24results about How to "Realize organic integration" patented technology

This utility model relates to a blood pressure monitor, disclosing a multifunctional blood pressure monitor including a main unit and a secondary unit. A cuff is installed at the lower end of the main unit, and a first main control board is installed inside the main unit. The secondary unit contains a second main control board and a battery, which is connected to and powers the second main control board. Electrodes are also installed on the secondary unit and connected to the second main control board. The main unit and the secondary unit are detachably connected. When the secondary unit is mounted on the main unit, the battery is connected to the first main control board via the second main control board. The battery in the secondary unit not only ensures the normal operation of its own ECG and heart sound measurement functions but also, when mounted on the main unit, powers the first main control board of the main unit via the second main control board. This power supply mode solves the problem of separate power supply for the main unit and achieves the organic integration of blood pressure, ECG, and heart sound measurement functions. Users do not need to prepare multiple power supply devices, reducing operating costs.

The present application relates to the technical field of aluminum electrolysis, and provides an aluminum electrolysis cell damage inversion method based on a machine learning algorithm, comprising the following steps: obtaining current data of an aluminum electrolysis cell through a fiber-optic current sensor, and obtaining temperature data of the aluminum electrolysis cell; performing discharge area division according to a discharger of the aluminum electrolysis cell; performing area division on the current data and the temperature data, and performing feature extraction on the current data and the temperature data; establishing a physical information forward model based on a neural network, and associating and mapping a damage state vector with current feature data and temperature feature data through the physical information forward model; constructing a cathode joint loss function and an anode joint loss function; respectively performing iterative solution on the cathode joint loss function and the anode joint loss function through an optimization algorithm, outputting an optimal damage state vector, and generating a damage space distribution result of the electrolysis cell. The present application can realize online inversion and spatial distribution visualization of anode and cathode damage states.

The application provides a live conference real-time subtitle generation method and system fused with AI, relates to the field of real-time subtitle generation, and comprises the following steps: collecting an audio stream and dividing the audio stream into segments, assigning a sound source identifier to each audio subsegment after sound source separation and identification; performing speech recognition on the identified audio and associating the sound source to generate identified text; correcting text ambiguity by using a context knowledge base containing a subject word table and historical text; cutting the text according to an audio energy envelope to form a subtitle unit; calculating a subtitle display time, assigning a vertical offset to subtitles with overlapping time but different sound sources to realize spatial separation; adjusting the subtitle display coordinates in combination with a disabled area determined by a video frame foreground, and rendering and outputting. The method realizes clear distinction and accurate presentation of multi-speaker subtitles, and improves the readability and user experience of conference live subtitles.

This invention relates to the field of NLP technology and discloses a plug-in function testing method for a pre-trained power system model based on NLP. The method includes: receiving a technical supervision query question and performing vector encoding and retrieval to obtain an initial retrieval result set; obtaining reference text with standard citation annotations through weighted sorting and concatenating it with multi-level prompt word templates to obtain domain-structured prompt words; performing a bundle search using a large technical supervision domain model fine-tuned with LoRA low-rank adaptation to generate candidate answer texts; and conducting quality assessments including citation integrity detection, logical consistency detection, and entity illusion detection to obtain a qualified technical supervision standard answer. This method solves the technical problems of low standard retrieval accuracy, poor answer accuracy, lack of citation tracing, and insufficient domain customization capabilities in existing technologies, providing a complete technical solution for intelligent applications in the field of power technical supervision.

The application relates to the technical field of liquid crystal display panel detection, and discloses a liquid crystal display panel visual detection system and method, which comprises the following steps: S1, acquiring real-time image information of a liquid crystal display panel and production parameters of a production line; S2, performing multi-dimensional analysis according to the real-time image information to acquire multi-dimensional evaluation indexes; and S3, establishing a panel qualification judgment model according to the production parameters, inputting the multi-dimensional evaluation indexes into the panel qualification judgment model, and obtaining a detection result. According to the multi-dimensional analysis of the liquid crystal display panel based on the real-time image information, the panel qualification judgment model is established according to the production parameters of the production line, the quality of the liquid crystal display panel is judged through the panel qualification judgment model and the multi-dimensional evaluation indexes, the 'apparent quality' and 'process health degree' of the panel can be comprehensively reflected, the misjudgment caused by single-dimensional information can be avoided, the organic fusion of multi-source heterogeneous information is realized, and the robustness of decision-making is improved.

