CN109460028A - The control device and its method and intelligent garbage bin of a kind of intelligent garbage bin - Google Patents
The control device and its method and intelligent garbage bin of a kind of intelligent garbage bin Download PDFInfo
- Publication number
- CN109460028A CN109460028A CN201811422605.4A CN201811422605A CN109460028A CN 109460028 A CN109460028 A CN 109460028A CN 201811422605 A CN201811422605 A CN 201811422605A CN 109460028 A CN109460028 A CN 109460028A
- Authority
- CN
- China
- Prior art keywords
- garbage bin
- rubbish
- intelligent garbage
- dustbin
- module
- 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 143
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000007246 mechanism Effects 0.000 claims description 15
- 238000013528 artificial neural network Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 238000005457 optimization Methods 0.000 claims description 9
- 238000013135 deep learning Methods 0.000 claims description 8
- 230000002452 interceptive effect Effects 0.000 claims description 8
- 238000004064 recycling Methods 0.000 claims description 8
- 238000003825 pressing Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000013527 convolutional neural network Methods 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 3
- 230000001877 deodorizing effect Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 abstract description 7
- 238000000746 purification Methods 0.000 abstract description 5
- 230000005574 cross-species transmission Effects 0.000 abstract description 4
- 238000007418 data mining Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000010801 machine learning Methods 0.000 abstract description 3
- 238000011084 recovery Methods 0.000 abstract description 2
- 230000009467 reduction Effects 0.000 abstract description 2
- 230000004888 barrier function Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 241000255925 Diptera Species 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0242—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using non-visible light signals, e.g. IR or UV signals
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0221—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0223—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving speed control of the vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0225—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving docking at a fixed facility, e.g. base station or loading bay
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Aviation & Aerospace Engineering (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Electromagnetism (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Acoustics & Sound (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention belongs to dustbin technical fields, and in particular to the control device and its method and intelligent garbage bin of a kind of intelligent garbage bin.The control method of the intelligent garbage bin, by obtaining speech-controlled information；The working method and active path planning of dustbin are controlled according to the voice messaging；Destination, which is moved to, according to the path of the planning receives rubbish；Obtain the image information for receiving rubbish, classify to rubbish, it realizes and realizes that intelligent garbage bin more occasions under active path planning work using technologies such as machine learning and data minings, movably more it is the reduction of the usage amount of dustbin, it is easy to implement rubbish dispensing, it is even more that the generation of rubbish spill-over phenomenon is avoided while improving resource classification recovery utilization rate that spill-over alarm information pushing and peculiar smell, which remove purification miscellaneous function, simultaneously, the design of intelligent humanized greatly facilitates people's lives demand, pursuit of improving the quality of living.
Description
Technical field
The invention belongs to dustbin technical fields, and in particular to the control device and its method and intelligence of a kind of intelligent garbage bin
It can dustbin.
Background technique
Dustbin is essential necessity during we live, and traditional dustbin garbage utilization rate and the rate of recovery are low, make
At refuse pollution and the wasting of resources, while traditional dustbin function is more single, and its single Structured Design leads to peculiar smell
With mosquito throughout and the close Structured Design of intelligent garbage bin can solve traditional dustbin peculiar smell and mosquito throughout the hair of phenomenon
It is raw.But now, most of intelligent garbage bins are only voluntarily beaten on the basis of changing Structured Design using infrared induction
Open and close are closed, and function is still single, while intelligent garbageization classification also becomes the problem of urgently researching and solving.Utilize machine learning
It is combined with technologies such as data minings and realizes that dustbin intelligence becomes the important means for solving people's house refuse.
Summary of the invention
The problems such as single in order to solve above-mentioned garbage can structure, function lacks, and can not achieve intelligent garbageization classification, this hair
A kind of bright control device that intelligent garbage bin is provided and its method and intelligent garbage bin.
To achieve the above object, the technical scheme adopted by the invention is that: a kind of control method of intelligent garbage bin,
Obtain speech-controlled information；
The working method and active path planning of dustbin are controlled according to the voice messaging；
Destination, which is moved to, according to the path of the planning receives rubbish；
The image information for receiving rubbish is obtained, is classified to rubbish.
