43results about How to "Avoid blindness" patented technology

The application relates to the technical field of teaching instruments, and discloses an interactive teaching instrument and a use method thereof, which comprise a supporting assembly, the top of the supporting assembly is provided with a fixing assembly, the top of the fixing assembly is provided with an adjusting assembly, one side of the adjusting assembly is provided with a display assembly, the display assembly is provided with a light-shielding assembly, the supporting assembly comprises a base, pressure sensors are arranged at the lower ends of the four corners of the base, the fixing assembly comprises a fixing plate, the adjusting assembly comprises a rotating motor arranged at the bottom of the fixing plate, the application can flexibly adjust the angle position, effectively reduce the reflection, avoid affecting the teaching effect, actively remove dust from the display component, improve the display definition, timely intervene when the whole is in an unstable state, improve the stability of the whole, effectively protect the display component when the whole is tilted, and prevent the display component from being damaged.

This application discloses a method for calculating the vibration isolation of ship vibration isolation devices based on isolator type spectrum data, relating to the field of ship vibration isolation design. The method includes: acquiring the type spectrum data and impedance test data of the target isolator; determining the stiffness and damping parameters of the target isolator based on the type spectrum data and impedance test data; constructing a finite element model of the ship vibration isolation device; inputting the stiffness and damping parameters of the target isolator into the finite element model for calculation, and obtaining the vibration isolation calculation results of the target isolator. This method can efficiently utilize isolator type spectrum data to conduct vibration isolation calculation and evaluation of ship vibration isolation devices during the ship design phase, avoiding resonance between the natural frequency of the vibration isolation device and the excitation frequency of the equipment, and improving the vibration isolation effect.

This invention provides a method for assessing the capacity value of wind farm clusters based on the Johnson distribution system. The method comprises the following steps: Step 1: Establishing a wind farm cluster fluctuation model through power output analysis using a first-order Markov chain algorithm; Step 2: Establishing relevant models for different wind farm clusters through time-series power output analysis using the Johnson distribution system; Step 3: Conducting a reliability assessment of the power system based on the given load level and wind farm capacity, according to the power adequacy index; Step 4: Using a bisection method to adjust the load of the wind farm system to search for the reliable capacity of the wind farm cluster. This invention is designed for large-scale wind turbine integration into the power system and can scientifically and accurately assess its capacity value.

This invention belongs to the field of triple mode redundancy (TMR) technology, and particularly relates to a selective TMR conversion method and system based on two-stage decoupling. The method includes acquiring the Verilog design code to be converted and parsing the circuit signals; calculating the dynamic activity of each circuit signal, dividing the circuit signals into critical and non-critical circuit signals, and forming a list of critical circuit signals; reading the list of critical circuit signals, traversing each assignment statement in the Verilog design code to be converted, and identifying whether the current circuit signal is a critical circuit signal; performing TMR operation on the identified critical circuit signals, and using logical assignment to make the replica signals track the original signals in real time for the identified non-critical circuit signals, thus completing the selective TMR conversion. This invention completely decouples the two stages of dynamic activity analysis of circuit signals and selective conversion of source code, and performs true / pseudo-TMR splitting processing.

The application discloses a kind of based on semantic guide's video frame processing method, system and storage medium, comprising: obtaining original video, obtains semantic guide text;The time position information of each frame is encoded after fusion with the visual features of this frame, form time sequence enhancement features, according to time sequence enhancement features to video frame grouping, select multiple representative and diversity key frames from pre-sampling frame;Multiple candidate local cropping regions are generated for selected key frame, the semantic similarity between each candidate region and semantic guide text is calculated respectively, and the candidate region with the highest similarity to semantic guide text is cropped out. Through the semantic perception of key frame selection in time dimension, and adaptive frame cropping in spatial dimension, the fine-grained refinement and alignment of video content are realized, thereby the performance of cross-modal text-video retrieval is significantly improved.

