34results about How to "Improve data utilization efficiency" patented technology

The embodiment of the invention discloses a data reading method and a data reading device, which are applied to electronic equipment. The method comprises the following steps: reading target data from a storage unit at first reading speed; monitoring storage parameters of the storage unit, and judging whether the storage parameters meet a first predetermined condition or not; acquiring a regulating command when the storage parameters of the storage unit meet the first predetermined condition; reading the target data from the storage unit at second reading speed according to the regulating command, wherein the first reading speed and the second reading speed are different, i.e. according to the data reading method and the data reading device disclosed by the embodiment of the invention, variable-speed reading is performed on the data by monitoring data volume in the storage unit by taking the change of the data volume in the storage unit as the basis of the reading speed, and therefore, the user experience is improved, and the data utilization efficiency is improved.

The invention provides an unmanned aerial vehicle maneuvering avoidance decision-making method based on deep reinforcement learning, and belongs to the technical field of unmanned aerial vehicles. According to the technical scheme, the method comprises the following steps: S1, acquiring friend or foe situation information according to an airborne sensor system of an unmanned aerial vehicle; s2, constructing an unmanned aerial vehicle maneuvering avoidance decision deep reinforcement learning model structure; s3, constructing a hierarchical target-oriented learning model structure; s4, completing unmanned aerial vehicle maneuvering avoidance decision-making method learning according to interactive training; and S5, deploying and applying the unmanned aerial vehicle maneuvering avoidance decision-making method. The method has the advantages that the unmanned aerial vehicle can be endowed with the learning ability from shallow to deep, the unmanned aerial vehicle can autonomously complete maneuvering avoidance decisions, and the survival ability of the unmanned aerial vehicle on a battlefield is improved.

The invention provides a global indexing method, which comprises the following steps: obtaining the logic identifiers of tag points, wherein the logic identifiers of the tag points are successively formed by the practical identifiers of each entity in a factory logic structure which comprises the tag points from top to bottom; successively sorting the logic identifiers of the tag points; according to the sequence of the logic identifiers of the tag points, successively distributing the tag points for each storage cluster node; and mapping the identifier of each cluster node and the logic identifier of the corresponding tag point to form a global index table. The method can effectively improve the space continuity of tag point storage, reduces data exchanged carried out among a plurality of storage nodes by a database collector or a second computation process and lowers the instability of network transmission load and business flow, the global index table of which the identifier of the storage cluster node and the logic identifier of the tag point are mapped can be obtained, and data use efficiency can be effectively improved.

The present invention disclosed a method of multi -characteristic integration of online academic report classification methods; its characteristics include: 1. Collect and establish an academic report database, according to the information of the organizer in the databaseAmong some disciplines; 2. Establish a database of researchers across the country, match the information of the reporter in the academic report, and determine the classification; 3. Extract the keywords in the title of the data of the academic report; 4.Expansion of synonymous words; 5. Expansion of synonymous words to classify the characteristics obtained after expansion; 6. The classification results of the synthesis obtained the final classification result of the academic report.The present invention classifies academic reports through multiple factors to ensure the speed and accuracy of classification.

The invention discloses a data privacy protection method based on a dynamic context, which is characterized in that it includes the following steps: (10) Semantic coding: adopting an XML document semantic coding scheme to store and code source data objects; and provide user personalized information according to the coding scheme Privacy bipartite graph, and dynamic knowledge context representing its knowledge background; (20) User login: obtain the user's visible range and dynamic knowledge context; (30) Access operation: take query as the basic operation, and perform routing on the visible range (40) Dynamic knowledge context update: update the dynamic knowledge context according to the superposition of user query operations and the accumulation of acquired prior knowledge. The data privacy protection method of the present invention has high information security, high data utilization efficiency, and good real-time resistance to reasoning attacks.

