11results about How to "Accurate correction" patented technology

This invention relates to the field of aluminum-based composite copper foil production technology, specifically to a tension control method for producing aluminum-based composite copper foil, comprising: a tension unwinding roller, a tension winding roller, and a high-vacuum winding coating equipment body, wherein both the tension unwinding roller and the tension winding roller are internally rotatably connected to the high-vacuum winding coating equipment body. This invention, by setting up components such as a tension control mechanism, and through torque adjustment between the drive source and the reducer, as well as signal feedback connection between the tension sensor and the controller, enables the tension sensor to detect the running tension of the tension unwinding roller and the tension winding roller in real time, and the controller to control the output state of the drive source. This achieves the ability of the device to automatically match closed-loop or open-loop tension control modes according to material specifications, realizing compatible control of precise adjustment at low tension and stable output at high tension, significantly improving the adaptability and efficiency of aluminum-based composite copper foil production.

The application discloses an intelligent diagnosis auxiliary system based on a medical knowledge graph and belongs to the medical diagnosis field. In order to solve the problem that a traditional medical diagnosis system is difficult to integrate information, a large amount of medical information is wasted, effective auxiliary diagnosis cannot be performed, the diagnosis efficiency is low, effective intelligent triage prediction cannot be performed, the patients are easily caused to have a burden of diagnosis, the hospital is easily caused to have a burden of operation, the work efficiency is low, corresponding diagnosis results cannot be given in time and quickly, and the diagnosis accuracy is influenced. The existing medical data island problem is overcome, the intelligent auxiliary diagnosis of common diseases is realized, the diagnosis efficiency is improved, the doctors are provided with high-credibility auxiliary diagnosis, the intelligent triage prediction is realized, the probability of wrong triage is reduced, the patients are provided with efficient and convenient pre-diagnosis consultation, the burden of the patients and the operation load of the hospital are reduced, the diagnosis accuracy of the diagnosis auxiliary system for comprehensive data analysis of patient information is gradually improved through human error correction.

This invention relates to the field of fleet driving management technology, specifically to a remote operation and maintenance management platform for safe driving of intelligent fleets. The platform includes: a line graph construction unit for collecting driving data and GPS data for each vehicle, and obtaining driving line graphs and GPS line graphs respectively; a target vehicle acquisition unit for obtaining a first feature value sequence and a second feature value sequence based on the driving line graph and GPS line graph of a vehicle, and obtaining a difference feature value sequence to determine whether the vehicle is a target vehicle; a target time determination unit for obtaining the time to be corrected for the target vehicle, and determining whether the time to be corrected is the target time; and a correction unit for classifying the target time according to the distribution characteristics of the target time of a vehicle, and correcting the GPS data of the target time according to the classification results. This application can correct GPS data during the driving process of fleet vehicles.

This invention discloses a collaborative sensing method for multimodal data in the Internet of Things (IoT) based on edge computing, relating to the field of IoT sensing technology. The method includes: collecting raw multimodal data packets and performing preprocessing on edge computing nodes to generate standardized multimodal data sequences; constructing session packets processed by the edge computing nodes using a session management protocol; parsing semantic fields from the session packets to establish a semantic feature set; initializing a multimodal semantic session state machine based on the semantic feature set to generate an initial session control strategy; and statistically analyzing modal conflict events and session quality changes based on the semantic feature set and the initial session control strategy, driving the multimodal semantic session state machine to self-evolve and adjust, and generating an updated session control strategy. This invention introduces a counterfactual scenario consistency verification mechanism in the edge computing environment, transforming the handling of multimodal semantic conflicts from static adjudication into a verifiable semantic reasoning process.

This invention discloses a method and apparatus for attenuation correction of dynamically acquired PET cardiac images, relating to the field of biomedical signal processing. The method includes: simultaneously acquiring cardiac and respiratory signals and PET data; preprocessing the data to divide a joint phase interval; segmenting the heart, lung, and chest wall regions; constructing a dynamic attenuation baseline sequence; and optimizing the attenuation coefficient map by incorporating tracer metabolic kinetics characteristics; achieving attenuation compensation through phase matching and projection correction; reconstructing PET images of each phase and fusing them to generate a dynamic sequence; and judging the quality of the results through evaluation indicators, iteratively adjusting model parameters if the results do not meet the standards. The advantages of this invention are: avoiding artifacts by dividing the joint phase interval through simultaneous acquisition of motion signals; optimizing attenuation correction by incorporating tracer metabolic characteristics; and combining this with an evaluation iteration mechanism, thus efficiently improving the accuracy and quality of PET cardiac image correction.

