CN113344227A - Intelligent learning system and method for garbage classification - Google Patents

Intelligent learning system and method for garbage classification Download PDF

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CN113344227A
CN113344227A CN202110579707.2A CN202110579707A CN113344227A CN 113344227 A CN113344227 A CN 113344227A CN 202110579707 A CN202110579707 A CN 202110579707A CN 113344227 A CN113344227 A CN 113344227A
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garbage
user
dimensional code
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bag
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CN113344227B (en
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赵彬
王天义
肖诚斌
王馥郁
李昕
陈亚明
刘娟娟
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Everbright Envirotech China Ltd
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Abstract

The system comprises a processor, a touch screen and a two-dimensional code scanning device, wherein the processor is used for: controlling the touch screen to display the first two-dimensional code so as to register or log in; controlling the touch screen to display the second two-dimensional code so as to purchase the garbage bag; receiving the garbage type corresponding to the garbage bag selected by the user; controlling the touch screen to display a garbage legend, and receiving the operation of dragging the garbage legend to a garbage bag by a user; controlling the touch screen to display a third two-dimensional code on the garbage bag so as to bind the garbage bag; controlling a touch screen to display a plurality of classified garbage bins and receiving a selection instruction of a user; controlling a user side to display the garbage bags, and scanning the two-dimensional codes on the garbage bags through a two-dimensional code scanning device to open the classification garbage can; receiving the operation that a user drags the garbage bag to the garbage can to finish garbage throwing; and calculating the accumulated integral according to the garbage throwing behavior of the user, and displaying the accumulated integral on the touch screen. The system and the method can cover the whole garbage classification process.

Description

Intelligent learning system and method for garbage classification
Technical Field
The present invention generally relates to the field of garbage classification, and more particularly to an intelligent learning system and method for garbage classification.
Background
With the improvement of living standard and the development of productivity of people, the garbage production amount is increasing, the living environment state is deteriorating, and the implementation of garbage classification is urgent. The garbage classification is a method for effectively and scientifically disposing the garbage, and the push of the garbage classification standard marks the reform of the traditional garbage collection disposal mode. The garbage classification management can reduce the garbage landfill treatment capacity to a great extent, thereby greatly reducing the land erosion and the soil pollution, and can make full use of the recoverable part in the garbage to change waste into valuable.
The garbage classification is an activity participated by the whole population, and the popularization of the garbage classification is also very important. The existing garbage classification propaganda mode is mainly characterized in that a poster, a propaganda manual, a television advertisement and the like are propagated, and for a user, the mode is limited to visual impression, the garbage classification full-flow experience cannot be achieved, and the garbage classification propaganda mode is dull in content, single in form and lack of interestingness.
Disclosure of Invention
In this summary, concepts in a simplified form are introduced that are further described in the detailed description. This summary of the application is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
An aspect of an embodiment of the present invention provides an intelligent learning system for garbage classification, where the system includes a processor, a touch screen, and a two-dimensional code scanning device, where the processor is configured to:
controlling the touch screen to display a first two-dimensional code, and prompting a user to scan the first two-dimensional code through a user terminal to register or log in;
controlling the touch screen to display a second two-dimensional code and prompting a user to purchase a garbage bag by scanning the second two-dimensional code;
controlling the touch screen to display the garbage bags purchased by the user, and receiving the garbage types corresponding to the garbage bags selected by the user through the touch screen;
controlling the touch screen to display a garbage legend, receiving the operation of dragging the garbage legend to the garbage bag by a user through the touch screen, and confirming whether the garbage legend dragged by the user is consistent with the garbage type corresponding to the garbage bag;
controlling the touch screen to display a third two-dimensional code on the garbage bag, and prompting a user to bind the garbage bag by scanning the third two-dimensional code;
controlling the touch screen to display a plurality of classified garbage bins and receiving a selection instruction of a user for the classified garbage bins through the touch screen;
controlling the user side to display a garbage bag bound with a user, and scanning a two-dimensional code on the garbage bag displayed on the user side through the two-dimensional code scanning device to open a classification garbage box selected by the user;
controlling the touch screen to display a classified garbage can selected by a user and a garbage bag bound with the user, and receiving the operation that the user drags the garbage bag to the garbage can to finish garbage throwing;
and calculating an accumulated integral according to the garbage throwing behavior of the user, and controlling the touch screen to display the garbage throwing behavior of the user and the accumulated integral.
In one embodiment, after the user scans the first two-dimensional code through the user terminal to register or log in, and before controlling the touch screen to display the second two-dimensional code, the processor is further configured to: displaying the garbage classification learning rule; and acquiring the current points of the user, and deducting a preset number of points from the current points to be used as the entrance ticket for the garbage classification learning.
