CN110329676A - A kind of smart city dustbin load monitoring method and device - Google Patents
A kind of smart city dustbin load monitoring method and device Download PDFInfo
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- CN110329676A CN110329676A CN201910617758.2A CN201910617758A CN110329676A CN 110329676 A CN110329676 A CN 110329676A CN 201910617758 A CN201910617758 A CN 201910617758A CN 110329676 A CN110329676 A CN 110329676A
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- dustbin
- loading
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- data
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
- B65F1/1484—Other constructional features; Accessories relating to the adaptation of receptacles to carry identification means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/138—Identification means
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Refuse Collection And Transfer (AREA)
Abstract
The application discloses a kind of smart city dustbin load monitoring method and device, and the method includes obtaining the image data and dustbin specification data of the shooting of preset time point dustbin periphery camera；Image recognition is carried out to image data using training pattern, the degree of loading of dustbin is calculated according to image recognition result and dustbin specification data；The load level of dustbin is determined according to degree of loading；Determined whether to alert and alert grade according to load level.The application passes through timing acquisition dustbin periphery video monitoring data and dustbin specifications and models, monitoring dustbin degree of loading in real time, and according to dustbin degree of loading is monitored, alerted in various degree, reminds environmental sanitation responsible department or person liable's reasonable arrangement garbage collection follow-up work in real time.And then can solve by regular timed collection rubbish, it is caused to collect overload rubbish in time, or the problem of frequently collect unloaded, underloading rubbish, improve garbage truck utilization efficiency, avoid the wasting of resources.
Description
Technical field
This application involves municipal environmental sanitation garbage collection administrative skill field, in particular to a kind of smart city dustbin load
Monitoring method and device.
Background technique
The monitoring of China's municipal refuse bucket degree of loading, does not use advanced technological means, the load condition of dustbin cannot
Effective monitoring.Environmental sanitation department easily causes rubbish to overload according only to periodically recycling rubbish is estimated rubbish in advance, but without
Arrange garbage collection work.Or the period collects rubbish to garbage truck according to schedule, but due to the underloading of rubbish point rubbish along the line or empty
It carries, causes the low wasting of resources of garbage truck utilization efficiency.
Summary of the invention
The application's is designed to provide a kind of smart city dustbin load monitoring method, negative to solve current dustbin
Lotus monitors improper the problem of leading to low garbage truck utilization efficiency, the wasting of resources.
On the one hand, according to an embodiment of the present application, a kind of smart city dustbin load monitoring method is provided, comprising:
Obtain the image data and dustbin specification data of the shooting of preset time point dustbin periphery camera；
Image recognition is carried out to the image data using training pattern, is advised according to image recognition result and the dustbin
Lattice data calculate the degree of loading of the dustbin；
The load level of the dustbin is determined according to the degree of loading；
Determined whether to alert and alert grade according to the load level.
Further, the step of load level that the dustbin is determined according to degree of loading, comprising:
When the degree of loading is less than or equal to 30%, the load level of the dustbin is underloading；
When the degree of loading is greater than 30% and is less than or equal to 80%, the load level of the dustbin is normal；
When the degree of loading is greater than or equal to 80% and is less than or equal to 100%, the load level of the dustbin is
Heavy duty；
When the degree of loading is greater than 100%, the load level of the dustbin is overload.
It is further, described that the step of alerting and alerting grade is determined whether according to load level, comprising:
When the load level is underloading or is normal, do not alert；
When the load level is that when overloaded, alarm grade is heavy duty alarm；
When the load level is overload, alarm grade is overload alarm.
Further, the alarm mode include short message push, intelligent sound calling, mobile terminal application prompts and/
Or website pushed information.
Further, the method also includes:
Extract the image data and the corresponding degree of loading of the influence data；
The image data and the audit data for influencing the corresponding degree of loading of data after acquisition manual examination and verification；
The training audit data, obtain training pattern；
Update the training pattern.
Further, the method also includes:
Preliminary treatment is carried out to the image data.
