84 results about "Database analysis" patented technology

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 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.

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.

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 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 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 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 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 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.

Exemplary systems and methods for visualization of data analysis are provided. In various embodiments, a method comprises accessing a database, analyzing the database to identify clusters of data, generating an interactive visualization comprising a plurality of nodes and a plurality of edges wherein a first node of the plurality of nodes represents a cluster and an edge of the plurality of edges represents an intersection of nodes of the plurality of nodes, selecting and dragging the first node in response to a user action, and reorienting the interactive visualization in response to the user action of selecting and dragging the first node.

This invention discloses a retrieval enhancement generation method for terahertz absorption spectroscopy diagnostics. The method includes: collecting terahertz absorption spectral data of biochemical substances; establishing a terahertz absorption spectral text structure database; establishing a terahertz absorption spectral image structure database; establishing a terahertz absorption spectral structure database; constructing a text vector library in the field of terahertz spectroscopy detection; determining the user question type and extracting structured information; if the user question is a terahertz absorption spectroscopy diagnostic question, then analyzing influencing factors and generating a query question, rewriting the user question into a query question; retrieving the text vector library in the field of terahertz spectroscopy detection based on the query question; generating an answer through a large language model and returning it. This method analyzes and calculates the influencing factors of terahertz absorption spectroscopy based on a structured database and rewrites the query question into a query question more suitable for RAG retrieval, improving the efficiency of researchers in diagnosing absorption spectra and retrieving knowledge in the field of terahertz spectroscopy detection.

Methods and systems for generating a global database profile are described. The methods and systems receive, from each of a plurality of layers of a database system, profiling data, the profiling data comprising a first set of profiling data received from a first layer of the plurality of layers and a second set of profiling data received from a second layer of the plurality of layers, the profiling data representing database logic operations and physical states at each of the plurality of layers. The methods and systems aggregate the profiling data received from the plurality of layers into global database profiling data associated with the plurality of layers of the database system and present visual output based on the profiling data, the visual output representing the database logic operations and the physical states at each of the plurality of layers over time.

The invention discloses a protection equipment management system and method based on multi-source data, and relates to the technical field of protection equipment management. Monitoring unit division is carried out on a monitoring area, bird characteristics of the monitoring area are obtained, a bird characteristic database of the monitoring units is established, and the monitoring units with similarity meeting a threshold value are selected as template units; the method comprises the following steps: establishing a template unit database, calling historical use data of protection equipment to obtain a protection equipment template, analyzing the protection equipment template according to a bird feature group, establishing a template database comprising an undetermined protection equipment template, and analyzing the use priority of the undetermined protection equipment template. When a task for protecting a new monitoring unit is received, the undetermined protection equipment template with the highest priority degree is screened, and after a preset updating period is finished, data updating is conducted on the database, the historical protection effect is quantitatively evaluated, the protection equipment template is screened out to serve as an undetermined option, and the reliability of the selected template is enhanced.

The invention discloses a method and device for rapidly collecting and analyzing slow query reasons of a MySQL database in Java, and relates to the technical field of database analysis. The method comprises the steps that a service thread is constructed, and the service thread is achieved through a database access framework mybatis interceptor and used for processing a query method with execution time exceeding a specified threshold value; and constructing an acquisition thread, and when the acquisition thread is triggered by the service thread, acquiring an execution plan and table establishment information in a database according to the SQL information transmitted by the service thread, and then outputting the execution plan and the table establishment information. According to the method and device for rapidly collecting and analyzing the slow query reason of the MySQL database in the Java, the slow query information and reason of the MySQL database are actively collected and analyzed at the Java program end, the collected information is more accurate, the information content is richer, noise is lower, and the method and device are very suitable for analyzing the problems of unreasonable database SQL and the like.

This invention discloses the application of ITPRIPL1 as a biomarker for the diagnosis or prognosis of gastric cancer. Database analysis revealed high expression of ITPRIPL1 in gastric cancer patients. Immunohistochemical staining of samples from clinically diagnosed gastric cancer patients further validated its high expression in gastric cancer tumor cells, with higher ITPRIPL1 expression levels observed in lower-differentiated tumor tissues. This invention provides a novel biomarker for the diagnosis and prognosis of gastric cancer, offering new ideas and directions for immunotherapy of gastric cancer.

The application provides a method for extending time series database analysis capability, and relates to the field of data analysis, which comprises the following steps: constructing a time series data analysis system for providing time series data analysis service independently of a time series database system, and extending, upgrading and maintaining the time series data analysis system without affecting the normal operation of the time series database system; adding an adaptive interface in the time series data analysis system, and calling different time series data analysis models; establishing an analysis operator for the time series data analysis service in the time series database system, and the analysis operator calling the corresponding time series data analysis model through the adaptive interface to complete time series data analysis in the execution of an SQL query process, so that interaction between the time series database system and the time series data analysis system which are isolated from each other in the processing flow is realized, and the complexity of the analysis and processing process is shielded.

