CN114289343A - Garbage classification processing method and system - Google Patents
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Abstract
The invention provides a garbage classification processing method and system, and relates to the technical field of garbage classification. The method comprises the following steps: and acquiring a preset garbage classification rule. And establishing a garbage classification model according to a preset garbage classification rule, and training the garbage classification model to obtain a trained garbage classification model. And acquiring target junk image data, and performing feature extraction on the target junk image data to obtain corresponding feature information. And inputting the characteristic information into the trained garbage classification model to obtain a corresponding garbage classification result. And inputting the garbage classification result into a preset garbage disposal library for matching so as to obtain corresponding garbage disposal information. The method and the system provide a targeted treatment method for different garbage types, so that the garbage is reasonably and environmentally utilized and disposed, and the problems of garbage pollution such as 'dirty and bad' environment in rural construction, garbage pollution in 'rivers, lakes and seas' in rural areas and the like are solved.
Description
Technical Field
The invention relates to the technical field of garbage classification, in particular to a garbage classification processing method and system.
Background
With the progress of society, the living standard and quality of people are gradually improved, and the amount of consumable things is increased, so that more and more garbage is generated, and the garbage is mainly treated by methods such as landfill, incineration and the like. In order to effectively reduce the processing amount of the garbage and slow down the consumption of earth resources, the recyclable garbage in the garbage can be classified, recycled and reused.
However, the existing garbage classification methods, i.e. dry and wet classification methods, and recyclable and non-recyclable classification methods are not clear in concept and problems are not clear. The dry-wet classification method and the recyclable and non-recyclable classification methods are complex and difficult to master by the public, so that the method cannot be popularized. And the domestic garbage generated by rural life is more and more miscellaneous, the existing garbage classification method can not be used for better classification, and the problems of garbage pollution such as 'dirty and bad' environment in rural construction, garbage pollution in 'rivers, lakes and seas' in rural areas and the like can not be solved.
Disclosure of Invention
The invention aims to provide a garbage classification treatment method and a system, which are used for improving the problems that the existing garbage classification method in the prior art cannot better classify rural domestic garbage and cannot solve the problems of garbage pollution such as 'dirty and bad' environment in rural construction, garbage pollution in 'rivers, lakes and seas' and the like.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides a garbage classification processing method, which includes the following steps: and acquiring a preset garbage classification rule. And establishing a garbage classification model according to a preset garbage classification rule, and training the garbage classification model to obtain a trained garbage classification model. And acquiring target junk image data, and performing feature extraction on the target junk image data to obtain corresponding feature information. And inputting the characteristic information into the trained garbage classification model to obtain a corresponding garbage classification result. And inputting the garbage classification result into a preset garbage disposal library for matching so as to obtain corresponding garbage disposal information.
In some embodiments of the present invention, before the step of obtaining the preset garbage classification rule, the method further includes: and acquiring the garbage characteristics of the household garbage in each rural area. According to the characteristics of the garbage, the rural household garbage is divided into at least two garbage categories to obtain a preset garbage classification rule.
In some embodiments of the present invention, the step of classifying the rural domestic garbage into at least two garbage categories according to garbage characteristics comprises: the rural domestic garbage is divided into rottable garbage, combustible garbage, recoverable garbage, construction garbage and other garbage.
In some embodiments of the present invention, before the step of inputting the garbage classification result into the preset garbage disposal library for matching, the method further includes: and determining environmental protection utilization information according to the garbage characteristics. And binding the environmental protection utilization information with the garbage category corresponding to the garbage characteristics, and storing the bound environmental protection utilization method and garbage category in a preset garbage disposal library.
In some embodiments of the present invention, the step of building a garbage classification model according to a preset garbage classification rule includes: and classifying all the rural domestic garbage according to a preset garbage classification rule to obtain a classification result of the rural domestic garbage. And obtaining the quantity of each garbage category according to the classification result of the household garbage in each rural area, and obtaining the proportion data of each garbage category according to the quantity of each garbage category. And identifying each garbage category to different thumbs of the virtual left hand according to the proportion data of each garbage category so as to represent different garbage categories by using the different thumbs of the virtual left hand.