In one embodiment, the processor is further configured to: a predetermined number of points are deducted based on the number of bags purchased by the user.
In one embodiment, after the user purchases the trash bag by scanning the second two-dimensional code, before the user-selected trash type corresponding to the trash bag is received through the touch screen, the processor is further configured to: and displaying a lottery drawing page and randomly drawing the bonus points.
In one embodiment, the calculating the accumulated points according to the user's garbage throwing behavior includes: when it is determined that the user selects an incorrect garbage legend or an incorrect classification garbage bin, deducting a part of points from the point awards, and taking the remaining points as the accumulated points.
In one embodiment, the processor is further configured to: and controlling the touch screen to change the style of the garbage bag according to the garbage type corresponding to the garbage bag selected by the user.
In one embodiment, when a user purchases a plurality of trash bags, the controlling the touch screen to display the sorted trash box selected by the user and the trash bags bound with the user includes: when the two-dimensional code scanning device scans the two-dimensional code on one garbage bag, the touch screen is controlled to display one garbage bag, and meanwhile, one garbage bag is reduced on the display interface of the user side.
In one embodiment, the system further comprises a cloud server for storing the identity information and the point information of the user.
Another aspect of the embodiments of the present invention provides an intelligent learning method for garbage classification, including:
displaying the first two-dimensional code, and prompting a user to scan the first two-dimensional code through a user terminal to register or log in;
displaying the second two-dimension code, and prompting a user to purchase a garbage bag by scanning the second two-dimension code;
displaying the garbage bags purchased by a user, and receiving the garbage type corresponding to the garbage bag selected by the user;
displaying a garbage legend, receiving the operation that a user drags the garbage legend to the garbage bags, and confirming whether the garbage legend dragged by the user is consistent with the garbage types corresponding to the garbage bags;
displaying a third two-dimensional code on the garbage bag, and prompting a user to bind the garbage bag by scanning the third two-dimensional code;
displaying a plurality of classified garbage bins and receiving a selection instruction of a user for the classified garbage bins;
displaying a garbage bag bound with a user at a user end, and scanning a two-dimensional code on the garbage bag displayed on the user end through a two-dimensional code scanning device to open a classification garbage box selected by the user;
displaying a classification garbage can selected by a user and a garbage bag bound with the user, and receiving the operation that the user drags the garbage bag to the garbage can to finish garbage throwing;
and calculating an accumulated point according to the garbage throwing behavior of the user, and displaying the garbage throwing behavior of the user and the accumulated point.
In one embodiment, after the user scans the first two-dimensional code through the user terminal to register or log in, before displaying the second two-dimensional code, the method further comprises: displaying the garbage classification learning rule; and acquiring the current points of the user, and deducting a preset number of points from the current points to be used as the entrance ticket for the garbage classification learning.
In one embodiment, the method further comprises: a predetermined number of points are deducted based on the number of bags purchased by the user.
In one embodiment, after the user purchases the trash bag by scanning the second two-dimensional code, before receiving the trash type corresponding to the trash bag selected by the user, the method further includes: and displaying a lottery drawing page and randomly drawing the bonus points.
In one embodiment, the calculating the accumulated points according to the user's garbage throwing behavior includes: when it is determined that the user selects an incorrect garbage legend or an incorrect classification garbage bin, deducting a part of points from the point awards, and taking the remaining points as the accumulated points.
In one embodiment, the method further comprises: and transforming the style of the garbage bag according to the garbage type corresponding to the garbage bag selected by the user.
In one embodiment, when the user purchases a plurality of trash bags, the displaying the sorted trash boxes selected by the user and the trash bags bound with the user includes: every time the two-dimensional code scanning device scans the two-dimensional code on one garbage bag, one garbage bag is displayed, and meanwhile, one garbage bag is reduced on the display interface of the user side.
The intelligent learning system and method for garbage classification provided by the embodiment of the invention can cover the whole garbage classification process, and are beneficial to training the garbage classification habit of a user.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
FIG. 1 is a schematic block diagram of a garbage classification intelligent learning system of one embodiment of the present invention;
FIG. 2 is a schematic diagram of a garbage classification learning process of the intelligent garbage classification learning system according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of the intelligent learning method for garbage classification according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of embodiments of the invention and not all embodiments of the invention, with the understanding that the invention is not limited to the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the invention described herein without inventive step, shall fall within the scope of protection of the invention.
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in order to avoid obscuring the invention.
It is to be understood that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, 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. As used herein, the term "and/or" includes any and all combinations of the associated listed items.
In order to provide a thorough understanding of the present invention, a detailed structure will be set forth in the following description in order to explain the present invention. Alternative embodiments of the invention are described in detail below, however, the invention may be practiced in other embodiments that depart from these specific details.
