480 results about "Renewable resource" patented technology

The invention relates to the technical field of industrial platform data analysis, in particular to a renewable resource recovery data management system based on the Internet of Things, which comprises the steps of synchronously acquiring weight, spectrum and microwave characteristic data of a tested resource through a data acquisition module, executing moisture weight decoupling operation by utilizing a resource matching module, and performing data analysis; then, an inventory evolution module tracks performance loss of resources in real time by using an evolution model of an integrated long and short-term memory network, generates a resource attenuation weight, and constructs a two-dimensional decision matrix containing scheduling priority and preprocessing strength grade instructions in combination with real-time inventory saturation; and finally, the clearance scheduling module executes dynamic pruning and bidirectional optimization through a resource scheduling model, accurately allocates the loading share and the access sequence of each node, and generates a dynamic instruction set containing a delivery sequence. According to the method, feeding homogenization is realized through industrial data multi-dimensional collaborative analysis.

The uncertainty of availability and risk associated with the cost of power procurement hinders the consumer from using new sources of supply / storage devices or taking part in the competitive power markets or procuring power from green energy resources. Present disclosure provides a method and a system for optimal scheduling of power sources for meeting electricity demand of enterprise. In particular, the system performs portfolio optimization formulation for cost, risk and carbon emission minimization for the enterprise. The portfolio optimization formulation simulates market scenario and guides in providing effective power purchase strategy for enterprise along with real-time adjustments. In particular, the level of risk to be considered along with cost of power procurement and carbon footprint determine portfolio allocation for each time block in portfolio optimization formulation. Thus, enterprise may choose most appropriate terms of contract, best installation size of renewable resources or batteries, and supply sources.

The invention discloses a semi-submersible wave energy-wind energy integrated power generation platform and a damping regulation and control method of a damping regulation and control system of the semi-submersible wave energy-wind energy integrated power generation platform. The platform comprises a semi-submersible wind driven generator platform, a wind driven generator set, a wave energy power generation device, an energy storage system, a sea area detection system and the damping regulation and control system. The wave energy power generation devices are divided into two groups on the inner side and the outer side of the platform, each wave energy power generation device comprises a platform inner side wave energy power generation device and a platform outer side wave energy power generation device, and each wave energy power generation device comprises a swing arm floater, a universal hinge, a connecting arm and a damping adjusting module. The semi-submersible wind power generation device and the wave power generation device are combined, and offshore renewable resources are comprehensively utilized; the six-buoy design is adopted, buoyancy is dispersed, stability and safety are improved, and meanwhile space is provided for a wave power generation device; the floaters are symmetrically arranged in a hexagonal shape and carry a damping regulation and control system, and the whole structure is more easily stabilized by adjusting the damping of the floaters in all directions.

A system and method are disclosed for AI-orchestrated multi-source renewable energy harvesting and decentralized trading. A plurality of energy harvesting nodes convert renewable resources, including solar irradiance, wind, hydrodynamic flow, salinity gradients, geothermal heat, and waste-heat streams, into electrical power. Each node includes a sensor array that measures operating and environmental parameters and an edge AI processing unit that predicts performance degradation and computes control actions to maximize net power output subject to stress constraints. A power conversion subsystem conditions the generated power for delivery to storage, microgrids, or utility grids. A blockchain-based orchestration layer receives validated energy summaries, tokenizes discrete energy quanta as digital energy tokens with provenance metadata, and executes smart contracts for peer-to-peer trading, dynamic pricing, and programmable revenue distribution. A fleet-level AI coordination module performs federated learning across nodes and coordinates dispatch and curtailment among heterogeneous modalities, improving portfolio efficiency, grid stability, and environmental accounting.

The invention provides a method for determining a fault direction value in a power transmission line relative to a device connected within the power transmission line, the method comprising: obtaining a current signal; and determining a fault direction value based on the current signal and a derivative of the current signal for identifying a fault direction based on the fault direction value.

The invention relates to a gasification method based on molten metal, belongs to the technical field of recycling of recyclable and renewable resources such as household garbage, industrial garbage and biomass, and solves the problem that same-quality or high-quality utilization cannot be realized due to incomplete decomposition of macromolecular organic matters in the prior art. Secondary pollution to the environment is caused, and the like. According to the gasification method based on the molten metal, the molten metal serves as a medium and a heat source, a material containing a high-molecular compound is subjected to a decomposition gasification reaction under the action of a gasification agent, and inorganic mixed gas including CO and H2 is generated. The same-quality and high-quality reutilization of recyclable and renewable resources such as household garbage, industrial garbage and biomass is realized.

