阅读说明：本技术 一种基于物联网的垃圾分类系统 (Garbage classification system based on Internet of things ) 是由 何德全 于 2020-11-16 设计创作，主要内容包括：本发明涉及垃圾分类技术领域,具体为一种基于物联网的垃圾分类系统,包括AI人机交互模块、垃圾投入模块、垃圾称重模块、垃圾袋识别模块、垃圾分类运输模块、垃圾分类存放模块、监测模块、信息处理模块、通讯协议模块、后台管理模块、数据存储模块和垃圾袋投出模块,垃圾检测模块与垃圾抓取模块连接,垃圾抓取模块与人工分拣仓连接,垃圾检测模块用于检测垃圾分类存放模块内的分类垃圾,垃圾抓取模块用于将垃圾分类存放模块内的分类不合格的垃圾进行抓取,然后移送到人工分拣仓内。本发明对分类垃圾进行多次识别和分拣,并将分类错误的垃圾抓取投入到人工分拣仓内再次进行分类处理,提高垃圾分类的准确性,提高垃圾分类的效果。(The invention relates to the technical field of garbage classification, in particular to a garbage classification system based on the Internet of things, which comprises an AI (human-computer interaction) module, a garbage input module, a garbage weighing module, a garbage bag recognition module, a garbage classification and transportation module, a garbage classification and storage module, a monitoring module, an information processing module, a communication protocol module, a background management module, a data storage module and a garbage bag output module, wherein the garbage detection module is connected with a garbage grabbing module, the garbage grabbing module is connected with a manual sorting bin, the garbage detection module is used for detecting classified garbage in the garbage classification and storage module, and the garbage grabbing module is used for grabbing unqualified classified garbage in the garbage classification and storage module and then sorting the unqualified garbage in the manual bin. The invention identifies and sorts the classified garbage for multiple times, and snatchs the garbage with wrong classification and puts the garbage into the manual sorting bin for classification again, thereby improving the accuracy of garbage classification and improving the effect of garbage classification.)

1. A garbage classification system based on the Internet of things is characterized by comprising an AI man-machine interaction module, a garbage input module, a garbage weighing module, a garbage bag identification module, a garbage classification transportation module, a garbage classification storage module, a garbage detection module, a garbage grabbing module, a manual sorting bin, a monitoring module, an information processing module, a communication protocol module, a background management module, a data storage module and a garbage bag output module;

the AI man-machine interaction module is respectively connected with the garbage weighing module, the garbage bag throwing-out module and the data storage module, the garbage weighing module is respectively connected with the garbage throwing-in module and the garbage bag identification module, the garbage bag identification module is respectively connected with the garbage classification transportation module and the garbage bag throwing-out module, the garbage classification transportation module is connected with the garbage classification storage module, and the monitoring module is respectively connected with the garbage classification storage module and the garbage bag throwing-out module;

the garbage classified storage module is connected with the garbage detection module, the garbage detection module is connected with the garbage grabbing module, the garbage grabbing module is connected with the manual sorting bin, the garbage detection module is used for detecting classified garbage in the garbage classified storage module, and the garbage grabbing module is used for grabbing unqualified classified garbage in the garbage classified storage module and then transferring the unqualified classified garbage into the manual sorting bin;

the monitoring module is connected with the information processing module, the information processing module is respectively connected with the data storage module and the communication protocol module, and the communication protocol module is connected with the background management module.

2. The internet of things-based garbage classification system according to claim 1, wherein: the garbage classification storage module is connected with a fire-fighting safety module which is a fire extinguisher and comprises a recyclable garbage can, other garbage cans, a kitchen garbage can and a harmful garbage can.

3. The internet of things-based garbage classification system according to claim 1, wherein: the AI man-machine interaction module comprises an identity recognition login module, a garbage bag selection module and a garbage throwing weight query module, wherein the identity recognition login module, the garbage bag selection module and the garbage throwing weight query module are sequentially connected, and the garbage bag selection module is connected with the garbage bag throwing module.

4. The internet of things-based garbage classification system according to claim 1, wherein: the garbage bag throwing-out module comprises a recyclable garbage bag, other garbage bags, kitchen garbage bags and harmful garbage bags.

5. The internet of things-based garbage classification system according to claim 1, wherein: the garbage bag identification module and the garbage detection module are high-definition cameras, and the garbage bag identification module is used for identifying the type of a garbage bag thrown into the garbage throwing module.

6. The internet of things-based garbage classification system according to claim 1, wherein: the monitoring module comprises an infrared sensor, a smoke sensor, an odor sensor and an infrared counter, the infrared sensor, the smoke sensor and the odor sensor are arranged in the garbage classification storage module, and the infrared counter is arranged in the garbage bag throwing-out module.

