134 results about "Urban solid waste" patented technology

A system and method are provided for sorting and recovery of recyclable materials, and in particular, sorting and recovery of recyclable materials from mixed waste comprising municipal solid waste in a materials recovery facility. A fluffer can be used to re-size and liberate the incoming materials to a suitable size for further processing in size screen equipment and subsequent downstream separation. The fluffer can re-size the material to a size of approximately 20 inches or larger, plus / minus a few inches, whereby reducing the material to a smaller size would impact the splits in subsequent downstream equipment.

The invention provides a Res-Transform urban solid waste incineration flame state recognition method based on multi-feature enhancement. The method comprises the steps of image acquisition and preprocessing, construction of an urban solid waste incineration flame state recognition model and urban solid waste incineration flame state recognition. According to the invention, through adoption of the preprocessing method of image denoising, image defogging and geometric transformation, training data are enriched, and the generalization ability of the model is improved at the same time; efficient automatic feature extraction and state recognition of the urban solid waste incineration flame image are realized through a deep learning technology based on multi-feature enhancement, and the recognition accuracy and robustness are improved by enhancing the detail capture capability and fusing different scale features; according to the method, the end-to-end automatic identification process is realized, the operation steps are simplified, the identification efficiency is improved, and the reliability and the stability of the urban solid waste incinerator system are remarkably improved.

The invention discloses an urban solid waste fine identification method and system based on RGB-MSI multi-feature fusion, and the method comprises the steps: collecting RGB data and HSI data of urban solid waste, carrying out the preprocessing through employing a supervised learning-based dual-competition depth Q network, and obtaining a fusion data set composed of the RGB data and MSI data; constructing a multi-scale asymmetric feature fusion network structure based on a Mask R-CNN model, and training by using the fusion data set to obtain an urban solid waste fine recognition model; the urban solid waste on the conveying belt is shot through the on-site RGB camera and the hyperspectral camera together, two sets of pictures with aligned pixels are obtained and input into the industrial personal computer at the same time, the trained urban solid waste fine recognition model is used for prediction, and coordinates and categories of the solid waste are obtained. According to the method, the advantages of a hyperspectral imaging technology and a target detection algorithm are integrated on the basis of a multi-modal fusion method, and the urban solid waste sorting precision is improved by making up for the insufficiency of the hyperspectral imaging technology and the target detection algorithm.

The invention relates to an intelligent optimization method for reducing pollution and improving efficiency in an urban solid waste incineration process, which improves the flow and stability of main steam, reduces the emission concentration of pollutants such as NOx, SO2, HCl and the like, and reduces the usage amount of a urea solution and limestone slurry at the same time through collaborative operation optimization of multiple process links. Comprising the following steps: firstly, acquiring data; determining input and output, and establishing an operation index model by adopting a fuzzy neural network; secondly, according to the response time of the solid waste incineration link, the waste heat utilization link and the flue gas treatment link, a multi-time-scale operation optimization objective function is established; designing a double-layer multi-target competitive group optimization algorithm, and solving the dynamic collaborative operation optimization problem of the urban solid waste incineration process; and finally, determining an optimal decision according to optimization characteristics of different time scales, and verifying optimization performance by adopting actual urban solid waste incineration process data. According to the method, pollution reduction and efficiency improvement in the urban solid waste incineration process are achieved, and the method has important theoretical significance and application value.

The invention relates to the technical field of waste-free city carbon emission, and discloses a method for evaluating waste-free city construction carbon emission reduction benefits, which comprises the following steps: collecting related data of waste-free city solid wastes in a reference year and a target year; according to an emission factor method and a WARM model, determining a carbon footprint, and calculating the total carbon emission amount of the solid waste; setting a plurality of carbon emission reduction scenes of a waste-free city construction target year according to relevant national and urban plans; based on a WARM model and carbon footprint setting, carbon emission under each carbon emission reduction scene is calculated; based on a carbon emission calculation result, evaluating a carbon emission reduction benefit under a waste-free city policy; according to the evaluation result, a policy optimization scheme is provided, a carbon emission reduction monitoring system is arranged, and the purpose of medium-and-long-term carbon neutralization is achieved. The method effectively solves the problems that current carbon emission reduction evaluation is not accurate and systematic tools are lacked, helps local governments to realize accurate emission reduction and dynamic adjustment of waste-free targets, and has important practical significance and popularization value.

