CN113222082A - Intelligent garbage station control method, system and device and storage medium - Google Patents
Intelligent garbage station control method, system and device and storage medium Download PDFInfo
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Abstract
The application relates to the field of garbage station supervision, and discloses an intelligent garbage station management and control method, a system, a device and a storage medium, wherein the method comprises the steps that a management and control terminal receives weight information acquired by a weighing sensor located at a garbage can placing position; if the weight is lower than a first threshold value, the control terminal updates the garbage bin state of the garbage bin placing position to be a bin-free state. The intelligent garbage station management and control method, the system, the device and the storage medium can automatically monitor and update the situation that the garbage station has no garbage can, improve the garbage station management and control efficiency and reduce the labor cost.
Description
Technical Field
The application relates to the technical field of garbage station supervision, in particular to an intelligent garbage station management and control method, system, device and storage medium.
Background
The garbage bin of current rubbish station is cleared up by sanitation personnel, and sanitation personnel may forget to put back the garbage bin in the in-process of clearance, causes the influence to user's input rubbish.
In order to avoid the above phenomena, a manual inspection and corresponding updating mode is usually adopted, and the manual management and control mode has low efficiency and high labor cost.
Disclosure of Invention
An object of the embodiments of the present application is to provide an intelligent garbage station management and control method, system, device and storage medium, which can automatically monitor and update the situation that a garbage station has no garbage can.
In order to achieve the purpose, the invention adopts the following technical scheme:
an embodiment of a first aspect of the present invention provides an intelligent garbage station management and control method, where the method includes:
the control terminal receives weight information collected by a weighing sensor located at the garbage can placing position;
if the weight is lower than a first threshold value, the control terminal updates the garbage bin state of the garbage bin placing position to be a bin-free state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
if the weight is not lower than the first threshold value and lower than a second threshold value, the control terminal updates the garbage can state of the garbage can placing position to be a keg placing state.
According to an implementation manner of the embodiment of the first aspect of the present invention, if the weight is not lower than the second threshold and lower than a third threshold, the management and control terminal updates the trash can state of the trash can placement position to a large can placement state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
if the weight is within the standard threshold range, the control terminal receives an image of the placement position of the garbage can, which is acquired by a camera;
when the control terminal identifies the trash can according to the image of the trash can placing position, the control terminal updates the trash can state of the trash can placing position to be a can state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
the control terminal extracts trash can type information and placement position information from the image of the trash can placement position, and judges whether the type of the trash can corresponds to the placement position or not according to the extracted information;
if the type of the garbage can does not correspond to the placed position, the control terminal updates the garbage can state of the garbage can placed position to be a misplaced garbage can state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
if the weight is lower than a fourth threshold value, the control terminal updates the garbage bin state of the garbage bin placing position to be an empty bin state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
if the weight is not lower than a fifth threshold value, the control terminal receives a garbage can image collected by a camera;
when the control terminal identifies the garbage in the garbage can top area according to the garbage can image, the control terminal updates the garbage can state of the garbage can placing position to be a full can state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
if the weight variation of the two adjacent garbage cans exceeds the standard variation threshold, the control terminal updates the garbage can state of the garbage can placement position to be an abnormal state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
when the garbage can is in an abnormal state, the control terminal receives images of the periphery of the garbage can collected by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight change of the two adjacent garbage cans is a descending trend, the control terminal updates the garbage can state of the garbage can placing position of the garbage can to be a manual garbage picking state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
when the garbage can is in a manual garbage picking state, the control terminal records the unchanged weight of the garbage can and the image characteristics of the human body;
the control terminal analyzes the weight information acquired by a subsequent weighing sensor, acquires a current garbage can peripheral image acquired by a camera if the weight of the garbage can is the same as the unchanged weight, and updates the manual garbage picking state to a compacted garbage state when recognizing that the image features of a human body are matched with the recorded image features of the human body according to the current garbage can peripheral image.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
when the garbage can is in an abnormal state, the control terminal receives images of the periphery of the garbage can collected by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight change of the two adjacent garbage cans is an ascending trend, the control terminal updates the garbage can state of the garbage can placing position of the garbage can to be an artificial malicious garbage throwing state.