The invention provides a bottle sorting and data monitoring method and system and bottle recycling equipment. The method comprises the following steps: collecting a visible light image and near infrared spectrum data of a bottle target, and preprocessing the collected visible light image and near infrared spectrum data; extracting a fusion spectrum feature vector of the pre-processed visible light image and the near infrared spectrum data, and generating a feature matrix for material classification; inputting the feature matrix into a lightweight convolutional neural network model deployed in an edge calculation unit, and obtaining a recognition result of the material and form of the bottle; a sorting control instruction is generated based on the recognition result, and motion space state representation is constructed in combination with current state information of the mechanical arm; and inputting the spatial state representation into a path optimization model based on deep reinforcement learning, and outputting and executing an optimal sorting path and a coordination action sequence. According to the method, the precision and robustness of bottle identification can be improved, the recycling efficiency of renewable resources can be improved, and the recycling cost can be reduced.

The invention discloses a renewable energy source-oriented power system planning method. The method comprises the following steps of S1, collecting load data of a power system; s2, according to the historical renewable resource power generation power, the historical meteorological data and the predicted meteorological data, predicting renewable resource power generation power within a preset time range; s3, predicting a power load demand in a preset future time range by adopting LSTM according to the collected load data and historical load data; s4, according to the predicted power generation power, the predicted power load demand, a preset constraint condition and a preset optimization target, a power system planning model is constructed, and the optimization target comprises the minimum power generation cost and the maximum renewable energy utilization rate; and S5, solving the power system planning model by adopting a genetic algorithm to obtain an optimal power system planning scheme. Through the optimal power system planning scheme, the power generation cost is reduced, and the utilization rate of renewable energy sources is improved.

The invention discloses a power grid intelligent planning and load prediction integration method. The method comprises the following steps: S1, acquiring load data of a power system; s2, acquiring historical load data, and predicting load data by adopting an LSTM neural network according to the historical load data and the acquired load data; s3, acquiring renewable resource generating capacity, historical meteorological data and meteorological data predicted by weather forecast, and predicting the renewable resource generating capacity by adopting a random forest according to the renewable resource generating capacity, the historical meteorological data and the meteorological data predicted by the weather forecast; s4, evaluating demand data of the power system for the energy storage system according to the predicted renewable energy power generation amount and load data; and S5, according to the demand data, generating a power grid energy storage system planning strategy including charging and discharging time and power distribution. By optimizing the operation strategy of the energy storage system, the power grid can more flexibly cope with load change and fluctuation of renewable energy sources, and the operation risk of the power grid is reduced.

The invention discloses a power renewable resource recovery carbon footprint modeling method and system, relates to the technical field of power renewable resource recovery, is used for solving the problems of reduced regional load capacity and lack of dynamic matching mechanism fusion, and constructs a carbon emission factor library and calculates carbon emission intensity through carbon emission data of each link of power waste and old materials; in combination with the carbon emission intensity, the logistics distance and the processing complexity, a fuzzy clustering algorithm is adopted to carry out risk division on a recovery path; logistics nodes and energy consumption parameters of the high-risk area are collected, and the carbon emission bearing capacity of the area is evaluated; according to the method, the actual carbon emission amount is detected, the carbon footprint weight is calculated through the analytic hierarchy process, weighted summarization is carried out, the total carbon footprint amount of the whole life cycle is obtained, dynamic modeling and accurate evaluation of the whole carbon emission process are achieved, the green management level of a recovery system is improved, and scientific support is provided for an emission reduction strategy.

The invention provides a converter station power supply side wind power and photovoltaic novel power supply output prediction model and method, and belongs to the field of electric power prediction. Data are processed and analyzed through various technologies such as an isolation forest algorithm, autocorrelation, partial autocorrelation analysis, Pearson correlation coefficients and maximum information coefficients. And then, constructing a power generation output prediction model of wind, light and water renewable resources by adopting a bidirectional long-short-term memory network based on an Attention mechanism, and realizing accurate prediction of future new energy power generation output. According to the method, various data processing and prediction technologies are integrated, various factors influencing new energy power generation output are comprehensively analyzed, the prediction accuracy and reliability are improved, and the method plays an important role in promoting optimal scheduling and operation safety of a power grid.