The present invention provides a nuclear power plant equipment data carding system and method, the system includes a data acquisition module for collecting data running in the source system into the module; for cleaning the collected data according to preset rules, so that The data cleaning module that meets the requirements of data configuration; it is used to classify equipment objects, sort out organizational functions, generate node diagrams of the entire life cycle of equipment objects, obtain business data sets of equipment objects in nuclear power plants, and establish The data configuration module of the panorama of nuclear power plant equipment object relationship; the output interface module used to output or export the configured data through the template format set in advance. The present invention sorts out the data of nuclear power plant equipment objects, establishes a panorama of nuclear power plant equipment objects, establishes a data set of nuclear power plant equipment, improves data quality, organizes disordered information in an orderly manner, facilitates retrieval and use, and improves data quality. usage efficiency.

The invention relates to a sensing data recorder with diversified application scenes, and mainly relates to the technical field of temperature and humidity monitoring, the sensing data recorder comprises a shell, and a receiving module, a processing module and an uploading module are arranged in the shell; the receiving module is used for receiving sensing data; the processing module is respectively connected with the receiving module and the uploading module and is used for processing the sensing data and acquiring a processing result; and the uploading module is used for uploading the processing result to the server. The sensing data recorder can switch different working modes according to actual needs of working scenes, so that the diversity of application scenes of the sensing data recorder is improved; through the Internet of Things module, a user can remotely monitor the sensing data recorder through the server, so that the working efficiency of the sensing data recorder used in various scenes is improved; the ID information acquisition module is used for reading the ID recording element of the card holder or the container, so that the accuracy and reliability of the acquired data are improved, and the accuracy of the sensing data recorder used in various scenes is higher.

The invention discloses a method for range control of spatial data. The method includes the steps of generating a specific spatial range parameter according to different input query conditions, and carrying out spatial superposition operation on various spatial data by using the parameter, wherein a calculation result is the result of carrying out range restriction on the spatial data. The methodfor range control of the spatial data provided by the invention can update the control range of the spatial data in real time, reduce the data processing work and improve the data utilization efficiency.

The invention provides a DOM (Document Object Model) making method based on color point cloud, which can obtain relatively accurate color information. Comprising the following steps: S1, determining a range of a DOM to be made, and constructing an external rectangular region covering point cloud data; s2, performing gridding on the rectangular region in the step S1, so that the length value and the width value of each grid are equal to the resolution value of the DOM to be generated; s3, calculating the plane coordinate of the center point of each grid; s4, RGB values of all point clouds in the rectangular area are obtained, and the RGB values of the point clouds included in each grid are averaged; calculating the elevation of the central point of each grid; and generating raster data to obtain a DOM file. While the utilization efficiency of the LiDAR point cloud data is improved, the cost is effectively saved, and the working efficiency is improved.

The invention discloses a digital oil field comprehensive application system. The digital oil field comprehensive application system includes the following components of: a cache module used for caching data in a first database built by the system itself; an integrated data module used for reading data from a second database through a data service bus; a platform data module used for storing system data of a storage system; a new development service module used for reading data from a data layer and writing data into the data layer, and carrying out data processing; an integrated service module used for reading data from existing N target systems and carrying out data processing, wherein N is a positive integer; a new function development module used for providing list making, query, report and application customization functions and transmitting service requests to the new development service module through an enterprise server bus; and an integrated function module used for providing report and list making and query functions and transmitting service requests to the existing N target systems through the enterprise server bus. With the digital oil field comprehensive application system provided by the above technical schemes of the invention adopted, the technical problem of incapability of realizing trans-disciplinary and trans-department data comprehensive application in the prior art can be solved.

The invention discloses a multi-objective robot control method based on dynamic models and post-event experience playback. The invention can learn the strategy of completing the entire target space, and has more advantages than the existing methods in generalization; the invention adopts the model-based The value function estimation and post-event experience playback of the method improve the data utilization efficiency in multi-objective reinforcement learning; compared with other offline value function estimation methods, there is no offline deviation. Although there are model errors, the present invention uses single-step and multi-step value function estimation. Weighted summation balances model error and learning speed, and has better performance.

