2046 results about "Cloud database" patented technology

The invention relates to an artificial intelligence early warning system. The system comprises an intelligent Internet of Things and risk factor data acquisition system (100), and a risk factor management system (200), a cloud computing device (300), a cloud storage device (400), a cloud database (500), and an artificial intelligence early warning operation system (600), an artificial intelligenceearly warning server (700), an internet + distributed early warning police booth (800), a five-level artificial intelligence early warning system (900), a four-level artificial intelligence early warning system (1000), a three-level artificial intelligence early warning system (1100), a two-level artificial intelligence early warning system (1200) and a one-level artificial intelligence early warning system (1300). The artificial intelligence early warning system of the present invention collects, compares, analyzes, deduces, evaluates the risk factors, and carries out the cloud computing, cloud storage, graded alarming and prevention and control, so that all-weather 24-hour monitoring on monitoring points around the police box is achieved, a user can share information, the utilization rate of information resources is increased, and the safety guarantee is increased for maintaining the stability of the borderlands.

The system and method described herein may leverage active network scanning and passive network monitoring to provide strategic anti-malware monitoring in a network. In particular, the system and method described herein may remotely connect to managed hosts in a network to compute hashes or other signatures associated with processes running thereon and suspicious files hosted thereon, wherein the hashes may communicated to a cloud database that aggregates all known virus or malware signatures that various anti-virus vendors have catalogued to detect malware infections without requiring the hosts to have a local or resident anti-virus agent. Furthermore, running processes and file system activity may be monitored in the network to further detect malware infections. Additionally, the network scanning and network monitoring may be used to detect hosts that may potentially be participating in an active botnet or hosting botnet content and audit anti-virus strategies deployed in the network.

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.

A method, system and computer program product is provided achieving database sharing by providing an interface to contribute a database and a set of resources to a resource pool in a first cloud environment. The interface further allowing a user to input parameters identifying a database, a set of resources, a set of authorization credentials, and a sharing policy. The interface further comprising responsive to the user using the interface and providing the interface parameters which identify the database, the set of resources, the set of authorization credentials, and the sharing policy, adding the database, the set of resources, the set of authorization credentials, and the sharing policy to the database resource pool in the cloud environment, sharing the database, the set of resources, according to the sharing policy, and utilizing the set of authorization credentials.

The invention discloses a block chain-based online taxi-hailing service system. The system includes a traffic cloud database, a traffic cloud artificial intelligence system (TAI) and a mobile client. With the block chain-based online taxi-hailing service system adopted, a decentralized, trustless, collectively maintained, asymmetric cryptography reliable database basic infrastructure and underlying internet protocol can be provided for traffic cloud; and a mobile SaaS (Software-as-a-Service) application pattern, a distributed computing normal form and a group intelligence model which can establish high-degree connections for travelers based on time stamp, achieve travel resource allocation consensuses and provide services according to demands can be realized.

The invention discloses a digital twin intelligent monitoring system and method for an unmanned fully mechanized coal mining face of a mine. The system for realizing the method is composed of a physical entity, a digital twin body, an intelligent gateway, a cloud server, a cloud database, a 5G base station, a machine vision device, a communication interface, a network switch and a video terminal.According to the method, a digital twin model is constructed, and perception analysis, analogue simulation, iterative optimization and decision control are carried out by using a convolutional networkdeep learning algorithm based on a three-dimensional visual virtual scene; real-time monitoring, intelligent sensing, accurate positioning and health prediction of the remote physical space mine unmanned fully mechanized coal mining face are achieved through the virtual space digital twin unmanned fully mechanized coal mining face based on data twinning and data driving. The problems of non-uniform communication interfaces, weak equipment integration capability, poor video monitoring image processing real-time performance and the like of the existing monitoring system are solved, and the real-time performance, the accuracy and the robustness of the intelligent monitoring system for the unmanned fully mechanized coal mining face of the mine are improved.

Systems and methods for cloud-based social surveillance are disclosed. At least one mobile robot patrol a certain surveillance area and capture data content through various function modules. A computing device coupled with each robot collects and sends the data to a cloud-based analytics platform via network for surveillance real-time or near-real-time analysis. A cloud-based analytics platform is comprised of at least one cloud server, at least one cloud database, communication network, and user interface. Authorized users access the information related to their corresponding predetermined surveillance environment inputs and / or analytics of the inputs within the system via a user interface and / or override commands or updates generated based on the analysis.

A method for dynamic management of one or more cloud database nodes is provided. The method enables gathering information related to usage of one or more cloud database nodes. The method further enables comparing time required by the one or more cloud database nodes for responding to one or more requests with a predetermined threshold. Furthermore, the method enables provisioning one or more new cloud database nodes or removing one or more new cloud database nodes based on at least one of: the gathered information, the comparison and a combination thereof.

