5013 results about "Cloud data" patented technology

A multi-cloud data replication method includes providing a data replication cluster comprising at least a first host node and at least a first online storage cloud. The first host node is connected to the first online storage cloud via a network and comprises a server, a cloud array application and a local cache. The local cache comprises a buffer and a first storage volume comprising data cached in one or more buffer blocks of the local cache's buffer. Next, requesting authorization to perform cache flush of the cached first storage volume data to the first online storage cloud. Upon receiving approval of the authorization, encrypting the cached first storage volume data in each of the one or more buffer blocks with a data private key. Next, assigning metadata comprising at lest a unique identifier to each of the one or more buffer blocks and then encrypting the metadata with a metadata private key. Next, transmitting the one or more buffer blocks with the encrypted first storage volume data to the first online cloud storage. Next, creating a sequence of updates of the metadata, encrypting the sequence with the metadata private key and then transmitting the sequence of metadata updates to the first online storage cloud.

Embodiments of the present solution provide a cloud bridge to bring network transparency between the otherwise disparate networks of the datacenter and cloud service provider. For example, appliances may be deployed in the datacenter and on the edge of the cloud. These appliances may be configured or designed and constructed to communicate with each other and recognize and understand the local IP and / or public IP network information of the on-premise datacenter of the enterprise and the cloud datacenter. These appliances may manage the flow of network traffic between the on-premise and cloud datacenters in a manner to appear and act seamlessly and transparently as a single network spanning both the on-premise and cloud data centers.

A system and methods for the migration of complex computer applications and the workloads comprising them between physical, virtual, and cloud servers that span a hybrid cloud environment comprising private local and remote customer data centers and public cloud data centers, without modification to the applications, their operational environments, or user access procedures. A virtual network manager securely extends the subnets and VLANS within the customer's various data center across the distributed, hybrid environment using overlay networks implemented with virtual network appliances at nodes of the overlay network. A server migrater migrates individual workloads of servers used by the complex application from one pool of server resources to another. A migration manager application provides a control interface, and also maps and manages the resources of the complex application, the hybrid environment, and the virtual network spanning the hybrid cloud environment.

The invention provides an unmanned vehicle navigation driving method based on a cloud server. A device according to the method comprises three modules, namely the cloud database, an on-vehicle terminal and a ground GPS base station. In the unmanned vehicle, a destination is input through the on-vehicle terminal of the vehicle. Furthermore the destination information, position information and vehicle condition information of the vehicle are transmitted to the cloud database. The cloud database integrates all related information for performing calculation planning, and transmits an optimal driving plan to a vehicle system for execution by a vehicle control system. Furthermore, surrounding environment information is acquired in real time in vehicle driving and is uploaded to the cloud database, thereby realizing real-time synchronous updating of the cloud database and ensuring high reliability and high real-time performance of cloud data. The unmanned vehicle navigation driving method can supply detailed map information for the vehicle on special conditions of rainy or snowy weather, insufficient light at night, covered road surface or covered sign plate, etc.

The invention is method and apparatus for network conscious edge-to-cloud data aggregation, connectivity, analytics and actuation operate for the detection and actuation of events based on sensed data, with the assistance of edge computing software-defined fog engine with interconnect with other network elements via programmable internet exchange points to ensure end-to-end virtualization with cloud data centers and hence, resource reservations for guaranteed quality of service in event detection.

The invention discloses a remote obstacle detection method based on laser radar multi-frame point cloud fusion. A local coordinate system and a world coordinate system are established, an extraction feature point of each laser point is calculated on an annular scanning line of the laser radar according to the original point cloud data under the local coordinate system, and the global pose of the current position relative to the initial position and the de-distortion point cloud in the world coordinate system are obtained through inter-frame feature point matching and map feature point matching; the de-distortion point clouds of the current frame and the previous frame are fused to obtain more compact de-distortion point cloud data, which is unified to the local coordinate system, then projection is performed on two-dimensional grids, and an obstacle is screened according to the height change features of each two-dimensional grid. According to the method in the invention, the problem that the detection rate of the remote barrier caused by sparse laser point clouds is low is solved, the remote barriers can be effectively detected, the error detection rate and the leak detection rateare low, and the system cost can be greatly reduced.

