CN105380575B - Control method, system, Cloud Server and the sweeping robot of sweeping robot - Google Patents
Control method, system, Cloud Server and the sweeping robot of sweeping robot Download PDFInfo
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- CN105380575B CN105380575B CN201510922614.XA CN201510922614A CN105380575B CN 105380575 B CN105380575 B CN 105380575B CN 201510922614 A CN201510922614 A CN 201510922614A CN 105380575 B CN105380575 B CN 105380575B
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- 238000010408 sweeping Methods 0.000 title claims abstract description 186
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004140 cleaning Methods 0.000 claims abstract description 56
- 238000011109 contamination Methods 0.000 claims description 24
- 239000000284 extract Substances 0.000 claims description 6
- 238000003900 soil pollution Methods 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 238000010926 purge Methods 0.000 abstract 1
- 230000007613 environmental effect Effects 0.000 description 16
- 238000010586 diagram Methods 0.000 description 11
- 239000002689 soil Substances 0.000 description 9
- 230000006870 function Effects 0.000 description 5
- 235000013399 edible fruits Nutrition 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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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
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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
- A47L2201/00—Robotic cleaning machines, i.e. with automatic control of the travelling movement or the cleaning operation
- A47L2201/06—Control of the cleaning action for autonomous devices; Automatic detection of the surface condition before, during or after cleaning
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- Electric Vacuum Cleaner (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of control method of sweeping robot, system, Cloud Server and sweeping robot, wherein, method includes：The ground image on ground in sweeping robot shooting room, and it is uploaded to Cloud Server；Cloud Server is analyzed ground image, to obtain region and ground the dirt degree to be cleaned on ground in room；Cloud Server judges whether dirt degree in ground is more than the first predetermined threshold value；When dirt degree in ground is more than the first predetermined threshold value, Cloud Server sends in region to be cleaned to sweeping robot；And sweeping robot is treated purging zone and cleaned.This method can independently judge current ambient conditions, and be cleaned according to current ambient conditions, realize the real cleaning to ground, practical.
Description
Technical Field
The invention relates to the technical field of household appliance manufacturing, in particular to a sweeping robot, a control method and a control system of the sweeping robot, a cloud server and the sweeping robot.
Background
At present, the floor can be cleaned by a sweeping robot so as to achieve the purpose of reducing the housework burden of a user. However, when a traditional floor sweeping robot cleans a room, due to the adoption of a uniform cleaning mode, the cleaning of a region with relatively high dirt degree is difficult, or a clean region which does not need cleaning is cleaned, so that unreasonable allocation of resources is caused, the practicability is not high, and inconvenience is brought to the life of a user.
Disclosure of Invention
The object of the present invention is to solve at least to some extent one of the above mentioned technical problems.
Therefore, the first purpose of the invention is to provide a control method of a sweeping robot. The method can autonomously judge the current environmental condition and clean according to the current environmental condition, thereby realizing real cleaning of the ground, reasonably utilizing resources, reducing the housework burden of users and having strong practicability.
The second purpose of the invention is to provide a control system of the sweeping robot.
The third purpose of the invention is to provide a cloud server.
The fourth purpose of the invention is to provide a sweeping robot.
To achieve the above object, a method for controlling a sweeping robot according to an embodiment of the first aspect of the present invention includes: the floor sweeping robot shoots a floor image of the floor in a room and uploads the floor image to the cloud server; the cloud server analyzes the ground image to obtain the to-be-cleaned area of the ground in the room and the degree of the dirt on the ground; the cloud server judges whether the ground pollution degree is greater than a first preset threshold value or not; when the floor contamination degree is larger than the first preset threshold value, the cloud server sends the area to be cleaned to the sweeping robot; and the sweeping robot cleans the area to be cleaned.
According to the control method of the sweeping robot, the cloud server analyzes the image of the ground in the room shot by the sweeping robot to obtain the area to be swept in the room and the dirt degree of the ground, and when the dirt degree of the ground is larger than a first preset threshold value, the area to be swept is sent to the sweeping robot so that the sweeping robot can sweep the area to be swept. The method enables the cloud server to autonomously judge the current environmental condition and select the area to be cleaned according to the current environmental condition so as to be cleaned by the sweeping robot, thereby realizing real cleaning of the ground, reasonably utilizing resources, reducing the housework burden of a user and having strong practicability.
In addition, in an embodiment of the present invention, the analyzing, by the cloud server, the ground image specifically includes: the cloud server extracts images of the above-ground objects in the ground image; the cloud server matches the articles on the ground according to a preset garbage model, and counts the number of the articles in a unit area, wherein the articles conform to the garbage model; and when the quantity of the articles conforming to the garbage model in the unit area is greater than a second preset threshold value, the cloud server takes the corresponding unit area as the area to be cleaned.
In one embodiment of the invention, the cloud server calculates the garbage quantity grade of the area to be cleaned according to the quantity of the articles in the area to be cleaned, which accord with the garbage model.
In one embodiment of the invention, the indoor floor includes a plurality of areas to be cleaned, the method further comprising: and the cloud server calculates the soil pollution degree according to the garbage quantity grades corresponding to the multiple areas to be cleaned.
In an embodiment of the present invention, the method for controlling the sweeping robot further includes: the cloud server calculates first time required by cleaning according to the garbage quantity grades of the areas to be cleaned; the cloud server calculates a second time from the sweeping robot to the area to be swept according to the distance between the area to be swept and the sweeping robot, which is detected by an infrared sensor in the sweeping robot; the cloud server generates the sum of time required by cleaning the plurality of areas to be cleaned according to the first time and the second time; and the cloud server sends the required time sum to the sweeping robot or the mobile terminal of the user.
To achieve the above object, a control system of a sweeping robot according to a second aspect of the present invention includes: the sweeping robot is used for shooting a ground image of the ground in a room, uploading the image to the cloud server, receiving an area to be cleaned sent by the cloud server, and cleaning the area to be cleaned; the cloud server is used for analyzing the ground image sent by the sweeping robot to acquire the to-be-swept area and the dirty degree of the ground in the room, judging whether the dirty degree of the ground is greater than a first preset threshold value or not, and sending the to-be-swept area to the sweeping robot when the dirty degree of the ground is greater than the first preset threshold value.
According to the control system of the sweeping robot, the cloud server analyzes the image of the ground in the room shot by the sweeping robot to obtain the area to be swept in the room and the dirt degree of the ground, and sends the area to be swept to the sweeping robot when the dirt degree of the ground is greater than a first preset threshold value, so that the sweeping robot can sweep the area to be swept. This control system of robot sweeps floor independently judges current environmental aspect through cloud ware to according to the current environmental aspect selection treat the region of sweeping the floor and clean for the robot of sweeping the floor, realized really clean to ground, reasonable utilization the resource, alleviate the burden that the user did the housework, the practicality is strong.
