5results about How to "Quick verification" patented technology

The application relates to an FPGA prototype verification method and system of a smart meter chip, and belongs to the field of integrated circuit testing and electric power metering. The method aims to solve the problems of ASIC design transplantation to an FPGA platform, large difference between a verification environment and a real power grid, and lack of a real-time closed-loop verification mechanism. A technical scheme efficiently transplants the design to the FPGA by optimizing ASIC front-end synthesis constraints and adopting a netlist-level IP replacement strategy; a hardware-in-the-loop system is constructed, which comprises a real power grid signal source, a separation device simulation front end, an FPGA verification board, a high-precision standard electric energy meter and a host computer. The system can generate a real power grid excitation and realize synchronous collection of prototype output and the standard meter, real-time error analysis and dynamic adjustment of parameters, thereby forming a closed-loop verification. The application significantly improves code transplantation efficiency, provides a highly consistent real power grid verification environment, and greatly improves verification iteration and defect positioning speed.

The application discloses a deep learning-based line vector map data zero watermark method, comprising the following steps: learning deep features of line elements based on a transformer network, and extracting high-dimensional features of line elements in a line vector map data set; aggregating the high-dimensional features of all line elements into a global feature through a feature aggregation network; converting the global feature into a binary hash code through forward propagation of a hash layer; generating a zero watermark based on XOR operation between the binary hash code and a copyright image, and storing the zero watermark in a database of a copyright center. The application learns deep features of data as digital fingerprints in a manner of simulating human cognition, realizes strong differentiation, high robustness of copyright authentication of line vector map data under the premise of ensuring zero distortion of original data, and has the advantages of absolute non-loss, strong differentiation ability, excellent robustness, high security and good practicability.

The invention discloses an intelligent engineering network transaction data management system based on a block chain, and relates to the technical field of block chain technology application, and the system comprises a data processing module which obtains original transaction data and processes the original transaction data to generate a standard transaction data packet; the index construction module is used for processing the standard transaction data packet based on an improved Merkel-Parene tree algorithm and constructing a data index structure containing a state mapping relation; the block generation module is used for verifying and packaging the data index structure by using a preset consensus mechanism to generate a transaction data block; the network consensus module broadcasts the transaction data block to a block chain network node to trigger synchronous verification; and the account book storage module is used for persistently storing the transaction data blocks to the distributed account book and updating the global state after the consensus is reached. According to the system, efficient, safe and traceable management of intelligent engineering network transaction data is realized, and the state retrieval speed and the system processing efficiency are improved.

A method and apparatus for canary deployment of an application includes: sequentially performing canary deployment of the target application on node databases in each center of a distributed database; each time a canary deployment is completed on a node database, obtaining the execution status of a first business request; if the execution meets the corresponding preset requirements, selecting the next node database in a different center from the currently deployed node database, and continuing the canary deployment process; wherein, the first business request is a business request routed to the previously deployed node database and requiring data access from the currently deployed node database. The canary deployment method provided in this application embodiment can quickly verify the execution status of business requests between node databases in different centers, thereby promptly identifying problems in data access between databases for the deployed application, greatly reducing deployment risks.

The application provides a vehicle parameter identification method and system considering measurement error and wheelbase error, comprising the following steps: constructing a target function based on a mathematical model of a target vehicle, considering measurement error and wheelbase error; obtaining mechanical information of the target vehicle and setting calibration parameters; collecting motion information of the target vehicle in real time according to the calibration parameters; optimizing the target function based on the mechanical information and the motion information to obtain an optimization result; updating target vehicle parameters by using the optimization result; and repeating the step to perform rolling update on the target vehicle parameters. According to real-time measured data, the application constructs a residual equation containing sensor measurement error and vehicle parameter error, and uses a nonlinear least square method to solve the sensor measurement error and the vehicle parameter error, thereby improving the accuracy of vehicle parameter identification.