Garbage bin door control method and system based on garbage delivery monitoring

Abstract

The invention discloses a garbage can door control method and system based on garbage delivery monitoring, and relates to the technical field of garbage delivery management. Comprising a delivery mode selection module which is used for selecting an autonomous classification delivery mode or a delivery mode after sorting fee payment through code scanning according to user demands; the classified throwing area comprises a garbage identification sub-module, an integral management sub-module and a classified throwing gating sub-module, and is used for realizing autonomous classified throwing and integral management of garbage; the mixed throwing area comprises a weighing processing sub-module, a cost calculation and payment sub-module and a mixed throwing gating sub-module, and payment throwing of garbage which is not easy to distinguish is achieved; and the garbage delivery monitoring module is used for monitoring the garbage delivery condition in real time and providing data support for operation of the whole system. According to the invention, by setting point rewards and access control, the user is stimulated to perform garbage classification consciously, so that the classification accuracy is improved, the garbage mixed throwing condition is reduced, and subsequent garbage treatment and recycling are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage disposal management, and particularly to a control method and system for garbage bin doors based on garbage delivery monitoring. Background Art

[0002] With the acceleration of the urbanization process and the improvement of people's living standards, the amount of garbage generated is increasing day by day, bringing great pressure to urban environmental management and sustainable resource utilization. Traditional garbage disposal methods mainly rely on manual sorting and centralized processing, and there are many problems: The garbage classification is not thorough. The environmental awareness of residents is relatively weak, and there is a lack of effective guidance and supervision mechanisms, resulting in poor implementation of garbage classification. Most residents do not develop the habit of garbage classification and mix various types of garbage for disposal, increasing the difficulty and cost of subsequent processing. For example, in some communities, although garbage classification bins are set up, many people do not dispose of garbage according to the classification requirements, making the garbage classification work a mere formality.

[0003] The garbage disposal efficiency is low. Existing garbage disposal facilities and technologies are often inefficient in dealing with garbage with complex components. Manual sorting not only has a large workload and low efficiency, but may also have a certain impact on the environment and the health of sorting personnel. At the same time, a single disposal method is difficult to meet the disposal needs of different types of garbage, increasing the risk of resource waste and secondary pollution. For example, when some wet garbage is mixed with other garbage, the other garbage also becomes wet, increasing the difficulty of garbage disposal, and a large amount of greenhouse gases will be generated during the decomposition process, polluting the environment.

[0004] After retrieval, the application solution with the Chinese patent application number CN202011533495.6 discloses a garbage disposal management method, system, and device, aiming to solve the problem of excessive garbage storage in local areas of public places in the prior art. The garbage disposal management method provided by the present invention is applicable to the garbage disposal management in public places. The garbage disposal management method in the above patent has the following deficiencies: it cannot manage the classified disposal of personnel well and cultivate the habit of classified disposal of personnel based on the management mechanism. Summary of the Invention

[0005] The purpose of the present invention is to solve the deficiencies existing in the prior art, and to propose a control method and system for garbage bin doors based on garbage delivery monitoring.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: A control system for garbage bin doors based on garbage delivery monitoring, comprising: A delivery mode selection module: used to select an independent classified delivery mode or a delivery mode after scanning the code and paying the sorting fee according to user needs; Classified Delivery Area: It includes a garbage recognition sub-module, an integral management sub-module, and a classified delivery gating sub-module, which realizes the autonomous classified delivery of garbage and integral management; Mixed Delivery Area: It includes a weighing and processing sub-module, a fee calculation and payment sub-module, and a mixed delivery gating sub-module, which realizes the paid delivery of garbage that is not easily distinguishable; Garbage Delivery Monitoring Module: It is used to monitor the garbage delivery situation in real time and provide data support for the operation of the entire system; When the classified delivery area and the mixed delivery area are making deliveries, identity recognition is required. The methods of identity recognition include: identification card recognition, user logging in to the system, and biometric recognition; based on identity recognition, the integral management sub-module manages the corresponding integral accounts.

