6results about How to "Improve business value" patented technology

The invention provides a vulnerability priority determination method and device and an attack surface management system, and relates to the technical field of vulnerability processing. According to the method, the vulnerability risk analysis model compatible with the service attribute, the vulnerability attribute and the protection attribute is designed, so that the vulnerability risk score of the system which is low in service value and already executes the security protection strategy is reduced, and the vulnerability repair priority of the system is later; according to the method, enterprises can focus on high-service-value and high-availability vulnerability repair for protecting missing assets, the accuracy of vulnerability risk assessment is improved, and the protection efficiency is improved. Furthermore, for the score of each vulnerability risk assessment index under the protection attribute, the security protection coverage condition is considered, whether a security protection failure point (such as strategy configuration failure) exists or not, namely whether security protection can take effect truly or not, is considered in a more refined manner, the accuracy and reliability of security protection are improved, and the security protection efficiency is improved. And vulnerability protection of the system is more accurate and effective.

The present invention discloses a method and device for displaying business icons, and relates to the field of computer technology. A specific implementation of the method includes: determining the order and number of various types of display positions in a business icon display area; determining business screening rules corresponding to the various types of display positions; based on the number of the various types of display positions and the screening rules, determining a target business from a list of businesses to be displayed, so as to display the icon of the target business in the business icon display area in the order. By setting various types of display positions and corresponding business screening rules, this implementation can flexibly set the businesses displayed in the display area, provide users with a business display order that better meets user needs, and enhance business value and operational capabilities.

The invention discloses an intelligent data lake management and optimization system and method based on AI drive, and the system comprises a data acquisition module which is used for automatically collecting data from a plurality of data sources; the data preprocessing module is used for preprocessing the original data; the natural language processing module is used for performing deep analysis on the unstructured text data and extracting key business information and entities; the knowledge graph construction module is used for performing structured representation on entities and relationships in various types of data; the data classification and labeling module is used for automatically classifying and labeling the data entering the data lake; and the cross-source data association module is used for realizing intelligent association of the cross-source data. According to the method, key information can be rapidly extracted from a data lake, the utilization rate of data is greatly improved, an enterprise is helped to mine higher business value from existing data, and then business innovation and decision optimization of the enterprise are promoted.

This invention provides an intelligent inspection method, system, equipment, and medium for railway freight inspection, belonging to the field of railway freight inspection technology. The method includes: acquiring images of the freight cars using a line-scan camera array on both sides and the top of the track; performing spatiotemporal synchronization and adaptive parameter adjustment based on an encoder and a precise clock protocol; performing geometric correction, flat-field correction, motion compensation, and stitching on the images to generate a two-dimensional unfolded image of the freight car; using a deep learning-based freight car segmentation model to segment and number freight car instances, and extracting images of individual freight cars; finally, using a damage detection model integrating severity assessment to identify damage, outputting a structured result including damage category, location, confidence level, and severity score. This invention achieves non-contact, full-coverage, and high-precision intelligent inspection of freight cars, effectively improving inspection efficiency and automation levels.

The present invention discloses a device and method for pyrolyzing urban organic waste to produce high-grade hydrogen-rich synthesis gas, and specifically relates to the technical field of urban waste treatment. The device comprises a reaction tower with two upper and lower moving beds. The upper moving bed adopts an oxygen-deficient environment, which can ensure that the heteroatoms contained in the product of the pre-oxidation section are effectively escaped; the temperature and oxygen content are increased in the carbonization section of the lower moving bed, and the appropriate ratio of carbon / oxygen / steam is controlled at the same time, so that the hydrogen content of the hydrogen-rich high-grade synthesis gas can reach more than 99%. After the domestic organic waste is treated by the device and method of the present invention, on the one hand, it can be ensured that N, O, S, and Cl after dissociation all escape from the reactor as their hydrogen-containing compounds NH3, CO2 (H2CO3), H2S, and HCl gases, and can be completely removed when entering the deacidification tower, and no longer appear in the form of their oxides; on the other hand, after being treated by the two-step method, the obtained hydrogen-rich high-grade synthesis gas contains almost no non-flammable nitrogen, which greatly improves the utilization value of cracked combustible gas.

The application discloses a kind of bank merchant customer group-based digital operation method, by constructing unified data middle station, using dynamic label system and multi-dimensional weighted matching algorithm, realize from customer group screening, product adaptation, intelligent touch to the closed loop of effect attribution.It includes: based on the automatic trajectory tracking mechanism of life cycle stage, cross-channel reach conflict detection filtering model, and the operating state evaluation algorithm of fusion financial assets and collection behavior.The present application aims to realize customer operation mode systematization, operation direction digitization, customer value quantification and implementation tool intelligentization through digital technology, and solve the problems of insufficient maintenance personnel, customer fine classification difficulty, channel reach overall difficulty and delayed effectiveness feedback in existing bank merchant operation.The method significantly improves the precision and compliance of merchant operation.