CN117465862A - Intelligent garbage can management method and device - Google Patents
Intelligent garbage can management method and device Download PDFInfo
- Publication number
- CN117465862A CN117465862A CN202311679186.3A CN202311679186A CN117465862A CN 117465862 A CN117465862 A CN 117465862A CN 202311679186 A CN202311679186 A CN 202311679186A CN 117465862 A CN117465862 A CN 117465862A
- Authority
- CN
- China
- Prior art keywords
- garbage
- target
- domain signal
- classification
- frequency domain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000010813 municipal solid waste Substances 0.000 title claims abstract description 468
- 238000007726 management method Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 35
- 238000013145 classification model Methods 0.000 claims description 16
- 238000004140 cleaning Methods 0.000 claims description 13
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 238000012545 processing Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000012549 training Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000003860 storage Methods 0.000 description 6
- 238000013527 convolutional neural network Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 4
- 239000011521 glass Substances 0.000 description 3
- 239000002184 metal Substances 0.000 description 3
- 229910052751 metal Inorganic materials 0.000 description 3
- 239000004033 plastic Substances 0.000 description 3
- 229920003023 plastic Polymers 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 231100001261 hazardous Toxicity 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 230000001580 bacterial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000009432 framing Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 150000002739 metals Chemical class 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000005022 packaging material Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- 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
- B65F1/1484—Other constructional features; Accessories relating to the adaptation of receptacles to carry identification means
-
- 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
-
- 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
- B65F1/16—Lids or covers
- B65F1/1623—Lids or covers with means for assisting the opening or closing thereof, e.g. springs
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/10—Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The application provides an intelligent garbage can management method and device, wherein the method comprises the following steps: collecting characteristic information of garbage to be thrown; determining the target garbage classification of the garbage according to the characteristic information; determining a target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification; and controlling the target intelligent garbage can to open the garbage throwing port. Therefore, the garbage classification and garbage throwing management method is beneficial to garbage classification and garbage throwing management.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an intelligent garbage can management method and device.
Background
With the acceleration of the urban process and the continuous improvement of the living standard of people, the production of the household garbage is continuously increased, so that the packaging materials, disposable materials and articles are increasingly increased, the types of garbage are also increasingly increased, the production of the garbage is greatly increased, and the pressure on garbage disposal is also increased. Especially, for areas with dense people flow, such as markets, communities, office buildings, working parks and the like, the amount of generated garbage is relatively large, and efficient treatment of garbage is needed. At present, garbage classification is firstly carried out nationally, and targeted garbage treatment is carried out on the basis of garbage classification so as to improve garbage treatment efficiency. Although some propaganda pages for garbage classification exist, most people still do not know how to correctly classify garbage, so that garbage classification errors are caused to influence subsequent garbage disposal.
At present, in the prior art, a scheme for guiding users to classify garbage is also provided, for example, patent number CN111232476a discloses an internet-based intelligent community garbage classification management system, and the disclosed scheme is as follows: the garbage classification system comprises a touch display screen, a client and a central processing unit, wherein community residents input garbage names through the touch display screen, the touch display screen transmits the garbage names to the central processing unit for classification inquiry, the classification inquiry results are transmitted to the touch display screen, and corresponding garbage classification results are displayed through the touch display screen.
From the above, the prior art can prompt garbage classification to help users to classify garbage, however, the prior art requires users to actively input garbage names, but there is a possibility that the garbage names input by the users are not consistent with the garbage names actually input, and the garbage classification is affected.
Disclosure of Invention
The application provides an intelligent garbage can management method and device, which are used for solving the problems in the background technology.
In a first aspect, the present application provides an intelligent garbage can management method, including:
collecting characteristic information of garbage to be thrown;
determining the target garbage classification to which the garbage belongs according to the characteristic information;
determining a target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification;
and controlling the target intelligent garbage can to open a garbage throwing port.
Optionally, the feature information is image information, and determining, according to the feature information, a target garbage classification to which the garbage belongs includes:
inputting the image information into a garbage classification model to obtain the target garbage classification output by the garbage classification model;
the garbage classification model is a pre-trained garbage classification model.
Optionally, the feature information is sound information, and determining, according to the feature information, a target garbage classification to which the garbage belongs includes:
generating a target time domain signal and a target frequency domain signal of the sound information according to the sound information;
and determining the target garbage classification to which the garbage belongs according to the target time domain signal and the target frequency domain signal.
Optionally, the determining, according to the target time domain signal and the target frequency domain signal, a target garbage classification to which the garbage belongs includes:
comparing the target time domain signal and the target frequency domain signal with a time domain signal range and a frequency domain signal range which correspond to a plurality of garbage classifications stored in advance;
determining a target time domain signal range and a target frequency domain signal range within which the target time domain signal and the target frequency domain signal fall;
and determining the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range as the target garbage classification.
