CN110826995A - Intelligent garbage classification method, human-computer interaction module and system - Google Patents
Intelligent garbage classification method, human-computer interaction module and system Download PDFInfo
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- CN110826995A CN110826995A CN201911060488.6A CN201911060488A CN110826995A CN 110826995 A CN110826995 A CN 110826995A CN 201911060488 A CN201911060488 A CN 201911060488A CN 110826995 A CN110826995 A CN 110826995A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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Abstract
The embodiment of the invention discloses an intelligent garbage classification method, a man-machine interaction module and a system, wherein the method comprises the following steps: the man-machine interaction module receives the selection of a storage mode of a user; if the user selects the unclassified mode, the man-machine interaction module executes the following steps: sending an instruction to trigger the opening of the garbage storage bin; weighing the garbage to be classified, and recording the total weight; classifying and storing garbage to be classified by adopting an unclassified process; if the user selects the classified mode, the following steps are executed: entering a detailed category interface; receiving a selection of a small category by a user; weighing the initial classified garbage, and recording the total weight; and classifying the initial classified garbage by adopting a detailed classification process, storing the garbage which accords with the small class, and classifying the garbage which does not accord with the small class by adopting an unclassified process. The embodiment of the invention is used for weighing and recording the garbage thrown by citizens on the basis of classifying the garbage, so that the garbage reduction assessment of the citizens is realized.
Description
Technical Field
The invention relates to the technical field of garbage classification and identification, in particular to an intelligent garbage classification method, a human-computer interaction module and a system.
Background
With the formal implementation of the regulations on domestic waste management in Shanghai City in 2019, 7 and 1, the classification of waste is gradually popularized across the country. In the existing garbage classification method, attention is basically paid to how to intelligently and accurately classify garbage, so that the consciousness of citizens on classification of different garbage is gradually strengthened. But the reduction of the garbage of the citizens is not examined.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent garbage classification method, a man-machine interaction module and a system, so that garbage thrown by citizens is weighed and recorded on the basis of classifying the garbage, and therefore the garbage reduction assessment of the citizens is realized.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides an intelligent garbage classification method, which is applicable to an intelligent garbage classification system, where the intelligent garbage classification system includes a human-computer interaction module and a garbage storage bin, which are in communication with each other. The intelligent garbage classification method comprises the following steps:
the man-machine interaction module receives the selection of a storage mode of a user;
if the user selects the unclassified mode, the man-machine interaction module executes the following steps:
sending an instruction to trigger the garbage storage bin to be opened, wherein the garbage storage bin receives garbage to be classified put by a user;
weighing the garbage to be classified, and recording the total weight of the garbage to be classified;
classifying and storing the garbage to be classified by adopting an unclassified process;
if the user selects the classified mode, the man-machine interaction module executes the following steps:
entering a detailed category interface, wherein the detailed category interface comprises a plurality of small categories;
receiving a selection of a user for a small category to open the garbage storage bin, wherein the garbage storage bin receives initial classified garbage put by the user;
weighing the initial classified garbage, and recording the total weight of the initial classified garbage;
and classifying the initial classified garbage by adopting a detailed classification process, storing the garbage which accords with the small category, and classifying the garbage which does not accord with the small category by adopting an unclassified process.
As a specific implementation manner of the present application, the classifying and storing of the garbage to be classified by using an unclassified process specifically includes:
classifying the garbage to be classified, weighing the classified garbage, and recording a classification result and the weight of the classified garbage;
and storing various classified garbage into corresponding classification bins.
As a specific implementation manner of the present application, the classifying the initial classification garbage by using a detailed classification process specifically includes:
and classifying the initial classified garbage by adopting a dichotomy method to obtain garbage which accords with the small categories and garbage which does not accord with the small categories.
Further, the method further comprises:
weighing the garbage which accords with the small category and the garbage which does not accord with the small category to obtain a first weighing result and a second weighing result;
and calculating the accuracy of the classification of the citizen garbage according to the first weighing result and the second weighing result.
Further, the method further comprises:
the man-machine interaction module acquires all user behaviors in the garbage classification process, calculates points according to the user behaviors and returns the points to the user.
Further, before the human-computer interaction module receives a selection of a logging mode of a user, the method further includes:
and the human-computer interaction module receives the certificate swiping or face swiping operation of a user so as to enter the intelligent garbage classification system.
In a second aspect, an embodiment of the present invention provides a human-computer interaction module, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method according to the first aspect.
In a third aspect, an embodiment of the present invention further provides an intelligent garbage classification system, including a human-computer interaction module and a garbage storage bin, which are in communication with each other. Wherein the human-computer interaction module is as described in the second aspect.