According to an implementable manner of the embodiment of the first aspect of the present invention, the method further comprises:
and the management and control terminal sends the updated garbage can state information to the user terminal corresponding to the garbage can placement position.
An embodiment of a second aspect of the present invention provides an intelligent garbage station management and control system, including:
the first receiving module is used for receiving weight information acquired by a weighing sensor positioned at the placement position of the garbage can;
the first updating module is used for updating the garbage can state of the garbage can placing position to be a can-free state when the weight is lower than a first threshold value.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the second updating module is used for updating the garbage can state of the garbage can placing position to be a keg placing state when the weight is not lower than the first threshold and is lower than a second threshold.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the third updating module is used for updating the garbage can state of the garbage can placing position to be the large can placing state when the weight is not lower than the second threshold and lower than a third threshold.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the second receiving module is used for receiving the image of the placement position of the garbage can collected by the camera when the weight is within the standard threshold range;
the first image analysis module is used for carrying out trash can identification on the image at the trash can placing position;
and the fourth updating module is used for updating the garbage can state of the garbage can placing position to be a can state when the first image analysis module identifies the garbage can.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the second image analysis module is used for extracting garbage can type information and placement position information from the image at the garbage can placement position, and judging whether the type of the garbage can corresponds to the placement position or not according to the extracted information;
and the fifth updating module is used for updating the garbage can state of the garbage can placing position to be the misplaced garbage can state when the type of the garbage can does not correspond to the placing position.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the sixth updating module is used for updating the garbage can state of the garbage can placing position to be an empty can state when the weight is lower than a fourth threshold value.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the third receiving module is used for receiving the garbage can image acquired by the camera when the weight is not lower than a fifth threshold value;
the third image analysis module is used for identifying the garbage on the top of the garbage can according to the garbage can image;
and the seventh updating module is used for updating the garbage bin state of the garbage bin placement position to be a full bin state when the garbage bin image identifies the garbage in the garbage bin top area.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the eighth updating module is used for updating the garbage can state of the garbage can placement position to be an abnormal state when the weight variation of the garbage cans at two adjacent times exceeds the standard variation threshold value.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the fourth receiving module is used for receiving the images of the periphery of the garbage can collected by the camera when the state of the garbage can is abnormal;
the fourth image analysis module is used for carrying out human body recognition according to the peripheral image of the garbage can;
and the ninth updating module is used for updating the garbage can state of the garbage can placing position to be a manual garbage picking state when the fourth image analysis module identifies a human body and the weight change of the garbage cans in two adjacent times is a descending trend.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the recording module is used for recording the unchanged weight of the garbage bin and the image characteristics of the human body when the garbage bin is in the man-made garbage picking state;
the judging module is used for analyzing the weight information acquired by the subsequent weighing sensor, and sending an instruction to the acquiring module if the weight of the garbage can is the same as the unchanged weight;
the acquisition module is used for acquiring the current garbage can periphery image acquired by the camera according to the instruction;
and the state confirmation module is used for updating the manual garbage picking state into a compacted garbage state when the image characteristics of the human body are identified to be matched with the recorded image characteristics of the human body according to the current garbage can peripheral image.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the fifth receiving module is used for receiving the peripheral image of the garbage can collected by the camera when the state of the garbage can is abnormal;
the fifth image analysis module is used for carrying out human body recognition according to the peripheral image of the garbage can;
and the tenth updating module is used for updating the garbage can state of the garbage can placing position to be an artificial malicious garbage throwing state when the fifth image analysis module identifies that the weight of the human body changes to be an ascending trend.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the sending module is used for sending the updated garbage can state information to the user terminal corresponding to the garbage can placement position.
A third aspect of the present invention provides an intelligent garbage station management and control apparatus, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the processor implements the intelligent garbage station management and control method according to any one of the above embodiments.
A fourth aspect of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed, the method for managing and controlling an intelligent garbage station is implemented as described in any one of the above embodiments.
