296 results about "Data filling" patented technology

The invention discloses a flood disaster risk intelligent early warning method fusing multi-source information, and relates to the technical field of flood disaster prediction.The method comprises the steps that multi-source data of meteorology, hydrology, terrain, remote sensing, ground monitoring terminals and the like are obtained, and a unified data set is constructed through time synchronization, space resampling, abnormal value elimination and missing data filling; constructing multi-dimensional spatio-temporal features based on factors such as rainfall process, topographic features, surface coverage, drainage capacity, river network structure and soil humidity; inputting the spatial-temporal characteristics into a multi-source information fusion model, and predicting a flood occurrence probability in a future time period; flood risk indexes are generated according to the prediction probability, real-time monitoring and historical samples, and regional risks are divided into different grades; early warning information is automatically generated and issued according to the risk level; and the early warning result is fed back and corrected through field monitoring and patrol data, so that self-adaptive updating of early warning parameters and a model structure is realized.

The invention provides a power battery passport management method and device, electronic equipment and a storage medium. A data system covering the whole life cycle of a battery is constructed; obtaining power battery multi-source data reported by suppliers at all levels, binding the power battery multi-source data with a unique identifier of the power battery, and realizing evidence storage and verification through a block chain consensus mechanism; constructing a digital twin engine based on a preset battery electrochemical model and a thermal runaway model, performing working condition prediction on the battery operation state, and generating working condition early warning threshold data; and filling a preset passport template with the multi-source data and the working condition early warning threshold data, generating a power battery electronic passport, and performing versioning maintenance and uplink release. Unified management, credible evidence storage and traceability of power battery full life cycle data are realized, normalization and dynamism of passport generation are improved, prospective early warning of battery operation risks is realized in combination with digital twinborn prediction, and integrity, safety and compliance of the electronic passport are guaranteed.

The invention relates to the crossing field of artificial intelligence technology and e-government, and discloses an e-government enterprise service intelligent response method based on AI cue word engineering, comprising: constructing and maintaining a government knowledge graph and a scenarized cue word template library; receiving and analyzing a service request input by an enterprise, and extracting an enterprise feature tag and a business intention; selecting a target cue word template based on the matching degree of the enterprise feature tag and the scene tag of the template in the scene cue word template library, and generating an adapted cue word template; retrieving associated knowledge data from the government affair knowledge graph according to the service request, and filling the adapted cue word template with the retrieved associated knowledge data to generate a structured cue word; inputting the structured cue word into an AI model to drive the AI model to generate a government affair service response; and collecting multi-dimensional evaluation feedback of government affair service response, and carrying out iterative optimization. The demand understanding precision is improved, and the risk of core information misjudgment is reduced.

The invention discloses a robust lightweight time sequence prediction method based on bidirectional filling and geometric attention, and belongs to the field of multivariate time sequence data missing filling and prediction. The problem of monitoring data missing caused by frequent failure of the sensor in a complex geological environment is solved, and the accuracy and reliability of geological disaster prediction are improved. The invention provides a co-processing framework which is used for fusing a bidirectional cyclic interpolation time sequence (BRITS) and a SimpleTM light-weight prediction model, and is characterized in that the BRITS and the SimpleTM light-weight prediction model are combined with each other, and the BRITS and the SimpleTM light-weight prediction model are combined with each other. According to the framework, firstly, forward and backward time sequence dependence and multivariate variable relevance of sensor data are captured by utilizing a BRITS model, a failure mode is accurately recognized, and efficient data filling is realized; and then, in combination with a specific stable wavelet transform multi-scale decomposition and geometric product attention mechanism of the SimpleTM model, fine-grained time sequence characteristics of the filled data are deeply mined under low calculation overhead, and reliable support is provided for subsequent disaster prediction. According to the method, the prediction precision and robustness in a data missing scene are remarkably improved, meanwhile, the lightweight deployment requirement in a resource-limited tunnel construction environment is considered, and the railway tunnel construction safety is effectively guaranteed.

The invention discloses a power grid multi-source data fusion missing value filling method, a storage medium and electronic equipment. The method comprises the steps of obtaining three-dimensional load tensor original data of a source domain and a target domain, and executing preprocessing; constructing a source domain condition generative adversarial network model which comprises a generator and a discriminator; establishing loss functions of the discriminator and the generator; training a source domain condition generative adversarial network model; calling a generator of the source domain conditional generative adversarial network model to carry out filling training on training three-dimensional load tensor data of the target domain, and completing model parameter migration adaptation at the same time; in the migration process, shallow layer parameters of the source domain condition generation adversarial network model are frozen, and a staged progressive fine tuning strategy is adopted to train a target domain data filling model; and storing the trained target domain data filling model, inputting the missing three-dimensional load tensor data of the target domain, and outputting the three-dimensional load tensor filling data of the target domain. According to the invention, the problem of poor data filling effect caused by lack of sample data volume is solved.

