64results about How to "Fine granularity" patented technology

The invention relates to the technical field of multi-agent systems, and discloses a multi-agent and multi-mode alignment interaction method and system for a review scene, and the method comprises the steps: mapping real-time multi-mode data into a local belief vector through a heterogeneous agent cluster, and calculating the spatial divergence to determine a global cognitive entropy; interaction time sequence gating logic based on entropy flow differential is established, and active alignment is triggered when the global cognitive entropy is larger than a convergence threshold value and a first-order derivative is smaller than a damping threshold value; according to the method, through entropy flow differential control and an active semantic disturbance closed loop, decision oscillation of the multi-agent system in the non-cooperative environment is eliminated, and the reliability of the multi-agent system in the non-cooperative environment is improved. Mathematical convergence of the belief state in an adversarial disguise scene is realized, and the system identification precision in a complex interactive game is improved.

The application discloses a kind of emotion evaluation and intervention method and system based on multi-modal data.Through terminal synchronous acquisition voice, face, screen tremor and so on multi-modal data;Reaction mode vector is generated based on context information and data verification fusion;The composite emotional state of user is determined using emotional emergence model.At the same time, personalized emotional causal diagram is constructed and updated, and the enhanced state vector is generated by extracting key causal path features.The vector is input into the intervention agent to output intervention actions;After execution, the emotional state is evaluated again and the reward is calculated, and the system model is updated online.The application realizes accurate emotion evaluation and closed-loop adaptive intervention that strikes the root.

The utility model discloses a vanadium removal device for a sodium aluminate solution, which belongs to the technical field of vanadium removal, and comprises a dissolving tank, a solution pump, a settling tank and a stirring component, the stirring component is arranged in the dissolving tank, the top of the dissolving tank is respectively connected with a feeding pipe for supplying the sodium aluminate solution and a feeding pipe for feeding dry vanadium, a bottom outlet of the dissolving tank is connected with a settling tank through a conveying pipe, and a solution pump is mounted on the conveying pipe. The device has the beneficial effects that a sodium aluminate solution to be treated is fed into the dissolving tank and can be stirred by the stirring assembly after being added with dry vanadium, and then the fully stirred solution can be fed into the settling tank under the action of the solution pump to crystallize and settle the vanadium, so that the vanadium is removed, and meanwhile, the quality of the sodium aluminate solution is improved. Dry vanadium can be added into the dissolving tank for dissolving and mixing, so that the particle size and quality of vanadium ions in the solution are improved, vanadium crystals can be better separated out by the settling tank, and the vanadium removal effect of the device on the sodium aluminate solution is further improved.

This invention discloses a method and system for diagnosing and assessing teacher competence based on multimodal data fusion, applied in the field of data analysis. The method includes acquiring teaching video data of the target teacher and its corresponding lesson plan text data; then adaptively segmenting the lesson plan text into multiple text blocks, with the segmentation boundaries determined based on semantic density distribution; fusing corresponding sentiment enhancement vectors into each text block and extracting audio track prosodic features from the teaching video; establishing a precise correspondence between each text block and audio track segment using spatiotemporal alignment technology, and then calculating the first and second matching degrees; adjusting the contribution weight of semantic density to each matching degree to generate the final diagnostic assessment result of teacher teaching competence. The teacher competence diagnostic assessment method based on multimodal data fusion provided by this invention effectively improves the objectivity, granularity, and educational guidance value of teacher teaching competence assessment.

This invention relates to the field of chip inspection technology, and more particularly to a chip non-destructive testing system based on embedded current scanning. The system includes a current scanning module, an information acquisition module, a data analysis module, an abnormal scanning region generation module, and a scanning path generation module. Instead of simply performing a higher-density secondary scan of the entire chip, this invention intelligently filters out abnormal scanning regions requiring special attention based on the initial scan results and calculates their scanning priority. This allows valuable inspection time and computing resources to be concentrated on the most suspicious and severe areas, avoiding unnecessary repeated scanning in normal areas. The system dynamically selects the optimal scanning path based on the regularity of the region shape; for example, parallel lines are used for regular regions, and radial lines are used for irregular regions. This makes the scanning path more closely match the geometric features of the defect, obtaining a more complete region characterization with fewer scanning points, resulting in higher path planning efficiency.

