134results about How to "Strong universality" patented technology

The invention discloses a reversible metal 4D printing method based on hydrogel reversible deformation and a metal part, and belongs to the field of metal additive manufacturing. The method comprises the following steps: firstly, constructing a three-dimensional model comprising a hydrogel driving layer and a metal blank layer; respectively preparing hydrogel light-cured ink and metal or precursor slurry thereof; printing the two layers of materials sequentially or alternately by adopting a photocuring printer to obtain a composite green body; the hydrogel layer is dehydrated and shrunk through drying, the component is driven to generate preset shape deformation, the hydrogel layer absorbs water and expands through soaking, and reversible recovery of the shape of the component is achieved; and degreasing, selective reduction and sintering heat treatment are conducted on the component, and the compact final metal component is obtained. According to the invention, the independent hydrogel layer is used as a deformation driver, the dependence on the intrinsic phase change characteristic of a metal material is avoided, the material universality is extremely high, the method can be widely applied to 4D printing of various materials including refractory metal and high-reflection metal, and reversible control of shape change is realized.

The invention provides a suspension bridge cable clamp digital twin system based on wireless intelligent washers, and belongs to the crossing field of bridge engineering and intelligent monitoring technologies. According to the system, a wireless intelligent gasket is used as a core sensing unit, finite element analysis, a neural network agent model and a three-dimensional visualization technology are combined, and real-time mapping of a cable clamp physical entity and a virtual model is constructed; the system obtains data such as wireless intelligent gasket pressure, cable clamp-main cable friction force, cable clamp displacement and cable clamp structure node stress and strain through finite element analysis under different working conditions, and a parameter mapping proxy model is formed by training a mapping relation between the gasket pressure and other parameters through a neural network. And relevant models and data are developed and integrated by means of an Unreal Engine engine, and visualized real-time rendering is carried out, so that bolt fastening control in a construction stage and / or structural health monitoring in an operation and maintenance stage are / is realized. According to the system, digital management and control of the full life cycle of the cable clamp can be realized, and the monitoring precision and the engineering economy are remarkably improved.

This invention relates to an edge data caching method, belonging to the field of the Internet of Things (IoT). The method includes: data collection; user search record storage, including edge server storage of user historical query content and search feedback data; edge inference, including a hotspot entity identification method, sequentially constructing an individual interest prediction model and a group interest prediction model, and identifying hotspot entities based on the degree of interest of group users; edge caching, including prioritizing the caching of hotspot entity information through a designed edge caching strategy; content replacement: completing the cache replacement of entity information through a designed content replacement strategy; user search: the edge server responds to user search requests directly or through communication with sensing devices. This invention can effectively improve system caching performance and enhance the user search experience.

This invention discloses an infrared temperature measurement correction method, apparatus, and system for three-dimensional curved surfaces. The infrared temperature measurement correction method includes: dividing the blade surface into at least two emissivity measurement regions according to the surface type of the blade being measured; acquiring the emissivity distribution of each emissivity measurement region on the blade surface at different temperatures; obtaining bidirectional reflection distribution functions for different surface types based on the projected energy of the infrared light source at different incident angles and the reflected energy received by the infrared camera at different detection angles; and obtaining the corrected measurement temperature based on the acquired emissivity distribution of each emissivity measurement region on the blade surface at different temperatures and the bidirectional reflection distribution functions for different surface types. This invention has a wide range of applications and high correction accuracy, and can be used to correct infrared temperature measurements of curved surfaces such as aero-engine turbine blades in complex environments, enabling non-contact, multi-dimensional, and online measurement of curved surfaces.

The application provides a sewage plant safe capacity scheduling method and device for virtual power plant peak shaving, and the method comprises the following steps: load-process dynamic coupling modeling; when receiving a peak shaving task, calculating the maximum power adjustment amount that can be safely executed within a response time window T_win under the current working condition for each load object; in day-ahead scheduling, advancing the power adjustment start time of the load object to before the response time window T_win, and planning the maximum technical adjustment power to plan the reportable capacity; in the day-ahead scheduling, aggregating all load objects with P_dis>0 to form a safe schedulable resource pool, performing load object combination optimization, and generating scheduling instructions. The application has the beneficial effects that under the given peak shaving task of the power grid, the safe capacity DeltaP_max of each load object in the sewage plant under the current working condition is calculated and determined in real time, and safe scheduling is realized based on the safe capacity DeltaP_max, thereby solving the problems of untrustworthy scheduling instructions and process safety risks.

