CN114831554B

CN114831554B - Water seepage detection method, device, robot, system and storage medium

Info

Publication number: CN114831554B
Application number: CN202210614378.5A
Authority: CN
Inventors: 黄荣伟; 李绍斌; 宋德超; 张巧玲; 潘晓飞
Original assignee: Gree Electric Appliances Inc of Zhuhai; Zhuhai Lianyun Technology Co Ltd
Current assignee: Gree Electric Appliances Inc of Zhuhai; Zhuhai Lianyun Technology Co Ltd
Priority date: 2022-05-31
Filing date: 2022-05-31
Publication date: 2023-03-14
Anticipated expiration: 2042-05-31
Also published as: CN114831554A

Abstract

The embodiment of the invention relates to a water seepage detection method, a water seepage detection device, a robot, a water seepage detection system and a storage medium, wherein the method comprises the following steps: detecting the water amount in a dust collection box of the robot through a water amount sensor in the process of cleaning a working area by the robot, wherein the water amount sensor is arranged in the dust collection box; and determining the water seepage state of the operation area according to the water amount in the dust collection box. Therefore, the robot can detect the water seepage state of the operation area while cleaning the operation area, and therefore whether the water seepage occurs on the ground can be detected in time.

Description

Water seepage detection method, device, robot, system and storage medium

Technical Field

The embodiment of the invention relates to the technical field of smart home, in particular to a water seepage detection method, a water seepage detection device, a water seepage detection robot, a water seepage detection system and a storage medium.

Background

The floor sweeping robot, also known as an automatic sweeper, intelligent dust collection, a robot cleaner and the like, is one of intelligent household appliances, and can automatically clean areas to be cleaned, such as living rooms, bedrooms and the like.

In the prior art, the main function of the sweeping robot is to sweep the ground, however, in real life, water seepage may occur on the ground due to various reasons, such as not closing the window during rain, water entering the window during rain, forgetting to turn off the water faucet manually, or a water pipe being in a fault.

When the ground surface has the infiltration, if can not discover in time and handle, probably lead to the ground surface to appear a large amount of ponding to bring the loss for the user. Therefore, a technical scheme capable of timely detecting whether water seepage occurs on the ground is urgently needed.

Disclosure of Invention

In view of this, in order to detect whether water seepage occurs on the ground in time, embodiments of the present invention provide a water seepage detection method, apparatus, robot, system, and storage medium.

In a first aspect, an embodiment of the present invention provides a water seepage detection method, including:

detecting the water amount in a dust collection box of the robot through a water amount sensor in the process of cleaning a working area by the robot, wherein the water amount sensor is arranged in the dust collection box;

and determining the water seepage state of the operation area according to the water amount in the dust collection box.

In one possible embodiment, the determining of the water seepage state of the working area according to the amount of water in the dust box includes:

comparing the water amount in the dust collection box with a set water amount threshold value;

if the water quantity in the dust collection box does not exceed the water quantity threshold value through comparison, determining that the water seepage state of the operation area is that water seepage does not occur;

or if the water quantity in the dust collection box exceeds the water quantity threshold value by comparison, determining that the water seepage state of the operation area is water seepage.

In one possible embodiment, before the determining that the water seepage state of the working area is water seepage, the method further comprises:

acquiring a real-time image of the operation area;

identifying the real-time image to obtain an identification result corresponding to the real-time image;

and when the identification result represents that the real-time image comprises water seepage, executing the step of determining that the water seepage state of the operation area is water seepage.

In one possible embodiment, before the robot performs a cleaning operation on the work area, the method further comprises:

acquiring current weather information;

and determining a cleaning route of the robot according to the weather information so as to perform the step of cleaning operation of the robot on a working area based on the cleaning route.

In one possible embodiment, the determining the cleaning route of the robot according to the weather information includes:

if the weather information is rainy, determining a preset first route as a cleaning route of the robot, wherein the first route is used for indicating the robot to clean a water seepage area in the operation area;

and if the weather information is in a non-rainy day, determining a preset second route as the cleaning route of the robot, wherein the second route is used for indicating the robot to clean the operation area.

In one possible embodiment, the robot performs a cleaning operation on a work area, comprising:

if the weather information is rainy, the robot performs cleaning operation on an operation area based on the first route;

and if the weather information is in non-rainy days, the robot performs cleaning operation on an operation area based on the second route when preset cleaning time is up.

