Intelligent garbage can system with self-adaptive compression and peculiar smell control functions

Abstract

The invention discloses a self-adaptive compression and peculiar smell control intelligent garbage can system, relates to the technical field of intelligent environmental protection, and realizes precise adaptation of garbage treatment through cooperation of a sensing layer, a control and decision layer and an execution layer. The sensing layer triggers a work cycle through an ultrasonic distance measuring sensor, a micro radio frequency impedance sensor collects material complex impedance data, and a high-precision pressure sensor feeds back compression pressure; the control and decision layer extracts dielectric constant characteristics through impedance signal processing, garbage is divided into kitchen garbage, dry garbage and metal hard objects by means of a K-nearest neighbor algorithm, and then an intelligent strategy controller generates an instruction; the execution layer achieves differential compression of three types of garbage through a precise compression motor, a dual-mode deodorization module treats peculiar smell in a targeted mode, the state prompting and low-power-consumption dormancy functions are matched, the system solves the problems that a traditional garbage can is undifferentiated in compression, equipment is prone to being damaged by hard objects, peculiar smell control is low in efficiency, and energy consumption is redundant, and the storage efficiency and the equipment safety are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent environmental protection technology, more particularly, to a smart garbage can system with adaptive compression and odor control. BACKGROUND

[0002] In modern household and commercial garbage storage scenarios, traditional garbage cans have long been limited by the static control-passive response technical framework, making it difficult to solve the core contradiction between dynamic changes in garbage material and the solidification of processing strategies. Current compression garbage cans use a single pressure threshold and a unified action logic control mode, without establishing a correlation mechanism between garbage material characteristics and processing schemes. For high-moisture kitchen waste, fixed high-pressure compression easily damages the cell structure, leading to juice overflow. The residual juice forms an anaerobic environment in the can, and the number of odor-producing bacteria can increase by 10-15 times within a day, with a simultaneous increase in odor concentration. For low-density dry garbage (such as plastic foam and waste paper), the space utilization rate is only 30%-45% due to insufficient compression force, requiring frequent emptying and increasing operational costs. More critically, existing systems lack hard object recognition and protection capabilities. When electrically conductive / high-hardness objects such as metal cans and glass bottles are mistakenly put in, the compression mechanism is prone to gear meshing failure and motor burnout due to rigid collision. According to industry statistics, such failures account for more than 70% of the total maintenance of compression garbage cans. In terms of odor control, traditional solutions rely on timed activated carbon adsorption or constant chemical spraying, without differentiating between the biological degradation characteristics of kitchen waste and the VOCs (volatile organic compounds) release patterns of dry garbage. Kitchen waste needs to be decomposed by biological enzymes in the early stages of odor production, while dry garbage needs to be continuously oxidized by light to degrade VOCs. The existing single mode results in an odor removal rate of less than 20% for kitchen waste and a VOCs purification effect fluctuation range of more than 50% for dry garbage. In addition, most systems have energy consumption redundancy problems. Sensors and actuators are in high-power standby mode throughout the process, maintaining full-load power supply during garbage filling gaps, which does not meet the demand-based energy consumption trend of low-carbon household devices. These pain points are essentially a lack of closed-loop adaptation capabilities in perception, decision-making, and execution, making it difficult to optimize storage efficiency, device safety, and odor control effectiveness simultaneously.

[0003] In summary, the existing technology has the problems of compression without material adaptation, hard object damage to equipment, inefficient odor control, and energy consumption redundancy. SUMMARY

[0004] To overcome the problems of compression without material adaptation, hard object damage to equipment, inefficient odor control, and energy consumption redundancy in the existing technology, the present application discloses a smart garbage can system with adaptive compression and odor control, which can effectively solve the above technical problems.

[0005] To solve the above technical problems, the technical solution of the present application is as follows: The intelligent garbage can system for adaptive compression and odor control comprises a perception layer module, a control and decision-making layer module and an execution layer module; the perception layer module is in communication connection with the control and decision-making layer module, and the control and decision-making layer module is in communication connection with the execution layer module; The perception layer module is used for collecting the height information, material characteristic information and pressure information of garbage in the garbage can during compression; The control and decision-making layer module is used for receiving the data collected by the perception layer module, classifying and identifying the garbage material, and generating compression control instructions and odor control instructions according to the identification results; The execution layer module is used for executing corresponding compression actions in response to the compression control instructions, and executing corresponding odor treatment actions in response to the odor control instructions, so as to realize adaptive compression and odor control of the garbage can.

[0006] Preferably, the perception layer module comprises an ultrasonic ranging sensor, a miniature radio frequency impedance sensor and a high-precision pressure sensor. The ultrasonic ranging sensor is arranged at the top of the inner side of the garbage can mouth, and is used for detecting the height of garbage in the garbage can. When it is detected that the height of garbage exceeds a preset threshold, a working cycle trigger signal is generated and sent to the control and decision-making layer module. The miniature radio frequency impedance sensor is integrated at the front end of the compression plate of the garbage can, and is used for emitting a radio frequency signal of a specific frequency and collecting a reflected signal when the compression plate is close to the garbage surface by a preset distance, so as to generate complex impedance data of the garbage material. The high-precision pressure sensor is arranged at the connection part of the compression plate and the compression motor, and is used for collecting real-time pressure data during compression and sending the data to the control and decision-making layer module to realize pressure feedback control.

