CN113697321A - Garbage bag coding system for garbage classification station - Google Patents
Garbage bag coding system for garbage classification station Download PDFInfo
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- CN113697321A CN113697321A CN202111089097.4A CN202111089097A CN113697321A CN 113697321 A CN113697321 A CN 113697321A CN 202111089097 A CN202111089097 A CN 202111089097A CN 113697321 A CN113697321 A CN 113697321A
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- 238000012549 training Methods 0.000 claims description 10
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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
- B65F2210/112—Coding means to aid in recycling
- B65F2210/1123—Bar-codes
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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
- B65F2210/138—Identification 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
- B65F2210/176—Sorting means
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Abstract
The invention relates to garbage classification, in particular to a garbage bag coding system for a garbage classification station, which comprises a front-end data processing unit arranged on the garbage classification station and a background data service unit arranged on a background, wherein the background data service unit constructs a voiceprint feature recognition model, matches and binds resident identity information and voiceprint features, and provides data support service for the front-end data processing unit; the front-end data processing unit judges user identity information according to the voiceprint characteristics, judges the garbage category according to user semantics and prints corresponding bar codes according to the user identity information and the garbage category; the technical scheme provided by the invention can effectively overcome the defect that the source tracing management of the garbage throwing is inconvenient in the prior art.
Description
Technical Field
The invention relates to garbage classification, in particular to a garbage bag code assigning system for a garbage classification station.
Background
In recent years, with the rapid development of global economy and the rapid increase of population, the urban scale is gradually enlarged, so that the quantity of urban domestic garbage is increased sharply, and the urban domestic garbage is increasingly degraded into a global crisis. The problems of land erosion, environmental pollution and the like caused by the 'garbage enclosing city' not only seriously threaten public health, but also become one of the factors influencing and restricting the sustainable development of cities. The encumbrance of the 'garbage enclosure' needs to reduce the urban domestic garbage from the source and complete the garbage recycling and harmless treatment, so that the promotion of the domestic garbage classification becomes an urgent task.
In the existing garbage classification implementation, a garbage classification station is usually arranged in a community or a residential area, and a special classification garbage bag is distributed to residents. However, in the actual implementation process, whether each household classifies garbage and correctly puts the garbage cannot be effectively verified, and the implementation of garbage classification completely depends on the conscious of the household.
Through strong propaganda advocate, improve the subjective nature of resident, the effect is very little, can't really implement effectively rubbish classification, even want to establish the management system, because the resident quantity is huge, also can't find the resident of putting the mistake, manual management is complicated, and administrative cost is higher. If the related information such as the names of the residents is marked on the garbage bags, the management is convenient, but the privacy of the users is revealed, the garbage bags are easy to counterfeit, and a plurality of management hidden dangers exist.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a garbage bag coding system for a garbage classification station, which can effectively overcome the defect that the garbage throwing is inconvenient to carry out traceability management in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a garbage bag code assigning system for a garbage classification station comprises a front-end data processing unit arranged on the garbage classification station and a background data service unit arranged on a background, wherein the background data service unit constructs a voiceprint feature recognition model, matches and binds resident identity information and voiceprint features, and provides data support service for the front-end data processing unit;
the front-end data processing unit judges the user identity information according to the voiceprint characteristics, judges the garbage category according to the user semantics, and prints corresponding bar codes according to the user identity information and the garbage category.
Preferably, the background data service unit comprises a server, the server constructs and trains a voiceprint feature recognition model through a voiceprint feature recognition model generation module, the server receives a householder input audio through an audio input module and processes the householder input audio through a back-end audio processing module, and the back-end audio processing module sends the processed householder input audio to the voiceprint feature recognition model for voiceprint feature recognition;
the server receives the input resident identity information through the identity information input module, and the server performs information matching binding on the recognized voiceprint features and the resident identity information through the information matching binding module and stores the information to the back-end data storage module.
Preferably, the audio entry module acquires an audio stream of the resident, and performs segmentation processing on the audio stream according to the shortest recognition duration.
Preferably, the back-end audio processing module performs noise reduction and fourier transform on each audio segment, and respectively processes and generates a spectrogram corresponding to each audio segment according to a fourier transform result, wherein a horizontal axis in the spectrogram represents duration of an audio signal, and a vertical axis represents frequency of the audio signal.
Preferably, the voiceprint feature recognition model generation module constructs a voiceprint feature recognition model comprising a convolutional neural network and a long-short term memory network which are connected in series to construct a neural network, and inputs a spectrogram corresponding to each audio fragment processed and generated by the back-end audio processing module into the voiceprint feature recognition model for model training.