In addition, in an embodiment of the present invention, the cloud server is specifically configured to: and extracting images of articles above the ground in the ground image, matching the articles above the ground according to a preset garbage model, counting the number of the articles which accord with the garbage model in a unit area, and taking the corresponding unit area as the area to be cleaned when the number of the articles which accord with the garbage model in the unit area is larger than a second preset threshold value.
In an embodiment of the present invention, the cloud server is further configured to: and calculating the garbage quantity grade of the area to be cleaned according to the quantity of the articles in the area to be cleaned, which accord with the garbage model.
In one embodiment of the present invention, the indoor floor includes a plurality of areas to be cleaned, and the cloud server is further configured to: and calculating the floor pollution degree according to the quantity grades of the garbage corresponding to the plurality of areas to be cleaned.
In an embodiment of the present invention, the cloud server is further configured to: calculating first time required for cleaning according to the quantity grade of a plurality of garbage in the area to be cleaned, calculating second time from the cleaning robot to the area to be cleaned according to the distance between the area to be cleaned and the cleaning robot, detected by an infrared sensor in the cleaning robot, adding the first time and the second time to obtain third time, and sending the time required for cleaning to the cleaning robot or a mobile terminal of a user.
To achieve the above object, a cloud server according to an embodiment of the third aspect of the present invention includes: the receiving module is used for receiving the floor image of the floor in the room sent by the sweeping robot; the acquisition module is used for analyzing the ground image to acquire the to-be-cleaned area of the ground in the room and the dirt degree of the ground; the judging module is used for judging whether the ground pollution degree is greater than a first preset threshold value or not; and the sending module is used for sending the area to be cleaned to the sweeping robot when the judging module judges that the dirt degree of the ground is greater than the first preset threshold value, so that the sweeping robot cleans the area to be cleaned.
According to the cloud server provided by the embodiment of the invention, the acquisition module is used for analyzing the image of the ground in the room, which is shot by the sweeping robot and received by the receiving module, so as to acquire the area to be swept in the room and the dirty degree of the ground, and when the judging module judges that the dirty degree of the ground is greater than a first preset threshold value, the sending module is used for sending the area to be swept to the sweeping robot so as to enable the sweeping robot to sweep the area to be swept. This cloud ware makes the cloud ware independently judge current environmental aspect to the region of waiting to clean is in order to supply the robot of sweeping the floor to clean according to current environmental aspect selection, has realized the real cleanness on ground, reasonable utilization the resource, alleviate the burden that the user did the housework, the practicality is strong.
In addition, in an embodiment of the present invention, the obtaining module specifically includes: an extraction unit for extracting an image of an item above the ground in the ground image; the matching unit is used for matching the articles on the ground according to a preset garbage model; the counting unit is used for counting the quantity of the articles which accord with the garbage model in the unit area; and the acquisition unit is used for taking the corresponding unit area as the area to be cleaned when the quantity of the articles which accord with the garbage model in the unit area is larger than a second preset threshold value.
In an embodiment of the present invention, the cloud server further includes: and the first calculation module is used for calculating the garbage quantity grade of the area to be cleaned according to the quantity of the articles in the area to be cleaned, which accord with the garbage model.
In one embodiment of the present invention, the indoor surface includes a plurality of areas to be cleaned, and further includes: and the second calculation module is used for calculating the soil pollution degree according to the quantity grades of the garbage corresponding to the plurality of areas to be cleaned.
In an embodiment of the present invention, the cloud server further includes: the third calculation module is used for calculating first time required for cleaning according to the quantity grade of the garbage in the areas to be cleaned, calculating second time from the cleaning robot to the areas to be cleaned according to the distance between the areas to be cleaned and the cleaning robot, which is detected by an infrared sensor in the cleaning robot, and generating the sum of the required time for cleaning the areas to be cleaned according to the first time and the second time; the sending module is further configured to send the sum of the required time to the sweeping robot or a mobile terminal of the user.
To achieve the above object, a sweeping robot according to a fourth aspect of the present invention includes: the shooting module is used for shooting a ground image of the ground in the room; the uploading module is used for uploading the ground image to a cloud server so that the cloud server analyzes the ground image to obtain an area to be cleaned and a ground pollution degree of the ground in the room, and when the ground pollution degree is judged to be larger than the first preset threshold value, the area to be cleaned is sent to the sweeping robot; the receiving module is used for receiving the area to be cleaned sent by the cloud server; and the cleaning module is used for cleaning the area to be cleaned.
According to the sweeping robot provided by the embodiment of the invention, the image of the ground in the room shot by the shooting module is uploaded to the cloud server through the uploading module, so that the cloud server can analyze the image and obtain the area to be swept in the room and the dirt degree of the ground, and when the dirt degree of the ground is greater than a first preset threshold value, the area to be swept is sent to the sweeping robot, so that the sweeping robot can sweep the area to be swept. This robot of sweeping floor is according to the cloud ware and independently judges current environmental aspect to according to the current environmental aspect selection treat that to clean the region in order to clean, realized really clean to ground, reasonable utilization the resource, alleviate the burden that the user did the housework, the practicality is strong.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which,
fig. 1 is a flowchart of a control method of a sweeping robot according to an embodiment of the present invention;
fig. 2 is a flowchart of a control method of a sweeping robot according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a control system of the sweeping robot according to an embodiment of the invention;
FIG. 4 is a schematic structural diagram of a cloud server according to one embodiment of the present invention;
FIG. 5 is a schematic diagram of a cloud server according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a cloud server according to another embodiment of the present invention;
FIG. 7 is a schematic diagram of a cloud server according to another embodiment of the present invention;
FIG. 8 is a schematic diagram of a cloud server according to yet another embodiment of the present invention; and
fig. 9 is a schematic structural diagram of a sweeping robot according to an embodiment of the present invention.
Reference numerals: the sweeping robot comprises a sweeping robot 100, a cloud server 200, a receiving module 410, an obtaining module 420, a judging module 430, a sending module 440, a first calculating module 450, a second calculating module 460, a third calculating module 470, an extracting unit 421, a matching unit 422, a counting unit 423, an extracting unit 423, an obtaining unit 424, a shooting module 910, an uploading module 920, a receiving module 930 and a cleaning module 940.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes a control method and system of a sweeping robot, a cloud server, and a sweeping robot according to embodiments of the present invention with reference to the drawings.
Fig. 1 is a flowchart of a control method of a sweeping robot according to an embodiment of the present invention.
As shown in fig. 1, the control method of the sweeping robot includes:
and S110, shooting the ground image of the ground in the room by the sweeping robot, and uploading the ground image to a cloud server.
