31results about How to "Lower the threshold" patented technology

This utility model discloses an easy-to-install duplexer, belonging to the field of duplexer technology, aiming to solve the problem of the extremely difficult disassembly process when the duplexer needs maintenance due to equipment failure in existing technologies. It includes a duplexer body and a mounting plate. The mounting plate is located at the bottom of the duplexer body, and a connecting block protrudes from the bottom of the duplexer body. The connecting block is detachably connected to the mounting plate. An installation hole is opened inside the mounting plate near the side, and a drive rod is slidably installed in the installation hole. A drive block is fixed to the portion of the drive rod located deep within the installation hole, and a first spring is installed on the drive block, which is fixedly connected to the inner wall of the installation hole. A pressing block is fixedly connected to the rod body portion of the drive rod located inside the installation hole. A movable block is provided on the sliding path of the pressing block, and a locking rod is fixedly connected to the other side of the movable block. This easy-to-install duplexer eliminates the need for complex professional tools, reducing the difficulty and threshold of installation.

The application discloses an internet hospital hierarchical diagnosis and treatment and resource scheduling method and system, the method comprises the following steps: in response to the diagnosis and treatment request sent by the user, obtaining the diagnosis and treatment data containing the patient's complaint information; inputting the diagnosis and treatment data into the disease assessment model for feature extraction, and outputting a feature vector representing the patient's disease state; the feature vector at least includes a first dimension parameter representing the emergency degree of the disease and a second dimension parameter representing the complexity of the disease; based on the feature vector, determine the target resource node in the hierarchical medical resource database; according to the target resource node, generate a resource scheduling instruction, and establish a communication link between the user terminal and the corresponding server of the target resource node. The application introduces a two-dimensional evaluation system of emergency degree and complexity, combines a dynamic threshold adjustment mechanism based on supply and demand prediction, and significantly improves the utilization efficiency of medical resources and the accuracy of diagnosis matching.

This invention relates to the fields of computer data processing and database technology, specifically to an intelligent search system for business objects based on metadata. The system includes: a context request parsing module: receiving abstract search requests and extracting environment parameters and permission features to generate a dynamic context snapshot; a logical structure construction module: combining snapshot execution rule injection operations to generate a logical abstract syntax tree containing implicit filtering conditions; a multi-dialect compilation and execution module: translating the syntax tree into physical execution statements matching the target storage engine dialect according to physical mapping rules; and an adaptive optimization feedback module: monitoring execution latency data and dynamically correcting the index strategy definition. This invention solves the maintenance bottleneck caused by the tight coupling between business logic and physical storage in heterogeneous data source environments, achieving zero-code modification and hot deployment of business logic.

The application discloses a kind of multi-micronet robust game optimization scheduling method and system based on dynamic auction official algorithm, and relates to energy system scheduling and optimization technical field.The method constructs system physical model and double-layer robust optimization model based on Stackelberg master-slave game, upper layer maximizes system operator's profit to formulate price signal, lower layer maximizes the worst scenario income of multi-micronet alliance to optimize resource scheduling, combined with multiple constraint conditions, Stackelberg equilibrium is solved iteratively using dynamic auction official algorithm.The application converges to global optimal solution quickly through three-dimensional hybrid driving price updating mechanism, realizes system economic benefit maximization, operation robust and reliable, and has good explainability and practical application value.

This invention relates to a method for seamless welding of multi-cavity profiles and integrated molding of sound insulation layers, as well as a door and window frame. It belongs to the field of building door and window profile processing and manufacturing technology. By moving the injection of the sound insulation composite material before welding, pre-injection is completed when the profile cavity ports are open, solving the problem of material not flowing into the closed corner area and resulting in missing corner sound insulation filling in existing post-injection processes. By applying a heat-activated protective film to the welding end face and implementing a staged heating and pressurization process, the flow homogenization conditions of the molten material on the outer surface are improved, effectively reducing the width of the white weld seam at the corner. By selecting a sound insulation material system with a final curing temperature matching the welding residual heat temperature range, the residual heat during the natural cooling process of the corner after welding drives the final curing of the material, merging the welding process and the sound insulation layer molding process. No structural modifications to existing welding equipment are required, making it easy to promote and apply under existing production conditions.

