34results about How to "Break down data barriers" patented technology

The embodiment of the application provides a police information processing method and system based on big data. Police information collected from multiple channels is acquired by a service end, a police information resource library is generated, and atomic services satisfying different service needs are created according to the police information resource library; then a police service resource platform connected with all police terminals is established according to the created atomic services, and service interfaces of all the atomic services are provided through the police service resource platform; and when a police terminal creates a service scene, service interfaces are applied for from the police service resource platform for acquiring all atomic services required for the service scene. Therefore, all service units are enabled to quickly form new combinations of the atomic services according to replacement of service scenes; and all service systems can also provide collected dataresources to the service end through the police service resource platform, data sharing among all the service systems is realized, data barriers among all the service systems are broken, and police information is enabled to play a bigger role.

The invention belongs to the field of academic pre-publication and copyright protection, and relates to a manuscript protection method based on a block chain. The method comprises the following steps:establishing a data sharing network, establishing a multi-center synchronization server, receiving the data submitted from the outside, comparing the data, determining the right protection of the data, and managing the copyright. The invention aims at the characteristics of the shared account book of the block chain, and encryption tamper-proof features, this paper designs an application method of block chain technology in academic periodical publishing industry, we will give full play to the technical advantages of block chains, to break down the data barriers in the academic publishing industry, It realizes the reliable data sharing with block chain technology, and enables the sponsors of academic journals or conferences to share and detect the unpublished manuscripts, even if the two manuscripts are not published, the similarity can be detected in the system, so as to achieve the protection of manuscripts and the strike of academic misconduct.

The invention provides a cloud chain number integrated system structure which comprises a trust network basic platform subsystem serving as a core basic subsystem, realizing seamless integration witha cloud environment, rapid deployment, box opening for immediate use and flexible operation and maintenance and monitoring management, providing a complete solution of an alliance chain and an intelligent contract, and supporting stable operation of an upper layer service; a core data platform subsystem is used for uploading and managing the core service data, realizing credible storage of the data and interconnection and intercommunication of multi-party data, thereby improving the credibility of tracing the data and ensuring smooth flow of data island implementation information; and the business platform subsystem is used for providing application-level support and industry-level solutions for the vertical industry, and meanwhile, the system adopts micro-service and modular design to realize low coupling of basic business and reconstitution of the solutions. The architecture has the backup disaster recovery capability of multiple databases, credible storage of data is completed, andthe storage capability of larger capacity is achieved.

The invention discloses an air traffic control data supply chain system and a data management method, and belongs to the technical field of air traffic control data processing. The invention providesan air traffic control data supply chain system in order to solve the problems that in the prior art, air traffic control data do not have a complete data supply chain system, so that data barriers between systems are serious, a perfect data management system does not exist, and data management is disordered. Chain nodes of the data supply chain comprise data production, data acquisition, data storage, data management and data application. During data processing, the air traffic control data supply chain system is constructed firstly, a processing platform is established in a data processing module of an air traffic control data supply chain, and data processing is implemented; and a data interaction publishing platform is built, and the data supply chain control and service capability isimproved. According to the invention, in air traffic control data management, a data supply chain is established to open a data circulation pipeline, assetization and servitization of data are completed in the data circulation process, and the data value is improved.

The embodiment of the invention provides a client program data acquisition method and a system. The method comprises the following steps of: executing a target function of a client program, and recording and obtaining function calling information in the execution process; the target function is a function related to the data obtaining of the client program; Screening each function in the functioncall information, obtaining the objective function related to the obtained data, and defining the function call logic of the objective function; According to the function call logic, each objective function is called in turn by reflection call, and the return value of the objective function is obtained. The embodiment of the invention starts from the angle of the function execution when the clientprogram functions are called, By defining the logic of function call and using the method of reflection call to re-execute the process of the objective function, the return value of the objective function can be obtained to realize the data collection, and the data collection of the client program can be realized without collecting in the client interface, which improves the collection efficiency.

The invention relates to a three-dimensional calculation and pricing method for a transformer substation based on Revit, and belongs to the technical field of power transformation engineering design and manufacturing cost. According to the method, by analyzing the content of a self-built family and the content of a system family in a rvt project, cost information model data reading is completed, and automatic model creation including component mapping, attribute acquisition, model coloring, floor division and other data is achieved. Cost information data reading is completed through a specificanalysis rule, conversion from rvt engineering data to cost calculation amount business data is achieved, links of engineering amount calculation, quota extraction, project division mounting, cost generation and the like are supported, and electric power engineering cost result output is completed.

