CN114092156A - Carbon integral interaction method and system for classified garbage throwing or collecting and storage medium - Google Patents
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Abstract
The application relates to a carbon integral interaction method, system and storage medium that rubbish classification was put in or was collected relates to refuse treatment technical field, has solved the endless consumption of recoverable rubbish, influences the problem of holistic carbon emission, and it includes: analyzing and calculating the carbon points exchanged by different types of garbage of the current time based on the preset carbon points exchanged by different types of garbage unit weights and the weight information of corresponding types of garbage, and accumulating and calculating the total carbon points exchanged by the garbage of the current time; sending the total carbon points to an account of the user; the products are ordered. The application has the following effects: through the processing of refuse classification input and collection, effectively help the user to classify to rubbish, make things convenient for follow-up recoverable rubbish to reuse, indirectly reduced carbon and discharged, through the reward system of carbon point, also can effectively encourage the user to give priority to considering recoverable articles for use when purchasing the articles for use moreover.
Description
Technical Field
The present application relates to the field of garbage disposal technologies, and in particular, to a method, a system, and a storage medium for carbon integration interaction in garbage classification delivery or collection.
Background
Today, "low carbon" has become a lifestyle. The consciousness of energy conservation and emission reduction is improved, the life style or consumption consciousness is changed, and the significance for reducing global greenhouse gases is very important. The low-carbon life, energy conservation and environmental protection are beneficial to slowing down the global warming and environmental deterioration.
The existing garbage classification is closely related to low carbon, once the used garbage is mostly unrecoverable garbage, the emission of carbon can be greatly increased due to the modes of combustion and the like required for the garbage treatment,
with respect to the related art in the above, the inventors consider that there are the following drawbacks: the existing users rarely distinguish recoverable garbage from non-recoverable garbage when processing garbage, so that the non-end consumption of the recoverable garbage is caused, and the whole carbon emission is influenced.
Disclosure of Invention
In order to effectively help users classify garbage through garbage classified putting and collecting treatment, the subsequent recyclable garbage can be conveniently reused, carbon emission is indirectly reduced, and the users can be effectively encouraged to give priority to recyclable products when purchasing the products for use through a reward system of carbon points.
In a first aspect, the present application provides a carbon integral interaction method for classified garbage throwing or collecting, which adopts the following technical scheme:
a carbon integral interaction method for classified garbage throwing or collecting comprises the following steps:
identifying and acquiring a user account or acquiring user appointed recovery junk information;
if the user account is identified and obtained, identifying and obtaining garbage classification information poured into the garbage can by the user; if the information that the user appoints to recycle the garbage is obtained, garbage classification information of the collected garbage fed back by a recycling person is obtained, the garbage can be divided into recyclable garbage and non-recyclable garbage, and the garbage classification information comprises the type and weight information of different garbage;
analyzing and calculating the carbon points exchanged by different types of garbage of the current time based on the preset carbon points exchanged by different types of garbage unit weights and the weight information of corresponding types of garbage, and accumulating and calculating the total carbon points exchanged by the garbage of the current time;
sending the total carbon points to an account of the user;
and sorting the products based on the total carbon point condition accumulated by the user at present and the exchange products viewed by the user by clicking the user side, wherein the products comprise entity products and virtual products, and the user side is connected with the block chain platform and is used for the user to exchange the products according to the point contract.
Optionally, ranking the products based on the total carbon points currently accumulated by the user and the redeemed products clicked and viewed by the user includes:
acquiring the total frequency of the converted products clicked and checked by the current user;
ordering the products from top to bottom according to the total frequency at least;
and marking the irrecoverable products with the total frequency which is before the preset sequencing position in the total frequency and belongs to the exchanged products clicked and viewed by the current user.
Optionally, sorting the products from top to bottom according to the total frequency at least comprises:
analyzing and obtaining whether products with the same total frequency exist or not;
if products with the same total frequency exist, acquiring the integral ratio of click check of the corresponding product in the period close to the preset time and the integral ratio of the click check of the corresponding user in the period close to the preset time, and taking the sum of the two integral ratios as influence data of the products;
sequencing the products from top to bottom in sequence according to the influence data from large to small;
if there are no products with the same total frequency, the products are sorted from top to bottom by at least the total frequency.