Specifically, the sweeping robot is provided with a camera and an infrared sensor, the sweeping robot shoots images of the ground in a room through the camera, and the shot images are uploaded to a cloud server through the infrared sensor. It will be appreciated that the floor image may be multiple, encompassing the entire floor area within the room.
And S120, analyzing the ground image by the cloud server to obtain the to-be-cleaned area of the ground in the room and the dirt degree of the ground.
Specifically, in the embodiment of the present invention, the cloud server may extract an image of an above-ground object in the ground image, where the object includes non-garbage objects such as slippers placed on the ground and garbage objects such as fruit shells, and then match the above-ground object according to a preset garbage model to identify the garbage object in the object, and count the number of the objects in the unit area that conform to the garbage model. The garbage module can be formed by self-learning and training of the cloud server according to big data.
More specifically, when the number of articles conforming to the garbage model in the unit area is greater than a second preset threshold, the cloud server may use the corresponding unit area as the area to be cleaned, where the second preset threshold is calibrated by the system according to a large amount of collected related data, and by comparing the number of articles conforming to the garbage model with the second preset threshold, it may be obtained whether the garbage in the unit area needs to be cleaned, so as to determine whether the unit area reaches a step that needs to be cleaned, for example, if the number of garbage in the unit area is less than the second preset threshold, it indicates that the number of garbage in the unit area is small, for example, the garbage in the unit area is only one hair, it indicates that the unit area does not reach the step that needs to be cleaned, so as not to use the area as the area to be cleaned.
In order to improve the accuracy of determining the degree of soil contamination on the ground, further, in an embodiment of the present invention, the control method may further include: the cloud server calculates the grade of the garbage quantity of the to-be-cleaned area according to the quantity of the articles conforming to the garbage model in the to-be-cleaned area, and it can be understood that a table corresponding to the quantity of the articles conforming to the garbage model and the grade is stored in the cloud server, for example, the quantity of the articles conforming to the garbage model is divided into four ranges from a small quantity to a large quantity, which correspond to A, B, C and four grades D, respectively, the grade A represents the quantity range with the minimum quantity, and the grade D represents the quantity range with the maximum quantity.
In an embodiment of the present invention, the floor in the room may include a plurality of areas to be cleaned. Further, in an embodiment of the present invention, the control method may further include: the cloud server can calculate the degree of the soil contamination on the ground according to the corresponding garbage quantity grades of the multiple areas to be cleaned. It can be understood that, in the embodiment of the present invention, the cloud server stores the table corresponding to the garbage quantity grades and the floor pollution levels corresponding to the areas to be cleaned, for example, the pollution levels of the floors corresponding to the four grades A, B, C and D representing that the garbage quantity corresponding to the areas to be cleaned is from low to high are clean, normal, dirty and dirty, so that the floor pollution levels can be calculated according to the corresponding garbage quantity grades of the areas to be cleaned. The degree of contamination of the floor surface may be represented by a number, for example, the degree of contamination of the floor surface is represented by a specific number in a range of four levels A, B, C and D from low to high in the amount of garbage corresponding to the area to be cleaned.
It should be noted that, in the embodiment of the present invention, the cloud server counts the number of the articles in the unit area, which is in accordance with the garbage model, and it can be understood that the unit area may be calibrated by the system according to the performance of each sweeping robot, for example, in a range of 1m × 1m, or calibrated by the user according to personal requirements, for example, the user may set the unit area to be larger, so that the household robot cleans the larger unit area after the garbage reaches a certain amount in the larger unit area. The unit area is set in order to enable the sweeping robot to adopt different sweeping modes for each area more conveniently, so that the area to be swept is more suitable for sweeping, the ground area in a current room is composed of a plurality of unit areas, and in addition, the size of the unit area has certain limitation, namely, a cloud server can easily identify the sweeping operation of the sweeping robot and can also completely reflect the unit area in a picture shot by the sweeping robot.
S130, the cloud server judges whether the dirt degree of the ground is larger than a first preset threshold value.
Specifically, in an embodiment of the present invention, the cloud server determines whether the degree of contamination on the ground is greater than a first preset threshold, so as to determine whether the area needs to be cleaned, where in an embodiment of the present invention, the first preset threshold may be calibrated by the system.
In addition, in an embodiment of the present invention, the first preset threshold may also be manually calibrated by a user to meet different requirements of a scene, for example, if the sweeping robot is applied to an area with a high requirement on cleanliness, such as a people hall, the user calibrates the first preset threshold to a smaller value, so that the sweeping robot has a high sensitivity to garbage in the area, and thus the area is maintained highly clean. For another example, if the sweeping robot is applied to the home of the user, the user can mark the first preset threshold value to a higher value because the electric quantity required by the sweeping robot for sweeping is saved, so that the garbage on the ground area of the sweeping robot in the home of the user can be swept to a certain degree.
And S140, when the ground pollution degree is greater than a first preset threshold value, the cloud server sends the area to be cleaned to the sweeping robot.
In an embodiment of the invention, when the degree of contamination of the floor is greater than a first preset threshold, the cloud server may send the information about the area to be cleaned to the sweeping robot in an infrared manner, where the number of the area to be cleaned may be multiple.
In order to make the user know the time required for cleaning the current room more clearly, further, in an embodiment of the present invention, as shown in fig. 2, the cloud server may calculate the first time required for cleaning according to the grade of the garbage amount of the plurality of areas to be cleaned (S210), i.e., the more the garbage amount, the more the first time required for cleaning. Then, the cloud server may calculate a second time from the sweeping robot to the to-be-swept area according to the distance between the to-be-swept area and the sweeping robot detected by the infrared sensor in the sweeping robot (S220), that is, the sweeping robot may detect the distance from the sweeping robot to the plurality of to-be-swept areas by using the infrared sensor and upload the detected distance to the cloud server, so that the cloud server calculates the second time from the sweeping robot to the to-be-swept area according to the speed of the sweeping robot. Then, the cloud server may generate a sum of times required to clean the plurality of areas to be cleaned according to the first time and the second time (S230), for example, may calculate a sum of the first time and the second time to obtain the sum of times required to clean the plurality of areas to be cleaned. Finally, the cloud server may transmit the required sum of time to the sweeping robot or the mobile terminal of the user (S240). It can be understood that the device on the sweeping robot always has a display screen or a voice playing device, and is used for prompting the user about the time taken for cleaning the area to be cleaned or sending the third time to the related application program of the mobile terminal, so that the user can perform operations such as confirmation or rejection on the sweeping robot or the mobile terminal, for example, the user can reject the cleaning operation on the application program of the mobile terminal, or set the cleaning operation for half an hour before execution.
