Ecological environment protection system for sorting management of historical remaining solid wastes

By designing an ecological environment protection system for historical solid waste, the problems of inefficient sorting and environmental pollution are solved, and efficient and scientific waste treatment and resource recycling are achieved.

CN119549428AInactive Publication Date: 2025-03-04THE THIRD INST OF GEOLOGY & MINERALS EXPLORATION GANSU PROVINCIAL BUREAU OF GEOLOGY & MINERALS EXPLORATION & DEV

Patent Information

Application Number
CN202510117026.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-24
Publication Date
2025-03-04
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The inefficient sorting efficiency and environmental pollution of historical solid wastes, and the lack of systematicity and scientificity in the existing technology, resulting in waste of recyclable resources and improper treatment of hazardous waste.

Method used

An ecological environment protection system was designed, including solid waste collection module, intelligent sorting module, processing and disposal module, environmental monitoring module and central control module. Accurate classification is achieved through image recognition technology and sensor technology, and environmental indicators are monitored in real time to ensure the safety of the processing process.

Benefits of technology

It improves the accuracy and efficiency of solid waste sorting, realizes the precise classification and resource utilization of waste, and ensures the environmental safety of the treatment process and the recycling of resources.

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Abstract

The invention discloses an ecological environment protection system for sorting management of historical remaining solid wastes, and relates to the technical field of environment protection, and the ecological environment protection system comprises a solid waste collection module, an intelligent sorting module, a treatment and disposal module, an environment monitoring module and a central control module; the solid waste collecting module is used for collecting solid waste which is left in history and comprises different types of garbage storage containers, sealing and transporting the solid waste, and transporting the collected solid waste to a sorting treatment area. According to the ecological environment protection system, a plurality of modules are integrated, an efficient and scientific historical remaining solid waste sorting management system is constructed, the system can accurately predict the waste output, the design of a waste storage container is optimized, effective collection and sealed transportation of waste are ensured, and the system is suitable for large-scale popularization and application. And the intelligent sorting module is combined with an image recognition technology and a sensor technology, so that the sorting accuracy is improved, and resource utilization of wastes is facilitated.
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Description

Technical Field

[0001] The present invention relates to the field of environmental protection technology, and in particular to an ecological environment protection system for sorting and managing historical solid waste. Background Art

[0002] In the field of treatment and management of historical solid waste, there have long been problems such as low sorting efficiency and environmental pollution caused by improper treatment. Traditional solid waste treatment methods often lack systematicity and scientificity, resulting in a large amount of recyclable resources being wasted. At the same time, if hazardous waste is not properly handled, it will also pose a serious threat to the environment and human health.

[0003] Specifically, there are many types of historical solid waste, including recyclables, hazardous waste, kitchen waste and other waste. These wastes require different technologies and equipment support during the collection, transportation, sorting and treatment process. However, most of the existing sorting technologies rely on manual operations, which are not only inefficient but also difficult to ensure the accuracy of sorting. At the same time, during the treatment process, due to the lack of effective environmental monitoring methods, it is often impossible to timely discover and deal with possible environmental pollution problems. In this regard, we propose an ecological environment protection system for the sorting management of historical solid waste. Summary of the invention

[0004] In order to solve the above technical problems, an ecological environment protection system for sorting and managing historical solid waste is provided. This technical solution solves the above problems.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: An ecological environment protection system for sorting and managing historical solid waste, comprising: a solid waste collection module, an intelligent sorting module, a processing and disposal module, an environmental monitoring module and a central control module; The solid waste collection module is used to collect historical solid waste, including different types of garbage storage containers, seal and transport the solid waste, and transport the collected solid waste to the sorting and processing area; The intelligent sorting module is electrically connected to the solid waste collection module, and the intelligent sorting module is used to classify and identify the collected solid waste, and the classification and identification includes: classifying the solid waste into recyclables, hazardous waste, kitchen waste and other waste; The processing and disposal module is electrically connected to the intelligent sorting module, and the processing and disposal module is used to adopt corresponding processing methods for different categories of solid waste based on the sorting and identification results of the intelligent sorting module; The environmental monitoring module is electrically connected to the treatment and disposal module, and is used to monitor the environmental indicators in the treatment process in real time, including: the concentration of air pollutants, the content of water pollutants and the soil pollution, and feed the monitoring data back to the central control module; The central control module is electrically connected to the environmental monitoring module. The central control module is used to receive data feedback from the environmental monitoring module, and to regulate the solid waste collection module, the intelligent sorting module, and the treatment and disposal module according to preset standards and algorithms to ensure that the operation of the entire system meets the requirements of ecological and environmental protection, and to achieve efficient sorting management of historical solid waste and ecological and environmental protection.