In one possible embodiment, the method further comprises:

and when the water seepage state of the operation area is determined to be water seepage, sending alarm information for indicating the water seepage of the operation area and a real-time image of the operation area to a client.

In a second aspect, an embodiment of the present invention provides a water seepage detection apparatus, where the apparatus includes:

the robot cleaning system comprises a detection module, a cleaning module and a control module, wherein the detection module is used for detecting the water amount in a dust collection box of the robot through a water amount sensor in the process that the robot cleans a working area, and the water amount sensor is arranged in the dust collection box;

and the determining module is used for determining the water seepage state of the operation area according to the water amount in the dust collection box.

In a possible implementation, the determining module is specifically configured to:

if the water quantity in the dust collection box does not exceed the water quantity threshold value by comparison, determining that the water seepage state of the operation area is that water seepage does not occur;

In one possible embodiment, the apparatus further comprises:

the first acquisition module is used for acquiring a real-time image of the operation area under the condition that the comparison result shows that the water quantity in the dust collection box exceeds the water quantity threshold value;

the identification module is used for identifying the real-time image to obtain an identification result corresponding to the real-time image;

and the first execution module is used for executing the step of determining the water seepage state of the operation area as the water seepage occurrence when the identification result represents that the real-time image comprises water seepage.

In one possible embodiment, the apparatus further comprises:

the second acquisition module is used for acquiring current weather information before the robot performs cleaning operation on a working area;

and the second execution module is used for determining a cleaning route of the robot according to the weather information so as to execute the step of cleaning operation of the robot on a working area based on the cleaning route.

In a possible implementation manner, the second execution module is specifically configured to:

and if the weather information is in non-rainy days, determining a preset second route as a cleaning route of the robot, wherein the second route is used for indicating the robot to clean the operation area.

In a possible implementation, the detection module is specifically configured to:

and if the weather information is in a non-rainy day, the robot performs cleaning operation on an operation area based on the second route when preset cleaning time is up.

In one possible embodiment, the apparatus further comprises:

and the sending module is used for sending alarm information for indicating that the water seepage occurs in the operation area and a real-time image of the operation area to the client when the water seepage state of the operation area is determined to be the water seepage.

In a third aspect, an embodiment of the present invention provides a robot, including: the cleaning device comprises a cleaning component, a water quantity sensor, a dust collecting box, a processor and a memory;

the water quantity sensor is arranged in the dust collection box and used for detecting the water quantity in the dust collection box in the process that the robot cleans the working area by using the cleaning component;

the processor is configured to execute the water seepage detection program stored in the memory, so as to implement the water seepage detection method according to any one of the first aspects.

In a fourth aspect, an embodiment of the present invention provides a server, including: the water seepage detection method comprises a processor and a memory, wherein the processor is used for executing a water seepage detection program stored in the memory so as to realize the water seepage detection method in any one of the first aspect.

In a fifth aspect, an embodiment of the present invention provides a water seepage detection system, including: a robot, a server, and a client;

the robot detects the water amount in a dust collection box of the robot through a water amount sensor in the process of cleaning a working area, the water amount sensor is arranged in the dust collection box, and the water amount in the dust collection box is compared with a set water amount threshold value; if the water quantity in the dust collection box exceeds the water quantity threshold value through comparison, acquiring a real-time image of the operation area, and sending the real-time image to the server;

the server is used for identifying the real-time image to obtain an identification result corresponding to the real-time image; when the identification result represents that the real-time image contains water, sending alarm information for indicating that water seepage occurs in the operation area and the real-time image of the operation area to the client;

and the client outputs the warning information and the real-time image of the operation area.

In a sixth aspect, an embodiment of the present invention provides a storage medium, including: the water seepage detection method comprises a processor and a memory, wherein the processor is used for executing a water seepage detection program stored in the memory so as to realize the water seepage detection method in any one of the first aspect.

According to the technical scheme provided by the embodiment of the invention, in the process of cleaning the operation area by the robot, the water quantity in the dust collection box of the robot is detected by the water quantity sensor, the water quantity sensor is arranged in the dust collection box, and then the water seepage state of the operation area is determined according to the water quantity in the dust collection box. In the technical scheme, the water quantity in the dust collecting box of the robot can be directly detected through the built-in water quantity sensor in the dust collecting box of the robot, and the water seepage state of the operation area can be directly judged through the water quantity, so that the water seepage state of the operation area can be detected while the robot cleans the operation area, and whether the water seepage occurs on the ground can be timely detected.

