CN114408408B

CN114408408B - Human-computer interaction method and device based on accurate classification of recyclable garbage

Info

Publication number: CN114408408B
Application number: CN202210044082.4A
Authority: CN
Inventors: 张准; 黄邦超; 王培州; 李明虔; 林冠铭; 蓬鹏; 吴浅灿; 杨英杰; 徐文昊
Original assignee: South China Normal University
Current assignee: South China Normal University
Priority date: 2022-01-14
Filing date: 2022-01-14
Publication date: 2022-09-02
Anticipated expiration: 2042-01-14
Also published as: CN114408408A

Abstract

The invention belongs to the technical field of recyclable garbage classification, and particularly relates to a human-computer interaction method, device and system based on recyclable garbage accurate classification and a platform thereof. The scheme senses the human body approaching data through the provided method and activates the human-computer interaction system in real time according to the human body approaching data; carrying out refined identification judgment on the recyclable garbage in real time; the recyclable garbage data information is analyzed and processed, a recyclable garbage processing suggestion and a recyclable garbage processing platform are generated in real time, and a corresponding device and a corresponding system are provided, so that the device is convenient to arrange and freely combine in a campus; meanwhile, the self-adaptive learning system of the device strengthens and consolidates the consciousness habit of student garbage fine classification; meanwhile, the point counting system of the device greatly facilitates the school to formulate a reward mechanism, further encourages students to finely classify garbage, and finally can create the atmosphere of finely classifying the garbage of people in the hidden demerit, so that the purpose of changing the garbage into valuables to achieve the purposes of saving energy, reducing emission and beautifying the appearance of the city is achieved.

Description

Human-computer interaction method and device based on recyclable garbage precise classification

Technical Field

The invention belongs to the technical field of recyclable garbage classification, and particularly relates to a human-computer interaction method, device and system based on recyclable garbage accurate classification and a platform thereof.

Background

Along with the continuous improvement of the quality of life of people, the quantity of garbage is gradually increased, in recent years, the people also have an improved awareness of garbage classification in deep-propelled household garbage classification work in China, and most people can accurately classify and throw in recoverable garbage, wet garbage, harmful garbage and other garbage. However, according to investigation, the value of the waste after the refined classification is changed into valuable is multiplied, but more than 90% of the rear end of the current classification treatment system for the municipal waste in China is sorted by manpower, and the cost of the manpower sorting is extremely high. How to make the efficiency of garbage classification higher and make the disposal and utilization of recoverable garbage further optimized. We find that the pressure of a rear-end garbage fine sorting system can be reduced to a certain extent by performing garbage fine sorting at the front end of the garbage sorting. Therefore, the awareness of further arousing people to finely classify garbage is imperative. However, the awareness of garbage refinement classification is not generated by the null, but is formed by the long-term self-constraint implication. Therefore, there is a great need for a less conscious way to finely classify garbage. However, an education method and device for finely classifying the recyclable garbage in the campus are still lacked at present.

Therefore, in order to overcome the above technical defects, it is urgently needed to design and develop a human-computer interaction method, device, system, platform and storage medium thereof based on the accurate classification of recyclable garbage.

Disclosure of Invention

The invention aims to provide a human-computer interaction method based on the accurate classification of recyclable garbage;

the second purpose of the invention is to provide a human-computer interaction device based on the accurate classification of the recyclable garbage;

the third purpose of the invention is to provide a human-computer interaction system based on the accurate classification of the recyclable garbage;

the fourth purpose of the invention is to provide a human-computer interaction platform based on the accurate classification of the recyclable garbage;

the first object of the present invention is achieved by: the method specifically comprises the following steps:

sensing human body approaching data, and activating a human-computer interaction system in real time according to the human body approaching data;

carrying out refined identification judgment on the recyclable garbage in real time;

and analyzing and processing the recyclable garbage data information, and generating a recyclable garbage processing suggestion in real time.

Further, the step of sensing the human body approach data and activating the human-computer interaction system in real time according to the human body approach data further comprises the following steps:

and detecting and judging whether the human body approaches, if so, activating the human-computer interaction system, and otherwise, keeping the human-computer interaction system in the original dormant state.

Further, the step of performing refined recognition judgment on the recyclable garbage in real time further comprises the following steps:

acquiring primary recyclable garbage data, and starting corresponding recyclable garbage category storage devices according to the primary recyclable garbage data;

finely identifying the shape, the volume and the type of the recyclable garbage in the storage device in real time;

and matching the data according to the refined identification data and the detected recyclable garbage quality data time.

Further, the step of obtaining the primary data of the recyclable garbage and opening the corresponding recyclable garbage type storage device according to the primary data further comprises the following steps:

and generating question and answer reward scores in real time according to the recyclable rubbish preliminary data.

