CN114212408A - Garbage classification system and method based on Internet of things - Google Patents
Garbage classification system and method based on Internet of things Download PDFInfo
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- CN114212408A CN114212408A CN202111579148.1A CN202111579148A CN114212408A CN 114212408 A CN114212408 A CN 114212408A CN 202111579148 A CN202111579148 A CN 202111579148A CN 114212408 A CN114212408 A CN 114212408A
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- 239000010813 municipal solid waste Substances 0.000 title claims abstract description 144
- 238000000034 method Methods 0.000 title claims abstract description 13
- 239000002699 waste material Substances 0.000 claims abstract description 22
- 239000010806 kitchen waste Substances 0.000 claims abstract description 18
- 230000003993 interaction Effects 0.000 claims abstract description 15
- 230000003213 activating effect Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
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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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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/168—Sensing means
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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
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/184—Weighing means
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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
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/20—Temperature sensing means
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention belongs to the technical field of garbage classification, and particularly relates to a garbage classification system and a method based on the Internet of things, wherein the garbage classification system comprises a human-computer interaction system, the human-computer interaction system is respectively connected with a face recognition unit, a voice recognition unit, an object recognition unit and a garbage classification unit, and the garbage classification unit is used for classifying garbage and can store the garbage which is not classified and articles; according to the invention, garbage is placed on the object identification unit, the weight sensor is used for detecting the weight of the garbage, the volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage; the kitchen waste is placed into the kitchen waste module, the recyclable object is placed into the recyclable object module, the harmful waste is placed into the harmful waste module, the uncertain object module is used for storing uncertain types of waste, and the storage module is used for storing articles of a user.
Description
Technical Field
The invention relates to the technical field of garbage classification, in particular to a garbage classification system and method based on the Internet of things.
Background
The purpose of garbage classification is to carry out shunting treatment on wastes, utilize the existing production and manufacturing capacity, recycle and recycle recovered products, including material utilization and energy utilization, and landfill disposal of useless garbage which can not be utilized temporarily, the garbage classification is an improvement of the traditional garbage collection and disposal mode, and is a scientific management method for effectively disposing garbage, people face the situation that the increasing garbage yield and environmental condition are worsened, how to realize the garbage resource utilization to the maximum extent through the garbage classification management, reduce the garbage disposal quantity, and improve the living environment state is an urgent problem which is commonly concerned by countries in the world at present, the reason of garbage increase is that the living standard of people is improved, various consumption is increased, and according to statistics, the clearing and transportation quantity of the urban garbage in the whole country in 1979 is more than 2500 million tons, and the clearing and transportation cost of the urban garbage in 1996 is 1.16 yuan/ton, the method is 4 times that of 1979, and garbage classification is to put garbage classification at the source and turn the garbage classification into resources again through the clearing and recycling of the classification.
The existing garbage classification mainly depends on the consciousness of users to classify and discard, a lot of users directly put garbage in a garbage bag to discard or the users do not know how to classify the garbage, so that the garbage can not be classified again after entering the garbage classification storage position, the accuracy of the garbage classification is low, and the classification effect is poor.
In order to solve the problems, the application provides a garbage classification system based on the internet of things and a method thereof.
Disclosure of Invention
Objects of the invention
In order to solve the technical problems in the background art, the invention provides a garbage classification system and a garbage classification method based on the Internet of things.
(II) technical scheme
In order to solve the problems, the invention provides a garbage classification system based on the Internet of things and a method thereof.
Preferably, the voice recognition unit is used for recognizing the semantics of the user and further controlling the human-computer interaction system according to the semantic retrieval instruction.
Preferably, the face recognition unit is used for recognizing face information of a user, and then inputting the face information into the man-machine interaction system for activating the man-machine interaction system
Preferably, the object recognition unit comprises a humidity sensor, a temperature sensor and an odor sensor, and the humidity sensor, the temperature sensor and the odor sensor jointly act to judge the type of the garbage.
Preferably, the object recognition unit further comprises a weight sensor and a volume sensor, the weight sensor is used for detecting the weight of the garbage, the volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage.
Preferably, the garbage classification unit comprises a kitchen waste module, a recyclable module and a harmful garbage module, wherein the kitchen waste is placed in the kitchen waste module, the recyclable module is placed in the recyclable module, and the harmful garbage is placed in the harmful garbage module.
Preferably, the garbage classification unit further comprises an indeterminate object module and a storage module, wherein the indeterminate object module is used for storing indeterminate types of garbage, and the storage module is used for storing articles of a user.
The garbage classification method based on the Internet of things is suitable for a garbage classification system based on the Internet of things, and comprises the following classification steps:
s1, placing the garbage on an article identification unit, wherein a weight sensor is used for detecting the weight of the garbage, a volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage;
s2, placing the kitchen waste into the kitchen waste module, placing the recyclable into the recyclable module, placing the harmful waste into the harmful waste module, placing the uncertain type waste into the uncertain type waste module, and placing the storage module for storing articles of a user.
The technical scheme of the invention has the following beneficial technical effects:
the garbage is placed on the article identification unit, the weight sensor is used for detecting the weight of the garbage, the volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage; the kitchen waste is placed into the kitchen waste module, the recyclable object is placed into the recyclable object module, the harmful waste is placed into the harmful waste module, the uncertain object module is used for storing uncertain types of waste, and the storage module is used for storing articles of a user.
