110results about How to "Improve sustainability" patented technology

This invention discloses a method for preparing high-quality bio-based 1,9-nonanediol, comprising the following steps: transesterification, precipitation, fatty acid methyl ester refining, ozone oxidation pyrolysis, solvent recovery, esterification, dimethyl azelaate refining, and hydrogenation to obtain high-quality bio-based 1,9-nonanediol. This invention achieves gradient and full-component utilization of vegetable oil raw materials: the oil-based portion of triglycerides is used to produce high-quality bio-based 1,9-nonanediol, while simultaneously producing byproducts such as methyl palmitate, methyl stearate, propionic acid, hexanoic acid, and nonanoic acid; the glycerol-based portion of triglycerides is used as a byproduct of glycerol production. This invention utilizes esterification to reconstruct the products of ozone oxidation pyrolysis, converting the high-boiling-point monomethyl azelaate into the low-boiling-point dimethyl azelaate, achieving efficient separation from saturated fatty acid methyl esters. The dimethyl azelaate, as a raw material, is then hydrogenated to obtain high-quality nonanediol, significantly reducing production costs.

The invention discloses an immunofluorescence imaging method for driving tyramine signal amplification based on chemiluminescence and application thereof, and relates to the technical field of biomedical imaging. The immunofluorescence imaging method comprises the following steps: carrying out first incubation on a to-be-detected sample and a peroxidase-labeled antibody; performing second incubation on the to-be-detected sample after the first incubation and a tyramine substrate containing a fluorophore under a dark condition; adding a chemiluminescent substrate solution into the to-be-detected sample after the second incubation, and carrying out image acquisition; wherein the antibody can be specifically bound with a target protein; the tyramine substrate can generate active free radicals under the catalysis of peroxidase, so that the active free radicals are covalently cross-linked with tyrosine residues; the chemiluminescent substrate solution comprises hydrogen peroxide and luminol. The immunofluorescence imaging method improves imaging signal and fluorescence stability, effectively reduces background interference and phototoxicity, is suitable for long-time stable fluorescence immunoimaging, and is especially suitable for high-sensitivity detection of low-expression protein markers.

This invention relates to the field of biotechnology, specifically disclosing a microalgal starch rich in resistant starch and its preparation method. Microalgae are cultured under nitrate-nitrogen or nitrogen-deficient (-N) conditions, with pure air or air containing CO2 introduced, and bicarbonate, glycolate, and glycerol supplemented as carbon sources, under continuous light conditions, allowing the microalgal cells to grow and accumulate resistant starch. The yield and content of the resistant starch prepared by this invention are significantly improved compared to uncontrolled conditions. The resistant starch yield is increased by 49–169% compared to uncontrolled conditions; the resistant starch production is increased by 49–278% compared to uncontrolled conditions; and the percentage of resistant starch in total starch (%TS) is increased by 32–134% compared to uncontrolled conditions.

The application discloses a rice nutrient precision monitoring and fertilization decision system based on multi-source data fusion, and particularly relates to the field of precision agriculture, and is used for solving the problems of nutrient monitoring deviation and inaccurate fertilization caused by spectral saturation during the rice vigorous growth period, and is achieved by the following steps: collecting red edge and near-infrared reflection from multiple angles, synchronously acquiring texture and structure images and fusing to generate an anti-saturation feature cube, outputting a vigorous growth period feature package by spatiotemporal segmentation at the phenological transition point, constructing a separable nitrogen trace spectrum by eliminating saturated response, outputting a prescription front graph by adjusting the balance coefficient under the calculation of energy concentration and water layer confluence indicators in a context constraint graph, and finally outputting an execution prescription graph by combining historical trajectories and micro-terrain to check the landing point, so that the vigorous growth period diagnosis precision is improved, over-fertilization or under-fertilization is avoided, and efficient nutrient management is realized.

The utility model relates to electronic cigarette technical field, the present application discloses a kind of electronic cigarette atomization seat, including electronic cigarette main body, the cartridge main body is arranged on the top surface of electronic cigarette main body, the cartridge main body middle part is equipped with suction port, the cartridge main body bottom end is fixed with atomization seat main body by bolt, the atomization seat main body inside is fixed with limit baffle, the limit baffle inside is placed with oil storage piece, the utility model is fixed in the cartridge main body bottom end by atomization seat main body detachable, and the oil in the cartridge main body inside is transmitted to oil storage piece by oil guide piece, while electronic cigarette main body carries out electrification to electrically conductive interface, so that current is conducted to heating coil inside by heating wire, so that heating coil heats oil storage piece, in turn makes smoke, solves the electronic cigarette atomization seat fixed in cartridge inside with disposable cartridge use completion and discard, increase the production cost of enterprise.