The present application belongs to the technical field of sintering mixed material batching, and relates to a method for reducing particle size segregation of mixed material in a multi-stage flat laying manner. According to the required batching ratio, each kind of material is divided into 3-4 stages according to particle size, the first stage is for the material with the largest particle size and the most segregation, the second stage is for the dust removal ash with fine particle size and large dust, and the third and fourth stages are for the material with uniform particle size. Before taking the material, the head and tail cutting operation is implemented, and the mixed material in this area is returned to the top of the new pile. The present application adopts the segmented flat laying manner, solves the particle size segregation, adds the dust removal ash in the second stage, and solves the problem of dust diffusion. Each bin can be used alternately, solving the problem of the number of bins. At the same time, small materials can be added in a certain stage, realizing the recycling of iron-containing resources.

This disclosure provides a method and apparatus for modulation pattern recognition of orthogonal frequency division multiplexing (OFDM) signals based on adaptive modulation, which can be applied to the field of wireless communication technology. The method includes: acquiring an OFDM signal, which comprises N symbols and K subcarriers; performing a fast Fourier transform on the OFDM signal to obtain an NxK-dimensional frequency domain matrix; based on the subcarrier dimension and according to the identifiers of the K subcarriers, extracting multiple frequency domain symbol vectors associated with each subcarrier from the frequency domain matrix to obtain K target data sequences; performing at least one operation, such as clustering or accumulation, on any of the K target data sequences to obtain multiple modulation pattern recognition features associated with the target data sequences; and determining the target modulation pattern based on the multiple modulation pattern recognition features and a preset modulation pattern mapping relationship.

A multi-stage adsorption synergistic dust control system for silicon carbide laser processing includes a suction hood, a vibrating grid module, a porous laminar flow adsorption module, a boiling water mist module, a condensation pipe, a mixing condensation module, a drying module, and a fan, arranged sequentially and connected along the airflow direction. The vibrating grid module includes an alloy grid and a vibration device. The porous laminar flow adsorption module includes an adsorption layer disposed in the airflow channel. The boiling water mist module includes an adsorption chamber and a water mist generator to form boiling water mist to capture dust in the airflow. The condensation pipe performs preliminary condensation of the airflow to capture dust. The mixing condensation module includes an inclined condensation channel that utilizes dust in the airflow as condensation nuclei to remove dust. The inner wall of the condensation channel is alternately arranged with superhydrophilic and superhydrophobic regions. This invention can achieve stepwise dust removal from the micron to the nanometer scale, with a capture efficiency of up to 99.9%, low overall energy consumption, and recyclable materials.

The invention relates to the technical field of traditional Chinese medicine preparations, and discloses a pear syrup-containing medicinal and edible wall-broken paste for treating heart-spleen deficiency, which is prepared from the following raw materials in parts by mass: 24 to 30 parts of compound medicine, 8 to 12 parts of lily, 100 to 120 parts of pear syrup, 12 to 18 parts of Chinese yam, 6 to 8 parts of semen euryales and 6 to 8 parts of semen coicis. Potential risks of non-edible raw materials are avoided, the pear syrup conforming to the national standard achieves dual effects of nourishing yin, moistening dryness and improving the taste, the industrial pain point that powder and a syrup body of a traditional syrup formula are not uniformly mixed is solved, and uniform distribution of components is ensured. A circulating cooling water and nitrogen double-control system is adopted in the whole process, the crushing temperature is strictly controlled to be 50 DEG C or below, and volatile effective components are reserved to the maximum extent.

This application discloses a method for preparing highly soluble boron citrate, comprising the following steps: S1. Preparing a borate solution and a citrate source solution separately; the borate solution also contains hydrochloric acid; S2. Under microwave heating reaction conditions, slowly adding one solution to the other solution, adjusting the pH of the solution to 5-6 after the first reaction time, and then continuing the reaction for a second time; S3. Heating and concentrating; S4. Spray drying to obtain the boron citrate product. The method provided in this application utilizes the direct reaction of soluble citrate source and soluble borate, which is a simple process. A stable boron citrate solution is prepared by adding hydrochloric acid and adjusting the pH of the solution. After heating, concentration, and spray drying, a highly soluble boron citrate powder product with fine particle size and low heavy metal content is obtained.

