CN112052963A - Waste material classification and value evaluation device capable of conducting autonomous learning - Google Patents

Waste material classification and value evaluation device capable of conducting autonomous learning Download PDF

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CN112052963A
CN112052963A CN202010685053.7A CN202010685053A CN112052963A CN 112052963 A CN112052963 A CN 112052963A CN 202010685053 A CN202010685053 A CN 202010685053A CN 112052963 A CN112052963 A CN 112052963A
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张洋
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    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W90/00—Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation

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Abstract

The invention discloses an independently learnable waste object classification and value evaluation device, which solves the problem that manual classification has errors and also solves the problem that the device cannot be independently learnt and updated. The system comprises an information collection module, a processor module, a data center module, a local server, a network server, an information processing module, an automatic classification module, a sensor module, an appearance scanning module, a data storage module, a data analysis module, an information retrieval module, an information downloading module, an element analysis module, a value evaluation module, an article classification module and a value classification module, wherein the information collection module is connected with the processor module, the processor module is connected with the data center module, the data center module is connected with the local server, the local server is connected with the network server, the processor module is connected with the information processing module, and the processor module is connected with the automatic classification module.

Description

Waste material classification and value evaluation device capable of conducting autonomous learning
Technical Field
The invention relates to the technical field of wastes, in particular to a waste sorting and value evaluation device capable of independently learning.
Background
Waste (waste) is defined as: the materials generated in the process of human survival and development and having no continuous preservation and utilization value for the holders. The definition of waste varies from country to country in the world. As in japan's law on waste disposal and cleaning, waste is defined as: garbage, coarse garbage, ash, sludge, manure, waste oil, waste acid, waste alkali, animal carcasses and other dirt and unwanted, solid and liquid substances. The U.S. resource conservation and recovery act defines waste as one of the resources.
When the existing waste classifying and value evaluating device is used, the waste needs to be manually checked and classified, the classification may be wrong due to manual operation, and the device cannot be independently learned and updated, so that the classifying measures and means are older and the working efficiency is lowered.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the waste object classification and value evaluation device capable of learning autonomously, which solves the problem that manual classification has errors and also solves the problem that the device cannot learn and update autonomously.
In order to achieve the purpose, the invention is realized by the following technical scheme: the device comprises an information collection module, a processor module, a data center module, a local server, a network server, an information processing module, an automatic classification module, a sensor module, an appearance scanning module, a data storage module, a data analysis module, an information retrieval module, an information downloading module, an element analysis module, a value evaluation module, an article classification module and a value classification module, wherein the information collection module is connected with the processor module, the processor module is connected with the data center module, the data center module is connected with the local server, the local server is connected with the network server, the processor module is connected with the information processing module, and the processor module is connected with the automatic classification module.
Preferably, the information collection module comprises a sensor module and an appearance scanning module, and the sensor module is connected with the appearance scanning module.
Preferably, the data center module comprises a data storage module and a data analysis module, and the data storage module is connected with the data analysis module.
Preferably, the local server includes an information retrieval module and an information download module, and the information retrieval module is connected to the information download module.
Preferably, the information processing module comprises an element analysis module and a value evaluation module, and the element analysis module is connected with the value evaluation module.
Preferably, the automatic classification module comprises an article classification module and a value classification module, and the article classification module is connected with the value classification module.
Advantageous effects
The invention provides an autonomous learning waste object classification and value evaluation device. The method has the following beneficial effects: the waste classifying and value evaluating device capable of learning autonomously is convenient for collecting information of waste through designing the information collecting module, analyzing and evaluating elements and values of the waste through the information processing module, and classifying the values or characteristics of the waste according to different requirements through the automatic classifying module, so that the classifying effect is more accurate;
