57results about How to "Scalable" patented technology

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 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 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.

The invention relates to the technical field of data processing and artificial intelligence, in particular to a multi-source data-based energy equipment full life cycle knowledge base construction method, which comprises the following steps of: acquiring multi-source data; classifying the multi-source data according to a file format, calling a corresponding analysis model to extract text content, outputting corresponding text features and semantic content, and forming a native knowledge unit; carrying out disassembly and element processing on the native knowledge unit, and constructing a hierarchical relationship, a causal relationship and a cooperative relationship among elements in combination with a knowledge graph technology; carrying out multi-role collaborative evaluation on the generated knowledge units, and screening high-quality knowledge units by comparing a weighted comprehensive score with a preset threshold value; and classifying and integrating the screened high-quality knowledge units according to business links and application fields, and constructing a knowledge base. Through the method, the problem of cross-link information isolation in the prior art can be effectively solved, and the data management and knowledge management level of the whole process of equipment manufacturing and operation and maintenance can be improved.

This invention belongs to the field of electromagnetic materials technology, and discloses a composite microwave absorbing material with a cross-dimensional interpenetrating interface, its preparation method, and its applications. The material comprises, in its thickness direction, a loose fibrous layer, a dense conductive carbon layer, and electromagnetic functional particles anchored to the inner walls of pores, the surface of the layers, and / or the interlayer gaps. The roots of the fibrous carbon extend into and are anchored to the pores and / or interlayer gaps of the framework, forming a cross-dimensional interpenetrating interface to achieve continuous conductive connections and / or local fusion connections. The electromagnetic functional particles are in close contact with the carbon framework, providing magnetic loss and / or dielectric loss. The preparation method includes: employing a stepwise energy beam-induced carbonization strategy on the first and second carbonizable precursor layers to induce the generation of fibrous carbon and in-situ carbonization of the infiltrated portions, achieving interpenetrating anchoring and particle conversion anchoring. This material is suitable for low-frequency absorption-dominant electromagnetic shielding, microwave absorbing patches, and flexible electronic devices.

This invention belongs to the field of data retrieval and discloses an efficient spatial dataset query method based on density grayscale images. It includes two stages: a data processing stage, which processes a given spatial database, constructs a global rectangular region, divides it into grids, and generates a density grayscale image for each spatial dataset based on the density distribution information of location points within the corresponding grid; and a query execution stage, which generates a sample grayscale image based on a given query sample dataset, compares the sample grayscale image with the grayscale images of each dataset, identifies overlapping candidate datasets, calculates the similarity between the candidate datasets and the query sample datasets based on the generated candidate dataset grayscale images and the sample grayscale images, and selects the k datasets with the highest similarity as the query results. This invention can effectively reduce the computational load and complexity of queries, providing more accurate and comprehensive query results, thereby balancing query accuracy and efficiency.

The application discloses a vehicle assembly space checking method and related equipment, and relates to the technical field of vehicle assembly. The method comprises the following steps: obtaining bill of materials data and to-be-detected assembly data of a target vehicle model; based on a preset multi-modal process knowledge base, corresponding target tool models are matched for to-be-detected parts in the bill of materials data, wherein the preset multi-modal process knowledge base is a semantic association database constructed based on a part geometric feature vector, a tool envelope parameter vector and a process constraint rule vector; based on the to-be-detected assembly data and the target tool models, batch space path planning and interference checking are performed on each to-be-detected part, and checking results for the to-be-detected parts are generated. According to the application, semantic matching of parts and tools is realized based on structured assembly data and a multi-modal vectorized process knowledge base, batch path planning and space interference checking are performed on multiple to-be-detected parts, and the automation degree, matching accuracy and processing efficiency of assembly space checking can be improved.

The invention provides an intelligent plant pruning mechanical arm control method and system, relates to the field of intelligent robot control, and solves the technical problems that an existing plant pruning mechanical arm system seriously depends on a plane vision image, the plant sensing precision is low, and the pruning path planning capability is poor. The method comprises the following steps: collecting multi-modal visual data of a target plant, and processing the visual data based on a three-dimensional reconstruction algorithm to generate a plant three-dimensional model; a target three-dimensional model of a target shape is obtained, difference analysis and trajectory optimization are conducted on the plant three-dimensional model and the target three-dimensional model based on the differentiable simulation technology, and a pruning path of the mechanical arm is generated; and receiving a user instruction, analyzing the user instruction through an intelligent algorithm, mapping the user instruction to the three-dimensional model, and generating and driving a mechanical arm to perform trimming operation along the trimming path.

The application relates to the technical field of unmanned aerial vehicle scheduling and intelligent optimization, and discloses a multi-unmanned aerial vehicle cooperative task allocation method and device for complex task scenarios, which has the technical scheme as follows: global multi-source data acquisition and space-time heterogeneous hypergraph representation, complex task causal emergence decoupling and counterfactual deduction optimization, hierarchical federated heterogeneous matching degree accurate representation, distributed external generalization causal element reinforcement learning dynamic allocation decision, distributed conflict resolution and digital twin closed loop iterative optimization; by adopting frontier technologies such as space-time heterogeneous hypergraph representation, causal emergence reasoning, hierarchical federated learning, causal element reinforcement learning and digital twin closed loop optimization, a causal driving full-link algorithm architecture is constructed to break through the inherent limitations of traditional correlation-based data-driven algorithms, so that efficient cooperative operation of a large-scale heterogeneous unmanned aerial vehicle cluster in a strong coupling task and an extreme dynamic environment can be realized.

The application relates to the technical field of stress monitoring, in particular to a kind of optical fiber stress monitoring method and system.It includes: preprocessing original optical signal data to form initial signal sequence;Based on frequency separation, extract polarization state fluctuation characteristics, determine polarization response mode;According to polarization response mode analysis coupling effect, extract low-frequency component to obtain purified signal sequence, calculate polarization elliptical parameter change rate to determine the principal stress direction coordinate of target material;Combining cluster analysis to identify optical signal cluster, quantize irreversible change between clusters to determine the plastic deformation starting point;Based on phase shift integral value, establish deformation quantization model, calculate plastic deformation degree index;Update polarization response mode and correct coupling effect parameter, output real-time deformation monitoring result of target material.The application solves the problem that signal coupling interference is large and plastic deformation is difficult to accurately identify in the existing optical fiber sensing technology, and realizes high sensitivity, high reliability and real-time monitoring of material stress.

The invention provides a digital atomic clock group management system and method, and the system comprises a plurality of atomic clocks, each atomic clock is connected with an ADC, each ADC is connected with the corresponding output end of the same multi-path power divider, each ADC is connected with a phase frequency detector, each phase frequency detector is connected with a stationary processor, and each stationary processor is connected with an analog-to-digital converter. And each stationary processor is connected with the corresponding input end of the same weighted averager. The output end of the weighted averager is connected with the loop filter, the loop filter is connected with the DAC controller, the DAC controller is connected with the DACs, each DAC is connected with the same adder circuit, and the adder circuit is connected with the VCXO. The clock group management unit comprises a scale algorithm module, a frequency modulation, phase modulation and drift modulation device, a loop parameter controller, a clock authorization manager, a working mode manager, a management mode selector, a clock group manager, a main clock selector, a channel controller, a weight controller and a phase difference and frequency difference demodulator. The system has the advantages of digitization, integration and expandability. The clock group management scheme and the time frequency scale algorithm are separated. According to the invention, high-precision generation of the satellite-borne VCXO voltage-controlled signal is realized.