Drawings

Fig. 1 is a schematic diagram of a water seepage detection system according to an embodiment of the present invention;

fig. 2 is a flowchart of an embodiment of a water seepage detection method according to an embodiment of the present invention;

fig. 3 is a flowchart illustrating another example of a water seepage detection method according to an embodiment of the present invention;

fig. 4 is a flowchart illustrating another water seepage detection method according to an embodiment of the present invention;

FIG. 5 is a flowchart illustrating another method for detecting water seepage according to an embodiment of the present invention;

fig. 6 is a block diagram of an embodiment of a water seepage detection apparatus according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a robot according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of a server 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.

Fig. 1 is a schematic structural diagram of a water seepage detection system according to an embodiment of the present invention.

The water seepage detection system shown in fig. 1 includes: a client 101, a server 102, and a robot 103. The client 101, the server 102, and the robot 103 are connected through network communication.

The client 101 may be a hardware device or software that supports network connectivity to provide various network services. When the client 101 is hardware, it may support various electronic devices with display screens, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, etc., and fig. 1 only exemplifies a smart phone. When the client 101 is software, it can be installed in the electronic devices listed above. In an embodiment of the present invention, the client 101 may establish communication with the server 102 and the robot 103 by installing corresponding applications.

The server 102 may be implemented by using one server, or may be implemented by using a server cluster formed by multiple servers, which is not limited in this embodiment of the present invention.

Robot 103 may be a sweeping robot. In an embodiment of the present invention, the robot 103 may include therein a cleaning assembly, a water level sensor, a dust collection cartridge, a processor, and a memory. The water amount sensor is disposed inside the dust box, and is used for detecting the amount of water in the dust box in the process that the robot 103 performs cleaning operation on the working area by using the cleaning component. The processor may be configured to execute the water seepage detection program stored in the memory according to the embodiment of the present invention, so as to implement the water seepage detection method according to the embodiment of the present invention.

In an embodiment, the robot 103 may determine a water seepage state of the working area by using the water seepage detection method provided by the embodiment of the present invention during the cleaning operation of the working area. The water seepage state here includes: water seepage occurred and did not occur. As to how the robot 103 determines the water seepage state of the working area by using the water seepage detection method provided by the embodiment of the present invention, reference may be made to the following description in the flowchart of the embodiment, and no detailed description is given here.

In another embodiment, the robot 103 may cooperate with the server 102 during the cleaning operation performed on the working area, and the server 102 determines the water seepage state of the working area by using the water seepage detection method provided by the embodiment of the present invention. As to how the robot 103 and the server 102 cooperate, the server 102 determines the water seepage state of the working area by applying the water seepage detection method provided by the embodiment of the present invention, which is described in the flowchart of the following embodiment and will not be described in detail herein.

In an embodiment, the robot 103 may send warning information indicating that water seepage occurs in the work area to the client 101 when it is determined that the water seepage state of the work area is water seepage occurrence, or the server 102 determines that the water seepage state of the work area is water seepage occurrence.

The water seepage detection method provided by the present invention is further explained with reference to the accompanying drawings by specific embodiments, which are not intended to limit the embodiments of the present invention.

Referring to fig. 2, a flowchart of an embodiment of a water seepage detection method according to an embodiment of the present invention is shown. As shown in fig. 2, the process may include the following steps:

step 201, in the process of cleaning the operation area by the robot, detecting the water amount in the dust collection box of the robot by a water amount sensor, wherein the water amount sensor is arranged in the dust collection box.

In one embodiment, the work area may refer to a living scene (e.g., bedroom, kitchen, bathroom, etc.) or a working scene (e.g., office) of the user.

In one embodiment, the execution subject of the present invention may be a robot, such as robot 103 shown in FIG. 1. In this embodiment, the robot 103 may detect the amount of water in the dust box through a water amount sensor provided inside the dust box during the cleaning operation of the working area.

In another embodiment, the execution subject of the invention may be a server, such as server 102 illustrated in FIG. 1. In this embodiment, during the cleaning operation of the working area by the robot 103, the server 102 may control a water amount sensor inside a dust box of the robot 103 to detect the amount of water in the dust box of the robot and transmit the detected amount of water to the server 102. In this way, the server 102 can detect the amount of water in the dust box of the robot 103 by the water amount sensor while the robot 103 performs the cleaning operation on the work area.

