222 results about "Database analysis" patented technology

The invention relates to the technical field of motor train unit battery pack evaluation, and provides a motor train unit battery health state evaluation and life prediction method and system, and the method comprises the steps: building a database through voltage fluctuation and temperature data in a floating charge state, and analyzing a correlation mechanism between target parameters, such as a battery capacity retention ratio and active lithium stock, and internal chemical substance loss; respectively extracting driving behavior characteristics, temperature parameters and electrochemical impedance spectroscopy by adopting second-level, minute-level and hour-level time granularity, and aligning multi-frequency data by utilizing a dynamic time warping algorithm; constructing a graph structure model taking the electrochemical parameters as nodes and cross-level association as edges, and extracting a battery aging characteristic topological relation through a graph neural network; and finally, establishing a prediction model fused with multi-dimensional features, and realizing accurate prediction of the residual life and the capacity recession inflection point of the battery. And the multi-scale characteristics are combined with an electrochemical mechanism, so that the accuracy of battery health state evaluation under a complex working condition is improved.

A large ship lock ship lockage early warning system based on historical database analysis comprises the following steps: S1, collecting ship lock operation historical data and fault historical data of a ship, and carrying out distribution similarity processing and common induction processing on the historical data to obtain a processed historical database; s2, performing time series data comparison analysis on the data set of each stage of real-time ship lockage and the database, and performing real-time early warning on abnormal vectors; and S3, prompting a ship party or ship lock personnel to check and analyze, thereby ensuring safe and efficient lockage of the ship and minimizing the accident probability and influence. According to the large ship lock ship lockage early warning system based on historical database analysis, data statistics and vectorization analysis are carried out on ship lockage conditions, and an application basis is established for a subsequent ship database.

The invention relates to the technical field of image processing, in particular to an endoscope image processing method based on photodynamic imaging and an endoscope imaging system.The endoscope image processing method based on photodynamic imaging comprises the steps that a focus image is collected through a photodynamic imaging endoscope, and preprocessing, three-dimensional reconstruction, combined reaction and curative effect database analysis are conducted; configuring an image processing module according to the request, and docking three-dimensional display; according to the method, the technical problem that the imaging request cannot be quickly and accurately responded due to the fact that the speed of endoscopic image processing through empirical data is low is solved, and the effects that the endoscopic image is finely processed, the photodynamic reaction features are extracted and the imaging request cannot be quickly and accurately responded are achieved. The technical effects that the optimal image enhancement parameter is adaptively searched, the imaging request is quickly responded, and the image targeting enhancement is performed are achieved, so that the focus area is accurately and visually displayed in a three-dimensional manner, and the output quality of the endoscope image is remarkably improved are achieved.

Systems and methods for a programming language-agnostic data modeling platform that is both less resource intensive and scalable. Additionally, the programming language-agnostic data modeling platform allows for advanced analytics to be run on descriptions of the known logical data models, to generate data offerings describing underlying data, and to easily format data for compatibility with artificial intelligence systems. The systems and methods use a supplemental data structure that comprises logical data modeling metadata, in which the logical data modeling metadata describes the logical data model in a common, standardized language. For example, the logical data modeling metadata may comprise a transformer lineage of the logical data model.

The invention discloses a visual database analysis method and system. The method comprises the steps of shunting statistics, slow query optimization, back-end server establishment, CRUD operation visual display and development of a front-end display interface. The invention belongs to the technical field of database analysis, and particularly relates to a visual database analysis method and system.According to the scheme, slow query optimization is adopted, a MySQL slow query log is configured on a back-end server, the position and the moving speed of beetles are calculated, the inertia weight is adjusted, and factors causing slow query are searched and analyzed by means of slow query log data; the query efficiency is improved; the method comprises the following steps of: counting operation requests of all CRUDs, recording operation types and times, updating and providing the operation requests to a front end in real time, decomposing and sorting operation data, performing singular value decomposition, performing principal component compression and calculating a target function to evaluate the operation condition of a rear-end server on a database, including overall efficiency and resource utilization; and adjusting the back-end server according to the analysis of the target function.

