CN113222082B - Intelligent garbage station management and control method, system, device and storage medium - Google Patents
Intelligent garbage station management and control method, system, 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, system, device and storage medium, wherein the method comprises the steps that a management and control terminal receives weight information acquired by a weighing sensor positioned at a garbage can placement position; and 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, system, device and storage medium provided by the invention can realize automatic monitoring and updating of the garbage station without a 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 at current rubbish station is cleared up by sanitation personnel, and sanitation personnel can forget to put back the garbage bin at the in-process of clearance, causes the influence to the user's input rubbish.
In order to avoid the phenomenon, a mode of manual inspection and corresponding updating is generally adopted, and the manual control mode is low in efficiency and high in labor cost.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, a system, a device, and a storage medium for controlling an intelligent garbage station, which can automatically monitor and update a situation that the garbage station has no garbage can.
In order to achieve the above purpose, the invention adopts the following technical scheme:
an embodiment of a first aspect of the present invention provides a method for controlling an intelligent garbage station, the method including:
the control terminal receives weight information acquired by a weighing sensor positioned at the placement position of the garbage can;
and 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 one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
and if the weight is not lower than the first threshold value and lower than the second threshold value, the control terminal updates the garbage bin state of the garbage bin placing position into a small bin placing state.
According to one implementation manner of the embodiment of the first aspect of the present invention, if the weight is not lower than the second threshold value and is lower than a third threshold value, the control terminal updates the garbage can state of the garbage can placement position to a large can placement state.
According to one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
if the weight is in the standard threshold range, the control terminal receives an image of the placement position of the garbage can, which is acquired by the camera;
when the control terminal identifies the garbage can according to the image of the garbage can placing position, the control terminal updates the garbage can state of the garbage can placing position into a can state.
According to one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
the control terminal extracts garbage bin type information and placement position information from the images of the placement positions of the garbage bin, and judges whether the type of the garbage bin corresponds to the placement positions 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 one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
and 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 one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
if the weight is not lower than a fifth threshold, the control terminal receives the garbage can image acquired by the camera;
when the control terminal identifies garbage in the top area of the garbage can according to the garbage can image, the control terminal updates the garbage can state of the garbage can placing position into a full can state.
According to one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
and if the weight change quantity of the adjacent two garbage cans exceeds the standard change quantity threshold value, the control terminal updates the garbage can state of the garbage can placing position to be an abnormal state.
According to one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
when the state of the garbage can is abnormal, the control terminal receives images around the garbage can, which are acquired 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 garbage can is in a descending trend, the control terminal updates the garbage can state of the garbage can placement position to be a manual garbage collection state.
According to one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
when the garbage can is in a manual garbage collection state, the control terminal records the unchanged weight of the garbage can and the image characteristics of the human body;
the control terminal analyzes weight information acquired by a follow-up weighing sensor, if the weight of the garbage can is the same as the weight of the garbage can when the garbage can is unchanged, the control terminal acquires a current garbage can peripheral image acquired by a camera, and when the control terminal recognizes that the image characteristics of a human body are matched with the recorded image characteristics of the human body according to the current garbage can peripheral image, the control terminal updates the human garbage picking state to be a compaction garbage state.
According to one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
when the state of the garbage can is abnormal, the control terminal receives images around the garbage can, which are acquired by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight of the garbage can changes into an ascending trend in two adjacent times, the control terminal updates the garbage can state of the garbage can placing position into a human malicious garbage throwing state.
According to one implementation manner of the embodiment of the first aspect of the present invention, the method further includes:
and the control terminal sends the updated garbage bin state information to the user terminal corresponding to the garbage bin 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 the weighing sensor positioned at the garbage can placement position;
and the first updating module is used for updating the garbage bin state of the garbage bin placing position to be a bin-free state when the weight is lower than a first threshold value.
According to one manner of implementation 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 bin state of the garbage bin placing position into a small bin placing state when the weight is not lower than the first threshold value and is lower than a second threshold value.
According to one manner of implementation 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 bin state of the garbage bin placing position into a large bin placing state when the weight is not lower than the second threshold value and is lower than a third threshold value.