This invention belongs to the field of headphone technology, and specifically relates to a quick-release structure for a headphone battery with elastic contact. It includes: a sound-generating unit with a mounting groove containing a receiver, and at least two inductive elements; and a battery unit with a conductive plate located inside the battery unit. By placing the conductive plate inside the battery unit, leakage caused by contact between the battery electrodes and the external environment is prevented. When the battery unit needs to be placed on the sound-generating unit, the receiver contacts the conductive plate, thereby establishing circuit continuity. This allows for easy assembly and disassembly of the battery unit and the headphone's sound-generating unit. During assembly, simply placing the battery unit on the sound-generating unit allows for automatic alignment and circuit connection through physical contact, eliminating the need for soldering, ribbon cables, or connectors, significantly reducing the difficulty and cost of automated assembly.

The utility model relates to a height-adjustable SB-grade guardrail which comprises a stand column, an anti-blocking block is fixedly installed on the stand column, a wave-shaped guardrail is detachably and fixedly installed on the anti-blocking block, the anti-blocking block comprises a front side plate and a rear side plate which are symmetrically arranged, and a connecting part is arranged on the upper portion of the side, connected with the wave-shaped guardrail, of each side plate. A top plate is arranged on the side, connected with the wave-shaped guardrail, between the tops of the two side plates, a mounting cavity is formed in the side, away from the wave-shaped guardrail, of each side plate, the mounting cavity is defined by a first limiting plate, a second limiting plate and the two side plates, the first limiting plate is fixedly connected between the interiors of the two side plates, and the second limiting plate is fixedly connected between the interiors of the two side plates. The second limiting plate is fixedly connected between the sides, away from the wave-shaped guardrail, of the two side plates. Adjusting hole sets are formed in the positions, corresponding to the mounting cavities, of the stand columns, and mounting hole sets are formed in the side plates. According to the utility model, a height adjusting space is reserved for paving the road surface, the SB-level protection level is maintained, the construction is simple and convenient, the cost is low, the compatibility is strong, and the green road construction concept is met.

The utility model discloses a self-energized multi-parameter environmental monitoring system, which comprises an environmental parameter acquisition module, a main controller, a self-energized module and a wireless communication module, the self-powered module is connected with the main controller and the wireless communication module. The environmental parameter acquisition module and the wireless communication module are both in communication connection with the main controller; the self-powered module comprises a thermoelectric power generation module, an energy acquisition module and an energy management module which are connected in sequence; the thermoelectric power generation module is used for generating power by adopting a thermoelectric material through the temperature difference between the human body surface and the outside to generate weak voltage; the energy acquisition module is used for collecting weak voltage to form large voltage; the energy management module is used for charging the battery by using the collected voltage so as to supply power to the system; the environmental parameter acquisition module comprises an oxygen concentration detection unit, a temperature and humidity detection unit, a volatile organic compound concentration detection unit, a pressure intensity detection unit and a smoke concentration detection unit. The system has the advantages of comprehensive environment monitoring and the like.

The application provides a kind of based on edge computing and big data's wisdom campus safety early warning method and system. Through edge computing node, real-time collection is carried out to multiple video data streams, frame sequence segmentation and space-time feature extraction are carried out, initial behavior feature set is generated, initial behavior feature set is carried out multidimensional correlation analysis based on preset behavior semantic label, space-time behavior feature vector corresponding to target monitoring scene is extracted, and is transmitted to central server, space-time behavior feature vector is input into target behavior identification model, behavior semantic description sequence corresponding to video data stream is generated, and according to its matching result with preset abnormal behavior rule library, real-time behavior monitoring result is determined, real-time behavior monitoring result is received by edge computing node, and based on dynamic priority strategy, the collection parameters of video data stream are adaptively adjusted.The application can improve the real-time performance, accuracy and system sustainability of campus behavior monitoring.

