143 results about "Cloud data management" patented technology

The different illustrative embodiments provide a method, computer program product, and apparatus for managing data. An encrypted file containing the data is divided into a plurality of segments. The plurality of segments are sent to a plurality of cloud computing environments for storage in the plurality of cloud computing environments. Each cloud computing environment in the plurality of cloud computing environments receives a portion of the plurality of segments. The portion of the plurality of segments is associated with a cloud computing environment in the plurality of cloud computing environments to which the portion of the plurality of segments was sent.

The invention discloses an intelligent public transportation system with unmanned driving and field return charging functions.The intelligent public transportation system comprises a management platform, a vehicle-mounted terminal, a network traffic control system, a user terminal, a charging station management terminal and a cloud data management terminal.The vehicle-mounted terminal comprises an unmanned intelligent driving system, an automatic charging electricity receiving system, a vehicle status monitoring system, an identity information recognition system and a charging system, all of which are connected with the management platform.The unmanned intelligent driving system and the vehicle status monitoring system are both connected with the cloud data management terminal.The identity information recognition system and the charging system are both connected with the user terminal, and the identity information recognition system is connected with the charging system.The charging station management terminal is connected with the cloud data management terminal.The electric vehicle technology and the unmanned driving technology are combined, a cloud data analysis and intelligent management system achieves a special vehicle use operating mode, and on the premise that safe vehicle use is guaranteed, an individual, intelligent and green public transportation means is provided for a user.

The invention discloses a cloud data management method based on a block chain and relates to the block chain cloud data management technology field. The method comprises the steps of initializing; uploading data; verifying ownership; and operating data. The method is characterized in that a block chain technology and an ownership certification technology are used to realize safe and high-efficiency management of cloud data; any one party can inquire a record on the block chain so as to high-efficiently trace a reason of a data problem; and because the block chain record possesses characteristics that the record can not be tampered and is traceable, real-time recording and safe management of a whole life period of cloud data can be realized and efficiency and safety of an existing cloud service are increased.

The invention provides automated test suite for compliance testing of cloud storage server to a Cloud Data Management Interface (CDMI) by performing functional testing of CRUD (Create, Read, Update, and Delete) operations. It offers a solution containing test scripts for validating the response from CRUD operations performed on CDMI objects and checks for the cloud storage to be CDMI compliant.

The invention provides a restaurant management system based on cloud computing and intelligent analysis. The restaurant management system comprises at least one client, a merchant local management system and a cloud management system which are in both-way communication with one another through a network; the merchant local management system comprises a merchant terminal, a kitchen management sub-system and a local CRM sub-system, wherein the merchant terminal is used for placing orders for users, the kitchen management sub-system is used for managing the orders sent by the merchant terminal and enabling processing results of the orders to be sent back to the merchant terminal and displayed, and the local CRM sub-system is used for managing historical information of the users and having information interaction with the cloud management system; the cloud management system comprises a cloud CRM sub-system, a data analysis sub-system and an information pushing sub-system, and the cloud CRM sub-system is used for collecting and synchronizing merchant data, enabling the merchant data to be provided for the data analysis sub-system to be analyzed and calculated, and enabling analyzed results to be presented or sent back to the local CRM sub-system or pushed to the clients through the information pushing sub-system.

The invention discloses a medical document storage and utilization system based on cloud service and a utilization method thereof. The medical document storage and utilization system comprises a local preposed server, a cloud data management server, a cloud database, a cloud object memory, a cloud client verification server, a cloud application server, and a user terminal. By adopting the technical scheme provided by the invention, a user can browse, download, or print examination reports, image film documents, hospital and patient basic information data issued to examinees by using the user terminal, and therefore problems such as equipment investment costs of doctors and waiting time costs of patients are solved.