According to the embodiment of the invention, the weighing sensor is used for collecting the weight information of the garbage can, and the control terminal is used for analyzing and processing the collected information, so that the situation that the garbage station has no garbage can be automatically monitored and updated, the garbage station control efficiency is improved, and the labor cost is reduced.
Drawings
Fig. 1 is a schematic flow chart of a preferred embodiment of an intelligent garbage station management and control method provided by the present invention;
fig. 2 is a schematic structural diagram of an intelligent garbage station management and control system according to a preferred embodiment of the present invention.
Reference numerals:
the device comprises a first receiving module 1 and a first updating module 2.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
In the description of the present invention, it should be understood that the numbers themselves, such as "first", "second", etc., are used only for distinguishing the described objects, and do not have technical meaning, and cannot be understood as defining or implying importance of the described objects.
Fig. 1 is a schematic flow chart of an intelligent garbage station management and control method according to a preferred embodiment of the present invention.
As shown in fig. 1, the method includes:
s1 management and control terminal receives the weight information collected by the weighing sensor located at the garbage can placing position.
Specifically, the management and control terminal may be a remote server, a management platform, a service center, a management platform, or the like. The load cell may be any sensor capable of detecting the weight of the trash can. At present every garbage station is because it is more to collect heterogeneous rubbish or rubbish quantity, all can place a plurality of garbage bins in same garbage station, for the management and control of garbage bin, sets up a plurality of garbage bins in advance usually and places the position, and then places the garbage bin on every garbage bin places the position. The garbage can placing position refers to a position where a garbage can is set in a garbage station, the specific position of the weighing sensor is not limited, and the weight of the garbage can be detected after the garbage can is placed in the garbage can placing position. In a preferred embodiment, the load cell is arranged at the center of the ground where the trash can is placed.
And S2, if the weight is lower than a first threshold value, the control terminal updates the garbage can state of the garbage can placement position to be a garbage-free state. Wherein the first threshold value can be set with reference to the minimum weight of the trash can placed at the trash station.
Specifically, the control terminal is provided with display information stored in each trash bin, the display information comprises position information, identification information of each trash bin and relevant state information of each trash bin. Furthermore, the control terminal is also stored with sanitation personnel information and corresponding administrator information of each responsible garbage station. At first, the relevant state of this garbage bin is the state when initial placement garbage bin in the garbage bin position, and this state carries out corresponding state update along with the update of this management and control terminal. Specifically, the management and control terminal can display the display interface of the display information after the management user logs in, so that the management user can directly and clearly know the state of each trash can of each current trash station, and the trash can needing to be maintained can be maintained.
Further, the management and control terminal updates when the garbage bin state of the garbage bin placement position is a non-bin state, corresponding protruding marks can be carried out in the display information, and therefore the display interface can highlight identification information of the garbage bin in the non-bin state. The highlighting mode can be highlighting with a brighter color, or directly pushing the identification information of the garbage bin in the no-bin state on a display interface, and the like.
According to the embodiment of the invention, the weighing sensor is used for collecting the weight information of the garbage can, and the control terminal is used for analyzing and processing the collected information, so that the situation that the garbage station has no garbage can be automatically monitored, recorded and updated, the garbage station control efficiency is improved, and the labor cost is reduced.
In one implementation, the method further comprises:
if the weight is not lower than the first threshold value and lower than a second threshold value, the control terminal updates the garbage can state of the garbage can placing position to be a keg placing state.
In another implementation manner, if the weight is not lower than the second threshold and lower than a third threshold, the management and control terminal updates the trash can state of the trash can placement position to a large can placement state.
The second threshold value may be set with reference to the weight that can be measured by the load cell when the keg is placed, and correspondingly, the third threshold value may be set with reference to the weight that can be measured by the load cell when the keg is placed.
The weight according to the judgment of the large barrel and the small barrel is the weight obtained from the weighing sensor when the garbage can state is updated from the non-barrel state to the barrel state.