The utility model belongs to the field of environmental protection and water supply and drainage engineering technology, especially relate to a kind of initial rainwater regulating reservoir liquid level intelligent regulation and control device, including water storage pool body, cover and baffle etc., cover is installed in the upper portion of water storage pool body, and the upper opening of water storage pool body is blocked, baffle is fixedly connected in the inside of water storage pool body, and the inside of water storage pool body is separated into two independent water storage spaces. Two independent water storage spaces are formed by the baffle, the water quality detector is used to monitor the rainwater pollution degree in real time, and the electromagnetic valve one and the electromagnetic valve two in the intelligent regulation and control assembly are used to realize the automatic conduction of the corresponding channel of the shunt pipe, so that the rainwater is introduced into the corresponding water storage space through two water inlet pipes, effectively solving the problems of inaccurate identification, unclear classification and lack of targetedness in traditional initial rainwater control, and realizing efficient classification collection and accurate management of rainwater with different pollution degrees.

The invention discloses a cloud server cipher machine-oriented virtual cipher machine fault drift method and system. The method comprises the following steps of: managing a VSM resource pool and issuing a platform drift key pair to each virtual cipher machine VSM; continuously monitoring the running state of each VSM, and when a fault is detected, packaging a migration packet of core data carried by the fault VSM; generating a symmetric key, packaging the migration packet into a digital envelope through a platform drift key, and generating a digital signature to obtain a key data drift packet; a target VSM is dynamically selected, a key data drift packet is received, a digital envelope is decrypted to obtain a migration packet, a digital signature is verified, the migration packet is transmitted to the target VSM, key assets and configuration information are thermally loaded, and data recovery is completed; unbinding the IP address of the source fault VSM and configuring the IP address to the target VSM in real time; performing secure erasure and initialization operation on the faulted VSM, and re-incorporating the faulted VSM into the resource pool; the system comprises a management center, an equipment management service and a virtual cipher machine.

The invention discloses a bearing capacity self-adaptive scheduling system and method for a high-proportion new energy power grid, and relates to the technical field of power system scheduling. The system adopts a three-layer structure: a multi-dimensional bearing capacity state generation layer constructs a power grid digital twinborn body which can be updated in a rolling manner, models bearing capacity into a multi-dimensional bearing capacity state variable and maps the multi-dimensional bearing capacity state variable into a bearing capacity constraint parameter, and constructs an operation feasible region; a rolling scheduling optimization decision-making layer establishes a rolling scheduling optimization model of cross-time scale coupling under the uncertainty of new energy output, and generates a scheduling scheme meeting the operation feasible region constraint and the consistency constraint; and the online safety check and feedback layer performs online safety check by adopting an agent model based on the digital twinborn body, outputs a corrected bearing capacity constraint parameter to update the operation feasible region and trigger re-solving, and issues an execution instruction and writes back operation feedback for continuous updating after the check is passed. According to the method, the real-time performance and the scheduling performability of the security boundary description can be improved, and the new energy consumption capability is improved.

The application discloses a method for preparing polyethylene wax by using a carborane bridged rare earth metallocene catalyst, and simultaneously preparing a carborane bridged indenyl rare earth metallocene compound as a main catalyst, loading the prepared main catalyst and a cocatalyst on a magnetic mesoporous Fe3O4@Al2O3 core-shell nanoparticle carrier to obtain a supported rare earth metallocene catalyst; the main catalyst of the application is a carborane bridged indenyl rare earth metallocene compound with a structure shown in formula (I), wherein a bridging group adopts a closed carborane (closed-1,2-dicarbadodecaborane), and the cage-like three-dimensional structure has super-high thermal stability and chemical inertness and does not degrade or rearrange in a high-temperature molten state of 130-200 DEG C. Large-volume substituents such as methyl, tert-butyl, phenyl or 4-tert-butylphenyl are introduced on the indene ring to provide sufficient steric protection and further inhibit chain transfer and side reactions at high temperatures.

The invention discloses leek harvesting and hotbed chive cultivation integrated equipment. The equipment comprises an advancing device, and a bionic cutting device, a sleeve conveying device, a flexible conveying device and a sleeve placing and stably holding device which are integrated on the advancing device. The bionic cutting device achieves bionic linkage of clamping, lifting and cutting through a single driving piece and a gear transmission mechanism, harvesting damage is effectively reduced, the sleeve conveying device is provided with a rotatable baffle mechanism, double-channel conveying blockage is prevented, the sleeve placing and stabilizing device adopts a double-groove cam separation mechanism and a clamping jaw type stabilizing mechanism, and the cutting efficiency is improved. And stable separation and placement of the sleeve are realized. The equipment can automatically identify the position and crop rotation of Chinese chives through integrating visual identification and a main control system, cooperatively controls each module to complete the whole-process integrated continuous operation from identification, harvesting, conveying to sun-shading sleeve placement, and has the advantages of high automation degree of operation, small crop damage, stable and reliable sleeve placement and suitability for large-scale continuous production.