The invention provides a measurement data reconstruction method based on edge computing, which takes an edge node as an execution main body, the edge node is in communication connection with a plurality of devices, and the method comprises the following steps: obtaining device data sequences collected by the plurality of devices in a preset sampling time period, and obtaining a cleaning data set based on the plurality of device data sequences; performing spatial difference degree analysis based on the cleaning data set to obtain an equipment spatial difference degree data set; based on the equipment space difference degree data set and the cleaning data set, carrying out elimination processing to obtain a preliminary data set; and based on the preliminary data set and the equipment space difference degree data set, performing data reconstruction processing under a preset missing data filling strategy to obtain a reconstructed data set. According to the technical scheme, data reconstruction is carried out based on the spatial difference degree, and the accuracy of data reconstruction is improved.

The invention discloses an electronic archive management method for a business document generation layout file, and belongs to the technical field of electronic archive management. Comprising the following steps: constructing a multi-dimensional feature vector by collecting business document scene features, screening candidate templates from a template pool by adopting a multi-level similarity matching algorithm, and adjusting and determining a target template in combination with a dynamic structure; the basic metadata and the associated system data are integrated, and qualified metadata is output through multi-level rule verification and abnormal data correction; based on the target template, executing data filling typesetting and format resource preprocessing by adopting a double-thread asynchronous processing mechanism, and generating a layout file conforming to PDF / OFD double standards through an adaptive algorithm; calculating a hash value of the layout file and writing the hash value into a block chain to realize tamper-proof evidence storage, and realizing secure storage and quick retrieval by adopting a distributed architecture in which a main file is separated from an index file. According to the method, the problems of low template matching precision, incomplete data verification, low processing efficiency, insufficient file safety guarantee and the like in the prior art are solved.

The application relates to the technical field of composite foundation bearing capacity, and discloses a multilayer composite foundation bearing capacity detection device and a detection method thereof. The device comprises a sensor array module, a data processing module, a bearing capacity analysis module, a calibration output module, a communication module and a user interface module. Static force parameters of the foundation are collected through a static sounding sensor, dynamic parameters of the foundation are collected through a dynamic sounding sensor, and deformation parameters of the foundation are collected through a fiber grating sensor, so that integrated collection of multi-source static and dynamic parameter data is realized. Meanwhile, a wavelet transform algorithm is used for noise filtering, and a K nearest neighbor interpolation algorithm is used for data filling, so that standardized foundation parameter data is generated, the consistency and accuracy of data preprocessing are ensured, and the soil layer is intelligently identified and hierarchically divided through K-means clustering algorithm-based foundation hierarchical division processing of the standardized foundation parameter data.

This invention provides an automatic report generation method based on business rules and regular expression matching, belonging to the field of data processing and report generation technology. The method includes: S1. Report requirement parsing; S2. Business rule definition; S3. Regular expression matching rule configuration; S4. Raw data acquisition; S5. Raw data preprocessing; S6. Business rule execution; S7. Regular expression matching validation and field extraction; S8. Report template generation; S9. Report data filling and generation; S10. Report validation and feedback optimization. This invention achieves accurate, automated, and flexible report generation through multi-stage collaboration and multi-algorithm integration.

Embodiments of the present application disclose a data processing method and device and a storage medium, which are mainly applied to a database management system. The method comprises: in response to a query operation of a user, obtaining a data identifier of to-be-queried data; constructing an authority query function containing the data identifier, and generating a query request, the query request comprising the authority query function; sending the query request to a server, so that the server converts the authority query function into a condition query function, the condition query function comprising the data identifier, the server generates a blank query interface based on the condition query function, and the server finds query data matched with the condition query function in a database of the server based on the data identifier, the server fills the query data into the blank query interface to obtain a query result; and receiving the query result sent by the server and displaying the query result. The data processing method provided by the embodiments of the present application can effectively improve the efficiency of data authority management.

