CN112777169A - Internet of things monitoring method and system applied to garbage classification putting points - Google Patents

Internet of things monitoring method and system applied to garbage classification putting points Download PDF

Info

Publication number
CN112777169A
CN112777169A CN202011549232.4A CN202011549232A CN112777169A CN 112777169 A CN112777169 A CN 112777169A CN 202011549232 A CN202011549232 A CN 202011549232A CN 112777169 A CN112777169 A CN 112777169A
Authority
CN
China
Prior art keywords
garbage
throwing
state information
point
information
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.)
Granted
Application number
CN202011549232.4A
Other languages
Chinese (zh)
Other versions
CN112777169B (en
Inventor
杨文昭
余丹
兰雨晴
王丹星
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongbiao Huian Information Technology Co Ltd
Original Assignee
Zhongbiao Huian Information Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhongbiao Huian Information Technology Co Ltd filed Critical Zhongbiao Huian Information Technology Co Ltd
Priority to CN202011549232.4A priority Critical patent/CN112777169B/en
Publication of CN112777169A publication Critical patent/CN112777169A/en
Application granted granted Critical
Publication of CN112777169B publication Critical patent/CN112777169B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
    • B65F1/0053—Combination of several 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
    • 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
    • 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
    • B65F2210/128—Data transmitting means
    • 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
    • B65F2210/182—Volume determining means

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Image Analysis (AREA)

Abstract

The invention provides an Internet of things monitoring method and system applied to a garbage classification putting point, which are used for shooting the garbage classification putting point to obtain corresponding video data information, extracting a target image corresponding to a garbage can from the video data information, analyzing the target image to determine the garbage existence state information of the garbage can and the area nearby the garbage can so as to obtain corresponding garbage putting state information, and finally sending the garbage putting state information to a terminal through the Internet of things so as to realize the alarm operation of associating the position information of the garbage classification putting point with the garbage putting state information, thus improving the intelligent degree of operation of the garbage classification putting point, and being convenient for timely positioning and cleaning the garbage classification putting point through the alarm operation of associating the position information of the garbage classification putting point with the garbage putting state information, therefore, the operation sustainability of the garbage classification putting point is improved.