The invention belongs to the field of rural property trading, particularly relates to a rural property trading platform, and aims to solve the problems that information related to existing rural property trading is stored in different systems or platforms in a scattered manner, so that data management and integration are difficult, data acquisition and analysis complexity is increased, and the cost is low. In order to solve the problems that rural resource assets, right confirmation data, economic contracts and transaction data are difficult to organically integrate, and comprehensive analysis and decision support cannot be performed on a unified platform, the invention provides the following scheme: the system comprises an information registration module, the information registration module is connected with a publishing module, the publishing module is connected with an auditing module, and the auditing module is connected with a cloud server. According to the system, rural resource assets, right confirmation data, economic contracts and transaction data can be organically fused, so that organic fusion of dynamic data and static data is realized, and the efficiency and transparency of rural property right transaction are improved.

A license plate lamp suitable for an electric vehicle comprises an upper cover, a lower cover matched with the upper cover and a license plate lamp body, the license plate lamp body is arranged in a closed space formed by the upper cover and the lower cover, and an electric vehicle fixing connector connected with the electric vehicle is arranged at the tail end of the upper cover. A license plate lamp transparent cover and a projection lamp transparent cover are arranged on the lower cover, and the included angle between the projection lamp transparent cover and the projection lamp transparent cover in the clockwise direction is an obtuse angle. The independent projection lamp is introduced into a traditional license plate lamp structure, the license plate lamp transparent cover and the projection lamp transparent cover are arranged on the lower cover in a matched mode, and the clockwise included angle between the license plate lamp transparent cover and the projection lamp transparent cover is the obtuse angle, so that light rays of the license plate lamp directly face a license plate area, light rays of the projection lamp are projected to the ground, and LOGO or pattern display can be formed. According to the structure, one lamp body has two functions, the requirements for traffic compliance and appearance individuation are both considered, the whole vehicle design sense is improved, and organic integration of the functions is achieved through the included angle design and the lamp body integration mode.

The application provides a preparation method of fluorinated chitosan-based nanocarrier PTX-FP@FCS-NPs, which comprises the following steps: synthesizing fluorinated chitosan, dissolving Tween 80 and the fluorinated chitosan in an acetic acid aqueous solution, stirring to obtain a mixed solution, adding 5, 10, 15, 20-tetrakis(3, 5-bis(trifluoromethyl)phenyl) porphyrin and paclitaxel into the mixed solution after dissolving, stirring and centrifuging, taking the precipitate, and washing the precipitate with distilled water to obtain the fluorinated chitosan-based nanocarrier PTX-FP@FCS-NPs. 19 The nanocarrier has the characteristics of F MRI / FLI bimodal imaging, pH / laser dual-response drug release, and efficient co-loading of paclitaxel and porphyrin, and under the stimulation of laser, the nanocarrier effectively inhibits tumor growth through multi-mechanism synergistic effect and has good biological safety.

The application discloses an embryo in-vitro culture and in-situ monitoring system and method, and belongs to the field of online monitoring of embryo in-vitro culture. The system comprises: a high-precision microscope, which is a table type fixed structure and is provided with a stage; a culture unit, which is based on the structural design of the stage and is arranged on the stage, is used for accommodating embryos and providing a culture environment required by in-vitro development of the embryos; a thermostat, which seals the related part of the microscope containing the stage and provides a stable temperature environment for the culture unit; and a control unit, which is connected with the culture unit, is used for providing a multi-channel perfusion culture pipeline and driving and can perform time-periodic perfusion culture. The application wraps the microscope by the thermostat and adopts cascade closed-loop temperature control to provide a stable temperature and humidity environment; realizes fine shear force stimulation through time-periodic perfusion; realizes in-situ high-resolution imaging through adaptation of the high-precision microscope, does not need to transfer embryos, and significantly improves imaging quality and experimental efficiency.