The invention discloses a cloud desktop management system based on a security gateway and a security access control method thereof. The method comprises the steps of providing a uniform security entrance by an SAG (Security Access Gateway) security gateway, and shielding an internal network; supporting a cluster, and dispatching and distributing requests by a management node; adopting a token mechanism; providing a management interface. The method provided by the invention comprising the steps of building the mapping between an external connecting port and the internal network by adopting a linux firewall NAT (Network Address Translation) technology, and providing the uniform security entrance to shield the internal network; supporting the cluster, supporting a frame of a plurality of management nodes and a plurality of Agent nodes by adopting a flexible frame and a flexible deployment way, and distributing requests by the management nodes; adopting the token mechanism to map the port and keeping the connection, and ensuring the manageability of client access and connection. The network isolation between the client and an application server can be realized, i.e. the client and the applying server are arranged at different network segments, therefore the client cannot directly visit the applying server, but can visit the resource of the applying server through a virtual machine, and the security of the virtual resources can be ensured.

The invention discloses a cloud-computing-based medical data service system which comprises a hospital information system, a hospital data management system, a cloud data management system, a cloud storage server and an inquiry platform. The hospital information system provides medical data and transmits the same to the cloud storage server through the hospital data management system and the cloud data management system, and the inquiry platform is connected with the cloud storage server and used for interacting with a patient and displaying inquiry results. By the cloud-computing-based medical data service system, sharing of the medical data can be realized, the patient can inquire examination results without going out, and printing of the examination results by using paper and films is not needed, so that hospital cost is lowered, and hospital hardware equipment input and maintenance cost is saved.

The invention discloses an intelligent tourism management system which comprises an unmanned aerial vehicle aerial photography tourist distribution system, a scenic area face recognition system, a scenic area entrance people flow prediction system, a scenic area basic information data system, a hotel data statistics system, a cloud data management platform and a mobile terminal. According to the invention, surrounding images of scenic spots are collected through an unmanned aerial vehicle low-altitude aerial photography technology, and crowding conditions around the scenic spots are obtained through a human head detection method; identifying the age stage and gender of the tourist by utilizing a face identification technology; predicting the people flow condition of the scenic spot by utilizing a face detection technology; detailed tourism information is provided for tourists by adopting a scenic area basic information data system and a hotel data statistics system; and the cloud datamanagement platform stores and processes front-end system data, pushes scenic spot real-time information and scenic spot and hotel basic information to tourists, helps the tourists to generate tourismdecisions, formulates tourism plans in advance and enjoys tourism processes.

The invention belongs to the technical field of electronics, and provides a distributed cloud data management method and system based on a peer-to-peer network. The peer-to-peer network comprises a plurality of user nodes, and each user node in the peer-to-peer network can encrypt data via a private key of a user of the node and then upload the data to the peer-to-peer network to store the encrypted data to other user nodes of the peer-to-peer network in a distributed manner. By encrypting data and storing the data to the user nodes of the peer-to-peer network in the distributed manner, mass data can be stored, so that the storage security of data is effectively guaranteed while the existing storage space is expanded.

The invention discloses an NFC product anti-counterfeiting traceability system and an anti-counterfeiting traceability method thereof. The system is characterized by comprising a commodity information cloud data management center and an NFC communication module. The NFC communication module comprises an NFC tag and NFC tag readers. The NFC tag readers are composed of a production enterprise information provision client reader, a commodity circulation information client reader, a retailer information client reader and a consumer client reader. The NFC tag and the NFC tag readers are in communication connection. According to the technical scheme of the NFC product anti-counterfeiting traceability system and the anti-counterfeiting traceability method thereof, the problem that the traditional anti-counterfeiting method easily causes the occurrence of pirates, tedious recycle, cumbersome inquiry and high anti-counterfeiting cost can be solved. Meanwhile, the system can be used for monitoring the steps of commodity production, storage, logistics and the like. Meanwhile, the commodities fleeing phenomenon can be inhibited, and the source of counterfeit and shoddy commodities can be traced.

The invention discloses a laser point cloud data management method based on octree and three-dimensional R star tree integration. According to the mass point cloud data management method, the rapid convergence capacity of an octree in a three-dimensional space and the advantage that a three-dimensional R star tree is stable in performance on irregularly-distributed multi-dimensional point data are fully combined. The method comprises the steps that octree partitioning is conducted on laser point cloud data, the three-dimensional R star tree is constructed for leaf nodes of the octree, and then a 3DOR star tree index structure is constructed; characteristic analysis is conducted on the laser point cloud data, a laser point cloud data storage structure based on the 3DOR star tree is constructed, and then laser point cloud storage and management based on the 3DOR star tree is achieved. According to the method, the laser point cloud data storage structure based on the 3DOR star tree has the advantages of efficient spatial storage and query and the like compared with other tree structures, and a technical support can be provided for mass laser point cloud data storage, management and analytical application.

