CN113844797A - Control method and device for intelligent classification dustbin and storage medium - Google Patents
Control method and device for intelligent classification dustbin and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
- B65F1/0053—Combination of several receptacles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
- B65F2001/008—Means for automatically selecting the receptacle in which refuse should be placed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/138—Identification means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/176—Sorting means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/178—Steps
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/182—Volume determining means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/184—Weighing means
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Abstract
The application discloses a control method and device for an intelligent classification dustbin, a storage medium and computer equipment, wherein the method comprises the following steps: receiving a junk recognition instruction, and acquiring a picture to be recognized corresponding to target junk and/or a voice to be recognized corresponding to a target user; determining a target delivery compartment corresponding to the target rubbish from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized; and opening a cabin door corresponding to the target delivery cabin to guide the target user to deliver the target garbage. This application is through the kind of intelligent classification dustbin automatic identification target rubbish, and then confirms the target delivery cabin that target rubbish corresponds, can effectively avoid the higher problem of delivery error rate that traditional classification dustbin exists to appear, when promoting rubbish delivery accuracy, can improve user's rubbish delivery greatly and experience.
Description
Technical Field
The application relates to the technical field of intelligent control, in particular to a control method and device of an intelligent classification dustbin, a storage medium and computer equipment.
Background
With the increasing of domestic garbage, the difficulty of garbage disposal is increased. The waste treatment is improper, can cause very big pollution to the environment, and handles rubbish again after classifying rubbish, can the pollution that brings the environment among the greatly reduced refuse treatment process. Therefore, the classified delivery of garbage has very important significance for protecting the environment.
The existing garbage classification method is to arrange garbage compartments for putting different types of garbage in a garbage can, but when a lot of users deliver the garbage, the users do not determine which garbage compartment the garbage to be delivered belongs to, so that delivery errors are easily caused, and difficulty is brought to subsequent garbage recovery and treatment. Therefore, how to improve the accuracy of the garbage delivery and the garbage delivery experience of the user is the direction of continuous exploration of the current garbage can.
Disclosure of Invention
In view of this, the application provides a control method and device for an intelligent classification dustbin, a storage medium, and a computer device, where the type of target rubbish is automatically identified by the intelligent classification dustbin, and then a target delivery cabin corresponding to the target rubbish is determined, so that the problem of a high delivery error rate of a traditional classification dustbin can be effectively avoided, and the rubbish delivery accuracy is improved while the rubbish delivery experience of a user can be greatly improved.
According to an aspect of the present application, there is provided a method for controlling an intelligent classification garbage can, including:
receiving a junk recognition instruction, and acquiring a picture to be recognized corresponding to target junk and/or a voice to be recognized corresponding to a target user;
determining a target delivery compartment corresponding to the target rubbish from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized;
and opening a cabin door corresponding to the target delivery cabin to guide the target user to deliver the target garbage.
Optionally, before the target delivery compartment corresponding to the target refuse is determined from at least two delivery compartments, the method further includes:
determining whether the article type corresponding to the target rubbish belongs to a preset container type or not based on the picture to be recognized and/or the voice to be recognized;
and when the article type belongs to the preset container type, detecting the content state of the target garbage, and outputting content processing prompt information when the content exists in the target garbage.
Optionally, after the door corresponding to the target delivery compartment is opened to guide the target user to deliver the target rubbish, the method further includes:
and continuously monitoring the current value in the cabin door anti-pinch loop, and cutting off the cabin door closing loop when monitoring that the variation amplitude of the current value is greater than a preset variation amplitude threshold value so as to stop closing the cabin door.
Optionally, after determining a target delivery compartment corresponding to the target refuse from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized, the method further includes:
detecting the volume of the garbage in the target delivery compartment through a preset position sensor;
when the volume of the garbage is smaller than or equal to a first preset volume threshold value, executing the opening of a cabin door corresponding to the target delivery cabin;
when the volume of the garbage is larger than the first preset volume threshold and smaller than a second preset volume threshold, the opening of a cabin door corresponding to the target delivery cabin is executed, a garbage cleaning request is generated, and the garbage cleaning request is sent to a server so that the server forwards the garbage cleaning request to a target client;
when the garbage volume is larger than or equal to the second preset volume threshold value, generating a cleaning warning request, monitoring the garbage volume change condition in real time, and when the garbage volume change is not monitored, sending the cleaning warning request to a server according to the predicted sending frequency so that the server forwards the cleaning warning request to the target client.
Optionally, the method further comprises:
displaying preset propaganda information through an electronic screen, and cutting off an information display loop and continuously monitoring information receiving behaviors when the current time is consistent with the preset display stopping time;
when the information receiving behavior is monitored, the information display loop is switched on, the preset propaganda information is displayed on the electronic screen, and a timing device is started;
and when the time recorded by the timing device is longer than the preset display time, cutting off the information display loop again.
