76results about How to "Scalable" patented technology

The invention relates to a non-noble metal nano-porous high-entropy alloy catalyst as well as a preparation method and application thereof. The preparation method comprises the following steps that aluminum metal powder and transition metal powder are mixed according to the mass ratio of 1: (0.8-1.5) and smelted at the high temperature, and a smelted metal block is obtained; the obtained smelted metal blocks are smashed, and smelted metal powder is obtained; under the protection atmosphere of inert gas, the obtained smelted metal powder is subjected to ball milling, and ball-milled metal powder is obtained; and the obtained ball-milled metal powder is added into a first solvent, heating and stirring are conducted for a first reaction, and the non-noble metal nano-porous high-entropy alloy catalyst is obtained after separation. The high-entropy alloy is prepared in a high-temperature melting and high-energy ball milling mode, alloying between metals is achieved, the preparation method has the advantages that the preparation method is simple, components are easy to regulate and control, and the atom utilization rate is high, and the obtained high-entropy alloy has extremely high lignin catalytic conversion activity.

This invention provides an aluminum foil anode material for lithium-ion batteries and its preparation method. The method applies metallic aluminum to a monolithic material system. Based on a chemical displacement reaction, a rolling-heat treatment method is used to dope the target metal element into the aluminum foil composite material, achieving alloy composition design of the aluminum foil. Furthermore, carbon elements can be incorporated into the interlayer of the aluminum foil to improve the lithium storage performance of the aluminum foil anode. The preparation method of this invention is simple and feasible, with a simple process flow and low cost. It can modify a large quantity of aluminum foil in a short time, and the reaction raw materials can react completely, with useless reaction products volatilizing spontaneously. In addition, the modified aluminum foil material can be directly used as a lithium-ion battery anode material, effectively improving the lithium storage performance of the aluminum foil anode material.

The invention discloses a depth local refinement method based on interest points. Belongs to the field of computer vision and depth estimation. The invention provides a solution for depth estimation fusion based on a region of interest for solving the problem of small target missing in the depth estimation field in the prior art. The method comprises the following steps of: cutting a picture according to coordinates of a region of interest output by a target detection network, and respectively carrying out depth estimation on a global picture and a local picture cut by the region of interest by utilizing a depth estimation network; through the innovatively designed partial deep fusion module, the consistency of the two modules after fusion is ensured by using an energy function. By means of the method, the interested area in the actual scene is further refined successfully, and more accurate and clearer depth estimation is obtained; in addition, by means of the method, the full model of the scene can be changed into a light network under the condition that the estimation fineness is not changed, so that the whole network is light, and the depth estimation result is not affected.

The application belongs to the field of smart fibers and flexible electronics, and relates to an integrated circuit fiber and a preparation method thereof. The fiber contains electronic components integrated in a single fiber, and the electronic components are composed of multiple functional layers serving as components of the fiber and extending along the axial direction of the fiber. The integrated circuit fiber includes two types of integration schemes: one is a two-dimensional grid structure of multiple electronic components arranged radially side by side, and the electronic components can be electrically interconnected or isolated; the other is a radial stacking structure of a single electronic component, which can be adapted to five types of functional units, including electroluminescence, resistance-capacitance processing, capacitance sensing, transistors and organic electrochemical diodes. The preparation method comprises the following steps: a multi-channel microfluidic chip is used, multiple spinning solutions are injected into different channels, the spinning solutions in some channels are periodically turned on and off, the flow rates of the channels are independently controlled, the solutions are combined to form a multi-layer laminar flow structure, and the product is obtained through solidification in a coagulation bath, cleaning and drying. The application realizes high-density and high-stability functional integration in a single fiber.

The application discloses a kind of battery core temperature online estimation and prediction method, system, equipment and storage medium based on mixed TSDM-AMBO-GRU, applied to lithium ion battery core temperature estimation and prediction field, comprising: obtaining battery operating data, and utilizing TSDM to create synthesis of battery operating data, as training set with battery operating data together;Training set is input to BO-GRU-AM framework, and the battery core temperature prediction model based on BO-GRU-AM is obtained by training;Input test set to battery core temperature prediction model, and obtain battery core temperature prediction result.The application not only can effectively overcome the problem caused by uneven distribution of temperature sensors and limited data in lithium ion battery system, and can realize real-time, efficient and accurate battery core temperature prediction under various temperatures and complex conditions, provide reliable fault warning and real-time monitoring support for BMS in practical application.

