7results about How to "All-in-one processing" patented technology

The application discloses a hypertension fundus lesion detection system based on image recognition, and comprises the following steps: performing format conversion, noise suppression and picture enhancement on a fundus image to generate a standard image; extracting structural features based on the standard image and forming a feature set; calculating a response value for the feature set to generate a response vector; performing mapping processing on the structural features and the response vector to form coupled feature data; generating a saliency map according to the position of the coupled feature in the image space; screening continuous regions in the saliency map to form a candidate lesion region map; extracting a composite feature vector from the candidate region, and generating lesion classification, position indexing and confidence information based on the composite feature to realize lesion recognition and position calibration.

This invention discloses a method for determining the non-perfect similarity ratio based on the classification similarity law. The method includes the following steps: S1, extracting a set of parameters describing the physical phenomenon based on experience, previous experimental results, literature, and data; S2, dividing the parameter set into key parameters, basic parameters, and derived parameters; S3, obtaining the similarity ratio of the basic parameters using measurement, material property testing, and other means; S4, deriving the similarity ratio of the derived parameters based on the similarity ratio of the basic parameters; S5, introducing constraint equations based on the physical relationship between the key parameters and the basic and derived parameters to construct a similarity ratio constraint equation; S6, substituting the similarity ratios of the basic and derived parameters into the similarity ratio constraint equation to solve for the similarity ratio of the key parameters. This method, by introducing constraint equations to construct similarity relationships, can effectively reduce scaling errors under non-perfect similarity conditions and is applicable to various scaling test scenarios such as open-loop and closed-loop tests.

The application relates to the technical field of corrosion monitoring, and discloses a titanium equipment point corrosion early warning method and system based on electrochemical impedance spectrum analysis, which comprises the following steps: collecting an electrochemical impedance spectrum original response signal, and performing spectrum regularization on the electrochemical impedance spectrum original response signal to obtain an effective characteristic section; performing decoupling analysis on the real part and the imaginary part of the effective characteristic section to obtain decoupling component data, and performing phase correction on the decoupling component data to obtain calibrated components; taking a capacitive reactance characteristic in the calibrated components as the center and an impedance characteristic in the calibrated components as the edge, an impedance characteristic spectrum is constructed; performing precursor targeted identification on the impedance characteristic spectrum to obtain a point corrosion precursor characteristic; performing development gradient deduction on the point corrosion precursor characteristic to obtain point corrosion evolution data; performing hierarchical determination on the point corrosion evolution data to obtain a risk level, and generating early warning information according to the risk level; and the application can improve the efficiency of titanium equipment point corrosion early warning.

The application discloses an interactive integrated image restoration and fusion method and device, and the method comprises the following steps: constructing an interactive restoration and fusion module based on a multi-modal feature injection module, which is used for injecting image information of an infrared mode into a network with a pre-trained latent diffusion model as a backbone, so as to realize integrated interactive multi-modal image restoration and fusion; and constructing a fusion image structure restoration module, which is used for refining the structure and details of the restoration and fusion result by using original image information in the iterative denoising process of the latent diffusion model. The device comprises a processor and the processor. The application solves the problem of structure and detail loss caused by latent space fusion, so as to generate a fusion image with richer information and higher visual quality.

The utility model discloses a copper-containing waste liquid recovery treatment system which comprises a pretreatment unit, a copper recovery unit, a purification and refining unit and a waste liquid treatment unit. The pretreatment unit is used for removing impurities and grease through a filtering module and an air flotation oil removal module; the copper recycling unit is used for separating and recycling copper ions by using a pH adjusting tank, a chemical precipitation tank and a replacement reaction tank; the purification and refining unit improves the purity of a copper product through a fire refining furnace; and the waste liquid treatment unit ensures that waste liquid reaches the standard and is discharged through a neutralization tank and an automatic pH regulation system. The system realizes efficient recovery of copper resources and stable treatment of waste liquid through modular design and intelligent control, is suitable for copper-containing waste liquid treatment in the industries of electroplating, electronics, chemical engineering and the like, and has the remarkable advantages of compact process, high automation degree, high resource recovery rate and environmental protection standard reaching.

This application provides a TSN system for nuclear power environments. The TSN system includes a TSN switch, on which an environmental monitoring module, a security authentication module, and a scheduling module are deployed. The environmental monitoring module is configured to: monitor the radiation level of the communication environment and send the radiation level data to the security authentication module and the scheduling module; the security authentication module is configured to: perform a security check on the received information; if the security check passes, obtain the security level of the information based on the security level of the terminal device sending the information; select a corresponding encryption algorithm to decrypt the information based on the radiation level to obtain the encapsulated service instructions; the scheduling module is configured to: perform deep packet inspection on the service instructions to obtain the service type matching the service instructions; allocate the service priority of the information corresponding to the service instructions based on the timeliness level of the service type; and map the information to the output queue based on the radiation level, the service priority of the information, and the security level.

This invention discloses an image acquisition method and system suitable for cylindrical well walls, belonging to the field of image processing technology. It includes: acquiring images of the cylindrical well wall at different depth positions to obtain multiple original images and recording the depth position information at the time of acquisition; for each original image, obtaining multiple cylindrical unfolded images through cylindrical back projection transformation; establishing a mapping relationship between image pixels and actual height based on the geometric parameters of the camera array and the cylindrical well wall; for multiple cylindrical unfolded images at the same depth position, calculating the overlapping area of ​​the cylindrical unfolded images of adjacent cameras and performing image fusion to obtain panoramic unfolded images at different depth positions; determining the overlapping area of ​​adjacent cylindrical unfolded images along the well depth direction based on the mapping relationship and depth position information, and performing image fusion to obtain continuous unfolded images of the cylindrical well wall. This invention can generate distortion-free and seamlessly stitched panoramic unfolded images.