According to one manner of implementation of the embodiment of the second aspect of the present invention, the system further comprises:
the second receiving module is used for receiving images of the garbage can placement positions acquired by the cameras when the weight is within a standard threshold range;
the first image analysis module is used for carrying out garbage can identification on the images at the garbage can placement positions;
and the fourth updating module is used for updating the garbage bin state of the garbage bin placing position into a bin state when the first image analysis module identifies the garbage bin.
According to one manner of implementation 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 bin type information and placement position information from the images at the placement positions of the garbage bin, and judging whether the type of the garbage bin corresponds to the placement position or not according to the extracted information;
and the fifth updating module is used for updating the garbage bin state of the garbage bin placement position into a misplaced garbage bin state when the type of the garbage bin does not correspond to the placed position.
According to one manner of implementation of the embodiment of the second aspect of the present invention, the system further comprises:
And a sixth updating module, configured to update the garbage can state of the garbage can placement position to an empty can state when the weight is lower than a fourth threshold.
According to one manner of implementation 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;
the third image analysis module is used for identifying garbage at the top of the garbage can according to the garbage can image;
and a seventh updating module, configured to update a garbage bin state of the garbage bin placement position to a full bin state when the garbage bin image identifies garbage in the garbage bin top area.
According to one manner of implementation 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 bin state of the garbage bin placement position to be an abnormal state when the weight change quantity of the garbage bin at two adjacent times exceeds the standard change quantity threshold value.
According to one manner of implementation 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 around the garbage can, which are acquired by the camera, when the state of the garbage can is abnormal;
The fourth image analysis module is used for identifying the human body according to the images around the garbage can;
and the ninth updating module is used for updating the garbage bin state of the garbage bin placement position into a manual garbage collection state when the fourth image analysis module identifies a human body and the weight change of the garbage bin at two adjacent times is a descending trend.
According to one manner of implementation 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 can and the image characteristics of the human body when the garbage can is in a manual garbage collection state;
the judging module is used for analyzing weight information acquired by a subsequent weighing sensor, and sending an instruction to the acquiring module if the weight of the garbage can is the same as the weight when the garbage can is unchanged;
the acquisition module is used for acquiring the current garbage can peripheral image acquired by the camera according to the instruction;
and the state confirmation module is used for updating the human garbage collection state into a compacted garbage state when the image characteristics of the human body are recognized to be matched with the recorded image characteristics of the human body according to the current garbage can peripheral image.
According to one manner of implementation of the embodiment of the second aspect of the present invention, the system further comprises:
The fifth receiving module is used for receiving the images around the garbage can, which are acquired by the camera, when the state of the garbage can is abnormal;
the fifth image analysis module is used for identifying the human body according to the images around the garbage can;
and the tenth updating module is used for updating the garbage bin state of the garbage bin placing position into a human malicious garbage throwing state when the fifth image analysis module identifies a human body and the weight of the garbage bin is changed into an ascending trend in two adjacent times.
According to one manner of implementation 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 bin state information to the user terminal corresponding to the garbage bin placement position.
An embodiment of a third aspect of the present invention provides an intelligent garbage station controlling apparatus, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the computer program to implement the intelligent garbage station controlling method according to any one of the embodiments above.
An embodiment of a fourth aspect of the present invention provides a computer readable storage medium, where a computer program is stored, where the computer program is executed to implement the intelligent garbage station management method according to any one of the embodiments above.
According to the embodiment of the invention, the weight information of the garbage can is acquired through the weighing sensor, and the acquired information is analyzed and processed by the management and control terminal, so that the condition that the garbage can is not arranged in the garbage can be automatically monitored and updated, the management and control efficiency of the garbage can is improved, and the labor cost is reduced.
Drawings
FIG. 1 is a schematic flow chart of a preferred embodiment of the intelligent garbage station control method provided by the invention;
fig. 2 is a schematic structural diagram of a preferred embodiment of the intelligent garbage station management and control system provided by the invention.
Reference numerals:
a first receiving module 1 and a first updating module 2.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In the description of the present invention, it should be understood that the numbers themselves, such as "first," "second," etc., herein are used merely to distinguish between the described objects, and do not have technical meaning, and are not to be construed as defining or implying importance of the described objects.
Fig. 1 is a schematic flow chart of a preferred embodiment of the intelligent garbage station management and control method provided by the invention.
As shown in fig. 1, the method includes:
s1, the control terminal receives weight information acquired by a weighing sensor positioned at the placement position of the garbage can.
