3results about How to "Effective service" patented technology

Provided are a hair cutting assembly and a cleaning apparatus. The hair cutting assembly includes: a housing; a roller brush connected to the housing and capable of rotating relative to the housing along a rotation axis; a blade assembly connected to the housing; and a comb tooth connected to the housing, and the blade assembly is adjacent to the comb tooth relative to a circumferential direction of the roller brush, and when a plane on which the rotation axis is located rotates along with the roller brush in a first rotation direction, the plane passes the comb tooth and the blade assembly in sequence.

The application provides a civil aviation vertical field language model training method and reasoning method and device, and relates to the field of artificial intelligence. The model comprises a plurality of task agents, a plurality of low-rank matrices, a knowledge database and a language model as a base model; the method is based on a task to construct an external knowledge database; a structured prompt word text is generated by using a task agent module, a standardized reasoning result is matched for the generated prompt word text; the training data of each task is constructed by using the structured prompt word text and the standardized reasoning result; the low-rank matrix parameters are trained by using the training data of the task, and the trained low-rank matrix parameters corresponding to the task are obtained; the trained low-rank matrix parameters corresponding to the task and the language model as the base model are integrated as the trained fine-tuning language model corresponding to the task; the scheme combines the existing general language model to construct the civil aviation vertical field language model which can quickly adapt to market changes and can effectively serve the whole ecological field.

This invention discloses a method for analyzing the mobility of original formation water in gas reservoirs, comprising the following steps: S1, acquiring target well and target layer image data, and constructing a three-dimensional multi-pore structure model; S2, restoring the original formation conditions to the three-dimensional multi-pore structure model; S3, establishing a gas-water two-phase displacement mathematical model based on the lattice Boltzmann method, and coupling the two to obtain a coupled model; S4, determining the original state of the gas reservoir, setting evolutionary solution conditions, and performing evolutionary calculations on the coupled model based on the evolution equation to obtain a three-dimensional multi-pore structure model containing both gas and water phases; S5, performing multi-angle slice analysis, classifying and analyzing the mobility of the water phase, and obtaining the distribution of mobile water. This method does not require closed coring operations and avoids subsequent high-cost experiments such as nuclear magnetic resonance and core displacement, effectively reducing research costs, providing accurate and reliable prediction results, greatly shortening the testing and analysis cycle, and realizing the evaluation of formation water mobility under the original conditions of gas reservoirs.