The existing garbage classification learning system mainly utilizes a mechanical structure to design matching of a garbage model and garbage types, simulates garbage classification putting and judges whether user putting is correct or not, and can not well cultivate the garbage classification habit of users in actual life.
For example, a garbage classification learning system includes image analysis and voice interaction, and can recognize classifications of determined garbage and prompt a user how to classify garbage, providing a user with garbage classification assistance. The garbage classification learning system stores and calculates data through the upper computer, so that a user can put actual garbage at the position of the sensor and match the garbage classification through image recognition, or the user can recognize and match the garbage classification through voice description to obtain the garbage type. And after the garbage type is obtained, sending an instruction again, and executing the uncovering operation of the garbage can. The garbage classification learning machine determines the garbage types through image analysis and voice recognition, needs a long time, cannot ensure the recognition accuracy, is only limited to single garbage throwing, and is not suitable for the garbage throwing of daily life of residents.
For another example, a children garbage classification toy replaces actual garbage with a plastic model, a chassis is provided with a storage chamber and a taking and placing opening, the taking and placing opening is provided with an open cover and is communicated with the storage chamber, the garbage model is conveyed to a classification recycling bin through a conveying assembly, and a motor and a transmission assembly are controlled through a start-stop button. The garbage classification toy has the advantages that the garbage classification toy can replace garbage articles to realize the learning and the practice of children on garbage classification, the garbage classification is a movement participated by people, the garbage classification toy for children is only used for children, the garbage classification popularization is limited, the garbage model is easy to lose when the garbage model is used, and the maintenance cost is high.
In addition, some preschool education educational models utilize the rubbish card in the card box to replace actual rubbish, put in the fan-shaped rubbish receiver of matcing, rotate the receiver through the motor to set up the fixed seat of a plurality of children, children only need wait for corresponding rubbish receiver to before oneself, put into corresponding receiver with the rubbish card in can. The preschool education intelligence-benefiting model has the advantages of single game mode, simple flow, no interest, easy card loss caused by replacing a garbage model with a card and larger occupied area.
Still some rubbish classification game machines are the form of bowling games, and the user takes out the spheroid that represents rubbish type from the ball pond and throws it in corresponding passageway, can discern the correct mistake that the spheroid was thrown through the chip response, and the record mark. The garbage classification game machine realizes garbage classification in a pitching mode, but has the advantages of large occupied area, single game mode, incapability of enabling users who are not skilled in pitching to participate in pitching games and no universality.
In summary, the existing garbage classification learning system, whether mechanical or non-mechanical, cannot cover the whole garbage classification flow and fit the actual garbage classification behavior.
For a mechanical garbage classification learning system, the interest design of a garbage classification game is in direct proportion to the complexity of the mechanical structure design. The more complicated the mechanical structure design, the more ingenious the connection, the stronger the interest, and simultaneously, the failure rate can be improved, and the maintenance cost is increased. The garbage classification learning system designed by using a mechanical structure usually uses spheres, cards and the like for object matching, and has the advantages of single carrier, poor transportability and incapability of adjustment; and the loss or damage of the carrier is easily caused, the service life is reduced, and the maintenance cost is increased.
The garbage classification system with the non-mechanical structure mainly identifies the garbage types through an algorithm, can only identify the appearances of single garbage, and is not in line with the garbage putting condition in real life. In addition, the method is limited by the calculation level of the algorithm, the garbage throwing time is long, and the accuracy cannot be guaranteed.
In view of the above problem, an embodiment of the present invention provides an intelligent learning system for garbage classification, and referring to fig. 1, an intelligent learning system 100 for garbage classification according to an embodiment of the present invention includes a processor 110, a touch screen 120, and a two-dimensional code scanning device 130, where the processor 110 is configured to: controlling the touch screen 120 to display the first two-dimensional code, and prompting the user to scan the first two-dimensional code through the user terminal 140 to register or log in; controlling the touch screen 120 to display the second two-dimensional code, and prompting the user to purchase the garbage bag by scanning the second two-dimensional code; controlling the touch screen 120 to display the garbage bags purchased by the user, and receiving the garbage types corresponding to the garbage bags selected by the user through the touch screen 120; controlling the touch screen 120 to display a garbage legend, receiving an operation of dragging the garbage legend to a garbage bag by a user through the touch screen 120, and confirming whether the garbage legend dragged by the user is consistent with the garbage type corresponding to the garbage bag; controlling the touch screen 120 to display the third two-dimensional code on the garbage bag, and prompting a user to bind the garbage bag by scanning the third two-dimensional code; controlling the touch screen 120 to display a plurality of classified garbage bins, and receiving a selection instruction of a user for the classified garbage bins through the touch screen 120; controlling the user terminal 140 to display the garbage bags bound with the user, and scanning the two-dimensional codes on the garbage bags displayed on the user terminal 140 through the two-dimensional code scanning device 130 to open the classification garbage box selected by the user; controlling the touch screen 120 to display the classified garbage can selected by the user and the garbage bag bound with the user, and receiving an operation of dragging the garbage bag to the garbage can by the user to complete garbage throwing; and calculating the accumulated points according to the garbage throwing behaviors of the user, and controlling the touch screen 120 to display the garbage throwing behaviors and the accumulated points of the user.
