Intelligent garbage classification cabinet system with polymorphic response mechanism

Abstract

The invention discloses an intelligent garbage classification cabinet system with a polymorphic response mechanism. The intelligent garbage classification cabinet system comprises a cabinet main body; the crushing module is arranged on the upper portion of the cabinet body and comprises an induction module, a driving mechanism and a crushing assembly, and the induction module is used for detecting physical characteristics of garbage; the classified storage module is arranged at the lower part of the cabinet main body and comprises a plurality of classified containers, and the inlets of the classified containers are respectively provided with an environment sensing module and a harmful garbage detection port; the oil fume treatment unit comprises a separation cavity, an oil collection assembly and an automatic oil discharge mechanism, and a vortex generation structure is arranged in the separation cavity; and the control unit is used for controlling the garbage treatment actions of the crushing module, the classified storage module and the oil fume treatment unit and guiding the garbage classification management behavior of a user. Automatic classification of dry or wet or harmful garbage is achieved through the classified storage module and a plurality of sensors, the oil fume treatment unit separates oil drops through a vortex generation structure, oil is automatically discharged, accumulation is avoided, and the operation burden is reduced.

Description

Technical Field

[0001] The present invention relates to intelligent kitchen waste, and in particular to an intelligent waste sorting cabinet system with a polymorphic response mechanism. Background Art

[0002] With the acceleration of urbanization and rising environmental awareness, the scientific classification and resource utilization of food waste has become a crucial issue for social development. Due to a lack of understanding of classification standards among users, resulting in a high rate of misplaced food waste, traditional food waste disposal relies primarily on manual sorting and centralized transportation. The few existing cabinets with integrated shredders only offer basic shredding functions, lacking parameter optimization for different types of food waste and grease pre-separation mechanisms. Oil fume separation often requires separate piping or external equipment, resulting in a low level of integration. Furthermore, existing cabinet systems primarily rely on passive storage and lack real-time monitoring and feedback capabilities. For example, they lack real-time warnings for humidity, grease content, and capacity status, making timely maintenance and cleaning difficult. Summary of the Invention

[0003] In order to overcome the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide an intelligent garbage sorting cabinet system with a polymorphic response mechanism that can realize the precise crushing, classification, oil fume separation and real-time monitoring of kitchen waste, improve garbage disposal efficiency, and form a sustainable community operation ecology, so as to solve the problems raised by the above-mentioned background technology.

[0004] The technical solution adopted by the present invention to solve the technical problem is: an intelligent garbage sorting cabinet system with a polymorphic response mechanism, comprising:

[0005] Cabinet body;

[0006] The crushing module is located on the upper part of the cabinet body and includes a sensing module, a driving mechanism and a crushing assembly. The sensing module is used to detect the physical characteristics of the garbage;

[0007] The classification storage module is located at the bottom of the cabinet body and contains multiple classification containers. The entrances of the multiple classification containers are respectively equipped with environmental sensing modules and hazardous waste detection ports. The type of garbage is determined by the hazardous waste detection port equipped with integrated visual recognition, density determination and a human-computer interaction confirmation interface;

[0008] The oil fume treatment unit comprises a separation chamber, an oil collecting assembly and an automatic oil discharge mechanism, wherein a vortex generating structure is provided in the separation chamber;

[0009] A control unit controls the garbage processing actions of the crushing module, the classification storage module and the oil fume treatment unit, and guides the user's garbage classification management behavior.

[0010] As a further improvement of the present invention: the cabinet body adopts a modular space layout made of stainless steel material, the cabinet body is also provided with a power supply and a drainage interface, the crushing module has a sound-proof, vibration-proof shell, the crushing assembly is provided with a bevel crushing blade assembly, the sensing module includes a weight sensor and a visual recognition module, the driving mechanism is a DC brushless motor, the DC brushless motor controls the crushing action of the bevel crushing blade assembly, and the DC brushless motor dynamically controls the speed according to the garbage weight obtained by the weight sensor and the garbage shape obtained by the visual recognition module.