Further, when voice messaging is the voice messaging correctly entered, to the voice messaging carry out identifying processing and/
Or interaction process.
Further, the speech-controlled information is obtained to carry out processing output recognition result using deep learning and execute phase
Associated movement.
Further, the active path planning is carried out using intelligent optimization algorithm and fuzzy neural network.
Further, classified using image recognition to the received junk information.
Further, initialization is carried out using great amount of samples of the convolutional neural networks to picture database be converted to can be by it
The data set of processing, the image information acquired according to rubbish in dustbin, which is realized after building model by naturalization processing, divides
Class.
Further, the capacity and peculiar smell for detecting rubbish in dustbin, issue warning reminding according to testing result.
Further, when dustbin reaches the capability value of setting, warning reminding is issued.
A kind of control device of intelligent garbage bin, including voice module, categorization module, detection module, alarm module, it is described
Voice module, for obtaining speech-controlled information；
Control module, for controlling the working method and active path planning of dustbin according to the voice messaging；
Action module receives rubbish for being moved to destination according to the path of the planning；
Categorization module classifies to rubbish for obtaining the image information for receiving rubbish.
Further, voice module further includes judging unit, for judge the voice messaging whether be erroneous input language
Message breath.
Further, voice module further includes recognition unit and/or interactive unit, for knowing to the voice messaging
Other places reason and/or interaction process.
It further, further include capacity check module, for detecting the capacity of rubbish in the dustbin.
It further, further include peculiar smell detection module, for detecting the peculiar smell of rubbish in the dustbin.
It further, further include alarm module, for issuing warning reminding according to the testing result.
A kind of intelligent garbage bin, including dustbin ontology further include driving mechanism, sorting mechanism and above-mentioned intelligent garbage
The control device of bucket, the control device control driving mechanism control the dustbin according to the voice messaging and are moved to purpose
Ground, the control device control the sorting mechanism and carry out classification recycling to the received junk information.
Further, dustbin ontology includes recyclable rubbish bucket and dustbin not can be recycled.
Further, sorting mechanism includes the connecting rod being set between recycling dustbin and not recyclable dustbin, setting
In the rotary type pressing plate on connecting rod, the rubbish after identification is directed respectively into corresponding described can return when the rotary type pressing plate rotates
Receive dustbin or the not recyclable dustbin.
It further, further include deodorizing device, for removing peculiar smell in the dustbin.
The present invention provides a kind of control method of intelligent garbage bin, obtains speech-controlled information；According to the voice messaging
Control the working method and active path planning of dustbin；Destination, which is moved to, according to the path of the planning receives rubbish；It obtains
The image information for receiving rubbish is taken, is classified to rubbish, realizes and is realized using technologies such as machine learning and data minings
Intelligent garbage bin more occasion work under active path planning, are movably more the reduction of the usage amount of dustbin, are convenient for
Realize that rubbish is launched, while it is even more to improve resource classification recycling that spill-over alarm information pushing and peculiar smell, which remove purification miscellaneous function,
The generation of rubbish spill-over phenomenon is avoided while utilization rate, the design of intelligent humanized greatly facilitates people's lives and needs
It asks, pursuit of improving the quality of living.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of intelligent garbage bin；
Fig. 2 is the structural schematic diagram of the control device of intelligent garbage bin；
Fig. 3 is the control method flow chart of intelligent garbage bin.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, is clearly and completely retouched to the technical solution in the present invention
It states, it is clear that the described embodiments are merely a part of the embodiments of the present invention, instead of all the embodiments.
As shown in Figure 1, a kind of intelligent garbage bin, including dustbin ontology 1, it further include driving mechanism pulley 7, sorting mechanism
With the control device 2 of intelligent garbage bin, the control device control driving mechanism pulley 7 controls dustbin according to voice messaging and moves
It moves to destination, control device control tactics mechanism carries out classification recycling to received junk information.