According to the embodiment of the invention, the weight information detected by the weighing sensor can be used for further judging whether the current garbage can is a small garbage can or a large garbage can, so that the automatic detection of the type of the garbage can is realized, and a management and control worker in a garbage station can know whether the type of the garbage can which is wrongly placed is wrong or not in time.
In one implementation, the method further comprises:
if the weight is within the standard threshold range, the control terminal receives an image of the placement position of the garbage can, which is acquired by a camera;
when the control terminal identifies the trash can according to the image of the trash can placing position, the control terminal updates the trash can state of the trash can placing position to be a can state.
This embodiment of the invention provides a preferred implementation of bucket state detection. Wherein, the standard threshold value range is set according to the weight range which can be measured by the weighing sensor when the barrel is in the state. According to the embodiment of the invention, the situation that the barrel is possibly generated is judged when the weight is within the standard threshold range, and whether the situation is the barrel is further determined according to the image acquired by the camera, so that on one hand, the problem of judgment error caused by the fact that people put articles wrongly or maliciously at the position where the garbage barrel is placed when the barrel state is judged by only using the weight can be solved, on the other hand, the problem of analysis cost improvement caused by the fact that barrel supervision is carried out by only using the camera is avoided, and the accuracy of barrel state analysis can be improved on the premise of keeping lower analysis cost.
In one implementation, the method further comprises:
the control terminal extracts trash can type information and placement position information from the image of the trash can placement position, and judges whether the type of the trash can corresponds to the placement position or not according to the extracted information;
if the type of the garbage can does not correspond to the placed position, the control terminal updates the garbage can state of the garbage can placed position to be a misplaced garbage can state.
Specifically, the type parameter of the trash can be the type of the trash can, such as a big can and a small can, and can also be the type of the trash stored in the trash can, such as a kitchen garbage can, other trash cans, and the like. The control terminal determines the type and the placement position information of the trash can by extracting trash can features of the image, wherein the trash can features can include identification information of the trash can, so that the control terminal can acquire the placement position information according to the identification information. The control terminal can also determine the placement position information by extracting environmental characteristics of the image, wherein the environmental characteristics comprise identification information of the placement position of the trash can. The identification information can be presented in a two-dimensional code form, a number mark form and/or a character mark form.
Specifically, be equipped with the garbage bin type list that the position corresponds is placed to the garbage bin in the database of management and control platform, the management and control platform can carry out matching analysis to the garbage bin type information of drawing and place the position information according to this garbage bin type list to whether the type of confirming the garbage bin corresponds with the position of placing.
The embodiment of the invention can intelligently and conveniently judge whether the type of the placed garbage can is wrong or not, thereby further reminding garbage station management and control personnel or corresponding sanitation personnel.
In one implementation, the method further comprises:
if the weight is lower than a fourth threshold value, the control terminal updates the garbage bin state of the garbage bin placing position to be an empty bin state.
Wherein the fourth threshold value may be set with reference to a weight that can be measured by the load cell in an empty bucket state. The embodiment of the invention realizes automatic detection of the empty barrel.
In one implementation, the method further comprises:
if the weight is not lower than a fifth threshold value, the control terminal receives a garbage can image collected by a camera;
when the control terminal identifies the garbage in the garbage can top area according to the garbage can image, the control terminal updates the garbage can state of the garbage can placing position to be a full can state.
Wherein the fifth threshold value may be set with reference to a weight that can be measured by the load cell in the full bucket state. The embodiment of the invention realizes the automatic detection of full barrels.
For the garbage can without the can cover, the top area of the garbage can is the area at the can opening of the garbage can, and when the garbage can with the can cover or the garbage can is placed in an iron sheet sleeve, the top area of the garbage can is the area between the can cover and the can body of the garbage can or the area between an iron sheet sleeve body and a baffle plate for blocking the can opening of the garbage can.
In another implementation manner, if the weight is not lower than a fifth threshold, and the control terminal receives a signal sent by a sensor located at a trash can opening and used for detecting trash, the control terminal updates that the trash can state of the trash can placement position is a full can state.
