30results about How to "Improve predictability" patented technology

This invention discloses a method for enhancing and controlling the radiation of an LPP-EUV light source based on dual-pulse spatiotemporal co-constraint, belonging to the field of semiconductor manufacturing technology. This invention obtains a spatiotemporal reference by real-time monitoring of a liquid metal droplet, uses a pre-pulse laser to induce target material deformation into a fogged target cloud, and combines high-speed imaging and a hydrodynamic model to predict the time and coordinates of the target cloud's energy absorption peak. It dynamically adjusts the delay time and optical axis direction of the main pulse laser to achieve dual-pulse spatiotemporal co-constraint, and constructs a closed-loop control system through a recursive least squares algorithm with a dynamic forgetting factor. This invention effectively improves the extreme ultraviolet light conversion efficiency, controls the power fluctuation of the light source within ±0.5%, and extends the maintenance cycle of optical components by 2 times. It can be widely applied to next-generation high-power extreme ultraviolet lithography light source systems, meeting the application requirements of semiconductor miniaturization processes.

The application relates to a water quality change trend rapid prediction method based on multi-source data fusion and physical constraints, and specifically comprises the following steps: step 1: synchronously collecting data such as spectrum information, DO, COD, temperature and pH at key monitoring sites, constructing a water dynamics-water quality coupling equation, and simulating the space-time dynamic distribution of water quality parameters; step 2: outputting a water quality sensitive area through a water dynamics-water quality model, screening sensor layout points by combining information entropy evaluation and spatial clustering, realizing low-cost water quality sensor network deployment through a multi-objective optimization algorithm, and calculating a water body global water quality distribution map by adopting a spatial interpolation method; step 3: analyzing main pollution sources according to the synchronous collection of spectrum information at key monitoring sites, and adopting principal component analysis and an attention mechanism neural network; step 4: based on real-time optical characteristic value-DO data, combining a spatial topological network, a water quality gradient and a cross-region covariance to capture the spatial correlation of water quality parameters between different points, and constructing an optical characteristic value-DO-COD dynamic prediction model; combining pollution tracing and spectrum characteristic correction to correct the COD prediction value, adopting ensemble Kalman filtering to assimilate multi-source data, and improving the model accuracy.

The present application relates to a tire rubber performance detection method, and particularly relates to a method and system for measuring a low-temperature network dissipation index for characterizing the low-temperature rolling energy consumption tendency of rubber tire tread rubber. The present application performs a strain amplitude scanning under constant frequency at T0+ / -DeltaT three temperature points by RPA / DMA, calculates the area type Payne value A(T) of the logarithmic strain coordinate and the temperature derivative thereof at T0, and outputs an index; the mixed area can be normalized or G'' is introduced. Through regression calibration k of the whole tire rolling resistance according to ISO 28580 and a threshold value, fast, comparable and quantifiable prediction of low-temperature energy consumption of the material grade is realized, and the present application is suitable for formula development, incoming material release and process control.

This invention discloses a method for monitoring low-altitude targets in substations based on 5G-A integrated sensing technology, belonging to the field of integrated sensing security technology. The method includes: acquiring an electronic map and key equipment location information of the substation to construct a three-dimensional semantic map of the substation area; combining the kinematic features of a unique low-altitude target's continuous trajectory with the functional semantic annotations of key equipment in the three-dimensional semantic map of the substation area to perform behavioral pattern recognition and intent understanding on the unique low-altitude target, outputting target type labels, intent labels, and corresponding threat levels; comparing the target type labels, intent labels, corresponding threat levels, and the unique low-altitude target's continuous trajectory with an electronic fence to generate graded alarm events and countermeasure suggestions, and issuing linkage commands to defense equipment and a linkage platform to trigger corresponding actions. This invention achieves accurate mapping from target behavior to threat intent by extracting kinematic features and functional semantic annotations, improving the ability to recognize and predict hidden risks.