In an embodiment of the invention, the first time may be a time required by the sweeping robot to sweep a first area to be swept, and after the area is swept, a time required by the sweeping robot to sweep a second area to be swept is calculated again, that is, the first time may be a total time required by the sweeping robot to sweep all the areas to be swept, or may be a time required by each area to be swept, and the same second time may be a time spent by the sweeping robot to reach a certain area to be swept that is currently to be swept, or may be a total time required by the cloud server to sweep a route traveled by the sweeping robot to the areas to be swept, which is planned according to positions of the areas to be swept.
It should be noted that the mobile terminal may be a hardware device with various operating systems, such as a mobile phone, a tablet computer, a personal digital assistant, and a wearable device, and the wearable device may be an intelligent bracelet, an intelligent watch, an intelligent glasses, and the like.
S150, the sweeping robot cleans the area to be cleaned.
Specifically, after receiving the relevant information of the area to be cleaned sent by the cloud server, the sweeping robot cleans the area to be cleaned.
According to the control method of the sweeping robot, the cloud server analyzes the image of the ground in the room shot by the sweeping robot to obtain the area to be swept in the room and the dirt degree of the ground, and when the dirt degree of the ground is larger than a first preset threshold value, the area to be swept is sent to the sweeping robot so that the sweeping robot can sweep the area to be swept. According to the method, the current environment condition is automatically judged through the cloud server, the area to be cleaned is selected according to the current environment condition to be cleaned by the sweeping robot, the ground is really cleaned, resources are reasonably utilized, the housework burden of a user is relieved, and the practicability is high.
In order to implement the above embodiments, the present invention further provides a control system of a sweeping robot, and fig. 3 is a schematic structural diagram of the control system of the sweeping robot according to an embodiment of the present invention.
As shown in fig. 3, the control system of the sweeping robot includes: the sweeping robot 100 and the cloud server 200.
The sweeping robot 100 is configured to capture a ground image of the ground in the room, upload the ground image to the cloud server 200, receive the to-be-swept area sent by the cloud server 200, and sweep the to-be-swept area.
The cloud server 200 is configured to analyze the ground image sent by the sweeping robot 100, so as to acquire the to-be-swept area and the dirty degree of the ground in the room, determine whether the dirty degree of the ground is greater than a first preset threshold value, and send the to-be-swept area to the sweeping robot 100 when the dirty degree of the ground is greater than the first preset threshold value.
Specifically, the sweeping robot 100 is provided with a camera and an infrared sensor, and the sweeping robot 100 shoots an image of the ground in a room through the camera and uploads the shot image to the cloud server 200 through the infrared sensor. It will be appreciated that the floor image may be multiple, encompassing the entire floor area within the room.
In the embodiment of the present invention, the cloud server 200 may extract an image of an above-ground object in the ground image, where the object includes non-garbage objects such as slippers placed on the ground and garbage objects such as fruit shells, and then the cloud server 200 matches the above-ground object according to a preset garbage model to identify the garbage object in the object, and counts the number of the objects in the unit area that conform to the garbage model, it may be understood that a large number of garbage models are stored in the cloud server 200, and autonomously identifies garbage on the ground according to matching the image of the above-ground object with the garbage models, and further counts the number of the objects in the unit area that conform to the garbage models. The garbage module can be formed by self-learning and training of the cloud server according to big data.
More specifically, when the number of articles conforming to the garbage model in the unit area is greater than a second preset threshold, the cloud server 200 may use the corresponding unit area as an area to be cleaned, where the second preset threshold is calibrated by the system according to a large amount of collected related data, and by comparing the number of articles conforming to the garbage model with the second preset threshold, it may be obtained whether the garbage in the unit area needs to be cleaned, so as to determine whether the unit area in the area reaches a place where the garbage needs to be cleaned. For example, if the amount of garbage in the unit area is smaller than the second preset threshold, it indicates that the amount of garbage in the unit area is small, for example, the amount of garbage in the unit area is only one hair, it indicates that the unit area has not reached the stage where cleaning is needed, and thus the area is not regarded as the area to be cleaned.
In order to improve the accuracy of determining the degree of soil on the ground, in an embodiment of the present invention, the cloud server 200 is further configured to calculate a grade of the quantity of garbage in the area to be cleaned according to the quantity of articles in the area to be cleaned, and it is understood that the cloud server 200 stores a table corresponding to the quantity of articles in the garbage model and the grade, for example, the quantity of articles in the garbage model is divided into four ranges from as few as possible, which correspond to A, B, C and four grades D, respectively, where the grade a represents the quantity range with the smallest quantity, and the grade D represents the quantity range with the largest quantity.
In an embodiment of the present invention, the floor in the room may include a plurality of areas to be cleaned. Further, in the embodiment of the present invention, the cloud server 200 may be further configured to calculate the degree of soil contamination on the ground according to the corresponding garbage amount levels of the plurality of areas to be cleaned. It is understood that, in the embodiment of the present invention, the cloud server 200 stores a table in which the garbage quantity grades corresponding to the areas to be cleaned correspond to the soil contamination degrees, for example, the soil contamination degrees of the ground corresponding to the four grades A, B, C and D representing that the garbage quantity corresponding to the areas to be cleaned is from low to high are clean, normal, dirty and dirty, so that the soil contamination degree can be calculated according to the corresponding garbage quantity grades of the areas to be cleaned. The degree of contamination of the floor surface may be represented by a number, for example, the degree of contamination of the floor surface is represented by a specific number in a range of four levels A, B, C and D from low to high in the amount of garbage corresponding to the area to be cleaned.
Further, the cloud server 200 determines whether the dirt level of the floor is greater than a first preset threshold value, so that it can be determined whether the area needs to be cleaned, and when the dirt level of the floor is greater than the first preset threshold value, the cloud server 200 sends the area to be cleaned to the cleaning robot 100.
In an embodiment of the present invention, when the degree of contamination of the floor surface is greater than a first preset threshold, the cloud server 200 may send information about an area to be cleaned to the sweeping robot 100 in an infrared manner, where the area to be cleaned may be multiple.
In order to enable the user to know the time required for cleaning the current room more clearly, in an embodiment of the present invention, the cloud server 200 is further configured to calculate a first time required for cleaning according to the garbage quantity levels of the multiple areas to be cleaned, calculate a second time from the sweeping robot 100 to the area to be cleaned according to a distance between the area to be cleaned and the sweeping robot 100, which is detected by an infrared sensor in the sweeping robot 100, add the first time and the second time to obtain a third time, and send the time required for cleaning to the sweeping robot 100 or the mobile terminal of the user.