[0007] Preferably, the control and decision-making layer module comprises a main control MCU, an impedance signal processing unit, an embedded classification algorithm unit and an intelligent strategy controller. The main control MCU is electrically connected with the impedance signal processing unit, the embedded classification algorithm unit and the intelligent strategy controller respectively. The impedance signal processing unit is used for receiving the complex impedance data sent by the miniature radio frequency impedance sensor, demodulating and extracting features of the data, and obtaining the dielectric constant characteristic value of the garbage. The embedded classification algorithm unit is built-in with a lightweight machine learning model, which is used for classifying the dielectric constant characteristic value into three material types of high-dielectric-constant kitchen waste, medium-dielectric-constant dry garbage and conductive metal hard objects. The intelligent strategy controller is used for generating corresponding compression control instructions and odor control instructions according to the material classification results, the trigger signal of the ultrasonic ranging sensor and the pressure data of the high-precision pressure sensor.

[0008] Preferably, the lightweight machine learning model is a K-nearest neighbor algorithm model; the K-nearest neighbor algorithm model is trained by a pre-collected dielectric constant characteristic value sample set of different material garbage, kitchen garbage, dry garbage and metal hard objects, and can complete garbage material classification within milliseconds.

[0009] Preferably, the execution layer module includes a precision compression motor, a dual-mode deodorization module and a state prompting module. The precision compression motor is electrically connected with the intelligent strategy controller of the control and decision layer module, and is used for receiving a compression control instruction and executing compression actions in different modes. The dual-mode deodorization module is electrically connected with the intelligent strategy controller, and is used for receiving an odor control instruction and executing corresponding odor processing actions. The state prompting module is electrically connected with the intelligent strategy controller, and is used for receiving a state control instruction and displaying the working state and abnormal prompt of the garbage can.

[0010] Preferably, the precision compression motor supports three working modes. When the control and decision layer module determines that the garbage is high-dielectric-constant kitchen garbage, a gentle slow compression control instruction is received to execute the compression action at a preset medium pressure value and a preset slow rotating speed; When it is determined that the garbage is medium-dielectric-constant dry garbage, a strong fast compression control instruction is received to execute the compression action at a preset high pressure value and a preset fast rotating speed; When it is determined that the garbage is a conductive metal hard object, an emergency stop and reverse control instruction is received to immediately stop the compression action and drive the motor to reverse, so that the compression plate is lifted back to the initial position.

[0011] Preferably, the dual-mode deodorization module includes a biological enzyme micro-spray tank and a photocatalytic oxidation module. The biological enzyme micro-spray tank is arranged at the top of the inner side of the garbage can wall, and is provided with a biological enzyme catalyst. When the control and decision layer module determines that the garbage is high-dielectric-constant kitchen garbage and marks it as a high-risk odor source, a biological enzyme spray control instruction is received to spray the biological enzyme catalyst to the surface of the garbage. The photocatalytic oxidation module is arranged on the inner side of the garbage can cover, and is provided with an ultraviolet light catalysis assembly. When it is determined that the garbage is medium-dielectric-constant dry garbage or after the biological enzyme spray is completed, a photocatalytic purification control instruction is received to start the ultraviolet light catalysis assembly to purify the air.

[0012] Preferably, the state prompting module includes an LED indicator light group; the LED indicator light group includes green indicator lights, yellow indicator lights and red indicator lights. When the system is in a normal standby state, the green indicator lights are always on. When the system executes compression or deodorization actions, the yellow indicator lights flicker. When the system detects the conductive metal hard object and terminates compression, the red indicator light is constantly on with intermittent flashing, and the buzzer is triggered to emit a prompt sound, prompting the user to remove the hard object.

[0013] Preferably, the working trigger condition of the micro radio frequency impedance sensor is that when the ultrasonic ranging sensor detects that the distance between the compression plate and the garbage surface is a preset value during the descending process of the compression plate, the control and decision layer module sends a start instruction to the micro radio frequency impedance sensor, the sensor immediately emits a specific frequency radio frequency signal, and continuously collects the reflected signal until stable complex impedance data is obtained.

[0014] Preferably, it further comprises a low-power sleep module; the low-power sleep module is electrically connected with the main control MCU; When the system completes a compression and odor control process, the main control MCU controls the sensing layer module and the execution layer module to enter a low-power mode, and only the ultrasonic ranging sensor is in a low-frequency detection state; When the ultrasonic ranging sensor detects again that the garbage height exceeds the preset threshold, the low-power sleep module wakes up all modules of the system and starts a new working cycle.

