210 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 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 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 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 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 discloses an intelligent monitoring system for an urban underground pipe network, and relates to the technical field of urban underground pipe network monitoring, and the monitoring system comprises a sensing module which collects pipe network operation data in real time based on a pressure sensor, a flow sensor, a temperature sensor, a gas sensor and a vibration sensor; the transmission module is used for uploading the data acquired by the sensing module to the platform module based on the NB-IoT wide area network technology; and the platform module comprises a data storage unit, a data analysis unit and an alarm unit, and is used for data processing, anomaly detection, fault early warning, anomaly identification of the collected operation data based on a machine learning algorithm, positioning of a pipe network leakage point, and triggering of alarm. According to the invention, comprehensive, real-time and intelligent monitoring of the urban underground pipe network is realized, the fault discovery and response speed is improved, the deployment and maintenance cost of the monitoring system is reduced, the system is suitable for large-scale popularization, the accuracy of monitoring data and the fault positioning capability are improved, and false alarm and missing alarm are reduced.

The invention relates to the technical field of data processing, and particularly provides a document approval and original management cooperative control system, which comprises a dynamic metadata analysis engine used for analyzing business metadata in real time and mapping the business metadata to a process node condition branch; the original state synchronization engine is used for synchronizing an order delivery event, a signing event or a resending event through a message queue and updating a system document state and an original state; the node verification micro-service module calls an original state verification rule at the approval node and intercepts node operation which does not meet the original state; and the embedded original operation engine is used for embedding lightweight micro-services in the approval nodes to realize linkage execution of approval operation and original signing, signing-out or reissuing. According to the invention, the document processing efficiency is improved, and the business traceability and the data consistency are ensured.

A computer monitoring system and method for determining one or more periodicity clusterings of alarm events in a computer database managed by an automated and industrial control system (AIC), wherein each alarm event has a time spaced repeat duration period relative to a succeeding alarm event. Captured from an AIC computer database is alarm data containing a plurality of alarm events, which are then clustered into one or more repeat period clusters based upon a repeat duration period for each alarm event, using one or more algorithmic techniques. Each determined repeat period cluster is analyzed to determine certain metadata associated with each repeat period cluster, which metadata for each repeat period cluster is analyzed to identify repeat period clusters as a valid alarm periodicity cluster. A tangible output is then provided indicating identified valid alarm periodicity clusters.

An object of a system according to an embodiment is to provide an optimal training plan according to a fitness level, a constraint, and a goal of a user.SOLUTION: A system according to an embodiment includes a user information collection unit, a training plan generation unit, a data analysis unit, and a correction proposal unit. The user information collector collects the user's fitness level, constraints and goals. The training plan generation unit generates a training plan based on the information collected by the user information collection unit. The data analysis unit analyzes user data and sensor data during training in real time. The correction proposal unit corrects the training plan based on the data analyzed by the data analysis unit.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to predict a future trend and generate an idea based on the future trend.SOLUTION: A system includes a trend analysis part, an action analysis part, a data analysis part, a trend prediction part, and an idea generation part. The trend analysis unit analyzes a social trend. The behavior analysis unit analyzes a behavior pattern of the consumer. The data analysis unit analyzes data on the Internet. The trend prediction unit predicts a future trend. The idea generation unit generates an idea based on the future trend predicted by the trend prediction unit.SELECTED DRAWING: Figure 1

An object of the system according to the embodiment is to efficiently monitor the quality and safety of food and quickly detect an abnormality.SOLUTION: A system according to an embodiment includes an image collection unit, a data analysis unit, an abnormality detection unit, and a notification unit. The image collection unit collects images and data of food. The data analyzer analyzes the image and data of the food collected by the image collector. The abnormality detection unit detects an abnormality based on a result of the analysis by the data analysis unit. The notification unit notifies the abnormality detected by the abnormality detection unit.SELECTED DRAWING: Figure 1

The invention relates to the technical field of network security, in particular to a network security protection system and method. The system comprises an original flow data acquisition module, a metadata generation module, a data storage management module, a data feature extraction module, a feature vector anomaly detection module, a threat alarm analysis module and a threat alarm response execution module which are connected in sequence. According to the method, through full-flow capture and deep metadata analysis, a complete and uniform network behavior view is constructed, and the threat discovery and perception capability is remarkably improved. Unsupervised anomaly detection is carried out by using a deep learning model such as an auto-encoder, a normal network behavior mode can be adaptively learned, unknown threats and variant attacks are effectively identified, and the false alarm rate is reduced. The risk assessment is performed by fusing the multi-source data, and the response instruction is automatically generated and executed based on the assessment result, so that the closed-loop automatic disposal of the security event is realized, the response time is greatly shortened, and the dependence on manual intervention is reduced.