The invention relates to the technical field of electromagnetic compatibility testing, in particular to a test document automatic generation method based on intelligent plan making. The method comprises the following steps: firstly, locking an effective standard based on environment-standard capability mapping, and triggering cascade constraints to determine a to-be-tested sample and a working mode; then analyzing a script to construct a parameter vector, and executing multi-dimensional Cartesian product operation; in the test data generation process, frequency parameters are extracted to serve as dynamic index keys, real-time retrieval is conducted, standard limit value constraints are injected, and a structured object list with embedded criteria is generated; and finally, positioning to a project XML document tree, serializing and injecting the data, driving a document object model to perform row-level style cloning and data filling by utilizing structured data, and associating resources to generate a persistent file. According to the method, full-coverage generation of the test data and automatic closed-loop of the criterion are realized, the problem of self-adaptive rendering of the variable-length data in a strict-format template is solved, and the completeness and normalization of document generation are improved.

The invention relates to a network planning method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: receiving business demand information input by a user, and performing intention analysis on the business demand information to obtain a structured intention object; converting the intention object into a logic element, and adding the logic element into a preset meta-model to trigger a logic element updating event; the meta-model is used for providing semantic standards of logic elements and data elements; responding to the logic element updating event through a co-processing framework, and calling an intelligent mapping engine to convert the logic element into a corresponding data parameter; and filling the data parameters in a data filling interface, and generating a network planning scheme containing the logic elements and the data parameters. By adopting the method, collaboration of a logic arrangement layer and a data filling layer can be realized, and the problem that logic design and data filling are disjointed is solved.

A method of processing experience-content data within natural language narratives comprises the steps of: capturing experience-content data from of one or more sources of information, analyzing the captured experience-content data so as to identify narrative structures, and linking each of the identified narrative structures to an actant category among a set of predetermined actant categories constituting an actantial scheme. The capturing step implements a conversational agent that is programmed to capture additional experience-content data, until all actant categories of the actantial scheme are filled with captured experience-content data.

The invention relates to the technical field of disability care modeling, and discloses a disability crowd care consultation digital twinborn modeling system based on a Longson scale. The system comprises seven functional modules, namely a data acquisition module, a data processing module, a condition screening module, a condition merging module, a time identification module, a digital twin modeling module and a decision-making module. The data acquisition module acquires the evaluation data of the Lungson scale of the disabled crowd, and the data processing module performs abnormal value processing and data filling on the data; the condition screening module is used for screening data meeting initial conditions and termination conditions of the care transient process from the processed data; the data merging module merges the two types of screened data, generates merged data and identifies the end time of the care transient process; the time identification module determines start time by using the merged data; the digital twinborn modeling module constructs a care process digital twinborn model, and the decision making module matches care decisions according to the start and end time of a care transient process, and assists in improving the care consultation accuracy and normalization of disabled people.

The invention relates to the technical field of positioning, and discloses a special operation safety guarantee method and system based on Beidou high-precision positioning, and the method comprises the steps: obtaining original coordinates, signal intensity, acceleration and angular velocity, and obtaining an estimated position through data integration and complementary calculation; signal state judgment is carried out in combination with the signal intensity, position correction is carried out according to a judgment result, and an accurate position is obtained; noise suppression and motion trail prediction are carried out in combination with the acceleration and the angular velocity, and smooth trail data are obtained; carrying out deviation analysis on the track data and pre-stored historical track data, and carrying out position optimization according to a deviation analysis result to obtain optimized track data; performing terrain correction and environment compensation in combination with a pre-established geographic information database to obtain continuous trajectory data; and according to the continuous trajectory data, performing integrity optimization through time sequence alignment and data filling to obtain complete trajectory data, and outputting low-risk positioning. According to the method, the navigation reliability and safety in a complex environment are improved.

Techniques are disclosed relating to extracting data from a document, using a large language model (LLM), to populate fields in a data structure. A computer system may receive a request to populate multiple fields of a data structure with data extracted from text of a document. The computer system parses the text using an LLM (as well as regular expressions or other parsing techniques in some embodiments). The parsing includes issuing, to the LLM, a sequence of queries targeting individual ones of the multiple fields. The computer system applies a validation algorithm to results received from the LLM in response to the sequence of queries. The validation algorithm confirms the presence of results in the text of the document and populates the data structured with the validated results. In various embodiments, the computer system performs an optical character recognition (OCR) on the document to determine the text for parsing.

