2104results about How to "Implement storage" patented technology

The invention discloses a digital multimedia information transmission platform, which comprises an acquisition system, a manufacturing system, a media resource system, a management system and a release system, wherein the acquisition system consists of control equipment, outside network material receiving server and an foreign signal, studio signal and magnet tape material acquisition and collection subsystem; the manufacturing system consists of a program editing system, a program examination system, a background packing and synthesizing system and a resource manager; the media resource system consists of a media resource cataloging and searching work station, a transcoding server, a database server, a storage management and migration server and a system management working station; the management system consists of a uniform user identification system and a network management system; the release system serving as an external interface module of a multimedia center encrypts finished products in multiple formats and executes related release according to outside service demands; and the platform is an integrated production line of digital media contents and also a digital media resource comprehensive service system platform and can realize overall media resource sharing.

The invention relates to a smart micro-grid system. The smart micro-grid system comprises a local control layer, a network communication layer, a master station layer and a software layer, wherein the local control layer is in communication with the master station layer through the network communication layer, and the master station layer is in communication with the software layer through an information interaction bus. The smart micro-grid system integrates photovoltaic power generation, wind power generation, multiple types of energy storage systems multiple in capacity and modern power electronic, communication and control technologies. While high-reliability power supply is achieved, optimized allocation of renewable energy resources and high-reliability power supply to loads in a micro-grid are achieved; the interaction relation between the micro-grid and an external power grid is reflected correctly, and the effect of distributed energy on improvement of power supply reliability is fully shown; operation data of photovoltaic, wind power and energy storage systems and the micro-grid systems can be collected and stored, and the operation data are accumulated for researches on key technologies about micro-grids. The smart micro-grid system solves the problems that an existing micro-grid system is low in energy utilization ratio and poor in environmental benefit, electric energy quality and power supply reliability.

The invention discloses an ecological monitoring information management and pre-warning system for river-communicating lakes. The system comprises a hydrological module, a water quality and water ecology module, a river beach ecology system module, a species diversity module, a multi-element information mining module and a risk assessment pre-warning and analysis module, wherein the risk assessment pre-warning and analysis module comprises a low-water-level pre-warning module, a species diversity pre-warning module and a eutrophication risk assessment and pre-warning module. According to the system, modern information management functions of data and information electronic storage, data dynamic acquisition and transmission, intelligent query, information display and the like can be realized; the effect of analyzing heterogeneity and diversity of data and ecological characteristics of the data is good; and a monitoring result can be subjected to automatic determination and real-time pre-warning.

The invention discloses a data processing method. The method comprises the steps of determining a mapping relation between a user field and a database field in the to-be-stored data according to a preset mapping rule when a data storage request including to-be-stored data is received, wherein the to-be-stored data are unstructured data; converting the to-be-stored data into index data according to the mapping relation, wherein the index data are reflected in the form of database field; and storing the index data in a database. According to the method, the mapping relation can be stored, when the data query request is received, conversion between the user field and the database field is carried out and the data query is realized. The embodiment of the invention also provides a corresponding data query method and data processing system. Therefore, a data solution scheme which is easy to use, expand and maintain is provided, the method is suitable for processing of the unstructured data, and thus the usage cost of a user is reduced and the user experience is improved.

The invention relates to a networked real-time monitoring-oriented numerically-controlled machine tool machining process parameter acquiring method. According to the method, networked real-time monitoring of the machining states of multiple numerically-controlled machine tools with different control system types and different communication interface modes is achieved based on one server, real-time acquisition and recording of technological process parameters of FANUC, SIEMENS, HEIDENHAIN system machine tools can be achieved based on program names of NC programs and rules with a specific postprocessing format, and automatic transmission, storage and reusing of technological process parameters are achieved. The method is characterized in real-time performance, visibility, integrity, accuracy and the like. Real-time monitoring of the states of the numerically-controlled machine tools, full display of alarm number-based automatch alarm information and automatic transmission, storage and reusing of technological process parameters are achieved based on the spacecraft product numerically-controlled processing flow and the normalized numerically-controlled program format, and integrated application of a digital workshop information system is achieved on the basis.

