CN110745419A

CN110745419A - Management method of garbage generation information, garbage collection method and electronic equipment

Info

Publication number: CN110745419A
Application number: CN201911107255.7A
Authority: CN
Inventors: 惠树龙; 王金峰
Original assignee: Wuhu Fabode Robot Technology Co Ltd
Current assignee: Wuhu Fabode Robot Technology Co Ltd
Priority date: 2019-11-13
Filing date: 2019-11-13
Publication date: 2020-02-04

Abstract

The application relates to a management method of garbage generation information, which comprises the following steps: collecting spam characteristic information of at least one commodity, wherein the spam characteristic information comprises: a waste production category and a production amount of at least one waste; collecting commodity information consumed by a user; and determining the expected garbage putting information of the user according to the commodity information and the garbage characteristic information of the at least one commodity.

Description

Management method of garbage generation information, garbage collection method and electronic equipment

Technical Field

The present application belongs to the field of garbage collection, and in particular, to a method for managing garbage generation information, a garbage collection method, an electronic device, and a storage medium.

Background

At present, a manual management method is generally adopted for garbage classification management. This method is time consuming and labor intensive due to manual intervention. And there are other problems, the inventor of this application found: the garbage classification can not be solved from the source of the commodity, the garbage classification recycling process can not be managed, the user is reluctant to break the conventional habit, the habit developed by the consumer for many years is not clear of the garbage type, the garbage classification is guided by the government, the garbage classification recycling is supervised by the government, how much garbage can be generated by each community can not obtain effective data, and the state government and the consumer after the garbage recycling can not obtain the effective data in time; therefore, the manpower and material resource investment of governments, consumers, garbage collectors and community managers is large.

Disclosure of Invention

The present application is directed to a management method of garbage generation information, a garbage collection method, an electronic device, and a storage medium.

An embodiment of the present application provides a method for managing spam generation information, including: collecting spam characteristic information of at least one commodity, wherein the spam characteristic information comprises: a waste production category and a production amount of at least one waste; collecting commodity information consumed by a user; and determining the expected garbage putting information of the user according to the commodity information and the garbage characteristic information of the at least one commodity.

Another embodiment of the present application provides a garbage recycling method, including: acquiring commodity information consumed by a user; determining expected information of garbage putting of the user according to the commodity information; acquiring garbage throwing information of the user; and analyzing whether the user correctly puts the garbage according to the expected garbage putting information and the garbage putting information.

Another embodiment of the present application provides an electronic device including: a processor and a memory, and a program executable by the processor stored in the memory, the program, when executed, causing the processor to perform any of the aforementioned methods of managing spam or when executed, causing the processor to perform any of the aforementioned methods of garbage collection.

Another embodiment of the present application provides a storage medium storing a program executable by a processor, the program, when executed, performing any one of the above-mentioned methods of managing spam generation information, or when executed, performing any one of the above-mentioned methods of spam recycling.

By using the management method, the garbage recycling method, the electronic equipment and the storage medium of the garbage generation information, the whole process from commodity purchase to garbage putting can be effectively monitored, the garbage putting behaviors of users can be effectively monitored and standardized, and the wrong garbage putting behaviors of the users can be limited. Furthermore, a reward and punishment mechanism can be introduced to manage the garbage putting behaviors of the user. Therefore, the garbage classification throwing behaviors of residents can be regulated and restrained in a larger social range by utilizing lower cost according to the situation. And the sorting cost in the garbage recycling process can be reduced, and the pollution of the garbage to the social environment can be further reduced.

Drawings

Fig. 1 is a flowchart illustrating a method for managing spam generation information according to an embodiment of the present application.

Fig. 2 is a flowchart illustrating a method for managing spam generation information according to another embodiment of the present application.

Fig. 3 is a flowchart illustrating a method for managing spam generation information according to another embodiment of the present application.

Fig. 4 shows a flow chart of a garbage collection method according to another embodiment of the present application.

Fig. 5 shows a flow chart of a garbage collection method according to another embodiment of the present application.

Fig. 6 shows a flow chart of a garbage collection method according to another embodiment of the present application.

FIG. 7 shows a block diagram of an electronic device according to an example embodiment.

Detailed Description

The following is a description of embodiments of the present disclosure relating to a method for managing garbage generation information, a garbage collection method, an electronic device, and a storage medium, by specific embodiments, and those skilled in the art can understand the advantages and effects of the present disclosure from the disclosure of the present disclosure. The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention. The drawings of the present invention are for illustrative purposes only and are not intended to be drawn to scale. The following embodiments will further explain the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be understood that the terms "first," "second," "third," and "fourth," etc. in the claims, description, and drawings of the present application are used for distinguishing between different objects and not for describing a particular order. The terms "comprises" and "comprising," when used in the specification and claims of this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the application. As used in the specification and claims of this application, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the specification and claims of this application refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.