The invention discloses a meteorological data processing method for a power system, and relates to the technical field of data processing, and the method comprises the steps: analyzing sensitive information, determining an expansion factor of a target power system, adjusting a basic region of the target power system through the expansion factor, and enabling the meteorological data to be more complete and comprehensive. And meteorological data filling is performed on the data missing region based on the data missing mode, so that the integrity of the meteorological region data is improved. And carrying out association processing on the meteorological characteristics and the power characteristics to obtain a meteorological-power association relationship, and constructing a plurality of typical meteorological scenes of a region to which the target power system belongs according to the meteorological-power association relationship. According to the method, weather and electric power are associated, typical weather scenes under different electric power characteristics are clustered, different electric power models of the target electric power system are constructed for each typical weather scene, electric power value information can be output more accurately and stably, and safe and stable operation of the electric power system is ensured.

The application discloses a message bus system management method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring an input character, determining a lowest level corresponding to the input character according to the format of the input character, and taking the lowest level as a matching level; a tree structure is used for storing data of the message bus system; if the matching level is a storage layer of the tree structure, a target parameter is extracted from a parameter layer field in the input character according to the format of the input character; a parameter field represents a method function; if the matching level is a parameter layer, a matching parameter corresponding to the input character is determined, and the input character is completed based on the matching parameter to obtain the target parameter; a corresponding relationship between the method function and the tree structure level is inquired, and a target storage layer corresponding to the parameter field is determined; and based on the data of the target storage layer, the input character is filled to obtain a complete command, so that the message bus system is managed by using the complete command. The efficiency and accuracy of the message bus system management can be improved.

The application provides a data intelligent filling method and related equipment, and relates to the technical field of data intelligent processing. Through the steps of obtaining data input information, identification processing, semantic inference, clarification correction and mapping execution, the problems that the prior art cannot effectively process diversified input, lacks context utilization, cannot actively clarify and cannot intelligently map are solved, the accuracy and intelligent degree of data filling are improved, the semantic ambiguity and information missing situation can be actively processed, intelligent data mapping across systems is realized, and the reliability and applicability of data intelligent filling are enhanced.

The application provides an animation processing method and device, electronic equipment and a computer readable storage medium. The method comprises: parsing a first animation file to obtain data included in an information interface displayed by the first animation file; taking at least one data as to-be-replaced content, and replacing the to-be-replaced content with a corresponding placeholder; obtaining target data, wherein the target data is used to update the first animation file; matching the target data with the to-be-replaced content, and filling the target data into a placeholder corresponding to the matched to-be-replaced content; and generating a second animation file based on the filling result. Through the application, the animation file can be automatically updated.

There is provided a method, device and computer program for navigating an agent in a multidimensional space, the method comprising: generating a data field that spatially corresponds to a multidimensional space in which an agent resides, wherein the data field is populated with observation comparison measure data with respect to a stored observation, the stored observation including second sensor data describing an environment of a first position in the multidimensional space, wherein the generating the data field comprises: obtaining a plurality of current observations made by the agent at different respective positions in the multidimensional space, the current observations including first sensor data describing an environment of each of the different respective positions in the multidimensional space; comparing each of the current observations with the stored observation to obtain respective observation comparison measure data for the different respective positions in the multidimensional space; and populating the data field with the observation comparison measure data according to the different respective positions in the multidimensional space; the method further comprising: determining a reliability measure associated with the stored observation by performing a reliability check of the data field; and managing a digital map of the multidimensional space by maintaining, updating, or deleting information in the digital map regarding the stored observation based on the reliability measure.

The invention provides a PLC code generation method. The method comprises the following steps of obtaining a process formula file defined by a user; the process formula file comprises a multi-layer structure, and the multi-layer structure comprises a variable definition layer, a step execution layer, a process jump layer and a process arrangement layer; extracting data from each layer structure of the process formula file to generate universal structured data; and obtaining a target PLC template, and filling the structured data into a corresponding position of the target PLC template to generate a target PLC code. The invention further provides a corresponding PLC code generation device. According to the PLC code automatic generation method based on the structured process formula file, standardized batch input of process logic and cross-platform code adaptation are achieved, the development efficiency is improved, the system flexibility is enhanced, and the maintenance cost is reduced.

The invention relates to the technical field of seafood radioactivity detection, in particular to a radioactivity detection information report generation method, device and equipment. Performing abnormal value detection on historical radioactivity detection data based on a quartile distance method; constructing a risk assessment model based on an analytic hierarchy process, an abnormal value judgment lower limit threshold and an abnormal value judgment upper limit threshold; performing logical analysis on the real-time radioactivity detection data according to the risk assessment model and a preset logical reasoning algorithm; when the logic analysis result meets the logic relation condition, constructing a radioactivity detection report template according to the logic analysis result; performing data filling on the radioactivity detection report template according to the real-time radioactivity detection data to obtain a radioactivity detection information report; according to the scheme, through abnormal identification, model adaptability improvement, comprehensive risk quantification and automatic report generation, marine product safety and consumer health are guaranteed, and supervision decision is assisted.