The application relates to the technical field of soil detection, in particular to a soil heavy metal pollution risk assessment method and system based on AI, which comprises the following steps: acquiring a first soil environment data set of an area to be evaluated and preset risk assessment standards; constructing a knowledge graph based on the first soil environment data set and the preset risk assessment standards; performing an evaluation operation on the area to be evaluated according to the knowledge graph and a preset pollution assessment model to obtain a risk assessment result, wherein the risk assessment result comprises key pollution factors; generating soil sampling points located on the area to be evaluated in combination with the key pollution factors and a preset active learning strategy; acquiring a second soil environment data set of the soil sampling points; and outputting a new risk assessment result according to the second soil environment data set, so that the problem that the soil sampling process is blind and it is difficult to improve the risk assessment precision is solved.

The invention discloses a regional environment anomaly monitoring method based on remote sensing inversion and deep learning, and relates to the technical field of environment monitoring application, and the method is characterized in that multi-source remote sensing data is integrated, three types of core environment data of atmosphere, water and soil are inverted after preprocessing, monitoring units are divided in a unified manner, and a global data matrix is constructed; three types of environment association feedback nodes are defined, an exception list is generated by calculating an environment exception potential index, and the traditional data scattering limitation is broken through. According to the method, high-priority monitoring units are screened, a'pollution source-pollution factor-sensitive node 'full-chain monitoring association link is constructed based on three rules, risk indexes are quantified to mark abnormities, resources are concentrated, and the monitoring accuracy is improved. Meanwhile, unprocessed units are marked as dynamic adjustment units, correction indexes are calculated in combination with multiple factors, the monitoring range is dynamically optimized, a closed-loop system is formed, static monitoring defects are avoided, and monitoring timeliness and perspectiveness are improved.

The application relates to a kind of electromechanical pipeline collaborative arrangement method and system, the center axis vector and minimum circumscribed cylinder of each pipeline are extracted;In the same leaf node or adjacent leaf node of octree, the nearest common perpendicular line segment distance between the center axis vector of any two pipelines is calculated, when the distance is less than or equal to the sum of the minimum circumscribed cylinder radius of two pipelines, it is judged that there is hard collision;For the pipeline with high priority or gravity slope constraint, a discretized directed distance field covering the pipeline safety distance is generated, and whether there is soft collision is judged by querying the field value of the directed distance field at the surface key point of other pipeline to be arranged;When hard collision or soft collision is identified, a layout cost function is constructed based on the collision type, the professional attribute of the pipeline and the estimated increase of pipe segment and pipe fitting to eliminate the collision;The layout cost function is used as the optimization objective, and its position is iteratively updated until all collisions are eliminated, and the three-dimensional model of the collaboratively arranged pipeline is output.

This application discloses a suitability testing method for ultrasonic machining of honeycomb core materials, belonging to the field of honeycomb core material machining technology. The suitability testing method includes: determining the critical conditions of the process based on material properties and quality requirements; establishing a mapping relationship between material parameters and cutting forces and inversely calculating the critical cutting force; subsequently calculating the motion state and impact force of the tool under ultrasonic vibration; and finally, determining whether ultrasonic machining can be used based on the comparison between tool displacement and material fracture limit, and impact force and critical cutting force. This application can quickly determine the suitability of ultrasonic machining for new material honeycomb core parts without requiring extensive trial cutting experiments, effectively saving time and costs, and improving the application efficiency and accuracy of parameter determination of ultrasonic processes.

This application belongs to the field of artificial intelligence technology and discloses a data acquisition method, system, and electronic device based on multi-dimensional intelligent evaluation. The method includes quantifying the acquired multi-dimensional performance indicators to obtain their respective health scores; constructing feature vectors corresponding to each of the multi-dimensional performance indicators based on the health scores; performing standardized preprocessing on the feature vectors, and then weighting and fusing the preprocessed feature vectors using learnable attention weights to obtain a fused feature vector; determining the anomaly probability using an intelligent anomaly detection model and the fused feature vector; and triggering trace acquisition when the anomaly probability exceeds an adaptive trigger threshold. This enables intelligent decision-making for trace data acquisition.

The application discloses a method and device for locating the cause of an undetermined state signal, electronic equipment and a medium, and relates to the technical field of computers. The method comprises the following steps: when a first signal of an undetermined state type appears in a simulation waveform, the simulation waveform is analyzed to obtain a driving relationship between signals in the simulation waveform; in the current signal tracking round, at least one driving signal of the first signal in the simulation waveform is determined based on the driving relationship; for each driving signal, it is judged whether the driving signal is a signal of an undetermined state type; when the driving signal is a signal of an undetermined state type, the next signal tracking round is entered, and the driving signal of the driving signal in the simulation waveform is determined again based on the driving relationship until the driving signal is a signal of a determined state type; and the cause of the appearance of the first signal in the simulation waveform is determined based on the driving signal of a determined state type in all signal tracking rounds. Through the application, the efficiency and accuracy of locating the cause of an undetermined state signal are improved.