Drawings
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a schematic block diagram of an object recognition unit according to the present invention;
FIG. 3 is a schematic block diagram of a garbage classification unit according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1 to 3, the internet of things-based garbage classification system and the method thereof provided by the invention comprise a human-computer interaction system, wherein the human-computer interaction system is respectively connected with a face recognition unit, a voice recognition unit, an object recognition unit and a garbage classification unit, and the garbage classification unit is used for classifying garbage and can store garbage which is not classified and articles.
In this embodiment, it should be noted that the voice recognition unit is configured to recognize a semantic meaning of a user, and further control the human-computer interaction system according to a semantic retrieval instruction.
In this embodiment, it should be noted that the face recognition unit is configured to recognize face information of a user, and further enter the face information into the human-computer interaction system to activate the human-computer interaction system
In this embodiment, it should be noted that the object identification unit includes a humidity sensor, a temperature sensor, and an odor sensor, and the humidity sensor, the temperature sensor, and the odor sensor jointly act to further determine the type of the garbage.
In this embodiment, it should be noted that the object identification unit further includes a weight sensor and a volume sensor, the weight sensor is used for detecting the weight of the garbage, the volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the odor of the garbage.
In this embodiment, it should be noted that the garbage classification unit includes a kitchen waste module, a recyclable module, and a harmful garbage module, and the kitchen waste is placed in the kitchen waste module, the recyclable module is placed in the recyclable module, and the harmful garbage is placed in the harmful garbage module.
In this embodiment, it should be noted that the garbage sorting unit further includes an indeterminate object module and a storage module, the indeterminate object module is used for storing indeterminate types of garbage, and the storage module is used for storing articles of a user.
The garbage classification method based on the Internet of things is suitable for a garbage classification system based on the Internet of things, and comprises the following classification steps:
s1, placing the garbage on an article identification unit, wherein a weight sensor is used for detecting the weight of the garbage, a volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage;
s2, placing the kitchen waste into the kitchen waste module, placing the recyclable into the recyclable module, placing the harmful waste into the harmful waste module, placing the uncertain type waste into the uncertain type waste module, and placing the storage module for storing articles of a user.
The working principle is as follows: the garbage is placed on the article identification unit, the weight sensor is used for detecting the weight of the garbage, the volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage; the kitchen waste is placed into the kitchen waste module, the recyclable object is placed into the recyclable object module, the harmful waste is placed into the harmful waste module, the uncertain object module is used for storing uncertain types of waste, and the storage module is used for storing articles of a user.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention.
Claims (8)
1. The garbage classification system based on the Internet of things is characterized by comprising a human-computer interaction system, wherein the human-computer interaction system is respectively connected with a face recognition unit, a voice recognition unit, an object recognition unit and a garbage classification unit, and the garbage classification unit is used for classifying garbage and storing uncertain classified garbage and storing articles.
2. The internet-of-things-based garbage classification system according to claim 1, wherein the voice recognition unit is used for recognizing the semantics of a user and retrieving an instruction according to the semantics so as to control a human-computer interaction system.
3. The internet-of-things-based garbage classification system according to claim 1, wherein the face recognition unit is used for recognizing face information of a user, and then inputting the face information into the human-computer interaction system for activating the human-computer interaction system.
4. The internet-of-things-based garbage classification system according to claim 1, wherein the object recognition unit comprises a humidity sensor, a temperature sensor and an odor sensor, and the humidity sensor, the temperature sensor and the odor sensor jointly act to further judge the type of garbage.
5. The internet-of-things-based garbage classification system according to claim 4, wherein the object recognition unit further comprises a weight sensor and a volume sensor, the weight sensor is used for detecting the weight of the garbage, the volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage.
6. The internet of things-based garbage classification system according to claim 1, wherein the garbage classification unit comprises a kitchen garbage module, a recyclable module and a harmful garbage module, the kitchen garbage is placed in the kitchen garbage module, the recyclable module is placed in the recyclable module, and the harmful garbage is placed in the harmful garbage module.
7. The internet of things-based garbage classification system according to claim 1, wherein the garbage classification unit further comprises an uncertain object module and a storage module, the uncertain object module is used for storing uncertain types of garbage, and the storage module is used for storing articles of users.
8. The garbage classification method based on the Internet of things is characterized by being applied to the garbage classification system based on the Internet of things of any one of claims 1 to 7, and comprising the following classification steps:
s1, placing the garbage on an article identification unit, wherein a weight sensor is used for detecting the weight of the garbage, a volume sensor is used for detecting the volume of the garbage, the density of the garbage can be calculated according to the volume and the weight of the garbage, and the type of the garbage can be obtained by combining the temperature, the humidity and the smell of the garbage;
s2, placing the kitchen waste into the kitchen waste module, placing the recyclable into the recyclable module, placing the harmful waste into the harmful waste module, placing the uncertain type waste into the uncertain type waste module, and placing the storage module for storing articles of a user.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111579148.1A CN114212408A (en) | 2021-12-22 | 2021-12-22 | Garbage classification system and method based on Internet of things |
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| CN202111579148.1A CN114212408A (en) | 2021-12-22 | 2021-12-22 | Garbage classification system and method based on Internet of things |
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| CN105936395A (en) * | 2016-06-24 | 2016-09-14 | 成都天航智虹企业管理咨询有限公司 | Household garbage container |
| CN107310880A (en) * | 2017-08-04 | 2017-11-03 | 杭州利安环境工程有限公司 | The classification intelligent sound identifying system of rubbish four |
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-
2021
- 2021-12-22 CN CN202111579148.1A patent/CN114212408A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101482742A (en) * | 2008-01-09 | 2009-07-15 | 阿尔伯托·罗贝塔 | Garbage can and garbage collecting and transporting system |
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Application publication date: 20220322 |