[0011] As a further improvement of the present invention: the classification container includes a dry storage box, a wet storage box, a recyclable box and a hazardous storage box; the feed ports of the dry storage box, the wet storage box, the recyclable box and the hazardous storage box are respectively provided with a grease sensing device, a humidity monitoring sensor and a hazardous waste detection port; the hazardous waste detection port integrates a visual recognition module, a weight density judgment unit and a confirmation interface; the hazardous waste detection port determines the input of hazardous waste through image comparison and density calculation and triggers user confirmation; the grease sensing device is used to detect grease adhesion on the flowing material; the humidity monitoring sensor is used to detect the humidity of the material; each box body is also provided with a feed diversion groove and a sealing door at the groove.

[0012] As a further improvement of the present invention: the oil fume treatment unit is arranged at the bottom of the cabinet body, including an oil fume diversion channel, a grease sedimentation chamber, a liquid level sensor and an automatic oil discharge control valve. A vortex separation chamber is provided in the oil fume diversion channel, and an arc-shaped guide plate is provided in the oil fume diversion channel. The grease sedimentation chamber includes a multi-stage sedimentation grid. After vortex separation, the oil droplets are deposited along the grid to the oil collecting tank. When the oil level reaches a preset height, the automatic oil discharge control valve is triggered.

[0013] As a further improvement of the present invention: the control unit controls the garbage processing actions of the crushing module, the classification storage module and the oil fume treatment unit, including:

[0014] Dynamically adjust the speed of the brushless DC motor according to the garbage weight obtained by the weight sensor and the garbage shape data obtained by the visual recognition module;

[0015] Control the material diversion path based on the output signals of the visual recognition module, weight density judgment unit, humidity monitoring sensor and grease sensing device;

[0016] When the oil level reaches the preset level, the automatic oil drain control valve is triggered.

[0017] As a further improvement of the present invention: the weight density judgment unit calculates the garbage density ρ by the weight data obtained by the weight sensor and the volume data of the garbage form obtained by the visual recognition module. If ρ>2.5-3g / cm3, by presetting the recyclable material data in the control unit, if the visual recognition module does not match the recyclable material in the control unit, it is determined to be suspected hazardous waste and the confirmation interface is activated.

[0018] As a further improvement of the present invention: the controlling of the material diversion path includes: when the control unit performs dry garbage or wet garbage diversion according to the humidity monitoring sensor or the grease sensing device, if the detection value of the humidity monitoring sensor is ≥60%RH or the grease sensing device detects the adhesion of an oil film, the material is directed to the wet storage box; otherwise, the material is directed to the dry storage box or the recyclable box according to the visual recognition result of the visual recognition module;

[0019] The hazardous waste image data and density data are preset in the control unit;

[0020] The visual recognition module compares harmful garbage image data and marks it as suspected harmful if the similarity is ≥85%;

[0021] The weight density judgment unit calculates the density ρ. If ρ is greater than the preset density data, it is marked as suspected harmful.

[0022] When the flag is triggered, a dialog box will pop up on the confirmation interface. After the user confirms, the harmful storage box will be imported. If there is no response after the timeout, the dry storage box will be imported by default.

[0023] As a further improvement of the present invention: the method of guiding the user to manage garbage classification includes:

[0024] Classification guidance module, providing classification prompts through the interactive interface;

[0025] Behavior collection module, recording delivery category, weight and user confirmation results;

[0026] The error feedback module compares the predicted category with the actual diversion target. If there is any inconsistency, the diversion is suspended and a correction prompt is given;

[0027] The behavior incentive module generates points and ranking data based on the number of correct classifications.

[0028] As a further improvement of the present invention: the classification guidance module automatically highlights the icon of the corresponding garbage category when detecting that the user is approaching the placement port, and prompts the user with a voice prompt to the correct placement location if the user makes a mistake;

[0029] When the error feedback module detects a classification error, it suspends diversion and temporarily stores the material in an independent recycling bin. At the same time, it pops up prompts and voice correction instructions through the interactive panel, and performs classification again after the user re-inserts the material.

[0030] After the classified delivery is completed, the control unit will generate a log and store it locally. The log includes the resident ID, timestamp, predicted category, final category, delivery weight, moisture %, grease %, and whether an error has been corrected.

[0031] The fields of the log are checked by CRC32 to generate a 32-bit unique number UID, which is simultaneously printed on a thermal label and dropped into the trash can together with the packaging bag for easy tracing by scanning the code in the corridor.