The intelligent learning system 100 for garbage classification can provide complete garbage classification and putting experience for users in all ages, and comprises the steps of purchasing garbage bags, binding the garbage bags by the users, classifying the garbage, scanning and opening the garbage box, identifying the classification by mistake and confirming putting results, so that the users experience the whole garbage classification process through interactive experience, and the whole process of the interactive experience is consistent with the actual garbage classification putting process, thereby solving the problems of few garbage classification learning channels, single form, low efficiency, low user viscosity and insufficient participation sense of the learning device; compared with the general garbage classification learning device which teaches the knowledge of how to classify users by matching garbage and garbage types, the intelligent garbage classification learning system 100 of the embodiment of the invention focuses more on the cultivation and training of the users to the specific behavior habit of garbage classification, so that the users can quickly develop the habit of garbage classification.
The processor 110 may be, among other things, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the intelligent learning system for garbage classification 100 to perform desired functions. For example, the processor 110 may include one or more embedded processors, processor cores, microprocessors, logic circuits, hardware Finite State Machines (FSMs), Digital Signal Processors (DSPs), or a combination thereof. The processor 110 may be configured with a garbage classification learning application as a medium, and the touch screen 120 is used as a carrier, so that a user can operate the touch screen 120 to perform a full-flow experience on garbage classification, and view a garbage classification science popularization teaching video, a use course, and the like on the touch screen 120. The user can learn the knowledge of the garbage classification in the interactive experience, learn the garbage classification through the immersive experience, and increase the participation and completion of the user through measures such as bonus points and the like. The intelligent learning system 100 for garbage classification in the embodiment of the invention replaces a complex mechanical structure through a software carrier, has portability, can modify garbage types at any time, and can modify the quantity of garbage types according to local garbage classification requirements, so that both coarse classification and finer classification can be realized.
Referring to fig. 2, fig. 2 shows a garbage classification learning process of the intelligent learning system 100 for garbage classification according to an embodiment of the present invention.
Specifically, the processor 110 first controls the touch screen 120 to display the first two-dimensional code, and prompts the user to scan the first two-dimensional code through the user end to register or log in, thereby completing the binding of the identity information. The prompt may be a prompt displayed on the touch screen 120 or may be a voice prompt. The user side includes, but is not limited to, a mobile phone, a tablet computer, and the like. When a user experiences the intelligent learning system 100 for garbage classification for the first time, code scanning registration is needed, the processor 110 stores the identity information of the user into the cloud server 150, and the cloud server 150 is used for storing the identity information and the point information of the user; and when the user experiences again, the first two-dimension code can be scanned for login.
After the user logs in, the processor 110 controls the touch screen 120 to display the garbage classification learning rule. The processor 110 acquires the current points of the user from the cloud server, and then the processor 110 controls the touch screen 120 to inquire whether the user spends the points to purchase 'tickets', and after the user determines, a predetermined number of points are deducted from the current points to be used as tickets for the garbage classification learning. And after the garbage classification learning process is completed, the cloud server updates the current points of the users each time the users complete the garbage classification learning process.
After deducting a certain point to serve as an entrance ticket, the processor 110 controls the touch screen 120 to enter a code scanning and bag purchasing interface, and at the moment, the processor 110 controls the touch screen 120 to display the second two-dimensional code to prompt the user to purchase the garbage bag by scanning the second two-dimensional code. The user can scan the second two-dimensional code displayed on the touch screen 120 through the user side, select the number of the purchased garbage bags, and can purchase one garbage bag at a time or a plurality of garbage bags, for example, five garbage bags can be purchased at most in sequence. The user is charged points for purchasing the trash bags and the processor 110 is further configured to deduct a predetermined number of points based on the number of trash bags purchased by the user. The behavior of scanning the code to simulate the garbage bag purchasing is consistent with the behavior of scanning the code to purchase the garbage bag in real life, and the displayed garbage bag is a general garbage bag used in the display life.
