960 results about "Data cloud" patented technology

The invention provides a cloud computation based remote service system for medical internet of things. The cloud computation based remote service system comprises a remote medical module, a cloud computation data service module and a cloud storage module. An integrated process including communication establishment, telemedicine, diagnosing data acquisition, data cloud storage and data sharing service between a telemedicine patient terminal and a doctor terminal is realized via mutual coordination of the above modules.

A system and method for analyzing entertainment venue data for improved venue management, comprising conventional computer hardware and including compatible software application for compiling and manipulating event consumer and sales data as well as third party consumer demographic data, including classification of event data into a plurality of event-type clusters, correlation of consumer data and event cluster data, and performing manipulations of said data in response to user queries and displaying query results. In a preferred embodiment, associative query logic database technology is used to create a data cloud of event venue consumer and sales data as well as third-party sourced demographic data.

The invention discloses a disaster recovery cloud storage system construction method based on a block chain technology. The block chain technology is introduced in a cloud storage system construction process. The characteristics of decentration and de-trust of the block chain technology are used to realize the distribution autonomy of storage nodes in a cloud storage system and data exchange and data sharing between the storage nodes based on a consensus algorithm. Compared with the current mainstream centralized cloud service system, the method has the advantages that network nodes can establish many-to-many rather than one-to-many contact relationship, which can greatly improve the transmission efficiency of data; and in the processes of data storage, exchange, upload and download, data block packaging and anonymous exchange and an asymmetric encryption algorithm are used, which greatly guarantees the safety and reliability of the entire ecological chain of data cloud storage. Compared with the current mainstream centralized cloud service system, the method provided by the invention has the advantages that on the basis of improved data safety, the operation efficiency of the system is greatly improved, and the operating cost of a cloud storage service is reduced.

The invention discloses an intelligent video teaching system based on a cloud calculation model and expression information feedback. The system consists of a data cloud, a student terminal and a teacher terminal, wherein the data cloud is separated into video data and a self-feedback intelligent control subsystem. The self-feedback intelligent control subsystem has the following specific steps of collecting video signal, and reading the video images of current student states; face detection, detecting whether faces exist in the current area; expression identification, classifying and identifying the feedback expressions of the students, and judging whether sleepy expression, puzzling expression and satisfying expression exist or not; feedback expression processing, generating different processing measures aiming at different feedback expression systems; and feedback information statistics and data report generation, centrally generating data reports for the feedback information. The intelligent video teaching system adopts the technical scheme that a user is taken as the center in the cloud calculation model, and an intelligent software platform is adopted. The intelligent video teaching system has the advantages that the cost is low, the availability is high, and easy expandability is realized.

The invention discloses a blockchain-based data cloud storage encryption method and system. The method includes the following steps that: a data owner uses a symmetric key to encrypt a file so as to obtain a file ciphertext, and then, encrypts the symmetric key by using the public key of the data owner so as to obtain a key ciphertext, and the data owner uses the public key of an attribute key pair to perform secondary encryption on the key ciphertext, and stores the file ciphertext and the key ciphertext which has been subjected to secondary encryption to could, wherein the attribute encryption public and private key pair is generated by a proxy re-encryption module; the proxy re-encryption module generates a re-encryption key that authorizes access to the file ciphertext to a data visitor, and writes the re-encryption key and the private key of the attribute encryption public and private key pair into a blockchain; and the data owner writs the access control policy of the file ciphertext into a smart contract. According to the blockchain-based data cloud storage encryption method and system of the embodiments of the invention, the re-encryption technology and the attribute encryption technology are combined, so that the encrypted storage of data files on the cloud can be realized; and the smart contract technology is used to realize the access control of the data on the cloud, and therefore, the privacy and security of the data can be fully guaranteed.

The invention relates to the technical field of multi-source data processing, in particular to a cloud platform for achieving distributed isomerous data sharing and a data sharing method thereof. A system is composed of a sharing data cloud application layer, a cloud sharing data service layer, a system bridging layer and a service system layer. The three-layer data sharing and accessing control technology is adopted, and a data owner carries out setting on the synchronization mode and the sharing mode of sharing data by using adapter software running in a front-end processor and data resource management software running in a cloud end respectively, and carries out secondary confirmation on switching of the sharing data by setting certain operation procedures. Cloud end backup is carried out on the shared data through format transformation. The cloud platform for achieving the distributed isomerous data sharing and the data sharing method thereof solve the sharing problem of isomerous data, and can be applied to the sharing processing of multi-source isomerous data.