The application relates to the technical field of data monitoring and discloses an FDIA detection method, system, terminal and storage medium based on federal clustering average, the method comprising the following steps: constructing all standardized samples of a client and clustering; constructing a weighted average gradient of the client according to local model parameters and clustering clusters to iteratively optimize the local model; inputting the local model optimization parameters into a central server to globally average to obtain global parameters, inputting the global parameters into the client to optimize the local model; and using the optimized local model to identify false data to obtain attack data vectors and target measurement vectors in a false data injection attack. The application considers the Non-IID distribution property of distributed measurement, protects data privacy through a hierarchical architecture integrating a client, a subserver and a central server, is scalable, and improves the detection efficiency of false injection attack data.

A communication engineering cable tray includes a cable tray, a hanging rod, a cable tray plate, a fastening plate, a locking rod, a lever, and a cover. The cable tray has connecting plates at both ends, and a screw passes through the connecting plates. The two ends of the screw are threadedly connected to fixing nuts. The upper part of the cable tray has a hanging tube, which is threadedly connected to the hanging rod. The upper end of the hanging rod has a mounting plate. The cable tray has an internal slide rail that adapts to the cable tray plate. The cable tray plate connects to the slide rail and slides within the slide rail. The cable tray is externally connected to a fastening plate, which has fastening rods on both sides. The cable tray has multiple external through holes on both sides, and the cable tray plate has internal through holes on both sides. The internal and external through holes adapt to the fastening rods, and the fastening rods pass through the external and internal through holes sequentially. The fastening rods are threadedly connected to fastening nuts.

The utility model relates to the field of diesel engine crankshaft parts, in particular to a crankshaft of a diesel engine for teaching. The crankshaft of the diesel engine for teaching comprises a support, mounting grooves and clamping jaws, the top of the support is rotationally connected with a crankshaft body, the middle of the support is fixedly connected with a cross rod, a tank is mounted on the cross rod, the mounting grooves are symmetrically formed in the crankshaft body, balancing weights are mounted in the mounting grooves, and the two clamping jaws are symmetrically mounted at the bottom of the support. According to the utility model, the mounting seat and the balancing weight are arranged on the crankshaft body, and the motor is combined to drive the crankshaft to rotate, so that the state change of the crankshaft in the movement process can be intuitively displayed; meanwhile, the transparent tank body on the cross beam and the shaking condition of clear water in the transparent tank body can clearly reflect the uniformity of the crankshaft counterweight and whether defects exist or not, so that students are helped to better understand the importance of the crankshaft balance.

This utility model relates to the field of rehabilitation training medical device technology, specifically to a correction device for the sliding track of an H-rail transfer machine. The correction device has at least one component mounted on the sliding track, dividing it into at least two segments. Each correction device includes a fixed unit and a moving unit. The fixed unit is fixedly connected to the left side of the sliding track segment, and the moving unit is fixedly connected to the right side of the sliding track segment. The moving unit can move left and right relative to the fixed unit, allowing the length of the sliding track to extend or retract. The correction device in this utility model allows for a certain degree of extension or retraction of the sliding track, thereby preventing jamming caused by non-parallelism when the sliding track reaches the H-shaped track joint.

The invention provides an antiskid chain. The antiskid chain comprises a chain body, a first tightening device and a supporting piece. The chain body comprises a first chain and a second chain which are arranged at an interval, and the first chain and the second chain are used for being mounted on a crown of a tire; the supporting pieces are arranged in the circumferential direction of the chain body at intervals, and the two ends of each supporting piece are connected with the first chain and the second chain correspondingly, so that the first chain and the second chain are spaced; the first tightening device comprises a flexible part, the flexible part has flexibility and is used for being arranged in the first chain and the second chain in a penetrating mode, and when the flexible part is in a free state, the maximum distance between the first chain and the second chain at the flexible part is smaller than the distance between the first chain and the second chain at the supporting part. According to the antiskid chain, reliable locking force can be provided, the chain body is prevented from falling off in the using process, and the antiskid chain is very convenient to install, use and adjust.

