293 results about "Metadata analysis" patented technology

The invention relates to the technical field of financial data processing, in particular to a multi-source heterogeneous fund data processing method and system, and the method comprises the steps: recording source information through building a data source registry, and marking a unique identifier for data; performing differential analysis on the fund data in different formats to generate standardized column type storage data; traversing column type storage data to extract statistical characteristics, performing field classification through metadata analysis and financial dictionary matching, analyzing business connotations of fields difficult to classify in combination with a localized large language model, and mapping the business connotations to a header fusion knowledge graph; generating a mapping rule from the source field to the enterprise-level data model by applying a rule engine template on the basis of field classification and semantic recognition results; converting the data structure according to the mapping rule and executing standardization processing; the quality is further optimized through data cleaning; and finally, the data are verified, standardized fund data supporting data traceability are output, and the strict requirements of financial supervision application are met.

The invention discloses a low-code platform based on a component library and a form engine, and relates to the field of data processing. The platform comprises a design system, an application system and a service system. The design system is provided with a form designer and a template manager, the form designer can configure a form component to generate a description file, and the template manager supports separate storage of a page template; the application system comprises a form analysis engine, a UI rendering engine and a reusable resource management component, the analysis engine analyzes configuration generation logic, the rendering engine loads a resource rendering page, and the reusable resource management component stores resources and generates configuration; the service system comprises a metadata analysis engine and an SQL assembler, the metadata analysis engine analyzes business rules to generate SQL and filtering strategies, and the SQL assembler generates operation statements adaptive to multiple data sources. Through the modular architecture design and the dynamic analysis mechanism, the problem that a low-code platform is insufficient in flexibility and usability is solved.

The invention relates to an automatic protocol adaptation method for a real-time access system of multi-source equipment. The data acquisition layer receives original protocol data sent by equipment and transmits the original protocol data to the protocol adaptation layer. And the protocol metadata analysis module extracts, analyzes, compares and matches the data, and automatically identifies the protocol type of the equipment. The rule engine converts original protocol data into a system unified internal data format according to a conversion rule and then transmits the original protocol data to the data processing layer, and after cleaning, integration, analysis and other operations are carried out, the original protocol data are transmitted to the application interface layer to be called by an upper-layer application system. And when new protocol equipment is accessed, the hot plug function allows the system to dynamically load the new protocol adapter module in a state of not stopping running. According to the method, automatic adaptation of a new protocol is achieved through rapid deployment of the containerized micro-service architecture in combination with newly added protocol rules and metadata of the protocol management module, the whole process does not need to compile and publish the system again, and efficient and stable operation of the multi-source equipment real-time access system is guaranteed.

The present invention provides a data processing method for a heart rate monitoring system, and belongs to the technical field of data processing. The present invention effectively solves the problems that heart rate monitoring systems have low accuracy in acquiring raw heart rate data of patients, have difficulty in removing heart rate interference factors, and require precise heart rate value data and analysis results. The present invention is used in a heart rate monitoring system, and the heart rate monitoring system comprises: a power supply apparatus, an information acquisition apparatus, an information conditioning module, a data fusion unit, a data analysis module, an anomaly detection alarm module, a display unit, and a storage unit. The present invention comprises the following steps: S1, information acquisition; S2, information conditioning; S3, data fusion; and S4, data analysis. The present invention can ensure that the heart rate monitoring system can accurately and reliably monitor and interpret heart rate data during data processing, thereby providing more reliable support for clinical practice.

The invention discloses a fishing light complementation scene unmanned aerial vehicle inspection system, and relates to the technical field of unmanned aerial vehicle inspection, the fishing light complementation scene unmanned aerial vehicle inspection system comprises a ground management and control platform and a monitoring device which communicate with each other through a network, and the ground management and control platform is used for regularly collecting and identifying fishing light complementation scene image information and environment data; the image information and the environment data are processed, analyzed and pre-warned, the monitoring device is used for comprehensively monitoring the image and the environment data of the fishing-light complementary scene, and the ground management and control platform comprises a region division unit, a data analysis unit, a processor, a memory and a display panel. The monitoring device comprises a ground monitoring station and unmanned aerial vehicle equipment. The system can reduce the human resource cost, can cover the front and back of a photovoltaic panel, the center and the edge of a culture area and other traditional blind areas through the mutual cooperation of ground station fixed monitoring and unmanned aerial vehicle maneuvering inspection, can cover a large-area fishing-light complementary scene, and can greatly reduce the manual inspection cost and the equipment maintenance cost for a long time.

