CN111814026A - WeChat applet-based garbage classification system - Google Patents
WeChat applet-based garbage classification system Download PDFInfo
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- CN111814026A CN111814026A CN202010710482.5A CN202010710482A CN111814026A CN 111814026 A CN111814026 A CN 111814026A CN 202010710482 A CN202010710482 A CN 202010710482A CN 111814026 A CN111814026 A CN 111814026A
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- 239000010813 municipal solid waste Substances 0.000 title claims abstract description 184
- 238000012545 processing Methods 0.000 claims abstract description 7
- 238000012360 testing method Methods 0.000 claims description 21
- 238000013145 classification model Methods 0.000 claims description 18
- 239000002699 waste material Substances 0.000 claims description 16
- 238000012549 training Methods 0.000 claims description 12
- 238000013528 artificial neural network Methods 0.000 claims description 11
- 238000013519 translation Methods 0.000 claims description 8
- 239000000126 substance Substances 0.000 claims description 7
- 239000002920 hazardous waste Substances 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 6
- 230000019771 cognition Effects 0.000 claims description 4
- 230000002708 enhancing effect Effects 0.000 claims description 4
- 238000011478 gradient descent method Methods 0.000 claims description 4
- 238000009795 derivation Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
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- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
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- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
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Abstract
The invention discloses a garbage classification system based on WeChat small program, comprising: the system comprises a garbage classification controller, a cloud platform and a WeChat applet; the garbage classification controller is used for collecting garbage data information, analyzing and processing the garbage data information, and wirelessly transmitting the garbage data information to the cloud platform for data statistics and storage; the WeChat applet is used for acquiring a control instruction of a user and calling data from the cloud platform according to the control instruction. The system overcomes the problems that people in the prior art lack of garbage classification consciousness and frequently make mistakes when garbage classification is carried out, so that not only can the influence of fine and administrative punishment on people who make mistakes in garbage throwing be generated, but also the throwing accuracy of garbage classification can be influenced.
Description
Technical Field
The invention relates to the technical field of garbage classification, in particular to a garbage classification system based on WeChat small programs.
Background
Along with the development of economy, the improvement of people's life, the urban garbage is greatly increased, and the garbage classification treatment becomes a pressing problem in the comprehensive urban environment remediation. The garbage classification refers to a series of activities which store, release and transport garbage classification according to a certain rule or standard so as to convert the garbage classification into a common resource. The garbage classification can improve the resource value and the economic value of the garbage, and meanwhile, the garbage classification can reduce the occupied land and the pollution and can also change waste into valuable. With the official implementation of the domestic garbage management regulation of Shanghai City in 2019, 7/1, the first gun for national garbage classification is sounded, the regulation classifies domestic garbage into four classes according to classification standards of 'recyclables', 'harmful garbage', 'wet garbage' and 'dry garbage', and penalizes the behavior of no garbage classification and unspecified throwing into a specified garbage can and carries out administrative penalty.
However, because people in China lack the awareness of garbage classification before, errors are frequently made during garbage classification, so that the influence of fine and administrative punishment on people who make mistakes in garbage throwing is generated, and the throwing accuracy of garbage classification is influenced.
Therefore, the invention provides a garbage classification system based on WeChat applet, which can help users to automatically identify and classify garbage during the use process.
Disclosure of Invention
Aiming at the technical problems, the invention aims to overcome the problems that people in the prior art lack of garbage classification consciousness and frequently make mistakes during garbage classification, which not only can cause the influence of fine and administrative punishment on people who make mistakes in garbage throwing, but also can influence the garbage classification throwing accuracy, thereby providing a garbage classification system based on a WeChat applet, which can help users to automatically identify and classify garbage during the use process.
In order to achieve the above object, the present invention provides a WeChat applet-based garbage classification system, comprising: the system comprises a garbage classification controller, a cloud platform and a WeChat applet; the garbage classification controller is used for collecting garbage data information, analyzing and processing the garbage data information, and wirelessly transmitting the garbage data information to the cloud platform for data statistics and storage; the WeChat applet is used for acquiring a control instruction of a user and calling data from the cloud platform according to the control instruction.