A system and process for sorting and recovery of recyclable materials, and in particular, sorting and recovery of recyclable materials from mixed waste comprising municipal solid waste in a materials recovery facility or “MRF” are provided. Advanced technology and machinery are integrated into a multi-step system and process that are designed to treat contaminated MSW streams to meet or exceed minimum material quality specifications while also reducing and minimizing headcount of sorter personnel. Because the mix of materials in MSW can be so varied and unpredictable, the system and process are designed to effectively sort and recover desired materials from MSW streams having a variety of material compositions.

A method of processing municipal solid waste includes extracting food waste, inert materials, and ferrous and non-ferrous metals from the municipal solid waste, shredding the municipal solid waste and thereby generating a product feed comprising at least 99.7% by volume cellulose-based materials and plastic. The product feed is conveyed to a forming system and a manufacturing product is created out of the product feed with the forming system.

The invention discloses a data-driven urban solid waste incineration process multi-objective operation optimization method, and belongs to the field of intelligent optimization. The method comprises the steps that firstly, nonlinear characteristics of the urban solid waste incineration process are captured through a self-organizing radial basis function neural network, accurate evaluation of operation performance index combustion efficiency and nitrogen oxide emission concentration is achieved, and an accurate optimization target model is provided for follow-up set value optimization solution; then, on the basis of the established optimization target model, a multi-target particle swarm optimization algorithm based on a double-file mechanism is designed, and an optimal solution set of set values of the primary air inlet flow and the secondary air inlet flow is obtained; and according to the optimal solution set, designing a utility function to determine optimal set values of the primary air inlet flow and the secondary air inlet flow, and keeping a relatively high combustion efficiency level while realizing that nitrogen oxide emission reaches the standard. According to the method, the combustion efficiency and the denitration efficiency can be synergistically improved, and efficient and green operation of the urban solid waste incineration process is promoted.

The invention relates to the technical field of lithium ion battery recovery and wastewater treatment, and discloses a method for recovering valuable metals in waste lithium batteries and synchronously degrading antibiotics in water. The method comprises the following steps: adding a waste lithium battery positive electrode material and an oxidizing agent into antibiotic wastewater, and reacting to obtain a positive electrode metal leaching solution; adjusting the pH value of the anode metal leachate to 9-14, and carrying out solid-liquid separation to obtain a lithium-rich filtrate and a transition metal precipitate; and adding a precipitator into the lithium-rich filtrate, carrying out precipitation reaction, and collecting a lithium-rich precipitate. According to the method provided by the invention, based on an advanced oxidation process, the transition metal in the positive electrode material of the waste lithium battery can be oxidized and dissolved by an oxidizing agent to recover metal resources, and can also be used as a catalyst to activate the oxidizing agent to generate free radicals and degrade antibiotics, so that metal recovery and pollutant degradation are synchronously completed in a single system; the method is easy to operate, co-treatment of urban solid waste and wastewater is promoted, and good ecological environmental benefits are achieved.

A system and method for assessing surface methane concentrations through surface emissions monitoring utilizing unmanned aerial vehicles at municipal solid waste landfills. The method uses a combination of UAV-based and ground-based SEM techniques to measure methane concentrations at the surface of a landfill, to calculate zone-average methane concentrations on the surface and to identify methane leaks at landfill cover penetrations.

The invention discloses an image-based urban solid waste (MSW) calorific value prediction method. According to the method, on the basis of a monitoring video of a garbage storage pool, an in-furnace garbage image is captured and screened manually, and an efficient multi-module fusion learning framework is developed by using a deep learning technology. According to the framework, through extracting time sequence features and image visual features of calorific value labels and introducing a variational auto-encoder to process high-dimensional combined features, dynamic prediction of the incineration calorific value of the garbage entering the furnace can be realized. According to the actual working condition, two different time sequence information input strategies are explored, one strategy is that the real heat value at the previous moment is used as input, the other strategy is that the predicted heat value at the previous moment is used as input, and effective information reference and decision support can be provided for incineration intelligent control of the waste incineration power plant.