This invention provides a method for synthesizing dimethyl carbonate, belonging to the field of carbonate compound synthesis technology. The synthesis method of this invention does not require high temperature and high pressure conditions, and can be carried out at room temperature and pressure, significantly reducing energy consumption and equipment requirements. By coupling the reduction and oxidation reactions of photoelectrochemical carbon dioxide conversion, the synthesis energy barrier of dimethyl carbonate is lowered, improving energy utilization efficiency. Using greenhouse gas carbon dioxide as the main raw material, waste resource utilization is achieved, and the energy used is clean energy such as solar or electrical energy, avoiding pollution at the source. This invention couples the carbon dioxide conversion and dimethyl carbonate synthesis steps, realizing the recycling of the reactant methanol within the system, simplifying the process flow. The combined use of light and electrical energy produces a synergistic effect, improving the reaction rate and the selectivity of dimethyl carbonate.

This utility model relates to a novel high-voltage cable coupler, comprising a coupler plug, a coupler socket, a measurement module, and an energy harvesting module. Windows and / or aviation sockets are provided on both the coupler plug and the coupler socket. The measurement module and the energy harvesting module are encapsulated within the entire cable coupler. The high-voltage cable coupler in this design has windows for wireless communication, optical detection, and image recognition functions. This design detects the ambient temperature and humidity, arc light, contact temperature, electrical quantities, and internal temperature of the high-voltage cable coupler, providing support for intelligent monitoring and status judgment, fault detection, and location of the high-voltage cable coupler. The energy harvesting module in this design features adaptive energy management, adapting to various complex environments, eliminating the need for an external power source, freeing it from energy constraints, improving equipment autonomy, reliability, and sustainability, and reducing maintenance costs.

This invention provides a method and system for mine ecological restoration, relating to the field of ecological environment restoration technology. The method includes: obtaining soil damage characteristics based on a pre-acquired ecological area to be restored; obtaining a mine geological composition based on the soil damage characteristics and pre-acquired restoration goals, combined with geological soil selection principles; obtaining a plant species composition based on sampling results from pre-acquired sample plots and restoration goals; and performing ecological restoration of the ecological area to be restored based on the mine geological composition and plant species composition. This invention accelerates the process of geological soil formation and vegetation restoration in abandoned open-pit mines, improves the tolerance of restored vegetation communities to climate fluctuations, and truly achieves precise and sustainable ecological restoration of open-pit mines.

The application discloses an intelligent fish protection and fish returning method and system based on deep learning, which obtains fish body images and total weight information, adopts an object recognition model to analyze fish body contour feature vectors in real time, and obtains detection quantity and species results by fusing total weight data; then, a fusion model is used to process multi-modal fusion of contour size and total weight data to determine single fish weight distribution, and if the deviation exceeds a threshold value, the feature weight is iteratively adjusted to obtain an accurate single fish weight value; subsequently, data transmission generates a visual interface, a fish returning instruction sequence is triggered according to user selection, a local processing unit executes an opening operation and records the number, weight and timestamp of the fish returned, and an encrypted log file is formed; finally, log analysis judges environmental compliance parameters and updates behavior records. The application realizes accurate and automatic management of fish catching, improves the efficiency of fishing activities and environmental sustainability, and ensures the integrity of compliance behavior feedback.

This invention discloses a preventative voltage control method for grid-connected energy storage based on voltage sensitivity, comprising the following steps: updating the voltage sensitivity matrix online based on real-time operating data of the distribution network and predicting future photovoltaic output curves; determining whether there is a voltage limit exceeding situation at future nodes based on the voltage sensitivity matrix; if there is a voltage limit exceeding situation at future nodes, calculating the active power required by the grid-connected inverter based on the voltage sensitivity matrix and photovoltaic output, and generating a charging curve; adaptively adjusting the charging curve based on the real-time state of charge of the energy storage, and charging the grid-connected inverter before the voltage limit exceeds the limit. The beneficial effects of this invention are: changing the voltage support mode of the energy storage module in the grid-connected energy storage system from passive response to active prevention; when the system's reactive power capacity is insufficient, pre-charging the energy storage allows for sufficient safety margin for the system voltage during critical future periods and maximizes the absorption of photovoltaic power, reducing curtailment.