The application relates to the technical field of data processing, and discloses a soil profile database-based organic carbon density prediction method and system. The method comprises the following steps: collecting soil profile data, obtaining soil attribute parameters and environmental parameters of each depth layer, and obtaining a profile data set; dividing samples into different groups according to pH values and texture parameters to obtain a classification matrix; training a bulk density prediction model in each group, interpolating the missing values of the bulk density, and obtaining complete bulk density data; establishing a transfer function, substituting the organic carbon content, the bulk density value and the layer thickness, and calculating the organic carbon density of each depth layer; and weighting and accumulating the organic carbon density of each depth layer according to the layer thickness to obtain the profile organic carbon storage. The application solves the problems that, in the prior art, a global unified model leads to low bulk density prediction accuracy, and the heterogeneity of soil types and the depth effect are not considered, resulting in inaccurate organic carbon density estimation.

This invention discloses an esterase-responsive nanogel-modified bioprosthetic valve, its preparation method, and its application, belonging to the field of bioprosthetic valve technology. This invention solves the problem of balancing the anti-infective properties, biocompatibility, and high surface modification rate of bioprosthetic valves. The invention uses ester-containing methacrylates and antibiotic drugs as raw materials to synthesize esterase-responsive monomers, then synthesizes esterase-responsive nanogels, and then attaches them to the surface of the bioprosthetic valve. Under pathological conditions with high esterase concentrations, the ester bonds decompose, releasing the antibiotic drugs in situ, thereby treating bacterial infections, reducing inflammatory cell infiltration, and improving the anti-infective and anti-inflammatory properties of the bioprosthetic valve. Furthermore, the nanogel contains a large number of hydrophilic groups, forming a hydration layer on the bioprosthetic valve surface, effectively reducing the risk of thrombosis and coagulation, and resisting bacterial adhesion. The prepared bioprosthetic valve exhibits excellent anti-infective, anticoagulant, anti-calcification capabilities and stability.

The invention relates to the technical field of data processing, and discloses a breast cancer risk assessment and intervention method based on a multivariate coupling model, which comprises the following steps: quantifying the interaction between environmental parameters such as temperature, humidity and air pressure and human energy metabolism, and quantifying the interaction between food cold and heat attributes, kinetic energy consumption and midnight-noon ebb-flow rhythm; real-time prediction and hierarchical management and intervention of deterioration risks are realized by quantifying a dynamic balance relationship between blood pressure energy and breathing energy, adopting a synergistic effect of a classical prescription, an acupuncture therapy, guide movement and the like according to a principle and adopting a machine learning algorithm. According to the invention, a multi-dimensional correlation and regulation coupling model of environment, psychology and physiology is established, and breast cancer disease prediction and tumor prognosis evaluation are realized.

The utility model discloses a highway dam type roadbed structure with a graded water drainage and storage function, and aims to overcome the defects of low water storage efficiency and blockage of a drainage system in the prior art. The structure comprises a roadbed body, and a roadbed cushion layer is laid at the bottom of the roadbed body; the upstream face of the roadbed body is of a slope-shaped structure and is provided with slope protection measures; a drainage square culvert and a water control gate are arranged in the roadbed body. Through the innovative dam type roadbed structure design, the graded water drainage and storage system, the low-cost construction and maintenance scheme, the eco-friendly design and the optimized construction process, the functionality, stability and ecological benefits of the highway dam type roadbed in the loess gully area are remarkably improved, and meanwhile the construction and maintenance cost is reduced.

The application provides a kind of based on knowledge graph and RAG collaborative enhancement's guest station user query response method and device, first to user query is classified, for real-time data query class and response level determination class respectively call real-time data interface by big model answer or pass through response level determination model output response level;For knowledge question and answer class and emergency scheme generation class, then parallel execution based on RAG's semantic retrieval and based on knowledge graph's subgraph retrieval, the target text block, knowledge subgraph and real-time data retrieved are fused into structured context, and input based on ReAct framework's multi-round iteration reasoning agent, finally generate the specific question and answer result or structured emergency disposal scheme.The application realizes the organic fusion of static preplan knowledge, domain knowledge graph and real-time dynamic data, improves the factual accuracy, logical coherence and scene adaptability of emergency scheme generation, reduces the noise interference and logical breakage risk caused by single retrieval enhancement generation.