Dustbin ontology includes recyclable rubbish bucket 4 and dustbin 5 not can be recycled, and sorting mechanism includes being set to recycling rubbish
Rubbish bucket and the connecting rod 6 that not can be recycled between dustbin, the rotary type pressing plate 3 being set on connecting rod, the rotary type pressing plate 3 rotate
When the rubbish after identification is directed respectively into corresponding recyclable rubbish bucket 4 or dustbin 5 not can be recycled, deodorizing device is used for
Peculiar smell in dustbin is removed, the recycling and reusing of resource is realized, avoids the waste of resource.
As shown in Fig. 2, a kind of control device of intelligent garbage bin, including voice module 101, control module 102, movement mould
Block 103, categorization module 104, capacity check module 105, peculiar smell detection module 106, alarm module 107, it is described
Voice module 101, for obtaining speech-controlled information；
Voice module further includes judging unit, recognition unit and/or interactive unit, and the judging unit is for judging voice
Information whether be erroneous input voice messaging；Namely intelligent garbage bin acquires human body voice messaging and feeds back to voice input
Person is discriminated whether it is voice erroneous input by people again, if being misleading information, then dustbin does not execute the maloperation that voice is assigned
Instruction；
When being correct voice input, then enter the voice recognition unit or interactive unit, the voice recognition unit
For carrying out processing output using deep learning voice to voice messaging progress identifying processing, that is, acquisition speech-controlled information
Recognition result simultaneously executes associated movement, i.e., intelligent garbage bin receive the signal person of bestowing voice signal using deep learning into
Row processing output recognition result simultaneously executes associated movement；
The interactive unit is for interacting processing to voice messaging；I.e. interactive voice is mentioned according to text output result
It takes keyword to execute associated movement or selects workplace to execute language according to voice module combination active path planning principle
The instruction of sound operation；
Control module 102, for controlling the working method and active path planning of dustbin according to voice messaging；Namely
The voice signal that intelligent garbage bin receives the signal person of bestowing carries out processing output recognition result using deep learning and executes correlation
The movement of connection realizes the work under more places such as kitchen, parlor and bedroom according to active path planning principle, simultaneously for family
Middle laying for goods location information changes the dynamic update that memory module can be achieved, and makes its more flexible mobile execution operational order；
Action module 103 is moved to destination for the path according to planning and receives rubbish；Namely dustbin utilizes intelligence
Energy optimization algorithm and fuzzy neural network carry out active path planning, i.e., by using intelligent optimization algorithm and fuzzy neural network
It combines to select and selects optimal path, dustbin is accurately arrived at the destination, execute the phonetic order of user；
Categorization module 104 classifies to rubbish for obtaining the image information for receiving rubbish；Namely pass through utilization
Convolutional neural networks carry out initialization to the great amount of samples of picture database and are converted to the data set that can be handled by it, according to rubbish
The image information of rubbish acquisition, which is handled after building model by naturalization, in bucket realizes classification；
Capacity check module 105, for detecting the capacity of rubbish in dustbin；When dustbin reaches the capability value of setting
When, warning reminding is issued, by setting preset parameter value, when quantity of refuse reaches 60 the percent of volume in bucket, then to rubbish
Compression storage operation is executed, expands the amount of storage of rubbish, while executing alarm when quantity of refuse reaches 80 percent in bucket and mentioning
Awake function, convenient user know that rubbish must be cleared up in time；
Peculiar smell detection module 106, for detecting the peculiar smell of rubbish in dustbin；Namely for the different times to intelligent rubbish
Different time limits is arranged in rubbish bucket, if not opening peculiar smell to garbage disposal and removing purification pattern, prevent user from locating not in time
The occurrence of reason rubbish or be not in cannot be handled to prevent peculiar smell rubbish；
Alarm module 107 for issuing warning reminding according to testing result, that is, passes through detection rubbish ladle capacity or different
Taste issues warning reminding when dustbin reaches the capability value of setting；Peculiar smell is opened when rubbish is handled not in time removes purification
Mode；
As shown in figure 3, a kind of control method of intelligent garbage bin,
S1: speech-controlled information is obtained；
When voice messaging is the voice messaging correctly entered, identifying processing and/or interaction process are carried out to voice messaging；
I.e. intelligent garbage bin acquisition first and feeds back to voice importer at human body voice messaging, discriminated whether again by people be
Voice erroneous input, if being misleading information, then dustbin does not execute the maloperation instruction that voice is assigned；As if it is not, if to adopting
Sound wave after sample carries out pretreatment and extracts speech feature vector, by tractable audio through deep learning algorithm combination first search
Strategy finds optimal path, and then the voice signal can be exported with maximum probability as a result, intelligent garbage bin passes through interactive voice
That realizes phonetic order executes movement；
Speech recognition is by Signal Pretreatment, feature extraction, acoustic model, language model and first search strategy's decoder