[0007] Preferably: The delivery mode selection module includes: User Interface Interaction Unit: It is set at a prominent position outside the trash bin and adopts a touch screen or button operation interface to facilitate user operation; users can select the autonomous classified delivery mode or the mode of making a delivery after scanning the code to pay the sorting fee by clicking the corresponding button or touching the screen; Mode Recognition and Signal Transmission Unit: When the user selects the corresponding mode, this unit will recognize the user's selection signal and convert it into an electrical signal for transmission to the core processor of the control system, so as to execute the corresponding operation process according to different modes subsequently.

[0008] Preferably: The garbage recognition sub-module includes: Image Acquisition Unit: It adopts a high-definition camera and is installed above the entrance of the classified delivery area to collect image information of the garbage; Image Preprocessing Unit: It performs preprocessing operations on the collected original images; The Feature Extraction and Classification Unit uses deep learning algorithms to extract features and classify the preprocessed images; during the training process, the garbage images with marked categories are used as the training data set, and the model parameters are continuously optimized through the backpropagation algorithm.

[0009] Preferably: The integral management sub-module includes: Integral Rule Setting Unit: It pre-sets the integral values obtained for the correct classified delivery of different types of garbage; for recyclables, points are obtained for each correct delivery; for hazardous waste, points are obtained for each correct delivery; for kitchen waste, points are obtained for each correct delivery; for other garbage, points can be obtained for each correct delivery, where , , , are different integral coefficients; Integral accumulation and storage unit: When the garbage recognition sub-module determines that the garbage classified by the user is correct, according to the integral value set by the integral rule setting unit, the corresponding integral is accumulated for the user; the integral data is stored in the local database and associated with the user's unique identifier; let the user identifier be , and the user's current integral is . When the user correctly disposes of a certain type of garbage, the new integral is expressed as: , where is the integral coefficient corresponding to the garbage type, and i takes values of 1, 2, 3, and 4 corresponding to recyclables, hazardous waste, kitchen waste, and other waste respectively; When the integral value is paid through the fee calculation and payment sub-module, it is deducted according to the set ratio or rule.

[0010] Preferably: When the integral management sub-module performs integral management, it specifically includes: basic integral acquisition, special integral acquisition, and integral upper limit and decay management; Among them, the basic integral acquisition includes: Garbage classification correct integral: For recyclables, a single correct disposal obtains a basic integral of points; different types of materials set material coefficients , where , and the actual integral is ; A single correct disposal of hazardous waste obtains a basic integral of points; a hazard coefficient is set according to its hazard level , where , and the actual integral is ; A single correct disposal of kitchen waste obtains a basic integral of points; a status coefficient is set for the status of kitchen waste , where , and the actual integral is ; A single correct disposal of other waste obtains a basic integral of points; a complexity coefficient is set according to its complexity , where , and the actual integral is ; Continuous correct disposal integral bonus: If the user continuously days correctly classifies and disposes of garbage, an additional bonus integral can be obtained every day , and the bonus points increase exponentially based on the consecutive days; the specific calculation formula is: .

[0011] Preferably: The special points acquisition includes: Waste reduction points: The system records the weight W of the waste put by the user each time through a weighing sensor; taking 30 days as a cycle, calculate the average daily waste weight of the user within this cycle ; if , obtain waste reduction points ; the calculation method is: points, where represents rounding down; Mistaken throwing correction points: When the user corrects actively within the specified time after misthrowing, give correction points according to the proportion of the correct throwing points that the waste should originally get ; the correction points calculation formula is: , where is the points that should be obtained when throwing correctly, is the points deducted for misthrowing, is the correction coefficient, .

[0012] Preferably: The points upper limit and decay management include: Set the daily points upper limit for each user to be , and the monthly points upper limit to be ; when the user's points reach the upper limit on the same day or in the same month, the extra points will no longer be accumulated; Perform a decay operation on the user's points according to the set time, and the decay ratio is , where ; that is, the user's decayed points and the points before decay have the relationship of: .