Optionally, the color labeling of the redeemable product with the total frequency before the preset sorting position and belonging to the currently clicked and viewed redeemable product by the user includes:
acquiring the point difference between the carbon point required by the product which can not be converted temporarily and the carbon point of the current user, and acquiring the corresponding relation of the colors which are inclined to be marked by the user with respect to different point differences;
and marking the non-convertible product with corresponding colors based on the point difference and the corresponding relation of colors which are marked by the user and tend to be marked on different point differences.
Optionally, the obtaining of the correspondence relationship between the colors of the labels that the user tends to label with respect to the different distance scores includes:
acquiring average carbon integrals acquired by a user near a preset number of times and average carbon integrals of the total number of times acquired by the user history;
analyzing and acquiring average carbon integrals acquired by the user near preset times and average values of the average carbon integrals of the total historical acquisition times of the user, and taking the average values as predicted average carbon integrals acquired by the user each time;
if the integral difference exceeds a first preset multiple of the carbon integral obtained by the user at each time, marking the color I inclined by the user;
if the point difference is lower than a first preset multiple of the carbon point obtained by the user in each average and exceeds a second preset multiple of the carbon point obtained by the user in each average, marking the carbon point with a color two which the user tends to;
if the perception of the points is less than a second predetermined multiple of the predicted average number of carbon points taken by the user each time, then the color three to which the user is inclined is marked.
Optionally, the method further includes a step after sending the total carbon points to the account of the user and before sorting the products, specifically as follows:
sending reminding information for reminding a user of paying attention to account carbon point posting information;
acquiring confirmation information for confirming whether account carbon point posting information is correct or not by a user;
if the products are confirmed to be correct, sorting the products;
and if the confirmation is wrong, notifying a responsible person of the dustbin if the confirmation is wrong based on whether the current dustbin has information of other users confirming the mistakes for many times in the adjacent time period, freezing the carbon integral which is already checked in, and tracing the correct value after the dustbin is recovered to be normal to check the correct carbon integral into the account of the user.
Optionally, tracing the correct value after the garbage bin is recovered to be normal includes:
acquiring problem information of the dustbin;
reversely deducing the correct carbon integral of each type of garbage based on the influence coefficients of the problem information on different types of garbage, accumulating to form the correct carbon integral of the corresponding user, and sending the correct carbon integral to the terminal held by the corresponding user for reconfirmation;
if so, the traced carbon integral is confirmed to be the correct value.
In a second aspect, the present application provides a carbon integral interactive system for garbage throwing, which adopts the following technical scheme:
a carbon credit interaction system for garbage collection, comprising a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to implement a carbon credit interaction method for garbage classification collection according to the first aspect.
In a third aspect, the present application provides a computer storage medium, which adopts the following technical solutions:
a computer storage medium comprising a program which is capable of being loaded and executed by a processor to carry out a carbon integration interaction method of garbage classification delivery or collection according to the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a data information acquisition method of a multifunctional power meter based on an internet of things cloud platform according to an embodiment of the present application, and fig. 1 is a schematic overall step diagram of a carbon integral interaction method for classified garbage collection or garbage collection according to an embodiment of the present application.
Fig. 2 is a detailed step diagram of step S400 and step S500 in fig. 1.
FIG. 3 is a schematic diagram showing the detailed steps of step Sc00 in FIG. 2.
Fig. 4 is a detailed step diagram of step S500 in fig. 1.
Fig. 5 is a schematic diagram illustrating the specific step of step S520 in fig. 4.
Fig. 6 is a schematic diagram illustrating the specific step of step S530 in fig. 4.
Fig. 7 is a schematic diagram of the step of acquiring the correspondence relationship between the colors of the labels inclined to the different point differences by the user in step S531 in fig. 6.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include a single feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The present application is described in further detail below with reference to the attached drawings.
Referring to fig. 1, a carbon integration interaction method for classified garbage throwing or collecting disclosed in the present application includes steps S100 to S500.
In step S100, identifying to obtain a user account or obtaining user reservation garbage collection information.
The user account can be obtained by means of face recognition or manual account login.