[0032] As a further improvement of the present invention: the behavior incentive module includes point calculation and incentive display;

[0033] The integral calculation includes the following process:

[0034] Basic points: +1 point for each correct classification for the first time;

[0035] Combo Bonus: +2 points for 5 correct hits in a row; restart the count after an interruption;

[0036] The incentive display includes:

[0037] If the accumulated points in a natural month are ≥50, the virtual medal will be automatically unlocked;

[0038] Points and medals are displayed in real time on the main touch screen interface of the human-computer interaction and uploaded to the cloud; the cloud platform summarizes data by region / community, generates monthly category rankings, and pushes them through the App.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] This application integrates a crushing module, a classification and storage module, an oil fume treatment unit and a control unit into the cabinet body. The crushing module dynamically adjusts the crushing parameters according to the garbage weight obtained by the weight sensor and the garbage shape obtained by the visual recognition module. The classification and storage module realizes automatic classification of dry, wet or hazardous garbage through multiple sensors. The oil fume treatment unit separates oil droplets through the eddy current generating structure and automatically drains oil to avoid accumulation. It also enhances user classification initiative through guided feedback incentives and reduces operational burdens. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the system framework structure of the present invention.

[0042] Figure 2 This is a schematic diagram of the waste treatment classification process of the system of the present invention. DETAILED DESCRIPTION

[0043] In order to enable a clear and complete understanding of the technical solution, the present invention is further described in conjunction with the embodiments and drawings. Obviously, the described embodiments are only some embodiments of the present invention, and all other embodiments obtained by technical personnel in the relevant field without making creative work are within the scope of protection of the present invention.

[0044] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described 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.

[0045] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0046] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0047] An embodiment of the present invention provides an intelligent garbage sorting cabinet system with a polymorphic response mechanism, comprising:

[0048] Cabinet body;

[0049] The crushing module is located on the upper part of the cabinet body and includes a sensing module, a driving mechanism and a crushing assembly. The sensing module is used to detect the physical characteristics of the garbage;

[0050] The classification storage module is located at the bottom of the cabinet body and contains multiple classification containers. The entrances of the multiple classification containers are respectively equipped with environmental sensing modules and hazardous waste detection ports. The type of garbage is determined by the hazardous waste detection port equipped with integrated visual recognition, density determination and a human-computer interaction confirmation interface;

[0051] The oil fume treatment unit comprises a separation chamber, an oil collecting assembly and an automatic oil discharge mechanism, wherein a vortex generating structure is provided in the separation chamber;

[0052] A control unit controls the garbage processing actions of the crushing module, the classification storage module and the oil fume treatment unit, and guides the user's garbage classification management behavior.

[0053] This application integrates a crushing module, a classification storage module, an oil fume treatment unit and a control unit into the cabinet body. The crushing module dynamically adjusts the crushing parameters according to the garbage weight obtained by the weight sensor and the garbage shape obtained by the visual recognition module. The classification storage module realizes automatic classification of dry, wet or hazardous garbage through multiple sensors. The oil fume treatment unit separates oil droplets through the eddy current generating structure and automatically drains oil to avoid accumulation. It also enhances user classification initiative and reduces operational burden through guided feedback incentives. The cabinet body structure is made of stainless steel, and the upper and lower areas are separated by partitions, with a front power supply and drainage interface. This application is an intelligent garbage classification cabinet system with a compact structure, high functional integration, multi-state response, closed-loop control and user behavior-driven mechanism to achieve precise crushing, classification, oil fume separation, real-time monitoring, human-computer interaction, behavior correction and incentives for kitchen waste, thereby comprehensively improving garbage disposal efficiency and user experience, and forming a sustainable community operation ecology.

[0054] In one embodiment of the present invention, the crushing assembly is provided with an inclined crushing blade assembly, the sensing module includes a weight sensor and a visual recognition module, the driving mechanism is a DC brushless motor, the DC brushless motor controls the crushing action of the inclined crushing blade assembly, and the DC brushless motor dynamically controls the rotation speed according to the garbage weight obtained by the weight sensor and the garbage shape obtained by the visual recognition module.