Further, the step of matching the data according to the refined identification data and the detected recyclable garbage quality data time further comprises the following steps:

and judging whether to return the recyclable garbage to be processed or not according to the data matching condition.

Further, the step of analyzing and processing the information of the recyclable garbage data to generate a recyclable garbage processing suggestion in real time further comprises the following steps:

generating an integral corresponding to the recyclable garbage data information;

and summarizing the integral and displaying the integral in real time by voice or pictures.

The second object of the present invention is achieved by: the device specifically comprises: the system comprises a power supply system, a man-machine interaction system, a refined recognition anti-misputting system, a self-adaptive learning system and an integral statistic system;

the power supply system is specifically provided with a solar cell panel, a lithium ion battery pack and a power supply management module;

the solar cell panel is composed of a solar cell and a structural support frame; the lithium ion battery pack comprises a plurality of sections of cylindrical lithium ion battery monomers connected in series and parallel;

the man-machine interaction system specifically comprises a voice interaction unit and a screen interface interaction unit;

the refined recognition anti-misdelivery system specifically comprises a garbage refined recognition platform, a platform moving device and a garbage recycling and misdelivery return device.

The third object of the present invention is achieved by: the system specifically comprises:

the induction activation unit is used for inducing human body approaching data and activating a human-computer interaction system in real time according to the human body approaching data;

the identification judgment unit is used for carrying out refined identification judgment on the recyclable garbage in real time;

and the analysis generating unit is used for analyzing and processing the recyclable garbage data information and generating a recyclable garbage processing suggestion in real time.

The fourth object of the present invention is achieved by: the platform includes: the system comprises a processor, a memory and a human-computer interaction platform control program based on the recyclable waste accurate classification;

the processor executes the human-computer interaction platform control program based on the recyclable garbage precise classification, the human-computer interaction platform control program based on the recyclable garbage precise classification is stored in the memory, and the human-computer interaction platform control program based on the recyclable garbage precise classification realizes the steps of the human-computer interaction method based on the recyclable garbage precise classification.

The human body approaching data is sensed through the method, and the human-computer interaction system is activated in real time according to the human body approaching data; carrying out refined identification judgment on the recyclable garbage in real time; analyzing and processing the recoverable garbage data information, and generating a recoverable garbage processing suggestion in real time, and a device, a system and a platform corresponding to the method; the refined classification of the garbage is changed into a novel and interesting thing, teaching is realized through lively activities, and students are trained to have a good habit of finely classifying the garbage from childhood. Meanwhile, the solar power supply mode carried by the power supply system of the device greatly reduces the electric quantity cost and also achieves the environmental protection concept of energy conservation and emission reduction. Meanwhile, the device comprises a novel and interesting human-computer interaction system such as voice recognition and visual recognition, which follows the era trend of artificial intelligence, and attracts students to use the device to perform garbage fine classification to a great extent; meanwhile, the visual sense of the refined recognition anti-misdrop system of the device is matched with the recognition of weighing, so that the garbage recognition precision is greatly improved, and the production cost of the device is also greatly reduced by an automatic mobile platform; meanwhile, due to the hasp design of the device, the device is greatly convenient to arrange and freely combine in a campus; meanwhile, the self-adaptive learning system of the device further strengthens and consolidates the consciousness habit of student waste fine classification; meanwhile, the point counting system of the device greatly facilitates the school to formulate a reward mechanism, and further encourages students to perform fine garbage classification. The device can finally realize the creation of the atmosphere of refined classification of the garbage of people in the hiding, and the aims of changing the garbage into valuable, saving energy, reducing emission and beautifying the appearance of a city are fulfilled.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a human-computer interaction method based on recyclable waste accurate classification according to the present invention;

FIG. 2 is a schematic flow chart of a human-computer interaction method based on the precise classification of recyclable garbage according to the present invention;

FIG. 3 is a schematic flow chart of a third exemplary embodiment of a human-computer interaction method based on the precise classification of recyclable garbage according to the present invention;

FIG. 4 is a schematic diagram of a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 5 is a schematic diagram of a second exemplary embodiment of a human-computer interaction device for precisely classifying recyclable waste;

FIG. 6 is a third schematic view of a human-computer interaction device based on the precise classification of recyclable garbage according to the present invention;

FIG. 7 is a diagram illustrating a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 8 is a schematic diagram of a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 9 is a sixth schematic view of a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 10 is a seventh schematic diagram of a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 11 is an eighth schematic view of a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 12 is a ninth schematic view of a human-computer interaction device for precisely classifying recyclable waste according to the present invention;

FIG. 13 is a tenth schematic diagram of a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 14 is an eleventh schematic view of a human-computer interaction device for classifying recyclable garbage accurately according to the present invention;