In some embodiments of the invention, after the step of identifying each garbage category to a different thumb of the virtual left hand according to the proportion data of each garbage category, the method further comprises: and visually presenting the identified virtual left hand.
In some embodiments of the present invention, the step of training the garbage classification model to obtain a trained garbage classification model includes: a plurality of samples is acquired, the plurality of samples including a plurality of spam images. And training the garbage classification model by using a plurality of samples to obtain the trained garbage classification model.
In a second aspect, an embodiment of the present application provides a garbage classification processing system, which includes: and the garbage classification rule obtaining module is used for obtaining the preset garbage classification rule. And the garbage classification model establishing module is used for establishing a garbage classification model according to a preset garbage classification rule and training the garbage classification model to obtain a trained garbage classification model. And the junk image data acquisition module is used for acquiring target junk image data and extracting the characteristics of the target junk image data to obtain corresponding characteristic information. And the garbage classification module is used for inputting the characteristic information into the trained garbage classification model to obtain a corresponding garbage classification result. And the garbage treatment method matching module is used for inputting the garbage classification result into a preset garbage treatment library for matching so as to obtain corresponding garbage treatment information.
In some embodiments of the present invention, the garbage classification processing system further includes: and the garbage characteristic acquisition module is used for acquiring the garbage characteristics of the household garbage in each rural area. And the garbage characteristic analysis module is used for dividing the rural household garbage into at least two garbage categories according to the garbage characteristics so as to obtain a preset garbage classification rule.
In some embodiments of the present invention, the garbage characteristic analyzing module includes: and the classification unit is used for classifying the rural household garbage into rottable garbage, combustible garbage, recyclable garbage, construction garbage and other garbage.
In some embodiments of the present invention, the garbage classification processing system further includes: and the environment-friendly utilization information determining module is used for determining environment-friendly utilization information according to the garbage characteristics. And the binding and storing module is used for binding the environmental utilization information with the garbage category corresponding to the garbage characteristic, and storing the bound environmental utilization method and the garbage category into a preset garbage disposal library.
In some embodiments of the present invention, the garbage classification model building module includes: and the garbage classification unit is used for classifying all rural household garbage according to a preset garbage classification rule to obtain a classification result of each rural household garbage. And the proportion data obtaining unit is used for obtaining the quantity of each garbage category according to the classification result of the household garbage in each rural area and obtaining the proportion data of each garbage category according to the quantity of each garbage category. And the virtual left-hand identification unit is used for identifying each garbage category to different thumbs of the virtual left hand according to the proportion data of each garbage category so as to represent different garbage categories by using the different thumbs of the virtual left hand.
In some embodiments of the present invention, the garbage classification processing system further includes: and the visual presentation module is used for visually presenting the identified virtual left hand.