The invention relates to the technical field of recycling of renewable resources, in particular to an asphalt pavement milling material cold-recycled prefabricated part and a preparation method, and the asphalt pavement milling material cold-recycled prefabricated part is prepared from the following raw materials in parts by weight: 45 to 53 parts of waste pavement milling material with the particle size of less than 4.75 mm, 19 to 27 parts of waste pavement milling material with the particle size of 4.75 to 9.5 mm, 20 to 28 parts of stone chips, 1 to 1.4 parts of mineral powder, 1.6 to 2.0 parts of silica fume, 4.6 parts of water, 2.3 to 2.7 parts of cement and 2.3 to 2.7 parts of foamed asphalt. According to the invention, the waste asphalt pavement milling material is used as the raw material of the concrete prefabricated component, so that the resource is saved, the utilization rate of the asphalt milling material is increased, and the green development concept is met; the prefabricated parts are manufactured through a cold regeneration process, compared with a traditional hot mix plant regeneration process, energy is saved, environment friendliness is achieved, emission of greenhouse gas is reduced, and therefore the problems that the hot mix plant regeneration mode is high in cost and carbon emission are solved.

The invention relates to the technical field of multi-energy complementation and optimal configuration, and discloses a multi-energy coordinated optimization method and device based on port electricity load characteristics. The method specifically comprises the following steps: acquiring a load high-resolution power parameter and a renewable resource supply power parameter; matching the load high-resolution electric power parameter with the renewable resource supply electric power parameter, determining a matching matrix of the electric power required by the load and the renewable resource supply electric power, and determining a power supply resource allocation strategy of the multi-energy energy storage system according to the matching matrix; and based on the objective function of the power supply resource allocation strategy, performing coordinated optimization on the power supply resource allocation strategy, and determining a dynamic optimization strategy. The power supply resource allocation strategy is coordinated and optimized through the objective function considered in the invention, so that the power supply cost and the waste of power supply resources can be reduced, and the stability and reliability of the port energy system are enhanced.

The invention discloses a renewable resource sorting management system based on image analysis. The renewable resource sorting management system comprises an image acquisition module, an image analysis module, a scheduling control module, a real-time monitoring module and a re-analysis module, the image acquisition module comprises a multispectral imaging unit and a 3D point cloud acquisition unit; the image analysis module executes the following steps: (a) matching multispectral data through a material fingerprint database to obtain a material type; (b) calculating the spatial density distribution of the 3D point cloud; (c) fusing the material type and the spatial density distribution to generate renewable resource partition information; the scheduling control module is used for scheduling the sorting equipment according to the partition information; the real-time monitoring module is used for collecting equipment state and sorting information; and the re-analysis module generates equipment management information and sorting evaluation information. According to the system and the method, high efficiency, intelligence and sustainability of renewable resource sorting are realized through an economic oriented strategy, intelligent equipment maintenance and data-driven optimization.

The invention discloses a new energy bearing capacity-considered adjustable resource ratio and energy storage distribution point optimization method, which comprises the following steps of: establishing a wind power generation model, a photovoltaic power generation model and a storage battery model, and calculating the optimal energy storage system capacity, namely the storage battery capacity; taking the distribution proportion of wind power and photoelectricity in the optimal energy storage system capacity state as a constraint condition, taking the maximum value of the annual total generating capacity of wind power and photovoltaic energy in each region in the power grid as a target function, establishing a wind and light storage capacity optimal proportion model, and solving to obtain the optimal proportion of each distributed resource capacity; and determining the optimal layout position of the energy storage system in the power grid, establishing an energy storage stationing optimization model by taking the maximum energy storage utilization rate and the minimum energy storage construction and maintenance cost as objective functions, and solving to obtain the optimal energy storage stationing position. According to the method, the bearing capacity of the power grid to renewable resources is improved, the adaptability and flexibility are high, and system configuration can be dynamically adjusted according to resource conditions and load requirements of different regions.

The invention relates to a molten metal reaction kettle, belongs to the technical field of recycling of recyclable and renewable resources such as household garbage, industrial garbage and biomass, and solves the problems of incapability of realizing same-quality or high-quality utilization caused by incomplete decomposition of macromolecular organic matters in the prior art, secondary pollution to the environment and the like. The molten metal reaction kettle is characterized by comprising a primary molten metal reaction kettle and a secondary molten metal reaction kettle which are communicated with each other through a gas-liquid channel, a first metal pool is arranged in the first-stage molten metal reaction kettle, a second metal pool is arranged in the second-stage molten metal reaction kettle, the bottom of the second metal pool is higher than the bottom of the first metal pool, and the first-stage molten metal reaction kettle and the second-stage molten metal reaction kettle are horizontally arranged in a staggered mode. The same-quality and high-quality reutilization of recyclable and renewable resources such as household garbage, industrial garbage and biomass is realized.