On the other hand, according to an embodiment of the present application, a kind of smart city dustbin load monitoring device is provided, is wrapped
It includes:
First acquisition unit, for obtaining the image data and dustbin of the shooting of preset time point dustbin periphery camera
Specification data；
Image recognition and computing unit, for carrying out image recognition to the image data using training pattern, according to figure
As recognition result and the dustbin specification data, the degree of loading of the dustbin is calculated；
Load level determination unit, for determining the load level of the dustbin according to the degree of loading；
Alarm Unit alerts and alerts grade for determining whether according to the load level.
Further, described device further include:
Extraction unit, for extracting the image data and the corresponding degree of loading of the influence data；
Second acquisition unit, for obtaining the image data and the corresponding degree of loading of the influence data after manual examination and verification
Audit data；
Training unit obtains training pattern for training the audit data；
Updating unit, for updating the training pattern.
Further, described device further include:
Preliminary treatment unit, for carrying out preliminary treatment to the image data.
From the above technical scheme, the embodiment of the present application provides a kind of smart city dustbin load monitoring method and dress
It sets, which comprises obtain the image data and dustbin specification data of the shooting of preset time point dustbin periphery camera；
Image recognition is carried out to the image data using training pattern, according to image recognition result and the dustbin specification data,
Calculate the degree of loading of the dustbin；The load level of the dustbin is determined according to the degree of loading；According to described load etc.
Grade determines whether to alert and alert grade.The application passes through timing acquisition dustbin periphery video monitoring data and dustbin specification
Model data monitors the dustbin load of machinery systems in real time, and can carry out different degrees of announcement according to dustbin degree of loading is monitored
It is alert, environmental sanitation responsible department or person liable's reasonable arrangement garbage collection follow-up work are reminded in real time.And then it can solve by periodically timing
Rubbish is collected, it is caused to collect overload rubbish in time, or frequently collect zero load, be lightly loaded the problem of rubbish, improve garbage truck
Utilization efficiency avoids the wasting of resources.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the application
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow chart that a kind of smart city dustbin load monitoring method is shown according to the embodiment of the present application；
Fig. 2 is the structural block diagram that a kind of smart city dustbin load monitoring device is shown according to the embodiment of the present application.
Specific embodiment
Refering to fig. 1, the embodiment of the present application provides a kind of smart city dustbin load monitoring method, comprising:
Step S1, the image data and dustbin specification data of the shooting of preset time point dustbin periphery camera are obtained；
The image data of each time point is recorded by camera, image data includes the photo of dustbin, and image is adopted
Sample transmission can once be transferred to backstage in every ten minutes or 15 minutes, and image data can also include rubbish impressions and dispensing
Amount.
Step S2, image recognition is carried out to the image data using training pattern, according to image recognition result and described
Dustbin specification data calculates the degree of loading of the dustbin；
It estimates dustbin is loaded with how many quantity of refuse in conjunction with the specification data of dustbin by image recognition, calculates rubbish
Bucket degree of loading.
Optionally, main to monitor dustbin inner case inside camera radiation dustbin.
Optionally, dustbin inner wall is built-in or outer installing (by inlay or bonding method) pressure of placing bar shaped passes
Sensor, and including the setting of dustbin height.It is comparable to accurately calculate dustbin according to pre-set dustbin radius
Residual capacity.
Its calculation formula is as follows: Li=π * r2*(H-Hi)
L in formulaiFor the dustbin residual capacity at the i-th moment, r is dustbin radius, and H is the height of dustbin, HiFor rubbish
The load at the i-th moment of bucket.
Step S3, the load level of the dustbin is determined according to the degree of loading；
Specifically, the step of load level that the dustbin is determined according to degree of loading, comprising:
When the degree of loading is less than or equal to 30%, the load level of the dustbin is underloading；
When the degree of loading is greater than 30% and is less than or equal to 80%, the load level of the dustbin is normal；
When the degree of loading is greater than or equal to 80% and is less than or equal to 100%, the load level of the dustbin is
Heavy duty；
When the degree of loading is greater than 100%, the load level of the dustbin is overload.
Step S4, determined whether to alert and alert grade according to the load level.
It is further, described that the step of alerting and alerting grade is determined whether according to load level, comprising:
When the load level is underloading or is normal, do not alert；
When the load level is that when overloaded, alarm grade is heavy duty alarm；
When the load level is overload, alarm grade is overload alarm.