This invention discloses a high-strength passive daytime radiation cooling film and its preparation method, belonging to the field of functional polymer materials and thermal management technology. The film has a bilayer composite structure, including an upper reflective layer and a lower emitting layer. This invention employs an integrated process of melt blending-lamination-biaxial stretching-induced phase separation-extraction pore-fixing. Through a process design of stretching followed by extraction and a hierarchical biaxial stretching strategy, it achieves highly oriented molecular chains to enhance mechanical properties while precisely constructing a multi-level structure with both nanopores and micropores. The resulting film exhibits an average reflectivity >93% in the solar radiation band (0.25–2.5 μm), an average emissivity >95% in the atmospheric window (8–14 μm), a thermal conductivity <0.1 W / (m·K), and a tensile strength >30 MPa. This invention solves the technical bottleneck of achieving high reflectivity, high emissivity, low thermal conductivity, and high strength simultaneously in radiation cooling materials, and can be widely applied in building energy conservation, outdoor equipment thermal management, and electronic device heat dissipation.

This invention discloses a method and system for anisotropic patterning correction of wafer warpage, comprising: obtaining the target anisotropic curvature compensation value of the wafer to be corrected; calculating the target equivalent thin film stress value to be achieved by the stress balance layer based on the curvature compensation value, the mechanical parameters of the wafer substrate, and the preset thickness of the patterned stress balance layer; determining the geometric parameters of the patterned stress balance layer using a quantitative relationship model, based on the target equivalent thin film stress value, the intrinsic stress of the selected thin film material, and Poisson's ratio; and fabricating a corresponding patterned stress balance layer on the back side of the wafer to complete the warpage correction. By designing the patterned stress balance layer, the anisotropic control of the overall thin film stress state of the back stress layer can be achieved; curvature compensation, both in magnitude and direction, can be independently designed for warpage differences in different directions of the wafer, thereby adapting to and correcting various complex asymmetric warpage morphologies.

This invention discloses a rapid power grid fault recovery system and method based on graph data detection, belonging to the field of power system automation. The system includes: a topology analysis module, which constructs a weighted graph of the power grid and calculates spectral features to generate a topology metric for quantifying grid resilience; a data consistency detection module, which calculates the geometric consistency between local measurements and global state data to generate a consistency score; a neural symbolic decision-making module, which integrates the topology metric and the consistency score, generates high-level control intentions through reinforcement learning, and verifies and corrects them using a symbolic rule base that encodes physical constraints; and a fault recovery execution module, which generates equipment control commands to achieve phased fault isolation and power restoration. This invention improves the real-time performance, data reliability, and decision security of power grid fault response, possesses autonomous learning and adaptive decision-making capabilities, and can effectively enhance the self-healing capability and operational resilience of the power grid.

This invention relates to the field of biomedical technology, and more particularly to a miniature amniotic trephine device for macular hole surgery. It includes a support shell, on one side of which is slidably connected a ring-shaped array of blades. When fully extended, the ring-shaped array of blades will not extend beyond the adjacent side of the support shell. A power assembly for moving the ring-shaped array of blades is disposed within the support shell. A support assembly for temporarily supporting the surgical site is also disposed within the support shell. Two annular inclined plates and two annular guide plates are fixedly connected to the side of the support shell near the ring-shaped array of blades. This invention utilizes a ring-shaped array structure composed of multiple blades to form a standardized cutting profile, ensuring that the size and shape of the amniotic membrane slices obtained each time are within a predetermined range, thereby avoiding quality instability problems caused by variations in existing operations.

This invention discloses an online detection method and device for the trajectory of sphere polishing, relating to the field of precision machining online detection. The method includes: S1, acquiring a continuous image sequence during the sphere polishing process at time i using a high-speed camera; S2, preprocessing and feature recognition of the continuous image sequence; S3, a rotation angular velocity measurement module calculating the rotation angle and rotation angular velocity to obtain theoretical values; and a three-dimensional trajectory reconstruction module radially projecting discrete trajectory points onto a sphere surface determined based on the first point, to achieve visualized three-dimensional trajectory reconstruction under geometric constraints, thus completing the online detection of the sphere polishing trajectory. This invention combines a transparent grinding disc structure, a multi-view observation layout, and a dedicated image processing algorithm to achieve real-time, high-precision, and high-efficiency online detection of the sphere's rotational motion parameters and trajectory during the polishing process.