A method for fault cross-system propagation analysis based on performance model, the first step: multi-domain system performance model construction; based on Modelica, the construction, integration and verification of each domain system model are completed; the second step: fault mode and influence analysis; the typical fault mode of components in each domain system and the fault influence relationship between components are identified, and the fault propagation path is determined; the third step: fault propagation analysis based on directed graph; the edge betweenness of each directed edge is calculated and taken as the fault propagation characteristic parameter on the structure level; the fourth step: fault cross-system propagation analysis based on performance model; based on the function failure logic table, the performance influence simulation between multi-domain components is carried out, the performance influence degree of the fault source component on the affected component is analyzed, and the performance characteristic parameter describing the components between each domain is obtained; the fifth step: fault cross-system propagation strength evaluation; the fault propagation structure characteristic parameter and the performance characteristic parameter are normalized and fused, a fault cross-system propagation strength model is constructed, and the key propagation path is identified.

This invention discloses a deep learning-based simulation method for scheduling electronic atomization production lines, comprising: S1, collecting and preprocessing historical production data from the electronic atomization production line to construct a standardized dataset; S2, constructing and training an electronic atomization production line scheduling model using a multi-dimensional spatiotemporal collaborative Transformer network; S3, inputting real-time production line status information into the trained electronic atomization production line scheduling model and evaluating production line operation indicators to generate an optimized set of candidate scheduling strategies; S4, constructing a multi-objective simulation environment for the electronic atomization production line and simulating the execution of the optimized set of candidate scheduling strategies; S5, using an improved multi-objective ant colony optimization algorithm to select the optimal scheduling strategy; S6, applying the optimal scheduling strategy to the actual production line and collecting feedback information in real time; S7, continuously iteratively optimizing the scheduling model based on the feedback data. This invention improves production line operating efficiency, resource utilization, and scheduling response capabilities.

This invention discloses a pollution source tracing method that couples water system topological constraints with multi-source tracing technology. This invention relates to the field of environmental monitoring and water pollution control technology, and includes the following steps: constructing a digital water system topology network for a watershed: based on digital elevation model data of the target watershed, after hydrological preprocessing, flow direction calculation, runoff accumulation analysis, and river network extraction, the natural river network is abstracted into a topological network graph composed of nodes and directed edges. A reachability matrix is ​​generated based on the directed edge connection relationships. The advantages of this invention are: by fusing four complementary chemical fingerprints—stable isotopes, biomarkers, three-dimensional fluorescence spectroscopy, and conventional water quality physicochemical parameters—a high-dimensional feature space is constructed. Cross-validation is performed using the distinguishing advantages of different fingerprints in different dimensions, effectively overcoming the source type confusion problem caused by insufficient dimensions of a single indicator, and significantly improving the specificity and accuracy of source identification.

This utility model relates to the technical field of underground communication and electrical explosion-proof equipment in coal mines, and particularly to a flameproof and intrinsically safe gateway for coal mines. It includes a housing assembly, a flameproof battery chamber, an intrinsically safe chamber, a battery module, a data exchange unit, a power supply unit, a battery information display unit, an intrinsically safe component, an observation window assembly, a light panel assembly, an explosion-proof cable entry device, and an explosion-proof cable connector. The housing is made of metal, and an internal partition divides it into the flameproof battery chamber and the intrinsically safe chamber. The flameproof battery chamber houses the battery module and a rotary switch that provide independent power to the equipment. The data exchange unit collects and converts multiple RS485 signals, and the power supply unit provides intrinsically safe power and monitors the status in real time. The intrinsically safe component in the intrinsically safe chamber converts the signals into standard Ethernet and optical signals for output to the ground system. The battery information display unit displays the equipment's operating status in real time through the observation window, and the light panel assembly provides auxiliary lighting. This gateway possesses excellent flameproof and intrinsically safe performance.

The application relates to a physical simulation experiment method of a caisson wharf under the combined action of earthquakes and waves, and relates to the technical field of coasts and oceans, and comprises the following steps: S1: experiment system construction and model preparation: a comprehensive experiment pool integrating a servo hydraulic vibration table and a wave making system is constructed; S2: load design: seismic motion input, wave load and loading working conditions are designed; S3: experiment loading and data acquisition: experiments are carried out according to the designed working conditions, and data are collected; S4: data processing and analysis, stability and damage mode of the caisson wharf are judged. The application provides a systematic, effective and repeatable physical simulation experiment method of a caisson wharf under the combined action of earthquakes and waves, and realizes real reproduction of the dynamic response of a caisson-ground system under complex environmental loads.

