CN110897555A

CN110897555A - Garbage classification method, device, medium and electronic equipment

Info

Publication number: CN110897555A
Application number: CN201911202407.1A
Authority: CN
Inventors: 陈辉; 李琼
Original assignee: Beijing Rockrobo Technology Co Ltd
Current assignee: Beijing Rockrobo Technology Co Ltd
Priority date: 2019-11-29
Filing date: 2019-11-29
Publication date: 2020-03-24

Abstract

The invention provides a garbage classification method, a garbage classification system, a garbage classification medium and electronic equipment. The method is applied to a sweeping robot and comprises the following steps: detecting the shape and the image of an object to be recognized to generate data to be recognized; identifying the object according to the data to be identified; when the object is identified as garbage, identifying the garbage type to which the garbage belongs according to a garbage classification standard; and storing the garbage of different garbage types to different subarea dust boxes of the sweeping robot in a classified manner. The method solves the problem that the sweeping robot cannot classify the cleaned garbage; furthermore, burden on the user can be avoided under the scene of specifying garbage classification.

Description

Garbage classification method, device, medium and electronic equipment

Technical Field

The invention relates to the technical field of data processing, in particular to a garbage classification method, a garbage classification device, a garbage classification medium and electronic equipment.

Background

With the development of science and technology, more and more science and technology products enter into our work and life, and the sweeping robot is just one of them.

At present, a robot of a sweeper generally has only one dust box, and all garbage swept in the sweeping process is absorbed into the dust box. However, in our daily life, the garbage to be cleaned on the floor is not a single type, and there may be various situations such as dry garbage, wet garbage, recyclable garbage, etc. according to the current garbage classification principle. The centralized absorption processing is not only not beneficial to garbage classification, but also brings extra burden to users in certain scenes needing garbage classification.

Therefore, in the long-term research and development, the inventor has conducted a lot of research on garbage classification of the sweeping robot and has proposed a garbage classification method to solve one of the above technical problems.

Disclosure of Invention

The present invention is directed to a garbage classification method, apparatus, medium, and electronic device, which can solve at least one of the above-mentioned problems. The specific scheme is as follows:

according to a specific embodiment of the present invention, in a first aspect, the present invention provides a garbage classification method applied to a sweeping robot, including: detecting the shape and the image of an object to be recognized to generate data to be recognized; identifying the object according to the data to be identified; when the object is identified as garbage, identifying the garbage type to which the garbage belongs according to a garbage classification standard; and storing the garbage of different garbage types to different subarea dust boxes of the sweeping robot in a classified manner.

According to a second aspect of the present invention, there is provided a garbage sorting device applied to a sweeping robot, including: the detection module is used for detecting the shape and the image of the object to be recognized and generating data to be recognized; the identification module is used for identifying the object according to the data to be identified; when the object is identified as garbage, identifying the garbage type to which the garbage belongs according to a garbage classification standard; and the classification module is used for storing the garbage of different garbage types to the different partition dust boxes of the sweeping robot in a classification way.

According to a third aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of garbage classification as defined in any one of the above.

According to a fourth aspect of the present invention, there is provided an electronic apparatus including: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a garbage classification method as claimed in any one of the preceding claims.

Compared with the prior art, the scheme of the embodiment of the invention stores different types of garbage into different dust boxes in a classified manner, so that the garbage is stored in a classified manner, and the current situation that the sweeping robot cannot classify the cleaned garbage is solved; furthermore, burden on the user can be avoided under the scene of specifying garbage classification.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:

fig. 1 is a schematic structural diagram of a dust box in a sweeping robot according to an embodiment of the present invention;

FIG. 2 shows a flow diagram of a method of garbage classification according to an embodiment of the invention;

FIG. 3 shows a result presentation diagram of a recycling apparatus according to an embodiment of the present invention;

FIG. 4 illustrates a flowchart of a method of garbage classification recycling when the partitioned dust box is storing wet garbage, according to an embodiment of the present invention;

FIG. 5 is a diagram illustrating the results of a garbage classification apparatus according to an embodiment of the present invention;

fig. 6 shows a schematic diagram of an electronic device connection structure according to an embodiment of the invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. 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.