A cloud-based system is disclosed including at least one local client device communicatively coupled, via an intermediate network, with a server device having an information processing, organization, and management engine, and further including distributed local and cloud databases spread across separately owned user accounts. The information processing, organization, and management engine includes one or more information processing, organization, and management blocks responsive to selections by the owner of content and other users of the system to control access to and use of content by users of the system.

Provided are a high-voltage circuit breaker opening and closing time online monitoring apparatus, a smart multi-dimensional big data analyzing expert system for a high-voltage circuit breaker in a power grid, and methods therefor. The opening and closing time online monitoring apparatus includes a circuit breaker opening and closing events database, a circuit breaker opening and closing time online monitoring module, and a human machine interaction interface. Data in the circuit breaker opening and closing events database is derived from a SCADA and a measurement and control apparatus thereof, a circuit breaker phase selection opening and closing apparatus, a relay protection apparatus and a relay protection information system, and a fault recording apparatus and a fault recording system of each of a substation and a converter station. The circuit breaker opening and closing time online monitoring module includes various modules, and cloud databases for such online monitoring are created.

The invention relates to a mass data resource management frame under a cloud environment, which comprises a physical storage layer, a mass storage net, a data conversion layer, a data management layer, a safety management layer, a resource combination layer and an application layer, wherein a related cloud database supports and stores data which is converted from other data sources, such as the THCloud DB (Database) system which developed by Tsinghua University in China. The mass data resource management frame under the cloud environment can realize the unified management and organization to isomeric mass resources under the cloud environment, and provides a set of complete solution for mass and isomeric data organization and management under the cloud environment.

A cloud computing service to securely process queries on a database. A security device and method of operation are also disclosed. The security device may be provisioned with a private key of a subscriber to the cloud service and may have processing hardware that uses that key, sequestering the key and encryption processing in hardware that others, including operating personnel of the cloud service, cannot readily access. Processing within the security device may decrypt queries received from the subscriber and may encrypt responses for communication over a public network. The device may perform functions on clear text, thereby limiting the amount of clear text data processed on the cloud platform, while limiting bandwidth consumed in communicating with the subscriber. Such processing may include formatting data, including arguments in a query, in a security protocol used by the cloud platform.

The invention discloses an order monitoring method and a device. The order monitoring method comprises steps of obtaining order parameters, wherein the order parameter at least comprises order quantity in a preset time and an order logistics parameter, responding to the fact that the order parameter exceeds the preset parameter threshold range, performing alarming and prompting on following one monitoring object or multiple monitoring objects which comprise an order hot city, an order hot area, an order state and a transport capacity state, wherein the parameter threshold is obtained on the basis of the history order data, a cloud database or the manual configuration. The order monitoring method can prompt the order manager to notice or process the abnormal order and improves the working efficiency of the order manager.

The invention discloses a wearable device and method for intelligent monitoring and early warning of chronic diseases. The device includes a wearable equipment terminal, a user mobile terminal and a cloud server; the wearable equipment terminal transmits collected physiological signals, motion data and location information processed through a data signal processing module to the user mobile terminal through the wireless communication module; the user mobile terminal includes a wireless communication module, a data storage module and a data processing module; the data processing module is internally provided with an evaluation and prediction model, data in the data storage module is called for evaluating and predicting chronic diseases of users through the evaluation and prediction model in real time, and the evaluation and prediction result is sent to a user interaction interface; the cloud server includes a cloud database and an evaluation and prediction model update module, the cloud database is used for storing the data evaluation and prediction result sent from the user mobile terminal, and an updated personalized evaluation and prediction model is sent to the user mobile terminal to update the evaluation and prediction model.

The invention relates to the technical field of cloud databases, in particular to a virtual access management method of a heterogeneous database. According to the virtual access management method of the heterogeneous database, a data control processing framework which comprises a client, a front end and a server side and a functional unit which is oriented to the process and is based on components are provided, component access control management of a heterogeneous database system based on users, roles and the permission is introduced, the process of platforms, the process of resources, the process of channels and the like are accomplished, heterogeneous data source registration, virtual database object registration and virtual resource access are achieved, sharing access management of the heterogeneous database is accomplished, database access details and heterogeneous system multi-source performance are shielded, the uniform data standards and uniform access interfaces are provided, transparent access to data sources is supported, and sharing and uniform management of data resources of a plurality of independent service systems are achieved. The virtual access management method of the heterogeneous database solves the data sharing access problem caused by heterogeneous factors such as the server side, an operating system, a database management system and data structures, and can be used for virtual access management of the heterogeneous database.