The invention discloses a recycled aggregate concrete lightweight partition board and a manufacturing method thereof, cement, coarse aggregate, fine aggregate, pearl grains and fibers are subjected to dry mixing together to form a mixture; mixing an adhesive and a first part of water, and adding the mixture into the mixture to form a first mixture; after CaCl2 and NaCl are mixed with a second part of water, a plasticizer and a foaming agent are added, and after foaming is completed, a second mixture is formed; performing dry mixing on the second mixture and the first mixture to obtain a concrete mixture, and curing to obtain the partition board. According to the invention, the biological waste shells are applied to the concrete, and the construction waste aggregate is used for replacing the natural gravel aggregate in the traditional cement-based partition wall board, so that the renewable and environment-friendly concrete partition wall board is prepared, meanwhile, the material ratio and the preparation method are simple, solid wastes are effectively utilized, the consumption of non-renewable resources is reduced, and the cost is reduced. Popularization and application are facilitated.

The utility model relates to a molten metal reaction kettle, belongs to the technical field of recycling of recyclable and renewable resources such as household garbage, industrial garbage and biomass, and solves the problem that the same-quality or high-quality utilization cannot be realized due to the fact that macromolecular organic matters are not thoroughly decomposed in the prior art. Secondary pollution to the environment is caused, and the like. The molten metal reaction kettle comprises a first-stage molten metal reaction kettle, and the first-stage molten metal reaction kettle comprises a feeding port, a first gasifying agent spray gun mounting port and a second gasifying agent spray gun mounting port which are formed in the top of the first-stage molten metal reaction kettle, and a first metal pool arranged in the first-stage molten metal reaction kettle. The same-quality and high-quality reutilization of recyclable and renewable resources such as household garbage, industrial garbage and biomass is realized.

The invention belongs to the technical field of environment-friendly functional materials, and particularly relates to a permeable floor for upgrading renewable resources of wind power generation blades. The material comprises the following components in parts by weight: 30-40 parts of wood flour, 40-50 parts of regenerated polyethylene, 10-20 parts of modified wind driven generator blade regenerated glass fiber powder, 8-12 parts of sodium bicarbonate, 1-2 parts of a coupling agent, 1-2 parts of a lubricant and 1-2 parts of an antioxidant. Through a special modification treatment process, the waste wind power generation blades are converted into renewable resources with high additional value, and the water permeable floor with excellent performance is prepared. The floor provided by the invention not only has good mechanical properties and water permeability, but also has remarkable antibacterial ability, can effectively inhibit bacterium breeding, and provides a healthier and safer living environment for people. The product has wide application prospects in various places such as urban footpaths, hospitals, laboratories and the like, and meanwhile, the dual purposes of recycling resources and protecting the environment are achieved.

The invention provides an alcohol-based automotive clean fuel and a preparation method thereof. The alcohol-based fuel comprises the following components in parts by weight: 60-90 parts of methanol, 2-10 parts of ethanol, 1-5 parts of multi-carbon alcohol, 5-15 parts of aliphatic ether, 0.2-2 parts of a catalyst, 2-6 parts of peroxide and 1-3 parts of a corrosion inhibitor. The alcohol-based fuel prepared by the invention has a relatively high octane number, which shows that the anti-knock property is good, and knock is not easy to occur when the alcohol-based fuel is used in an engine; the sulfur content is relatively low, so that the corrosion to engine parts can be reduced, the emission of sulfur dioxide is reduced, and the environmental pollution is reduced; the density is relatively high, so that the combustion heat value can be improved, and the stability in the storage and transportation processes is higher; the copper sheet corrosion grade is low, which shows that the corrosion to metal is low; compared with the prior art, the alcohol-based fuel has low emission of HC, CO and NOx, which indicates that the alcohol-based fuel is greener and cleaner, and the raw materials such as methanol and ethanol can be prepared from renewable resources such as wood chips, corncobs, cereals and straws, so that the requirement of sustainable development is met.

