Garbage sorting and recycling system and control method based on rbf neural network

Abstract

A garbage sorting and recycling system based on RBF neural network, set on the primary sorting layer on the top of the support frame, is a garbage sorting cover plate with four garbage input ports, each garbage input port is equipped with a photoelectric sensor; set on the support frame The garbage identification layer in the middle has a dumping mechanism and a garbage identification camera that receives garbage and is turned over by the control unit to pour the garbage into the next layer; the garbage collection layer set at the lower part of the support frame has a sorting receiving dumping mechanism Garbage collection mechanism for different types of garbage. The garbage collection mechanism is installed on the bottom plate and can rotate at a set angle under the control of the control unit; sensor. The control unit is arranged on the bottom plate. The present invention replaces traditional human labor with intelligent hardware, and at the same time, the accuracy of garbage classification is higher than that of manual classification, which greatly reduces the work burden of sanitation workers.

Description

technical field [0001] The invention relates to a garbage sorting and recycling system. In particular, it relates to a garbage sorting and recycling system and control method based on RBF neural network. Background technique [0002] Everyone throws out a lot of garbage every day. In some areas with better garbage management, most of the garbage will be treated harmlessly, such as sanitary landfill, incineration, composting, etc., while the garbage in more places is often simply piled up or landfilled. , leading to the spread of odor and polluting soil and groundwater. The cost of harmless disposal of garbage is very high. Depending on the treatment method, the cost of disposing of a ton of garbage ranges from about one hundred yuan to several hundred yuan. People consume a lot of resources, produce on a large scale, consume a lot, and produce a lot of garbage. The consequences will be disastrous. [0003] The purpose of classification is to divert waste, utilize existin...

AI Technical Summary

Problems solved by technology

[0008] 1. The compartments of the dustbin can only be placed horizontally, the structure is relatively cumbersome, and the space cannot be used well

[0009] 2. The degree of intelligence is not high. It can only realize the automatic opening and closing of the door of the garbage bin, but cannot realize the intelligent classification of garbage, and cannot supervise and guide the user's garbage sorting behavior. It does not conform to the general trend of mandatory garbage sorting

[0010] 3. Due to the addition of the main control on the basis of the traditional dustbin, the overall cost in actual delivery is higher than that of the traditional dustbin

The risk of damage to electronic equipment is high, and the investment and maintenance costs are relatively high

[0011] 4. Unable to achieve data interaction with the Internet, the function is relatively single, and the actual application value is not great

Only software APP, no matching smart hardware

[0014] 2. The function is mainly of a public welfare nature, and cannot well realize profits based on garbage classification and recycling

[0015] 3. The main factors that make it difficult to implement mandatory garbage sorting measures in cities are not only the poor awareness of users on sorting, but also the heavy burden of sanitation work and the high cost of human guidance and supervision

[0019] 1. There are currently about 6 million waste pickers operating without a license in my country, lacking effective regulations and management, resulting in secondary pollution and disease transmission during the processing of waste

[0020] 2. Due to the uncertainty of the amount of garbage discarded and the heavy environmental sanitation burden, garbage cans in streets and residential areas often overflow due to failure to clean them in time

[0021] 3. Garbage classification standards and related knowledge are not popular among citizens. The mandatory classification policy makes garbage classification a psychological burden and cannot be effectively implemented

The existing garbage sorting assistant APP cannot effectively restrain citizens' garbage sorting behavior

[0022] 4. In areas where compulsory garbage classification has been implemented in our country, full-time personnel are required to guard most of the garbage bins at present, and provide garbage classification explanations and guidance for users at any time, which increases the burden of urban sanitation work and increases the cost of manpower and material resources

[0023] 5. Most of the existing intelligent waste classification products only have a single hardware or a single software, and their target groups are relatively single, unable to form a system and form a solid profit chain, which often increases the development cost of the development company and makes it difficult to achieve profitability

[0024] 6. In the traditional urban sanitation work, often due to the insufficient connection between the sanitation department and the garbage recycling enterprise, it is impossible to carry out targeted recycling of garbage in a timely and efficient manner, and many garbage can only be landfilled and incinerated

[0028] 3. Solve the problems of low intelligence, lack of automatic garbage sorting ability, and lack of real-time network data feedback in the existing smart garbage bins on the market, and solve the overflow problem of traditional garbage bins when they cannot be cleaned in time

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