6results about How to "Avoid overprocessing" patented technology

The application relates to the technical field of underwater robot vision processing, and discloses a GAN-based underwater robot image real-time repairing and target identification method. The method acquires an original image sequence obtained by an optical sensor of an underwater robot, extracts degradation features of each frame of image, including scattering noise distribution, color distortion parameters and motion blur intensity. The original image sequence is input into a network, and based on the degradation features, a repaired image is generated frame by frame, and local structure consistency features and global semantic coherence features of the repaired image are extracted. A cascaded classifier is used for multi-scale target detection of the repaired image, local structure features and global semantic features are combined, and a target boundary box and a category label are output. According to the spatial distribution density of the target boundary box, the priority of the repaired area is dynamically adjusted, and the synchronous output of the repaired result and the target identification result is realized. The method can effectively improve underwater image quality and target identification precision.

This invention discloses a wastewater classification and separation system based on industrial wastewater recycling. The invention relates to the field of industrial wastewater treatment and resource recycling technology. The system includes a wastewater acquisition and pretreatment module, a multi-parameter real-time water quality detection module, a comprehensive pollution classification and determination module, a separation and control module, a classification storage and buffer module, a classification treatment module, a recycling intelligent scheduling module, and a data acquisition and intelligent management module. This invention utilizes a collaborative working mechanism of multi-parameter real-time water quality detection and comprehensive pollution classification and determination. It employs a piecewise linear dimensionless scoring function to uniformly map five water quality indicators to a scoring range of 0–10 and then performs a weighted summation. This achieves multi-dimensional, accurate, and real-time determination of the pollution level of industrial wastewater, overcoming the shortcomings of existing technologies where single-indicator judgments are inaccurate and multi-indicator dimension inconsistencies prevent comprehensive evaluation. The targetedness and effectiveness of wastewater classification and treatment are significantly improved.

This invention relates to the field of mooncake processing and conveying technology, and particularly to a circular conveying device for mooncake filling with smooth feeding. The device includes a placement platform and a base fixed to the bottom of the placement platform. A rotating disk is rotatably mounted on the upper end of the placement platform, and a placement surface is provided inside the rotating disk. An extrusion block is fixed to the outer wall of the rotating disk. A motor is fixed to the bottom of the motor, and the output end of the motor is fixed to the bottom of the rotating disk. A connecting frame is fixed to the upper end of the placement platform, and an extrusion assembly is provided on the upper end of the connecting frame. This invention provides a circular conveying device for mooncake filling with smooth feeding. Through the coordination of a compression mechanism and an automatic detection mechanism, it achieves intelligent compaction of the filling as needed, ensuring both the elimination of porosity and avoiding over-processing. This significantly improves the smoothness of feeding and the consistency of product quality. Furthermore, it has a simple structure and low cost, making it highly valuable for practical application.

The application discloses an artificial intelligence psychological evaluation method and system based on multi-modal input, and belongs to the technical field of artificial intelligence, and solves the problem that the existing system does not consider individual differences of the tested person to generate a customized evaluation strategy, resulting in insufficient evaluation targeting of the tested person, the method comprises the following steps: generating a personalized evaluation psychological evaluation strategy of the tested person based on basic information of the tested person, collecting multi-modal evaluation information of the tested person in real time, and identifying and analyzing a comprehensive state characteristic vector based on a pre-constructed psychological evaluation model; the application utilizes basic information to construct an initial feature portrait, uses test appeal as a constraint, adopts a collaborative attention network to generate strategy demand information, and individually adjusts item priorities based on an adjusted feature portrait, so that an evaluation strategy that adapts to individual cognitive preferences and emotional characteristics is generated, different individual differences can be adapted to, and implicit and defensive psychological problems of the tested person can be accurately captured, and the accuracy and efficiency of psychological evaluation are improved.

The invention relates to the technical field of air purification, in particular to an air purification control method and system based on a neural network, and the method comprises the following steps: S1, environment analysis: setting basic threshold values of various pollutants according to environment types and environment ranges; s2, character analysis: analyzing people flow and character behaviors in the environment, and setting a dynamic adjustment coefficient according to the average people flow and the current people flow; analyzing the type and concentration of pollutants possibly generated according to the character behaviors, and setting behavior influence parameters; s3, dynamic threshold calculation: dynamically adjusting the basic threshold according to the dynamic adjustment coefficient and the behavior influence parameter to obtain a dynamic threshold; and S4, air dynamic regulation and control, wherein the concentration of pollutants in the environment is monitored, and the concentration of the pollutants and a dynamic threshold value of the pollutants are compared. According to the method, the dynamic adjustment coefficient and the behavior influence parameter are generated by predicting the influence of the human flow and the human behavior on the air, the basic threshold value is dynamically adjusted, and the air purification efficiency is improved.

The application relates to the field of environmental protection and resource recycling technology, and discloses an electrolytic aluminum residual anode cleaning and crushing method, which comprises the following steps: recycling classification according to the degree of electrolytic aluminum residual anode; sequentially entering a pre-crushing treatment system according to the degree of electrolytic aluminum residual anode; entering three different cleaning procedures, A, B and C, according to the degree of electrolytic aluminum residual anode; after first-stage cleaning, entering an intelligent automatic cleaning system for secondary cleaning; after cleaning, entering a crushing system to apply special cleaning equipment for final crushing of residual anodes, the content of trace elements is effectively reduced, the harm to the working condition of electrolytic cells is reduced, and the quality and safety of electrolytic aluminum production are improved; in general, the classification treatment route designed according to the different degrees of residual anodes achieves the beneficial effects of improving resource recovery rate, ensuring product quality, improving production efficiency and environmental protection, and also promotes the enhancement of the economic benefits and environmental sustainability of electrolytic aluminum production.