The invention provides a data collection system based on a Zookeeper cluster. The system comprises a message queue establishing unit and the Zookeeper cluster. The message queue establishing unit is used for establishing different message queues according to different data sources. The Zookeeper cluster is used for monitoring the states of a plurality of collectors, and enabling any message datum in the message queues to be collected by only one collector, wherein each message queue corresponds to a persistence node of the Zookeeper cluster. Each collector obtains message data under the coordination of the Zookeeper cluster, and corresponds to the temporary node of the persistence node. Correspondingly, the invention further provides a data collection method based on the Zookeeper cluster. According to the technical scheme, different collection modules can be arranged according to different data sources, different storage strategies are set according to different storage requirements, and diversity of data collection and storage is achieved.

The invention relates to a voice recognition method, a voice recognition device and a voice recognition system. The voice recognition method comprises the following steps: preprocessing picked voice data to obtain preprocessed voice data; extracting voice features in the preprocessed voice data; matching the voice features with a local voice feature database, and if the matching is unsuccessful, sending a first voice recognition request to a target server; receiving a first voice recognition response which includes the matching result of the voice features and the local voice feature database through the target server returned by the target server and sending a second voice recognition request to the target server when the first voice recognition response presents that the matching is unsuccessful, and receiving a second voice recognition response returned by the target server, wherein the second voice recognition response comprises a voice recognition result obtained after the preprocessed voice data is sent to a manual translation terminal to be manually translated. According to the technical scheme of the embodiment of the invention, the voice recognition rate of an intelligent terminal is greatly improved.

The invention relates to a method and a device for software online updating and downloading acceleration. The device comprises a client end online updating process device, a client end shared guard process device, a tracking server device, a updating server agent device and a plurality of updating server devices, stored contents in each updating server device are completely same to form an updating server pool in an annular queue, and real-time synchronization is realized via implementing a synchronizing primitive operation for version control by a version warehouse on each updating server device. The method is suitable for a situation of a large concurrency of client ends, the occupied updating server source is small, pressure of the updating servers is relieved, and the efficiency and service quality of the software online updating are improved.

The invention discloses an intelligent Operation and Maintenance Analysis System Based on Multi-source Heterogeneous Data Fusion, Machine Learning and Customer Service RobotBased on multi-source heterogeneous data fusion, In the intelligent operation and maintenance analysis system of machine learning and customer service robot, the analysis and processing module uses the multi-source heterogeneous data fusion technology to preprocess and normalize the real-time data. After the correlation analysis, the model matching is used to output the results, and the root cause of the problem is determined by root cause analysis. The model management module is used for acquiring data for machine learning and outputting various reasoning models to the analysis processing module and the recommendationdecision module. The recommendation decision module recognizes the context and matches the corresponding subsequent processing behavior according to the policy. The invention is based on the multi-source heterogeneous data fusion technology and the operation and maintenance mode of machine learning, which gives consideration to the compatibility problem of the big data, improves the automation degree of the operation and maintenance, guarantees the network safety and the service quality, simultaneously has certain prediction ability, and reduces the related operation and maintenance cost. Theoutput mode of the customer service robot further realizes the intelligence of operation and maintenance.

The invention specifically relates to an individualized learning-oriented educational resource recommendation method and system. The method comprises the following steps of: S1, acquiring basic characteristic data of learners and establishing a resource interestingness model and a learning style model of the learners according to the basic characteristic data, wherein the basic characteristic data comprises identity information, learning behavior records and educational resource operation records of the learners; S2, establishing a learner characteristic model according to the resource interestingness model and the learning style model; S3, calculating the similarity between different learners or the similarity between different educational resources according to the learner characteristic model; and S4, generating a target learner-oriented educational resource recommendation result according to the similarity between different learners or the similarity between different educational resources. Through the technical scheme provided by the invention, the target learner-oriented education resource individualized recommendation can be realized.