Optionally, the comparing the target time domain signal and the target frequency domain signal with a time domain signal range and a frequency domain signal range corresponding to a plurality of garbage classifications stored in advance further includes:
if the target time domain signal and the target frequency domain signal do not fall into the time domain signal range and the frequency domain signal range corresponding to the garbage classifications, determining a target time domain signal range and a target frequency domain signal range with the smallest difference between the target time domain signal and the target frequency domain signal from the time domain signal range and the frequency domain signal range corresponding to the garbage classifications;
and determining the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range as the target garbage classification.
Optionally, after determining, according to the feature information, the target garbage classification to which the garbage belongs, the method further includes:
outputting prompt information of the target garbage classification;
after determining the target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification, the method further comprises the following steps:
receiving a garbage can opening instruction output by a user according to the prompt information, wherein the garbage can opening instruction comprises an identification of the target intelligent garbage can;
the controlling the target intelligent garbage can to open the garbage throwing port comprises the following steps:
and controlling the target intelligent garbage to open the garbage throwing port according to the garbage opening instruction.
Optionally, the method further comprises:
acquiring the weight and/or the height of the current garbage in the target intelligent garbage can;
determining whether the target intelligent garbage bin is full according to the weight and/or the height of the current garbage;
if yes, the cleaning prompt information of the target intelligent garbage can is output.
Optionally, the method further comprises:
acquiring environment parameters of the target intelligent garbage can, wherein the environment parameters comprise at least one of the following: temperature, odor, humidity;
and if the environment parameters in the barrel exceed the corresponding preset values, outputting cleaning prompt information of the target intelligent garbage can.
In a second aspect, the present application provides an intelligent garbage can management apparatus, comprising:
and the acquisition module is used for acquiring the characteristic information of the garbage to be thrown.
The determining module is used for determining the target garbage classification to which the garbage belongs according to the characteristic information, and determining the target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification.
And the control module is used for controlling the target intelligent garbage can to open the garbage throwing port.
In a third aspect, an embodiment of the present application provides an electronic device, including:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform a method embodying the first aspect described above.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program for implementing the method of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a computer program which, when executed by a processor, implements the method of the first aspect described above.
According to the intelligent garbage can management method and device, characteristic information of garbage to be thrown is collected; determining the target garbage classification to which the garbage belongs according to the characteristic information; determining a target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification; controlling the target intelligent garbage can to open a garbage throwing port; through the characteristic information of the garbage to be thrown away in real time, garbage classification is conducted on the garbage to be thrown away more accurately, and after target garbage classification is determined, the corresponding target intelligent garbage can is controlled to be opened more accurately, so that the user is prevented from throwing garbage into the wrong garbage can, and garbage classification and garbage throwing management are facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an implementation environment architecture diagram of an intelligent garbage can management method according to an embodiment of the present application;
FIG. 2 is a flowchart of a method for managing an intelligent garbage can according to an embodiment of the present disclosure;
FIG. 3 is a flowchart of a method for managing an intelligent garbage can according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an intelligent garbage can management device according to another embodiment of the present application;
fig. 5 is a schematic diagram of a computer system according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application are clearly and completely described below, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, are also within the scope of the present application based on the embodiments herein. In addition, the embodiments and features in the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is an implementation environment architecture diagram of an intelligent garbage can management method according to an embodiment of the present application. As shown in fig. 1, the implementation environment architecture includes: intelligent garbage station (be provided with a plurality of different garbage classification's intelligent garbage bin in the intelligent garbage station), collection system, terminal and server. The intelligent garbage bin of a plurality of different rubbish classifications is for example: the utility model discloses a recoverable intelligent garbage bin, harmful rubbish intelligent garbage bin, kitchen garbage intelligent garbage bin, other rubbish intelligent garbage bin, it is to be noted that, this application also does not limit to this classification.
The collecting device is arranged beside the intelligent garbage can, and the position between the collecting device and the intelligent garbage can be determined according to the surrounding environment.
The collecting device can comprise an image sensor and/or a sound sensor, and the image sensor is arranged at a position convenient for shooting garbage held by a user. A reference platform can be arranged beside the sound sensor, and the sound sensor can collect sounds generated by garbage placed on the reference platform, such as sounds generated by plastics, metals and glass striking the reference platform, which are different.
Further, the image sensor is used for shooting garbage placed in a shooting area by a user, and the image sensor transmits the shot photos to the server.
The sound sensor is arranged near the reference platform, so that sound generated by the garbage placed on the reference platform can be clearly collected by the sound sensor. Further, the sound sensor transmits the collected sound of the garbage to the server side.