This invention provides a method and system for designing complex fracture networks in three-dimensional fracturing of shale oil systems. The method includes: first, identifying the original three-dimensional seepage paths of reservoir samples, including natural fractures and pores, using core observation and microscopic identification. Then, using CT and NMR techniques, the number and morphology of fractures are quantitatively characterized and delineated, forming digital characterization units of the pore-fracture network structure. Next, appropriate fracturing processes are selected based on different original fracture matching relationships, including controlled near-to-far expansion, broadband expansion, and pressurized expansion processes. A CO2-based pre-fracturing acid initiation process is added. Finally, based on optimized and reasonable three-dimensional fracturing parameters for the well group, a refined three-dimensional geological model, a geostress model, and a numerical simulation model of the actual well group are established. This three-dimensional fracturing network design method has advantages such as high accuracy, comprehensive parameters, convenience, and ease of operation.

This invention pertains to surface-enhanced Raman scattering (SERS) detection technology, specifically disclosing a signal-squeezing SERS detection method for achieving quantitative analysis over an ultra-wide concentration range. It utilizes two-dimensional transition metal phosphorus-sulfur compounds with structural differences as the SERS substrate, modifying them through mechanical strain and chemical modification to enhance their sensitivity to specific and continuous concentration ranges. For each substrate, three parameters—characteristic peak intensity, signal-to-noise ratio (SNR), and detection probability—are extracted to construct a three-parameter calibration radar map for the corresponding concentration range. During detection, the three-parameter vector of the analyte at an unknown concentration is projected onto the three-parameter calibration radar map. Using the signal "squeezing" principle, the concentration level is determined by the triangular region formed by the analyte and the known concentration vector. This invention overcomes the bottleneck of narrow concentration range detection with a single SERS substrate, achieving a detection range of 10... ‑6 -10 ‑22 M offers precise quantitative detection over an ultra-wide concentration range, is easy to operate, and provides reliable results, making it a promising candidate for applications in fields such as biosensing, medical diagnostics, and environmental analysis.

The application discloses application of a divinyl tetrazine in cyclization of a linear polypeptide, and a structure formula of the divinyl tetrazine is; the linear polypeptide has at least two free mercapto groups, and the vinyl groups of the divinyl tetrazine are subjected to Michael addition reaction with corresponding mercapto groups to form a ring. The application provides a new use of the divinyl tetrazine, the divinyl tetrazine can be subjected to high-efficiency Michael addition reaction with two natural cysteine mercapto groups on the linear polypeptide through the vinyl groups, so that double-mercapto peg cyclization of the linear polypeptide is realized, and the purpose of limiting the conformation of the linear polypeptide and improving the stability of the linear polypeptide is achieved. Moreover, the divinyl tetrazine can be subjected to a reverse electron demand Diels-Alder reaction with trans-cyclooctene (TCO) after the two vinyl groups are subjected to reaction with mercapto groups, so that functional polypeptides can be modularly constructed by coupling with functional molecules modified with TCO, and related applications are realized.

The invention relates to a silicon-based negative electrode material based on metal oxide coating and preparation and application thereof, and a preparation method of the material comprises the following steps: S1, putting a silicon-based material into a solvent for ultrasonic dispersion to obtain a uniform suspension; s2, adding a metal oxide precursor into the suspension obtained in S1, and carrying out hydrolysis or condensation reaction to generate a continuous metal oxide coating layer on the surface of the silicon-based material in situ; and S3, after the reaction is finished, centrifugally separating, washing and drying the obtained product to obtain the silicon-based negative electrode material, namely a target product. Compared with the prior art, the method provided by the invention is simple in process, low in cost and good in repeatability, and the obtained coated silicon material has excellent structural stability and electrochemical performance and has a wide application prospect in high-energy-density lithium ion batteries and all-solid-state batteries.

