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

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.

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 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 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.

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.