It constitutes, i.e., acquisition speech-controlled information carries out processing output recognition result using deep learning voice and executes associated dynamic
Make, i.e., the voice signal that intelligent garbage bin receives the signal person of bestowing carries out processing output recognition result using deep learning and executes
Associated movement realizes the work under more places such as kitchen, parlor and bedroom according to active path planning principle, while right
Laying for goods location information changes the dynamic update that memory module can be achieved at home, and the mobile execution operation for keeping its more flexible refers to
It enables；
And interactive voice is to extract keyword according to text output result to execute associated movement or according to voice module
The instruction of voice operating is executed in conjunction with active path planning principle selection workplace；
The packaged type intelligent garbage bin design of voice manipulation is realized under more places under the execution operator of intelligent humanized
Up to instruction, completes opening and closing operations and arrive at operating point task；
Intelligent garbage bin voice module can also carry out people's bucket Chat mode simultaneously, can be intelligentized certainly according to chat keyword
Dynamic selection chat scenario mode, indirect adjusts the mood of people, while people being helped to alleviate the boring time in leisure；
S2: the working method and active path planning of dustbin are controlled according to the voice messaging；
Active path planning is carried out using intelligent optimization algorithm and fuzzy neural network, i.e. path planning uses intelligent optimization
Algorithm and fuzzy neural network, which combine to select, selects optimal path.Originally to parameter initialization, determine that path originates barrier number
With the location information of barrier and the initial velocity and location information of change intelligent garbage bin, intelligent optimization algorithm is selected to realize rubbish
Rubbish bucket speed and the dynamic of position update, and make a variation to form mulitpath using fuzzy neural network algorithm and location point, select excellent
Change algorithm realizing route to update and finally determine that optimal path executes verbal instructions operation, appoints the completion of its intelligent humanized
Business.
The location drawing picture of laying for goods in smart home is namely imported into intelligent garbage bin first and carries out Initialize installation,
When phonetic order issues, intelligent garbage bin carries out voice module and executes operational order, according to memory module and ambient enviroment
Factor carries out real time data information collection, completes obstacle identity and distinguishes；
Infrared, ultrasonic wave and visual sensor in intelligent garbage bin complete Obstacle Position positioning, make optimal road
Diameter planning reaches designated position progress rubbish and puts in order.Since the randomness that barrier occurs is big, then need complete according to real time status
At the update of data base, to make optimum path planning；
S3: destination is moved to according to the path of the planning and receives rubbish；
Namely dustbin carries out active path planning using intelligent optimization algorithm and fuzzy neural network, i.e., by using
Intelligent optimization algorithm and fuzzy neural network, which combine to select, selects optimal path, and dustbin is accurately arrived at the destination, is held
The phonetic order of row user receives rubbish；
S4: the image information for receiving rubbish is obtained, is classified to rubbish；
Classified using image recognition to received junk information；I.e. by utilizing convolutional neural networks to image data
The great amount of samples in library carries out initialization and is converted to the data set that can be handled by it, the image information acquired according to rubbish in dustbin
It is handled after building model by naturalization and realizes classification；
Namely for intelligent garbage bin after completing voice control opening and closing, rubbish enters image recognition from specification area, then leads to
Crossing control mechanical structure movement makes rubbish enter realization recycling and expendable classification in different region buckets；Utilize convolution
Neural network carries out initialization to the great amount of samples of picture database and is converted to the data set that can be handled by it, the instruction of implementation model
Practice and the seed superiority for building model is verified in test, is passed through after building model according to the image information that rubbish in dustbin acquires
Softmax realizes final classification, is finally driven above garbage rotary to corresponding bucket according to dustbin internal structure design, real
Existing rubbish is classified certainly；
Dustbin junk information based on the received, the capacity and peculiar smell of rubbish, are tied according to detection in real-time detection dustbin
Fruit issues warning reminding；When dustbin reaches the capability value of setting, warning reminding is issued；Preset parameter value is set, bucket is worked as
Interior quantity of refuse reaches 60 the percent of volume, then executes compression storage operation to rubbish, expand the amount of storage of rubbish, work as simultaneously
Warning reminding function is executed when quantity of refuse reaches 80 percent in bucket, convenient user knows that rubbish must be cleared up in time.For not
Intelligent garbage bin is arranged different time limits with the time, if not opening peculiar smell to garbage disposal and removing purification pattern, prevent
Only user handles rubbish or the occurrence of cannot being handled rubbish to prevent peculiar smell of not being in not in time.Intelligent rubbish
Rubbish bucket can be achieved to be connected with ustomer premises access equipment, and user can grasp the real-time working scene of intelligent garbage bin.