In step S200, if the user account is identified and acquired, identifying and acquiring garbage classification information of the garbage can poured into by the user; if the information that the user appoints to recycle the garbage is obtained, garbage classification information of the collected garbage fed back by a recycling person is obtained, the garbage can be divided into recyclable garbage and non-recyclable garbage, and the garbage classification information comprises the type and weight information of different garbage.
The acquisition of the types of different garbage can be achieved by adopting a mode of photo recognition after shooting, and the information of the weight can be obtained by weighing recognition after the garbage enters the garbage can and is classified.
The garbage classification information of the collected garbage fed back by the recycling personnel is information feedback made by the recycling personnel after the garbage is collected on site.
In addition to the above classification, there may be garbage classification such as kitchen garbage, other garbage, recyclable garbage, harmful garbage, glass ceramics, and large garbage.
In step S300, the carbon points exchanged by different types of garbage of this time are analyzed and calculated based on the preset carbon points exchanged by different types of garbage per unit weight and the weight information of corresponding types of garbage, and the total carbon points exchanged by garbage of this time are calculated in an accumulated manner.
In step S400, the total carbon points are sent to the account of the user.
Referring to fig. 2, after step S400 and before step S500, there are further steps, specifically including step Sa00 to step Sc 00.
In step Sa00, a reminder message for reminding the user of paying attention to the account carbon point posting message is sent.
The reminding mode can be voice reminding or other reminding modes.
In step Sb00, confirmation information that the user confirms whether the account carbon point posting information is correct is acquired.
In step Sc00, if the product is confirmed to be correct, sorting the products; and if the confirmation is wrong, notifying a responsible person of the dustbin if the confirmation is wrong based on whether the current dustbin has information of other users confirming the mistakes for many times in the adjacent time period, freezing the carbon integral which is already checked in, and tracing the correct value after the dustbin is recovered to be normal to check the correct carbon integral into the account of the user.
Referring to fig. 3, the step Sc00 of tracing back the correct value after the garbage bin is recovered to normal includes steps Sca0 to Scc 0.
In step Sca0, problem information existing in the trash bin is acquired.
In step Scb0, the correct carbon points of each garbage are reversely deduced based on the influence coefficients of the problem information on different types of garbage, and are accumulated to form the correct carbon points of the corresponding users, and the correct carbon points are sent to the terminals held by the corresponding users for reconfirmation.
For example, if the coefficient of influence of the problem nail is 1.5, the original weighed weight is 15 kg, and the actual weighed weight is 10 kg.
In step Scc0, if confirmed, the traced carbon integral is confirmed to be the correct value.
In step S500, based on the total carbon point accumulated by the user at present and the redeemed product viewed by the user by clicking the user side, the products are sorted, where the products include physical products and virtual products, and the user side is connected to the block chain platform and is used for the user to redeem the product using the contract according to the point.
The dummy product mentioned in step S500 may also be iron, stainless steel, wire, etc.
Referring to fig. 4, the step S500 of sorting the products based on the total carbon points accumulated by the user and the redeemed products clicked by the user to view includes steps S510 to S530.
In step S510, the total frequency of the exchanged products clicked and viewed by the user at present is obtained.
In step S520, the products are sorted from top to bottom according to the total frequency.
Referring to fig. 5, step S520 may be divided into steps S521 to S523.
In step S521, whether or not there are products with the same total frequency is analyzed and obtained.
In step S522, if there are products with the same total frequency, acquiring an overall ratio of click check of the corresponding product in a period close to a preset time period and an overall ratio of click check of the corresponding user in the period close to the preset time period, and taking the sum of the two overall ratios as influence data of the product; and sequencing the products from top to bottom in sequence according to the influence data from large to small.
In step S523, if there are no products with the same total frequency, the products are sorted from top to bottom according to the total frequency at least.
In step S530, the products that are not redeemable for the total frequency before the preset ranking position and belong to the redeemed products currently clicked and viewed by the user are color-labeled.
Referring to fig. 6, step S530 may be divided into step S531 to step S532.
In step S531, the point difference between the carbon point required by the product that is temporarily irrecoverable and the current user carbon point is obtained, and the corresponding relationship between the colors of the labels that the user tends to label with respect to the difference between the points is obtained.
Referring to fig. 7, the step S531 of obtaining the corresponding relationship of the colors to be labeled by the user with respect to the different point differences includes steps S531.1 to S531.3.