This invention discloses a customer traffic prediction and dynamic resource allocation system for branch operations, comprising: a data acquisition module for collecting five types of structured data: time, business, customer, external environment, and policy drivers; a feature engineering module for classifying and labeling the collected data to form a high-quality feature set; a model training module that uses a fusion model of gradient boosting decision trees and extreme gradient boosting, dividing the model into training, validation, and test sets for training and optimization, and embedding a feature importance ranking mechanism; a traffic prediction module for inputting real-time data processed by feature engineering and outputting overall and business type-specific traffic prediction values ​​for a preset future time period; an attribution analysis module for locating core driving factors based on feature importance weights and generating an attribution report; and a resource allocation module for generating specific resource allocation plans based on the prediction results and core driving factors. This invention provides excellent support for customer traffic prediction and dynamic resource allocation in branch operations.

The invention relates to the technical field of brushless direct current motors, in particular to a heat dissipation and weight reduction collaborative optimization method for a rotor shell of a brushless direct current motor. The method comprises the following steps: determining the minimum allowable value of the thickness of the radiating rib according to the mechanical strength requirement and the processing technology feasibility of a rotor shell material; according to the total axial length of the rotor shell and the minimum allowable value of the thickness of the radiating ribs, the maximum number of the radiating ribs which can be arranged on the outer surface of the rotor shell is calculated; a plurality of radiating ribs are uniformly arranged on the outer surface of the rotor shell according to the maximum number and the minimum allowable thickness of the radiating ribs, so that the plane where the radiating ribs are located is perpendicular to the axis of the rotor shell; and the sharp edges of the heat dissipation ribs are blunted to obtain the rotor shell with the heat dissipation performance and the weight reduction performance cooperatively optimized. Through the characteristic that the sectional area of the rectangular-section radiating ribs is smaller under the same radiating area, the weight of the rotor shell is reduced on the premise that the radiating performance is not reduced, and meanwhile, the structural strength is ensured.

The application provides a big data-based alkali ore proportioning method and system, and relates to the technical field of data processing.The method comprises the following steps: constructing original sample data containing historical alkali ore proportioning data and corresponding performance index data, performing data cleaning and normalization processing on the original sample data to obtain training data; constructing a neural network model, training the neural network model by using the training data, optimizing network weights by using a back propagation algorithm, and obtaining the trained neural network model until a preset stop condition is met; obtaining a target performance index, inputting the target performance index into the trained neural network model, obtaining alkali ore proportioning data, and performing proportioning production according to the alkali ore proportioning data.The application can improve the accuracy of alkali ore proportioning.

The utility model relates to a kind of real-time monitoring and intelligent oxygen-increasing equipment of dissolved oxygen content in abalone culture pond, belong to abalone culture equipment technical field, including support plate, mounting plate, nano aerator, lifting plate, waterproof cylinder, air compressor, cleaning component and PLC control panel;Fixedly installed with the fixed rod of rectangular distribution in support plate lower end, fixedly installed with the guide rod of rectangular distribution in support plate upper end;Mounting plate is fixedly installed in guide rod upper end;Nano aerator is detachably installed between lifting plate by first screw;Waterproof cylinder is fixedly installed in mounting plate upper end both sides, air compressor is fixedly installed in mounting plate side, by cleaning component, nano aerator can be cleaned automatically regularly, during cleaning process, spray head is washed to nano aerator, while cleaning brush can brush the impurities adhered on surface, effectively prevent that nano aerator is blocked.

This invention discloses a multi-round iterative optimization control method for large language models based on a self-reflection mechanism, belonging to the field of large language model technology. The method includes: encoding user task constraints into structured memory; driving the model to generate initial text; automatically evaluating the generated text from multiple dimensions (logic, constraints, and facts) through an independent review module to generate a quantitative review report; automatically compiling correction instructions based on the review report; simultaneously, employing a hierarchical compression mechanism to manage historical dialogue context to stabilize computational overhead; and finally, achieving intelligent convergence of iterations by calculating the semantic differences and quality score change rate between adjacent iteration versions. This invention constructs a complete automated "generation-reflection-correction" closed loop, transferring over 80% of routine optimization work from manual to machine, greatly liberating productivity and significantly improving the generation quality and optimization efficiency of long texts and highly complex tasks.