The invention relates to the technical field of blockchain risk control, and discloses an after-bid electronic warrant risk control method based on a blockchain smart contract. According to the method, historical warranty records are stored in a block chain distributed account book, and a risk background database is established; transaction data and state information of the electronic warrant after bidding are collected in real time, and a risk detection period is dynamically determined accordingly. And in the period, acquiring all the warranty event intensity indexes, and analyzing and marking suspected risk events in combination with the risk background database. If the suspected event exists, extracting features to judge whether the suspected event is a real risk event; if yes, calculating an initial risk coefficient according to the event frequency; extracting event feature vectors through an intelligent contract, and classifying risk events according to a distributed consistency algorithm; if the classification indicates a specific risk pattern, the initial risk coefficient is adjusted. And when the adjusted risk coefficient exceeds a preset threshold value, triggering the block chain smart contract to execute a hierarchical risk control strategy.

The present invention provides a method and system for migrating user habit data in a smart home. The method comprises: constructing a communication mechanism between a preset mobile terminal and each home device in a first scene; acquiring a device parameter of each device under different condition parameters by means of the mobile terminal, and uploading same to a preset database; analyzing habit data of a user for each first device; constructing a communication mechanism between the mobile terminal and each home device in a second scene; and inputting the habit data of the user into corresponding devices by means of the mobile terminal, such that each device adaptively adjusts the parameter according to the habits of the user in the first scene. According to the solution of the present invention, related data of different home devices is acquired by means of a mobile terminal, and habit data of a user for different home devices is analyzed according to a database, so that migration of user habit data for home devices is implemented between different scenes, and it is ensured that the user can obtain home experience most conforming to the habits of the user in a new scene.

The invention relates to the technical field of visual target analysis, and discloses a dynamic bright spot target statistics and analysis method based on visual tracking. According to the method, a reference video sequence is collected to construct a background model database, a real-time video stream data set is obtained, a visual bright spot target is detected, and an average brightness value is calculated as a detection reference threshold value. And a visual bright spot target is analyzed in combination with the background model database, and a potential abnormal bright spot target is identified and marked. And when a potential abnormal bright spot target exists, extracting spatial position information and movement track characteristics of the potential abnormal bright spot target, and judging whether the potential abnormal bright spot target is a real abnormal bright spot target. And after real abnormity is determined, calculating an initial risk assessment value according to the occurrence frequency, extracting morphological contour and size change features, and performing similarity grouping analysis by using a feature matching algorithm. And judging whether a dynamic flicker bright spot target exists or not according to an analysis result, if so, correcting an initial risk assessment value based on a flicker mode characteristic setting adjustment factor, and adjusting subsequent dynamic tracking frame rate setting according to the corrected value.

The invention relates to a software load computing resource virtualization allocation method and device, equipment and a medium. The method comprises the following steps: acquiring a task description vector of a task and real-time state data of computing resources; according to the task description vector of the task and a preset historical performance database, computing resources needed when the task is started are analyzed, and a starting feature vector is obtained; according to the starting feature vector and the real-time state data, calculating a computing power hotspot distribution diagram of the starting task; the computing power hotspot distribution map is used for representing the use condition of each computing resource at different time points when the task is started; based on the computing power hotspot distribution map, the task description vector and the real-time state data, simulating a competition condition when the task is started, and obtaining resource competition intensity quantitative data; generating a task pre-allocation scheme according to the resource competition intensity quantitative data and the real-time state data; the pre-allocation scheme is used for representing the allocation relationship between the task and each computing resource. By adopting the method, the computing power resource utilization rate can be improved.

A method (100) for encrypted similarity searching of a database, comprising: (i) providing (120) a database comprising a plurality of homomorphically-encrypted fixed-length data fingerprints; (ii) receiving (130) an encrypted query; (iii) generating (140) a fixed-length query data fingerprint; (iv) homomorphically encrypting (150) the fixed-length query data fingerprint; (v) generating (160) a fixed-size query data fingerprint table; (vi) comparing (170) the homomorphically-encrypted fixed-length query data fingerprint to every homomorphically-encrypted fixed-length data fingerprint, wherein each comparison generates a distance; (vii) identifying (180), using the generated distance between the homomorphically-encrypted fixed-length query data fingerprint and every homomorphically-encrypted fixed-length data fingerprint, one or more data files in the database having a minimal generated distance; and (viii) reporting (190) the identified one or more data files.