This invention relates to a method, apparatus, device, and medium for generating intelligent flight operations. The method includes the following steps: S1. Calibrate script settings before flight begins; S2. After flight begins, collect real-time response data of the aircraft under pilot control and define its features; S3. Standardize the collected data; S4. Construct a model based on the standardized data; S5. Calculate the prediction difference using a loss function on the model; S6. Train and optimize model parameters based on the difference. This invention trains individual models based on actual pilot control data, adaptively fitting multi-dimensional parameters such as operation amount, operation speed, and response latency. Compared with the fixed mapping of the average standard, this significantly reduces individual understanding bias, causing the command-control bias to converge to a set threshold after calibration, thus improving the consistency and predictability of human-machine interaction.

The application discloses a dynamic human body falling detection method based on future human body time sequence posture prediction, and the method comprises the following steps: automatically calibrating the ground in a monitoring scene to obtain ground plane parameters; detecting, cropping and tracking the human body target in a video image to obtain a human body image sequence; performing single-person 3D posture estimation on the human body image sequence frame by frame to obtain a historical 3D skeleton sequence; constructing a skeleton motion flow feature according to the historical 3D skeleton sequence, and extracting a current human body state feature by using a time sequence feature coding model; predicting a future H-frame human body 3D skeleton sequence based on the current human body state feature; determining whether the human body has a risk of falling soon according to the included angle between the human body trunk vector in the future 3D skeleton and the ground plane normal vector, and combining the distance information of the skeleton key point to the ground plane; and outputting a warning signal when a preset condition is met, and the method is suitable for security monitoring, old-age care, public safety and the like.

The present application provides a method for in vitro proliferation of cells, comprising the following steps: adding a NKG2A conjugate to a first cell culture solution to form a second cell culture solution; and adding a cell to a cell culture container containing the second cell culture solution for a cell expansion culture to obtain an expanded cell. The method for in vitro proliferation of cells provided by the present application can efficiently obtain a large number of high-purity NK cells, and the expanded cells have a significant tumor killing ability.

This invention relates to the field of data management technology, specifically to an intelligent flow scheduling method for high-performance oil circuits in sheet metal pipeline networks. The specific implementation process includes: establishing a distributed intelligent execution entity and a resource optimization model based on a sheet metal pipeline network containing schedulable units and production management information including historical performance baselines and production plans; the distributed intelligent execution entity acquires and evaluates the operating data of the schedulable units to generate real-time status data; combining the real-time status data and historical performance baselines to analyze drift trends and generate performance degradation data; based on the production plan and performance degradation data, quantifying the comprehensive operating cost as the objective function to calculate and generate resource allocation strategies and work instructions; and the distributed intelligent execution entity combining work instructions, real-time status data, and performance degradation data to execute dynamic compensation management and generate scheduling instructions. This invention optimizes resource allocation by evaluating the real-time and long-term status of equipment, achieving risk avoidance and dynamic cost optimization.

The invention relates to the technical field of agriculture, and particularly discloses a comprehensive pest and disease damage prevention and control method combining winter peach fruit bagging with trapping and killing technology, which comprises the following steps: in a winter peach physiological fruit dropping period, suspending insect sex pheromone trappers in an orchard, and monitoring the adult sexual period of peach fruit moths and oriental fruit moths; s2, according to the monitoring result of the step S1, all fruits are uniformly bagged before the initial emergence period of the target pest adults and after fruit setting is completed; physical bagging and various trapping and killing technologies are systematically integrated in time sequence and space, pest situation monitoring is used as a guide, the optimal window period of bagging is determined, physical isolation measures are made to play the maximum effect, a composite trapping and killing system is deployed subsequently, space differentiation configuration is conducted according to ecological habits and activity rules of different pests, and the pest trapping and killing effect is improved. Accurate coverage of the trapping and killing range and the target object is achieved.

