CN116062335A - Intelligent garbage classification system - Google Patents

Intelligent garbage classification system Download PDF

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Publication number
CN116062335A
CN116062335A CN202310218622.0A CN202310218622A CN116062335A CN 116062335 A CN116062335 A CN 116062335A CN 202310218622 A CN202310218622 A CN 202310218622A CN 116062335 A CN116062335 A CN 116062335A
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China
Prior art keywords
garbage
classification
module
intelligent
picture
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Pending
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CN202310218622.0A
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Chinese (zh)
Inventor
吴涛
张兵
孙淼
史洪玮
郭宇轩
姚苏洋
陈星月
陈婷
朱磊
张鹏图
毛羽炫
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Industrial Technology Research Institute Suqian College
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Industrial Technology Research Institute Suqian College
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Priority to CN202310218622.0A priority Critical patent/CN116062335A/en
Publication of CN116062335A publication Critical patent/CN116062335A/en
Pending legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65FGATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00Refuse receptacles; Accessories therefor
    • B65F1/0033Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
    • B65F1/0053Combination of several receptacles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65FGATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00Refuse receptacles; Accessories therefor
    • B65F1/14Other constructional features; Accessories
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65FGATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00Refuse receptacles; Accessories therefor
    • B65F1/0033Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
    • B65F2001/008Means for automatically selecting the receptacle in which refuse should be placed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65FGATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00Equipment of refuse receptacles
    • B65F2210/138Identification means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65FGATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00Equipment of refuse receptacles
    • B65F2210/165Remote controls
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65FGATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00Equipment of refuse receptacles
    • B65F2210/176Sorting means
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W30/00Technologies for solid waste management
    • Y02W30/10Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to the technical field of intelligent garbage classification, in particular to an intelligent garbage classification system which comprises a cloud server, a plurality of intelligent classification garbage cans and a plurality of mobile intelligent terminals; cloud server: the data control center mainly controls the orderly operation of the picture acquisition module, the data processing module, the data comparison module and the data evaluation classification module; each of the plurality of intelligent classification garbage cans includes: collection module, disinfection module, speech recognition module, rubbish classification contrast module, power module, advantage lies in: the garbage classification system can solve the problem that people cannot distinguish garbage types, can realize popularization and application as early as possible, can reduce environmental pollution and can reduce resource waste, a voice recognition module and an image recognition module are arranged on the garbage can to recognize garbage to be received, and after recognition is completed, the garbage classification system inquires classification data to realize a classification function and controls corresponding garbage cans to receive garbage according to classification results.