As shown in fig. 1, the method 1000 may include: s110, S120 and S130. Wherein

As shown in fig. 1, in S110, spam characteristics information of at least one commodity may be collected, where the spam characteristics information may include: a waste production category and a production amount of at least one type of waste. Alternatively, one commodity may produce one kind of garbage or two or more kinds of garbage. Thus, the spam characteristics information for each commodity may include a type of spam and the amount of such spam generated. The trash characteristic information of each commodity may also include two or more trash categories and the amount of generation of each category of trash.

Optionally, the classification of the trash can be in four categories, which can include, for example, dry trash, wet trash, recyclable trash, and hazardous trash. Alternatively, other sorting criteria may be used to sort the garbage. Alternatively, the garbage classification may include other numbers of garbage categories.

Further, the spam characteristic information of each commodity can also comprise a spam decomposition and classification method of the commodity. For example: the waste produced by a food commodity may need to undergo the following decomposition process: first, it may be necessary to separate the outer packaging of the item from the food residue; then the outer package may need to be further decomposed to obtain at least one of recyclable waste, dry waste and harmful waste; finally, it may be necessary to perform a dry-wet separation of the food residue, resulting in dry and wet waste. Optionally, the garbage feature information may include the above-mentioned decomposition method, and may include the garbage types and the generation amount of each type of garbage involved in the type of commodity. Optionally, the garbage may also be classified according to other classification criteria, and the garbage feature information may be a garbage decomposition classification method designed according to the other classification criteria.

Alternatively, the amount of garbage generated may be a range amount. For example, the amount of garbage generated per type may include an upper limit and a lower limit for the amount of garbage generated per type. Optionally, the amount of each type of garbage generated can be the weight of the type of garbage or the volume of the type of garbage.

As shown in fig. 1, in S120, information of goods consumed by the user may be collected. The commodity information can be extracted from the transaction information by collecting the transaction information of the user and can be used as the commodity information consumed by the user. The transaction information can be acquired by communicating with a commodity transaction platform or commodity transaction software.

Optionally, S120 may include: acquiring two-dimension code information of a commodity; and determining commodity information consumed by the user according to the two-dimension code information. Alternatively, the method 1000 may be executed in a server-side device, and may scan the two-dimensional code of the commodity through a terminal device to obtain two-dimensional code information, and transmit the two-dimensional code information to the server-side device through communication. Alternatively, the two-dimensional code of the commodity may be generated by S110 of the method, may be produced by a manufacturer of the commodity, and may be generated by third-party software.

As shown in fig. 1, in S130, the expected information of the user' S garbage placement may be determined according to the garbage feature information of at least one commodity obtained in S110 and the commodity information consumed by the user obtained in S120. Optionally, spam characteristic information matched with the commodity information consumed by the user can be retrieved from spam characteristic information of at least one commodity. And determining the expected information of the user for the garbage throwing according to the garbage characteristic information.

Optionally, the at least one commodity may have a shelf life, and the waste characteristic information may include waste production characteristic information of the at least one commodity after the shelf life has expired. Further, the commodity information consumed by the user may include a production date of the commodity. Optionally, S130 may include determining whether the commodity has an over-shelf life based on the production date of the commodity and the shelf life of the commodity. And optionally, S130 may further include: if the commodity has the expiration date, the user's expected garbage throwing information can be determined according to the characteristic information of the garbage generation of the commodity after the expiration date.

As shown in fig. 2, method 2000 may include: s210, S220, S230, and S240. Wherein

As shown in FIG. 2, in S210, a merchant merchandise parking request may be received. Alternatively, the method 2000 may be part of a garbage collection management process. In this case, step S210 may be that the merchant requests to incorporate the goods into the garbage collection management system. Alternatively, the method 2000 may be part of a shopping process, and the step S210 may be a request for a spam declaration before the merchandise is placed on shelf. The step S210 can be used to force the commodity into the garbage collection management system before the commodity flows into the market.

As shown in fig. 2, in S220, spam characteristics information of the product related to the parking information may be collected. Alternatively, the commodity parking information may be a request for parking one commodity, or may be a request for parking two or more commodities. Alternatively, the spam characteristics information for each item may be provided by the merchant who sent the item parking request for that item.