7. The internet of things-based garbage classification system according to claim 1, wherein: the background management module comprises an alarm module and a garbage cleaning vehicle, the alarm module is a buzzer light alarm, and the garbage cleaning vehicle is used for collecting and cleaning garbage stored in the garbage classification storage module.

8. The internet of things-based garbage classification system according to claim 1, wherein: further comprising:

the recording module is connected with the monitoring module;

the expense calculation module is connected with the recording module and the garbage weighing module;

the first control module is respectively connected with the recording module and the expense calculation module;

the monitoring module is used for monitoring whether the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bag;

the recording module is configured to:

when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bag, the garbage classification of the user is accurate, the accurate classification information of the user is recorded, and the garbage classification integral is increased;

when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is not matched with the garbage bag, the garbage classification of the user is wrong, the wrong classification information of the user is recorded, and the garbage classification integral is reduced;

the fee calculation module is used for:

receiving the garbage classification integral of the user recorded by the recording module, inquiring a preset garbage classification integral-reward punishment table according to the garbage classification integral, and acquiring reward punishment cost corresponding to the garbage classification integral;

receiving garbage weighing information sent by the garbage weighing module, acquiring unit price information of garbage according to garbage types, calculating to obtain value information of the garbage according to the unit price information and the garbage weighing information, and calculating to obtain cost information of the user for putting the garbage at the current time according to the value information and reward and punishment cost;

the first control module is configured to:

receiving the expense information calculated by the expense calculation module and sending the expense information to the user terminal through a communication module;

receiving user accurate classification information and user wrong classification information sent by the recording module, inputting the user accurate classification information and the user wrong classification information into a pre-trained garbage classification capability grade estimation model, outputting the garbage classification capability grade of the user, and judging whether the garbage classification capability grade of the user is smaller than a preset grade or not; when the garbage classification capability level of the user is determined to be smaller than a preset level, sending a first garbage classification explanation video to the user terminal; and otherwise, sending the second garbage classification explanation video to the user terminal.

9. The internet of things-based garbage classification system according to claim 1, wherein: the system also comprises a liquid garbage treatment module, a second control module and an alarm module;

the garbage classification storage module comprises a solid garbage storage module and a liquid garbage storage module;

the liquid garbage treatment module is used for filtering and treating the liquid garbage flowing out of the liquid garbage storage module by chemical agents, and discharging the liquid garbage after the liquid garbage is determined to meet the discharge standard after the liquid garbage is filtered and treated by the chemical agents;

the liquid garbage treatment module comprises a filter screen;

the second control module is used for calculating the pressure drop of the filter screen during the filtering treatment, indicating that the filter screen is blocked when the pressure drop is determined to be larger than the preset pressure drop, and controlling the alarm module to send out an alarm prompt;

the calculating the pressure drop P of the filter screen comprises the following steps:

wherein lambda is the viscosity coefficient of the liquid waste passing through the filter screen; s₁Presetting unit area of the filter screen; l is₁The aperture of the filter screen; l is₂The thickness of the filter screen; h is the thickness of the filtering impurities attached to the filter screen; q is the flow rate of the liquid waste passing through the filter screen; v is the preset unit volume of the filter screen; s₂Is the cross section of the filtering impurities attached to the filter screen.

10. The internet of things-based garbage classification system according to claim 1, wherein: the communication protocol module is an RS-485 communication protocol.

Technical Field

The invention relates to a garbage classification system, in particular to a garbage classification system based on the Internet of things, and belongs to the technical field of garbage classification.

Background

The garbage classification generally refers to a general term of a series of activities for classifying, storing, putting in and carrying garbage according to a certain rule or standard so as to convert the garbage into public resources, and the classification aims to improve the resource value and economic value of the garbage, make full use of the garbage, reduce the garbage treatment capacity and treatment equipment, reduce the treatment cost, reduce the consumption of land resources and have social, economic and ecological benefits.

The garbage belongs to the private articles of the public in the classified storage stage, the garbage becomes regional quasi-public resources of a community or a community where the public is located after being put in by the public classification, the garbage becomes public resources without exclusivity after being classified and carried to a garbage concentration point or a transfer station, and the garbage is classified mostly according to the components and the yield of the garbage and by combining the resource utilization and the treatment mode of local garbage and the like from the method of classifying the domestic garbage in various cities at home and abroad.