The application relates to an unsupervised pedestrian re-identification method based on semantic fusion and double clustering guidance, which comprises the following steps: processing pedestrian images by using a pre-trained semantic segmentation model to generate attention maps corresponding to a plurality of preset semantic parts; taking an improved ResNet50 network as a backbone network and extracting global features of the pedestrian images, wherein the improved ResNet50 network is provided with an MBFatt module after a conv2 residual block, a conv3 residual block, a conv4 residual block and a conv5 residual block of the ResNet50 network, and the MBFatt module is used for acquiring part feature of each semantic part; respectively clustering the global features and the part features, respectively generating and fusing a global clustering similarity matrix and a part mean clustering similarity matrix to obtain a fused similarity matrix; inputting the pedestrian images into the trained improved ResNet50 network for re-identification according to the fused similarity matrix, and obtaining re-identified pedestrian images. The application improves the robustness of pedestrian image re-identification.

The application discloses a kind of in-service roadbed underlying ground permafrost probability distribution graph mapping method and system, the method includes: step S1, multi-source data acquisition and pretreatment;Step S2, permafrost indicating feature extraction;Step S3, permafrost existence probability model construction and training;Step S4, permafrost probability distribution calculation and mapping;Step S5, precision verification and engineering application.The application realizes the accurate diagnosis to underlying permafrost state under the premise of completely not destroying the integrity of roadbed structure by the application of multi-source data fusion and machine learning model.The method makes full use of multi-physical field coupling information, overcomes the limitation of single technical means, and the diagnosis accuracy is significantly better than single geophysical prospecting method, which provides reliable technical support for roadbed safety monitoring.The roadbed maintenance decision is changed from traditional experience-driven to quantitative data-driven, and the potential risk area is accurately positioned by fusing area, which effectively avoids blind excavation and ineffective maintenance, and reduces maintenance cost.

A cognitive impairment auxiliary analysis method based on multi-view brain network feature fusion, belonging to the field of medical information processing technology, solves the technical problem that existing technologies struggle to fully exploit the correlations and complementarities between multi-level structural features of patients' brain functional connectivity data, leading to low accuracy in assessing patients' brain functional status. This method uses rs-fMRI as input data, extracts multi-level brain connectivity information by constructing functional connectivity networks and higher-order functional connectivity networks, and builds a multi-view local-global graph neural network model (MVLG-GNN) to achieve collaborative modeling, adaptive fusion, and auxiliary analysis combining group relationships of subjects from multiple views of brain connectivity features. This invention is also applicable to the field of Alzheimer's disease brain data processing.

The application provides a species invasion detection method and system based on a correlation relationship, relates to the cross field of ecology and information technology, and the method comprises the following steps: based on the species invasion correlation rule, performing rule matching analysis on the multi-source data acquired in real time to obtain a matching degree result; calculating a species invasion risk score according to the matching degree result; based on the comparison result of the species invasion risk score and a preset early warning threshold, performing early warning judgment to obtain an early warning judgment result; when the early warning judgment result is that early warning needs to be triggered, early warning information containing an early warning position and key data is obtained. Through multi-source data acquisition, fusion and feature extraction, adaptive correlation rules are constructed, real-time risk assessment is performed, and finally the complete process of accurate early warning is realized.

The invention relates to the technical field of building deformation early warning, in particular to a high-rise building deformation early warning method and system based on time sequence deep learning, and the method comprises the steps: obtaining multi-source heterogeneous monitoring data, carrying out the timestamp calibration, and sequentially carrying out the data cleaning and feature extraction and fusion operation based on the calibrated monitoring data, obtaining a standardized time sequence feature vector; and constructing an LSTM early warning model composed of a mechanism constraint network and an improved long short-term memory network by taking the time sequence feature vector as an input, correcting a prediction result, and performing hierarchical judgment according to the corrected deformation prediction result in combination with a preset multi-stage dynamic early warning threshold, according to the invention, through multi-source data acquisition and fusion, LSTM hybrid drive modeling, dynamic grading early warning and low-delay pushing, accurate prediction and early safety early warning of building deformation are realized, the safety and durability of a building structure are improved, and the risk of safety accidents is reduced.