This invention discloses a power adapter, controller, electric valve device, and irrigation and fertilization system. The adapter housing is suitable for installation in the power supply mounting cavity. The power adapter includes an adapter unit comprising a circuit board, a connector, a first electrode plate, and a second electrode plate. The circuit board is installed inside the adapter housing. The connector, the first electrode plate, and the second electrode plate are electrically connected to the circuit board. Of the first and second electrode plates, one is adapted to contact the positive terminal of the controller, and the other is adapted to contact the negative terminal of the controller. The connector is adapted to interface with an external power source. Based on this solution, the power adapter can directly utilize mains power or photovoltaic panel power, enabling unlimited cycle operation and completely overcoming the problems of poor battery life and high maintenance costs.

This invention belongs to the field of power electronics and DC power system protection technology, specifically relating to a boost converter topology and control method. The structure includes: a power supply and a boost inductor L. boost Main switch tube Q 1. Converter circuit breaker Q conv capacitor circuit breaker Q cap The components include a first resistor R1, a second resistor R2, a load resistor R3, a first capacitor C1, a second capacitor C2, a third capacitor C3, a first diode Dsnub1, a second diode Dsnub2, a varistor MOV, and a line inductor Lline. This invention can replace traditional DC circuit breakers, improving system operating efficiency and protection performance. It can interrupt the discharge current of the DC bus capacitor in microseconds and safely release the inductor's stored energy in milliseconds, avoiding voltage overshoot in semiconductor devices and effectively improving the safety and reliability of the DC power grid.

This invention provides a method for calculating the optimal time for rolling up greenhouse curtains. The method includes the following steps: calculating the solar altitude angle h for a given region, date, and time; obtaining the temperature equilibrium time point inside the greenhouse during winter; calculating the solar altitude angle h of the temperature equilibrium point inside the greenhouse on different dates during winter; and calculating the optimal curtain-rolling time T for different dates in the given region during winter. The method provided by this invention has the advantage of being able to calculate the optimal curtain-rolling time for greenhouses on different dates and in different geographical locations during winter without relying on complex sensors inside the greenhouse, by integrating geographical information, astronomical parameters, and historical observation data. This improves the utilization of climate resources and effectively mitigates meteorological disasters in facility agriculture.

The application discloses a game optimization solving method for plug-in electric vehicle charging problems, comprising the following steps: constructing an intelligent charging station business scenario model and a cost function of a plug-in electric vehicle; obtaining a joint strategy vector through a charging strategy and performing variable replacement to obtain initial linear constraints of the charging strategy; based on the initial linear constraints, constructing F(x) according to the cost function and the joint strategy vector; evaluating individuals in a genetic algorithm population through F(x) to obtain elite individuals; performing local search on the elite individuals through a cosine annealing algorithm and a particle swarm optimization algorithm, and forming a next generation population with new individuals obtained through selection, crossover and mutation, and iterating, outputting a population individual with F(x) closest to 0, and restoring the population individual to a charging strategy of the plug-in electric vehicle through variable replacement. The application converges to Nash equilibrium quickly under a large-scale PEV scenario, and avoids dependence of traditional methods on convexity and continuous differentiability.

This invention discloses an AI-based picture book generation and reading method, device, and terminal based on a large-scale model, relating to the application of artificial intelligence in children's education. The method includes: acquiring the story content of the picture book to be generated; intelligently parsing the story content using natural language processing technology to extract key information; generating a text story matching the story content using a pre-trained large-scale model based on the parsed key information; generating illustrations matching the text story using the large-scale model based on the generated text story; integrating the generated text story and matching illustrations to generate and display a complete picture book story; and automatically playing and reading the generated picture book story using speech synthesis technology. This invention has the advantages of efficiently and conveniently generating high-quality, personalized picture book stories and automatically reading them aloud.