Specifically, the management and control terminal may be a remote server, a management platform, a service center, or a management platform. The load cell may be any sensor capable of detecting the weight of the trash can. At present, because different kinds of garbage or a plurality of garbage can are to be collected in each garbage station, a plurality of garbage can placement positions are preset in order to facilitate management and control of the garbage can, and then the garbage can is placed in each garbage can placement position. The garbage can placement position refers to a position in a garbage station where the garbage can is set to be placed, and the specific position of the weighing sensor is not limited, so long as the weight of the garbage can be detected after the garbage can is placed at the garbage can placement position. As a preferred embodiment, the load cell is disposed at the center of the floor where the trash can is placed.
And S2, if the weight is lower than a first threshold value, the control terminal updates the garbage bin state of the garbage bin placing position into a bin-free state. Wherein the first threshold may be set with reference to a minimum weight of a trash can placed at the trash station.
Specifically, the management and control terminal stores display information set by each dustbin in each dustbin station, wherein the display information comprises position information, identification information of each dustbin station, identification information of each dustbin and relevant state information of each dustbin. Furthermore, the management and control terminal also stores sanitation personnel information and corresponding management personnel information of each responsible garbage station. Initially, the relevant state of the trash can is a state when the trash can is initially placed in the trash can placement position, and the state is updated correspondingly with the update of the 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 garbage can of each garbage station at present, and the garbage can which needs to be maintained can be maintained.
Further, when the garbage can state of the garbage can placement position is updated to be a can-free state by the management and control terminal, corresponding protruding marks can be carried out in the display information, so that the display interface can highlight the identification information of the garbage can in the can-free state. The highlighting mark can be highlighted by using a lighter color, or the identification information of the garbage can in the can-free state can be pushed directly on the display interface, or the like.
According to the embodiment of the invention, the weight information of the garbage can is acquired through the weighing sensor, and the management and control terminal analyzes and processes the acquired information, so that the condition that the garbage can is not arranged in the garbage can be automatically monitored, recorded and updated, the management and control efficiency of the garbage can is improved, and the labor cost is reduced.
In one implementation, the method further comprises:
and if the weight is not lower than the first threshold value and lower than the second threshold value, the control terminal updates the garbage bin state of the garbage bin placing position into a small bin placing state.
In another implementation manner, if the weight is not lower than the second threshold and is lower than a third threshold, the control terminal updates the garbage can state of the garbage can placement position to a large can placement state.
The second threshold may be set with reference to the weight of the keg being placed and the load cell being able to measure, and the third threshold may be set with reference to the weight of the keg being placed and the load cell being able to measure.
The weight based on the judgment of the big barrel and the small barrel is the weight obtained from the weighing sensor when the garbage can state is updated from the non-can state to the can state.
According to the embodiment of the invention, the small-sized garbage can or the large-sized garbage can at the existing garbage can placement position can be further judged through the weight information detected by the weighing sensor, and automatic detection of the type of the garbage can is realized, so that management and control personnel of a garbage station can know whether the type of the garbage can is misplaced or not in time.
In one implementation, the method further comprises:
if the weight is in the standard threshold range, the control terminal receives an image of the placement position of the garbage can, which is acquired by the camera;
when the control terminal identifies the garbage can according to the image of the garbage can placing position, the control terminal updates the garbage can state of the garbage can placing position into a can state.
This embodiment of the invention provides a preferred implementation of the barreled state detection. Wherein, the setting of the standard threshold range is set according to the weight range which can be measured by the weighing sensor when the barrel is in a state. According to the embodiment of the invention, when the weight is in the standard threshold range, the possibility of a barrel is judged, and whether the barrel exists or not is further determined according to the image acquired by the camera, so that the problem of wrong judgment caused by the fact that a person misplaces or maliciously puts articles in the place where the garbage can is placed can be solved when the barrel exists is judged simply by the weight, and the problem of high analysis cost caused by simply using the camera to carry out barrel supervision is avoided, and the accuracy of analysis of the barrel exists can be improved on the premise of keeping lower analysis cost.