Preferably, when the voiceprint feature recognition model generation module judges that the fluctuation value of the voiceprint feature recognition accuracy of the voiceprint feature recognition model is smaller than the threshold value, the voiceprint feature recognition model generation module stops model training, and the server sends the trained voiceprint feature recognition model to the front-end data processing unit;
the voiceprint feature recognition model generation module inputs a spectrogram corresponding to the audio clip into the voiceprint feature recognition model for model training, and a convolutional neural network in the neural network processes the spectrogram firstly.
Preferably, after the information matching and binding module stores the voiceprint features and the resident identity information which are matched and bound into the back-end data storage module, the server sends the voiceprint features and the resident identity information which are matched and bound into the front-end data processing unit;
the resident identity information comprises a resident cell, a resident period or area, a resident building, a resident unit, a resident floor, a resident house number and a resident name.
Preferably, the front-end data processing unit comprises a controller, the controller receives and stores the voiceprint characteristics, the resident identity information and the voiceprint characteristic identification model which are sent by the server and matched and bound through a front-end data storage module, the controller receives the user audio through a sound collection module, and the controller judges the garbage category through a semantic identification module;
the controller processes user audio through the front-end audio processing module, the front-end audio processing module sends the processed user audio to the voiceprint feature recognition module for voiceprint feature recognition, the controller utilizes the voiceprint feature comparison module to compare and judge voiceprint features recognized by the voiceprint feature recognition module with voiceprint features in the front-end data storage module, the controller acquires user identity information from the front-end data storage module through the identity information judgment module, and the controller prints corresponding barcodes through the barcode printing module according to the user identity information and garbage categories.
Preferably, the voiceprint feature recognition module periodically calls the latest voiceprint feature recognition model from the front-end data storage module;
the voiceprint feature comparison module traverses the voiceprint features in the front-end data storage module to find whether voiceprint features with the voiceprint feature similarity larger than a threshold value and identified by the voiceprint feature identification module exist, and the identity information judgment module calls the resident identity information corresponding to the voiceprint features with the voiceprint feature similarity larger than the threshold value and identified by the voiceprint feature identification module from the front-end data storage module.
Preferably, the garbage can also comprises a barcode scanning module and a can door control module, wherein the controller scans a barcode on the garbage bag through the barcode scanning module, controls the can door corresponding to garbage classification through the can door control module, and simultaneously stores the garbage throwing record in the front-end data storage module.
(III) advantageous effects
Compared with the prior art, the garbage bag coding system for the garbage classification station provided by the invention has the advantages that a background data service unit is utilized to construct a voiceprint feature recognition model, resident identity information and voiceprint features are matched and bound, and meanwhile, data support service is provided for a front-end data processing unit; the front-end data processing unit judges user identity information according to voiceprint characteristics, judges the garbage category according to user semantics, and prints a corresponding bar code according to the user identity information and the garbage category, so that bar codes related to the user identity information and the garbage category can be generated, effective traceability can be performed through the bar codes at the later stage, and garbage classification management is more convenient and reliable.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a system diagram of a background data service unit according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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.
A garbage bag code assigning system for a garbage classification station is disclosed, as shown in fig. 1 and fig. 2, and comprises a front-end data processing unit arranged on the garbage classification station and a background data service unit arranged on a background, wherein the background data service unit constructs a voiceprint feature recognition model, matches and binds resident identity information and voiceprint features, and provides data support service for the front-end data processing unit;
the front-end data processing unit judges the user identity information according to the voiceprint characteristics, judges the garbage category according to the user semantics, and prints a corresponding bar code according to the user identity information and the garbage category.
As shown in fig. 2, the background data service unit includes a server, the server constructs and trains a voiceprint feature recognition model through a voiceprint feature recognition model generation module, the server receives a resident recorded audio through an audio recording module, and processes the resident recorded audio through a back-end audio processing module, and the back-end audio processing module sends the processed resident recorded audio to the voiceprint feature recognition model for voiceprint feature recognition;
the server receives the input resident identity information through the identity information input module, and the server performs information matching binding on the recognized voiceprint features and the resident identity information through the information matching binding module and stores the information to the back-end data storage module.
