148results about How to "Facilitate communication" patented technology

The invention provides a natural language control method for a humanoid robot. By constructing the simple skill library and the complex skill library of the robot, the dependence on a large amount of operation data in a specific field is effectively reduced. According to the method, a large language model is used as a base of a task planner, and the capabilities of scene learning, semantic understanding and common sense reasoning of the task planner are brought into full play. By introducing a visual model in the field of computer vision, high-level semantic information and low-level spatial information of the environment can be obtained, and an accurate scene graph is constructed to serve as environment state representation. According to the voice interaction interface constructed by the invention, the naturalness of man-machine interaction is improved, so that a user can more conveniently communicate with the robot and input instructions, the user experience is effectively improved, and popularization of the humanoid robot in an actual application scene is facilitated.

The invention discloses an AI-driven complete-cycle scoliosis management system, which belongs to the field of scoliosis management systems and comprises a data fusion module, a feature extraction module, a text processing module, a diagnosis inference module and an output presentation module. Wherein the data fusion module is used for performing deep fusion on sensor data of the wearable equipment and X-ray / CT medical image data to generate comprehensive fusion prediction data; the feature extraction module uses a pre-trained fusion encoder to perform feature extraction and encoding on the fusion prediction data to generate potential feature representation; the text processing module adopts a pre-trained text encoder to encode free text diagnosis information provided by a doctor and a patient and extract semantic features; and the diagnosis inference module is used for fusing the fusion features and the text features. According to the invention, the sensing data of the wearable device and the medical image data can be effectively integrated to give full play to the complementary advantages thereof, so that the diagnosis accuracy is improved.

The invention relates to the technical field of breach image processing, in particular to a breach rapid situation awareness method and system based on multi-source data. The method comprises the following steps: acquiring dam monitoring station data; performing hydrological sensor network setting on the dam monitoring station data to obtain dam hydrological sensor network data; performing ultrasonic water level change trend analysis on the dam hydrological sensor network data to generate an ultrasonic water level change trend chart; performing breach node sensing on the dam hydrological sensor network data according to the ultrasonic water level change trend chart to generate breach node data and breach prediction node data; and according to the breach node data, macroscopic disaster risk analysis is carried out on the breach area, and a breach area macroscopic disaster risk schematic diagram is generated. According to the invention, through real-time data integration, comprehensive risk assessment, unmanned aerial vehicle monitoring, dynamic prediction model and multi-party cooperative response, the accuracy and response speed of breach rapid situation awareness are improved.

The invention discloses a scientific research partner recommendation method based on an attention mechanism and a graph neural network, and provides an academic partner recommendation model AGNNRec based on the graph neural network and the attention mechanism. According to the method, a recommendation model is constructed based on a graph neural network, a context path is introduced to capture a high-order relationship between nodes, a multi-head relationship attention mechanism is introduced to learn embedded vectors of node high-order neighbors in parallel, and finally, recommendation of partners is completed by using a cosine similarity algorithm. Experiments are carried out on the model on a self-built data set and a public data set DBLP respectively, in the experiment using the DBLP data set, the effects of the model on Precision (at) 5 and NDGG (at) 5 are improved by 19.07% and 1.17% respectively, and the effectiveness of AGNNRec in science and technology partner recommendation tasks is shown.

The invention discloses a lake and reservoir inflow and outflow scheduling scheme optimization method and system based on a three-dimensional hydrodynamic force-water quality-water ecological model, and the method comprises the steps: firstly constructing a three-dimensional hydrodynamic force-water quality-water ecological model of a target lake and reservoir, setting a scheduling constraint, a scoring constraint, a scoring single item, and a comprehensive scoring weight by a decision maker, stratified sampling and one-dimensional uniform random sampling are carried out on each flow range of a water replenishing port, a flow outlet and a water suction pump station which can be regulated and controlled manually according to scheduling constraints set by a decision maker, and a plurality of inflow and outflow scheduling schemes are generated; and performing big data mining on the model calculation results of all the access flow scheduling schemes, performing comprehensive scoring according to the scoring single item and the comprehensive scoring weight, and selecting the access flow scheduling scheme with the highest comprehensive score as an optimal scheduling scheme for recommendation. The method has the advantages of high simulation precision, flexible decision support, multi-target comprehensive balance and the like, and a scientific and efficient technical solution can be provided for lake and reservoir inflow and outflow scheduling.

The invention provides a double-screen different-display real-time translation machine implementation method and device, and the method comprises the following steps: 1, obtaining and starting a double-screen different-display real-time translation machine, and initializing an SOC SSD2386 chip, two touch screens, a plurality of microphones distributed near the two touch screens and a storage unit of the double-screen different-display real-time translation machine; by adopting a double-screen different display technology, the target language text information can be respectively and clearly displayed on the touch screen of the opposite user, so that the situation of image disorder caused by mixed display of multiple languages on the same screen is avoided, the information reading speed and accuracy of the user are greatly improved, and the communication fluency and efficiency are ensured; according to the method, the target language text information is individually set according to the display preference of the user, the font size, the color and the like are adjusted, and only the translation result required by the opposite user is displayed, so that the interference of irrelevant information on the user is effectively avoided, the user experience is improved, and the smooth communication is promoted.

The invention relates to the technical field of wireless communication, in particular to a communication and rate optimization method and system of an ARIS-assisted ISAC-NOMA system. Channel fading gains from a user terminal to an ARIS node and from the ARIS node to a DFRC-BS node, a steering vector when a DFRC-BS node antenna array sends a sensing signal and a complex path loss coefficient of the sensing signal are obtained, the DFRC-BS node sends the sensing signal, the user terminal sends an uplink communication signal, and the DFRC-BS node receives a sensing target echo signal and a communication signal at the same time; a continuous interference elimination technology is adopted for the communication sensing mixed signals, and the communication sum rate and the sensing signal-to-noise ratio are calculated; and iteratively solving an optimization problem by using an alternating optimization algorithm to obtain the maximum communication and rate of the system. Compared with the traditional method, the method provided by the invention can realize higher communication rate and better sensing performance in different scenes, and has higher practical application value.

The invention discloses a hyperspectral image classification method and a hyperspectral image classification device based on a double-branch multi-scale CNN (Convolutional Neural Network) and a memory enhancement Transform. The method specifically comprises the following steps: step 1, acquiring and preprocessing hyperspectral image data; and step 2, inputting the data after the step 1 into a double-branch multi-scale CNN feature extraction module, and fully extracting spatial features and spatial-spectrum combined features of the hyperspectrum. And step 3, transmitting the data after the step 2 into a memory module, performing detail memory and global memory on the data by MT1, and performing normal memory and important feature memory on the data by MT2. 4, the data obtained in the step 2 and the data obtained in the step 3 serve as input and are transmitted into a memory Transform; and 5, finally, a classification result is obtained through an mlp-head layer. According to the method, rich spatial features and spectral features of the hyperspectrum can be fully combined, and the classification precision and the classification performance of the hyperspectral image are improved.

A transparent visual power grid operation and maintenance system comprises a data acquisition and preprocessing module which is composed of a sensor network and SCADA system docking unit and a data preprocessing unit; the data processing and analysis module is composed of a fault prediction and diagnosis unit, an operation and maintenance strategy optimization unit and a three-dimensional modeling and dynamic simulation unit; the visual display and user interaction module is composed of an AR / VR interface development unit and a user-defined interface and report generation unit; and the system integration and communication module is composed of a standardized API interface and cloud platform unit and a remote access and cooperation unit, and the scheme of the invention solves the problem that the complexity of power grid operation and maintenance system data causes that detection information is difficult to provide visually, thereby affecting the operation and maintenance work quality and efficiency.

The invention relates to the technical field of information analysis, in particular to an information analysis method and system based on student data traceability. The method comprises the following steps: acquiring a student subject learning quality data set; performing data preprocessing on the student subject learning quality data set to generate a subject learning quality preprocessing data set; performing influence factor screening on the subject learning quality preprocessing data set according to a preset regression analysis model to generate subject influence related factors; utilizing a Fahrenheit combination interval analysis method to carry out deep interval analysis on the subject influence correlation factors, and generating a student subject learning quality strategy; therefore, through influence factor analysis and strategy adjustment of the system, the problem that a traditional education analysis method is lack of individuation and dynamic adjustment is solved, and the scientificity and the implementation effect of education decision making are improved.

The invention relates to a clinical informed agreement intelligent recommendation device based on a BERT model, and belongs to the field of digital medical treatment. Comprising a data acquisition and processing module used for acquiring and preprocessing historical medical record information, medical knowledge and clinical informed agreement samples of a patient; the model construction module is used for obtaining a trained clinical informed agreement generation model; the knowledge base construction module is used for extracting key information and terms through the trained clinical informed agreement generation model and constructing a clinical informed agreement template library and a term list library; the clinical informed agreement generation module is used for inputting data of a to-be-tested patient into a trained clinical informed agreement generation model and calling a clinical informed agreement template and a term list to generate a personalized clinical informed agreement; and the doctor-patient interaction platform is used for providing a chat window. According to the device, a personalized clinical informed agreement book is automatically generated for a patient, so that the patient can more accurately understand the content in the clinical informed agreement book while the working efficiency is improved.

The invention discloses an optimized operation method for a hydrogen refueling station to participate in a day-ahead market and a balance market. The method comprises the following steps: constructing an upper-layer hydrogen refueling station bidding quotation model; a lower-layer day-ahead market clearing model composed of an electric energy market, a standby market and a hydrogen energy market is established; establishing a lower-layer balance market clearing model based on the bidding quotation of each subject and the reserve capacity provided by each subject of the lower-layer day-ahead market clearing model; constructing a lower-layer overall clearing model based on the middle-lower-layer day-ahead market clearing model and the middle-lower-layer balanced market clearing model; converting the lower-layer overall clearing model into a group of constraint conditions by using a KKT condition, adding the constraint conditions into an upper-layer hydrogen refueling station bidding quotation model, and converting the upper-layer model and the lower-layer model into a single-layer model; and respectively linearizing nonlinear terms of the single-layer model through a strong dual theorem and a big-M method so as to convert the nonlinear terms into a mixed integer programming model and directly solve the mixed integer programming model through a solver. According to the invention, the flexible resource regulation potential of the hydrogen refueling station is fully exploited, the flexibility of market transaction is improved, and the income of the hydrogen refueling station is increased.

The invention discloses a method for managing big data software, which relates to the technical field of computer software and comprises a data acquisition and preprocessing stage, a user information management stage, a merchant information management stage, a big data analysis and decision-making stage and a continuous optimization and improvement stage. In the data acquisition and preprocessing stage, information is acquired through multi-source data, and the information comprises user registration information, commodity information, transaction records and evaluation information. According to the big data software management method provided by the invention, information is acquired through multi-source data in a data acquisition and preprocessing stage, the completeness and accuracy of the data are ensured by utilizing a data acquisition tool, the format is unified, repeated data are effectively removed, and missing values are processed, so that the quality and availability of the data are improved, and the data processing efficiency is improved. By analyzing browsing, purchasing and evaluating behaviors of the user, a behavior model is established, abnormal behaviors can be detected and investigated and verified, and the safety of user information is further improved.

The invention provides a railway green performance data knowledge extraction method. The method comprises the steps of data collection and preprocessing, knowledge graph construction and data standardized storage. The method comprises the following steps: collecting and classifying key data of a full life cycle of a railway; constructing an ontology by a top-down method, extracting knowledge, and storing the knowledge in a graph database; storing the structured data based on the metadata, sorting and classifying the unstructured data, binding the unstructured data with the knowledge graph, and storing the unstructured data; according to the method, the environment-friendly degree of railway engineering can be improved, information management is optimized, the data driving force of decision support is increased, data sharing and communication are promoted, the sustainability of railway projects is improved, compliance of environmental protection rules and policies is achieved, and the timeliness and dynamic updating capacity of data are improved; not only are knowledge extraction efficiency and accuracy improved, but also monitoring and improvement of key performance indexes of the railway engineering are more scientific and systematic, and energy conservation, consumption reduction and ecological environmental protection of the railway engineering are further promoted.

The invention provides a method for realizing automatic extraction of compound information in magnetic resonance mass spectrometry, which belongs to the field of quality control of natural product extracts and comprises the steps of original data information conversion, ion information self-adaptive integration, compound chromatogram construction and compound chromatogram outflow characteristic information extraction. Firstly, originally collected signals are converted into data in a NetCDF format, information of all components in each mass spectrum is reserved, and then high-precision mass spectra, retention time and ion abundance information of all ions in a sample are obtained; then, according to the information of the ion fengdu and the high-precision mass spectrum, through a DBSCAN clustering algorithm, obtaining potential valuable characteristic ion center points, and clustering all ions; constructing a chromatogram by the ions in each class according to a retention time sequence; a dynamic window is combined with a continuous smoothing strategy to extract a compound chromatographic peak in each chromatogram, information such as compound retention time, high-precision m / z and peak area is obtained, and finally extraction of compound information in a sample is achieved.

The invention discloses a cross-system communication method and device, and the method comprises the steps: obtaining first communication data, packaging the first communication data based on a first communication protocol of a first data packaging layer, and obtaining first communication protocol data; packaging the first communication protocol data based on a second communication protocol of a second data packaging layer to obtain second communication protocol data; transmitting the second communication protocol data to a data communication layer of the target communication system, so that a second communication protocol of a second data encapsulation layer of the target communication system de-encapsulates the second communication protocol data to obtain first format data consistent with the first communication protocol data; and decapsulating the first format data by using a first communication protocol of a first data encapsulation layer of the target communication system to obtain second communication data consistent with the first communication data. According to the invention, the difficulty of cross-system interaction and communication is reduced, and the development cost and maintenance difficulty of the vehicle-mounted system are reduced.

The invention relates to the technical field of English teaching, in particular to an intelligent English teaching system for English teaching, which comprises a data storage server, a student terminal, a data exchange server and a teacher terminal, the student terminal comprises an input unit, a data acquisition unit, a planning unit, an auxiliary unit, a processor, an execution unit, a recording unit, a rechecking unit and a management unit; the input unit is used for receiving and recording target data set by a user, and the target data comprises a target location and preset time; the intelligent English teaching system provides simulation questions in recent three years and an intelligent recheck mechanism by precisely customizing a learning plan, and effectively improves the pertinence and efficiency of English learning. The system can automatically adjust learning content and strengthen weak links according to requirements of students, ensures that the students comprehensively master English knowledge, provides powerful support for English examination, and remarkably improves academic records and examination taking ability of the students.

The invention relates to the technical field of data processing, in particular to an intelligent data processing method and system based on surgical nursing, and the method comprises the steps: firstly obtaining food intake and physiological indexes of a patient within a preset time, comparing the food intake and physiological indexes with a standard food intake set, and generating a food intake standard score; in conjunction with the physiological metric, the system determines a real-time feeding score and a total feeding score. By comparing the real-time and total feeding scores at different time points, the system finally generates a feeding balance score of the patient. According to the method, food intake and physiological data are effectively integrated, a scientific and quantitative food intake evaluation tool is provided for surgical nursing, nutrition management of a patient is optimized, nursing quality is improved, the absolute value of the food intake is considered in the evaluation, the relevance between time distribution of food intake and physiological indexes is concerned, and the evaluation accuracy is improved. Therefore, more comprehensive and in-depth patient state information is provided for nursing personnel. Especially, due to the introduction of a feeding balance degree score, an important basis is provided for formulating a more reasonable nutrition intervention scheme.

The invention relates to an AI-driven online intelligent Internet of Things monitoring and evaluation method, system, equipment and medium for building group services, and the method comprises the steps: collecting and preprocessing environment parameters, equipment states and user data through a sensor network and a user interface, carrying out the clustering analysis through a dynamic Gaussian mixture model, and obtaining a clustering result; identifying and dividing a plurality of clusters or groups; analyzing and processing clusters or groups through a deep learning network to obtain an environment data analysis result, model prediction output and a user behavior analysis report, comprehensively evaluating the state of the building group through fuzzy synthesis operation, and generating a control strategy; and constructing an online sharing platform, and migrating a control strategy to other building groups by utilizing transfer learning to realize sharing of models, strategies and experience. According to the invention, many problems existing in a traditional Internet of Things system are solved, real-time data analysis, intelligent decision and system integration are realized, and the management efficiency of the building group and the user experience are significantly improved.

The invention relates to the technical field of unmanned aerial vehicle electronic data processing, provides an unmanned aerial vehicle formation collaborative planning method, and aims to solve the problem that an unmanned aerial vehicle formation cannot accurately fly according to a preset path due to high-altitude natural environment and electronic signal interference. A natural environment simulation model is established, unmanned aerial vehicle formation signal intensity and position are monitored in real time, a flight image is generated by using a digital twin model, and a flight path is dynamically corrected according to error information. The method comprises the steps of data acquisition, real-time communication configuration, signal detection and matching, flight image generation and formation adjustment, comparative analysis and dynamic correction and the like, through dynamic adjustment and genetic algorithm optimization, the unmanned aerial vehicle formation flies accurately, and the task execution efficiency and accuracy are improved. The method effectively solves the problem of unmanned aerial vehicle formation flight in a complex environment, and has a wide application prospect.

The invention discloses a cross-platform smart home control method and device, equipment and a storage medium, and the method comprises the steps: determining target equipment and to-be-converted instruction information corresponding to the target equipment in response to a user instruction; determining a protocol conversion rule suitable for the to-be-converted instruction information by using a pre-constructed instruction identification model; based on a protocol conversion rule, performing protocol conversion on the to-be-converted instruction information to obtain target instruction information of the target equipment; and controlling the target equipment to operate based on the target instruction information. According to the cross-platform smart home control method and device, the equipment and the storage medium disclosed by the invention, the problem that a user needs to use a plurality of application programs to control different smart equipment in an existing communication mode is solved, so that interoperability between different smart equipment is realized, different application programs do not need to be used to control different smart equipment, and the user experience is improved. The operation steps of the user are reduced, and the flexibility and expansibility of the smart home system are effectively improved.

The invention relates to the technical field of internet communities, in particular to a health medical internet community integrated management platform, and solves the problems that in the prior art, the information sharing degree between medical institutions is low, so that the doctor seeing information, electronic cases and the like of patients between different medical institutions cannot be shared, and the medical institutions cannot be managed. This increases the complexity and cost of medical services, and at the same time is also unfavorable for continuous health management of the patient. A health medical internet community integrated management platform comprises equipment compatibility: the platform can be compatible and integrated with various types of health detection equipment, including but not limited to a heart rate monitor, a sphygmomanometer, a glucometer and the like. According to the method, the convenience and the efficiency are improved, the time of the user is greatly saved by integrating diversified health detection equipment, and meanwhile, the user can more efficiently obtain medical knowledge and find suitable medical services through intelligent search and personalized recommendation functions.

The invention relates to the field of precision measurement and calibration, and discloses a control method for reference voltage divider calibration, which comprises the following steps: carrying out environment calibration on a current calibration environment based on correction data in a historical correction database, carrying out pre-detection on a to-be-referenced voltage divider to obtain pre-detection characteristics, and carrying out pre-detection on the to-be-referenced voltage divider according to the historical correction data. The reference voltage divider is subjected to thermal stabilization according to the current calibration environment, the reference voltage divider is calibrated after thermal stabilization is completed, the calibration module is controlled to calibrate the reference voltage divider according to data output by the reference voltage divider in the calibration process, and the reference voltage divider is calibrated after calibration is completed. Obtaining the output uncertainty of the calibrated reference voltage divider; and if the output uncertainty of the calibrated reference voltage divider is not greater than the standard output uncertainty of the reference voltage divider, the reference voltage divider is stable, and the calibration of the reference voltage divider is completed. According to the invention, through the automatic and intelligent calibration process, the calibration precision and efficiency are significantly improved.

The utility model relates to a double-pedal electric wheelchair, which belongs to the technical field of electric wheelchairs and comprises a seat component, a driving component, a front wheel component, a rear wheel component and a quick release fastener. The rear wheel assembly is connected with the driving assembly, the front wheel assembly is detachably connected with the driving assembly, the electric wheelchair is quickly disassembled for the first time, the driving assembly is detachably connected with the seat assembly, and the electric wheelchair is quickly disassembled for the second time; the front wheel assembly comprises a universal wheel set and an omni-directional wheel set, the universal wheel set and the omni-directional wheel set are each provided with a clamping strip, the quick-release buckles are detachably connected with the clamping strips and used for quickly replacing the universal wheel set and the omni-directional wheel set, and the quick-release front wheel assembly can be replaced under different road conditions, so that the electric wheelchair can be used in multiple scenes; according to the wheelchair, the adaptability and convenience are improved, a user can quickly adjust the configuration of the wheelchair according to different requirements and environments, the user can quickly complete replacement work by himself / herself without depending on professionals or special tools, replacement is convenient, and operation is easy.

The invention discloses a feature analysis and prediction method for drawing a depression patient based on a convolutional neural network, and belongs to the field of artificial intelligence and mental health. The method comprises the following steps: acquiring drawing image data of a depression patient and a healthy control group, and constructing a standardized data set; preprocessing such as denoising, size normalization and edge enhancement is carried out on the image; constructing a convolutional neural network model comprising four convolutional layers, two pooling layers and a feature fusion layer, and automatically extracting key features such as line definition, spatial layout and detail richness by adopting a variable receptive field mechanism and an attention module; correlation analysis is carried out in combination with scores of a clinical evaluation scale, and the model is optimized through transfer learning and a focus loss function; and generating a risk assessment report. According to the method, objectivity and accuracy of depression screening are remarkably improved, subjective evaluation deviation is reduced, visual decision support is provided for clinicians, and early recognition and intervention of depression are achieved.

The embodiment of the invention provides terminal equipment for satellite communication and a satellite network residing method, which are used for solving the problems of low signal strength, poor network stability, low service fluency and the like of the terminal equipment in the related technology. In the embodiment of the invention, the terminal equipment receives the position information of the terminal equipment sent by the GNSS module, and receives the earth-centered earth-fixed coordinates of the satellite sent by the satellite; according to the position information and the earth-centered earth-fixed coordinates, calculating a target azimuth angle and a target elevation angle when the terminal device points to the satellite; and controlling a display unit of the terminal equipment to display information of the target azimuth angle and the target elevation angle. And a user can conveniently adjust the angle of the terminal equipment based on the target direction angle and the target elevation angle, so that communication with a satellite is facilitated, and the signal strength, the network stability and the service fluency of the terminal equipment are improved.

The present disclosure relates to a polarization indication method and apparatus, a polarization determination method and apparatus, a communications apparatus, and a storage medium. The polarization indication method comprises: sending first indication information to a terminal, wherein the first indication information is used for indicating a target polarization mode used by communication between the terminal and a satellite in a non-terrestrial network. According to the present disclosure, after determining the target polarization mode, the base station may generate the first indication information indicative of the target polarization mode, and send the first indication information to the terminal, so that the terminal determines, according to the first indication information, the target polarization mode used by the communication with the satellite in the non-terrestrial network and thus communicates with the satellite by using the target polarization mode; when the terminal is prevented from communicating with the satellite, the polarization mode adopted by the terminal is different from a polarization mode adopted by the satellite, and good communication is ensured between the terminal and the satellite.

The invention relates to the technical field of protective covers, and discloses a multipurpose protective cover for infectious disease nursing, which comprises a mask body, an oxygen supply tube, an atomization tube and a collection device detachably connected with one end, far away from the mask body, of the catheter, a mounting cylinder is fixedly connected to the mask body, and a loudspeaker is mounted in the mounting cylinder. The outer wall of the loudspeaker is provided with a limiting assembly used for fixing the loudspeaker in the mounting cylinder, and a plurality of through holes are formed in the position, located in the mounting cylinder, of the mask body. According to the multipurpose protective cover for infectious disease nursing, when the protective cover is worn, the bandage is fixed to the fixing block through the pressing assembly, so that the protective mask can be suitable for patients with different head circumferences, through the loudspeaker detachably connected to the mask body, communication between the patients and medical staff can be facilitated, and when the mask body cannot be used continuously, the protective cover is convenient to use. The loudspeaker can be detached and installed on a new mask body, so that the loudspeaker can be recycled.

This application discloses an automated rendering optimization method based on visual UI. The method provides optimization for rendering images containing text content. To obtain a rendered image that achieves the desired effect in terms of graphic content, text content, and the fusion between the two, the fusion degree between the two is quantified during sample construction. This helps to convey information while expressing the aesthetic appeal of the image and restoring the designer's intention. Furthermore, the sample labels also indicate the position of the text content in the sample graph, allowing the image processing model to understand the relationship between the boundary and fusion degree between graphic and text content, thus better locating the text content. After the image processing model converges, it possesses the ability to locate the text content and distinguish it from the graphic content. This application provides the means to identify whether the rendering effect of an image needs further optimization.

The utility model discloses a display support of an X-ray machine in the technical field of X-ray machines, which comprises a support plate, the top of the support plate is rotatably connected with a support shaft, the top of the support shaft is fixedly provided with a support seat, and the front side and the rear side of the support seat are both fixedly provided with a first handle. The supporting seat can rotate by 360 degrees on the supporting plate through the supporting shaft, a worker can rapidly rotate the supporting seat through the first handles on the front side and the rear side of the supporting seat, and therefore the transverse angle of the displayer can be conveniently adjusted, the two fixing plates are fixedly installed at the top of the supporting seat, and the connecting seat is rotationally connected between the two fixing plates, so that the displayer is convenient to adjust. The display instrument is installed at the top of the connecting base, a worker can quickly pull second handles on the left side and the right side of the display instrument, so that the vertical angle of the display instrument can be conveniently adjusted, multi-directional angle adjustment of the display instrument is achieved, and communication with a patient is facilitated.