The terminal can be equipment arranged beside the intelligent garbage can, so that a user can conveniently interact with the terminal, the terminal can also be integrated with the acquisition device into one piece of equipment, the hardware structure of the terminal can comprise a processor, a memory and a display device, and the software structure comprises a client of an application program installed on the terminal. When the application client is started, the terminal can display an application interface through which the garbage classification result sent by the server can be displayed.
Alternatively, the terminal may be a user's terminal, including but not limited to a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., which is not particularly limited in this embodiment of the present application. And the terminal of the user establishes communication connection with the server and the intelligent garbage can through installing related application software.
The server is used for receiving information sent by the acquisition device and processing data according to the information. The server is also used for receiving the instruction sent by the terminal and responding to the instruction to return corresponding data.
Further, the server may be a server, a server cluster formed by a plurality of servers, or a cloud computing service center.
The acquisition device and the server are in communication connection through a wired or wireless network, and the terminal and the server are in communication connection through the wired or wireless network.
The acquisition device in the implementation environment architecture can further comprise a pressure sensor and/or an infrared sensor. The pressure sensor is installed in the bottom of every intelligent garbage bin for detect the weight of rubbish in the intelligent garbage bin. The infrared sensor is installed near the input port of each garbage can, so that the infrared sensor is ensured not to be interfered, and the infrared sensor is used for detecting the height of garbage in the garbage can.
Further, the acquisition device in the real-time environment architecture includes an environment sensor. The environment sensor is installed inside the dustbin, is arranged at the bottom of the dustbin, the inner wall of the dustbin cover or the inner wall of the dustbin, and detects environment parameters in the dustbin in real time.
Further, the environmental sensor may be a temperature sensor, a humidity sensor or a gas sensor for detecting temperature, humidity, gas concentration, etc. in the trash can and transmitting the detected data to the server.
Fig. 2 is a flowchart illustrating a method of intelligent garbage can management according to an embodiment of the present application. The method shown in fig. 2 may be performed by the server in fig. 1, as shown in fig. 2, and includes the steps of:
step 201, collecting characteristic information of garbage to be thrown.
In one possible implementation, the collection device is installed beside the intelligent garbage can, and when a user needs to throw garbage, the garbage to be thrown is placed in the collection range of the collection device, so that the collection device can truly collect the characteristic information of the garbage to be thrown. The feature information collected by the collecting device can be, for example, image information or sound features, and the collecting device comprises an image sensor (such as a camera) and/or a sound sensor (such as a microphone). The acquisition device acquires the characteristic information and then sends the characteristic information to the server so that the server acquires the characteristic information of the garbage to be thrown.
In another possible implementation manner, the user can collect the image information of the garbage to be thrown by himself through the camera on the terminal, and upload the image information through the corresponding application software to send the image information to the server. Furthermore, the user can ensure the integrity and definition of the photo through the image information of the garbage uploaded by the terminal, ensure the complete record of the garbage in the photo and prevent the recognition error from causing the garbage classification error.
Step 202, determining the target garbage classification to which the garbage belongs according to the characteristic information.
For example, the garbage classification includes four types, respectively: recoverable rubbish, kitchen garbage, harmful rubbish and other rubbish, the intelligent garbage bin that corresponds also is established to four, and the name that four intelligent garbage bins correspond is: recoverable rubbish intelligence garbage bin, kitchen garbage intelligence garbage bin, harmful rubbish intelligence garbage bin and other rubbish intelligence garbage bin.
Wherein each waste item has its own characteristics to distinguish it from other kinds of items. Therefore, the garbage classification to which the garbage article to be thrown belongs can be determined by its own characteristic information, and the finally determined garbage classification is referred to herein as a target garbage classification.
Step 203, determining a target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification;
wherein, each garbage classification corresponds to an intelligent garbage bin, thereby ensuring that garbage can be correctly thrown according to classification results.
Illustratively, when the target garbage is classified as a hazardous garbage, the corresponding target intelligent garbage can is determined to be a hazardous garbage intelligent garbage can.
And 204, controlling the target intelligent garbage can to open a garbage throwing port.
Before target garbage classification and target intelligent garbage cans are not determined, the input ports of all intelligent garbage cans are in a closed state and can not be opened, so that users can not input garbage, and the situation that the users input garbage according to correct classification is avoided. After the target intelligent garbage can is determined, the target intelligent garbage can be controlled to open the garbage throwing port, and other intelligent garbage cans are in a closed state, so that users can correctly throw garbage of corresponding garbage classifications.