FIG. 15 is a twelve schematic diagrams illustrating a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 16 is a thirteen schematic diagrams of a human-computer interaction device based on the precise classification of recyclable waste according to the present invention;

FIG. 17 is a schematic diagram of a human-computer interaction system architecture based on precise classification of recyclable waste according to the present invention;

FIG. 18 is a schematic diagram of a human-computer interaction platform architecture based on the precise classification of recyclable garbage according to the present invention;

FIG. 19 is a block diagram of a computer readable storage medium according to an embodiment of the present invention;

in the figure:

1-a solar panel; 2-an interactive terminal; 3-a garbage recycling cabinet; 4-a steering engine; 5-motor a; 6-a camera; 7-a pressure sensing panel; 8-a slide rail; 9-a pulley; 19-a rail projection; 20-a slide rail groove; 10-a garbage throwing groove; 11-motor b; 12-refuse return trough; 13-motor c; 14-garbage can fixing frame; 15-a garbage can; 16-a garbage bin shell; 17-hasp a; 18-hasp b;

the objects, features and advantages of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

For better understanding of the objects, aspects and advantages of the present invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings, and other advantages and capabilities of the present invention will become apparent to those skilled in the art from the description.

The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention.

It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indications are changed accordingly.

In addition, if there is a description relating to "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Secondly, the technical solutions in the embodiments can be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not be within the protection scope of the present invention.

The invention discloses a human-computer interaction method, a human-computer interaction platform and a human-computer interaction device based on accurate classification of recyclable garbage.

Fig. 1 is a flowchart of a human-computer interaction method based on the precise classification of recyclable garbage according to an embodiment of the present invention.

The invention is further elucidated below with reference to the drawing.

As shown in fig. 1-3, the present invention provides a human-computer interaction method based on the accurate classification of recyclable waste, and the method specifically includes the following steps:

s11, sensing human body approaching data, and activating a human-computer interaction system in real time according to the human body approaching data;

s12, performing refined identification judgment on the recyclable garbage in real time;

and S13, analyzing and processing the recyclable garbage data information, and generating a recyclable garbage processing suggestion in real time.

The step of sensing the human body approach data and activating the human-computer interaction system in real time according to the human body approach data further comprises the following steps:

and S111, detecting and judging whether the human body approaches, if so, activating the human-computer interaction system, otherwise, keeping the human-computer interaction system in the original dormant state.

The step of carrying out refined identification judgment on the recyclable garbage in real time further comprises the following steps:

s121, acquiring primary recyclable garbage data, and starting corresponding recyclable garbage type storage devices according to the primary recyclable garbage data;

s122, performing refined identification on the shape, the volume and the type of the recyclable garbage in the storage device in real time;

and S123, performing data matching according to the refined identification data and the detected recyclable garbage quality data time.

The steps of obtaining the primary data of the recyclable garbage and opening the corresponding recyclable garbage type storage device according to the primary data further comprise the following steps:

s1211, generating question and answer reward points in real time according to the recyclable rubbish preliminary data.

The step of matching the data according to the refined identification data and the detected recyclable garbage quality data time further comprises the following steps:

and S1231, judging whether to return the recyclable garbage according to the data matching condition.

The steps of analyzing and processing the recyclable garbage data information and generating a recyclable garbage processing suggestion in real time further comprise the following steps:

s131, generating an integral corresponding to the recyclable junk data information;

and S132, summarizing the integral and displaying the integral in real time through voice or pictures.

Specifically, in the embodiment of the invention, the education method and the education device for the refined classification of the recoverable garbage in the campus change the refined classification of the garbage into a novel and interesting thing, teach through entertainment and cultivate good habits of students for developing the refined classification of the garbage from childhood.

In order to solve the technical problem, the invention provides an education method for finely classifying the recyclable garbage in the campus, which comprises the following steps:

s1, when the student approaches the education device which is used for finely classifying the recoverable garbage in the campus, the proximity sensor carried on the device senses that someone approaches, the whole education device system is activated from the dormant state, and a login interface is displayed on the display screen.

S2, the student can choose one login mode from three modes of face recognition login, student card swiping login and two-dimensional code scanning login through a voice interaction mode according to actual requirements.

S3, after the student logs in successfully, the education device system starts a question and answer mode before garbage collection. The student is first asked what the recyclable garbage that he wants to refine the classification is, such as: plastic bottles, pop cans, and the like; the student is then asked to consider which category of refined recyclable waste the waste belongs to. If the answer is correct, the corresponding bonus award can be provided, and if the answer is wrong, the bonus award is not provided. No matter the answer is correct or not, the education device can open the identification window corresponding to the garbage carried by the student.