To provide a reverberation control device and a program capable of reducing difficulty in hearing the sound of a desired object due to the influence of reverberation sound.SOLUTION: A reverberation control device includes a metadata analysis unit that analyzes metadata and specifies an identifier of an object to be controlled, a reverberation parameter calculation unit that calculates a gain of late reverberation of the object on the basis of the identifier of the object and a longest distance of an area in which a clarity of the object is secured, and a rendering unit that calculates an amplitude gain coefficient for adjusting an amplitude of the late reverberation in accordance with a distance between a user and the object and the gain of the late reverberation and multiplies the late reverberation of the object by the amplitude gain coefficient to add reverberation.SELECTED DRAWING: Figure 1

The invention discloses a train abnormity diagnosis method and device and a train operation report generation system. The method comprises the steps that first operation parameter data of all parts of all carriages of a train are obtained; performing transverse comparative analysis on the first operation parameter data to determine a first anomaly analysis result; performing historical trend analysis on the first operation parameter data to determine a second anomaly analysis result; second operation parameter data, pantograph video data, carriage video data and third-party equipment data of an ATO system, a TCMS system, a traction auxiliary system, a braking system, a safety monitoring system, a door system and an air conditioning system and external environment data of the train are obtained; and performing multivariate data analysis on the second operation parameter data, the pantograph video data, the carriage video data and the third-party equipment data in combination with the external environment data, and determining a third anomaly analysis result.

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 system and a method for collecting mirror information in real time based on warehouse event driving. The system comprises an event monitoring module, a metadata analysis module and a data persistence module, the event monitoring module is used for receiving an event triggering notification and product data sent by a product warehouse; the metadata analysis module is used for analyzing the acquired product data and forming a first data table and a second data table after receiving the event triggering notification forwarded by the event monitoring module, the first data table is used for writing basic information of products, and the second data table is used for writing product architecture and product Tag information; and the data persistence module is used for writing the first data table and the second data table into a persistent disk or database so as to read and return mirror information from the disk or database when the mirror information is queried through a service system. According to the method, the real-time data workflow can be established between the business system and the product warehouse, and the mirror image multi-architecture metadata can be automatically acquired and maintained.

An object of the system according to the embodiment is to efficiently grasp a health condition and a mental and physical condition in a daily life of an elderly person and share the health condition and the mental and physical condition with a family member and a person in charge of a facility.SOLUTION: A system includes a pet robot, a data collection part, a data analysis part, and a sharing part. The data collection unit collects data through conversations and actions with the elderly person. The data analysis unit analyzes the data collected by the data collection unit. The sharing unit shares a result analyzed by the data analysis unit with a family member or a person in charge of the facility.SELECTED DRAWING: Figure 1

The present application relates to the technical field of electric power data supervision, and particularly relates to a power sensitive database lightweight supervision method and system based on metadata analysis, comprising the following steps: S1: constructing an electric power scene exclusive metadata analysis dimension system and a benchmark rule, the analysis dimension system comprising four dimensions of business core degree, security risk degree, data sensitive attribute and dynamic attribute, each dimension being provided with an electric power exclusive index, determining the benchmark weight of each dimension and index, and initializing sensitive data identification, metadata weight level mapping and supervision weight level matching rule; in the present scheme, the four-dimensional analysis system exclusive to electric power is constructed, the metadata accurate weight level division is realized by combining a weighted grading algorithm, a five-level differentiated supervision configuration and resource elastic allocation mechanism are established, a real-time matching engine and flexible adjustment rule are matched, and through a closed-loop optimization and dynamic adaptation mechanism, the accuracy of electric power sensitive data supervision, the lightweight of operation, the timeliness of response and the long-term adaptability are realized.