The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a plurality" typically includes at least two.

It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

It should be understood that although the terms first, second, third, etc. may be used to describe … … in embodiments of the present invention, these … … should not be limited to these terms. These terms are used only to distinguish … …. For example, the first … … can also be referred to as the second … … and similarly the second … … can also be referred to as the first … … without departing from the scope of embodiments of the present invention.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such article or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in the article or device in which the element is included.

Alternative embodiments of the present invention are described in detail below with reference to the accompanying drawings.

Example 1

As shown in fig. 1, a schematic structural diagram of a dust box in a sweeping robot is shown, and a baffle 100 and a separation valve 110 may be arranged in the dust box of the sweeping robot according to the type of the garbage, so as to partition the dust box into a first partition dust box 120 and a second partition dust box 130, where each partition dust box may store one type of garbage. The bottom of each partition dust box is provided with a

garbage outlet

121 and 131.

The baffle 100 may be connected to the separation valve 110 through a rotating shaft 140, and controls the rotating shaft 140 to rotate, so as to drive the separation valve 110 to rotate, and after each rotation, the garbage inlet 150 of the dust box is communicated with a partition dust box to be stored. Of course, the partition dust box is not limited to two partition dust boxes, but may be three, four, etc., depending on the structure of the separation valve 110. In the embodiment of the present invention, the separation valve 110 is a baffle structure.

Specifically, referring to fig. 2, the garbage classification method includes the following steps:

s21, detecting the shape and the image of the object to be recognized, and generating data to be recognized;

as an alternative embodiment, the detecting the shape and the image of the object to be recognized and generating the data to be recognized includes:

controlling an infrared sensor in the sweeping robot to detect the shape of an object to be identified and generating shape data; and

and controlling a camera in the sweeping robot to detect the image of the object to be identified and generating image data.

In a specific implementation process, after receiving a starting instruction, the sweeping robot starts sweeping, and in the sweeping process, the sweeping robot controls an infrared sensor on the machine body to detect an object on the ground, scans the shape of the object and forms shape data; and simultaneously controlling a binocular camera on the machine body to detect the object, acquiring an image of the object and forming image data. Here, the accuracy of the trash recognition can be improved by using a detection method in which an infrared sensor is combined with a camera, for example, the shape of an object obtained by the infrared sensor is plate-like, but it is unknown which plate-like object is specific, and therefore it is also necessary to recognize which trash the object is specific in combination with an image of the object.

S22, identifying the object according to the data to be identified; when the object is identified as garbage, identifying the garbage type to which the garbage belongs according to a garbage classification standard;

as an alternative embodiment, the identifying an object according to the data to be identified includes:

matching the data to be identified with a pre-stored garbage database; and if the matching is successful, identifying the object as garbage.

In a specific implementation process, the garbage database comprises all collected garbage data, the data to be identified is compared with the collected garbage data, and if the data to be identified is found in the garbage database, it indicates that the object to be identified is the garbage.

And updating the garbage database at fixed time intervals to enrich the garbage quantity or attribute in the garbage database.

When the object to be identified is certain garbage, identifying the garbage type of the garbage according to a garbage classification standard pre-stored in the sweeping robot;

in 2017, a new implementation scheme of a household garbage classification system was issued by the department of development, improvement and housing and construction, and the garbage classification is required to be popularized, but the garbage classification standards of different cities are different. At present, domestic garbage is classified into four categories including harmful garbage, recoverable garbage, wet garbage and dry garbage in the Shanghai. Here, the garbage classification standard is not limited, and may be set in the sweeping robot according to actual living needs, and at least two garbage types may be set, for example, food wastes such as leftovers, bones, roots, leaves, and peels belong to wet garbage; the waste, dust and food bag (box) which are difficult to recycle, such as brick and tile ceramics, muck, waste paper of a toilet, paper towels, and the like, belong to dry garbage.

And if the object is identified to be non-garbage, sending a non-cleaning instruction to the sweeping robot, and continuing to move forward and detecting other objects on the ground.

