7results about How to "Improve preprocessing efficiency" patented technology

This invention discloses a rapid negative pressure pretreatment machine for fruits and vegetables, comprising a fixed frame and a negative pressure chamber. The negative pressure chamber is fixedly installed inside the fixed frame. A cold air assembly is installed at the bottom of the inner wall of the fixed frame, and a conveyor belt is fixedly installed near the top of the inner wall of the fixed frame to transport fruits and vegetables into the negative pressure chamber. A reciprocating moving assembly is fixedly installed on the conveyor belt. This invention solves the problems of uneven precooling and blind spots in existing negative pressure pretreatment machines for fruits and vegetables. Through the linkage design of the reciprocating moving assembly and the cold air assembly, combined with the flipping action of the lever, two sets of symmetrically arranged cold air nozzles are located at the top and bottom of the conveyor belt, respectively. With the reciprocating swing and linear movement, and the lever flipping the fruits and vegetables, the upper and lower surfaces, sides, and contact parts of the fruits and vegetables can be fully contacted with the cold air, ensuring uniform cooling of the same batch of fruits and vegetables. This solves the problems of large differences in cooling rate and poor negative pressure treatment effect caused by traditional precooling.

This invention discloses a pretreatment device and method for printing wastewater based on dynamic winding, comprising a tank and a top cover disposed on the top of the tank. A filter cylinder is disposed inside the tank, an inlet pipe is disposed on the top cover, an outlet is disposed on the side wall of the tank, and a drain outlet is disposed at the bottom. A rotating sleeve shaft is rotatably connected to the top cover, and a scraper is disposed on the side wall of the rotating sleeve shaft. A scraper blade is disposed at the end of the scraper blade, contacting the inner wall of the filter cylinder. A main shaft is rotatably connected inside the rotating sleeve shaft, and a multi-head reciprocating wire groove is formed on the side wall of the main shaft. A movable sleeve is movably connected to the main shaft, and the movable sleeve is threadedly connected to the reciprocating wire groove through a keyway or protrusion disposed in its inner hole. In summary, this invention, through a "scanning-sudden winding" dynamic winding mechanism, actively and efficiently captures and removes paper fibers from wastewater at the source, fundamentally solving the problem of filter clogging. It also achieves automated wastewater discharge and convenient replacement of the winding medium, significantly improving pretreatment efficiency, operational stability, and maintenance convenience.

The application discloses a construction safety hidden danger detection method and system based on a multi-modal large language model, which comprises the following steps: adopting a streaming multi-modal data acquisition strategy to synchronously collect text logs, image streams and sensor data of a construction site in real time; using an edge computing device to perform parallel preprocessing on real-time multi-modal construction safety data streams to eliminate inter-modal time inconsistency; constructing a multi-modal data feature correlation graph to identify and repair modal data anomalies caused by environmental interference in real time; performing real-time feature extraction and fusion on the preprocessed data streams, and completing rapid coding and identification of cross-modal hidden danger features through a sliding window mechanism and attention weight dynamic adjustment; based on the real-time feature fusion result, performing instant analysis through an online hidden danger detection method; and according to the real-time detection result, completing real-time visualization and tracking of the hidden danger, thereby achieving timely early warning and tracking management of the hidden danger.

The application discloses a video behavior key frame sampling method based on effective motion prior, and mainly solves the problems of large calculation resource requirement, high complexity and low robustness of the prior art. The implementation scheme is as follows: 1) extracting local motion information between adjacent frames of a video; 2) detecting abnormal event frames and adjusting corresponding local motion information; 3) normalizing local motion information of all frames and accumulating local motion information along a time dimension; 4) uniformly dividing accumulated motion information into multiple intervals; 5) selecting a key information frame from each interval, using the selected key frames in all intervals to form a frame subset, and completing key frame sampling of the input video. The application does not need to introduce additional network parameters, can select key information frames from a complex scene video, provides high-quality original video subsequence data for accurately identifying a target action category, and can be used for video auditing, intelligent security and sports action analysis.

This invention provides an AI-based multi-model collaborative intelligent screening and deep analysis method for multimodal data, comprising: differential preprocessing based on modal differences in multimodal samples, dynamically adjusting preprocessing parameters through sample metadata analysis; evaluating sample data quality using multi-dimensional indicators to obtain high-value data; using an importance and diversity coupled optimization strategy to screen high-value data to obtain effective samples; performing modal alignment on the screened samples to complete cross-modal feature fusion and generate a unified fused feature vector; performing multi-dimensional deep analysis on the fused feature vector to mine inter-modal correlation information, and combining domain transfer learning to achieve result generalization; evaluating the analysis results in real time based on preset indicators, and dynamically adjusting the core parameters of the entire process based on the evaluation results. The beneficial effects of this invention are: solving the problems of high screening cost, low accuracy, poor fusion effect, weak analytical capability, poor interpretability, and inflexible deployment in existing technologies.

This invention belongs to the field of electromagnetic simulation calculation and provides an electrically large-scale electromagnetic simulation method based on a hybrid algorithm for partitioned solution. First, the large-scale electromagnetic target is divided into solution regions according to component structure. For different algorithm solution domains, a domain decomposition method is used to decompose the hybrid algorithm solution matrix into subdomains, obtaining the hybrid algorithm solution matrix equation after domain decomposition. Then, for the hybrid algorithm solution matrix after domain decomposition, an outermost preprocessor is constructed using a block Jacobi preprocessing method, and an inner preprocessor is constructed using a multi-wavefront block incomplete decomposition method. Finally, multi-threaded parallel technology is used to iteratively solve the hybrid algorithm solution matrix equation, obtaining solutions for both the finite element solution domain and the integral equation solution domain. Based on this, this invention has advantages such as significant multi-algorithm fusion, high preprocessing efficiency, small memory footprint, and good parallel scalability, enabling efficient electromagnetic simulation analysis of electrically large-scale targets.

This utility model discloses a pretreatment device for granulation of recycled polyester products, comprising a frame, a conveyor shell, a first conveying unit, a second conveying unit, and a mixing unit. The conveyor shell is mounted on the frame, with an inlet at one end and an outlet at the other, the inlet being higher than the outlet. The first conveying unit, the second conveying unit, and the mixing unit are sequentially installed inside the conveyor shell in the feeding direction, with the inlet of the mixing unit located below the outlet of the second conveying unit. The mixing unit has an auxiliary agent inlet communicating with it. This pretreatment device enables the mixing of recycled polyester and auxiliary agents, facilitates feeding, and improves pretreatment efficiency.