By implementing the embodiment of the invention, the man-machine interaction module classifies the garbage according to different modes (unclassified mode and classified mode) selection of the user and records the weight of the garbage thrown by citizens; namely, the embodiment of the invention carries out weighing record on the garbage thrown by the citizen on the basis of classifying the garbage, thereby realizing the garbage reduction assessment of the citizen.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below.
FIG. 1 is a schematic flow chart of an intelligent garbage classification method provided by an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent garbage classification system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of the human-computer interaction module in fig. 2.
Detailed Description
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, 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.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Referring to fig. 1, an intelligent garbage classification method according to a first embodiment of the present invention is applicable to an intelligent garbage classification system, where the intelligent garbage classification system includes a human-computer interaction module and a garbage storage bin, which are in communication with each other. As shown in fig. 1, the intelligent garbage classification method includes:
and S1, the citizen swipes the identity card or swipes the face to enter the intelligent garbage classification system.
Specifically, the human-computer interaction module receives a certificate swiping or face swiping operation of a citizen (user) to enter the intelligent garbage classification system. It should be noted that in this step, the intelligent garbage classification system can be understood as an intelligent garbage classification bank terminal.
S2, if the unclassified mode is selected, go to step S3 if yes, otherwise go to step S6.
Specifically, after entering the intelligent garbage classification bank terminal, the citizen operates the human-computer interaction module, and selects an unclassified mode if the citizen does not know which type of garbage to be thrown into, and selects a classified mode if the type of garbage is already classified.
And S3, opening the garbage storage bin door, and putting the garbage into the garbage by the user.
Specifically, after the citizen selects the unclassified mode, the human-computer interaction module sends an instruction to trigger the garbage storage bin to be opened, and the user puts garbage into the uncovered storage bin and puts the garbage into the storage bin.
S4, the hatch is closed, the inserted waste is weighed, and the weight is recorded.
Specifically, the cabin door is closed, the man-machine interaction module weighs garbage, and the total weight of the garbage is recorded, so that the garbage weight reduction method is used for checking the citizen garbage reduction.
And S5, classifying and storing the garbage by adopting an unclassified flow.
Specifically, the human-computer interaction module enters an unclassified flow, classifies the garbage according to classification categories, weighs various classified garbage, records classification results and the weight of the classified garbage, and finally stores various classified garbage into corresponding classification bins.
S6, entering a detailed category interface, and selecting a specific small category by the user.
Specifically, the human-computer interaction module enters a detailed category interface which comprises a plurality of small categories, and the user selects one of the small categories.
And S7, opening the garbage storage bin door and putting garbage into the bin by the user.
Specifically, after the user selects a specific small category, the human-computer interaction module sends an instruction to open the garbage storage bin, and the user puts garbage into the uncovered storage bin and the storage bin.
And S8, closing the cabin door, weighing the garbage and recording the weight of the garbage.
Specifically, the cabin door is closed, the man-machine interaction module weighs garbage, and the total weight of the garbage is recorded, so that the garbage weight reduction method is used for checking the citizen garbage reduction.
And S9, classifying the garbage by adopting a detailed classification flow.
And S10, weighing the garbage which does not conform to the small category, and calculating the accuracy of classification of the citizen garbage.
Specifically, classifying the initial classified garbage by adopting a dichotomy method to obtain garbage which accords with the small categories and garbage which does not accord with the small categories;
weighing the garbage which accords with the small category and the garbage which does not accord with the small category to obtain a first weighing result and a second weighing result;
and calculating the accuracy of the classification of the citizen garbage according to the first weighing result and the second weighing result.
For example, if the first weighing result is x1 and the second weighing result is x2, the accuracy of garbage classification is p ═ x1/(x1+ x 2).
And S11, storing the garbage which conforms to the small category.
And S12, sending the garbage which does not conform to the small category to an unclassified flow for classification.
Furthermore, the intelligent garbage classification method also comprises the steps that the human-computer interaction module can automatically identify whether the garbage storage bin is full, if the garbage storage bin is full, the human-computer interaction module can pack and clear the bin in time, and simultaneously inform the garbage recovery end of recovery and transfer treatment. And the whole garbage classification process is carried out in a whole sterile way.
According to the garbage classification method provided by the embodiment of the invention, the man-machine interaction module classifies garbage according to different modes (an unclassified mode and a classified mode) of a user, and records the weight of the garbage thrown by citizens; namely, the embodiment of the invention carries out weighing record on the garbage thrown by the citizen on the basis of classifying the garbage, thereby realizing the garbage reduction assessment of the citizen.
Based on the same inventive concept, the embodiment of the invention also provides an intelligent garbage classification system. As shown in fig. 2, the system includes a human-machine interaction module 100 and a garbage bin 200.
