CN115530673A - Intelligent dry land working system and method - Google Patents

Intelligent dry land working system and method Download PDF

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Publication number
CN115530673A
CN115530673A CN202110726519.8A CN202110726519A CN115530673A CN 115530673 A CN115530673 A CN 115530673A CN 202110726519 A CN202110726519 A CN 202110726519A CN 115530673 A CN115530673 A CN 115530673A
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China
Prior art keywords
ground
work
dry
target area
module
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CN202110726519.8A
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Chinese (zh)
Inventor
杨磊
姚晓奎
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Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
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Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
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Priority to CN202110726519.8A priority Critical patent/CN115530673A/en
Publication of CN115530673A publication Critical patent/CN115530673A/en
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    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47LDOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L11/00Machines for cleaning floors, carpets, furniture, walls, or wall coverings
    • A47L11/24Floor-sweeping machines, motor-driven
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47LDOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L11/00Machines for cleaning floors, carpets, furniture, walls, or wall coverings
    • A47L11/40Parts 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
    • A47L11/4061Steering means; Means for avoiding obstacles; Details related to the place where the driver is accommodated
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The invention relates to an intelligent dry land working system and a method thereof, wherein the intelligent dry land working system comprises a dry land machine; the ground drier comprises a sensor module, a ground drying processing module, a motor module and a first control module; the sensor module is used for detecting the position, the shape and the moving speed of a surrounding obstacle and detecting whether water exists on the ground or not; the dry land processing module is used for removing moisture on the ground; the motor module is used for driving the floor drier to move; the first control module is used for controlling the sensor module, the dry land processing module and the motor module, so that the dry land machine moves according to the planning of the working mode and performs dry land work, wherein the planning of the working mode comprises the steps of avoiding obstacles, detecting whether water exists on the ground or not and removing the water on the ground under the condition that the water exists. According to the invention, whether the ground is soaked is judged, dry land work is executed under the condition of soaking, and the dry land work is automatically moved to other areas, so that automatic intelligent dry land can be realized, and manpower and material resources are saved.

Description

Intelligent dry land working system and method
Technical Field
The invention relates to the technical field of intelligent life service and cleaning, in particular to an intelligent dry land work system and method.
Background
In daily life of people, when cleaning stains on the ground, people often use a wet mop, the wet ground is left after cleaning, and the ground needs to be wiped or dried in order to prevent pedestrians from slipping and/or causing the ground to be stained with the stains again when passing through the wet mop.
Along with the improvement of the living standard of people, various living electric appliances are more and more, the floor drier is a more convenient tool, and the floor drier is large-sized, portable, provided with wheels, fixed brackets and other types of floor driers, so that the labor of using the mop can be saved, and the living quality of people can be improved.
However, the existing floor drying machines need to be manually moved to a place needing drying, otherwise, the existing floor drying machines can only be used for a fixed area, and the existing floor drying machines need to be matched with related working personnel, so that the time and the energy are wasted.
Disclosure of Invention
The invention aims to provide an intelligent dry land work system and method, which are used for solving the problems and the defects in the prior art.
In a first aspect, an embodiment of the present invention provides an intelligent dry floor work system, including a dry floor machine;
the ground drier comprises a sensor module, a ground drying processing module, a motor module and a first control module;
the sensor module is used for detecting the position, the shape and the moving speed of a surrounding obstacle and detecting whether water exists on the ground or not;
the dry land processing module is used for removing moisture on the ground;
the motor module is used for driving the floor dryer to move;
the first control module is used for controlling the sensor module, the dry land processing module and the motor module, so that the dry land machine moves according to the planning of the working mode and performs dry land work, wherein the planning of the working mode comprises the steps of avoiding obstacles, detecting whether water exists on the ground or not and removing the water on the ground under the condition that the water exists.
Further, the device also comprises an induction monitoring unit;
the induction monitoring unit is arranged in a target area, comprises a camera device, a second control module and a second communication module, and is used for controlling the camera device to detect whether the target area is watered through the second control module and sending a working signal and working position information to the ground dryer through the second communication module under the condition that the target area is watered;
the floor drier also comprises a first communication module, wherein the first communication module is used for communicating with the induction monitoring unit and receiving working signals and working position information;
the first control module is further used for controlling the motor module to drive the floor drier to move to the target area to execute dry land work under the condition that the first communication module receives the working signal and the working position information.
