6results about How to "High input-output ratio" patented technology

The utility model discloses an automatic buckle device of small opening end buckle of automobile ornament strip relates to the technical field of automobile parts automatic assembly equipment, and aims at solving the problems of low positioning precision, unstable buckling quality, poor product adaptability and complicated changeover debugging of existing ornament strip end buckle assembly. The device comprises a device bottom plate, a Z-direction support seat plate arranged thereon, a two-way adjustable Y-direction pinning unit, an X-direction supporting unit and a Y-direction buckling unit with a limiting guide; the workpiece is supported by the positioning groove, the pinning unit is inserted into the workpiece aperture for radial accurate positioning, the supporting unit axially locks the ornament strip end, and the buckling unit directionally compresses and combines the bending deformation part of the automobile ornament strip. The device realizes multidirectional cooperative positioning and accurate press fitting, significantly reduces the assembly defective rate, improves the assembly precision and buckling reliability, effectively improves the line changeover efficiency, is compatible with multiple specifications of products, has a simple structure and is convenient to maintain, and is suitable for the automatic batch assembly process of automobile ornament strip end buckle.

A recommendation method that enhances user behavior features using a large language model generates a semantic representation embedding vector for each item based on its name, category, and description, thus creating a semantic vector library for the items. A training sample library is constructed based on the dataset records. Each training sample includes user features, target item features, user's historical item interaction sequence features, and a label indicating whether there was an interaction. After constructing and training the recommendation model using the semantic vector library and the sample training library with a two-layer filtering approach, real-time recommendations are made online. This invention generates semantic representation embedding vectors for items by collecting their titles, descriptions, and reviews. By filtering and enhancing the sequence features of items based on the similarity between semantic vectors, the accuracy of the recommendation model's predictions is improved.

The invention provides a big data intelligent analysis early warning platform and method for the constructional engineering industry, and belongs to the technical field of building management, and the method specifically comprises the steps: determining the real-time update data of a concerned bidding company, and combining the distribution coincidence condition of the concerned bidding company in different constructional engineering projects to obtain the real-time update data of the concerned bidding company; determining that the prewarning processing strategy of the bidding company needs to be optimized; when the bidding company does not belong to the concerned bidding company, bid-winning project data of the bidding company is determined, and a data processing method of the bidding company is determined in combination with distribution data of associated bidding companies of the bidding company in different bidding projects; according to the invention, the data processing method and the project file are utilized to analyze and process the bidding risk condition between the bidding companies, and the early warning management method is determined according to the analysis data of the bidding risk condition of the bidding companies and the bidding risk identification data of the bidding projects of the bidding companies, so that the identification processing efficiency and reliability of the bidding risk are improved.

This invention relates to the technical field of nitrogen generation equipment, and more specifically, to a dual-tower nitrogen generation system, comprising a precooling module, a first purification module, a heat exchanger, a high-pressure nitrogen tower, a first subcooler, a first condenser-evaporator, a low-pressure nitrogen tower, a second condenser-evaporator, a high-purity oxygen tower, and a first reboiler. By setting up a high-purity oxygen tower connected to the low-pressure nitrogen tower, the entire system can not only utilize air to produce nitrogen products, but the high-purity oxygen tower can also utilize the liquid and gas in the low-pressure nitrogen tower to produce high-purity oxygen products. That is, the entire system can utilize air to simultaneously produce nitrogen products and high-purity oxygen products, making full use of air as raw material and improving the input-output ratio of raw materials.

The utility model provides a sesame cake recycling device. The sesame cake recycling device comprises a material suction device, a main pipeline, a first exhaust fan and an intermittent control device, the material suction device comprises a second exhaust fan, a branch pipeline, a hose connector, a feeding hose and a feeding head, the branch pipeline is connected with the main pipeline, one end of the main pipeline is a closed end opening, and the other end of the main pipeline is an open end; the first exhaust fan is mounted on the main pipeline at the downstream of the joint of the branch pipeline and the main pipeline, and an intermittent control device is further mounted on the branch pipeline. The first exhaust fan and the second exhaust fan act together to enable cake meal to be smoothly sucked into the branch pipelines from a barrel of the oil press, and the cake meal is conveyed to a recovery terminal after being converged into the main pipeline. The intermittent control device can prevent the two exhaust fans from being frequently started and stopped in the cake recycling process, operation is simplified, and the position of the feeding hose can be conveniently replaced. The sesame cake recycling device effectively solves the problems that existing sesame cake recycling efficiency is low, and operators are prone to being scalded, the cake recycling process is more efficient, safer and more stable, and the production efficiency is greatly improved.

The present application belongs to the technical field of file system data balancing, and particularly relates to a Lustre file system data balancing method based on multi-dimensional customized strategy, aiming to solve the problems of single balancing granularity, low efficiency and rigid strategy in the prior art. The method comprises the following steps: defining a multi-dimensional balancing strategy containing conditional dimensions, data value weight dimensions and priority assignment, and storing the multi-dimensional balancing strategy in a rule library; after triggering balancing by monitoring the system, obtaining file metadata and business associated data, matching the strategy, and calculating a business value evaluation value; combining the business value evaluation value and a preset weight proportion to calculate a file priority score; generating and dynamically optimizing a first-in first-out task queue according to the priority; and migrating files according to the queue order, and preferentially allocating system resources to high-priority tasks. The present application realizes precise balancing driven by business value, improves resource utilization efficiency and system adaptability, and ensures stable operation.