65results about How to "Implement query" patented technology

The invention discloses an active learning-based electric power knowledge graph construction method and system, and relates to the technical field of electric power market transaction data analysis, and the method comprises the steps: collecting data, cleaning the collected data, generating word prediction task data of an electric power transaction scene, and training an electric power field word embedding model; generating an entity relationship training sample, inputting a word embedding model, performing entity relationship label prediction through an entity relationship joint extraction model, extracting a high-quality sample based on active learning to perform part-of-speech tagging, and training the model based on a tagged sample; and applying the trained entity relationship joint extraction model to power transaction data to construct a knowledge graph, performing manual correction and entity unification, and storing the knowledge graph into a Neo4j database. According to the method, active learning and deep learning are combined, so that the sample labeling cost is effectively reduced, and meanwhile, the model performance is ensured.

The invention relates to a precast beam appearance quality intelligent detection method and system, and the method comprises the steps: building an improved YOLOv8 network, training a target detection model through a data set, and obtaining a precast beam appearance quality detection model; the method can effectively replace a traditional detection mode that appearance quality defects of precast beams are detected through manual observation, the problems that manual detection of the appearance defects is high in subjectivity, poor in accuracy, small in detection coverage rate and the like are solved, time and manpower are saved, timely dynamic monitoring can be carried out, and wrong detection, false detection and missing detection caused by fatigue of recorders and the like are avoided; precast beam images can be automatically collected for detection and analysis, storage, query and analysis of appearance quality defect detection data and automatic generation of an evaluation report are achieved, and control over the appearance quality of the precast beam in the later period of a project is facilitated.

The invention relates to a data encryption query method and device, equipment and a storage medium. The method comprises the following steps: analyzing an SQL request, and obtaining a column field and an information table corresponding to encrypted data carried in the SQL request based on the analyzed SQL request; performing SQL rewriting on the column field and the information table to obtain a rewritten SQL request; performing fragmentation operation on the rewritten SQL request to obtain a target fragment, and sending the fragmented SQL request to a plurality of storage nodes corresponding to the target fragment; obtaining service information stored in the corresponding storage node according to the rewritten SQL request, determining encrypted data in the service data based on the metadata table and the MySQL protocol packet, and decrypting the encrypted data to obtain decrypted data corresponding to the encrypted data; and packaging the decrypted data and the unencrypted data into response data and returning the response data. Compared with the prior art, the data encryption and decryption process is not perceived by a user, and the storage node corresponding to the target fragment can be quickly positioned, so that quick query of mass data is realized.

The invention discloses an information query method and device, electronic equipment and a readable storage medium. The method comprises the steps of obtaining a query word input by a target object; determining a plurality of target keywords corresponding to the query word; for each target keyword, determining a plurality of target word frequencies respectively corresponding to each target keyword, determining an inverse document frequency respectively corresponding to each target keyword, and determining a plurality of word distance factors respectively corresponding to each target keyword; according to a plurality of target word frequencies respectively corresponding to each target keyword, an inverse document frequency respectively corresponding to each target keyword and a plurality of word distance factors respectively corresponding to each target keyword, sub-query results respectively corresponding to the plurality of target keywords are determined; and determining a target query result corresponding to the query word according to the sub-query results corresponding to the plurality of target keywords. The technical problem that corresponding information is difficult to accurately query in related technologies is solved.

The invention discloses a data storage method for an electric energy meter and a hanging household meter of an electricity utilization information acquisition terminal. The method comprises the following steps: firstly, dividing an available storage space of equipment into N storage blocks, then setting a plurality of storage link variables in one-to-one correspondence with acquisition schemes in a storage area outside the available storage space, recording whether the corresponding storage blocks are allocated to the acquisition schemes or not, the storage link variables including N bits in one-to-one correspondence with the storage blocks. And according to the storage link variables of all the started acquisition schemes, determining the storage blocks which are not allocated for allocation, wherein the storage blocks allocated by the same acquisition scheme are regarded as a continuous storage space to be operated by the system. According to the method, a basis is laid for rapid storage and indexing of data by storing the storage blocks occupied by the link variable records and the link acquisition scheme, so that storage and query of the user meter data are realized under the condition that the system does not have a file management function.