Further, the sensor module comprises an ultrasonic sensor and a camera device;
the ultrasonic sensor is used for detecting the distance between the floor drier and surrounding obstacles;
the camera device is used for acquiring image information of the surrounding environment;
the first control module is further used for receiving the distance and the image information, and processing the image information by using an image recognition algorithm, so that the shape and the moving speed of the surrounding obstacles and the existence of water on the ground are obtained.
In a second aspect, the present invention provides a method for intelligent dry-land work, comprising:
performing dry ground work, the dry ground work including detecting whether there is water on the surrounding ground and removing moisture on the ground in the presence of water;
moves based on the map, the position, shape, and moving speed of the surrounding obstacle, and continues to perform the dry work.
Further, the method also comprises the following steps:
detecting whether the first target area has water or not, and sending a first working signal and working position information to the ground dryer under the condition that the water exists;
the ground dryer receives the first work signal and the work position information and moves to the first target area based on the first work position information to perform dry work until there is no water in the first target area.
Further, still include:
detecting whether a second target area has water, and sending a second working signal and working position information to the ground dryer under the condition that the second target area has water;
when the first working signal and the working position information and the second working signal and the working position information are received sequentially, the ground drier moves to the first target area and the second target area sequentially according to the receiving sequence to execute dry ground work;
and when a first working signal and working position information and a second working signal and working position information are received at the same time, sequentially moving the ground drier to a first target area and a second target area from near to far to execute dry ground work according to the distance between the ground drier and the first target area or the second target area which is judged based on the working position information.
Further, still include:
after performing dry work until there is no water in the first target area and/or the second target area, the dryer returns to a designated location.
Further, still include:
the motordryer automatically cruises in a designated area, scans and records ambient information, and thereby generates or updates the map.
In a third aspect, the present invention provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the intelligent dry-working method according to the first aspect when executing the program.
In a fourth aspect, the invention provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the intelligent dry-work method according to the first aspect.
According to the technical scheme, the intelligent dry land work system and the intelligent dry land work method provided by the invention have the advantages that the dry land work is executed under the condition that the ground is soaked by judging whether the ground is soaked, and the dry land work system and the method are automatically moved to other areas, so that the automatic intelligent dry land can be realized, the labor is saved, the consumption of resources such as electric power and the like is reduced, and the influence on user activities in the areas is reduced.
Drawings
FIG. 1 is a schematic block diagram of an intelligent dry-land working system according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an intelligent dry-work system according to another embodiment of the present invention;
FIG. 3 is a flow chart of a method of intelligent dry-work according to an embodiment of the invention;
FIG. 4 is a schematic structural diagram of an intelligent dry-work system according to yet another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, with the progress and development of scientific technology, some related technologies provide help for further humanization of the intelligent floor drier. For example, the development of an intelligent sensor enables the floor drier to effectively detect whether the surrounding ground has wet water or not and navigate to a position needing to work by the floor drier; the development of wireless transmission technologies such as Bluetooth and WIFI enables position information data needing to work to be effectively transmitted; the progress and development of the intelligent camera can more accurately confirm whether a person exists; the development of image recognition technology makes it possible to accurately recognize surroundings, such as the position and moving speed of obstacles, the real-time condition of the floor, and the degree of soil accumulation.
The system can help the traditional dryer to be more intelligent, can automatically navigate to a place needing drying by drawing along with other modules, and automatically returns to a fixed position after work is finished. The current floor drier can intelligently cruise to check whether water exists on the ground or not to clean the ground, only the working mode consumes resources relatively, generally speaking, the situation that water exists on the ground is not too much, if the floor drier cruises all the time, normal life is influenced for a user, electricity is consumed, the resources are consumed, but for the application, the floor drier can monitor the ground in a home in real time, if a certain place needs, the floor drier can automatically navigate to a specified position to work, and the floor drier returns to the fixed position after the work is finished. Therefore, for the user, resources are not consumed, and the normal life is not influenced.
Fig. 1 is a schematic structural diagram of an intelligent dry land work system according to an embodiment of the present invention, and referring to fig. 1, the intelligent dry land work system provided by the embodiment of the present invention includes a dry land machine; the intelligent dry land work system comprises a dry land machine, wherein the dry land machine is an intelligent dry land machine capable of moving according to navigation and has a basic dry land function.