In step S531.1, the average carbon points acquired in the vicinity of the preset number of times by the user and the average carbon points of the total number of times of user history acquisition are acquired.
In step S531.2, the average of the average carbon integrals obtained by the user near the preset number of times and the average carbon integral of the total number of times of user history acquisition is analyzed and obtained as the predicted average carbon integral obtained by the user each time.
In step S531.3, if the point difference exceeds a first preset multiple of the predicted average carbon point obtained by the user each time, marking with a color one that the user tends to; if the point difference is lower than a first preset multiple of the carbon point obtained by the user in each average and exceeds a second preset multiple of the carbon point obtained by the user in each average, marking the carbon point with a color two which the user tends to; if the perception of the points is less than a second predetermined multiple of the predicted average number of carbon points taken by the user each time, then the color three to which the user is inclined is marked.
For example, the first color may be green, the second color may be yellow, and the third color may be red, but not limited to the above colors.
In step S532, the non-convertible product is labeled with a corresponding color based on the point difference and the corresponding relationship between the colors of the user' S tendency to label the different point differences.
An embodiment of the present invention provides a computer-readable storage medium, which includes a program capable of being loaded and executed by a processor to implement any one of the methods shown in fig. 1-7.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Based on the same inventive concept, an embodiment of the present invention provides a carbon integration interaction system for garbage dumping, including a memory and a processor, where the memory stores a program that can be executed on the processor to implement any one of the methods shown in fig. 1 to 7.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (9)
1. A carbon integral interaction method for classified putting or collecting of garbage is characterized by comprising the following steps:
identifying and acquiring a user account or acquiring user appointed recovery junk information;
if the user account is identified and obtained, identifying and obtaining garbage classification information poured into the garbage can by the user; if the information that the user appoints to recycle the garbage is obtained, garbage classification information of the collected garbage fed back by a recycling person is obtained, the garbage can be divided into recyclable garbage and non-recyclable garbage, and the garbage classification information comprises the type and weight information of different garbage;
analyzing and calculating the carbon points exchanged by different types of garbage of the current time based on the preset carbon points exchanged by different types of garbage unit weights and the weight information of corresponding types of garbage, and accumulating and calculating the total carbon points exchanged by the garbage of the current time;
sending the total carbon points to an account of the user;
and sorting the products based on the total carbon point condition accumulated by the user at present and the exchange products viewed by the user by clicking the user side, wherein the products comprise entity products and virtual products, and the user side is connected with the block chain platform and is used for the user to exchange the products according to the point contract.
2. The carbon point interaction method for garbage classification putting or collecting as claimed in claim 1, wherein the ranking of the products based on the total carbon points accumulated by the user at present and the exchanged products clicked by the user to view comprises:
acquiring the total frequency of the converted products clicked and checked by the current user;
ordering the products from top to bottom according to the total frequency at least;
and marking the irrecoverable products with the total frequency which is before the preset sequencing position in the total frequency and belongs to the exchanged products clicked and viewed by the current user.
3. The method of claim 2, wherein sorting the products from top to bottom according to the total frequency comprises:
analyzing and obtaining whether products with the same total frequency exist or not;
if products with the same total frequency exist, acquiring the integral ratio of click check of the corresponding product in the period close to the preset time and the integral ratio of the click check of the corresponding user in the period close to the preset time, and taking the sum of the two integral ratios as influence data of the products;
sequencing the products from top to bottom in sequence according to the influence data from large to small;
if there are no products with the same total frequency, the products are sorted from top to bottom by at least the total frequency.
4. The carbon integration interaction method for classified putting in or collecting of garbage according to claim 3, wherein the method comprises the following steps: the color labeling of the redeemable product with the total frequency before the preset sorting position and belonging to the redeemable product clicked and viewed by the current user comprises the following steps:
acquiring the point difference between the carbon point required by the product which can not be converted temporarily and the carbon point of the current user, and acquiring the corresponding relation of the colors which are inclined to be marked by the user with respect to different point differences;
and marking the non-convertible product with corresponding colors based on the point difference and the corresponding relation of colors which are marked by the user and tend to be marked on different point differences.