The invention provides a low-code application software development system and method. The system comprises a development platform, an operation platform and a cloud database, and the development platform is in communication connection with the cloud database and used for establishing a model required by application operation according to a predefined function module, instantiating the establishedmodel and storing the established model in the cloud database in the form of structured data; and the operation platform is in communication connection with the cloud database and is used for acquiring the model instance stored in the cloud database, analyzing and operating the structured modeling data in the model instance through a corresponding engine, rendering an application system page and expressing service logic to obtain the application system. The application modeling structured data is analyzed and operated through the engine group of the operation platform, the corresponding application system is efficiently rendered in real time, the processes of compiling, packaging, deploying, operating and maintaining are not needed, and delivery can be completed only through a small numberof service function tests.

The invention discloses a system, equipment and a method used for identifying and intercepting bundled software. The system comprises an acquirer, a first identifier, a second identifier and a third identifier, wherein the acquirer is configured to acquire an event of creating a new process by current process at a client end and obtain the related information of the new process; the first identifier is configured to match the new process with a first local feature library at least comprising the specific feature information of the known bundled software according to the related information of the new process, identify the new process as the bundled software if the matching operation is successful and input the new process to the second identifier if the matching operation is unsuccessful; the second identifier is configured to match the new process with a second local feature library comprising the common feature information of the known bundled software according to the related information of the new process, and identify the new process as suspicious bundled software if the matching operation is successful; and the third identifier is configured to query in a cloud database at a server end at least according to a process creation relation between the new process identified as the suspicious bundled software and the current process, and identify if the new process is the bundled software.

The invention discloses a multisource big data fusion-based city space holographic map establishment method. The method comprises the steps of mapping green quantity vegetations, municipal engineering, physical environments (including a city noise environment, a city wind environment, a city heat environment and a heat island effect), industry organization POI, people-vehicle activities and humanistic feeling evaluations in a city full-space coverage range to a cloud database through different graphic layers; and intuitively and dynamically displaying and outputting different types of data space features in combination with city space forms, so that city systems can perform real-time detection, and city plan design engineering practice is facilitated. Based on a cloud data end, massive data can be processed, and real-time quick query and display can be carried out; and by superposing multisource big data and city space form data in a same digital map system, city coordinate system-based seamless connection collection of multisource data interfaces and simulated dynamic display of space features are realized.

The invention provides a product source tracing, after-sale and operation and maintenance service system based on a two-dimensional code. The system comprises a two-dimensional code generation system, an integrated management platform, a cloud database and an application terminal. The two-dimensional code generation system generates a unique dynamic two-dimensional code matched with a product. The integrated management platform reports fault information by scanning the two-dimensional code of the fault product. The integrated management platform dispatches a maintenance task and inputs a maintenance record in the cloud database. The cloud database stores all the information and the records relevant to the product. The objective of the invention is to provide the product source tracing, after-sale and operation and maintenance service system based on the two-dimensional code. The unique dynamic two-dimensional code matched with the product is generated so that one set of product has one code, the forged and fake commodities can be eliminated, channel transshipment can be prevented, the product sales process can be controlled, and the product maintenance service can be optimized through an equipment maintenance and repair module.

The invention provides a cloud database encryption method, system and device. The cloud database encryption method comprises the following steps that a data uploading client receives a public key in more than one key pair from a data application client, wherein the key pair is generated from the data application client and corresponds to different calculation varieties; the data uploading client preprocesses data plaintexts, encrypts the preprocessed data plaintexts by adopting the public key in the corresponding key pair according to the possibly performed calculation variety to obtain a data ciphertext and sends the data ciphertext and a preprocessing mode of the data plaintexts corresponding to the data ciphertext to a cloud database. The cloud database encryption method, system and device provided by the invention can be used for improving the security of the database and support multiple operations of numeric type enciphered data.

The invention discloses a gravity sensing and image identifying double-control unmanned goods selling system which comprises a cloud server, an unmanned goods selling cabinet and a client. The cloud server comprises a first communication module, a cloud processor, a cloud database, a cloud image identifying module and a cloud weight identifying module; a second communication module, a control module, a weight sensing module, an image shooting module, an electronic lock and an identity identifying code are arranged in the unmanned goods selling cabinet; the control module is electrically connected with the second communication module, the weight sensing module, the image shooting module and the electronic lock; a third communication module and a payment module are arranged in the client. The gravity sensing and image identifying double-control unmanned goods selling system has the advantages that the cloud server is used as a data transmission, storage and analysis processing tool, unmanned goods selling and big data are perfectly combined with one another, accordingly, the cost of the unmanned goods selling cabinet can be reduced, the information processing capacity can be improved, and the use experience of users can be enhanced.