Before the implementation of the technical scheme, the association binding of the voiceprint characteristics and the resident identity information is required to be carried out by the resident in the background data service unit, and the specific process is as follows:
the audio input module acquires the audio stream of the resident and performs segmented processing on the audio stream according to the shortest identification duration;
the identity information input module inputs the identity information of the residents including residential quarter, residential period or region, residential building, residential unit, residential floor, residential house number and resident name;
the back-end audio processing module carries out noise reduction processing and Fourier transform on each audio clip, respectively processes and generates a spectrogram corresponding to each audio clip according to a Fourier transform result (a horizontal axis in the spectrogram represents the duration time of an audio signal, and a vertical axis represents the frequency of the audio signal), and sends the spectrogram to a trained voiceprint feature recognition model for voiceprint recognition;
and the information matching and binding module performs information matching and binding on the recognized voiceprint characteristics and the recognized resident identity information and stores the information to the back-end data storage module.
In addition, after the information matching and binding module stores the voiceprint characteristics and the resident identity information which are matched and bound into the rear-end data storage module, the server sends the voiceprint characteristics and the resident identity information which are matched and bound into the front-end data processing unit.
In the technical scheme of this application, need carry out model training to the voiceprint feature recognition model that voiceprint feature recognition model generation module constructed, specifically include:
the voiceprint feature recognition model generation module is used for constructing a voiceprint feature recognition model comprising a convolutional neural network and a long-short term memory network which are connected in series to construct the neural network, and a spectrogram corresponding to each audio fragment processed and generated by the rear-end audio processing module is input into the voiceprint feature recognition model for model training;
when the voiceprint feature recognition model generation module judges that the fluctuation value of the voiceprint feature recognition accuracy of the voiceprint feature recognition model is smaller than the threshold value, the voiceprint feature recognition model generation module stops model training, and the server sends the trained voiceprint feature recognition model to the front-end data processing unit.
In addition, the voice print characteristic recognition model generation module inputs the spectrogram corresponding to the audio fragment into the voice print characteristic recognition model for model training, and a convolution neural network in the neural network processes the spectrogram firstly.
As shown in fig. 1, the front-end data processing unit includes a controller, the controller receives and stores the voiceprint feature, the resident identity information, and the voiceprint feature recognition model, which are sent by the server and are matched and bound, through the front-end data storage module, the controller receives the user audio through the sound collection module, and the controller judges the garbage category through the semantic recognition module;
the controller processes the user audio through the front-end audio processing module, the front-end audio processing module sends the processed user audio to the voiceprint feature recognition module for voiceprint feature recognition, the controller utilizes the voiceprint feature comparison module to compare and judge the voiceprint feature recognized by the voiceprint feature recognition module with the voiceprint feature in the front-end data storage module, the controller acquires the user identity information from the front-end data storage module through the identity information judgment module, and the controller prints corresponding barcodes through the barcode printing module according to the user identity information and the garbage category.
The controller receives the user audio through the sound collection module, and when the user inputs the audio, the sound collection module can be awakened through the keys arranged on the garbage classification station, and the user can throw the garbage according to the category (including harmful garbage, recoverable objects, kitchen garbage, other garbage and the like).
The front-end audio processing module carries out noise reduction processing and Fourier transformation on the audio clips, and respectively processes and generates spectrogram corresponding to the audio clips according to Fourier transformation results (the horizontal axis in the spectrogram represents the duration time of the audio signals, and the vertical axis represents the frequency of the audio signals).
The voiceprint feature comparison module traverses the voiceprint features in the front-end data storage module and searches whether the voiceprint features with the similarity larger than a threshold value with the voiceprint features identified by the voiceprint feature identification module exist. The identity information judging module calls the resident identity information corresponding to the voiceprint features with the voiceprint feature similarity larger than the threshold value and identified by the voiceprint feature identification module from the front-end data storage module, and the controller prints corresponding barcodes through the barcode printing module according to the user identity information and the garbage categories.
In addition, the front-end data storage module receives and stores the voiceprint characteristics, the resident identity information and the voiceprint characteristic identification model which are sent by the server and matched and bound, and the voiceprint characteristic identification module periodically calls the latest voiceprint characteristic identification model from the front-end data storage module.
In this application technical scheme, still include bar code scanning module, case door control module, the controller passes through the bar code on the bar code scanning module scanning disposal bag to correspond refuse classification's chamber door through case door control module control, throw the record with this rubbish simultaneously and save in front end data storage module, the later stage of being convenient for is effectively traced to the source through the bar code, makes refuse classification management more convenient and reliable.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The utility model provides a garbage bag coding system for garbage classification station which characterized in that: the system comprises a front-end data processing unit arranged in a garbage classification station and a background data service unit arranged in a background, wherein the background data service unit constructs a voiceprint feature recognition model, matches and binds resident identity information and voiceprint features, and provides data support service for the front-end data processing unit;
the front-end data processing unit judges the user identity information according to the voiceprint characteristics, judges the garbage category according to the user semantics, and prints corresponding bar codes according to the user identity information and the garbage category.
2. The trash bag coding system for a trash sorting station of claim 1, wherein: the background data service unit comprises a server, the server constructs and trains a voiceprint feature recognition model through a voiceprint feature recognition model generation module, the server receives a resident input audio through an audio input module and processes the resident input audio through a rear-end audio processing module, and the rear-end audio processing module sends the processed resident input audio to the voiceprint feature recognition model for voiceprint feature recognition;
the server receives the input resident identity information through the identity information input module, and the server performs information matching binding on the recognized voiceprint features and the resident identity information through the information matching binding module and stores the information to the back-end data storage module.
3. The trash bag coding system for a trash sorting station of claim 2, wherein: and the audio input module acquires the audio stream of the resident and performs segmented processing on the audio stream according to the shortest identification duration.
4. The trash bag coding system for a trash sorting station of claim 3, wherein: the rear-end audio processing module carries out noise reduction processing and Fourier transform on each audio clip, and respectively processes and generates a spectrogram corresponding to each audio clip according to Fourier transform results, wherein the horizontal axis in the spectrogram represents the duration time of an audio signal, and the vertical axis represents the frequency of the audio signal.
5. The trash bag coding system for a trash sorting station of claim 4, wherein: the voiceprint feature recognition model generation module is used for constructing a voiceprint feature recognition model which comprises a convolutional neural network and a long-short term memory network which are connected in series to construct the neural network, and a speech spectrogram corresponding to each audio fragment processed and generated by the rear-end audio processing module is input into the voiceprint feature recognition model for model training.
6. The trash bag coding system for a trash sorting station of claim 5, wherein: when the voiceprint feature recognition model generation module judges that the fluctuation value of the voiceprint feature recognition accuracy of the voiceprint feature recognition model is smaller than the threshold value, the voiceprint feature recognition model generation module stops model training, and the server sends the trained voiceprint feature recognition model to the front-end data processing unit;
the voiceprint feature recognition model generation module inputs a spectrogram corresponding to the audio clip into the voiceprint feature recognition model for model training, and a convolutional neural network in the neural network processes the spectrogram firstly.
7. The trash bag coding system for a trash sorting station of claim 2, wherein: the information matching and binding module stores the voiceprint characteristics and the resident identity information which are matched and bound into the back-end data storage module, and the server sends the voiceprint characteristics and the resident identity information which are matched and bound into the front-end data processing unit;
the resident identity information comprises a resident cell, a resident period or area, a resident building, a resident unit, a resident floor, a resident house number and a resident name.
8. A trash bag coding system for a trash sorting station according to claim 1 or 2, characterized in that: the front-end data processing unit comprises a controller, the controller receives and stores voiceprint characteristics, resident identity information and a voiceprint characteristic recognition model which are sent by the server and matched and bound through a front-end data storage module, the controller receives user audio through a sound acquisition module, and the controller judges the garbage category through a semantic recognition module;
the controller processes user audio through the front-end audio processing module, the front-end audio processing module sends the processed user audio to the voiceprint feature recognition module for voiceprint feature recognition, the controller utilizes the voiceprint feature comparison module to compare and judge voiceprint features recognized by the voiceprint feature recognition module with voiceprint features in the front-end data storage module, the controller acquires user identity information from the front-end data storage module through the identity information judgment module, and the controller prints corresponding barcodes through the barcode printing module according to the user identity information and garbage categories.
9. The trash bag coding system for a trash sorting station of claim 8, wherein: the voiceprint feature recognition module calls the latest voiceprint feature recognition model from the front-end data storage module at regular intervals;
the voiceprint feature comparison module traverses the voiceprint features in the front-end data storage module to find whether voiceprint features with the voiceprint feature similarity larger than a threshold value and identified by the voiceprint feature identification module exist, and the identity information judgment module calls the resident identity information corresponding to the voiceprint features with the voiceprint feature similarity larger than the threshold value and identified by the voiceprint feature identification module from the front-end data storage module.
10. The trash bag coding system for a trash sorting station of claim 9, wherein: still include bar code scanning module, chamber door control module, the controller passes through the bar code scanning module and scans the bar code on the disposal bag to correspond rubbish categorised chamber door through the control of chamber door control module, throw the record with this rubbish simultaneously and save in front end data storage module.
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