The application discloses a kind of power plant boiler operation oxygen amount online correction method and device, multiple existing oxygen sensors are arranged and arranged on rotating frame structure and end is equipped with oxygen sensor mounting seat, rotating frame structure is driven to rotate by servo motor, to complete the radial switching action of multiple oxygen sensors, the axial disengagement action of oxygen sensor and the main flange interface of flue outer wall is by the telescopic movement of electric push rod in axial direction, driving switching rod pulls oxygen sensor mounting seat to complete.The application aims at the abnormal alarm condition of oxygen sensor at single position in power plant boiler operation oxygen amount online monitoring system, and power plant operation center remote control power plant boiler operation oxygen amount online correction device can realize the axial plug and radial switching action of oxygen sensor, improve the detection quality of power plant boiler operation oxygen amount online monitoring system, and it is beneficial to power plant operation center to complete accurate correction of operation oxygen amount in time.

The present application relates to the technical field of clean energy, and discloses a training method and device of a correction model of NWP irradiance, equipment and a medium, the present application obtains historical NWP data, historical measured meteorological data and historical intrinsic electrical property data of the photovoltaic panel contained in the target photovoltaic station of the target photovoltaic station; the difference irradiance data is calculated based on the historical NWP irradiance data and the historical measured irradiance data; the training data set is constructed based on the historical intrinsic electrical property data, the historical NWP data and the difference irradiance data; the training data set is input into the pre-constructed preset correction model for model training, the historical intrinsic electrical property data and the historical NWP data are used as characteristic variables, the difference irradiance data is used as a label, the parameters of the preset correction model are continuously adjusted, the preset correction model learns the coupling relationship between the historical intrinsic electrical property data, the historical NWP data and the difference irradiance data, and the model converges until the correction accuracy of the NWP irradiance is improved.

The application provides a heart resuscitation evaluation method, device and program product, which can be applied to the cross field of medical first-aid training and artificial intelligence technology. The method comprises the following steps: in the case that a difference between a first compression parameter and a second compression parameter for heart resuscitation on a simulation object meets a preset condition, correcting key point coordinates in a position movement sequence corresponding to each of a plurality of key points to obtain a corrected position movement sequence, wherein the first compression parameter is collected by a pressure sensor, the second compression parameter and the position movement sequence are collected by a visual sensor, and the pressure sensor is arranged inside a chest cavity of the simulation object; determining a visual sign parameter according to the corrected position movement sequence of each of the plurality of key points, wherein the visual sign parameter represents the accuracy of a heart resuscitation posture; and determining an evaluation result according to evaluation values of the visual sign parameter, the first compression parameter and a gas flow parameter determined based on a gas sensor.

The application provides an automatic shrimp peeling equipment and a use method thereof, and belongs to the technical field of shrimp peeling equipment. The automatic shrimp peeling equipment comprises a conveying belt, a W-shaped placing belt arranged on the surface of the conveying belt, a supporting block fixedly connected to one side of the conveying belt, a servo motor fixedly connected to one side end of the supporting block, a supporting frame, a circular plate fixedly connected to one side of the supporting frame, and a hexagonal reinforcing ring fixedly connected to one side end of the circular plate. The overall structure of the equipment is significantly strengthened. The solid core structure of the hexagonal reinforcing ring can effectively disperse the centrifugal force generated by the circular plate during high-speed rotation, reducing the risk of deformation or damage caused by external force impact. This design not only improves the rigidity of the circular plate, but also enhances the stability of the equipment during long-time operation, thereby prolonging the service life of the equipment and reducing the maintenance cost.

This invention discloses an edge contour determination method, a mask pattern correction method, an apparatus, and an electronic device. The edge contour determination method includes obtaining the lithographic intensity value of each grid pixel in an initial simulated lithographic pattern obtained by lithographic simulation of a mask pattern using a lithographic simulation model; determining edge contour points whose lithographic intensity values ​​are equal to a set intensity threshold based on a pre-determined intensity variation trend curve along the edge contour normal direction of the lithographic pattern and the corresponding lithographic intensity value of each grid pixel; and determining the edge contour curve of the initial simulated lithographic pattern based on each edge contour point. In this application, the intensity variation trend curve along the edge contour normal direction of the lithographic pattern is pre-determined, thereby achieving simpler and more accurate and reliable extraction of edge contour points, thus enabling accurate and reliable prediction of the lithographic pattern. When applied to mask pattern correction, this method is beneficial for improving the precision of semiconductor lithography.

This paper presents a method for dynamic zero-point adjustment of a suspension-supported pendulum accelerometer. The method optimizes the adjustment process and calculates the dynamic zero-point error test value of the accelerometer. Combined with the given quantitative adjustment parameters, it enables the one-time adjustment of suspension-supported pendulum accelerometers with out-of-tolerance dynamic zero-point, improving the pass rate. The adjustment method is simple, and the parameter correction is precise, ensuring that the corrected dynamic zero-point difference of the suspension-supported pendulum accelerometer is within a reasonable range. Without altering the original structure, the dynamic zero-point of the suspension-supported pendulum accelerometer is compensated by adding inductance. This method is particularly suitable for dynamic zero-point adjustment of similar accelerometers that are not easily modified, and has significant promotional value and reference value.