The application provides a method for removing impurity elements sulfur and oxygen in scrap steel electric furnace smelting, which comprises the following steps: electric furnace smelting under the protection of refining protective slag, wherein, during smelting, desulfurization is firstly performed, and then deoxidation is performed to obtain a product, the smelting temperature is 1673-1923K; the refining slag is selected from CaO-Al2O3-SiO2-MgO system slag, CaO in the refining slag is 58-65wt%, SiO2 is 8.5-11wt%, and CaO / SiO2 is 5.8-6.4. The application removes the impurity element sulfur in scrap steel through the designed refining slag, improves the purity of scrap steel through the combined use of special amount and special type of deoxidizer A and deoxidizer B, and provides guarantee for realizing the recycling of scrap steel; the impurity elements sulfur and oxygen in scrap steel are effectively removed, the requirements of producing high-quality steel with impurity elements are met, and the recycling of scrap steel resources is realized.

This invention discloses an auxiliary device and method for wooden formwork operation in the field of building construction technology, comprising: an adsorption tool for grabbing or placing wooden formwork; an Internet of Things (IoT) unit connected to the formwork for recording the identity information of the wooden formwork; the adsorption tool and the IoT unit are combined or separated through a foolproof structure, the foolproof structure having a sensing unit that identifies the identity information of the wooden formwork when combined with the IoT unit, and records and uploads the current location information when separated; the adsorption tool includes a navigation unit for navigating to the next usage location according to the current location information of the wooden formwork, capable of moving the wooden formwork and reading and writing the formwork's identity, size, location and other related information, guiding operators to accurately and efficiently place non-standard formwork in the correct position, quickly find specific formwork, guide operators to accurately and efficiently install formwork, and increase the management and execution detail of wooden formwork installation operations.

This invention discloses a method, system, and medium for predicting and controlling the normalized microstructure of oriented electrical steel based on a multilayer perceptron deep learning network and cellular automata. It takes two-dimensional normalized process parameters as input and ODF slice images as output. A cellular automata model driven by physical mechanisms generates virtual labeled data of "(t,T)-ODF" in batches within a preset process design space, constructing a dataset. Then, a deep learning surrogate model is used to achieve an end-to-end nonlinear mapping from the two-dimensional normalized process parameters to the ODF slice images, thereby achieving rapid prediction and visualization of the normalized microstructure without repeatedly calling the cellular automata model. This invention solves the key challenge of balancing prediction speed, structural accuracy, and inversion design capabilities within an extremely short process window.

This invention relates to the field of computer-aided diagnostic technology, and provides a method for constructing an intelligent pathological auxiliary diagnostic model for lipomas based on weakly supervised learning. The method includes acquiring several whole-slice images of lipomas; preprocessing the whole-slice images; constructing a structured square image patch dataset suitable for weakly supervised learning; classifying and storing the images according to their dataset and pathological label categories in a structured text index file; constructing a lightweight ViT model as the core network architecture, serializing and embedding the square image patches, learning features through a multi-layer self-attention mechanism, and connecting them to a global pooling classification head to form a weakly supervised diagnostic model that relies on image-level labels for end-to-end training; and applying weakly supervised training strategies and optimizations to the weakly supervised diagnostic model to achieve an interpretable intelligent diagnostic system for lipomas. This invention constructs an end-to-end solution suitable for weakly supervised learning of pathological images.

This application provides an adaptive blockchain notarization method, system, blockchain gateway device, and computer program product for IoT data. The main components include: receiving raw data transmitted from IoT devices; calculating the notarization value score of the raw data based on at least two of the following: risk deviation index, event scarcity index, device reputation weight index, and service interruption indication index; periodically acquiring the operating status parameters of the blockchain network and calculating the current congestion index based on the operating status parameters; calculating a rapid notarization threshold and an aggregated notarization threshold based on the current congestion index; and performing the following diversion processing on the raw data according to the relationship between the notarization value score and the rapid notarization threshold and the aggregated notarization threshold, respectively, to complete the notarization of data transmitted by IoT devices, achieving adaptive resource optimization and timely protection of critical data.