[0013] Preferably: The weighing processing sub-module includes: Weight sensor unit: Installed at the bottom or inside of the mixed throwing area, used to measure the weight of the waste put by the user in real time; Weight data transmission unit: Transmit the waste weight data measured by the weight sensor to the core processor of the control system in real time; The fee calculation and payment sub-module includes: Fee calculation model construction unit: Construct a fee calculation model according to the waste weight and the preset charging standard; Payment Interface and Payment Confirmation Unit: Provide multiple payment methods for users to choose from; after the user selects a payment method and completes the payment, the payment interface feeds back the payment result to the control system core processor, and the payment confirmation unit verifies and confirms the payment result; if the payment is successful, a payment confirmation message is generated and sent to the user; if the payment fails, the user is prompted to pay again.

[0014] Preferably: The garbage delivery monitoring module includes: Delivery Monitoring Sensor Unit: Install infrared sensors or ultrasonic sensors in each delivery area of the trash bin to monitor in real time whether there is a garbage delivery behavior; when a garbage delivery is detected, the sensor generates a trigger signal and transmits it to the control system core processor; Data Acquisition and Analysis Unit: Collect and analyze the trigger signals transmitted by the monitoring sensors, and count the number of garbage deliveries in different time periods and the usage frequency information of each delivery area.

[0015] A method for controlling the trash bin door based on garbage delivery monitoring, implemented based on the above control system, includes the following steps: Includes the following steps: S1: When the user approaches the trash bin, perform identity recognition; S2: The user interface interaction unit of the delivery mode selection module is activated. The user selects the independent classification delivery mode through operation and transfers to S211, or transfers to S221 after scanning the code to pay the sorting fee and then delivering; S211: The user puts the garbage into the entrance of the classified delivery area; S212: The image acquisition unit of the garbage recognition sub-module starts to collect garbage images and transmits the image data to the image preprocessing unit for preprocessing; S213: The feature extraction and classification unit extracts features and classifies the preprocessed images to determine whether the garbage is classified correctly; if the classification is correct, the integral management sub-module accumulates corresponding points for the user according to the integral rules; if the classification is incorrect, the system prompts the user to reclassify and deliver through voice prompts or the display screen; S214: When the garbage is recognized correctly and the user's points meet the door opening conditions, the door control logic judgment unit of the classified delivery door control sub-module outputs an opening signal to allow the user to put the garbage into the classified delivery area; otherwise, keep the door closed. If the user re-selects the mode of scanning the code to pay the sorting fee and then delivering, transfer to S221; if the delivery is completed, directly transfer to S3; S221: The user puts the garbage into the entrance of the mixed delivery area, and the weight sensor unit of the weighing processing sub-module measures the weight of the garbage and transmits the weight data to the control system core processor; S222: The fee calculation and payment sub-module calculates the fee that the user needs to pay according to the garbage weight and the preset charging standard, and prompts the user to make a payment through the payment interface; S223: After the user selects a suitable payment method to complete the payment, the payment confirmation unit verifies and confirms the payment result; if the payment is successful, the door control logic judgment unit of the mixed delivery door control sub-module outputs an opening signal to allow the user to put the garbage into the mixed delivery area; if the payment fails, the user is prompted to make a re-payment; after the delivery is completed, it proceeds to S3; S3: The garbage delivery monitoring module monitors the garbage delivery situation in real time throughout the process, collects and analyzes relevant data, and transmits the data to the core processor of the control system.