S4, after the students throw the carried garbage into the corresponding recognition windows, the shape, the volume and the type of the garbage are recognized by the aid of the fine recognition anti-misputting system in the recognition windows through cameras, the quality of the garbage is detected by the aid of the pressure sensor panel, detection results of the garbage and detection results of the garbage are matched, and the purpose of further fine recognition anti-misputting is achieved. If the refined identification result is matched with the recovery window, the delivery is successful; and if the refined identification is not matched with the recovery window, returning the garbage, and giving a voice prompt to be lost to the matched recovery window.

And S5, after the student completes the operation, the scoring system counts the scores obtained by correct answer of the student questions and the scores converted from the quantity or the quality of the garbage, informs the student in a voice and picture display mode, and finally uploads the data to the cloud. Simultaneously, the self-adaptive learning system carried by the education device system carries out data analysis on the answering situation of the problem before the student finely classifies the rubbish each time according to the knowledge map, and performs targeted consolidation training on the feedback suggestions and the related questions corresponding to the student, so that the aim of further improving the rubbish classification consciousness of the student is fulfilled.

In order to achieve the above object, the present invention further provides a device for human-computer interaction based on precise classification of recyclable waste, as shown in fig. 4 to 16, the device specifically includes: the system comprises a power supply system, a man-machine interaction system, a refined recognition anti-misputting system, a self-adaptive learning system and an integral statistic system;

Specifically, the education device is used for finely classifying the recyclable garbage on the campus. The device specifically comprises a power supply system, a man-machine interaction system, a refined recognition anti-misputting system, a self-adaptive learning system and an integral statistic system.

The power supply system specifically includes: the solar energy battery pack comprises a solar energy battery panel, a lithium ion battery pack and a power supply management module, wherein the solar energy battery panel is composed of a solar energy battery and a structural support frame. The lithium ion battery pack comprises a plurality of sections of cylindrical lithium ion battery monomers connected in series and parallel, and a lithium ion battery pack protection plate with multiple protection functions of lithium ion battery monomer equalization, overvoltage, overcurrent and the like. The power management module comprises: 1. the lithium battery pack charging circuit preferably adopts a SY6912a chip in the embodiment. And 2, the DC-DC 5V BUCK circuit generates DC 5V to supply power for a human-computer interaction system, a refined identification anti-misputting system, a self-adaptive learning system and an integral statistic system. Preferably, the present embodiment uses a SY8368 chip. 3. The motor power supply circuit is used for supplying power to the motor driving module by taking power from two ends of the battery pack and passing through a backflow prevention circuit (including but not limited to a diode) and an overcurrent protection circuit (including but not limited to a self-recovery fuse).

The man-machine interaction system specifically comprises voice interaction and screen interface interaction. The voice interaction comprises voice feedback signals of voice recognition students and voice broadcast welcome or suggestive audio signals. The screen interface interaction comprises screen display window information and a screen touch feedback signal of the student. The man-machine interaction system runs through the behavior that students use the education device to perform the fine classification of the recyclable garbage. The system of the educational apparatus is activated when the proximity sensor of the educational apparatus detects the approach of a student. Firstly, welcoming audio signals through voice broadcasting, and then displaying a selection window of a login mode on a display screen, wherein the selection window comprises face recognition login, student card swiping login and two-dimensional code scanning login. The student can select a login mode optionally according to the actual convenience degree by using a voice feedback or touch screen feedback mode and perform login operation. Then the screen will show "please clearly tell what the finely classified recyclable garbage is (e.g. plastic bottles, cans, paper rolls, etc.)? And then the student answers the question by means of voice feedback, and then the screen displays 'please select the garbage bin type (waste glass, waste metal, waste plastic, waste paper and waste fabric) which you think that the student belongs to' and performs voice broadcast, and then the student replies by means of voice feedback. If the classification is correct, the screen will display "classify correctly, please leave the garbage to the correct window opened! "and voice broadcast is carried out; if the classification is wrong, the screen will display "classify incorrectly, you classified garbage should belong to XX, please leave the garbage in the right window opened! And voice broadcast is performed. After the student refined classified garbage is finished, the system can count the total points of the refined classified garbage, and the total points are displayed on a screen and broadcasted through voice.