The purpose of garbage classification is to carry out shunting treatment on wastes, utilize the existing production and manufacturing capacity, recycle and recycle recovered products, including material utilization and energy utilization, and landfill disposal of useless garbage which can not be utilized temporarily, the garbage classification is an improvement of the traditional garbage collection and disposal mode, and is a scientific management method for effectively disposing garbage, people face the situation that the increasing garbage yield and environmental condition are worsened, how to realize the garbage resource utilization to the maximum extent through the garbage classification management, reduce the garbage disposal quantity, and improve the living environment state is an urgent problem which is commonly concerned by countries in the world at present, the reason of garbage increase is that the living standard of people is improved, various consumption is increased, and according to statistics, the clearing and transportation quantity of the urban garbage in the whole country in 1979 is more than 2500 million tons, and the clearing and transportation cost of the urban garbage in 1996 is 1.16 yuan/ton, the method is 4 times that of 1979, and garbage classification is to put garbage classification at the source and turn the garbage classification into resources again through the clearing and recycling of the classification.

The existing garbage classification mainly depends on the consciousness of users to classify and discard, a lot of users directly put garbage in a garbage bag to discard or the users do not know how to classify the garbage, so that the garbage can not be classified again after entering the garbage classification storage position, the accuracy of the garbage classification is low, and the classification effect is poor.

Disclosure of Invention

The invention aims to provide a garbage classification system based on the Internet of things.

In order to achieve the purpose, the invention adopts the main technical scheme that:

a garbage classification system based on the Internet of things comprises an AI man-machine interaction module, a garbage input module, a garbage weighing module, a garbage bag identification module, a garbage classification transportation module, a garbage classification storage module, a monitoring module, an information processing module, a communication protocol module, a background management module, a data storage module and a garbage bag output module, wherein the AI man-machine interaction module is respectively connected with the garbage weighing module, the garbage bag output module and the data storage module, the garbage weighing module is respectively connected with the garbage input module and the garbage bag identification module, the garbage bag identification module is respectively connected with the garbage classification transportation module and the garbage bag output module, the garbage classification transportation module is connected with the garbage classification storage module, the monitoring module is respectively connected with the garbage classification storage module and the garbage bag output module, the garbage classification storage module is connected with the garbage detection module, the garbage detection module is connected with the garbage grabbing module, the garbage grabbing module is connected with the manual sorting bin, the garbage detection module is used for detecting classified garbage in the garbage classification storage module, the garbage grabbing module is used for grabbing unqualified classified garbage in the garbage classification storage module and then transferring the unqualified classified garbage into the manual sorting bin, the monitoring module is connected with the information processing module, the information processing module is respectively connected with the data storage module and the communication protocol module, and the communication protocol module is connected with the background management module.

Preferably, the garbage classification storage module is connected with a fire safety module, the fire safety module is a fire extinguisher, and the garbage classification storage module comprises a recyclable garbage can, other garbage cans, a kitchen garbage can and a harmful garbage can.

Preferably, the AI human-computer interaction module comprises an identity recognition login module, a garbage bag selection module and a garbage throwing weight query module, the identity recognition login module, the garbage bag selection module and the garbage throwing weight query module are sequentially connected, and the garbage bag selection module is connected with the garbage bag throwing module.

Preferably, the garbage bag throwing-out module comprises a recyclable garbage bag, other garbage bags, kitchen garbage bags and harmful garbage bags.

Preferably, the garbage bag identification module and the garbage detection module are both high-definition cameras, and the garbage bag identification module is used for identifying the type of garbage bags thrown into the garbage throwing module.

Preferably, the monitoring module comprises an infrared sensor, a smoke sensor, an odor sensor and an infrared counter, the infrared sensor, the smoke sensor and the odor sensor are arranged in the garbage classification storage module, and the infrared counter is arranged in the garbage bag throwing-out module.

Preferably, the background management module comprises an alarm module and a garbage cleaning vehicle, the alarm module is a buzzer light alarm, and the garbage cleaning vehicle is used for collecting and cleaning garbage stored in the garbage classification storage module.

In one embodiment, the method further comprises:

the recording module is connected with the monitoring module;

the expense calculation module is connected with the recording module and the garbage weighing module;

the first control module is respectively connected with the recording module and the expense calculation module;

the monitoring module is used for monitoring whether the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bag;

the recording module is configured to:

when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bag, the garbage classification of the user is accurate, the accurate classification information of the user is recorded, and the garbage classification integral is increased;

when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is not matched with the garbage bag, the garbage classification of the user is wrong, the wrong classification information of the user is recorded, and the garbage classification integral is reduced;

the fee calculation module is used for:

receiving the garbage classification integral of the user recorded by the recording module, inquiring a preset garbage classification integral-reward punishment table according to the garbage classification integral, and acquiring reward punishment cost corresponding to the garbage classification integral;

receiving garbage weighing information sent by the garbage weighing module, acquiring unit price information of garbage according to garbage types, calculating to obtain value information of the garbage according to the unit price information and the garbage weighing information, and calculating to obtain cost information of the user for putting the garbage at the current time according to the value information and reward and punishment cost;

the first control module is configured to:

receiving the expense information calculated by the expense calculation module and sending the expense information to the user terminal through a communication module;

receiving user accurate classification information and user wrong classification information sent by the recording module, inputting the user accurate classification information and the user wrong classification information into a pre-trained garbage classification capability grade estimation model, outputting the garbage classification capability grade of the user, and judging whether the garbage classification capability grade of the user is smaller than a preset grade or not; when the garbage classification capability level of the user is determined to be smaller than a preset level, sending a first garbage classification explanation video to the user terminal; and otherwise, sending the second garbage classification explanation video to the user terminal.