In an embodiment of the present invention, the first time may be a time required for the sweeping robot 100 to sweep a first area to be swept, and after the area is swept, a time required for the sweeping robot 100 to sweep a second area to be swept is calculated again, that is, the first time may be a total time required for sweeping all the areas to be swept, or may be a time required for sweeping each area to be swept, and the same second time may be a time required for the sweeping robot 100 to reach a certain area to be swept that is currently to be swept, or may be a total time required for the cloud server 200 to sweep a route traveled by the sweeping robot 100 to sweep the areas to be swept, where the route is planned according to positions of the areas to be swept.
According to the control system of the sweeping robot, the cloud server analyzes the image of the ground in the room shot by the sweeping robot to obtain the area to be swept in the room and the dirt degree of the ground, and when the dirt degree of the ground is larger than a first preset threshold value, the area to be swept is sent to the sweeping robot so that the sweeping robot can sweep the area to be swept. This control system of robot sweeps floor independently judges current environmental aspect through cloud ware to according to the current environmental aspect selection treat the region of sweeping the floor and clean for the robot of sweeping the floor, realized really clean to ground, reasonable utilization the resource, alleviate the burden that the user did the housework, the practicality is strong.
In order to implement the above embodiment, the present invention further provides a cloud server. Fig. 4 is a schematic structural diagram of a cloud server according to an embodiment of the present invention.
As shown in fig. 4, the cloud server includes: a receiving module 410, an obtaining module 420, a judging module 430 and a sending module 440.
The receiving module 410 is configured to receive a floor image of a floor in a room sent by the sweeping robot.
Specifically, the sweeping robot is provided with a camera and an infrared sensor, the sweeping robot shoots images of the ground in a room through the camera, and the receiving module 410 receives the shot images through the infrared sensor.
The obtaining module 420 is configured to analyze the ground image to obtain a to-be-cleaned area of the ground in the room and a degree of dirt on the ground.
Fig. 5 is a schematic structural diagram of a cloud server according to a specific embodiment of the present invention, and as shown in fig. 5, the obtaining module 420 specifically includes: an extraction unit 421, a matching unit 422, a statistics unit 423, and an acquisition unit 424.
The extracting unit 421 is configured to extract an image of an object on the ground in the ground image, where the object includes non-garbage objects such as slippers and garbage objects such as shells placed on the ground, and then the matching unit 422 matches the object on the ground according to a preset garbage model to identify the garbage object in the object, so that the counting unit 423 counts the number of the objects in the unit area, which conform to the garbage model, it can be understood that a large number of garbage models are stored in the cloud server, and the garbage on the ground is automatically identified according to matching the image of the object on the ground with the garbage models, and further, the number of the objects in the unit area which conform to the garbage models is counted.
More specifically, the obtaining unit 424 is configured to, when the number of articles meeting the garbage model in the unit area is greater than a second preset threshold, regard the corresponding unit area as the area to be cleaned, where the second preset threshold is calibrated by the system according to a large amount of collected related data, and compare the number of articles meeting the garbage model with the second preset threshold, to obtain whether the garbage in the unit area needs to be cleaned, so as to determine whether the unit area in the area reaches a step that needs to be cleaned, for example, if the number of garbage in the unit area is smaller than the second preset threshold, it indicates that the number of garbage in the unit area is small, for example, the garbage in the unit area is only one hair, it indicates that the unit area does not reach the step that needs to be cleaned, so as not to regard the area as the area to be cleaned.
To improve the accuracy of determining the degree of soil contamination, further, in an embodiment of the present invention, as shown in fig. 6, the cloud server may further include: a receiving module 410, an obtaining module 420, a judging module 430, a sending module 440 and a first calculating module 450.
The first calculating module 450 is configured to calculate a grade of the quantity of garbage in the area to be cleaned according to the quantity of the articles conforming to the garbage model in the area to be cleaned, and it can be understood that a table corresponding to the quantity of the articles conforming to the garbage model and the grade is stored in the cloud server, for example, the quantity of the articles conforming to the garbage model is divided into four ranges from a minimum quantity to a maximum quantity, which correspond to A, B, C and four grades D, where the grade a represents a quantity range with the minimum quantity, and the grade D represents a quantity range with the maximum quantity.
In an embodiment of the present invention, the floor in the room may include a plurality of areas to be cleaned. Further, as shown in fig. 7, the cloud server includes: the device comprises a receiving module 410, an obtaining module 420, a judging module 430, a sending module 440, a first calculating module 450 and a second calculating module 460.
Specifically, the second calculating module 460 is configured to calculate the degree of soil contamination on the ground according to the corresponding garbage quantity levels of the plurality of areas to be cleaned. It can be understood that, in the embodiment of the present invention, the cloud server stores a table corresponding to the garbage quantity grades and the floor pollution levels corresponding to the areas to be cleaned, for example, the pollution levels of the floors corresponding to the four grades A, B, C and D representing that the garbage quantity corresponding to the areas to be cleaned is from low to high are clean, normal, dirty and dirty, respectively, so that the second calculating module 460 can calculate the floor pollution levels according to the corresponding garbage quantity grades of the areas to be cleaned. The degree of contamination of the floor surface may be represented by a number, for example, the degree of contamination of the floor surface is represented by a specific number in a range of four levels A, B, C and D from low to high in the amount of garbage corresponding to the area to be cleaned.
The determining module 430 is configured to determine whether the degree of contamination on the ground is greater than a first preset threshold.
Specifically, in the embodiment of the present invention, the determining module 430 determines whether the degree of dirt on the ground is greater than a first preset threshold, so as to determine whether the area needs to be cleaned, where the first preset threshold may be calibrated by the system or a user.
The sending module 440 is configured to send the area to be cleaned to the sweeping robot when the determining module 430 determines that the dirt degree on the ground is greater than the first preset threshold, so that the sweeping robot cleans the area to be cleaned.
Further, as shown in fig. 8, the cloud server includes: a receiving module 410, an obtaining module 420, a judging module 430, a sending module 440, a first calculating module 450, a second calculating module 460 and a third calculating module 470.
Specifically, in order to enable the user to know the time required for cleaning the current room more clearly, the third calculating module 470 is configured to calculate a first time required for cleaning according to the garbage quantity level of the multiple areas to be cleaned, calculate a second time from the sweeping robot to the areas to be cleaned according to the distance between the areas to be cleaned and the sweeping robot, which is detected by the infrared sensor in the sweeping robot, and generate the total time required for cleaning the multiple areas to be cleaned according to the first time and the second time; wherein, the sending module 440 described next is further configured to send the sum of the required time to the sweeping robot or the mobile terminal of the user.