[0006] Preferably, the collection of historical solid waste specifically includes: Collect data on the historical solid waste generation in the area; Based on the historical solid waste generation data, the garbage generation in a certain period of time in the future is predicted, and the capacity of the garbage storage container is designed according to the predicted generation. The calculation formula for the garbage generation prediction is: ; In the formula, represents the predicted amount of waste generated, Indicates that the area has Annual waste generation, represents the number of periods of the moving average; The garbage storage container is equipped with a sealing device, which adopts a double-layer rubber sealing structure. The sealing force is determined by the sealing pressure calculation formula, where the sealing pressure calculation formula is: ; In the formula, Indicates the sealing pressure, represents the sealing force applied, Indicates the sealing contact area; The garbage transport device uses an electric vehicle, and its power system is selected according to the transportation distance and garbage weight: Assume the transport distance is The total weight of garbage is , the vehicle power demand calculation formula is: ; In the formula, represents the vehicle power demand, represents the rolling friction coefficient of the vehicle, Indicates the vehicle mass, Indicates the vehicle's speed.

[0007] Preferably, the classification and identification of the collected solid waste specifically includes: Combine image recognition technology and sensor technology to classify and identify collected solid waste; Among them, the method of image recognition technology is: A large number of images of different types of solid waste are labeled to form a training data set, and CNN is used for model training: Assume the input image is After the convolution layer and pooling layer operations, the classification results are output through the fully connected layer , the pooling layer uses maximum pooling to reduce the data dimension, and the calculation formula of the convolutional layer is: ; In the formula, Indicates The convolutional layer outputs the feature map Line The elements of the column, Indicates The weights of the convolution kernels of the layers, Indicates The elements at the corresponding positions in the layer input feature map, represents the bias, represents the activation function, Represents the index in the row direction of the convolution kernel, and its value range is from 0 to , here Represents the size of the convolution kernel in the row direction, Represents the index in the column direction of the convolution kernel, ranging from 0 to ,in is the size of the convolution kernel in the column direction; Among them, the sensor technology method is: Based on weight sensors, the weight data of solid waste is measured; Detect the material composition of solid waste based on material sensors; By analyzing and identifying the characteristic signals of different materials, the detection results are combined with the image recognition results to improve the accuracy of sorting.

[0008] Preferably, the method of combining the detection result with the image recognition result to improve the accuracy of sorting is: Based on the weight data measured by the weight sensor, the data is denoised: Assume that a set of weight data collected is , the weight value calculation formula after mean filtering is: ; In the formula, represents the weight value after mean filtering, Indicates the amount of weight data collected, that is, there are The weight data is Participate in the calculation of mean filtering, The index variable for summation starts at 1 and increases by 1 each time until , Indicates Weight data; Based on the solid waste material characteristic signal reflected by the material sensor, the characteristic signal is normalized, where the normalization formula is: ; In the formula, represents the normalized characteristic signal, Indicates The characteristic signal of the dimension, Indicates the maximum value of the feature signal of this dimension in the training sample, Indicates the minimum value of the feature signal of this dimension in the training samples; The output of the image recognition model is the probability value of solid waste belonging to different categories. Suppose the output of the image recognition model for a solid waste image is vector ,in Indicates that the solid waste belongs to The probability of the class, and ; Perform a logarithmic transformation on the probability vector to obtain a new vector: ; In the formula, Represents the new vector after logarithmic transformation; The weight of each feature in the fusion vector is determined based on the contribution of different features to the sorting accuracy. A large number of solid waste samples with known category labels are used as training sets. A loss function is defined to measure the difference between the predicted category and the true category. The weight vector is continuously updated through the gradient descent method to minimize the loss function and complete feature fusion. For new solid waste to be sorted, the feature fusion vector is obtained after the above data preprocessing and feature fusion steps. The feature fusion vector is dot-producted with the optimized weight vector to obtain the comprehensive score vector of the solid waste belonging to different categories. The category with the highest score in the comprehensive score vector is selected as the final classification result of the solid waste. The calculation formula of the comprehensive score vector is: ; In the formula, Indicates that the solid waste belongs to The overall score of the class, Represents the accumulated index variable, Indicates the number of characteristic signal dimensions output by the material sensor, Represents the number of categories output by the image recognition model, The weight vector elements, Represents the first feature fusion vector elements.

[0009] Preferably, the loss function and the gradient descent method are expressed as: Among them, the expression of the loss function is: ; In the formula, represents the loss function, represents the number of samples in the training set, Indicates The true category labels of samples, represents the predicted category probability vector, represents the total number of samples, Represents the sample index variable, from 1 to , used to traverse each sample in the training set, represents the number of categories, represents the category index variable; Among them, the expression of the gradient descent method is: ; In the formula, The weight vector elements, represents the learning rate, Represents the partial derivative of the loss function with respect to the weights.

[0010] Preferably, in the processing and disposal module, different processes are adopted for the reprocessing of recyclables according to different types of recyclables; For metal recyclables, the smelting process is used: Assume the mass of metal recyclables is , the mass fraction of impurities contained is The metal recovery rate during smelting is , then the final mass of pure metal is: ; In the formula, Indicates the mass of pure metal; The temperature control of the smelting equipment is based on the melting point of the metal and the smelting process requirements. The heating power is adjusted by calculating the heating power. The calculation formula for the heating power is: ; In the formula, Indicates the mass of metal recyclables, is the specific heat capacity of metal, represents the temperature change, Indicates the heating time;

