4results about How to "Overcome inaccuracies" patented technology

This invention provides a method for calculating the optimal time for rolling up greenhouse curtains. The method includes the following steps: calculating the solar altitude angle h for a given region, date, and time; obtaining the temperature equilibrium time point inside the greenhouse during winter; calculating the solar altitude angle h of the temperature equilibrium point inside the greenhouse on different dates during winter; and calculating the optimal curtain-rolling time T for different dates in the given region during winter. The method provided by this invention has the advantage of being able to calculate the optimal curtain-rolling time for greenhouses on different dates and in different geographical locations during winter without relying on complex sensors inside the greenhouse, by integrating geographical information, astronomical parameters, and historical observation data. This improves the utilization of climate resources and effectively mitigates meteorological disasters in facility agriculture.

The application relates to the technical field of gear detection, and provides a high-precision gear visual multi-dimensional detection method and system, which comprises the following steps: acquiring original three-dimensional point cloud data of a gear to be detected, multispectral optical reflection image information of a surface area of the gear to be detected and a standard geometric structure model of the gear to be detected; based on the multispectral optical reflection image information, fitting processing is performed on the original three-dimensional point cloud data and the standard geometric structure model of the gear to be detected, so that intermediate three-dimensional point cloud data of the gear to be detected are obtained; according to infrared reflection image information in the multispectral optical reflection image information, the intermediate three-dimensional point cloud data of the gear teeth of the gear to be detected are corrected, so that target three-dimensional point cloud data of the gear to be detected are obtained; and quality detection is performed on the gear to be detected based on the target three-dimensional point cloud data of the gear to be detected. Through the scheme, the accuracy of gear quality detection can be improved.

This invention discloses an active acoustic motion sickness suppression system and method for electric vehicles based on multimodal information fusion. The system includes a signal acquisition module, a data processing and motion sickness level recognition module, an acoustic signal generation module, and an onboard sound device. The signal acquisition module collects vehicle motion parameters and occupant physiological state data. The data processing and motion sickness level recognition module fuses and analyzes the raw EEG signals and vehicle motion parameters, outputting a motion sickness level judgment result. The acoustic signal generation module uses an order synthesis algorithm to enhance the corresponding parameters of specific order harmonics, amplifying the synthesized audio signal as an acoustic intervention signal. The onboard sound device receives the acoustic intervention signal and plays the intervention sound. This invention achieves accurate judgment of motion sickness and can dynamically generate highly correlated acoustic intervention signals based on the unique vehicle motion parameters of electric vehicles, compensating for auditory information gaps and achieving a motion sickness suppression effect.

The application discloses a kind of methods, systems, equipment, medium and program for monitoring patient physiological state data, belong to data processing technical field.Method includes obtaining patient physiological state monitoring data, and identify missing value in patient physiological state monitoring data, obtain missing data;According to the physiological state data of patient and influence relationship, data interpolation is carried out to missing data, and the physiological state monitoring data after interpolation is obtained;According to the physiological state monitoring data after interpolation, the health status of patient is evaluated.The application can provide personalized data interpolation result according to the influence relationship between different physiological state data of patient, improve the accuracy of patient physiological state data.