According to the embodiment of the invention, whether the garbage is on the top or not is further detected by the sensor positioned at the opening of the garbage can, so that the method is simple and convenient.
In one implementation, the method further comprises:
if the weight variation of the two adjacent garbage cans exceeds the standard variation threshold, the control terminal updates the garbage can state of the garbage can placement position to be an abnormal state.
Specifically, the standard variation threshold may be set with reference to a reasonable garbage weight of the resident at the time of garbage putting.
In one implementation, the method further comprises:
when the garbage can is in an abnormal state, the control terminal receives images of the periphery of the garbage can collected by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight change of the two adjacent garbage cans is a descending trend, the control terminal updates the garbage can state of the garbage can placing position of the garbage can to be a manual garbage picking state.
In one implementation, the method further comprises:
when the garbage can is in a manual garbage picking state, the control terminal records the unchanged weight of the garbage can and the image characteristics of the human body;
the control terminal analyzes the weight information acquired by a subsequent weighing sensor, acquires a current garbage can peripheral image acquired by a camera if the weight of the garbage can is the same as the unchanged weight, and updates the manual garbage picking state to a compacted garbage state when recognizing that the image features of a human body are matched with the recorded image features of the human body according to the current garbage can peripheral image.
In the process of actually throwing the garbage, sanitation personnel can carry out secondary sorting and compaction on the garbage thrown by the garbage throwing personnel, the data of the weighing sensor can fluctuate greatly in the compaction process, the volume is reduced after the compaction, and the original weight can be recovered after the action is finished, so that the weight cannot be reduced. In view of the situation, the embodiment further analyzes the weight of the trash can determined as the artificial trash picking state, and when it is detected that the weight of the subsequent trash can is the same as the weight of the trash can when the trash can is not lowered, whether the trash is compacted by an environmental sanitation worker is further determined according to whether the currently identified worker is a previous worker, so that the artificial trash picking state determined before the update of the determination result is the compacted trash state.
In one implementation, the method further comprises:
when the garbage can is in an abnormal state, the control terminal receives images of the periphery of the garbage can collected by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight change of the two adjacent garbage cans is an ascending trend, the control terminal updates the garbage can state of the garbage can placing position of the garbage can to be an artificial malicious garbage throwing state.
The descending trend refers to that the weight of the garbage can detected by the previous weighing sensor is larger than that of the garbage can detected by the next weighing sensor. The ascending trend refers to that the weight of the garbage can detected by the previous weighing sensor is smaller than that of the garbage can detected by the next weighing sensor.
According to the embodiment of the invention, the camera is combined with the weighing sensor, so that whether the garbage bin is abnormal or not is detected, the reason (picking up garbage or maliciously throwing in) of the weight change of the garbage bin can be identified, and the problem of poor effect of monitoring the condition of the garbage bin only by adopting the camera is solved.
In one implementation, the method further comprises:
and the management and control terminal sends the updated garbage can state information to the user terminal corresponding to the garbage can placement position.
Specifically, the user terminal corresponding to the trash can placement position refers to a user terminal used by a sanitation worker or a manager who is responsible for the trash can at the trash can placement position. This embodiment through with the garbage bin state information send of update to with the user terminal that the position corresponds is placed to the garbage bin, can in time remind the condition of the garbage bin that corresponding sanitation personnel or managers are responsible for at present to be convenient for sanitation personnel or managers in time take corresponding garbage bin maintenance measure.
Fig. 2 is a schematic structural diagram of an embodiment of an intelligent garbage station management and control system according to the present invention, which can implement all processes of the intelligent garbage station management and control method according to any of the above embodiments.