[0016] The beneficial effects of the present invention are: By setting up integral rewards and access control, the present invention encourages users to voluntarily classify garbage, improves the classification accuracy rate, reduces the situation of mixed garbage delivery, and facilitates subsequent garbage treatment and recycling. The present invention is equipped with a weighing sensor and a machine vision system to realize automatic identification, weighing and recording of garbage delivery, reduce the manual management cost, improve the efficiency, and increase the user participation degree based on the formulation of payment rules and integral rules, cultivate the long-term and stable environmental protection behavior habits of users, and promote the development of the environmental protection cause of the whole society. The data analysis collected by the present invention can provide a strong basis for formulating environmental protection policies, optimizing the layout of garbage treatment facilities, etc., and the real-time monitoring and data transmission functions help the management personnel to timely understand the garbage delivery situation and optimize the resource allocation. Description of the Drawings

[0017] Figure 1 It is a flowchart of the garbage bin door control method based on garbage delivery monitoring proposed by the present invention. Detailed Embodiment

[0018] The technical solution of the present invention will be further described in detail below in combination with the specific embodiments.

[0019] Embodiment 1: The garbage bin door control system based on garbage delivery monitoring includes: Delivery mode selection module: used to select the independent classification delivery mode or the delivery mode after scanning the code to pay the sorting fee according to the user's needs; Classification delivery area: including a garbage identification sub-module, an integral management sub-module and a classification delivery door control sub-module, realizing the independent classification delivery of garbage and integral management; Mixed delivery area: including a weighing and processing sub-module, a fee calculation and payment sub-module and a mixed delivery door control sub-module, realizing the paid delivery of garbage that is not easy to distinguish; Garbage delivery monitoring module: used to monitor the garbage delivery situation in real time and provide data support for the operation of the whole system; The classified delivery area and the mixed delivery area require identity recognition when delivering, and the identity recognition methods include: identification card recognition, user login system, biometric recognition, etc., which will not be elaborated here; based on identity recognition, the points management submodule manages the corresponding points account.

[0020] Wherein, the delivery mode selection module includes: User interface interaction unit: It is set in a conspicuous position outside the trash can, and adopts a touch screen or button-type operation interface to facilitate user operation; users can select the self-classification delivery mode or the delivery mode after scanning the code to pay the sorting fee by clicking the corresponding button or touching the screen; Mode recognition and signal transmission unit: When the user selects the corresponding mode, this unit will recognize the user's selection signal and convert it into an electrical signal and transmit it to the core processor of the control system so that the corresponding operation process can be executed according to different modes.

[0021] Wherein, the garbage identification submodule includes: Image acquisition unit: A high-definition camera is installed above the entrance of the classified disposal area to collect image information of garbage; Image preprocessing unit: performs preprocessing operations such as denoising, enhancement, and cropping on the collected original images to improve the image quality and the accuracy of feature extraction.

[0022] Among them, the feature extraction and classification unit uses a deep learning algorithm to extract features and classify the preprocessed image; assuming that the feature vector after feature extraction is V, and the classification model is C, the garbage category judgment result R is expressed as: R=C(V), wherein C is a trained classification model, and its training process uses garbage images with labeled categories as training data sets, and continuously optimizes model parameters through the back propagation algorithm to improve the classification accuracy.

[0023] Wherein, the points management submodule includes: Points rule setting unit: pre-sets the points value obtained by correctly sorting and placing different types of garbage; for example, for recyclables, each correct placement can get points. points; for hazardous waste, you can get points; for kitchen waste, you can get points; for other garbage, you can get points, among which , , , are different integral coefficients and satisfy ; Integral Accumulation and Storage Unit: When the garbage recognition sub-module determines that the garbage classified by the user is correct, according to the integral value set by the integral rule setting unit, corresponding integral is accumulated for the user; the integral data is stored in the local database and associated with the user's unique identifier (such as QR code, IC card, etc.); let the user identifier be , and the user's current integral is . When the user correctly disposes of a certain type of garbage, the new integral can be expressed as: , where is the integral coefficient corresponding to the garbage type, and i takes values of 1, 2, 3, and 4 corresponding to recyclables, hazardous waste, kitchen waste, and other waste respectively; When the integral value is paid through the fee calculation and payment sub-module, it is deducted according to the set ratio or rule.