In one embodiment, the system further comprises a liquid garbage treatment module, a second control module and an alarm module;

the garbage classification storage module comprises a solid garbage storage module and a liquid garbage storage module;

the liquid garbage treatment module is used for filtering and treating the liquid garbage flowing out of the liquid garbage storage module by chemical agents, and discharging the liquid garbage after the liquid garbage is determined to meet the discharge standard after the liquid garbage is filtered and treated by the chemical agents;

the liquid garbage treatment module comprises a filter screen;

the second control module is used for calculating the pressure drop of the filter screen during the filtering treatment, indicating that the filter screen is blocked when the pressure drop is determined to be larger than the preset pressure drop, and controlling the alarm module to send out an alarm prompt;

the calculating the pressure drop P of the filter screen comprises the following steps:

wherein lambda is the viscosity coefficient of the liquid waste passing through the filter screen; s₁Presetting unit area of the filter screen; l is₁The aperture of the filter screen; l is₂The thickness of the filter screen; h is the thickness of the filtering impurities attached to the filter screen; q is the flow rate of the liquid waste passing through the filter screen; v is the preset unit volume of the filter screen; s₂Is the cross section of the filtering impurities attached to the filter screen.

In one embodiment, the communication protocol module is an RS-485 communication protocol.

The invention has at least the following beneficial effects:

1. through rubbish detection module, can deposit the categorised rubbish in the module to waste classification and carry out kind discernment, when categorised rubbish letter sorting deposits the mistake, rubbish snatchs the module and can snatch the rubbish of categorised mistake then drop into artifical letter sorting storehouse in, when the refuse collection clearance, carries out classification again by the manual work, improves waste classification's accuracy and classification effect.

2. Through the use of the garbage bag throwing-out module, the garbage bag identification module and the garbage bag selection module, the garbage bag can be automatically or autonomously selected, the user can use the garbage bag more conveniently, the same garbage bag is used simultaneously, the garbage bag identification module can conveniently identify the garbage bag, the garbage classification operation is facilitated, and the garbage classification effect is improved.

3. The user can look over the rubbish weight of abandoning through rubbish input weight inquiry module on the AI man-machine interaction module, can look over the accumulative rubbish weight of abandoning simultaneously, and backstage management module divides the distribution that carries out cleaning work according to the rubbish weight of abandoning of this district, makes things convenient for rubbish cleanness.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a schematic diagram of the system of the present invention;

FIG. 2 is a schematic diagram of an AI human-computer interaction module according to the present invention;

FIG. 3 is a schematic view of a disposal bag ejection module according to the present invention;

FIG. 4 is a schematic view of a garbage classification storage module according to the present invention;

FIG. 5 is a schematic view of a monitoring module of the present invention;

FIG. 6 is a diagram of a background management module according to the present invention.

Detailed Description

Embodiments of the present application will be described in detail with reference to the drawings and examples, so that how to implement technical means to solve technical problems and achieve technical effects of the present application can be fully understood and implemented.

As shown in fig. 1 to 6, the internet-of-things-based garbage classification system provided in this embodiment includes an AI human-machine interaction module, a garbage input module, a garbage weighing module, a garbage bag identification module, a garbage classification transportation module, a garbage classification storage module, a monitoring module, an information processing module, a communication protocol module, a background management module, a data storage module, and a garbage bag output module, where the AI human-machine interaction refers to an intelligent behavior embodied through conversation and interaction, and generally, the intelligent system interacts with a user or an environment and implements learning and modeling in the interaction, and the human-machine interaction is a most challenging and comprehensive technology of artificial intelligence, covers various aspects such as semantic understanding, knowledge representation, language generation, logic and inference, and mainly includes but is not limited to the following researches: the universal question-answering system comprises automatic question answering, reading understanding and the like; a task or goal type dialog system; the open field chat system, the general question-answering system, aim at finding accurate information answer user's question from structuring, unstructured, belong to the conversation system of the single round, task or goal type conversation system, need realize a specific task or goal through the interaction, such as various intelligent assistants, order tickets, order the meal system, etc., open field chat system, such as Microsoft's small ice, focus on with user's chat, emotion exchange and accompany, it is important basis and prerequisite that the social robot walks into thousands of households, as the concept of the wider man-machine interaction, the interactive system not merely regards natural language as the carrier, more comprehensive application image, multimedia information such as the voice, make the machine understand the environment that oneself locates, demonstrate the intellectual behavior according with the situation;