Optionally, before the receiving the spam recognition instruction, the method further includes:
receiving a client connection instruction, and connecting a client with the intelligent classification garbage can, wherein the client connection instruction comprises a client identifier corresponding to the client;
after the door corresponding to the target delivery compartment is opened to guide the target user to deliver the target rubbish, the method further comprises the following steps:
calculating an integral corresponding to the target rubbish based on the weight corresponding to the target rubbish, and generating integral information;
when the situation that the cabin door of the target delivery cabin is completely closed is monitored, the point information is sent to the client based on the client identification, so that the client updates historical point information.
Optionally, the method further comprises:
the method comprises the steps of counting corresponding garbage delivery frequency and garbage delivery volume in each delivery cabin in different time periods according to preset counting time, calculating the optimal cleaning time of each delivery cabin based on the garbage delivery frequency and the garbage delivery volume, and sending the optimal cleaning time to a server so that the server forwards the optimal cleaning time to a target client.
According to another aspect of the present application, there is provided a control apparatus of an intelligent classification garbage can, including:
the instruction receiving module is used for receiving a junk recognition instruction and acquiring a picture to be recognized corresponding to target junk and/or a voice to be recognized corresponding to a target user;
a delivery compartment determining module, configured to determine, based on the picture to be recognized and/or the voice to be recognized, a target delivery compartment corresponding to the target refuse from at least two delivery compartments;
and the cabin door opening module is used for opening the cabin door corresponding to the target delivery cabin so as to guide the target user to deliver the target garbage.
Optionally, the apparatus further comprises:
the type determining module is used for determining whether the type of the object corresponding to the target rubbish belongs to a preset container type or not based on the picture to be recognized and/or the voice to be recognized before the target delivery compartment corresponding to the target rubbish is determined from the at least two delivery compartments;
and the information prompt module is used for detecting the content state of the target garbage when the article type belongs to the preset container type, and outputting content processing prompt information when the content exists in the target garbage.
Optionally, the apparatus further comprises:
and the cabin door anti-pinch module is used for opening the cabin door corresponding to the target delivery cabin so as to guide the target user to deliver the target garbage, continuously monitoring the current value in the cabin door anti-pinch loop, and cutting off the cabin door to close the loop when the variation amplitude of the current value is greater than a preset variation amplitude threshold value so as to stop closing the cabin door.
Optionally, the apparatus further comprises:
a detection module is used for detecting the volume of the garbage in the target delivery compartment through a preset position sensor after the target delivery compartment corresponding to the target garbage is determined from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized;
the judging module is used for executing the opening of the cabin door corresponding to the target delivery cabin when the volume of the garbage is smaller than or equal to a first preset volume threshold value; when the volume of the garbage is larger than the first preset volume threshold and smaller than a second preset volume threshold, the opening of a cabin door corresponding to the target delivery cabin is executed, a garbage cleaning request is generated, and the garbage cleaning request is sent to a server so that the server forwards the garbage cleaning request to a target client; when the garbage volume is larger than or equal to the second preset volume threshold value, generating a cleaning warning request, monitoring the garbage volume change condition in real time, and when the garbage volume change is not monitored, sending the cleaning warning request to a server according to the predicted sending frequency so that the server forwards the cleaning warning request to the target client.
Optionally, the apparatus further comprises:
the loop cutting-off module is used for displaying preset propaganda information through the electronic screen, cutting off the information display loop and continuously monitoring information receiving behaviors when the current time is consistent with the preset display stopping time;
the loop connection module is used for connecting the information display loop when monitoring the information receiving behavior, displaying the preset propaganda information on the electronic screen and starting a timing device;
and the loop cutting-off module is also used for cutting off the information display loop again when the time recorded by the timing device is longer than the preset display time.
Optionally, the apparatus further comprises:
the connection module is used for receiving a client connection instruction before the garbage recognition instruction is received, and connecting a client with the intelligent classification garbage can, wherein the client connection instruction comprises a client identifier corresponding to the client;
optionally, the apparatus further comprises:
the point calculation module is used for calculating points corresponding to the target garbage based on the weight corresponding to the target garbage after opening the cabin door corresponding to the target delivery cabin to guide the target user to deliver the target garbage, and generating point information;
and the point sending module is used for sending the point information to the client based on the client identifier when the situation that the cabin door of the target delivery cabin is completely closed is monitored, so that the client updates the historical point information.
Optionally, the apparatus further comprises:
the time calculation module is used for counting corresponding garbage delivery frequency and garbage delivery volume in each delivery cabin in different time periods according to preset counting time, calculating the optimal cleaning time of each delivery cabin based on the garbage delivery frequency and the garbage delivery volume, and sending the optimal cleaning time to a server so that the server forwards the optimal cleaning time to the target client.
According to yet another aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described method of controlling an intelligent sorting bin.
According to yet another aspect of the present application, there is provided a computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the control method of the intelligent sorting trash bin when executing the program.