The invention belongs to the technical field of agriculture Internet-of-things, in particular to a potato planting Internet-of-things monitoring, control and information service cloud platform integrated system. The system mainly comprises an environmental monitoring terminal, an irrigator controller, a growth picture collector, an Internet-of-things intelligent control all-in-one machine, an Internet-of-things information service cloud platform, the Internet and customer terminal equipment. The potato planting Internet-of-things monitoring, control and information service cloud platform integrated system can receive planting monitoring information in real time, and carry out security data storage, equipment control and massive data cloud computing drawing; for massive potato growth environmental data, the cloud computing capacity and an optimization algorithm of a cloud platform are used for rapidly generating a potato growth data statistical table, and the decision basis is provided for the amount and quality of purchase of a purchaser; collected pictures of the process from planting to harvesting of potatoes are analyzed through a pattern recognition technology, and the seedling hardening period and the blossom period are marked; an on-site irrigation and fertilization system can be manually or automatically controlled remotely, a planting environment is adjusted in time, loss is reduced, and yield is increased.

The invention provides an industrial soft gateway based on multiple access and edge computing and an implementation method. The industrial soft gateway comprises a configuration interaction module, adata collection module, a data edge computing module and a data sending control module, wherein the configuration interaction module comprises a connection configuration module and a data standardization module; the data collection module is used for a multiple access collection method; the data edge computing module is used for carrying out real-time computing on the data collected by the data collection module; and the data sending control module is used for carrying out caching and task scheduling and allocation of external forwarding on all data to be sent. According to the industrial softgateway based on multiple access and edge computing and the implementation method, a visual interface is arranged to provide connection configuration and standardized operation for various communication protocols and databases, and meanwhile, a graphical monitoring interface of a data collection state, an edge computing result and a forwarding state is provided. Data standardization can be realized, the data noise can be eliminated and the data features can be extracted through the edge computing module, the network transmission data volume of a data cloud platform is reduced, and the data transmission efficiency is improved.

The invention relates to an electric automobile safety prewarning protection system and a method based on a cloud service vehicle-mounted terminal. The electric automobile safety prewarning protection system comprises a vehicle-mounted terminal and a cloud service terminal, wherein the vehicle-mounted terminal and the cloud service terminal directly communicate with each other wirelessly; and the cloud service terminal comprises an encryption service, a decryption service, a data storage server, a rescue guide server, a prewarning analysis server, an overhaul plan server and a battery tracking server and is used for finishing rescue guide, prewarning analysis, overhaul plan making, battery tracking and data cloud backup according to data sent by the vehicle-mounted terminal. The electric automobile safety prewarning protection system can monitor a battery box of an electric automobile all around and perform prewarning and treatment on battery safety from multiple layers and different angles; phenomena of spontaneous combustion and loss of the battery and automobile accidents are avoided; and the safety of people and the service life of the battery are guaranteed. Due to data storage supplied by the cloud service terminal, problems of data loss, virus invasion and the like are solved; and because of complete data, powerful basis is supplied to later-stage reason analysis for electric automobile accidents and safety prewarning and analysis for the electric automobile.

The invention relates to a traditional Chinese medicine inheritance and big data mining-based dynamic health management system for a life cycle. The system comprises a client side, a server side and a data cloud platform; the client side and the server side are connected and interacted through a mobile communication network or wifi (wireless fidelity), and the data cloud platform and the server side are connected through Internet. According to the system disclosed by the invention, by adopting a method of quantitative and qualitative integration, all information is parameterized and put into a computer for deep learning so as to mine rules in the information, and find out rules of principles, methods, recipes, medicines, diseases, syndromes, symptoms and treatment of traditional Chinese medicine. Optimal configuration of medical resources is realized, and the problem of resource supply and demand information asymmetry among hospital levels is solved; the problem of information asymmetry between patients and doctors is solved; the problem of information asymmetry between health diagnosis and treatment instruments and nonprescription drugs and information asymmetry between health care products and customer demands is solved, therefore hidden cost is reduced.

The invention provides a breathing machine integrating method based on a cloud platform. The method includes the steps of producing running data when a breathing machine runs, obtaining the running data from the breathing machine through the cloud platform, analyzing the running data to obtain processed data, obtaining the processed data from the cloud platform through a medical client side so that a doctor can reset new configuration parameters of the breathing machine according to the processed data, receiving the new configuration parameters from the medical client side through the cloud platform, sending the new configuration parameters to the breathing machine so that the new configuration parameters can be automatically set on the breathing machine, and making the breathing machine run according to the new configuration parameters. The invention further provides the cloud platform applicable to the method and the breathing machine applicable to the method. By means of the method, the cloud platform and the breathing machine, the running data of the breathing machine can be more accurately grasped and then processed so that the basis can be provided for the doctor to adjust the configuration parameters of the breathing machine in time.