The invention discloses a geological disaster dynamic early warning method driven by multi-source data and an intelligent model, and belongs to the technical field of geological disaster early warning. The method comprises the following steps: acquiring multi-source heterogeneous geological monitoring data; performing space-time alignment and semantic standardization processing, and constructing a standardized data set; constructing a multi-modal deep fusion neural network model, extracting features through a parallel feature extraction sub-network, and carrying out feature fusion by adopting a cross-modal attention mechanism based on a historical accuracy rate dynamic adjustment weight; disaster risk prediction is carried out based on fusion features, and online model updating is realized through a sliding time window mechanism; and generating an early warning report according to the risk level. According to the invention, an early warning effect feedback closed loop mechanism is also established, and model iterative optimization is realized through postmortem verification of returned data. According to the method, a complete closed loop from data perception to model self-optimization is constructed, and the problems of poor semantic consistency, static feature fusion and insufficient early warning real-time performance of multi-source data are solved.

A computer-implemented method for generating finite element meshes for a component, used for numerically solving partial differential equations to describe the technophysical environment experienced by the component during its intended operation. The invention also relates to a method for improving component design and generating the component. Furthermore, the invention relates to a system for performing this method. Additionally, the invention relates to a computer-readable medium encoded with executable instructions that, when executed, cause a computer system to perform the method according to the invention.

The utility model discloses a strip assembly module based on zero point positioning, include: bottom plate, assembly component and positioning component, assembly component includes frame body, positioning component includes first zero point positioner and second zero point positioner, the base of first zero point positioner and the base of second zero point positioner are located on the same end surface of bottom plate, and the positioning end of first zero point positioner and the positioning end of second zero point positioner are all with the same end surface of frame body detachable connection connection. The utility model solves the technical problem of the positioning precision of traditional strip assembly module deficiency, reaches the technical effect of improving the positioning precision of strip assembly module.

The application discloses a financial risk intelligent risk control middle platform system and method based on multi-dimensional data integration, and belongs to the field of financial risk intelligent risk control. The financial risk intelligent risk control middle platform system based on multi-dimensional data integration comprises a data processing module, a model construction module, a decision construction module and a scheme formulation module. The application solves the problems of poor system integration, high maintenance cost, low availability, insufficient expansibility, low information transparency and great management difficulty in the prior art, greatly shortens the strategy iteration cycle, meets the demand of high-concurrency business scenarios, improves the accuracy of fraud identification and credit evaluation, reduces the misjudgment rate, can adapt to market changes, reduces repeated development through unified variable management, improves the data asset reuse rate, improves business autonomy, flexibly outputs the risk control capability to support personalized product design, and realizes the best balance between risk and benefit through the deep cooperation of risk control and business.

This invention discloses a method and system for alleviating livestock and poultry stress based on olfactory-tactile synergy, belonging to the field of smart farming technology. The method includes: collecting livestock and poultry behavior, sound, physiological, and thermal imaging data through multimodal sensors to extract multidimensional feature vectors; calculating a comprehensive stress score and determining the stress level using a multivariate state estimation model; generating an olfactory-tactile synergistic intervention strategy based on a large language model combined with current state and historical data; evaluating the effect in real time after intervention using a temporal deep learning model, and dynamically adjusting the strategy based on feedback until stress is alleviated. This invention solves the problems of existing stress intervention methods being singular and having limited effectiveness, achieving multimodal stress identification, intelligent collaborative decision-making, and closed-loop adaptive intervention, significantly improving the accuracy, timeliness, and animal welfare level of stress relief.

The invention discloses an underground pipe salt elimination and rainwater collection recycling method and system for a coastal garden, and the method comprises the steps: determining underground pipe layout parameters through an underground pipe layout efficiency evaluation model, integrating multi-dimensional monitoring data through a multi-source moisture salt data fusion algorithm, formulating a rainwater collection regulation and control strategy through a rainwater storage regulation and control adaptation model, and carrying out the rainwater collection and control through a rainwater storage regulation and control adaptation model. The salt discharge, water discharge and irrigation parameters are dynamically adjusted by means of a garden water-salt collaborative management and control platform, the salt discharge frequency and the rainwater utilization intensity are optimized in combination with a water-salt state evaluation result, and closed-loop regulation and control are formed through data feedback. Wherein the key steps are further refined into a plurality of sub-steps, and coherent operation of data acquisition, parameter calculation, accurate regulation and control and effect optimization is realized. According to the method, the regulation and control accuracy and the resource utilization efficiency are improved, the method adapts to the complex water-salt environment of the coastal garden, and efficient and stable technical support is provided for ecological construction.