through the connection of the local server and the network server, the data in the data center module can be updated in real time, the data center module has the ability of autonomous learning, the operation of the processor module needs to be based on the data center, the data is kept in the latest state, the processing and classifying ability of the processor module on the information processing module and the automatic classification module is more efficient, and the working efficiency is improved in a phase-changing manner.
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FIG. 1 is a schematic diagram of the system of the present invention.
In the figure: 1. an information collection module; 2. a processor module; 3. a data center module; 4. a local server; 5. a network server; 6. an information processing module; 7. an automatic classification module; 11. a sensor module; 12. an appearance scanning module; 31. a data storage module; 32. a data analysis module; 41. an information retrieval module; 42. an information downloading module; 61. an element analysis module; 62. a value evaluation module; 71. an article sorting module; 72. and a value classification module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an autonomous learning waste classification and value evaluation device comprises an information collection module 1, a processor module 2, a data center module 3, a local server 4, a network server 5, an information processing module 6, an automatic classification module 7, a sensor module 11, an appearance scanning module 12, a data storage module 31, a data analysis module 32, an information retrieval module 41, an information downloading module 42, an element analysis module 61, a value evaluation module 62, an article classification module 71 and a value classification module 72, wherein the information collection module 1 is connected with the processor module 2, information collected by the information collection module 1 is processed by the processor module 2, the processor module 2 is connected with the data center module 3, the processing mode of the processor module 2 is required to be carried out based on the data center module 3, and the data center module 3 is connected with the local server 4, data in the data center module 3 are updated through the local server 4, the local server 4 is connected with the network server 5, the local server 4 retrieves and downloads data through the network server 5, the processor module 2 is connected with the information processing module 6, the information processing module 6 is used for processing collected information, the processor module 2 is connected with the automatic classification module 7, and the automatic classification module 7 is used for classifying waste materials with different requirements.
The information collection module 1 comprises a sensor module 11 and an appearance scanning module 12, wherein the sensor module 11 is used for collecting element information, the appearance scanning module 12 is used for collecting information of the appearance of the waste, and the sensor module 11 is connected with the appearance scanning module 12.
The data center module 3 comprises a data storage module 31 and a data analysis module 32, the data storage module 31 is used for storing data information, the data analysis module 32 is used for analyzing and comparing the data information, and the data storage module 31 is connected with the data analysis module 32.
The local server 4 comprises an information retrieval module 41 and an information downloading module 42, wherein the information retrieval module 41 is used for retrieving unknown information, the information downloading module 42 is used for downloading information, and the information retrieval module 41 is connected with the information downloading module 42.
The information processing module 6 comprises an element analysis module 61 and a value evaluation module 62, wherein the element analysis module 61 is used for analyzing elements of the waste, the value evaluation module 62 is used for evaluating the value of the waste, and the element analysis module 61 is connected with the value evaluation module 62.
The automatic classification module 7 comprises an article classification module 71 and a value classification module 72, wherein the article classification module 71 is used for classifying the waste articles of similar element articles, the value classification module 72 is used for classifying the waste articles of similar values, and the article classification module 71 is connected with the value classification module 72.
The working principle is as follows: the information collection module 1 collects the information of the waste, the sensor module 11 collects the element information of the waste, the appearance scanning module 12 scans the appearance of the waste, the scanned information is transmitted to the processor module 2, the processor module 2 transmits the information to be processed to the data center module 3, the data center module 3 is connected with the network server 5 through the local server 4 for data information retrieval and downloading, the downloaded information is stored in the data center module 3 through the data storage module 31, the data center module 3 feeds the information back to the processor module 2, the element analysis module 61 in the information processing module 6 analyzes the element information of the waste, the value evaluation module 62 evaluates the value of the waste, and the processed information is transmitted to the data center module 3 through the processor module 2, the processed elements and value information are analyzed through the stored data in the data center module 3, automatic classification of the waste is realized through connection of the processor module 2 and the automatic classification module 7, waste classification of similar element articles is performed through the article classification module 71, the waste is classified according to different values through the value classification module 72, the purpose of automatic classification is achieved, and the data in the data center module 3 is updated in real time, so that the device has the ability of autonomous learning, and the working efficiency is improved.
