10results about How to "Simple query" patented technology

The invention discloses an SQL metadata processing method based on a large model, an SQL statement generation method, electronic equipment and a data medium table, and belongs to the technical field of semantic recognition, analysis, retrieval and fusion. In the steps of the method, whether triggering operation needing metadata maintenance exists or not is detected, corresponding metadata processing is carried out according to the triggering operation, and the metadata maintenance efficiency is improved. And uploading a metadata processing result to a corresponding metadata knowledge base, calling a large language model to generate metadata knowledge points corresponding to the slices, converting the metadata knowledge points into corresponding vectors through an embedded model, and storing the vectors in a vector database. According to the method, the existing metadata in the data platform is fully utilized, the metadata maintenance efficiency is improved, the accuracy and consistency of the metadata are enhanced, and the availability of the metadata is improved, so that a developer can perform analysis and development by depending on the updated latest metadata when performing data operation.

The invention discloses a character string data read optimization method based on a B + tree and a learning index. A learning index generated based on a machine learning (ML) model focuses on integer data of a fixed size, but is lack of consideration for character strings of variable lengths and is poor in performance in character string data. In order to solve the problem, the invention provides a character string slicing method which can convert a character string with a variable length into an integer with a fixed size for prediction and extract a common prefix from a character string key to reduce a model fitting error. According to the method, the characteristics of character string data are fully considered, complex multi-dimensional linear regression is simplified into one-dimensional linear regression, and the model calculation overhead is reduced. Besides, the invention provides a self-adaptive strategy to select a proper index to manage the calculation cost, the method for dynamically selecting the index nodes can utilize the advantages of the two index types to the maximum extent, and the calculation overhead is effectively reduced while the index efficiency is ensured.

The invention relates to the technical field of claim settlement operation data processing, in particular to a claim settlement operation platform digital decision-making system based on a large model Agent. The data processing module comprises an associated data determining unit used for determining associated data in the business data; the data setting unit is used for determining setting of the business data; the exception analysis unit is used for carrying out exception analysis on the business data; the data cleaning unit is used for extracting abnormal data and normal data in the business data and cleaning the abnormal data and the normal data; the data adjusting unit is used for adjusting the service data setting; and the adjusting module is used for adjusting the model or the data processing process. The problem of low claim decision making efficiency caused by low claim decision making accuracy in the prior art is solved.

The invention provides a structured data comparison method. The method comprises the following steps: determining change information of each evolution data relative to each entity in original data; for each entity, comparing the change information of the entity between any two pieces of evolution data to obtain difference information of the entity; flattening the difference information of each entity to obtain a comparison result in a list form; according to the entity-based structured data comparison scheme provided by the embodiment of the invention, the difference information between the structured evolution data is generated through the change information between the structured evolution data and the original data, and finally the flattened entity difference information is generated, and the flattened entity difference information is easy to query, analyze and process. The invention further provides a data processing device and a readable medium.

The invention relates to the technical field of data processing, and provides a method, device and system for dynamically generating a query interface based on an Elasticsearch engine, and the method comprises the steps: obtaining configuration information used for generating a target query interface of the Elasticsearch engine, and constructing target request mapping information of the target query interface; the target query interface is registered based on a preset program processing module and target request mapping information of the target query interface, and when an interface request instruction of the target query interface is received, the interface request instruction is analyzed and processed; the interface request instruction is sent to a server, so that the interface request instruction is converted into a target query interface of an Elasticsearch search engine. According to the method, the query efficiency is improved by utilizing an Elasticsearch search engine technology, the ES script field is analyzed based on the configuration information and the program processing module, the function of dynamically generating the target query interface is provided, and the functions of efficient query and simplified interface construction are provided.