The application provides an interval event matching method and system of a content-based publish / subscribe system, through constructing a predicate disjoint set and an optimized partition model thereof, and integrating a learning index of a range query recursive model index in each partition, high-speed, stable and verifiable matching of events to a subscription set under multi-attribute interval predicates is realized; in particular, the traditional memory-intensive matching is reconstructed into a calculation-intensive process mainly based on model reasoning, while correctness and completeness are ensured, average latency is reduced and long tail delay is inhibited, and key modules such as partition and coverage optimization, model training and online reasoning, error boundary control and limited correction, and accurate back matching of residual set subscription are included.

The application discloses a kind of neural regulation self-adapting method and system based on dynamic structure-function coupling monitoring, it is related to neural regulation and medical image analysis technical field, the method first acquires the multimodal magnetic resonance image data of two time points before and after neural regulation stimulation intervention;Second, the structure-function coupling value of each time point target brain area is calculated, the value represents the matching degree of the brain area function connection mode and structure connection mode;Then, calculate early coupling change value;Finally, compare the change value with preset threshold, and generate decision signal accordingly: if greater than threshold, maintain current parameter, if less than or equal to threshold, trigger adaptive adjustment including relocation, parameter adjustment and other strategies.Corresponding system includes data acquisition, processing analysis and decision module.The application realizes neural regulation from static open loop to dynamic closed loop by monitoring the dynamic neural plasticity biomarker in early intervention, improves the accuracy and efficiency of intervention.

This invention relates to a multi-segment variable stiffness magnetically driven continuum conduit robot and its control method. The multi-segment variable stiffness magnetically driven continuum conduit robot includes a conduit body with at least one axially extending working channel inside; a multi-joint magnetic drive unit includes multiple magnetic units spaced apart along the axial direction of the conduit body; a reversible variable stiffness module is disposed within at least one functional segment of the conduit body; the reversible variable stiffness module includes a phase change material encapsulated within a flexible covering structure and a heating component for heating the phase change material; a stiffness control system controls the phase state of the phase change material in each reversible variable stiffness module. This invention, by combining a multi-joint magnetic drive structure with segmented integrated reversible variable stiffness modules, achieves precise controllability of the deformable segments of the continuum robot, on-demand provision of local stiffness, and flexible switching between multiple working modes, thereby improving its operational accuracy, stability, and adaptability in complex cavity environments.

This invention relates to the field of data management technology and discloses a smart contract data management and flow control system for data circulation. It addresses the problem of multiple data authorization rules existing in the system at different times during data management and flow. The system includes: upon receiving a data flow request, obtaining an authorization rule state sequence; based on the authorization rule state sequence, determining whether at least one authorization rule change has occurred within the data flow request's lifecycle; if at least one authorization rule change has occurred within the data flow request's lifecycle, determining a candidate authorization rule state set based on the authorization rule state sequence; obtaining the rule applicability parameters corresponding to each authorization rule state in the candidate authorization rule state set; evaluating the rule applicability index; and determining the target authorization rule state corresponding to the current data flow request. This effectively improves the continuity, stability, and predictability of the data flow control process.

This invention discloses a method and system for predicting alarm events in refining and chemical plants, comprising: acquiring historical process alarm events of the unit to be evaluated from the DCS system, and establishing an original alarm data sequence based on alarm time arrangement; establishing a historical alarm flood data sequence library based on the original alarm data sequence, and predicting the alarm parameter similarity prediction sequence corresponding to the latest alarm segment by comparing the acquired latest alarm parameter flood data sequence with the historical alarm flood data sequence library; obtaining an alarm parameter model prediction sequence based on the latest alarm parameter flood data sequence using a fusion alarm prediction model; and fusing the alarm parameter similarity prediction sequence and the alarm parameter model prediction sequence to obtain an alarm parameter prediction result sequence.

This invention provides a method, apparatus, computer equipment, and readable storage medium for reviewing tender documents, relating to the field of data processing technology. The method includes: acquiring the tender document and corresponding bidding document; acquiring a review feature library containing review items and an applicability matrix, where each review item includes a review identifier and review requirements, and matrix elements are cross-located by review identifiers and construction scheme identifiers and associated with applicable states, verification points, and constraint parameters; identifying original text fragments of bidding evidence that meet the review requirements in the bidding document and generating a list of review points containing location information; identifying scheme evidence fragments in the tender document based on a construction scheme knowledge base and constructing a set of schemes to be reviewed; traversing the review points and schemes to be reviewed, locating target elements through the matrix, completing the review, and outputting review data containing review points, schemes, and review results. This invention enables automatic review and verifiable results of tender responses in scenarios with long documents and multiple schemes.