The invention provides a relocating method and apparatus of an indoor robot. The method comprises the following steps: controlling a visual sensor to acquire visual image data, and controlling a laser sensor to acquire laser dot cloud data; judging whether the robot is lost in a current environmental map according to the laser dot cloud data; if yes, laser relocating the robot according to the laser dot cloud data, visually relocating the robot according to the visual image data, and determining whether a candidate area exists or not according to a laser relocating result and a visual relocating result; when the candidate area exists, carrying out the posture optimization for the robot, and determining current position information and current posture information of the robot; and when the candidate area does not exist, controlling the robot to make obstacle avoidance motion according to the laser dot cloud data until the candidate area is determined. The robot is relocated by adopting a way of combining the laser sensor and the visual sensor, so that the relocating accuracy of the robot is improved, and the robot can be accurately and autonomously navigated.

A cloud data storage system is provided for multiple clients to access data of files comprising at least one node connecting to a first storage means; at least one namenode module for processing file operations issued from the clients, namenode module issuing data access instructions to access and maintain the metadata on the first storage means; at least one datanode module respectively executing on at least one node, each datanode module functioning to scan and access a second storage means connected thereto; at least one data import module selectively executing on nodes in which datanode module are executing, the data import module scanning a second storage means newly connected to the cloud data storage system and obtaining a corresponding metadata, and executing data migration operation for the data in second storage means without actual physical uploading operation.

The invention discloses an automatic registration method for three-dimensional point cloud data. The method comprises the steps that two point clouds to be registered are sampled to obtain feature points, rotation invariant feature factors of the feature points are calculated, and the rotation invariant feature factors of the feature points in the two point clouds are subjected to matching search to obtain an initial corresponding relation between the feature points; then, a random sample consensus algorithm is adopted to judge and remove mismatching points existing in an initial matching point set to obtain an optimized feature point corresponding relation, and a rough rigid transformation relation between the two point clouds is obtained through calculation to realize rough registration; a rigid transformation consistency detection algorithm is provided, a local coordinate system transformation relation between the matching feature points is utilized to perform binding detection on the rough registration result, and verification of the correctness of the rough registration result is completed; and an ICP algorithm is adopted to optimize the rigid transformation relation between the point cloud data to realize automatic precise registration of the point clouds finally.

The invention discloses an intelligent industrial security cloud gateway equipment system and method. The industrial cloud security gateway equipment and method is characterized in that upper cloud data is encrypted and added with data classification identifiers and time stamps, and decryption, security scanning and multiple security authentication access control are carried out on data on downlink intelligent equipment, so that interconnection, protocol conversion, and multi-directional transparent and real-time transmission among cloud equipment, enterprise datacenter equipment and various intelligent equipment on an industrial field can be achieved. An intelligent industrial cloud security gateway is embedded intelligent equipment comprising various serial ports, communication interfaces for a field bus and field intelligent equipment such as the industrial Ethernet, communication interfaces for wireless mobile communication and wired Internet cloud equipment, wireless or wired local area network interfaces for Bluetooth, broadband and the like, an Ethernet switch, a GPS module, and embedded software. The intelligent industrial cloud security gateway can systematically prevent user data leakage and network virus attacks, is core equipment of a secure and reliable intelligent industrial cloud service system, and can serve intelligent industrial manufacturing.