After the user purchases the trash bag, the processor 110 controls the touch screen 120 to display a lottery page and randomly draw the bonus points. The virtual lottery wheel disc is displayed on the lottery interface, and the award information is randomly shaken out of the prize pool, wherein the awards in the prize pool can comprise cash awards and point awards with different money amounts. The setting of the prize pool can be dynamically adjusted, and cash-back and point distribution can be adjusted at any time according to cash-back force and investment budget. For example, the bonus information cannot be opened on the lottery page, requiring the user to open the bonus after completing the process. In other embodiments, reward information may also be displayed to the user, but the reward may be issued to the user after the user has completed the procedure. The processor 110 may also control the touch screen 120 to display the lottery page at other stages, such as before the user purchases a trash bag.
The processor 110 then controls the touch screen 120 to display the trash bags purchased by the user, and receives the trash type corresponding to the trash bag selected by the user through the touch screen, that is, which type of trash the user wishes to contain with the trash bag. The touch screen 120 displays that the user purchases all the garbage bags, one garbage bag is displayed if the user purchases one garbage bag, and a plurality of garbage bags are displayed if the user purchases a plurality of garbage bags, and the user can select the garbage type corresponding to each garbage bag in turn.
Illustratively, the processor 110 is further configured to control the touch screen 120 to transform the style of the trash bag according to the trash type corresponding to the trash bag selected by the user. For example, the trash bags may change color based on the type of trash for the user to distinguish. Of course, in actual use, the garbage bag is a general garbage bag, and the color change is only used as an illustration, so that the garbage bag is convenient for a user to distinguish.
Then, the processor 110 controls the touch screen 120 to display the garbage legend, receives an operation of dragging the garbage legend to the garbage bag by the user through the touch screen 120, and confirms whether the garbage legend dragged by the user is consistent with the garbage type corresponding to the garbage bag. The touch screen 120 displays different garbage legends, and the garbage legends are consistent with the garbage legends commonly found in daily life. The user needs to select the garbage legend which is consistent with the garbage type corresponding to each garbage bag, and the garbage legends are dragged to be sequentially and respectively loaded into the purchased garbage bags, so that the garbage classification behavior is completed. After the selection is completed, the garbage bag is in a tying state. The user's act of dragging the junk legend will affect the amount of credit cashback, e.g., the original award will be reduced by ten percent for each wrong selection by the user.
Then, the processor 110 controls the touch screen 120 to display the third two-dimensional code on the trash bag, and prompts the user to bind the trash bag by scanning the third two-dimensional code. After the binding is completed, the control client 140 displays the garbage bags bound with the user. Specifically, the touch screen 120 displays the classified garbage bags filled with bags, the third two-dimensional code is displayed on the garbage bags, and the user scans the two-dimensional code on the garbage bags through a user side such as a mobile phone or a tablet computer to complete the binding of the garbage bags and the user identity. If the user purchases one disposal bag, one disposal bag is displayed, and if the user purchases a plurality of disposal bags, a plurality of disposal bags are displayed. For a single garbage bag, binding is completed only by scanning the two-dimensional code of the single garbage bag, and at this time, the user terminal 140 displays the bound single garbage bag, and the garbage bag has the two-dimensional code, so that the user terminal 140 is equivalent to a garbage bag bound with a good identity. For a plurality of garbage bags, the user can complete the binding of all garbage bags by scanning any one garbage bag, at this time, the user terminal 140 displays a plurality of garbage bags, each garbage bag has a two-dimensional code, and the user terminal 140 is equivalent to a plurality of garbage bags with well bound identities. The process of code scanning and garbage bag binding is consistent with the process of binding the garbage bags by users in actual life, the actual process is completely simulated, the users in actual life need to scan the garbage bags by the user end 140 to complete identity binding, and then the garbage bags are used for code scanning and putting.
Then, the processor 110 controls the touch screen 120 to display a plurality of classified garbage boxes, and receives a selection instruction of a user for the classified garbage boxes through the touch screen 120, and the user needs to select the classified garbage box on the touch screen, which is consistent with the type of the garbage bag. Then, the touch screen 120 prompts the user to scan the codes to open the trash bin, and the two-dimensional code on the trash bag displayed on the user terminal 140 is scanned by the two-dimensional code scanning device 130 to open the sorted trash bin selected by the user. The processor 110 controls the touch screen 120 to display the classified trash can selected by the user and the trash bag bound to the user, and receives an operation of dragging the trash bag to the trash can by the user to complete trash throwing.