In some embodiments of the present invention, the garbage classification model building module includes: the system comprises a sample acquisition unit, a data acquisition unit and a data processing unit, wherein the sample acquisition unit is used for acquiring a plurality of samples, and the samples comprise a plurality of garbage images. And the garbage classification model training unit is used for training a garbage classification model by utilizing a plurality of samples so as to obtain the trained garbage classification model.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides a garbage classification processing method and a system, comprising the following steps: and acquiring a preset garbage classification rule. And establishing a garbage classification model according to a preset garbage classification rule, and training the garbage classification model to obtain a trained garbage classification model. And acquiring target junk image data, and performing feature extraction on the target junk image data to obtain corresponding feature information. And inputting the characteristic information into the trained garbage classification model to obtain a corresponding garbage classification result. And inputting the garbage classification result into a preset garbage disposal library for matching so as to obtain corresponding garbage disposal information. The method and the system reasonably define the rural domestic garbage according to the preset rules, are more convenient for people to master and popularize, better classify the rural domestic garbage and solve the problem of bad habit of throwing garbage for a long time for rural residents. The method and the system provide a targeted treatment method for different garbage types, so that the garbage is reasonably and environmentally utilized and disposed, and the problems of garbage pollution such as 'dirty and bad' environment in rural construction, garbage pollution in 'rivers, lakes and seas' in rural areas and the like are solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a garbage classification processing method according to an embodiment of the present invention;
fig. 2 is a block diagram of a garbage classification processing system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a virtual left hand according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating classification of garbage classification according to an embodiment of the present invention;
fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100-a waste classification processing system; 110-a garbage classification rule obtaining module; 120-a garbage classification model building module; 130-a spam image data acquisition module; 140-a garbage classification module; 150-a garbage disposal method matching module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, 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 process, method, article, or apparatus. Without further limitation, the presence of an element identified by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that if the terms "upper", "lower", "inner", "outer", etc. are used to indicate an orientation or positional relationship based on that shown in the drawings or that the application product is usually placed in use, the description is merely for convenience and simplicity, and it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore should not be construed as limiting the present application.
In the description of the present application, it should also be noted that, unless otherwise explicitly stated or limited, the terms "disposed" and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a flowchart illustrating a garbage classification processing method according to an embodiment of the present invention. A garbage classification processing method comprises the following steps:
s110: acquiring a preset garbage classification rule;
specifically, the preset garbage classification rule refers to the classification of the rural domestic garbage into two categories of rottable garbage and non-rottable garbage. The non-rottable garbage is further classified into combustible garbage, recyclable garbage, construction garbage and other garbage.
Referring to fig. 4, fig. 4 is a schematic diagram illustrating classification of garbage classification according to an embodiment of the present invention. The putrescible garbage comprises kitchen waste food, melon and fruit skins and shells, vegetable rhizome and leaf skins, bones, tea residues, fish and poultry waste skins, hair and internal organs, plant ash and the like. The combustible garbage comprises plastic bags, adhesive tapes, foams, paper scraps, cigarette ends, sawdust, crop straws, corncobs, dry fruit peels, tree branches and leaves, flowers and straws, highland barley and the like. The recyclable garbage comprises rubber products such as waste plastic products, waste metals, waste paper, waste household appliances, waste tires and the like. The construction waste comprises waste cement, waste bricks and tiles, sand and stone, residual soil, coal ash, damaged flowerpots, ceramic products, seafood shells and the like. Other garbage includes medicines, cosmetics, pesticides, paints, pesticide bottles, waste batteries, lighters, lamp lamps, old bedding, old clothes and the like.
It should be noted that the recyclable garbage can be used for the user to change.
S120: establishing a garbage classification model according to a preset garbage classification rule, and training the garbage classification model to obtain a trained garbage classification model;
specifically, the trained garbage classification model can identify and classify the target garbage according to preset garbage classification rules.
S130: acquiring target junk image data, and performing feature extraction on the target junk image data to obtain corresponding feature information;
s140: inputting the characteristic information into a trained garbage classification model to obtain a corresponding garbage classification result;
illustratively, if the characteristic information shows that the target garbage is leftovers, the trained garbage classification model identifies the target garbage image data to obtain a garbage classification result of the target garbage as a rottable result.
S150: and inputting the garbage classification result into a preset garbage disposal library for matching so as to obtain corresponding garbage disposal information.
Specifically, the user processes the target garbage according to the corresponding garbage processing information. The method reasonably defines the rural domestic garbage according to the preset rules, is more convenient for people to master and popularize, better classifies the rural domestic garbage, and solves the bad habit problem that rural residents throw garbage randomly for a long time. The method provides a targeted treatment method for different garbage types, so that the garbage is reasonably and environmentally utilized and disposed, and the problems of garbage pollution such as 'dirty and bad environment' in rural construction, garbage pollution in 'rivers, lakes and seas' in rural areas and the like are solved.