The invention relates to the technical field of data processing, in particular to a data statistical method based on a large data volume, which comprises the following steps of: S1, defining a many-to-many first subject table and a second subject table of different data magnitudes in a relational database; s2, acquiring a mapping relation between the first main body table and a second main body table, traversing the second main body table, acquiring IDs of all records corresponding to each record in the second main body table in the first main body table, and splicing an ID list of nodes on a path by traversing a path from a node where the ID is located to a root node, after splicing is completed, an array is formed and stored in a field added to a corresponding record in the first main body table, and storage of the data mapping relation is completed; and S3, completing storage of a data mapping relationship between the first main body table and the second main body table for subsequent adjustment, statistics or query calling. According to the method, the data storage cost can be greatly reduced, the data maintenance cost can be reduced, and real-time statistics and query of a large amount of data can be realized.

The invention discloses a customer management system and method for a financial leasing industry, belongs to the technical field of financial information management, and aims to solve the technical problem of how to realize customer management standardization, sales process transparency, data analysis intelligence and terminal project omnibearing supervision of the financial leasing industry. According to the technical scheme, the system comprises a client information management module, a channel information acquisition module, a client visit module, a project management module, a report analysis module, an early warning connection module and an authority management module. The customer information management module is used for editing customer information data, searching and checking the customer information data and editing the customer information data at any time; the channel information acquisition module is used for editing channel information data, searching and checking the channel information data and modifying and updating the channel information data at any time; and the customer visiting module is used for selecting a customer or a channel to be visited, editing visiting record data, checking corresponding visiting customer data information and generating a visiting weekly report, a visiting monthly report and a visiting annual report.

The invention discloses a data perspective table data expansion method and device, and the method comprises the steps: connecting the value of a row field and the value of a column field of each record in a data source, constructing a unique path character string, and storing the unique path character string in a hash table; when aggregation information of the target path character string needs to be queried, traversing the hash table to judge whether the target path character string exists or not so as to query or update the hash table; splitting the path character string into row fields and column fields, and creating or searching corresponding nodes in the rendering tree according to the values of the fields to complete the construction of the rendering tree; traversing the whole rendering tree, and determining the specific position of each node in the two-dimensional array according to the path character string of the rendering tree; and filling the aggregation information of each node into a position corresponding to the two-dimensional array to complete the two-dimensional expansion process of the data perspective table. The problem that the user experience and the service efficiency are affected due to the fact that a traditional scheme cannot complete the expansion task of the data perspective table in time is solved.

The invention provides a disaster recovery backup method and device for container application data, a medium and equipment, and the method comprises the steps: verifying a first custom resource when capturing that the first custom resource is newly added in a distributed key value storage system; after the verification is passed, determining a backup mode corresponding to the first user-defined resource; wherein the backup mode comprises a full-amount backup mode, an on-demand backup mode and a timing backup mode; determining a backup opportunity and a backup object according to the backup mode; wherein the backup object is a K8s cluster resource which needs to be backed up; and executing the first custom resource according to the backup opportunity and the backup object so as to query the backup object from the K8s interface server when the backup opportunity arrives, and backing up the queried backup object to a cloud object storage system. The embodiment of the invention is more flexible, and is favorable for adapting to deployment scenes such as flexibility and pooling after containerization.

The embodiment of the invention discloses a business question and answer processing method, system and device and a storage medium. According to the technical scheme provided by the embodiment of the invention, the target problem vector value of the target service problem is determined by receiving the target service problem, the pre-constructed question and answer database and the function knowledge base are searched based on the target problem vector value, and the question and answer database configures reply data corresponding to different problem vectors in advance; the function knowledge base configures business functions corresponding to different problem vectors in advance; determining first reply data matched with the target question vector value from a question and answer database, and / or determining target function information matched with the target question vector value from a function knowledge base, executing a specified service based on the target function information, and determining second reply data; and replying the service problem based on the first reply data and / or the second reply data. By adopting the technical means, the service processing function of the intelligent dialogue assistant can be expanded, the service processing effect is improved, and the service question and answer experience of the user is improved.

The present invention discloses a privacy-protected group skyline query method, which formulates a basic algorithm for group skyline query in a cloud environment; establishes a specific method for group skyline query in a cloud environment; thereby obtaining the privacy-protected group skyline query result required by the customer. While protecting privacy, group skyline query is implemented. Applying the query method, group skyline query calculation can be implemented in an outsourcing scenario, while ensuring data privacy, and no relevant information is leaked during query privacy and calculation processes; group skyline query is efficiently implemented on encrypted data objects, so that data objects in outsourcing scenarios can be effectively utilized; and at the same time, under the premise of ensuring data privacy security, the group skyline query result that meets user requirements is returned in actual applications.