The invention provides a light-weight automobile appearance decorating part added with recycled waste and a forming process of the light-weight automobile appearance decorating part, and belongs to the technical field of automobile part manufacturing. The preparation method comprises the following steps: mixing a core layer melt containing polypropylene recycled after consumption, waste tire rubber and a styrene-ethylene-butylene-styrene block copolymer with a supercritical fluid to form a uniform dispersion; after an acrylonitrile-styrene-acrylate copolymer surface membrane is formed in a mold cavity, injecting the uniform dispersion to drive the membrane to extend and fill; and gas is induced to generate heterogeneous nucleation on the surfaces of the waste tire rubber particles through pressure relief and grow into bubbles. On the premise that the surface glossiness is not degraded, light weight and high toughness of the appearance decorating part and efficient utilization of renewable resources are achieved.

The invention discloses a strong coupling cooperative treatment method for urban vein industrial park waste, and relates to the technical field of urban waste treatment. The method comprises the steps of 1, classified collection and pretreatment; 2, waste treatment; 3, waste strong coupling cooperative treatment; 4, information management and monitoring are carried out, effective integration of energy and material flow among different types of waste is achieved through the waste strong coupling cooperative treatment technology, waste heat generated by metal waste smelting or medical waste incineration is used for the anaerobic digestion process, the biomass energy conversion efficiency is improved, and the energy utilization rate is increased. The method has the advantages that the requirements of external energy sources are reduced, internal circulation and efficient utilization of the energy sources are achieved, in addition, building waste, sludge and the like are converted into soil conditioners or renewable resources, plastic cleaning waste water is recycled in the production process or the greening and cleaning link in the park, maximum recycling and cyclic utilization of the resources are embodied, and the sustainable development principle is met.

The invention discloses an efficient preparation process of cryolite, and relates to the field of cryolite preparation. The process comprises the following steps: S1, taking carbon residues ground by a ball mill, and putting the carbon residues into a dissolution reaction kettle filled with alkali liquor for reaction; s2, after the reaction in the reaction kettle is finished, filter pressing is performed through a plate-and-frame filter press, and coarse carbon powder and filtrate are obtained; s3, pumping the filtrate into a carbon reaction kettle, and introducing carbon dioxide for reaction; s4, after the reaction in the carbon component reaction kettle is finished, carrying out filter pressing through a plate-and-frame filter press; and S5, drying the solid material obtained by filter pressing in a calcining furnace to obtain cryolite. In the process, the industrial waste carbon residue is used as a raw material, and participates in a series of reactions to prepare the cryolite after being subjected to ball-milling refining treatment, so that resource recycling of the waste is realized. The method not only effectively reduces the pollution of the carbon residue to the environment, reduces the accumulation amount of solid wastes, but also reduces the exploitation of natural cryolite minerals, and protects non-renewable resources.

The invention provides a power generation cost and prediction error-based park new energy consumption capability assessment method and apparatus, and a storage medium, and relates to the technical field of industrial park power system optimization scheduling. The method comprises the following steps: step 1, constructing power generation models of different power generation resources in a park according to wind power photovoltaic power generation capacity constraints, thermal power generating unit operation constraints and energy storage equipment operation constraints; 2, adjusting new energy consumption based on the load demand response potential of the park, and constructing an upper-layer consumption model by taking the maximum consumption amount as a target function; 3, according to the operation cost of the thermal power generating unit, the adjustment cost of the energy storage equipment and the adjustment cost of the load, constructing a lower-layer cost model by taking the minimum total cost as an objective function; and 4, evaluating the new energy consumption capability of the park based on the power generation model, the upper-layer consumption model and the lower-layer cost model. The utilization rate of renewable resources is improved, the resource cost is saved, and the accuracy of evaluating the new energy consumption capability is greatly improved.

The invention discloses cold bonding ceramsite and a preparation method and application thereof in pervious concrete.The cold bonding ceramsite is prepared from, by mass, 70-120 parts of solid waste base material, 5-8 parts of activating agent and 5-10 parts of binder, and the solid waste base material is prepared from dredged sludge, fly ash and waste concrete powder. The cold-bonded ceramsite is prepared from the solid waste base material under the conditions of microwave radiation, multi-element activation, granulation and staged maintenance, a high-temperature calcination process is not involved, the solid waste base material is fully utilized, the energy consumption of ceramsite preparation is reduced, solid waste resourceful treatment is realized, the land pressure of landfill is relieved, and the consumption of non-renewable resources is reduced. The prepared cold-bonded ceramsite is applied to the preparation process of the pervious concrete, the obtained pervious concrete has high strength, freeze-thaw resistance and salt corrosion resistance, and the comprehensive performance is remarkably improved.