Step 202, determining the water seepage state of the operation area according to the water amount in the dust collection box.

In one embodiment, the execution body of the embodiment of the invention can compare the water amount in the dust collection box with a set water amount threshold value, and then determine the water seepage state of the operation area according to the comparison result. Here, the water amount threshold may be 0 or more than 0.

Specifically, if the comparison shows that the water amount in the dust collecting box does not exceed the water amount threshold, the water seepage state of the operation area can be determined as no water seepage.

On the contrary, if the comparison shows that the water amount in the dust collecting box exceeds the water amount threshold, the water seepage state of the operation area can be determined as water seepage.

According to the technical scheme provided by the embodiment of the invention, in the process of cleaning the operation area by the robot, the water quantity in the dust collection box of the robot is detected by the water quantity sensor, the water quantity sensor is arranged in the dust collection box, and then the water seepage state of the operation area is determined according to the water quantity in the dust collection box. In the technical scheme, the water quantity in the dust collecting box of the robot can be directly detected through the water quantity sensor arranged in the dust collecting box of the robot, and the water seepage state of the operation area can be directly judged through the water quantity, so that the water seepage state of the operation area can be detected when the robot cleans the operation area, and the purpose of timely detecting whether water seepage occurs on the ground is achieved.

Referring to fig. 3, a flowchart of another water seepage detection method according to an embodiment of the present invention is provided. As shown in fig. 3, the process may include the following steps:

step 301, detecting the water amount in the dust collection box of the robot by the water amount sensor in the process of cleaning the working area by the robot.

Step 302, comparing the water amount in the dust collection box with a set water amount threshold value, and if the water amount in the dust collection box does not exceed the water amount threshold value, executing step 303; if the comparison shows that the water amount in the dust box exceeds the water amount threshold, step 304 is executed.

And step 303, determining that the water seepage state of the operation area is that water seepage does not occur.

For detailed descriptions of step 301 to step 303, reference may be made to the descriptions of step 201 and step 202, which are not described herein again.

Step 304, acquiring a real-time image of the working area.

In one embodiment, a camera may be built into the robot 103. Then when the robot 103 detects that the water amount in the dust box exceeds the water amount threshold, the built-in camera can be controlled to take a picture of the current area to be cleaned of the working area so as to acquire a real-time image of the current area to be cleaned of the working area. The current area to be cleaned is an area to be cleaned where the robot 103 is currently located.

In another embodiment, one or more cameras may be disposed in the work area, and the one or more cameras may be respectively in communication with the robot 103 through a network. Then, when the robot 103 detects that the amount of water in the dust box exceeds the water amount threshold, the one or more cameras can be controlled to take a picture of the working area and obtain an image taken by the one or more cameras, so as to obtain a real-time image of the working area.

As a possible embodiment, the robot 103 may control a camera corresponding to the current area to be cleaned to take a picture, so as to obtain a real-time image of the current area to be cleaned in the working area. Here, the camera corresponding to the current area to be cleaned refers to: can wait to clean the camera that the region was shot at present.

For example, it is assumed that the working area includes four areas to be cleaned, i.e., a, B, C, and D, and each area to be cleaned is provided with a camera. When the robot 103 performs cleaning operation on the area B to be cleaned, it is detected that the water amount in the dust box of the robot exceeds the water amount threshold, and at this time, the robot 103 may control the camera corresponding to the area B to be cleaned to directly photograph the area B to be cleaned, so as to obtain a real-time image of the current area to be cleaned in the working area.

As another possible implementation manner, when one camera is disposed in the working area, the robot may control the camera to adjust a shooting angle, so that a shooting viewing angle of the camera is aligned with the current area to be cleaned, so as to shoot the current area to be cleaned, and obtain a real-time image of the current area to be cleaned in the working area.

And 305, identifying the real-time image to obtain an identification result corresponding to the real-time image.

Step 306, judging whether the identification result represents that the real-time image comprises water seepage, and if yes, executing step 307; if not, go to step 303.

And 307, determining the water seepage state of the operation area as water seepage.

And 308, sending alarm information for indicating that water seepage occurs in the operation area and a real-time image of the operation area to the client.

