44results about How to "Meet data processing needs" patented technology

The invention relates to an integrated parallel ground preprocessing system for multi-satellite remote sensed data. The system comprises a hardware layer, a system supporting layer, a data processing and expanding layer, a task managing and dispatching layer and a user processing function combining layer, wherein the hardware layer provides hardware support for the preprocessing system; the system supporting layer provides a software support environment for the system; the data processing and expanding layer is provided with abstract function interfaces and public function combinational logics of various satellites and various sensors; the task managing and dispatching layer is used for realizing task dispatching and flow management; and the user processing function combining layer provides simple and practical flow combination interfaces for users. The preprocessing system has the advantages that the users can conveniently and uniformly expand processing, memory and network communication capacities of the system without modifying the processing program, thereby increasing the operating speed of the program; when new satellite remote sensed data enter the system and require processing, archiving, product production and distribution, function expansion can be completed only by adding processing modules of corresponding data into the system according to a certain template.

The invention discloses a method and device for loading database text table data. The method includes the steps that a to-be-loaded target text table in a database is determined, wherein the target text table comprises N text files, and N is a positive integer larger than or equal to 1; N first queues are established in a memorizer, and a one-to-one mapping corresponding relation exists between each first queue and the corresponding text file; each text file is subjected to read operation, and then data read out from each text file is written in the corresponding first queue; M second queues are established in the memory, wherein M is a positive integer larger than or equal to 1; the data is sequentially read out from the N first queues, and the read-out N data is simultaneously copied in each second queue, wherein the data in the M second queues can be read respectively and used for corresponding concurrence requirements.

The invention discloses a knowledge graph algorithm application platform based on web visualization. The platform comprises a knowledge graph visual analysis plug-in library, a graph analysis instancelibrary, an application case library and a knowledge base, and the knowledge graph visual analysis plug-in library is composed of a program module with knowledge graph processing and displaying functions and provides an API for the outside; the application instance displays the knowledge graph by calling an API and using a method in the knowledge graph visualization plug-in. The application caselibrary stores and displays the knowledge graph of each industry, so that the entity relationship of knowledge of each industry can be intuitively insighted. The knowledge base is used for storing thearranged domain knowledge. The knowledge graph visualization technology is applied, deep visualization mining analysis of various data and knowledge graphs is achieved, the logic relation between data information is displayed vividly, multi-dimensional quantization of data values is achieved, development codes are simplified, the knowledge graph visualization development efficiency is improved, and the method has good application prospects.

The invention discloses an FPGA (Field Programmable Gate Array) heterogeneous accelerated computing device and system. The device comprises an FPGA chip and a communication interface, wherein the FPGA chip comprises an SVD (Singular Value Decomposition) computing circuit for realizing an SVD algorithm; the communication interface is used for being connected with a host and performing data communication with the host; the FPGA chip is used for acquiring data to be computed sent by the host via the communication interface, computing the data to be computed by using the SVD computing circuit to obtain a corresponding computing result, and then returning the computing result to the host via the communication interface. SVD computation corresponding to the SVD algorithm is realized based on the FPGA chip, that is, SVD computation is realized based on an FPGA heterogeneous computing platform, and the FPGA heterogeneous computing platform has the characteristic of high-speed computation, so the realizing SVD computation based on the platform can greatly improve the speed of SVD computation and then improve the computing performance of the SVD computation to meet increasing data processing demands.

The invention provides a system-on-chip. The system-on-chip comprises a micro-control unit and a field programmable gate array, wherein the micro-control unit comprises a micro-control unit kernel circuit; a first input / output port which is coupled with the micro-control unit kernel circuit; the field programmable gate array comprises: a second input / output port, coupled to a first input / output port and for coupling off-chip resources; and a USB interface unit which is coupled with the micro-control unit kernel circuit. The system-on-chip formed by the MCU and the FPGA is realized, the interface performance of software and hardware interconnection is improved, the USB interface can be supported, and the function diversification is realized.