The utility model belongs to the wet flue gas desulfurization technical field, concretely relates to a kind of intelligent purging device of mist eliminator differential pressure measuring pipeline, mist eliminator differential pressure measurement transmitter is communicated with mist eliminator high pressure pressure guide pipe, mist eliminator low pressure pressure guide pipe respectively, positive pressure side pipeline shut-off solenoid valve is set on mist eliminator high pressure pressure guide pipe, negative pressure side pipeline shut-off solenoid valve is set on mist eliminator low pressure pressure guide pipe, mist eliminator high pressure pressure guide pipe is connected with flow low switch by positive pressure side pipeline purging solenoid valve, mist eliminator low pressure pressure guide pipe is connected with flow low switch by negative pressure side pipeline purging solenoid valve, flow low switch is connected with compressed air pipeline by compressed air manual ball valve.The intelligent purging device of mist eliminator differential pressure measuring pipeline provided by the utility model is innovatively designed by hardware structure and intelligent control logic, effectively solve the problems, such as low degree of automation, sweeping strategy extensive, insufficient fault diagnosis capability etc.

This invention discloses an intelligent collaborative power generation, grid, load, and energy storage operation and management system, belonging to the field of power generation, grid, load, and energy storage management technology. It involves numbering and collecting information from power stations within a monitoring area, dividing the monitoring time period into time segments, analyzing the power supply volume of power stations within each time segment to predict the relationship between the power supply capacity and demand of each power station, establishing a power dispatch circle centered on the power station, analyzing the overall support capacity of the power dispatch circle for power stations with insufficient power supply capacity, issuing power shortage warnings based on trigger conditions, analyzing the overall status of power stations within the power dispatch circle when the power dispatch circle provides sufficient support, considering the number of power stations with insufficient power supply capacity, and providing suggestions for establishing new power stations, and providing energy storage locations and new power station construction locations when it is determined that the power dispatch circle needs to establish new power stations. This invention efficiently utilizes existing power resources through real-time analysis of supply and demand matching and support dispatch.

This application discloses a condition-based maintenance method and system for key shafting equipment in combined cycle power units, relating to the field of combined cycle power plant technology. The method includes: synchronously collecting multi-source operating parameters of the shafting equipment; extracting multi-dimensional features from the multi-source operating parameters and outputting equipment health status results; constructing an equipment health index model and using an improved grey relational analysis method incorporating a joint trigger correction factor to determine the weights of the multi-dimensional features; constructing a digital twin model, using the quantified health index and the weights of the multi-dimensional features as input parameters to predict the remaining lifespan of the shafting equipment; and obtaining a health status early warning mechanism for the shafting equipment based on the relationship between the predicted remaining lifespan and a preset threshold. This solution enables quantitative assessment of equipment health status and accurate prediction of remaining lifespan, effectively avoiding the blindness of traditional periodic maintenance.

This invention relates to the field of offshore wind power. To improve the design efficiency of initial design schemes for semi-submersible floating platforms, it provides an initial design method based on the main dimensional parameters of the semi-submersible floating wind turbine platform. This method comprehensively considers three aspects: the calculation formulas for the motion characteristics of the floating body (including stability, heave natural period, and roll / pitch natural period), the response requirements of the floating body according to DNV specifications, and design experience parameters. These physical problems are transformed into mathematical problems, resulting in a set of inequalities containing the main dimensional parameters of the semi-submersible floating platform. By solving these inequalities, the design values ​​of each parameter are obtained. This method only requires basic information such as the weight of the platform's superstructure and the maximum overturning moment to obtain an initial design scheme for a semi-submersible floating wind turbine platform that meets specifications and is relatively reasonable in terms of structural dimensions, facilitating subsequent optimization. The design process does not require 3D modeling and hydrodynamic simulation, resulting in higher design efficiency.