The invention relates to a basic service system for medical large data application, which is characterized in that the system comprises a large data cloud ETL subsystem, a large data basic kernel subsystem, a medical large data analysis mining subsystem and a system running management monitoring subsystem, wherein the large data cloud ETL subsystem is responsible for extracting, cleaning and converting and loading related datum of a hospital information system; the large data basic kernel subsystem takes the advantage of technologies such as Storm stream calculation, MapReduce batch calculation, Spark, medical large data metadata and HBASE semi-structured data storage used in large data basic capacity to realize storage, calculation and analysis to medical large datum; the medical large data analysis is used to analyze the datum stored in a medical large data basic kernel platform by utilizing data exploration, mining modeling and model evaluation; and the management monitoring subsystem is responsible for providing support, monitoring, configuration and safety service for the whole medical large data application platform.

The invention discloses a method for dynamic threshold method remote sensing data cloud identification supported by the prior surface reflectance. The method comprises the steps that a, a prior surface reflectance database is established, national MODIS surface reflectance data are collected, and synthesis is conducted through a minimum value synthesis technology so that an MODIS high-accuracy surface reflectance data set can be formed; b, a dynamic threshold detection model is established on the basis of a 6S radiation transfer model, a change tendency of the apparent reflectance of the visible light and near-infrared band surface reflectance is simulated through the 6S radiation transfer model under different atmosphere and observation conditions, the minimum value and the maximum value of the change of the apparent reflectance of clear sky pixels are obtained under all the possible conditions, and a dynamic threshold cloud and cloud shadow detection model is established through nonlinear least square fit; c, data cloud and cloud shadow detection is conducted according to an HJ star CCD, the established dynamic threshold detection model is used for conducting an information extraction experiment of cloud identification and a cloud shadow. The method can effectively improve the cloud identification accuracy of satellite data with fewer wave bands.

The invention relates to a method for determining the position of the measurement point cloud of the sheet stamping workpiece before rebound based on finite element method. The method comprises: transferring the point cloud data to the corresponding position in a geometric model; converting the data cloud data into triangle or quadrangle grids, and outputs into a finite element input format file to obtain the grid of sheet material; establishing simulation model according to the actual mould profile to obtain the mould profile grids; establishing a simulation model according to the mould and sheet material grids, and pressing the rebounded grid reversely the position before rebound; and outputting the nodes in the finite element to obtain the position of the measurement point cloud before rebound. Applying the invention can determine the rebounded compensation profile or the edge trimming line on the rebounded workpiece rapidly and accurately.

The invention belongs to the technical field of automatic control and discloses a Hami melon cold-chain logistics control system and control method. Through RFID, GPS, wireless communication and temperature-humidity sensing, temperature-humidity monitoring and goods and transport vehicle locating in cold-chain logistics are realized; an RFID unit directly reads data to a database and writes a logistics processing state in an electronic tag; an internal GPRS module, a temperature-humidity monitoring module and a video camera module are connected with a terminal of a mobile communication module; a cold-chain internet-of-things data cloud platform transmits locating data to a server in the Internet for performing storage; and information of the cold-chain internet-of-things data cloud platform is queried in the terminal to determine the temperature and humidity of a goods environment, the position of a transport vehicle and real-time video data of goods. The temperature-humidity monitoring and the goods and transport vehicle locating in the cold-chain logistics are realized; and the goals of logistics visualization, goods traceability and evidence-based supervision are really achieved.

The invention discloses a comprehensive water quality intelligent supervision method based on the Internet of things (IOT) and a system thereof. On one hand, a fixed water quality monitoring station and a mobile water quality monitoring station are combined, the water quality data in a supervision area is collected in real time, the data is instantly transmitted to an IOT water quality data cloudplatform and a back-end server to carry out operation and feedback on the collected data, and a mode of Internet access is used to realize the real-time remote monitoring of water quality. On the other hand, through inputting river basic data of the supervision area, a two-dimensional hydrodynamic-water quality coupling model is used to carry out long-term water environment prediction to obtain migration, diffusion and transformation of pollutants of unexpected pollution accidents, the early warning and planning prediction of the unexpected pollution accidents are realized. At the same time, based on the two-dimensional hydrodynamic-water quality coupling model, combined with the water quality data monitored in real time, an emission source is tracked, and the tracing function of an abnormal emission source is achieved.

The invention relates to the technical field of data cloud storage, in particular to a method and a device for accessing mass time sequence data. The method includes: receiving time sequence data which include a data source identity, data time and data information; enabling the data source identity to generate a plurality of bytes through a Hash algorithm, and creating a plurality of catalogs corresponding to the bytes in a one-to-one manner; storing the time sequence data into the catalogs in a form of a data file which includes a data section and an index section, wherein a file name of the data file is generated by the data time; receiving an inquiry request which includes the data source identity and the data time, and reading corresponding time sequence data from the catalogs according to the inquiry request and the index section. The time sequence data are accessed by combining a means of the data file and index information, so that access efficiency is improved.