[0024] Among them, when the integral management sub-module conducts integral management, it specifically includes: basic integral acquisition, special integral acquisition, and integral upper limit and attenuation management; Among them, the basic integral acquisition includes: Integral for correct garbage classification: For recyclables, a single correct disposal can obtain a basic integral of points. However, considering the differences in the recycling value of different types of recyclables, such as paper, plastic, metal, etc., a material coefficient is set according to their materials, where , and the actual integral is .

[0025] A single correct disposal of hazardous waste can obtain a basic integral of points. At the same time, considering the different potential harm degrees of hazardous waste to the environment, such as batteries, expired medicines, etc., a harm coefficient is set according to their harm levels, where , and the actual integral is .

[0026] A single correct disposal of kitchen waste can obtain a basic integral of points. Due to the differences in the freshness and treatment difficulty of kitchen waste, a state coefficient is set according to its state, where , and the actual integral is .

[0027] A single correct disposal of other waste can obtain a basic integral of points. Considering the mixing situation of other waste, a complexity coefficient is set according to its complexity, where , and the actual integral is 。

[0028] Continuous correct placement integral bonus: If the user continuously days correctly classifies and places garbage, an additional bonus integral can be obtained every day , and the bonus integral increases exponentially according to the continuous number of days; the specific calculation formula is: ; for example, if the placement is correct for 3 consecutive days, the bonus integral is 。

[0029] Among them, the special integral acquisition includes: Garbage reduction integral: The system records the weight W (unit: kilogram) of the garbage placed by the user each time through a weighing sensor; taking one month (30 days) as a cycle, calculate the average daily garbage weight of the user within this cycle If , it means that the user has achieved garbage reduction within this cycle and can obtain garbage reduction integral ; the calculation method is: points, where represents rounding down; Misplacement correction integral: When the user actively corrects after misplacing within the specified time (such as within 1 hour), a correction integral can be given according to a certain proportion of the correct placement integral that the garbage originally should have obtained ; the correction integral calculation formula is: , where is the integral that should be obtained when placed correctly, is the integral deducted for misplacement, is the correction coefficient 。

[0030] Among them, the integral upper limit and decay management include: Set the daily integral upper limit for each user to , and the monthly integral upper limit to . When the user's daily or monthly integral reaches the upper limit, the excess integral will no longer be accumulated. The integral upper limit can be adjusted according to the system operation situation and actual needs. For example, the initial value of the daily integral upper limit is 100 points, and the initial value of the monthly integral upper limit is 3000 points; In order to prevent users from accumulating a large amount of integral for a long time without using it in time, resulting in the imbalance of the integral system, an integral decay mechanism is introduced. At the end of each month, a decay operation is performed on the user's integral, and the decay ratio is , where . That is, the user's integral at the beginning of the next month and the integral at the end of the previous month The relationship is as follows: .

[0031] Among them, the weighing processing sub-module includes: Weight sensor unit: Installed at the bottom or inside of the mixed delivery area, used to measure the weight of the garbage put by users in real time; Weight data transmission unit: Transmits the garbage weight data measured by the weight sensor to the core processor of the control system in real time for subsequent cost calculation and payment processing.

[0032] Among them, the cost calculation and payment sub-module includes: Cost calculation model construction unit: Constructs a cost calculation model according to the garbage weight and the preset charging standard; assuming the charging standard is c yuan per kilogram of garbage, the cost F (unit: yuan) that the user needs to pay can be expressed as: F = c×W, where W is the garbage weight (kilogram) and c is the charging standard (yuan / kg); Payment interface and payment confirmation unit: Provides multiple payment methods for users to choose, such as WeChat payment, Alipay payment, etc.; when the user selects a payment method and completes the payment, the payment interface feeds back the payment result to the core processor of the control system, and the payment confirmation unit verifies and confirms the payment result; if the payment is successful, a payment confirmation message is generated and sent to the user; if the payment fails, the user is prompted to pay again.