Optionally, the spam characteristics information of the merchandise also includes merchandise information of the merchandise. The commodity information can be used as a search condition for searching the spam characteristic information of the commodity. The commodity information of the commodity may include classification information and packaging information of the commodity. The commodity information of the commodity may also include a two-dimensional code of the commodity. The two-dimension code can be generated by the method, can also be produced by a manufacturer of the commodity, and can be generated by third-party software. Optionally, S220 may further include acquiring two-dimensional code information preset on the commodity, and recording the two-dimensional code information as commodity information of the commodity in the spam feature information of the commodity.

Optionally, step S220 may further include generating a two-dimensional code of the embedded commodity, and recording the two-dimensional code as commodity information of the commodity in the spam feature information of the commodity. So as to facilitate the identification of the commodities and the retrieval of the spam characteristic information. Optionally, the same commodity may correspond to the same two-dimensional code, or may correspond to a plurality of two-dimensional codes.

Optionally, step S230 may be similar to step S120, and step S240 may be similar to step S130, which are not described herein again.

As shown in fig. 3, method 3000 may include: s310, S320, S330, S340 and S350.

Wherein

As shown in fig. 3, in S310, a commodity spam characteristic database may be established. The spam characteristic database can be stored in the electronic equipment at the user end and can also be stored in the electronic equipment at the server end.

As shown in fig. 3, S320 may be similar to S110 in fig. 1, or similar to S210 plus S220 in fig. 2, and is not described herein again. Optionally, S320 may be set before S310, or may be set after S320, and may also be performed in synchronization with S310.

As shown in fig. 3, in S330, the spam characteristics information of at least one commodity may be stored in a commodity spam characteristics database. The spam characteristic information of the commodity can include commodity information, and the commodity information can be used as a retrieval condition for retrieving spam characteristic information of a target commodity from a plurality of commodity characteristic information. The commodity information may include a two-dimensional code of the commodity. In S330, the two-dimensional code information of the product may be stored in the product spam characteristic database as a search condition for spam characteristic information of the product.

As shown in fig. 3, step S340 may be similar to step S120 in fig. 1, and is not described herein again.

As shown in fig. 3, in S350, the user' S expected junk placement information may be determined according to the commodity information and the junk feature database of the commodity. The spam characteristics matching the product information can be retrieved from the plurality of spam characteristic information records in the spam characteristic database of the product as spam characteristic delivery expectation information of the user, using the product information acquired in S340 as a retrieval condition.

Alternatively, the method shown in any of fig. 1-3 may be performed by a server or other electronic device involved in spam management functions as at least part of server-side software.

As shown in fig. 4, method 4000 may include: s410, S420, S430 and S440. In S410, information about the product consumed by the user may be acquired. The transaction information of the user may be acquired in S410, and the commodity information may be extracted from the transaction information as the commodity information consumed by the user. Alternatively, the transaction information of the user may be acquired by communicating with transaction software or a transaction device.

Optionally, in S410, the two-dimensional code information preset on the commodity may be acquired, and the commodity information may be determined according to the two-dimensional code information. Alternatively, the two-dimensional code may be generated by a manufacturer of the commodity and printed on the package of the commodity by the manufacturer at the time of production of the commodity. The two-dimensional code can also be generated by a trading platform of the commodity, arranged on trading platform software of the commodity, or printed on an outer package of the commodity. The two-dimensional code can also be generated through garbage management software or a device and printed on the outer package of the commodity.

Optionally, in S410, the two-dimensional code of the commodity may be scanned by a local professional two-dimensional code scanning component, and two-dimensional code information of the commodity is obtained. The image information containing the two-dimensional code of the commodity can be acquired through a local image acquisition component, and the two-dimensional code information is identified in the image information. In S410, two-dimensional code image information of the product may also be acquired through communication transmission, and the two-dimensional code information may be identified in the image information. Alternatively, in S410, the two-dimensional code preset on the commodity may be identified by using a device connected to the local device in communication, so as to obtain the encoded information of the two-dimensional code, and the encoded information may be transmitted to the local device in a communication manner.

In S420, the user' S trash drop expectation information may be determined from the goods information acquired in S410. Alternatively, the garbage throw expectation information throw expectation may include at least one garbage throw category and a garbage throw amount of the at least one garbage throw category. Optionally, a type of commodity matched with the commodity information may be retrieved from preset spam feature information of at least one type of commodity. And determining the expected garbage putting information of the user according to the garbage characteristic information of the commodity. Optionally, the spam feature information of at least one type of goods preset in S420 may be stored locally or in other electronic devices communicatively connected to the local device.