The invention discloses a structure for a joint of a road underpass and a rear opening of an existing underground structure, which comprises the existing underground structure, and the rear opening is formed in the side wall of the existing underground structure; the protective ring beam is poured on the outer side of the side wall, the protective ring beam is arranged in a circle in the circumferential direction of the rear opening, and a rubber water stop strip is embedded in a construction joint between the side, facing the side wall, of the protective ring beam and the existing underground structure; the road underpass channel is coaxially arranged on the other side, away from the side wall, of the protective ring beam, and a deformation joint is formed between the road underpass channel and the other side of the protective ring beam; and the water stop belt is arranged in the deformation joint, and the two opposite sides of the water stop belt are buried in the road underpass channel and the protective ring beam correspondingly. The problem that the waterproof effect is poor when the rear opening is connected under the condition of asynchronous construction of the road underpass and the existing underground structure is solved.

The invention belongs to the technical field of aircraft control, and particularly relates to a simulation test system and method for an aircraft obstacle avoidance algorithm. The invention discloses a simulation test system and method for an aircraft obstacle avoidance algorithm. The system comprises a virtual environment modeling device, a dynamics resolving device, an obstacle avoidance logic processing device, a physiological feature modeling device, a stress parameter mapping device, a comprehensive evaluation feedback device and a data monitoring device. According to the method, kinematic parameters are mapped into physiological stress parameters such as gravity overload and motion sickness, and an obstacle avoidance track is fed back and corrected according to a physiological comfort threshold, so that an obstacle avoidance path conforms to the tolerance limit of a human body on the premise of ensuring safety. According to the method, deep fusion of control engineering and aeronautical medicine is realized, obstacle avoidance assessment extends to the field of physiological tolerance from physical safety, the scientificity of simulation assessment of the manned aircraft is improved, and the risk of personnel disability caused by violent maneuver in real flight is reduced.

The invention provides an implicit behavior data security acquisition method and device based on federal learning, and relates to the field of data security. The method comprises the following steps: acquiring implicit behavior data in a user equipment side, and preprocessing the implicit behavior data; performing feature extraction operation on the implicit behavior data after the preprocessing operation, and obtaining target behavior features corresponding to the keyboard data, the mouse data and the eye movement data respectively; obtaining hybrid model training parameters based on the target behavior characteristics; training parameters through a hybrid model, and carrying out local model iterative training based on a federated learning dynamic aggregation algorithm; obtaining model parameters after iterative training, and adding encryption noise for the model parameters according to a double-layer differential privacy integration mechanism; and obtaining model parameters after noise addition to complete data security acquisition. The problem that most of applications of existing federal learning in implicit behavior data still stay on the structural level, and the hidden danger of behavior privacy disclosure exists is solved.

The invention provides a delivery verification configuration method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of electronic logistics. The delivery verification configuration method comprises the following steps: in response to an obtained delivery mutual exclusion configuration content, converting the delivery mutual exclusion configuration content into a delivery mutual exclusion rule based on a data structure conversion model; in response to the obtained delivery handover information, identifying parcel delivery information, and analyzing the business identity of the parcel; querying the delivery mutual exclusion rule matched with the service identity, and mapping the matched delivery mutual exclusion rule to a delivery mutual exclusion verification model; and based on the delivery mutual exclusion verification model, performing verification operation of whether mutual exclusion occurs when the same vehicle-mounted transportation is used on the parcel delivery information, and generating mutual exclusion prompt information based on a verification result. Through the technical scheme disclosed by the invention, the delivery verification operation can dynamically and flexibly support different warehouse verification attributes.

The invention provides an implementation method for generating word document export according to a template, and relates to the technical field of code generation. The method comprises the following steps of: installing related dependencies used by a Docxtemplater; the method comprises the following steps of: creating a word template file according to a Docxtemplater; and packaging the Js and calling an export method. In a Node.js environment, by reading a template file and processing data and pictures, the dynamic data is filled into a. Docx template and exported as a Word document, and the data and the pictures in a JSON format are embedded into the generated document and exported. The Docxtemplater plug-in is good in flexibility, capable of processing complex document structures and inserting various types of data, expandability is achieved, a user-defined processor can be added, compatibility is good, and the Docxtemplater plug-in can be used in different browsers and Node.js environments.

The present application relates to the technical field of multi-sensor system state estimation, and particularly relates to a kind of cluster multi-sensor network robust state estimation method and system resisting compound interference. Including the following steps: constructing the cluster multi-sensor network comprising multiple estimators and multiple sensors, using encryption algorithm to encrypt sensor measurement data and generate authentication tag, calculate sensor attack strength based on the hamming distance of authentication tag, each estimator based on maximum correlation entropy criterion, using the measurement data of trusted sensor in cluster and sensor attack strength to carry out local state update, obtain posterior state estimation;Each estimator exchanges posterior state estimation with neighbor estimator based on information consistency algorithm, and realizes the consistent fusion state estimation of inter-cluster state estimation through iterative communication.The present application guarantees the confidentiality and integrity of data transmission by integrating lightweight AES-CTR encryption and GMAC authentication mechanism.