In an embodiment of the present invention, the first time may be a time required by the sweeping robot to sweep a first area to be swept, and after the area is swept, the third calculating module 470 calculates a time required by the sweeping robot to sweep a second area to be swept again, that is, the first time may be a total time required by the sweeping robot to sweep all the areas to be swept, or may be a time required by each area to be swept, and the same second time may be a time taken by the robot to reach a certain area to be swept that is currently to be swept, or may be a total time required by the third calculating module 470, and a route traveled by the sweeping robot to sweep the areas to be swept, which is planned by the cloud server according to positions of the areas to be swept, is calculated by the cloud server.
The sending module 440 is configured to send the area to be cleaned to the sweeping robot when the determining module 430 determines that the dirt degree of the ground is greater than the first preset threshold, so that the sweeping robot cleans the area to be cleaned.
According to the cloud server provided by the embodiment of the invention, the area to be cleaned in the room and the dirt degree of the ground are obtained by analyzing the image of the ground in the room shot by the sweeping robot, and when the dirt degree of the ground is greater than a first preset threshold value, the area to be cleaned is sent to the sweeping robot so as to be used for the sweeping robot to clean the area to be cleaned. This cloud ware can independently judge current environmental aspect to the region of waiting to clean is in order to supply the robot of sweeping the floor to clean according to current environmental aspect selection, has realized the real cleanness on ground, reasonable utilization the resource, alleviate the burden that the user did the housework, the practicality is strong.
In order to realize the embodiment, the invention further provides a sweeping robot. Fig. 9 is a schematic structural diagram of a sweeping robot according to an embodiment of the present invention.
As shown in fig. 9, the sweeping robot includes: a photographing module 910, an uploading module 920, a receiving module 930, and a cleaning module 940.
The photographing module 910 is configured to photograph a ground image of the ground in the room.
Upload module 920 is used for uploading the ground image to the cloud server to make the cloud server analyze the ground image, so as to obtain the dirty degree of the area and the ground of waiting to clean on the ground in the room, and when judging that the dirty degree of the ground is greater than a first preset threshold value, send the area of waiting to clean to the robot of sweeping the floor.
Specifically, in the embodiment of the present invention, the cloud server may extract an image of an above-ground object in the ground image uploaded by the upload module 920, where the object includes non-garbage objects such as slippers placed on the ground and garbage objects such as fruit shells, and then match the above-ground object according to a preset garbage model to identify the garbage objects in the object, count the number of the objects in the unit area that meet the garbage model, and when the number of the objects in the unit area that meet the garbage model is greater than a second preset threshold, the cloud server may use the corresponding unit area as an area to be cleaned.
Further, the cloud server can calculate the floor pollution degree according to the corresponding garbage quantity grades of the multiple areas to be cleaned. It can be understood that, in the embodiment of the present invention, the cloud server stores the table corresponding to the garbage quantity grades and the floor pollution levels corresponding to the areas to be cleaned, for example, the pollution levels of the floors corresponding to the four grades A, B, C and D representing that the garbage quantity corresponding to the areas to be cleaned is from low to high are clean, normal, dirty and dirty, so that the floor pollution levels can be calculated according to the corresponding garbage quantity grades of the areas to be cleaned. The degree of contamination of the floor surface may be represented by a number, for example, the degree of contamination of the floor surface is represented by a specific number in a range of four levels A, B, C and D from low to high in the amount of garbage corresponding to the area to be cleaned.
Furthermore, the cloud server determines whether the degree of contamination of the ground is greater than a first preset threshold, so as to determine whether the area needs to be cleaned, wherein in an embodiment of the present invention, the first preset threshold may be calibrated by the system or a user. In an embodiment of the invention, when the degree of contamination of the floor is greater than a first preset threshold, the cloud server may send the information about the area to be cleaned to the sweeping robot in an infrared manner, where the number of the area to be cleaned may be multiple.
A receiving module 930, configured to receive the area to be cleaned sent by the cloud server.
And a cleaning module 940 for cleaning the area to be cleaned.
According to the sweeping robot disclosed by the embodiment of the invention, the cloud server analyzes the image of the ground in the room, which is uploaded by the uploading module and shot by the shooting module, so as to obtain the area to be swept in the room and the dirt degree of the ground, the area to be swept is sent to the sweeping robot when the dirt degree of the ground is greater than a first preset threshold value, and the area to be swept is swept by the sweeping module after the receiving module receives the area to be swept. This robot of sweeping floor utilizes cloud ware independently to judge current environmental aspect to the region of waiting to clean is in order to supply the robot of sweeping floor to clean according to current environmental aspect selection, has realized the real cleanness on ground, reasonable utilization the resource, alleviate the burden that the user did housework, the practicality is strong.
In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (13)
1. A control method of a sweeping robot is characterized by comprising the following steps:
the floor sweeping robot shoots a floor image of the floor in a room and uploads the floor image to the cloud server;
the cloud server analyzes the ground image to acquire an area to be cleaned on the ground in the room and the degree of the dirt on the ground, wherein the analysis of the ground image by the cloud server specifically comprises: the cloud server extracts images of the above-ground objects in the ground image;
the cloud server matches the articles on the ground according to a preset garbage model, and counts the number of the articles in a unit area, wherein the articles conform to the garbage model;
when the quantity of the articles which accord with the garbage model in the unit area is larger than a second preset threshold value, the cloud server takes the corresponding unit area as the area to be cleaned;
the cloud server judges whether the ground pollution degree is greater than a first preset threshold value or not;
when the floor contamination degree is larger than the first preset threshold value, the cloud server sends the area to be cleaned to the sweeping robot; and
and the sweeping robot cleans the area to be cleaned.
2. The method of controlling a sweeping robot according to claim 1, further comprising:
and the cloud server calculates the garbage quantity grade of the area to be cleaned according to the quantity of the articles in the area to be cleaned, which accord with the garbage model.
3. The method of controlling a sweeping robot of claim 2, wherein the floor surface in the room includes a plurality of areas to be swept, the method further comprising:
and the cloud server calculates the soil pollution degree according to the garbage quantity grades corresponding to the multiple areas to be cleaned.
4. The control method of the sweeping robot according to claim 3, further comprising:
the cloud server calculates first time required by cleaning according to the garbage quantity grades of the areas to be cleaned;
the cloud server calculates a second time from the sweeping robot to the area to be swept according to the distance between the area to be swept and the sweeping robot, which is detected by an infrared sensor in the sweeping robot;
the cloud server generates the sum of time required by cleaning the plurality of areas to be cleaned according to the first time and the second time;
and the cloud server sends the required time sum to the sweeping robot or the mobile terminal of the user.