As shown in fig. 2, the system includes:
the first receiving module 1 is used for receiving weight information collected by a weighing sensor positioned at the placement position of the garbage can;
and the first updating module 2 is used for updating the garbage bin state of the garbage bin placement position to be a non-bin state when the weight is lower than a first threshold value.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the second updating module is used for updating the garbage can state of the garbage can placing position to be a keg placing state when the weight is not lower than the first threshold and is lower than a second threshold.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the third updating module is used for updating the garbage can state of the garbage can placing position to be the large can placing state when the weight is not lower than the second threshold and lower than a third threshold.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the second receiving module is used for receiving the image of the placement position of the garbage can collected by the camera when the weight is within the standard threshold range;
the first image analysis module is used for carrying out trash can identification on the image at the trash can placing position;
and the fourth updating module is used for updating the garbage can state of the garbage can placing position to be a can state when the first image analysis module identifies the garbage can.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the second image analysis module is used for extracting garbage can type information and placement position information from the image at the garbage can placement position, and judging whether the type of the garbage can corresponds to the placement position or not according to the extracted information;
and the fifth updating module is used for updating the garbage can state of the garbage can placing position to be the misplaced garbage can state when the type of the garbage can does not correspond to the placing position.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the sixth updating module is used for updating the garbage can state of the garbage can placing position to be an empty can state when the weight is lower than a fourth threshold value.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the third receiving module is used for receiving the garbage can image acquired by the camera when the weight is not lower than a fifth threshold value;
the third image analysis module is used for identifying the garbage on the top of the garbage can according to the garbage can image;
and the seventh updating module is used for updating the garbage bin state of the garbage bin placement position to be a full bin state when the garbage bin image identifies the garbage in the garbage bin top area.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the eighth updating module is used for updating the garbage can state of the garbage can placement position to be an abnormal state when the weight variation of the garbage cans at two adjacent times exceeds the standard variation threshold value.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the fourth receiving module is used for receiving the images of the periphery of the garbage can collected by the camera when the state of the garbage can is abnormal;
the fourth image analysis module is used for carrying out human body recognition according to the peripheral image of the garbage can;
and the ninth updating module is used for updating the garbage can state of the garbage can placing position to be a manual garbage picking state when the fourth image analysis module identifies a human body and the weight change of the garbage cans in two adjacent times is a descending trend.
In one implementation, the system further comprises:
the recording module is used for recording the unchanged weight of the garbage bin and the image characteristics of the human body when the garbage bin is in the man-made garbage picking state;
the judging module is used for analyzing the weight information acquired by the subsequent weighing sensor, and sending an instruction to the acquiring module if the weight of the garbage can is the same as the unchanged weight;
the acquisition module is used for acquiring the current garbage can periphery image acquired by the camera according to the instruction;
and the state confirmation module is used for updating the manual garbage picking state into a compacted garbage state when the image characteristics of the human body are identified to be matched with the recorded image characteristics of the human body according to the current garbage can peripheral image.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
the fifth receiving module is used for receiving the peripheral image of the garbage can collected by the camera when the state of the garbage can is abnormal;
the fifth image analysis module is used for carrying out human body recognition according to the peripheral image of the garbage can;
and the tenth updating module is used for updating the garbage can state of the garbage can placing position to be an artificial malicious garbage throwing state when the fifth image analysis module identifies that the weight of the human body changes to be an ascending trend.
According to an implementable manner of the embodiment of the second aspect of the present invention, the system further comprises:
and the sending module is used for sending the updated garbage can state information to the user terminal corresponding to the garbage can placement position.
The functions and implementation manners of the modules in the above embodiment of the system of the present invention are the same as those in the above embodiment of the intelligent garbage station management and control method, and specific analysis may refer to the above embodiment of the intelligent garbage station management and control method, and are not described herein again to avoid repetition.
The invention also provides an intelligent garbage station management and control device, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to realize the intelligent garbage station management and control method according to any one of the above embodiments.
The invention also provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program is executed, the computer program implements the intelligent garbage station management and control method according to any one of the above embodiments.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. The general processor can be a microprocessor or the processor can be any conventional processor and the like, the processor is a control center of the intelligent garbage station management and control device, and various interfaces and lines are used for connecting all parts of the whole intelligent garbage station management and control device.
The memory may be used for storing the computer programs and/or modules, and the processor may implement various functions of the intelligent garbage station management and control apparatus by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The module/unit integrated by the intelligent garbage station management and control device can be stored in a computer readable storage medium if the module/unit is implemented in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
The foregoing is a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations are also regarded as the protection scope of the present application.