The invention discloses a vehicle scheduling management platform and method based on parallel Internet of Vehicles, and the platform comprises a user terminal, a communication system, and a cloud management platform. the user terminal and the communication system employ a DSRC technology or an LTE- V technology; the cloud management platform comprises a manual cargo transport vehicle scheduling system, ,an actual freight vehicle scheduling system, a calculation experiment module and a parallel execution module; the calculation experiment module comprises an experiment design unit, an experiment execution unit and an experiment evaluation unit; and the parallel execution module comprises a learning and training unit, an experiment and evaluation unit and a management and control unit. According to the vehicle scheduling management platform and method based on the parallel Internet of Vehicles disclosed by the invention, the transportation management accuracy can be realized, the transportation management visualization is realized, and the economic benefit is improved.

The invention discloses an intelligent riverway management and control system, which belongs to the technical field of intelligent riverway pipelines, and is characterized by comprising an infrastructure layer, a data layer, a service layer and an application layer, wherein the infrastructure layer comprises a development environment system, a database management system, an operating system, a network environment and hardware equipment; the infrastructure layer provides a server, a switch, a terminal, safe and stored software and hardware, a place and a network communication environment for the data layer, the service layer and the application layer, wherein the data layer is a service basic database and is used for storing basic data, and the data layer provides IoT data support for different application systems; the service layer comprises an equipment monitoring perception service, an equipment connection management service, a model and monitoring data exchange service and an authority control service; the application layer comprises an intranet portal website and an extranet portal website; and the infrastructure layer, the data layer, the service layer and the application layer perform data interaction in sequence through a data exchange system.

The invention relates to the field of artificial intelligence, and discloses a face image resolution reconstruction method, device and equipment and a storage medium. The face image resolution reconstruction method comprises the steps: acquiring joint face data containing multiple different sources, wherein the joint face data comprises first face images with different resolutions and corresponding identity IDs; according to the identity ID, performing data alignment on the first face images from different sources to obtain multiple groups of first face images to be reconstructed; performing dynamic range compression on each group of first face images by adopting a preset homomorphic filter to obtain a plurality of groups of second face images; and inputting each group of second face images into a preset resolution reconstruction model to perform feature extraction and deconvolution sampling, and outputting a super-resolution face image corresponding to each identity ID. According to the invention, multi-source face image data can be obtained and high-efficiency and high-timeliness image super-resolution reconstruction can be carried out.

The embodiment of the description provides a data processing method and device and electronic equipment. Multiple pieces of data which are of the same service and flow from different channels are acquired; the data which flow from the different channels are translated into standardized data; the standardized data after translation are associated with the corresponding channels; and the standardized data associated with the channels are stored.

The invention belongs to the field of data identification, particularly relates to a distributed language relationship identification method, system and device based on federated learning, and aims tosolve the problem that a plurality of participants are difficult to perform joint modeling on the basis of not sharing data. The method comprises the steps that each local platform obtains to-be-recognized data and local training data with labels, a local classifier model is trained according to the local training data, the trained classifier models are integrated into a global classifier model,the local classifier model is initialized through the global classifier model, and to-be-identified data is identified by using the initialized local classification model to obtain a language relationship prediction result. According to the method, the local platform is combined with other platforms to perform data use and machine learning modeling on the basis of not sharing data, so that the training collaboration of the natural language recognition model is improved, the problem of data islands is solved, and the total amount and requirements of training data required for training the modelby each platform are reduced.

The invention discloses a casting unit-oriented information management system and method. The casting unit-oriented information management system comprises a data acquisition and monitoring module, adata storage module and a service application module. The data acquisition and monitoring module acquires data in casting equipment PLC in an OPC mode; code scanning information of code scanning equipment and field data input of terminal equipment are obtained by utilizing an API; molten aluminum component analysis data and X-ray detection analysis data in the casting process are collected throughan FTP file system; the data storage module comprises a real-time database and a relational database; the real-time database is responsible for storing the real-time data acquired by the data acquisition and monitoring module; the relational database is used for receiving and storing historical data sent by the real-time database, wherein the historical data is data before the real-time data acquired by the data acquisition and monitoring module; and the service application module is used for carrying out statistical analysis on the data of the data storage module to realize a casting informatization management function.

