9results about How to "Promote deep integration" patented technology

The present application relates to the technical field of traditional Chinese medicine preparation, and particularly relates to a method and system for optimizing a frying process of traditional Chinese medicine decoction pieces. Formula information and process requirements of target traditional Chinese medicine decoction pieces are obtained; a frying process scheme of similar traditional Chinese medicine decoction pieces is retrieved from a traditional Chinese medicine frying expert knowledge base; initial parameters are generated by fusing the frying process scheme; first-round frying is performed; process data are collected by a multi-modal sensor; adjustment suggestions are proposed by experts; parameter adjustment schemes are generated in combination with the expert suggestions and the process data; interactive optimization is performed for multiple rounds; and optimal frying process parameters are recorded and stored in the knowledge base. By constructing a formula information-driven knowledge retrieval mechanism, a multi-modal sensing monitoring system, a parameter adjustment strategy combining expert evaluation and data analysis, and an interactive iterative optimization framework, a closed-loop optimization system is formed, and technical problems such as difficulty in knowledge reuse, single process monitoring, lack of systematic support for parameter adjustment, and insufficient human-machine cooperation in traditional Chinese medicine frying processes are solved.

The invention relates to a river flow prediction method, which comprises the following steps of: 1, dividing a daily runoff data set, and performing multi-stage decomposition on a training set by using Haar wavelets to obtain de-noising parameters; 2, multiplexing the verification set and the test set to obtain data; step 3, carrying out first-order differential transformation, and zooming to an interval of [0, 1] by using MinMaxScaler to obtain a normalized value of a differential sequence; 4, mapping the data to a high-dimensional space through a linear embedding layer, and then carrying out position coding to obtain data; step 5, inputting the data obtained in the step 4 into a DTransformer encoder, so that a catastrophe point obtains a higher attention weight so as to strengthen difference characteristics of adjacent time steps and obtain encoder output; 6, inputting the data obtained in the step 5 into an LSTM decoder, and performing feature recombination to obtain encoder output; 7, mapping the data obtained in the step 6 to 7-dimensional output through a full connection layer; and 8, performing inverse normalization and inverse difference transformation on the data obtained in the step 7 to obtain final output.

The application discloses a highway pavement disease detection method, system and equipment, and relates to the technical field of highway pavement image processing. The technical scheme points are: obtaining a to-be-detected pavement image of a highway; inputting the to-be-detected pavement image into a pre-trained disease area segmentation model for segmentation and extraction to obtain a disease area image of the highway pavement; wherein, a first discriminator and a first generator are used to form a first generative adversarial network, the first generative adversarial network is trained, and when the number of training reaches a maximum number, a disease detection model is obtained; the disease area image is input into the pre-trained disease detection model for detection to obtain a disease detection result of the highway pavement; wherein, a YOLOv8 neural network is trained, and when a first loss function converges, the disease detection model is obtained. The problems that the prior art cannot capture detailed information and has false and missed detection of diseases when detecting pavement diseases are solved.

The application discloses a floating photovoltaic power generation device suitable for fish culture, which comprises a corrosion-resistant floating body, a power generation module, a sun tracking module and a self-cleaning module integrated on the floating body to form an integrated independent power supply unit, and photovoltaic panels replace high-voltage power transmission to supply power to the culture device; the sun tracking module realizes sun tracking of the photovoltaic panels through a two-degree-of-freedom deflection structure combined with intelligent control and takes into account underwater culture illumination; the self-cleaning module realizes automatic cleaning of the photovoltaic panels through cooperation of a brush / roller brush and spraying; the floating body can be used alone or composed of a power generation group, and is matched with structures such as buoyancy reinforcement, gravity center lowering and wind and wave resistance linkage, and is suitable for different scales and types of culture water areas. The application realizes on-site power consumption, eliminates hidden dangers of high-voltage power transmission, improves photovoltaic power generation efficiency, reduces operation and maintenance cost, takes into account power generation and culture ecology, and has high practicability.

The application belongs to the technical field of spaceflight, and discloses a satellite electromagnetic permanent magnet integrated connection separation and recovery device and a control method thereof. The satellite electromagnetic permanent magnet integrated connection separation and recovery device is provided with a curved surface permanent magnet interface on a micro-nano satellite. The curved surface permanent magnet interface is connected with a curved surface electromagnetic interface. The curved surface electromagnetic interface is arranged on a satellite ring. The application improves the carrying capacity of spaceflight equipment. The satellite ring can provide multiple micro-nano satellite connection separation and recovery interfaces, and can simultaneously release, separate and dock and recover multiple micro-nano satellites. The satellite ring is composed of a circular ring. The surface of the circular ring is provided with electromagnetic connection separation and recovery interfaces. The micro-nano satellite connection and recovery docking are realized by the butt joint of the micro-nano satellite curved surface permanent magnet interface and the curved surface electromagnetic interface. The locking of the connection interface is realized by adopting a bag belt fixing mode during the execution of a launch task.

The invention provides a voice and voiceprint analysis and numeralization method and system for reflecting a phlegm-dampness state of a human body. The method comprises the steps of determining voice global feature parameters related to the phlegm-dampness state based on preset theoretical definition information of the phlegm-dampness state; voice data of normal people and phlegm-dampness people are collected, the collected voice data are marked, and corresponding physique categories are determined; feature extraction is carried out on the marked voice data, voice global feature parameters are obtained, and voice feature data sets of the normal crowd and the phlegm-dampness crowd are formed; constructing a normal voiceprint group and a phlegm-dampness state feature voiceprint group based on the voice feature data set by using a regression calculation method; performing matching analysis on the voice global feature parameter value of the to-be-detected voice and the normal voiceprint group and the phlegm-dampness state feature voiceprint group, and calculating the difference degree between the to-be-detected voice and the normal voiceprint group and the phlegm-dampness state feature voiceprint group; and quantitatively generating a diagnostic report of the phlegm-dampness state according to the calculated difference degree.

This disclosure relates to the field of digital rock physics, and particularly to a method and apparatus for adjusting the tortuosity of the pore space in a digital core sample. The method includes: acquiring a digital core model of the core sample and a pre-constructed tortuosity adjustment model; wherein the tortuosity adjustment model is an inverse mapping based on the wave principle; and using the tortuosity adjustment model to adjust the tortuosity of the pore space in the digital core model to construct an extended digital core model of the core sample.

The invention provides a fire risk assessment and management system of a data center. Comprising a fire-fighting digital twinborn digital body and entity mapping module, a fire risk information sensing module based on a data center, a fire risk information intelligent evaluation and fusion module and a high-rise building fire risk early warning, study and judgment module of the data center. The fire-fighting digital twin digital body and entity mapping module and the fire risk information sensing module based on the data center are connected with the fire risk information intelligent evaluation and fusion module; and the fire risk information intelligent evaluation and fusion module is connected with the high-rise building fire risk early warning and research and judgment module of the data center.

The invention provides a mobility management method and device, a storage medium and a program product, relates to the technical field of communication, and is beneficial to realizing integration of communication and perception. The method comprises the following steps: after establishing a connection with a terminal, constructing an association relationship between a communication identifier of the terminal and a first sensing identifier; configuring a corresponding general inductance identifier for the association relationship; and performing mobility management on the terminal based on the sensing identifier.