From the above technical scheme, the application is advised by timing acquisition dustbin periphery video monitoring data and dustbin
Lattice number monitors the dustbin load of machinery systems in real time, and can carry out different degrees of announcement according to dustbin degree of loading is monitored
It is alert, environmental sanitation responsible department or person liable's reasonable arrangement garbage collection follow-up work are reminded in real time.And then it can solve by periodically timing
Rubbish is collected, it is caused to collect overload rubbish in time, or frequently collect zero load, be lightly loaded the problem of rubbish, improve garbage truck
Utilization efficiency avoids the wasting of resources.
Further, the alarm mode include short message push, intelligent sound calling, mobile terminal application prompts and/
Or website pushed information.A variety of alarm modes remind environmental sanitation responsible department or the subsequent work of person liable's reasonable arrangement garbage collection in real time
Make.
Further, method provided by the present application needs to regularly schedule business personnel and identifies to the picture of intelligent decision
Audit, therefore, the method also includes:
Extract the image data and the corresponding degree of loading of the influence data；
The application extracts part intelligent decision picture recognition at random as a result, i.e. partial image data and its corresponding load
Degree, manual examination and verification, which are mainly staff, abandons processing to partial error picture or the higher image of the distortion factor, it is remaining just
True picture and result are audit data.
The image data and the audit data for influencing the corresponding degree of loading of data after acquisition manual examination and verification；
The training audit data, obtain training pattern；
Update the training pattern.
It regularly schedules business personnel and identification audit is carried out to the picture of intelligent decision, help to improve the correct of picture recognition
Rate.
Further, the method also includes:
Preliminary treatment is carried out to the image data.
The application needs the image data to acquisition, especially photo, carries out preliminary treatment, the purpose of preliminary treatment is to keep away
Exempt from abnormal data and unqualified data to background transfer, occupies communication channel, increase and calculate pressure.Preliminary treatment can be by working
Personnel complete, and can also delete the picture apparently without dustbin feature by carrying out simple scanning identification to picture to equipment.
Referring to Fig.2, the embodiment of the present application provides a kind of smart city dustbin load monitoring device, comprising:
First acquisition unit 101, for obtaining the image data and rubbish of the shooting of preset time point dustbin periphery camera
Rubbish bucket specification data；
Image recognition and computing unit 102, for carrying out image recognition to the image data using training pattern, according to
Image recognition result and the dustbin specification data, calculate the degree of loading of the dustbin；
Load level determination unit 103, for determining the load level of the dustbin according to the degree of loading；
Alarm Unit 104 alerts and alerts grade for determining whether according to the load level.
Further, described device further include:
Extraction unit, for extracting the image data and the corresponding degree of loading of the influence data；
Second acquisition unit, for obtaining the image data and the corresponding degree of loading of the influence data after manual examination and verification
Audit data；
Training unit obtains training pattern for training the audit data；
Updating unit, for updating the training pattern.
Further, described device further include:
Preliminary treatment unit, for carrying out preliminary treatment to the image data.
From the above technical scheme, the embodiment of the present application provides a kind of smart city dustbin load monitoring method and dress
It sets, which comprises obtain the image data and dustbin specification data of the shooting of preset time point dustbin periphery camera；
Image recognition is carried out to the image data using training pattern, according to image recognition result and the dustbin specification data,
Calculate the degree of loading of the dustbin；The load level of the dustbin is determined according to the degree of loading；According to described load etc.
Grade determines whether to alert and alert grade.The application passes through timing acquisition dustbin periphery video monitoring data and dustbin specification
Model data monitors the dustbin load of machinery systems in real time, and can carry out different degrees of announcement according to dustbin degree of loading is monitored
It is alert, environmental sanitation responsible department or person liable's reasonable arrangement garbage collection follow-up work are reminded in real time.And then it can solve by periodically timing
Rubbish is collected, it is caused to collect overload rubbish in time, or frequently collect zero load, be lightly loaded the problem of rubbish, improve garbage truck
Utilization efficiency avoids the wasting of resources.
Those skilled in the art will readily occur to its of the application after considering specification and practicing application disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the application are by following
Claim is pointed out.
It should be understood that the application is not limited to the precise structure that has been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.Scope of the present application is only limited by the accompanying claims.