the AI man-machine interaction module is respectively connected with the garbage weighing module, the garbage bag throwing-out module and the data storage module, the garbage weighing module is a weighing sensor, the weighing sensor is an XSCE weighing sensor and is used for weighing garbage thrown in by the garbage throwing-in module, the AI man-machine interaction module comprises an identity recognition login module, a garbage bag selection module and a garbage throwing-in weight query module, the identity recognition login module, the garbage bag selection module and the garbage throwing-in weight query module are sequentially connected, the identity recognition login module comprises a fingerprint recognition login module, an account password recognition login module and a face recognition login module, the face recognition module is a biological recognition technology for carrying out identity recognition based on face characteristic information of a person, an image or video stream containing the face is collected by a camera or a camera, the face is automatically detected and tracked in the image, and then a series of related technologies for carrying out face recognition on the detected face, the face recognition system mainly comprises four components, namely: human face image acquisition and detection, human face image preprocessing, human face image feature extraction, matching and recognition, the traditional human face recognition technology is mainly based on the human face recognition of visible light images, which is also a familiar recognition mode, however, this method has the defect that it is difficult to overcome, especially when the ambient illumination changes, the recognition effect will drop sharply, and the needs of the actual system cannot be satisfied, and the solutions to the illumination problem include three-dimensional image face recognition and thermal imaging face recognition, however, the two technologies are still far from being mature, the recognition effect is not satisfactory, and a solution developed rapidly is a multi-light source face recognition technology based on active near-infrared images, which can overcome the influence of light change, has achieved excellent recognition performance, the overall system performance in terms of accuracy, stability and speed exceeds that of three-dimensional image face recognition. The technology is rapidly developed in two or three years, the face recognition technology gradually goes to practicability, the face is as inherent as other biological characteristics of a human body, the uniqueness and the good characteristic of being not easy to copy provide necessary premises for identity identification, and compared with other types of biological recognition, the face recognition technology has the following characteristics, not mandatory: the user does not need to specially cooperate with the human face acquisition equipment, and can almost acquire the human face image in an unconscious state, and the sampling mode has no 'mandatory' and is non-contact: the user can obtain the face image without directly contacting with the equipment, and the concurrency is as follows: the method can be used for sorting, judging and identifying a plurality of faces in an actual application scene, and in addition, the method also conforms to the visual characteristics: the characteristic of people being identified by appearance, simple operation, visual result, good concealment and the like;

the garbage classification storage module is connected with the garbage detection module, the garbage detection module is connected with the garbage grabbing module, the garbage grabbing module is connected with the manual sorting bin, the garbage detection module is used for detecting classified garbage in the garbage classification storage module, the garbage grabbing module is used for grabbing unqualified classified garbage in the garbage classification storage module and then transferring the unqualified classified garbage to the manual sorting bin, the classified garbage in the garbage classification storage module can be subjected to type identification through the garbage detection module, when the classified garbage is sorted and stored wrongly, the garbage grabbing module can grab wrong classified garbage and then throw the wrong garbage into the manual sorting bin, and when the garbage is collected and cleaned, the garbage is classified manually, so that the accuracy and the classification effect of garbage classification are improved;