[0015] Compared with the prior art, the beneficial effects of the present application are: the intelligent garbage can system with self-adaptive compression and odor control cooperates through multi-level technology, aiming at the problem of no material adaptation for compression, the system collects garbage complex impedance data by means of the perception layer micro radio frequency impedance sensor, extracts the dielectric constant characteristic value through the control and decision layer impedance signal processing unit, and then accurately classifies the garbage material through the embedded K nearest neighbor algorithm model, and the intelligent strategy controller accordingly issues differentiated control instructions to the execution layer precision compression motor, so that the kitchen waste corresponds to soft and slow compression to avoid liquid overflow, and the dry garbage corresponds to strong and fast compression to improve efficiency, realizing precise adaptation of compression mode and garbage material; for the problem of hard objects damaging equipment, when the algorithm identifies metal hard objects, the intelligent strategy controller immediately triggers the emergency protection mechanism, sends stop and reverse instructions to the compression motor, drives the compression plate to quickly rise, physically cuts off the contact between the hard object and the equipment, and at the same time sends an abnormal alarm through the state prompt module to guide the user to take out the hard object in time, completely avoiding the impact and damage of the hard object on the equipment; for the problem of inefficient odor control, the system uses a double-mode deodorization module to work together, for high-odor-risk kitchen waste, first spray the catalyst through the biological enzyme micro-spray tank to decompose organic matter from the source to inhibit odor generation, and then start the photocatalytic oxidation module to purify the residual odor, and for dry garbage with lighter odor, directly start the photocatalytic module, forming a whole-process deodorization logic of source inhibition + end purification, improving the odor control effect; for the problem of energy redundancy, the system is equipped with a low-power sleep module, after completing a compression and deodorization process, the main control MCU controls all modules except the ultrasonic ranging sensor to enter a low-power state, only keeping the sensor at a low frequency to detect the height of the garbage, and only when the height of the garbage is detected again to meet the standard will the whole system be awakened, through dynamic adjustment of the module working state, unnecessary energy consumption is minimized, and the balance between energy consumption and function is realized. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be derived from the provided drawings without creative labor.

[0017] Figure 1 The system structure diagram of the present application. DETAILED DESCRIPTION

[0018] The drawings are only used for illustrative description and cannot be understood as a limitation on the patent; In order to better illustrate the present embodiment, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the actual product size; It will be appreciated by those skilled in the art that certain known structures and their descriptions can be omitted in the drawings.

[0019] The technical solutions of the present application will be further described below in combination with the drawings and examples.

[0020] Examples

[0021] Please refer to Figure 1 The intelligent garbage can system with adaptive compression and odor control comprises a sensing layer module, a control and decision-making layer module and an execution layer module; the sensing layer module is in communication connection with the control and decision-making layer module, and the control and decision-making layer module is in communication connection with the execution layer module. The sensing layer module is used for collecting the height information, material characteristic information and pressure information of the garbage in the garbage can during compression; The control and decision-making layer module is used for receiving the data collected by the sensing layer module, classifying and identifying the garbage material, and generating compression control instructions and odor control instructions according to the identification results; The execution layer module is used for executing corresponding compression actions in response to the compression control instructions, and executing corresponding odor treatment actions in response to the odor control instructions, so as to realize adaptive compression and odor control of the garbage can.

[0022] The sensing layer module comprises an ultrasonic ranging sensor, a miniature radio frequency impedance sensor and a high-precision pressure sensor; The ultrasonic ranging sensor is arranged at the top of the inner side of the garbage can mouth, and is used for detecting the height of the garbage in the garbage can; when it is detected that the height of the garbage exceeds a preset threshold, a working cycle trigger signal is generated and sent to the control and decision-making layer module; The miniature radio frequency impedance sensor is integrated at the front end of the compression plate of the garbage can, and is used for emitting a radio frequency signal of a specific frequency and collecting a reflected signal when the compression plate is close to the surface of the garbage by a preset distance, so as to generate complex impedance data of the garbage material; The high-precision pressure sensor is arranged at the connection part of the compression plate and the compression motor, and is used for collecting real-time pressure data during compression and sending the real-time pressure data to the control and decision-making layer module to realize pressure feedback control.

[0023] The control and decision-making layer module comprises a main control MCU, an impedance signal processing unit, an embedded classification algorithm unit and an intelligent strategy controller; The main control MCU is electrically connected with the impedance signal processing unit, the embedded classification algorithm unit and the intelligent strategy controller respectively; The impedance signal processing unit is used for receiving the complex impedance data sent by the miniature radio frequency impedance sensor, demodulating and extracting features of the data, and obtaining the dielectric constant characteristic value of the garbage; The embedded classification algorithm unit is internally provided with a lightweight machine learning model, which is used for classifying the dielectric constant characteristic value into three types of material quality results of high dielectric constant kitchen garbage, medium dielectric constant dry garbage and conductive metal hard objects. The intelligent strategy controller is used for generating corresponding compression control instructions and odor control instructions according to the material quality classification results, the trigger signal of the ultrasonic ranging sensor and the pressure data of the high-precision pressure sensor.

[0024] The lightweight machine learning model is a K-nearest neighbor algorithm model, which is trained by a pre-collected dielectric constant characteristic value sample set of different material qualities of garbage, kitchen garbage, dry garbage and metal hard objects, and can complete garbage material quality classification within milliseconds.

