39results about How to "Improve Data Retrieval Efficiency" patented technology

The embodiment of the invention discloses a data retrieval method and device, relating to the technical field of computers and being capable of inquiring a large number of records in a limited rapid memory and increasing data retrieval efficiency. The method provided by the invention comprises the following steps of: sampling an input integral characteristic value according to sampling length corresponding to a sampling characteristic value recorded in a first-grade retrieval term to be inquired and a preset sampling algorithm to obtain an input sampling characteristic value, and storing the first-grade retrieval term in a first-grade index table of the rapid memory; if the input sampling characteristic value is matched with any sampling characteristic value recorded in the first-grade retrieval term to be inquired, reading a corresponding second-grade retrieval term from a slow memory according to the address of the slow memory recorded in the first-grade retrieval term, wherein the second-grade retrieval term includes an integral characteristic value set; and the input integral characteristic value is matched with one integral characteristic value in the integral characteristic value set, acquiring data content according to a storage address of the data content corresponding to the integral characteristic value.

The embodiment of the invention provides a search method for a cloud storage system. The method comprises the following steps: receiving a first query request sent through user equipment; searching a corresponding object list item in a view according to the first query request, wherein the view is stored in an internal storage of the cloud storage system and corresponds to an object in a data base of the cloud storage system or a file system; and obtaining data of the objet searched by the user equipment according to the searched corresponding object list item. Therefore, the user equipment can directly query the object list item through the view in the internal storage of the cloud storage system without inquiring from containers in the database of the cloud storage resource management system or the file system, so that the data search efficiency is improved.

The invention discloses a medical information sharing authentication method based on a block chain, and relates to the technical field of the block chain. The method comprises the following steps: a doctor diagnoses a patient and stores a whole-course diagnosis result in a system provided by a medical institution, the doctor cannot create an electronic medical record, only the medical institutioncan create the electronic medical record and store an electronic medical record signature in an off-chain database, and then the storage address signature of the electronic medical record in the off-chain database is broadcasted to a block chain; visitors for the block chain and the off-chain database are only medical institutions; a doctor submits an application to a medical institution where thedoctor is located, the medical institution accesses the data on the block chain to obtain the address of the patient electronic medical record in the off-chain database, accesses detailed data of thepatient electronic medical record in the off-chain database, and finally sends the detailed data to a legal doctor through an internal system of the medical institution. The method has the advantagesof no forgery, anonymity, no tampering, no repudiation, traceability and the like.

The invention provides a classifying map method for industry information based on XML (extensive makeup language). The method utilizes XML to describe industry information classification standard and information unit data, and establishes a classification tree according thereto, dynamically extracts database inquiry code according to user needs, and utilizes a standard database procedure execution mechanism to improve the work efficiency of an industry information application system. The method comprises the following steps: (1) loading a description file and establishing an industry information classification tree; (2) driving traversal information classification tree to obtain classification node by information needs; (3) dynamically loading the database inquiry code when the node state indication is false, and setting the node state indication as true; (4) directly accessing the inquiry code corresponding to the node when the node state indication is true; (5) and conducting data inquiry procedure and acquiring data set. The work flow of the method is displayed as the above diagram. The method realizes the mapping to the industry information with large data amount and multiple classifications with the mode close to the need of industry user, thereby effectively increasing data retrieval efficiency and strengthening system expansibility.

The invention relates to the technical field of data retrieval, in particular to a search application data processing method and device, computer equipment and a storage medium. The method comprises the steps of monitoring a database log is monitored, and when it is monitored that a newly-added data stream is inserted into the database log, reading data table identification information and a data operation type from the newly-added data stream; searching a metadata structure corresponding to the data table identification information, obtaining a first application identification of the metadata structure, and extracting table level information from the metadata structure; when the data operation type is a data insertion operation, processing the data field of the newly-added data stream according to the metadata structure to generate an application metadata field; and searching an application table corresponding to the first application identifier from a search storage engine according to the table level information, and adding the application element field into the application table. By adopting the method, the data query performance can be improved.