The invention relates to the technical field of computer application, in particular to a cloud database system used for distributed heterogeneous data resource integration. The cloud database system is composed of a metadata service node, a service node, a front-end computer node and a production computer node, the metadata service node provides a system service to realize overall management of the whole cloud database system, the service node mainly provides a data service, various heterogeneously-distributed databases or file systems on the front-end computer node serve as data sources of the cloud database system, and the data sources are accessed to the inside of the cloud database system through an access mechanism provided by the cloud database system; a production system writes data into a database system on the production computer node in real time, and then the data are periodically copied on a front-end computer by a data synchronization module of the cloud database system. The cloud database system solves the problem of integration of distributed heterogeneous information resources and can be applied in a distributed-type heterogeneous database.

The invention discloses a digital twinning intelligent monitoring system for an unmanned fully mechanized excavation face of a mine. The system is composed of a physical entity, a digital twinning body, an intrinsic safety type intelligent gateway, a cloud server, a cloud database, an intrinsic safety type 5G base station, a machine vision device, a communication interface, a network switch and avideo display terminal. According to the method, a digital twinning model is constructed, and perception analysis, analogue simulation, iterative optimization and decision control are carried out by utilizing a deep learning algorithm based on machine vision and edge calculation; based on data twinning and data driving, real-time monitoring, intelligent sensing, accurate positioning and health prediction of the remote physical space mine unmanned fully mechanized excavation face are achieved through the virtual space digital twinning unmanned fully mechanized excavation face. According to theinvention, the problems of non-uniform communication interfaces, weak equipment integration capability, poor video monitoring real-time performance, fuzzy video images and the like of the existing monitoring system are solved, and the real-time performance, accuracy and robustness of the intelligent monitoring system for the unmanned fully mechanized excavation face of the mine are improved.

The invention provides an electronic invoice service system based on a cloud computing technology and a big data technology. The electronic invoice service system can automatically acquire the true electronic commerce trade information of a service registered user, can extract invoice content data information, can perform automatic processing according to the extracted invoice content data information to generate an electronic invoice of the service registered user, and can send the electronic invoice to a tax cloud database for storage as a reference and a certificate for electronic invoice service management. Therefore, the truth and completeness of the invoice content data information in the generated electronic invoice are ensured, a false invoice is eliminated, an electronic invoice service application platform returns the invoice content data information of the electronic invoice, which is correspondingly acquired from a tax information processing platform, to the service registered user, the service registered user performs transmission and transfer of electronic invoice associated service, the electronic invoice is prevented from being falsely used or maliciously tampered, and the tax control safety of the electronic invoice associated service in the transmission and transfer links is ensured.

A cloud-based system is disclosed including at least one local client device communicatively coupled, via an intermediate network, with a server device having an information processing, organization, and management engine, and further including distributed local and cloud databases spread across separately owned user accounts. The information processing, organization, and management engine includes one or more information processing, organization, and management blocks responsive to selections by the owner of content and other users of the system to control access to and use of content by users of the system.

The invention discloses a smart parking system and method based on block chains, and relates to the field of smart transportation. The smart parking system comprises a mobile client side, a parking cloud artificial intelligence (PAI) and a parking cloud database. The mobile client side is used for a parking user and a parking manager to read and write a parking cloud database; the mobile client side uses automated scripts to order parking resources to the parking cloud artificial intelligence PAI through identity authentication information, the current position and the parking plan within a future time of block chain broadcast or multicast vehicles based on an encryption algorithm and a decentralized protocol; the parking cloud artificial intelligence PAI actively senses information of driving-in and driving-out of a parking lot of a vehicle through a license plate, the parking resources of the parking cloud artificial intelligence PAI are timely updated, and real-time fee deduction isconducted through online payment or bank cards bound to the mobile client side of the vehicle. By means of the smart parking system and method based on the block chains, data resources of all parkinglots are shared, and the parking fee of a vehicle owner, the investment of the parking lot and the waiting time for the vehicle owner to enter and exit from the parking lot can be effectively saved.

Computer-implemented methods, systems and computer-readable media for providing a query layer for cloud databases comprise importing data into said cloud by at least one of the computing devices, converting at least one of the queries over row-store database into a query over column-store database by means of cost based query optimizer and retrieving said data from the column-store database based on said query by at least one of the computing devices.

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 provides an image recognition and recommendation method based on neural network depth learning. The method obtains pictures and classification from an image database, inputs to a convolution neural network, trains the neural network through repeated forward and backward propagation, improves image recognition accuracy, and extracts a 20-layer neural network model. By using this model, the object recognition and classification is carried out by collecting static pictures. Results are recognized, and by combining with the personalized characteristics of the input, the input probability of interest is analyzed. By using the machine learning model based on the effective recognition and classification of the material cloud database, and using the recommendation system algorithm, the predicted content material is pushed to the image inputter for cognitive learning. The method of the invention has the advantages of high image recognition rate, multiple recognition types and accurate content recommendation, and can be applied to the electronic products of a computer with a digital camera, a mobile phone, a tablet and an embedded system, so that people can photograph and recognize the objects seen in the eyes and actively learn the knowledge of recognizing the objects.