196 results about "Digital analysis" patented technology

The invention relates to the technical field of pipeline stress fatigue detection, and discloses a natural gas station elbow tee joint stress fatigue digital intelligent analysis method and system and a product. The method comprises the following steps: establishing a multi-physics field coupling digital twinborn model of the elbow tee joint, integrating a geometric structure, material attributes and a fluid-solid coupling mechanism, and simulating flow-induced vibration stress and corrosion fatigue interaction; collecting real-time multi-source data of the elbow tee joint; real-time multi-source data is utilized to update boundary conditions and parameters of the digital twin model, and material constants are dynamically corrected through machine learning, so that self-calibration of the model is realized; performing stress distribution analysis based on the updated model to obtain stress field data, and performing fatigue crack propagation prediction in combination with real-time multi-source data to generate a prediction result; and based on the prediction result, evaluating fatigue failure risks, including crack growth rate, residual life evaluation and failure probability, and outputting alarm information or optimization decision information.

The invention relates to the technical field of denture manufacturing, and discloses a high-precision digital complete denture 3D printing method which comprises the following steps: obtaining an initial denture model of a target object; acquiring occlusal point adjustment data; acquiring actual adjustment data; adjusting the initial false tooth model based on the actual adjustment data, and converting the adjusted initial false tooth model into a 3D printing instruction for 3D printing; according to the method, stress distribution during occlusion is simulated through finite element analysis, a three-dimensional occlusion thermodynamic diagram is obtained and input into a constructed CNN network model, occlusion point adjustment data are obtained, adjustment data of effective occlusion contact points are mapped into a solid model, and actual adjustment data are obtained; three-dimensional data of the oral cavity of a patient is obtained through a scanner, digital analysis is conducted in combination with a neural network model, the denture manufacturing precision is improved, manufacturing is conducted in a 3D printing mode, the manufacturing efficiency is high, the patient feels comfortable when wearing the denture and occludes the denture well, and the problem of diet difficulty of the implant patient is solved in time.

The invention discloses a farmland soil data digital analysis method and system, and the method comprises the steps: obtaining a farmland image, and dividing the image into different planting regions according to plants; based on the images of different planting areas, dividing the images into a plurality of sub-areas, obtaining soil samples in each sub-area, and analyzing the samples to obtain soil fertility in the sub-areas; based on the land fertility of different time nodes in each sub-region, obtaining a land fertility change condition; and comprehensively evaluating and analyzing the soil fertility change condition of the planting area based on the soil fertility change condition in each sub-area. The farmland soil fertility monitoring system has the advantages that accurate monitoring and dynamic tracking of farmland soil fertility are realized through image analysis and soil sample collection, and scientific decision support is provided for agricultural production. Through analysis of the soil fertility change trend, optimization of a fertilization scheme is facilitated, the land utilization efficiency is improved, and sustainable agricultural development is promoted.

The invention discloses a market data analysis method and system based on a digital platform, and relates to the field of market data digital analysis. In combination with key technical means such as a disturbance causal graph, a time hypergraph convolutional network, an inverse distance diffusion kernel function and Vioras-Rips Complex topology modeling, a forming mechanism of sales risk nodes can be dug in a multi-dimensional and hierarchical manner. The explainable traceability analysis of the sales volume risk is realized through a graph backtracking algorithm, and the accuracy of anomaly recognition and the perspectiveness of risk response are remarkably improved.

The present disclosure provides systems and methods for analyzing a mixed population of cells. In particular, the present disclosure provides systems and methods for digital cytometry of a biological sample, digital analysis of a biological sample, digital purification of a biological sample, evaluation of a disease in an individual, and prediction of a clinical outcome of a disease therapy.

The invention relates to the technical field of electric digital data processing, in particular to an intelligent monitoring system for civil construction equipment of a thermal power plant, which comprises a digital acquisition module, a digital processing module, a digital analysis module, an anomaly identification module and an optimization module. The digital acquisition module deploys a sensor at a key position of construction equipment, executes end-side noise filtering and feature extraction, and outputs a standardized feature vector. The digital processing module constructs a digital twinborn body, calibrates sensor coordinate deviation and timestamp deviation through multi-body dynamics simulation, and generates a multi-modal synchronous data stream. And the optimization module generates an adversarial sample by using the false alarm record, updates model parameters through federated learning and deploys the model parameters to an edge end. According to the method, through edge preprocessing, twin calibration, dynamic fusion and closed-loop optimization, the problem of real-time fusion of heterogeneous sensor data is solved, and the real-time performance and accuracy of abnormal state recognition are improved.