The invention relates to the technical field of block chains, and discloses a block chain-based rapid data retrieval method, which comprises the steps of obtaining to-be-stored data, and performing encoding processing on the to-be-stored data by utilizing a pipeline-based data encoding scheme to obtain encoded data; storing the coded data into a block chain, and storing a copy of the to-be-storeddata into a block chain node by utilizing a time-based copy storage method; slicing the data stored in the blockchain by utilizing a data slicing mode based on the erasure code to obtain sliced data based on the erasure code; utilizing an index construction method based on a time sequence to construct a time sequence index; and utilizing the time sequence index of the data to quickly retrieve thedata. The invention further provides a rapid data retrieval system based on the block chain. According to the invention, data retrieval is realized.

The invention discloses a Solr-based Chinese search method for efficient full-text search by using Chinese. The Solr-based Chinese search method comprises the following steps: a SolrClound platform receives an inquire statement created by a Solrj client, the Solrj client is used for creating the inquire statement according to an inquire request of a user, and a plurality of Chinese index databases based on Chinese word segmentation are created in the SolrClound platform; the SolrCloud platform performs Chinese word segmentation on the inquire statement to obtain a plurality of Chinese words after Chinese word segmentation; the SolrClound platform separately creates corresponding search indexes according to the plurality of Chinese words; the SolrClound platform performs full-text search on the plurality of Chinese index databases in the SolrClound platform by using the search indexes which are separately corresponding to the plurality of Chinese words; and the SolrClound platform acquires a search result from the plurality of Chinese index databases and sends the search result to the Solrj client.

The invention relates to a millimeter-wave radar target speed ambiguity resolution method. The millimeter-wave radar target speed ambiguity resolution method comprises the steps of: S1, selecting a transmitting antenna, and adding a same linear frequency modulation signal with a time delay a before continuous linear frequency modulation signals are transmitted; S2, performing 2DFFT processing on the received signal according to the signal of the transmitting antenna which is received by the receiving antenna and is reflected by the target; S3, performing target detection according to a processing result of the 2DFFT and calculating a first fuzzy speed estimation value; and S4, calculating to obtain a second fuzzy speed estimation value according to the linear frequency modulation signal and the 2DFFT processing result of the linear frequency modulation signal with the time delay a. Through the scheme provided by the invention, the real speed of the target can be obtained.

The invention relates to a quick query method suitable for a research and development database. The method includes the steps that a storage server matches a retrieval label for the content in the database; a retrieval server conducts association correlation on the retrieval label; the retrieval server conducts retrieval hint on the retrieval label meeting the repeated appearance frequency requirement; the storage server stores a retrieval result and uploads the result to a publishing server; the publishing server synchronously sends the retrieval result to a cloud server and a publishing terminal. Therefore, quick matching of database content can be achieved by arranging an independent retrieval label. Label association can be achieved, and data retrieval efficiency is promoted. Retrieval word frequency prompt can be achieved, so that the retrieval efficiency is further improved conveniently. Retrieval data can be stored, and data safety is improved.

The invention provides a conversational data fuzzy retrieval method and device oriented to a large relational database. The conversational data fuzzy retrieval method oriented to a large relational database comprises the following steps: obtaining a query instruction; based on a pre-trained text multi-label classification model, classifying the query instruction to a corresponding target database; based on a pre-trained named entity recognition model, extracting an entity of the query instruction, and retrieving attribute data related to the entity from the target database; and based on a pre-trained semantic recognition model, performing semantic recognition on the query instruction, and comparing a semantic recognition result with the attribute data related to the entity to obtain a data retrieval result corresponding to the query instruction. According to the invention, the intelligence and retrieval efficiency of the retrieval system can be improved.