This invention relates to the field of power generation forecasting technology, specifically to a power generation forecasting method and system based on multimodal data fusion. The method includes: constructing a power generation forecasting model based on multimodal data; using the power generation forecasting model to predict power generation at a specific future time scale to output power generation forecast data; and calculating prediction deviation data by combining actual power generation data; decomposing and quantifying the prediction deviation data based on the degree of influence on the power generation deviation to obtain dispatch strategy deviation, equipment availability deviation, meteorological forecast deviation, and model inherent deviation; optimizing the parameters of the power generation forecasting model based on at least one of the dispatch strategy deviation, equipment availability deviation, meteorological forecast deviation, and model inherent deviation to obtain an optimized power generation forecasting model; and predicting power generation at a specific future time scale in the next stage based on the optimized power generation forecasting model, thereby continuously improving the accuracy and stability of power generation forecasting.

This invention relates to the field of production line automation technology, and particularly to an integrated die-casting workshop robot energy-saving prediction and analysis method, device, equipment, and storage medium. This method predicts production line energy consumption and identifies energy-saving potential ranges by comprehensively analyzing production plans and real-time operating data. Simultaneously, it intelligently generates differentiated production line hibernation strategies by combining equipment status data. Finally, by optimizing and integrating energy-saving potential and hibernation strategies, an optimal hibernation scheme that balances efficiency and energy saving is formed. This scheme constitutes a complete closed loop from prediction and evaluation to optimized execution, making energy-saving decisions forward-looking and avoiding blind decisions. By comprehensively considering the differentiated hibernation strategies generated from equipment status, the feasibility of the strategies and equipment safety are ensured. Therefore, this method can significantly improve energy utilization efficiency and reduce ineffective energy consumption without affecting production plans, thereby achieving precise and intelligent energy saving and consumption reduction.

This invention discloses a method for anti-interference and control locking of non-contact interaction in public spaces based on spatiotemporal dual-stream feature fusion, belonging to the field of extended reality and human-computer interaction technology. Addressing the problems of interaction focus conflicts and control confusion caused by multiple user gesture intrusions in public spaces, as well as the inability of single-modal recognition to distinguish continuous interaction intentions and poor anti-interference performance, this invention adopts a spatiotemporal dual-stream feature fusion architecture: Bi-GRU is used to evaluate the temporal continuity of hand skeletons, VGG16 extracts spatial hierarchical features from the depth map, and MLP is used to calculate the legality score of interaction intentions, achieving control arbitration and interference data shielding. This invention can lock the initial master user's gesture data stream and filter interference targets at the lower level, making it suitable for XR holographic display of cultural relics in public spaces such as museums and science and technology museums, ensuring stable and continuous non-contact gesture interaction.

The invention belongs to the technical field of blast furnace ironmaking, and particularly discloses a blow-out load design and heat balance control method suitable for a hydrogen-rich carbon circulation oxygen blast furnace. According to the method, aiming at the in-furnace heat income and expenditure characteristic change caused by high-temperature decarburized coal gas injection and high furnace burden metallization ratio in a HyCROF process, a furnace shutdown load decision model based on a basic furnace temperature is established, a sectional type furnace shutdown material change list is designed, heat balance and water drawing amount are verified in real time, and a dynamic adjustment mechanism is established. And precise design of furnace shutdown load and closed-loop control of heat balance are realized. According to the method, the problems of excessive heat, out-of-control top temperature and the like which are easily caused when the traditional blast furnace shutdown load design is applied to the HyCROF blast furnace are solved, the coke consumption is reduced and the shutdown cost is reduced while the safe and smooth shutdown is ensured, and the unification of safety, high efficiency and economy is realized.

This invention discloses a multi-source low-oxygen heat pump device for fruits and vegetables and its usage method, belonging to the field of fruit and vegetable drying technology. The device includes a multi-source gas supply system, a low-oxygen drying chamber, a heat pump temperature and humidity control system, an online weighing system, a material morphology detection system, and an intelligent control system. The multi-source gas supply system injects nitrogen, carbon dioxide, and air. The intelligent control system calculates the drying rate and shrinkage rate based on data from various sensors, dynamically adjusting the gas composition and the temperature and humidity inside the chamber to maintain an oxygen concentration of 1-11%, a temperature of 30-70℃, and a relative humidity of 10-40%. This invention enables precise and coordinated control of the fruit and vegetable drying process, mainly used for drying leafy vegetables and fruits, reducing oxidative deterioration and shrinkage, and improving drying quality.