The present invention discloses a digital analysis method based on off-site monitoring of water pollution source tracing, comprising the following steps: S1, collecting water samples: collecting water samples at multiple predetermined sampling points in the target water area, S2, environmental DNA extraction: performing environmental DNA extraction operation on the collected water samples, S3, microbial gene detection: performing microbial gene detection on the extracted environmental DNA using high-throughput sequencing technology, S4, data analysis and model construction: performing data analysis based on multiple algorithms, S5, pollution source tracing determination: combining satellite remote sensing data, the water color, area changes, algae distribution, floating objects on the water surface and other information of the water area can be monitored.

The invention discloses a method for planning a space in an assembled transformer substation based on a BIM model, and relates to the technical field of digital simulation, and the method comprises the following steps: obtaining a three-dimensional BIM model; performing digital analysis on the activity space of the construction equipment in the transformer substation, and calculating the optimal activity range of the equipment by using a space utilization rate algorithm; determining an optimal layout and an advancing path by using a space utilization rate algorithm; generating an installation scheme and a construction path plan of the construction equipment; and performing scheduling management on the construction equipment based on the optimized construction scheme. Through a space utilization rate algorithm based on a BIM model, the technology can intelligently calculate the optimal number and model of equipment, optimize the activity range and advancing path of the equipment, reduce equipment redundancy and conflicts, improve the construction efficiency, reduce the construction cost, ensure the controllability of the construction progress, quality and safety through real-time feedback and dynamic adjustment, and improve the construction efficiency. And the utilization rate of construction resources and the overall construction management level are remarkably improved.

The invention discloses a text travel content analysis method and system based on semantic recognition, and relates to the technical field of text travel data intelligent analysis, and the method comprises the steps: obtaining a multi-source UGC text travel material set, and constructing a grid time-space domain module set according to a target region grid set and a continuous historical time window; each multi-source UGC text travel material is distributed to a corresponding grid time-space domain module; extracting a grid text semantic center vector of the grid time-space domain module, and calculating a semantic drift amount of the target area grids so as to screen at least one candidate hot spot area grid from each target area grid; and calculating a corresponding grid visual semantic center vector, and calculating a cross-modal semantic similarity in combination with the second grid text semantic center vector of the candidate hot spot region grid to screen a target hot spot region grid, and generating a travel destination recommendation list. Therefore, the method can quickly focus on geographic areas with active recent contents and increased discussion popularity, and is beneficial to exploring micro-destinations of newly-emerging tourism hotspots.

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

The invention discloses an intelligent bus shelter data processing method and system based on digital analysis, and the method comprises the steps: collecting the use information of seats in a target vehicle and the use state of an air conditioner, calculating the temperature distribution information and congestion degree information of different seats, and transmitting the information to all bus shelters for data sharing; receiving a request instruction of a target passenger, identifying a historical riding record and current riding demand information of the target passenger, and predicting a riding preference behavior and an expected distance from a demand seat to a get-off gate; and building a seat recommendation model according to the temperature distribution information, the congestion degree information, the riding preference behavior and the expected distance, generating a target seat for recommendation, and when the target passenger determines to use the target seat, updating the data, synchronizing the data to all bus shelter, and continuing to perform seat recommendation for the next passenger. Personalized requirements of different passengers are considered, seats can be scientifically and reasonably recommended for the passengers, the problem that the passengers frequently replace the seats after selecting the seats blindly is avoided, and the riding experience of the passengers is improved.

The invention provides a method and system for identifying an omissive hydrocarbon reservoir of an old oil field based on rock debris and optical fiber monitoring, and the method comprises the steps: carrying out the multi-mode digital analysis of the stock rock debris of a target well of the old oil field, and obtaining the rock physical characteristic parameters of the rock debris; the method comprises the following steps: obtaining stratum dynamic response parameters through a distributed optical fiber sensing system arranged in a sleeve of a target well of an old oil field in advance; historical logging data of the target well of the old oil field are called, and standardization processing is conducted on the historical logging data to obtain a historical logging parameter set; static errors of a historical logging parameter set are corrected through rock physical characteristic parameters, and real-time dynamic constraints are provided through stratum dynamic response parameters; according to the type characteristics of the reservoir where the target well of the old oil field is located, the corresponding multi-parameter fusion identification method is adopted to obtain the position of the missing oil and gas reservoir, and the accuracy and reliability of missing oil and gas reservoir identification are improved.