By means of the technical scheme, the control method and device for the intelligent classification garbage can, the storage medium and the computer device can acquire the image to be recognized corresponding to the target garbage and/or the voice to be recognized corresponding to the target user after receiving the garbage recognition instruction, then recognize and process the image to be recognized and/or the voice to be recognized, determine the delivery cabin corresponding to the target garbage from at least two delivery cabins as the target delivery cabin, and then open the cabin door corresponding to the target delivery cabin, so that the target user can directly deliver the target garbage to the target delivery cabin. According to the garbage delivery system and the garbage delivery method, the type of the target garbage is automatically identified through the intelligent classification garbage can, then the target delivery cabin corresponding to the target garbage is determined, the problem that the delivery error rate is high in the conventional classification garbage can be effectively avoided, the garbage delivery accuracy is improved, and meanwhile the garbage delivery experience of a user can be greatly improved
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart illustrating a control method for an intelligent classification garbage can according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating another control method for an intelligent classification garbage can according to an embodiment of the present application;
fig. 3 shows a schematic structural diagram of a control device of an intelligent classification dustbin provided by the embodiment of the application.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In this embodiment, a method for controlling an intelligent classification garbage can is provided, as shown in fig. 1, the method includes:
the intelligent classification dustbin that this application embodiment provided can receive rubbish discernment instruction. The garbage identification instruction can be generated by triggering a mobile client after a target user scans a two-dimensional code on an intelligent classification garbage can through the mobile client; or the target user directly triggers the garbage recognition button corresponding to the intelligent classification garbage can to generate the garbage. After receiving the garbage recognition instruction, a camera device on the intelligent classification garbage can be started, the image to be recognized corresponding to the target garbage is obtained through the camera device, or a voice pickup device on the intelligent classification garbage can is started, the voice to be recognized corresponding to the target user is obtained through the voice pickup device, and in addition, the image to be recognized and the voice to be recognized can be obtained simultaneously.
102, determining a target delivery compartment corresponding to the target rubbish from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized;
in the embodiment, after the picture to be recognized and/or the voice to be recognized are obtained, the picture to be recognized and/or the voice to be recognized are recognized and processed, and then the target delivery cabin corresponding to the target rubbish is determined. Because the target garbage needs to be classified and finally is put into the corresponding target delivery cabin, the intelligent classification garbage can at least comprise two target delivery cabins. Specifically, after a picture to be recognized is obtained, the picture to be recognized is input into a trained picture recognition model, the type of an article to which target garbage belongs can be obtained through the trained picture recognition model, and a corresponding target delivery cabin is determined according to the type of the article; or after the voice to be recognized is acquired, the voice data corresponding to the voice to be recognized is recognized, the target character information corresponding to the voice to be recognized is determined according to the voice data, the similarity between the target character information and the preset stored character information is further calculated, and the corresponding delivery cabin is determined to be the target delivery cabin according to the type of the article corresponding to the preset stored character information with the highest similarity. After the type of the object corresponding to the target rubbish is determined, the identification result can be directly displayed on an electronic screen of the intelligent classification dustbin, the type of the object can be specifically and directly displayed, and the code identification of the target delivery cabin can also be displayed, so that the memory and the knowledge of the target user on the type of the object to which the target rubbish belongs can be improved. For example, after the picture to be recognized is obtained, the picture to be recognized is recognized by using a trained picture recognition model, the article type of the target garbage displayed after recognition is glass bottles, three delivery cabins, namely a delivery cabin A, a delivery cabin B and a delivery cabin C, are arranged in the intelligent classification garbage box, wherein the article type corresponding to the delivery cabin A comprises the glass bottles, glass fragments and the like, so that the delivery cabin A is determined to be the target delivery cabin corresponding to the target garbage, and at the moment, the glass bottles can be directly displayed on an electronic screen of the intelligent classification garbage box, and the delivery cabin A can also be directly displayed.
103, opening a cabin door corresponding to the target delivery cabin to guide the target user to deliver the target garbage.
In the embodiment, after the target delivery compartment corresponding to the target rubbish is determined, the compartment door corresponding to the target delivery compartment is automatically opened, so that the target user can directly throw the target rubbish into the corresponding delivery compartment.
By applying the technical scheme of the embodiment, after the garbage recognition instruction is received, the image to be recognized corresponding to the target garbage and/or the voice to be recognized corresponding to the target user can be obtained, then the image to be recognized and/or the voice to be recognized are recognized and processed, the delivery cabin corresponding to the target garbage is determined from at least two delivery cabins to be used as the target delivery cabin, and then the cabin door corresponding to the target delivery cabin is opened, so that the target user can directly deliver the target garbage to the target delivery cabin. According to the garbage delivery system, the type of the target garbage is automatically identified through the intelligent classification garbage can, and then the target delivery cabin corresponding to the target garbage is determined, so that the problem that the delivery error rate is high in the conventional classification garbage can is effectively avoided, the garbage delivery accuracy is improved, and the garbage delivery experience of a user can be greatly improved.