Claims (9)
1. a kind of smart city dustbin load monitoring method characterized by comprising
Obtain the image data and dustbin specification data of the shooting of preset time point dustbin periphery camera；
Image recognition is carried out to the image data using training pattern, according to image recognition result and the dustbin specification number
According to calculating the degree of loading of the dustbin；
The load level of the dustbin is determined according to the degree of loading；
Determined whether to alert and alert grade according to the load level.
2. the method according to claim 1, wherein the load etc. for determining the dustbin according to degree of loading
The step of grade, comprising:
When the degree of loading is less than or equal to 30%, the load level of the dustbin is underloading；
When the degree of loading is greater than 30% and is less than or equal to 80%, the load level of the dustbin is normal；
When the degree of loading is greater than or equal to 80% and is less than or equal to 100%, the load level of the dustbin is heavy duty；
When the degree of loading is greater than 100%, the load level of the dustbin is overload.
3. according to the method described in claim 2, it is characterized in that, described determine whether to alert and alert etc. according to load level
The step of grade, comprising:
When the load level is underloading or is normal, do not alert；
When the load level is that when overloaded, alarm grade is heavy duty alarm；
When the load level is overload, alarm grade is overload alarm.
4. intelligent sound is exhaled the method according to claim 1, wherein the alarm mode includes short message push
It cries, mobile terminal application prompts and/or website pushed information.
5. the method according to claim 1, wherein further include:
Extract the image data and the corresponding degree of loading of the influence data；
The image data and the audit data for influencing the corresponding degree of loading of data after acquisition manual examination and verification；
The training audit data, obtain training pattern；
Update the training pattern.
6. the method according to claim 1, wherein further include:
Preliminary treatment is carried out to the image data.
7. a kind of smart city dustbin load monitoring device characterized by comprising
First acquisition unit, for obtaining the image data and dustbin specification of the shooting of preset time point dustbin periphery camera
Data；
Image recognition and computing unit are known for carrying out image recognition to the image data using training pattern according to image
Other result and the dustbin specification data, calculate the degree of loading of the dustbin；
Load level determination unit, for determining the load level of the dustbin according to the degree of loading；
Alarm Unit alerts and alerts grade for determining whether according to the load level.
8. device according to claim 7, which is characterized in that further include:
Extraction unit, for extracting the image data and the corresponding degree of loading of the influence data；
Second acquisition unit, for obtaining after manual examination and verification the image data and described influencing examining for the corresponding degree of loading of data
Nuclear Data；
Training unit obtains training pattern for training the audit data；
Updating unit, for updating the training pattern.
9. device according to claim 7, which is characterized in that further include:
Preliminary treatment unit, for carrying out preliminary treatment to the image data.
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| CN201910617758.2A CN110329676A (en) | 2019-07-10 | 2019-07-10 | A kind of smart city dustbin load monitoring method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910617758.2A CN110329676A (en) | 2019-07-10 | 2019-07-10 | A kind of smart city dustbin load monitoring method and device |
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| US20190019167A1 (en) * | 2016-07-13 | 2019-01-17 | GreenQ Ltd. | Device, system and method for the monitoring, control and optimization of a waste pickup service |
| CN109389161A (en) * | 2018-09-28 | 2019-02-26 | 广州大学 | Rubbish identification evolutionary learning method, apparatus, system and medium based on deep learning |
| CN109867059A (en) * | 2019-03-29 | 2019-06-11 | 克拉玛依市诚谊科技服务有限公司 | Garbage classification intelligence jettison system |
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2019
- 2019-07-10 CN CN201910617758.2A patent/CN110329676A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190019167A1 (en) * | 2016-07-13 | 2019-01-17 | GreenQ Ltd. | Device, system and method for the monitoring, control and optimization of a waste pickup service |
| CN207192043U (en) * | 2017-09-18 | 2018-04-06 | 广东瀚蓝生物环保科技有限公司 | Intelligent garbage bin |
| CN108001898A (en) * | 2018-01-12 | 2018-05-08 | 安徽理工大学 | One kind is based on Internet of Things intelligent classification garbage container |
| CN109389161A (en) * | 2018-09-28 | 2019-02-26 | 广州大学 | Rubbish identification evolutionary learning method, apparatus, system and medium based on deep learning |
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Application publication date: 20191015 |
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