The refined recognition anti-misdelivery system specifically comprises a garbage refined recognition platform, a platform moving device and a garbage recycling and misdelivery return device. The garbage fine recognition mobile platform comprises a garbage image recognition and weighing matching recognition and platform moving device. The garbage image recognition specifically comprises the steps that a camera arranged at the top of a platform is used for obtaining image pictures of garbage thrown on the platform at the lower part, the image pictures are uploaded to a cloud server, and the cloud server recognizes the shape and the size of the garbage based on machine vision, matches the shape and the size with a model of deep learning training and feeds back a preliminary recognition result. The weighing matching identification is specifically pressure sensors uniformly arranged on the square platform, and the pressure sensors can measure the pressure value of each point on the square platform. When rubbish drops into this platform on, the pressure sensor on the platform can feed back this rubbish and upload to the high in the clouds server at the regional pressure value on the platform, and the high in the clouds server can match the identification of further refining according to the pressure value of feedback and the preliminary result of visual identification and confirms the kind of rubbish that drops into. The refined recognition platform also has the characteristics of determining the specific quantity of the thrown garbage and the specific quality of the thrown garbage according to the pressure values of all the areas on the platform in a visual fit mode, so that a plurality of same types of garbage can be thrown into the refined recognition platform by a student conveniently and quickly to the maximum extent, and the system is ensured to carry out accurate point statistics. The platform moving device is specifically a motor, a pulley and a slide rail loaded on the side edge of the platform. It realizes through motor drive pulley on the slide rail that the platform freely moves to the rubbish cabinet that corresponds the type directly over according to the recoverable rubbish type that the student put in five categorised cabinets that become more meticulous, realizes that a recoverable rubbish categorised education device that becomes more meticulous only needs a rubbish discernment platform that becomes more meticulous, has reduced this education device's cost in the very big degree. The garbage recycling and mis-throwing returning device is a steering engine installed below a garbage fine recognition platform, and can recycle and return garbage in a mode of inclining the platform according to a recognition result. When students throw garbage into the garbage fine recognition platform and judge that delivery is correct through recognition, the steering engine control platform tilts backwards to realize final garbage recovery; throw into rubbish fine-grained discernment platform and judge through discernment and deliver wrong back when the student with rubbish, steering engine control platform inclines forward and returns rubbish to rubbish and returns the draw-in groove, opens corresponding correct rubbish delivery window after that and supplies the student to deliver. This rubbish is retrieved and is thrown back device by mistake aims at educating the student and go on classifying to throw into the exact rubbish cabinet that becomes more meticulous with rubbish from the action in, and the consciousness that the student improved student's rubbish classification that becomes more meticulous is tempered from the action to very big degree and the purpose of education is reached.

The garbage recycling detection self-adaptive learning system is a knowledge map constructed according to the type of recyclable garbage, and according to the situation that students perform recyclable garbage fine classification each time (including question and answer mistakes before garbage delivery and the accuracy rate of garbage in the garbage delivery process), the system performs data statistics and algorithm analysis according to the type of the garbage thrown by the students specifically, and finally gives personalized and specific feedback suggestions to each student at the cloud end according to the knowledge map and performs question specifically before the students throw the garbage next time, so that the consciousness of the student garbage fine classification is further strengthened.

The point counting system is used for performing point calculation and background summary of statistics of fine garbage classification on each time of students and judging whether reward or education measures are adopted. Specific sources of integration are: first, integral conversion is carried out on the question and answer situation before garbage delivery. And secondly, performing corresponding integral conversion according to the quantity or the quality of different garbage types. The two sources are combined and converted according to a certain proportion to obtain an integral, and the integral can be accumulated for multiple times without failure. Finally, certain reward measures can be taken according to points obtained by the students for garbage fine classification, the more the points are, the more the reward can be exchanged correspondingly, the more the reward is, the enthusiasm of the students is called, the students are further encouraged to perform garbage fine classification, and finally the awareness of the students in fine classification is improved in the subtense.

In fig. 4, the solar panel 1 is used for absorbing solar energy and converting the solar energy into electric energy, and finally supplying the electric energy to the whole set of device; the interactive terminal 2 is used for multi-mode interaction between a student user and the device; the garbage recycling cabinet 3 is used for recycling garbage.

In fig. 7, the steering engine 4 is used for controlling the pressure panel 7 to maintain horizontal or tilt inwards or outwards; the motor a5 is used for driving the groove pulley 9 to roll on the convex rail 8; the engagement of the groove slide rail 9 and the convex rail prevents the derailment phenomenon; the camera 6 is erected right above the pressure panel 7 and is used for identifying garbage on the pressure panel 7;

in fig. 8, according to the rubbish variety that the answer link student selected, rubbish fine-grained discernment is prevented mistake and is thrown platform system, slides to corresponding rubbish fine-grained recovery cabinet, and this recovery cabinet opens the rubbish input groove on cabinet top after that, waits for the student to input rubbish.