[0025] The execution layer module includes a precision compression motor, a dual-mode deodorization module and a state prompting module. The precision compression motor is electrically connected with the intelligent strategy controller of the control and decision layer module, and is used for receiving compression control instructions and executing compression actions in different modes. The dual-mode deodorization module is electrically connected with the intelligent strategy controller, and is used for receiving odor control instructions and executing corresponding odor processing actions. The state prompting module is electrically connected with the intelligent strategy controller, and is used for receiving state control instructions and displaying the working state and abnormal prompt of the garbage can.

[0026] The precision compression motor supports three working modes: When the control and decision layer module determines that the garbage is high dielectric constant kitchen garbage, a gentle slow compression control instruction is received to execute a compression action at a preset medium pressure value and a preset slow rotating speed; When it is determined that the garbage is medium dielectric constant dry garbage, a strong fast compression control instruction is received to execute a compression action at a preset high pressure value and a preset fast rotating speed; When it is determined that the garbage is a conductive metal hard object, an emergency stop and reverse control instruction is received to immediately stop the compression action and drive the motor to reverse, so that the compression plate is lifted back to the initial position.

[0027] The dual-mode deodorization module includes a biological enzyme micro-spray tank and a photocatalytic oxidation module. The biological enzyme micro-spray tank is arranged at the top of the inside of the garbage can wall, and internally provided with a biological enzyme catalyst. When the control and decision layer module determines that the garbage is high dielectric constant kitchen garbage and marks it as a high-risk odor source, a biological enzyme spray control instruction is received to spray the biological enzyme catalyst to the surface of the garbage. The photocatalytic oxidation module is arranged inside the garbage can cover, and internally provided with an ultraviolet light catalysis assembly. When it is determined that the garbage is medium dielectric constant dry garbage or after the biological enzyme spray is completed, a photocatalytic purification control instruction is received to start the ultraviolet light catalysis assembly to purify the air.

[0028] The state prompting module comprises an LED indicator group; the LED indicator group comprises a green indicator, a yellow indicator and a red indicator; When the system is in a normal standby state, the green indicator is always on; When the system performs compression or deodorization actions, the yellow indicator flashes; When the system detects a conductive metal hard object and terminates compression, the red indicator is always on and accompanied by intermittent flashing, and a buzzer is triggered to emit a prompt sound, prompting the user to remove the hard object.

[0029] The working trigger condition of the micro radio frequency impedance sensor is that, in the descending process of the compression plate, when the ultrasonic ranging sensor detects that the distance between the compression plate and the garbage surface is a preset value, the control and decision layer module sends a start instruction to the micro radio frequency impedance sensor, the sensor immediately emits a specific frequency radio frequency signal, and continuously collects the reflected signal until stable complex impedance data is obtained.

[0030] Further comprising a low-power sleep module; the low-power sleep module is electrically connected with the main control MCU; After the system completes a compression and odor control process, the main control MCU controls the perception layer module and the execution layer module to enter a low-power mode, and only the ultrasonic ranging sensor is in a low-frequency detection state; When the ultrasonic ranging sensor detects again that the garbage height exceeds the preset threshold, the low-power sleep module wakes up all modules of the system and starts a new working cycle.

[0031] The adaptive compression and odor control intelligent garbage can system of the embodiment adopts a perception-decision-execution three-layer modular architecture design, is suitable for home kitchens, apartment corridors, small office areas and other scenes, the can body shell is made of high-strength environmentally friendly plastic, the surface is treated with matte anti-stain, and is not easy to stain with oil and fingerprints in daily use, and is clean and convenient; the inside is provided with a detachable inner container made of food-grade corrosion-resistant material, which can be directly taken out and poured out, avoiding garbage residue on the wall, and the layout of all modules of the system is based on the principles of efficient signal transmission, stable function realization and user operation convenience, to ensure that the system can still maintain reliable performance in complex use environment.

[0032] The perception layer is a data acquisition terminal of the system, responsible for capturing key information of garbage in the garbage can, and providing accurate data support for subsequent decision-making, and its specific composition and function implementation are as follows: The ultrasonic ranging sensor is installed at the top center of the inner side of the garbage can opening, fixed by a metal support, and the detection direction is vertically downward, ensuring that the whole garbage height detection range in the can is covered. A transparent dustproof cover is installed outside the sensor to prevent liquid from damaging the sensor when garbage is thrown. Its function is to monitor the garbage accumulation height in real time: when the garbage height is low, the sensor detects intermittently at a low frequency to reduce energy consumption; when the garbage gradually accumulates to the pre-warning position, the detection frequency automatically increases to closely track the height change; when the height exceeds the starting threshold, a trigger signal is immediately sent to the control and decision layer to start the system working period, avoiding the difficulty of subsequent processing caused by excessive garbage accumulation.

[0033] The miniature radio frequency impedance sensor is integrated in the center area of the lower surface of the compression plate, isolated from the compression plate by an insulating layer, and covered with an ultra-thin wear-resistant coating on the surface to prevent garbage adhesion and corrosion from affecting detection accuracy. The working logic of the sensor is linked with the action depth of the compression plate, and it only starts when the compression plate is descending and the distance to the garbage surface reaches the preset range, avoiding unnecessary energy waste and data interference caused by unnecessary work. After starting, the sensor transmits a specific frequency radio frequency signal, the signal penetrates the garbage surface layer and receives the reflected signal, and by analyzing the amplitude and phase change of the reflected signal, complex impedance data reflecting the essential properties of garbage material are generated. Different materials of garbage will produce different characteristic complex impedance data due to differences in water content and conductivity, which is the core basis for material classification.