The invention discloses an intelligent classification and identification method and system for urban solid waste, and relates to the technical field of waste classification and identification. Comprising the following steps: acquiring collected historical junk pictures, and performing unified processing; performing multi-dimensional evaluation on the historical junk pictures after the unified processing, performing quantitative scoring, and screening out the pictures meeting the requirements; performing data enhancement processing on the screened pictures to obtain a historical data set; constructing a junk recognition model based on the historical data set, and training, verifying and testing the constructed junk recognition model to obtain a final junk recognition model; the technical key points are as follows: aiming at a core application scene of garbage mixing and stacking, a corresponding garbage recognition model for realizing high-precision recognition through multi-scale feature fusion and an attention mechanism is constructed, the problem that garbage recognition in a scene with a large amount of garbage and stacking cannot be realized in the prior art is effectively solved, the garbage recognition speed is high, and the recognition efficiency is high. And the requirement for real-time sorting is met, the using effect is good, and the good using prospect is achieved.

The invention relates to the technical field of urban solid waste energy treatment, in particular to a waste incineration combustion condition prediction method and device based on a combined rationalization mechanism and data driving. The method comprises the steps that on the basis of a physical and chemical mechanism involved in the waste incineration process, characteristic values are collected, and a chain type model of a multi-level chain type characteristic system is constructed; constructing a new characteristic value set and a new target value set which reflect dynamic changes; and for each mechanism reaction unit in the multi-level chain type characteristic system, independently training a hybrid model fused with physical constraints, training the hybrid model under physical mechanism constraints based on the pre-processed new characteristic value set and new target value set, and constructing a chain type prediction model for predicting the garbage incineration combustion condition. According to the method, the physical and chemical laws of the incineration process are embedded into the data driving model, accurate prediction of the key parameters of the waste incineration working condition is achieved, and the method is suitable for optimization control of the waste incineration power generation process.

The invention discloses an urban scale solid waste landfill site identification method based on an artificial intelligence target identification algorithm, and belongs to the technical field of urban solid waste management. Comprising the following steps: constructing a multi-source remote sensing image database of an urban scale solid waste landfill site through multi-source data; improving a YOLOv8 model to adapt to a remote sensing image recognition task, and training a solid waste landfill site recognition model for an urban scale by using the data subjected to data enhancement; acquiring a visible light remote sensing image of a target area, performing radiation correction, atmospheric correction and geometric correction, inputting the trained model for reasoning, and identifying a solid waste filling site; and sampling a model identification result, verifying the accuracy through field survey, and compiling an actual material diagram. According to the method, rapid and accurate identification of the urban scale solid waste landfill site is realized by using an artificial intelligence technology, the identification efficiency and accuracy are remarkably improved, and powerful support is provided for urban solid waste management and environmental governance.

Aspects of the invention are associated with the discovery of approaches for the conversion of carbonaceous feeds, such as biomass and biomass-containing solids via thermal treatment. Particular examples of biomass-containing solids are municipal solid waste (MSW), as well as waste plastics and waste tires. In some cases, this conversion, such as by pyrolysis, will allow for straightforward integration with gasification (e.g., entrained-flow gasification) or partial oxidation. Advantageously, processes and associated apparatuses / equipment described herein are tailored to the physical and chemical properties of the feeds. In this regard, important advantages reside in auger reactors that include electric heating elements within one or more auger shafts. Such centralized heating may be used in combination with external heating, for example also utilizing electric heaters. With centralized heating, the surface area available for heat transfer into the feedstock may be increased dramatically (e.g., by a factor of 3 to 5).

An urban solid waste collection and transportation method for classification treatment comprises the steps that picture information of solid waste is collected, and multiple pieces of sub-picture information are obtained after preprocessing; obtaining frequency spectrum feature data in each piece of sub-picture information; inputting the spectrum feature data into a pre-trained convolutional neural network module, and calculating a first feature vector corresponding to each solid waste in the sub-picture information; calculating a node feature matrix based on a trained graph neural network according to the first feature vector corresponding to each solid waste; and outputting a second classification result corresponding to each solid waste according to the node feature matrix. According to the method, on the basis of the convolutional neural network, the graph neural network is creatively introduced, the feature defect of the single solid waste is strengthened by associating the feature information of all the solid wastes in the same batch, and then the category of each solid waste can be more accurately judged.

A method and apparatus (1) for converting solid recovered fuel particles (117) made from municipal solid waste (103) allows the municipal solid waste (103) to be converted into high yields of hydrogen, rather than landfilling or incinerating the municipal solid waste (103). The hydrogen-rich product gas stream (601) can be used as a feedstock for chemical reactions or for storing energy in a releasable manner.