The invention discloses an intelligent interview system and method. The system comprises a classification evaluation module configured to perform classification operation on expectation of a user through a pre-established expectation analysis model to obtain an expectation analysis result, and perform capability level classification evaluation on capability of the user through a pre-established capability level analysis model to obtain a capability analysis result; the dispatching output module is configured to match the users based on the expectation analysis result and the capability analysis result; the interaction calculation module is configured to generate a pre-interaction scheme based on the related information of the matched user, analyze interaction data generated by the matched user in the interaction process and generate an interaction response scheme; and the simulation interaction module is used for creating a virtual character based on the pre-interaction scheme and generating a response of the virtual character in the interaction process based on the interaction response scheme so as to carry out intelligent interview.

The invention discloses a multi-structuralized data accessing method based on semantic dependence. The method comprises the following steps of (10), user log-in, wherein a user body is labeled, and auser semantic dependence set of the user body based on the semantic dependence is obtained; (20), user global view obtaining, wherein according to the labeled user body and the user semantic dependence set, a global view reverse arrangement generating algorithm is adopted to obtain a user global view; (30), global view updating, wherein according to a changing mark, the dynamic change of data source privacy requirements is judged, and the user global view is subjected to semantic correlation updating to obtain a recombined user global view. The multi-structuralized data accessing method is high in information safety and data utilizing efficiency.

The invention provides a method for detecting BCR and TCR immune repertoire in blood plasma cfDNA. The method includes: blood plasma cfDNA extraction, BCR H chain overall length multiple PCR amplification, TCR beta chain CDR3 multiple PCR amplification, PCR amplification after the products of the two previous amplifications are mixed in an equal-volume manner, high-throughput sequencing, and immune repertoire precise information analysis. The primers of the three amplifications are respectively shown in SEQ ID No. 1-28, SEQ ID No. 29-77 and SEQ ID No. 78-79. The invention further provides a kit, which contains the primers, for detecting the BCR and TCR in the blood plasma cfDNA. By the method and the kit which are promising in application prospect in the field of non-invasive detection, the BCR and TCR in the blood plasma cfDNA can be detected at the same time, precise information analysis and precise quantification of immune repertoire subcloning are achieved.

The embodiment of the invention discloses a data reading method and a data reading device, which are applied to electronic equipment. The method comprises the following steps: reading target data from a storage unit at first reading speed; monitoring storage parameters of the storage unit, and judging whether the storage parameters meet a first predetermined condition or not; acquiring a regulating command when the storage parameters of the storage unit meet the first predetermined condition; reading the target data from the storage unit at second reading speed according to the regulating command, wherein the first reading speed and the second reading speed are different, i.e. according to the data reading method and the data reading device disclosed by the embodiment of the invention, variable-speed reading is performed on the data by monitoring data volume in the storage unit by taking the change of the data volume in the storage unit as the basis of the reading speed, and therefore, the user experience is improved, and the data utilization efficiency is improved.

The invention belongs to the technical field of big data, and in particular relates to a hyper-integrated full-stack cloud data center system. The system and method include: a business layer, a backbone network, a service layer, a fusion layer, and a base layer; the backbone network obtains information of different scales, depths, and types of each layer, and provides data transmission for each layer; The fusion layer completes data fusion by setting multiple resource data pools and multiple sequentially stacked fusion branch networks; the business layer provides users with business access; the service layer realizes data security in the cloud Encryption, load balancing, data backup and cloud hosting services; the base layer provides underlying hardware support for the system; it has the advantages of low data redundancy, high operating efficiency and high data security.

The invention discloses a method, device and system for determining cache time. The method includes: when the client of the whole network accesses the target page, respectively returning the resource corresponding to the target page to the prefetch server; the prefetch server obtains the attribute information of the resource by analyzing the resource In this way, a plurality of attribute information for the corresponding instance of the resource is collected in units of pages; the prefetch server calculates and records the cache time corresponding to the resource according to the distribution of the collected attribute information ; The prefetch server provides the cache time to the client. It can be seen that the present invention takes the page as a unit to obtain the attribute characteristics corresponding to the page and the page resources when the users of the whole network access a certain page, respectively perform statistics according to the distribution of the attribute characteristics, and count the corresponding optimal cache time of the page resources, When prefetching, the browser will cache page resources according to the optimal cache time, thereby improving network efficiency.