This invention belongs to the field of copper alloy material design and preparation technology, and discloses a new process for efficiently designing high-performance copper-iron alloys. Based on the 5% Fe content vertical cross-sectional characteristics of the Cu-Fe-Si ternary phase diagram, the Si content is designed in stages (0-4%) to achieve targeted performance optimization. Combined with a three-stage heat treatment process of "homogenization-basic aging-gradient aging", a closed-loop system of "phase diagram design-preparation-detection-optimization" is constructed. Through precise composition control by EPMA and real-time feedback of mechanical properties, the problems of blind composition design and insufficient precipitation of strengthening phases in traditional processes are solved. The resulting alloy has excellent tensile strength, yield strength, and total elongation at break, with synergistic improvement in mechanical and magnetic properties, and a design efficiency improvement of more than 40%, making it suitable for electronic, mechanical and other fields.

The application discloses a beat control method and device, a linear motor equipment and an industrial automation system, and belongs to the technical field of automation control. The method comprises the following steps: after starting a program corresponding to a beat control graph element, attribute parameters of the beat control graph element are acquired; the attribute parameters are set through an interactive interface, and the attribute parameters are determined according to operation equipment beat information and operation equipment distribution information; arrival position information and cooperation time interval information corresponding to at least one working procedure are determined according to the attribute parameters, so that a mover component is controlled to move to a position indicated by the arrival position information within a time interval indicated by the cooperation time interval information. Compared with the prior art, the beat control strategy is adjusted by modifying codes, and the method has the advantages of being more intuitive and convenient to operate, high in debugging efficiency and strong in universality.

The present application relates to the field of biotechnology, and more particularly to a mylopharyngodon piceus gender-specific molecular marker, primer and application thereof, wherein the primer designed for the molecular marker is used for PCR amplification, and the genetic sex of the mylopharyngodon piceus can be accurately and rapidly identified. The molecular marker presents stable difference between male and female individuals, and the identification accuracy is 100%. In addition, the molecular marker can be stably applied to mylopharyngodon piceus of different specifications and different breeding strains, and shows good universality and reliability. The present application provides important technical support for the unisexual breeding, germplasm resource management and population structure monitoring of mylopharyngodon piceus, and has wide application prospect.

The invention discloses a green low-carbon production method of an HG785 steel plate by replacing hardening and tempering with direct quenching and tempering, the thickness of the steel plate is 30-50mm, and the production method comprises the following steps: smelting and continuously casting various components according to a reasonable proportion; heating and rolling; directly quenching; two-phase region coupling tempering; and after discharging, performing air cooling or water mist cooling to room temperature to obtain a finished steel plate. The production method provided by the invention is high in universality, low in modification requirement on an existing medium-thickness plate production line (with accelerated cooling and tempering capabilities), easy to realize industrial large-scale production and remarkable in economic benefit and social benefit; through the collaborative design of'component fine adjustment and gradient quenching + two-phase region coupling tempering ', the mechanical property of the steel plate comprehensively reaches the standard (the yield strength is larger than or equal to 785 MPa, and the impact energy stability at the temperature of-40 DEG C is larger than or equal to 80 J) while greenness and low carbon are achieved, it is proved that'green production and product performance improvement can be synchronously achieved', and the practicability and popularization value of the green low-carbon technology are further enhanced.

The application relates to a personalized privacy risk dynamic measurement method based on a deep neural network, and specifically comprises the following steps: S1, collecting personalized privacy demands of a user, and establishing a personalized user privacy demand vector; S2, according to the personalized user privacy demand vector, extracting a feature matrix in a user picture by using a convolutional neural network, calculating a privacy feature vector from the feature matrix by using the convolutional neural network, multiplying the privacy feature vector with the personalized user privacy demand vector, obtaining a personalized privacy feature vector of the user in the picture, and identifying sensitive privacy information in the picture; and S3, predicting a leakage risk of the personalized privacy feature vector. The application is designed based on a deep neural network, solves the problem of privacy risk assessment from the perspective of user shared privacy image historical behavior characteristics, measures the risk size of user privacy information leakage, reduces the user privacy information leakage risk from the source, and enhances the user privacy consciousness.