The following describes steps 305 to 308 collectively:

in an embodiment, a pre-trained image recognition model may be stored in the robot 103, so that when the robot 103 acquires a real-time image of the working area, the real-time image may be recognized by the image recognition model to obtain a recognition result of the real-time image.

Furthermore, when the identification result represents that the real-time image comprises water seepage, the water seepage state in the operation area can be determined to be water seepage.

On the contrary, when the identification result indicates that the real-time image does not include water seepage, the operation area does not have water, and the water seepage state in the operation area can be determined to be that water seepage does not occur.

Optionally, when the robot 103 determines that the water seepage state of the operation area is water seepage, the robot may send warning information for indicating that the water seepage occurs in the operation area and a real-time image of the operation area to the client 101, so that the user may confirm the water seepage state of the operation area and take measures in time when the water seepage occurs in the operation area.

In another embodiment, the server 102 may store a pre-trained image recognition model. Then, when acquiring the real-time image of the work area, the robot 103 may upload the real-time image to the server 102, and when receiving the real-time image of the work area, the server 102 may identify the real-time image of the work area through the image identification model to obtain an identification result.

Furthermore, when the identification result represents that the real-time image comprises water seepage, the water seepage condition in the operation area can be determined to be water seepage.

On the contrary, when the identification result indicates that the real-time image does not include water seepage, the water seepage does not exist in the operation area, and at the moment, the water seepage state in the operation area can be determined to be that water seepage does not occur.

Optionally, when the server 102 determines that the water seepage state of the operation area is water seepage, the server may send warning information for indicating that the water seepage occurs in the operation area and a real-time image of the operation area to the client 101, so that the user may confirm the water seepage state of the operation area and take countermeasures in time when the water seepage occurs in the operation area.

In addition, when the identification result indicates that the real-time image does not include water seepage, the real-time image of the operation area can be sent to the client 101, so that a user can check the real-time image and further confirm whether the water seepage exists in the real-time image.

According to the technical scheme provided by the embodiment of the invention, in the process that the robot cleans the operation area, the water quantity in the dust collection box of the robot is detected through the water quantity sensor, when the water quantity in the dust collection box exceeds the preset water quantity threshold value, the real-time image of the operation area is further acquired, the water seepage state of the operation area is determined through the identification result of the real-time image, and the real-time image of the operation area is sent to the client when the water seepage state of the operation area is determined to be water seepage. In the technical scheme, the water quantity in the dust collecting box of the robot can be directly detected through the water quantity sensor arranged in the dust collecting box of the robot, and under the condition that the water quantity is larger than a preset water quantity threshold value, the water seepage state of the operation area is further judged through the identification result of the real-time image, so that the water seepage state of the operation area can be more accurately detected while the robot cleans the operation area, and warning information and the real-time image of the operation area are timely sent to the client side, and further the loss of a user is avoided.

Referring to fig. 4, a flowchart of another water seepage detection method according to an embodiment of the present invention is provided. As shown in fig. 4, the process may include the following steps:

and step 401, acquiring current weather information.

Step 402, judging whether the weather information is rainy or not, if so, executing step 403; if not, go to step 405.

And step 403, determining a preset first route as a cleaning route of the robot, wherein the first route is used for indicating the robot to clean a water seepage area of the operation area.

And step 404, the robot performs cleaning operation on the working area based on the first route.

And 405, determining a preset second route as a cleaning route of the robot, wherein the second route is used for instructing the robot to clean the working area.

And step 406, when the preset cleaning time is up, the robot performs cleaning operation on the working area based on the second route.

The following describes steps 401 to 406 collectively:

in one embodiment, in order to more accurately detect the water seepage state of the working area, different cleaning routes may be set for the robot 103: a first route and a second route. The first route may be used to instruct the robot 103 to clean a water seepage area in the working area. The second route may be used to instruct the robot 103 to clean the work area.

Specifically, the first route and the second route may be set for the robot 103 by: first, when the robot 103 is initialized, the working area can be automatically scanned by a built-in radar and camera. Such as the number of rooms in the work area, the size, and the position of an obstacle, and the like, after which the robot 103 may automatically generate a cleaning route (hereinafter, referred to as a second route for convenience of description).

Further, the robot 103 may upload the second route to the server 102. The server 102 sends the second route to the client 101. The user receives the second route through the client 101, confirms the second route, and marks a water seepage-prone area on the second route, such as a kitchen, a toilet, a window, and the like. Thereafter, the user uploads the marked route (hereinafter referred to as a first route for convenience of description) to the server 102, and the server 102 pushes the first route to the robot 103 for storage.