In one possible implementation manner, after determining the target garbage classification and corresponding to the corresponding target intelligent garbage can, the input port of the corresponding target intelligent garbage can is automatically opened, and after the user inputs garbage, the garbage input port of the target intelligent garbage can is automatically closed, for example, the garbage input port can be automatically closed after a certain period of time can be set to be opened. Wherein, the automatic opening target intelligent garbage can's input mouth can be the bung of automatic upset target intelligent garbage can to open input mouth.
In another possible implementation, after determining the target intelligent garbage bin corresponding to the target garbage classification, a lock (such as a lock locked by the bucket lid and the bucket body) of the corresponding intelligent garbage bin may also be opened to enable the intelligent garbage bin to process the operational state. After the lock of the intelligent garbage can is opened, the corresponding input port of the intelligent garbage can is opened manually, for example, a user turns over the can cover so as to input garbage. After the user puts in rubbish, upset bung is in order to cover the input mouth of intelligent garbage bin, and when the bung covered the input mouth, the lock was automatic to fall the lock to ensure that target intelligent garbage bin is in the state of closing this moment.
In yet another possible implementation, after step 202, a prompt for the target garbage classification may also be output to prompt the user for the correct garbage classification of the garbage to be thrown. Such as: the garbage classification method can be displayed through a display screen of a terminal arranged beside the intelligent garbage can, can also be used for carrying out voice prompt through the terminal, and can also be used for sending the prompt information to the terminal of the user so that the user can know the garbage classification result through the terminal of the user. Then, whether to open the garbage can is triggered by a user, for example, whether to open the target garbage can is displayed on a display screen of a terminal beside the intelligent garbage can, the user sends a garbage can opening instruction to the terminal through interaction with the display screen, the terminal forwards the garbage can opening instruction to a server, and then the server controls the target intelligent garbage can to open the garbage can opening according to the garbage can opening instruction. In the embodiment, the user is required to automatically trigger and open the garbage inlet, so that the influence of the surrounding environment, such as that the leaves fall on the reference platform, is avoided, and the phenomenon of misoperation occurs.
According to the intelligent garbage can management method, characteristic information of garbage to be thrown is collected; determining the target garbage classification to which the garbage belongs according to the characteristic information; determining a target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification; controlling the target intelligent garbage can to open a garbage throwing port; through the characteristic information of the garbage to be thrown away in real time, garbage classification is conducted on the garbage to be thrown away more accurately, and after target garbage classification is determined, the corresponding target intelligent garbage can is controlled to be opened more accurately, so that the user is prevented from throwing garbage into the wrong garbage can, and garbage classification and garbage throwing management are facilitated.
Optionally, the feature information is image information, and one possible implementation manner of the step 202 may include the following step 2021: and inputting the image information into a garbage classification model to obtain the target garbage classification output by the garbage classification model. The garbage classification model is a pre-trained garbage classification model.
The image information is shot through the image sensor, the user is required to place garbage to be thrown in a shooting area, the garbage is guaranteed to be in the shooting area, and after the camera detects that an object enters the shooting area, the image information is automatically shot or the user operates the image sensor to shoot through a terminal arranged near the intelligent garbage can. The image sensor is generally arranged right above the photographing area and photographs the top of the garbage to obtain more accurate image information of the garbage.
Alternatively, the garbage classification model may be obtained by: and collecting garbage image information of each garbage corresponding to each garbage classification in the plurality of garbage classifications. After collecting the image information of a plurality of sample garbage, the image information of a plurality of sample garbage can be preprocessed, such as operations of image denoising, size adjustment, gray processing and the like. And then extracting the characteristics of the image information, and extracting the image characteristic information in the picture through a convolutional neural network. Wherein the image feature information includes edge features, texture features, shape features, color features, level abstract features, and the like. And then training a model of a preset algorithm according to the extracted image characteristic information to obtain a garbage classification model. The preset algorithm comprises deep learning, convolutional neural network, support vector machine, decision tree and the like.
Taking a convolutional neural network as an example by taking a preset algorithm, before feature training is carried out on the convolutional neural network, labeling each obtained sample picture with a corresponding garbage classification label, and dividing garbage labeled with the corresponding garbage classification label into a training set, a verification set and a test set. Wherein it is necessary to ensure that the number of samples of the training set is greater than the number of samples of the validation set and the test set. The samples of the training set are input into the corresponding model in the convolutional neural network for training, and parameters of the model are continuously adjusted in the training process, so that the current model can be better fitted with the data characteristics of the garbage classification task.
The verification set is used for evaluating the model parameters, judging the correctness of the model detection, and adjusting the model parameters according to the evaluation result.
The test set is used for evaluating the finally trained model, calculating the accuracy of garbage classification detection by the model, and the like.