If the user purchases a single garbage bag, the user only needs to align the two-dimensional code on the garbage bag displayed on the user terminal 140 with the two-dimensional code scanning device 130, after the code scanning is successful, the garbage bag which is just scanned is displayed on the touch screen 120, the throwing port of the lower classified garbage can is displayed in an open state, and the user drags the garbage bag into the throwing port on the touch screen 120 to finish the throwing. If the user purchases a plurality of garbage bags, the user needs to click the garbage bags on the user end 140 in sequence, and the garbage bags displayed on the user end 140 become larger at the moment so as to be convenient for code scanning. Then, the user aligns the selected trash bags with the two-dimensional code scanning device 130, sequentially scans the codes and puts the selected trash bags, and every time the selected trash bags are put, the trash bags displayed on the user side 140 disappear one by one until the putting of each trash bag is completed. In actual life, a user needs to align the two-dimensional code on the garbage bag with the code scanner on the garbage can and open the door for putting, and the user end 140 replaces the garbage bag to complete code scanning, so that the putting behavior of the user is consistent with the garbage putting behavior in actual life.
Finally, the processor 110 calculates the accumulated points according to the user's garbage throwing behavior, and controls the touch screen 120 to display the user's garbage throwing behavior and accumulated points. The garbage throwing behaviors of the user comprise a behavior that the user selects a garbage legend and a behavior that the user selects a classification garbage can, namely, if the garbage legend selected by the user is inconsistent with the garbage type corresponding to the garbage bag, deducting a certain integral; if the classification garbage box selected by the user is inconsistent with the corresponding garbage type of the garbage bag, a certain integral needs to be deducted. As described above, the processor extracts the point reward from the prize pool, and when it is determined that the user selects an incorrect garbage legend or an incorrect classification garbage box, subtracts a part of the points from the point reward, and takes the remaining points as the accumulated points of the garbage classification learning.
In addition, the user terminal 140 also displays the user's garbage throwing behavior record and accumulated points, and the user can view the garbage throwing behavior record and the points account at the user terminal 140. In actual life, after completing garbage putting, the user also checks the garbage putting behavior records and the like at the same entrance in the user side.
Based on the above description, the intelligent learning system for garbage classification in the embodiment of the present invention has at least the following advantages:
(1) the whole garbage classification process is covered, a simplified mechanical structure design is adopted, a user can experience the whole garbage classification process in interaction with a touch screen, the whole garbage classification process is covered, the garbage classification process comprises purchasing of garbage bags, garbage classification and garbage putting, the popularization of garbage classification knowledge is achieved, and the cultivation of garbage classification habits is achieved;
(2) the system is bound with personal information of a user, records classification behaviors of the user one by one, promotes real-name system and traceability of garbage classification, and provides technical support for who produces waste and pays;
(3) before entering garbage classification learning, collecting points as entrance tickets, and driving users to actively and actively finish garbage classification learning experience by means of small and large hearts of the users; the garbage classification legends experienced by the user at each time are different, the rewards experienced at each time are also different, and the interest and the normalization of garbage classification learning can be enhanced by increasing the randomness in the interaction process;
(4) the system of the invention adopts a mode of combining software and hardware, the software bears the main support of the garbage classification system, and the hardware is used as a carrier of the software, thereby greatly simplifying mechanical mechanisms and simultaneously improving the interestingness;
(5) the software and hardware configuration is flexible, the garbage classification and throwing experience can be finished through interaction between a user and a screen without a garbage physical model, the model loss is not required to be worried, the reliability is high, and the durability is strong;
(6) the steps of the intelligent garbage classification learning system are almost consistent with the actual process, the full flow of actual garbage classification behaviors, garbage putting behaviors and the like is fully simulated, and a user can learn and experience the garbage classification process in the intelligent garbage classification learning system;
(7) the garbage classification process is experienced in a multi-terminal interaction mode, and the multi-terminal cooperation of the user terminal and the garbage classification learning system terminal guides the learning behavior of the user and feeds back the learning result; the user side can comprise a mobile phone, a tablet personal computer of various systems and the like, and the interaction mode is flexible and diversified and is not limited;
(8) unattended operation, automatic operation all day long, and low maintenance cost.
The embodiment of the invention also provides an intelligent learning method for garbage classification, which can be realized by the intelligent learning system for garbage classification. FIG. 3 shows a flow diagram of a garbage classification intelligent learning method 300 according to one embodiment of the invention. As shown in fig. 3, the intelligent learning method 300 for garbage classification includes the following steps:
in step S310, displaying the first two-dimensional code, and prompting the user to scan the first two-dimensional code through the user terminal to register or log in;
in step S320, displaying a second two-dimensional code, and prompting a user to purchase a trash bag by scanning the second two-dimensional code;
in step S330, displaying the trash bags purchased by the user, and receiving the trash type corresponding to the trash bag selected by the user;
in step S340, displaying a garbage legend, receiving an operation of dragging the garbage legend to the garbage bags by a user, and determining whether the garbage legend dragged by the user is consistent with the garbage types corresponding to the garbage bags;
in step S350, displaying a third two-dimensional code on the trash bag, and prompting a user to bind the trash bag by scanning the third two-dimensional code;
in step S360, displaying a plurality of classified garbage bins, and receiving a selection instruction of a user for the classified garbage bins;
in step S370, displaying a trash bag bound with a user at a user end, and scanning a two-dimensional code on the trash bag displayed at the user end by a two-dimensional code scanning device to open a sorting trash bin selected by the user;
in step S380, displaying the classified trash bin selected by the user and the trash bag bound to the user, and receiving an operation of dragging the trash bag to the trash bin by the user to complete trash throwing;
in step S390, an accumulated point is calculated according to the garbage throwing behavior of the user, and the garbage throwing behavior of the user and the accumulated point are displayed.