Provided is a laxative tablet which includes magnesium oxide as a main constituent, wherein (1) the particle size by volume of 50% (D50) of particles which emerge when the tablet is suspended in water is 70 µm or less as determined by laser diffractometry, (2) the particle size by volume of 90% (D90) of the particles which emerge when the tablet is suspended in water is 130 µm or less as determined by laser diffractometry, and (3) the dissolution time of the tablet when the tablet is suspended in water according to the Japanese Pharmacopoeia - general testing methods - dissolution testing methods is 10 seconds or less.

The application provides an entity recognition method, device and equipment and a computer readable storage medium; is applied to video processing and text processing and other application scenarios; the entity recognition method comprises: obtaining a to-be-processed text corresponding to a target account; performing feature extraction on the to-be-processed text to obtain a character feature corresponding to each character; obtaining each candidate entity string in the to-be-processed text; based on the character feature, identifying each candidate entity string to obtain an entity sentiment category corresponding to each entity string, wherein the entity sentiment category is a category to which a sentiment of the target account for each entity string belongs, and the entity string is the candidate entity string belonging to an entity. Through the application, the entity recognition effect can be improved.

The invention discloses a non-magnetic hard alloy and a preparation method and application thereof.The non-magnetic hard alloy comprises a high-entropy binding phase and a hard phase, the component of the hard phase comprises WC, the component of the high-entropy binding phase comprises at least six of first transition metal elements and second transition metal elements, the first transition metal elements comprise Co, Ni and Fe, and the second transition metal elements comprise Co, Ni and Fe; the second transition metal elements comprise at least three or more of Cr, Re, Ru, Rh, Pd, Os, Ir and Pt, the mass percent of the high-entropy binding phase is 6-25%, and the balance is the hard phase, the hard alloy has very high comprehensive mechanical performance, and the problem that an existing non-magnetic hard alloy is insufficient in wear resistance is effectively solved.

The invention discloses a store stock quantity suggestion generation method and device, equipment and a storage medium, and is used for solving the technical problems of hysteresis quality, coarse granularity and dependence on subjective experience of an existing stock guidance method. The method comprises the following steps: collecting check-in associated data of all target hotels in each city; calculating price fluctuation indexes of different areas of each city in preset holidays and festivals according to the check-in associated data; and according to the price fluctuation index, generating a store stock quantity guidance suggestion.

The application belongs to the technical field of inorganic material preparation, and particularly relates to a twice calcined tungsten oxide and a preparation method and application thereof, the preparation method comprising: primary calcination: APT raw materials are added into an industrial rotary kiln with an inclination angle of 5-6 DEG at a feeding speed of 100-500 g / min for calcination to obtain primary calcined tungsten oxide; secondary calcination: the primary calcined tungsten oxide is added into an industrial rotary kiln with an inclination angle of 2-3 DEG at a feeding speed of 800-1000 g / min for calcination to obtain secondary calcined tungsten oxide. The preparation method uses simple equipment, and raw materials are easy to obtain, and the method is easy to be industrialized. By controlling the feeding rate, the inclination angle of the rotary kiln, the rotating speed and the calcination temperature, the obtained tungsten oxide has fine particle size, narrow bulk specific gravity and stable screening performance, and can be applied in ultra-fine crystal rods, petroleum catalysts and photocatalyst materials.

The application discloses a method for supporting multi-terminal touch screen information collection and restoration. A data collection terminal collects touch screen data on different signing terminals. A handwriting data conversion module in a data processing layer pre-processes the touch screen data obtained from the different signing terminals, converts multi-terminal handwriting data into standard handwriting data packets in a screen coordinate system, determines key frames of the touch screen data, fills in the blank between adjacent point positions of the touch screen data by using a tweening animation algorithm to ensure that there is no broken line, calls a Bezier curve algorithm to determine the intermediate frame inserted between the two key frames, so that the handwriting is smooth, and the obtained touch screen data is converted into lines close to the natural handwriting habit of a person. A rendering layer determines the size of a handwriting point according to the coordinates of a current point position on a canvas, real-time pressure data and a predetermined thickness, renders a handwriting track, and generates an electronic signature.