The invention relates to the technical field of database analysis, in particular to a database upgrading method, which comprises the following steps of: establishing a double-engine parallel environment, starting new and old version database engines and constructing a cross-version communication channel; in response to the established communication channel, the client request is routed to the new and old engines in parallel for execution through the transaction dispatcher; based on a transaction operation log generated by an old engine, data change features are analyzed in real time, and an increment synchronization instruction set is generated; implementing version-coordinated transaction lock management when the new engine performs data playback according to the generated incremental synchronization instruction set; after the data consistency verification of the preset period is completed, switching a transaction route to a new engine and closing an old engine write-in channel; through double-engine parallel processing, incremental data synchronization and a cross-version lock coordination mechanism, the purposes of no service interruption and high data consistency in the database version upgrading process are achieved.

The invention discloses a Bayesian network risk model construction method for reservoir dam risk evaluation, and the method comprises the steps: constructing a historical dam break database, analyzing risk causes, and building a behavior influence factor index system comprising internal factors and external factors; performing factor correlation analysis by using an approximate value matrix and a Pearson's correlation coefficient, determining subjective weights of indexes at all levels by using an analytic hierarchy process of expert scoring judgment, determining objective weights of the indexes by using a BP neural network, and performing weighted combination on the weights; establishing a reservoir dam Bayesian network risk model considering human factors according to an analysis result, establishing an evaluation standard of each secondary index in the Bayesian network in combination with engineering practice, and formulating a judgment basis of each grade in detail according to the evaluation indexes so as to quantify a risk error probability and improve the risk accuracy. And calculating a reliability result through the Bayesian network and the combined weight of each level of indexes, and taking the reliability result as an index for judging the risk level of the reservoir.

To provide a PET discrimination method that is an objective method in which discrimination operation is comparatively simple and that can discriminate homogeneous polyester resins (including fiber).SOLUTION: The discrimination method includes: obtaining infrared or near-infrared absorption spectra of respective comparison resins of a group A of a plurality of comparison resins that are recycled PET resins and a group B of a plurality of comparison resins that are virgin PET resins; extracting spectral data in a predetermined wavenumber range from the absorption spectra to accumulate an analysis data group obtained by multivariate analysis of the spectral data as a database; and taking an unknown resin to be a resin under test, obtaining test data obtained by extracting spectral data in the predetermined wavenumber range from the obtained absorption spectra, collating with the analysis data group of the database by the multivariate analysis to discriminate whether the resin under test is recycled PET resin or virgin PET resin.SELECTED DRAWING: Figure 6

The invention discloses application of ZMYM1 as a biomarker in liver cancer diagnosis and / or treatment. The expression of ZMYM1 in liver cancer patients is up-regulated. Database analysis, cell experiments and animal model experiments prove that ZMYM1 is a cancer promoting gene of liver cancer, ZMYM1 interacts with METTL3 to promote migration of tumor cells and improve the inflammation level in a tumor microenvironment, and finally the effect of promoting the progress of liver cancer is achieved. Based on TCGA, GEO, ICGC and NGDC databases, the application of the ZMYM1 as a biomarker in liver cancer diagnosis, liver cancer prognosis risk assessment, liver cancer immunotherapy effect prediction and targeted drug therapy effect prediction is provided according to a bioinformatics analysis result, so that a prevention scheme or a treatment scheme is clinically provided for a subject, and the clinical application of the ZMYM1 in liver cancer diagnosis, liver cancer prognosis risk assessment, liver cancer immunotherapy effect prediction and targeted drug therapy effect prediction is promoted. The precise molecular treatment of the liver cancer is realized.

The invention relates to an electronic program guide generation method and device, equipment and a medium, and belongs to the technical field of electronic program guides, and the method comprises the steps: obtaining historical watching program records, real-time playing program data and a program database; analyzing the historical program watching records to obtain watching preference characteristics; analyzing the real-time playing program data to obtain real-time program characteristics; analyzing the program database to obtain program characteristics of each program in the program database; calculating a first similarity between the watching preference feature and the real-time program feature, and generating a reference score according to the first similarity; calculating a second similarity between the watching preference feature and the program feature of each program in the program database, and generating a comparison score according to the second similarity; screening the programs of which the comparison scores are greater than the reference score in a program database, and setting the programs as to-be-played programs; and sorting the comparison scores of the to-be-played programs, and generating an electronic program guide according to a sorting result.