In one embodiment, after the user scans the first two-dimensional code for registration or login through the user terminal and before displaying the second two-dimensional code, the intelligent learning method for garbage classification 300 further includes: displaying the garbage classification learning rule; and acquiring the current points of the user, and deducting a preset number of points from the current points to be used as the entrance ticket for the garbage classification learning.
In one embodiment, the intelligent learning method for garbage classification 300 further comprises: a predetermined number of points are deducted based on the number of bags purchased by the user.
In one embodiment, after the user scans the second two-dimensional code to purchase the trash bag, before receiving the trash type corresponding to the trash bag selected by the user, the trash classification intelligent learning method 300 further includes: and displaying a lottery drawing page and randomly drawing the bonus points.
In one embodiment, the calculating the accumulated points according to the user's garbage throwing behavior includes: when it is determined that the user selects an incorrect garbage legend or an incorrect classification garbage bin, deducting a part of points from the point awards, and taking the remaining points as the accumulated points.
In one embodiment, the intelligent learning method for garbage classification 300 further comprises: and transforming the style of the garbage bag according to the garbage type corresponding to the garbage bag selected by the user.
In one embodiment, when the user purchases a plurality of trash bags, the displaying the sorted trash boxes selected by the user and the trash bags bound with the user includes: every time the two-dimensional code scanning device scans the two-dimensional code on one garbage bag, one garbage bag is displayed, and meanwhile, one garbage bag is reduced on the display interface of the user side.
Only the main steps of the intelligent learning method 300 for garbage classification are described above, and further details can refer to the above description in the intelligent learning system 100 for garbage classification, which is not described herein again.
Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the foregoing illustrative embodiments are merely exemplary and are not intended to limit the scope of the invention thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present invention. All such changes and modifications are intended to be included within the scope of the present invention as set forth in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present invention should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules according to embodiments of the present invention. The present invention may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims (15)

1. The intelligent learning system for garbage classification is characterized by comprising a processor, a touch screen and a two-dimensional code scanning device, wherein the processor is used for:
controlling the touch screen to display a first two-dimensional code, and prompting a user to scan the first two-dimensional code through a user terminal to register or log in;
controlling the touch screen to display a second two-dimensional code and prompting a user to purchase a garbage bag by scanning the second two-dimensional code;
controlling the touch screen to display the garbage bags purchased by the user, and receiving the garbage types corresponding to the garbage bags selected by the user through the touch screen;
controlling the touch screen to display a garbage legend, receiving the operation of dragging the garbage legend to the garbage bag by a user through the touch screen, and confirming whether the garbage legend dragged by the user is consistent with the garbage type corresponding to the garbage bag;
controlling the touch screen to display a third two-dimensional code on the garbage bag, and prompting a user to bind the garbage bag by scanning the third two-dimensional code;
controlling the touch screen to display a plurality of classified garbage bins and receiving a selection instruction of a user for the classified garbage bins through the touch screen;
controlling the user side to display a garbage bag bound with a user, and scanning a two-dimensional code on the garbage bag displayed on the user side through the two-dimensional code scanning device to open a classification garbage box selected by the user;
controlling the touch screen to display a classified garbage can selected by a user and a garbage bag bound with the user, and receiving the operation that the user drags the garbage bag to the garbage can to finish garbage throwing;
and calculating an accumulated integral according to the garbage throwing behavior of the user, and controlling the touch screen to display the garbage throwing behavior of the user and the accumulated integral.
2. The intelligent learning system for garbage classification as claimed in claim 1, wherein the processor is further configured to, after the user scans the first two-dimensional code for registration or login via the user terminal and before controlling the touch screen to display the second two-dimensional code:
displaying the garbage classification learning rule;
and acquiring the current points of the user, and deducting a preset number of points from the current points to be used as the entrance ticket for the garbage classification learning.
3. The intelligent learning system for garbage classification of claim 1, wherein the processor is further configured to:
a predetermined number of points are deducted based on the number of bags purchased by the user.