In S430, the user' S spam delivery information may be obtained. The user's garbage throwing information may include: the actual garbage putting type and the actual garbage putting amount of the user. Further, the actual garbage throwing categories may include: the actual garbage throwing type of the household garbage recycling device and the actual garbage throwing type of the community garbage recycling device. The actual garbage input amount may include: the actual garbage input amount of the household garbage recycling device and the actual garbage input amount of the community garbage recycling device.

Alternatively, the user's spam delivery information may be obtained by local sensors. The user's spam delivery information can also be obtained by sensors communicatively coupled to other devices and communicated to the local device.

In S440, whether the user correctly puts the garbage can be analyzed according to the user garbage putting expectation information obtained in S420 and the garbage putting information of the same user obtained in S430. Optionally, S440 may include: and detecting whether the garbage thrown into a preset garbage recycling bin by a user is matched with the garbage category corresponding to the garbage recycling bin or not by using a detection component in communication connection with the local equipment. And may include communicating the detection result to a local device.

Optionally, S440 may include: and analyzing whether the user correctly puts the garbage or not by utilizing at least one piece of user garbage putting expected information and at least one piece of garbage putting information of the same user. Furthermore, whether the user correctly puts the garbage can or not can be analyzed by utilizing a big data algorithm according to at least one piece of user garbage putting expected information and at least one piece of garbage putting information of the same user.

As shown in fig. 5, method 5000 may include: s510, S520, S530, S540, and S550.

Wherein

As shown in fig. 5, in S510, a transaction time corresponding to the acquisition of the commodity information according to the transaction information of the user may be included.

As shown in fig. 5, the user's garbage throw expectation information may include a user's garbage throw time interval. In S520, a user' S garbage throwing time interval may also be determined according to the transaction time. Further, the commodity may have a shelf life, and in S520, the user' S trash drop time interval may be determined according to the transaction time and the shelf life of the commodity.

As shown in fig. 5, in S530, the user may be reminded to put garbage in the user 'S garbage putting time interval according to the user' S garbage putting time interval. Optionally, the reminding information sent in S530 may include a garbage decomposition classification method.

As shown in fig. 5, steps S540 and S550 are similar to steps S430 and S440 shown in fig. 4, respectively, and are not repeated herein.

As shown in fig. 6, the method 6000 may include:

as shown in fig. 6, in S610, it may be determined whether the user correctly puts the garbage according to the garbage putting information of the user. If the user correctly puts garbage, S620 is entered, otherwise S630 is entered. The user's spam delivery information can be obtained according to the method shown in fig. 5 or fig. 6.

As shown in fig. 6, in S620, a first reward may be implemented for the user according to a preset reward punishment. Optionally, the first award may be a cash award or a points award.

As shown in fig. 6, in S630, a first penalty may be imposed on the user according to the preset reward punishment measure. The first penalty may be a cash penalty or a credit penalty.

Alternatively, the first reward and/or the first penalty may be linked to credit information of the user, and may be linked to a personal income tax rate of the user, or may be linked to a social welfare that the user is enjoying or will enjoy in the future.

Optionally, the method 6000 may further include storing the user spam. When the user disagrees with the implemented reward and punishment measures, the stored garbage throwing information of the user can be extracted to be used as a basis for solving the disagreement.

Alternatively, the method illustrated in any of fig. 4-6 may be performed by a server or other electronic device involved in spam management functions as at least part of server-side software. The method can also be used as client software to run on terminal equipment, such as a computer, a mobile phone or a tablet computer.

An electronic device 200 according to this embodiment of the present application is described below with reference to fig. 7. The electronic device 200 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 7, the electronic device 200 is embodied in the form of a general purpose computing device. The components of the electronic device 200 may include, but are not limited to: at least one processing unit 210, at least one memory unit 220, a bus 230 connecting different system components (including the memory unit 220 and the processing unit 210), a display unit 240, and the like.

Wherein the storage unit stores program code executable by the processing unit 210 to cause the processing unit 210 to perform the methods according to various exemplary embodiments of the present application described herein. For example, the processing unit 210 may perform the method as shown in any of fig. 1-3, and may also perform the method as shown in any of fig. 4-6.

The memory unit 220 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)2201 and/or a cache memory unit 2202, and may further include a read only memory unit (ROM) 2203.

The storage unit 220 may also include a program/utility 2204 having a set (at least one) of program modules 2205, such program modules 2205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 230 may be one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 200 may also communicate with one or more external devices 300 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 200, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 200 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 250. Also, the electronic device 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 260. The network adapter 260 may communicate with other modules of the electronic device 200 via the bus 230. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

The present application also provides an embodiment storage medium storing a program executable by a processor, wherein the processor executes any one of the above methods for managing garbage collection information when the program is executed, or executes any one of the above methods for garbage collection when the program is executed.