Preferably, the garbage classification controller includes: the system comprises a garbage query module, a garbage recognition module and an intelligent classification model; wherein the content of the first and second substances,
the garbage inquiry module is used for acquiring garbage inquiry information of a user and outputting garbage categories according to the garbage inquiry information by utilizing a garbage classification big database; the spam query information includes: text query information and voice query information;
the garbage identification module is used for acquiring garbage image query information and outputting garbage categories according to the garbage query information by using the intelligent classification model;
the garbage categories include: recyclables, hazardous waste, wet waste and dry waste.
Preferably, the garbage classification controller further includes:
the word translation module is used for identifying and translating the word query information in the junk query information into query instruction information;
and the voice translation module is used for identifying and translating the voice query information in the junk query information into query instruction information.
Preferably, the intelligent classification model is trained by adopting a VGG-16 architecture model as an infrastructure network structure.
Preferably, the step of training the intelligent classification model includes:
collecting spam image data required for training and separating the spam video data into at least two of: recyclables, hazardous waste, wet waste, and dry waste to obtain test image data;
pre-processing the image data, the pre-processing comprising: image cropping processing;
inputting the preprocessed test image data into the VGG-16 architecture model for training to obtain the intelligent classification model.
Preferably, the step of training the VGG-16 architecture model comprises:
using the preprocessed test image data and the corresponding category thereof as a label for network learning;
and calculating the gradient of the existing neural network parameters according to each picture input into the VGG-16 architecture model and the label corresponding to the picture, and updating the neural network parameters by using a gradient descent method until the neural network converges.
Preferably, the system further comprises: a garbage classification test module and a garbage classification guide; wherein the content of the first and second substances,
the garbage classification guide is used for defining four types of popular science garbage and four types of common garbage in life for a user, and enhancing understanding and cognition of the user on garbage classification;
the garbage classification testing module is used for providing real-time garbage classification knowledge testing for users.
Preferably, the system further comprises:
the GPS positioning module is used for guiding the GPS software of the mobile terminal of the mobile phone into the position for realizing the positioning of the user;
and the garbage can obtaining module is used for obtaining the position information of the garbage can near the position of the user.
Preferably, the system further comprises:
and the voice broadcasting module is used for broadcasting the user inquiry information in a voice mode.
According to the technical scheme, the garbage classification system based on the WeChat applet has the beneficial effects that when in use: can effectual realization waste classification for the user can be more comprehensive grasp waste classification's relevant knowledge, deepens the user to waste classification's understanding, also can let the user master the classification of arbitrary rubbish in the life in real time, demonstrates the garbage bin position near the user, and convenience of customers finds nearest garbage bin very first time and carries out rubbish and put in. The problem that people in the prior art lack of garbage classification consciousness and frequently make mistakes during garbage classification, so that fine and administrative punishment can be caused to people who make mistakes in garbage throwing, and the garbage classification throwing accuracy can be influenced is solved.
Additional features and advantages of the invention will be set forth in the detailed description which follows; and the parts not involved in the invention are the same as or can be realized by the prior art.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a WeChat applet-based garbage classification system provided in a preferred embodiment of the present invention;
fig. 2 is a block diagram of a garbage classification system based on WeChat applet, provided in a preferred embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
As shown in fig. 1 and 2, the present invention provides a WeChat applet-based garbage classification system, which includes: the system comprises a garbage classification controller, a cloud platform and a WeChat applet; the garbage classification controller is used for collecting garbage data information, analyzing and processing the garbage data information, and wirelessly transmitting the garbage data information to the cloud platform for data statistics and storage; the WeChat applet is used for acquiring a control instruction of a user and calling data from the cloud platform according to the control instruction.