The invention provides a pumped storage power station 5G + BIM intelligent interaction management system, and the system comprises a sensing layer which is used for collecting earthwork vehicle transportation data, dam rolling data, underground cavern construction data and monitoring data, and achieves the dynamic data updating of a BIM model through a 5G camera, a sensor and construction data; the network layer transmits dynamic data of the BIM model through a 5G private network, and allocates communication resources according to service requirements by adopting a network slicing strategy; the data layer is used for fusing dynamic data of the BIM model, including BIM geometric data, sensor real-time parameters and construction data, and constructing a dynamic digital twinborn database; and the application layer performs construction state early warning and construction scheduling based on design parameters and sensor parameters and a BIM model, generates a decision instruction through a deep learning algorithm, and realizes data deep fusion, network resource optimization and emergency capability improvement by fusing 5G high-reliability communication, BIM dynamic modeling and AI intelligent decision.

This invention provides diagnostic assistance methods, health assistance methods, diagnostic assistance devices, and health assistance devices, enabling high-granularity judgment of sensor data. The diagnostic assistance methods include: an acquisition step, which acquires sensor data detected by the sensor and lifestyle information related to the user's lifestyle habits, and records them in a time series; an extraction step, which extracts selected lifestyle habit association information associated with the sensor data from the lifestyle habit information; and an output step, which combines the selected lifestyle habit association information with the sensor data.

The invention relates to the technical field of integrity verification, in particular to a video and audio file migration integrity verification method, which comprises the following steps: acquiring a synchronous frame extraction pixel sequence, establishing mapping to generate feature data, extracting time, marking a stable section, extracting brightness residual error, judging the direction to be consistent, and analyzing chromaticity variance to generate the stable section. According to the method and the device, the brightness and chroma pixel value sequences are extracted from the synchronous frames in the program packaging file and the broadcast rendering frame, and the mapping relation is established, so that frame-by-frame accurate comparison can be realized, the synchronous state is identified in combination with the time sequence difference trend, the inter-frame comparison precision is improved, and the accuracy of the inter-frame comparison is improved. Through the conjoint analysis of the brightness channel residual direction and the chrominance channel variance distribution, the image anomaly recognition capability is enhanced, and the frame-level consistency result is extracted based on the multi-dimensional residual feature intersection, so that the video and audio integrity verification without depending on a unified decoder is realized, and the real-time performance and fine granularity of quality assurance are enhanced.

The application discloses a power grid material fault prediction and active defense system and method based on digital twinning and a multi-agent large model, and belongs to the technical field of power system disaster prevention. The system comprises a knowledge graph construction module, a multi-agent collaborative prediction module and a digital twinning simulation pre-play module. By constructing a "disaster-equipment" knowledge graph integrating multi-source data, a structured knowledge base is provided for the system; by using three-level agents of risk perception, probability prediction and strategy generation to work collaboratively, closed-loop decision-making from typhoon warning analysis to executable defense strategy generation is realized; finally, the scheduling scheme is dynamically simulated, deduced and optimized and verified in a digital twinning environment. The application solves the problems of difficult data fusion, disconnection between prediction and decision-making and lack of verification mechanism in traditional methods, and significantly improves the fault prediction capability, emergency response speed and active defense reliability of the power grid in typhoon weather.

The invention relates to the technical field of computer data processing and natural language processing, in particular to a case clue identification and analysis system, which comprises a data access and positioning module for calling a preset multi-source map service interface to concurrently analyze a network address, and determining a target position through voting arbitration; the cascade semantic analysis module is used for identifying attributes by utilizing coarse granularity of a first-level classification model, and routing to a vertical expert agent to generate a fine-granularity label; the element feature extraction module is used for eliminating interference digital features and then generating standard amount features, and analyzing intention intensity of the user; the value quantification and pricing module is used for mapping the heterogeneous features into multi-dimensional scores based on a tree-shaped weight system, and generating clue commercial value scores and pricing results; according to the invention, the problem of value evaluation caused by information non-standardization in a compliance consultation scene is solved.