This invention relates to the field of temperature control technology, specifically to a method and system for temperature control of a dimethyl silicone oil reactor. The method includes: acquiring viscosity and temperature data of materials at several different locations within the reactor, establishing a coupled field, analyzing the changes in the data gradients in the coupled field along spatial and temporal dimensions to obtain control feature vectors at different times; generating a control instruction set for the current time based on the deviation of the current control feature vector from several control feature vectors at consecutive historical times within the vector space corresponding to the control feature vector; and adjusting the proportional gain, integral time, and derivative time of the PID controller based on the control objective corresponding to the control instruction set, thereby regulating the temperature of the dimethyl silicone oil reactor. This invention improves the temperature uniformity of the dimethyl silicone oil reactor, thereby improving the production efficiency of dimethyl silicone oil.

This invention provides a method for characterizing output current noise considering load-side parasitic parameters, belonging to the field of power supply and motor drive technology. The invention includes the following steps: Step 1: Constructing equivalent models of the parasitic capacitance of the filter inductor and motor inductor to characterize the non-ideal impedance characteristics of the load side under high-frequency conditions; Step 2: Establishing a unified small-signal equivalent model including parasitic parameters on both the bridge arm and load sides, and deriving the output current expression based on the parasitic capacitance equivalent model from Step 1, revealing the intrinsic mechanism by which voltage oscillations at the switching node are conducted to the output side via the parasitic capacitance network, introducing current noise; Step 3: Analyzing the influence of output current characteristics using theoretical simulation methods. This invention improves the accuracy and predictability of power amplifier output current analysis, providing a theoretical basis and methodological support for noise optimization design of high-precision motor drive systems.

This invention discloses a method for preparing hybrid metal halide crystals based on in-situ organic reactions. The method first dissolves bismuth bromide or antimony bromide in a mixed solution of dimethyl sulfoxide and hydrobromic acid. Then, acetone is added to the reaction system, allowing dimethyl sulfoxide and acetone to sequentially generate intermediate and product cations under acidic conditions. These two cations enter the hybrid metal halide crystal lattice as organic components in an independent and mixed manner, thereby achieving a directional structural transformation of three highly correlated types of hybrid metal halides. The transformation rate depends on the system's settling temperature. The compound product prepared by this invention is lead-free, has low toxicity, and yields crystals with high integrity and crystallinity. This method is simple, capable of mass production, and highly suitable for widespread application.

The application provides an energy management method for a hydrogen-powered full-electric ship, and belongs to the technical field of energy management. The method comprises the following steps: acquiring historical operation data of a hydrogen-powered full-electric ship in real time; based on the acquired historical operation data, predicting a load power prediction interval of the hydrogen-powered full-electric ship in a future preset time period; taking the load power prediction interval in the future preset time period as a known future disturbance input, and rolling to solve an optimal power distribution sequence of a power source of the hydrogen-powered full-electric ship in the future preset time period; and controlling power outputs of the proton exchange membrane fuel cell and the lithium battery according to the solved optimal power distribution sequence, so as to realize operation cost optimization of the hydrogen-powered full-electric ship. Hydrogen consumption and equipment degradation cost are effectively reduced.

This invention discloses a method for low-altitude UAV target identification and early warning based on multi-source perception, relating to the field of low-altitude security and control technology. The method includes: acquiring low-altitude perception data from radar, photoelectric, and passive radio frequency sensors, and preprocessing it to form standardized multi-source observation data; establishing a source quality assessment model to calculate source quality factors and performing spatiotemporal alignment of the data; outputting the target fusion trajectory state quantity and confidence level through gated probabilistic correlation and adaptive weighted fusion, and extracting multi-dimensional features such as radar micro-Doppler, photoelectric shape, and radio frequency fingerprint to construct a fusion feature vector input classifier to identify target categories; establishing a threat scoring function by combining trajectory prediction and behavioral pattern analysis, outputting threat level and confidence level, and executing graded early warning based on dynamic thresholds. This invention solves the problems of unstable detection by a single sensor, low identification accuracy, and delayed early warning in low-altitude environments, improving the robustness and predictability of low-altitude UAV target control.