[0011] For plastic recyclables, the granulation process is used: Assume the mass of the plastic raw material is The loss rate during granulation is , the final mass of the plastic particles is: ; In the formula, Indicates the quality of the final plastic particles; The screw speed and temperature parameters of the granulation equipment are adjusted according to the type of plastic, and the production efficiency is optimized through the relationship between the screw speed and the output. The calculation formula for the relationship between the screw speed and the output is: In the formula, Indicates the output, Indicates the density of plastic, Indicates the screw groove volume, Indicates the screw speed; For the harmless treatment of hazardous waste, chemical neutralization method and high-temperature incineration method are adopted: Among them, the chemical neutralization method is to neutralize the acid-containing hazardous waste by calculating the amount of alkali input, and the calculation method is: Assume that the amount of acid in the acid-containing hazardous waste is , determine the amount of base substance required according to the chemical reaction equation , by controlling the amount of alkali input to ensure that the acid is completely neutralized, the calculation formula for controlling the alkali is: In the formula, represents the stoichiometric coefficient; Among them, the high-temperature incineration method ensures the complete combustion of hazardous waste and reduces the generation of harmful substances by calculating the required amount of combustion-supporting air. The calculation method is: According to the calorific value of hazardous waste and the thermal efficiency of the incinerator, the amount of combustion air is calculated. The calculation formula for the amount of combustion air is: In the formula, Indicates the amount of combustion air. Indicates the heat required for combustion. represents the air density, represents the specific heat capacity of air at constant pressure, The air temperature rise is Indicates the thermal efficiency of the incinerator; For composting of kitchen waste: Assume the mass of kitchen waste is , the carbon-nitrogen ratio is To ensure the composting effect, a certain amount of conditioner is added. Suppose the amount of conditioner added is , according to the optimal carbon-nitrogen ratio range of compost and the carbon-nitrogen ratio of kitchen waste, calculated by the formula: ; During the composting process, the temperature, humidity and ventilation parameters are controlled to promote the growth and metabolism of microorganisms. The ventilation volume is The relationship between microbial growth rate, temperature and ventilation volume is calculated as follows: In the formula, represents the microbial growth rate, represents the coefficient; For the anaerobic fermentation of kitchen waste to produce biogas, the content of fermentable organic matter in the kitchen waste is The fermentation efficiency is , then the amount of biogas produced for: In the formula, It indicates the volume of biogas produced by unit mass of fermentable organic matter under standard conditions; By regulating the temperature and pH parameters of the fermentation tank, the biogas production efficiency is optimized according to the fermentation kinetics formula, where the fermentation kinetics formula is: In the formula, represents the reaction rate, is the reaction rate constant, represents the activation energy, is the gas constant, represents absolute temperature, represents the concentration of reactants, Indicates the reaction order; For the incineration of other waste, according to the calorific value of other waste and the design parameters of the incinerator to calculate the amount of air required for incineration , the formula is: In the formula, Indicates the heat required to burn other garbage. Indicates the thermal efficiency of the incinerator; By controlling the air volume and combustion temperature, other garbage can be fully burned; For landfill treatment, the landfill site needs to be treated for seepage prevention: Assume that the permeability coefficient of the bottom impermeable layer of the landfill is The area of ​​the impermeable layer is , the water head difference on both sides is , the seepage rate is calculated according to Darcy's law, where the seepage rate calculation formula is: In the formula, represents the seepage rate, represents the seepage path length; The landfill site needs to be equipped with a gas collection system to collect the methane gas generated during the landfill process. , the methane production coefficient is , then the amount of methane produced for: ; Reduce greenhouse gas emissions by collecting and utilizing methane gas.

[0012] Preferably, in the environmental monitoring module, the atmospheric pollutant concentration monitoring uses a variety of sensors; For sulfur dioxide concentration monitoring, an ultraviolet fluorescence sensor is used. Its working principle is based on the fact that sulfur dioxide molecules emit fluorescence under ultraviolet light of a specific wavelength. The fluorescence intensity is proportional to the sulfur dioxide concentration. The sulfur dioxide concentration formula is: In the formula, represents the sulfur dioxide concentration, represents the proportionality coefficient, represents the fluorescence intensity; For nitrogen oxide concentration monitoring, a chemiluminescence sensor is used. Nitric oxide reacts chemically with ozone to produce excited nitrogen dioxide. When the excited nitrogen dioxide returns to the ground state, it emits light. The concentration of nitrogen oxide is calculated by detecting the light intensity: Let the light intensity be , then the concentration of nitric oxide for: in, It represents the proportionality coefficient. Nitrogen dioxide is measured by reducing it to nitrogen monoxide. The total nitrogen oxide concentration is the sum of the concentrations of nitrogen monoxide and nitrogen dioxide. For particle concentration monitoring, a laser scattering sensor is used. When the laser is irradiated on the particles, scattering occurs. The particle concentration is calculated by detecting the intensity and angular distribution of the scattered light: Assume that the scattered light intensity is According to Mie scattering theory, the particle concentration The relationship with the intensity of scattered light is calculated through mathematical models. The monitoring of water pollutant content includes chemical oxygen demand COD and ammonia nitrogen indicators; For COD monitoring, potassium dichromate method is used, and the water sample volume is , the concentration of potassium dichromate standard solution is The volume of potassium dichromate standard solution consumed in titration is , then the COD value calculation formula of the water sample is: ; For ammonia nitrogen monitoring, Nessler's reagent spectrophotometry was used, and the absorbance of the water sample was set to , the relationship between absorbance and ammonia nitrogen concentration was established by the standard curve method to determine the ammonia nitrogen concentration: In the formula, represents the slope of the standard curve, represents the intercept; For monitoring of heavy metal lead content, atomic absorption spectrometry is used. After the soil sample is digested, it is absorbed into the atomic absorption spectrometer. Lead atoms absorb light of a specific wavelength, and the lead content is calculated by detecting the degree of light absorption: Assume that the light absorption value is , according to the Lambert-Beer law: In the formula, represents the molar absorptivity, represents the optical path length, Indicates the concentration of a substance; The lead content in the soil was calculated ; The environmental monitoring module transmits the real-time monitored atmospheric pollutant concentration, water pollutant content, and soil pollution data to the central control module through the wireless communication module. The accuracy and stability of the transmitted data are guaranteed by the data verification algorithm: Assume the transmission data is , using the cyclic redundancy check CRC algorithm to generate the check code CRC, which is calculated by the formula: In the formula, Represents the generated polynomial, and the receiving end verifies the accuracy of the data through the same algorithm.