It above are only preferred embodiment of the invention, but the design concept of the present invention is not limited to this, all benefits
It is made a non-material change to the present invention, should all be belonged to behavior that violates the scope of protection of the present invention with this design.
Claims (18)
1. a kind of control method of intelligent garbage bin, it is characterised in that:
Obtain speech-controlled information；
The working method and active path planning of dustbin are controlled according to the voice messaging；
Destination, which is moved to, according to the path of the planning receives rubbish；
The image information for receiving rubbish is obtained, is classified to the rubbish.
2. the control method of intelligent garbage bin according to claim 1, it is characterised in that: the voice messaging is correct defeated
When the voice messaging entered, identifying processing and/or interaction process are carried out to the voice messaging.
3. the control method of intelligent garbage bin according to claim 1 or 2, it is characterised in that: obtain the voice control
Use of information deep learning carries out processing output recognition result and executes associated movement.
4. the control method of intelligent garbage bin according to claim 1, it is characterised in that: utilize intelligent optimization algorithm and mould
It pastes neural network and carries out the active path planning.
5. the control method of intelligent garbage bin according to claim 1, it is characterised in that: connect using image recognition to described
The junk information of receipts is classified.
6. the control method of intelligent garbage bin according to claim 5, it is characterised in that: using convolutional neural networks to figure
The great amount of samples in sheet data library carries out initialization and is converted to the data set that can be handled by it, the figure acquired according to rubbish in dustbin
Classification is realized as information is handled after building model by naturalization.
7. the control method of intelligent garbage bin according to claim 1, it is characterised in that: the appearance of rubbish in detection dustbin
Amount and peculiar smell, issue warning reminding according to testing result.
8. the control method of intelligent garbage bin according to claim 7, it is characterised in that: when dustbin reaches the appearance of setting
When magnitude, warning reminding is issued.
9. a kind of control device of intelligent garbage bin, it is characterised in that: including voice module, categorization module, detection module, alarm
Module, it is described
Voice module, for obtaining the speech-controlled information；
Control module, for controlling the working method and active path planning of dustbin according to the voice messaging；
Action module receives rubbish for being moved to destination according to the path of the planning；
Categorization module classifies to the rubbish for obtaining the image information for receiving rubbish.
10. the control device of intelligent garbage bin according to claim 9, it is characterised in that: the voice module further includes
Judging unit, for judge the voice messaging whether be erroneous input voice messaging.
11. the control device of intelligent garbage bin according to claim 9, it is characterised in that: the voice module further includes
Recognition unit and/or interactive unit, for carrying out identifying processing and/or interaction process to the voice messaging.
12. the control device of intelligent garbage bin according to claim 9, it is characterised in that: it further include capacity check module,
For detecting the capacity of rubbish in the dustbin.
13. the control device of intelligent garbage bin according to claim 9, it is characterised in that: it further include peculiar smell detection module,
For detecting the peculiar smell of rubbish in the dustbin.
14. the control device of intelligent garbage bin according to claim 12 or 13, it is characterised in that: further include alarm mould
Block, for issuing warning reminding according to the testing result.
