8results about How to "Automated Extraction" patented technology

The invention particularly relates to a data analysis method and system. The method comprises the steps of extracting original data corresponding to a target service from a target data source according to a pre-configured data extraction strategy of the target service, loading the original data to an operation data storage layer of a data warehouse, and storing the original data; operating a data storage layer to output the original data to a detail data layer; the detailed data layer performs data preprocessing on the original data to obtain basic data and outputs the basic data to the summarized data layer; the summarizing data layer performs aggregation processing on the basic data according to a current data processing task corresponding to the target business, obtains structured data corresponding to the target business, and outputs the structured data to the application data service layer; and the application data service layer performs data analysis on the structured data according to the service configuration information corresponding to the current data processing task, and outputs a corresponding data analysis result. According to the scheme, efficient and accurate data management and analysis can be realized.

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses a negative public opinion information extraction method, which comprises the following steps of: forming a preliminary data set by acquiring public opinion information data related to a target subject; defining an information extraction structure, labeling the public opinion data set, and generating a training data set; performing multi-round iterative training on the basic pre-training model based on the training data set to generate a negative public opinion information extraction model; and constructing a processing framework based on the model, inputting the to-be-processed public opinion data into the processing framework, automatically identifying negative public opinion information, and generating structured entity, relationship and event data. According to the method, by obtaining the public opinion information data related to the target subject, defining and labeling the information extraction structure and combining the pre-training model of multi-round iterative training, key entities, relationships and events in the public opinion data can be accurately recognized, and automatic extraction of negative public opinion information is achieved. The accuracy and comprehensiveness of negative public opinion information extraction can be effectively improved.

According to the full-automatic PCR analyzer based on the microfluidic card box, a fixing frame is fixedly connected into an installation shell, an installation plate is fixed to the fixing frame, and an inserting-connecting sinking groove is formed in the side, opposite to a door body, of the installation plate; the lower end of the reagent reaction box can be inserted into the mounting shell through the inserting sinking groove, the reagent reaction box comprises a bottom plate, the upper side of the bottom plate is fixedly connected with a reagent box body, and the reagent box body is provided with a channel communicating control hole; a plurality of reagent liquid storage tanks and amplification liquid tanks are arranged on the upper side of the kit body outside one end of the channel communicated control hole in the left-right direction; the nucleic acid extraction assembly is arranged in the mounting shell, the nucleic acid extraction assembly comprises a stirring magnetic rod which can ascend and descend and can move in the front-back direction and the left-right direction, the stirring magnetic rod can stretch into any reagent liquid storage pool, and a magnetic separation module which can ascend and descend is connected to the portion, below the mounting plate, of the fixing frame; the nucleic acid extraction device can realize automatic extraction of nucleic acid and is convenient to amplify.

The application discloses a small sample knowledge base construction method and device for a vertical field, and the method comprises the following steps: acquiring data of the vertical field from multiple channels, and performing cleaning, light annotation and structural processing on the acquired data to obtain field sample data; fine-tuning a pre-trained large model based on the field sample data, extracting field knowledge including entities, relationships and attributes based on the fine-tuned model, and verifying and integrating the extracted field knowledge to form a standardized knowledge base; acquiring new knowledge data, incrementally training the model using a weighted incremental loss function, outputting an optimized field model, extracting new knowledge from the new data using the optimized field model, verifying the new knowledge and fusing the new knowledge into the existing knowledge base; periodically evaluating the quality of the knowledge base and the performance of the model according to a field knowledge update cycle, generating a comprehensive evaluation score, and optimizing the knowledge extraction rules, the incremental training strategy and the knowledge base Schema according to the evaluation result.

The application discloses a kind of plant factory environment under soybean high-flux plant height phenotype acquisition method and system, belong to depth image acquisition and identification technical field, method includes: obtaining the depth image and RGB image containing soybean plant and potted platform;Image registration is carried out, and based on registration parameter, depth image is synchronously spliced, and depth splicing chart is obtained;Depth splicing chart is converted into pseudo-color depth chart and actual gray chart in sequence, and depth gray chart is obtained;The reference gray value of ground area is extracted from depth gray chart, and the correction coefficient is calculated based on the actual physical height of potted platform distance ground and the gray value of calibration reference point;Based on the top gray value of plant and the minimum gray value of image, the actual plant height of soybean plant is obtained by gray difference proportion mapping.The application realizes the nondestructive, high-flux, high-precision automatic measurement of soybean seedling stage plant height under plant factory environment, and provides reliable technical support for soybean generation breeding and phenotype identification.

The invention relates to the field of sewage treatment, in particular to a sedimentation tank sludge treatment device and a treatment method. The sedimentation tank sludge treatment device comprises a first track, a first sliding block is arranged on the first track in a sliding mode, a guide sleeve is arranged on the first sliding block in an embedded mode, a hard water pipe is vertically arranged in the guide sleeve in a sliding mode, the top of the hard water pipe is connected with a sludge treatment vehicle suction pipeline, and the top of the hard water pipe is connected with a sludge treatment vehicle suction pipeline. A mounting disc is arranged on the lower portion of the hard water pipe, and a cover is arranged on the top of the mounting disc. Through the design of the rotating motor, gear transmission and the rotating disc, flexible rotation and positioning of the hard spraying pipe are achieved, a flocculating agent can be evenly and accurately sprayed to different areas of the sedimentation tank, the mixing blades driven by the servo motor effectively prevent sedimentation of liquid in the medicine box, and the uniformity and stability of the flocculating agent are ensured.

The invention discloses a business personnel seat number identification method and device, electronic equipment and a program product, relates to the field of artificial intelligence, and is applied to the field of financial science and technology, and the method comprises the steps: carrying out the preprocessing of collection information of a transaction liquidation request when the transaction liquidation request is detected, and obtaining a preprocessed text; extracting a text semantic feature, a character space feature and a business logic feature from the preprocessed text, and performing feature fusion to obtain a fused feature vector; and inputting the fusion feature vector into a target recognition model, and outputting a business personnel seat number recognized from the collection information, the target recognition model being obtained by training a preset recognition model by using historical collection information, and the preset recognition model at least comprising: a bidirectional long short-term memory network, a converter encoder, and a conditional random field model. Through the method and the device, the problem that the seat number of the business personnel in the collection information is difficult to identify based on a traditional keyword matching method in related technologies is solved.

This application provides a method and apparatus for generating a knowledge graph for cross-layer data processing activities. The method includes: defining entities and relationships corresponding to the business logic layer, data operation layer, and technical implementation layer, as well as cross-layer relationships between entities in adjacent layers; generating an entity-relationship model based on entities, relationships, and cross-layer relationships; extracting entity data from the data processing activity documents corresponding to the business logic layer, data operation layer, and technical implementation layer to obtain entity-relationship data; and generating a knowledge graph based on the entity-relationship model and entity-relationship data. This application achieves full-link association analysis through three-layer cross-layer entity modeling, forming a structured, traceable, high-quality knowledge graph. This provides accurate reference and data support for risk analysis of data processing behavior, helping to quickly identify abnormal operations and potential risks.