The invention discloses a biomarker combination for predicting lung metastasis of breast cancer and application of the biomarker combination. The biomarker combination for predicting lung metastasis of breast cancer comprises MUC16, MAP3K13, NR4A3, FAM111A, ZNF562 and NRP1. According to the invention, a GEO database and a TCGA database are combined, a biomarker combination for predicting lung metastasis of breast cancer is obtained through analysis and screening, and potential gene characteristics closely related to development of lung metastasis of breast cancer patients are further determined by analyzing expression levels of six biomarker genes and interaction with a tumor environment. And a more effective and personalized tool is provided for prediction and treatment of breast cancer.

The invention belongs to the technical field of gas detection, and particularly relates to a device and a method for detecting decomposition products of insulating gas perfluoroalkyl nitrile. The device comprises a gas collection module, a pretreatment module, a multi-technology combination module, a detection gas chamber and an intelligent data processing and control system, wherein the gas collection module collects and concentrates a gas sample through an equipment gas chamber sampling unit and a low-temperature enrichment unit; the pretreatment module purifies gas and converts complex components through a high-efficiency filter, a dryer and a catalytic conversion unit; the multi-technology combination module is used for separating gas by using a micro gas chromatography unit and carrying out qualitative analysis by using an infrared spectrum unit; a gas sensitive sensor array of the detection gas chamber realizes multi-dimensional detection; a storage module of the intelligent data processing and control system stores various databases, an analysis module calls the databases to analyze multi-module data, and sampling, detection and intelligent analysis of decomposition products are achieved. The problems that existing detection has a leak detection condition and lacks pertinence and high efficiency are solved.

The invention provides a highway heavy fog weather dynamic risk assessment method, and relates to the technical field of traffic safety, and the method comprises the steps: collecting highway historical traffic data, and extracting and preprocessing a historical risk factor data set to construct a heavy fog weather risk analysis database; analyzing the incidence relation between the risk factor and the accident, extracting the space-time and dynamic characteristics of the risk factor, identifying a combined action mode, and building a four-layer risk fusion assessment framework after obtaining a risk evolution rule; and inputting current risk factor data, carrying out framework processing, and outputting a quantitative dynamic risk assessment value with a confidence interval. According to the method, the staged adjustment of risk modeling is realized by extracting the multi-dimensional dynamic features, the weight is dynamically corrected, the factor interaction is quantified, the evaluation value is iteratively optimized, and the confidence interval is output, so that the limitation that the traditional static modeling cannot adapt to the dynamic change of the heavy fog risk is broken through, and the real-time performance, the accuracy and the scene adaptability of risk evaluation are greatly improved.

The invention provides a passenger ropeway operation monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining data collected by an intelligent sensor, and building a ropeway operation database; analyzing historical data to construct an anomaly diagnosis model; inputting the first data into the model to obtain an abnormality diagnosis result; controlling a camera to collect video image data, analyzing a video, and recognizing a compartment posture and passenger behaviors to obtain a video recognition result; analyzing the cableway abnormity diagnosis result and the video identification result to obtain an abnormity analysis result; constructing a three-dimensional digital model of the first passenger ropeway, and mapping the real-time operation data into the model to generate a digital twinborn model; and when an abnormal condition occurs, generating an abnormal processing scheme according to the digital twin model and an abnormal analysis result, triggering a braking system and a safety control device, and adjusting operation parameters. Through the scheme of the invention, the abnormity can be monitored and diagnosed in real time, and the safety and the operation efficiency can be improved through an automatic means.

The invention discloses a method for evaluating and controlling response of a shield to approaching tunneling superimposed disturbance, and relates to the technical field of shield tunnel construction, the method comprises the following steps: constructing a multi-dimensional information database of stratum conditions of a docking area; the multi-dimensional information database comprises butt-joint section stratum parameters, shield tunneling parameters and butt-joint space-time parameters and is used for extracting preceding shield mechanical behavior characteristics and following shield mechanical behavior characteristics; based on the multi-dimensional information database, analyzing the resistance of the preceding shield structure, and determining the additional load borne by the preceding shield according to the additional load generated by tunneling of the following shield and the initial stress field around the preceding shield; and establishing a response evaluation system of a load-resistance ratio according to the resistance of the preceding shield structure and the additional load borne by the preceding shield to judge a disturbance level, and adopting a micro-disturbance control measure according to a disturbance level judgment result. According to the method, the risks of advanced shield displacement overrun and tunnel instability caused by complex evolution of an additional stress field can be solved.