AEROBIC BIO-FERTILIZER DIGESTER FOR MUNICIPAL SOLID WASTE TREATMENT

The present invention belongs to the technical field of urban solid waste treatment, specifically an urban solid waste treatment system, including a solid waste storage assembly, which is placed on the ground and used to block the entering solid waste. An auxiliary mechanism is installed in the middle of the interior of the solid waste storage assembly, and the auxiliary mechanism is used to install and place the components. Crushing devices are installed around the surface of the auxiliary mechanism. The present invention can perform separate crushing of solid waste, thereby dispersing the crushing force of the solid waste, thereby reducing the force load generated during crushing and preventing the occurrence of overload.

Processes for producing high biogenic concentration Fischer-Tropsch liquids derived from the organic fraction of municipal solid wastes (MSW) feedstock that contains a relatively high concentration of biogenic carbon (derived from plants) and a relatively low concentration of non-biogenic carbon (derived from fossil sources) wherein the biogenic content of the Fischer-Tropsch liquids is the same as the biogenic content of the feedstock.

The application relates to a furnace temperature prediction method, system, device and medium for a solid waste incineration process. The prediction method comprises the following steps: acquiring a plurality of groups of characteristic variables affecting furnace temperature and corresponding current furnace temperature values and corresponding historical data groups of next-time furnace temperature values to form case descriptions, and constructing a difference database D in the order of the case descriptions; performing data preprocessing based on the difference database D to obtain a training set; constructing a case difference prediction model based on a deep Q network algorithm according to the training set; obtaining case difference data of the furnace temperature according to the characteristic variables of the current furnace temperature, and taking the case difference data as input data of the case difference prediction model; and obtaining a predicted value of the next-time furnace temperature according to output data of the case difference prediction model, so that the furnace temperature change trend of the urban solid waste incineration process can be accurately predicted, the optimization control of the incineration process is ensured, and the work efficiency is improved.

The invention discloses a method for preparing road concrete through urban solid waste regeneration, belongs to the technical field of concrete processing, and aims to solve the technical problem that the mechanical property, wear resistance and freezing resistance of road concrete need to be further improved in the prior art. The method comprises the following steps: adding an epoxy resin mixed solution, an ammonia water solution and a modified curing agent into a concrete mixer, stirring for 10-15 minutes, adding regenerated rubber powder, regenerated composite fibers, regenerated coarse aggregates, regenerated solid waste mixed powder, a water reducing agent and deionized water, and stirring for 5-10 minutes to obtain a concrete mixture; according to the invention, epoxy resin is taken as a cross-linking agent, a modified curing agent is taken as a flexibilizer, and the epoxy resin, the modified curing agent, the regenerated rubber powder, the regenerated coarse aggregate, the regenerated composite fiber, the regenerated solid waste mixed powder and the deionized water are stirred in a concrete stirrer to obtain the road concrete, so that the mechanical property and the wear resistance of the road concrete are improved; the freezing resistance of the road concrete is also improved.

The present invention provides a method for washing chlorine bypass dust with water, which can reduce the selenium concentration in the wastewater discharged when chlorine bypass dust is washed with water, while keeping costs for equipment and chemicals down. [Solution] A method for washing chlorine bypass dust, comprising a slurrying step of adding washing water to chlorine bypass dust to form a slurry, and a solid-liquid separation step of separating the liquid phase from the slurry, wherein the slurry further contains municipal solid waste incineration fly ash in addition to the chlorine bypass dust, and the municipal solid waste incineration fly ash accounts for 15% by mass or more and 80% by mass or less of the total amount of the chlorine bypass dust and the municipal solid waste incineration fly ash.

The utility model relates to the field of municipal solid waste treatment, in particular to a small device for decomposing municipal solid waste brick slag. The utility model provides an urban solid waste brick slag breaking device which can automatically pour brick slag which is not completely broken into a slag breaking cylinder to be broken and broken again, and improves the solid waste brick slag breaking efficiency. A small urban solid waste brick slag dissolving device comprises a mounting frame, a first conveying belt, a slag dissolving barrel and the like, a left first rotating rod and a right first rotating rod are rotationally arranged on the lower portion of the mounting frame, the first conveying belt is connected between the first rotating rods in a wound mode through a belt wheel, and the slag dissolving barrel is connected to the upper side of the mounting frame. According to the brick slag crushing device, brick slag which is not completely crushed is screened and falls into the collecting hopper on the second conveying belt through the vibrating screen, then the second motor is started to enable the collecting hopper to move upwards, and the brick slag is poured into the slag crushing cylinder to be crushed again through the matching effect of the driving lever, so that the brick slag which is not completely crushed can be automatically poured into the slag crushing cylinder to be crushed again; and the solid waste brick slag degradation efficiency is improved.