Based on this, the robot 103 may first determine a cleaning route to the work area before performing the cleaning operation on the work area.

In one embodiment, the robot 103 may obtain current weather information and determine a cleaning route of the robot 103 according to the weather information.

Optionally, when the robot 103 acquires the current weather information, a geographic position of the robot 103 may be acquired through a built-in GPS (Global Positioning System) or a beidou Positioning device, and the geographic position is sent to the server 102, and after receiving the geographic position sent by the robot 103, the server 102 obtains the current weather information corresponding to the geographic position by searching for real-time weather information around the country, and sends the current weather information to the robot 103.

Optionally, after receiving the current weather information, the robot 103 determines whether the weather information is rainy. If the weather information is rainy, the preset first route is determined as the cleaning route of the robot 103, and the operation of cleaning the working area can be immediately started based on the first route. So, whether the easy infiltration area in the detectable operation region takes place the infiltration when rainy weather in time.

Optionally, if the weather information is in a non-rainy day, the preset second route is determined as the cleaning route of the robot 103, and when the preset cleaning time is reached, the operation of cleaning the working area is performed based on the second route.

Step 407, detecting the water amount in the dust box of the robot by the water amount sensor in the process of cleaning the working area by the robot.

And step 408, determining the water seepage state of the operation area according to the water amount in the dust collection box.

The detailed description of step 407 and step 408 can refer to the description of step 201 and step 202, and is not repeated here.

According to the technical scheme provided by the embodiment of the invention, the current weather information is obtained before the robot cleans the working area, the preset first route is determined as the cleaning route of the robot when the weather information is rainy, and the cleaning operation is performed on the working area based on the first route; and when the weather information is non-rainy days, determining a preset second route as a cleaning route of the robot, and performing cleaning operation on the working area based on the second route. In the technical scheme, the cleaning route of the robot is determined according to the current weather information, when the weather information is rainy, the robot can clean the water seepage area of the operation area according to the first route, and whether water seepage occurs in the water seepage area of the operation area is rapidly detected when the weather information is rainy, so that the water seepage occurs in the water seepage area of the operation area in time when the operation area is cleaned by the robot in rainy days.

Referring to fig. 5, a flowchart of another water seepage detection method according to an embodiment of the present invention is shown. As shown in fig. 5, the process may include the following steps:

firstly, initializing the robot 103, automatically scanning a whole house (namely, a working area) through a built-in radar and a built-in camera in an initialization process, and marking a water seepage prone area such as a window and a toilet by a user, thereby formulating a first route and a second route, wherein the first route is used for instructing the robot 103 to clean the water seepage prone area in the working area, and the second route is used for instructing the robot 103 to clean the working area.

Then, the weather condition (i.e., weather information) is acquired in real time, and the cleaning route is determined according to the weather condition.

Specifically, whether the current weather is rainy or not is judged, if yes, the window is moved to a window side area to start scanning to detect whether water seepage occurs in the area or not, namely, the operation area is cleaned based on a first route; and if the current weather is not rainy, cleaning the whole house at regular time, namely, cleaning the operation area based on the second route.

Finally, in the process that the robot 103 cleans the working area, the water amount in the dust collection box is detected, and when the water amount is larger than a preset water amount threshold value, the camera is controlled to shoot and the shot real-time image is identified. When the identification result shows that the image includes water seepage, warning information is sent to the emergency contact, and the shot real-time image is sent to the client 101, where the camera may be a camera built in the robot or a camera in a camera device preset in the working area.

According to the technical scheme provided by the embodiment of the invention, the current weather information is acquired before the robot cleans the working area, the cleaning route is determined according to the weather information, then, the water quantity in the dust collection box is detected in the process of cleaning the working area, when the water quantity is larger than a preset water quantity threshold value, the working area is photographed and identified, when the identification result determines that the image contains water, the water seepage state of the working area is determined to be water seepage, and warning information and the photographed real-time image are sent. In the technical scheme, the cleaning route of the robot can be determined according to the current weather information, and when the water quantity in the dust collection box of the robot is determined to be larger than the preset water quantity threshold value in the process of cleaning the working area, the real-time image of the working area is further obtained, and the water seepage state of the working area is judged according to the identification result of the real-time image. The robot can more accurately and timely detect whether water seepage occurs in the operation area or not when cleaning the operation area, and timely sends alarm information to the client when the water seepage occurs in the operation area, so that a user can timely take corresponding measures, and further loss of the user is avoided.