The present invention relates to an apparatus for providing energy information, including: an energy information input unit configured to receive energy information for each device extracted from combined energy information according to a classification of the device using collected energy-related information; an energy information processing unit configured to generate energy use information of the device by using the energy information for each device; and an energy information transmitting unit configured to transmit the generated energy use information to a user terminal According to the present invention, it is possible to improve data stability by processing and managing cloud data by an energy information provider, and continuously improve performance through an upgrade of software and a database. Furthermore, it is possible to eliminate burden of initial investment and maintenance costs for all other devices and equipment to a user in addition to an energy monitoring device, and it is also possible to reduce the burden of learning expert knowledge on big data processing and information interpretation and of having separate permanent managing personnel by allowing cloud-based energy information management by professionals.

A system and method for efficiently storing data both on-site and off-site in a cloud storage system. Data read and write requests are received by a cloud data storage system. The cloud storage system has at least three data storage layers. A first high-speed layer, a second efficient storage layer, and a third off-site storage layer. The first high-speed layer stores data in raw data blocks. The second efficient storage layer divides data blocks from the first layer into data slices and eliminates duplicate data slices. The third layer stores data slices at an off-site location.

The invention discloses a digitized city management data sharing system based on cloud data, which comprises a city management cloud center, wherein the city management cloud center comprises supervision data wireless acquisition equipment (city management equipment), an application layer, a cloud data center, an application maintenance layer and a provincial city management cloud center infrastructure layer; and an intelligent city management digitalized city management platform provides services to cities through special departments, a command center and a monitoring center. The digitized city management data sharing system adopts an intelligent city management and construction mode based on cloud calculation, and reduces the problems that the service processing unit has difficulty in maintaining system functions, service process and data processing.

The invention discloses a virtualized infrastructure platform for cloud data centers, which comprises a cloud management server, a cloud resource control server and a cloud security server, the whole life cycles of various computational resources of a cloud platform are monitored and managed by the cloud management server, the various resources of the physical layer of the cloud platform are scheduled, controlled and managed by the cloud resource control server, and the cloud security server is used for establishing a cloud computation security control system in a private cloud and a secure interaction system for the private cloud and a public cloud; the cloud management server is integrated with the cloud resource control server through REST interfaces, and the cloud security server is respectively connected with the cloud management server and the cloud resource control server. The virtualized infrastructure platform for cloud data centers can realize security gateway-based unified remote virtual machine control and management, providing administrators with a unified access entrance for the management of virtual resources, and moreover, by means of directory service, the virtualized infrastructure platform for cloud data centers checks the validity of user identities; and a user can use the Python language to extend the resource scheduling control function.

The invention is mainly used for searching a searchable encryption technology under a public key password system, and discloses a multi-user cloud encryption keyboard searching method capable of verifying integrity and completeness. The method can be used for verifying the search result completeness and the outsourced data integrity under the cloud environment and setting the multi-user authority. The method can be used for realizing the verification of the search result completeness and the outsourced data integrity by using signatures to bind keyword indexes and associated encryption files thereof, realizing multi-user privacy query by using a re-encryption technology and dynamically updating the query authority of the user. Moreover, the index structure and the query mechanism of the encrypted file are further optimized, so that the query efficiency is improved by using hash query in the query process, and the rapid access to the cloud data is realized.

A method, apparatus, system, article of manufacture, and data structure provide the ability to extract a primitive quadric surface from point cloud data. Point cloud data is obtained in 3D space. The point cloud data is segmented to create a disjoined surface and a smooth surface segment based on spatial connectivity and surface smoothness. One or more shapes are extracted from the point cloud data using geometric fitting. The geometric fitting searches for one or more quadric surface parameters of a given type of model that provides a best agreement between selected points from the point cloud data and a resultant model.