The invention discloses an agricultural crop monitoring system and method based on multi-source remote sensing data, and relates to the technical field of agricultural crop production, and the system comprises a ground remote sensing platform which is used for regularly collecting crop growth data and carrying out the recognition and prediction operation of crop growth vigor, the ground remote sensing platform comprises a crop region division unit, a data analysis unit, a data management server, a memory and a display panel; the monitoring device is used for carrying out omnibearing monitoring on the growth condition of agricultural crops, the ground remote sensing platform and the monitoring device communicate with each other through a network, and the monitoring device comprises a ground monitoring station and unmanned aerial vehicle equipment. Compared with a traditional manual monitoring mode and a single remote sensing monitoring mode, human resource cost can be reduced to a certain extent, crop growth conditions can be more comprehensively known through the unmanned aerial vehicle, the ground monitoring station and the like, the monitoring range is increased, the monitoring precision is improved, and abnormal changes in the crop growth process are found in time.

This disclosure relates to approaches for managing generative artificial intelligence content. Some aspects relate to managing and enforcing licensing conditions for various actors in generative artificial intelligence, such as content creators, model owners, and platform providers. Some aspects relate to lineage tracing, in which an asset is analyzed to determine what other assets it was based on and / or to determine which other assets were generated based on a given asset. Lineage tracing can be based on one or more of metadata analysis, hash analysis (such as perception hash analysis), or vector similarity. In some implementations, a vector embedding model is used to generate vector embeddings of assets, and the vector embeddings are compared to identify similar assets.

The invention discloses a data leakage risk assessment system, and particularly relates to the field of Internet of Things privacy leakage, and the system comprises a preprocessing module, an acquisition module, and an integration module. The preprocessing module executes traceability analysis and integrity verification on the endpoint log by constructing a preprocessing list of hierarchical JSON and verification Hash of the endpoint log, and the preprocessing module is used for identifying integrity abnormity of privacy leakage data of the Internet of Things; and the acquisition module executes encryption identifier extraction and protocol type mapping of an endpoint log through segmented sampling and parallel protocol analysis of network traffic metadata, and the acquisition module is used for acquiring an abnormal traffic mode of privacy leakage of the Internet of Things. Through endpoint log tracing, flow metadata analysis and protocol behavior mapping, the privacy leakage risk of the Internet of Things is detected from endpoint interaction and a flow mode without depending on the content of a data packet, and the leakage detection capability under encrypted flow is relatively improved.

An analysis system connects to a set of data sources and perform natural language questions based on the data sources. The analysis system connects with the data sources and retrieves metadata describing data assets stored in each data source. The analysis system generates an execution plan for the natural language question. The analysis system finds data assets that match the received question based on the metadata. The analysis system ranks the data assets and presents the ranked data assets to users for allowing users to modify the execution plan. The analysis system may use execution plans of previously stored questions for executing new questions. The analysis system supports selective preprocessing of data to increase the data quality.

The invention relates to the technical field of energy storage and utilization, in particular to an intelligent planning configuration management system for a household energy storage system, which comprises a data acquisition and transmission unit, a data analysis and processing unit and a decision execution unit, the data acquisition and transmission unit acquires and transmits related data of a battery and cooling liquid through a sensor and a thermal imager, and the data analysis and processing unit preprocesses, fuses and screens the data by using a denoising algorithm based on quantum noise cancellation and a multi-physical field data fusion algorithm based on holographic entanglement. A thermal health factor is calculated to evaluate the thermal health state of the battery, meanwhile, model predictive control and a multi-stage early warning algorithm are used for optimizing parameters of a thermal management system and early warning thermal faults of the battery, and a decision execution unit controls a coolant pump and regulates the thermal state of the battery according to the optimized parameters, so that the problem of inaccurate data processing of an existing household energy storage system is effectively solved. The safety and stability of the system are improved, and the service life of the battery is prolonged.