Illustratively, if the garbage classification result is compostable garbage, the corresponding garbage processing information is composted manure of the compostable garbage to become organic farmyard manure for returning the compostable garbage to the field. And if the garbage classification result is combustible garbage, the corresponding garbage treatment information is that the combustible garbage is decomposed and combusted for peasant households to cook, boil water and heat kang. And if the garbage classification result is recyclable garbage, the corresponding garbage processing information is used for selling old garbage money for the recyclable garbage. If the garbage classification result is building garbage, the corresponding garbage treatment information is that the building garbage is used for filling a pit and filling a channel, can be stacked in a village designated area and is mainly used for village ditch filling and leveling or site selection landfill soil covering. If the garbage classification result is other garbage, the corresponding garbage treatment information is that the user puts other garbage into a garbage can at the door of the house, the village is regularly collected and transported to a temporary storage place of the village, and the town clearing and transportation team regularly arrives at the village for clearing and transportation, so that the harmless treatment is uniformly arranged, and the problems of centralized storage and same treatment of the toxic and harmful garbage are solved. The method solves the technical problem caused by unprofessional garbage treatment by performing targeted treatment on various types of garbage.
In some embodiments of this embodiment, before the step of obtaining the preset garbage classification rule, the method further includes: and acquiring the garbage characteristics of the household garbage in each rural area. According to the characteristics of the garbage, the rural household garbage is divided into at least two garbage categories to obtain a preset garbage classification rule. Wherein, the garbage of the household garbage in each rural area can be characterized by being rotten, poisonous and harmful, combustible and the like.
In some embodiments of this embodiment, the step of classifying the rural domestic garbage into at least two garbage categories according to garbage characteristics includes: the rural domestic garbage is divided into rottable garbage, combustible garbage, recoverable garbage, construction garbage and other garbage.
In some embodiments of this embodiment, before the step of inputting the garbage classification result into a preset garbage disposal library for matching, the method further includes: and determining environmental protection utilization information according to the garbage characteristics. And binding the environmental protection utilization information with the garbage category corresponding to the garbage characteristics, and storing the bound environmental protection utilization method and garbage category in a preset garbage disposal library. Specifically, the environmental protection utilization information is bound with the garbage category corresponding to the garbage characteristics and then stored in the garbage disposal library, so that the corresponding environmental protection utilization information can be rapidly acquired according to the garbage category, and the garbage is disposed.
Referring to fig. 3, fig. 3 is a schematic view of a virtual left hand according to an embodiment of the present invention. In some embodiments of this embodiment, the step of building a garbage classification model according to a preset garbage classification rule includes: and classifying all the rural domestic garbage according to a preset garbage classification rule to obtain a classification result of the rural domestic garbage. And obtaining the quantity of each garbage category according to the classification result of the household garbage in each rural area, and obtaining the proportion data of each garbage category according to the quantity of each garbage category. And identifying each garbage category to different thumbs of the virtual left hand according to the proportion data of each garbage category so as to represent different garbage categories by using the different thumbs of the virtual left hand. Specifically, the rural household garbage is sorted according to the proportion data of the rural household garbage from more to less, the virtual left thumb is used for representing the rottable garbage, and the rottable garbage accounts for about 55% of the total amount of the garbage. The virtual left index finger represents combustible garbage, and the combustible garbage accounts for about 35% of the total garbage. The middle finger of the virtual left hand represents the recyclable garbage, and the recyclable garbage accounts for about 5% of the total amount of the garbage. The virtual left-hand ring finger represents construction waste, and the construction waste accounts for about 3% of the total amount of the waste. The virtual left thumb represents other garbage, and the other garbage accounts for about 2% of the total garbage. Therefore, the classified utilization of the rural domestic garbage is converted into five fingers of a virtual left hand, so that the proportion of different types of garbage and the classified treatment of the different types of garbage can be visually embodied.