the garbage bag selecting module is connected with the garbage bag throwing module, the garbage bag throwing module comprises recyclable garbage bags, other garbage bags, kitchen garbage bags and harmful garbage bags, the garbage weighing module is respectively connected with the garbage throwing module and the garbage bag identification module, the garbage bag identification module is respectively connected with the garbage classified transportation module and the garbage bag throwing module, the garbage bag identification module and the garbage detection module are high-definition cameras, the high-definition cameras are DH-PSD8839-A180 high-definition cameras, the garbage bag identification module is used for identifying the types of the garbage bags thrown by the garbage throwing module, the garbage classified transportation module is connected with the garbage classified storage module, the garbage classified storage module is connected with the fire-fighting safety module, the fire-fighting safety module is a fire extinguisher, and the garbage classified storage module comprises a recyclable garbage can, other garbage cans, a garbage bin, the garbage can comprises a kitchen garbage can and a harmful garbage can, a monitoring module is respectively connected with a garbage classification storage module and a garbage bag throwing-out module, the monitoring module comprises an infrared sensor, a smoke sensor, a smell sensor and an infrared counter, the infrared sensor, the smoke sensor and the smell sensor are arranged in the garbage classification storage module, the infrared sensor is a KDS209 infrared sensor, the smoke sensor is a D4240 smoke sensor, the smell sensor is a TGS2600 smell sensor, the infrared counter is arranged in the garbage bag throwing-out module, the infrared counter is a JDM11-6H infrared counter, the monitoring module is connected with an information processing module, the information processing module is respectively connected with a data storage module and a communication protocol module, the communication protocol module is connected with a background management module, the background management module comprises an alarm module and a garbage cleaning vehicle, and the alarm module is a buzzing light alarm, the garbage cleaning vehicle is used for collecting garbage stored in the garbage sorting and storing module, a user firstly uses an identity recognition login module on the AI man-machine interaction module to register and login, one account of one user can be set in one cell, a whole family uses one account to log in, then the discarded garbage is thrown into the module from the garbage throwing module, then the discarded garbage is weighed by the garbage weighing module, the thrown garbage bag is recognized by the garbage bag recognition module, then the recognized garbage bags are respectively thrown into the recyclable garbage can, other garbage cans, kitchen garbage cans and harmful garbage cans in the garbage sorting and storing module by the garbage sorting and transporting module, weighing information and discarded garbage bag information are respectively transmitted to the garbage processing module and the garbage bag throwing module, the garbage bag throwing module throws out a same garbage bag according to the received garbage bag information, meanwhile, the user can independently select the needed classified garbage bags according to the garbage bag selection module on the AI man-machine interaction module, through the use of the garbage bag throwing-out module, the garbage bag identification module and the garbage bag selection module, the garbage bag can be automatically or automatically selected, the use is more convenient for users, meanwhile, the same garbage bags are used, so that the garbage bag identification module can conveniently identify the garbage bags, the garbage classification operation is convenient, the garbage classification effect is improved, after the garbage is put into the garbage classification storage module, the monitoring module in the garbage classification storage module can automatically monitor the capacity state, smell information and whether open fire smoke occurs in the garbage classification storage module, meanwhile, the information is sent to the background management module through the communication protocol module, and the background management module can judge whether a garbage cleaning vehicle needs to be dispatched to collect and clean the garbage in the garbage classification storage module according to the feedback information;

meanwhile, when open fire and smoke occur in the garbage classification storage module, the alarm module can give out an alarm sound to remind background management personnel to timely inform management personnel of the area to put out a fire, the safety of garbage discarding and storage is improved, meanwhile, the garbage weighing module can send weighing information to the information processing module and further store the weighing information into the data storage module, a user can check the weight of the discarded garbage through the garbage putting weight inquiry module on the AI man-machine interaction module, the accumulated weight of the discarded garbage can be checked, the background management module divides the weight of the discarded garbage according to the weight of the discarded garbage in the community to distribute cleaning work, and the garbage classification can be conveniently used;

the communication protocol module is an RS-485 communication protocol, and the RS-485 bus standard specifies the electrical characteristic standard of the bus interface, namely the definition of 2 logic states: the positive level is between +2V to +6V, which represents a logic state; a negative level between-2V and-6V represents another logic state; the digital signals adopt a differential transmission mode, which can effectively reduce the interference of noise signals, but the RS-485 bus standard does not make clear provisions for the relevant application layer communication protocol in the communication network, so that users or relevant developers can establish the applicable high-level communication protocol standard related to own communication network equipment, and meanwhile, in the field of the RS-485 bus communication network applied in the industrial control field, the number of distributed industrial network control units is usually large and the distribution among various industrial equipment is far, so that various interferences exist in the field bus communication network, which causes the reliability of the communication efficiency of the whole communication network to be low, and the reliability of data transmission in the whole network directly affects the reliability of the whole field bus communication system, therefore, the research on the communication reliability of the RS-485 bus communication system has practical significance, and the interference of noise signals can be effectively reduced by adopting a differential transmission mode for digital signals.

