92results about How to "Meet query needs" patented technology

The embodiment of the invention provides a data processing method and device used for knowledge quizzes, a server and a medium. The method includes the steps of conducting intention identification ona received target query voice to obtain target intention and current key information; on the basis of an intention framework constructed in advance, determining whether or not the current key information meets the query demand of the target intention; if not, obtaining corresponding target key information meeting the query demand by means of a man-machine interaction mode; on the basis of the target intention and the target key information, searching a knowledge base created in advance for a target answer corresponding to the target query voice. The data processing method and device, the server and the medium solve the problem that real intention of users cannot be directly obtained when answers are provided for the users; the accuracy and completeness of identifying the intention of the users can be improved, and therefore the answers are found in the credit card knowledge base and fed back to the users, so that the user demands are precisely met.

The invention discloses a Chinese label extraction method for clustering search results of a search engine, which comprises the following steps of: S1, inputting search words by a user to form an input document; S2, selecting candidate words, and scoring all the candidate words; S3, judging whether unmarked candidate words exist, if not existing, skipping to a step S8; if existing, selecting a candidate word with highest score, expanding the selected candidate word into a set of ordered word sequences containing the word, and entering a step S4; S4, calculating the frequency of each ordered word sequence, and extracting the high-frequency word sequence; S5, scoring the high-frequency word sequence, and selecting a candidate word sequence; S6, judging whether the candidate word sequence is accepted as a label, if so, entering a step S7, otherwise, returning to the step S3; S7, performing clustering according to the generated label; and S8, completing the operation. The method can reduce noise labels, and the labels have better representativeness, simplicity and integrity.

The invention discloses a method for recommending documents based on tags and a document recommending device. The method comprises the following steps of: receiving a document tag selected by a user, searching a previously set synonym word collection and obtaining a synonym group corresponding to the document tag; according to the obtained synonym group, searching and obtaining a document list containing the synonym group from a previously stored document library; calculating the characteristic value of each document in the document list containing the synonym group, and constructing a space weight vector based on the document tag; and according to the constructed space weight vector based on the document tag, calculating the similarity of documents corresponding to the document tag with each document in the document list, selecting a preset number of documents with the highest similarity as searched results and outputting the searched results. Through the application of the method and the device, the document recommending efficiency can be increased.

The invention relates to the technical field of big data, and discloses a data processing method, which comprises the following steps: collecting legal document data of a specified legal website; performing entity relationship extraction processing on the legal document data to obtain named entity objects of each legal knowledge point in the legal document data and entity relationships among the named entity objects; identifying entity attributes corresponding to the named entity objects in the legal document data by adopting a regular expression; constructing a legal knowledge structure chartbased on a chart database by taking the named entity object, the entity attribute and the entity relationship corresponding to each legal knowledge point as source data; and by taking the legal knowledge structure chart as a database, creating legal knowledge points and a similar case query page for legal knowledge retrieval. The invention further discloses a data processing device and equipmentand a computer readable storage medium. According to the constructed legal knowledge graph, basic knowledge in the legal field is collected, and the retrieval efficiency of legal personnel on the legal knowledge is improved.

The invention discloses a manufacturing method of a vector numerical map, which comprises the following steps of: dividing the map into a plurality of map blocks, and endowing each map block with a unique identifier; determining all feature points on each map block, which can show map information appearance, and prestoring position information data of the corresponding map block on which the feature points are positioned by taking one map block as a data unit; and making a drawing program for drawing the feature points on map information to form a pattern which is close to the map information appearance to be displayed, and displaying the pattern on a screen of a display terminal. The manufacturing method can overcome the defects of large data volume, slow transmission and the like of the numerical map in the prior art effectively so as to accelerate the display speed of electronic maps and meet the query requirements of users. The invention also discloses a display method and a system of the vector numerical map.

The invention discloses an industrial data storage and index method based on time series, which is used for storing industrial data in the same time slot into a data file and storing data belonging to the same acquisition point into the same physical block, so as to avoid the trouble of storing tags of acquisition points corresponding to all industrial data, save the storage space and remarkably improve the data storage efficiency in case of tens of thousands of industrial data in the industrial field. During inquiry, the corresponding data file is indexed according to the time slot of the industrial data to be inquired, the corresponding initial physical block is indexed according to the tag of the acquisition point to be inquired, and the physical storage location of the industrial datain the time slot required to be inquired according to the beginning and the end time in the initial physical block and the pointer of the next physical block. By adopting the method, the industrial data in a time slot can be quickly indexed and inquired in large batches, so that the inquiry requirements of industrial data can be satisfied.