Of course, the above identification method may be applied to a local processor of the sweeper, or may be applied to a remote device such as a server. For example, after detecting and generating the data to be identified, the sweeping robot directly processes the data on a local processor of the sweeping robot to identify whether the data is garbage or not and classify the garbage; or the sweeping robot is connected with the cloud storage through 5G data, the data to be identified generated by detection can be uploaded to the cloud storage, the cloud storage identifies garbage and classifies the garbage, a corresponding instruction is returned to the sweeping robot, and the collected garbage data and the garbage classification standard are prestored in the cloud storage.

And S23, storing the garbage of different garbage types into different partition dust boxes of the sweeping robot in a classified manner.

In this step, a classification storage standard may be defined in the sweeping robot in advance, and different types of garbage are stored in different partition dust boxes according to the classification storage standard, where the classification storage standard includes that each type of garbage corresponds to one partition dust box.

At present, most sweeping robots are household sweeping robots and mainly used for sweeping wet garbage and dry garbage. As an optional embodiment, the classifying and storing the garbage of the different garbage types to different partition dust boxes of the sweeping robot includes:

controlling the dry garbage to be stored in a first partition dust box; and controlling the wet garbage to be stored in a second partition dust box.

Further, the classified storage of the garbage of different garbage types to the different partition dust boxes of the sweeping robot includes:

and controlling a separation valve in the sweeping robot to rotate according to the type of the garbage so as to store the garbage into a specific partition dust box.

In a specific implementation process, after a garbage type determining instruction is received, matching the garbage type with the classification storage standard to obtain the partition dust box into which the object is stored; afterwards to the robot of sweeping the floor sends the categorised storage instruction, the categorised storage instruction is used for control pivot 140 rotates certain angle, drives separating valve rotates to the assigned position, and rubbish entry 150 is in the connected state with the subregion dirt box of treating the storage this moment, the robot of sweeping the floor passes through rubbish entry 150 is absorbed the object extremely the subregion dirt box. The corresponding relation between the rotation angle of the rotating shaft 140 and the partition dust box can be preset in the sweeping robot according to actual conditions.

Further, the method further comprises:

and S24, automatically identifying the recovery device corresponding to the partition dust box after receiving the garbage cleaning finishing instruction.

After the sweeping robot sweeps the floor, the garbage stored in the partition dust boxes needs to be dumped, so that different types of recovery devices can be configured for the sweeping robot in advance, as shown in fig. 3, a result display schematic diagram of the recovery devices is shown, and the types of the recovery devices need to be in one-to-one correspondence with the partition dust boxes. For example, if dry trash and wet trash are stored in the first partition dust box 120 and the second partition dust box 130, respectively, two recycling devices are configured and a written logo, such as "dry trash" or "wet trash", is posted on the outside of each recycling device.

As an alternative embodiment, the automatic identification of the recycling apparatus corresponding to the partitioned dust box includes:

and automatically identifying the recovery device corresponding to the partition dust box according to the recovery type of the external character identifier of the recovery device.

In a specific implementation process, after the sweeping completion instruction of the sweeping robot is received, the camera on the body of the sweeping robot is controlled to collect character identifiers outside the recovery device, semantic analysis is performed on the characters by adopting a computer algorithm, and if the character identifiers represent garbage types such as dry garbage, wet garbage and the like, the recovery device consistent with the garbage types in the partition dust box is identified. Preferably, the recycling device can be a garbage can, and each garbage can is internally provided with a garbage bag.

In another embodiment, different types of recycling devices may be identified based on their color identification, for example, recycling devices that recycle dry trash are identified by a red color and recycling devices that recycle wet trash are identified by a green color.

And further, after the corresponding recovery device is identified, sending a garbage recovery instruction to the recovery device, wherein the garbage recovery instruction is used for controlling the garbage in the partition dust box to be poured into the recovery device.

Specifically, since each partition dust box is provided with a

garbage outlet

121 and 131 at the bottom, the garbage in the partition dust box can be dumped into the corresponding recycling device by controlling the opening of the garbage outlet.