The invention discloses a commodity anti-counterfeiting traceability system and method based on active radio frequency identification (RFID) technology. The system comprises an active RFID tag fixed in a commodity, a miniature active RFID reader-writer which is similar to a U disk (universal serial bus (USB) flash disk) and is connected with a mobile phone or a computer through a USB interface, a tag-reader-writer communication protocol module, a commodity information cloud data management center and a data management terminal of a commodity manufacturer. The anti-counterfeiting traceability system and method have the advantages of low cost, high safety and high reliability; and by adopting the system and method, commodity information can be inquired anytime and anywhere.

The invention discloses an ecological agricultural management system which has the functions of constant pressure monitoring and control, water level monitoring and control, fertilizer monitoring and control, irrigation monitoring and control, wireless valve control monitoring and control, voice promoting, prepayment monitoring, internet of things communication, water quality monitoring, shading illumination monitoring and control, humidity ventilation monitoring and control, temperature monitoring and control, video capture, soil entropy monitoring, plant disease and insect pest monitoring, product trace management, meteorological monitoring, cloud data management, application program visual management.The system can record the agricultural product variety, growth environment and growth process all the way, improve agricultural production automation degree, and reduce inconsistency caused by human factors in the agricultural production process, the quality of agricultural products is improved, various natural hazards are effectively avoided, a user can know the production process and related data of agricultural products immediately, and the increment space of agricultural products is enlarged.

The disclosed embodiments disclose techniques for managing cloud-based storage using a time-series database. A distributed cloud data management system (DCDMS) manages objects stored in a cloud storage system. The DCDMS leverages a distributed time-series database to track objects accessed via the DCDMS. During operation, the DCDMS receives a request to access an object using a path identifier and an object identifier. The DCDMS determines from the path identifier that the request is associated with one of its supported extended capabilities, and uses the previously tracked object operations that are stored in the time-series database to determine the actual target bucket in the cloud storage system that contains the requested object; the target bucket that contains the object may be different from the bucket identified in the path identifier that is received. The object identifier is then used to access the requested object from the target bucket to service the request.

The invention relates to a cloud data management-based power battery management system and method. According to the system, the using process of a power battery in a full life cycle is monitored and recorded through a battery data acquisition module to obtain working condition data, such as temperature, current and voltage of the battery; a battery management system collects the data and transmitsthe data to an on-board TBOX; the on-board TBOX remotely transmits the data to a battery data cloud analyzing and processing module through a wifi or a mobile data network; data support is provided for cascade utilization evaluation of the battery on the cloud through a big data analyzing and processing method; and time nodes of cascade utilization and dismantling recycling are predicted and judged through a battery state judgment module, so that the complex and time-consuming detection process of the battery is saved, the recycling efficiency is improved, the life cycle of a battery productis prolonged, the cost is effectively reduced, the time is saved and the requirements on the operating mode and the usage scenario of the power battery are met.

The invention discloses a dynamic monitoring and tracking management method and system which are applied to chronic disease exercise rehabilitation. The system comprises wearable equipment, a patient end, a cloud data management platform and a doctor end, wherein the wearable equipment is used for collecting exercise data of a patient during exercise and synchronizing the data to the patient end, the patient end is used for monitoring the exercise data and tracking three-high index data of the patient, and then uploading the exercise data and the three-high index data to the cloud data management platform, the cloud data management platform is used for analyzing the exercise data and the three-high index data according to a configuration mode, monitoring the health condition of the patient, and establishing a patient health file synchronously, and the doctor end is used for checking the patient health file of the patient, and adjusting the exercise prescription of the patient synchronously. According to the dynamic monitoring and tracking management method and system which are applied to the chronic disease exercise rehabilitation, the all-around close-loop type management of the exercise, diet and psychology of a user can be achieved by dynamically monitoring real-time exercise and three-high indexes in the exercise rehabilitation process of the chronic disease patient.