The application provides a semantic analysis method, comprising: obtaining a statement to be analyzed; performing named entity recognition on the statement to be analyzed, and taking the recognized named entity as a segment to be analyzed; performing semantic dependency analysis on the statement to be analyzed by using a dependency analysis model, determining a dependency relationship between any segment to be analyzed and a target segment to be analyzed corresponding to the any segment to be analyzed, and determining a dependency relationship label of the dependency relationship, so as to realize semantic analysis on the statement to be analyzed, wherein the dependency analysis model is obtained based on semantic dependency analysis on training data, and the training data is labeled in advance according to the dependency relationship label. In this way, the dependency relationship of the segment to be analyzed in the statement to be analyzed can be analyzed based on the preset dependency relationship label, and the dependency relationship label can be designed for a complex question, so that the complex question can be queried in a graph.

The invention discloses a CMF protocol stack automatic test method and system based on an online database, and the method comprises the steps: enabling a CMF protocol stack to transmit a parameter request primitive to airborne equipment when the CMF protocol stack carries out the parameter configuration of the airborne equipment; the airborne equipment refers to mechanism end system equipment or mechanism end system application; the airborne equipment receives the parameter request primitive and generates a parameter confirmation primitive, and the parameter request primitive and the parameter confirmation primitive are sequentially stored in an online structured dictionary; and the airborne equipment returns the parameter confirmation primitive to the CMF protocol stack, and verifies the correctness of the parameter request primitive sent by the CMF protocol stack and whether the parameter request primitive is retransmitted. According to the CMF protocol stack testing method and device, the CMF protocol stack interaction process and the interaction message can be controlled, analyzed and inquired, result judgment is automatically carried out, and automatic testing of the CMF protocol stack is achieved.

The present application provides a method and system for accessing a target server, wherein the access to the target server is achieved by developing a server to call a framework including a request processor and a response processor, wherein the code with common logic constructs a request entity by developing a server and uses the request processor to parse the request entity to obtain an expression, and adopts a functional programming method to encapsulate the code with common logic into a common method, and the operation and maintenance personnel or users can implement the programming of business logic by calling with different parameters, and, when the target server is a Prometheus server, based on this method, the query and operation of Prometheus monitoring data can be realized without maintaining the underlying PromQL, and the problems of confusing logic and poor readability of the underlying PromQL code caused by different technologies and logical methods of the operation and maintenance personnel or users are avoided.

The present invention discloses a data management method and system based on a knowledge graph, including: obtaining historical record data of various fields and standardizing it to obtain standardized data corresponding to each field; constructing a knowledge graph of the corresponding field based on the standardized data corresponding to each field to obtain a standard knowledge graph library; obtaining data to be processed and determining the field information of the data to be processed; querying the standard knowledge graph library based on the field information of the data to be processed to determine a target knowledge graph of the field corresponding to the data to be processed; managing the data to be processed based on the target knowledge graph; constructing knowledge graphs for different fields, and determining the target knowledge graph based on the field of the data to be processed, so as to more accurately classify and manage the data to be processed and improve the efficiency and accuracy of data management.

The embodiment of the invention discloses a slow log collection method and device, equipment and a storage medium, and relates to the technical field of databases, the method comprises the following steps: determining a current analysis state of each process in a distributed document storage database, and starting an analysis function of the process of which the current analysis state is started; collecting a slow log of each process of which the analysis function is started, and storing the slow log of each process based on a log file; and determining a target slow log in the log file according to the received query request. According to the technical scheme, the analysis function of the process of which the current analysis state is started is started, the slow log of the process of which the analysis function is started is collected when the distributed document storage database runs, the collected slow log is stored in the log file, after the query request is received, the target slow log is determined in the log file according to the query request, and the target slow log is sent to the distributed document storage database. And on the premise of reducing the influence on the performance of the distributed document storage database, the collection and query of the slow log are realized.

The invention relates to the technical field of knowledge maps, in particular to a ship design reference data intelligent recommendation method and system based on a knowledge map, and the method comprises the steps: constructing a multi-dimensional ship knowledge map; analyzing the received design task to obtain a design basic parameter and a target performance index, constructing a task related sub-graph, extracting a task constraint condition, and generating a target index semantic vector; carrying out graph structure representation learning on the task related sub-graphs by utilizing a graph neural network coding model, and carrying out feature fusion on the task related sub-graphs and target index semantic vectors to generate comprehensive design reference vectors; and based on the comprehensive design reference vector and the task constraint condition, matching historical cases in the knowledge graph to obtain a design reference recommendation result. According to the method, by constructing the multi-dimensional ship knowledge graph, design basic parameters, performance indexes and constraint conditions are systematically managed; historical design cases can be intelligently matched, high-correlation design reference results are provided, and design efficiency and accuracy are improved.