That is, the trash bin 10 is disposed on the top of the trash bin housing 16 for receiving trash dropped by student users; the motor b 11 is used for driving the garbage throwing groove 10 to turn inwards or outwards; the garbage retreating groove 12 is used for receiving garbage in the pressure sensing panel 7 which is driven by the steering engine 4 to incline downwards and outwards; the motor c is used for driving the garbage returning groove to turn inwards or outwards; the garbage can fixing frame 14 is used for fixing a garbage can 15 placed in the garbage cabinet shell 16;

according to the rubbish variety that answer link student selected, rubbish is refined discerned and is prevented mistake and throw platform system and slide to corresponding rubbish and retrieve cabinet 3, and this rubbish is retrieved cabinet 3 and is located rubbish throwing groove 10 at 16 tops of rubbish cabinet case shell and outwards overturns under the drive of motor b 11, waits for the student to throw in rubbish.

In fig. 9, after the student puts in rubbish in the rubbish putting groove, the rubbish putting groove is turned over inwards under the driving of the motor, the rubbish is put in the pressure sensing panel on the platform, and the system identifies the thrown rubbish finely.

That is to say, after the student has thrown rubbish in the rubbish throwing groove 10, this rubbish throwing groove 10 is turned over inwards under the drive of motor b 11, realizes that rubbish in the rubbish throwing groove is accurate to be poured on the pressure sensing panel 7 on the platform, and then the system carries out the discernment that becomes more meticulous to the rubbish that drops into.

In fig. 10, when the system recognizes that the thrown garbage belongs to the recycling range of the garbage fine recycling cabinet (for example, the pop can is thrown into the waste metal recycling cabinet), the platform is turned inwards under the driving of the steering engine, and the garbage can be thrown into the garbage cabinet accurately.

That is to say, when the rubbish that system discernment dropped into belongs to this rubbish and retrieves the recovery category of cabinet 3 (for example the easy open can drops into useless metal class and retrieves the cabinet), then pressure sensing panel 7 is inside upset under steering wheel 4's drive, realizes that rubbish is accurate to be put into in rubbish cabinet case 16 is fixed in the garbage bin 15 of garbage bin mount 14.

In fig. 11, when the system identifies that the thrown garbage does not belong to the recycling category of the garbage fine recycling cabinet (for example, the pop-top can is thrown into the waste plastic recycling cabinet), the platform is driven by the steering engine to turn outwards, so that the garbage is accurately thrown into the garbage returning groove in the middle of the garbage cabinet.

That is to say, when the system recognizes that the thrown-in garbage does not belong to the recycling category of the garbage recycling bin 3 (for example, the pop can is thrown into the waste plastic garbage recycling bin), the pressure sensing panel 7 is turned outwards under the driving of the steering engine 4, so that the garbage is accurately thrown into the garbage returning groove 12 in the middle of the garbage bin housing 16.

In fig. 12, the garbage returning groove is turned outwards, the correct garbage throwing groove of the fine classification recycling cabinet is opened synchronously, and the students are waited to take back the garbage in the garbage returning groove and throw the garbage into the correct garbage throwing groove, so that the students can realize the fine classification of the correct garbage through own actions under the guidance of the education device.

That is to say, rubbish retreat slot 12 outwards overturns under the drive of motor c 13, and the rubbish of synchronous correct rubbish recovery cabinet 3 is thrown in the groove 10 and outwards overturns under the drive of motor b 11, waits for the student to get back the rubbish in rubbish retreat slot 12 and throw in the rubbish of correct rubbish recovery cabinet 3 and throw in the groove 10 to realize under the instruction of this educational device that the student realizes correct rubbish and classifies more finely through the action of oneself.

In fig. 13, after infrared sensor who places the garbage bin top in the garbage refined recovery cabinet detects that the garbage bin is full-load, this education device system just can contact relevant staff and carry out relevant rubbish recovery work, and this device drawer type structural design has made things convenient for the staff to retrieve operation (for example change inside garbage bin, perhaps change the inside rubbish of garbage bin and retrieve the bag) to rubbish greatly.

That is to say; after the infrared sensor who places garbage bin 15 top in garbage collection cabinet 3 in detects garbage bin 15 and is fully loaded with, this education device system just can contact relevant staff and carry out relevant rubbish and retrieve the work, and the garbage bin mount 14 of this device takes out at the inside convenient garbage bin of drawer type structure that adopts of garbage bin case shell 16, and garbage bin mount 14 adopts hasp a 17 to realize convenient fixed between them with the outside of garbage bin case shell 16 simultaneously. These designs have made things convenient for the staff to retrieve the operation to rubbish greatly (for example change inside garbage bin, or change the inside rubbish recycling bag of garbage bin).

In fig. 15, a buckle b 18 is used for convenient connection and fixation between a plurality of garbage collection cabinets 3 and the interactive terminal 2.

In fig. 16, the garbage collection cabinet 3 of the educational apparatus has an external buckle b 18 for freely and conveniently combining the garbage cabinet, and the slide rail protrusion 19 and the slide rail groove 20 can be precisely butted.