[0034] The high-precision pressure sensor is installed at the transmission connecting part of the compression plate and the compression motor, with a sealed packaging design, good moisture and oil resistance, and can work stably in a humid and dusty environment in the garbage can. A shock pad is installed between the sensor and the connecting part to reduce the influence of motor operation vibration on pressure detection accuracy. Its main function is to collect pressure data in real time during compression and dynamically feedback the compression force change: when the pressure is too low, it indicates that the compression is insufficient; when the pressure is too high, it warns of the risk of equipment overload, ensuring that the control and decision layer can adjust the compression strategy in time to balance the compression effect and equipment safety.

[0035] The control and decision layer is used to receive and analyze the perception layer data, generate accurate control instructions through algorithm analysis and logical judgment, and its specific composition and function implementation are as follows: The main control MCU is the control core of the system, which maintains real-time communication with the sensors of the perception layer and the mechanisms of the execution layer to coordinate the work rhythm of each module. After receiving the raw data from the sensors, it distributes them to the corresponding processing units according to function categories, integrates the processing results of each unit, generates standardized control instructions, and sends them to the execution layer. The main control MCU uses a low-power chip to effectively reduce standby energy consumption while ensuring data processing speed and instruction response efficiency, especially suitable for non-24-hour continuous power supply scenarios such as homes.

[0036] The impedance signal processing unit processes the complex impedance data collected by the micro radio frequency impedance sensor. Through signal demodulation, noise reduction filtering, feature extraction and other algorithms, the complex raw data is converted into standardized dielectric constant characteristic values. Dielectric constant is a key indicator reflecting the electrical properties of a substance. Kitchen waste has a higher dielectric constant than other types of waste due to its high water content. Dry waste (such as plastic, paper) has a low water content and a medium dielectric constant. Metal hard objects have a much higher dielectric constant than non-metallic waste due to their conductive properties. During processing, the unit automatically eliminates the interference of environmental temperature, humidity and other external factors on the data, ensuring the stability and accuracy of the characteristic values and providing a basis for classification.

[0037] The embedded classification algorithm unit has a lightweight machine learning model built-in. The model is trained based on a large sample set of dielectric constant characteristic values of different materials. The samples include common kitchen waste (leafy greens, leftovers, fruit peels, etc.), dry waste (plastic bottles, waste paper, packaging bags, etc.), and metal hard objects (cans, keys, tableware, etc.). The model uses the K-nearest neighbor algorithm and has a millisecond-level classification response speed - from receiving the dielectric constant characteristic values to outputting the classification results, the time consumption is extremely short, and the material identification can be completed before the compression action starts, avoiding misoperation caused by compression after identification. During the classification process, the algorithm automatically compares the current garbage characteristic values with the templates in the sample set and outputs a high-credibility classification result (kitchen waste, dry waste, metal hard objects).

[0038] The intelligent strategy controller matches the optimal control strategy based on the garbage material classification results, the trigger signal of the ultrasonic ranging sensor, and the real-time data of the high-precision pressure sensor. It has multiple preset logic sets built-in: for kitchen waste, it matches a gentle slow compression + biological enzyme spray + photocatalysis strategy to avoid garbage overflow and inhibit odor; for dry waste, it matches a strong fast compression + photocatalysis strategy to improve compression efficiency and storage capacity; for metal hard objects, it matches an emergency stop + reverse + abnormal prompt strategy to protect the equipment from damage. The controller also has dynamic adjustment capabilities, such as adjusting the motor output immediately to ensure safe operation of the system when the pressure suddenly exceeds the safety range during compression.

[0039] The execution layer converts the instructions of the control and decision layer into specific operations to realize garbage compression and odor control. Its specific composition and function implementation are as follows: The precision compression motor is the power core of garbage compression, connected with the compression plate through the transmission mechanism, and can switch three working modes according to the control command. The soft and slow compression mode for kitchen waste: the motor drives the compression plate to descend at a slow speed and moderate pressure, avoiding the juice overflow caused by excessive pressure of kitchen waste, while ensuring that the garbage is fully compressed. The strong and fast compression mode for dry garbage: the motor works at a fast speed and high pressure to quickly compress fluffy dry garbage (such as waste paper and plastic bottles), increasing the storage capacity of the garbage can. The emergency stop and reverse mode for metal hard objects: the motor stops running instantly after receiving the command, and then drives the compression plate to reverse and rise to the initial position, avoiding physical damage caused by the collision between the equipment and the metal hard objects.