Further, as a refinement and an extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of the embodiment, another control method for intelligently classifying the trash box is provided, which includes:
step 201, receiving a spam identification instruction, and acquiring a picture to be identified corresponding to target spam and/or a voice to be identified corresponding to a target user;
step 202, determining whether the article type corresponding to the target rubbish belongs to a preset container type or not based on the picture to be recognized and/or the voice to be recognized;
in this embodiment, the intelligent classification trash can receive the trash recognition instruction, and then the image to be recognized corresponding to the target trash can be acquired through the camera device of the intelligent classification trash can, and the voice to be recognized corresponding to the target user can also be acquired through the voice pickup device of the intelligent classification trash can. Then, whether the type of the object to which the target rubbish belongs is among the preset container types or not can be determined on the basis of the picture to be recognized and/or the voice to be recognized. For example, the article type may be a bottle type, a can type, a basin type, a carton type, a stick type, etc., wherein the bottle type, the can type, the basin type may all belong to a predetermined container type.
Step 203, when the article type belongs to the preset container type, detecting the content state of the target garbage, and when the content exists in the target garbage, outputting content processing prompt information;
in this embodiment, when it is found through the identification that the article type corresponding to the target refuse is exactly one of the preset container types, the state of the content in the target refuse can be further detected. For example, when the object type corresponding to the target refuse is a bottle type, whether the bottle contains liquid or not can be detected; when the object type corresponding to the target garbage is a basin, whether other objects exist in the basin or not can be detected. When the detection shows that the target garbage really has the contents, the contents processing prompt information can be output in a voice prompt mode or a text display mode on an electronic screen, so that the target user can be prompted to process the contents in the target garbage and then deliver the contents.
Step 204, determining a target delivery compartment corresponding to the target rubbish from at least two delivery compartments; opening a cabin door corresponding to the target delivery cabin to guide the target user to deliver the target garbage;
in this embodiment, when the article type corresponding to the target refuse does not belong to the preset container type, or when the article type corresponding to the target refuse belongs to the preset container type but the target refuse does not have the content therein, the target delivery compartment corresponding to the target refuse may be determined from the at least two delivery compartments, and then the compartment door corresponding to the target delivery compartment is opened, and at this time, the target user may start to deliver the target refuse to the target delivery compartment.
In addition, when the target user knows the target delivery compartment that target rubbish corresponds and need not to pass through intelligent classification dustbin discernment, the target user can directly trigger the opening button that different delivery compartments correspond, can realize the delivery of target rubbish.
Step 205, continuously monitoring a current value in a cabin door anti-pinch loop, and when the monitored current value variation amplitude is larger than a preset variation amplitude threshold value, cutting off a cabin door closing loop to stop closing the cabin door;
in this embodiment, intelligent classification dustbin can also set up the hatch door and prevent pressing from both sides the return circuit. The strip can be prevented pressing from both sides in the setting of hatch door position department specifically, can include two electrically conductive contact areas of mutual certain distance of keeping apart in preventing pressing from both sides the strip, and electrically conductive contact area can prevent pressing from both sides the return circuit with the hatch door and link to each other, and after the strip contacted the barrier of preventing pressing from both sides of hatch door position, two electrically conductive contact areas in preventing pressing from both sides the strip can contact each other and form the short circuit to cause the hatch door to prevent pressing from both sides the current value in the return circuit and change by a wide margin. After the cabin door corresponding to the target delivery cabin is opened, the current value in the anti-pinch loop of the cabin door can be continuously monitored, so that whether the cabin door is in contact with the barrier or not is judged. When the current value is monitored to be changed greatly and the change amplitude is larger than the preset change amplitude threshold value, the situation that the cabin door is in contact with the barrier can be shown, and at the moment, a cabin door closing loop can be cut off, so that the motor driving the cabin door to be closed stops working, and the cabin door stops closing. This application is through opening the back real-time supervision hatch door at the hatch door and prevent the current value in the clamp return circuit to when the current variation amplitude is greater than preset variation amplitude threshold value, stop closing the hatch door, can effectively avoid the target user to be pressed from both sides carelessly when delivering target rubbish, promoted the security that target user rubbish was delivered greatly.
Step 206, displaying preset propaganda information through an electronic screen, and cutting off an information display loop and continuously monitoring information receiving behaviors when the current time is consistent with the preset display stopping time; when the information receiving behavior is monitored, the information display loop is switched on, the preset propaganda information is displayed on the electronic screen, and a timing device is started; and when the time recorded by the timing device is longer than the preset display time, cutting off the information display loop again.
In this embodiment, the intelligent classification dustbin can also play preset propaganda information through the electronic screen. The preset propaganda information can be environmental pollution information, environmental protection information, garbage classification information and the like. When the preset propaganda information is displayed, the current time can be monitored in real time, and when the current time is monitored to be consistent with the preset display stopping time, the current time can be shown to stop displaying the preset propaganda information. At the moment, the information display loop can be cut off, and the information receiving behavior of the intelligent classification dustbin can be continuously monitored. After monitoring the information receiving behavior, it shows that there is the user to put in rubbish this moment, so can put through the information display return circuit again to resume the broadcast of predetermineeing the propaganda information again, start timing device simultaneously with this, record the time of rebroadcasting the predetermined propaganda information through timing device, when the time of record is greater than predetermineeing the display time, show that the user who delivers rubbish has often left, cut off the information display return circuit again this moment, stop the show to predetermineeing the propaganda information. The preset display time can be obtained through investigation and analysis, can be calculated through a model, and can also be obtained through other ways. In addition, when the current time is consistent with the preset initial display time, the information display loop is switched on, and the preset propaganda information starts to be displayed. The embodiment of the application starts to stop displaying the preset propaganda information when the preset stop displaying time is reached by setting the preset stop displaying time, and resumes the playing of the preset propaganda information when the user delivers garbage, so that the user delivering the garbage can learn more propaganda knowledge while reducing the waste of electric energy.