The invention provides a local database system and a retrieving and updating method of the local database system. The local database system comprises a local database and a retrieving and updating device. The local database comprises a metabolin nuclear magnetic resonance spectrogram information data table, a metabolin nuclear magnetic resonance spectrogram information domain processing unit and a metabolin nuclear magnetic resonance spectrogram information report form processing unit. When the local database is retrieved and updated, domains of a plurality of related data tables are combined into one domain, a query condition and update contents are input through a window, retrieving and updating are carried out in subdomains of the combined domain through an operation expression, a query result is output through a report form, and an updating result is output through the window. According to the local database system and the retrieving and updating method of the local database system, the data memory space is effectively reduced, and the retrieving efficiency is improved; the metabolin data tables do not need to be directly and repeatedly operated, the operating steps are simplified, the operating difficulty is lowered, and the updating efficiency and the data safety are improved.

The invention relates to a search method and system based on bidirectional mapping. By adopting first-grade mapping and second-grade mapping, on one hand, the problem that a user is lack of legal knowledge and cannot position own actual retrieval demand requirements very well is solved; on the other hand, the problem that the evaluation of lawyers practice conditions is not comprehensive, caused by a fact that determination and expressions of causes of action for administration cases in local courts of justice are different, is solved; on the basis of mapping in the two aspects, the butt joint of a user retrieval demand and a retrieval object is further realized, so that the user retrieval demand is accurately positioned, the accuracy of a retrieval result and the data retrieval efficiency are improved.

The invention provides a data retrieval method and device. The method comprises the steps of receiving a search request initiated by a terminal; determining a field type matched with the search request, wherein the field type is obtained by identifying query information contained in the search request based on a preset rule; according to the field type and a field marking type for pre-marking eachfield in the data table based on a preset rule, determining a field corresponding to the field marking type matched with the field type in the data table as a target field; and performing retrieval in the target field based on the query information. According to the technical scheme, the data retrieval efficiency can be improved.

The invention discloses a regional content space object indexing method based on a Geohash partition. Method module, the method module comprises a Geohash partition system module, a signal real-time transmission module, a spatial indexing method module and a display system module. The Geohash partition system module is composed of a Geohash algorithm module and a Geohash working system module, andthe Geohash algorithm module is connected with the Geohash working system module. A Geohash algorithm module in the Geohash partition system module is used for laying a foundation for the establishment of space modeling. According to the invention, a spatial index is established by using a two-stage staggered grid division method; spatial data information can be fully utilized; a plurality of contradictions such as unlimited increase of data volume, excessive invalid information, overlong query time and the like caused by over-dense grid division are relieved; therefore, the data retrieval efficiency is greatly improved, the indexing process is simple, convenient and clear, the indexed target is more accurate, errors are avoided, and compared with a traditional method, the method has great superiority.

The invention relates to a tape library based data protection system and method. The data protection system comprises a data backup server and a tape library, wherein the data backup server comprises a backup data storage module, a data archiving module and a position database, the backup data storage module is used for storing data backed up on a production server and a corresponding time point data set; the data archiving module is used for establishing a data archiving task, archiving data stored in the backup data storage module to the tape library according to the data archiving task by taking the time point data set as a unit and also recording the position of each data object in the tape library; the position database is used for storing positions of the data objects in the tape library. Compared with the prior art, the tape library based data protection system and method can effectively protect data, can reduce the cost by utilizing advantages of a tape and also facilitate management of data in the tape.

The invention provides a judicial assistant mechanism reputation evaluation method, system and device and a storage medium. The method comprises the following steps: obtaining historical reputation evaluation data of each judicial assistant mechanism; establishing a judicial assistant mechanism reputation evaluation model according to the historical reputation evaluation data; obtaining a static evaluation score of each judicial assistant mechanism based on a reputation evaluation model according to the historical reputation evaluation data; obtaining real-time reputation evaluation data of each judicial assistant mechanism in a set time period; obtaining a dynamic evaluation score of each judicial assistant mechanism based on a reputation evaluation model according to the real-time reputation evaluation data; and calculating a comprehensive evaluation score of each judicial assistant mechanism according to the static evaluation score and the dynamic evaluation score of each judicial assistant mechanism. The evaluation model is constructed by combining the collected historical data and big data analysis, and the judicial assistant evaluation method is given by collecting and processing the historical and real-time data, so that the efficiency of selecting the assistant by a judicial organ is improved.