The invention relates to a method for storing massive industrial equipment monitoring data by means of a non-relation database, and belongs to the technical field of computer database management. At first, a plurality of unstructured data management systems form a non-relation database cluster of a distributed structure, the massive industrial equipment monitoring data are read from a relation database, the read monitoring data are stored into multiple client machines in a form with text files are separated by commas, a non-relation database storage mode is constructed, and the text files separated by commas and on the client machines are led into the non-relation database cluster. According to the method, the massive equipment monitoring data can be effectively stored, rapid data inquiring and analyzing are supported, enterprises can inquire and analyze the massive monitoring data, information having commercial value in the monitoring data is excavated, and finally the purpose of providing references for designing, manufacturing, marketing, using, maintaining and other aspects of industrial production is realized.

The invention discloses a logistic network load query method and system. The logistic network load query method comprises that a logistic network load query request is received, and a logistic object C and a logistic line L corresponding to the query request are determined; the delivery amount M(u) of a random user u within a target time period Ta-Tb is estimated according to historical sales data; the distribution amount M(u, L) of M(u) in the logistic line L is calculated according to historical distribution of consigner and consignee addresses of the user u; the distribution amount M (u, L, C) of the M (u, L) of the logistic object C is calculated according to the historical distribution of logistic objects selected by the user u; and sigma M (u, L, C) is calculated aimed at the logistic object C and the logistic line L, and the calculation result is used to respond to the query request.

The invention provides a query processing method, which relates to the field of cloud computing and comprises the following steps that: a service node analyzes a query request and generates a corresponding logic execution plan; the service node judges whether the logic execution plan belongs to OLAP scale query service or OLT scale query service; when it is judged that the logic execution plan belongs to OLAP scale query service, the service node divides the logic execution plan into a plurality of logic execution sub-plans; the coordination node generates a first physical execution plan corresponding to the logic execution plan and feeds back the first physical execution plan to the service node, and the first physical execution plan records node information of processing nodes corresponding to the logic execution sub-plans; the service node distributes each logic execution sub-plan to the corresponding processing node according to the first physical execution plan; the processing node processes the corresponding logic execution sub-plan to obtain a query sub-result, and reports the processing sub-result layer by layer; and the service node gathers the received processing sub-results, generates a final query result and feeds the final query result back to the user.

The invention discloses a data processing method. The data processing method comprises the following steps: obtaining traffic monitoring data of equipment such as a camera and the like, wherein the traffic monitoring data comprises time data, location data, and identification data; determining the target data granularity; performing partition analysis on the traffic monitoring data according to atleast one of the time data, the location data and the identification data, and the target data granularity to obtain a first analysis result; and performing statistics on monitoring records in the traffic monitoring data that meet a screening condition according to the screening condition set based on the first analysis result to obtain a second analysis result. In the scheme, the second analysisresult can be directly applied to a data query process of a data analysis model, and the data query does not need to analyze the traffic monitoring data; therefore, the query time is greatly reduced,and the query efficiency is improved.

The invention discloses an intelligent ship lock operation and maintenance system based on BIM, which belongs to the technical field of ship lock management and control. The system includes a BIM management subsystem, an equipment management subsystem, a fault detection subsystem, an operation and maintenance management subsystem, a platform management subsystem and a database. The technical problem on how to realize centralized management and control of the operation states of equipment in a ship lock control system is solved by taking standardized BIM as the model basis. By taking standardized BIM as the model basis, the requirement of ship locks for the integration of storage and query of building, maintenance and management data can be satisfied. The random forest of the invention, asa novel artificial intelligence method, has good classification performance and robustness. As the advantage of the invention, the fault diagnosis technology combines expert knowledge with the artificial intelligence method organically.

The invention provides a method for conducting term matching on the basis of a double-array lexicographic tree. The method is characterized by comprising the steps of index creating, wherein a location of the double-array lexicographic tree is generated, an ID of a secondary index of a memory cache system is calculated, and an index is created for items; term querying and matching through the index, wherein the location of the double-array lexicographic tree is generated, word segmentation is conducted, and term matching is conducted on the basis of the index. Not only can multiple querying requirements of term matching be met, but also the overall matching performance is improved.

The invention discloses a method using fixed-length fields to optimize iterative inquiry, including: set up a fixed-length major key field in database; choose the values of all the condition-matched recorded major key fields and save in a disk file according to specific requirements; set up iterative device and batch inquire the database through iterative device, construct the SQL sentence through read the values of major key fields in disk file during inquiry; after the completion of iterative inquiry, delete the iterative device and the value saved in disk file. The invention optimizes the present widely used iterative inquiry method, solve problems that when large amount of data inquiries can not obtain high inquiry speed and occupies large amounts of EMS memory problem and so on.

The invention relates to a map data query method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a current position of a vehicle; requesting map data matched with the current position from a cloud database; caching the requested map data in the local; constructing a spatial index of the map data locally according to road elements in the map data; and when a query request sent by an application layer is obtained, querying map data corresponding to the query request from the local through the spatial index. According to the scheme, system storageresources can be saved.