The application discloses a kind of visual self-compacting grouting design method and system mould of fabricated structure, belong to the technical field of fabricated structure construction.For the defects such as traditional grouting of fabricated structure invisible, monitoring difficult, easy to cavity segregation and grout waste, the application develops a kind of whole process visible, passive self-compacting grouting method and system mould.The mould is composed of transparent template main body and self-adjusting closing mechanism, and the transparent template includes fixed template and automatic grouting plate, which are connected by tooth groove to form a sealed grouting cavity.The closing mechanism is linked by spring pressure plate, spring group, steel wire and positioning pulley group, and is automatically and accurately closed by the driving of grout pressure and self-weight based on grout pressure and self-weight.The application establishes the quantitative relationship among spring compression amount, grouting pressure and closing angle based on dynamic response analysis, and proposes a new grouting control method, and the mould is designed in a modular way, which can improve construction quality, ensure structure safety and reduce construction cost.

This application discloses a motor testing system, including a motor mounting module, a load simulation module, a transmission coupling module, a data acquisition module, and a central control module. The motor mounting module includes: a clamping mechanism; a clamping device for driving a clamping assembly to clamp the motor under test; a three-axis adjusting slide, on which the clamping mechanism is supported for moving the clamping mechanism in three axes; a load simulation module for simulating a load and coupled to the output shaft of the motor under test via the transmission coupling module; a central control module connected to a human-machine interface terminal for receiving configured test parameters; and a data acquisition module for acquiring the torque and / or output current of the motor under test. This invention can support simultaneous testing of multiple motors, resulting in higher testing efficiency. The position of the motor under test can be adjusted, allowing different models of motors to be coupled to the load simulation module via the transmission coupling module, thus enhancing its versatility.

The invention discloses a quantitative analysis method and system for overheat fault gas of an on-load tap-changer contact. The method comprises the following steps: constructing a multi-physical field coupling mathematical model of an on-load tap-changer, and defining contact resistance of a contact surface; solving the multi-physics field coupling model to obtain time domain and space domain temperature distribution of the surface of the on-load tap-changer contact, and determining the highest temperature and the volume of an overheat region; calculating the local gas production rate of each fault characteristic gas; carrying out integral calculation on local gas production rates of all fault characteristic gases in the hot area volume to obtain theoretical equilibrium concentration of each fault characteristic gas in oil, and constructing a mapping relation between an overheating parameter formed by the contact resistance and the highest temperature of the contact surface and the theoretical equilibrium concentration; the method aims at solving the problems that a traditional analysis method for the gas dissolved in the oil depends on experience criteria and is high in hysteresis quality, breaks through the bottleneck that the whole process of electricity-heat-fluidization cannot be simulated from the mechanism level, and achieves the crossing from qualitative diagnosis to quantitative prediction.

The application discloses a dielectric breakdown field strength and temperature dependence simulation method and system, and the simulation method comprises the following steps: establishing a criterion for polymer damage caused by molecular chain slip under the action of heat based on a free volume theory; establishing a breakdown criterion for polymer damage caused by molecular chain slip under the joint action of an electric field and a thermal field; quantifying the serpentine movement of a molecular chain under the action of a strong force; establishing an approximate analytical expression of polymer breakdown strength; and fitting the experimental results of sample breakdown field strength change with temperature according to the analytical expression by using a Curve fitting tool of Matlab. The breakdown model established from the perspective of molecular chain displacement can well explain the change relationship between the polymer nanocomposite dielectric breakdown field strength and temperature, and provides theoretical guidance for the preparation of high-temperature dielectric materials.

The application provides a method for preparing carboxylic acid by hydrolysis of nitrile, wherein the nitrile and protonic acid are subjected to hydrolysis reaction in a microwave reactor in the presence of solid inorganic medium to obtain the carboxylic acid; wherein the frequency of the microwave reactor is 0.9-3.0 GHz; the nitrile is aliphatic nitrile, aromatic nitrile or a mixture thereof; the relative dielectric constant ε of the solid inorganic medium is 30-500. r The application realizes microwave-high dielectric medium coupling reinforcement through the cooperation of the solid inorganic medium with specific relative dielectric constant and specific microwave reaction condition, can realize the efficient obtaining of high-purity carboxylic acid product, and produces ammonium salt as by-product. The overall method has high yield, strong raw material universality, is easy to be industrialized and amplified, and has remarkable economic effect.