Provided are an integrated sports monitoring system and a method thereof. Sports posture data of athletes' multiple parts such as footsteps, legs and arms, and human body load data are automatically collected and recorded in real time in the athletes' training or game process, and information such as athletes' motion tracks, heart rate changes, fatigue, sensitivity, load, physical status is displayed in real time. A system device includes an athlete monitoring device, a special wireless communication base station, a monitoring handheld terminal, a special analysis terminal, a data cloud systemserver, a data analysis terminal, a coach terminal, an online real-time monitoring terminal and an athlete terminal. The integrated sports monitoring system has the advantages that a sensor technology, a cloud computing technology, a data mining technology and a wireless communication technology and the like are adopted to perform multi-dimensional real-time online monitoring and comprehensive analysis on information such as athletes' motion postures, sensitivity, load, physical conditions and heart rate, and provide scientific reference for sports training or teaching.

The invention discloses a ship fault remote diagnosis and decision support system. The system comprises a ship end ship operation information management system and a shore end ship operation company ship information management system. The ship end ship operation information management system comprises a maintenance spare part module, a crew information module, a data display alarm module, an equipment operation signal acquisition-compensation-interference removal- deviation calculation- signal analysis and evaluation module, a data storage module, a data compression processing module and a data transmit-receive module. The shore end ship operation company ship information management system comprises a data transmit-receive module, a data display alarm module, a data processing module and amulti-target ship/shore end data cloud storage module. A ship equipment health management system carries out fault judgment, fault isolation and fault prediction through ship power equipment operation big data mining quality evaluation, provides ship assistant maintenance decision for a ship operation company and forms ship power equipment operation health early warning information.

The invention provides an intelligent IOV (Internet of Vehicles) system based on a cloud platform, and the system comprises a vehicle-mounted intelligent terminal and the cloud platform. The cloud platform comprises middleware, a vehicle data cloud analysis system, an initial information database, and a use management database. The middleware provides stable connection for the data flow and voice communication between the vehicle-mounted intelligent terminal and the vehicle data cloud analysis system. The middleware is provided with a message transceiver, a message decoder, and a message distributor. The system effectively solves a real-time connection problem of vehicle-mounted equipment in the IOV, the problem of interconnection and intercommunication between various types of terminals and a service platform, and a problem of information service.

The invention discloses a tour guide and safety control method based on satellite equipment. The method comprises the steps of: (1) acquiring longitude and latitude coordinates by connecting a satellite through a positioning module, by a mobile terminal; (2) judging whether to use a GPRS (General Packet Radio Service) or 3G (The 3rd Generation Telecommunication) communication channel or a Beidou satellite channel; (3) sending information containing the longitude and latitude coordinates to a communication server by a mobile terminal; (4) establishing persistent link with the mobile terminal through a communication server; (5) transmitting information sent by the mobile terminal to an application server through a communication server; and (6) carrying out various business logic calculations by the application server based on a data cloud service center, returning a calculation result to the mobile terminal, and by utilization of the mobile terminal, a satellite, the communication server and the application server, partially or completely completing the following operations: verifying the communication channel and recording the coordinate information and weather and disaster conditions of a current city in real time; performing navigation for lost; intelligently searching positions of accompanying partners; and automatically prompting on dangerous areas around according to user position to facilitate evasion of a user.

The invention discloses a distributed storage system, which realizes distribution autonomy of storage nodes in the distributed storage system and consensus algorithm-based data exchange and data sharing among storage nodes by utilizing the characteristics of decentralization and trust removal in the construction process of the distributed storage system. Compared with a current mainstream centralized cloud service system, network nodes can establish many-to-many rather than one-to-many contact relationships, and the data transmission efficiency can be greatly improved; in the data storage, exchange, uploading and downloading processes, data block packaging, anonymous exchange and asymmetric encryption algorithms are adopted respectively, so that the safety and reliability of the whole ecological chain of data cloud storage are greatly ensured. Compared with a mainstream centralized cloud service system at present, the system operation efficiency can be greatly improved on the basis of improving the data security, and the operation cost of the cloud storage service is reduced.

The invention provides an electronic commerce goods recommendation method based on large data multiple labels. The method comprises the steps of (1) collecting user data, (2) constructing a purchase behavior model, (3) analyzing the purchase tendency of the user through data, (4) pushing goods, (5) carrying out secondary collection of user data, through a large data cloud calculating platform, recording the click and purchase information of a user after pushing and the browse time information of different goods pages, and carrying out characteristic acquisition and data acquisition of the data, and (6) carrying out the secondary pushing of the goods, and pushing corresponding goods to the user according to the click and purchase information of the user after pushing and the browse time information of different goods pages. Compared with the prior art, the method has the advantages of user shopping can be guided, a user shopping experience is satisfied, and the method has an important effect in improving the clicking rate and popularity of an electronic commerce website.