The dryer includes a sensor module 110, a dry floor processing module 120, a motor module 130, and a first control module 140;
the sensor module 110 is used to detect the position, shape and moving speed of the surrounding obstacles, and whether there is water on the ground;
the body of the floor drier is internally provided with a sensor for realizing autonomous navigation, particularly, the sensor can comprise an ultrasonic detection device, the ultrasonic detection device transmits ultrasonic waves and receives the transmitted waves of a detected object, the distance between the ultrasonic detection device and the detected object is obtained by measuring the time difference after receiving echoes, the ultrasonic detection device is a non-contact measuring instrument, and the distance between the ultrasonic detection device and surrounding obstacles can be detected in real time by matching with a corresponding temperature sensor and an algorithm. The body is also equipped with an intelligent camera which is provided with a corresponding image recognition algorithm and is used for judging whether water exists on the ground or not, and optionally, the intelligent camera can also be used for accurately judging the position and the moving speed of surrounding obstacles, such as the position and the moving speed of people or furniture, so that the floor drier can avoid the obstacles. In the embodiment, the floor drier acquires distance information and image information of surrounding obstacles through the ultrasonic detection device and the camera device, and acquires the positions, shapes and moving speeds of the surrounding obstacles by using an image recognition and deep learning algorithm; judging whether the machine needs to be suspended on a traveling path or not based on the position, shape and moving speed of the machine and the position, shape and moving speed of surrounding obstacles, turning around the obstacles or giving an alarm sound and the like, wherein the shape of the machine can be stored in a control module as known parameters, and the position and moving speed of the machine can be acquired through the feedback of a motor module, a map stored in the control module, an indoor positioning technology realized based on Bluetooth communication and the like; the method comprises the steps of utilizing an autonomous navigation algorithm based on image recognition and a deep learning algorithm to adopt various algorithms which are available or may appear in the future, for example adopting SegNet and PoseNet algorithms, and taking an application scene of a dryer as a training data set to obtain a corresponding algorithm capable of realizing autonomous navigation in the application scene of the dryer.
The dry land processing module 120 is used to remove moisture on the ground;
the dry function can be achieved by a principle similar to a hair dryer, by hot air to carry away the moisture on the floor, thereby achieving a dry floor, or by accelerated evaporation of the moisture by over-radiated heat release, or by using a mopping floor equipped with a linkage and a moving shaft to mop the floor in a manner similar to a dry mop. The dry floor function should be implemented to have a suitable volume and weight so that the machine can move freely, especially in the environment of daily life where obstacles exist.
The motor module 130 is used for driving the floor dryer to move;
the movement can be realized by driving various wheels or tracks and the like through a motor, the movement such as forward movement, backward movement, steering and the like can be completed, and even a slope or stairs with a certain height can be climbed, so that the floor dryer can be moved to a target position.
The first control module 140 is used to control the sensor module 110, the dry land processing module 120, and the motor module 130 to move the dry land machine according to a plan of an operation mode and perform dry land operation, wherein the plan of the operation mode includes avoiding an obstacle, detecting whether water is on the ground, and removing moisture on the ground if water is on the ground.
The body is also provided with a control unit, for example comprising a main CPU, which can realize the control of the working mode including the dry land function and the like.
Fig. 2 is a schematic structural diagram of an intelligent dry land working system according to another embodiment of the present invention, and referring to fig. 2, the intelligent dry land working system according to the embodiment of the present invention further includes an induction monitoring unit;
the induction monitoring unit is installed in a target area, and comprises a camera device 160, a second control module 170 and a second communication module 180, and is used for controlling the camera device 160 to detect whether water exists in the target area through the second control module 170, and sending a working signal and working position information to the dryer through the second communication module 180 under the condition that water exists;
the floor dryer further comprises a first communication module 150, wherein the first communication module 150 is used for communicating with the induction monitoring unit and receiving the working signal and the working position information.
The machine body is also provided with a communication module for receiving working signals and positions needing working, and particularly, the communication module can adopt a communication technology which can meet the short-distance communication in a home environment, such as a Bluetooth communication technology.