[0013] Preferably, the garbage transport vehicles are equipped with an intelligent dispatching system that uses the Dijkstra algorithm to plan the optimal transport route based on real-time traffic data and the distribution of garbage collection points: Suppose the garbage transport vehicle starts from the starting point Set off to multiple collection points Return to the end point , the nodes in the graph represent locations, and the weight of the edge represents the distance or travel time between two points. The algorithm steps are as follows: The starting point The distance of the node is marked as 0, and the distance of other nodes is marked as infinity, creating a node set with undetermined distance. , add all nodes to ; exist Select the distance from the start point The node with the smallest distance , and change it from Remove, All adjacent nodes of , if through arrive The distance is less than the current If the distance marker is The distance is marked as passing Distance reached; When the end When removing from, the record starts from the starting point To the end The intelligent dispatching system dynamically adjusts the transportation plan according to the vehicle's real-time load and remaining power or fuel. If the vehicle's load is close to the upper limit or the power or fuel level is low, the system will give priority to planning to the nearest sorting and processing area or energy supply point.

[0014] Preferably, the image recognition technology of the intelligent sorting module adopts an improved ResNet network structure for model training. On the basis of the original residual block, the attention mechanism module SENet is introduced to enhance the model's attention to the key features of solid waste. Suppose the input image is After a series of convolutional layers, pooling layers and improved residual blocks, the classification results are output. , the improved residual block calculation formula is: ; In the formula, Indicates The input of the layer, Indicates The output of the layer, represents the residual function, and is the convolution operation, represents the batch normalization operation, represents the activation function, Represents the output of the attention mechanism module; The attention mechanism module obtains the feature description of the channel dimension by performing global average pooling on the feature map. After being processed by the fully connected layer and the activation function, it is mapped back to the original channel dimension through the fully connected layer to generate the channel attention weight, which is multiplied with the original feature map to enhance important features and suppress unimportant features.

[0015] Preferably, the processing and disposal module introduces a resource recovery efficiency optimization mechanism when reprocessing recyclables; For the smelting process of metal recyclables, the heat loss during the smelting process is considered and the heating power is optimized through the heat balance equation. The optimal calculation formula for heating power is: ; In the formula, Indicates the heating power, Indicates the mass of metal recyclables, is the specific heat capacity of metal, represents the initial temperature, Indicates the target melting temperature, represents the heat loss coefficient, Indicates the heating time; For the granulation process of plastic recyclables, in addition to considering the relationship between screw speed and output, the screw speed and temperature parameters are also optimized according to the quality requirements of plastic particles: Assume the target density of plastic particles is , through experiments to establish the relationship between plastic particle density and screw speed The relationship model is , while ensuring production, by adjusting , so that the density of plastic particles is close to the target density, improving product quality and resource recycling rate.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The ecological environment protection system proposed in the present invention integrates multiple modules to construct an efficient and scientific historical solid waste sorting and management system. The system can accurately predict the amount of garbage generated, optimize the design of garbage storage containers, and ensure the effective collection and sealed transportation of waste. The intelligent sorting module combines image recognition technology and sensor technology to significantly improve the accuracy and efficiency of sorting, which is conducive to the accurate classification and resource utilization of waste. The treatment and disposal module adopts corresponding treatment methods for different types of solid waste, effectively promoting the recycling of resources and the harmless treatment of hazardous waste. The environmental monitoring module monitors the environmental indicators in the treatment process in real time, and regulates them through the central control module to ensure that the operation of the entire system meets the requirements of ecological environment protection. The intelligent scheduling system and improved image recognition technology equipped on the garbage transportation vehicles further improve the overall performance and practicality of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is the module framework diagram of the ecological environment protection system. DETAILED DESCRIPTION

[0018] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0019] Reference Figure 1 As shown, an ecological environment protection system for sorting and managing historical solid waste includes: a solid waste collection module, an intelligent sorting module, a processing and disposal module, an environmental monitoring module and a central control module; The solid waste collection module is the starting point of the entire system. It is equipped with a variety of garbage storage containers, which are designed with a strict sealing mechanism to prevent secondary pollution to the environment during the collection and transportation of waste. Through an efficient logistics network, these properly sealed solid wastes are safely transported to the sorting and processing area to prepare for subsequent classification work.