5. A control system of a floor sweeping robot is characterized by comprising: a sweeping robot and a cloud server, wherein,
the sweeping robot is used for shooting a ground image of the ground in a room, uploading the image to the cloud server, receiving the area to be cleaned sent by the cloud server and cleaning the area to be cleaned;
the cloud server is used for right the robot of sweeping the floor sends the ground image carries out the analysis, in order to obtain the region and the dirty degree in ground of treating in the room of sweeping the floor, and judge whether the dirty degree in ground is greater than first preset threshold value, and when the dirty degree in ground is greater than first preset threshold value, will treat to sweep the region send to the robot of sweeping the floor, wherein, the cloud server is right the robot of sweeping the floor sends the ground image carries out the analysis and specifically includes:
and extracting images of articles above the ground in the ground image, matching the articles above the ground according to a preset garbage model, counting the number of the articles which accord with the garbage model in a unit area, and taking the corresponding unit area as the area to be cleaned when the number of the articles which accord with the garbage model in the unit area is larger than a second preset threshold value.
6. The control system of the sweeping robot of claim 5, wherein the cloud server is further configured to: and calculating the garbage quantity grade of the area to be cleaned according to the quantity of the articles in the area to be cleaned, which accord with the garbage model.
7. The control system of claim 6, wherein the floor in the room comprises a plurality of areas to be cleaned, the cloud server is further configured to: and calculating the floor pollution degree according to the quantity grades of the garbage corresponding to the plurality of areas to be cleaned.
8. The control system of the sweeping robot of claim 7, wherein the cloud server is further configured to: calculating first time required for cleaning according to the quantity grade of a plurality of garbage in the area to be cleaned, calculating second time from the cleaning robot to the area to be cleaned according to the distance between the area to be cleaned and the cleaning robot, detected by an infrared sensor in the cleaning robot, adding the first time and the second time to obtain third time, and sending the time required for cleaning to the cleaning robot or a mobile terminal of a user.
9. A cloud server, comprising:
the receiving module is used for receiving the floor image of the floor in the room sent by the sweeping robot;
the acquisition module is used for analyzing the ground image to acquire the to-be-cleaned area of the ground in the room and the ground pollution degree, wherein the acquisition module specifically comprises:
an extraction unit for extracting an image of an item above the ground in the ground image;
the matching unit is used for matching the articles on the ground according to a preset garbage model;
the counting unit is used for counting the quantity of the articles which accord with the garbage model in the unit area;
the acquisition unit is used for taking the corresponding unit area as the area to be cleaned when the quantity of the articles which accord with the garbage model in the unit area is larger than a second preset threshold value;
the judging module is used for judging whether the ground pollution degree is greater than a first preset threshold value or not;
and the sending module is used for sending the area to be cleaned to the sweeping robot when the judging module judges that the dirt degree of the ground is greater than the first preset threshold value, so that the sweeping robot cleans the area to be cleaned.
10. The cloud server of claim 9, further comprising:
and the first calculation module is used for calculating the garbage quantity grade of the area to be cleaned according to the quantity of the articles in the area to be cleaned, which accord with the garbage model.
11. The cloud server of claim 10, wherein said in-room floor comprises a plurality of areas to be cleaned, further comprising:
and the second calculation module is used for calculating the soil pollution degree according to the quantity grades of the garbage corresponding to the plurality of areas to be cleaned.
12. The cloud server of claim 11, further comprising:
the third calculation module is used for calculating first time required for cleaning according to the quantity grade of the garbage in the areas to be cleaned, calculating second time from the cleaning robot to the areas to be cleaned according to the distance between the areas to be cleaned and the cleaning robot, which is detected by an infrared sensor in the cleaning robot, and generating the sum of the required time for cleaning the areas to be cleaned according to the first time and the second time; wherein,
the sending module is further configured to send the sum of the required time to the sweeping robot or a mobile terminal of the user.
13. A sweeping robot is characterized by comprising:
the shooting module is used for shooting a ground image of the ground in the room;
the uploading module is used for uploading the ground image to a cloud server, so that the cloud server analyzes the ground image to obtain an area to be cleaned and a ground turbidity degree of the ground in the room, and when the ground turbidity degree is larger than a first preset threshold value, the area to be cleaned is sent to the sweeping robot, wherein the cloud server analyzes the ground image and specifically comprises: the cloud server extracts images of the above-ground objects in the ground image;
the cloud server matches the articles on the ground according to a preset garbage model, and counts the number of the articles in a unit area, wherein the articles conform to the garbage model;
when the quantity of the articles which accord with the garbage model in the unit area is larger than a second preset threshold value, the cloud server takes the corresponding unit area as the area to be cleaned;
the receiving module is used for receiving the area to be cleaned sent by the cloud server; and
and the cleaning module is used for cleaning the area to be cleaned.
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Families Citing this family (59)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105892321B (en) | 2016-04-28 | 2018-11-23 | 京东方科技集团股份有限公司 | A kind of dispatching method and dispatching device of clean robot |
| DE102016215525A1 (en) * | 2016-08-18 | 2018-02-22 | Volkswagen Aktiengesellschaft | Method and device for cleaning an interior of a motor vehicle |
| CN106444502B (en) * | 2016-09-28 | 2019-09-20 | 捷开通讯(深圳)有限公司 | A kind of intelligentized Furniture system and its control method |