4. The intelligent learning system for garbage classification as claimed in claim 1, wherein after the user purchases a garbage bag by scanning the second two-dimensional code, the processor is further configured to, before receiving a garbage type corresponding to the garbage bag selected by the user through the touch screen:
and displaying a lottery drawing page and randomly drawing the bonus points.
5. The intelligent learning system for garbage classification as claimed in claim 4, wherein the calculating of the accumulated points according to the garbage throwing behavior of the user comprises:
when it is determined that the user selects an incorrect garbage legend or an incorrect classification garbage bin, deducting a part of points from the point awards, and taking the remaining points as the accumulated points.
6. The intelligent learning system for garbage classification of claim 1, wherein the processor is further configured to:
and controlling the touch screen to change the style of the garbage bag according to the garbage type corresponding to the garbage bag selected by the user.
7. The intelligent learning system for garbage classification as claimed in claim 1, wherein when the user purchases a plurality of garbage bags, the controlling the touch screen to display the classification garbage box selected by the user and the garbage bags bound with the user comprises:
when the two-dimensional code scanning device scans the two-dimensional code on one garbage bag, the touch screen is controlled to display one garbage bag, and meanwhile, one garbage bag is reduced on the display interface of the user side.
8. The intelligent learning system for garbage classification of claim 1, further comprising a cloud server for storing identity information and point information of the user.
9. An intelligent learning method for garbage classification is characterized by comprising the following steps:
displaying the first two-dimensional code, and prompting a user to scan the first two-dimensional code through a user terminal to register or log in;
displaying the second two-dimension code, and prompting a user to purchase a garbage bag by scanning the second two-dimension code;
displaying the garbage bags purchased by a user, and receiving the garbage type corresponding to the garbage bag selected by the user;
displaying a garbage legend, receiving the operation that a user drags the garbage legend to the garbage bags, and confirming whether the garbage legend dragged by the user is consistent with the garbage types corresponding to the garbage bags;
displaying a third two-dimensional code on the garbage bag, and prompting a user to bind the garbage bag by scanning the third two-dimensional code;
displaying a plurality of classified garbage bins and receiving a selection instruction of a user for the classified garbage bins;
displaying a garbage bag bound with a user at a user end, and scanning a two-dimensional code on the garbage bag displayed on the user end through a two-dimensional code scanning device to open a classification garbage box selected by the user;
displaying a classification garbage can selected by a user and a garbage bag bound with the user, and receiving the operation that the user drags the garbage bag to the garbage can to finish garbage throwing;
and calculating an accumulated point according to the garbage throwing behavior of the user, and displaying the garbage throwing behavior of the user and the accumulated point.
10. The intelligent learning method for garbage classification as claimed in claim 9, wherein after the user scans the first two-dimensional code for registration or login through the user terminal and before displaying the second two-dimensional code, the method further comprises:
displaying the garbage classification learning rule;
and acquiring the current points of the user, and deducting a preset number of points from the current points to be used as the entrance ticket for the garbage classification learning.
11. The intelligent learning method for garbage classification as claimed in claim 9, wherein the method further comprises:
a predetermined number of points are deducted based on the number of bags purchased by the user.
12. The intelligent learning method for garbage classification as claimed in claim 9, wherein after the user scans the second two-dimensional code to purchase garbage bags, before the garbage type corresponding to the garbage bags selected by the user is received, the method further comprises:
and displaying a lottery drawing page and randomly drawing the bonus points.
13. The intelligent learning method for garbage classification as claimed in claim 12, wherein the calculating the accumulated points according to the garbage throwing behaviors of the user comprises:
when it is determined that the user selects an incorrect garbage legend or an incorrect classification garbage bin, deducting a part of points from the point awards, and taking the remaining points as the accumulated points.
14. The intelligent learning method for garbage classification as claimed in claim 9, wherein the method further comprises:
and transforming the style of the garbage bag according to the garbage type corresponding to the garbage bag selected by the user.
15. The intelligent learning method for garbage classification as claimed in claim 9, wherein when the user purchases a plurality of garbage bags, the displaying the classification garbage box selected by the user and the garbage bags bound with the user comprises:
every time the two-dimensional code scanning device scans the two-dimensional code on one garbage bag, one garbage bag is displayed, and meanwhile, one garbage bag is reduced on the display interface of the user side.
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Publication number Priority date Publication date Assignee Title
CN104044842A (en) * 2014-06-23 2014-09-17 陈斌 Garbage sorting platform and method based on two-dimensional code recognition technology
WO2019010935A1 (en) * 2017-07-10 2019-01-17 珠海市云筒环保科技有限公司 Classification disposal system for garbage of urban community
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