Claims (26)
1. The intelligent garbage station control method is characterized by comprising the following steps:
the control terminal receives weight information collected by a weighing sensor located at the garbage can placing position;
if the weight is lower than a first threshold value, the control terminal updates the garbage bin state of the garbage bin placing position to be a bin-free state.
2. The intelligent garbage station management and control method according to claim 1, further comprising:
if the weight is not lower than the first threshold value and lower than a second threshold value, the control terminal updates the garbage can state of the garbage can placing position to be a keg placing state.
3. The intelligent garbage station management and control method according to claim 2, wherein if the weight is not lower than the second threshold and lower than a third threshold, the management and control terminal updates the garbage can state of the garbage can placement position to a large can placement state.
4. The intelligent garbage station management and control method according to claim 1, further comprising:
if the weight is within the standard threshold range, the control terminal receives an image of the placement position of the garbage can, which is acquired by a camera;
when the control terminal identifies the trash can according to the image of the trash can placing position, the control terminal updates the trash can state of the trash can placing position to be a can state.
5. The intelligent garbage station management and control method according to claim 4, further comprising:
the control terminal extracts trash can type information and placement position information from the image of the trash can placement position, and judges whether the type of the trash can corresponds to the placement position or not according to the extracted information;
if the type of the garbage can does not correspond to the placed position, the control terminal updates the garbage can state of the garbage can placed position to be a misplaced garbage can state.
6. The intelligent garbage station management and control method according to claim 4, further comprising:
if the weight is lower than a fourth threshold value, the control terminal updates the garbage bin state of the garbage bin placing position to be an empty bin state.
7. The intelligent garbage station management and control method according to claim 4, further comprising:
if the weight is not lower than a fifth threshold value, the control terminal receives a garbage can image collected by a camera;
when the control terminal identifies the garbage in the garbage can top area according to the garbage can image, the control terminal updates the garbage can state of the garbage can placing position to be a full can state.
8. The intelligent garbage station management and control method according to claim 4, further comprising:
if the weight variation of the two adjacent garbage cans exceeds the standard variation threshold, the control terminal updates the garbage can state of the garbage can placement position to be an abnormal state.
9. The intelligent garbage station management and control method according to claim 8, further comprising:
when the garbage can is in an abnormal state, the control terminal receives images of the periphery of the garbage can collected by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight change of the two adjacent garbage cans is a descending trend, the control terminal updates the garbage can state of the garbage can placing position of the garbage can to be a manual garbage picking state.
10. The intelligent garbage station management and control method according to claim 9, further comprising:
when the garbage can is in a manual garbage picking state, the control terminal records the unchanged weight of the garbage can and the image characteristics of the human body;
the control terminal analyzes the weight information acquired by a subsequent weighing sensor, acquires a current garbage can peripheral image acquired by a camera if the weight of the garbage can is the same as the unchanged weight, and updates the manual garbage picking state to a compacted garbage state when recognizing that the image features of a human body are matched with the recorded image features of the human body according to the current garbage can peripheral image.
11. The intelligent garbage station management and control method according to claim 8, further comprising:
when the garbage can is in an abnormal state, the control terminal receives images of the periphery of the garbage can collected by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight change of the two adjacent garbage cans is an ascending trend, the control terminal updates the garbage can state of the garbage can placing position of the garbage can to be an artificial malicious garbage throwing state.
12. The intelligent garbage station management and control method according to any one of claims 1-11, further comprising:
and the management and control terminal sends the updated garbage can state information to the user terminal corresponding to the garbage can placement position.
13. Intelligence rubbish station management and control system, its characterized in that includes:
the first receiving module is used for receiving weight information acquired by a weighing sensor positioned at the placement position of the garbage can;
the first updating module is used for updating the garbage can state of the garbage can placing position to be a can-free state when the weight is lower than a first threshold value.
14. The intelligent garbage station management and control system according to claim 13, further comprising:
and the second updating module is used for updating the garbage can state of the garbage can placing position to be a keg placing state when the weight is not lower than the first threshold and is lower than a second threshold.