The embodiments of the present disclosure relate to a method and apparatus for creating media content, and a device and a storage medium. The method proposed herein comprises: acquiring first image data associated with a first user; sending first media content to a target session, wherein the first media content is generated by means of using the first image data to fill a first region of a target media template, and the target session is associated with at least the first user and a second user; and on the basis of an interactive operation performed by the second user on the first media content, presenting second media content in a session interface of the target session, wherein the second media content is generated by means of using second image data associated with the second user to fill a second region of the target media template.

The invention provides a data analysis index management method and apparatus, an electronic device and a readable storage medium. The method comprises the steps of obtaining business data; inputting the business data into the large language model to obtain analysis index data corresponding to the business data, the analysis index data including associated analysis indexes, data models and data relationship information; the analysis indexes and a data model are published, and the data model comprises computational logic and related fields of the analysis indexes; and extracting data related to the analysis indexes from the business data according to the data relationship information, and filling the data model with the data. The business data is analyzed through the large language model to obtain the corresponding analysis indexes, so that the problem of index definition errors caused by a manual mode is avoided; meanwhile, the data relation information and the data model are generated, so that the data association between the indexes and the data model can be clearly analyzed, and the flexibility of the data model is improved.

According to some example embodiments an operating method of a memory controller includes buffering first user data received from a host in a first region of a buffer memory corresponding to a first memory region of a memory device, receiving a flush request from the host, duplicating the first user data in a second region of the buffer memory corresponding to a second memory region of the memory device, padding, as padded data, the first user data duplicated to the second region with dummy data, programming the padded data in the second memory region of the memory device, buffering second user data received from the host in the first region, and programming, in the first memory region of the memory device, the first user data buffered in the first region and the second user data buffered in the first region.

System for automated consolidation and distribution of structured data includes a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to generate, using a content retrieval module, content retrieval parameters, receive input data as a function of the content retrieval parameters, process the input data by applying a scaling factor to each one of the input data, populate an action matrix as a function of the processed input data, wherein the action matrix includes action elements and each action element is assigned to an entity, generate, using an outcome machine learning model trained on outcome training data, a predicted outcome as a function of at least an action element of the action elements, and modify the at least an action element of the action elements and the action matrix as a function of the predicted outcome.

The application discloses a kind of underwater acoustic communication sending control method and system, applied to the processor with multi-level storage and cache architecture.The method allocates double-buffered storage space in advance in physical storage area;Water acoustic communication data is handled to generate time domain digital signal sequence by multi-carrier digital modulation;In response to the filling completion state of data to the first buffer, cache coherency synchronization operation is performed to write the latest data in the cache of the processor back to the physical storage area;Subsequently trigger the hardware data carrying engine independent of kernel, and send data through external interface;During data carrying, fill the subsequent generated data to the idle second buffer.The application solves the problem of memory access conflict and data transmission break under high sampling rate through multi-level storage isolation and software and hardware collaborative zero-copy pipeline mechanism, and guarantees the high quality, high continuity sending of OFDM underwater acoustic signal.

The application relates to the technical field of data collection, and provides a device terminal data collection method, system and device, and a device terminal. The method comprises the following steps: obtaining target device terminal data corresponding to a target data collection item according to a target collection frequency; filling the target device terminal data into a corresponding target data collection item in a format template to obtain a data template; compressing the target device terminal data in the data template to obtain a data packet; and sending the data packet to a server in response to a collection demand of the server. The application sets the target collection frequency, can control the volume and time of collected data, and the target device terminal data is actual data not including redundant key-value pair information. The target device terminal data is filled and compressed in a template, the data volume is further reduced, the consumption of network bandwidth, traffic and time is reduced in the data transmission process, the occupation of network resources is reduced, and the real-time performance of data collection is improved.

The present disclosure relates to the technical field of data processing, in particular to a DEM data filling method, a DEM data filling device, a storage medium and an electronic device. The DEM data filling method comprises: obtaining original DEM data, and detecting the original DEM data to obtain a depression point and depression point information; collecting real-time hydrological data, and predicting hydrological prediction information of the depression point based on the real-time hydrological data and the depression point information; determining a filling path of the depression point according to the hydrological prediction information and the depression point information; and filling the depression point in the original DEM data according to the filling path to obtain target DEM data. The DEM data filling method provided by the present disclosure can improve the accuracy of hydrological simulation.