15. a kind of intelligent garbage bin, including dustbin ontology, it is characterised in that: further include driving mechanism, sorting mechanism and right
It is required that the control device of any intelligent garbage bin of 9-14, the control device controls the driving mechanism to be believed according to voice
Breath controls the dustbin and is moved to destination, and the control device controls the sorting mechanism to the received junk information
Classify.
16. intelligent garbage bin according to claim 15, it is characterised in that: the dustbin ontology includes recyclable rubbish
Bucket and not recyclable dustbin.
17. intelligent garbage bin according to claim 15, it is characterised in that: the sorting mechanism includes being set to recycling rubbish
Rubbish bucket and the connecting rod that not can be recycled between dustbin, the rotary type pressing plate being set on connecting rod, when the rotary type pressing plate rotates
Rubbish after identification is directed respectively into the corresponding recyclable rubbish bucket or the not recyclable dustbin.
18. intelligent garbage bin according to claim 15, it is characterised in that: further include deodorizing device, for removing
State peculiar smell in dustbin.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811422605.4A CN109460028A (en) | 2018-11-23 | 2018-11-23 | The control device and its method and intelligent garbage bin of a kind of intelligent garbage bin |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811422605.4A CN109460028A (en) | 2018-11-23 | 2018-11-23 | The control device and its method and intelligent garbage bin of a kind of intelligent garbage bin |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109460028A true CN109460028A (en) | 2019-03-12 |
Family
ID=65611634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811422605.4A Pending CN109460028A (en) | 2018-11-23 | 2018-11-23 | The control device and its method and intelligent garbage bin of a kind of intelligent garbage bin |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109460028A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948506A (en) * | 2019-03-14 | 2019-06-28 | 南通大学 | A kind of multi-angle garbage classification cloud platform based on deep learning |
| CN110222676A (en) * | 2019-07-04 | 2019-09-10 | 谷建勇 | A kind of garbage classification learning system and its application method |
| CN112633335A (en) * | 2020-12-10 | 2021-04-09 | 长春理工大学 | Garbage classification method and garbage can |
| CN113052005A (en) * | 2021-02-08 | 2021-06-29 | 湖南工业大学 | Garbage sorting method and garbage sorting device for home service |
| CN113156976A (en) * | 2021-05-18 | 2021-07-23 | 安徽新华学院 | Garbage classification trolley |
| CN113450401A (en) * | 2021-07-19 | 2021-09-28 | 北京航空航天大学杭州创新研究院 | Trash can fullness degree determining method, device and equipment and trash can |
| CN114973822A (en) * | 2022-04-21 | 2022-08-30 | 华南师范大学 | Intelligent teaching aid for garbage classification and control method and medium thereof |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0953518B1 (en) * | 1998-04-28 | 2000-11-08 | O.M.B. BRESCIA S.p.A. | A container for collecting rubbish in a differentiated manner |
| JP2006102861A (en) * | 2004-10-04 | 2006-04-20 | Advanced Telecommunication Research Institute International | Robot and robot system |
| CN207046154U (en) * | 2017-05-24 | 2018-02-27 | 西北工业大学 | Intelligent garbage bin |
| CN108033168A (en) * | 2017-12-15 | 2018-05-15 | 柳州市鼎福通用机械厂 | A kind of domestic intelligent dustbin and its control method |
| CN108341184A (en) * | 2018-03-01 | 2018-07-31 | 安徽省星灵信息科技有限公司 | A kind of intelligent sorting dustbin |
| CN108750448A (en) * | 2018-05-29 | 2018-11-06 | 珠海格力电器股份有限公司 | Dustbin control method, device, dustbin and computer readable storage medium |
-
2018
- 2018-11-23 CN CN201811422605.4A patent/CN109460028A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0953518B1 (en) * | 1998-04-28 | 2000-11-08 | O.M.B. BRESCIA S.p.A. | A container for collecting rubbish in a differentiated manner |
| JP2006102861A (en) * | 2004-10-04 | 2006-04-20 | Advanced Telecommunication Research Institute International | Robot and robot system |