The invention discloses a database query field generation method and apparatus, which relates to the technical field of databases and is invented for solving the problem that a user cannot freely define query fields. The method comprises the steps of receiving a field definition rule established based on a basic data structure, wherein the field definition rule contains one or more query fields in the basic data structure and an operational relationship among the one or more query fields; verifying whether the field definition rule conforms to a query rule of the basic data structure or not; and if the field definition rule conforms to the query rule of the basic data structure, generating a relationship table corresponding to the field definition rule in a database, generating self-defined query fields corresponding to the field definition rule, and storing the self-defined query fields. The method and the apparatus are mainly applied to a process of performing field self-definition on the relational database.

The invention discloses a method and device for achieving switching of tab pages and a browser client side. The method comprises the steps that keyword information input into a browser input field is acquired; whether the keyword information meets a preset tab page search format or not is judged; if yes, information of all open tab pages in a browser at present is acquired, matching between the keyword information and the information of all the open table pages at present is conducted to obtain a matched tab page; access to the matched tab page through switching is provided in the browser input field, and therefore the matched tab page can be switched to through the access. According to the technical scheme, a user can obtain the switching access of the tab page matched with input keywords in the input field only by inputting the keyword information into the browser input field, and therefore switching of the tab pages can be conveniently conducted, the inquiry requirements of the user are met, the inquiry habit of the user is met, and great convenience is provided for the user.

The invention relates to an object-oriented kernel layer database, and the database is characterized in that when the database runs, all data is stored in a memory allocated by a kernel layer; the database is object-oriented and is uniformly described by an architecture definition; an access unit of the database is an object and an object attribute, and the database comprises an interface layer, wherein the interface layer is is used for receiving and processing an access request and a structured query request of an object; a logic layer which is used for realizing object access, wherein the operation on the object is based on an object identifier, and the object identifier can be calculated and converted into an object pointer of a programming language; a physical layer which is used for realizing data access of objects and object attributes, wherein the physical layer is also used for storing a global index table, the global index table is used for establishing a path index of a specific type of object, and the physical layer is also used for realizing persistent storage of the object data and the object attribute data. Therefore, storage and query requirements on complex objects in a kernel scene are met, and the access efficiency is improved.

The invention provides an optimal ordered path query method based on interest point preferences. The optimal ordered path query method based on interest point preferences can efficiently solve the problem of optimal ordered path query of a user under different interest point preferences. The method comprises a reference point inverted index and a cyclic optimal sub-path algorithm. The method comprises the following steps: firstly, selecting reference points for a road network, performing node embedding on interest points by using the reference points to obtain corresponding distance vectors, and constructing a reference point inverted index; the results are then searched using the cyclically optimal sub-paths. The cyclic optimal sub-path algorithm comprises two stages of filtering and updating, in the filtering stage, a guide path is rapidly obtained through the optimal sub-path algorithm based on dynamic planning, and then path extension is carried out according to the guide path in the updating stage. And the filtering and updating process is circularly carried out until the optimal ordered path meeting the query requirements of the user is found.

The invention discloses a quick data query method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining query information, and analyzing the query information to obtain a query keyword; judging whether the query keyword is in a pre-constructed hot word index or not; when the query keyword is in the hot word index, obtaining target data from a cache database; when the query keyword is not in the hot word index, obtaining an associated keyword according to the query keyword and a preset keyword association table, obtaining initial return data from a dynamic database according to the associated keyword, and optimizing the initial return data to obtain target data; and obtaining a query result according to the target data. According to the method, the parallel processing and query efficiency of the big data can be improved, the real-time query of the business data is realized, the operation efficiency of an enterprise is improved, the operation and maintenance cost of the enterprise is reduced, a business query result is more comprehensively and accurately provided, and the experience feeling of a user is improved.

The invention discloses a video concentrating method and device, a computer readable storage medium and a computer apparatus. The video concentrating method comprises the following steps: for any video frame of a set video, determining preset bit information corresponding to the any video frame, wherein the preset bit information corresponding to the any video frame is used for characterizing information of a preset bit to which a camera operates when the any video frame is shot; if determining that the any video frame includes a set moving object, determining the any video frame as a key frame; and performing concentration and integration on each of the key frames having the same preset bit to generate a concentrated video. In other words, through determining the preset bit information corresponding to each of the video frames, video frames shot by the camera at a same preset bit are concentrated to a same video and thus the video concentration on a set scene can be implemented; and the problem that existing video concentration methods cannot perform the video concentration on the set scene is solved and thus the inquiry requirement on a scene is also met.