The application provides a method for reducing thermal damage of a cooling medium and a laser processing array. The method can reduce or even avoid the formation of a thermal damage area of the laser processing, improve the processing quality, and particularly can improve the density of an array structure, and obtain a ceramic product containing a high-integration array structure.

The application relates to a demodulation device for continuous multicarrier signals aiming at efficient transmission in the field of digital signal processing, which comprises a digital shunt module, a multi-path matching filter module, a multi-path timing synchronization module, a multi-path frame header capture module, a multi-path descrambling and despreading module, a multi-path carrier synchronization module, a multi-path demapping and decoding and packet assembling module and a decoding module. The application can realize efficient transmission of FPGA, can extend to support demodulation of multiple modulation and spread spectrum coding modes and multiple rate continuous signals, can support 64-way or even more continuous multicarrier demodulation, and the performance loss of baseband demodulation is less than 0.5 dB. The application is suitable for processing more users and larger capacity high-throughput system gateway stations and satellite transponder load demodulators.

The invention discloses an intelligent water conservancy information management method and system based on a block chain, and relates to the field of water conservancy data storage and sharing. The method comprises the steps that (1) an intelligent water conservancy platform based on a block chain and an IPFS file system is constructed, and after a user makes a data uploading request, the platform receives data and stores the data in the IPFS; (2) the IPFS feeds back an address hash value corresponding to the data to the block chain, and the block chain node packages the hash value in a transaction record; (3) a main node election mode of the block chain adopts a vote change mechanism, the candidate node free time number and the slave node free time number are compared, and the candidate node with the maximum free time number is selected as a main node; and (4) the block passing through the node consensus is added into the block chain, the data on the chain is displayed on a platform page, and the user can check and modify the data according to the authority. Safe storage and sharing of the water conservancy data are achieved, the data storage efficiency is improved, the consensus time is shortened, and the system throughput is improved.

The present application relates to a positioning member for fixing a plate in a jig of a semi-automatic printing machine and a vacuum hole machine. The positioning member comprises a needle body and a gasket, wherein the transverse dimension of the needle body corresponds to the transverse dimension of a positioning hole on the jig. The gasket is arranged at the bottom of the needle body, and the gasket is configured to make the needle body extend and protrude on the top of the positioning hole of the jig in the height direction.

The present application belongs to the technical field of geological disaster identification, and provides a tunnel construction geological disaster dynamic identification method and system, geological and structural response data in the tunnel construction process are acquired, and the data is cleaned and feature enhanced; a dynamic horizontal extension network learning model is used to extract image primary fusion features of the data, the features are mapped to feature nodes through random weight mapping, and part of the feature nodes are randomly mapped to enhanced nodes; in response to changes in the tunnel construction conditions, an incremental learning mechanism is triggered, the feature nodes and the enhanced nodes are incremented, and the acquired data is newly added, the number of the feature nodes and the enhanced nodes is dynamically adjusted according to the feature distribution and complexity of the newly added data; the feature nodes and the enhanced nodes are taken as inputs, and a geological disaster dynamic identification model is used to perform real-time discrimination of disaster types and risk level evaluation. The present application can realize real-time perception and dynamic risk prevention and control of tunnel construction geological disasters.

The invention provides a message strip display method and device, equipment, a medium and a program product. A specific embodiment of the message strip display method in the application comprises the following steps: acquiring a standard live video frame; performing target detection on the standard live video frame, and determining the category and the original position of a target area; determining a target path of the message bar based on the category and the original position of the target area, the size of the screen and the size of the message bar; and rendering the message bar, and moving the rendered message bar in the screen according to the target path. According to the embodiment, accurate avoidance of the message strip to the sensitive area is realized through on-end real-time detection and dynamic path decision, and the user experience and the message strip exposure effect are both considered.