The invention provides a tertiary public hospital performance assessment index system dynamic monitoring method and system in the field of hospital performance assessment. The method comprises the following steps: step S10, constructing a performance assessment index system; S20, configuring a standardized data interface; S30, configuring a calculation formula of quantitative indexes and an evidence file of the qualitative indexes; S40, configuring a manual input function of the quantitative indexes and a file uploading function of qualitative indexes; S50, setting display modes of the quantitative indexes and the qualitative indexes; S60, setting a standard value and a target value of the quantitative index; and S70, setting national monitoring indexes and reporting templates. The methodhas the advantages that a set of supervisory system which is completely matched with the tertiary public hospital performance assessment work leader group of the state health and health committee to supervise the tertiary public hospital performance assessment content is constructed, so that the hospitals can adjust the work arrangement in time, and meet the annual performance assessment.

The invention relates to the technical field of computer application, and discloses a network security test system based on embedded artificial intelligence and an implementation method. The network security test system comprises a distributed computing module based on middleware, an analyzer component, an intranet network layer penetration test component, a Web and operation system penetration test component and a report display component. According to the invention, embedded artificial intelligence is introduced to take over and automatically execute related safety test processes. Compared with conventional artificial intelligence, related equipment of the embedded artificial intelligence does not need to access a cloud data center through networking to carry out large-scale calculationto realize the artificial intelligence, all AI algorithms are executed locally, data processing requests with high throughput can be better coped with, and real-time human-computer interaction and decision control can be carried out; In addition, due to the fact that software and hardware are successfully integrated, the embedded artificial intelligence is easy and convenient to operate, the threshold of a safety test can be better lowered, and data processing requirements under various severe environment conditions can be better met.

The invention discloses a gateway device applied to a power grid micro-sensor system. The gateway device comprises a Bluetooth low-energy-consumption (BLE) communication module, an upstream communication module, a power module, a network clock module and a processor, wherein the BLE communication module is connected with a micro-sensor and the processor and is used for transmitting grid base operation data acquired by the micro-sensor to the processor; the upstream communication module is connected with a cloud data platform and the processor; the power module is connected with the processor and is used for supplying power to the processor; the network clock module is connected with the processor and is used for acquiring network standard time; and the processor is used for transmitting the grid base operation data and the network standard time to the cloud data platform by virtue of the upstream communication module. According to the gateway device disclosed by the invention, long-distance data transmission between the micro-sensor and the cloud data platform is realized, the requirement of the cloud data platform on the acquisition time of the grid base operation data is met, andthe working efficiency is improved.

The invention discloses a system for achieiving data processing acceleration based on an FPGA and an acceleration method thereof. The system comprises: an SRIO bus module; an SRIO multi-channel DMA interface module; a DMA module; a user acceleration algorithm module; a SerDers module; and an optical fiber module. The method comprises the following steps: step 1, achieving a user acceleration algorithm module; step 2, achieving an SRIO bus module; 3, achieving a DMA module; 4, enabling the DMA module to perform data flow direction control management; and 5, connecting the plurality of DMA modules with the plurality of user acceleration algorithm modules in a one-to-one correspondence manner. According to the system and the acceleration method thereof, a hardware acceleration function is achieved through programmable logic, so that a highly customized data processing requirement can be met, and a data processing task is achieved by using a gate-level circuit, so that the processing speedcan be greatly increased; in addition, the FPGA chip is directly connected with the processor through the SRIO bus, and compared with a PCIe bus, the FPGA chip has more flexible data transmission andtopological configuration.

An embodiment of the invention discloses a data processing method, comprising: acquiring to-be-accessed target source data; temporarily storing the target source data in a transition storage medium; and processing the target source data which is temporarily stored in the transition storage medium, access speed of the transition storage medium being larger than that of a target storage. Using the method, the to-be-accessed target source data can be temporarily stored in the transition storage medium whose storage speed is relatively fast, so that access speed of the target source data is improved, and high-speed data processing requirement is satisfied.