[0055] In this embodiment, the crushing module is installed in the upper area of ​​the cabinet body, and includes an inclined crushing blade assembly, a motor drive system, a sound insulation and vibration isolation shell and an automatic sensing module. The automatic sensing module below the loading port simultaneously starts the weight sensor and the infrared / visual recognition unit to detect the weight and shape of the garbage. The control unit adaptively calculates the crushing parameters, such as rotation speed, time and other parameters, based on the sensor data, and drives the inclined crushing blade assembly to crush. For example, the rotation speed = k1×weight + k2×hardness index, k1 and k2 are pre-calibrated coefficients. The crushing module is covered with a sound insulation and vibration isolation shell composed of multiple layers of composite sound-absorbing material and rubber vibration-damping brackets to control the noise to ≤60dB, ensuring a quiet kitchen environment. After the crushing is completed, the residual material slides into the classification storage module through the slag diversion trough. The inclined crushing blade assembly has multiple pairs of inclined stainless steel blades arranged in an interlaced manner; the crushing module has a slag diversion trough located at the bottom of the crushing bin, which is used to guide the crushed material to the feed port of the classification storage module below.

[0056] After the user puts the kitchen waste into the delivery port, the automatic sensing module starts weight and visual recognition to measure the weight and preliminary shape of the waste; the control unit (5) queries the built-in crushing parameter library based on the weight and shape information and calculates the best crushing solution (speed, direction, duration); the control unit drives the motor to start the blade assembly at the selected speed, and the bevel blade presses the material to the blade edge to achieve efficient crushing; if the motor current exceeds the set threshold during the crushing process, the control unit automatically reduces the speed or reverses to temporarily clear the blockage; the soundproof and vibration-isolating shell greatly reduces the noise, so that the noise peak during crushing is ≤60dB, avoiding affecting the kitchen environment; after the slag discharge and diversion crushing are completed, the residual material slides into the slag discharge guide chute and enters the classification storage unit by gravity, entering the multi-modal classification judgment process.

[0057] In one embodiment of the present invention, the classification container includes a dry storage box, a wet storage box, a recyclable box and a hazardous storage box. The feed ports of the dry storage box, the wet storage box, the recyclable box and the hazardous storage box are respectively provided with a grease sensing device, a humidity monitoring sensor and a hazardous waste detection port. The hazardous waste detection port integrates a visual recognition module, a weight density judgment unit and a confirmation interface. The hazardous waste detection port determines the input of hazardous waste through image comparison and density calculation and triggers user confirmation. The grease sensing device is used to detect grease adhesion on the flowing material. The humidity monitoring sensor is used to detect the humidity of the material. Each box body is also provided with a feed diversion groove and a sealing door at the groove.

[0058] In this embodiment, the four storage bins are respectively a dry storage bin, a wet storage bin, a recyclable bin, and a hazardous storage bin. The bins are mounted on a common guide rail assembly via slide rails. The feed diversion trough is connected to the crushing module's slag discharge trough. Adjustable diversion with a solenoid valve or servo is used to guide the material to the target bin, facilitating extraction and cleaning. When the grease / humidity threshold exceeds the threshold, the device automatically shuts down and activates activated carbon or photocatalyst deodorization. A grease sensor is mounted above or on the side wall of the bin near the feed port. It uses an infrared or capacitive oil film detection sensor. When an oil film is detected, it sends a signal to the control unit, indicating that the material in the bin has a high oil content. A humidity monitoring sensor, mounted near the bottom of the bin, uses a resistive or capacitive humidity sensor to measure the humidity of the air / material inside the bin in real time. When the humidity value exceeds a set threshold (e.g., >60% RH), the bin is classified as "wet garbage." The hazardous waste detection port is located at the intersection of the feed port of each storage box and the diversion trough, and includes three sub-modules: a visual recognition module, a weight and density judgment unit, and a confirmation interface. The visual recognition module is used to capture the image of the placed material. The image processing chip performs a similarity comparison based on the pre-downloaded "hazardous waste image library". If the similarity is ≥85%, it is marked as "suspected hazardous waste" and a signal is sent to the control unit; the weight and density judgment unit uses the weight sensor of the crushing module and the micro sensor on the diversion trough to measure the weight and volume of the material. If the calculated density exceeds the set threshold, for example, if ρ>2.5-3g / cm3, it is marked as "suspected hazardous waste"; confirmation interface, when either visual recognition or density judgment determines that it is "suspected hazardous", the control unit pops up a confirmation dialog box on the human-computer interaction panel and the App; the user can click "Confirm Hazardous" or "Not Hazardous" through the panel or App. If confirmed, it will be imported into the hazardous storage box; otherwise, the diversion will continue according to the standard classification process; if the user does not respond for more than 30 seconds, the system will default to "dry garbage" for temporary storage and mark the sample data as a sample to be learned.