This invention discloses a system, method, terminal, and medium for implementing optical nonlinear activation functions. The system includes: a first conductive substrate for applying a voltage; a second conductive substrate disposed opposite to the first conductive substrate and forming a sealed cavity between them; a two-dimensional material thin film with third-order nonlinear optical effects, electrically connected to the first conductive substrate on its inner surface facing the cavity, generating a nonlinear saturated absorption effect under light irradiation, and dynamically adjusting the nonlinear optical parameters by changing the end-group state of the two-dimensional material thin film surface in response to an electric field; an electrolyte located within the cavity and in contact with the two-dimensional material thin film; and an auxiliary electrode for applying a voltage and establishing an electric field acting on the two-dimensional material thin film with the first conductive substrate. This invention obtains a reconfigurable nonlinear activation function by changing the end-group state of the two-dimensional material thin film surface to adjust the nonlinear optical parameters, achieving flexible threshold control and rapid response in optical neural networks.

This invention discloses a method for improving the robustness of static source code analysis tools, comprising the following steps: Step 1, designing a robust compilation front-end; Step 2, designing a syntax transpiler; Step 3, improving the robustness of the original analysis tool; Step 4, adding zero configuration; In step 1.2, the lexical parsing module reserves the nextToken interface for subclasses to implement; This invention generates an AST by implementing a robust compilation front-end and transpiles the AST into the AST of the original analysis tool, reusing the code analysis capabilities of existing analysis tools. The compilation front-end has a built-in extensible preprocessing module, strong compilation error recovery capabilities, and strong extensibility, which can ensure the robustness of the analysis tool while reusing existing code assets. Under the analysis conditions of incomplete configuration of the tested software, it can still give accurate analysis results, lowering the threshold for users of static analysis tools and improving the user experience of the tool.

The application relates to the technical field of inorganic chemical synthesis, in particular to a sodium carbonate preparation method based on ternary synthesis technology. The method takes sodium chloride, liquid ammonia and carbon dioxide as ternary raw materials, and through a'segmented carbonization-gradient temperature control crystallization-CO2 closed loop recovery-mother liquor optimization treatment' synergistic process, first, uniform crystal nuclei are induced through low-temperature pre-carbonization, then, sufficient reaction is promoted through medium-temperature deep carbonization, and the crystal structure is optimized by combining gradient cooling crystallization and aging, and the efficient recycling of carbon, ammonia and salt resources is realized. The application improves the carbon dioxide utilization rate and the product purity, optimizes the crystal particle size uniformity, reduces the energy consumption and the environmental protection load, the process is stable and easy to control, and has strong industrialization adaptability, and the obtained sodium carbonate can meet the strict requirements in the fields such as food processing, and has economic and environmental benefits.

This application discloses a process modeling method and system based on natural language dialogue. The method includes: receiving textual descriptions of a business process from a user; identifying process element information in the textual description using natural language processing technology, and initiating supplementary queries to the user based on a preset multi-dimensional guidance framework to obtain missing information; mapping the textual description and supplementary information to a process meta-model with a custom description structure using a pre-trained language model; the pre-trained language model adopts a large language model with context processing capabilities, and establishes a fixed mapping relationship between the natural language description and the process meta-model through customized prompt word templates; performing double verification and error correction on the configuration data of the process meta-model; and outputting a standardized process file conforming to a preset format specification. This application can improve the accuracy and reliability of process modeling and adapt to complex and ever-changing business scenarios.

The present disclosure provides a video processing method and device, electronic equipment and storage medium, belonging to the field of multimedia technology. The method comprises: in response to a video generation instruction for an article, displaying, in a video interface, a video generated based on a plurality of article images and article description text of the article, the plurality of article images and the article description text being generated by an artificial intelligence model based on a single reference image and detail information of the article, the plurality of article images being used to show the article from different angles or scenes, and the article description text being used to describe the characteristics of the article; and in response to a release instruction for the video, releasing the video. The above method not only can show the characteristics of the article in detail, but also solves the problem of lack of materials for the article, without the need for manual shooting of materials and editing of videos, effectively reducing the threshold for video generation, improving the video generation efficiency and release efficiency, and helping to improve the conversion rate of the article.