The invention discloses an insulation resistance tester verification system for interconnection sharing, and relates to the technical field of testing. The system comprises an on-site terminal, a cloud end and a shared terminal, the on-site terminal and the shared terminal are connected with the cloud end and upload data of the on-site terminal and the shared terminal to the cloud end, and the on-site terminal is used for realizing remote operation sent from the shared terminal and verifying an insulation resistance tester by using a PLC controller and an intelligent gateway; the cloud is used for storing the collected data information based on a pre-deployed server and realizing storage and query of historical data; and the sharing terminal is used for inputting the operation data of the user based on the upper computer, realizing remote verification control of the insulation resistance tester and generating a verification report. According to the invention, the Internet of Things technology is used, and verification work co-construction and verification data sharing are realized.

The present application relates to a mainboard fault query device, system and air conditioning unit. When mainboard fault detection is required, the fault detection device is placed close to the mainboard so that the distance between the detection coupling coil and the mainboard coupling coil of the mainboard is less than or equal to the preset distance. After the detection controller sends the detection data to the detection memory, the detection coupling coil connected to the detection memory can generate an alternating current, thereby causing the mainboard coupling coil to oscillate. When the mainboard coupling coil oscillates, a reverse charging current can be formed to charge the corresponding device on the mainboard, thereby sending the mainboard fault data stored in the mainboard in the form of current. Under the action of the current corresponding to the mainboard fault data, the mainboard coupling coil oscillates with the detection coupling coil, thereby transmitting the mainboard fault data to the detection coupling coil, and then transmitting it to the detection memory in the form of current, thereby realizing the query operation of the mainboard fault data, which has the advantage of high operational convenience.

The utility model discloses a low power circuit integration junction box, including casing, modular interface array, embedded control module and safety protection module, wherein, the modular interface array contains at least three kinds of specifications test terminal, and each test terminal is connected with the measured circuit board through the elastic contact, embedded control module contains microprocessor, programmable signal generator and AD conversion unit. In addition, the low power circuit integration junction box still includes power module and wireless communication module. The utility model provides junction box through using S3C2451 embedded control processor to realize the automatic measurement and judgement of low power point fast, and can save the various measurement parameters of detected through programmable signal generator and AD conversion unit, then through wireless communication module carries out data transmission, and the convenient implementation detection result inquiry and transmission have improved the detection efficiency, and the detection result also has higher measurement accuracy and good repeatability.

The present application provides a credit file processing method, device, equipment, system, medium and program product, the method comprising: a mobile credit client sends credit file data for a target credit business to a mobile credit server; the mobile credit server obtains a non-editable first credit file based on the credit file data; the mobile credit server uploads the first credit file to a file management system, and receives a first credit file identifier generated for the first credit file from the file management system; the mobile credit server sends the first credit file identifier to the mobile credit client; the mobile credit client stores a first correspondence between the first credit file identifier and the identifier of the target credit business in the credit file management system, and the first correspondence is used for the credit file management client of the credit file management system to query the first credit file from the file management system. The method of the present application can improve the efficiency of credit file data storage.

The embodiments of this specification provide a method and device for reporting and querying health data, which is executed through a mobile terminal, including: monitoring a first signal using a short-range communication protocol in the environment; after monitoring the first signal and determining that the first signal has a target service signal identifier, sending a locally pre-stored health query identifier to a query device that sends the first signal through a short-range communication protocol, so that the query device obtains the health data of the user of the mobile terminal from a server based on the health query identifier, wherein the health query identifier is generated based on the terminal information of the mobile terminal and the user information of its user.

The invention relates to a cloud communication method and device, computer equipment, a computer readable storage medium and a computer program product, which are applied to the technical field of cloud computing and applied to a cloud communication system, and the cloud communication system comprises an Eip gateway network element, an external network switch and an SDN controller. The method comprises the following steps: if an Eip gateway network element detects a cloud host data packet bound with a cloud host, extracting an IP address in the cloud host data packet through the Eip gateway network element to obtain a data packet IP address; according to the data packet IP address, routing information query is carried out in a routing IP address set of the Eip gateway network element to obtain a target IP address, and the routing IP address set is obtained through configuration of the SDN controller; according to the target IP address, performing address query in a static address set of the Eip gateway network element to obtain a target MAC address, the static address set being configured by the SDN controller; and configuring the target MAC address at an extranet port of the extranet switch through the SDN controller. By adopting the method, the access of the cloud host to the external network can be realized.

The invention is suitable for the technical field of container mirroring, and provides a mirroring management device, a computing device, a network device and a mirroring management system. The mirror image management equipment is configured with a mirror image management function; the mirror image management function comprises: managing a mirror image file of the first computing device, and managing a mirror image file of the second computing device based on the first network device and the second network device; wherein the first computing device, the first network device and the mirror image management device are located in the same network domain, the second computing device and the mirror image management device are located in different network domains, and the second computing device and the second network device are located in the same network domain. According to the invention, the management capability and efficiency of the mirror image file can be improved.