The invention relates to the technical field of quality management, in particular to a digital technology-based quality management system, which comprises a database, an analysis processing module, a quality management module, a raw material management module, an equipment management module, a product management module, a storage management module and a display and input unit, and the analysis processing module is bidirectionally connected with the quality management module. Through the arrangement of the raw material management module, the equipment management module, the product management module and the storage management module, the quality management system has the advantages of product whole-process quality tracing and improvement of enterprise product market competitiveness; the problems that the quality management of the whole process of product production lacks the quality tracing of the whole process, the management effects of reducing the product cost and improving the product quality are not good, and the market competition of enterprise products is not facilitated are solved.

The invention relates to a dynamic data migration method and device, equipment and a medium, and the method comprises the steps: obtaining a database analysis log, extracting a first access record of each data table in a preset period, merging the first access record corresponding to each data table with a historical access record, and obtaining an updated data access record; scoring the data access records based on scoring rules, generating corresponding table scoring data, and constructing a priority scoring table based on the table scoring data and screening conditions; calling a data migration service to regularly obtain a priority score table, comparing table score data in the priority score table with an evaluation threshold value, and determining a data table list needing data migration; and calling the metadata interface to update the storage configuration information corresponding to the data table list, and executing data migration operation on the data table based on the data migration service. According to the method, different score data tables stored in the same city are dynamically migrated, and the data availability is improved while the method is compatible with an existing technical architecture.

The invention discloses an infant cry detection and translation system based on voice feature recognition in the technical field of voice recognition. The infant cry detection and translation system comprises a cloud database, an intelligent system and acquisition equipment, the intelligent system comprises an acquisition module, a preprocessing module, an analysis module, a translation module, a feedback module, an input module and an adjustment module. The acquisition module is used for acquiring environment sound and various indexes of a baby; the preprocessing module is used for preprocessing voiceprint information; the analysis module is used for calling the cloud database, analyzing and judging the infant crying reason and analyzing the environment sound condition; the translation module is used for translating the baby cry and sending suggestions to the guardian terminal; the feedback module is used for receiving feedback information; the input module is used for recording feedback information and various indexes of the baby; and the adjusting module is used for adjusting the system sensitivity. According to the system, sound information of the environment where a baby is located is collected through the collection module and is analyzed by the analysis module, and finally the sensitivity of the system is adjusted through the adjustment module.

The invention relates to the technical field of database analysis, and particularly discloses a building construction quality tracking analysis management system based on a BIM technology, and the system comprises an initial module which determines a maintenance period according to the maintenance record of a building outer wall in a preset collection period; collecting the falling data in the maintenance period; the analysis module is used for generating a proportion set according to the building outer wall falling area in the falling data; calculating a falling value according to the proportion set and the falling data, generating coordinate points, and fitting the coordinate points to obtain a fitted curve; and the screening module is used for calculating risk coefficients according to the coordinate points and the fitting curve, and screening abnormal buildings according to the risk coefficients. The abnormal building can be screened according to the historical falling condition of the outer wall of the building, and the cost required for regularly maintaining the outer walls of all the buildings is reduced.

The invention relates to a pneumoconiosis risk assessment index construction and judgment method, and belongs to the technical field of health risk assessment, and the method comprises the following steps: S1, analyzing a co-occurrence relationship between pneumoconiosis risk index keywords by using a literature retrieval database; s2, preliminarily determining a pneumoconiosis risk index according to the co-occurrence relationship, and determining a consulting expert; s3, collecting scores and opinions of experts on each index; s4, calculating composite weights of the indexes based on expert scoring and literature metering; s5, according to the screened indexes, constructing a pneumoconiosis disease risk assessment index system with three levels of indexes; and S6, predicting the pneumoconiosis risk of the user by using the pneumoconiosis risk assessment index system.