| CN207046154U (en) * | 2017-05-24 | 2018-02-27 | 西北工业大学 | Intelligent garbage bin |
| CN108033168A (en) * | 2017-12-15 | 2018-05-15 | 柳州市鼎福通用机械厂 | A kind of domestic intelligent dustbin and its control method |
| CN108341184A (en) * | 2018-03-01 | 2018-07-31 | 安徽省星灵信息科技有限公司 | A kind of intelligent sorting dustbin |
| CN108750448A (en) * | 2018-05-29 | 2018-11-06 | 珠海格力电器股份有限公司 | Dustbin control method, device, dustbin and computer readable storage medium |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948506A (en) * | 2019-03-14 | 2019-06-28 | 南通大学 | A kind of multi-angle garbage classification cloud platform based on deep learning |
| CN109948506B (en) * | 2019-03-14 | 2023-08-01 | 南通大学 | Multi-angle garbage classification cloud platform based on deep learning |
| CN110222676A (en) * | 2019-07-04 | 2019-09-10 | 谷建勇 | A kind of garbage classification learning system and its application method |
| CN112633335A (en) * | 2020-12-10 | 2021-04-09 | 长春理工大学 | Garbage classification method and garbage can |
| CN113052005A (en) * | 2021-02-08 | 2021-06-29 | 湖南工业大学 | Garbage sorting method and garbage sorting device for home service |
| CN113052005B (en) * | 2021-02-08 | 2024-02-02 | 湖南工业大学 | Garbage sorting method and garbage sorting device for household service |
| CN113156976A (en) * | 2021-05-18 | 2021-07-23 | 安徽新华学院 | Garbage classification trolley |
| CN113450401A (en) * | 2021-07-19 | 2021-09-28 | 北京航空航天大学杭州创新研究院 | Trash can fullness degree determining method, device and equipment and trash can |
| CN114973822A (en) * | 2022-04-21 | 2022-08-30 | 华南师范大学 | Intelligent teaching aid for garbage classification and control method and medium thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109460028A (en) | The control device and its method and intelligent garbage bin of a kind of intelligent garbage bin | |
| Gupta et al. | The use of modern technology in smart waste management and recycling: artificial intelligence and machine learning | |
| Miller et al. | Dropout sampling for robust object detection in open-set conditions | |
| CN110294236A (en) | A kind of garbage classification monitoring apparatus, method and server system | |
| CN109684979A (en) | A kind of refuse classification method based on image recognition technology, device and electronic equipment | |
| CN104102181B (en) | Intelligent home control method, device and system | |
| CN110087193A (en) | Information uploading method, device, electronic equipment and the readable storage medium storing program for executing of dustbin | |
| CN109250353A (en) | A kind of dustbin and storage medium with image identification function | |
| CN110963209A (en) | Garbage sorting device and method based on deep reinforcement learning | |
| CN108406848A (en) | A kind of intelligent robot and its motion control method based on scene analysis | |
| CN110040396A (en) | Intelligent garbage bin based on big data, machine learning is made decisions on one's own System and method for | |
| WO2021012761A1 (en) | Garbage classification method, apparatus and device, and storage medium | |
| CN111591622A (en) | Intelligent image voice recognition garbage can based on Internet of things | |
| CN110897555A (en) | Garbage classification method, device, medium and electronic equipment | |
| CN106647354A (en) | Control method, device and system | |
| CN110288035A (en) | A kind of online autonomous learning method and system of intelligent garbage bin | |
| CN107466404A (en) | Articles search method, apparatus and robot | |
| CN113052005B (en) | Garbage sorting method and garbage sorting device for household service | |
| CN112298844A (en) | Garbage classification monitoring method and device | |
| CN108357818A (en) | The dustbin of automatic sorting | |
| CN107564196A (en) | Storing apparatus control method and device | |
| CN108038947A (en) | A kind of intelligent door lock system based on bluetooth | |
| CN108038418A (en) | Rubbish method for cleaning and device | |
| CN110626663A (en) | Garbage classification system and method | |
| CN110406861A (en) | A kind of dustbin automatically opening dustbin cover |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190312 |
|
| RJ01 | Rejection of invention patent application after publication |