The embodiment of the invention discloses a pre-calculation result generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a feature vector set, the feature vector set being determined based on a dimension combination queried by a query statement within a preset time; inputting the feature vector set into a query popularity model, obtaining the score of each feature vector in the feature vector set, and obtaining the query popularity model based on data table static features and historical query statements through pre-training; determining an expected score value of each feature vector according to the score of each feature vector; and based on the expected score value of the feature vector, screening out a target feature vector meeting the query expectation from the feature vector set, and performing pre-calculation based on the target feature vector. According to the embodiment of the invention, the calculation efficiency of the pre-calculation result is high, the number of calculation results is small, less storage space is occupied, and the storage overhead is reduced.

The invention discloses a method for customizing and exporting data in a service management system, which comprises the following steps that: in a first stage, a, a client transmits a complete class name to a server; b, the server performs dynamic loading and acquires an attribute information list in a reflection mode; c, annotation and extension information are obtained through the field list; d,a user interaction interface is generated; in the second stage, a, a user selects on the interactive interface; b, the server carries out SQL splicing; and c, the inquired result is exported. Compared with the prior art, the method has the advantages that the export function module is extracted and decoupled from the specific service system, and the functions of user-visualized and understandablefield selection, user-defined query condition and sorting mode are achieved. According to the method, a large amount of repeated workloads are saved, the working efficiency is improved, the development cost is reduced, the user perception and satisfaction are improved, and the query requirements of users in various aspects are more flexibly met.

The invention relates to a global mobile communication system technology and discloses a microphone calibration information acquiring method and a microphone. In the invention, a mark used for marking whether the microphone is calibrated or not is arranged in a coded program in the microphone, the value of the mark is set into a calibrated value after the microphone is calibrated, and the information whether the microphone is calibrated or not is acquired by querying the value of the mark. A tester can acquire the information whether the microphone is calibrated or not conveniently and simply by querying the mark, therefore, the test operation carried out on the microphone which is not calibrated or loses calibration data is effectively avoided, and the invalid test is avoided to the largest extent.

The invention discloses an information matching analysis method and device, a computer system and a readable storage medium, belonging to the technical field of big data. The method comprises the following steps: creating a database in which pathological information and case data are stored; receiving a retrieval condition output by a user side, and extracting case information from the database according to the retrieval condition; comparing the matching degree of the retrieval condition and the structured information of the case information to obtain a structured score; comparing the matchingdegree of the retrieval condition and the unstructured information of the case information to obtain an unstructured score; according to the structured score and the unstructured score, acquiring association scores expressing the matching degree between the retrieval condition and the case information; based on the association scores of the retrieval condition and the case information, arrangingthe association scores to obtain a score set; and outputting the case information to the user side according to the sequence of the associated scores in the score set. According to the invention, a doctor can adjust the importance degree of each piece of information in the retrieval condition according to requirements, so query precision is improved.

The invention belongs to the technical field of real-time capture, storage and retrieval of network traffic, and particularly relates to a distributed network traffic retrieval method and device. The method comprises: acquiring data; recombining a session and extracting metadata; writing the session into a disk; and performing a distributed retrieval algorithm DSearch and data storage. The invention provides a distributed index establishment algorithm DIndex and a distributed retrieval algorithm DSearch, which can support distributed real-time high-speed network full-traffic storage, indexing and retrieval services, and satisfy the use requirements of users for high bandwidth and multiple branches.

The invention discloses a data processing method and device based on a block chain, and the method comprises the steps: receiving a plurality of pieces of operation data from a plurality of data chains in the block chain, with the operation data comprising operation execution sequence information and operation basic information; sequentially storing the plurality of job data in a local database according to the job execution sequence information, wherein the local database has an index set in advance according to the job basic information; and sending the corresponding job data to a subscription mechanism producer according to a predetermined subscription mechanism so as to forward the job data to a corresponding subscription mechanism consumer. The query requirements of different job datacan be met, and the query efficiency can be improved through the indexes set based on the basic job information.

The invention discloses a cross-data-source SQL compiling device and method. The device mainly comprises a JSON generation module, an SQL compiling tool, a final query SQL generation module, an SQL submission module, a request cache implementation module and the like. According to the method, the query condition is packaged through the JSON, the condition is analyzed, the SQL is formed and submitted to the PRESTODB, and the real-time query function of multiple scenes (conditions) can be achieved.

The invention discloses a data query method and device based on pre-computation, and relates to the technical field of data processing, which improves the working efficiency of data query. The main technical scheme includes: when a query request is received, analyzing a query condition contained in the query request; judging whether a preset query condition matched with the query condition existsin a pre-calculation result table or not, wherein a plurality of preset query conditions and a query result corresponding to each preset query condition are stored in the pre-calculation result table;and if yes, extracting a first query result corresponding to a preset query condition matched with the query condition from the pre-calculation result table. The method is mainly used for optimizingthe data query method.