Description

Intelligent garbage classification system
Technical Field
The invention relates to the technical field of intelligent garbage classification, in particular to an intelligent garbage classification system.
Background
In order to realize preliminary classification of household garbage, at present, although intelligent garbage cans are raised on the market, the development degree is not high, mainly automatic induction flip covers are used, garbage cannot be classified actively, the cost is high, the garbage sorting machine is not suitable for being used in families and small communities, and garbage throwing results cannot be traced or inquired. In view of the above, it is imperative to design an intelligent garbage classification system with intelligent classification, simple operation, low manufacturing cost, inquireable classification result and suitability for large-scale popularization.
Disclosure of Invention
The invention aims to overcome the technical defects and provide the intelligent garbage classification system which has the advantages of intelligent classification, simple operation, low manufacturing cost, inquireable classification result and suitability for large-scale popularization.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: the intelligent garbage collection system comprises a cloud server, a plurality of intelligent classification garbage cans and a plurality of mobile intelligent terminals; the cloud server is characterized in that: the data control center mainly controls the orderly operation of the picture acquisition module, the data processing module, the data comparison module and the data evaluation classification module;
each of the plurality of intelligent classification garbage cans includes: the garbage collection device comprises a main body frame, a control module, a throwing module, a collection module, a compression module, a disinfection module, a voice recognition module, a garbage classification comparison module and a power supply module;
the mobile intelligent terminal runs intelligent classification garbage can matched software for inquiring history related data of the intelligent classification garbage can and inquiring classification type operation of the garbage according to the garbage name by a user;
the picture acquisition module is used for acquiring picture information of garbage;
the data processing module is used for classifying and sorting the picture information of the acquired garbage;
the data comparison module is used for comparing the classified and ordered picture information with the garbage classification comparison module to obtain similar information;
the data evaluation classification module is used for comparing the similar information with the standard information to obtain garbage classification information, transmitting the garbage classification information to the corresponding throwing module, opening the intelligent classification garbage can, throwing garbage by a user, and opening the disinfection module after throwing, so as to disinfect the inside of the intelligent classification garbage can;
in order to improve the operation of the system, as a preferable technical scheme, the method comprises the following steps:
step 1: collecting pictures needing to be classified into garbage through a camera, or collecting information needing to be classified into garbage through a voice recognition module, and obtaining a picture data set;
step 2: classifying and sorting different pictures according to the picture data set to obtain a picture sequence set;
step 3: the garbage classification comparison module is called to compare with each picture or garbage name in the picture sequence set, so that a similar comparison sequence set is obtained;
step 4: comparing each picture in the similar comparison sequence set with a standard classification sample picture set to obtain subset classification information in the similar comparison sequence set;
step 5: and obtaining the classification information of the subset in the picture sequence set according to the subset classification information of the similar comparison sequence set.
In order to improve the voice recognition function, as an optimized technical scheme, the voice recognition module is divided into a networking online recognition mode and an non-networking offline recognition mode, parameter setting can be carried out through mobile phone software, the voice recognition module is matched with various intelligent sound boxes on the market for use in a networking mode, voice instructions are recognized through the intelligent sound boxes, and the voice recognition module of the voice recognition module is used for carrying out voice recognition in the non-networking mode so as to adapt to normal use in various application environments.
For improving the diversity of intelligent classification garbage bin, as preferred technical scheme, a plurality of intelligent classification garbage bin includes recoverable thing garbage bin, harmful garbage bin, wet garbage bin and dry garbage bin.
In order to improve the retention time of the historical related data of the intelligent garbage can, as an optimal technical scheme, the historical related data of the intelligent garbage can comprises identification time, identification results and classification results.
The invention has the advantages compared with the prior art that:
1. the garbage classification system can solve the problem that people cannot distinguish garbage types, can realize popularization and application as early as possible, can reduce environmental pollution and can reduce resource waste, a voice recognition module and an image recognition module are arranged on the garbage can to recognize garbage to be received, and after recognition is completed, the classification function is realized by inquiring classification data, and each corresponding garbage can is controlled by a control system to receive garbage according to classification results;
2. the garbage classification object proportion of each subset in the sequence set is compared similarly, so that the garbage classification object of the original picture sequence set is determined, and the garbage classification is more accurate and rapid.
Drawings
FIG. 1 is a schematic flow chart of an intelligent garbage classification system according to the present invention.
Fig. 2 is a diagram of the steps performed by the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
An intelligent garbage classification system comprises a cloud server, a plurality of intelligent classification garbage cans and a plurality of mobile intelligent terminals; the cloud server is characterized in that: the data control center mainly controls the orderly operation of the picture acquisition module, the data processing module, the data comparison module and the data evaluation classification module;
each of the plurality of intelligent classification garbage cans includes: the garbage collection device comprises a main body frame, a control module, a throwing module, a collection module, a compression module, a disinfection module, a voice recognition module, a garbage classification comparison module and a power supply module;
the mobile intelligent terminal runs intelligent classification garbage can matched software for inquiring history related data of the intelligent classification garbage can and inquiring classification type operation of the garbage according to the garbage name by a user;
the picture acquisition module is used for acquiring picture information of garbage;
the data processing module is used for classifying and sorting the picture information of the acquired garbage;
the data comparison module is used for comparing the classified and ordered picture information with the garbage classification comparison module to obtain similar information;
the data evaluation classification module is used for comparing the similar information with the standard information to obtain garbage classification information, transmitting the garbage classification information to the corresponding throwing module, opening the intelligent classification garbage can, throwing garbage by a user, and opening the disinfection module after throwing, so as to disinfect the inside of the intelligent classification garbage can;
the image acquisition module, the data processing module, the data comparison module and the data evaluation and classification module are electrically connected in sequence, and the image acquisition module, the data processing module, the data comparison module and the data evaluation and classification module are all connected with the cloud server;
in use, the operation process is complicated, and in order to solve the above problem, in an embodiment, the method includes the following steps:
step 1: collecting pictures needing to be classified into garbage through a camera, or collecting information needing to be classified into garbage through a voice recognition module, and obtaining a picture data set;
step 2: classifying and sorting different pictures according to the picture data set to obtain a picture sequence set;
step 3: the garbage classification comparison module is called to compare with each picture or garbage name in the picture sequence set, so that a similar comparison sequence set is obtained;
step 4: comparing each picture in the similar comparison sequence set with a standard classification sample picture set to obtain subset classification information in the similar comparison sequence set;
step 5: and obtaining the classification information of the subset in the picture sequence set according to the subset classification information of the similar comparison sequence set.
In general, the subset classification information of the similar comparison sequence set is in one-to-one correspondence with the classification information of the subset in the picture sequence set, i.e. the subset classification information of the similar comparison sequence set is identical with the classification information of the subset in the picture sequence set.
When the voice recognition system is used, voice recognition is not strong, in order to solve the problems, in the embodiment, the voice recognition module is divided into a networking online recognition mode and an networking-free offline recognition mode, parameter setting can be carried out through mobile phone software, the voice recognition system is matched with various intelligent sound boxes on the market for use in a networking mode, voice instructions are recognized through the intelligent sound boxes, and the voice recognition is carried out by the voice recognition module of the system in the networking-free mode so as to adapt to normal use in various application environments.
When in use, the intelligent classification garbage can is not suitable for storing various garbage classifications, and in order to solve the problems, in the embodiment, a plurality of intelligent classification garbage cans comprise recyclable garbage cans, harmful garbage cans, wet garbage cans and dry garbage cans.
In order to solve the above problem, in an embodiment, the history related data of the intelligent garbage can includes an identification time, an identification result and a classification result.
The image recognition module is used for recognizing the garbage by a camera arranged on the garbage can, displaying a recognition result through voice broadcasting or a display screen, simultaneously loading the garbage into the classified garbage can, and if the garbage is recognized by mistake, moving the garbage out of the recognition range and re-recognizing the garbage;
the voice recognition module can be used with the intelligent sound box online or independently, the name of the garbage can is called by voice, the garbage can is called by the name after responding, and the classification can is rotated after the garbage can is recognized and the garbage is classified;
the invention and its embodiments have been described above with no limitation, and the actual construction is not limited to the embodiments of the invention as shown in the drawings. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.