The invention has the beneficial effects that: the waste classifying and value evaluating device capable of learning autonomously is convenient for collecting information of waste through the design of the information collecting module 1, analyzes and evaluates elements and values of the waste through the information processing module 6, and classifies the values or characteristics of the waste according to different requirements through the automatic classifying module 7, so that the classifying effect is more accurate;
through the connection of the local server 4 and the network server 5, the data in the data center module 3 can be updated in real time, the data center module has the ability of autonomous learning, the operation of the processor module 2 needs to be based on the data center, the data is kept in the latest state, the processing and classifying abilities of the processor module 2 on the information processing module 6 and the automatic classification module 7 are more efficient, and the work efficiency is improved in a phase-changing manner.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1. The utility model provides a but independent learning's junk classification and value evaluation device, includes information collection module (1), processor module (2), data center module (3), local server (4), network server (5), information processing module (6), automatic classification module (7), sensor module (11), outward appearance scanning module (12), data storage module (31), data analysis module (32), information retrieval module (41), information download module (42), element analysis module (61), value evaluation module (62), article classification module (71), value classification module (72), its characterized in that: the information collection system is characterized in that the information collection module (1) is connected with the processor module (2), the processor module (2) is connected with the data center module (3), the data center module (3) is connected with the local server (4), the local server (4) is connected with the network server (5), the processor module (2) is connected with the information processing module (6), and the processor module (2) is connected with the automatic classification module (7).
2. The apparatus for classifying and evaluating an autonomously learnable junk according to claim 1, wherein: the information collection module (1) comprises a sensor module (11) and an appearance scanning module (12), wherein the sensor module (11) is connected with the appearance scanning module (12).
3. The apparatus for classifying and evaluating an autonomously learnable junk according to claim 1, wherein: the data center module (3) comprises a data storage module (31) and a data analysis module (32), and the data storage module (31) is connected with the data analysis module (32).
4. The apparatus for classifying and evaluating an autonomously learnable junk according to claim 1, wherein: the local server (4) comprises an information retrieval module (41) and an information downloading module (42), wherein the information retrieval module (41) is connected with the information downloading module (42).
5. The apparatus for classifying and evaluating an autonomously learnable junk according to claim 1, wherein: the information processing module (6) comprises an element analysis module (61) and a value evaluation module (62), and the element analysis module (61) is connected with the value evaluation module (62).
6. The apparatus for classifying and evaluating an autonomously learnable junk according to claim 1, wherein: the automatic classification module (7) comprises an article classification module (71) and a value classification module (72), and the article classification module (71) is connected with the value classification module (72).
CN202010685053.7A 2020-07-16 2020-07-16 Waste material classification and value evaluation device capable of conducting autonomous learning Pending CN112052963A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106886825A (en) * 2017-04-01 2017-06-23 贵州大学 A kind of waste mold transaction recovery system and its transaction recovery method
CN110263952A (en) * 2019-06-25 2019-09-20 吴昶炜 A kind of electronic product intelligence recovery system
CN110712891A (en) * 2019-08-30 2020-01-21 杨亚 Garbage classification supervision system
CN111222949A (en) * 2020-01-03 2020-06-02 重庆特斯联智慧科技股份有限公司 Community waste resource sharing method and system based on deep learning

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106886825A (en) * 2017-04-01 2017-06-23 贵州大学 A kind of waste mold transaction recovery system and its transaction recovery method
CN110263952A (en) * 2019-06-25 2019-09-20 吴昶炜 A kind of electronic product intelligence recovery system
CN110712891A (en) * 2019-08-30 2020-01-21 杨亚 Garbage classification supervision system
CN111222949A (en) * 2020-01-03 2020-06-02 重庆特斯联智慧科技股份有限公司 Community waste resource sharing method and system based on deep learning

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