The invention provides a Hadoop based power cloud data management indexing method in a power system. The method comprises: b. dividing received data into a mass data type and an information data type; c. establishing an index corresponding to each type according to the data types; and d. generating request information according to query conditions of a user, performing a search according to the request information, and feeding back a search result to the user. According to the method, the requirements of frequent updating and quick multi-dimensional query are effectively met, the influence of index creation on system writing performance is reduced to a certain extent, and the threat of retrieval to system stability is reduced.

The invention discloses a highly-visualized data management system, which comprises a database layer, a data access persistence layer, a business layer, a remote service layer and a display layer, wherein the business layer comprises a group of business logical modules and is used for extracting data execution business logic from a database and obtaining business execution result data by means of the data access persistence layer accessing the database; the remote service layer is used for realizing data communication between the business layer and the display layer; and the display layer is used for providing an interactive user interface for receiving user commands and transmitting the commands to the business layer through the remote service layer. After executing the business logic according to the commands, the business logical modules in the business layer transmit the business execution result data to the display layer through the remote service layer. The display layer comprises a group of data models, each data model corresponds to visualized display of one kind of business logic and acquires the business execution result data of the corresponding business logic, and the display layer is used for generating visualized display based on the business execution result data and displaying to the user by the aid of the interactive user interface.

The invention discloses a cloud based BIM collaborative design platform which comprises an application end and a cloud data server. The platform is characterized by also comprising a Hongye collaborative design platform, both the application end and the cloud data server are connected with the Hongye collaborative design platform, and the Hongye collaborative design platform includes project management, resource management, collaborative design, light browsing and Hongye cybertalk. Model data is obtained to a local server via a BIMSpacer, cloud projection information is synchronized, Revit self collaboration is replaced, and a local server collaborative data processing plus cloud data management and model browsing mode is realized.

The invention discloses a method and a system for quickly recovering data based on a Kubernetes cluster. The method comprises the following steps: adding a unique number corresponding to to-be-recovered data into a configuration file of a synchronous storage class, and customizing a storage class name in the configuration file of the synchronous storage class; binding a self-defined storage classname in a configuration file of the persistent storage application; creating a persistent storage application according to the modified configuration file of the persistent storage application; calling a cloud data management system interface according to the persistent storage application; sending the unique number, the self-defined storage class name and the IP address corresponding to the to-be-recovered data to a cloud data management system, creating a to-be-recovered data volume on a storage server by the cloud data management system according to the received information, and storing theto-be-recovered data on the to-be-recovered data volume, and self-defining the storage class name and the IP address; and the storage server shares the to-be-recovered data volume. According to the method and the system, tThe backup data can be directly used in the Kubernetes.

The invention discloses a soft close-fitting intelligent health monitoring vest, and belongs to the field of health monitoring equipment. The scheme includes that a flexible printed circuit board is arranged at a front chest of a vest body, a sensor module, a control core device and a key module are arranged on the flexible printed circuit board, the sensor module which is in contact with the skins of a wearer is provided with non-sticky conductive rubber jackets, and portions, except for the sensor module, of the flexible printed circuit board are in contact with the skins of the wearer via lint after being insulated and isolated; the sensor module is used for monitoring electrocardiogram signals, heart and lung sound signals and body temperature signals and transmitting the electrocardiogram signals, the heart and lung sound signals and the body temperature signals to the control core device; external instruments can be transmitted to the control core device by the key module; data can be exchanged between the control core device and a mobile phone in a wireless mode, can be uploaded to a cloud data management system by the mobile phone and can be called by doctors or users or family members. The soft close-fitting intelligent health monitoring vest has the advantages that the soft close-fitting intelligent health monitoring vest which is an intelligent health monitoring garment can be used by old people, old people can wear the intelligent health monitoring garment comfortably, influence on normal life can be prevented, and the intelligent health monitoring garment is free of maintenance or complicated operation; the vest is used for monitoring the health of old and weak people.

The invention relates to the technical field of cloud computing, in particular to a user synchronization and right control method suitable for multi-cloud management. Firstly, the invention defines auser management organization structure on a multi-cloud management platform, and determines a mapping relationship between the organization and a tenant of the cloud platform. Secondly, the users in the organization are created in the multi-cloud management platform, and the users are created in the corresponding tenants of the cloud platform synchronously; then defines the user function permissions on the multi-cloud management platform, and synchronizes the user function permissions to each cloud platform periodically; finally, fine-grained control of specific cloud service resource management scope is carried out in the multi-cloud management platform, and synchronized to the cloud platform. The cloud platform manager of the invention manages its own organization structure and user authority in a unified operation mode on a multi-cloud management platform, no need to care about the differences of user management of heterogeneous cloud platforms, while ensuring the consistency of users and permissions when users directly use the cloud platform for management, to maximize the security and isolation requirements of user management of cloud resources.