The invention relates to the technical field of data analysis, and discloses a dialogue-based intelligent form distribution and data analysis system, which comprises a dialogue receiving unit, a form generation unit, a dialogue state tracking unit, a data distribution unit, a data analysis unit, a feedback optimization unit, an authority management unit and a multi-mode interaction unit. The dialogue receiving unit extracts user intentions and key entities, the form generation unit dynamically generates form templates according to the user intentions and key entities, the data distribution unit directionally distributes data, the data analysis unit mines data values, the feedback optimization unit optimizes the system according to analysis results, the authority management unit guarantees data safety, and the multi-mode interaction unit expands interaction modes. According to the method, intelligent form processing and data analysis are realized, the user experience and the working efficiency are improved, the potential value of the data is mined, and the safety and reliability of the data are ensured.

Examples of file analytics systems are described that may obtain metadata data from a virtualized file server using a snapshot of the file virtualized file. The analytics system may mount a snapshot to retrieve metadata used in determining an overall size, structure, owner, permissions, and / or storage locations of parts of a file system managed by the virtualized file server. The analytics tool may communicate directly with each of file server virtual machines of the virtualized file server during the metadata collection process to retrieve the respective portions of the metadata. During the metadata collection process, the analytics system may add a checkpoint or marker (e.g., index) after every completed metadata transaction to indicate where it left off accessing the metadata snapshots. The checkpoint may allow the analytics system to return to the checkpoint to resume the process should the process be interrupted for some reason.

The invention provides an intelligent member portrait analysis system based on multi-modal data fusion, and relates to the technical field of intelligent analysis. Multi-modal data is collected and integrated through the arrangement of a multi-modal data collection unit, a data analysis and processing unit, a portrait model establishment unit, a recommendation algorithm unit and a user feedback unit; the recommendation unit adopts different recommendation algorithms for different life cycle states of new users, active users and silent users and different behavior data of members in different states through analysis and processing to construct a portrait model, generate static and dynamic portraits and accurately insight member features and states, and the recommendation unit adopts different recommendation algorithms for different life cycle states of the new users, the active users and the silent users. And pushing the corresponding recommended commodity service content, thereby realizing timely and accurate commodity pushing for members in different life cycle states, and improving the use experience of member users.

The invention relates to the technical field of data acquisition, in particular to a data acquisition system based on edge computing, which comprises a sensor module, an edge computing module and a cloud server module, the sensor module is composed of various types of sensors, and the edge computing module comprises a data preprocessing unit, a data analysis unit and a data caching unit. The data analysis unit analyzes the preprocessed data in real time based on a preset analysis model, data feature extraction and pattern recognition are carried out, and the data caching unit is used for temporarily storing the analyzed key data and analysis results. According to the data acquisition system based on edge computing, real-time preprocessing, feature extraction, mode recognition and other operations are performed on the acquired data at the edge computing node, a simple decision task can be quickly judged, and once the equipment temperature exceeds a preset threshold value, the data can be quickly acquired. The edge computing node can immediately perceive and notify the production control system to take cooling measures, so that delay caused by data transmission to the cloud for processing is avoided.

The invention provides a campus second-hand commodity credible transaction evaluation system based on a block chain, relates to the technical field of commodity transaction, and effectively prevents bogus transactions by generating a user credit score Yxf, dividing a credit grade, linking authority and a margin mechanism; an image tampering trace is detected by adopting a convolutional neural network, an image consistency matching score Tsv is calculated in combination with metadata analysis and a multi-modal matching mechanism, the credibility is judged in a grading manner, and the misjudgment risk is reduced; transaction data is solidified through block chain evidence storage, an arbitration evidence packet is constructed, responsibilities are automatically divided based on a preset rule, the alliance chain consensus mechanism is utilized to ensure that data cannot be tampered and can be traced, and the dispute solving efficiency and transparency are improved; the fairness and security in second-hand commodity transaction are effectively improved, and the core problems of weak recognition of bad user behaviors, inaccurate pricing due to image information distortion and fuzzy dispute processing in a traditional system are solved from the system structure.