The invention discloses a steel beam digital assembly hole deviation threshold value calculation method, device and equipment, and the method comprises the steps: calculating a theoretical deformation function model between the axial deformation and bending deformation of a chord member through the length, width and height of a chord member cantilever section of a sub-girder section, the allowable stress of a splice plate, and an angle between a resultant force and a design central axis; then, finite element analysis is conducted on the sub truss sections under different applied forces, and scatter diagrams of tensile deformation and bending deformation are obtained; then the theoretical deformation function model is corrected by using a scatter diagram to obtain a splicing hole deviation threshold value line function image of steel beam digital splicing, so that the problem of inaccuracy caused by neglecting factors of splice plates in practical application in traditional digital analysis is avoided; the maximum deformation threshold value of the chord member, namely the line function image of the deviation threshold value of the splicing hole, is calculated through simulation, and accurate guidance is provided for digital girder section splicing, so that the bridge construction process is optimized, and the construction precision and efficiency are improved.

The invention discloses a pipeline cathode protection on-line monitoring system, relates to the technical field of pipeline protection, and aims to solve the technical problems that current manual detection is not timely, the efficiency is low, detection errors, missing detection and wrong detection are easily caused, and the cathode protection effect detection accuracy cannot be guaranteed in a continuously changing soil environment. Comprising an overground data acquisition assembly, an anti-corrosion layer coated on a protected pipeline, annularly distributed sacrificial assemblies annularly arranged by taking the protected pipeline as an axis, a potential test piece and a long-acting reference electrode which are arranged on one side of the protected pipeline, a fixed pipe hoop mounted on the protected pipeline, and a cathode protection intelligent digital analysis system, according to the method, accurate parametric modeling is carried out on the electrical migration area, the potential distribution situation in the electrical migration area can be accurately mastered, it is ensured that the potential on the surface of the pipeline is within a reasonable range, the phenomena of local pipe body corrosion and even perforation leakage are prevented, and therefore safe operation of the petroleum and natural gas buried steel pipeline is guaranteed.

The invention relates to the technical field of communication data transmission, and discloses a radio frequency interference data transmission protection system and method, and the system comprises a radio frequency interference communication base station, a communication channel searching module, a radio frequency interference communication channel communication quality analysis module, and a radio frequency interference communication path selection module. According to the data volume of the communication data packets at the transmitting end and the data volume of the communication data packets at the receiving end, accurately analyzing and processing the communication quality of the communication channel of the communication base station at the transmitting end to realize digital analysis of radio-frequency interference prevention capability of a communication data transmission path; based on communication quality evaluation information of a communication channel of a communication base station of a transmitting end, screening, dynamic and scientific selection of an optimal communication path of communication data transmission for preventing radio frequency interference from the transmitting end to a receiving end is carried out, accurate planning of a communication data transmission path for preventing radio frequency interference is realized, and the reliability of communication data transmission is improved. And the communication quality and the user experience of the communication system are improved.

The invention relates to a pipeline elongation calculation method and system and a storage medium, and the method comprises the steps: sequentially carrying out the digital analysis, image enhancement and noise elimination processing of an input pipeline drawing, and improving the quality and consistency of original data; geometric parameters, text annotations and scale information are extracted by using an AI recognition model, and a mapping relation between a pixel coordinate system and a physical world coordinate system is established, so that automatic and intelligent extraction and structuring of engineering information are realized; constructing a three-dimensional parameterized model of the pipeline system based on the structured data, and forming a digital twin fusing geometric and material attributes; according to the method, thermal expansion calculation is carried out on each feature unit in the model based on the thermodynamic principle, correction is carried out according to the coupling relation between the feature units, accurate simulation is achieved, full-automatic digital closed loop from drawing recognition to result output is achieved, the problems that manual operation is low in efficiency and prone to making mistakes are solved, and the method is suitable for large-scale popularization and application. And the accuracy, the reliability and the engineering applicability of the calculation of the pipeline elongation are obviously improved.