The invention discloses a flight life process data association method based on flight identification numbers, which can create operation domain flight identification numbers and marketing flight identification numbers for newly added flights in a flight center according to real-time adjustment of flights by a flight planning system and respectively send the operation domain flight identification numbers and the marketing flight identification numbers to an operation domain business department and a marketing domain business department of an airline company. Flight information updating is carried out on existing flights, and failure marking is carried out on cancelled flights; each operation domain business department and each marketing domain business department respectively take the operation domain flight identification number and the marketing domain flight identification number as the unique identification of the corresponding flight to synchronize the operation domain business data and the marketing domain business data to the flight center database; enabling an operation domain business department and a marketing domain business department to respectively query any operation domain business data or marketing domain business data of the corresponding flight from a flight center database through the operation domain flight identification number and the marketing domain flight identification number; therefore, real-time intercommunication and interconnection of flight data are realized.

The invention provides a recommendation model construction method and device, and belongs to the technical field of computers. The method comprises the following steps: 1, preparing raw materials; receiving first sample data sets sent by a plurality of second servers respectively, decrypting the first sample data set according to a preset decryption algorithm, and obtaining a plurality of second sample data sets, obtaining a plurality of sample data of at least one same user in the plurality of second sample data sets according to a preset rule, combining the plurality of sample data of each same user to obtain a target sample data set, and constructing a recommendation model according to the target sample data set. Third-party server, the sample data of each enterprise is encrypted and then sent to a third party for processing; the third party constructs a recommendation model through the target sample data set, data sharing of all enterprises is achieved through the third party server, data barriers among the enterprises are broken through, a more accurate recommendation model can be obtained, and the recommendation accuracy is improved.

The invention discloses an Internet of Things system and service method based on joint learning, and the system comprises an Internet of Things infrastructure, a cloud service platform, and a business application platform, the Internet of Things infrastructure is used for providing an infrastructure based on joint learning, training a target algorithm model based on a joint learning algorithm, and obtaining a target algorithm model; and processing the business demand acquired by the business application platform by using the trained target algorithm model, the cloud service platform is used for providing a basic general algorithm model based on joint learning, and selecting the basic general algorithm model according to the business requirements acquired by the business application platform; and the business application platform is used for acquiring a user business demand, receiving a processing result sent by the cloud service platform and feeding back the processing result to the user. Through joint learning and artificial intelligence, on the premise of ensuring data security, an AI technology ecology based on joint learning is created, so that data barriers of all parties are broken through, and industry ecology is broken through.

The invention provides a block chain-based carbon popularity incentive method and system. The method comprises the steps of establishing a bottom alliance chain; the block chain evidence storage module performs on-chain storage on the public low-carbon behavior data; the carbon emission reduction verification module determines a verification node for carbon emission reduction amount accounting through a nominating right and interest consensus mechanism; the carbon emission reduction module authorizes the determined verification node for carbon emission reduction accounting to call the block chain evidence storage module to obtain original public low-carbon behavior data, and the corresponding carbon emission reduction is obtained through calculation; the carbon asset management module calculates carbon assets based on the carbon emission reduction amount; a certain amount of carbon points are obtained according to the carbon assets, and the carbon points are sent to a carbon popularity user node account according to the contribution degree; carbon points in user node accounts are used for exchanging corresponding products or services; through a block random distribution mechanism based on a VRF function, verification nodes are randomly specified to collect carbon emission reduction, carbon assets and carbon points, summarized information is generated into a new block according to a block data format, and uplink evidence storage is carried out.

The invention discloses a public opinion synthesis application system which comprises a public opinion synthesis subsystem, a special research and judgment subsystem, a three-in-one subsystem, an intelligent report subsystem and a public opinion real-time dynamic subsystem. The public opinion synthesis subsystem shows appeal conditions of people in different regions for social security satisfaction and public security team satisfaction. The special research and judgment subsystem performs special analysis on the service satisfaction of various service masses; the three-in-one subsystem carriesout comprehensive analysis on the gathered civil meaning data, business data and team data to form an efficiency analysis file of each unit and a law enforcement service file of civil police. The intelligent report subsystem builds a model in advance, and generates a service analysis report and / or a comprehensive analysis report by checking a custom template; and the civil real-time dynamic subsystem displays the convergence quantity of various trends in real time and displays the convergence state of the civil appeals in a map form. The public security public opinion system of the inventioncan perform multidimensional analysis on the public opinions, accurately position the public opinion problem and perform real-time early warning on sensitive data.