The invention relates to the technical field of coal mining, in particular to a dry coal preparation control system based on data analysis, which comprises a real-time data acquisition module, a data analysis module, a self-adaptive control module and a feedback optimization module. The real-time data acquisition module acquires information such as granularity, density, images and moisture of coal particles through a granularity sensor, a density sensor, an image sensor and a humidity sensor, and transmits data to the central processing unit. And the data analysis module analyzes the collected data based on a random forest algorithm to generate a sorting precision prediction value. The self-adaptive control module dynamically adjusts key parameters of the coal dressing equipment according to the predicted value by utilizing a PID control algorithm, and the key parameters comprise the wind speed, the screen inclination angle, the material flow speed and the like. The system not only improves the coal dressing precision and stability, but also improves the self-adaptive capacity of the equipment through intelligent control and optimization, and the system is suitable for popularization and application. The method has remarkable economic benefits and wide application prospects.

The invention discloses a distributed crane safety monitoring and early warning device which comprises a crane main body used for hoisting materials, the crane main body comprises hardware equipment and a software system, and the hardware equipment is used for forming the crane main body and comprises a cart operation assembly, a trolley operation assembly, a main beam, a hoisting assembly and a sensor assembly. The software system comprises a data acquisition unit, a data transmission unit, a data analysis and processing unit, an early warning unit, a control unit, a man-machine interaction unit and a data storage and query unit. According to the invention, various types of sensors are reasonably arranged on each key component of the crane, and multi-source data acquisition and adaptive sampling frequency adjustment technologies are combined, so that the spatial motion state, the load state, the self-structure state and the working environment of the crane are comprehensively and accurately monitored, diversified early warning modes and graded early warning mechanisms are provided, and the safety and reliability of the crane are improved. And the pertinence and effectiveness of early warning are improved by combining context awareness and intelligent voice early warning.

The invention provides a metadata management method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring a plurality of first metadata; taking the plurality of first metadata as input of a metadata analysis engine of the large model, and obtaining a plurality of standardized first metadata output by the metadata analysis engine; taking the standardized first metadata as input of a semantic understanding engine of the large model, and obtaining semantic vectors of the first metadata; clustering the semantic vectors of the first metadata, and identifying second metadata from the multiple pieces of first metadata according to a clustering result; taking the second metadata as input of a thinking chain inference engine of the large model, and obtaining a repair strategy of the second metadata output by the thinking chain inference engine; and executing the repair strategy of the second metadata to repair the second metadata. According to the embodiment, the problem of low metadata management efficiency in related technologies is solved, and the metadata management efficiency is improved.

The invention discloses a clinical decision-oriented medical data analysis system, and relates to the technical field of medical data analysis, the clinical decision-oriented medical data analysis system comprises a patient end, a medical diagnosis end and a medical decision-making system, the medical decision-making system comprises a data acquisition unit, a data analysis unit, a decision-making output unit and a decision-making optimization unit; according to the method, the medical data is acquired, the disease course prediction model is established according to the historical diagnosis and treatment data of the patient, the disease course prediction result is obtained in combination with the medical data, and the medical seeing ability evaluation coefficient of the patient is obtained through comprehensive calculation based on the personal economic data of the patient and the social income data of the patient. The method comprises the following steps: judging the doctor-seeing ability of a patient according to a preset doctor-seeing ability evaluation interval, outputting a target decision scheme which can be loaded by the patient according to the doctor-seeing ability level of the patient, and when the scheme adaptation degree reaches a preset scheme evaluation threshold value, marking the target decision scheme as an optimizable scheme. And controlling and outputting a target optimization scheme by simplifying the examination process and the drug dosage in the treatment process.