As will be appreciated by one skilled in the art, aspects of the present application may be embodied as a system, method or computer program product. Accordingly, this application may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to as a "circuit," module "or" system. Furthermore, the present application may take the form of a computer program product embodied in any tangible expression medium having computer-usable program code embodied in the medium.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. The technical features of the embodiments may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the description of the embodiments is only intended to facilitate the understanding of the methods and their core concepts of the present application. Meanwhile, a person skilled in the art should, according to the idea of the present application, change or modify the embodiments and applications of the present application based on the scope of the present application. In view of the above, the description should not be taken as limiting the application.

Claims

1. A management method of garbage generation information comprises the following steps:

collecting spam characteristic information of at least one commodity, wherein the spam characteristic information comprises: a waste production category and a production amount of at least one waste;

collecting commodity information consumed by a user;

and determining the expected garbage putting information of the user according to the commodity information and the garbage characteristic information of the at least one commodity.

2. The method of claim 1, wherein collecting spam characteristics information for at least one commodity comprises:

receiving a commodity parking request of a merchant;

and collecting the rubbish characteristic information of at least one commodity related to the commodity parking request.

3. The method of claim 1, wherein collecting information about goods consumed by a user comprises:

collecting transaction information of a user, and extracting commodity information from the transaction information to be used as commodity information consumed by the user.

4. The method of claim 1, wherein collecting spam characteristics information for at least one commodity comprises:

generating at least one two-dimensional code information of the at least one commodity;

the method for acquiring the commodity information consumed by the user comprises the following steps:

and collecting the two-dimension code information of the commodity, and determining the commodity information consumed by the user according to the two-dimension code information.

5. The method according to at least one of claims 1-4, further comprising:

establishing a commodity rubbish characteristic database;

gather the rubbish characteristic information of at least one kind commodity, include:

storing the garbage characteristic information of the at least one commodity into the commodity garbage characteristic database;

determining the expected information of the user on the garbage putting according to the commodity information and the garbage characteristic information of the at least one commodity, comprising the following steps:

storing the two-dimension code information into the commodity rubbish characteristic database;

and determining expected information of the user for garbage putting according to the commodity information and the commodity garbage characteristic database.

6. A method of waste recovery comprising:

acquiring commodity information consumed by a user;

determining expected information of garbage putting of the user according to the commodity information;

acquiring garbage throwing information of the user;

and analyzing whether the user correctly puts the garbage according to the expected garbage putting information and the garbage putting information.

7. The method of claim 6, wherein the spam delivery expectation information comprises: expected garbage throwing type and expected garbage throwing amount;

the garbage putting information includes: the actual garbage throwing type and the actual garbage throwing amount.

8. The method of claim 7, wherein the actual garbage launch categories include: the actual garbage throwing type of the household garbage recycling device and the actual garbage throwing type of the community garbage recycling device;

the actual garbage input amount comprises: the actual garbage input amount of the household garbage recycling device and the actual garbage input amount of the community garbage recycling device.

9. The method of claim 6, wherein obtaining information about the goods consumed by the user comprises:

acquiring transaction information of the user;

extracting commodity information and transaction occurrence time from the transaction information;

determining expected information of garbage putting of the user according to the commodity information, wherein the information comprises: determining a garbage putting time interval of the user according to the transaction time and the commodity information;

the method further comprises the following steps:

and sending prompt information to the user to remind the user to throw the garbage in the garbage throwing time interval.

10. The method of claim 6, wherein analyzing whether the user correctly delivered spam according to the spam delivery expected information and the spam delivery information comprises:

and analyzing whether the user correctly puts the garbage according to the expected garbage putting information and the garbage putting information by utilizing a big data algorithm.

11. The method of claim 6, further comprising:

if the user correctly puts garbage, implementing a first reward to the user according to a preset reward punishment measure;

and if the user mistakenly puts garbage, implementing a first punishment on the user according to the preset reward punishment measure.

12. The method of claim 11, wherein the first reward comprises: cash rewards and/or points rewards;

the first penalty comprises: cash penalty and/or credit penalty.

13. An electronic device, comprising: processor and memory, and a program executable by the processor stored in the memory, which program, when executed, performs the method of at least one of claims 1 to 5, or

When the program is executed, the processor performs the method of at least one of claims 6-12.

14. A storage medium storing a program executable by a processor, the processor performing the method of at least one of claims 1-5 when the program is executed, or