[0040] The dual-mode deodorization module adopts a source inhibition + air purification dual strategy to solve the odor problem of different types of garbage. The module consists of two parts: one is a biological enzyme micro-spray tank installed on the inside top of the barrel wall, which contains a biological enzyme catalyst. When detecting kitchen waste (high-risk odor source), the biological enzyme is sprayed onto the surface of the garbage. The biological enzyme can quickly decompose the organic matter on the surface of the garbage, reducing odor generation from the source. The second is a photocatalytic oxidation module installed on the inside of the barrel cover, which contains an ultraviolet photocatalytic component. It is started after processing dry garbage or completing biological enzyme spraying. It decomposes odor molecules and volatile organic compounds in the air in the barrel through ultraviolet photocatalytic reaction to achieve air purification. The module works in conjunction with the barrel cover state: it automatically pauses when the barrel cover is opened to avoid ultraviolet light leakage and biological enzyme mis-spraying, ensuring user safety.

[0041] The state prompting module feedbacks the system working state through the LED indicator light group and the buzzer system. The LED indicator light group includes three colors: the green indicator light is always on, indicating that the system is in a normal standby state, with no abnormalities and waiting for garbage disposal; the yellow indicator light flashes, indicating that the system is performing compression or deodorization actions, reminding users to avoid misoperation of the barrel cover; the red indicator light is always on with intermittent flashing, and the buzzer emits a prompt sound, indicating that the system detects abnormal conditions such as metal hard objects, which need to be removed by the user before pressing the reset button. The system can only resume normal operation. The buzzer volume is adjusted to clearly convey the reminder signal without causing noise interference.

[0042] The system also has a low-power sleep module connected to the main control MCU, which is responsible for managing system energy consumption. After the system completes a compression and odor control process, the main control MCU controls the sensing layer (except the ultrasonic distance sensor) and most of the execution layer modules to enter a low-power mode, leaving only the ultrasonic distance sensor to detect the garbage height at a low frequency. When the ultrasonic distance sensor detects that the garbage height exceeds the preset threshold again, the low-power sleep module quickly wakes up all modules of the system to start a new working cycle, reducing the standby energy consumption of the system, prolonging the device's battery life, and especially suitable for scenes without continuous power supply.

[0043] In a specific implementation, after the system is powered on, a self-checking program is first executed: whether the perception layer sensor can normally collect data, whether the control and decision layer units can normally process signals, and whether the execution layer mechanism can normally respond to instructions are checked in turn. If the self-checking passes, the green indicator light is always on, and the system enters a low-power standby state. If the self-checking finds a fault (such as a sensor not responding, a motor jam), the red indicator light flashes and triggers the buzzer, prompting the user to troubleshoot the problem. In the standby state, only the ultrasonic ranging sensor detects the height of the garbage at a low frequency. When the user continuously puts in garbage, the height of the garbage gradually approaches the warning position, and the sensor detection frequency automatically increases. When the height exceeds the starting threshold, the sensor sends a trigger signal to the main control MCU, and the main control MCU wakes up all modules of the system through the low-power sleep module. The yellow indicator light starts to flash, and the system formally enters the working cycle.

[0044] The main control MCU sends an initial descending instruction to the precision compression motor, and the compression plate starts to descend at a slow speed. At the same time, the ultrasonic ranging sensor monitors the distance between the compression plate and the surface of the garbage in real time, so as to avoid the compression plate from descending too fast and colliding with the garbage.

[0045] When the distance between the compression plate and the surface of the garbage reaches a preset range, the main control MCU sends a starting instruction to the micro radio frequency impedance sensor. The sensor immediately emits a radio frequency signal of a specific frequency and continuously collects the reflected signal. In order to ensure the reliability of the data, the sensor will continuously collect multiple groups of signals until it obtains stable complex impedance data and then stops.

[0046] The complex impedance data is transmitted to the impedance signal processing unit through the communication line, and after demodulation, filtering and feature extraction processing, it is converted into a standardized dielectric constant characteristic value. The characteristic value is then transmitted to the embedded classification algorithm unit. The algorithm unit calls the K nearest neighbor model, compares the current characteristic value with the templates in the sample set, and outputs the material classification result (kitchen waste, dry waste, metal hard object).

[0047] The classification result is transmitted to the intelligent strategy controller, which combines the ultrasonic trigger signal and the initial data of the pressure sensor to preliminarily determine the subsequent compression and deodorization strategy.

[0048] Kitchen waste compression process: After receiving the kitchen waste classification result, the intelligent strategy controller sends a gentle slow compression control instruction to the precision compression motor. The motor drives the compression plate to descend at a preset slow speed. During the compression process, the high-precision pressure sensor collects pressure data in real time and feeds back to the controller. If the pressure is too low, the controller fine-tunes the motor output to increase the pressure to ensure the compression effect. If the pressure is too high, it immediately reduces the pressure to avoid kitchen waste juice overflow. When the compression plate descends to the preset stroke (or the pressure reaches the preset upper limit), the controller sends a stop instruction to the motor. After a short pause of a few seconds (to keep the garbage in a compressed state and reduce rebound), the motor drives the compression plate to rise to the initial position, and the compression process is completed.

[0049] If the classification result is dry garbage, the intelligent strategy controller sends a strong fast compression control instruction. The motor drives the compression plate to descend at a preset high speed and high output pressure. Dry garbage has no obvious juice and can withstand high pressure. Fast compression can greatly reduce the volume of garbage and increase the storage capacity of the garbage can. During the compression process, the pressure sensor monitors the pressure data in real time. When the pressure reaches the preset high pressure threshold or the compression plate reaches the preset stroke, the motor stops running. Then the compression plate rises to the initial position, completing the compression.