Referring to fig. 6, a block diagram of an embodiment of a water seepage detection apparatus according to an embodiment of the present invention is shown.

As shown in fig. 6, the apparatus includes:

the cleaning device comprises a detection module 61, a cleaning module and a cleaning module, wherein the detection module is used for detecting the water amount in a dust collection box of the robot through a water amount sensor in the process that the robot cleans a working area, and the water amount sensor is arranged in the dust collection box;

a determination module 62 for determining a water seepage state of the working area according to the amount of water in the dust collecting box.

In a possible implementation, the determining module 62 is specifically configured to:

In a possible embodiment, the device further comprises (not shown in the figures):

and the first execution module is used for executing the step of determining that the water seepage state of the operation area is water seepage when the identification result represents that the real-time image comprises water seepage.

Referring to fig. 7, in order to provide a schematic structural diagram of a robot according to an embodiment of the present invention, a robot 700 shown in fig. 7 includes: a sweeping component 706, a dust bin 707, at least one processor 701, memory 702, at least one network interface 704, and a user interface 703. The various components in the robot 700 are coupled together by a bus system 705. It is understood that the bus system 705 is used to enable communications among the components. The bus system 705 includes a power bus, a control bus, and a status signal bus in addition to a data bus. But for clarity of illustration the various busses are labeled as the bus system 705 in figure 7.

A water amount sensor 7071 is arranged inside the dust box 707, and the water amount sensor 7071 is used for detecting the water amount in the dust box 707 during the cleaning operation of the robot 700 on the working area by the cleaning component 706.

The user interface 703 may include a display, a keyboard, or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen, etc.).

It is to be understood that the memory 702 in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), enhanced Synchronous SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 702 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

In some embodiments, memory 702 stores the following elements, executable units or data structures, or a subset thereof, or an expanded set thereof: an operating system 7021 and application programs 7022.

The operating system 7021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application 7022 includes various applications, such as a Media Player (Media Player), a Browser (Browser), and the like, for implementing various application services. Programs that implement methods in accordance with embodiments of the present invention can be included within application program 7022.

In the embodiment of the present invention, the processor 701 is configured to execute the method steps provided by the method embodiments by calling a program or an instruction stored in the memory 702, specifically, a program or an instruction stored in the application 7022, for example, and includes:

The method disclosed in the above embodiments of the present invention may be applied to the processor 701, or implemented by the processor 701. The processor 701 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 701. The Processor 701 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software elements in the decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, etc. as is well known in the art. The storage medium is located in the memory 702, and the processor 701 reads the information in the memory 702, and completes the steps of the method in combination with the hardware.

It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.

For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.

The robot provided in this embodiment may be the robot shown in fig. 7, and may perform all the steps of the water seepage detection method shown in fig. 2 to 5, so as to achieve the technical effects of the water seepage detection method shown in fig. 2 to 5, and for brevity, please refer to the related descriptions of fig. 2 to 5, which are not described herein again.

Referring to fig. 8, which is a schematic structural diagram of a server according to an embodiment of the present invention, a server 800 shown in fig. 8 includes: at least one processor 801, memory 802, at least one network interface 804, and a user interface 803. The various components in server 800 are coupled together by a bus system 805. It is understood that the bus system 805 is used to enable communications among the components connected. The bus system 805 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 805 in FIG. 8.

The user interface 803 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen).

It will be appreciated that the memory 802 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), enhanced Synchronous SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 802 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

In some embodiments, memory 802 stores the following elements, executable units or data structures, or a subset thereof, or an expanded set thereof: operating system 8021 and application programs 8022.

The operating system 8021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application program 8022 includes various application programs, such as a Media Player (Media Player), a Browser (Browser), and the like, for implementing various application services. A program implementing the method of an embodiment of the present invention may be included in application program 8022.

In the embodiment of the present invention, the processor 801 is configured to execute the method steps provided by each method embodiment by calling the program or instruction stored in the memory 802, specifically, the program or instruction stored in the application 8022, and for example, includes:

As for the connection mode and functions of each component in the server, please refer to the related description of fig. 7, which is not described herein again.