The invention relates to a method for evaluating official examination certificates concerning industrial property rights, comprising the following steps: providing the official examination certificate as an electronic file, text analysis of the official examination certificate, AI-supported evaluation of the results of the text analysis to identify and assess listed obstacles to the granting of protection by a plurality of dedicated AI agents, calculation of respective scores based on the identified and assessed obstacles to the granting of protection, database analysis using a historical database of other industrial property rights to classify the examined industrial property right with regard to further relevant parameters.Calculation of the expected workload for the successful completion of a protection granting procedure based on the score and other relevant parameters, and output of this expected workload and AI-supported evaluation.

This invention relates to an intelligent merchandise shelf management system and its operation method, comprising an operation display device for users to input merchandise requirements; an information module electrically connected to the operation display device and including an analysis module and a merchandise database, wherein the analysis module receives and analyzes the input merchandise requirements and compares them with the merchandise database to select matching merchandise data; a content management system electrically connected to the information module and receiving merchandise data provided by the analysis module; and a sales point information system containing several items of merchandise sales-related information and electrically connected to the content management system; the content management system compares the merchandise data with the several items of merchandise sales-related information to obtain merchandise sales-related information matching the merchandise data and transmits the merchandise sales-related information to the operation display device.

The invention discloses a new energy construction intelligent construction site safety supervision system, and relates to the technical field of intelligent monitoring, and the system comprises an environment detection module which comprises a plurality of security cameras; the personnel management module comprises a plurality of intelligent wearable devices; an identity recognition unit, a personnel positioning unit and a state display unit are integrated in the intelligent wearable device; a database, an analysis and prediction unit, a permission allocation unit and a warning unit are integrated in the management platform; a three-dimensional electronic map, basic information of each worker and alarm records are stored in the database; the permission distribution unit is used for setting behavior permissions of corresponding workers; the analysis and prediction unit is used for identifying unsafe behaviors and sending the identified unsafe behaviors to the monitoring end to be manually confirmed by monitoring personnel; the algorithm model is perfected through a mode of combining data mining and manual correction, the safety management and control capability is improved, and the safety management level is improved.

The invention belongs to the technical field of shield muck, and particularly relates to a shield muck ecological material performance prediction system, which comprises the following steps: 1, muck parameter real-time acquisition: deploying a muck parameter real-time monitoring module on a conveyor belt of a slag outlet of a shield spiral conveyor, and continuously scanning passing muck by a two-dimensional laser radar in the monitoring module to obtain a muck parameter real-time monitoring result; point cloud data of the surface of the muck are obtained, an encoder in the monitoring module records the running speed of the conveying belt in real time, and a near infrared spectrum sensor and an industrial camera in the monitoring module detect the water content of the muck online and capture muck particle morphology images correspondingly. According to the shield muck ecological material performance prediction system, the shield muck ecological material performance prediction system is arranged, influence factors influencing the ecological material performance after muck reproduction are analyzed, a deep learning neural network is established, data are integrated, a database is formed, and correlation and data characteristics between the data are analyzed; and selecting a proper network model.

The invention discloses an application of PINK1 in regulation and control of ER positive breast cancer tamoxifen drug resistance. The invention relates to application of PINK1 as a biomarker in evaluating the tamoxifen resistance of ER positive breast cancer cells. The drug resistance is evaluated by detecting the expression level of PINK1 in a sample and combining mitochondrial autophagy activity. The expression level of the PINK1 comprises an mRNA level and / or a protein level. According to the invention, the drug resistance formation process is systematically analyzed from the perspective of quality control of an organelle of mitochondrial autophagy, and through public database analysis and experimental verification, the overall up-regulation of the mitochondrial autophagy pathway in drug-resistant cells is clearly revealed, and the drug-resistant phenotype is promoted by maintaining the mitochondrial steady state, thereby opening up a new direction for understanding the drug-resistant mechanism.

The system of the embodiment aims to automatically verify the accuracy of the answer generated by the generation AI and provide the correct answer. [Solution] A system according to an embodiment includes a reception unit, a search unit, an analysis unit, a generation unit, and an output unit. The reception unit receives an answer generated by a generation AI. The search unit searches a literature database using keywords related to the answer received by the reception unit. The analysis unit analyzes the content of the literature acquired by the search unit. The generation unit verifies the answer generated by the generation AI based on the content of the literature analyzed by the analysis unit, and generates a correct answer. The output unit provides the correct answer generated by the generation unit to a user.

The invention discloses a robot control system and method for industrial automation, and belongs to the technical field of robot intelligent control. The system comprises a job management module, a data acquisition module, an analysis database, an analysis model management module, a space-time model management module and an instruction dynamic adjustment module. The operation management module is used for respectively controlling the robot to complete a production part carrying task; the data acquisition module is used for acquiring transportation data; the analysis database is used for storing historical data; the analysis model management module is used for analyzing the influence of different path conflict types on the path adjustment duration in the robot production part carrying process; the space-time model management module is used for predicting a moving path of each robot in future time; the instruction dynamic adjustment module is used for dynamically adjusting a control instruction set of each robot; the control instruction set of the robot is dynamically adjusted, and the equipment utilization rate and the cooperation capability of the robot are improved.