[0050] If the classification result is metal hard object, the intelligent strategy controller immediately starts the safety protection mechanism: sends an emergency stop instruction to the precision compression motor, the motor stops running to avoid rigid collision between the compression plate and the metal hard object; at the same time, sends a reverse instruction, the motor drives the compression plate to quickly rise to the initial position; the controller sends an abnormal prompt instruction to the state prompt module at the same time, the LED red indicator light is always on with intermittent flashing, the buzzer emits intermittent prompt sound, reminding the user to take out the metal hard object in the can, until the user takes out the hard object and presses the reset button, the system clears the abnormal state, the green indicator light is always on again, and the standby mode is restored.

[0051] When the intelligent strategy controller determines that the garbage is kitchen waste, it marks it as a high-risk odor source and sends a biological enzyme spray instruction to the dual-mode deodorization module. After receiving the instruction, the biological enzyme micro-spray tank on the inside of the can wall sprays an appropriate amount of biological enzyme catalyst to the surface of the garbage. Biological enzymes can quickly decompose organic matter such as proteins and fats on the surface of kitchen waste, inhibiting odor generation from the source. After biological enzyme spraying is completed, the controller delays for a few seconds (to ensure that the biological enzyme is fully attached and functions), and then sends a start instruction to the photocatalytic oxidation module. The module starts the ultraviolet photocatalytic component to degrade residual odor molecules and organic matter in the can, further strengthening the deodorization effect. The photocatalytic module automatically shuts down after running for a preset period of time to avoid energy waste.

[0052] If the garbage is dry garbage, the intelligent strategy controller directly sends a photocatalysis starting instruction to the dual-mode deodorization module, and the photocatalysis oxidation module starts: the active substances generated by the ultraviolet photocatalysis assembly can decompose the volatile odor substances (such as the slight odor of plastics and paper) released by dry garbage, maintain the fresh air in the barrel, and the photocatalysis module automatically turns off after running for a preset length of time, and the system returns to the standby state.

[0053] After the compression and odor control process is completed, the main control MCU sends a sleep instruction to each module: the micro radio frequency impedance sensor and the high-precision pressure sensor of the sensing layer stop working, the precise compression motor and the dual-mode deodorization module of the execution layer enter a low-power state, the yellow indicator light of the state prompt module is turned off, the green indicator light is turned on again, only the ultrasonic ranging sensor maintains a low-frequency detection state, the system returns to the standby mode, waits for the next garbage disposal to trigger a new working cycle, if the system detects an abnormality (such as sensor data interruption, motor overload, and sudden pressure increase) during the working process, the sleep process is suspended, and a fault prompt (red indicator light flashing + buzzer sounding) is issued through the state prompt module, until the user checks and solves the fault, presses the reset button, and the system returns to the standby state.

[0054] The adaptive compression and odor control intelligent garbage can system provides a new solution for garbage disposal through its intelligent design and efficient execution mechanism, not only improves the efficiency of garbage disposal, but also improves the quality of the surrounding environment, has broad application prospects and important social significance.

[0055] The same or similar reference signs correspond to the same or similar components; The positional relationship described in the drawings is only used for illustrative description, and cannot be understood as a limitation on the patent; Obviously, the above embodiments of the present application are only examples for clearly illustrating the present application, and are not intended to limit the implementation modes of the present application. For those skilled in the art, on the basis of the above description, other different forms of changes or variations can be made, here, all the implementation modes do not need to be exhausted, and it is impossible to exhaust all the implementation modes, any modification, equivalent replacement and improvement made within the spirit and principle of the present application should be included in the protection scope of the claims of the present application.

Claims

1. A smart trash can system with adaptive compression and odor control, characterized in that, The system comprises a perception layer module, a control and decision layer module and an execution layer module; the perception layer module is in communication connection with the control and decision layer module, and the control and decision layer module is in communication connection with the execution layer module; The perception layer module is used for collecting the height information, material characteristic information and pressure information of the garbage in the garbage can during compression; The control and decision layer module is used for receiving the data collected by the perception layer module, classifying and identifying the garbage material, and generating compression control instructions and odor control instructions according to the identification results; The execution layer module is used for executing corresponding compression actions in response to the compression control instructions, and executing corresponding odor treatment actions in response to the odor control instructions, so as to realize adaptive compression and odor control of the garbage can.

2. The smart trash can system of adaptive compression and odor control of claim 1, wherein, The perception layer module comprises an ultrasonic ranging sensor, a micro radio frequency impedance sensor and a high-precision pressure sensor; The ultrasonic ranging sensor is arranged at the top of the inner side of the garbage can mouth and is used for detecting the height of the garbage in the garbage can; when the height of the garbage is detected to be higher than a preset threshold, a working cycle trigger signal is generated and sent to the control and decision layer module; The micro radio frequency impedance sensor is integrated at the front end of the compression plate of the garbage can, and is used for emitting a specific frequency radio frequency signal and collecting a reflected signal when the compression plate is close to the garbage surface by a preset distance, so as to generate complex impedance data of the garbage material; The high-precision pressure sensor is arranged at the connection part of the compression plate and the compression motor, and is used for collecting real-time pressure data during compression and sending the data to the control and decision layer module to realize pressure feedback control.