Description

Internet of things monitoring method and system applied to garbage classification putting points
Technical Field
The invention relates to the technical field of Internet of things control, in particular to an Internet of things monitoring method and system applied to garbage classification putting points.
Background
The classified garbage throwing is a main development trend of garbage disposal, and different types of garbage can be treated differently through the classified garbage throwing, so that the garbage recycling efficiency is improved, and the environmental pollution caused by the garbage is reduced. At present, most of garbage classification throwing points are garbage classification throwing points which are unattended and not supported by any intelligent equipment, the garbage throwing amount cannot be monitored in real time, the condition that garbage is discarded randomly cannot be judged accurately and reliably, and the targeted alarm operation cannot be carried out according to the garbage throwing state of the garbage classification throwing points, so that the intelligent degree and the automation degree of the operation of the garbage classification throwing points are seriously reduced, the garbage classification throwing points cannot be cleaned in time, and the operation sustainability of the garbage classification throwing points is reduced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an Internet of things monitoring method and system applied to garbage classification putting points, which obtains video data information about a trash drop point by photographing the trash classification drop point, and preprocesses the video data information, thereby obtaining target images corresponding to all the garbage cans contained in the garbage classification putting point, analyzing and processing the target images, therefore, the garbage existing state information of the garbage can and the area nearby the garbage can is determined, the garbage throwing state information of the garbage classification throwing point is determined according to the garbage existing state information, and finally the garbage throwing state information is sent to a terminal through the Internet of things, and indicating the terminal to perform adaptive alarm operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information; therefore, the Internet of things monitoring method and system applied to the garbage classification throwing point obtains corresponding video data information by shooting the garbage classification throwing point, extracts a target image corresponding to the garbage can from the video data information, analyzes the target image to determine the garbage existing state information of the garbage can and the area nearby the garbage can so as to obtain corresponding garbage throwing state information, and finally sends the garbage throwing state information to a terminal through the Internet of things so as to realize the alarm operation of associating the position information of the garbage classification throwing point with the garbage throwing state information, automatically monitors the garbage classification throwing point in a video shooting mode, can improve the intelligent degree of the operation of the garbage classification throwing point, and simultaneously, through the alarm operation of associating the position information of the garbage classification throwing point with the garbage throwing state information, can be convenient for carry out timely location and clearance to the rubbish classification input point to improve the sustainability of rubbish classification input point operation.
The invention provides an Internet of things monitoring method applied to a garbage classification putting point, which is characterized by comprising the following steps of:
step S1, shooting a garbage classification throwing point to obtain video data information about the garbage throwing point, and preprocessing the video data information to obtain target images corresponding to all garbage cans contained in the garbage classification throwing point;
step S2, analyzing and processing the target image to determine the garbage existing state information of the garbage can and the area nearby the garbage can, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information;
step S3, sending the garbage throwing state information to a terminal machine through the Internet of things, and instructing the terminal machine to perform adaptive alarm operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information;
further, in step S1, the capturing a trash classification drop point to obtain video data information about the trash drop point, and preprocessing the video data information to obtain target images corresponding to all trash cans included in the trash classification drop point specifically includes:
step S101, carrying out periodic scanning shooting on the garbage classification release points so as to obtain video data information about the garbage release points;
step S102, extracting a plurality of image frames from the video data information according to a preset time interval, and identifying the extracted image frames so as to obtain the existing state information of the trash can in the image frames;
step S103, judging whether the trash can in the image frame has a complete shape or not according to the existing state information of the trash can in the image frame, if so, taking the corresponding image frame as the target image, and if not, rejecting the corresponding image frame;
further, in step S2, the analyzing the target image to determine the garbage existing state information of the garbage can itself and the area near the garbage can itself, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information specifically includes:
step S201, performing graying conversion processing on the target image to obtain a corresponding grayed target image, and determining the boundary pixel distribution condition of each of the trash can and the trash in the grayed target image according to the gray level value distribution condition of the pixels in the grayed target image;
step S202, determining the relative position relation information and the garbage amount information between the garbage can and the garbage in the target image according to the boundary pixel distribution condition, and taking the information as the garbage existing state information;
step S203, determining whether the garbage can in the garbage classification throwing point is thrown in an overflow state and/or whether the garbage throwing omission exists near the garbage can according to the relative position relation information and the garbage amount information, and using the situation as the garbage throwing state information;
further, in step S3, sending the trash dispensing status information to a terminal through the internet of things, and instructing the terminal to perform adaptive alarm operation according to the location information of the trash classification dispensing point and the corresponding trash dispensing status information specifically includes:
step S301, sending the garbage throwing state information to a terminal through the Internet of things, and performing correlation processing on the position information of the garbage classified throwing points and the garbage throwing state information so as to display position distribution maps of all the garbage classified throwing points in the terminal;
step S302, if the garbage throwing state information indicates that the garbage can throwing is in an overflow state and/or the garbage throwing omission exists near the garbage can, indicating the terminal to perform corresponding identification operation and/or reminding operation in the position distribution map;
further, the internet of things monitoring method applied to the classified trash drop point further comprises the steps of obtaining target images corresponding to all trash cans contained in the classified trash drop point, calculating trash existing state information of the trash cans and areas nearby the trash cans, obtaining time required for the interior and exterior of the trash cans to reach an alarm value, calculating time difference between the time required for the interior and exterior of the trash cans and the time difference between the interior and exterior of the trash cans and sanitation workers to reach the trash cans, and executing an alarm operation for instructing the terminal machine to perform adaptability according to the position information of the classified trash drop point and the corresponding trash drop state information, wherein the alarm operation:
firstly, acquiring target images corresponding to all garbage cans contained in the garbage classification throwing point, analyzing and processing the target images by using the following formula (1) to acquire garbage existing state information R of the garbage cans and areas nearby the garbage cans,
Figure BDA0002857260940000041
in the formula (1), n represents the total amount of kitchen garbage, recyclable garbage, other garbage and harmful garbage in the garbage bin, the value of n is a positive integer between 4 and 10, t represents the time interval for image shooting of the garbage throwing point and is a positive integer multiple of 3min, and d is the value of dtRepresenting the maximum length, w, of the refuse deposited in the bin during the time interval ttRepresenting the maximum width, h, of the waste deposited in the waste bin within the time interval ttIndicating the contents of the waste bin in time interval tMaximum height of the refuse, ht-1Representing the maximum height, D, of the waste deposited in the bin during the time interval t-1tNumber of gray pixels of image corresponding to the outside of the trash can within time interval t, sum (D)t) E {0,1}, and sum (D) when the number of gray pixel points of the image corresponding to the outside of the garbage bin is greater than 0t) Is 1, and sum (D) is obtained when the number of gray pixel points of the corresponding image outside the garbage bin is equal to 0t) Has a value of 0, Dt-1Representing the number of gray pixels, s, of the corresponding image outside the bin within a time interval t0Representing the area of the unit pixel point set in the image, and 1 unit pixel point set comprises 100 pixel points ltRepresenting the maximum height value, n x w, of the waste deposited outside the bin during the time interval tt*dt*(ht-ht-1) Represents the rate of change, sum (D), of the volume of waste deposited in the bin during the time interval tt)*(Dts0-Dt-1s0)ltRepresents the rate of change of the volume of waste outside the bin over the time interval t, represents,