In this embodiment of the present application, optionally, after "determining a target delivery compartment corresponding to the target refuse from at least two delivery compartments" in step 204, the method further includes: detecting the volume of the garbage in the target delivery compartment through a preset position sensor; when the volume of the garbage is smaller than or equal to a first preset volume threshold value, executing the opening of a cabin door corresponding to the target delivery cabin; when the volume of the garbage is larger than the first preset volume threshold and smaller than a second preset volume threshold, the opening of a cabin door corresponding to the target delivery cabin is executed, a garbage cleaning request is generated, and the garbage cleaning request is sent to a server so that the server forwards the garbage cleaning request to a target client; when the garbage volume is larger than or equal to the second preset volume threshold value, generating a cleaning warning request, monitoring the garbage volume change condition in real time, and when the garbage volume change is not monitored, sending the cleaning warning request to a server according to the predicted sending frequency so that the server forwards the cleaning warning request to the target client.
In this embodiment, after the target delivery compartment corresponding to the target refuse is determined, the corresponding volume of the refuse in the target delivery compartment may be further determined, and then it is determined whether to open the compartment door. In particular, the volume of waste in the target delivery compartment may be determined by a pre-set position sensor. When the volume of the detected garbage is smaller than or equal to the first preset volume threshold value, the situation shows that enough space for accommodating the target garbage still exists in the target delivery compartment, and the operation of opening the compartment door can be continuously executed. When the volume of the garbage is detected to be larger than the first preset volume threshold value and smaller than the second preset volume threshold value, the target delivery cabin can contain target garbage with a certain volume, but the target delivery cabin needs to be cleaned in time, so that the cabin door opening operation can be continuously executed, meanwhile, a garbage cleaning request is generated and sent to the server, and after the server receives the garbage cleaning request, the garbage cleaning request is forwarded to the target client. The garbage cleaning request can include the unique identification corresponding to the intelligent classification garbage can and the positioning information corresponding to the intelligent classification garbage can, so that garbage cleaning personnel corresponding to the target client can directly find the corresponding intelligent classification garbage can according to the unique identification corresponding to the intelligent classification garbage can and the positioning information, the determination time of the intelligent classification garbage can is greatly saved, and the garbage cleaning efficiency is favorably improved. In addition, when the volume of the garbage is detected to be larger than or equal to a second preset volume threshold value, the situation that any target garbage can not be delivered in the target delivery cabin is indicated, cleaning is urgently needed, the cabin door is not opened any more at this time, a cleaning warning request is generated, meanwhile, the volume of the garbage is monitored in real time, and if the volume of the garbage is not changed all the time, the situation that the garbage is not cleaned all the time is indicated, so that the generated cleaning warning request can be sent to the server according to the predicted sending frequency, and after the server receives the cleaning warning request, the cleaning warning request is forwarded to the target client so as to remind garbage cleaning personnel corresponding to the target client to clean the garbage.
In addition, the height of the vacant space in the target delivery compartment can be further determined according to the detection result of the position sensor, and the vacant space height is displayed on an electronic screen or played in voice, so that a target user can determine whether target garbage needing to be delivered can be accommodated according to the vacant space height, and the situation that delivery is unsuccessful due to the fact that the target garbage is too large is avoided.
In this embodiment of the application, optionally, before the "receiving a spam identification instruction" in step 201, the method further includes: receiving a client connection instruction, and connecting a client with the intelligent classification garbage can, wherein the client connection instruction comprises a client identifier corresponding to the client; after the step 204, opening the door corresponding to the target delivery compartment to guide the target user to deliver the target rubbish, the method further includes: calculating an integral corresponding to the target rubbish based on the weight corresponding to the target rubbish, and generating integral information; when the situation that the cabin door of the target delivery cabin is completely closed is monitored, the point information is sent to the client based on the client identification, so that the client updates historical point information.
In this embodiment, before receiving the garbage recognition instruction, a client connection instruction may be further received, and the client and the intelligent classification garbage can may be connected together through the client connection instruction, so as to implement communication between the client and the intelligent classification garbage can. After the target delivery cabin is determined and the cabin door of the target delivery cabin is opened, delivered target garbage can be weighed, corresponding integral is converted through the weight of the garbage, and integral information is generated according to the calculated integral result. When the target refuse delivery is finished and the cabin door of the target delivery cabin is completely closed, the generated integral information can be sent to the corresponding client according to the client identifier corresponding to the client, and the client can update the historical integral information according to the received integral information.
In this embodiment of the present application, optionally, the method further includes: the method comprises the steps of counting corresponding garbage delivery frequency and garbage delivery volume in each delivery cabin in different time periods according to preset counting time, calculating the optimal cleaning time of each delivery cabin based on the garbage delivery frequency and the garbage delivery volume, and sending the optimal cleaning time to a server so that the server forwards the optimal cleaning time to a target client.
