5results about How to "Realize supervision" patented technology

A medical device (100) and an information display method thereof, the medical device (100) comprising a memory (110), a processor (120) and a display (130), wherein: the memory (110) is configured to store an executable program, a display interface of the display (130) comprises a plurality of interactive display units (1, 2, …, N); the processor (120) is configured to execute the program stored in the memory (110), so that the processor (120) performs the following operations, comprising: obtaining medical information of a plurality of target objects, the medical information of each target object being derived from a plurality of source devices; associating the medical information of different target objects with different display units (1, 2, …, N); receiving a user's interactive operation on the display units (1, 2, …, N), and displaying a detailed information interface of a target object corresponding to the display units (1, 2, …, N) on the display interface, the detailed information interface being capable of displaying a multi-device fusion display interface; wherein the multi-device fusion display interface is configured to display medical information of a plurality of source devices and comprises a plurality of display areas, each display area displaying medical information on at least one source device, and the source devices corresponding to different display areas being different.

The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method

The application discloses a lithium battery state of health estimation method and system based on physical information and Mamba, which comprises the following steps: firstly, the battery voltage and current data of each cycle of the lithium ion battery in the charging stage are acquired, and pretreatment is performed to form a pretreatment data set; secondly, two features of constant voltage charging time and constant voltage charging capacity are extracted based on the pretreatment data set, two features of the maximum incremental capacity and the incremental capacity variance are extracted based on the ICA curve, and a feature vector is constructed; then, the feature vector is input into a PINN-Mamba neural network to obtain a SOH prediction value; finally, the PINN-Mamba neural network is optimized and trained by using a loss function, and is tested and verified. The application solves the problem of uneven distribution of features of the battery in different states, and effectively improves the prediction accuracy of the SOH.

The invention relates to the technical field of grain storage monitoring, and particularly discloses a processing characteristic monitoring and analyzing system for early indica rice for rice noodles in a storage process, which comprises the following steps of: generating a three-dimensional quality deterioration risk map according to storage environment data, and performing layered space sampling according to the three-dimensional quality deterioration risk map to obtain a sample set with coordinate identification; performing differential scanning calorimetry analysis on the sample to obtain gelatinization enthalpy value data, and integrating the gelatinization enthalpy value data with space coordinates and risk levels of the sample into a structured database; by taking the space coordinate as a position variable, the gelatinization enthalpy value as a target variable and the risk value as an auxiliary variable, processing by adopting a covariant Kriging algorithm, and generating a continuous aging degree prediction curved surface covering the whole storage space and corresponding uncertainty evaluation data; and finally, constructing a three-dimensional visual distribution map based on a prediction result, calculating a whole warehouse statistical index, identifying a high-confidence local deterioration region, and forming a quality decision report. The problem of monitoring distortion of a traditional method is effectively solved.

The application relates to the field of data processing, in particular to a medicine return and quality control app, which comprises a receiving module that receives a return application of a client; an allocation module that judges a return application type according to the return application, forms an allocation task according to an electronic information sheet, and allocates the allocation task to a corresponding deliveryman terminal; an execution module that manages the deliveryman terminal to execute medicine return extraction according to the allocation task and the electronic information sheet, acquires actual return medicine information uploaded by the deliveryman terminal according to the allocation task, and generates an extraction success instruction; an acceptance module that generates a target electronic return sheet according to the extraction success instruction to generate a target return time, and receives a receipt instruction of a delivery terminal to determine whether acceptance is successful; and a management module that updates inventory information according to an acceptance determination result. The online medicine return can be tracked throughout the whole process, and the medicine quality can be inspected, the return efficiency is improved, and the quality of the returned medicine is ensured.