secondly, acquiring the time Q required by the inner and outer garbage stacking state of the garbage can to reach the warning value according to the garbage existing state information R of the garbage can and the area nearby the garbage can and the following formula (2):
Figure BDA0002857260940000051
in the above formula (2), h0A warning height value l corresponding to the full-load state of the garbage in the preset garbage can is shown0The warning height value corresponding to the situation that the outside of the preset dustbin is in a full-load state of the rubbish is represented, T represents the total throwing and using time of the preset dustbin,
Figure BDA0002857260940000052
the time required for the stacking state of the garbage in the garbage can to reach the preset warning value according to the increase rate of the volume of the currently stacked garbage is expressed,
Figure BDA0002857260940000053
representing the time required for the stacking state of the garbage outside the garbage can to reach a preset warning value according to the increase rate of the volume of the currently stacked garbage;
thirdly, the time Q and the time t when the sanitation worker arrives at the dustbin0Performing a difference calculation, i.e. calculating Q-t0If Q-t0And if the number of the garbage classified putting points is less than 0, the terminal is instructed to perform adaptive alarm operation according to the position information of the garbage classified putting points and the corresponding garbage putting state information.
The invention also provides an Internet of things monitoring system applied to the garbage classification throwing points, which is characterized by comprising a garbage throwing point shooting module, a garbage bin target image acquisition module, a garbage throwing state information determination module and a garbage throwing state alarm module; wherein,
the garbage throwing point shooting module is used for shooting garbage classification throwing points so as to obtain video data information about the garbage throwing points;
the garbage bin target image acquisition module is used for preprocessing the video data information so as to acquire target images corresponding to all garbage bins contained in the garbage classification putting point;
the garbage throwing state information determining module is used for analyzing and processing the target image so as to determine the garbage existing state information of the garbage can and the area nearby the garbage can, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information;
the garbage throwing state alarming module is used for sending the garbage throwing state information to a terminal through the Internet of things and indicating the terminal to carry out adaptive alarming operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information;
further, the shooting module of the trash can shoots the trash classification can so as to obtain the video data information about the trash can specifically include:
periodically scanning and shooting the garbage classification release points to obtain video data information about the garbage release points
And the number of the first and second groups,
the garbage bin target image obtaining module is used for preprocessing the video data information, so that obtaining target images corresponding to all garbage bins contained in the garbage classification putting point specifically comprises the following steps:
extracting a plurality of image frames from the video data information according to a preset time interval, and identifying the extracted image frames so as to obtain the existing state information of the trash can in the image frames;
judging whether the trash cans in the image frames have a complete shape or not according to the existing state information of the trash cans in the image frames, if so, taking the corresponding image frames as the target images, and if not, rejecting the corresponding image frames;
further, the analyzing and processing of the target image by the trash throwing state information determining module determines the trash existing state information of the trash can and the area near the trash can, and determining the trash throwing state information of the trash classification throwing point according to the trash existing state information specifically includes:
performing graying conversion processing on the target image to obtain a corresponding grayed target image, and determining the boundary pixel distribution condition of each of the trash can and the trash in the grayed target image according to the gray level value distribution condition of the pixels in the grayed target image;
determining relative position relation information between the garbage can and the garbage in the target image and garbage amount information according to the boundary pixel distribution condition, and taking the information as the garbage existence state information;
determining whether the garbage can throwing in the garbage classification throwing point is in an overflow state and/or whether the garbage throwing omission exists nearby the garbage can according to the relative position relation information and the garbage amount information, and taking the situation as the garbage throwing state information;
further, the garbage throwing state alarm module sends the garbage throwing state information to a terminal through the internet of things, and instructs the terminal to perform adaptive alarm operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information, specifically including:
sending the garbage throwing state information to a terminal through the Internet of things, and performing correlation processing on the position information of the garbage classified throwing points and the garbage throwing state information so as to display position distribution maps of all the garbage classified throwing points in the terminal;
and if the garbage throwing state information indicates that the garbage throwing is in an overflow state and/or the garbage throwing omission exists near the garbage can, indicating the terminal to perform corresponding identification operation and/or reminding operation in the position distribution map.
Compared with the prior art, the internet of things monitoring method and system applied to the garbage classification putting point obtains video data information about the garbage putting point by shooting the garbage classification putting point, preprocesses the video data information to obtain target images corresponding to all garbage cans contained in the garbage classification putting point, analyzes and processes the target images to determine garbage existence state information of the garbage cans and areas nearby the garbage cans, determines the garbage putting state information of the garbage classification putting point according to the garbage existence state information, and finally sends the garbage putting state information to a terminal through the internet of things to indicate the terminal to perform adaptive alarm operation according to the position information of the garbage classification putting point and the garbage putting state information corresponding to the garbage classification putting point; therefore, the Internet of things monitoring method and system applied to the garbage classification throwing point obtains corresponding video data information by shooting the garbage classification throwing point, extracts a target image corresponding to the garbage can from the video data information, analyzes the target image to determine the garbage existing state information of the garbage can and the area nearby the garbage can so as to obtain corresponding garbage throwing state information, and finally sends the garbage throwing state information to a terminal through the Internet of things so as to realize the alarm operation of associating the position information of the garbage classification throwing point with the garbage throwing state information, automatically monitors the garbage classification throwing point in a video shooting mode, can improve the intelligent degree of the operation of the garbage classification throwing point, and simultaneously, through the alarm operation of associating the position information of the garbage classification throwing point with the garbage throwing state information, can be convenient for carry out timely location and clearance to the rubbish classification input point to improve the sustainability of rubbish classification input point operation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of the internet of things monitoring method applied to the garbage classification drop point provided by the invention.
Fig. 2 is a schematic structural diagram of an internet of things monitoring system applied to a garbage classification drop point provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of an internet of things monitoring method applied to a garbage classification drop point according to an embodiment of the present invention. The Internet of things monitoring method applied to the garbage classification release point comprises the following steps:
step S1, shooting the garbage classification throwing point to obtain video data information about the garbage throwing point, and preprocessing the video data information to obtain target images corresponding to all garbage cans contained in the garbage classification throwing point;
step S2, analyzing the target image to determine the garbage existing state information of the garbage can and the area nearby the garbage can, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information;
and step S3, sending the garbage throwing state information to a terminal machine through the Internet of things, and instructing the terminal machine to perform adaptive alarm operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information.
The beneficial effects of the above technical scheme are: the Internet of things monitoring method applied to the garbage classification putting points obtains corresponding video data information by shooting the garbage classification putting points, extracts target images corresponding to the garbage cans from the video data information, analyzes the target images to determine the garbage existing state information of the garbage cans and the areas nearby the garbage cans so as to obtain corresponding garbage putting state information, and finally sends the garbage putting state information to a terminal through the Internet of things so as to realize alarm operation related to the position information of the garbage classification putting points and the garbage putting state information, adopts a video shooting mode to automatically monitor the garbage classification putting points, so that the intelligent degree of operation of the garbage classification putting points can be improved, and simultaneously, through the alarm operation related to the position information of the garbage classification putting points and the garbage putting state information, can be convenient for carry out timely location and clearance to the rubbish classification input point to improve the sustainability of rubbish classification input point operation.
Preferably, in step S1, the shooting the trash classification drop point to obtain video data information about the trash drop point, and preprocessing the video data information to obtain target images corresponding to all trash cans included in the trash classification drop point specifically includes:
step S101, carrying out periodic scanning shooting on the garbage classification release point so as to obtain video data information about the garbage release point;
step S102, extracting a plurality of image frames from the video data information according to a preset time interval, and identifying the extracted image frames so as to acquire the existing state information of the trash can in the image frames;
step S103, judging whether the trash can in the image frame has a complete shape or not according to the existing state information of the trash can in the image frame, if so, taking the corresponding image frame as the target image, and if not, rejecting the corresponding image frame.
The beneficial effects of the above technical scheme are: panoramic video data information of the garbage classification throwing point can be obtained by periodically scanning and shooting the garbage classification throwing point, so that the existence state of a garbage can in an image frame can be determined accurately and comprehensively in the follow-up process; in addition, when the trash can in the image frame is in an incomplete state, namely, the image corresponding to the trash can does not completely appear in the image frame, the mutual relation between the trash can and the trash can cannot be accurately judged, the corresponding image frame belongs to an invalid image frame, and the invalid image frame existing in the image frame can be quickly removed by judging whether the trash can in the image frame is in an integral form, so that a reliable basis is provided for the processing of the subsequent image frame.
Preferably, in step S2, the analyzing the target image to determine the garbage existing status information of the garbage can itself and the area nearby the garbage can itself, and the determining the garbage throwing status information of the garbage classification throwing point according to the garbage existing status information specifically includes:
step S201, carrying out graying conversion processing on the target image so as to obtain a corresponding grayed target image, and determining the boundary pixel distribution condition of each of the garbage can and the garbage in the grayed target image according to the gray level value distribution condition of the pixels in the grayed target image;
step S202, determining the relative position relation information and the garbage amount information between the garbage can and the garbage in the target image according to the boundary pixel distribution condition, and taking the information as the garbage existence state information;
step S203, determining whether the garbage can throwing in the garbage classification throwing point is in an overflow state and/or whether a garbage throwing omission exists near the garbage can according to the relative position relation information and the garbage amount information, and taking the situation as the garbage throwing state information.
The beneficial effects of the above technical scheme are: because the gray level values of the solid edge area of the trash can and the solid edge area of the trash can in the target image are obviously different from those of other solid parts, the distribution situation of the boundary pixels of the trash can and the trash in the grayed target image is determined according to the distribution situation of the gray level values of the pixels in the grayed target image, and the picture edges of the trash can and the trash in the target image can be accurately determined, so that the information of the relative position relation between the trash can and the trash in the target image and the information of the amount of the trash can are effectively obtained, and the fact whether the trash can be thrown in an overflow state in the trash classification throwing point and/or whether the trash throwing omission exists near the trash can is conveniently and quickly determined.
Preferably, in step S3, sending the trash placement status information to a terminal through the internet of things, and instructing the terminal to perform adaptive alarm operation according to the location information of the trash classification placement point and the corresponding trash placement status information specifically includes:
step S301, sending the garbage throwing state information to a terminal through the Internet of things, and performing correlation processing on the position information of the garbage classified throwing points and the garbage throwing state information so as to display position distribution maps of all the garbage classified throwing points in the terminal;
step S302, if the garbage throwing state information indicates that the garbage can throwing is in an overflow state and/or the garbage throwing omission exists near the garbage can, the terminal is instructed to perform corresponding identification operation and/or reminding operation in the position distribution map.
The beneficial effects of the above technical scheme are: the garbage throwing state information is sent to the terminal through the Internet of things, comprehensive monitoring can be conveniently carried out on the operation conditions of the garbage classification throwing points at different time and different occasions, the position information of the garbage classification throwing points and the garbage throwing state information are subjected to correlation processing, visual display of the garbage classification throwing points can be achieved by obtaining the position distribution map, in addition, when the garbage throwing state information shows that the garbage can is thrown in an overflow state and/or the garbage throwing omission condition exists near the garbage can, corresponding identification operation and/or reminding operation are carried out in the position distribution map, and managers can conveniently and rapidly master corresponding information and improve the response speed and efficiency.
Preferably, the internet of things monitoring method applied to the classified trash drop point further includes acquiring target images corresponding to all trash cans included in the classified trash drop point, calculating trash existing state information of the trash cans and areas near the trash cans, acquiring time required for the interior and exterior of the trash cans to reach an alarm value, calculating time difference between the time required for the interior and exterior of the trash cans and the time required for sanitation workers to reach the trash cans, and executing an alarm operation instructing the terminal to perform adaptability according to the position information of the classified trash drop point and the corresponding trash drop state information, and specifically includes:
firstly, acquiring target images corresponding to all the garbage cans contained in the garbage classification throwing point, analyzing and processing the target images by using the following formula (1) to acquire garbage existing state information R of the garbage cans and the areas nearby the garbage cans,
Figure BDA0002857260940000111