In one manner that can be implemented, the method further comprises:
the control terminal extracts garbage bin type information and placement position information from the images of the placement positions of the garbage bin, and judges whether the type of the garbage bin corresponds to the placement positions 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 garbage can be the type of the garbage can, such as a big can and a small can, and can also be the type of garbage stored in the garbage can, such as kitchen garbage cans, other garbage cans and the like. The management and control terminal determines the type and the placement position information of the garbage can by extracting the garbage can characteristics of the image, wherein the garbage can characteristics can comprise the identification information of the garbage can, and accordingly the management and control terminal can acquire the placement position information according to the identification information. The control terminal can also determine the placement location information by extracting environmental features of the image, wherein the environmental features include identification information of the trash can placement location. The identification information can be presented in a two-dimensional code form, a number mark form and/or a text mark form.
Specifically, a garbage bin type list corresponding to the garbage bin placement position is arranged in a database of the management and control platform, and the management and control platform can carry out matching analysis on the extracted garbage bin type information and the placement position information according to the garbage bin type list, so that whether the type of the garbage bin corresponds to the placement position or not is determined.
The embodiment of the invention can intelligently and conveniently judge whether the type of the placed garbage can is wrong, thereby being capable of further reminding management and control personnel of the garbage station or corresponding sanitation personnel.
In one implementation, the method further comprises:
and 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 the weight that the load cell is able to measure in the empty tub state. The embodiment of the invention realizes the automatic detection of the empty barrel.
In one implementation, the method further comprises:
if the weight is not lower than a fifth threshold, the control terminal receives the garbage can image acquired by the camera;
when the control terminal identifies garbage in the top area of the garbage can according to the garbage can image, the control terminal updates the garbage can state of the garbage can placing position into a full can state.
Wherein the fifth threshold may be set with reference to the weight that the load cell is able to measure at the time of the full tub state. The embodiment of the invention realizes automatic detection of full barrels.
Wherein, for the garbage bin without the bin cover, the top area of the garbage bin is the bin opening area of the garbage bin, and when the garbage bin with the bin cover or the garbage bin is placed in an iron sheet envelope, the top area of the dustbin is an area between the dustbin cover and the dustbin body or an area between the iron sheet sleeve body and a baffle for blocking the dustbin opening.
In another implementation manner, if the weight is not lower than the fifth threshold, and the control terminal receives a signal sent by a sensor for detecting garbage at a bin opening of the garbage bin, the control terminal updates the garbage bin state of the garbage bin placement position to a full bin state.
According to the embodiment of the invention, whether garbage exists at the top is further detected through the sensor positioned at the bin opening of the garbage bin, and the mode is simple and convenient.
In one implementation, the method further comprises:
and if the weight change quantity of the adjacent two garbage cans exceeds the standard change quantity threshold value, the control terminal updates the garbage can state of the garbage can placing 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 placement.
In one implementation, the method further comprises:
when the state of the garbage can is abnormal, the control terminal receives images around the garbage can, which are acquired 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 garbage can is in a descending trend, the control terminal updates the garbage can state of the garbage can placement position to be a manual garbage collection state.
In one implementation, the method further comprises:
when the garbage can is in a manual garbage collection state, the control terminal records the unchanged weight of the garbage can and the image characteristics of the human body;
the control terminal analyzes weight information acquired by a follow-up weighing sensor, if the weight of the garbage can is the same as the weight of the garbage can when the garbage can is unchanged, the control terminal acquires a current garbage can peripheral image acquired by a camera, and when the control terminal recognizes that the image characteristics of a human body are matched with the recorded image characteristics of the human body according to the current garbage can peripheral image, the control terminal updates the human garbage picking state to be a compaction garbage state.
In the actual garbage throwing process, sanitation staff can carry out secondary sorting and compaction on garbage thrown by garbage throwing staff, the data of the weighing sensor can fluctuate greatly in the compacting process, however, the volume is reduced after compaction, the weight can be restored to the original weight after the action is finished, and the weight cannot be reduced. In view of this situation, the present embodiment further analyzes the weight of the trash can after the manual trash pick-up state is determined, and when it is detected that the weight of the trash can after the subsequent trash can is the same as the weight of the trash can when it is not lowered, further determines whether the sanitation worker is compacting the trash according to whether the currently identified person is the previous person, so that the manual trash pick-up state determined before is updated according to the determination result to be the compacted trash state.