A distributed ground simulation method for aerodynamically assisted Mars orbit descent belongs to the field of spacecraft system simulation. It employs a database to store aerodynamic data under high, medium, and low lift-to-drag ratio scenarios, covering the entire Martian flight path, thus having a wide applicability to various spacecraft types and strong universality. The method uses the principle of similarity equivalence to equivalence the spacecraft model, improving the realism of the ground simulation. By establishing a random disturbance model and adding random disturbance signals to the control system, it simulates disturbances in the real environment, more closely approximating the actual spacecraft environment and improving adaptability to complex dynamic environments. This invention is applicable to the field of spacecraft system simulation. By establishing a dynamic model, applying the principle of similarity equivalence, and designing a distributed data transmission framework, it realizes distributed ground simulation of aerodynamically assisted Mars orbit descent, improving the simulation's universality and anti-interference capability, and enhancing the safety of Mars orbit descent.

The invention discloses a method for optimizing parameters for a steel pipe expanding process by using a thermal simulation experiment technology. The method comprises the following steps: S1, sample preparation: cutting out a plurality of cylindrical thermal simulation samples from a target steel pipe; s2, designing a scheme, namely setting a plurality of groups of process parameter combinations including a heating temperature T, a heat preservation time t, a deformation rate epsilon 1 and a deformation epsilon 2; s3, performing thermal compression experiments: performing multiple groups of thermal compression experiments on the sample on a thermal simulation experiment machine according to the parameter combination; s4, structure analysis: analyzing the metallographic structure of the test sample after the experiment, and determining process parameters corresponding to the test sample which is completely recrystallized and has refined grains; and S5, window determination: based on an analysis result of S4, determining an optimal process parameter window for enabling the steel pipe to be subjected to complete recrystallization and grain refinement. The invention further discloses a diameter expanding method. The purpose of the invention is to realize accurate control of the expanding process by combining a thermal simulation experiment with industrial production.

The application discloses a kind of polymer solid electrolyte and its preparation method and application, the preparation method of polymer solid electrolyte includes precursor solution in 1~20T strong magnetic field in situ polymerization obtains the polymer solid electrolyte, the precursor solution includes polymer matrix, electrolyte salt and solvent, and does not contain magnetic material;The direction of the magnetic field is perpendicular to precursor solution surface.The application utilizes strong magnetic field to reduce polymer crystallinity, induces polymer molecular chain ordered arrangement, simultaneously locks this structure by in-situ polymerization.The technology constructs high-efficiency ion transmission network in polymer under the premise of not introducing magnetic filler, significantly improves ion conductivity (room temperature ion conductivity>1 mS / cm), assembles into all-solid-state battery, obtains good ion transference number, oxidation voltage window, first discharge capacity and first coulomb efficiency.

The invention discloses a total variation regularization depth expansion network method for hyperspectral image unmixing. The method comprises the following steps: inputting hyperspectral image data and an end member spectrum library; constructing a hyperspectral data unmixing model fusing a sparse constraint term and a total variation regularization term and an optimization objective function of the hyperspectral data unmixing model; converting the optimization objective function into an equivalent augmented Lagrangian form, and performing iterative solution on each variable; expanding an iteration process into a deep learnable network structure with a plurality of layers, and parameterizing hyper-parameters and a plurality of approximate operators in iteration into learnable network parameters; constructing a comprehensive loss function, and continuously optimizing network parameters by using back propagation and gradient descent methods; according to the method, total variation regularization prior is fused into a sparse unmixing model, the sparse unmixing model is expanded into a learnable end-to-end neural network through iterative solution, and the method has excellent unmixing precision and robustness for noise-containing data.

The invention belongs to the technical field of solid-state batteries, and discloses an alloy ion / electron mixed conductor and application thereof. The mixed conductor is prepared by taking antimony powder, lithium powder or sodium powder and at least one metal powder of lanthanum, scandium, yttrium, aluminum, gallium and indium as raw materials through ball-milling mixing, tube sealing annealing and quenching treatment. When the mixed conductor is used as an interlayer of a lithium / sodium metal negative electrode and an electrolyte in the solid-state battery, the growth of lithium / sodium dendrites can be effectively inhibited through a specific nucleation mechanism, and the utilization rate of the metal negative electrode is improved; when the conductive additive is used as a conductive additive of a silicon, red phosphorus or graphite / hard carbon negative electrode material, by virtue of high ion / electron conductivity and good potential stability, the interface side reaction is reduced, and the rate capability and the cycling stability of the negative electrode material are remarkably improved.