The invention discloses a battery electric vehicle fault diagnosis method and system based on a case library and a circuit diagram. The system comprises an input module, an analysis processing module, a case updating module, an output module and a database module. The input module is used for receiving fault phenomena and fault removal confirmation information, the analysis processing module is used for achieving progressive diagnosis of case retrieval and circuit analysis, the case updating module is used for completing integration, duplicate removal and storage of new cases, and the output module outputs diagnosis results and related state information. The database module is used for storing fault cases and automobile circuit diagrams. According to the method, the diagnosis logic that cases are matched at first and cases do not exist on the basis of circuit diagram database analysis is adopted, a case dynamic updating mechanism is combined, rapid diagnosis of known faults and accurate analysis of unknown faults of all systems of the pure electric vehicle are achieved, and meanwhile the coverage range of a case library for the faults of the whole system is continuously expanded.

The invention discloses an application of CUTA as a biomarker in diagnosis and / or treatment of liver cancer, and particularly discloses an application of a reagent for detecting CUTA in preparation of a product for diagnosing liver cancer, and the expression of the CUTA in a liver cancer patient is up-regulated. The invention provides application of CUTA as a liver cancer biomarker. Database analysis, cell experiments and clinical sample verification prove that CUTA is a cancer promoting gene of liver cancer. Based on a plurality of public databases such as a TCGA database and a GEO database, the invention provides the application of the CUTA as a biomarker in liver cancer diagnosis and liver cancer prognosis risk assessment according to a bioinformatics analysis result, and a large number of clinical samples are used for performing efficacy verification, so that the application of the CUTA in liver cancer diagnosis and liver cancer prognosis risk assessment is realized. It is proved that the CUTA can serve as the liver cancer biomarker to provide a prevention scheme or a treatment scheme for subjects clinically, and precise molecular treatment of the liver cancer is achieved.

This invention relates to a method, device, electronic equipment, and medium for scheduling fracturing equipment based on digital twins, belonging to the field of resource optimization technology in petroleum exploration operations. The method applies digital twin technology to the scheduling of fracturing equipment. By constructing a twin well site, selecting a scheduling scheme, and conducting simulations and iterations, a better scheduling scheme is obtained. Combined with manual intervention, historical database analysis, and access control, this improves the efficiency of fracturing equipment management, reducing idle time caused by relying on manual experience, minimizing blind spots in fracturing resource scheduling, lowering costs, and increasing operational efficiency. The device, electronic equipment, and medium based on this invention improve the application efficiency of the method and expand its applicability. It is suitable for scheduling fracturing equipment.

The invention discloses a thermal power generating unit start-stop control method and device, electronic equipment and a storage medium, and relates to the technical field of thermal power generation, and the method comprises the steps: collecting multi-dimensional data in the start-stop process of a thermal power generating unit, and constructing a start-stop database; analyzing a historical operation rule based on the start-stop database, formulating a countdown management and control system taking the brake or grid connection time of the thermal power generating unit as a time zero point, and generating a time axis of a key path in a start-stop stage; establishing a multi-specialty collaborative standardized operation process map according to the time axis, and tracking the start-stop progress of each system device in real time through a visual monitoring platform; a dynamic parameter control strategy is adopted, the opening degree of a control valve and load changes are adjusted by combining with the equipment state according to the sliding parameter shutdown logic of first cooling and then depressurization, and precise control over the start-stop process is achieved. The method has the technical effects of reducing starting and stopping cost and equipment service life loss, improving multi-specialty cooperation efficiency, achieving safe, accurate and controllable starting and stopping processes and improving the unit availability and economic benefits.

The invention discloses an application of DRAP1 as a biomarker in diagnosis and / or treatment of liver cancer, and particularly discloses an application of a reagent for detecting DRAP1 in preparation of a product for diagnosing liver cancer, and expression of DRAP1 is up-regulated in liver cancer patients. The invention provides application of DRAP1 as a liver cancer biomarker. Database analysis, cell experiments and clinical sample verification prove that DRAP1 is a cancer promoting gene of liver cancer. On the basis of various public databases such as a DRAP1 database and a GEO database, the application of DRAP1 as a biomarker in liver cancer diagnosis and liver cancer prognosis risk assessment is provided through a bioinformatics analysis result, efficacy verification is carried out by using a large number of clinical samples, and the application of DRAP1 as a biomarker in liver cancer diagnosis and liver cancer prognosis risk assessment is provided. It is proved that DRAP1 can be used as a liver cancer biomarker to provide a prevention scheme or a treatment scheme for subjects clinically, and precise molecular treatment of liver cancer is achieved.