The intelligent dry land work system further comprises a plurality of independent sensing monitoring units, wherein the sensing monitoring units are used for monitoring whether water exists in a target area or not and whether the target area is wet or not, and then sending work starting information to the dry land machine, so that the dry land machine moves to the target area to start dry land work. The induction monitoring unit comprises a camera, and can detect environmental information in a target area, such as whether water exists or not and whether people exist or not, so that information is provided for specific decisions, such as automatically enabling the floor drier to work in front under the condition that no people exist, and inquiring whether people need to enable the floor drier to work in front through a man-machine interaction interface under the condition that people exist. The inductive monitoring unit also includes a communication module for transmitting the operational signals and the location of the desired operation, for example directly to a dryer. The inductive monitoring unit also includes an analysis and decision unit, such as a CPU.
The working modes of the intelligent dry land working system are divided into two types: a self-sensing mode and a cruise mode. The floor drier can automatically judge whether water exists or not and inform the floor drier, can automatically reach an area needing to work according to the map information stored by the floor drier and the calculated distance, and can automatically return after the work is finished. The dryer can be switched between different modes.
Fig. 3 is a flowchart of an intelligent dry land working method according to an embodiment of the present invention, and with reference to fig. 3, the intelligent dry land working method provided by the embodiment of the present invention includes:
step 310, performing dry land work, which includes detecting whether water is present on the surrounding ground and removing water from the ground in the presence of water
And step 320, moving based on the map, the position, the shape and the moving speed of the surrounding obstacles, and continuing to perform dry work.
The cruise mode is triggered by a user key, and the cruise mode is required to follow wet ground to dry ground according to the needs of the user, for example, the cruise mode is required to follow dry ground in a mopping process.
The specific workflow of the cruise mode comprises the following steps:
a user switches the working mode of the floor dryer to a cruising following mode through a man-machine interaction interface;
when a user drags the floor or the floor has more wet water, the floor drier can be placed at a specified position, and then the cruise mode is started;
when a user drags the floor in front, the floor drier judges whether water exists or not by using the camera of the floor drier, and then works.
Fig. 4 is a schematic structural diagram of an intelligent dry floor working system according to another embodiment of the present invention, and referring to fig. 4, the intelligent dry floor working system according to another embodiment of the present invention includes a first sensing and monitoring unit 410, a dry floor machine 420, and a second sensing and monitoring unit 430. In the embodiment of the present invention, it should be noted that the number of the sensing monitoring units is not limited to two, and may be three or more, and the number of the sensing monitoring units is set according to a specific application scenario.
The intelligent dry land working method provided by the embodiment of the invention comprises the following steps:
the first sensing monitoring unit 410 detects whether the first target area has water, and sends a first working signal and working position information to the floor dryer 420 under the condition that the first target area has water;
the second sensing and monitoring unit 430 detects whether water exists in the second target area, and sends a second working signal and working position information to the floor dryer 420 under the condition that water exists;
when the first working signal and the working position information and the second working signal and the working position information are received sequentially, the ground drier 420 moves to the first target area and the second target area sequentially according to the receiving sequence to execute dry ground work;
and when the first working signal and the working position information and the second working signal and the working position information are received at the same time, the ground drier 420 is moved to the first target area and the second target area from near to far in sequence according to the distance between the ground drier 420 and the first target area or the second target area which is judged based on the working position information to execute dry ground work.
The self-induction mode is that the induction monitoring unit monitors whether water exists on the surrounding ground in real time and whether the ground needs to be dried, if so, a signal and a position are sent to the floor drier, the floor drier reaches an appointed position according to navigation to work, and the floor drier returns to the original position after the work is finished.
The specific work flow of the self-induction mode comprises the following steps:
first, a user installs an induction monitoring unit in each area of a home to be detected. Such as a bathroom, kitchen, living room, etc. The method comprises the steps that a floor drier which is subjected to initial cruising is placed at a fixed position, the fixed position can be used for charging the floor drier, the distance from the floor drier to each detection point is calculated by the floor drier or a cloud center and stored for later use (if the later position of the detection point is changed, the distance is updated), and the floor drier is in an automatic induction mode when the floor drier is electrified;
when the sensing monitoring unit detects that water stains exist on partial ground or all ground of a target area and a floor drier is required to work, a working signal is sent to the floor drier, for example, when the monitoring unit of a kitchen detects that water exists on the floor of the kitchen through a camera, a signal required to dry the floor is sent to the floor drier through signal broadcasting of a Bluetooth module;
after receiving the signal, the Bluetooth module of the floor drier provides the signal to the CPU, and the CPU starts processing to control the floor drier to move to a corresponding position. In the navigation process, the map stored in the ground drier is taken as the main part, and the ultrasonic obstacle avoidance module assists to achieve the purpose of navigating to the corresponding position;
after the floor drier finishes working, returning to the original position according to the original path;
where if multiple zones detect the presence of water, the dryer will preferentially treat the near zone.