This application discloses a photovoltaic-driven soil moisture feedback irrigation device, comprising: a main body, a water storage tank, an electrical box, a photovoltaic module, and a sprinkler assembly. The photovoltaic module is installed on the top of the main body. The electrical box and the water storage tank are sequentially arranged on the main body and located below the photovoltaic module. The sprinkler assembly is disposed on the outer peripheral wall of the water storage tank and connected to the interior of the water storage tank. The electrical box contains a control component for the photovoltaic module. The bottom of the main body is conical and is equipped with a humidity sensor for detecting soil moisture. The humidity sensor is electrically connected to the control component, and the control component is electrically connected to the sprinkler assembly to control the sprinkler assembly to start spraying water. This device can adaptively adjust the spray volume according to the soil moisture conditions to achieve a reasonable irrigation effect.

This invention belongs to the field of molecular biology and drug screening technology, and provides a method for screening capsaicin targeting SOCS5-RBMX protein interactions and its application. The method involves analyzing the structure of the SOCS5-RBMX protein complex to determine the SOCS5-RBMX binding domain and key binding sites; verifying the inhibitory effect on protein binding through point mutations at these key sites; identifying the binding pocket; using drugs from the ZINC22 small molecule drug database and FDA-approved drugs as ligand molecules, and performing virtual screening with the binding pocket as the docking region to obtain compounds; screening the obtained compounds using AMDET to identify capsaicin as the drug inhibiting SOCS5-RBMX binding; and further screening and verification using capsaicin in in vivo and in vitro experiments. This invention, through the analysis of the SOCS5-RBMX protein complex structure to determine the binding domain and key sites, and then using this as a basis for virtual screening and experimental verification, can accurately screen for drugs inhibiting SOCS5-RBMX binding, improving the accuracy and efficiency of drug screening.

This utility model discloses a dust removal and slag discharge system for a variable-diameter reaming shaft tunneling machine. The technical problem it addresses is how to control dust during slag discharge from the reaming shaft tunneling machine. The dust removal and slag discharge system includes a dust removal unit for removing dust from the slag in the slag chamber, a sealing curtain for separating the slag chamber from the main transport tunnel, and a slag conveying unit for transporting the slag from the slag chamber through the sealing curtain to the main transport tunnel. The sealing curtain in this technical solution separates the slag chamber from the main transport tunnel, preventing dust from the slag chamber from spreading to the main transport tunnel. The dust removal unit directly removes dust from the slag in the slag chamber, and the slag in the slag chamber can be transported to the main transport tunnel by the slag conveying unit, and then transported out by the slag removal equipment, greatly improving the construction environment.

This invention discloses a bolt loosening detection method and system based on UAVs and multimodal analysis, belonging to the field of structural health monitoring technology. It includes acquiring structural data of towers to construct a three-dimensional virtual mapping and performing simulation to dynamically generate inspection tracks for the UAV; the UAV simultaneously collects high-definition video and sound field data of the bolts based on the tracks, forming a multimodal data stream; calculations are performed by fusing visual and acoustic features to output quantitative diagnostic results; an active verification process is initiated for abnormal or poorly quality results to obtain supplementary data for correction and form a final diagnosis; a detection report is generated based on the final diagnostic data, constructing a full lifecycle health record. This invention adopts a technical solution combining three-dimensional task planning, multimodal fusion diagnosis, active verification and correction, and full lifecycle management, which can improve detection accuracy and efficiency while achieving dynamic assessment and trend prediction of the health status of bolt components.

This invention discloses a liquid-phase probe-targeted capture library construction method and kit for enteroviruses, belonging to the field of virus detection technology. This invention combines targeted enrichment with high-throughput sequencing, featuring broad coverage, high flexibility, high sensitivity, and high specificity, enabling multi-dimensional information output including quantitative, qualitative, and in-depth analysis. Through the probe-targeted capture "enrichment-screening" mechanism, this invention reduces probe redundancy design, minimizes background nucleic acid interference from intestinal flora, exhibits excellent adaptability to complex samples, and eliminates the need for complex sample pretreatment, making it suitable for large-scale epidemiological detection.