The invention relates to the technical field of model bodies, in particular to a 3D-printable digital simulation motion model jaw frame which comprises a model body. A detection unit; the data analysis unit is used for converting the geometric parameters of the jaw bone of the human body and the mandibular movement track data into entity printing data; the printing and forming unit is used for printing and forming the model body and the sacrificial shell on the surface of the model body according to the entity printing data; the control unit is used for adjusting the thickness of a sacrificial shell, printed by the 3D printer, of the upper jaw assembly according to the motion deviation value of the model motion data, or adjusting the initial steam temperature of steam polishing according to the size deviation value of the upper jaw assembly; and the ventilation height for ventilation of the lower jaw assembly in the forming cavity is adjusted according to the fit clearance deviation of the upper jaw assembly and the lower jaw assembly. According to the invention, the adaptability and precision of the model body are improved.

An object of the system according to the embodiment is to receive knowledge and ideas of a specific person in a timely manner.SOLUTION: A system according to an embodiment includes a personality forming part, a data analyzing part, and an advice providing part. The personality forming part forms a personality of the MASA. The data analyzing unit analyzes the past speech or work of the MASA based on the personality of the MASA formed by the personality forming unit. The advice providing unit provides advice with respect to a task on business based on the data analyzed by the data analysis unit.SELECTED DRAWING: Figure 1

The application provides a metadata analysis processing method and device, and relates to the technical field of big data analysis processing.The method comprises the following steps: collecting metadata in a data source; acquiring a business process, declaring the granularity of a metadata model according to the business process, and constructing a dimension table and a fact table according to the granularity; taking the business process as a modeling driver, and establishing a metadata model according to the metadata, the dimension table and the fact table; when a data analysis request is acquired, performing data analysis by using the metadata model to obtain an analysis result.The metadata model is established by collecting metadata, the metadata of enterprises scattered in multiple application systems is centrally managed, a complete and comprehensive data structure relationship is presented for the enterprises, the enterprises are assisted in centrally and efficiently managing data assets, the metadata analysis processing of different business requirements can be met, data value can be mined from the analysis result to guide business or product innovation, and the production of enterprises is empowered.

An object of the system according to the embodiment is to allow a viewer to ask a question in real time during network broadcasting and obtain an answer on the spot.SOLUTION: A system according to an embodiment includes a dialogue reception unit, a data analysis unit, and an answer generation unit. The dialogue reception unit receives a question from a viewer. The data analysis unit analyzes data on the basis of the question received by the dialogue reception unit. The answer generation unit generates an answer based on the data analyzed by the data analysis unit.SELECTED DRAWING: Figure 1

The invention relates to the technical field of electric power system operation and maintenance management, solves the problems of extensive detection, response delay, blind scheduling and deep data in traditional electric leakage operation and maintenance, and provides an electric power system electric leakage detection-based operation and maintenance management system comprising a front-end application module comprising a web platform management end and an APP end; the data acquisition module is used for acquiring leakage current and leakage point geographic positioning information of the power system through a leakage current sensor, a voltage sensor and a positioning module; the data transmission module is used for encrypting and transmitting the data of the acquisition module to a web platform management end; the web platform management end comprises a real-time monitoring unit, an electric leakage detection and analysis unit, a fault early warning and alarm unit, a data analysis and decision-making unit, an operation and maintenance management unit and a historical fault database. The method has the advantages that the operation and maintenance efficiency is improved (the fault response time is shortened), and the operation and maintenance cost is reduced.

An object of a system according to an embodiment is to objectively evaluate the performance and quality of a base station and provide appropriate feedback.SOLUTION: A system includes an input unit, a data analysis unit, an evaluation unit, and a feedback providing unit. The input unit inputs the type and specifications of the base station. The data analysis unit evaluates the performance and quality of the base station based on the type and specifications of the base station input by the input unit. The evaluation unit generates an objective index based on the performance and quality of the base station evaluated by the data analysis unit. The feedback providing unit provides feedback based on the index generated by the evaluation unit.SELECTED DRAWING: Figure 1

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.