The invention relates to an underwater hybrid-power robot platform which comprises a housing, a mainframe cabin and a motion control cabin. The outer contour of the housing is in shape of bionic fish,one end of the housing is connected with a bionic fish tail structure, and propellers are arranged on two sides of the housing. The side, close to the front end of the housing, of the mainframe cabinis connected with a camera, and an electronic compass and a controller are arranged in the mainframe cabin. A pitching gravity center adjusting mechanism is installed in the motion control cabin. Thepropellers, the electronic compass and the pitching gravity center adjusting mechanism are electrically connected with a battery cabin. The underwater hybrid-power robot platform adopts the hybrid-power driving design of the propellers and the bionic fish tail structure, and the operating capability of a robot in a complicated ocean current environment is greatly improved. The underwater hybrid-power robot platform can carry multiple types of detection devices, can meet complicated task demands, can performs operations such as water quality extraction, detection and photography, can sample and detect water at different depths through a water pumping cabin and has a wide application prospect.

The invention relates to a transformer oil chromatographic detection system and a detection method thereof, comprising a monitoring module, a detection module, a control module, an acquisition and conversion module, a data management module and a data analysis module; wherein, the monitoring module is connected with the detection module, the control module is separately connected with the monitoring module, the detection module and the acquisition and conversion module, the acquisition and conversion module is connected with the detection module, the detection module is connected with the acquisition and conversion module and the data management module in turn, the data management module is connected with the data analysis module and the data analysis module is operated by a user. Aiming to engineering rescue vehicles, the invention applies a self-made source gas, an automatic control function of quantitative oil-taking, a high effect vacuum degassing and an integrated technology of oil-taking, degassing and detection, thus reducing the volume, saving the source and shortening the detection and analysis circle. The invention can be fixed neatly on a car and is suitable to field work for timely discovering the power transformer latent fault and effectively tracking.

The invention discloses a photovoltaic generation and large public building integration wireless remote networked monitoring system. Intelligent wireless monitoring devices are arranged at the output ends of each group of photovoltaic array and the input and output ends of each group of inverter, form an electric quantity data wireless acquisition network with a ZigBee central node, and converge acquired data to the ZigBee central node, and the node is connected and communicates with an RS485/RS232 converter and a ZigBee/general packet radio service (GPRS) wireless gateway to realize GPRS/Internet network-based electric quantity data wireless remote real-time transmission. Therefore, a monitoring center remotely monitors electric quantity information output by each photovoltaic array and the electric quantity information output in the grid-connected working of the inverters and a common power grid, an electric quantity database of a photovoltaic generation system is established, and a good informational foundation is laid for the scientific utilization of renewable energy sources.

The invention discloses a method of automatically generating a power device monitoring information table. With the help of a standard data source end maintenance rule, a monitoring signal naming rule, and a signal type, number and acquisition agreement rule for different device types and wiring modes, a monitoring signal analysis expert database based on forward reasoning is built, each monitoring information access expert decision making database is built for each manufactor, each device type and each wiring mode, storage and association of power device monitoring information points are realized, and with the help of the expert decision making database, with a device ID as a radiation source, a substation three-remote information table and a final monitoring information table are generated automatically. Limitation on monitoring information compilation and auditor professional background and acquisition rule understanding deviation are solved, problems that monitoring information between different substrates is hard to standardize and unify, and repeated auditing reduces working efficiency are solved, fusion of primary equipment, protection, automation, communication, and direct current knowledge is realized, and correct and standard monitoring information acquisition can be ensured.

The invention relates to a motor speed-regulation system energy-saving controller based on super-capacitor energy storage and a control method, and belongs to the field of motor energy-saving speed regulation, aiming at solving the problems of an existing motor speed regulation system that the operation efficiency is low and the energy can be effectively stored and reused. The motor speed regulation system energy-saving controller consists of a bi-directional DC/DC (direct-current/direct-current) power converter and a super-capacitor energy storage module, the high-voltage end of the bi-directional DC/DC power converter is connected with a direct-current bus of the alternating current-direct current-alternating-current structural motor driving device, and the low-voltage end of the bi-directional DC/DC power converter is connected with the super-capacitor energy storage module. The bi-directional DC/DC power converter adopts a multiple structure and comprises an IGBT (insulated bipolar gate transistor) bridge-type circuit, a filter inductance device, a current detection circuit, a direct-current bus voltage detection circuit, a super-capacitance voltage detection circuit, an A/D (analog/digital) converter, a DSP (digital signal processor) controller and an FPGA (field programmable gate array). The motor speed regulation system energy-saving controller can be applied to the fields of oil pumping machines, elevators, hoisters and the like.