The invention is applicable to the field of data storage technology improvement, and provides a file security sharing method based on blockchain cloud storage. The method includes the steps as follows: S1, performing data encryption on a file by using a symmetric encryption algorithm, and storing a data ciphertext in a cloud disk; S2, enabling a user to generate a key ciphertext by using a symmetric key for decrypting the data ciphertext through encryption, and storing the storage locations of the key ciphertext and the data ciphertext together on a blockchain as a part of metadata; and S3, performing proxy re-encryption on the stored file data by using a new key, and securely sharing the data through the new key and the re-encrypted new ciphertext. Through the implementation of a cloud security storage and sharing mechanism for a private file under a decentralized storage architecture of the blockchain, the data stored in the cloud by the user can only be accessed through a private key, when the own encrypted data needs to be shared to other users, the own original key of an owner cannot be exposed to other people, and the process of downloading all cloud data, re-encrypting the data by using a shared key, and then uploading the data in sequence is not required.

Some embodiments provide a method for a network controller that manages a logical network implemented in a datacenter having forwarding elements to which the network controller does not have access. The method identifies a data compute node (DCN) operating on a host machine in the datacenter, to attach to the logical network. The DCN has a network interface with an address provided by a datacenter management system. A workload application executes in a first namespace of the DCN. The method distributes configuration data for configuring a managed forwarding element (MFE) executing in a second namespace of the DCN to receive data packets sent from the application via an interface pairing between the first and second namespaces. The data packets sent by the application have the provided address as a source address when received by the MFE and are encapsulated by the MFE using the provided address as a source address.

The invention discloses an urban road marker automatic sorting method based on vehicle-mounted laser scanning point cloud. The method includes: S1) a step of subjecting original point cloud data to road surface segmentation based on wheel path data to obtain road surface point cloud data; S2) a step of subjecting the obtained road surface point cloud data to binarization processing and extracting road marker points; S3) a step of clustering the road marker points and separating independent road marker targets; S4) a step of sorting large road markers and small road markers according to the dimensions of the obtained road marker targets; S5) a step of subjecting the large road markers to sorting processing based on wheel paths and road edge lines; and S6) a step of subjecting the small road markers to sorting processing based on deep learning and principal component analysis. The method rapidly and accurately extracts and sorts urban road markers, largely reduces the time and labor cost for data processing, and effectively guarantees traffic safety and intelligent drive reliability.

The invention discloses an access control system and an access control method between a public cloud and a private cloud. The access control system includes a private cloud control module at a private cloud end, and a public cloud control module at a public cloud end. The private cloud control module comprises an inter-cloud data exchange module and a user access control module. The inter-cloud data exchange module is respectively connected with the user access control module and the public cloud control module through a network. The access control method combines role-based access control and attribute-based access control, an attribute-based access control mode is adopted in the private cloud, and a role-based access control mode is adopted when the private cloud accesses the public cloud. Due to the fact that the access control system limits the access right of users of the private cloud to resources or services of the public cloud, the access control system has the advantages of being quite high in inter-cloud data exchange safety.

The invention relates to a method for automatically measuring human body dimensions on the basis of three-dimensional point cloud data. According to three-dimensional human body point cloud data acquired by a laser three-dimensional color human body scanner developed on the basis of independent innovation, the original three-dimensional point cloud data is denoised and the like; and then human body dimensions, which are required by costume design, model measurement and the like and comprise height, body measurements and curve length, are acquired by automatically fetching human body characteristic points and characteristic sections. A measuring system adopted by the invention acquires three-dimensional human body outline data, which can reflect the body form of the human body best, by directly scanning the human body; joint points and outline convex points of the human body can be automatically fetched by a maximum and minimum measurement method and a most convex and concave point method; and characteristics and dimensions of the human body longitudinal sections and cross sections can be directly acquired. The method is convenient in operation, high in speed, high in measuring precision, high in repeatability and suitable for human body measurement on a large scale.