| CN106388689A (en) * | 2016-10-18 | 2017-02-15 | 河池学院 | Automatic glass cleaning robot system |
| CN106325094A (en) * | 2016-10-30 | 2017-01-11 | 苏州市克拉思科文化传播有限公司 | Smart home management sweeping robot |
| CN108113595A (en) * | 2016-11-28 | 2018-06-05 | 沈阳新松机器人自动化股份有限公司 | A kind of energy-saving sweeping machine device people system, method and robot |
| CN106444786B (en) * | 2016-11-29 | 2019-07-02 | 北京小米移动软件有限公司 | The control method and device and electronic equipment of sweeping robot |
| CN106936895A (en) * | 2017-02-14 | 2017-07-07 | 上海庆科信息技术有限公司 | A kind of Cloud Server, sweeper and sweeper control system |
| CN108803590A (en) * | 2017-04-28 | 2018-11-13 | 深圳乐动机器人有限公司 | Robot cleaner schema control system |
| CN107126163A (en) * | 2017-05-03 | 2017-09-05 | 成都铅笔科技有限公司 | A kind of efficient cleaning system and method for sweeping robot |
| CN107233051B (en) * | 2017-07-03 | 2021-03-09 | 北京小米移动软件有限公司 | Control method and device of sweeping robot |
| DE102017118381A1 (en) * | 2017-08-11 | 2019-02-14 | Vorwerk & Co. Interholding Gmbh | Method for operating a self-propelled soil tillage implement |
| DE102017118380A1 (en) * | 2017-08-11 | 2019-02-14 | Vorwerk & Co. Interholding Gmbh | Method for operating a self-propelled cleaning device |
| CN107682624B (en) * | 2017-09-19 | 2020-11-13 | 深圳市盛路物联通讯技术有限公司 | System maintenance method and related product |
| CN107518833A (en) * | 2017-10-12 | 2017-12-29 | 南京中高知识产权股份有限公司 | A kind of obstacle recognition method of sweeping robot |
| CN109662654B (en) * | 2017-10-13 | 2021-10-19 | 松下家电(中国)有限公司 | Method for automatically detecting garbage distribution, quick cleaning method and key cleaning method |
| CN107877521A (en) * | 2017-11-06 | 2018-04-06 | 广西富迈科技有限公司 | Article identifies and processing method, robot terminal and storage medium |
| CN108937726A (en) * | 2017-11-27 | 2018-12-07 | 炬大科技有限公司 | A kind of clean robot awakening method and device based on cleannes identification |
| CN107807649A (en) * | 2017-11-28 | 2018-03-16 | 广东工业大学 | A kind of sweeping robot and its cleaning method, device |
| CN108107886B (en) * | 2017-11-29 | 2020-07-10 | 珠海格力电器股份有限公司 | Driving control method and device of sweeping robot and sweeping robot |
| CN108195028B (en) * | 2017-11-29 | 2019-09-20 | 珠海格力电器股份有限公司 | Method and device for pushing cleaning information of air conditioning equipment |
| CN107997692A (en) * | 2017-12-07 | 2018-05-08 | 北海市天硌打印耗材有限公司 | A kind of control method of sweeping robot |
| CN108125622A (en) * | 2017-12-15 | 2018-06-08 | 珊口（上海）智能科技有限公司 | Control method, system and the clean robot being applicable in |
| JP6985923B2 (en) * | 2017-12-20 | 2021-12-22 | ヤフー株式会社 | Information processing equipment, information processing methods and information processing programs |
| CN108078501A (en) * | 2017-12-20 | 2018-05-29 | 苏州燕云网络技术有限公司 | Sweeper adjust automatically cleans the method and sweeper of intensity |
| CN108214492A (en) * | 2017-12-29 | 2018-06-29 | 北京视觉世界科技有限公司 | Clean clean method, device, computer equipment and the storage medium in region |
| CN108245080A (en) * | 2017-12-29 | 2018-07-06 | 北京视觉世界科技有限公司 | Clean clean method, device, computer equipment and the storage medium in region |
| CN108338749A (en) * | 2018-03-20 | 2018-07-31 | 盛世乐居（亚东）智能科技有限公司 | Sweeping robot and its control method, device |
| US11241791B1 (en) * | 2018-04-17 | 2022-02-08 | AI Incorporated | Method for tracking movement of a mobile robotic device |
| CN110442120B (en) * | 2018-05-02 | 2022-08-05 | 深圳市优必选科技有限公司 | Method for controlling robot to move in different scenes, robot and terminal equipment |
| CN110442123B (en) * | 2018-05-03 | 2022-08-05 | 南宁富联富桂精密工业有限公司 | Cleaning robot, cleaning method, environment monitoring method, and computer storage medium |
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| CN109165582B (en) * | 2018-08-09 | 2021-09-24 | 河海大学 | Urban street garbage detection and cleanliness assessment method |
| CN109171571A (en) * | 2018-09-18 | 2019-01-11 | 格力电器（武汉）有限公司 | Garbage cleaning method and device and cleaning robot |
| CN109288455B (en) * | 2018-09-21 | 2022-03-04 | 北京智行者科技有限公司 | Garbage cleaning method and device |
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| CN109448002B (en) * | 2018-10-26 | 2020-07-31 | 江西省华宇智能集成有限公司 | Floor sweeping robot control method and system, mobile terminal and storage medium |
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| CN112205937B (en) * | 2019-07-12 | 2022-04-05 | 北京石头世纪科技股份有限公司 | Automatic cleaning equipment control method, device, equipment and medium |
| CN110251004B (en) * | 2019-07-16 | 2022-03-11 | 深圳市杉川机器人有限公司 | Sweeping robot, sweeping method thereof and computer-readable storage medium |
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| CN111084589A (en) * | 2019-12-17 | 2020-05-01 | 万翼科技有限公司 | Cleaning method and related product |
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| CN111528737A (en) * | 2020-05-08 | 2020-08-14 | 小狗电器互联网科技（北京）股份有限公司 | Control method and device of sweeper |
| CN111578610A (en) * | 2020-05-09 | 2020-08-25 | 珠海格力电器股份有限公司 | Refrigerator cleaning detection device and method and intelligent refrigerator |
| CN112274065B (en) * | 2020-10-29 | 2022-04-05 | 尚科宁家(中国)科技有限公司 | Cleaning robot and control method thereof |
| CN113311820B (en) * | 2021-04-03 | 2022-11-08 | 联友智连科技有限公司 | Unmanned vehicle automatic maneuvering system and method based on big data |
| CN113455964B (en) * | 2021-06-30 | 2023-07-21 | 青岛海尔科技有限公司 | Method and device for cleaning area, storage medium and electronic device |
| CN113647866A (en) * | 2021-08-03 | 2021-11-16 | 杭州华橙软件技术有限公司 | Cleaning method, cleaning device, storage medium, and electronic device |
| CN113925393A (en) * | 2021-10-21 | 2022-01-14 | 微思机器人(深圳)有限公司 | Intelligent cleaning method and device, sweeping robot and storage medium |
| CN114287832A (en) * | 2021-12-30 | 2022-04-08 | 安徽协创物联网技术有限公司 | Floor sweeping robot system |
| WO2024020882A1 (en) * | 2022-07-27 | 2024-02-01 | 云鲸智能(深圳)有限公司 | Cleaning robot control method and apparatus, cleaning method and system, and storage medium |
| CN116862178B (en) * | 2023-07-12 | 2024-06-14 | 广东易彻科技有限公司 | Intelligent environmental sanitation management method and system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102613944A (en) * | 2012-03-27 | 2012-08-01 | 复旦大学 | Dirt recognizing system of cleaning robot and cleaning method |
| CN103565366A (en) * | 2012-08-08 | 2014-02-12 | 夏普株式会社 | Cleaning robot and control method thereof |
| JP6409003B2 (en) * | 2013-01-18 | 2018-10-17 | アイロボット コーポレイション | Method using robot and computer-readable storage medium thereof |
| CN103984315A (en) * | 2014-05-15 | 2014-08-13 | 成都百威讯科技有限责任公司 | Domestic multifunctional intelligent robot |
| CN103970060A (en) * | 2014-05-27 | 2014-08-06 | 南京物联传感技术有限公司 | Network bearing tray |
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