Further, as shown in fig. 3, the human-computer interaction module 100 may include: one or more processors 101, one or more input devices 102, one or more output devices 103, and memory 104, the processors 101, input devices 102, output devices 103, and memory 104 being interconnected via a bus 105. The memory 104 is used for storing a computer program comprising program instructions, the processor 101 being configured for invoking the program instructions for performing the methods of the above-described method embodiment parts.
It should be understood that, in the embodiment of the present invention, the Processor 101 may be a Central Processing Unit (CPU), and the Processor may also be other general processors, 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, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 102 may include a keyboard or the like, and the output device 103 may include a display (LCD or the like), a speaker, or the like.
The memory 104 may include read-only memory and random access memory, and provides instructions and data to the processor 101. A portion of the memory 104 may also include non-volatile random access memory. For example, the memory 104 may also store device type information.
In a specific implementation, the processor 101, the input device 102, and the output device 103 described in the embodiment of the present invention may execute the implementation manner described in the embodiment of the intelligent garbage classification method provided in the embodiment of the present invention, and details are not described herein again.
It should be noted that, regarding the specific work flow of the system in this embodiment, please refer to the foregoing method embodiment, which is not described herein again.
According to the garbage classification system, the man-machine interaction module classifies garbage according to different modes (unclassified mode and classified mode) selection of a user, and the weight of the garbage thrown by citizens is recorded; namely, the embodiment of the invention carries out weighing record on the garbage thrown by the citizen on the basis of classifying the garbage, thereby realizing the garbage reduction assessment of the citizen.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. An intelligent garbage classification method is suitable for an intelligent garbage classification system, the intelligent garbage classification system comprises a man-machine interaction module and a garbage storage bin which are communicated with each other, and the intelligent garbage classification method is characterized by comprising the following steps:
the man-machine interaction module receives the selection of a storage mode of a user;
if the user selects the unclassified mode, the man-machine interaction module executes the following steps:
sending an instruction to trigger the garbage storage bin to be opened, wherein the garbage storage bin receives garbage to be classified put by a user;
weighing the garbage to be classified, and recording the total weight of the garbage to be classified;
classifying and storing the garbage to be classified by adopting an unclassified process;
if the user selects the classified mode, the man-machine interaction module executes the following steps:
entering a detailed category interface, wherein the detailed category interface comprises a plurality of small categories;
receiving a selection of a user for a small category to open the garbage storage bin, wherein the garbage storage bin receives initial classified garbage put by the user;
weighing the initial classified garbage, and recording the total weight of the initial classified garbage;
and classifying the initial classified garbage by adopting a detailed classification process, storing the garbage which accords with the small category, and classifying the garbage which does not accord with the small category by adopting an unclassified process.
2. The intelligent garbage classification method according to claim 1, wherein the classification and storage of the garbage to be classified by adopting an unclassified process specifically comprises:
classifying the garbage to be classified, weighing the classified garbage, and recording a classification result and the weight of the classified garbage;
and storing various classified garbage into corresponding classification bins.
3. The intelligent garbage classification method according to claim 1, wherein the classifying the initial classification garbage by using a detailed classification process specifically comprises:
and classifying the initial classified garbage by adopting a dichotomy method to obtain garbage which accords with the small categories and garbage which does not accord with the small categories.
4. The intelligent garbage classification method of claim 3, further comprising:
weighing the garbage which accords with the small category and the garbage which does not accord with the small category to obtain a first weighing result and a second weighing result;
and calculating the accuracy of the classification of the citizen garbage according to the first weighing result and the second weighing result.
5. The intelligent garbage classification method according to any one of claims 1-4, characterized in that the method further comprises:
the man-machine interaction module acquires all user behaviors in the garbage classification process, calculates points according to the user behaviors and returns the points to the user.
6. The intelligent garbage classification method of claim 5, wherein before the human-computer interaction module receives a user selection of a logging mode, the method further comprises:
and the human-computer interaction module receives the certificate swiping or face swiping operation of a user so as to enter the intelligent garbage classification system.
7. A human-computer interaction module comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of claim 5.
8. An intelligent waste classification system comprising a human-machine interaction module and a waste storage bin in communication with each other, wherein the human-machine interaction module is according to claim 7.
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| CN201911060488.6A CN110826995A (en) | 2019-11-01 | 2019-11-01 | Intelligent garbage classification method, human-computer interaction module and system |
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| CN114348487A (en) * | 2022-01-17 | 2022-04-15 | 东营小蓝桶互联网信息技术有限公司 | Internet-based garbage classification method and system |
| CN114955290A (en) * | 2021-06-17 | 2022-08-30 | 张家港翔龙数字科技有限公司 | Garbage classification and delivery system |
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| CN114955290A (en) * | 2021-06-17 | 2022-08-30 | 张家港翔龙数字科技有限公司 | Garbage classification and delivery system |
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