15. The intelligent garbage station management and control system according to claim 14, further comprising:
and the third updating module is used for updating the garbage can state of the garbage can placing position to be the large can placing state when the weight is not lower than the second threshold and lower than a third threshold.
16. The intelligent garbage station management and control system according to claim 13, further comprising:
the second receiving module is used for receiving the image of the placement position of the garbage can collected by the camera when the weight is within the standard threshold range;
the first image analysis module is used for carrying out trash can identification on the image at the trash can placing position;
and the fourth updating module is used for updating the garbage can state of the garbage can placing position to be a can state when the first image analysis module identifies the garbage can.
17. The intelligent garbage station management and control system according to claim 16, further comprising:
the second image analysis module is used for extracting garbage can type information and placement position information from the image at the garbage can placement position, and judging whether the type of the garbage can corresponds to the placement position or not according to the extracted information;
and the fifth updating module is used for updating the garbage can state of the garbage can placing position to be the misplaced garbage can state when the type of the garbage can does not correspond to the placing position.
18. The intelligent garbage station management and control system according to claim 16, further comprising:
and the sixth updating module is used for updating the garbage can state of the garbage can placing position to be an empty can state when the weight is lower than a fourth threshold value.
19. The intelligent garbage station management and control system according to claim 16, further comprising:
the third receiving module is used for receiving the garbage can image acquired by the camera when the weight is not lower than a fifth threshold value;
the third image analysis module is used for identifying the garbage on the top of the garbage can according to the garbage can image;
and the seventh updating module is used for updating the garbage bin state of the garbage bin placement position to be a full bin state when the garbage bin image identifies the garbage in the garbage bin top area.
20. The intelligent garbage station management and control system according to claim 16, further comprising:
and the eighth updating module is used for updating the garbage can state of the garbage can placement position to be an abnormal state when the weight variation of the garbage cans at two adjacent times exceeds the standard variation threshold value.
21. The intelligent garbage station management and control system according to claim 20, further comprising:
the fourth receiving module is used for receiving the images of the periphery of the garbage can collected by the camera when the state of the garbage can is abnormal;
the fourth image analysis module is used for carrying out human body recognition according to the peripheral image of the garbage can;
and the ninth updating module is used for updating the garbage can state of the garbage can placing position to be a manual garbage picking state when the fourth image analysis module identifies a human body and the weight change of the garbage cans in two adjacent times is a descending trend.
22. The intelligent garbage station management and control system according to claim 21, further comprising:
the recording module is used for recording the unchanged weight of the garbage bin and the image characteristics of the human body when the garbage bin is in the man-made garbage picking state;
the judging module is used for analyzing the weight information acquired by the subsequent weighing sensor, and sending an instruction to the acquiring module if the weight of the garbage can is the same as the unchanged weight;
the acquisition module is used for acquiring the current garbage can periphery image acquired by the camera according to the instruction;
and the state confirmation module is used for updating the manual garbage picking state into a compacted garbage state when the image characteristics of the human body are identified to be matched with the recorded image characteristics of the human body according to the current garbage can peripheral image.
23. The intelligent garbage station management and control system according to claim 21, further comprising:
the fifth receiving module is used for receiving the peripheral image of the garbage can collected by the camera when the state of the garbage can is abnormal;
the fifth image analysis module is used for carrying out human body recognition according to the peripheral image of the garbage can;
and the tenth updating module is used for updating the garbage can state of the garbage can placing position to be an artificial malicious garbage throwing state when the fifth image analysis module identifies that the weight of the human body changes to be an ascending trend.
24. The intelligent garbage station management and control system according to any one of claims 12-23, further comprising:
and the sending module is used for sending the updated garbage can state information to the user terminal corresponding to the garbage can placement position.
25. An intelligent garbage station management and control apparatus, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the intelligent garbage station management and control method according to any one of claims 1 to 11 when executing the computer program.
26. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when executed, the computer program implements the intelligent trash station managing method according to any one of claims 1 to 11.
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