The invention discloses a high-strength environment-friendly ceramsite crack proppant, and the high-strength environment-friendly ceramsite crack proppant forms a multi-layer composite network structure with complete functions through chemical reaction and physical complementation among the components. According to the structure, the mechanical strength, corrosion resistance and conductivity of the material are remarkably improved, and efficient utilization of resources and sustainable protection of the environment are achieved by utilizing industrial wastes and renewable resources. The synergistic effect of all the components on the molecular level enables the composite proppant to be perfectly balanced between high performance and environmental protection, multiple requirements of modern industry for efficient and environmental protection materials are met, and the composite proppant has wide application prospects and remarkable market competitiveness.

The present invention relates to an energy flow scheduling method based on multi-agent reinforcement learning, and the method comprising: designing an energy flow transmission mode for clustered islands, so as to describe energy transmission processes in between the clustered islands; building an energy flow transmission model for the clustered islands based on the energy flow transmission mode; establishing an energy system energy management model for the clustered islands; and realizing energy flow scheduling for the clustered islands based on multi-agent reinforcement learning methods and solving an energy management strategy. In the present invention, based on multi-agent reinforcement learning methods, in consideration of location characteristics of the clustered islands, reserves of renewable resources and mobile energy storage of electric vessels, self-adaption to changes in load requirements of islands with human settlements is satisfied.

The invention relates to a bamboo edge band and a continuous preparation method thereof, and belongs to the technical field of bamboo processing and furniture manufacturing. The problems that in the prior art, a resin edge band is poor in environmental protection property, and a wood edge band is low in preparation efficiency and prone to deformation and cracking are solved. The bamboo edge banding is obtained through continuous hot pressing of an assembly, and the assembly is composed of a lower-layer dry gum dipping net-shaped fabric and an upper-layer bamboo curtain. In the aspect of environmental protection, the bamboo material serving as a natural renewable resource meets the green and environment-friendly requirements, and is beneficial to guaranteeing the indoor air quality; in the aspect of stability, the impregnated net-shaped fabric in the structure has strength and toughness after being dried, the impregnated net-shaped fabric and the bamboo curtain assembly are mutually cooperated after being subjected to hot pressing, supporting and restraining can be provided for the bamboo curtain, deformation is reduced, and compared with wood edge sealing strips, the bamboo curtain edge sealing strip is higher in structural stability and beneficial to long-term use; and in the aspect of the decorative effect, the texture of the bamboo furniture main body is more coordinated and unified, the overall attractiveness is improved, and higher product value is created.

The invention provides an automatic management method and system for resident autonomous putting of renewable resources, and relates to the field of sorting of certain recycled articles, the method comprises the following steps: after a bag taking request sent by a resident passing identity authentication is detected, a distribution device is controlled to open lock bins for storing environment-friendly bags, and each lock bin corresponds to a number; generating a collar bag record order according to the identity information of the resident and the corresponding serial number of the lock cabin; after the recoverer passing the identity authentication scans the two-dimensional code on the environment-friendly bag, the self-service sorting device is controlled to classify and weigh the packaged recycled articles in the environment-friendly bag, and the types of the recycled articles and the corresponding weight of each type of recycled articles are obtained; determining a recovery price corresponding to the collar bag record order according to a preset pricing form and the weight corresponding to each type of recovered articles; and carrying out online settlement on the residents according to the recovery price, and generating a recovery record list. By implementing the method, the putting process of the residents can be simplified, and the enthusiasm of the residents participating in recovery and the recovery efficiency and accuracy can be improved.

The invention discloses a recycling method and system based on a renewable resource cloud platform, and the method comprises the steps: obtaining image data based on renewable resource data in cloud platform historical data; inputting into a lightweight convolutional neural network to carry out resource type identification model training; waste resource image data and infrared spectrum data are obtained through a multi-source sensor and input into a resource type recognition model, and recoverable resources in waste resources are recognized and obtained; resource classification is carried out on the basis of the recognition result, the waste is classified and stored into independent containers through a compression sorting device, and basic information labels are added; data are monitored in real time through a cloud platform, an optimal recovery path is dynamically planned, and task allocation is performed on a recovery vehicle. The system has the advantages that the recycling path is monitored and optimized in real time through the cloud platform, accurate waste classification and efficient recycling are achieved, and the intellectualization and automation of resource recycling are improved.