This invention provides a ring network structure marine valve remote control and liquid level telemetry system, including a valve remote control data acquisition component and a liquid level telemetry data acquisition component. The valve remote control data acquisition component includes a valve remote control data acquisition box and n electric valve actuators, which are sequentially connected by cables to form a ring network structure. The liquid level telemetry data acquisition component includes a liquid level telemetry data acquisition box and n liquid level telemetry local processing units, which are sequentially connected by cables to form a ring network structure. This invention has the following advantages: The sequential connection of the n electric valve actuators and n liquid level telemetry local processing units to form a ring network structure, along with the redundant design of the ring network structure, not only significantly reduces the amount of cable used but also reduces the workload of cable laying, and ensures that any single point of failure will not cause a failure in all equipment.

The invention belongs to the technical field of tunnel lining quality, and particularly discloses a tunnel lining quality monitoring data query method and system. According to the query method and system provided by the invention, the problem that front-line workers are difficult to simply, conveniently and quickly obtain tunnel lining quality monitoring data by relying on the prior art in tunnel lining quality management work is solved; moreover, suggestions can be generated in combination with prediction data and professional knowledge related to tunnel lining quality monitoring, effective fusion of the prediction data and the professional knowledge related to tunnel lining quality monitoring is realized, and a basis is provided for making scientific decisions for tunnel lining quality management. In addition, professional knowledge in the field of tunnel lining quality monitoring can be utilized to guide deep correlation analysis of the data, so that complex and subtle interaction and correlation between the tunnel lining quality monitoring multi-source data and the corresponding professional technical knowledge are effectively excavated, and further, the data can be effectively analyzed. The potential safety hazard of the tunnel lining is identified; and the hidden problem of the tunnel lining is observed.

The invention relates to the technical field of enterprise informatization management, in particular to a general object life cycle authority control method. A universal object life cycle authority control method comprises the steps that a data management system is built, the data management system comprises three authority levels including a site, organizations and libraries, a plurality of attached organizations are arranged under the site, a plurality of attached libraries are arranged under each organization, and a plurality of folders for storing product data are arranged in each library; a site administrator, an organization administrator and a library administrator are set corresponding to the site, the organization and the library respectively; planning an object life cycle process and setting an execution role according to the object life cycle process; and dividing the object life cycle process into object life cycle stages and setting stage authority for each execution role according to the object life cycle stages. Unification of efficient use and safety protection of the data is achieved, the strategy of the authority is easy to configure, adjust, query and use, the working efficiency is effectively improved for enterprises, and the cost is effectively saved.

The invention discloses a static sounding data acquisition quality management and control method and system fused with abnormal early warning, and relates to the field of data analysis and processing, and the method comprises the steps: an edge end collects original static sounding data through associated static sounding equipment, and carries out edge abnormal early warning through an embedded local geologic control model; based on the edge anomaly early warning result, performing transmission pre-processing on the original static sounding data in combination with a preset packaging strategy, obtaining transmission state static sounding data, and transmitting the transmission state static sounding data to the cloud; the cloud carries out depth anomaly identification on the transmission state static sounding data, and the depth anomaly identification comprises knowledge verification and mode verification; and performing structured storage on the transmission state static sounding data in combination with the depth anomaly recognition result and a preset continuity rule set. The problems that in the prior art, reliability of data transmission and storage is low, the data anomaly detection effect lags behind, and safety verification of data storage is lacked are solved.

This disclosure provides a data storage method and apparatus. The method includes: acquiring target data to be stored; reading a bitmap structure from a database based on a target identifier in the target data; and determining the mode of the bitmap structure. When the bitmap structure is determined to be in a variable-length mode, writing a target time from the target data into a newly added time unit in the data portion of the bitmap structure, wherein the data portion of the variable-length bitmap structure contains at least one time unit. When the bitmap structure is determined to be in a fixed-length mode, setting corresponding data bits in the data portion of the bitmap structure based on the target time in the target data, wherein the storage location of each data bit in the data portion of the fixed-length bitmap structure corresponds to a time point. This method can reduce the space occupied by data storage, thereby reducing storage costs, and improve the efficiency of data retrieval, thereby reducing query latency.