[0033] Among them, the garbage delivery monitoring module includes: Delivery monitoring sensor unit: Installs monitoring devices such as infrared sensors or ultrasonic sensors in each delivery area of the trash bin (including the classified delivery area and the mixed delivery area) to monitor in real time whether there is a garbage delivery behavior; when a garbage delivery is detected, the sensor generates a trigger signal and transmits it to the core processor of the control system; Data acquisition and analysis unit: Acquires and analyzes the trigger signals transmitted by the monitoring sensors, and statistics information such as the number of garbage deliveries in different time periods and the usage frequency of each delivery area; through the analysis of these data, the rules and trends of garbage delivery can be understood, providing a decision-making basis for the management and maintenance of the trash bin.

[0034] Embodiment 2: The trash bin door control method based on garbage delivery monitoring is implemented based on the control system, and includes the following steps: S1: When the user approaches the trash bin, perform identity recognition; S2: The user interface interaction unit of the delivery mode selection module is started, and the user selects the independent classification delivery mode by operation and transfers to S211, or transfers to S221 after scanning the code to pay the sorting fee and then delivering; S211: The user puts the garbage into the entrance of the classified dropping area; S212: The image acquisition unit of the garbage recognition sub-module starts to acquire the garbage image and transmits the image data to the image preprocessing unit for preprocessing; S213: The feature extraction and classification unit extracts features and classifies the preprocessed image to determine whether the garbage is correctly classified; if it is correctly classified, the integral management sub-module accumulates the corresponding integral for the user according to the integral rule; if it is misclassified, the system prompts the user to reclassify and drop through voice prompt or display; S214: When the garbage is correctly recognized and the user's integral meets the door opening condition, the door control logic judgment unit of the classified dropping door control sub-module outputs an opening signal to allow the user to put the garbage into the classified dropping area; otherwise, keep the door closed. If the user re-selects the mode of scanning code to pay the sorting fee and then drops, go to S221; if the dropping is completed, directly go to S3; S221: The user puts the garbage into the entrance of the mixed dropping area, and the weight sensor unit of the weighing processing sub-module measures the weight of the garbage and transmits the weight data to the core processor of the control system; S222: The fee calculation and payment sub-module calculates the fee that the user needs to pay according to the garbage weight and the preset charging standard, and prompts the user to make a payment through the payment interface; S223: After the user selects a suitable payment method to complete the payment, the payment confirmation unit verifies and confirms the payment result; if the payment is successful, the door control logic judgment unit of the mixed dropping door control sub-module outputs an opening signal to allow the user to put the garbage into the mixed dropping area; if the payment fails, prompt the user to pay again; after the dropping is completed, go to S3; S3: The garbage delivery monitoring module monitors the garbage delivery situation in real time throughout the process, collects and analyzes relevant data, and transmits the data to the core processor of the control system.

[0035] The above is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent replacement or change, and should be covered by the protection scope of the present invention.

Claims

1. A garbage bin door control system for a garbage disposal management method based on garbage delivery monitoring, characterized in that, Including: Delivery mode selection module: used to select the independent classification delivery mode or the delivery mode after scanning the code to pay the sorting fee according to user needs; Classification delivery area: including a garbage recognition sub-module, an integral management sub-module and a classification delivery gating sub-module, to realize the independent classification delivery and integral management of garbage; Mixed delivery area: including a weighing processing sub-module, a fee calculation and payment sub-module and a mixed delivery gating sub-module, to realize the paid delivery of garbage that is not easy to distinguish; Garbage delivery monitoring module: used to monitor the garbage delivery situation in real time and provide data support for the operation of the entire system; When the classification delivery area and the mixed delivery area are making deliveries, identity recognition is required. The methods of identity recognition include: identification card recognition, user logging in to the system, and biometric recognition; Based on identity recognition, the integral management sub-module manages the corresponding integral accounts.