The invention discloses a microfluidic-EICP combined dynamic visual monitoring system and method for a heavy metal polluted soil remediation process, and relates to the technical field of soil monitoring. The microfluidic-EICP combined heavy metal polluted soil remediation process dynamic visual monitoring system comprises a microfluidic reaction module, a multi-mode sensing module, a dynamic imaging module and a data analysis module, and the microfluidic reaction module comprises a heavy metal pollution simulation unit and an in-situ reaction control unit. The multi-mode sensing module comprises a substrate layer, a chemical sensing layer and a data interface layer, the dynamic imaging module comprises an optical imaging unit and a spectral analysis unit, and the data analysis module is electrically connected with the communication module. According to the technical scheme provided by the invention, multi-physical field cooperative monitoring of a chemical field, a mechanical field and a permeation field in the prior art is realized, and the cross-scale correlation analysis capability of a micro crystal growth mechanism and a macroscopic soil body modification effect is improved.

The technology disclosed relates to an introspector that scans an organization's accounts on cloud storage services and detects resources on the cloud storage services configured to store the organization's data, and identifies the detected resources in a resource list. The technology disclosed further includes an inline proxy that controls manipulation of the detected resources based on the resource list.

The invention relates to the technical field of internet advertisement services, in particular to a media advertisement putting interaction method and system, and the system comprises an advertisement customization module which is used for outputting a personalized media advertisement according to user data and comprises a data collection unit which is used for collecting the user data; the putting module is connected with the advertisement customization module and comprises an advertisement matching unit used for matching the media advertisement with an advertisement position of a media platform; the data analysis module is connected with the delivery module and comprises a feedback collection unit which is used for collecting feedback suggestions and evaluations of the users on the advertisements so as to output feedback data; the control module is connected with the advertisement customization module, the delivery module and the data analysis module and used for determining the fragment size of the feedback data according to the packet loss probability of the user data, and the media advertisement delivery interaction accuracy is improved.

The invention belongs to the technical field of building reclaimed water treatment systems, and particularly relates to a building reclaimed water treatment system based on edge self-control. The building reclaimed water treatment system comprises a sensing layer, an edge self-control layer and a cloud platform layer, the cloud platform layer is connected with the edge self-control layer through asynchronous communication, and the edge self-control layer controls the sensing layer in real time; the sensing layer comprises a water quality sensor unit, an equipment detection unit, a flow detection unit and an environment sensing unit; the edge self-control layer comprises an edge computing gateway, an edge intelligent engine, a local control unit and an edge collaborative network; the cloud platform layer comprises a model training unit, a data analysis unit, a comprehensive management unit and a strategy optimization unit. The invention provides the building reclaimed water treatment system with high reliability, high intelligence and high real-time performance, an advanced water treatment process and an edge intelligent control technology are deeply fused, the dependence on centralized control and network connection is reduced, refined and intelligent management of reclaimed water treatment is realized, the water resource utilization efficiency and the system operation benefit are maximized, and the water resource utilization efficiency and the system operation benefit are improved. Meanwhile, energy consumption and maintenance cost are reduced, and system safety and user experience are improved.

A method for managing a reader group (RG) includes: obtaining a first metadata, a second metadata, and a policy, in which a first reader (FR) and a second reader (SR) are a part of the RG; analyzing the obtained metadata to infer a user's goal and information; distributing, based on the goal and information, a first segment to the FR and a second segment to the SR; making a first determination that a number of readers in the RG is changed; making a second determination that a third reader (TR) is added to the RG; obtaining a third metadata of the FR, a fourth metadata of the SR, and a fifth metadata of the TR; analyzing the obtained metadata to infer second information; and re-distributing, based on the goal and the second information, the first segment to the SR and second segment to the TR.

The invention discloses a heterogeneous database synchronization method and system based on a trigger and a message queue, and the method comprises the steps: creating a trigger function in a source database, binding the trigger function with a target service table to capture the change operation of the target service table in real time, and when the structure change of the target service table is monitored, executing the step of synchronizing the target service table; automatically triggering the ORM model to remap; the method comprises the following steps: integrating an SQLAlchemy automatic mapping function, dynamically generating an ORM model category identifier through metadata analysis, and querying related data and extracting related fields by utilizing an ORM model to generate a JSON message containing an idempotent key; the JSON message containing the idempotent key is sent to a message queue, and a consumer obtains the JSON message containing the idempotent key from the message queue and screens out target data from the JSON message containing the idempotent key; and performing conflict detection on the target data, generating final data based on a preset configuration strategy, and applying the final data to the target database. According to the method, the conflict condition in the data synchronization process can be effectively processed, and the accuracy and consistency of the data are ensured.