As shown in fig. 1 to 6, the principle of the internet of things-based garbage classification system provided in this embodiment is as follows: the user firstly uses the identity recognition login module on the AI man-machine interaction module to register and login, one account of one user can be set in one district, the whole family uses one account to log in, then the discarded garbage is thrown into the module from the garbage throwing module, then the discarded garbage is weighed by the garbage weighing module, the thrown garbage bag is recognized by the garbage bag recognition module, then the recognized garbage bag is classified by the garbage classification transportation module and thrown into the recyclable garbage can, other garbage cans, kitchen garbage cans and harmful garbage cans in the garbage classification storage module, the weighing information and the discarded garbage bag information are respectively transmitted to the information processing module and the garbage bag throwing module, the garbage bag throwing module throws out one same garbage bag according to the received garbage bag information, and simultaneously the user can independently select the needed classified garbage bag according to the garbage bag selection module on the AI man-machine interaction module, after the garbage is thrown into the garbage classification storage module, a monitoring module in the garbage classification storage module can automatically monitor the capacity state, smell information and whether naked fire smoke information occurs in the garbage classification storage module, meanwhile, the information is sent to a background management module through a communication protocol module, the background management module can judge whether a garbage cleaning vehicle needs to be dispatched to collect and clean the garbage in the garbage classification storage module according to the feedback information, meanwhile, when the naked fire smoke occurs in the garbage classification storage module, an alarm module can give out an alarm sound to remind a background manager to timely inform the manager of the region to extinguish fire, the safety of garbage discarding and storage is improved, meanwhile, the garbage weighing module can send the weighing information to an information processing module and further store the weighing information in a data storage module, and a user can check the weight of the discarded garbage through a garbage throwing weight inquiry module on an AI (human-computer interaction) module, meanwhile, the accumulated weight of discarded garbage can be checked, the background management module divides the garbage weight to be cleaned according to the weight of the discarded garbage in the community, the garbage can be conveniently classified, the garbage can be automatically or autonomously selected through the garbage can throwing-out module, the garbage can identification module and the garbage can selection module, the user can use the garbage can more conveniently, the same garbage can is used simultaneously, the garbage can be conveniently identified by the garbage can identification module, the garbage classification operation is convenient, and the garbage classification effect is improved.

In one embodiment, the method further comprises:

the recording module is connected with the monitoring module;

the expense calculation module is connected with the recording module and the garbage weighing module;

the first control module is respectively connected with the recording module and the expense calculation module;

the monitoring module is used for monitoring whether the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bag;

the recording module is configured to:

when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bag, the garbage classification of the user is accurate, the accurate classification information of the user is recorded, and the garbage classification integral is increased;

when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is not matched with the garbage bag, the garbage classification of the user is wrong, the wrong classification information of the user is recorded, and the garbage classification integral is reduced;

the fee calculation module is used for:

receiving the garbage classification integral of the user recorded by the recording module, inquiring a preset garbage classification integral-reward punishment table according to the garbage classification integral, and acquiring reward punishment cost corresponding to the garbage classification integral;

receiving garbage weighing information sent by the garbage weighing module, acquiring unit price information of garbage according to garbage types, calculating to obtain value information of the garbage according to the unit price information and the garbage weighing information, and calculating to obtain cost information of the user for putting the garbage at the current time according to the value information and reward and punishment cost;

the first control module is configured to:

receiving the expense information calculated by the expense calculation module and sending the expense information to the user terminal through a communication module;

receiving user accurate classification information and user wrong classification information sent by the recording module, inputting the user accurate classification information and the user wrong classification information into a pre-trained garbage classification capability grade estimation model, outputting the garbage classification capability grade of the user, and judging whether the garbage classification capability grade of the user is smaller than a preset grade or not; when the garbage classification capability level of the user is determined to be smaller than a preset level, sending a first garbage classification explanation video to the user terminal; and otherwise, sending the second garbage classification explanation video to the user terminal.

The working principle and the beneficial effects of the technical scheme are as follows: the monitoring module is used for monitoring whether the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bags or not, and the garbage bags are identified through the garbage bag identification module and are identified according to the garbage bags. If the garbage bag is not matched with the garbage placed in the garbage bag, the inaccuracy of garbage identification and garbage classification can be caused. The accuracy of garbage identification and garbage classification can be improved through the monitoring module, and then the treatment efficiency of garbage classification storage is improved. The recording module is configured to: when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is matched with the garbage bag, the garbage classification of the user is accurate, the accurate classification information of the user is recorded, and the garbage classification integral is increased; when the monitoring module monitors that the type of garbage thrown into the garbage classification storage module by a user is not matched with the garbage bag, the garbage classification of the user is wrong, the wrong classification information of the user is recorded, and the garbage classification integral is reduced; by recording relevant information of the user for throwing the garbage every time, such as accurate classification information of the user and wrong classification information of the user, the garbage classification capability of the user can be conveniently and comprehensively known. By setting the garbage classification integral, when the user accurately classifies, the integral is rewarded, and when the user incorrectly classifies, the integral is deducted, so that the enthusiasm of the user for accurately classifying the garbage is improved. The cost calculation module is used for receiving the garbage classification integral of the user recorded by the recording module, inquiring a preset garbage classification integral-reward punishment table according to the garbage classification integral, and acquiring reward punishment cost corresponding to the garbage classification integral; receiving garbage weighing information sent by the garbage weighing module, acquiring unit price information of garbage according to garbage types, calculating value information of the garbage according to the unit price information and the garbage weighing information, and calculating cost information of the user for putting the garbage at the current time according to the value information and punishment cost. Exemplarily, the garbage classification integral of the user a is 500 points, a preset garbage classification integral-reward punishment table is queried, and the reward punishment cost is +5 yuan; and B, the garbage classification integral of the user B is 100 points, a preset garbage classification integral-reward punishment table is inquired, and reward punishment cost is-5 yuan. When users throw garbage, the selling of the garbage is automatically realized, the value information of the garbage is obtained, for example, 10 yuan, and the cost information of the user A throwing the garbage at the time is 15 yuan; and the cost information of the user B when throwing the garbage is 5 yuan. Meanwhile, people are stimulated to correctly classify the garbage, so that the garbage classification awareness of users is improved, and the classification efficiency of a garbage classification system is improved. The first control module is used for receiving the expense information calculated by the expense calculation module and sending the expense information to the user terminal through the communication module; the user can conveniently obtain the cost information, and the user experience is improved. The first control module is also used for receiving the accurate user classification information and the wrong user classification information sent by the recording module, inputting the accurate user classification information and the wrong user classification information into a pre-trained garbage classification capability grade estimation model, outputting the garbage classification capability grade of the user, and judging whether the garbage classification capability grade of the user is smaller than a preset grade or not; when the garbage classification capability level of the user is determined to be smaller than a preset level, sending a first garbage classification explanation video to the user terminal; and otherwise, sending the second garbage classification explanation video to the user terminal. The first garbage classification explanation video is an explanation video of comprehensive garbage classification knowledge, so that the garbage classification ability level is smaller than a preset level of users, the garbage classification knowledge is comprehensively learned, and the garbage classification ability is improved. The second garbage classification explanation video is a video which is used for carrying out inaccurate explanation on a certain type of garbage classification for a user, and is used for carrying out targeted video explanation on the user, so that the garbage classification capability of the user is further improved, the user is prevented from repeatedly watching garbage classification knowledge known by the user, the user time is prevented from being wasted, and the user experience is improved.