This invention discloses a gold extraction process and system using whole-sludge cyanidation without pre-concentration, relating to the field of gold beneficiation and smelting technology. It solves the problems of low grinding efficiency, complex processes, difficulty in recovering coarse gold particles, and high safety risks in existing processes. The process includes raw ore crushing, primary grinding, gravity separation, hydrocyclone classification, secondary grinding-leaching, leaching-adsorption, smelting, and tailings treatment; the system includes corresponding crushing, primary grinding, gravity separation, hydrocyclone classification, secondary grinding-leaching, leaching-adsorption, smelting, and tailings treatment units. The key innovation is: gravity separation recovers coarse gold particles after primary grinding; the secondary stage uses an azin mill to achieve synergistic grinding-leaching, eliminating the pre-concentration stage; and the filtrate reagents are recycled. This invention features a simplified process, low energy consumption, high gold recovery rate, and safe and environmentally friendly operation, suitable for gold extraction from gold ores containing coarse gold particles that require fine grinding.

This invention provides a production apparatus for coarse-crystalline sodium metabisulfite, comprising a primary reactor, a secondary reactor, a tertiary reactor, and a sodium carbonate liquid tank connected in series. The primary reactor has a sulfur dioxide inlet on its side wall. A flow pump is installed on the connecting pipe between the secondary reactor and the primary reactor. A gas flow meter is installed at the sulfur dioxide inlet. A pH probe is installed inside the primary reactor. A crystallizer is connected to the bottom of the primary reactor via a conveying pipe equipped with a conveying pump. The crystallizer is installed higher than the primary reactor. An overflow pipe connected to the primary reactor is located at the top of the crystallizer, and a discharge pipe with a discharge valve is connected to the bottom of the crystallizer. The coarse-crystalline sodium metabisulfite production apparatus provided by this invention can increase the particle size of sodium metabisulfite, improve the main content of the product, enhance product quality, and extend the product's agglomeration cycle.

This invention discloses a multimodal named entity recognition method and apparatus, relating to the field of named entity recognition technology. The method includes: inputting the text to be recognized and the image to be recognized into a trained multimodal named entity recognition model to determine the entity recognition result. The multimodal named entity recognition model includes a text extraction module, an image extraction module, a sentence-level soft gating module, a self-attention Transformer module, a cross-modal Transformer module, an MLP expert head, a visual gating module, and a CRF decoder. Based on this scheme, information loss in cross-modal interactions is reduced, and fine-grained alignment and decoding robustness are improved, thereby enhancing entity recognition performance.

The application relates to the technical field of data processing, in particular to a code reordering processing method and system. A plurality of candidate codes are generated based on requirements; a plurality of indexes are set for each candidate code; each index is tested based on an execution channel to generate an execution result vector of each candidate code; each index is tested for deviation to set a deviation value of each index; an equivalent cluster of each candidate code is constructed; an execution score of each candidate code is calculated based on the deviation value and the execution result vector; each candidate code is tested based on an inference channel to output an inference score of each candidate code; a mixed score is calculated, and each candidate code is reordered based on the mixed score and the equivalent cluster. The application overcomes the inference illusion problem of a large language model when generating codes through a double-channel scoring system, and improves the quality of code generation.

This invention discloses a spherical powder of tantalum-tungsten alloy and its preparation method and additive manufacturing method, belonging to the field of refractory metal material preparation technology. The preparation method includes: subjecting a homogeneous tantalum-tungsten alloy ingot to a three-stage hydrogenation treatment, sequentially holding at 0.01~0.04 MPa and 300~500℃ for 1~3 h, at 0.04~0.08 MPa and 900~1000℃ for 0.5~1 h, and at 0.02~0.05 MPa and 300~400℃ for 0.5~1.5 h. This segmented hydrogenation process controls the diffusion behavior of hydrogen in the alloy, achieving controlled embrittlement and avoiding over-hydrogenation. Further, multi-cycle crushing and dynamic sieving based on the target particle size range are performed to obtain hydride precursor powder, significantly reducing ineffective fine powder and improving the yield and production efficiency of the plasma spheroidization process. The resulting tantalum-tungsten alloy spherical powder has a sphericity of not less than 99%, an oxygen content of not more than 150 ppm, and a concentrated particle size distribution. It is suitable for additive manufacturing processes such as laser selective melting and electron beam selective melting, providing a reliable raw material for the forming of high-performance tantalum-tungsten alloy components.