The invention discloses a data co-processing method based on big data and edge computing and an edge cloud platform, and relates to the technical field of big data and edge computing. When the methodis applied, the method comprises the following steps of: firstly, generating resource distribution diagram data according to obtained real-time resource distribution information and carrying out iterative updating by adopting data flow information; secondly, detecting whether a first target graph node with a set state identifier exists in the resource distribution graph data or not in real time; and finally, when the first target graph node is detected, generating and issuing a target instruction to a second target graph node, so as to enable the second target graph node to share physical resources of the second target graph node with the first target graph node according to the target instruction. Thus, when the physical resources of the edge terminal corresponding to the first target graph nodes are insufficient, physical resource sharing among multiple edge terminals can be realized, so that the distribution processing efficiency of the data traffic of the edge terminals is improved, and the existing data processing requirements are met.

The invention discloses a data processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of monitoring automatic driving data of a drivable device, and determining a first data level and a first time interval of the monitored automatic driving data; correspondingly storing the data information of the automatic driving data with the generation moment in the first time interval and the first data level in a data information table; and when data deletion is executed, deleting the automatic driving data one by one according to a preset deletion sequence according to the data levels in the data information table and the generation moments in the corresponding data information until the data storage space meets a presetrequirement. According to the embodiment, data and disk states can be maintained regularly in a simplified and convenient mode, network requirements and disk pressure generated by redundant data arereduced, the data are reserved or deleted conditionally, disks with different capacities are compatible, the automatic driving scene processing requirement is met, and the automation degree of data processing in the scene is improved.

The invention relates to a sensorless driving system for a three-phase motor of a four-switch inverter. The sensorless driving system for the three-phase motor of the four-switch inverter is characterized by comprising a four-switch inverter, wherein an input signal of the four-switch inverter is direct-current voltage; a four-switch full-bridge inverter circuit comprises two capacitors C1 and C2 and four controllable switches S1-S4; the inverter is provided with three voltage output ports which are respectively connected with three voltage input ends of a motor. According to the technical scheme, the three-phase full-bridge inverter is formed by the four-switch inverter and two capacitors, an ARM chip with low cost is used as a master control processor, three-phase symmetric voltage signal output of the inverter can be realized by adopting a voltage compensation scheme, and meanwhile, the problem of fluctuation of neutral-point voltage of capacitors can be solved; and the position and rotating speed of the motor are evaluated by adopting a sensorless algorithm, the robustness of a control system can be reinforced, the structure is effectively simplified, and the cost can be saved by about 35 percent.

The invention relates to a laser parameter detection device, in particular to a laser power meter and a method for calibrating a sampling coefficient of a large optical system based on the laser power meter. The problems that when an existing laser power meter is applied to large optical system sampling coefficient calibration in an industrial field, the structure is not compact, installation and testing in the industrial field cannot be achieved, long-distance transmission cannot be achieved, and the calibration cost is high are solved. The laser power meter comprises a to-be-measured laser optical sampling module, a photoelectric conversion analog circuit module and a digital circuit module which are directly connected in sequence; the device is of an integrated design, is compact in structure, is easy to integrate, facilitates the installation, debugging and maintenance of an industrial field, and can be applied to the calibration of a large-scale optical system sampling coefficient. In the calibration process, the influence of background light is deducted, the interference of background stray light on sampling coefficient measurement is weakened, and the whole calculation method is simple, convenient to realize online and short in processing time. And meanwhile, due to synchronous sampling, the interference of light source fluctuation on sampling coefficient measurement can be reduced.

The invention provides a ship welding management and control system and method based on a communication network. The system comprises at least two welding machines and a server. A real-time database is arranged in the server; the welding machine comprises an inverter and an acquisition module, and the acquisition module comprises: a data acquisition module used for acquiring real-time working parameters of the welding machine; the data receiving module that is used for receiving the welding posture, the welding seam gap width, the welding seam surface flatness and the welding seam molten drop falling opportunity, sent by the real-time database, of the welder; the operation module that is used for calculating the welding quality of the welding seam when the real-time acquisition frequency is not higher than the acquisition frequency set value; and the resource scheduling module that is used for sending the data which are acquired by the real-time acquisition frequency higher than the acquisition frequency set value to the real-time database and the decision operation main body through the network when the real-time acquisition frequency is higher than the acquisition frequency set value, so as to realize resource allocation. According to the invention, the transmitted data volume is increased, the data processing capability is strong, the evaluation model is more accurate, and the real-time evaluation of the welding seam quality is realized.