The platform can retrieve 3 free slips in the cabinet at a plurality of rubbish in the discernment of refining, realizes that this education device shares a discernment of refining and prevents mistake and throw the platform, greatly reduced the cost.

In fig. 14-16, the hasp of the rubbish fine classification cabinet design of this education device can realize the convenient combination of freedom of rubbish cabinet, and the arch and the recess of slide rail can realize accurate butt joint. The platform can freely slide between a plurality of garbage bins to prevent mistake of throwing of discerning more meticulous, realizes that this education device shares a platform is prevented mistake of throwing of discerning more meticulous, greatly reduced the cost.

In order to achieve the above object, the present invention further provides a human-computer interaction system based on the precise classification of recyclable waste, as shown in fig. 17, the system specifically includes:

In the response activation unit, still be provided with:

the first judging module is used for detecting and judging whether the human body approaches, if so, the man-machine interaction system is activated, and otherwise, the man-machine interaction system keeps the original dormant state.

The identification determination unit is further provided with:

the first acquisition processing module is used for acquiring primary data of the recyclable garbage and starting a corresponding recyclable garbage type storage device according to the primary data;

the fine identification module is used for carrying out fine identification on the shape, the volume and the type of the recyclable garbage in the storage device in real time;

and the detection matching module is used for matching data according to the refined identification data and in combination with the detected recyclable garbage quality data time.

And the first generation module is used for generating the question and answer reward score in real time according to the recyclable rubbish preliminary data.

And the returning module is used for judging whether to return the recyclable garbage according to the data matching condition.

The analysis generation unit is further provided with:

the second generation module is used for generating an integral corresponding to the recyclable junk data information;

and the display module is used for summarizing the integral and displaying the integral in real time by voice or pictures.

In the embodiment of the system scheme of the present invention, the specific details of the method steps involved in the human-computer interaction system based on the accurate classification of the recyclable garbage are described above, and are not described herein again.

In order to achieve the above object, the present invention further provides a human-computer interaction platform based on the precise classification of recyclable waste, as shown in fig. 18, including: the system comprises a processor, a memory and a human-computer interaction platform control program based on the accurate classification of the recyclable garbage;

wherein the processor executes the human-computer interaction platform control program based on recyclable garbage precise classification, the human-computer interaction platform control program based on recyclable garbage precise classification is stored in the memory, and the human-computer interaction platform control program based on recyclable garbage precise classification realizes the human-computer interaction method steps based on recyclable garbage precise classification, such as:

The details of the steps have been set forth above and will not be described herein.

In an embodiment of the present invention, the human-computer interaction platform built-in processor based on the recyclable waste accurate classification may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and include one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, and a combination of various control chips. The processor accesses each component by using various interfaces and line connections, executes or executes programs or units stored in the memory, and calls data stored in the memory to execute various functions of human-computer interaction and process data based on the recyclable waste accurate classification;

the memory is used for storing program codes and various data, is installed in a human-computer interaction platform based on recyclable garbage precise classification, and realizes high-speed and automatic access of programs or data in the running process.

The Memory includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable rewritable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical Disc Memory, magnetic disk Memory, tape Memory, or any other medium readable by a computer that can be used to carry or store data.

In order to achieve the above object, the present invention further provides a computer readable storage medium, as shown in fig. 19, where the computer readable storage medium stores a human-computer interaction platform control program based on precise classification of recyclable garbage, and the human-computer interaction platform control program based on precise classification of recyclable garbage implements the steps of the human-computer interaction method based on precise classification of recyclable garbage, for example:

In describing embodiments of the present invention, it should be noted that any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and that the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.

The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processing module-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM).

Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.

In an embodiment of the present invention, to achieve the above object, the present invention further provides a chip system, where the chip system includes at least one processor, and when a program instruction is executed in the at least one processor, the chip system is enabled to perform the steps of the human-computer interaction method based on recyclable waste accurate classification, for example:

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 application. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The human body approaching data is sensed through the method, and the human-computer interaction system is activated in real time according to the human body approaching data; carrying out refined identification judgment on the recyclable garbage in real time; analyzing and processing the recoverable garbage data information, and generating a recoverable garbage processing suggestion in real time, and a device, a system and a platform corresponding to the method; the refined classification of the garbage is changed into a novel and interesting thing, teaching is realized through lively activities, and students are trained to have a good habit of finely classifying the garbage from childhood. Meanwhile, the solar power supply mode carried by the power supply system of the device greatly reduces the electric quantity cost and also achieves the environmental protection concept of energy conservation and emission reduction. Meanwhile, the device comprises a novel and interesting man-machine interaction system such as voice recognition, visual recognition and the like, which follows the era trend of artificial intelligence, and greatly attracts students to use the device to perform fine garbage classification; meanwhile, the matching of the vision of the refined recognition anti-misdrop system and the recognition of weighing of the device greatly improves the garbage recognition precision, and the production cost of the device is greatly reduced by an automatic mobile platform; meanwhile, due to the hasp design of the device, the arrangement and the free combination of the device in a campus are greatly facilitated; meanwhile, the self-adaptive learning system of the device further strengthens and consolidates the consciousness habit of student waste fine classification; meanwhile, the point counting system of the device brings convenience to a school to formulate a reward mechanism to a great extent, and students are further encouraged to perform garbage fine classification. The device can finally create the atmosphere of fine classification of the garbage of people in the hidden tacit, and the garbage is changed into valuable things, so that the purposes of saving energy, reducing emission and beautifying the appearance of the market are achieved.