The working mode further comprises a precondition, when a user uses the floor drier for the first time, the floor drier needs to automatically cruise for one circle at home, the floor drier can record the house type and the position of the whole house, model a house type graph at home and record data for later use.
When the work signal is received, the work flow inside the floor drier is as follows:
the Bluetooth module receives broadcast signals (including signals needing to work and position information needing to be navigated in the broadcast), the Bluetooth module transmits the information to the main control unit, and the main control unit processes the information and then calls a map and issues a moving command to the motor module and the ultrasonic module.
The main control unit calculates the travel distance and the travel direction according to the map and the surrounding environment information detected by the ultrasonic module, so that the motor module is controlled to enable the floor drier to avoid the obstacle and move according to navigation.
And when the mobile terminal moves to a corresponding position, the main control unit issues a command to the dry land processing unit module to work.
After the work is finished, the main control unit issues a command to the motor module, and the main control unit assists to control the motor module to enable the floor drier to return to the original position according to the map and the ultrasonic obstacle avoidance module.
The system and the method are mainly combined with the increasingly developed intelligent sensor and AI technology at present, and whether the ground is soaked is accurately judged, so that the floor drier is informed of automatically navigating to a corresponding position, and after the work is finished, the original position is returned, the floor drier can be moved as required, and the state that the floor drier is not static is not required. The resource waste is greatly reduced, and the convenience and high quality of the life of the user are ensured.
Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a Processor (Processor) 510, a communication Interface (Communications Interface) 520, a Memory (Memory) 530 and a communication bus 540, wherein the Processor 510, the communication Interface 520 and the Memory 530 communicate with each other via the communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform an intelligent dry-working method comprising: performing dry ground work, the dry ground work including detecting whether there is water on the surrounding ground and removing moisture on the ground in the presence of water; moves based on the map, the position, shape, and moving speed of the surrounding obstacle, and continues to perform the dry work.
Furthermore, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a device or devices to perform 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.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the intelligent dry-work method provided by the above methods, the method comprising: performing dry ground work, the dry ground work including detecting whether there is water on the surrounding ground and removing moisture on the ground in the presence of water; moves based on the map, the position, shape, and moving speed of the surrounding obstacle, and continues to perform the dry work.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program that when executed by a processor is implemented to perform the intelligent dry-work method provided above, the method comprising: performing dry ground work, the dry ground work including detecting whether there is water on the surrounding ground and removing moisture on the ground in the presence of water; moves based on the map, the position, shape, and moving speed of the surrounding obstacle, and continues to perform the dry work.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. An intelligent dry land work system is characterized by comprising a dry land machine;
the ground drier comprises a sensor module, a ground drying processing module, a motor module and a first control module;
the sensor module is used for detecting the position, the shape and the moving speed of a surrounding obstacle and detecting whether water exists on the ground or not;
the dry land processing module is used for removing moisture on the ground;
the motor module is used for driving the floor dryer to move;
the first control module is used for controlling the sensor module, the dry land processing module and the motor module, so that the dry land machine moves according to the planning of the working mode and performs dry land work, wherein the planning of the working mode comprises the steps of avoiding obstacles, detecting whether water exists on the ground or not and removing the water on the ground under the condition that the water exists.
2. The intelligent dry land work system of claim 1, further comprising an induction monitoring unit;
the induction monitoring unit is arranged in a target area, comprises a camera device, a second control module and a second communication module, and is used for controlling the camera device to detect whether the target area is watered through the second control module and sending a working signal and working position information to the ground dryer through the second communication module under the condition that the target area is watered;
the floor drier also comprises a first communication module, wherein the first communication module is used for communicating with the induction monitoring unit and receiving working signals and working position information;
the first control module is further used for controlling the motor module to drive the floor drier to move to the target area to execute dry land work under the condition that the first communication module receives the working signal and the working position information.