Disclosed is an electronic payment system based on a cloud data processing technology. The electronic payment system based on the cloud data processing technology comprises terminal equipment, a cloud server, a payment server and a bank server. The terminal equipment is suitable for sending payment confirming information to the cloud server, wherein the payment confirming information carries order form information, a payment account of the user, verifying information of the user and identification data of the terminal equipment; the cloud server is suitable for verifying the order form information, and submitting payment requests to the payment server after verification is passed through, wherein the payment requests at least carry payment amount, payment objects, a dealing number associated with the order form information, the payment account, the verifying information and the identification data of the terminal equipment; and the payment server is suitable for acquiring a bank account corresponding to the payment account based on the binding relations between the stored payment account and the bank account and the identification data of the terminal equipment, and finishing payment through the bank account and the bank server after the verifying information is verified and passed through. The technical scheme is that the electronic payment system based on the cloud data processing technology can ensure safety of electronic payment and convenience of the electronic payment.

A system and method is disclosed aggregating and organizing a user's cloud data in an encompassing system, and then exposing the sum-total of that cloud data to application programs via a common API. Such a system provides rich presence information allowing users to map and unify the totality of their experiences across all of their computing devices, as well as discovering other users and their experiences. In this way, users can enhance their knowledge of, and interaction with, their own environment, as well as open up new social experiences with others.

A system comprises an encoder configured to compress attribute information and / or spatial information for a point cloud and / or a decoder configured to decompress compressed attribute and / or spatial information for the point cloud. To compress the attribute and / or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. In some embodiments, a bit stream structure may be used to communicate compressed point cloud data. The bit stream structure may include point cloud compression network abstraction layer (PCCNAL) units that enable use of groups of frames (GOFs), frame, and sub-frame signaling of patch information. Such a bit stream structure may permit low delay streaming and random access reconstruction of point clouds amongst other applications.

The invention discloses an automatic three-dimensional measuring method for a high-precision blade of an aviation engine. The automatic three-dimensional measuring method comprises the following steps of (1) rectification: performing rectification on a design coordinate system of a design model and a measurement coordinate system of a workpiece entity; (2) path planning: planning a motion path of a distance sensor in a measuring process by using a data processing device so that a measured region of the workpiece entity is in a measurement range of the distance sensor; and (3) automatic measurement: sampling a front region and a reverse region of the workpiece entity by using the distance sensor to obtain a complete surface profile of the workpiece entity. The distance sensor serves as a measuring terminal, and position information of surface points of the measured region can be acquired; and moreover, by a three-axis motion mechanism, measurement on different regions of the workpiece entity can be realized, measured cloud data of points of density of a local range are automatically fused to the same coordinate system, and complete precise measurement on a workpiece and quality testing operation on the workpiece entity are realized.

A method, computer program product, and system for sharing cloud data resources among associated users. Upon receipt of a request from an associate of a primary user to share a cloud data resource, a sharing profile of the primary user is evaluated to determine if the associate is permitted to share the requested resource, and if so, the requested resource is made available to the associate. The shared cloud data resource can be a database application, data object, data storage resource, or a portion thereof.

The invention discloses an optimal route selection method for overhead transmission line route. Onboard lidar equipment is adopted to acquire laser point cloud data and aerial digital photo data of the transmission line route corridor range; the onboard lidar data is processed after the wave filtering and the sorting of the laser point cloud data, and the points of the ground surface are made into a digital elevation model with high precision; then data processing is carried out by utilizing the data of the digital elevation model with high precision and ortho-rectification is carried out to the aerial photo by utilizing the internal and external orientation elements of the aerial digital photo to generate digital orthophoto maps; through the overlying of the digital elevation model and the digital orthophoto maps, the tridimensional visualization of the transmission line route corridor can be realized to optimize the transmission line route selection; finally prearrangement of power pole and power pole arrangement are carried out according to the data of plane cross sections. The route selection platform of the invention has simple operation and lifelike tridimensional scene, thus being convenient for full roaming and multi-view observation and greatly improving the efficiency of the inner plane cross section survey operation. Compared with the optimal route selection technology based on the aerial photographing measuring method, the efficiency of the inner plane cross section survey operation can be improved by about 75 percent.

Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires repeated scanning. Further disclosed is a system for automatically optimizing point cloud data quality.