in the formula (1), n represents the total amount of kitchen garbage, recoverable garbage, other garbage and harmful garbage in the garbage bin, the value of n is a positive integer between 4 and 10, t represents the time interval for image shooting of the garbage throwing point and is a positive integer multiple of 3min, and d is the value of dtRepresenting the maximum length, w, of the refuse deposited in the bin during the time interval ttRepresenting the maximum width, h, of the waste deposited in the waste bin within the time interval ttRepresenting the maximum height, h, of the waste stacked in the waste bin within the time interval tt-1Representing the maximum height, D, of the waste deposited in the bin during the time interval t-1tNumber of gray pixels of image corresponding to the outside of the trash can within time interval t, sum (D)t) E {0,1}, and sum (D) when the number of gray pixel points of the image corresponding to the outside of the garbage bin is greater than 0t) Is 1, and sum (D) is obtained when the number of gray pixel points of the corresponding image outside the garbage bin is equal to 0t) Has a value of 0, Dt-1Representing the number of gray pixels, s, of the corresponding image outside the bin within a time interval t0Representing the area of the unit pixel point set in the image, and 1 unit pixel point set comprises 100 pixel points ltRepresenting the maximum height value, n x w, of the waste deposited outside the bin during the time interval tt*dt*(ht-ht-1) Represents the rate of change, sum (D), of the volume of waste deposited in the bin during the time interval tt)*(Dts0-Dt-1s0)ltRepresents the rate of change of the volume of waste outside the bin over the time interval t, represents,
secondly, acquiring the time Q required by the inner and outer garbage stacking state of the garbage can to reach the warning value according to the garbage existing state information R of the garbage can and the area nearby the garbage can and the following formula (2):
Figure BDA0002857260940000121
in the above formula (2), h0A warning height value l corresponding to the full-load state of the garbage in the preset garbage can is shown0The warning height value corresponding to the situation that the outside of the preset dustbin is in a full-load state of the rubbish is represented, T represents the total throwing and using time of the preset dustbin,
Figure BDA0002857260940000122
the time required for the stacking state of the garbage in the garbage can to reach the preset warning value according to the increase rate of the volume of the currently stacked garbage is expressed,
Figure BDA0002857260940000123
representing the time required for the stacking state of the garbage outside the garbage can to reach a preset warning value according to the increase rate of the volume of the currently stacked garbage;
thirdly, the time Q and the time t when the sanitation worker arrives at the dustbin0Performing a difference calculation, i.e. calculating Q-t0If Q-t0And if the number of the garbage classified putting points is less than 0, the terminal is instructed to perform adaptive alarm operation according to the position information of the garbage classified putting points and the corresponding garbage putting state information.
The beneficial effects of the above technical scheme are: the method comprises the steps of obtaining target images of the garbage can and the surrounding environment by shooting garbage classification throwing points, analyzing the target images to determine the garbage existing state information of the garbage can and the garbage nearby area of the garbage can to obtain corresponding garbage throwing state information, judging the time required for reaching the warning point according to the garbage change rate of each time interval, associating alarm operation, improving the intelligent degree of operation of the garbage classification throwing points, facilitating timely positioning and cleaning of the garbage classification throwing points and improving the sustainability of operation of the garbage classification throwing points.
Fig. 2 is a schematic structural diagram of an internet of things monitoring system applied to a garbage classification drop point according to an embodiment of the present invention. The internet of things monitoring system applied to the garbage classification throwing point comprises a garbage throwing point shooting module, a garbage bin target image acquisition module, a garbage throwing state information determination module and a garbage throwing state alarm module; wherein,
the garbage throwing point shooting module is used for shooting garbage classification throwing points so as to obtain video data information about the garbage throwing points;
the garbage bin target image acquisition module is used for preprocessing the video data information so as to acquire target images corresponding to all garbage bins contained in the garbage classification putting point;
the garbage throwing state information determining module is used for analyzing and processing the target image so as to determine the garbage existing state information of the garbage can and the area nearby the garbage can, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information;
the garbage throwing state alarming module is used for sending the garbage throwing state information to a terminal machine through the Internet of things and indicating the terminal machine to carry out adaptive alarming operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information.
The beneficial effects of the above technical scheme are: the Internet of things monitoring system applied to the garbage classification putting points obtains corresponding video data information by shooting the garbage classification putting points, extracts target images corresponding to the garbage cans from the video data information, analyzes the target images to determine the garbage existing state information of the garbage cans and the areas nearby the garbage cans so as to obtain corresponding garbage putting state information, and finally sends the garbage putting state information to a terminal through the Internet of things so as to realize alarm operation related to the position information of the garbage classification putting points and the garbage putting state information, adopts a video shooting mode to automatically monitor the garbage classification putting points, so that the intelligent degree of operation of the garbage classification putting points can be improved, and simultaneously, through the alarm operation related to the position information of the garbage classification putting points and the garbage putting state information, can be convenient for carry out timely location and clearance to the rubbish classification input point to improve the sustainability of rubbish classification input point operation.
Preferably, the shooting module of the trash drops shoots the trash classification drops, so as to obtain the video data information about the trash drops specifically includes:
periodically scanning and shooting the garbage classification release point to obtain video data information about the garbage classification release point
And the number of the first and second groups,
the garbage bin target image obtaining module preprocesses the video data information, so that obtaining target images corresponding to all garbage bins contained in the garbage classification putting point specifically comprises:
extracting a plurality of image frames from the video data information according to a preset time interval, and identifying the extracted image frames so as to obtain the existing state information of the trash can in the image frames;
and judging whether the trash can in the image frame has a complete shape or not according to the existing state information of the trash can in the image frame, if so, taking the corresponding image frame as the target image, and if not, rejecting the corresponding image frame.
The beneficial effects of the above technical scheme are: panoramic video data information of the garbage classification throwing point can be obtained by periodically scanning and shooting the garbage classification throwing point, so that the existence state of a garbage can in an image frame can be determined accurately and comprehensively in the follow-up process; in addition, when the trash can in the image frame is in an incomplete state, namely, the image corresponding to the trash can does not completely appear in the image frame, the mutual relation between the trash can and the trash can cannot be accurately judged, the corresponding image frame belongs to an invalid image frame, and the invalid image frame existing in the image frame can be quickly removed by judging whether the trash can in the image frame is in an integral form, so that a reliable basis is provided for the processing of the subsequent image frame.
Preferably, the garbage throwing state information determining module analyzes and processes the target image to determine the garbage existing state information of the garbage can and the area near the garbage can, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information specifically includes:
performing graying conversion processing on the target image to obtain a corresponding graying target image, and determining the boundary pixel distribution condition of each of the trash can and the trash in the graying target image according to the gray level value distribution condition of the pixels in the graying target image;
determining the relative position relation information between the garbage can and the garbage amount information in the target image according to the boundary pixel distribution condition, and taking the information as the garbage existence state information;
and determining whether the garbage can throwing in the garbage classification throwing point is in an overflow state and/or whether a garbage throwing omission exists nearby the garbage can according to the relative position relation information and the garbage amount information, and taking the situation as the garbage throwing state information.