The embodiment of the present invention discloses a method and device for processing Ethernet MAC frame data. The method includes: receiving MAC frames of different service types; dividing the received MAC frames of each service type into several received MAC frames according to a preset length. Data blocks, where each data block contains a complete MAC frame or / and a part of the MAC frame; in each system cycle, MAC frame data detection is performed on the data blocks corresponding to different service types according to a preset sequence, and the detection results are It is stored in the corresponding storage area to solve the problem that the data transmission rate of the MAC layer processing circuit of the current Ethernet equipment is relatively small, and it can only support a single service or fixed service, and cannot meet the needs of the development of Ethernet equipment.

The invention discloses a data processing method and device, wherein the method comprises the following steps that data to be process is obtained; the single-time data target processing quantity is obtained according to the data processing time for the single-time data processing of the data to be processed; the data to be processed is processed according to the single-time data target processing quantity. The method and the device solve the technical problem of low data processing efficiency due to the existing data processing mode.

The invention provides a data processing script program running method and a data processing container, and the data processing container communicates with a data processing system, receives a data processing script program submitted by the data processing system and returns a script running result; the data processing container comprises a starting module, a safe sandbox module, a third-party library management module, a container log module, an external data interface module, a script execution engine module, a script execution interface module and a container management module. The method has the advantages that the process CPU of the data processing container is arranged; according to the method and the device, the use access limits of the memory, the file, the network, the socket andthe program library are limited, so that the running safety, fault tolerance and controllability of the data processing script program are improved, the complex, flexible and personalized data processing requirements are met, and the influence of the data processing script program on a data processing system is reduced.

The embodiment of the invention discloses a currency exchange method and device which can be applied to the field of big data or finance. Comprising the following steps: constructing a currency exchange micro-service module by using a currency exchange function in advance; after first data corresponding to the first currency is obtained, calling a currency exchange micro-service module to carry out currency exchange on the first data; and exchanging the first data corresponding to the first currency into second data corresponding to the second currency to realize currency exchange service. That is to say, according to the embodiment of the invention, the currency exchange function is utilized to construct the currency exchange micro-service module, and the currency exchange logic is unified; the node can directly call the currency exchange micro-service module to realize currency exchange; currency exchange codes of different programming languages do not need to be additionally added into a plurality of data processing scripts; the currency exchange function can be realized only by calling the unified currency exchange micro-service module; the probability of code repetition and redundancy of the data service system is reduced, and the efficient data processing requirement is met.

The invention discloses a CAN bus-Ethernet data conversion device for battery testing. The CAN bus-Ethernet data conversion device comprises a bidirectional conversion device, and a power supply, an Ethernet interface and a CAN card which are connected with the bidirectional conversion device, the bidirectional conversion device is composed of a communication parameter configuration module, a CAN data analysis module, a CAN data receiving and transmitting module, a data mapping and packaging module and a UDP data receiving and transmitting module, the number of the CAN cards is multiple, the CAN cards are connected with the bidirectional conversion device through a PCI bus or a USB bus, and the CAN cards are connected with the CAN communication aviation plug. The invention further discloses a data bidirectional conversion method. According to the invention, continuously increasing and changing CAN acquisition and control equipment data processing requirements of customers can be met, so that the flexible expansibility of power battery charging and discharging test equipment software is greatly improved, and a large number of development and hardware costs of such integrated design are reduced.

The invention provides a system on chip. The system on chip includes: a micro control unit core circuit; a first input and output port, connected to the micro control unit core circuit through a bus; and a field programmable gate array, including: a second input and output port, connected to the first input Output ports are connected and are used to connect off-chip resources. The invention realizes the on-chip system of MCU and FPGA, and improves the interface performance of software and hardware interconnection.