The invention relates to the field of artificial intelligence, and discloses a face image resolution reconstruction method, device, equipment and storage medium. The method for reconstructing the resolution of a human face image includes: obtaining joint face data comprising a variety of different sources, wherein the joint face data includes first human face images with different resolutions and corresponding IDs; according to the According to the identity ID, data alignment is performed on the first face images from different sources to obtain multiple sets of first face images to be reconstructed; the dynamic range of each set of first face images is respectively determined by using a preset homomorphic filter. Compress to obtain a plurality of sets of second face images; input each set of second face images into a preset resolution reconstruction model for feature extraction and deconvolution sampling, and output super-resolution faces corresponding to each identity ID image. The present invention can acquire face image data from multiple sources and perform image super-resolution reconstruction with high efficiency and high timeliness.

The present invention relates to a method and system for data sharing and confidential query based on block chain technology, the method comprising: building a block chain data platform; a data demander issuing a data demand contract; a data provider issuing a data release contract, data generalization Contract and certificate management contract, the data generalization contract includes the data number generalization list of the data to be shared, the certificate management contract includes the public key certificate list required in OT query; the data demander synchronizes the data number generalization list and the public key certificate list ;The data demander applies for authorization based on the data publishing contract. After authorization, the query target is generalized based on the data number generalization list and the public key certificate list and initiates an OT query; the data provider receives the OT query and returns data; the data demander receives the returned data and decrypt it. Compared with the prior art, the present invention guarantees the privacy of both the data supplier and the demander, solves the trust and security issues of all parties, and realizes the safe circulation and sharing of data among various entities.

The invention belongs to the field of academic pre-publication and copyright protection, and relates to a manuscript protection method based on a block chain. The method comprises the following steps:establishing a data sharing network, establishing a multi-center synchronization server, receiving the data submitted from the outside, comparing the data, determining the right protection of the data, and managing the copyright. The invention aims at the characteristics of the shared account book of the block chain, and encryption tamper-proof features, this paper designs an application method of block chain technology in academic periodical publishing industry, we will give full play to the technical advantages of block chains, to break down the data barriers in the academic publishing industry, It realizes the reliable data sharing with block chain technology, and enables the sponsors of academic journals or conferences to share and detect the unpublished manuscripts, even if the two manuscripts are not published, the similarity can be detected in the system, so as to achieve the protection of manuscripts and the strike of academic misconduct.

The invention provides a data integration method and a system. The method is applied to a data integration server, and comprises the steps: obtaining at least one piece of user information stored in a plurality of regional servers, and analyzing a unique tag carried by each piece of user information in the at least one piece of user information; judging whether each piece of user information is stored by the data integration server or not according to the unique label; when the currently processed user information is not stored, storing the currently processed user information; generating a user portrait according to the stored user information; and creating and storing a corresponding relationship between the allowable calling permission of the user portrait and each region server in the plurality of region servers. According to the invention, the user information in the plurality of regional servers is obtained through the data integration server and is uniquely stored, so that the purpose of data integration is achieved.

The invention discloses a grid management display method for a power repair service based on internal and external networks, and the method comprises the steps of obtaining the real-time data of a repair work order of the power repair service through an external network mobile operation terminal, and uploading the real-time data of the repair work order to an internal network power distribution repair system; determining work order detail data and work order track data according to the first-aid repair work order real-time data, and associating the work order detail data and the work order track data with the teammate first-aid repair team information to serve as associated data to be stored in an RDS database; acquiring associated data from the RDS database, and analyzing the associated data to form an analysis result; and according to an analysis result, carrying out gridding display on the power line repair service. The method has the advantages that the first-aid repair service condition is counted and displayed through a gridding method, and the first-aid repair efficiency is improved; based on the design of a power data platform, breaking barriers among business systems such as marketing, equipment and scheduling; breaking internal and external network data barriers, and fully releasing data values.

The invention discloses a hospital logistics management system for distributing work orders based on alarm information, and relates to the technical field of hospital logistics information management. The present invention connects the existing various business systems and hardware of the hospital into the system of the present invention through the unified access module for unified management, and collects the alarm information of each business system and each hardware through the data acquisition module, and through the alarm processing module and the work The collaborative work of the single processing module associates and manages all the alarms in the hospital and the work orders that need to be dispatched for processing. By introducing the TF-IDF algorithm, various alarm descriptions are formatted and mapped with the preset model, and the Apriori algorithm is used to identify various factors when an alarm occurs and the relationship between the business type that needs to be dispatched and the processing strategy characteristics, forming an optimal solution for dispatching single tasks. The invention can solve the problem of difficult management and high cost caused by fragmentation of various logistics services of the hospital.