This invention relates to the interdisciplinary fields of biomedical engineering, artificial intelligence, and neuromodulation, and provides a cognitive fatigue assessment and electrical stimulation intervention system based on a combined EEG-behavioral AI model. The system includes: a data acquisition and preprocessing module for simultaneously acquiring and preprocessing the user's EEG signals and behavioral data; a real-time fatigue assessment module for extracting and fusing features from the preprocessed EEG signals and behavioral data using the combined AI model, outputting the user's real-time fatigue assessment results; the combined AI model is constructed based on the Transduction Information Maximization (TIM) algorithm to achieve cognitive fatigue assessment in scenarios with few samples; and a closed-loop electrical stimulation intervention module for dynamically adjusting transcranial electrical stimulation parameters and performing targeted intervention based on the real-time fatigue assessment results. This invention achieves real-time, accurate detection and personalized targeted intervention of cognitive fatigue states through multimodal data fusion and closed-loop intervention.

This invention discloses an adaptive test case generation method and system based on reinforcement learning, belonging to the field of intelligent testing system technology. It aims to solve the problems of poor adaptability, low quality, difficulty in dynamic optimization, and insufficient integration with the development process in test case generation. The method acquires heterogeneous data from multiple sources, such as requirement documents and source code, and extracts semantic, structural, and historical pattern features through graph neural networks and data mining, fusing them to generate an environment state vector. An actor-critic framework is adopted to output test action decision vectors. After executing test cases, rewards are calculated through a multi-objective composite reward function, and agent parameters are updated using a priority experience replay mechanism. Rapid initialization of the new system is achieved through pre-trained model parameter fusion, and a redundant test case set is constructed and prioritized through clustering. This invention improves the relevance and efficiency of test cases, enhances system adaptability, and can be widely applied to software automated testing scenarios.

The present application belongs to the technical field of quantum communication, and particularly relates to a QKD remote key distribution method, system, device and medium based on a PQC channel. In view of the fact that the prior art fails to coordinate performance overhead and risk exposure, the present application adopts the following technical solution: a QKD remote key distribution method based on a PQC channel, comprising: pre-storing a parent key in a service end in a hardware security module; establishing a temporary, forward-secure, anti-quantum-attack PQC authentication key exchange channel between a client and the service end, the service end performing identity authentication by using a standard PQC digital signature, and the client indirectly implementing identity authentication of the service end through a key encapsulation mechanism; the remotely distributed key is a one-time business key; and the business keys are used for encrypted communication between clients. The present application has the beneficial effect of resolving the contradiction between performance overhead and risk exposure through an asymmetric authentication protocol and a strict risk isolation architecture.

This invention discloses a surgical robot and a method for inserting an endoscope into the surgical robot. The robot includes an outer tube with a channel for accommodating an endoscope. The endoscope is detachably connected to the outer tube. The surgical robot also includes a connecting part, which is positioned corresponding to the channel. One end of the connecting part is connected to the outer tube, and the other end is used to connect to the endoscope. When the endoscope and the outer tube are connected via the connecting part, both the endoscope and the outer tube can be operated by the same person. By using the connecting part, when using a separate outer tube and endoscope, an additional assistant is no longer needed to hold the endoscope. Compared to operating the endoscope and outer tube by different personnel, when operated by the same person, the endoscope and outer tube work together to keep the target position within the line of sight, avoiding unexpected movements such as lens shake, twisting, and shifting that may occur when an assistant holds the endoscope, thus reducing the difficulty and threshold of diagnosis and treatment.

This invention relates to a multi-agent teaching video construction method based on code mediation, comprising: S1: acquiring teaching intention input and generating a layered teaching script; using an agent chain framework combined with a cognitive load balancing algorithm, dividing the layered teaching script into page-level unit sequences; S2: converting the page-level unit sequences into executable visual code through a code generation agent; S3: calling a multimedia fusion module to perform closed-loop quality verification and self-repair on the executable visual code, wherein the closed-loop quality verification includes at least audio-visual synchronization calibration, code logic self-healing, and visual layout conflict detection; S4: rendering the repaired executable visual code into a video stream and merging it with the synthesized audio stream to output the final teaching video. The code script of the executable visual code provides educators with a structured editing interface, allowing fine-tuning of video content to be completed simply by modifying parameters, without the need for retraining or large-scale model running.