This specification discloses a data collaborative processing method based on big data and edge computing and an edge cloud platform related to the technical field of big data and edge computing. When applying this method, firstly, the resource distribution map data is generated according to the obtained real-time resource distribution information, and the data flow information is used to iteratively update, and secondly, whether there is a first target map node with a set status identifier in the resource distribution map data in real time , and finally when the first target graph node is detected, generate and issue a target instruction to the second target graph node, so that the second target graph node can share the physical resources of the second target graph node with the first target graph node according to the target command node. In this way, when the physical resource of the edge terminal corresponding to the first target graph node is insufficient, the physical resource sharing of multiple edge terminals can be realized, thereby improving the distribution processing efficiency of the data flow of the edge terminal, and further satisfying the existing data processing requirements.

This application relates to a video data processing method, device, system and storage medium in a monitoring system, which belongs to the field of computer technology. The method includes: receiving data processing requests sent by multiple client terminals; summarizing and processing multiple data processing requests , get the target data processing request set; process the video data collected by multiple monitoring devices according to the target data processing request set, and get the data processing result; send the data processing result to the corresponding client; The increase in the number of terminals, the problem that the monitoring system consumes more resources; because the video data collected by the same monitoring device is only processed once according to the same data processing type after summarizing the data processing requests, the consumption of system resources can be reduced, and at the same time It can meet different data processing needs.

The invention discloses a knowledge map algorithm application platform based on web visualization. The platform includes a knowledge map visualization analysis plug-in library, a map analysis instance library, an application case library and a knowledge base, wherein the knowledge map visualization analysis plug-in library consists of It is composed of program modules for knowledge graph processing and display functions, and provides APIs externally; the application example uses the method in the knowledge graph visualization plug-in by calling the API to display the knowledge graph; the application case library stores and displays the knowledge of various industries The map can provide intuitive insight into the entity relationship of knowledge in various industries; the knowledge base stores the organized domain knowledge. The present invention uses knowledge map visualization technology to realize in-depth visual mining and analysis of various data and knowledge maps, visually display the logical relationship between data information, realize multi-dimensional quantification of data value, simplify development codes, and improve the efficiency of knowledge map visualization development. It has a good application prospect.

The present invention provides a wideband dual-mode digital receiver and a signal processing method thereof, including a shared signal processing module for providing subband output signals of each antenna; a correlation processing module for performing correlation operations on the subband output signals of each antenna, Obtain relevant result data; the beamforming module is used to perform beamforming processing on the sub-band output signals of each antenna to form beams; the shared signal processing module includes: the analog-to-digital conversion module is used to convert analog broadband signals into digital broadband signals; delay compensation The module is used for delay compensation; the channelization processing module is used for obtaining digital narrowband signals; the phase compensation module is used for phase compensation; the frequency selection module is used for selecting subband output signals of different frequencies from the digital narrowband signals. The invention can simultaneously observe the radio source in two modes of multi-beam synthesis and synthetic aperture correlation, reduces the data processing hardware requirement of the receiver, and improves the performance of the radio telescope array at the same time.

Embodiments of the present invention provide a method, system, client, and server for generating an unstructured grid. In this solution, in the first aspect, the client generates an initial spatial grid, and combines the surface grid in the initial spatial grid with the The outer surface mesh of the space is replaced. The data processing volume of these processes is small, and the client can meet this data processing requirement. In the second aspect, the client transmits the initial space mesh to the server, and the server transmits the merged surface mesh and the outer surface mesh of the merged space to the client, instead of transmitting all the subdivided space meshes, the initial space mesh, the merged surface mesh Both the grid and merged space outer surface meshes have smaller amounts of data, so the amount of data transferred between client and server is smaller.

An embodiment discloses a terminal, comprising a first acquisition unit used to acquire to-be-accessed target source data, a temporary storage unit used to temporarily store the target source data in a transition storage medium, and a processing unit used to process the target source data which is temporarily stored in the transition storage medium. The access speed of the transition storage medium is larger than that of a target storage. Using the terminal, the to-be-accessed target source data can be temporarily stored in the transition storage medium whose storage speed is relatively fast, so that access speed of the target source data is improved, and high-speed data processing requirement is satisfied.