The beneficial effects of the above technical scheme are: because the gray level values of the solid edge area of the trash can and the solid edge area of the trash can in the target image are obviously different from those of other solid parts, the distribution situation of the boundary pixels of the trash can and the trash in the grayed target image is determined according to the distribution situation of the gray level values of the pixels in the grayed target image, and the picture edges of the trash can and the trash in the target image can be accurately determined, so that the information of the relative position relation between the trash can and the trash in the target image and the information of the amount of the trash can are effectively obtained, and the fact whether the trash can be thrown in an overflow state in the trash classification throwing point and/or whether the trash throwing omission exists near the trash can is conveniently and quickly determined.
Preferably, the method for sending the garbage throwing state information to the terminal by the garbage throwing state alarm module through the internet of things and instructing the terminal to perform adaptive alarm operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information specifically includes:
sending the garbage throwing state information to a terminal through the Internet of things, and performing correlation processing on the position information of the garbage classified throwing points and the garbage throwing state information so as to display position distribution maps of all the garbage classified throwing points in the terminal;
and if the garbage throwing state information indicates that the garbage throwing is in an overflow state and/or the garbage throwing omission exists near the garbage can, indicating the terminal to perform corresponding identification operation and/or reminding operation in the position distribution map.
The beneficial effects of the above technical scheme are: the garbage throwing state information is sent to the terminal through the Internet of things, comprehensive monitoring can be conveniently carried out on the operation conditions of the garbage classification throwing points at different time and different occasions, the position information of the garbage classification throwing points and the garbage throwing state information are subjected to correlation processing, visual display of the garbage classification throwing points can be achieved by obtaining the position distribution map, in addition, when the garbage throwing state information shows that the garbage can is thrown in an overflow state and/or the garbage throwing omission condition exists near the garbage can, corresponding identification operation and/or reminding operation are carried out in the position distribution map, and managers can conveniently and rapidly master corresponding information and improve the response speed and efficiency.
From the content of the above embodiments, the internet of things monitoring method and system applied to the garbage classification drop point can shoot the garbage classification drop point, thereby obtaining video data information about the garbage putting point, and preprocessing the video data information, thereby obtaining target images corresponding to all the garbage cans contained in the garbage classification putting point, analyzing and processing the target images, therefore, the garbage existing state information of the garbage can and the area nearby the garbage can is determined, the garbage throwing state information of the garbage classification throwing point is determined according to the garbage existing state information, and finally the garbage throwing state information is sent to a terminal through the Internet of things, and indicating the terminal to perform adaptive alarm operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information; therefore, the Internet of things monitoring method and system applied to the garbage classification throwing point obtains corresponding video data information by shooting the garbage classification throwing point, extracts a target image corresponding to the garbage can from the video data information, analyzes the target image to determine the garbage existing state information of the garbage can and the area nearby the garbage can so as to obtain corresponding garbage throwing state information, and finally sends the garbage throwing state information to a terminal through the Internet of things so as to realize the alarm operation of associating the position information of the garbage classification throwing point with the garbage throwing state information, automatically monitors the garbage classification throwing point in a video shooting mode, can improve the intelligent degree of the operation of the garbage classification throwing point, and simultaneously, through the alarm operation of associating the position information of the garbage classification throwing point with the garbage throwing state information, can be convenient for carry out timely location and clearance to the rubbish classification input point to improve the sustainability of rubbish classification input point operation.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. The Internet of things monitoring method applied to the garbage classification putting point is characterized by comprising the following steps:
step S1, shooting a garbage classification throwing point to obtain video data information about the garbage throwing point, and preprocessing the video data information to obtain target images corresponding to all garbage cans contained in the garbage classification throwing point;
step S2, analyzing and processing the target image to determine the garbage existing state information of the garbage can and the area nearby the garbage can, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information;
and step S3, sending the garbage throwing state information to a terminal machine through the Internet of things, and instructing the terminal machine to perform adaptive alarm operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information.
2. The internet of things monitoring method applied to the garbage classification putting point, according to claim 1, is characterized in that:
in step S1, the step of shooting the trash classification drop point to obtain video data information about the trash drop point, and preprocessing the video data information to obtain target images corresponding to all trash cans included in the trash classification drop point specifically includes:
step S101, carrying out periodic scanning shooting on the garbage classification release points so as to obtain video data information about the garbage release points;
step S102, extracting a plurality of image frames from the video data information according to a preset time interval, and identifying the extracted image frames so as to obtain the existing state information of the trash can in the image frames;
step S103, judging whether the trash can in the image frame has a complete shape or not according to the existing state information of the trash can in the image frame, if so, taking the corresponding image frame as the target image, and if not, rejecting the corresponding image frame.
3. The internet of things monitoring method applied to the garbage classification putting point, according to claim 2, is characterized in that:
in step S2, the analyzing process is performed on the target image to determine the garbage existing state information of the garbage can itself and the area near the garbage can itself, and the determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information specifically includes:
step S201, performing graying conversion processing on the target image to obtain a corresponding grayed target image, and determining the boundary pixel distribution condition of each of the trash can and the trash in the grayed target image according to the gray level value distribution condition of the pixels in the grayed target image;
step S202, determining the relative position relation information and the garbage amount information between the garbage can and the garbage in the target image according to the boundary pixel distribution condition, and taking the information as the garbage existing state information;
step S203, determining whether the garbage can throwing in the garbage classification throwing point is in an overflow state and/or whether the garbage throwing in the vicinity of the garbage can is missed or not according to the relative position relation information and the garbage amount information, and taking the situation as the garbage throwing state information.
4. The internet of things monitoring method applied to the garbage classification putting point, according to claim 3, is characterized in that:
in step S3, sending the trash dispensing status information to a terminal through the internet of things, and instructing the terminal to perform adaptive alarm operation according to the location information of the trash classification dispensing point and the corresponding trash dispensing status information specifically includes:
step S301, sending the garbage throwing state information to a terminal through the Internet of things, and performing correlation processing on the position information of the garbage classified throwing points and the garbage throwing state information so as to display position distribution maps of all the garbage classified throwing points in the terminal;
step S302, if the garbage throwing state information indicates that the garbage can throwing is in an overflow state and/or the garbage throwing omission exists near the garbage can, the terminal is instructed to perform corresponding identification operation and/or reminding operation in the position distribution map.
5. The internet of things monitoring method applied to the garbage classification putting point, according to claim 1, is characterized in that:
the internet of things monitoring method applied to the garbage classification putting point further comprises the steps of obtaining target images corresponding to all garbage cans contained in the garbage classification putting point, calculating garbage existing state information of the garbage cans and areas nearby the garbage cans, obtaining time required by the garbage cans to reach warning values inside and outside the garbage cans, calculating time difference between the garbage cans and sanitation workers to reach the garbage cans, and executing an alarm operation which indicates the terminal machine to carry out adaptability according to the position information of the garbage classification putting point and the garbage putting state information corresponding to the garbage classification putting point, wherein the alarm operation specifically comprises the following steps:
firstly, acquiring target images corresponding to all garbage cans contained in the garbage classification throwing point, analyzing and processing the target images by using the following formula (1) to acquire garbage existing state information R of the garbage cans and areas nearby the garbage cans,
Figure FDA0002857260930000031
in the formula (1), n represents the total amount of kitchen garbage, recyclable garbage, other garbage and harmful garbage in the garbage bin, the value of n is a positive integer between 4 and 10, t represents the time interval for image shooting of the garbage throwing point and is a positive integer multiple of 3min, and d is the value of dtRepresenting the maximum length, w, of the refuse deposited in the bin during the time interval ttRepresenting the maximum width, h, of the waste deposited in the waste bin within the time interval ttRepresenting the maximum height, h, of the waste stacked in the waste bin within the time interval tt-1Representing the maximum height, D, of the waste deposited in the bin during the time interval t-1tNumber of gray pixels of image corresponding to the outside of the trash can within time interval t, sum (D)t) E {0,1}, and sum (D) when the number of gray pixel points of the image corresponding to the outside of the garbage bin is greater than 0t) Is 1, and sum (D) is obtained when the number of gray pixel points of the corresponding image outside the garbage bin is equal to 0t) Has a value of 0, Dt-1Representing the number of gray pixels, s, of the corresponding image outside the bin within a time interval t01 unit pixel point set packet representing area of unit pixel point set in imageIncluding 100 pixels,/tRepresenting the maximum height value, n x w, of the waste deposited outside the bin during the time interval tt*dt*(ht-ht-1) Represents the rate of change, sum (D), of the volume of waste deposited in the bin during the time interval tt)*(Dts0-Dt-1s0)ltAnd secondly, acquiring the time Q required by the internal and external garbage piling states of the garbage bin to reach an alarm value according to the garbage existing state information R of the garbage bin and the area nearby the garbage bin and the following formula (2):
Figure FDA0002857260930000041
in the above formula (2), h0A warning height value l corresponding to the full-load state of the garbage in the preset garbage can is shown0The warning height value corresponding to the situation that the outside of the preset dustbin is in a full-load state of the rubbish is represented, T represents the total throwing and using time of the preset dustbin,
Figure FDA0002857260930000042
the time required for the stacking state of the garbage in the garbage can to reach the preset warning value according to the increase rate of the volume of the currently stacked garbage is expressed,
Figure FDA0002857260930000043
representing the time required for the stacking state of the garbage outside the garbage can to reach a preset warning value according to the increase rate of the volume of the currently stacked garbage;
thirdly, the time Q and the time t when the sanitation worker arrives at the dustbin0Performing a difference calculation, i.e. calculating Q-t0If Q-t0And if the number of the garbage classified putting points is less than 0, the terminal is instructed to perform adaptive alarm operation according to the position information of the garbage classified putting points and the corresponding garbage putting state information.
6. The internet of things monitoring system applied to the garbage classification throwing points is characterized by comprising a garbage throwing point shooting module, a garbage bin target image acquisition module, a garbage throwing state information determination module and a garbage throwing state alarm module; wherein,
the garbage throwing point shooting module is used for shooting garbage classification throwing points so as to obtain video data information about the garbage throwing points;
the garbage bin target image acquisition module is used for preprocessing the video data information so as to acquire target images corresponding to all garbage bins contained in the garbage classification putting point;
the garbage throwing state information determining module is used for analyzing and processing the target image so as to determine the garbage existing state information of the garbage can and the area nearby the garbage can, and determining the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information;
the garbage throwing state alarming module is used for sending the garbage throwing state information to a terminal through the Internet of things and indicating the terminal to carry out adaptive alarming operation according to the position information of the garbage classification throwing point and the corresponding garbage throwing state information.
7. The internet of things monitoring system applied to the garbage classification putting point as claimed in claim 6, wherein:
the shooting module of the garbage throwing point shoots the garbage classified throwing point, so that the obtaining of the video data information about the garbage throwing point specifically comprises:
periodically scanning and shooting the garbage classification release points to obtain video data information about the garbage release points
And the number of the first and second groups,
the garbage bin target image obtaining module is used for preprocessing the video data information, so that obtaining target images corresponding to all garbage bins contained in the garbage classification putting point specifically comprises the following steps:
extracting a plurality of image frames from the video data information according to a preset time interval, and identifying the extracted image frames so as to obtain the existing state information of the trash can in the image frames;
and then judging whether the trash can in the image frame has a complete shape or not according to the existing state information of the trash can in the image frame, if so, taking the corresponding image frame as the target image, and if not, rejecting the corresponding image frame.
8. The internet of things monitoring system applied to the garbage classification putting point, according to claim 7, is characterized in that:
the garbage throwing state information determining module analyzes and processes the target image to determine garbage existing state information of the garbage can and a region near the garbage can, and the determining of the garbage throwing state information of the garbage classification throwing point according to the garbage existing state information specifically comprises the following steps:
performing graying conversion processing on the target image to obtain a corresponding grayed target image, and determining the boundary pixel distribution condition of each of the trash can and the trash in the grayed target image according to the gray level value distribution condition of the pixels in the grayed target image;
determining relative position relation information between the garbage can and the garbage in the target image and garbage amount information according to the boundary pixel distribution condition, and taking the information as the garbage existence state information;
and determining whether the garbage can throwing in the garbage classification throwing point is in an overflow state and/or whether the garbage throwing omission exists nearby the garbage can according to the relative position relation information and the garbage amount information, and taking the situation as the garbage throwing state information.
9. The internet of things monitoring system applied to the garbage classification putting point, according to claim 8, wherein:
the garbage throwing state alarming module sends the garbage throwing state information to a terminal through the internet of things, and indicates the terminal to perform adaptive alarming operation according to the position information of the garbage classification throwing points and the corresponding garbage throwing state information, and the adaptive alarming operation specifically comprises the following steps:
sending the garbage throwing state information to a terminal through the Internet of things, and performing correlation processing on the position information of the garbage classified throwing points and the garbage throwing state information so as to display position distribution maps of all the garbage classified throwing points in the terminal;
and if the garbage throwing state information indicates that the garbage throwing is in an overflow state and/or the garbage throwing omission exists near the garbage can, indicating the terminal to perform corresponding identification operation and/or reminding operation in the position distribution map.
CN202011549232.4A 2020-12-24 2020-12-24 Internet of things monitoring method and system applied to garbage classification putting points Active CN112777169B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011549232.4A CN112777169B (en) 2020-12-24 2020-12-24 Internet of things monitoring method and system applied to garbage classification putting points