[0020] The intelligent sorting module uses advanced image recognition technology and machine learning algorithms to accurately classify the solid waste that arrives. This module can not only quickly distinguish between recyclables, hazardous waste, kitchen waste and other waste, but also continuously optimize its classification accuracy as the running time increases, thereby improving the recycling rate of resources and reducing the environmental risks that may be caused by incorrect classification.

[0021] The treatment and disposal module takes targeted treatment measures based on the identification results of the intelligent sorting module. Recyclables are pre-processed by washing, crushing, and packaging to facilitate subsequent recycling; hazardous waste is specially treated to ensure that the harmful substances in it are safely disposed of; kitchen waste is converted into fertilizer or energy through biodegradation and other methods; and other waste is landfilled or incinerated according to actual conditions, while emissions are strictly controlled to avoid adverse effects on the environment.

[0022] The environmental monitoring module plays a vital role in the entire treatment process. It uses a sensor network to monitor the concentration of pollutants in the atmosphere, water and soil in real time to ensure that the treatment process does not exceed the limits of the environmental carrying capacity. Once abnormal data is detected, an alarm is immediately sent to the central control module so that timely measures can be taken to make adjustments.

[0023] As the "brain" of the entire system, the central control module not only receives and processes data from the environmental monitoring module, but also dynamically regulates each link of solid waste collection, intelligent sorting, treatment and disposal according to preset environmental protection standards and efficient operation algorithms. This intelligent management method not only improves the efficiency of solid waste treatment, but also ensures that the entire treatment process meets the high standards of ecological and environmental protection, providing strong support for the efficient sorting management of historical solid waste and ecological and environmental protection.

[0024] The collection module is equipped with sealed containers and an efficient logistics network to effectively prevent secondary pollution and ensure transportation safety. The intelligent sorting module uses advanced technology to accurately classify and continuously optimize to improve resource recycling rates. The treatment and disposal module conducts targeted treatment based on the classification results to achieve reasonable disposal of various types of garbage. The environmental monitoring module monitors in real time to ensure environmental safety during the treatment process. The central control module, as the "brain", realizes dynamic regulation of each link, which not only improves the treatment efficiency, but also ensures that the treatment process meets high environmental protection standards, providing strong support for solid waste treatment and environmental protection.

[0025] The use process of the present invention is as follows: historical solid waste is identified and classified through high-precision sensors, and the data of various types of waste are uploaded to the central processing unit. The system automatically plans the sorting path according to the nature of the waste, and guides the robotic arm or conveyor belt to perform precise sorting. The sorted waste enters the corresponding processing modules, such as harmless treatment, resource recovery, etc., to achieve intelligent monitoring and management throughout the process. The system can also monitor the treatment effect in real time, optimize the sorting strategy, ensure the efficient and safe treatment of historical solid waste, and reduce the negative impact on the ecological environment.

[0026] In summary, the advantages of the present invention are: high-precision identification and classification technology ensures that waste is accurately processed; intelligent path planning and automatic sorting functions greatly improve the sorting speed and accuracy; modular design makes the processing flow flexible and diverse, adapting to different waste types; full-process intelligent monitoring and management reduces labor costs while improving safety; real-time monitoring and optimization strategies ensure continuous optimization of processing effects, effectively reduce the negative impact on the ecological environment, and promote sustainable development.

[0027] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An ecological environment protection system for sorting and managing historical solid waste, characterized in that: include: Solid waste collection module, intelligent sorting module, treatment and disposal module, environmental monitoring module and central control module; The solid waste collection module is used to collect historical solid waste, including different types of garbage storage containers, seal and transport the solid waste, and transport the collected solid waste to the sorting and processing area; The intelligent sorting module is electrically connected to the solid waste collection module, and the intelligent sorting module is used to classify and identify the collected solid waste, and the classification and identification includes: classifying the solid waste into recyclables, hazardous waste, kitchen waste and other waste; The processing and disposal module is electrically connected to the intelligent sorting module, and the processing and disposal module is used to adopt corresponding processing methods for different categories of solid waste based on the sorting and identification results of the intelligent sorting module; The environmental monitoring module is electrically connected to the treatment and disposal module, and is used to monitor the environmental indicators in the treatment process in real time, including: the concentration of air pollutants, the content of water pollutants and the soil pollution, and feed the monitoring data back to the central control module; The central control module is electrically connected to the environmental monitoring module. The central control module is used to receive data feedback from the environmental monitoring module, and to regulate the solid waste collection module, the intelligent sorting module, and the treatment and disposal module according to preset standards and algorithms to ensure that the operation of the entire system meets the requirements of ecological and environmental protection, and to achieve efficient sorting management of historical solid waste and ecological and environmental protection.