2. The dustbin door control system based on garbage delivery monitoring according to claim 1, wherein The delivery mode selection module includes: User interface interaction unit: set at a prominent position outside the trash can, using a touch screen or button operation interface to facilitate user operation; the user selects the independent classification delivery mode or the delivery mode after scanning the code to pay the sorting fee by clicking the corresponding button or touching the screen; Mode recognition and signal transmission unit: when the user selects the corresponding mode, this unit will recognize the user's selection signal and convert it into an electrical signal and transmit it to the core processor of the control system for subsequent execution of the corresponding operation process according to different modes.

3. The dustbin door control system based on garbage delivery monitoring according to claim 2, characterized in that, The garbage recognition sub-module includes: Image acquisition unit: using a high-definition camera, installed above the entrance of the classification delivery area, for acquiring image information of garbage; Image preprocessing unit: performing preprocessing operations on the acquired original images; The feature extraction and classification unit uses deep learning algorithms to extract features and classify the preprocessed images; the training process uses labeled garbage images as the training data set, and continuously optimizes the model parameters through the backpropagation algorithm.

4. The dustbin door control system based on garbage delivery monitoring according to claim 3, characterized in that, The integral management sub-module includes: Point rule setting unit: preset the point values obtained for correctly classifying and disposing of different types of garbage; for recyclables, points are obtained for each correct disposal; for hazardous waste, points are obtained for each correct disposal; for kitchen waste, points are obtained for each correct disposal; for other waste, points are obtained for each correct disposal, where , , , are different point coefficients; Integral Accumulation and Storage Unit: When the garbage recognition sub-module determines that the garbage classified by the user is correct, accumulate the corresponding integral for the user according to the integral value set by the integral rule setting unit; the integral data is stored in the local database and associated with the user's unique identifier; let the user identifier be , and the user's current integral is . After the user correctly disposes of a certain type of garbage, the new integral is expressed as: , where is the integral coefficient corresponding to the garbage type, and i takes values of 1, 2, 3, and 4 corresponding to recyclables, hazardous waste, kitchen waste, and other waste respectively; When the integral value is paid through the fee calculation and payment sub-module, it is deducted according to the set ratio or rules.

5. The dustbin door control system based on garbage delivery monitoring according to claim 4, characterized in that, When the integral management sub-module is performing integral management, it specifically includes: basic integral acquisition, special integral acquisition, and integral upper limit and decay management; Among them, the basic integral acquisition includes: Correct garbage classification integral: For recyclables, the correct placement once earns basic points points; different types of materials are set with material coefficients , among which , the actual score is ; The correct disposal of hazardous waste once earns basic points points; a hazard coefficient is set according to its hazard level , where , the actual score is ; The basic points are obtained for a single correct disposal of kitchen waste points; the status coefficient of the kitchen waste status is set , where , and the actual points are ; Other garbage gets basic points for each correct single-time disposal points; a complexity coefficient is set according to its complexity , where , the actual points are ; Continuous correct delivery integral bonus: If the user correctly classifies and disposes of garbage continuously for days, they will receive additional bonus points every day , and the bonus points increase exponentially based on the number of consecutive days; the specific calculation formula is: .

6. The dustbin door control system based on garbage delivery monitoring according to claim 5, wherein The special integral acquisition includes: Garbage reduction integral: The system records the weight W of the garbage put by the user each time through a weighing sensor; with a 30-day cycle, calculate the average daily garbage weight of the user within this cycle ; If , obtain garbage reduction integral ; The calculation method is: points, where means rounding down; Wrong delivery correction integral: If the user corrects the mistake actively within the specified time after making a wrong placement, corrective points will be given in proportion to the correct placement points that the garbage should have received originally. The calculation formula for corrective points is: , where is the points that should be obtained for correct placement, is the points deducted for wrong placement, is the correction coefficient, .