The invention discloses a front-end-based three-dimensional model section cutting plane geometric analysis method and device, and the method comprises the steps: generating a plurality of collision surfaces based on a front-end three-dimensional model; generating a plurality of line segment groups based on a plurality of line segments obtained by collision between the three-dimensional model and the target collision surface; generating a plurality of polygons based on the plurality of line segment groups; determining attribute information of the polygons; and determining the geometric metric of the target geometric region based on the attribute information of the target polygon meeting the target condition in the plurality of polygons. According to the method, a plurality of polygons and corresponding attribute information are obtained by utilizing a plurality of line segments obtained by collision between a target collision surface and a three-dimensional model, geometric measurement of a target geometric area is determined by combining the attribute information of the polygons, and digital analysis of any section cutting plane of the three-dimensional model at the front end is realized. And the type and geometric measurement of the target geometric region are accurately identified, so that the geometric analysis of the section cutting plane of the front-end three-dimensional model is effectively realized.

The invention relates to the technical field of artificial intelligence, and discloses a material resource intelligent recommendation method based on theme coding and multi-layer feedback. The method comprises the following steps: performing digital analysis on a material and generating a unique theme code; classified storage is carried out based on theme codes; calculating topic correlation between the input material and a topic library; content correlation calculation is carried out based on the subject correlation degree, the text content correlation degree and the user feedback correlation degree; and outputting a recommendation result in combination with the personalized preference of the user. The calculation efficiency is improved through unique theme coding and XOR matching operation, the recommendation accuracy is improved through adaptive weight optimization driven by multiple layers of feedback data sources, and intelligent and accurate recommendation of material resources is achieved.

The invention discloses a geothermal resource assessment method and system based on big data analysis, and is applied to the technical field of digital analysis. The method comprises the following steps of obtaining multi-source heterogeneous data of historical drilling engineering, performing data preprocessing and feature engineering, and establishing a drilling success probability intelligent prediction-risk quantification model; in combination with geospatial information and environmental multi-source data, identifying an earth surface thermal anomaly region as a target region to perform geothermal potential assessment, and completing preliminary grading assessment of the target region; integrating seismic active band high-frequency monitoring data, inverting deep structure features by using a seismic wave velocity tomography technology, and performing multi-mode correlation matching with a target region; the coupling model realizes accurate evaluation and grading screening of a target region; and constructing a geothermal target area digital twinborn model fused with geologic and geophysical constraints, and realizing dynamic evaluation and productivity prediction of geothermal resources. Automatic geothermal resource evaluation is achieved, and efficient development and reasonable utilization of geothermal resources are promoted.

The invention relates to the technical field of data processing, and discloses an artificial intelligence-based data digital analysis matching method, which comprises the following steps of: obtaining a search word of cross-modal user behavior data; performing feature extraction on the user behavior data in the original user behavior database to obtain a first feature vector corresponding to each piece of user behavior data; the types of the user behavior data comprise text data, text-free picture data and text-containing picture data; performing similarity calculation by utilizing an intelligent matching model, and determining cosine similarity between each first feature vector and the search word; and performing analysis and matching according to the cosine similarity between each first feature vector and the search word, and determining target user behavior data. According to the method, the first feature vector is obtained by performing feature extraction on the user behavior data, and then image and text feature matching is performed on the first feature vector and the feature vector converted from the search word, so that cross-modal intelligent data matching between typical modes of images and texts is effectively realized.

The invention relates to the technical field of image-text processing, and discloses an image-text image data digital analysis processing method and system, and the method comprises the steps: collecting historical image-text image data, carrying out the analysis of the historical image-text image data, and determining an initial learning rate of a preset Transform model based on an analysis result; inputting the multi-modal historical fusion feature vector matrix into a preset Transform model to obtain a historical prediction result; calculating a historical prediction deviation coefficient of a preset Transform model based on an analysis result; obtaining a correction learning rate; obtaining a real-time image-text image influence coefficient corresponding to the real-time image-text image data; obtaining a compensation learning rate; and training a preset Transform model according to the compensation learning rate. According to the invention, the accuracy and efficiency of digital analysis and processing of image-text image data are effectively improved.

The application discloses a traffic management platform construction method and device and a traffic management method and system, acquires traffic basic data and carries out digital analysis to construct a traffic management semantic library, constructs a traffic management element periodic table from the semantic library, and the traffic management element periodic table is composed of various preset traffic management elements and traffic basic data corresponding to each type of traffic management element; the traffic management element is randomly combined to generate a corresponding traffic management scene library; the traffic management scenes in the traffic management scene library are randomly combined to generate a traffic management business library; and the traffic management platform for digital traffic management is constructed according to the traffic management semantic library, the traffic management element periodic table, the traffic management scene library and the traffic management business library, so that the programmable and calculable traffic management full chain can be realized, and templates and demonstrations can be provided for the construction of traffic management command centers in various places.