This invention relates to a method for calculating the fracture toughness and fatigue crack propagation rate of a single-sided notched tensile specimen considering a deflection crack, comprising: S1, establishing a two-dimensional plane stress model of the single-sided notched tensile specimen containing a deflection crack; S2, meshing the two-dimensional plane stress model; S3, calculating the stress intensity factor under different initial crack lengths, crack deflection angles, and crack propagation lengths. K I , K II Softness C and normalized stress intensity factor f 11 , f 22 Normalized Softness u S4. Expressions are established through curve fitting to relate the normalized fracture parameters to the ratio of projected crack length to specimen width and the crack deflection angle. This invention provides formulas for calculating the compliance and stress intensity factors of single-sided notched tensile specimens with deflection cracks under different initial crack lengths, deflection crack angles, and crack propagation lengths. This enables accurate calculation of fracture toughness and fatigue crack propagation rate, providing technical support for high-precision design based on damage tolerance.

This invention relates to the field of organic compound preparation technology, specifically a method for preparing 11-triglycerides of carbonate via low-temperature acylation. This method uses glycerol and undecanoyl chloride as raw materials, employing a synergistic system of a "composite acid-binding agent + Lewis acid catalyst," and combines in-situ dehydration technology and a stepwise heating strategy in a dual-solvent environment to achieve efficient synthesis. The specific steps include: under nitrogen protection, dissolving glycerol in a dichloromethane-toluene dual solvent, adding a composite acid-binding agent of pyridine and N,N-diisopropylethylamine, anhydrous zinc chloride catalyst, and 4A molecular sieve for in-situ dehydration; dropwise adding undecanoyl chloride at a low temperature of 5-10°C, followed by sequential heating to 30°C for 2-3 hours and then reacting at 50°C for 12-16 hours; and post-processing using a combined process of filtration-multi-stage extraction-membrane separation-column chromatography. This invention provides mild reaction conditions, effectively suppresses side reactions, produces high-purity products, increases molar yield, and reduces solvent toxicity and purification costs.

The application belongs to the technical field of battery materials, and particularly relates to a Prussian blue-like nano positive electrode material, a preparation method thereof and a sodium ion battery. x M y [Fe(CN)6] z , wherein M is a transition metal element, and 0

The invention belongs to the technical field of power grid disaster prevention and reduction, and particularly relates to a risk assessment method and device for deicing jump of a power transmission line, electronic equipment and a computer readable storage medium. The method comprises the following steps: determining risk influence factors influencing the deicing jump of the power transmission line, and constructing an original parameter data set containing a plurality of deicing working conditions; establishing a conductor deicing model under a plurality of deicing working conditions and carrying out analogue simulation to obtain a risk consequence index; constructing a standardized decision matrix, respectively calculating the comparison intensity and conflict of each risk influence factor, and calculating the comprehensive information amount and objective weight of each risk influence factor to obtain an objective weight vector; and identifying the key dominant factors based on the objective weight vector and carrying out working condition optimization in combination with the risk consequence indexes under each deicing working condition to obtain the optimal deicing working condition with the lowest comprehensive risk. According to the method, the CRITIC method is applied to power transmission line deicing jump risk assessment, and the deicing working condition with small risk can be selected.

The application discloses a modified PAFC as well as a preparation method and application thereof, and belongs to the technical field of water treatment. The preparation method of the modified PAFC provided by the application comprises the following steps: S1, a pre-hydrolysis liquid is added dropwise into a liquid PAFC, and then stirring is continued; the pre-hydrolysis liquid has a pH of 4.5-5.5 and is a mixture of a silane coupling agent and an ethanol aqueous solution; and S2, the mixture obtained in step S1 is matured. The preparation method provided by the application can effectively improve the acid resistance of the obtained modified PAFC, simultaneously realizes efficient removal of pollutants and resource recovery, and simultaneously avoids industry pain points such as salt production in neutralization, secondary pollution and the like. The application further provides the modified PAFC prepared by the above preparation method and application thereof.