The recycling device includes a sensor for detecting the amount of waste in the recycling device. The recovery device is used for: when the garbage amount of the recovery device reaches the sensing parameters of the sensor, the garbage is automatically closed and full warning is carried out. Wherein, the sensor can be one of an infrared sensor or a weight sensor. The sensing parameter can be position or quality, and is used for indicating that the garbage amount reaches the maximum value.

In the embodiment of the invention, the sensor is an infrared sensor and is arranged at the upper end of the side wall of the recovery device, and when the garbage amount of the recovery device reaches the sensing position of the infrared sensor, the recovery device is automatically closed and the garbage fullness warning is carried out.

When the recovery device is automatically closed, the garbage fullness warning can be carried out in a first warning mode, and cleaning personnel are reminded of cleaning the recovery device. The first warning mode can be a mode that the recovery device sends out voice, alarm sound and the like.

In addition, the garbage full warning can be performed in a second warning mode. The second warning mode can be a short message prompt sent to a user or a cleaning staff.

In another embodiment, the sensor is a weight sensor and is arranged at the bottom end of the side wall of the recovery device, and when the garbage amount of the recovery device reaches the upper load limit of the weight sensor, the recovery device is automatically closed and a garbage full alarm is performed. Here, the warning method of full garbage specifically refers to the warning method of the above embodiment.

In addition, referring to fig. 4, the method further includes:

s41, when the garbage type is wet garbage, sending an opening instruction to the recovery device, wherein the opening instruction is used for controlling the recovery device to open a recovery inlet;

and S42, after receiving the recycling completion instruction, sending a closing instruction to the recycling device, wherein the closing instruction is used for controlling the recycling device to close the recycling inlet.

In the specific implementation process, because the smell of the wet garbage is bad, the preferable mode is that the recovery device is kept in a closed state at ordinary times, and only when the sweeping robot identifies that the garbage in the subarea dust box is the wet garbage, an opening instruction is sent to the recovery device for recovering the wet garbage, so that the wet garbage can be poured into the recovery device; once the garbage is poured, the sweeping robot sends a closing instruction to a recovery device for recovering wet garbage, and then the recovery device is in a closed state.

Wherein the recycling inlet refers to an opening of the trash bag. The manner of closing or opening the recycling inlet is not limited and can be achieved by any of the prior art, for example, by heating the opening of the trash bag, which can be deformed by heating, so that the openings of the trash bag are gathered together to achieve a closing effect.

Finally, the garbage classification method provided by the embodiment of the invention realizes classified storage of garbage by absorbing different types of garbage into different partition dust boxes, and solves the problem that a sweeping robot cannot classify the cleaned garbage; furthermore, burden on the user can be avoided under the scene of specifying garbage classification.

Example 2

The garbage classification device 500 provided in embodiment 2 of the present invention is applied to a sweeping robot, and the specific structure of the dust box in the sweeping robot is the same as that of the dust box in embodiment 1, which can be referred to in embodiment 1.

Referring to fig. 5, the garbage classification apparatus 500 includes: a detection module 510, an identification module 520, a classification module 530, and a sending module 540.

The detection module 510 is configured to detect a shape and an image of an object to be recognized, and generate data to be recognized;

as an optional embodiment, the detection module 510 is specifically configured to:

controlling an infrared sensor in the sweeping robot to detect the shape of an object to be identified and generating shape data; and controlling a camera in the sweeping robot to detect the image of the object to be identified and generating image data.

In a specific implementation process, after receiving a starting instruction, the sweeping robot starts sweeping, and in the sweeping process, the detection module 510 controls the infrared sensor on the robot body to detect an object on the ground, scan the shape of the object and form shape data; meanwhile, the detection module 510 controls a binocular camera on the body to detect the object, acquire an image of the object and form image data. The detection module 510 can improve the accuracy of recognizing the garbage by using a detection method combining an infrared sensor and a camera, for example, the infrared sensor obtains the shape of the object as a plate, but does not know which plate-like object is, and therefore, the image of the object is combined to recognize which garbage is.

The identification module 520 is configured to identify an object according to the data to be identified; when the object is identified as garbage, identifying the garbage type to which the garbage belongs according to a garbage classification standard;

as an alternative embodiment, the identification module 520 is specifically configured to:

In a specific implementation process, the garbage database includes all collected garbage data, the identification module 520 compares the data to be identified with the collected garbage data, and if the data to be identified is found in the garbage database, it indicates that the object to be identified is the garbage.