Claims (5)

1. An intelligent garbage classification system comprises a cloud server, a plurality of intelligent classification garbage cans and a plurality of mobile intelligent terminals; the cloud server is characterized in that: the data control center mainly controls the orderly operation of the picture acquisition module, the data processing module, the data comparison module and the data evaluation classification module;
each of the plurality of intelligent classification garbage cans includes: the garbage collection device comprises a main body frame, a control module, a throwing module, a collection module, a compression module, a disinfection module, a voice recognition module, a garbage classification comparison module and a power supply module;
the mobile intelligent terminal runs intelligent classification garbage can matched software for inquiring history related data of the intelligent classification garbage can and inquiring classification type operation of the garbage according to the garbage name by a user;
the picture acquisition module is used for acquiring picture information of garbage;
the data processing module is used for classifying and sorting the picture information of the acquired garbage;
the data comparison module is used for comparing the classified and ordered picture information with the garbage classification comparison module to obtain similar information;
the data evaluation classification module is used for comparing similar information with standard information to obtain garbage classification information, transmitting the garbage classification information to the corresponding throwing module, opening the intelligent classification garbage can, enabling a user to throw garbage, and opening the disinfection module after throwing is finished to disinfect the inside of the intelligent classification garbage can.
2. An intelligent garbage classification system according to claim 1, characterized in that: the method comprises the following steps:
step 1: collecting pictures needing to be classified into garbage through a camera, or collecting information needing to be classified into garbage through a voice recognition module, and obtaining a picture data set;
step 2: classifying and sorting different pictures according to the picture data set to obtain a picture sequence set;
step 3: the garbage classification comparison module is called to compare with each picture or garbage name in the picture sequence set, so that a similar comparison sequence set is obtained;
step 4: comparing each picture in the similar comparison sequence set with a standard classification sample picture set to obtain subset classification information in the similar comparison sequence set;
step 5: and obtaining the classification information of the subset in the picture sequence set according to the subset classification information of the similar comparison sequence set.
3. An intelligent garbage classification system according to claim 1, characterized in that: the voice recognition module is divided into a networking online recognition mode and an non-networking offline recognition mode, parameter setting can be carried out through mobile phone software, the voice recognition module is matched with various intelligent sound boxes on the market for use in a networking mode, the voice instruction is recognized by the intelligent sound box, and the voice recognition is performed by the voice recognition module of the machine in the networking-free mode so as to adapt to normal use in various application environments.
4. An intelligent garbage classification system according to claim 1, characterized in that: the intelligent classification garbage cans comprise recyclable garbage cans, harmful garbage cans, wet garbage cans and dry garbage cans.
5. An intelligent garbage classification system according to claim 1, characterized in that: the history related data of the intelligent garbage can comprise identification time, identification results and classification results.
CN202310218622.0A 2023-03-07 2023-03-07 Intelligent garbage classification system Pending CN116062335A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310218622.0A CN116062335A (en) 2023-03-07 2023-03-07 Intelligent garbage classification system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310218622.0A CN116062335A (en) 2023-03-07 2023-03-07 Intelligent garbage classification system

Publications (1)

Publication Number Publication Date
CN116062335A true CN116062335A (en) 2023-05-05

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310218622.0A Pending CN116062335A (en) 2023-03-07 2023-03-07 Intelligent garbage classification system

Country Status (1)

Country Link
CN (1) CN116062335A (en)

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Application publication date: 20230505