2. The ecological environment protection system for sorting and managing historical solid waste according to claim 1 is characterized in that: The collection of historical solid waste specifically includes: Collect data on the historical solid waste generation in the area; Based on the historical solid waste generation data, the garbage generation in a certain period of time in the future is predicted, and the capacity of the garbage storage container is designed according to the predicted generation. The calculation formula for the garbage generation prediction is: ; In the formula, represents the predicted amount of waste generated, Indicates that the area has Annual waste generation, represents the number of periods of the moving average; The garbage storage container is equipped with a sealing device, which adopts a double-layer rubber sealing structure. The sealing force is determined by the sealing pressure calculation formula, where the sealing pressure calculation formula is: ; In the formula, Indicates the sealing pressure, represents the sealing force applied, Indicates the sealing contact area; The garbage transport device uses an electric vehicle, and its power system is selected according to the transportation distance and garbage weight: Assume the transport distance is The total weight of garbage is , the vehicle power demand calculation formula is: ; In the formula, represents the vehicle power demand, represents the rolling friction coefficient of the vehicle, Indicates the vehicle mass, Indicates the vehicle's speed.

3. The ecological environment protection system for sorting and managing historical solid waste according to claim 1 is characterized in that: Classification and identification of collected solid waste specifically include: Combine image recognition technology and sensor technology to classify and identify collected solid waste; Among them, the method of image recognition technology is: A large number of images of different types of solid waste are labeled to form a training data set, and CNN is used for model training: Assume the input image is After the convolution layer and pooling layer operations, the classification results are output through the fully connected layer , the pooling layer uses maximum pooling to reduce the data dimension, and the calculation formula of the convolutional layer is: ; In the formula, Indicates The convolutional layer outputs the feature map Line The elements of the column, Indicates The weights of the convolution kernels of the layers, Indicates The elements at the corresponding positions in the layer input feature map, represents the bias, represents the activation function, Represents the index in the row direction of the convolution kernel, and its value range is from 0 to , here Represents the size of the convolution kernel in the row direction, Represents the index in the column direction of the convolution kernel, ranging from 0 to ,in is the size of the convolution kernel in the column direction; Among them, the sensor technology method is: Based on weight sensors, the weight data of solid waste is measured; Detect the material composition of solid waste based on material sensors; By analyzing and identifying the characteristic signals of different materials, the detection results are combined with the image recognition results to improve the accuracy of sorting.

4. The ecological environment protection system for sorting and managing historical solid waste according to claim 3 is characterized in that: The method of combining the detection results with the image recognition results to improve the accuracy of sorting is: Based on the weight data measured by the weight sensor, the data is denoised: Assume that a set of weight data collected is , the weight value calculation formula after mean filtering is: ; In the formula, represents the weight value after mean filtering, Indicates the amount of weight data collected, that is, there are The weight data is Participate in the calculation of mean filtering, The index variable for summation starts at 1 and increases by 1 each time until , Indicates Weight data; Based on the solid waste material characteristic signal reflected by the material sensor, the characteristic signal is normalized, where the normalization formula is: ; In the formula, represents the normalized feature signal, Indicates The characteristic signal of the dimension, Indicates the maximum value of the feature signal of this dimension in the training sample, Indicates the minimum value of the feature signal of this dimension in the training samples; The output of the image recognition model is the probability value of solid waste belonging to different categories. Suppose the output of the image recognition model for a solid waste image is vector ,in Indicates that the solid waste belongs to The probability of the class, and ; Perform a logarithmic transformation on the probability vector to obtain a new vector: ; In the formula, Represents the new vector after logarithmic transformation; The weight of each feature in the fusion vector is determined based on the contribution of different features to the sorting accuracy. A large number of solid waste samples with known category labels are used as training sets. A loss function is defined to measure the difference between the predicted category and the true category. The weight vector is continuously updated through the gradient descent method to minimize the loss function and complete feature fusion. For new solid waste to be sorted, the feature fusion vector is obtained after the above data preprocessing and feature fusion steps. The feature fusion vector is dot-producted with the optimized weight vector to obtain the comprehensive score vector of the solid waste belonging to different categories. The category with the highest score in the comprehensive score vector is selected as the final classification result of the solid waste. The calculation formula of the comprehensive score vector is: ; In the formula, Indicates that the solid waste belongs to The overall score of the class, Represents the accumulated index variable, Indicates the number of characteristic signal dimensions output by the material sensor, Represents the number of categories output by the image recognition model, The weight vector elements, Represents the first feature fusion vector elements.

5. The ecological environment protection system for sorting and managing historical solid waste according to claim 4 is characterized in that: The expressions of the loss function and the gradient descent method are: Among them, the expression of the loss function is: ; In the formula, represents the loss function, represents the number of samples in the training set, Indicates The true category labels of samples, represents the predicted category probability vector, represents the total number of samples, Represents the sample index variable, from 1 to , used to traverse each sample in the training set, represents the number of categories, represents the category index variable; Among them, the expression of the gradient descent method is: ; In the formula, represents the weight vector elements, represents the learning rate, Represents the partial derivative of the loss function with respect to the weights.

