5results about How to "Realize configurable" patented technology

The invention discloses a data processing method and system, computing equipment and a storage medium, and relates to the technical field of data processing. The method is executed in a data processing server, the data processing server comprises a scalable data pool, and the method comprises the following steps: receiving original data; judging whether the original data is business-related data, if the original data is the business-related data, sending the original data to a scalable data pool, and loading a data pool component chain; the original data is processed through a data pool assembly chain to obtain a data processing result, the data processing result is stored in a scalable data pool, and the data pool assembly chain comprises a data pool configuration assembly, a dynamic scalable assembly, a margin alarm assembly and a logic calculation assembly; and respectively sending a data processing result to a service system and a data storage device for storage. According to the technical scheme of the invention, efficient, scalable and configurable data processing and access can be realized.

The present invention discloses a decoding method and device applied to a semi-parallel LDPC decoder, including: obtaining LDPC decoding associated parameters, and configuring the associated parameters to the semi-parallel LDPC decoder; obtaining first information of the data to be decoded, and using the first information to perform check node update processing to obtain updated check node values; and performing variable node update processing on variable nodes based on the updated check node values, row weight information, and index position information of valid check nodes to obtain updated variable nodes; performing decoding check processing based on the updated variable nodes to obtain decoding results. The present invention realizes the configurability of decoder associated parameters, and the independence of check node updates and variable node updates makes row and column updates synchronized, thereby achieving the purpose of reducing resource overhead and having a wider application scenario.

The invention discloses a device for generating a monitoring system through a configuration file. The device comprises a configuration file automatic generation module, a CBB driver library, a sub-function module configuration unit and an integration unit. The configuration file automatic generation module is used for automatically generating a configuration file through configuration options of the upper computer; the CBB driver library is used for completing writing of specific driving functions of different processor hardware interfaces and establishment of the driver library and providing a data source for driving of the whole system; the sub-function module configuration unit calls corresponding drivers from a CBB driver library according to the generated different configuration files and generates function modules required by the monitoring system; and the integration unit is used for putting each functional module into the whole architecture of the monitoring system according to the generated configuration file, completing the monitoring function of the whole monitoring system, and completing the online upgrading of an application software program at the same time.

The invention relates to a product appearance detection technology, discloses a part appearance detection method and device based on neural network fitting and a storage medium, and solves the problem that appearance detection cannot be efficiently and accurately carried out on a product with a special-shaped complex structure in the prior art. According to the scheme, firstly, appearance image data, including image data with normal appearance and image data with abnormal appearance, of a part sample are obtained; according to the appearance image data of the part sample, marking the contained target features; then, according to the appearance image data of the part sample and the marked target features, a feature extraction model is obtained through neural network fitting; calculating output features based on the feature extraction model according to appearance image data of a to-be-detected part; and finally, according to the output characteristics, obtaining an appearance detection result of the to-be-detected part. The method is suitable for appearance detection of products with special-shaped complex structures.