The utility model discloses an intelligent well lid relates to well lid technical field. It includes well lid body, and well lid body lower extreme is connected with intelligent well lid controller and the lithium cell of power supply for it through connecting piece, is equipped with photovoltaic charging assembly still on connecting piece, photovoltaic charging assembly includes the photovoltaic panel connected through connecting piece, and photovoltaic panel is used to charge lithium cell, still has a plurality of light guide fibers connected on connecting piece, and the light source injection end of light guide fiber corresponds to the well lid body upper end of through -penetration, and the light source emission end of light guide fiber corresponds to the light receiving surface of photovoltaic panel of reach to. The utility model has the beneficial effect that: it can solve the photovoltaic charging problem of well lid because of the structure shielding.

The application discloses a kind of FeCoNi nanoparticle loaded yeast-derived carbon composite wave-absorbing materials and preparation method thereof.The method uses yeast as biomass carbon source, and yeast-derived carbon is obtained by hydrothermal carbonization;Then, the three-metal precursor salt (Fe2+, Co2+, Ni2+) is dissolved in the solvent according to a certain mass ratio with yeast-derived carbon, and FeCoNi nanoparticles are in-situ loaded on the surface of yeast-derived carbon by hydrothermal impregnation method, and the composite wave-absorbing material is obtained after drying and inert atmosphere heat treatment.The FeCoNi nanoparticles in the obtained material are uniformly dispersed on the surface of carbon material, and the synergistic effect of dielectric loss and magnetic loss is utilized to achieve excellent electromagnetic wave absorption performance.The method is simple, low in cost, and requires small equipment, and the prepared material is environmentally friendly, sustainable, and has strong controllability, etc., and is suitable for radar stealth field.

The invention discloses a flywheel lithium battery hybrid energy storage capacity configuration method and system, and particularly relates to the field of flywheel lithium batteries, and the method comprises the steps: S1, collecting multi-dimensional operation parameters through multi-sensor fusion, and carrying out the data preprocessing through a Kalman filtering algorithm; s3, constructing a reinforcement learning collaborative model, obtaining equipment attenuation efficiency, and optimizing and outputting an optimal power distribution proportion of the flywheel and the lithium battery through model training; s5, constructing an attention mechanism model to predict future comprehensive power fluctuation, and optimizing prediction precision; s7, acquiring real-time actual capacity, setting dual trigger conditions, updating the reinforcement learning model and dynamically adjusting the capacity; through a multi-sensor fusion acquisition technology, a wavelet packet decomposition fluctuation extraction technology and an attention mechanism enhanced LSTM prediction technology, accurate perception and prediction of new energy fluctuation and load demands are realized, and the problem of low configuration accuracy caused by dependence on an empirical formula and a static model in the prior art is solved.

The invention relates to a WEEE recycling supply chain inventory optimization method based on evolutionary reinforcement learning, and belongs to the technical field of supply chain management and artificial intelligence. According to the method, a multi-level inventory cooperative control model is constructed, an inventory optimization problem is modeled as a Markov decision process, and an evolution reinforcement learning algorithm is utilized to train an intelligent agent to learn an optimal strategy. Core innovations include design state space capture inventory dynamics, action space processing continuation to discrete decision mapping, and cost-based minimization of reward functions. According to the algorithm, a population evolution mechanism and experience playback optimization are fused, and the learning efficiency and stability are improved through parallel exploration and sample screening. According to the method, the uncertainty of the recovery amount and demand can be effectively dealt with, the inventory cost is reduced, the supply chain robustness and sustainability are enhanced, and a self-adaptive intelligent solution is provided for WEEE management.

The utility model relates to the field of jack fruit breeding devices, and discloses a jack fruit seedling breeding device which comprises a base, the top side of the base is fixedly connected with a plurality of connecting rods, the top sides of the connecting rods are fixedly connected with a seedling raising platform, and the top side of the seedling raising platform is provided with an irrigation groove. A plurality of seedling raising holes are formed in the bottom side of the irrigation groove, seedling raising assemblies are arranged in the seedling raising holes, and a motor is installed in the base. According to the seedling raising device, the seedling raising clamping plates are closed by rotating the rotating shaft, seedlings and soil can be rapidly fixed, the clamping plates are prevented from being opened by hole position limitation after the seedlings are put into the seedling raising holes, and the clamping process in the initial seedling raising stage is simplified. During transplanting, the motor drives the screw rod to drive the lifting platform and the abutting column to eject the seedling culture clamping plate, manual digging is not needed, damage to root systems is avoided, transplanting efficiency is remarkably improved, the method is particularly suitable for large-scale seedling culture scenes, and labor cost and operation loss are reduced.