In one implementation, the method further comprises:
when the state of the garbage can is abnormal, the control terminal receives images around the garbage can, which are acquired by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight of the garbage can changes into an ascending trend in two adjacent times, the control terminal updates the garbage can state of the garbage can placing position into a human 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 means 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 can is abnormal or not is detected, the reason (garbage picking or malicious throwing) when the weight of the garbage can is changed can be identified, and the problem that the effect is poor when the garbage can is monitored by only adopting the camera is solved.
In one implementation, the method further comprises:
and the control terminal sends the updated garbage bin state information to the user terminal corresponding to the garbage bin placement position.
Specifically, the user terminal corresponding to the garbage can placement position refers to a user terminal used by sanitation personnel or management personnel responsible for the garbage can on the garbage can placement position. According to the method, the user terminal corresponding to the garbage can placement position can be sent to updated garbage can state information, so that corresponding sanitation workers or management workers can be timely reminded of the situation of the garbage can currently responsible, and accordingly the sanitation workers or management workers can take corresponding garbage can maintenance measures in time.
Fig. 2 is a schematic structural diagram of a preferred embodiment of the intelligent garbage station management and control system provided by the invention, where the system can implement all the flows 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 acquired by a weighing sensor positioned at the garbage can placement position;
a first updating module 2, configured to update the garbage can state of the garbage can placement position to a no-can state when the weight is lower than a first threshold.
According to one manner of implementation 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 bin state of the garbage bin placing position into a small bin placing state when the weight is not lower than the first threshold value and is lower than a second threshold value.
According to one manner of implementation 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 bin state of the garbage bin placing position into a large bin placing state when the weight is not lower than the second threshold value and is lower than a third threshold value.
According to one manner of implementation of the embodiment of the second aspect of the present invention, the system further comprises:
The second receiving module is used for receiving images of the garbage can placement positions acquired by the cameras when the weight is within a standard threshold range;
the first image analysis module is used for carrying out garbage can identification on the images at the garbage can placement positions;
and the fourth updating module is used for updating the garbage bin state of the garbage bin placing position into a bin state when the first image analysis module identifies the garbage bin.
According to one manner of implementation 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 bin type information and placement position information from the images at the placement positions of the garbage bin, and judging whether the type of the garbage bin corresponds to the placement position or not according to the extracted information;
and the fifth updating module is used for updating the garbage bin state of the garbage bin placement position into a misplaced garbage bin state when the type of the garbage bin does not correspond to the placed position.
According to one manner of implementation of the embodiment of the second aspect of the present invention, the system further comprises:
and a sixth updating module, configured to update the garbage can state of the garbage can placement position to an empty can state when the weight is lower than a fourth threshold.
According to one manner of implementation 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;
the third image analysis module is used for identifying garbage at the top of the garbage can according to the garbage can image;
and a seventh updating module, configured to update a garbage bin state of the garbage bin placement position to a full bin state when the garbage bin image identifies garbage in the garbage bin top area.
According to one manner of implementation 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 bin state of the garbage bin placement position to be an abnormal state when the weight change quantity of the garbage bin at two adjacent times exceeds the standard change quantity threshold value.
According to one manner of implementation 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 around the garbage can, which are acquired by the camera, when the state of the garbage can is abnormal;
the fourth image analysis module is used for identifying the human body according to the images around the garbage can;
And the ninth updating module is used for updating the garbage bin state of the garbage bin placement position into a manual garbage collection state when the fourth image analysis module identifies a human body and the weight change of the garbage bin at 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 can and the image characteristics of the human body when the garbage can is in a manual garbage collection state;
the judging module is used for analyzing weight information acquired by a subsequent weighing sensor, and sending an instruction to the acquiring module if the weight of the garbage can is the same as the weight when the garbage can is unchanged;
the acquisition module is used for acquiring the current garbage can peripheral image acquired by the camera according to the instruction;
and the state confirmation module is used for updating the human garbage collection state into a compacted garbage state when the image characteristics of the human body are recognized to be matched with the recorded image characteristics of the human body according to the current garbage can peripheral image.
According to one manner of implementation of the embodiment of the second aspect of the present invention, the system further comprises:
the fifth receiving module is used for receiving the images around the garbage can, which are acquired by the camera, when the state of the garbage can is abnormal;
The fifth image analysis module is used for identifying the human body according to the images around the garbage can;
and the tenth updating module is used for updating the garbage bin state of the garbage bin placing position into a human malicious garbage throwing state when the fifth image analysis module identifies a human body and the weight of the garbage bin is changed into an ascending trend in two adjacent times.