This invention discloses an image data annotation method based on artificial intelligence, relating to the fields of computer vision and machine learning. It includes the following steps: S1 Model initialization step; S2 Intelligent pre-annotation and selection step; S3 Human-machine collaborative correction step; S4 Model iterative update step; S5 Closed-loop feedback step. This invention significantly improves efficiency: intelligent pre-annotation avoids manual annotation from scratch, and utilizes an active learning strategy to maximize the value of human intervention, increasing overall annotation efficiency by more than 50%. Dynamic quality improvement: the closed-loop iteration mechanism allows the model to continuously learn from human feedback, and the pre-annotation quality continuously improves with each iteration, forming a self-reinforcing virtuous cycle.

This invention belongs to the field of agricultural machinery operation scheduling technology, specifically involving an agricultural machinery operation scheduling method, system, equipment, and medium based on EDIM and NMPD, which can balance uncertainty modeling, high-quality scheduling solution capabilities, and engineering feasibility. This invention achieves a dynamic adaptive balance between global exploration and local development through the directional guidance of the EDIM mechanism and the multi-level neighborhood mining of the NMPD mechanism, effectively avoiding premature convergence. This allows for the generation of scheduling schemes with significantly shorter total travel distances in various real-world farmland scenarios, resulting in a significant improvement in operational efficiency. The system of this invention, by integrating the core optimization engine of the aforementioned scheduling method, can automatically process large-scale farmland and agricultural machinery data and output high-quality scheduling schemes with low empty-running rates.

The invention discloses a rock slag simulation experiment platform and method based on multi-sensor fusion, the platform comprises a belt conveyor U-shaped support frame and multiple sensors, and the multiple sensors comprise an industrial camera, a laser radar, an illumination sensor and a temperature and humidity sensor; the method comprises the following steps: 1, simulating the actual slag conveying working condition of the TBM; 2, acquiring simulated rock slag; 3, synchronously acquiring simulated rock slag images and point cloud data; 4, based on the simulated rock slag image and the point cloud data, obtaining a simulated rock slag volume and a simulated rock slag area contour; and 5, establishing a correlation database of double thresholds of lithology, water content, rock slag state, reflection intensity and saturation. The method is reasonable in design, simulates the actual slag conveying working condition of the TBM, obtains the volume and the contour shape of the simulated rock slag, establishes a correlation database of the lithology, the water content, the rock slag state, the reflection intensity and the saturation, is conveniently applied to the TBM tunneling process subsequently, and provides a basis for TBM tunneling parameter optimization.

This invention discloses a livestock point cloud segmentation and denoising method based on adaptive parameter Hough transform. The method involves acquiring livestock point cloud data, preprocessing the point cloud data to obtain two point cloud datasets containing livestock and fences on one side, extracting feature vectors from the point cloud data, inputting these feature vectors into an adaptive Hough transform parameter model for fence detection to obtain potential fence lines, using these fence lines as a reference for denoising and segmenting the livestock point cloud to obtain a one-sided livestock point cloud, and finally performing point cloud registration to output a complete livestock point cloud. This invention constructs a parameter adaptive model based on a limited amount of labeled data, employs transfer learning and few-shot learning techniques to address the problem of scarce labeled data, establishes a nonlinear mapping from the point cloud feature space to the Hough parameter space, and adapts to adaptive parameter adjustments for different scenarios.

This invention discloses a method and system for constructing dynamic data across the entire supply chain in the securities business field. The method includes screening key information of the tested system, finding correlations, building and executing a visualized full-chain data construction model, and switching dynamic parameters-driven modes. After data security processing and a data sharing platform, the final result is a data construction method and system coupled with business operations. In the data simulation application of securities business-related systems, dynamic data construction is achieved by calling individual atoms or full-chain scenario integration functions in the model. The construction results are then used in real time to serve upstream and downstream full-chain system applications. This invention exhibits outstanding performance in terms of efficiency, accuracy, flexibility, and reusability, and has been widely applied in multiple fields.