[0059] The classification container also has a feed diversion trough, which is connected to the slag discharge diversion trough of the crushing module to form a natural transition by gravity; a solenoid valve or a servo-driven diversion mechanism is set at the end of the diversion trough, which is dynamically controlled by the control unit to guide the material to the corresponding storage box; there are also sealed doors and deodorization components. When the grease sensing device or humidity sensor detects a value ≥ the set threshold, the control unit issues a command to drive the motor to automatically close the corresponding storage box sealing door, and starts the activated carbon adsorption or photocatalyst decomposition module for deodorization; the capacity detection unit is located on the top or side wall of the storage box. An ultrasonic or infrared distance sensor is set to measure the height of the remaining space inside. When the remaining space is <20%, a "box is full" reminder is sent to the control unit, and the human-computer interaction panel and the App simultaneously remind the user to clean it in time; a detachable slag tray is located at the bottom of the storage box and is used to collect a small amount of particulate solids and residue. The user can pull out the slag tray through the slide rail for cleaning and then put it back.

[0060] In one embodiment of the present invention, the oil fume treatment unit is arranged at the bottom of the cabinet body, including an oil fume diversion channel, a grease sedimentation chamber, a liquid level sensor and an automatic oil drain control valve. A vortex separation chamber is provided in the oil fume diversion channel, and an arc-shaped guide plate is provided in the oil fume diversion channel. The grease sedimentation chamber includes a multi-stage sedimentation grid. After vortex separation, the oil droplets are deposited along the grid to the oil collecting tank. When the oil level reaches a preset height, the automatic oil drain control valve is triggered.

[0061] In this embodiment, kitchen fumes enter the fume diversion channel through the air duct on the range hood or cabinet top. A vortex airflow forms within the curved deflector and vortex separation chamber, separating oil droplets due to centrifugal force and gravity and adhering to the inner wall of the channel. The separated oil droplets slide down the wall and enter the grease settling chamber. Under the action of multi-stage settling grids, the oil droplets gradually merge and settle in the oil collection tank. When the oil level reaches or exceeds a set threshold, which can be 5-10 cm, a liquid level sensor sends a signal to the control unit, which triggers the automatic oil discharge control valve to open, directing the oil to an external oil drum or storage box. Once the oil is discharged, the control unit closes the solenoid valve. After initial separation and filtration, the smoke is discharged through the air outlet to the range hood or outdoor duct, ensuring that no noticeable oil fume residue remains in the kitchen.

[0062] In one embodiment of the present invention, the control unit controls the garbage processing actions of the crushing module, the classification storage module and the oil fume treatment unit, including:

[0063] Dynamically adjust the speed of the brushless DC motor according to the garbage weight obtained by the weight sensor and the garbage shape data obtained by the visual recognition module;

[0064] Control the material diversion path based on the output signals of the visual recognition module, weight density judgment unit, humidity monitoring sensor and grease sensing device;

[0065] When the oil level reaches the preset level, the automatic oil drain control valve is triggered.

[0066] The control of the material diversion path includes: when the control unit performs dry garbage or wet garbage diversion according to the humidity monitoring sensor or the grease sensing device, if the detection value of the humidity monitoring sensor is ≥60%RH or the grease sensing device detects the adhesion of an oil film, the material is directed to the wet storage box; otherwise, the material is directed to the dry storage box or the recyclable box according to the visual recognition result of the visual recognition module;

[0067] The hazardous waste image data and density data are preset in the control unit;

[0068] The visual recognition module compares harmful garbage image data and marks it as suspected harmful if the similarity is ≥85%;

[0069] The weight density judgment unit calculates the density ρ. If ρ is greater than the preset density data, it is marked as suspected harmful.

[0070] When the flag is triggered, a dialog box will pop up on the confirmation interface. After the user confirms, the harmful storage box will be imported. If there is no response after the timeout, the dry storage box will be imported by default.