When the recognition module 520 recognizes that the object to be recognized is certain garbage, the type of the garbage can be recognized according to a garbage classification standard pre-stored in the sweeping robot;

If the recognition module 520 recognizes that the object is not garbage, a non-cleaning instruction is sent to the sweeping robot, and the sweeping robot continues to move forward and detects other objects on the ground.

Of course, the recognition module 520 may be applied to a local processor of the sweeping robot, or may be applied to a remote device such as a server. For example, after detecting and generating the data to be identified, the sweeping robot directly processes the data on a local processor of the sweeping robot to identify whether the data is garbage or not and classify the garbage; or the sweeping robot is connected with the cloud storage through 5G data, the data to be identified generated by detection can be uploaded to the cloud storage, the cloud storage identifies garbage and classifies the garbage, a corresponding instruction is returned to the sweeping robot, and the collected garbage data and the garbage classification standard are prestored in the cloud storage.

The sorting module 530 is configured to store the garbage of different garbage types to different partition dust boxes of the sweeping robot in a sorted manner.

Specifically, classification storage criteria may be defined in the sweeping robot in advance, and the classification module 530 stores different types of garbage into different partition dust boxes according to the classification storage criteria, where the classification storage criteria includes that each type of garbage corresponds to one partition dust box.

At present, most sweeping robots are household sweeping robots and mainly used for sweeping wet garbage and dry garbage. As an optional embodiment, the classification module 530 is specifically configured to:

Further, the classification module 530 is further configured to:

In a specific implementation process, after receiving a garbage type determining instruction, the classifying module 530 matches the garbage type with the classifying storage standard, so as to obtain into which partition dust box the object is stored; afterwards categorised module 530 to robot of sweeping floor sends categorised storage instruction, categorised storage instruction is used for control the pivot rotates certain angle, drives separation valve rotates to the assigned position, and rubbish entry and the subregion dirt box of waiting to save are in the connected state this moment, robot of sweeping floor passes through rubbish entry is absorbed the object extremely the subregion dirt box. The corresponding relation between the rotating angle of the rotating shaft and the partition dust box can be preset in the sweeping robot according to actual conditions.

Further, the identification module 520 is further configured to: and after receiving a garbage cleaning finishing instruction, automatically identifying the recovery device corresponding to the partition dust box.

After the sweeping robot sweeps the floor, the garbage stored in the partition dust box needs to be dumped, so that the sweeping robot can be provided with recovery devices of different types in advance, and the types of the recovery devices correspond to the partition dust boxes one by one. For example, if dry trash and wet trash are stored in the first partition dust box and the second partition dust box, respectively, two recycling devices are configured and a character mark such as "dry trash" or "wet trash" is posted on the outside of each recycling device.

In a specific implementation process, after the recognition module 520 receives the sweeping completion instruction of the sweeping robot, the camera on the body of the sweeping robot is controlled to collect character identifiers outside the recovery device, semantic analysis is performed on the characters by using a computer algorithm, and if the character identifiers represent garbage types, such as dry garbage, wet garbage and the like, the recovery device consistent with the garbage types in the partition dust box is recognized. Preferably, the recycling device can be a garbage can, and each garbage can is internally provided with a garbage bag.

Optionally, the identification module 520 may also identify different types of recycling devices according to the color identifiers of the recycling devices, for example, the recycling device for recycling dry garbage is identified by red, and the recycling device for recycling wet garbage is identified by green.

Further, the device 500 further includes a sending module 540, configured to send a garbage collection instruction to the collection device after identifying the corresponding collection device, where the garbage collection instruction is used to control the garbage in the partition dust box to be poured into the collection device.

Specifically, as the bottom of each partition dust box is provided with a garbage outlet, the garbage in the partition dust box can be poured into the corresponding recovery device by controlling the opening of the garbage outlet.