The invention belongs to the technical field of nuclear emergency, and discloses a rapid analysis scheduling method for a nuclear accident emergency response stage, and the method comprises the steps: rapidly calling a database analysis result, displaying an accident situation, and generating a preliminary countermeasure suggestion in a rapid research and judgment stage at the initial stage of an accident; during nuclear accident emergency response, according to an accident state analysis result, a source item calculation result and a nuclear accident evaluation result, a corresponding emergency plan is quickly searched from a nuclear emergency plan library, and decision-making problem background data is provided to assist in making key points clear and modifying and perfecting a model, so that the nuclear accident emergency response is realized. Multidisciplinary knowledge such as a computer technology, management science and an artificial intelligence technology is comprehensively utilized, a nuclear emergency command decision technology based on knowledge engineering, a scheme is listed and other modes are established, an analysis result is displayed in a two-dimensional and three-dimensional geographic information system, and decision support is provided for commanders and professionals.

The present application relates to the technical field of visual target analysis, and discloses a dynamic bright spot target statistics and analysis method based on visual tracking. The method collects a reference video sequence to construct a background model database, acquires a real-time video stream data set, detects visual bright spot targets and calculates average brightness values as detection reference thresholds. The visual bright spot targets are analyzed in combination with the background model database to identify and mark potential abnormal bright spot targets. When there are potential abnormal bright spot targets, their spatial position information and motion trajectory features are extracted to determine whether they are real abnormal bright spot targets. After being determined as real abnormal bright spot targets, initial risk assessment values are calculated according to the occurrence frequencies, shape contour and size change features are extracted, and a feature matching algorithm is used for similarity grouping analysis. According to the analysis result, it is determined whether there is a dynamic flickering bright spot target. If there is, an adjustment factor is adjusted based on the flickering mode features to correct the initial risk assessment value, and the subsequent dynamic tracking frame rate is set according to the corrected value.

The invention discloses a combined drive control method and system for a functional concrete processing cycle, and relates to the technical field of intelligent control, and the method comprises the steps: carrying out the multi-dimensional feature collection of raw materials of concrete, obtaining the feature information of the raw materials, and carrying out the screening analysis of a combined drive control database through taking the feature information as a constraint, thereby obtaining a control reference database; dividing a control reference database; analyzing functional requirements of the concrete, and determining a functional evaluation plan; performing optimization traversal on the reference library without the additives to obtain a first optimal control strategy, and performing optimization traversal on the reference library with the additives to obtain a second optimal control strategy; and comparing the first optimal control strategy with the second optimal control strategy to obtain a target control strategy, and performing combined drive control on the concrete. The technical problem that the processing control strategy cannot be intelligently matched according to the characteristics of the concrete raw materials in the prior art is solved, and the technical effects of accurate matching and functional control optimization of the concrete processing strategy are achieved.

The embodiments of this specification disclose a method, device, and medium for running analysis of an Oracle database, relating to the technical field of database analysis, and are used to solve the problem that existing evaluations cannot comprehensively reflect the actual situation of the database during operation. The method includes: connecting to the Oracle database to be evaluated based on a preset protocol to collect and obtain the metadata and log files of the Oracle database to be evaluated; preprocessing the metadata and the log files to obtain processed data, and storing the processed data in partitions based on a preset time interval and log type; performing real-time stream processing on the processed data based on the bottleneck query identifiers corresponding to each partition to obtain the real-time stream data of the Oracle database to be evaluated; according to the analysis items triggered by the Oracle database to be evaluated, calling the real-time stream data corresponding to the analysis items, and determining the analysis results of the Oracle database to be evaluated based on the real-time stream data and the analysis process corresponding to the analysis items.

The application discloses a method for establishing a non-material cultural heritage space-time database, characterized in that, a basic space-time database is first established to arrange time events of the non-material cultural heritage, then a transmission space-time database is established to analyze space information such as a spatial distribution dispersion degree of the non-material cultural heritage at a transmission destination, a spatial transmission distribution feature of the transmission destination and a spatial action feature of the transmission destination, and then a chronicle space-time database is jointly constructed through the space information and the time events. Thus, the relevant chronicle theme information is associated with basic geographic elements, the non-material cultural heritage landscape pattern described in the chronicle can be presented, and the space-time process of cultural transmission and diffusion can be excavated.