The application discloses a method for quickly regulating layer spacing of a layered molecular sieve and application thereof. The method is characterized by using tetraethyl silicate condensate, tetrabutyl titanate silane and ferrocene silane as intercalation reagents, making a carrier gas carry vaporized intercalation reagents to flow through a reactor loaded with the layered molecular sieve, making the carrier gas carry vaporized deionized water to flow through the reactor loaded with the layered molecular sieve, and then performing calcination on the layered molecular sieve to obtain a pillared post-molecular sieve with good thermal stability. The application adopts gas phase pillaring, and has the advantages of simple preparation method, mild conditions, small amount of raw materials, simple steps, high yield, easy scale production, and the like. The intercalation reagent improves the high-temperature tolerance of the original layered molecular sieve, and at the same time, a plurality of active sites and places for adsorption of reactants are introduced at one time. The pillared post-molecular sieve is used in a reaction of preparing epoxycyclooctane by oxidizing cyclooctene with hydrogen peroxide, and the reaction has a cyclooctene conversion rate of 43% or more and an epoxycyclooctane selectivity of 65% or more.

The application discloses a kind of intelligent detection building health and risk prediction teaching system, belong to intelligent construction teaching field, including: through intelligent car and the high-definition camera matrix of unmanned aerial vehicle terminal carrying is collected building data and is transmitted to operation super brain;Through the AI recognition big model and structure safety, natural disaster, personnel safety three risk assessment sub-models built-in in operation super brain, the multi-level comprehensive risk assessment of building state is carried out;Through the hazard identified in building digital twin 3D model corresponding position visualization presentation and generating graded warning signal by wisdom management platform, platform supports student login operation to carry out picture digitization, autonomous operation practice and complete experiment report;After completing on-campus laboratory simulation and course practice, form course outline and experiment report and popularize to other colleges and universities.The application enables students to visually observe building hazards, complete risk prediction operations, and promote cross-campus sharing of teaching resources.

The application belongs to the technical field of trusted authentication, and discloses a remote user trusted authentication system, method and medium in an Internet of Things environment. The system comprises a registration center (RC), which is a trusted server and is used for safely registering or initializing other entities; an intelligent device, which is arranged in an environment and is used for collecting and transmitting data; a gateway, which supports interconnection between different protocol networks and has computing and storage capabilities; a user, who accesses remote intelligent devices through a login device; and the login device, which is used for user trustworthiness verification. The login device includes but is not limited to a mobile device, an intelligent card and a PC. Through the system and method, the trusted authentication of remote users can be realized, and safe communication between the user and the intelligent device is established. Meanwhile, the application can also solve the problems of public key cryptography complexity, user authentication vulnerability and symmetric cryptography limitations.

This invention relates to the technical field of digital security for intelligent connected vehicles, specifically a method for quantifying the ROI of digital security investments in intelligent connected vehicles. The method categorizes the digital assets of the target vehicle model into two types: intrinsic assets and extended assets, and performs objective valuation through external traceable data sources. It enumerates all core attack paths for the vehicle model and establishes an attack surface profile. It presets attack progress levels and baseline success probabilities, uses a standard man-day equivalent as a four-dimensional additive model, and introduces expected cost to calculate the cost of each step, quantifying three scenarios: mid-way interruption, early completion, and complete success. It separately calculates risk reduction coefficients, inputs, and returns to construct a three-level ROI calculation system. Finally, it solves a constrained multi-objective equilibrium problem, outputting multiple sets of differentiated optimal solutions. This method eliminates subjective scoring dependence in all stages of asset valuation, attack path quantification, and multi-objective decision-making, and ensures reproducibility through a parameter library, dual-source cross-validation, and double-blind retesting mechanisms.

The disclosure provides an emergency plan-based fault handling method, which can be applied to the technical field of operation and maintenance. The method comprises the following steps: generating a plurality of fault listeners according to a preset emergency plan, wherein the fault listeners are used for detecting fault scenes; generating a fault handling script according to the preset emergency plan when the fault listeners detect that a fault occurs; and executing the fault handling script to recover the fault. The disclosure also provides an emergency plan-based fault handling system, equipment, a storage medium and a program product.

An optical imaging-assisted edible fungus breeding automated screening and optimization device belongs to the field of bioengineering breeding technology. The device includes a stage, a main rail, a secondary rail and an imaging instrument holder. When the device is used, the edible strain is first placed in the grid area of ​​the stage surface. After the host computer is parameterized and initialized, the main rail controls the lateral movement of the imaging instrument, the secondary rail controls the longitudinal movement of the imaging instrument, the imaging instrument collects image information of the edible strain, the host computer analyzes the image and extracts the phenotype, and the servo motor and the imaging instrument work within the set cycle. The present invention reduces human supervision and intervention, and greatly improves the efficiency and accuracy of information collection during edible fungus breeding and screening.