In a preferred embodiment of the present invention, the garbage classification controller includes: the system comprises a garbage query module, a garbage recognition module and an intelligent classification model; wherein the content of the first and second substances,
the garbage inquiry module is used for acquiring garbage inquiry information of a user and outputting garbage categories according to the garbage inquiry information by utilizing a garbage classification big database; the spam query information includes: text query information and voice query information;
the garbage identification module is used for acquiring garbage image query information and outputting garbage categories according to the garbage query information by using the intelligent classification model;
the garbage categories include: recyclables, hazardous waste, wet waste and dry waste.
In a preferred embodiment of the present invention, the garbage classification controller further includes:
the word translation module is used for identifying and translating the word query information in the junk query information into query instruction information;
and the voice translation module is used for identifying and translating the voice query information in the junk query information into query instruction information.
In a preferred embodiment of the present invention, the intelligent classification model is trained by using a VGG-16 architecture model as an infrastructure network structure.
In a preferred embodiment of the present invention, the step of training the intelligent classification model includes:
collecting spam image data required for training and separating the spam video data into at least two of: recyclables, hazardous waste, wet waste, and dry waste to obtain test image data;
pre-processing the image data, the pre-processing comprising: image cropping processing;
inputting the preprocessed test image data into the VGG-16 architecture model for training to obtain the intelligent classification model.
In a preferred embodiment of the present invention, the step of training the architecture model of VGG-16 comprises:
using the preprocessed test image data and the corresponding category thereof as a label for network learning;
and calculating the gradient of the existing neural network parameters according to each picture input into the VGG-16 architecture model and the label corresponding to the picture, and updating the neural network parameters by using a gradient descent method until the neural network converges.
In a preferred embodiment of the present invention, the system further comprises: a garbage classification test module and a garbage classification guide; wherein the content of the first and second substances,
the garbage classification guide is used for defining four types of popular science garbage and four types of common garbage in life for a user, and enhancing understanding and cognition of the user on garbage classification;
the garbage classification testing module is used for providing real-time garbage classification knowledge testing for users.
In a preferred embodiment of the present invention, the system further comprises:
the GPS positioning module is used for guiding the GPS software of the mobile terminal of the mobile phone into the position for realizing the positioning of the user;
and the garbage can obtaining module is used for obtaining the position information of the garbage can near the position of the user.
In a preferred embodiment of the present invention, the system further comprises:
and the voice broadcasting module is used for broadcasting the user inquiry information in a voice mode.
According to the above, the working principle of the system provided by the invention is as follows:
the garbage classification guide is used for defining four types of popular science garbage for a user and four types of common garbage in life and enhancing understanding and cognition of the user on garbage classification, and the garbage query module comprises a text query module and a voice query module and is used for enabling the user to directly input garbage names or voice input in an applet to query the type of corresponding garbage; the garbage identification module comprises photographing identification and local picture leading-in identification, garbage is directly photographed through a camera or pictures in a mobile phone album are led in, the types of the garbage can be known by utilizing an intelligent classification model to identify the garbage, the garbage classification test module provides real-time garbage classification knowledge test for a user, the user can self-test the garbage classification mastering condition, the GPS positioning module is used for leading GPS software at a mobile terminal of the mobile phone into a position for positioning the user and displaying the position of a garbage can nearby the user, the user can conveniently find the nearest garbage can for garbage throwing at the first time, the character query module in the garbage query module comprises a character input module, a character translation module, a garbage category derivation module and a garbage category voice broadcasting module, and the voice query module in the garbage query module comprises a voice input module, a local picture leading-in identification module and a voice broadcasting module, The garbage type voice broadcasting system comprises a voice translation module, a garbage type derivation module and a garbage type voice broadcasting module; the garbage recognition module comprises a photo input module, a picture recognition module, a garbage type derivation module and a garbage type voice broadcasting module; the GPS positioning module comprises a position positioning module and a voice broadcasting position module, and the garbage category voice broadcasting module and the voice broadcasting position module are in signal connection with the voice system module; wherein the content of the first and second substances,
the intelligent classification model is trained by adopting a VGG-16 architecture model as a basic network structure, and the parameters of the neural network are updated by utilizing a gradient descent method until the neural network is converged, so that the identification accuracy of the intelligent classification model is ensured.