[0071] The classification logic of the classification storage module includes: the crushing module slides the crushed material downward through the slag discharge guide trough, and the "preliminary diversion port" of each storage box first diverts the material. If the control unit determines that it is "suspected to be harmful" based on visual recognition or weight density, it enters the human-machine confirmation link; if it is determined to be non-hazardous, it enters the "dry / wet / recyclable" pre-diversion; in the hazardous waste detection and confirmation process, through visual recognition, the material image is compared with the image library. If the similarity is >85%, a "suspected harmful" signal is sent. Weight density judgment, if p>2.5-3g / cm3, it is determined to be "suspected harmful". When the "suspected harmful" mark is generated, the control unit will send a "suspected harmful" signal through the human-machine interface. A dialog box "Suspected hazardous waste detected, please confirm" pops up on the panel. After the user clicks "Confirm Hazardous" on the panel or App, the diversion mechanism directs the material into the hazardous storage bin. If the user clicks "Non-Hazardous", it will be diverted according to the "Dry / Wet / Recyclable" logic. If there is no response for more than 30 seconds, it will be temporarily stored in the dry waste bin, and the sample will be recorded in the background for model training; in the subdivided dry / wet / recyclable process, after the classified garbage enters the "Dry / Wet Pre-Diversion Port", the humidity monitoring sensor detects the humidity. If the humidity ≥ the threshold, it will be directed to the wet waste bin. If the grease ≥ the threshold, it will be directed to the wet waste bin. Otherwise, the material will be directed to the dry waste bin or the recyclable bin, and the visual recognition module will determine whether it is "recyclable". When the humidity or grease sensor value exceeds the threshold, the control unit closes the sealed door of the storage box, starts the deodorization component (activated carbon or photocatalyst module) and runs the exhaust fan to reduce odor; if the remaining space in the storage box is less than 20%, a "full capacity" reminder is sent. If the storage box direction or guide groove is blocked, the sensor is abnormal or the diversion is abnormal, the control unit stops the crushing module and sends a "diversion abnormality, please check" message on the human-machine panel and App. Users can regularly open the maintenance door at the bottom of the cabinet, pull out the slag tray, clean it, and then push it back.

[0072] In one embodiment of the present invention, the step of guiding the user to manage waste classification includes:

[0073] Classification guidance module, providing classification prompts through the interactive interface;

[0074] Behavior collection module, recording delivery category, weight and user confirmation results;

[0075] The error feedback module compares the predicted category with the actual diversion target. If there is any inconsistency, the diversion is suspended and a correction prompt is given;

[0076] The behavior incentive module generates points and ranking data based on the number of correct classifications.

[0077] Furthermore, the classification guidance module automatically highlights the icon of the corresponding garbage category when it detects that the user is approaching the placement port. If the user accidentally places garbage, the module will provide a voice prompt to the correct placement location.

[0078] When the error feedback module detects a classification error, it suspends diversion and temporarily stores the material in an independent recycling bin. At the same time, it pops up prompts and voice correction instructions through the interactive panel, and performs classification again after the user re-inserts the material.

[0079] After the classified delivery is completed, the control unit will generate a log and store it locally. The log includes the resident ID, timestamp, predicted category, final category, delivery weight, moisture %, grease %, and whether an error has been corrected.

[0080] The fields of the log are checked by CRC32 to generate a 32-bit unique number UID, which is simultaneously printed on a thermal label and dropped into the trash can together with the packaging bag for easy tracing by scanning the code in the corridor.

[0081] The behavior incentive module includes points calculation and incentive display;

[0082] The integral calculation includes the following process:

[0083] Basic points: +1 point for each correct classification for the first time;

[0084] Combo Bonus: +2 points for 5 correct hits in a row; restart the count after an interruption;

[0085] The incentive display includes:

[0086] If the accumulated points in a natural month are ≥50, the virtual medal will be automatically unlocked;

[0087] Points and medals are displayed in real time on the touch screen main interface of the human-computer interaction and uploaded to the cloud;

[0088] The cloud platform aggregates data by region / community, generates monthly category rankings, and pushes them through the App.