In this embodiment, the corresponding garbage delivery habits of different target users are different, so that the garbage delivery frequency and the garbage delivery volume in each delivery cabin in different time periods can be counted according to preset counting time, and other information can be counted. The preset statistical time can be counted once per day or once per week, and can be determined according to actual needs. Further, the different time periods may be divided into morning time periods, noon time periods, evening time periods, and evening time periods. The optimal cleaning time of each delivery compartment can be further determined by statistically analyzing the corresponding garbage delivery frequency and the corresponding garbage delivery volume of each delivery compartment in different time periods. For example, the intelligent classification garbage can marked as A113 comprises four delivery compartments, namely a delivery compartment A, a delivery compartment B, a delivery compartment C and a delivery compartment D, and statistical analysis shows that the delivery frequency of the delivery compartment A is the highest in the morning time period and the delivery volume of the garbage is the largest, and the garbage delivery frequency of the delivery compartment A in the midday time period is the lowest, and the garbage delivery volume is the least, the optimal cleaning time corresponding to the delivery compartment A can be determined as the midday time period, because the users delivering the garbage in the time period are the least, the garbage is cleaned in the time period, which can avoid the inconvenience for the garbage delivery users, and the garbage delivered in the morning time period can be cleaned in time, in addition, the best cleaning time can be determined to be before the morning time period, therefore, the space of the delivery cabin can be vacated for the garbage delivery peak in time, so that the use of target users is influenced by the overflow of the delivery cabin. After the optimal cleaning time is determined, the optimal cleaning time is sent to the server, and the server can forward the optimal cleaning time to the target client after receiving the optimal cleaning time, so that garbage cleaning personnel are reminded to clean the intelligent classification garbage can within the optimal cleaning time.
In this embodiment of the present application, optionally, the method further includes: the corresponding temperature value and/or smoke concentration value in each delivery cabin are monitored in real time through a preset temperature sensor and/or a preset smoke sensor, when the temperature value is larger than a preset temperature threshold value and/or the smoke concentration value is larger than a preset smoke threshold value, an alarm device is started, an alarm prompt signal is generated, and the alarm prompt signal is sent to a supervision platform.
In this embodiment of the present application, optionally, the method further includes: the method comprises the steps of monitoring the volume of garbage in each delivery compartment in real time, and switching on a garbage disinfection loop to start a preset garbage disinfection device when the volume of the garbage in any delivery compartment is larger than a preset disinfection volume.
In this embodiment of the present application, optionally, the method further includes: and recording environmental information through a preset monitoring camera in real time, and sending the environmental information to the monitoring platform.
Further, for fully explaining the specific implementation process of the embodiment, another control method for intelligently classifying the trash bin is provided, as shown in fig. 2, the method includes:
the intelligent classification dustbin receives the rubbish putting instruction and outputs login prompt information. When the target user selects to log in, the target user can scan the two-dimensional code on the intelligent classification dustbin through the target client to realize login. When the target user chooses not to log in, the login can be rejected by triggering a "skip" button on the intelligent sortation trash box screen. After logging in or not, the intelligent classification dustbin screen further outputs related inquiry information such as 'whether to know the garbage type corresponding to the target garbage' and the like. When the target user triggers similar buttons such as 'know', the intelligent classification garbage can screen directly displays corresponding marks of different delivery cabins for the target user to select. The intelligent classification garbage can receives an identification selection instruction of a target user, opens a cabin door corresponding to a delivery cabin, and when a target client corresponding to the target user is in a login state, corresponding integral can be calculated according to the weight of target garbage after delivery of the target garbage is completed, and integral information is sent to the target client so as to update historical integral information corresponding to the target client. When a target user triggers a button similar to 'unknown' button, the intelligent classification dustbin screen directly displays an identifier corresponding to a preset identification mode, for example, the preset identification mode may be a photographing identification mode, a voice input identification mode and a text input identification mode, when the target user selects one of the identification modes as the target identification mode, and when the target client is in a login condition, the target user may obtain a corresponding picture to be identified or voice to be identified or text to be identified through the target client or the intelligent classification dustbin; when the target client is not under the login condition, the target user can directly obtain the corresponding picture to be recognized or the voice to be recognized or the text to be recognized through the intelligent classification dustbin. And then, identifying the picture to be identified, the voice to be identified or the character to be identified through the target client or the intelligent classification garbage bin, determining the corresponding target delivery cabin after the identification is successful, and outputting the identifier corresponding to the preset identification mode again when the identification is failed. After the target delivery compartment is determined, the intelligent classification garbage can output confirmation information of the target delivery compartment and display corresponding marks of different delivery compartments for a target user to select. The intelligent classification garbage can receives an identification triggering instruction of a target user, opens a cabin door corresponding to a delivery cabin, calculates corresponding integral according to the weight of target garbage and the like after delivery of the target garbage is completed when a target client corresponding to the target user is in a login state, and sends integral information to the target client so as to update historical integral information corresponding to the target client.