The invention relates to a network model generation method and device, a computer readable storage medium and a logistics system. The network model generation method comprises the steps of S1, obtaining transportation data of a historical order; step S2, screening out key features based on the transportation data, the key features including departure place, destination and transportation associated information; and step S3, based on the key characteristics, generating a corresponding transportation relationship between the nodes of the network model and the nodes. Through the scheme provided by the invention, the order searching speed can be improved.

The invention provides a local database system and a retrieving and updating method of the local database system. The local database system comprises a local database and a retrieving and updating device. The local database comprises a metabolin nuclear magnetic resonance spectrogram information data table, a metabolin nuclear magnetic resonance spectrogram information domain processing unit and a metabolin nuclear magnetic resonance spectrogram information report form processing unit. When the local database is retrieved and updated, domains of a plurality of related data tables are combined into one domain, a query condition and update contents are input through a window, retrieving and updating are carried out in subdomains of the combined domain through an operation expression, a query result is output through a report form, and an updating result is output through the window. According to the local database system and the retrieving and updating method of the local database system, the data memory space is effectively reduced, and the retrieving efficiency is improved; the metabolin data tables do not need to be directly and repeatedly operated, the operating steps are simplified, the operating difficulty is lowered, and the updating efficiency and the data safety are improved.

The invention provides an operation behavior recording method and system applied to an operation behavior auditing system. The system comprises a violation rule definition module, a violation rule account binding module, an account auditing policy definition module, an operation behavior content data acquisition module, an account violation rule acquisition module, a violation judgment module and an auditing data recording module. The operation behavior recording method and system have the advantages that (1) an operation behavior is judged from the fine grit to whether the content of a behavior is violated or not, and it is defined that different auditing policies are adopted when a violation behavior and a non violation behavior occur, so that compared with a conventional auditing operation system, on the premise of meeting auditing requirements, the recording quantity of auditing data can be remarkably reduced and the occupation of storage space is reduced; and (2) violation data and non violation data are stored by partitioning, so that the retrieval can be carried out more efficiently and the data retrieval efficiency can be improved.

The invention discloses a high-load service storage and retrieval method for non-relational data storage. The storage process is to receive a request for creating / updating non-relational data, construct metadata information for the non-relational data, put the metadata information into a buffer and store the metadata information permanently. Gets the index key information, builds the index information, caches the index information, and stores it permanently. The retrieval process receives the data retrieval request, obtains the metadata information from the cache, and returns the metadata information. Searches for index information based on the metadata information and returns the index information. For a large amount of data, the invention can realize efficient storage and retrieval, andis simple and reliable, easy to operate and maintain, and low in cost.

The invention discloses an operation and maintenance data processing method and device. The method comprises the following steps of: 1, acquiring, converting and transmitting data; 2, classifying, concluding and storing the data; 3, carrying out data query and visualization processing. The operation and maintenance data processing device comprises an acquisition server used for acquiring operationand maintenance data source data, a data converter used for converting and transmitting the acquired operation and maintenance data, and a processing server used for processing and analyzing the operation and maintenance data, wherein the processing server is in communication connection with the acquisition server through the data converter. Based on the operation and maintenance data processingmethod and device, through classified storage, operation and maintenance data is classified according to specific target parameters, operation and maintenance personnel are helped to obtain the required target parameters, the working intensity of the operation and maintenance personnel is reduced, irrelevant items or useless items in the operation and maintenance data can be removed or stored additionally, and the data retrieval efficiency of the operation and maintenance personnel is improved.