3. The intelligent dry work system of claim 1, wherein the sensor module comprises an ultrasonic sensor and a camera;
the ultrasonic sensor is used for detecting the distance between the floor drier and surrounding obstacles;
the camera device is used for acquiring image information of the surrounding environment;
the first control module is further used for receiving the distance and the image information, and processing the image information by using an image recognition algorithm, so that the shape and the moving speed of the surrounding obstacles and the existence of water on the ground are obtained.
4. An intelligent dry-land working method, comprising:
performing dry ground work, the dry ground work including detecting whether there is water on the surrounding ground and removing moisture on the ground in the presence of water;
moves based on the map, the position, shape, and moving speed of the surrounding obstacle, and continues to perform the dry work.
5. The intelligent dry work method of claim 4, further comprising:
detecting whether the first target area has water or not, and sending a first working signal and working position information to the ground dryer under the condition that the water exists;
the ground dryer receives the first work signal and the work position information and moves to the first target area based on the first work position information to perform dry work until there is no water in the first target area.
6. The intelligent dry-work method of claim 5, further comprising:
detecting whether a second target area has water, and sending a second working signal and working position information to the ground dryer under the condition that the second target area has water;
when the receiving sequence of the first working signal and the working position information and the receiving sequence of the second working signal and the working position information exist, the ground drier moves to the first target area and the second target area in sequence according to the receiving sequence to execute dry ground work;
and when a first working signal and working position information and a second working signal and working position information are received at the same time, sequentially moving the ground drier to a first target area and a second target area from near to far to execute dry ground work according to the distance between the ground drier and the first target area or the second target area which is judged based on the working position information.
7. The intelligent dry work method of claim 6, further comprising:
after performing dry work until there is no water in the first target area and/or the second target area, the dryer returns to a designated location.
8. The intelligent dry-work method of claim 4, further comprising:
the motordryer automatically cruises in a designated area, scans and records ambient information, and thereby generates or updates the map.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the intelligent dry-work method according to any one of claims 4 to 8 are implemented when the processor executes the program.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the intelligent dry-work method according to any one of claims 4 to 8.
CN202110726519.8A 2021-06-29 2021-06-29 Intelligent dry land working system and method Pending CN115530673A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103271699A (en) * 2013-05-29 2013-09-04 东北师范大学 Smart home cleaning robot
CN105744218A (en) * 2014-12-11 2016-07-06 小米科技有限责任公司 Garbage cleaning method and apparatus
CN206700118U (en) * 2016-12-14 2017-12-05 包灵芳 A kind of Intelligent robot for sweeping floor with drying function
CN108852182A (en) * 2018-07-04 2018-11-23 马书翠 A kind of sweeping robot intelligent barrier avoiding method
CN208942020U (en) * 2018-06-20 2019-06-07 深圳芯启迪科技有限公司 A kind of solar energy automatic sweeping machine device people
CN110313872A (en) * 2019-05-05 2019-10-11 胡敏超 A kind of method and device of Ground Connection in Intelligent Building automated cleaning
CN111345742A (en) * 2018-12-21 2020-06-30 苏州宝时得电动工具有限公司 Cleaning robot and control method
CN211355231U (en) * 2019-11-28 2020-08-28 永康市麦吉达工具制造有限公司 Sweeper with drying function

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103271699A (en) * 2013-05-29 2013-09-04 东北师范大学 Smart home cleaning robot
CN105744218A (en) * 2014-12-11 2016-07-06 小米科技有限责任公司 Garbage cleaning method and apparatus
CN206700118U (en) * 2016-12-14 2017-12-05 包灵芳 A kind of Intelligent robot for sweeping floor with drying function
CN208942020U (en) * 2018-06-20 2019-06-07 深圳芯启迪科技有限公司 A kind of solar energy automatic sweeping machine device people
CN108852182A (en) * 2018-07-04 2018-11-23 马书翠 A kind of sweeping robot intelligent barrier avoiding method
CN111345742A (en) * 2018-12-21 2020-06-30 苏州宝时得电动工具有限公司 Cleaning robot and control method
CN110313872A (en) * 2019-05-05 2019-10-11 胡敏超 A kind of method and device of Ground Connection in Intelligent Building automated cleaning
CN211355231U (en) * 2019-11-28 2020-08-28 永康市麦吉达工具制造有限公司 Sweeper with drying function

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