Optionally, the feature information is sound information, and another possible implementation manner of the step 202 may include the following steps 2021 and 2022:
step 2021, generating a target time domain signal and a target frequency domain signal of the sound information according to the sound information;
the sound information is collected through a sound sensor in the collecting device, when a user places target garbage on the reference platform, the garbage collides with the reference platform to generate sound, and the microphone collects the sound information generated by the collision of the garbage and the reference platform.
The voice information can be preprocessed after being collected, and the preprocessing comprises the processes of framing, trend item, filtering and the like. After the preprocessing is completed, time domain and frequency domain processing can be performed on the sound information, so as to obtain a target time domain signal and a target frequency domain signal of the sound information.
The target time domain signal is a target time domain signal for analyzing the change of the sound information on the time axis to generate the sound information, and the target frequency domain signal can be formed by converting the target time domain signal through short-time Fourier transform.
Step 2022, determining, according to the target time domain signal and the target frequency domain signal, a target garbage classification to which the garbage belongs.
Since the time domain signal and the frequency domain signal of the sound generated by different garbage are different, the time domain signal and the frequency domain signal of the sound generated by plastic, the time domain signal and the frequency domain signal of the sound generated by metal, and the time domain signal and the frequency domain signal of the sound generated by glass are different, the target garbage classification to which the garbage to be thrown out belongs is determined according to the target time domain signal and the target frequency domain signal of the sound generated by garbage to be thrown out.
The garbage classification method and the garbage classification device can distinguish garbage classification according to different sounds generated by garbage objects, and the garbage classification can be plastic, metal, glass and the like.
Optionally, step 2022 is implemented by steps 2022 a-2022 c as follows:
step 2022a, comparing the target time domain signal and the target frequency domain signal with a time domain signal range and a frequency domain signal range corresponding to a plurality of pre-stored garbage classifications;
wherein, the pre-stored time domain signal and frequency domain signal can be understood as: and collecting the sound information of each sample of each garbage classification, obtaining corresponding time domain signals and frequency domain signals, and collecting the sound information of each garbage classification as much as possible. And then obtaining the time domain signal range of the garbage classification according to the time domain signal of each sample sound information of each garbage classification, and obtaining the frequency domain signal range of the garbage classification according to the frequency domain signal of each sample sound information of each garbage classification.
After the target time domain signal and the target frequency domain signal of the sound to be thrown into garbage are obtained, the target time domain signal and the target frequency domain signal are compared with the time domain signal range and the frequency domain signal range corresponding to various garbage classifications.
Step 2022b, determining a target time domain signal range and a target frequency domain signal range within which the target time domain signal and the target frequency domain signal fall;
and step 2022c, determining that the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range is the target garbage classification.
When the target time domain signal and the target frequency domain signal fall into the time domain signal range and the frequency domain signal range of one of the garbage classifications, determining that the time domain signal range and the frequency domain signal range of the garbage classification are the target time domain signal range and the target frequency domain signal range, and further determining that the garbage classification is the target garbage classification.
Optionally, step 2022d and step 2022e may also be included after step 2022 a:
in step 2022d, if the target time domain signal and the target frequency domain signal do not fall into the time domain signal range and the frequency domain signal range corresponding to the multiple garbage classifications, determining a target time domain signal range and a target frequency domain signal range with the smallest difference between the target time domain signal and the target frequency domain signal from the time domain signal range and the frequency domain signal range corresponding to the multiple garbage classifications.
When the target time domain signal and the target frequency domain signal do not fall into the time domain signal range and the frequency domain signal range of the known garbage classification, determining a range with the smallest difference with the target time domain signal and the target frequency domain signal from the time domain signal range and the frequency domain signal range of each known garbage classification, and taking the range as the classification basis of garbage to be thrown, wherein the range is called as the target time domain signal range and the target frequency domain signal range.
And step 2022e, determining that the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range is the target garbage classification.
Optionally, as shown in fig. 3, step 205-step 207 may be further included after step 204:
step 205, obtaining the weight and/or the height of the current garbage in the target intelligent garbage can.
After a user inputs garbage into the target intelligent garbage can, the weight of garbage stored in the intelligent garbage can changes, the pressure sensor is arranged below the intelligent garbage can, and the weight of current garbage in the target intelligent garbage can be obtained through the pressure sensor. Further, when the intelligent garbage can is empty, the self weight of the intelligent garbage can is stored in advance, and when the user inputs garbage once, the pressure sensor automatically obtains the total weight of the intelligent garbage can once, and as the amount of garbage input by the user is increased, the total weight of the intelligent garbage can is increased continuously.
Wherein, after the user drops into rubbish in the target intelligent garbage bin, the height of rubbish of intelligent garbage bin storage changes, and infrared sensor sets up the tip in intelligent garbage bin top, can acquire the height of current rubbish in the target intelligent garbage bin through infrared sensor.