The invention provides a multi-dimensional automatic vehicle identification method, which comprises the following steps that: S1, multi-dimensional roadside sensing equipment acquires multi-dimensional data of a vehicle, and sends the multi-dimensional data and time and position information for acquiring the data to a sensing data processing platform; S2, after the sensing data processing platform gathers the multi-dimensional data sent by the multi-dimensional roadside sensing equipment at different point locations within a period of time, performing feature evaluation on each piece of multi-dimensional data through a data dimension feature evaluation unit; and S3, on the basis of each multi-dimensional data feature evaluation, a multi-dimensional data association construction unit realizing the construction of an individual vehicle multi-dimensional data association relationship through observation and comparison of individual vehicle data diversity, and giving the confidence of the association relationship through an association confidence calculation unit, thereby realizing one-vehicle one-gear taking the vehicle as the center.

The embodiment of the invention provides a search method for a cloud storage system. The method comprises the following steps: receiving a first query request sent through user equipment; searching a corresponding object list item in a view according to the first query request, wherein the view is stored in an internal storage of the cloud storage system and corresponds to an object in a data base of the cloud storage system or a file system; and obtaining data of the objet searched by the user equipment according to the searched corresponding object list item. Therefore, the user equipment can directly query the object list item through the view in the internal storage of the cloud storage system without inquiring from containers in the database of the cloud storage resource management system or the file system, so that the data search efficiency is improved.

The embodiment of the present invention discloses a data retrieval method, electronic equipment, and a computer-readable storage medium. Starting from a node in a pre-established retrieval graph, the retrieval is performed in a predetermined retrieval manner to determine a set of candidate nodes and based on the candidate node The collection determines the retrieval results corresponding to the target data. In the embodiment of the present invention, when the similarity between the currently retrieved node and the target data is greater than the first threshold and the node matches the label information of the target data, the node is added to the candidate node set, and the currently retrieved node and the target data When the similarity of the node is greater than the first threshold and the label information of the node does not match the target data, the node is added to the candidate node set with a certain probability. Therefore, the embodiment of the present invention can support the retrieval of nodes that are similar to the target data and have matching label information. data, and can improve data retrieval efficiency.

The invention provides a hash mapping storage method for second flow thickness control. According to the method, second flow thickness control calculation is realized, a data structure of a hash tableis used, inlet thickness measurement values needed in the second flow calculation process are stored in the hash table with the fixed length, the advancing length of a strip serves as a keyword, a hash function is used for calculating a storage index, the thickness value of an inlet entering a roll gap at present is retrieved, and the method participates in calculation of a second flow controller. According to the method, a traditional first-in first-out queue data structure is replaced by a hash table data structure, when the currently used entrance thickness value is retrieved, only one-time calculation is needed, the shifting operation needed in the first-in first-out queue is omitted, the retrieval efficiency is high, the calculation time is short, and the method can be used for entrance thickness calculation in second flow thickness control.

The invention relates to a search method and system based on bidirectional mapping. By adopting first-grade mapping and second-grade mapping, on one hand, the problem that a user is lack of legal knowledge and cannot position own actual retrieval demand requirements very well is solved; on the other hand, the problem that the evaluation of lawyers practice conditions is not comprehensive, caused by a fact that determination and expressions of causes of action for administration cases in local courts of justice are different, is solved; on the basis of mapping in the two aspects, the butt joint of a user retrieval demand and a retrieval object is further realized, so that the user retrieval demand is accurately positioned, the accuracy of a retrieval result and the data retrieval efficiency are improved.

The invention relates to the technical field of transaction message storage and reading, and discloses a method for storing a transaction message based on a MongoDB database, a gateway layer is mainly used for receiving a transaction request sent by a client, generating a unique serial number from the request, temporarily storing the serial number of the request to a context environment of the transaction request of the gateway layer, obtaining a request message and a response message by the context environment, and the storage mode of the gateway layer and the MongoDB adopts an asynchronous thread form. According to the method, the request message and the response message in the transaction message are converted into the MongoDB document format in an asynchronous mode, the MongoDB document format is stored in the MongoDB database through the asynchronous thread, the execution process and the execution efficiency of the original transaction are not affected in the storage process, the stored data volume can support more than a hundred million level record number through a sub-library sub-table mode, each request message and each response message can be quickly retrieved and associated through different retrieval conditions, so that the data retrieval efficiency and the message checking accuracy of problem backtracking are remarkably improved.