63results about How to "Improve persuasiveness" patented technology

The invention provides a twin power station collision visual simulation method and system based on physical simulation, and relates to the technical field of data processing, and the method comprises the steps: obtaining a three-dimensional geometric model of a twin power station, carrying out space division, extracting geometric parameters, obtaining material data, constructing a material correlation model and a mechanical model, and carrying out fusion to obtain a physical simulation model; acquiring initial collision condition parameters as boundary conditions, performing local grid encryption, constructing a nonlinear kinetic equation of a collision process, performing time domain solution, determining equivalent stress distribution and equivalent plastic strain distribution, and generating a collision result; judging whether plastic deformation or fracture failure occurs, generating full collision process physical field data, generating a collision animation frame sequence, generating a stress distribution cloud picture and a plastic strain cloud picture, constructing a fracture special effect, and comprehensively generating a collision visual scene.

The invention belongs to the technical field of intelligent disaster prevention, and particularly relates to a digital twinborn intelligent operation, maintenance and evaluation system for energy dissipation and shock absorption parts. The system comprises an intelligent sensing module, a fidelity reduced-order model and a virtual-real interaction intelligent decision-making module, and a solution is provided for intelligent operation and maintenance of energy dissipation and shock absorption parts by integrating and adopting a digital twin technology, an internet of things technology, an edge computing technology and other technologies. According to the method, a digital twinborn technology is adopted to establish a fidelity virtual twinborn body of the energy dissipation and shock absorption part, the overall performance state of the part is perspective through a virtual sensor means, and a new technology is provided for whole-life-cycle operation and maintenance of the part. By means of the technology, the performance state of the core component of the engineering structure can be mastered in real time, the core component can be kept in a full-time online transparent state in the whole life cycle, and the anti-disaster toughness capacity of the engineering structure is improved on the whole.

The invention discloses a form and data visual display method and system based on a low-code platform, and belongs to the technical field of software development, and the method is implemented by the following steps of: visually creating a form, and providing a core component for creating the form based on a webpage draggable technology so as to create a complete form meeting business requirements; the drag configuration comprises form layout configuration and form item configuration; persisting the form, storing configuration data of the form in a database, materializing a table structure, and storing a JSON object of configuration of the form; setting a form data model; setting access authority; accessing by a form filling person; performing dynamic rendering; and storing the filling data of the form filling person. According to the method, a large amount of repeated work can be solved, more concerned services can be developed, the efficiency can be quickly improved, the research and development cost can be saved, and meanwhile flexibility is kept.

The invention relates to the technical field of intelligent voice interaction, in particular to an AI mobile phone voice interaction method oriented to automatic marketing, which comprises the following steps of: providing a comprehensive basis for personalized marketing and improving the marketing pertinence by recognizing a user emotional state and a real-time user intention in parallel and mastering the user state; an emotion state transition network is dynamically constructed and updated, key indexes are extracted, and a user emotion change rule is analyzed, so that an interaction strategy is accurately adjusted; semantic fragments are recombined by combining emotional stability and emotional infection degree indexes, adaptive dynamic marketing verbal skill is generated, the attraction and persuasion of the verbal skill are enhanced, and the marketing effect is improved; the local NPU is utilized to synthesize emotional voices and superpose features, so that natural and vivid interaction experience is provided, and recognition of a user on marketing content is enhanced; through dynamic decision-making verbal skill strategy cross-scene switching, timely adjustment is carried out according to user changes, marketing strategy stiffness is avoided, and the marketing success rate is guaranteed.

The invention discloses a tourism advertisement marketing system based on big data, and relates to the field of advertisement putting, and the system comprises the following components: an intelligent putting and social promotion module which accurately puts an advertisement to a target audience according to an analysis result of a user relation network, and simultaneously puts the advertisement to the target audience through sharing, forwarding and interaction functions of a social media platform; according to the system, a user can be guided to participate in propagation and promotion of advertisements, the system can also adjust a putting strategy in real time according to feedback and interaction data of the user, the propagation effect and conversion rate of the advertisements are improved, and through a reinforcement learning algorithm adopted by the intelligent putting and social promotion module, the characteristics of social media are fully utilized; through sharing, forwarding and interaction functions, the advertisement can be quickly spread in the user relation network, so that the spreading range of the advertisement can be expanded, the number of potential customers can be increased, the credibility and persuasion of the advertisement can be improved, and the advertisement can be more easily trusted and recognized by other users.

The invention discloses a tight-lock coupler intelligent tensile testing machine and a testing method thereof, and belongs to the technical field of tight-lock coupler test.The tight-lock coupler intelligent tensile testing machine comprises a mounting bottom plate and an electric control cabinet, and a support for supporting a tight-lock coupler to be detected is mounted on the surface of the mounting bottom plate; a tensile connecting frame for connecting the tight-lock coupler is mounted on the surface of the bottom plate on one side of the support, an integrated design of'tensile force detection and visual detection 'is innovatively adopted, mechanical parameter acquisition and visual deformation observation are combined, traditional mechanical data such as tensile force and displacement are obtained, and visual characteristics such as fine deformation and crack initiation are captured; precise synchronization of pulling force application, displacement collection and camera shooting is achieved through the synchronous controller, the real-time corresponding relation of pulling force-displacement-visual deformation is established, the problems that an existing device is single in detection dimension and poor in data relevance are solved, and the potential quality hazard checking capacity and the persuasion of a detection result are improved.

The invention relates to a traffic illegal behavior analysis method, device and equipment and a storage medium, and the method comprises the following steps: carrying out the real-time monitoring of a road through a camera, and obtaining the real-time monitoring video data; performing behavior analysis on the vehicle in the real-time monitoring video data to obtain a behavior analysis result; if the behavior analysis result shows that traffic illegal behaviors exist in the vehicles on the road, feature extraction is carried out on the vehicles with the traffic illegal behaviors in the real-time monitoring video data, and illegal vehicle extraction features are obtained; through a preset positioning system, based on illegal vehicle extraction features, determining a position corresponding to the illegal vehicle; encrypting the position corresponding to the illegal vehicle and the behavior analysis result corresponding to the illegal vehicle, generating an evidence chain data block, and sending the evidence chain data block to the law enforcement terminal; the problem that the urban traffic jam and potential safety hazards are aggravated due to the fact that comprehensive and effective supervision is difficult to achieve through a traditional means and many traffic illegal behaviors cannot be found and processed in time is solved.

A filter assembly sealing detection device disclosed by the present invention comprises a synchronous driving device, an automatic loading and unloading assembly, a pressure detection assembly, a water immersion detection assembly and a PLC console, the synchronous driving device comprises a lifting carriage and a lifting toothed bar, and the automatic loading and unloading assembly comprises a chain plate type conveyor and a sliding material seat assembly. The pressure detection assembly and the water immersion detection assembly are arranged on the surface of the lifting sliding frame and the inner wall of the chain plate type conveyor respectively. According to the invention, comprehensive automation of the sealing performance detection of the filter assembly is realized, an efficient loading and unloading operation function is integrated, the labor intensity of workers is greatly reduced, the working efficiency is remarkably improved, and the application of the automation technology effectively reduces human errors and loss in the production process, so that the production cost is reduced, and the production efficiency is improved. The introduction of the automatic production line remarkably improves the overall productivity of the production line, so that enterprises can quickly respond to market requirements, and the market competitiveness is improved.

The invention relates to the technical field of production line safety monitoring, in particular to a safety monitoring system for a passivated magnesium powder process production line. By comprehensively monitoring and analyzing the raw material conveying flow, the pipeline pressure and the apparent condition corresponding to each sub-production line area and correspondingly analyzing the raw material conveying state corresponding to each sub-production line area, potential problems in the raw material conveying link can be found in time, and stability and safety of raw material conveying are guaranteed; by monitoring and analyzing the raw material conveying process, the melting process, the atomizing process, the passivating process and the drying process in the passivated magnesium powder process production line corresponding to each sub production line area, the one-sidedness of safety monitoring in the prior art is effectively solved, and the comprehensive and intelligent monitoring and analysis of the passivated magnesium powder process production line are realized; safety accidents caused by abnormities of all links of a passivated magnesium powder process production line are avoided, and meanwhile the product quality of passivated magnesium powder is effectively guaranteed.

The invention discloses a driving style recognition system based on a natural driving database, and relates to the technical field of automobile driver driving style recognition, and the key point of the technical scheme is that the driving style recognition system comprises a feature extraction module, an offline clustering analysis module and an online recognition and verification module. According to the invention, a driving style identification system based on a natural driving database is established, and feature extraction and clustering analysis are carried out on a high-dimensional large-volume database, so that the driving style of a driver is effectively identified; according to the system, the comfort of the vehicle is considered, the vehicle state response representing the riding comfort is introduced into a driving style recognition model, the recognition precision of the driving style is effectively improved, a feasible scheme is provided for analysis and processing of vehicle high-dimensional mass sample data in China, and meanwhile, the driving style recognition precision is improved. The system can provide technical support for safe driving and riding comfort of the vehicle.

The invention provides an enterprise diagnosis report generation method and system based on AI, and relates to the technical field of enterprise management.The method comprises the steps that different industries are divided, key steps of business processes of all the industries are divided, process indexes are set, sorting weights of different types of key steps are obtained, importance sorting is conducted on the process indexes through the sorting weights, and the process indexes are obtained; classification dimensions are added, and a structured index library is constructed; evaluation questionnaires of different industries and the number of questions for different types of key steps are set through the index library, and diagnosis expert evaluation logic is implanted; setting a plurality of diagnosis models, and selecting a proper diagnosis model according to the content of the evaluation questionnaire, the matching degree of the models and the recognition degree of different cities to the models; the enterprise data and the diagnosis model are collected through the evaluation questionnaire, and a diagnosis result is obtained; the diagnosis report is generated through the AI, so that the data processing efficiency and accuracy are improved, and the customized diagnosis report can be provided.

The invention discloses a composite model for identifying public health false information and a construction method, and relates to the technical field of information data processing, and the composite model comprises a data acquisition module, an information processing and analysis module, a false information identification module and a rumor reverse module. An advanced natural language processing technology and a large language model are adopted, so that the system can accurately and quickly recognize false information and rumors from a large amount of information, the accuracy and speed of false information recognition can be improved, meanwhile, a continuous learning and optimization mechanism is included, new false information strategies can be continuously adapted, and the recognition efficiency is improved. And the progress of related technologies and the updating of public health knowledge are promoted, so that false information is intervened in time, the market and social order can be maintained, and the economic loss caused by panic is reduced.

The application discloses a kind of ship intelligent navigation algorithm simulation verification system and test method, the system uses four-layer modular structure, including: virtual navigation environment module, standardization data interaction module, algorithm execution module, quantitative evaluation module;Between each module, standardization data interaction module is realized two-way data transmission, forms the complete simulation verification system capable of independent test and closed-loop operation.The method, using the system, the steps are: step 1: build inland virtual navigation scene, step 2: select test mode and configure algorithm, step 3: start simulation and data acquisition, step 4: evaluation index calculation, step 5: generate verification report.The algorithm unit of the application can be independently accessed to test, without overall reconstruction, perception, decision-making, control algorithm can be quickly adapted, greatly reduce the difficulty of integration debugging, improve algorithm development and verification efficiency, effectively shorten the intelligent ship development cycle.

The application discloses a traditional Chinese medicine property analysis system and method, and a computer readable storage medium. The system comprises an information acquisition unit, a first analysis unit, a quantification unit and a second analysis unit. The method comprises grouping patients with consistent conditions and grouping traditional Chinese medicines according to different influencing factors; analyzing the influence of different influencing factors of traditional Chinese medicines on treatment effects; analyzing the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects; and analyzing the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines. The application analyzes the influence of different influencing factors of traditional Chinese medicines on treatment effects, further obtains the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines, and thus obtains the dosages of traditional Chinese medicines suitable for the current situation according to the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects, which is favorable to increasing the accuracy of the dosages of traditional Chinese medicines, strengthening the comprehensive understanding of the properties of traditional Chinese medicines, enhancing the modernization degree of traditional Chinese medicine, improving the persuasiveness and reliability of traditional Chinese medicine, and being favorable to the international development of traditional Chinese medicine.

The invention discloses a target voice generation method and system. The method comprises the following steps: acquiring a first voice, a second voice and a target text; extracting information features according to the first voice; extracting style features according to the second voice; extracting phoneme corresponding features according to the target text; and generating a target voice according to the information feature, the style feature and the phoneme corresponding feature. According to the invention, on the basis of the information feature of the first voice, the style feature of the second voice is further integrated; even if the training samples are limited, the audio of any speaker in diversified scenes can be flexibly generated, so that the dimension and depth of audio expression are greatly enriched; moreover, the fusion of the cross-speech features remarkably improves the expressive power and persuasion of the target speech, enables the target speech to be closer to the emotion concentration of real human communication, and can greatly improve the naturalness of the target speech, thereby causing the resonance of audiences.

This invention relates to the field of simulation demonstration devices, providing a water-voltaic effect simulation device based on electrolytic color development, comprising a water-voltaic power generation module and an electrolytic color development module. The water-voltaic power generation module includes a water-voltaic effect thin film and a circulation mechanism, while the electrolytic color development module includes a transparent electrolytic cell, an inert electrode pair, and a standard electrolyte. The weak electrical signal generated by the water-voltaic power generation module is directly applied to the inert electrode pair, directly driving the electrolytic reaction within the transparent electrolytic cell without the need for external amplification circuitry. The electrolytic color development module simultaneously displays the instantaneous power and accumulated charge of the water-voltaic power generation module through the cathode bubble generation rate and the color change area of ​​the acid-base indicator near the cathode. This invention requires no external power supply amplification, intuitively demonstrates the conversion relationship between electrical energy and chemical energy, supports multi-water quality variable control experiments, and is suitable for teaching demonstrations in university physics, materials, and environmental courses.

The invention provides an agricultural crop water-saving potential evaluation method. The method comprises the following steps: carrying out basic data collection on an evaluation area; carrying out crop production water footprint calculation based on the basic data; determining a crop field production water footprint reference based on the crop production water footprint; and performing agricultural crop water-saving potential evaluation based on the crop production water footprint and the crop field production water footprint benchmark. According to the method, meteorological data, crop production data, soil data and irrigation data are comprehensively collected, production water footprint calculation is carried out on an evaluation area, comprehensive evaluation of agricultural water-saving potential is achieved, meanwhile, a production water footprint criterion suitable for the area is constructed through the crop cumulative yield, and the accuracy and persuasion of an evaluation result are further improved.

The present invention relates to the technical field of digital delivery of coal construction projects, and specifically discloses a digital delivery analysis and management system for coal construction projects, the system comprising: a mine area division module, a mine explosion-proof monitoring and analysis module, a cloud database, a mine fire prevention monitoring and analysis module and a mine safety delivery analysis module; the present invention constructs a three-dimensional information model of a target mine, and analyzes the explosion-proof performance evaluation index of the target mine and the working accuracy of the fire prevention equipment, so as to judge whether the target mine can be delivered, effectively solving the limitation problems existing in the current delivery safety test at the two levels of explosion-proof and fire prevention, ensuring the safety of construction personnel, reducing the possibility of accidents, ensuring the safe operation of coal construction projects, and at the same time providing a clear direction for the adjustment and improvement of subsequent mine mining projects, and improving the mining efficiency and mining quality of mine mining projects.

The invention discloses a curriculum commodity personalized recommendation method and device, a terminal and a storage medium, and relates to the field of commodity recommendation. The method comprises the following steps: acquiring client target data and multi-dimensional current situation data to perform state quantification to obtain a quantized state set, constructing a course logic relation graph, mapping knowledge level differences to graph effective nodes, performing topological sorting and time resource filtering to obtain candidate learning paths, and performing learning on the candidate learning paths. And calculating the comprehensive gain value of the candidate learning path, and selecting the path corresponding to the highest value as a personalized recommendation path. Meanwhile, the method also comprises a rapid recommendation step for new customers or data sparse customers. The technical effects of providing a personalized course commodity recommendation scheme according to the actual condition of the customer, improving the accuracy and effectiveness of recommendation, saving the learning time for the customer, improving the learning effect and facilitating the new customer to quickly obtain proper recommendation are achieved.

The invention discloses a test simulation device for fracturing base collapse type tower-column-shaped dangerous rock in the technical field of dangerous rock collapse, and the device comprises a supporting plate, a six-degree-of-freedom assembly is hinged to the top wall of the supporting plate, a base plate is hinged to the top of the six-degree-of-freedom assembly, a case is fixedly connected to the top wall of the rear part of the base plate, and a display controller is fixedly connected to the bottom of the side wall of the case. A push rod assembly, an acid spraying assembly and a hydraulic machine are sequentially arranged in the machine box from bottom to top, a plurality of hooks are fixedly connected to the top walls of the three sides of the periphery of a pressing plate, facing the lower portion, of the hydraulic machine, anchor net assemblies are hung on the hooks, and all the assemblies and the hydraulic machine are in signal connection with a display controller. According to the dangerous rock collapse simulation device, the simulation structures for different dangerous rock collapse influence factors and the anchor net for monitoring the internal and external parameters of dangerous rock collapse are arranged, so that relatively simulated dangerous rock collapse simulation and monitoring are realized, and detailed test data support is provided for researching dangerous rock collapse disasters.

The invention relates to the technical field of pharmaceutical and chemical rectifying tower energy consumption remote control, and particularly discloses a pharmaceutical and chemical rectifying tower energy consumption remote control system. The system comprises a tower kettle temperature conformity analysis module, a tower kettle reboiler temperature control module, a condensation temperature conformity analysis module, a tower top condenser temperature control module, a product energy consumption reasonability feedback module and a database. By analyzing the tower kettle temperature conformity, confirming the temperature of the tower kettle reboiler, analyzing the condensing temperature conformity, confirming the temperature of the tower top condenser, analyzing the product energy consumption reasonability corresponding to the target rectifying tower and feeding back, the accuracy of temperature regulation of the tower kettle reboiler is improved, the condensing efficiency of the rectifying tower is improved, and the product quality is improved. Therefore, the energy consumption of the rectifying tower is reduced, the production cost of the rectifying tower is reduced, and meanwhile, the timeliness of finding and processing the abnormal condition of the energy consumption of the rectifying tower is improved.

The invention relates to the technical field of optical surface shape detection, in particular to an optical surface shape full-band error analysis method based on a frequency domain attention mechanism, and the method comprises the steps: obtaining a surface shape detection result data set and a full-band error data set; based on spatial distribution of different frequency band information in a frequency domain, constructing a frequency domain attention mechanism, and obtaining and constructing a low-frequency error extraction neural network, an intermediate-frequency error extraction neural network and a high-frequency error extraction neural network with the frequency domain attention mechanism; respectively training the three error extraction neural networks by using the surface shape detection result data set and the full-band error data set to obtain three corresponding error extraction neural models; and respectively inputting the surface shape detection result of the optical element to be detected into the three error extraction neural models, and respectively extracting a low-frequency error, an intermediate-frequency error and a high-frequency error. The method provided by the invention has relatively high universality, does not introduce human subjective errors, and is high in analysis precision.

The invention relates to an interpretable high-resistance grounding fault artificial intelligence identification method and system, and the method comprises the following steps: building a radiation type power distribution network model through simulation software, and collecting the zero-sequence current signals of an HIF signal and a non-HIF signal through the simulation software; performing multi-layer wavelet decomposition on the acquired zero-sequence current signal by using discrete wavelet transform; calculating a standard deviation of the detail coefficient of each level as a fault feature; constructing a fault feature data set; using the training set to train the constructed HIF recognition model of the high-resistance grounding fault, and establishing nonlinear mapping between fault features and recognition results; testing the trained HIF recognition model by using a test set, and then calculating an average value of the output of the test set as a prediction reference value of the HIF recognition model to a test set sample; and on the basis of the obtained prediction reference value, according to the SHAP attribution theory, local interpretation and global interpretation are performed on the decision basis for realizing fault recognition of the HIF recognition model.

The invention discloses a DCS system controller switching stability test method and device. Continuous pulse signals are provided for DI by opening / closing contacts of a switching signal generator, DI signals are directly transmitted to DO in a control system, controller switching is simulated in the receiving and transmitting process of the control system, and after switching is completed, DO output waveforms are checked; if the DO waveform can keep a complete continuous pulse waveform, the switching process of the controller is not disturbed, namely, the switching stability of the controller is higher; if the DO waveform is delayed for a plurality of cycles, the larger the number of the delayed cycles is, the larger the disturbance in the switching process of the controller is, namely the worse the switching stability of the controller is. The stability of the system when the controller is switched is judged from the perspective of data, the judgment is accurate and reasonable, and the test method is simple, convenient and feasible.

The invention provides a biomarker for predicting the treatment response of an ovarian cancer patient to a VEGFR (vascular endothelial growth factor receptor) inhibitor and application of the biomarker, and finds that the fat volume of the ovarian cancer patient can be used as the biomarker for predicting the curative effect of the VEGFR inhibitor to tumors. Based on two markers of visceral fat volume and subcutaneous fat volume, an SAS trajectory analysis model is constructed, and clinical benefit people of an ovarian cancer VEGFR inhibitor treatment scheme are screened out; further in-vitro co-culture and in-vivo animal experiments prove that the existence of fat cells can specifically enhance the anti-tumor effect of the VEGFR inhibitor, and clinical correlation is explained from a biological mechanism; the invention provides a new tool and theoretical basis for realizing individualized precise medication of ovarian cancer targeted therapy.

The present invention relates to the technical field of intelligent analysis of noise reduction effects of noise reduction headphones, and specifically discloses an intelligent analysis system for noise reduction effects of noise reduction headphones based on test data, the system comprising: a noise reduction headphone sound state analysis module, a cloud database, a noise reduction headphone environmental adaptability analysis module, a non-noise reduction headphone sound comparison analysis module and a comprehensive noise reduction analysis feedback module; the present invention analyzes the comprehensive noise reduction index of the noise reduction headphones in the current production batch by analyzing the noise reduction adaptability of the noise reduction headphones in the current production batch corresponding to the noise environment level and the noise reduction difference between the noise reduction headphones and the non-noise reduction headphones, thereby analyzing the comprehensive noise reduction index of the noise reduction headphones in the current production batch and providing feedback, thereby intuitively demonstrating the noise reduction effect of the noise reduction headphones, realizing multi-dimensional analysis of the noise reduction effect of the noise reduction headphones, improving the persuasiveness of the comprehensive noise reduction index analysis of the noise reduction headphones, and simultaneously improving the user experience and satisfaction with the noise reduction headphones.

The application provides a kind of thermal protection interlock logic knowledge base construction method and system, comprising: based on graph database construction knowledge graph;Combining the initial knowledge item generated by preset hazard dimension, and retrieve the citation basis related to initial knowledge item from multi-source thermal data, the citation basis is associated with initial knowledge item, form the knowledge item after association;The associated knowledge item is verified in multiple rounds, and the verification includes calling the existing knowledge in the knowledge graph for logical self-checking, cross verification with historical knowledge items and backstepping verification based on accident cases, and output the knowledge item that passes the verification;Continuously monitor the thermal data source, generate knowledge update proposal based on the knowledge item that passes the verification, and update the knowledge graph and knowledge item after compatibility verification and artificial review of the update proposal.The application reduces the risk of knowledge deviation caused by human error through automated process and multiple verification mechanisms.

The invention belongs to the technical field of obstetrics and gynecology disease prediction, and particularly relates to a premature fetal membrane premature rupture prediction marker based on maternal circulation exosome microRNA and an application kit. According to the invention, placentas, fetal membranes and plasma exosomes of pregnant women with full-term birth and premature birth premature rupture of fetal membranes are collected for sequencing, the fetal membrane-derived exosome hsa-miR-145-3p which can be detected in the plasma exosomes is screened out in combination with a verification set, and the cell source and the premature birth promoting effect of the fetal membrane-derived exosome hsa-miR-145-3p are respectively clarified at a cell level and an animal level; and finally, by detecting the level of the plasma exosome hsa-miR-145-3p of the pregnant 12 (+ 1)-17 (+ 6) perimaternal body, the efficiency (AUC = 0.833) of the exosome in predicting the occurrence of premature rupture of fetal membranes in premature delivery is illustrated. According to the method, the high-risk crowd of the pPROM can be predicted through a noninvasive method in the early and middle stages of pregnancy, and the method has guiding significance for subsequent prevention and intervention of the high-risk crowd.

The application discloses an interpretable analysis and decision sharing verification method and system for a colorectal cancer prognosis model, and relates to the field of medical artificial intelligence interpretability. The method comprises the following steps: performing gradient weighted class activation mapping analysis on the prognosis model to generate an image heat map; calculating the contribution degree of multi-modal features by using a SHAP interpreter; constructing an integrated visualization interface to present the patient data, model prediction and the above-mentioned explanation results to doctors; the doctors perform independent risk assessment based on the interface information; and finally, the decisions of the doctors and the model are compared to evaluate the auxiliary performance of the model. Through multi-level explanation and innovative doctor-model decision sharing verification mechanism, the transparency and clinical credibility of the complex AI prognosis model are significantly improved, the value of time series data in dynamic risk assessment can be verified, and the clinical landing application of the AI model is effectively promoted.