7. The dustbin door control system based on garbage delivery monitoring according to claim 6, wherein The integral upper limit and decay management includes: Set the daily integral limit for each user to be , and the monthly integral limit to be ; when the user's daily or monthly integral reaches the limit, the excess integral will no longer be accumulated; Perform a decay operation on the user's points according to the set time, and the decay ratio is , where ; that is, the user's points after decay and the points before decay have the following relationship: .

8. The garbage bin door control system based on garbage delivery monitoring according to claim 7, characterized in that, The weighing processing sub-module includes: Weight sensor unit: installed at the bottom or inside of the mixed delivery area, for measuring the weight of the garbage put in by the user in real time; Weight data transmission unit: transmitting the garbage weight data measured by the weight sensor to the core processor of the control system in real time; The fee calculation and payment sub-module includes: Fee calculation model construction unit: constructing a fee calculation model according to the garbage weight and the preset charging standard; Payment Interface and Payment Confirmation Unit: Provide multiple payment methods for users to choose from; when the user selects a payment method and completes the payment, the payment interface feeds back the payment result to the core processor of the control system, and the payment confirmation unit verifies and confirms the payment result; if the payment is successful, a payment confirmation message is generated and sent to the user; if the payment fails, the user is prompted to pay again.

9. The dustbin door control system based on garbage delivery monitoring according to claim 8, characterized in that, The garbage delivery monitoring module includes: Delivery Monitoring Sensor Unit: Install infrared sensors or ultrasonic sensors in each delivery area of the trash bin to monitor in real time whether there is a garbage delivery behavior; when a garbage delivery is detected, the sensor generates a trigger signal and transmits it to the core processor of the control system; Data Acquisition and Analysis Unit: Collect and analyze the trigger signals transmitted by the monitoring sensors, and count the number of garbage deliveries in different time periods and the usage frequency information of each delivery area.

10. A method for controlling a dustbin door based on garbage delivery monitoring, characterized in that, The implementation of the control system according to any one of claims 1-9 includes the following steps: S1: When the user approaches the trash bin, perform identity recognition; S2: The user interface interaction unit of the delivery mode selection module is activated. The user selects the independent classification delivery mode through operation and transfers to S211, or selects the delivery mode after scanning the code to pay the sorting fee and transfers to S221; S211: The user puts the garbage into the entrance of the classified delivery area; S212: The image acquisition unit of the garbage recognition sub-module starts to collect garbage images and transmits the image data to the image preprocessing unit for preprocessing; S213: The feature extraction and classification unit extracts features and classifies the preprocessed images to determine whether the garbage is classified correctly; If the classification is correct, the integral management sub-module accumulates corresponding points for the user according to the integral rules; if the classification is incorrect, the system prompts the user to reclassify and deliver through voice prompts or the display screen; S214: When the garbage is recognized correctly and the user's points meet the door opening conditions, the door control logic judgment unit of the classified delivery door control sub-module outputs an opening signal to allow the user to put the garbage into the classified delivery area; otherwise, keep the door closed. If the user re-selects the delivery mode after scanning the code to pay the sorting fee, transfer to S221; if the delivery is completed, directly transfer to S3; S221: The user puts the garbage into the entrance of the mixed delivery area, and the weight sensor unit of the weighing processing sub-module measures the weight of the garbage and transmits the weight data to the core processor of the control system; S222: The fee calculation and payment sub-module calculates the fee that the user needs to pay according to the garbage weight and the preset charging standard, and prompts the user to make a payment through the payment interface; S223: After the user selects a suitable payment method to complete the payment, the payment confirmation unit verifies and confirms the payment result; if the payment is successful, the door control logic judgment unit of the mixed delivery door control sub-module outputs an opening signal to allow the user to put the garbage into the mixed delivery area; if the payment fails, prompt the user to pay again; after the delivery is completed, transfer to S3; S3: The garbage delivery monitoring module monitors the garbage delivery situation in real time throughout the process, collects and analyzes relevant data, and transmits the data to the core processor of the control system.

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