An object of a system according to an embodiment is to improve the efficiency of agricultural management by analyzing agricultural data and measuring the state and moisture content of soil in real time.SOLUTION: A system includes a data analysis unit, a sensor measurement unit, a prediction unit, and a consulting unit. The data analysis part analyzes the agricultural data. The sensor measurement unit measures the state and moisture content of the soil in real time. The prediction unit predicts future crop production based on past data. The consulting unit provides an optimal solution according to the situation of the farm.SELECTED DRAWING: Figure 1

The invention discloses a hydroelectric generating set stability data acquisition system and a processing method. The hydroelectric generating set stability data acquisition system comprises a monitoring unit, a data acquisition module, a transmission unit, a data analysis module, an information feedback module, a communication unit and a remote monitoring module, according to the invention, comprehensive, accurate and real-time monitoring of the operation state of the water-turbine generator set can be realized, the reliability of data transmission is improved, the stability of the water-turbine generator set is accurately judged by using an advanced data analysis method, and the cooperative linkage between information feedback and remote monitoring is enhanced, so that the stable operation of the water-turbine generator set is effectively guaranteed.

The invention relates to the technical field of water conservancy irrigation, and discloses an intelligent precise irrigation system and method based on the Internet of Things and fuzzy control, and the system comprises a sensing and execution module which is used for collecting environment data and executing irrigation operation, and a platform application module which is used for receiving the environment data and executing the irrigation operation and comprises an environment data collection unit and an irrigation execution unit. The sensing and execution module is used for storing and analyzing data in the environment data acquisition unit and then generating an irrigation instruction, the platform application module comprises a data storage unit, a data analysis unit and a twin experiment unit, and the network transmission module is used for being in communication connection with the sensing and execution module and the platform application module. The system solves the problems that a traditional irrigation mode is serious in water resource waste, low in automation degree and poor in adaptability, and high efficiency, intelligence and automation of agricultural irrigation are achieved.

The invention provides a student learning condition and writing habit evaluation method based on multivariate data analysis, and belongs to the technical field of education, and the method comprises the steps: 1, collecting motion data and pressure sensing data of writing equipment, and semantic vector data of text content; 2, track invariant features of handwriting are extracted based on the motion data, dynamic pen pressure distribution features are determined based on the pressure sensing data and the track invariant features, and feature alignment is conducted on the pressure sensing data and semantic vector data; step 3, extracting continuous homology features from the track invariant features, constructing a persistent interval graph, and further generating a state transition matrix of writing behaviors in combination with a feature alignment result; and 4, determining a persistent feature vector based on the trace invariant feature of the handwriting, and determining a writing habit evaluation result based on the state transition matrix and the persistent feature vector. A more accurate learning evaluation tool is provided for an educator, and personalized learning of students is promoted.

The invention relates to the technical field of medical health information, in particular to a pregnant and lying-in woman health record digital management system which comprises a user management and data safety unit, a record management unit, a monitoring and evaluation unit, a data analysis unit, a reservation registration unit and a health education unit. According to the invention, data access dynamic management and control and privacy protection are realized through a pregnancy stage adaptive permission system and a lightweight block chain technology in combination with zero-knowledge proof, and physiological parameter real-time acquisition and analysis and sub-second early warning are realized through medical IoT equipment and edge computing nodes. And a multi-party collaborative risk prediction model is constructed by virtue of federal learning and an interpretable AI technology, and a clinical decision basis is provided, so that full-cycle safety management and control, real-time monitoring analysis and accurate risk prediction of pregnant and lying-in woman health data are realized, and technical support is provided for improving pregnant health management efficiency and quality.