According to one manner of implementation 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 bin state information to the user terminal corresponding to the garbage bin placement position.
The functions and implementation manners of the modules in the above embodiment of the system are the same as those in the above embodiment of the intelligent garbage station control method, and specific analysis can refer to the above embodiment of the intelligent garbage station control method, so that repetition is avoided, and details are not repeated here.
The invention also provides an intelligent garbage station 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 intelligent garbage station control method according to any one of the embodiments is realized when the processor executes the computer program.
The invention also provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and the computer program is executed to realize the intelligent garbage station management and control method according to any one of the embodiments.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor is a control center of the intelligent garbage station control device, and various interfaces and lines are used to connect various parts of the whole intelligent garbage station control device.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the intelligent waste station management and control device by running or executing the computer program and/or module stored in the memory and invoking 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 (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Wherein the modules/units integrated with the intelligent waste station management device, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
While the foregoing is directed to the preferred embodiments of the present application, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the present application, such changes and modifications are also intended to be within the scope of the present application.
Claims (22)
1. The intelligent garbage station management and control method is characterized by comprising the following steps:
the control terminal receives weight information acquired by a weighing sensor positioned at the placement position of the garbage can;
if the weight is lower than a first threshold value, the control terminal updates the garbage bin state of the garbage bin placement position to be a bin-free state;
if the weight is in the standard threshold range, the control terminal receives an image of the placement position of the garbage can, which is acquired by the camera;
when the control terminal identifies the garbage can according to the image of the garbage can placing position, the control terminal updates the garbage can state of the garbage can placing position into a can state;
the control terminal extracts garbage bin type information and placement position information from the images of the placement positions of the garbage bin, and judges whether the type of the garbage bin corresponds to the placement positions 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.
2. The intelligent waste station management and control method of claim 1, further comprising:
and if the weight is not lower than the first threshold value and lower than the second threshold value, the control terminal updates the garbage bin state of the garbage bin placing position into a small bin placing state.
3. The intelligent garbage station control method according to claim 2, wherein if the weight is not lower than the second threshold value and lower than a third threshold value, the control terminal updates the garbage bin state of the garbage bin placement position to a large bin placement state.
4. The intelligent waste station management and control method of claim 1, further comprising:
and 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.
5. The intelligent waste station management and control method of claim 1, further comprising:
if the weight is not lower than a fifth threshold, the control terminal receives the garbage can image acquired by the camera;
When the control terminal identifies garbage in the top area of the garbage can according to the garbage can image, the control terminal updates the garbage can state of the garbage can placing position into a full can state.
6. The intelligent waste station management and control method of claim 1, further comprising:
and if the weight change quantity of the adjacent two garbage cans exceeds the standard change quantity threshold value, the control terminal updates the garbage can state of the garbage can placing position to be an abnormal state.
7. The intelligent waste station management and control method of claim 6, further comprising:
when the state of the garbage can is abnormal, the control terminal receives images around the garbage can, which are acquired 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 garbage can is in a descending trend, the control terminal updates the garbage can state of the garbage can placement position to be a manual garbage collection state.
8. The intelligent waste station management and control method of claim 7, further comprising:
when the garbage can is in a manual garbage collection state, the control terminal records the unchanged weight of the garbage can and the image characteristics of the human body;
The control terminal analyzes weight information acquired by a follow-up weighing sensor, if the weight of the garbage can is the same as the weight of the garbage can when the garbage can is unchanged, the control terminal acquires a current garbage can peripheral image acquired by a camera, and when the control terminal recognizes that the image characteristics of a human body are matched with the recorded image characteristics of the human body according to the current garbage can peripheral image, the control terminal updates the human garbage picking state to be a compaction garbage state.
9. The intelligent waste station management and control method of claim 6, further comprising:
when the state of the garbage can is abnormal, the control terminal receives images around the garbage can, which are acquired by the camera;
when the control terminal identifies a human body according to the images around the garbage can and the weight of the garbage can changes into an ascending trend in two adjacent times, the control terminal updates the garbage can state of the garbage can placing position into a human malicious garbage throwing state.