6. The ecological environment protection system for sorting and managing historical solid waste according to claim 1 is characterized in that: In the processing and disposal module, different processes are used for the reprocessing of recyclables according to the types of recyclables; For metal recyclables, the smelting process is used: Assume the mass of metal recyclables is , the mass fraction of impurities contained is The metal recovery rate during smelting is , then the final mass of pure metal is: ; In the formula, Indicates the mass of pure metal; The temperature control of the smelting equipment is based on the melting point of the metal and the smelting process requirements. The heating power is adjusted by calculating the heating power. The calculation formula of the heating power is: ; In the formula, Indicates the mass of metal recyclables, is the specific heat capacity of metal, represents the temperature change, Indicates the heating time; For plastic recyclables, the granulation process is used: Assume the mass of the plastic raw material is The loss rate during granulation is , the final mass of the plastic particles is: ; In the formula, Indicates the quality of the final plastic particles; The screw speed and temperature parameters of the granulation equipment are adjusted according to the type of plastic, and the production efficiency is optimized through the relationship between the screw speed and the output. The calculation formula for the relationship between the screw speed and the output is: ; In the formula, Indicates the output, Indicates the density of plastic, Indicates the screw groove volume, Indicates the screw speed; For the harmless treatment of hazardous waste, chemical neutralization method and high-temperature incineration method are adopted: Among them, the chemical neutralization method is to neutralize the acid-containing hazardous waste by calculating the amount of alkali input, and the calculation method is: Assume that the amount of acid in the acid-containing hazardous waste is , determine the amount of base substance required according to the chemical reaction equation , by controlling the amount of alkali input to ensure that the acid is completely neutralized, the calculation formula for controlling the alkali is: ; In the formula, represents the stoichiometric coefficient; Among them, the high-temperature incineration method ensures the complete combustion of hazardous waste and reduces the generation of harmful substances by calculating the required amount of combustion-supporting air. The calculation method is: According to the calorific value of hazardous waste and the thermal efficiency of the incinerator, the amount of combustion air is calculated. The calculation formula for the amount of combustion air is: ; In the formula, Indicates the amount of combustion air. Indicates the heat required for combustion. represents the air density, represents the specific heat capacity of air at constant pressure, The air temperature rise is Indicates the thermal efficiency of the incinerator; For composting of kitchen waste: Assume the mass of kitchen waste is , the carbon-nitrogen ratio is To ensure the composting effect, a certain amount of conditioner is added. Suppose the amount of conditioner added is , according to the optimal carbon-nitrogen ratio range of compost and the carbon-nitrogen ratio of kitchen waste, calculated by the formula: ; During the composting process, the temperature, humidity and ventilation parameters are controlled to promote the growth and metabolism of microorganisms. The ventilation volume is The relationship between microbial growth rate, temperature and ventilation volume is calculated as follows: ; In the formula, represents the microbial growth rate, represents the coefficient; For the anaerobic fermentation of kitchen waste to produce biogas, the content of fermentable organic matter in the kitchen waste is The fermentation efficiency is , then the amount of biogas produced for: ; In the formula, It indicates the volume of biogas produced by unit mass of fermentable organic matter under standard conditions; By regulating the temperature and pH parameters of the fermentation tank, the biogas production efficiency is optimized according to the fermentation kinetics formula, where the fermentation kinetics formula is: ; In the formula, represents the reaction rate, is the reaction rate constant, represents the activation energy, is the gas constant, represents absolute temperature, represents the concentration of reactants, Indicates the reaction order; For the incineration of other waste, according to the calorific value of other waste and the design parameters of the incinerator to calculate the amount of air required for incineration , the formula is: ; In the formula, Indicates the heat required to burn other garbage. Indicates the thermal efficiency of the incinerator; By controlling the air volume and combustion temperature, other garbage can be fully burned; For landfill treatment, the landfill site needs to be treated for seepage prevention: Assume that the permeability coefficient of the bottom impermeable layer of the landfill is The area of ​​the impermeable layer is , the water head difference on both sides is , the seepage rate is calculated according to Darcy's law, where the seepage rate calculation formula is: ; In the formula, represents the seepage rate, represents the seepage path length; The landfill site needs to be equipped with a gas collection system to collect the methane gas generated during the landfill process. , the methane production coefficient is , then the amount of methane produced for: ; Reduce greenhouse gas emissions by collecting and utilizing methane gas.