In one embodiment, the system further comprises a liquid garbage treatment module, a second control module and an alarm module;

the garbage classification storage module comprises a solid garbage storage module and a liquid garbage storage module;

the liquid garbage treatment module is used for filtering and treating the liquid garbage flowing out of the liquid garbage storage module by chemical agents, and discharging the liquid garbage after the liquid garbage is determined to meet the discharge standard after the liquid garbage is filtered and treated by the chemical agents;

the liquid garbage treatment module comprises a filter screen;

the second control module is used for calculating the pressure drop of the filter screen during the filtering treatment, indicating that the filter screen is blocked when the pressure drop is determined to be larger than the preset pressure drop, and controlling the alarm module to send out an alarm prompt;

the calculating the pressure drop P of the filter screen comprises the following steps:

wherein lambda is the viscosity coefficient of the liquid waste passing through the filter screen; s₁Presetting unit area of the filter screen; l is₁The aperture of the filter screen; l is₂The thickness of the filter screen; h is the thickness of the filtering impurities attached to the filter screen; q is the flow rate of the liquid waste passing through the filter screen; v is the preset unit volume of the filter screen; s₂Is the cross section of the filtering impurities attached to the filter screen.

The working principle and the beneficial effects of the technical scheme are as follows: the garbage classification storage module comprises a solid garbage storage module and a liquid garbage storage module according to the state of garbage; the dry and wet garbage separation is realized, the garbage classification treatment is facilitated, and the garbage classification efficiency is improved. Filtering the liquid garbage and treating the liquid garbage by a liquid garbage treatment module, and discharging the liquid garbage after determining that the liquid garbage after being filtered and treated by the chemical agent meets the discharge standard; the environmental pollution caused by the liquid garbage is avoided, and the environment is protected. The liquid garbage treatment module comprises a filter screen; the second control module is used for calculating the pressure drop of the filter screen during the filtering treatment, indicating that the filter screen is blocked when the pressure drop is determined to be larger than the preset pressure drop, and controlling the alarm module to send out an alarm prompt; reminding the equipment maintainer in time to look over whether the filter screen takes place to block up, in time dredging the filter screen, guaranteeing filtration efficiency, guarantee the accuracy of filtration treatment work to go on simultaneously. The pressure drop of the filter screen is accurately calculated according to the viscosity coefficient of the liquid waste passing through the filter screen, the preset unit area of the filter screen, the aperture of the filter screen, the thickness of the filter screen and the like, and the accuracy of judgment and preset pressure drop is improved. The preset unit area of the filter screen is the area including a single filter hole area; the preset unit volume of the filter screen is the volume of a single filter hole.

As used in the specification and in the claims, certain terms are used to refer to particular components. As one skilled in the art will appreciate, manufacturers may refer to a component by different names. This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. "substantially" means within an acceptable error range, and a person skilled in the art can solve the technical problem within a certain error range to achieve the technical effect basically.

It is noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of additional like elements in the article or system in which the element is included.

The foregoing description shows and describes several preferred embodiments of the invention, but as aforementioned, it is to be understood that the invention is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the inventive concept as expressed herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.