7 results about "Physical diagnosis" patented technology

The invention discloses an atmospheric visibility prediction method based on a physical diagnosis model, which performs visibility analysis based on the in-fog physical diagnosis model, and can obtain a visibility prediction result based on various mainstream numerical model products such as GFS, ECMWF and the like. The method has the advantages of being high in calculation speed, small in storage occupation, free of a large number of samples and high in expansibility, and theoretical and technical supports are provided for the development of the refined forecasting and early warning technology of fog.

Systems and methods presented herein are configured to predict fracture height and reconstruct physical property logs using models based on machine learning algorithms and physical diagnostic measurements. In particular, physical diagnostic measurements may be used to train machine learning algorithms that can be used to predict the existence of a fracture as a function of depth. For example, physical diagnostic measurements collected by downhole sensors can be used to train the machine learning algorithms, which may then be used to predict the existence of a fracture as a function of depth based on subsequently collected physical diagnostic measurements, for example, to determine fracture height of the fracture.

1. Name of this design product: Physical diagnosis graphical user interface for electronic equipment. 2. The purpose of this design product: Scan the member code box in the main view to scan the member code information, jump to the change state diagram 1, click the "Go to Perfect" button in the change state diagram 1, jump to the change state diagram 2, click the "Submit" button in the change state diagram 2, jump to the change state diagram 3, click the "Ms." and "Submit" buttons in the change state diagram 3 in sequence, jump to the change state diagram 4, click the "Take a picture of the tongue" button in the change state diagram 4, jump to the change state diagram 5, click the "Take a picture of the back of the tongue" button in the change state diagram 5, jump to the change state diagram 6, click the "Take a picture of the back of the tongue" button in the change state diagram 6 , jump to the changing state diagram 7, click the "Remove square root" button in the changing state diagram 7, jump to the changing state diagram 8, click the "Remove square root" button in the changing state diagram 8, jump to the changing state diagram 9, click the "Remove square root" button in the changing state diagram 9, jump to the changing state diagram 10, click the "Remove square root" button in the changing state diagram 10, jump to the changing state diagram 11, click the "Remove square root" button in the changing state diagram 11, jump to the changing state diagram 12, click the first "+" button in the first row in the upper left corner of the changing state diagram 12, jump to the changing state diagram 13. 3. The key design points of this appearance design product lie in the graphical interface content shown in the figure. 4. The picture or photo that best illustrates the key points of the design: main view. 5. The design for which protection is sought includes color.

The application discloses an intelligent physical diagnosis system and method based on infrared thermal imaging double guidance, relates to the technical field of diagnosis systems, and constructs a thermal field space topology network graph; maps metabolic heat flow characteristic parameters to the thermal field space topology network graph, combines a heat flow vector direction and a flow velocity to calculate metabolic driving weights of each heat diffusion path, generates a percolation type heat conduction path model with metabolic weights, and outputs a defect-thermal metabolism coupling graph; after analyzing the defect-thermal metabolism coupling graph, it is judged whether a physical imbalance early warning signal is triggered, abnormal source coordinates and related physical type tendencies are synchronously labeled, and intervention suggestion work orders containing positioning coordinates are automatically generated according to the early warning signal. The diagnosis method realizes multidimensional and high-precision collaborative analysis on a human body surface thermal field and metabolic heat flow, accurately positions an abnormal source, and outputs individualized intervention suggestions, thereby providing key information that can directly guide practice for clinical or health management.

The application discloses a self-docking physical diagnosis equipment tool, and relates to the technical field of physical diagnosis equipment installation, which comprises an automatic walking mechanism, a synchronous locking mechanism and an equipment main body. The synchronous locking mechanism comprises a lower bracket, a transition frame, an upper bracket, a lower layer lead screw and an upper layer lead screw. The lower layer lead screw is connected with lower layer nuts on the opposite threads at both ends. The lower surface of the transition frame is lower than the upper surface of the lower layer nuts. The upper layer lead screw is connected with upper layer nuts on the opposite threads at both ends. The lower surface of the upper bracket is lower than the top of the upper layer nuts. The top of the upper bracket is provided with a connecting part connected with the equipment main body. In the application, the synchronous locking mechanism is controlled to be in the locking state, so that the equipment main body can be stably transferred. When the synchronous locking mechanism is controlled to be in the unlocking state, the freedom is released, the equipment main body can be disconnected with the rigid connection, the automatic walking mechanism reduces the occupation of the lateral space, and is suitable for the transportation in complex environments.

This invention provides an active physical therapy system and method. The system includes: an autonomous movement module, a human-computer interaction module, a multimodal perception module, an intelligent examination module, a physical intervention module, and a robot brain module mounted on a diagnostic robot. The autonomous movement module controls the autonomous movement of the diagnostic robot; the human-computer interaction module facilitates interaction between the diagnostic robot and the user; the multimodal perception module collects multi-dimensional health-related data from the user; the intelligent examination module diagnoses the user's health problems based on the multi-dimensional health-related data and provides corresponding physical intervention plans; the physical intervention module executes the corresponding physical intervention plan based on the diagnostic results and physical intervention plan from the intelligent examination module; and the robot brain module coordinates the collaborative work of each module to conduct health diagnosis and treatment for the user. This system provides 24 / 7, professional, personalized, and precise active physical therapy services in a home setting, significantly improving the accuracy, convenience, and professionalism of home health monitoring and management. It effectively meets the health monitoring and management needs of families in the context of an aging population, reduces home medical costs, and significantly improves the level of family health protection.

This paper discloses a method for predicting atmospheric visibility based on a physical diagnostic model. This method, based on a physical diagnostic model in fog, analyzes visibility and can generate visibility forecasts based on various mainstream numerical model products, such as the Global Forecasting System (GFS) and the European Central Meteorological Organization (ECMWF). This method boasts fast computational speed, minimal storage requirements, the absence of a large sample size, and strong scalability, providing theoretical and technical support for the development of refined fog forecasting and early warning technologies.