3. The smart trash can system of adaptive compression and odor control of claim 2, wherein, The control and decision layer module comprises a main control MCU, an impedance signal processing unit, an embedded classification algorithm unit and an intelligent strategy controller; The main control MCU is electrically connected with the impedance signal processing unit, the embedded classification algorithm unit and the intelligent strategy controller respectively; The impedance signal processing unit is used for receiving the complex impedance data sent by the micro radio frequency impedance sensor, demodulating and extracting features of the data, and obtaining dielectric constant characteristic values of the garbage; The embedded classification algorithm unit is built-in with a lightweight machine learning model, which is used for classifying the dielectric constant characteristic values into three types of material results, i.e., high dielectric constant kitchen garbage, medium dielectric constant dry garbage and conductive metal hard objects; The intelligent strategy controller is used for generating corresponding compression control instructions and odor control instructions according to the material classification results, the trigger signal of the ultrasonic ranging sensor and the pressure data of the high-precision pressure sensor.

4. The smart trash can system of adaptive compression and odor control of claim 3, wherein, The lightweight machine learning model is a K-nearest neighbor algorithm model; the K-nearest neighbor algorithm model is trained by a pre-collected dielectric constant characteristic value sample set of different materials of garbage, i.e., kitchen garbage, dry garbage and metal hard objects, and can complete garbage material classification within milliseconds.

5. The smart trash can system of adaptive compression and odor control of claim 1, wherein, The execution layer module comprises a precision compression motor, a dual-mode deodorization module and a state prompting module; The precision compression motor is electrically connected with the intelligent strategy controller of the control and decision layer module, and is used for receiving the compression control instructions and executing compression actions in different modes; The dual-mode deodorization module is electrically connected with the intelligent strategy controller, and is used for receiving the odor control instructions and executing corresponding odor treatment actions. The state prompt module is electrically connected with the intelligent strategy controller, and is configured to receive a state control instruction and display a working state and an abnormality prompt of the garbage can.

6. The smart trash can system of adaptive compression and odor control of claim 5, wherein, The precision compression motor supports three working modes: When the control and decision layer module determines that the garbage is high-dielectric-constant kitchen garbage, a soft and slow compression control instruction is received to perform a compression action with a preset medium pressure value and a preset slow rotating speed; When the control and decision layer module determines that the garbage is medium-dielectric-constant dry garbage, a strong and fast compression control instruction is received to perform a compression action with a preset high pressure value and a preset fast rotating speed; When the control and decision layer module determines that the garbage is a conductive metal hard object, an emergency stop and reverse control instruction is received to immediately stop the compression action and drive the motor to reverse, so that the compression plate is lifted back to the initial position.

7. The smart trash can system of adaptive compression and odor control of claim 5, wherein, The dual-mode deodorization module includes a biological enzyme micro-spray tank and a photocatalytic oxidation module; The biological enzyme micro-spray tank is arranged at the top of the inner side of the garbage can wall, and is provided with a biological enzyme catalyst. When the control and decision layer module determines that the garbage is high-dielectric-constant kitchen garbage and marks it as a high-risk odor source, a biological enzyme spray control instruction is received to spray the biological enzyme catalyst to the surface of the garbage. The photocatalytic oxidation module is arranged on the inner side of the garbage can cover, and is provided with an ultraviolet light catalysis assembly. When the garbage is determined to be medium-dielectric-constant dry garbage or after the biological enzyme spray is completed, a photocatalytic purification control instruction is received to start the ultraviolet light catalysis assembly to purify the air.

8. The smart trash can system of adaptive compression and odor control of claim 5, wherein, The state prompt module includes an LED indicator light group, which includes a green indicator light, a yellow indicator light and a red indicator light. When the system is in a normal standby state, the green indicator light is always on. When the system performs a compression or deodorization action, the yellow indicator light flashes. When the system detects a conductive metal hard object and terminates the compression, the red indicator light is always on and flashes intermittently, and a buzzer is triggered to emit a prompt sound to prompt the user to remove the hard object.

9. The smart trash can system of adaptive compression and odor control of claim 2, wherein, The working trigger condition of the micro radio frequency impedance sensor is that, when the ultrasonic distance sensor detects that the distance between the compression plate and the surface of the garbage is a preset value during the descent of the compression plate, the control and decision layer module sends a start instruction to the micro radio frequency impedance sensor, and the sensor immediately emits a specific frequency radio frequency signal and continuously collects reflected signals until stable complex impedance data are obtained.

10. The smart trash can system of adaptive compression and odor control of claim 1, wherein, The system further includes a low-power sleep module, which is electrically connected with the main control MCU. After the system completes a compression and odor control process, the main control MCU controls the sensing layer module and the execution layer module to enter a low-power mode, and only the ultrasonic distance sensor is in a low-frequency detection state. When the ultrasonic distance sensor detects that the garbage height exceeds the preset threshold value again, the low-power sleep module wakes up the modules of the system and starts a new working cycle.

Images