5. The carbon integration interaction method for classified putting in or collecting of garbage according to claim 4, wherein the method comprises the following steps: the acquisition of the corresponding relation of the user about the tendency marking colors of different point differences comprises the following steps:
acquiring average carbon integrals acquired by a user near a preset number of times and average carbon integrals of the total number of times acquired by the user history;
analyzing and acquiring average carbon integrals acquired by the user near preset times and average values of the average carbon integrals of the total historical acquisition times of the user, and taking the average values as predicted average carbon integrals acquired by the user each time;
if the integral difference exceeds a first preset multiple of the carbon integral obtained by the user at each time, marking the color I inclined by the user;
if the point difference is lower than a first preset multiple of the carbon point obtained by the user in each average and exceeds a second preset multiple of the carbon point obtained by the user in each average, marking the carbon point with a color two which the user tends to;
if the perception of the points is less than a second predetermined multiple of the predicted average number of carbon points taken by the user each time, then the color three to which the user is inclined is marked.
6. The carbon point interaction method for garbage classification putting or collecting as claimed in claim 5, further comprising the steps after sending the total carbon points to the user's account and before sorting the products, specifically as follows:
sending reminding information for reminding a user of paying attention to account carbon point posting information;
acquiring confirmation information for confirming whether account carbon point posting information is correct or not by a user;
if the products are confirmed to be correct, sorting the products;
and if the confirmation is wrong, notifying a responsible person of the dustbin if the confirmation is wrong based on whether the current dustbin has information of other users confirming the mistakes for many times in the adjacent time period, freezing the carbon integral which is already checked in, and tracing the correct value after the dustbin is recovered to be normal to check the correct carbon integral into the account of the user.
7. The carbon integral interaction method for classified putting in or collecting garbage according to claim 6, wherein tracing back the correct value after the garbage bin is recovered to normal comprises:
acquiring problem information of the dustbin;
reversely deducing the correct carbon integral of each type of garbage based on the influence coefficients of the problem information on different types of garbage, accumulating to form the correct carbon integral of the corresponding user, and sending the correct carbon integral to the terminal held by the corresponding user for reconfirmation;
if so, the traced carbon integral is confirmed to be the correct value.
8. A carbon-integration interactive system for garbage throwing, comprising a memory, a processor and a program stored in the memory and running on the processor, wherein the program can be loaded and executed by the processor to implement a carbon-integration interactive method for garbage classified throwing or collecting according to any one of claims 1 to 7.
9. A computer storage medium comprising a program which is loadable by a processor and which, when executed, carries out a carbon-score interaction method of garbage-sorting delivery or collection according to any of claims 1 to 7.
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| CN117495401A (en) * | 2023-10-31 | 2024-02-02 | 苏州思萃区块链技术研究所有限公司 | Carbon integral management method and system based on blockchain and carbon-verifiable certificate |
| CN117853100A (en) * | 2024-03-06 | 2024-04-09 | 武汉工程大学 | APP classification recycling supervision method and platform for household garbage classification |
| CN117993898A (en) * | 2024-04-03 | 2024-05-07 | 中兰环保科技股份有限公司 | Carbon sink emission reduction assessment method based on solid waste classified recovery |
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- 2021-11-29 CN CN202111438713.2A patent/CN114092156A/en active Pending
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| CN117253315A (en) * | 2023-11-16 | 2023-12-19 | 福州城投德正数字科技有限公司 | Method and system for paid garbage recovery of intelligent recovery box |
| CN117253315B (en) * | 2023-11-16 | 2024-02-23 | 福州城投德正数字科技有限公司 | Method and system for paid garbage recovery of intelligent recovery box |
| CN117853100A (en) * | 2024-03-06 | 2024-04-09 | 武汉工程大学 | APP classification recycling supervision method and platform for household garbage classification |
| CN117853100B (en) * | 2024-03-06 | 2024-05-28 | 武汉工程大学 | APP classification recycling supervision method and platform for household garbage classification |
| CN117993898A (en) * | 2024-04-03 | 2024-05-07 | 中兰环保科技股份有限公司 | Carbon sink emission reduction assessment method based on solid waste classified recovery |
| CN117993898B (en) * | 2024-04-03 | 2024-07-02 | 中兰环保科技股份有限公司 | Carbon sink emission reduction assessment method based on solid waste classified recovery |
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