The application discloses a kind of urban solid waste incineration process furnace temperature robust prediction method, comprising the following steps: S1, according to the initial furnace temperature model of preset training set is established;S2, assume that the prior distribution of noise in training data follows skew t distribution, the output weight and the set of hyperparameters of model are iteratively optimized by maximum likelihood estimation and expected conditional maximum algorithm, establish furnace temperature prediction model;S3, furnace temperature in incineration process is predicted by furnace temperature prediction model.The process data of urban solid waste incineration process is obtained in real time, and the furnace temperature prediction model based on robust random configuration network is established, the prior distribution of asymmetric abnormal value in incineration process operation data is simulated by skew t distribution with heavy tail characteristics, and the output weight of furnace temperature prediction model is solved by maximum likelihood estimation method, the robustness of furnace temperature prediction model to abnormal data is improved, and the real-time accurate prediction of urban solid waste incineration process furnace temperature is realized.

The invention relates to a construction material (S), wherein the construction material (S) comprises at least cement clinker (ZK) and at least one water hardening additive (X), wherein at least one water hardening additive (X) is mixed with the cement clinker (ZK) and is not a component of the cement clinker (ZK) itself. [0002] According to the invention, the at least one water hardening additive (X) contains conventionally ground and processed municipal solid waste incineration ash (gHMVA), wherein the conventionally ground and processed municipal solid waste incineration ash (gHMVA) has a particle size of < 200 μm, and contains thermally incinerated municipal solid waste (H), and is not subject to any material alteration and / or thermal treatment except during the incineration of the municipal solid waste (H) and / or after the conventional incineration and processing of the municipal solid waste (H).

The invention provides an urban solid waste incineration process nitrogen element product mechanism model construction and use method based on an improved mixed forest, and the method comprises the steps: carrying out the solid-phase and gas-phase combustion simulation of a combustion process, respectively obtaining a solid-phase combustion model comprising a moisture evaporation sub-model, a volatile component release sub-model, a volatile component combustion sub-model and a coke combustion sub-model and a gas-phase combustion model comprising a solid-phase combustion area, a gas-phase combustion area, a high-temperature combustion area and an SNCR purification area; performing an orthogonal experiment on the two combustion models to obtain simulation mechanism data; and constructing an NxOy model based on a width hybrid forest algorithm, and performing nitrogen element prediction on simulation mechanism data. According to the method, multi-working-condition virtual mechanism data is generated through coupling numerical simulation, an interpretable mapping model between manipulated variables and nitrogen element product concentration is constructed by using an improved width hybrid forest algorithm, and theoretical support is provided for strong uncertainty of industrial process modeling data.

The granulation apparatus (100) according to the present application allows for the production of solid recovered fuel pellets from municipal solid waste without the need to separate the constituents of the municipal solid waste prior to starting the granulation process. Thus, a larger amount of municipal solid waste can actually be used for the production of solid recovered fuel pellets. The granulation apparatus (100) and method according to the present application can be used, inter alia, for the production of solid recovered fuel pellets which can be used for the production of a synthesis gas rich in hydrogen and / or carbon dioxide by treating the torrefied solid recovered fuel pellets with a subsequent gas.

The present disclosure relates to embodiments of a process for producing asphalt binder containing a mixture of soft plastics from urban solid waste rich in polypropylene and polyethylene. The asphalt binder produced may be applied in the production of diluent suitable for the production of PAC with pre-salt RASF.

The invention discloses a trench cover plate, and belongs to the technical field of electric power products. The concrete block is composed of a concrete body and a reinforcing structure embedded in the concrete body. The concrete main body is prepared from raw materials including cement, volcanic limestone powder, ceramic fibers and filler, and the reinforcing structure is composed of composite glass fiber reinforcing ribs; wherein the filler is from particles formed by crushing urban solid waste and industrial solid waste; the production process of the trench cover plate adopts an electric power product production intelligent management system based on production full-process tracking. The technical effects that the material performance is stable, and the production efficiency is improved are achieved.