Step 206, determining whether the target intelligent garbage can is full according to the weight and/or the height of the current garbage.
The method comprises the steps of setting a weight threshold for a target intelligent garbage can, and confirming that the target intelligent garbage can is full when the weight detected by the pressure sensor exceeds the weight threshold.
Wherein, infrared sensor passes through infrared reflection and detects, and infrared sensor installs the tip in the intelligent garbage bin top of target, shelters from by rubbish through detecting infrared sensor to judge whether current rubbish exceeds the height of target intelligent garbage bin, for example, when infrared sensor is sheltered from, consider the rubbish to surpass the height of target intelligent garbage bin, be that the intelligent garbage bin of target fills up promptly.
And step 207, outputting cleaning prompt information of the target intelligent garbage can if the target intelligent garbage can is full.
The output cleaning prompt information is displayed on the display screen and can be reminded in different colors, fonts and the like, so that a manager can conveniently see the cleaning prompt information, and the current full state of the dustbin can be reminded through voice.
The cleaning prompt information can be directly output to the terminal of the manager, and the manager is timely prompted that the garbage can is full and needs to be cleaned in time.
Optionally, the method further comprises the following steps 208 and 209:
step 208, acquiring environment parameters in the target intelligent garbage can, wherein the environment parameters comprise at least one of the following: temperature, odor, humidity.
Wherein, temperature detects through temperature sensor, detects the temperature in the target intelligent garbage bin, and the condition that fires probably appears when the high temperature to produce the potential safety hazard, also probably appear that the high temperature leads to other sensors in the intelligent garbage bin to break down.
The gas detection is carried out through a gas detection sensor, such as an ammonia sensor and the like, and is used for detecting the gas in the intelligent dustbin, so that abnormal smell is prevented from occurring in hot weather, and the living environment of a user is influenced.
Wherein, humidity detects through humidity transducer, through the humidity parameter in the intelligent garbage bin of detection target, judges whether the humidity in the intelligent garbage bin of target is too high, and the too high bacterial that can lead to in the garbage bin of humidity breeds.
And step 209, outputting cleaning prompt information of the target intelligent garbage can if the environment parameter in the can exceeds a corresponding preset value.
The preset values of the environment parameters in the barrel are set to different values according to the actual application state.
Further, the temperature, the gas and the humidity respectively correspond to different preset values.
The output cleaning prompt information is displayed on the desktop of the display screen, and can be reminded in different colors, fonts and the like, so that a manager can conveniently see the information, and the current state that the environmental parameters of the dustbin are not up to standard can be reminded through sound.
The cleaning prompt information can be directly output to the terminal of the manager, and the manager is timely prompted to clean the garbage can.
The server can manage a plurality of intelligent garbage stations, and the server can acquire information (weight information, altitude information, environmental parameter information and the like) of each intelligent garbage can in each intelligent garbage station.
By taking a working park as an example, the server can store map information of the working park and position information of each intelligent garbage station on the map information, and through the embodiments of the application, the server can acquire information of each intelligent garbage can of each intelligent garbage station, and the information can be displayed on the map of the working park in real time, so that a manager can check the information in real time, and intelligent management is facilitated.
Fig. 4 is a block diagram of an intelligent garbage can management apparatus according to an embodiment of the present application. As shown in fig. 4, the apparatus includes:
the collection module 401 is configured to collect characteristic information of garbage to be thrown.
The determining module 402 is configured to determine, according to the feature information, a target garbage classification to which the garbage belongs, and determine, according to the target garbage classification, a target intelligent garbage bin corresponding to the target garbage classification.
And the control module 403 is used for controlling the target intelligent garbage can to open the garbage throwing port.
Optionally, the feature information is image information, and the determining module 402 is specifically configured to:
and inputting the image information into a garbage classification model to obtain the target garbage classification output by the garbage classification model.
Optionally, the feature information is sound information, and the determining module 402 is specifically configured to:
and generating a target time domain signal and a target frequency domain signal of the sound information according to the sound information.
And determining the target garbage classification to which the garbage belongs according to the target time domain signal and the target frequency domain signal.
Optionally, the determining module 402 is specifically configured to:
and comparing the target time domain signal and the target frequency domain signal with a time domain signal range and a frequency domain signal range which correspond to the pre-stored garbage classifications.
And determining a target time domain signal range and a target frequency domain signal range within which the target time domain signal and the target frequency domain signal fall.
And determining the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range as the target garbage classification.