Further, as a specific implementation of the method in fig. 1, an embodiment of the present application provides a control device for an intelligent classification trash bin, as shown in fig. 3, the device includes:
the instruction receiving module is used for receiving a junk recognition instruction and acquiring a picture to be recognized corresponding to target junk and/or a voice to be recognized corresponding to a target user;
a delivery compartment determining module, configured to determine, based on the picture to be recognized and/or the voice to be recognized, a target delivery compartment corresponding to the target refuse from at least two delivery compartments;
and the cabin door opening module is used for opening the cabin door corresponding to the target delivery cabin so as to guide the target user to deliver the target garbage.
Optionally, the apparatus further comprises:
the type determining module is used for determining whether the type of the object corresponding to the target rubbish belongs to a preset container type or not based on the picture to be recognized and/or the voice to be recognized before the target delivery compartment corresponding to the target rubbish is determined from the at least two delivery compartments;
and the information prompt module is used for detecting the content state of the target garbage when the article type belongs to the preset container type, and outputting content processing prompt information when the content exists in the target garbage.
Optionally, the apparatus further comprises:
and the cabin door anti-pinch module is used for opening the cabin door corresponding to the target delivery cabin so as to guide the target user to deliver the target garbage, continuously monitoring the current value in the cabin door anti-pinch loop, and cutting off the cabin door to close the loop when the variation amplitude of the current value is greater than a preset variation amplitude threshold value so as to stop closing the cabin door.
Optionally, the apparatus further comprises:
a detection module is used for detecting the volume of the garbage in the target delivery compartment through a preset position sensor after the target delivery compartment corresponding to the target garbage is determined from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized;
the judging module is used for executing the opening of the cabin door corresponding to the target delivery cabin when the volume of the garbage is smaller than or equal to a first preset volume threshold value; when the volume of the garbage is larger than the first preset volume threshold and smaller than a second preset volume threshold, the opening of a cabin door corresponding to the target delivery cabin is executed, a garbage cleaning request is generated, and the garbage cleaning request is sent to a server so that the server forwards the garbage cleaning request to a target client; when the garbage volume is larger than or equal to the second preset volume threshold value, generating a cleaning warning request, monitoring the garbage volume change condition in real time, and when the garbage volume change is not monitored, sending the cleaning warning request to a server according to the predicted sending frequency so that the server forwards the cleaning warning request to the target client.
Optionally, the apparatus further comprises:
the loop cutting-off module is used for displaying preset propaganda information through the electronic screen, cutting off the information display loop and continuously monitoring information receiving behaviors when the current time is consistent with the preset display stopping time;
the loop connection module is used for connecting the information display loop when monitoring the information receiving behavior, displaying the preset propaganda information on the electronic screen and starting a timing device;
and the loop cutting-off module is also used for cutting off the information display loop again when the time recorded by the timing device is longer than the preset display time.
Optionally, the apparatus further comprises:
the connection module is used for receiving a client connection instruction before the garbage recognition instruction is received, and connecting a client with the intelligent classification garbage can, wherein the client connection instruction comprises a client identifier corresponding to the client;
optionally, the apparatus further comprises:
the point calculation module is used for calculating points corresponding to the target garbage based on the weight corresponding to the target garbage after opening the cabin door corresponding to the target delivery cabin to guide the target user to deliver the target garbage, and generating point information;
and the point sending module is used for sending the point information to the client based on the client identifier when the situation that the cabin door of the target delivery cabin is completely closed is monitored, so that the client updates the historical point information.
Optionally, the apparatus further comprises:
the time calculation module is used for counting corresponding garbage delivery frequency and garbage delivery volume in each delivery cabin in different time periods according to preset counting time, calculating the optimal cleaning time of each delivery cabin based on the garbage delivery frequency and the garbage delivery volume, and sending the optimal cleaning time to a server so that the server forwards the optimal cleaning time to the target client.
It should be noted that other corresponding descriptions of the functional units related to the control device for the intelligent classification trash can provided in the embodiment of the present application may refer to the corresponding descriptions in the method in fig. 1, and are not repeated herein.
Based on the method shown in fig. 1, correspondingly, the present application further provides a storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method for controlling the intelligent sorting trash bin shown in fig. 1.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Based on the method shown in fig. 1 and the virtual device embodiment shown in fig. 3, in order to achieve the above object, the present application further provides a computer device, which may specifically be a personal computer, a server, a network device, and the like, where the computer device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the above-mentioned control method of the intelligent sorting dustbin shown in fig. 1.
Optionally, the computer device may also include a user interface, a network interface, a camera, Radio Frequency (RF) circuitry, sensors, audio circuitry, a WI-FI module, and so forth. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., a bluetooth interface, WI-FI interface), etc.
It will be appreciated by those skilled in the art that the present embodiment provides a computer device architecture that is not limiting of the computer device, and that may include more or fewer components, or some components in combination, or a different arrangement of components.