In some embodiments of this embodiment, after the step of identifying each garbage category to a different thumb of the virtual left hand according to the proportion data of each garbage category, the method further includes: and visually presenting the identified virtual left hand.
In some embodiments of this embodiment, the step of training the garbage classification model to obtain a trained garbage classification model includes: a plurality of samples is acquired, the plurality of samples including a plurality of spam images. And training the garbage classification model by using a plurality of samples to obtain the trained garbage classification model.
Referring to fig. 2, fig. 2 is a block diagram illustrating a garbage classification processing system 100 according to an embodiment of the present invention. The embodiment of the present application provides a garbage classification processing system 100, which includes: a garbage classification rule obtaining module 110, configured to obtain a preset garbage classification rule. The garbage classification model establishing module 120 is configured to establish a garbage classification model according to a preset garbage classification rule, and train the garbage classification model to obtain a trained garbage classification model. The spam image data obtaining module 130 is configured to obtain target spam image data, and perform feature extraction on the target spam image data to obtain corresponding feature information. And the garbage classification module 140 is configured to input the feature information into the trained garbage classification model to obtain a corresponding garbage classification result. And the garbage disposal method matching module 150 is configured to input the garbage classification result to a preset garbage disposal library for matching, so as to obtain corresponding garbage disposal information.
Specifically, the system reasonably defines the rural domestic garbage according to the preset rules, is more convenient for people to master and popularize so as to better classify the rural domestic garbage and solve the problem of bad habit of throwing garbage for rural residents for a long time. The system provides a targeted treatment method for different garbage types, so that the garbage is reasonably and environmentally utilized and disposed, and the problems of garbage pollution such as 'dirty and bad' environment in rural construction, garbage pollution in 'rivers, lakes and seas' in rural areas and the like are solved.
In some embodiments of this embodiment, the garbage classification processing system 100 further includes: and the garbage characteristic acquisition module is used for acquiring the garbage characteristics of the household garbage in each rural area. And the garbage characteristic analysis module is used for dividing the rural household garbage into at least two garbage categories according to the garbage characteristics so as to obtain a preset garbage classification rule. Wherein, the garbage of the household garbage in each rural area can be characterized by being rotten, poisonous and harmful, combustible and the like.
In some embodiments of this embodiment, the garbage characteristic analysis module includes: and the classification unit is used for classifying the rural household garbage into rottable garbage, combustible garbage, recyclable garbage, construction garbage and other garbage.
In some embodiments of this embodiment, the garbage classification processing system 100 further includes: and the environment-friendly utilization information determining module is used for determining environment-friendly utilization information according to the garbage characteristics. And the binding and storing module is used for binding the environmental utilization information with the garbage category corresponding to the garbage characteristic, and storing the bound environmental utilization method and the garbage category into a preset garbage disposal library. Specifically, the environmental protection utilization information is bound with the garbage category corresponding to the garbage characteristics and then stored in the garbage disposal library, so that the corresponding environmental protection utilization information can be rapidly acquired according to the garbage category, and the garbage is disposed.
In some implementations of this embodiment, the garbage classification model building module 120 includes: and the garbage classification unit is used for classifying all rural household garbage according to a preset garbage classification rule to obtain a classification result of each rural household garbage. And the proportion data obtaining unit is used for obtaining the quantity of each garbage category according to the classification result of the household garbage in each rural area and obtaining the proportion data of each garbage category according to the quantity of each garbage category. And the virtual left-hand identification unit is used for identifying each garbage category to different thumbs of the virtual left hand according to the proportion data of each garbage category so as to represent different garbage categories by using the different thumbs of the virtual left hand. Therefore, the classified utilization of the rural domestic garbage is converted into five fingers of a virtual left hand, so that the proportion of different types of garbage and the classified treatment of the different types of garbage can be visually embodied.
In some embodiments of this embodiment, the garbage classification processing system 100 further includes: and the visual presentation module is used for visually presenting the identified virtual left hand.