7. The ecological environment protection system for sorting and managing historical solid waste according to claim 1 is characterized in that: In the environmental monitoring module, the atmospheric pollutant concentration monitoring uses a variety of sensors; For sulfur dioxide concentration monitoring, an ultraviolet fluorescence sensor is used. Its working principle is based on the fact that sulfur dioxide molecules emit fluorescence under ultraviolet light of a specific wavelength. The fluorescence intensity is proportional to the sulfur dioxide concentration. The sulfur dioxide concentration formula is: ; In the formula, represents the sulfur dioxide concentration, represents the proportionality coefficient, represents the fluorescence intensity; For nitrogen oxide concentration monitoring, a chemiluminescence sensor is used. Nitric oxide reacts chemically with ozone to produce excited nitrogen dioxide. When the excited nitrogen dioxide returns to the ground state, it emits light. The concentration of nitrogen oxide is calculated by detecting the light intensity: Let the light intensity be , then the concentration of nitric oxide for: ; in, It represents the proportionality coefficient. Nitrogen dioxide is measured by reducing it to nitrogen monoxide. The total nitrogen oxide concentration is the sum of the concentrations of nitrogen monoxide and nitrogen dioxide. For particle concentration monitoring, a laser scattering sensor is used. When the laser is irradiated on the particles, scattering occurs. The particle concentration is calculated by detecting the intensity and angular distribution of the scattered light: Assume that the scattered light intensity is According to Mie scattering theory, the particle concentration The relationship with the intensity of scattered light is calculated through mathematical models. The monitoring of water pollutant content includes chemical oxygen demand COD and ammonia nitrogen indicators; For COD monitoring, potassium dichromate method is used, and the water sample volume is , the concentration of potassium dichromate standard solution is The volume of potassium dichromate standard solution consumed in titration is , then the COD value calculation formula of the water sample is: ; For ammonia nitrogen monitoring, Nessler's reagent spectrophotometry was used, and the absorbance of the water sample was set to , the relationship between absorbance and ammonia nitrogen concentration was established by the standard curve method to determine the ammonia nitrogen concentration: ; In the formula, represents the slope of the standard curve, represents the intercept; For monitoring of heavy metal lead content, atomic absorption spectrometry is used. After the soil sample is digested, it is absorbed into the atomic absorption spectrometer. Lead atoms absorb light of a specific wavelength, and the lead content is calculated by detecting the degree of light absorption: Assume that the light absorption value is , according to the Lambert-Beer law: ; In the formula, represents the molar absorptivity, represents the optical path length, Indicates the concentration of a substance; The lead content in the soil was calculated ; The environmental monitoring module transmits the real-time monitored atmospheric pollutant concentration, water pollutant content, and soil pollution data to the central control module through the wireless communication module. The accuracy and stability of the transmitted data are guaranteed by the data verification algorithm: Assume the transmission data is , using the cyclic redundancy check CRC algorithm to generate the check code CRC, which is calculated by the formula: ; In the formula, Represents the generated polynomial, and the receiving end verifies the accuracy of the data through the same algorithm.

8. The ecological environment protection system for sorting and managing historical solid waste according to claim 2 is characterized in that: Garbage transport vehicles are equipped with an intelligent dispatching system that uses the Dijkstra algorithm to plan the optimal transportation route based on real-time traffic data and the distribution of garbage collection points: Suppose the garbage transport vehicle starts from the starting point Set off to multiple collection points Return to the end point , the nodes in the graph represent locations, and the weight of the edge represents the distance or travel time between two points. The algorithm steps are as follows: The starting point The distance of the node is marked as 0, and the distance of other nodes is marked as infinity, creating a node set with undetermined distance. , add all nodes to ; exist Select the distance from the start point The node with the smallest distance , and change it from Remove, All adjacent nodes of , if through arrive The distance is less than the current If the distance marker is The distance is marked as passing Distance reached; When the end When removing from, the record starts from the starting point To the end The intelligent dispatching system dynamically adjusts the transportation plan according to the vehicle's real-time load and remaining power or fuel. If the vehicle's load is close to the upper limit or the power or fuel level is low, the system will give priority to planning to the nearest sorting and processing area or energy supply point.

9. The ecological environment protection system for sorting and managing historical solid waste according to claim 3 is characterized in that: The image recognition technology of the intelligent sorting module uses an improved ResNet network structure for model training. On the basis of the original residual block, the attention mechanism module SENet is introduced to enhance the model's attention to the key features of solid waste. Suppose the input image is After a series of convolutional layers, pooling layers and improved residual blocks, the classification results are output. , the improved residual block calculation formula is: ; In the formula, Indicates The input of the layer, Indicates The output of the layer, represents the residual function, and is the convolution operation, represents the batch normalization operation, represents the activation function, Represents the output of the attention mechanism module; The attention mechanism module obtains the feature description of the channel dimension by performing global average pooling on the feature map. After being processed by the fully connected layer and the activation function, it is mapped back to the original channel dimension through the fully connected layer to generate the channel attention weight, which is multiplied with the original feature map to enhance important features and suppress unimportant features.

10. The ecological environment protection system for sorting and managing historical solid waste according to claim 6, characterized in that: The processing and disposal module introduces a resource recovery efficiency optimization mechanism when reprocessing recyclables; For the smelting process of metal recyclables, considering the heat loss in the smelting process, the heating power is optimized through the heat balance equation. The optimization calculation formula for the heating power is: ; In the formula, Indicates the heating power, Indicates the mass of metal recyclables, is the specific heat capacity of metal, represents the initial temperature, Indicates the target melting temperature, represents the heat loss coefficient, Indicates the heating time; For the granulation process of plastic recyclables, in addition to considering the relationship between screw speed and output, the screw speed and temperature parameters are also optimized according to the quality requirements of plastic particles: Assume the target density of plastic particles is , through experiments to establish the relationship between plastic particle density and screw speed ,temperature The relationship model is , while ensuring production, by adjusting and , so that the density of plastic particles is close to the target density, improving product quality and resource recycling rate.

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