Furthermore, the sending module 540 is further configured to:

when the garbage type is wet garbage, sending an opening instruction to the recovery device, wherein the opening instruction is used for controlling the recovery device to open a recovery inlet; and after receiving a recycling completion instruction, sending a closing instruction to the recycling device, wherein the closing instruction is used for controlling the recycling device to close the recycling inlet.

In a specific implementation process, because the smell of the wet garbage is bad, the preferable mode is that the recovery device is kept in a closed state at ordinary times, and only when the sweeping robot recognizes that the garbage in the partition dust box is the wet garbage, the sending module 540 sends an opening instruction to the recovery device for recovering the wet garbage, so that the wet garbage can be poured into the recovery device; once the garbage is completely dumped, the sending module 540 sends a closing instruction to the recycling device for recycling the wet garbage, and the recycling device is in a closed state again.

Finally, the garbage classification device provided by the embodiment of the invention can realize classified storage of garbage by absorbing different types of garbage into different partition dust boxes, so that the current situation that a sweeping robot cannot classify the cleaned garbage is solved; furthermore, burden on the user can be avoided under the scene of specifying garbage classification.

Example 3

The embodiment of the present disclosure provides a non-volatile computer storage medium, where computer-executable instructions are stored, and the computer-executable instructions may execute the garbage classification method in any method embodiment described above.

Example 4

The embodiment provides an electronic device, which is used for a garbage classification method, and the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the one processor to cause the at least one processor to:

detecting the shape and the image of an object to be recognized to generate data to be recognized;

identifying the object according to the data to be identified; when the object is identified as garbage, identifying the garbage type to which the garbage belongs according to a garbage classification standard;

and storing the garbage of different garbage types to different subarea dust boxes of the sweeping robot in a classified manner.

Example 5

Referring now to FIG. 6, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 6, the electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.

Claims

1. A garbage classification method is applied to a sweeping robot and is characterized by comprising the following steps:

2. The method according to claim 1, wherein the detecting the shape and the image of the object to be recognized and the generating the data to be recognized comprise:

3. The method of claim 1, wherein identifying the object according to the data to be identified comprises:

matching the data to be identified with a pre-stored garbage database;

and if the matching is successful, identifying the object as garbage.

4. The method of claim 1, wherein the sorting the garbage of the different garbage types into different zoning dust boxes of the sweeping robot comprises:

5. The method of claim 1, wherein the garbage types comprise: dry and wet trash;

the classified storage of the rubbish of different rubbish types to the different subregion of robot of sweeping floor dirt box includes:

controlling the dry garbage to be stored in a first partition dust box; and a process for the preparation of a coating,

and controlling the wet garbage to be stored in a second partition dust box.

6. The method of claim 1, further comprising:

and after receiving a garbage cleaning finishing instruction, automatically identifying the recovery device corresponding to the partition dust box.

7. The method of claim 6, wherein automatically identifying a recycling device corresponding to the partitioned dust box comprises:

automatically identifying the recovery device corresponding to the partition dust box according to the recovery type of the external character identifier of the recovery device; alternatively, the first and second electrodes may be,

and automatically identifying the recovery device corresponding to the partition dust box according to the color identification of the recovery device.

8. The method of claim 6, further comprising:

when wet garbage is stored in the partition dust box, sending an opening instruction to the recovery device, wherein the opening instruction is used for controlling the recovery device to open a recovery inlet;

and after receiving a recycling completion instruction, sending a closing instruction to the recycling device, wherein the closing instruction is used for controlling the recycling device to close the recycling inlet.

9. The method of claim 6, wherein the recovery device comprises a sensor, the recovery device being configured to:

when the garbage amount of the recovery device reaches the sensing parameters of the sensor, the garbage is automatically closed and full warning is carried out.

10. The utility model provides a waste classification device is applied to robot of sweeping the floor, its characterized in that includes:

the detection module is used for detecting the shape and the image of the object to be recognized and generating data to be recognized;

the identification module is used for identifying the object according to the data to be identified; when the object is identified as garbage, identifying the garbage type to which the garbage belongs according to a garbage classification standard;

and the classification module is used for storing the garbage of different garbage types to the different partition dust boxes of the sweeping robot in a classification way.

11. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1 to 9.

12. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method of any one of claims 1 to 9.