This invention discloses an intelligent dietary system and method based on metabolic management. The system includes a data acquisition unit for collecting basic user information and meal records; a cloud service unit for dynamically assessing the user's current blood glucose status and dietary restriction needs based on dietary guidelines and individual user data; a user interaction unit for providing an intuitive and user-friendly interface, allowing users to view recommended plans, provide feedback on implementation status, and adjust dietary preferences; and an external ecosystem connection unit for acquiring real-time or historical blood glucose data from the cloud for dynamically adjusting dietary recommendations. The method of the intelligent dietary system based on metabolic management has the following advantages: lowered usage threshold; real-time closed-loop operation; improved execution accuracy; and seamless integration.

This application provides a method and system for evaluating the sealing performance of a thermal isostatic pressure ultra-high pressure vessel. The method includes: acquiring isostatic pressure parameters, temperature parameters, and structural response parameters from a set of operating state parameters; in the sealing load-bearing area of ​​the end cap assembly, acquiring structural response characteristics related to the sealing contact state based on the structural response parameters from the set of operating state parameters; constructing an equivalent stiffness characteristic quantity of the sealing interface based on the correspondence between the isostatic pressure parameters and the structural response characteristics; generating a thermo-mechanical coupling characteristic index of the sealing interface based on the coupling relationship between temperature parameters and structural response characteristics at different operating stages; during pressure loading or unloading, generating a pressure change rate based on the isostatic pressure parameters and acquiring the theoretical displacement of the self-pressurizing structure or pre-tightening structure of the sealing assembly; and outputting the sealing performance evaluation results through the equivalent stiffness characteristic quantity, thermo-mechanical coupling characteristic index, and theoretical displacement. This application realizes real-time measurement of the sealing state under high temperature and high pressure conditions, improving the safety and reliability of the device operation.

The present application relates to the technical field of data processing, and more particularly to a power supply command guarantee data integration and emergency event disposal method and system, the method collects target multidimensional data through step S1, also integrates multi-source data and spatialized visualization through step S2, also accurately geographically correlates and maps multi-source heterogeneous data and the power grid one map through step S3, also upgrades the static command view to the dynamic calibrated intelligent operation map through step S4, also realizes the automatic identification and intelligent filtering of the power grid emergency event through step S5, also realizes the accurate matching of the emergency event and the surrounding emergency resources through step S6, also realizes the intelligent generation of the disposal strategy through step S7, also constructs the self-adaptive closed-loop optimization mechanism through step S8, and also continuously optimizes the resource matching and the scheduling rule through step S9.

This invention relates to the field of water treatment technology for recirculating aquaculture systems (RAS), and discloses a method for rapidly cultivating stable nitrifying bacteria in a land-based recirculating aquaculture system. The method includes the following steps: Step S1, system preparation and enrichment of ammonia-oxidizing bacteria; Step S2, oxygen deprivation and regulation to inhibit ammonia-oxidizing bacteria and create a growth window for nitrite-oxidizing bacteria; Step S3, restarting oxygenation to promote the establishment of nitrite-oxidizing bacteria dominance; Step S4, stable system operation. This method for rapidly cultivating stable nitrifying bacteria in a land-based recirculating aquaculture system achieves rapid startup of the biofilter and synchronization with aquaculture production, greatly improving facility utilization. This invention completely changes the traditional two-stage model of "cultivating bacteria first, then releasing fish." By simultaneously releasing low-density aquaculture organisms after system water injection, the bacteria cultivation process is fully integrated into the early stage of aquaculture. This allows the biofilter to reach a stable operating state within 25-30 days after the start of aquaculture, significantly shortening the system idle period.