This invention discloses a high-purity ultrafine spherical silica powder, its production method, and its application, belonging to the technical field of high-value mineral material preparation and high-value utilization of industrial solid waste. The preparation method includes: flotation and acid washing of silica mud to obtain purified silica powder; air jet milling and air jet classification of the purified silica powder to obtain ultrafine silica powder; and feeding the ultrafine silica powder into a plasma reactor in the presence of an oxygen-containing flow, causing simultaneous oxidation and spheroidization to obtain high-purity ultrafine spherical silica powder. The oxygen volume concentration in the oxygen-containing flow is 25-60%; the ratio of the input power of the plasma reactor to the powder feeding rate of the ultrafine silica powder is 15 kWh / kg-50 kWh / kg. Based on the material characteristics of silica mud, this method achieves high-value utilization of silica mud through the synergistic regulation of pretreatment purification, precise particle size control, and energy-coupled spheroidization throughout the entire process, while possessing advantages such as low energy consumption, uniform product particle size, high purity, and good sphericity.

A method for preparing a binary formula for Dai pottery clay and its application is disclosed. The method involves taking Dai pottery clay from the Honghe River basin, five-colored clay from Honghe County, and charcoal powder. The Dai pottery clay and five-colored clay are sun-dried and weathered for at least three months. The Dai pottery clay from the Honghe River basin has a SiO2 content of not less than 50%, an Al2O3 content of not less than 15%, an Fe2O3 content of not less than 10%, and a loss on ignition of less than 10%. The five-colored clay from Honghe County has a SiO2 content of 72-82%, an Al2O3 content of 9-12%, and an Fe2O3 content of 3-5%. The method involves soaking the Dai pottery clay and five-colored clay in water until fully saturated, then ball-milling them. The slurry is sieved, and then charcoal powder is added. After stirring evenly, the clay is pressed to drain water and then kneaded to remove air. This invention can improve the throwing and molding performance of Dai pottery clay, increase the sintering temperature and the density and strength of its structure, and reduce the burn-off rate.

This invention belongs to the field of protocol reverse engineering technology and proposes a method and apparatus for reverse analysis of unknown industrial control protocols. It involves forming a set of message fragments based on network packets; the packets and message fragment sets constitute a dataset; a heterogeneous message graph is constructed based on the dataset; the heterogeneous message graph is input into a neural network model for message graph feature extraction to perform message clustering and train the neural network model; the dataset to be clustered is input into the trained neural network model for clustering; within the same message cluster, the Needleman-Wunsch algorithm is used to infer the syntax format and mark field boundaries. This invention reduces the time complexity of message clustering; it jointly optimizes feature extraction and clustering; and it provides the model with finer-grained and more reasonable analysis units.

This utility model discloses a raw material feeding device for EVA film production, including symmetrically arranged side plates. A conveyor belt for conveying raw materials is provided at one end of each side plate. A discharge chute for guiding the raw materials to the extruder is provided between the side plates below the conveyor belt. A screening mechanism is provided between the conveyor belt and the discharge chute. An air supply component is provided on the side plates above the conveyor belt and the screening mechanism. This utility model has a simple structure and reasonable design, achieving the effect of screening and feeding. It avoids large, clumped raw materials from directly entering the extruder through the discharge chute, improving feeding accuracy and subsequent product quality. Furthermore, clumped raw materials can be effectively dispersed under the action of pressure rollers and then fed back to the conveyor belt for screening, improving raw material utilization. Simultaneously, the air outlet effect of the side air outlet and the top air outlet further dries the screened raw materials and assists in their descent, further improving the state and particle size of the raw materials.