4results about How to "Avoid handling errors" patented technology

This specification provides one or more embodiments of a service deployment system and a service invocation method. The system may include: multiple service products providing the same service; the multiple service products using different data versions when providing the service; a first service discovery module, configured to determine a target service product from the multiple service products upon receiving a service invocation request for the service, so as to provide the target service through the target service product; each service product includes: multiple service applications depending on the same data version, and multiple second service discovery modules; each service application is configured to perform a portion of the service processing; each second service discovery module is associated with a service application using the same data version and is configured to select the associated service application to perform the corresponding service processing when the service product is invoked.

This application discloses a method, apparatus, and device for processing image materials, relating to the field of image processing technology. It can finely divide the text and background portions of an image material, avoiding processing errors caused by large-scale image restoration. The method includes: receiving an image material; obtaining text regions from the image material; generating a mask for the text regions; dividing the text regions into bright and dark regions using the average grayscale value of the text regions, with the bright and dark regions corresponding to the text and background portions respectively; identifying the correspondence between the bright and dark regions and the text and background portions respectively; merging the masks of all text regions in the image material using the correspondence to generate a mask set for the image material; and processing the image material using an image restoration algorithm based on the mask set to obtain the restored image material.

The utility model relates to the technical field of chains, in particular to a chain plate chamfering device of a transmission chain with a double-side bending structure, which comprises a box body, a driving air cylinder, chamfering equipment, a first motor and a second motor, the driving air cylinder is fixedly connected to the inner wall of the box body, and the movable end of the driving air cylinder is fixedly connected with the side wall of the chamfering equipment. The chamfering equipment is in contact with the inner top wall of the box body, a placing plate is arranged in the box body, connecting rods are fixedly connected to the two side walls of the placing plate, and the first motor is fixedly connected to the side wall of the box body. By integrating a plurality of automatic steps of electromagnet adsorption, motor driving rotation, bidirectional lead screw transmission, support plate lifting, chamfering equipment fine adjustment and the like, the full-automatic processing flow from chain plate placement to chamfering completion and scrap discharge is realized. Therefore, the links of manual operation are greatly reduced, and the production efficiency is remarkably improved. The design of the multiple chain plate grooves in the containing plate allows the multiple chain plates to be treated at the same time, and the treatment efficiency is further improved.

The invention discloses a multi-source heterogeneous data standardization processing method and terminal based on meta-model adaptive matching, and relates to the technical field of data processing. Obtaining a multi-source heterogeneous data set containing original data units of different sources and structures, and recording data sources and collection scene attributes of the multi-source heterogeneous data set; performing pre-adaptive adjustment on a preset meta-model library based on the attributes to generate a pre-adaptive meta-model library; extracting multi-dimensional structural features from the original data unit, and carrying out multi-round adaptive matching on the multi-dimensional structural features and templates in the pre-adaptive meta-model library to generate a matching result and an optimization suggestion; calling a data conversion rule according to a matching result, and performing dynamic standardized conversion on the original data unit in combination with optimization suggestions to generate a standardized data unit and a conversion process record; and collecting data to establish a standardized data set, and performing association analysis to generate a processing result report and a meta-model library optimization scheme. According to the method, the accuracy and efficiency of standardized processing of the multi-source heterogeneous data are improved.