The server provided in this embodiment may be the server shown in fig. 8, and may perform all the steps of the water seepage detection method shown in fig. 2 to 5, so as to achieve the technical effects of the water seepage detection method shown in fig. 2 to 5, which is described with reference to fig. 2 to 5 for brevity and will not be described herein again.

The embodiment of the invention also provides a storage medium (computer readable storage medium). The storage medium herein stores one or more programs. Among others, storage media may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of the above kinds of memories.

When the one or more programs in the storage medium are executable by the one or more processors, the water seepage detection method executed on the robot side or the server side is realized.

Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the components and steps of the various examples have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. A water seepage detection method, comprising:

acquiring current weather information;

determining a cleaning route of the robot according to the weather information, comprising:

if the weather information is rainy, determining a preset first route as a cleaning route of the robot, wherein the first route is used for indicating the robot to clean a water seepage area in an operation area;

if the weather information is in non-rainy days, determining a preset second route as a cleaning route of the robot, wherein the second route is used for indicating the robot to clean the operation area;

detecting the amount of water in a dust collection box of the robot through a water amount sensor in the process that the robot performs cleaning operation on a working area based on the cleaning route, wherein the water amount sensor is arranged in the dust collection box;

2. The method as claimed in claim 1, wherein the determining of the water seepage state of the working area according to the amount of water in the dust box comprises:

3. The method of claim 2, wherein prior to the determining that the water infiltration status of the work area is water infiltration, the method further comprises:

acquiring a real-time image of the operation area;

4. The method of claim 1, wherein the robot performs a cleaning operation on a work area based on the cleaning route, comprising:

5. The method of claim 3, further comprising:

and when the water seepage state of the operation area is determined to be water seepage, sending alarm information for indicating that the water seepage occurs in the operation area and a real-time image of the operation area to a client.

6. A water seepage detection device, characterized in that the device comprises:

the acquisition module is used for acquiring current weather information;

the cleaning route determining module is used for determining the cleaning route of the robot according to the weather information, and comprises the following steps: if the weather information is rainy, determining a preset first route as a cleaning route of the robot, wherein the first route is used for indicating the robot to clean a water seepage area in an operation area; if the weather information is in a non-rainy day, determining a preset second route as a cleaning route of the robot, wherein the second route is used for indicating the robot to clean the operation area;

the robot cleaning system comprises a detection module, a cleaning module and a control module, wherein the detection module is used for detecting the water amount in a dust collection box of the robot through a water amount sensor in the process that the robot cleans a working area based on a cleaning route, and the water amount sensor is arranged in the dust collection box;

7. A robot, comprising: the cleaning device comprises a cleaning component, a water quantity sensor, a dust collecting box, a processor and a storage device;

the water quantity sensor is arranged in the dust collection box and used for detecting the water quantity in the dust collection box in the process that the robot performs cleaning operation on a working area based on a cleaning route by using the cleaning assembly;

the processor is used for executing the water seepage detection program stored in the memory so as to realize the water seepage detection method of any one of claims 1 to 5.

8. A server, comprising: a processor and a memory, wherein the processor is used for executing the water seepage detection program stored in the memory so as to realize the water seepage detection method of any one of claims 1 to 5.

9. A water seepage detection system, comprising: a robot, a server, and a client;

the robot detects the water amount in a dust collection box of the robot through a water amount sensor in the process of cleaning operation of a working area based on a cleaning route, wherein the water amount sensor is arranged in the dust collection box, and compares the water amount in the dust collection box with a set water amount threshold value; if the water quantity in the dust collection box exceeds the water quantity threshold value, acquiring a real-time image of the operation area, and sending the real-time image to the server;

the server acquires current weather information, and determines a cleaning route of the robot according to the weather information so as to enable the robot to perform cleaning operation on a working area based on the cleaning route, wherein if the weather information is rainy, a preset first route is determined as the cleaning route of the robot, and the first route is used for indicating the robot to clean a water seepage area in the working area; if the weather information is in a non-rainy day, determining a preset second route as a cleaning route of the robot, wherein the second route is used for indicating the robot to clean the operation area; identifying the real-time image to obtain an identification result corresponding to the real-time image; when the identification result represents that the real-time image comprises water seepage, sending alarm information for indicating that the operation area has water seepage and the real-time image of the operation area to the client;

10. A storage medium storing one or more programs executable by one or more processors to implement the water seepage detection method according to any one of claims 1 to 5.