In some implementations of this embodiment, the garbage classification model building module 120 includes: the system comprises a sample acquisition unit, a data acquisition unit and a data processing unit, wherein the sample acquisition unit is used for acquiring a plurality of samples, and the samples comprise a plurality of garbage images. And the garbage classification model training unit is used for training a garbage classification model by utilizing a plurality of samples so as to obtain the trained garbage classification model.
Referring to fig. 5, fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used for storing software programs and modules, such as program instructions/modules corresponding to the garbage classification processing system 100 provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, thereby executing various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 5 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 5 or have a different configuration than shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. 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.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A garbage classification processing method is characterized by comprising the following steps:
acquiring a preset garbage classification rule;
establishing a garbage classification model according to the preset garbage classification rule, and training the garbage classification model to obtain a trained garbage classification model;
acquiring target junk image data, and performing feature extraction on the target junk image data to obtain corresponding feature information;
inputting the characteristic information into a trained garbage classification model to obtain a corresponding garbage classification result;
and inputting the garbage classification result into a preset garbage disposal library for matching so as to obtain corresponding garbage disposal information.
2. The garbage classification processing method according to claim 1, wherein before the step of obtaining the preset garbage classification rule, the method further comprises:
acquiring the garbage characteristics of the household garbage in each rural area;
and according to the garbage characteristics, dividing the rural household garbage into at least two garbage categories to obtain a preset garbage classification rule.
3. The method of waste classification as claimed in claim 2, wherein the step of classifying the rural domestic waste into at least two waste categories according to the waste characteristics comprises:
the rural domestic garbage is divided into rottable garbage, combustible garbage, recoverable garbage, construction garbage and other garbage.
4. The method of claim 2, wherein before the step of inputting the garbage classification result into a preset garbage disposal library for matching, the method further comprises:
determining environmental protection utilization information according to the garbage characteristics;
and binding the environmental protection utilization information with the garbage category corresponding to the garbage characteristics, and storing the bound environmental protection utilization method and garbage category in a preset garbage disposal library.
5. The garbage classification processing method according to claim 1, wherein the step of establishing a garbage classification model according to the preset garbage classification rule comprises:
classifying all rural domestic garbage according to the preset garbage classification rule to obtain the classification result of each rural domestic garbage;
obtaining the quantity of each garbage category according to the classification result of the rural household garbage, and obtaining the proportion data of each garbage category according to the quantity of each garbage category;
and identifying each garbage category to different thumbs of the virtual left hand according to the proportion data of each garbage category so as to represent different garbage categories by using the different thumbs of the virtual left hand.
6. The garbage sorting method according to claim 5, further comprising, after the step of identifying each garbage category to a different thumb of the virtual left hand based on the specific gravity data of each garbage category:
and visually presenting the identified virtual left hand.
7. The garbage classification processing method according to claim 1, wherein the step of training the garbage classification model to obtain a trained garbage classification model comprises:
obtaining a plurality of samples, the plurality of samples comprising a plurality of spam images;
and training the garbage classification model by using the plurality of samples to obtain a trained garbage classification model.
8. A waste sorting system, comprising:
the garbage classification rule obtaining module is used for obtaining a preset garbage classification rule;
the garbage classification model establishing module is used for establishing a garbage classification model according to the preset garbage classification rule and training the garbage classification model to obtain a trained garbage classification model;
the junk image data acquisition module is used for acquiring target junk image data and extracting the characteristics of the target junk image data to obtain corresponding characteristic information;
the garbage classification module is used for inputting the characteristic information into a trained garbage classification model to obtain a corresponding garbage classification result;
and the garbage treatment method matching module is used for inputting the garbage classification result into a preset garbage treatment library for matching so as to obtain corresponding garbage treatment information.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111643219.XA CN114289343A (en) | 2021-12-29 | 2021-12-29 | Garbage classification processing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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