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011549232.4A CN112777169B (en) 2020-12-24 2020-12-24 Internet of things monitoring method and system applied to garbage classification putting points

Publications (2)

Publication Number Publication Date
CN112777169A true CN112777169A (en) 2021-05-11
CN112777169B CN112777169B (en) 2022-03-08

Family

ID=75752063

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011549232.4A Active CN112777169B (en) 2020-12-24 2020-12-24 Internet of things monitoring method and system applied to garbage classification putting points

Country Status (1)

Country Link
CN (1) CN112777169B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113919678A (en) * 2021-09-29 2022-01-11 上海建工四建集团有限公司 Village garbage throwing point site selection method
CN114283387A (en) * 2022-03-08 2022-04-05 深圳市万物云科技有限公司 Intelligent garbage point cleaning work order generation method and device and related medium
CN114971274A (en) * 2022-05-24 2022-08-30 广州谷威信息科技有限公司 Use method of digital city management information system
CN115043111A (en) * 2022-05-23 2022-09-13 海南省量心环保科技有限公司 Intelligent garbage can detection system
CN115147920A (en) * 2022-05-18 2022-10-04 福州大学 Information processing method, device, equipment, medium and product of garbage throwing point
CN117974387A (en) * 2023-12-20 2024-05-03 南通正能环保科技有限公司 Intelligent city treatment system based on Internet of things

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2806502A1 (en) * 2000-03-20 2001-09-21 Plazur Method for monitoring hazardous waste containers from their point of generation, e.g. a hospital, to their point of destruction, e.g. by incineration, uses identifiable and sealable plastic containers
WO2002040381A1 (en) * 2000-11-16 2002-05-23 Patrick Schiltz Method and device for collecting household refuse
CN110428065A (en) * 2019-07-25 2019-11-08 北京思迪环保科技服务有限公司 A kind of fast receipts cloud management plateform system
CN110758942A (en) * 2019-10-29 2020-02-07 吴欣颐 Classified garbage treatment system with garbage classification box and method
CN110909092A (en) * 2019-10-10 2020-03-24 重庆特斯联智慧科技股份有限公司 State monitoring and maintaining Internet of things system for community public facilities

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2806502A1 (en) * 2000-03-20 2001-09-21 Plazur Method for monitoring hazardous waste containers from their point of generation, e.g. a hospital, to their point of destruction, e.g. by incineration, uses identifiable and sealable plastic containers
WO2002040381A1 (en) * 2000-11-16 2002-05-23 Patrick Schiltz Method and device for collecting household refuse
CN110428065A (en) * 2019-07-25 2019-11-08 北京思迪环保科技服务有限公司 A kind of fast receipts cloud management plateform system
CN110909092A (en) * 2019-10-10 2020-03-24 重庆特斯联智慧科技股份有限公司 State monitoring and maintaining Internet of things system for community public facilities
CN110758942A (en) * 2019-10-29 2020-02-07 吴欣颐 Classified garbage treatment system with garbage classification box and method

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113919678A (en) * 2021-09-29 2022-01-11 上海建工四建集团有限公司 Village garbage throwing point site selection method
CN114283387A (en) * 2022-03-08 2022-04-05 深圳市万物云科技有限公司 Intelligent garbage point cleaning work order generation method and device and related medium
CN115147920A (en) * 2022-05-18 2022-10-04 福州大学 Information processing method, device, equipment, medium and product of garbage throwing point
CN115043111A (en) * 2022-05-23 2022-09-13 海南省量心环保科技有限公司 Intelligent garbage can detection system
CN114971274A (en) * 2022-05-24 2022-08-30 广州谷威信息科技有限公司 Use method of digital city management information system
CN117974387A (en) * 2023-12-20 2024-05-03 南通正能环保科技有限公司 Intelligent city treatment system based on Internet of things

Also Published As

Publication number Publication date
CN112777169B (en) 2022-03-08

Similar Documents

Publication Publication Date Title
CN112777169B (en) Internet of things monitoring method and system applied to garbage classification putting points
CN109684979B (en) Image recognition technology-based garbage classification method and device and electronic equipment
CN112308898B (en) Garbage supervision system based on Internet of things
CN104966304A (en) Kalman filtering and nonparametric background model-based multi-target detection tracking method
CN1897015A (en) Method and system for inspecting and tracting vehicle based on machine vision
CN112597804B (en) Voice prompt and video image supervision method for garbage classification delivery site
CN112499017A (en) Garbage classification method and device and garbage can
CN110321779B (en) Inspection method and system for garbage throwing point and computer readable storage medium
CN115035391B (en) Garbage can overflow judging method and judging system
CN110921154A (en) Method and device for controlling garbage collection patrol car and garbage collection patrol car
CN113255588B (en) Garbage cleaning method and device for garbage sweeper, electronic equipment and storage medium
CN114715562B (en) Recognition method for kitchen waste illegal throwing behavior
CN111753844A (en) Dry and wet garbage classification method, classification box and classification system
CN115661732A (en) Garbage classification and supervision method based on AI intelligent recognition system
CN110276300B (en) Method and device for identifying quality of garbage
CN110728212A (en) Road well lid monitoring device and method based on computer vision
CN113792696A (en) Vehicle target quality evaluation method applied to target snapshot
CN112875077A (en) Garbage classification method and classification system for large garbage station
CN113222082A (en) Intelligent garbage station control method, system and device and storage medium
JPH09185710A (en) Garbage staying detection device
CN117809211A (en) Garbage mix and throw identification method and device, electronic equipment and storage medium
CN117765434B (en) On-site video image processing method and system for constructional engineering
CN117974387A (en) Intelligent city treatment system based on Internet of things
CN115272157A (en) Garbage supervision method, system, equipment and computer readable storage medium
CN116395299A (en) AI-based household garbage and renewable resource release detection method and equipment

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
GR01 Patent grant
GR01 Patent grant