[0089] In this embodiment, a user behavior driving module is used to guide users' waste classification management behavior, so as to realize the closed loop of "user perception - behavior execution - immediate feedback - behavior incentive → community operation";

[0090] Classification guidance module: provides users with classification prompts and guidance for "dry garbage", "wet garbage", "recyclables" and "hazardous waste" through panel icons, voice or QR code scanning;

[0091] A human-computer interaction panel is used to reserve a "classification diagram" area at the top or in the area, displaying icons of "dry garbage", "wet garbage", "recyclable" and "hazardous waste". When a new user is detected or a wrong waste is put in, the corresponding prompt sound is automatically played. When the user stops at any delivery port, the panel automatically highlights the icon and guidance text corresponding to the port. If the garbage is put into the wrong delivery port, the panel and voice prompt immediately, such as "This port only accepts dry garbage, please choose the wet garbage port on the right"; you can select "View detailed classification guide" on the App, including common garbage examples, correct classification operation videos, etc.

[0092] Behavior collection module: records data such as "category prediction", "weight", "time", "frequency", "harmful detection results", and "user confirmation results" of each user's placement in real time, and caches or uploads it to the cloud;

[0093] Error feedback module: Combining visual recognition and weight density judgment, when a user classification error is detected, a "classification error" prompt will immediately pop up on the human-computer interaction panel and the App, suspending the corresponding action and guiding the user to take out and re-input; based on the visual recognition module, humidity sensor, grease sensor and weight density judgment unit, a multi-modal judgment basis is formed. For example, if visual recognition determines that "wet garbage" is used, but the material is actually diverted into the dry garbage bin, or if weight density determines that "hazardous waste" is used, but it is not diverted to the hazardous bin and the user denies it; the control unit will suspend the crushing and diversion process and temporarily store the material in the "error temporary storage area". The interactive panel will pop up a window "Classification error, please re-input", and voice prompt the correct example, and push the "error notification + correct demonstration" message. After the user completes the correction, the material is re-input, and the system re-detects and performs classification.

[0094] Behavioral Incentive Module: Based on the number of correct classifications, waste weight, and timeliness of waste sorting, users are rewarded with points, rankings, and virtual medals, visible on the dashboard and app. A dedicated area for displaying points / medals is provided within the interactive dashboard. Through community operations and social incentives, waste sorting becomes a collective action, further enhancing environmental effectiveness and social impact.

[0095] In summary, after reading the present invention document, ordinary technicians in this field can make various other corresponding transformation schemes based on the technical solutions and technical concepts of the present invention without creative mental work, and all of them fall within the scope of protection of the present invention.

Claims

1. An intelligent garbage sorting cabinet system with a multi-state response mechanism, characterized in that: include: Modular cabinet body; The crushing module is located on the upper part of the cabinet body and includes a sensing module, a driving mechanism and a crushing assembly. The sensing module is used to detect the physical characteristics of the garbage; The classification storage module is located at the bottom of the cabinet body and contains multiple classification containers. The entrances of the multiple classification containers are respectively equipped with environmental sensing modules and hazardous waste detection ports. The type of garbage is determined by the hazardous waste detection port equipped with integrated visual recognition, density determination and a human-computer interaction confirmation interface; The oil fume treatment unit comprises a separation chamber, an oil collecting assembly and an automatic oil drain mechanism, wherein a vortex generating structure is provided in the separation chamber; A control unit controls the garbage processing actions of the crushing module, the classification storage module and the oil fume treatment unit, and guides the user's garbage classification management behavior.

2. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 1 is characterized in that: The cabinet body adopts a modular space layout made of stainless steel material. The cabinet body is also provided with a power supply and a drainage interface. The crushing module has a sound-proof, vibration-isolating shell. The crushing assembly is provided with a bevel crushing blade assembly. The sensing module includes a weight sensor and a visual recognition module. The driving mechanism is a DC brushless motor. The DC brushless motor controls the crushing action of the bevel crushing blade assembly. The DC brushless motor dynamically controls the speed according to the garbage weight obtained by the weight sensor and the garbage shape obtained by the visual recognition module.

3. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 2 is characterized in that: The classification container includes a dry storage box, a wet storage box, a recyclable box and a hazardous storage box. The feed ports of the dry storage box, the wet storage box, the recyclable box and the hazardous storage box are respectively provided with a grease sensing device, a humidity monitoring sensor and a hazardous waste detection port. The hazardous waste detection port integrates a visual recognition module, a weight density judgment unit and a confirmation interface. The hazardous waste detection port determines the input of hazardous waste through image comparison and density calculation and triggers user confirmation. The grease sensing device is used to detect the grease adhesion of the inflowing material. The humidity monitoring sensor is used to detect the humidity of the material. Each box body is also provided with a feed diversion groove and a sealing door at the groove.

4. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 3 is characterized in that: The oil fume treatment unit is arranged at the bottom of the cabinet body, and includes an oil fume diversion channel, a grease sedimentation chamber, a liquid level sensor and an automatic oil discharge control valve. An eddy current separation chamber is provided in the oil fume diversion channel, and an arc-shaped guide plate is provided in the oil fume diversion channel. The grease sedimentation chamber includes a multi-stage sedimentation grid. After eddy current separation, the oil droplets are deposited along the grid to the oil collecting tank. When the oil level reaches a preset height, the automatic oil discharge control valve is triggered.

5. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 4 is characterized in that: The control unit controls the garbage processing actions of the crushing module, the classification storage module and the oil fume treatment unit, including: Dynamically adjust the speed of the brushless DC motor according to the garbage weight obtained by the weight sensor and the garbage shape data obtained by the visual recognition module; Control the material diversion path based on the output signals of the visual recognition module, weight density judgment unit, humidity monitoring sensor and grease sensing device; When the oil level reaches the preset level, the automatic oil drain control valve is triggered.

6. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 3 is characterized in that: The weight density judgment unit calculates the garbage density ρ through the weight data obtained by the weight sensor and the volume data of the garbage form obtained by the visual recognition module. If ρ>2.5-3g / cm 3 ,By presetting recyclable data in the control unit, if the visual recognition module does not match the recyclable ,objects in the control unit, it is determined as suspected hazardous waste and the confirmation ,interface is activated.

7. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 4 is characterized in that: The control of the material diversion path includes: when the control unit performs dry garbage or wet garbage diversion according to the humidity monitoring sensor or the grease sensing device, if the detection value of the humidity monitoring sensor is ≥60%RH or the grease sensing device detects the adhesion of an oil film, the material is directed to the wet storage box; otherwise, the material is directed to the dry storage box or the recyclable box according to the visual recognition result of the visual recognition module; The hazardous waste image data and density data are preset in the control unit; The visual recognition module compares harmful garbage image data and marks it as suspected harmful if the similarity is ≥85%; The weight density judgment unit calculates the density ρ. If ρ is greater than the preset density data, it is marked as suspected harmful. When the flag is triggered, a dialog box will pop up on the confirmation interface. After the user confirms, the harmful storage box will be imported. If there is no response after the timeout, the dry storage box will be imported by default.

8. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 1 is characterized in that: The actions of guiding users to manage garbage classification include: Classification guidance module, providing classification prompts through the interactive interface; Behavior collection module, recording delivery category, weight and user confirmation results; The error feedback module compares the predicted category with the actual diversion target. If there is any inconsistency, the diversion is suspended and a correction prompt is given; The behavior incentive module generates points and ranking data based on the number of correct classifications.

9. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 8 is characterized in that: The classification guidance module automatically highlights the icon of the corresponding garbage category when it detects that the user is approaching the placement port. If the user accidentally places garbage, the module will provide a voice prompt to the correct placement location. When the error feedback module detects a classification error, it suspends diversion and temporarily stores the material in an independent recycling bin. At the same time, it pops up prompts and voice correction instructions through the interactive panel, and performs classification again after the user re-inserts the material. After the classified delivery is completed, the control unit will generate a log and store it locally. The log includes the resident ID, timestamp, predicted category, final category, delivery weight, moisture %, grease %, and whether an error has been corrected. The fields of the log are checked by CRC32 to generate a 32-bit unique number UID, which is simultaneously printed on a thermal label and dropped into the trash can together with the packaging bag for easy tracing by scanning the code in the corridor.

10. The intelligent garbage classification cabinet system with a multi-state response mechanism according to claim 7, characterized in that: The behavior incentive module includes point calculation and incentive display; the point calculation includes the following process: Basic points: +1 point for each correct classification for the first time; Combo Bonus: +2 points for 5 correct hits in a row; Re-count after interruption; The incentive display includes: If the accumulated points in a natural month are ≥50, the virtual medal will be automatically unlocked; Points and medals are displayed in real time on the touch screen main interface of the human-computer interaction and uploaded to the cloud; The cloud platform aggregates data by region / community, generates monthly category rankings, and pushes them through the App.

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