The present invention discloses a multi-dimensional analysis system for existing user archives based on power image recognition, including an integration layer, a business layer and a service layer; wherein the business layer includes a customer archive digitization unit, an archive digitization business application unit, a residential archive maintenance management unit, a customer archive digitization analysis unit, a customer archive public support management unit, an i State Grid app function optimization unit, an online State Grid app function optimization unit and an electronic archive security management unit. The present invention can solve the existing problems of not realizing the onlineization of the entire process of business expansion archives, and being in a weak position in terms of OCR recognition verification, unstructured data retrieval, and contract encryption capabilities. The present invention effectively improves the efficiency of customers' electricity handling, promotes online business, improves the level of customer interactive service management, improves the level of digital decision-making assistance, enhances the ability to mine data value, empowers corporate business decisions, and fully realizes maximum benefits.

The invention provides an analysis method of an in-situ leaching process, and belongs to the technical field of process mineralogy. According to the method, multi-scale penetration power parameter determination (ore structure and ore structure) is carried out by combining mineralogy characteristic digital analysis (mineral leaching property and mineral granularity characteristics), and finally quantitative indexes of the in-situ leaching process are determined. According to the method, automatic mineralogy analysis and seepage mechanics depth are coupled, closed-loop prediction of'mineral composition-leaching kinetics-economic indexes' is quantitatively analyzed, and a new analysis method is provided for low-grade resource development. Compared with a traditional trial and error method, related data of other metallurgical processes does not need to be determined through complex tests, the theoretical recovery rate can be rapidly measured, the index prediction efficiency is improved, and a basis can be provided for subsequent production and design optimization.

The invention discloses a digital analysis method and system based on nano lens high signal-to-noise ratio holographic imaging, and belongs to the field of biochemical analysis. According to the invention, the microsphere nanoprobe is combined with a high signal-to-noise ratio holographic microscopic imaging technology, the number of microsphere signal probes in a supernatant / immune complex is changed through a series of biochemical reactions, and high signal-to-noise ratio holographic imaging is carried out on the PS microsphere nanoprobe in the supernatant after magnetic separation; in the holographic imaging process, the surface acoustic wave-interdigital transducer is used for driving and forming a high-signal-to-noise-ratio lensless holographic microscope of a nano lens; and obtaining the number of the microsphere signal probes in the holographic image by using a lightweight unsupervised learning target detection algorithm, and finally realizing accurate quantitative detection of the target object to be detected. Experimental results show that the detection sensitivity and efficiency are effectively improved, and meanwhile the detection accuracy is improved.

The invention provides a fluorescent probe for ratio type detection of biogenic amine as well as a preparation method and application of the fluorescent probe, and belongs to the technical field of fluorescent sensing. According to the A-D-A type organic fluorescent small molecular material, a conjugated structure containing a hydrogen bond binding site is adopted as a donor, an intramolecular charge transfer (ICT) state can be formed after an electron withdrawing group is introduced, and the purpose of fluorescence detection of biogenic amine is achieved through change of ICT properties before and after hydrogen bond interaction. The material has the advantages of high sensitivity, quick response, remarkable color change and reusability when being used for fluorescence detection of biogenic amines. Furthermore, a portable detection platform based on a smart phone is also constructed, and visual and quantitative detection of the food freshness is realized through digital analysis of the fluorescence image.

The invention discloses a data processing method and device for image transmission of an unmanned aerial vehicle. The method comprises the steps that in the FPV unmanned aerial vehicle image transmission process, to-be-processed signal detection data are acquired, and the to-be-processed signal detection data are data used for representing detection of unmanned aerial vehicle simulation image transmission signals; performing signal screening processing based on time-frequency conversion on the to-be-processed signal detection data to obtain unmanned aerial vehicle image transmission signal data; and performing signal processing based on video signal recovery on the unmanned aerial vehicle image transmission signal data to obtain image transmission video data. The FPV unmanned aerial vehicle simulation image transmission is digitally analyzed through the software defined radio method, the problem that in the prior art, it is difficult for a special IC chip to support multiple frequency bands and multiple systems in the digital analysis process is solved, and digital analysis of image transmission of multiple types of unmanned aerial vehicles is achieved.

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.