The storage medium may further include an operating system and a network communication module. An operating system is a program that manages and maintains the hardware and software resources of a computer device, supporting the operation of information handling programs, as well as other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and other hardware and software in the entity device.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus a necessary general hardware platform, and can also be implemented by hardware. After receiving the garbage recognition instruction, acquiring a to-be-recognized picture corresponding to target garbage and/or a to-be-recognized voice corresponding to a target user, recognizing and processing the to-be-recognized picture and/or the to-be-recognized voice, determining a delivery cabin corresponding to the target garbage from at least two delivery cabins as a target delivery cabin, and then opening a cabin door corresponding to the target delivery cabin so that the target user can directly deliver the target garbage to the target delivery cabin. According to the garbage delivery system, the type of the target garbage is automatically identified through the intelligent classification garbage can, and then the target delivery cabin corresponding to the target garbage is determined, so that the problem that the delivery error rate is high in the conventional classification garbage can is effectively avoided, the garbage delivery accuracy is improved, and the garbage delivery experience of a user can be greatly improved.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (10)
1. A control method of an intelligent classification dustbin is characterized by comprising the following steps:
receiving a junk recognition instruction, and acquiring a picture to be recognized corresponding to target junk and/or a voice to be recognized corresponding to a target user;
determining a target delivery compartment corresponding to the target rubbish from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized;
and opening a cabin door corresponding to the target delivery cabin to guide the target user to deliver the target garbage.
2. The method according to claim 1, wherein before determining a target delivery compartment corresponding to the target refuse from the at least two delivery compartments, the method further comprises:
determining whether the article type corresponding to the target rubbish belongs to a preset container type or not based on the picture to be recognized and/or the voice to be recognized;
and when the article type belongs to the preset container type, detecting the content state of the target garbage, and outputting content processing prompt information when the content exists in the target garbage.
3. The method according to claim 2, wherein after the opening of the door corresponding to the target delivery compartment to guide the target user to deliver the target refuse, the method further comprises:
and continuously monitoring the current value in the cabin door anti-pinch loop, and cutting off the cabin door closing loop when monitoring that the variation amplitude of the current value is greater than a preset variation amplitude threshold value so as to stop closing the cabin door.
4. The method according to claim 1, wherein after determining a target delivery compartment corresponding to the target spam from at least two delivery compartments based on the picture to be recognized and/or the voice to be recognized, the method further comprises:
detecting the volume of the garbage in the target delivery compartment through a preset position sensor;
when the volume of the garbage is smaller than or equal to a first preset volume threshold value, executing the opening of a cabin door corresponding to the target delivery cabin;
when the volume of the garbage is larger than the first preset volume threshold and smaller than a second preset volume threshold, the opening of a cabin door corresponding to the target delivery cabin is executed, a garbage cleaning request is generated, and the garbage cleaning request is sent to a server so that the server forwards the garbage cleaning request to a target client;
when the garbage volume is larger than or equal to the second preset volume threshold value, generating a cleaning warning request, monitoring the garbage volume change condition in real time, and when the garbage volume change is not monitored, sending the cleaning warning request to a server according to the predicted sending frequency so that the server forwards the cleaning warning request to the target client.
5. The method of claim 1, further comprising:
displaying preset propaganda information through an electronic screen, and cutting off an information display loop and continuously monitoring information receiving behaviors when the current time is consistent with the preset display stopping time;
when the information receiving behavior is monitored, the information display loop is switched on, the preset propaganda information is displayed on the electronic screen, and a timing device is started;
and when the time recorded by the timing device is longer than the preset display time, cutting off the information display loop again.
6. The method of claim 1, wherein prior to receiving the spam identification instruction, the method further comprises:
receiving a client connection instruction, and connecting a client with the intelligent classification garbage can, wherein the client connection instruction comprises a client identifier corresponding to the client;
after the door corresponding to the target delivery compartment is opened to guide the target user to deliver the target rubbish, the method further comprises the following steps:
calculating an integral corresponding to the target rubbish based on the weight corresponding to the target rubbish, and generating integral information;
when the situation that the cabin door of the target delivery cabin is completely closed is monitored, the point information is sent to the client based on the client identification, so that the client updates historical point information.
7. The method according to any one of claims 1 to 6, further comprising:
the method comprises the steps of counting corresponding garbage delivery frequency and garbage delivery volume in each delivery cabin in different time periods according to preset counting time, calculating the optimal cleaning time of each delivery cabin based on the garbage delivery frequency and the garbage delivery volume, and sending the optimal cleaning time to a server so that the server forwards the optimal cleaning time to a target client.
8. The utility model provides a controlling means of intelligent classification dustbin which characterized in that includes:
the instruction receiving module is used for receiving a junk recognition instruction and acquiring a picture to be recognized corresponding to target junk and/or a voice to be recognized corresponding to a target user;
a delivery compartment determining module, configured to determine, based on the picture to be recognized and/or the voice to be recognized, a target delivery compartment corresponding to the target refuse from at least two delivery compartments;
and the cabin door opening module is used for opening the cabin door corresponding to the target delivery cabin so as to guide the target user to deliver the target garbage.
9. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method of any of claims 1 to 7.
10. A computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the method of any one of claims 1 to 7 when executing the computer program.
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