In conclusion, the garbage classification system based on the WeChat applet provided by the invention overcomes the problems that people in the prior art are lack of garbage classification consciousness, and errors are frequently generated during garbage classification, so that not only can the influence of fine and administrative penalty on people who make mistakes in garbage placement be generated, but also the accuracy of garbage classification placement is influenced.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, however, the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are within the protective scope of the present invention.
It should be noted that the various technical features described in the above embodiments can be combined in any suitable manner without contradiction, and the invention is not described in any way for the possible combinations in order to avoid unnecessary repetition.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as the disclosure of the present invention as long as it does not depart from the spirit of the present invention.
Claims (9)
1. A WeChat applet-based garbage classification system, the system comprising: the system comprises a garbage classification controller, a cloud platform and a WeChat applet; the garbage classification controller is used for collecting garbage data information, analyzing and processing the garbage data information, and wirelessly transmitting the garbage data information to the cloud platform for data statistics and storage; the WeChat applet is used for acquiring a control instruction of a user and calling data from the cloud platform according to the control instruction.
2. The WeChat applet-based garbage classification system according to claim 1, characterized in that the garbage classification controller comprises: the system comprises a garbage query module, a garbage recognition module and an intelligent classification model; wherein the content of the first and second substances,
the garbage inquiry module is used for acquiring garbage inquiry information of a user and outputting garbage categories according to the garbage inquiry information by utilizing a garbage classification big database; the spam query information includes: text query information and voice query information;
the garbage identification module is used for acquiring garbage image query information and outputting garbage categories according to the garbage query information by using the intelligent classification model;
the garbage categories include: recyclables, hazardous waste, wet waste and dry waste.
3. The WeChat applet-based garbage classification system according to claim 2, characterized in that the garbage classification controller further comprises:
the word translation module is used for identifying and translating the word query information in the junk query information into query instruction information;
and the voice translation module is used for identifying and translating the voice query information in the junk query information into query instruction information.
4. The WeChat applet-based garbage classification system according to claim 2, characterized in that the intelligent classification model is trained using a VGG-16 architecture model as infrastructure network structure.
5. The WeChat applet-based garbage classification system according to claim 4, characterized in that the intelligent classification model training step comprises:
collecting spam image data required for training and separating the spam video data into at least two of: recyclables, hazardous waste, wet waste, and dry waste to obtain test image data;
pre-processing the image data, the pre-processing comprising: image cropping processing;
inputting the preprocessed test image data into the VGG-16 architecture model for training to obtain the intelligent classification model.
6. The WeChat applet-based garbage classification system according to claim 5, characterized in that the step of training the VGG-16 architecture model comprises:
using the preprocessed test image data and the corresponding category thereof as a label for network learning;
and calculating the gradient of the existing neural network parameters according to each picture input into the VGG-16 architecture model and the label corresponding to the picture, and updating the neural network parameters by using a gradient descent method until the neural network converges.
7. The WeChat applet-based garbage classification system according to claim 1, characterized in that the system further comprises: a garbage classification test module and a garbage classification guide; wherein the content of the first and second substances,
the garbage classification guide is used for defining four types of popular science garbage and four types of common garbage in life for a user, and enhancing understanding and cognition of the user on garbage classification;
the garbage classification testing module is used for providing real-time garbage classification knowledge testing for users.
8. The WeChat applet-based garbage classification system according to claim 1, characterized in that the system further comprises:
the GPS positioning module is used for guiding the GPS software of the mobile terminal of the mobile phone into the position for realizing the positioning of the user;
and the garbage can obtaining module is used for obtaining the position information of the garbage can near the position of the user.
9. The WeChat applet-based garbage classification system according to claim 1, characterized in that the system further comprises:
and the voice broadcasting module is used for broadcasting the user inquiry information in a voice mode.
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