The invention discloses an urban traffic and cloud data management platform based on Internet of Things technology, which includes a control center, which is electrically connected to a cloud database bidirectionally, and an output end of the cloud database is electrically connected to an input end of a mobile terminal. The urban traffic and cloud data management platform based on the Internet of Things technology can manage and monitor the urban road system and signal light system in different regions, effectively ensuring the orderliness of urban traffic management, more targeted, and more convenient management. Real-time monitoring and feedback can reasonably comprehensively manage and store road information and signal light information, effectively improve the urban traffic management system, and meet the requirements of modern urban traffic. Citizens can monitor road live information and signal light information through mobile terminals. Accurate query makes it more convenient to use, effectively avoids the occurrence of traffic jams, and effectively guarantees the normal travel of citizens.

The invention belongs to the technical field of wisdom medical treatment and particularly relates to a tuberculosis detection cloud data management analysis system. According to the tuberculosis detection cloud data management analysis system, detection results of medical detection devices distributed in different places are collected to a cloud end in a unified way through the internet and are subjected to data processing; cross-linking of collection devices is realized through the system; a large amount of original data generated by a medical sanitation institution in a business process is classified and summarized in a cloud platform; an internal relation and a dynamic change among the data are analyzed to obtain a conclusion; and the system can provide a management decision basis for national medical management departments and provide a basis for diagnosis of doctors, and has a very high practical value. The system takes tuberculosis data monitoring as an entry point; after expansion, platform management of medical devices, medical staffs and patient information is realized, so that the medical departments and patients can be benefited from the platform; and the system has thecharacteristics of timeliness, high efficiency, convenience, perfectness, high security and the like.

The invention discloses an intelligent charging management system and an intelligent charging management method of an electric automobile. The management system comprises an app client side and a main information processing module, wherein the main information processing module comprises a system information processing matching module, a stored-value recharging payment interface module, a supplier charging pile information module and a cloud data management system. The management system acquires automobile information and stored-value information by virtue of the stored-value recharging payment interface module, matches the information by virtue of the system information processing matching module, acquires the charging pile information by virtue of the supplier charging pile information module, and performs butt joint with corresponding charging pile suppliers according to user requirements. By the management system and the management method, the trouble which is brought to users and is caused by difference of operating modes and software systems between the charging pile suppliers is avoided. Meanwhile, the operating efficiency of the charging pile is improved and the application range of new-energy automobiles is expanded.

The invention discloses a medical data storage system based on cloud computing. The medical data storage system based on the cloud computing comprises a hospital information system, a hospital data management system, a cloud data management system and a cloud storage server, the hospital data management system is respectively connected with the hospital information system and the cloud data management system for receiving and processing medical data sent from the hospital information system and sending the processed data to the cloud data management system, and the cloud data management system is connected with the cloud storage server for receiving and processing the medical data sent from the hospital data management system and storing the data in the cloud storage server. The medical data storage system based on the cloud computing is capable of saving the hardware equipment investment for the hospital and lowering the maintenance cost, and meanwhile, the information precision and reliability are guaranteed.

The present invention relates to a ticket management apparatus (TMA) for cashless operation of gaming machines (100a-100n), comprising a ticketing device (400a-400n) for inputting and outputting tickets (500) containing gaming data (502) and at least one data management device (101a-101n). The data management device (101a-101n) includes a gaming machine interface (GMIa-GMIn) for exchanging gaming data (502) with a controller (103a-103n) of a gaming machine (100a-100n), a ticketing device interface (TDIa-TDIn) for exchanging gaming data (502) with that ticketing device (400a-400n), a processor unit (106a-106n), a memory unit (107a-107n) and an external communication interface (ECIa-ECIn) for exchanging gaming data (502) with one or more devices (208) external to that ticket management apparatus (TMA).