10. The intelligent waste station management method according to any one of claims 1-9, further comprising:
and the control terminal sends the updated garbage bin state information to the user terminal corresponding to the garbage bin placement position.
11. Intelligent rubbish station management and control system, its characterized in that includes:
the first receiving module is used for receiving weight information acquired by the weighing sensor positioned at the garbage can placement position;
a first updating module, configured to update a garbage can state of the garbage can placement position to a no-can state when the weight is lower than a first threshold;
the second receiving module is used for receiving images of the garbage can placement positions acquired by the cameras when the weight is within a standard threshold range;
the first image analysis module is used for carrying out garbage can identification on the images at the garbage can placement positions;
a fourth updating module, configured to update a trash can state of the trash can placement position to a can state when the first image analysis module identifies the trash can;
the second image analysis module is used for extracting garbage bin type information and placement position information from the images at the placement positions of the garbage bin, and judging whether the type of the garbage bin corresponds to the placement position or not according to the extracted information;
and the fifth updating module is used for updating the garbage bin state of the garbage bin placement position into a misplaced garbage bin state when the type of the garbage bin does not correspond to the placed position.
12. The intelligent waste station management and control system of claim 11, further comprising:
and the second updating module is used for updating the garbage bin state of the garbage bin placing position into a small bin placing state when the weight is not lower than the first threshold value and is lower than a second threshold value.
13. The intelligent waste station management and control system of claim 12, further comprising:
and the third updating module is used for updating the garbage bin state of the garbage bin placing position into a large bin placing state when the weight is not lower than the second threshold value and is lower than a third threshold value.
14. The intelligent waste station management and control system of claim 11, further comprising:
and a sixth updating module, configured to update the garbage can state of the garbage can placement position to an empty can state when the weight is lower than a fourth threshold.
15. The intelligent waste station management and control system of claim 11, 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;
the third image analysis module is used for identifying garbage at the top of the garbage can according to the garbage can image;
And a seventh updating module, configured to update a garbage bin state of the garbage bin placement position to a full bin state when the garbage bin image identifies garbage in the garbage bin top area.
16. The intelligent waste station management and control system of claim 11, further comprising:
and the eighth updating module is used for updating the garbage bin state of the garbage bin placement position to be an abnormal state when the weight change quantity of the garbage bin at two adjacent times exceeds the standard change quantity threshold value.
17. The intelligent waste station management system of claim 16, further comprising:
the fourth receiving module is used for receiving the images around the garbage can, which are acquired by the camera, when the state of the garbage can is abnormal;
the fourth image analysis module is used for identifying the human body according to the images around the garbage can;
and the ninth updating module is used for updating the garbage bin state of the garbage bin placement position into a manual garbage collection state when the fourth image analysis module identifies a human body and the weight change of the garbage bin at two adjacent times is a descending trend.
18. The intelligent waste station management and control system of claim 17, further comprising:
The recording module is used for recording the unchanged weight of the garbage can and the image characteristics of the human body when the garbage can is in a manual garbage collection state;
the judging module is used for analyzing the weight information acquired by the subsequent weighing sensor, and sending an instruction to the acquisition module if the weight of the garbage can is the same as the weight when the garbage can is unchanged;
the acquisition module is used for acquiring the current garbage can peripheral image acquired by the camera according to the instruction;
and the state confirmation module is used for updating the human garbage collection state into a compacted garbage state when the image characteristics of the human body are recognized to be matched with the recorded image characteristics of the human body according to the current garbage can peripheral image.
19. The intelligent waste station management and control system of claim 17, further comprising:
the fifth receiving module is used for receiving the images around the garbage can, which are acquired by the camera, when the state of the garbage can is abnormal;
the fifth image analysis module is used for identifying the human body according to the images around the garbage can;
and the tenth updating module is used for updating the garbage bin state of the garbage bin placing position into a human malicious garbage throwing state when the fifth image analysis module identifies a human body and the weight of the garbage bin is changed into an ascending trend in two adjacent times.
20. The intelligent waste station management system of any one of claims 11-19, further comprising:
and the sending module is used for sending the updated garbage bin state information to the user terminal corresponding to the garbage bin placement position.
21. Intelligent waste station management device, characterized by comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the intelligent waste station management method according to any of claims 1-10 when executing the computer program.
22. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed, implements the intelligent waste station management method according to any of claims 1-10.
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