The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent should be subject to the appended claims.

Claims

1. A human-computer interaction method based on accurate classification of recyclable garbage is characterized by specifically comprising the following steps:

analyzing and processing the recyclable garbage data information, and generating a recyclable garbage processing suggestion in real time;

detecting and judging whether a human body approaches, if so, activating a human-computer interaction system, otherwise, keeping the human-computer interaction system in the original dormant state;

finely identifying the shape, the volume and the type of the recyclable garbage in the storage device in real time; performing data matching according to the refined identification data and the detected recyclable garbage quality data; the method specifically comprises the following steps: in the fine recognition anti-misconnection process in the recognition window, the shape, the volume and the type of the garbage are recognized by using the camera, the quality of the garbage is detected by using the pressure sensor panel, and the detection results of the garbage and the pressure sensor panel are matched, so that the purpose of further fine recognition anti-misconnection is achieved; if the refined identification result is matched with the recovery window, the delivery is successful; if the refined identification is not matched with the recovery window, returning the garbage, and giving a voice prompt to be lost into the matched recovery window;

generating question and answer reward scores in real time according to the recyclable rubbish preliminary data;

the step of matching the data according to the refined identification data and the detected recyclable garbage quality data further comprises the following steps:

judging whether to return the recyclable garbage according to the data matching condition;

generating an integral corresponding to the recyclable junk data information; collecting the integral and displaying the integral in real time by voice or pictures;

the generating of the integral corresponding to the recoverable junk data information, the summarizing of the integral and the real-time voice or picture display of the integral further comprises the following steps:

converting the quantity or quality of the garbage into points, informing students in a voice and picture display mode, and finally uploading the data to a cloud; the answer condition of the problem before the student refines and classifies the garbage each time is subjected to data analysis according to the knowledge map, corresponding feedback suggestions and relevant questions are provided for targeted consolidation training, and the garbage classification consciousness of the student is improved.

2. A human-computer interaction device based on recyclable waste accurate classification, characterized in that the device is applied to the human-computer interaction method based on recyclable waste accurate classification as claimed in claim 1;

the device specifically comprises: the system comprises a power supply system, a man-machine interaction system, a refined recognition anti-misthrow system, a self-adaptive learning system and an integral counting system;

the refined recognition anti-misthrow system specifically comprises a garbage refined recognition platform, a platform moving device and a garbage recycling and misthrow return device;

the human-computer interaction system specifically further comprises:

the analysis generating unit is used for analyzing and processing the recyclable garbage data information and generating a recyclable garbage processing suggestion in real time;

the first judgment module is used for detecting and judging whether a human body approaches, if so, the human-computer interaction system is activated, otherwise, the human-computer interaction system keeps the original dormant state;

the identification determination unit is further provided with:

the detection matching module is used for matching data according to the refined identification data and in combination with the detected time of the recyclable garbage quality data;

the first generation module is used for generating question and answer reward scores in real time according to the recyclable rubbish preliminary data;

the rollback module is used for judging whether to return the recyclable garbage or not according to the data matching condition;

the analysis generation unit is further provided with:

a second generating module, configured to generate an integral corresponding to the recyclable garbage data information;

3. A human-computer interaction platform based on accurate classification of recoverable rubbish, characterized by includes: the system comprises a processor, a memory and a human-computer interaction platform control program based on the recyclable waste accurate classification;

wherein the processor executes the human-computer interaction platform control program based on recyclable waste precise classification, the human-computer interaction platform control program based on recyclable waste precise classification is stored in the memory, and the human-computer interaction platform control program based on recyclable waste precise classification realizes the steps of the human-computer interaction method based on recyclable waste precise classification as claimed in claim 1.

4. A computer-readable storage medium, wherein the computer-readable storage medium stores a human-machine interaction platform control program based on recyclable waste accurate classification, and the human-machine interaction platform control program based on recyclable waste accurate classification implements the steps of the human-machine interaction method based on recyclable waste accurate classification as claimed in claim 1.