The embodiment of the invention discloses a data storage method. The method comprises the steps of obtaining track data; preprocessing the trajectory data to obtain a vehicle identifier, latitude and longitude information and time information; performing GeoHash coding on the longitude and latitude information and the time information to obtain a space-time GeoHash code; and the vehicle identifier and the space-time GeoHash code are correspondingly stored in an NoSQL database. According to the method, the space-time data is subjected to GeoHash coding and stored, so that the storage difficulty is reduced.

The embodiment of the application relates to the technical field of data query, and discloses a data query method, device and computer readable storage medium, the method comprises the following steps: analyzing at least two received query instructions to obtain corresponding to-be-queried data of each query instruction; distinguishing a data overlapping part and a data independent part of the to-be-queried data between each query instruction; in the process of executing each query instruction, a reuse data set is determined based on the data overlapping part from a preset database, and an independent data set of each query instruction is determined based on the data independent part, and data in the reuse data set is used by the query instructions existing in the data overlapping part; and target data corresponding to each query instruction is obtained based on the reuse data set and the independent data set. The technical scheme of the application can improve the efficiency of data query.

The invention discloses an ASON biplane networking equivalent diagram dynamic modeling intelligent method and system based on geographic information fusion, and relates to the technical field of electric power communication, and the method comprises the steps: obtaining an optical cable geographic path graph layer and a plant station node information graph layer of a first plane and a second plane in ASON biplane networking; based on the optical cable geographic path layer and the plant station node information layer, fusing the two planes by adopting a layer merging algorithm based on a graph neural network to form a unified equivalent graph; based on the unified equivalent diagram, establishing a bidirectional mapping model between an ASON logic optical path taking a plant station node as a starting and ending point and a physical path in the unified equivalent diagram; and according to a graph neural network-based layer merging algorithm and a bidirectional mapping model, in response to a network topology change or a fault event, triggering local re-fusion updating of the unified equivalent graph. According to the biplane equivalent graph construction, accurate fusion of biplane physical resources is realized.

The utility model discloses a bridge vibration monitoring system based on an IMU, and belongs to the technical field of bridge vibration monitoring. Comprising a single-chip microcomputer, an IMU sensor, a 4G module, a battery interface module, a LoRa communication module, a sensor switch control circuit connected with the IMU sensor, a 4G module switch control circuit connected with the 4G module, a battery connected with the battery interface module, and a solar photovoltaic battery charging module connected with the battery, wherein the IMU sensor, the 4G module, the battery interface module and the LoRa communication module are connected with the single-chip microcomputer. The camera module is in wireless connection with the LoRa communication module, the server is in wireless connection with the 4G module, and the battery interface module is connected with the sensor switch control circuit and the 4G module switch control circuit. According to the utility model, data can be rapidly and accurately detected and processed, traffic flow and road conditions can be detected at the same time, the data can be transmitted to the server for storage, and the query of bridge vibration states at characteristic time and the query of traffic flow and road conditions at corresponding time can be realized.

The invention relates to a service distribution method and device, electronic equipment and a storage medium. The service distribution method comprises: determining a content query condition, the content query condition being determined based on a query dimension, the query dimension comprising a plurality of attribute fields, the attribute fields being consistent with attribute fields included in a service content storage format; in stored service content, service content consistent with attribute fields under the dimension corresponding to the content query condition is queried, and the stored service content comprises service content stored in a unified storage format according to the attribute fields; and distributing the queried service content. According to the business content query method and device, the stored business content in the unified storage format is searched and distributed by using the content query condition, so that the business content storage and query complexity is reduced, and the business content search and distribution efficiency is improved.

The invention discloses a metering data traceability system and method based on a block chain technology, and the system comprises a metering management service end, a metering management service end server database, a block chain and a metering data traceability client, carrying out legality judgment, encryption, uplink and storage on the full life cycle data of the metering process; the metering management service end server database stores the data uploaded by the metering management service end, a unique ID address is generated for each metering instrument according to the inspection number, and the ID addresses are chained and stored in the block chain; the block chain adopts a decentralized distributed block chain database to store uplink data in a classified manner; the metering data traceability client authorizes the user to perform traceability query on the metering data through the identity verification and access control mechanism of the block chain, has the characteristics of decentralization, tamper-proofing, transparency and traceability, and enhances the credibility of the metering data and the traceability convenience.