Optionally, the determining module 402 is further configured to:
and if the target time domain signal and the target frequency domain signal do not fall into the time domain signal range and the frequency domain signal range corresponding to the garbage classifications, determining a target time domain signal range and a target frequency domain signal range with the smallest difference between the target time domain signal and the target frequency domain signal from the time domain signal range and the frequency domain signal range corresponding to the garbage classifications.
And determining the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range as the target garbage classification.
Optionally, the intelligent garbage can management device further includes: an output module 404. Optionally, the intelligent garbage can management device further includes: a receiving module 405.
And the output module 404 is used for outputting the prompt information of the target garbage classification.
And the receiving module 405 is configured to receive a garbage can opening instruction output by a user according to the prompt information, where the garbage can opening instruction includes an identifier of the target intelligent garbage can.
The control module 403 is specifically configured to control the target intelligent garbage to open the garbage inlet according to the garbage opening instruction.
Optionally, the acquisition module 401 is further configured to:
and acquiring the weight and/or the height of the current garbage in the target intelligent garbage can.
The determining module 402 is further configured to determine whether the target intelligent garbage bin is full according to the weight and/or the height of the current garbage.
And the output module 404 is configured to output a cleaning prompt message of the target intelligent dustbin if the target intelligent dustbin is full.
Optionally, the acquisition module 401 is further configured to:
acquiring environment parameters of the target intelligent garbage can, wherein the environment parameters comprise at least one of the following: temperature, odor, humidity.
And the output module 404 is configured to output a cleaning prompt message of the target intelligent dustbin if the environmental parameter in the barrel exceeds a corresponding preset value.
In addition, the relevant content in the device embodiment is referred to the method embodiment, and will not be described herein.
Fig. 5 is a schematic diagram showing the structure of an electronic device or a computer system 500 according to an embodiment of the present application, which includes a Central Processing Unit (CPU) 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section into a Random Access Memory (RAM) 503. In the RAM503, various programs and data required for the system operation are also stored. The CPU501, ROM502, and RAM503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drives are also connected to the I/O interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.
In particular, the processes described by the flowcharts of the embodiments of the present application may be implemented as computer software programs. For example, method embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow diagrams.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by one of the electronic devices, cause the electronic device to implement the methods described in embodiments of the present application.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two.
The units involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases. The described units or modules may also be provided in a processor. Wherein the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.
Finally, it should be noted that what is not described in the technical solutions of the present application may be implemented using the prior art. In addition, the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand; the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. An intelligent garbage can management method is characterized by comprising the following steps:
collecting characteristic information of garbage to be thrown;
determining the target garbage classification to which the garbage belongs according to the characteristic information;
determining a target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification;
and controlling the target intelligent garbage can to open a garbage throwing port.
2. The method according to claim 1, wherein the feature information is image information, and the determining, according to the feature information, a target garbage classification to which the garbage belongs includes:
inputting the image information into a garbage classification model to obtain the target garbage classification output by the garbage classification model;
the garbage classification model is a pre-trained garbage classification model.
3. The method according to claim 1, wherein the feature information is sound information, and the determining, according to the feature information, a target garbage classification to which the garbage belongs includes:
generating a target time domain signal and a target frequency domain signal of the sound information according to the sound information;
and determining the target garbage classification to which the garbage belongs according to the target time domain signal and the target frequency domain signal.
4. A method according to claim 3, wherein said determining a target garbage classification to which said garbage belongs from said target time domain signal and target frequency domain signal comprises:
comparing the target time domain signal and the target frequency domain signal with a time domain signal range and a frequency domain signal range which correspond to a plurality of garbage classifications stored in advance;
determining a target time domain signal range and a target frequency domain signal range within which the target time domain signal and the target frequency domain signal fall;
and determining the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range as the target garbage classification.
5. The method of claim 4, wherein comparing the target time domain signal and the target frequency domain signal with pre-stored time domain signal ranges and frequency domain signal ranges corresponding to a plurality of garbage classifications, further comprises:
if the target time domain signal and the target frequency domain signal do not fall into the time domain signal range and the frequency domain signal range corresponding to the garbage classifications, determining a target time domain signal range and a target frequency domain signal range with the smallest difference between the target time domain signal and the target frequency domain signal from the time domain signal range and the frequency domain signal range corresponding to the garbage classifications;
and determining the garbage classification corresponding to the target time domain signal range and the target frequency domain signal range as the target garbage classification.
6. The method according to any one of claims 1-5, wherein after determining the target garbage classification to which the garbage belongs according to the feature information, further comprises:
outputting prompt information of the target garbage classification;
after determining the target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification, the method further comprises the following steps:
receiving a garbage can opening instruction output by a user according to the prompt information, wherein the garbage can opening instruction comprises an identification of the target intelligent garbage can;
the controlling the target intelligent garbage can to open the garbage throwing port comprises the following steps:
and controlling the target intelligent garbage to open the garbage throwing port according to the garbage opening instruction.