The invention provides a cloud-based cross-medical conjoined MDT consultation system, belongs to the field of medical treatment, is used for solving the problem that cross-medical conjoined consultation cannot be realized among traditional Chinese medicine conjoined bodies in the prior art, and is beneficial to advantage complementation and reasonable resource utilization of current medical technologies. The consultation system comprises an incidence relation setting module, a cross-medical conjoined consultation application initiating module, a medical record data pushing module, a first auditing module, a consultation data sending module, a consultation module, a consultation diagnosis and treatment scheme sending module, a second auditing module and a final diagnosis and treatment scheme sending module. Based on the consultation system, the problem that cross-medical conjoined consultation cannot be carried out between two medical conjoined bodies is solved.

The invention discloses a method and a system for collection, storage, analysis and application of railway maintenance section equipment data. According to the scheme, data of railway maintenance sections scattered in all regions is gathered and stored, and the data is analyzed and applied. Since open-source components frequently used in big data and part of big data analysis mining algorithms areused, gathering and storage of the railway maintenance section equipment data can be realized, and the data can also be analyzed and mined, so that useful information is obtained, and the available value of the data is increased. The problems of data barriers, data islands, data loss and data waste in the current railway maintenance industry are solved.

The invention discloses a data sharing incentive model based on an evolutionary game theory, and the model comprises a two-tuple form M = (P, K), and P represents a population composed of a large number of users of a data sharing community; k is a strategy space K = {K1, K2}, the user has two strategies, one is that K1 participates in data sharing, that is, in a data sharing community, self data is actively contributed, and data of other sharing users can be obtained; the other method is to select a non-parameter sharing strategy K2, so that data cannot be shared, and shared data cannot be acquired from a community; the method for establishing the model comprises the following steps of: 1, designing mathematical model parameters; 2, deriving a plurality of evolutionary game stabilization strategies by applying a replicated dynamic mechanical equation of an evolutionary game theory; and step 3, performing stability analysis on the plurality of evolutionary game stability strategies, deducing an excitation condition use method of the data sharing excitation model, and obtaining an optimized data sharing excitation model based on the evolutionary game theory.

The invention provides a medical case knowledge graph construction method and device. The method comprises the following steps: establishing a medical knowledge base and an environmental geography knowledge base; establishing a medical case knowledge graph model according to the type information in the medical knowledge base and the geographical environment knowledge base; establishing a medical record data set according to the basic information of the patient, the treatment process information, the treatment result information and the attending doctor information; and generating a medical case knowledge graph according to the medical case knowledge graph model and the medical case data set. According to the method, the knowledge base is established to generate the medical case knowledge graph, data unification is achieved, data barriers can be effectively broken, and data retrieval efficiency is improved.

The embodiment of the present application belongs to the field of artificial intelligence technology and is applied in the field of smart urban management. It relates to a road warning method based on federated learning and related equipment. The reverse neural network model and the target recursive neural network model are trained, and the trained model parameters are transmitted to the central server, so that the data can be comprehensively trained with data from other servers without leaving the local area. The dispatching client judges the geographical distance between the vehicle early warning signal and the first road risk early warning signal. When the distance is less than the range threshold, it sends a road regulation notice to the designated person to help the traffic department allocate traffic resources reasonably, reduce the occurrence of road accidents, and improve transportation capacity. The target reverse neural network model and the target recurrent neural network model can be stored in the blockchain. This application breaks data barriers and reduces road accidents.

The invention provides a mine multi-system joint early warning method, system and device and a storage medium thereof, and the method comprises the steps: carrying out the collection, format conversion, convergence, storage, analysis and output of data of different subsystems of a mine, and building a big data center with a unified data format, a unified data management platform and a unified data output interface. Data intercommunication among different subsystems is realized, modeling is carried out on each subsystem on the basis, early warning information of different subsystems can be obtained at the same time and is uniformly output through a mine early warning platform, the hysteresis problem of the early warning information is solved, mine operation management personnel can find production problems in time, and the production efficiency is improved. And the mine production condition is adjusted.