The invention relates to an automation storage yard laser measurement device and an application method thereof. In the invention, data acquisition can be realized by using a synchronous control collector which controls a plurality of sensors, a high speed laser scanner, a horizontal displacement sensor, a horizontal rotation sensor, a vertical displacement sensor and a video sensor. The collected data is preliminarily processed by a controller. The completely ineffective data is filtered. And after GPS module time service marking is used, the data is transmitted to a background server through an integrated 3G wireless communication module. Through upper computer software, a three dimensional coordinate calculation algorithm is used to calculate a three dimensional coordinate. A three dimensional modeling algorithm is used to carry out modeling. And then a material volume to be measured can be calculated. For a problem that working time sequences of the sensors are inconsistent, an annular buffer area technology is used to realize asynchronous data acquisition and storage. A dynamic interconnection problem of the 3G router equipment can be solved. A feasible scheme is provided for remote wireless control and implementation costs can be saved.

The invention discloses an Internet of Things data sharing system and method based on a block chain. A set of trust mechanism is established by jointly maintaining an account book through a pluralityof nodes by adopting a block chain technology; therefore, the account book data has the characteristics of openness, transparency, traceability, no tampering and the like, automatic and intelligent data processing can be realized by utilizing an intelligent contract technology formed by automatic scripts, and meanwhile, the problem of block chain storage limitation can be well solved by combiningan IPFS (Internet Protocol File System). And the requirement of data sharing is highly met. A layered and chained network architecture is adopted in the system, a local network is locally constructedin each member mechanism to realize local storage of data, and a global network is constructed among the member mechanisms to realize data sharing among the members, so that the security of data sharing and the expandability of the system are effectively improved.

The invention discloses an intelligent medical data storage method based on a multi-level blockchain system architecture. According to the method, an existing single-chain or double-layer blockchain system design is abandoned, a multi-layer blockchain system architecture is provided based on a Hyperledger Fabric platform to solve the storage problem of medical data, efficient management of large-scale medical data is achieved, and the efficiency and expandability of the system are greatly improved. Meanwhile, a dual-key encryption system combining public key encryption and symmetric encryptionis adopted, storage and sharing of medical data are achieved under the condition that privacy of the patient is protected, and great convenience is provided for medical institutions, patients and scientific research institutions.

The invention relates to a novel portable PLC (Programmable Logic Controller) programming device which comprises a main control module, a storage module, a power management module, a communication interface module, a human-computer interface module and a CAN (Control Area Network) interface module, wherein the system carries out multitask and communication management on the basis of the main control module and edits, processes, monitors and debugs a PLC user program; the power management module realizes power selection; the storage module stores system and user programs, data and dynamic running space; the communication interface module extends UART (Universal Asynchronous Receiver/Transmitter) and USB interfaces; the human-computer interface module provides an interactive interface; the CAN interface module programming device can be connected with any CAN node to access to CAN field bus; and the main control module is connected with the rest five modules respectively, the power management module and the communication interface module are respectively connected with a PLC main computer, and the communication interface module is connected with an upper computer. The novel portable PLC programming device can work in an off-line state, directly communicates with the upper computer and debugs, operates and monitors the user program of the PLC main computer.

The invention provides a steel pipe magnetic powder inspection fluorescent image detection apparatus and detection method. The detection apparatus comprises a steel pipe motion control system, a camera, an ultraviolet flash lamp containing an ultraviolet optical filter, a fluorescent optical filter installed before the lens of the camera, a magnetic powder image electric control system connected with the steel pipe motion control system and a monitoring computer connected with the magnetic powder image electric control system, wherein the magnetic powder image electric control system is also connected with the camera and the lens, and the monitoring computer is connected with the camera and a production management system. With the detection apparatus and detection method, the problem of poor imaging quality caused by weak magnetic powder fluorescence, insufficient brightness, complex steel pipe shapes, insufficient depth of field and motion smear of a steel pipe is overcome, fluorescent steel pipe images with high brightness, good size resolution, distinct gradation, low noise and high quality are obtained, and displaying, storage, retrieval and playback of fluorescent steel pipe images, detection of suspected defects and further confirmation of flaw detection defects of the steel pipe can be realized.