7. The method of any one of claims 1-5, further comprising:
acquiring the weight and/or the height of the current garbage in the target intelligent garbage can;
determining whether the target intelligent garbage bin is full according to the weight and/or the height of the current garbage;
if yes, the cleaning prompt information of the target intelligent garbage can is output.
8. The method of any one of claims 1-5, further comprising:
acquiring environment parameters of the target intelligent garbage can, wherein the environment parameters comprise at least one of the following: temperature, odor, humidity;
and if the environment parameters in the barrel exceed the corresponding preset values, outputting cleaning prompt information of the target intelligent garbage can.
9. An intelligent garbage can management device, which is characterized by comprising:
the acquisition module is used for acquiring the characteristic information of the garbage to be thrown;
the determining module is used for determining the target garbage classification to which the garbage belongs according to the characteristic information, and determining a target intelligent garbage bin corresponding to the target garbage classification according to the target garbage classification;
and the control module is used for controlling the target intelligent garbage can to open the garbage throwing port.
10. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311679186.3A CN117465862A (en) | 2023-12-08 | 2023-12-08 | Intelligent garbage can management method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311679186.3A CN117465862A (en) | 2023-12-08 | 2023-12-08 | Intelligent garbage can management method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117465862A true CN117465862A (en) | 2024-01-30 |
Family
ID=89634894
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311679186.3A Pending CN117465862A (en) | 2023-12-08 | 2023-12-08 | Intelligent garbage can management method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117465862A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117923025A (en) * | 2024-03-25 | 2024-04-26 | 江西众加利高科技股份有限公司 | Intelligent control method and related device for intelligent garbage classification collecting box |
| CN118350549A (en) * | 2024-05-06 | 2024-07-16 | 苏州市南环桥数创信息科技有限公司 | Intelligent online monitoring system and method for sanitation of agricultural batch market products based on cloud platform |
-
2023
- 2023-12-08 CN CN202311679186.3A patent/CN117465862A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117923025A (en) * | 2024-03-25 | 2024-04-26 | 江西众加利高科技股份有限公司 | Intelligent control method and related device for intelligent garbage classification collecting box |
| CN118350549A (en) * | 2024-05-06 | 2024-07-16 | 苏州市南环桥数创信息科技有限公司 | Intelligent online monitoring system and method for sanitation of agricultural batch market products based on cloud platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117465862A (en) | Intelligent garbage can management method and device | |
| CN109684979A (en) | A kind of refuse classification method based on image recognition technology, device and electronic equipment | |
| CN110745407A (en) | Public garbage classification and recovery system | |
| CN110087193A (en) | Information uploading method, device, electronic equipment and the readable storage medium storing program for executing of dustbin | |
| WO2019056102A1 (en) | Systems and methods for waste item detection and recognition | |
| US11335086B2 (en) | Methods and electronic devices for automated waste management | |
| CN112298844B (en) | Garbage classification supervision method and device | |
| CN113111769A (en) | Garbage illegal putting behavior monitoring method and device and computer equipment | |
| CN111846693A (en) | Intelligent garbage classification putting supervision and control system based on real-name system | |
| CN116342895B (en) | Method and system for improving sorting efficiency of renewable resources based on AI (advanced technology attachment) processing | |
| WO2021012761A1 (en) | Garbage classification method, apparatus and device, and storage medium | |
| CN110516768A (en) | A kind of method, apparatus and artificial intelligence robot of garbage classification management | |
| CN110598604A (en) | Intelligent supervision method and device for classified garbage putting and computer storage medium | |
| CN112499017A (en) | Garbage classification method and device and garbage can | |
| CN108910340A (en) | A kind of control method and system of intelligent garbage bin | |
| CN112607253A (en) | Kitchen garbage classification recycling credit evaluation system based on big data | |
| CN107195077A (en) | Bottle intelligence recycling machine | |
| CN115564376A (en) | Garbage throwing management system and garbage storage system | |
| CN111832749B (en) | Garbage bag identification method and related device | |
| CN112734699A (en) | Article state warning method and device, storage medium and electronic device | |
| CN114476418B (en) | Intelligent garbage treatment method, equipment and medium | |
| CN117088015A (en) | Intelligent garbage disposal method, system and storage medium | |
| CN116959117A (en) | Monitoring system for garbage throwing behavior analysis and illegal behavior multi-angle snapshot | |
| CN110775483A (en) | Community intelligent garbage recycling device and method, electronic equipment and storage medium | |
| CN115724083A (en) | Garbage classification method, intelligent garbage can, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |