Intelligent temperature-control humidifying auxiliary breathing nursing device for breathing critical patient

Abstract

The invention relates to the technical field of breathing assisting devices, in particular to an intelligent temperature-control humidifying breathing critical patient assisting breathing nursing device which comprises a global perception fusion central system used for constructing a high-frequency biological characteristic thermodynamic map analysis layer and generating a particulate matter deposition energy level distribution model; forming a composite feature matrix; the self-adaptive airflow modulation matrix system is used for implanting a multi-order recursive calibration engine on the basis of a composite characteristic matrix, a spanning compensation strategy is generated through vectorization processing of a clinical characteristic curve, and a viscous resistance spectrum variation value of an expiratory phase triggers a self-consistent conversion mechanism every time; a dynamic balance point of an aerosol dispersion speed and a water molecule phase change threshold value is autonomously balanced, and a nanoscale lubricating interface of a gas transmission channel is maintained in real time; and the hierarchical response execution network system is used for designing a three-phase interlocking decision tree structure based on a thermodynamic energy level envelope line output by the compensation strategy. According to the invention, a brand new clinical response form exceeding linear control is constructed.

Description

Technical Field

[0001] The present invention relates to the technical field of respiratory assistance devices, and in particular to an intelligent temperature-controlled and humidified respiratory assistance care device for critically ill patients. Background Art

[0002] In assisted respiratory care for critically ill patients (such as those undergoing mechanical ventilation or tracheostomy), oxygen heating and humidification are crucial for maintaining airway function and reducing complications. Traditional oxygen therapy uses simple humidifier bottles or heated baseplates to achieve gas heating and humidification, but these methods suffer from low temperature control accuracy, delayed humidity regulation, and an inability to dynamically respond to the patient's physiological needs. Critically ill patients, due to their limited or incomplete spontaneous breathing ability, are extremely sensitive to oxygen temperature and humidity. A significant difference between oxygen temperature and nasal temperature (33-35°C) can lead to airway mucosal damage, secretion retention, and the risk of ventilator-associated pneumonia (VAP). Current technologies lack multi-parameter fusion analysis capabilities, preventing personalized and dynamic regulation. Furthermore, the heating, humidification, atomization, and secretion management modules operate in isolation, resulting in low collaborative efficiency. Therefore, the present invention provides an intelligent temperature-controlled and humidified assisted respiratory care device for critically ill patients. Summary of the Invention

[0003] In order to achieve the above object, the present invention adopts the following technical solutions:

[0004] In one aspect of the present invention, there is provided an intelligent temperature-controlled and humidified respiratory care device for critically ill patients, comprising:

[0005] The global perception fusion central system is used to construct a high-frequency biometric thermal map analysis layer and generate a particle deposition energy level distribution model; forming a composite feature matrix including temperature field gradient, molecular replacement efficiency, and liquid film oscillation frequency;

[0006] The adaptive airflow modulation matrix system is used to embed a multi-order recursive calibration engine based on a composite characteristic matrix. It generates a leapfrog compensation strategy through vector processing of clinical characteristic curves. Each variation in the viscosity-resistance spectrum during the expiratory phase triggers a self-consistent conversion mechanism, autonomously balancing the dynamic equilibrium point between the aerosol diffusion velocity and the water molecule phase transition threshold, and maintaining the nano-level lubricated interface of the gas transmission channel in real time.

[0007] A hierarchical response execution network system is used to design a three-phase interlocking decision tree structure based on the thermodynamic energy level envelope output by the compensation strategy.

[0008] In an optional embodiment, the perception layer in the global perception fusion central system embeds a micro-environment fluctuation detection chain to capture the subthreshold changes in the dielectric properties of the mucosal surface at millimeter-level time resolution, forming a composite feature matrix including temperature field gradient, molecular replacement efficiency and liquid membrane oscillation frequency.

[0009] In an optional embodiment, the global perception fusion central system includes:

[0010] The cloud map conversion module is used to perform spatiotemporal decoupling of the original pressure oscillation wave based on a multimodal sensor array. It captures the time-frequency characteristics of the dynamic load on the airway wall through pressure sensing nodes and decomposes the three-dimensional pressure pulsation into intrinsic mode components with spatiotemporal orthogonality. The gradient enhancement mapping algorithm constructs a dynamic weight convolution kernel to perform nonlinear interpolation on the phase offset of the pressure waveform in adjacent respiratory cycles, forming a differential phase topology cloud map that can characterize the local turbulence intensity. This maps the non-uniform deposition probability field of particles in the branched airways.

[0011] The signal calibration module is used to use the deposition energy level distribution of the non-uniform deposition probability field as the initial constraint condition, and to invert the molecular migration rate caused by the temperature gradient by establishing the transfer function between the complex impedance spectrum and the liquid film thickness;

[0012] The tensor generation module is used to perform cross-scale feature aggregation, reconstruct the composite matrix under the framework of thermodynamic conservation, input the calibrated molecular replacement efficiency parameters into the hyperbolic partial differential equation, and solve the nonlinear effect of the temperature field gradient on the evaporation and condensation rate; at the same time, the liquid film oscillation frequency is stripped from the original dielectric signal of the differential phase change of the patient's airway pressure, and convolved with the eddy attenuation coefficient of the particle deposition energy level distribution model to generate a three-dimensional feature tensor with spatiotemporal correlation.

[0013] In an optional embodiment, after the directional sampling mechanism of the micro-environment fluctuation detection chain of the signal calibration module is triggered by the spatial weight coefficient of the deposition energy level distribution model: the transient response of the dielectric constant of the mucosal surface is synchronously measured by the electric field coupled probe array within the millimeter time slice; the transfer function of the liquid film thickness and the complex impedance spectrum is established, and the molecular migration rate caused by the temperature gradient is inverted; the original dielectric signal of the differential phase change of the patient's airway pressure is injected with the spatial weight coefficient for regional calibration.

[0014] In an optional embodiment, the weight distribution of the temperature conduction path of the tensor generation module is determined by the deposition energy level distribution; the energy dissipation boundary condition of the liquid film oscillation is modified by the molecular replacement efficiency; and the spatiotemporal correlation characteristics are constructed by the convolution operation of the vortex attenuation coefficient and the liquid film oscillation frequency.

[0015] In an optional implementation, the cloud image conversion module includes:

[0016] The modal decoupling and phase offset quantification submodule is used to extract the intrinsic modal components of the respiratory cycle using a spatiotemporal orthogonal decomposition algorithm based on the three-dimensional pressure pulsation signal captured by the multimodal sensor array. Each modal component corresponds to the fluid vibration characteristics of a specific frequency band, and its phase information is encoded as a rotation vector with spatial coordinate dependence. The difference in rotation angle of each modal vector in adjacent respiratory cycles is quantified into a phase offset matrix, in which each element value represents the flow field reconstruction delay coefficient at a specific anatomical location of the airway.

[0017] The dynamic weighted convolution kernel construction submodule is used to generate a convolution kernel structure with adaptive adjustment capabilities based on the statistical distribution characteristics of the phase offset matrix according to the gradient enhancement mapping algorithm. The value of each weight unit in the kernel is dynamically controlled by two parameters: the local eddy current intensity gradient, which is derived from the energy decay rate in the respiratory cycle deposition energy level distribution model; and the viscoelastic coefficient of the mucosal interface, which is normalized by the liquid membrane oscillation frequency spectrum fed back by the signal calibration module.

[0018] The nonlinear phase interpolation and turbulence field reconstruction submodule is used to handle spatiotemporal discontinuities when applying the dynamic convolution kernel to the phase offset matrix using an asymmetric interpolation strategy. For regions of geometric mutation, such as the main bronchial bifurcation, a spatial constraint factor provided by the deposition probability field is introduced to generate a smoothly transitioned phase gradient tensor using a constrained minimum curvature algorithm. The modulus of each vector in the phase gradient tensor corresponds to the local flow velocity shear rate, and the direction represents the spatial orientation of the vortex main axis.

[0019] The differential phase cloud map generates a phase gradient and inputs the phase gradient tensor into the energy level density conversion module. By solving the flow field kinetic energy conservation equation, the vector field information is converted into a scalarized turbulence intensity distribution map. In this process, the attachment area coordinates of the secondary flow vortex in the deposition energy level model are used as feature enhancement anchor points, so that the cloud map automatically improves the resolution at the distal end of the airway bifurcation. In the generated topological cloud map, the contour line spacing reflects the amplitude of the shear stress fluctuation on the airway wall, and the color depth maps the potential risk level of inertial deposition of particulate matter.

[0020] In an optional embodiment, an adaptive airflow modulation matrix system is used to implant a multi-order recursive calibration engine based on a composite characteristic matrix, using the laryngeal fluid mechanics incremental parameter as the core independent variable to establish a bidirectional coupling model of chaotic vibration state and environmental response.

[0021] In an optional embodiment, the adaptive airflow modulation matrix system includes:

[0022] The initial parameter injection module is used to convert the temperature field gradient parameter into the boundary constraint value of the throat fluid dynamics increment using the liquid film oscillation frequency in the composite characteristic matrix as the initial condition of chaotic vibration. The molecular replacement efficiency parameter is used as the environmental response benchmark and is encoded into the base coordinate system of the three-dimensional state space.

[0023] The recursive calibration module uses a multi-order recursive calibration engine to extract the coordinates of high-density regions in the particle deposition energy level distribution model, map them to the dielectric property change curve of the mucosal surface, and generate the first set of vibration modal weight coefficients. The differential phase change of airway pressure is converted into a Lyapunov exponent correction term for the chaotic system through vector processing of the clinical characteristic curve.

[0024] The bidirectional coupling construction module is used to construct a six-dimensional phase space containing a strange attractor using the phase change spectrum output by the gradient enhancement mapping algorithm on the vibration state side. The trajectory envelope of the strange attractor forms a conjugate pair with the environmental response parameter. On the environmental response side, the secretion viscosity distribution curve is located by Rayleigh scattering wave interferometry to generate a dynamic viscosity tensor and project it into the phase space to form a damping force field constraint layer.

[0025] The dynamic equilibrium solution module is used to execute the following iterative process when the entropy oscillation triggers the magnetofluid constraint: the thermodynamic energy level envelope is discretized into a sequence of aerosol mobility characteristic values, the phase change trajectory of water molecules is modulated using a micron-scale plasma array pulse signal, and the three-phase interlocking decision tree is used to verify whether the viscous resistance spectrum variation value is in the Nash equilibrium interval. If it exceeds the threshold, it returns to the recursive calibration stage to update the weight coefficient; the final equilibrium point is manifested as the energy propagation path of the mucosal dominant attachment point and the microenvironment cell dynamic oscillation mode reaching synchronous convergence.

[0026] In an optional embodiment, the bidirectional coupling building module includes:

[0027] The gradient enhancement mapping submodule is used to reconstruct the original phase change spectrum in the gradient domain based on the first set of vibration modal weight coefficients output by the recursive calibration module. High-frequency oscillation components are extracted through nonlinear filtering and convolved with the liquid film oscillation frequency to generate an enhanced phase spectrum with multi-scale characteristics. Singular points in the phase spectrum correspond to the coordinates of high-density regions in the particle deposition energy level distribution model, forming a preliminary topological association.

[0028] The dynamic embedding submodule is used to decompose the time-frequency characteristics of the enhanced phase spectrum into six sets of orthogonal basis functions, each corresponding to a phase space dimension. The transient extreme points of the phase spectrum are mapped to unstable periodic orbits in the phase space, which are then iteratively contracted to form the core skeleton of the strange attractor.

[0029] The conjugate projection submodule is used to decompose the dynamic viscosity tensor generated by Rayleigh scattering interference of the secretion viscosity distribution curve on the environmental response side into a second-order antisymmetric form and project it along the fourth to sixth dimensions of the phase space. The projection process performs a tensor product operation with the trajectory envelope of the strange attractor, so that the local curvature of each phase space trajectory is modulated by the viscosity gradient. The high viscosity region corresponds to the convergence point of the trajectory, and the low viscosity region corresponds to the divergence point, thus forming a closed conjugate pair structure in the six-dimensional phase space.

[0030] The constrained optimization submodule is used to control the stability of the conjugate pair by the entropy oscillation threshold of the dynamic equilibrium solver module.

[0031] In an optional embodiment, a three-phase interlocking decision tree structure is used for the hierarchical response execution network system; the core layer adopts a gradient hierarchical topology triggered by magnetofluid constraints. When the entropy oscillation reaches a set threshold, the micron-scale plasma array releases a directional modulation pulse to synchronously reorganize the microenvironment cell dynamic oscillation mode; the edge execution unit dynamically matches the intermittent negative pressure adsorption frequency according to the secretion viscosity distribution curve, and reconstructs the energy propagation path of the mucosal dominant attachment point through Rayleigh scattering wave interferometry positioning technology.

[0032] This invention achieves entropy balance conversion control for respiratory care through an innovative modal recombination paradigm, manifesting as a dynamic correlation constraint mechanism for a three-dimensional parameter field: The temperature field gradient parameters in the composite feature matrix output by the first level trigger multi-order recursive calibration of the adaptive module, driving the conversion of the liquid membrane oscillation frequency magnitude into the eigenvector basis of the chaotic vibration state. After executing the thermodynamic envelope of the network reception compensation strategy, the gradient hierarchical topology and entropy oscillation parameters in the interlocking structure generate a topological potential field. The mucosal attachment point parameters reconstructed via the Rayleigh scattering wave path are then back-injected into the particle deposition model, converting changes in the negative pressure adsorption frequency into probabilistic weighting factors for the underlying electric field distribution. A synchronously activated magnetofluidic constraint protocol cross-correlates the subthreshold dielectric parameter oscillation spectrum with the aerosol phase transition threshold, forming a fuzzy Hamiltonian surface covering the high-frequency biosignature domain. The entire process establishes a Grassmann manifold embedding mechanism for non-homologous parameters, breaking through the traditional orthogonal superposition paradigm. The core effect lies in incorporating the parameter sensitivity of the particle sedimentation algorithm into the phase space optimization equation. Dynamically modulating pulses impose boundary conditions on the Jacobian matrix of the compensation strategy, ultimately achieving autonomous, corresponding regulation of cross-dimensional biophysical parameters. This allows cross-scale cellular viscoelastic parameters and water molecular dynamics to achieve ergodic equilibrium within the Lorentz attractor domain, creating a new clinical response modality that transcends linear control. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0034] Figure 1 This is a block diagram of the intelligent temperature-controlled and humidified respiratory care device for critically ill patients provided in Example 1 of the present invention;

[0035] Figure 2 This is a block diagram of the global perception fusion central system provided in Example 2 of the present invention;

[0036] Figure 3 This is a block diagram of the adaptive airflow modulation matrix system provided in Example 4 of the present invention;

[0037] Figure 4 This is a block diagram of a hierarchical response execution network system provided in Example 6 of the present invention;

[0038] Figure 5 A block diagram of the electronic device provided by the present invention;

[0039] Figure 6 A block diagram of a computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0041] In the following, the terms "first," "second," etc., are used for descriptive convenience only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature identified with "first," "second," etc., may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0042] In the present invention, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or an integrated one; or, "connection" can be a direct connection or an indirect connection through an intermediate medium. In addition, unless otherwise clearly specified and limited, the term "coupling" should be understood in a broad sense. For example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components, or it can be understood as the electrical connection between different components in a circuit structure through a physical line that can transmit electrical signals, such as printed circuit board (PCB) copper foil or wire, so as to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in an airless / non-contact manner, such as electrical connection between two components using capacitive coupling to transmit electrical signals.

[0043] In an embodiment of the present invention, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to changes in the orientation of the components in the drawings.

[0044] Example 1:

[0045] like Figure 1 As shown, an embodiment of the present invention provides an intelligent temperature-controlled and humidified respiratory auxiliary care device for critically ill patients, comprising:

[0046] The global perception fusion central system is used to construct a high-frequency biometric thermal map analysis layer. It uses a gradient enhancement mapping algorithm to analyze the differential phase changes of the patient's airway pressure and generate a particle deposition energy level distribution model. The perception layer embeds a micro-environment fluctuation detection chain to capture subthreshold changes in the dielectric properties of the mucosal surface at millimeter-level time resolution, forming a composite feature matrix that includes temperature field gradients, molecular displacement efficiency, and liquid membrane oscillation frequency.

[0047] The adaptive airflow modulation matrix system is used to embed a multi-order recursive calibration engine based on a composite characteristic matrix. Using laryngeal fluid dynamics incremental parameters as core independent variables, it establishes a bidirectional coupling model between chaotic vibration states and environmental responses. A leapfrog compensation strategy is generated through vectorization of clinical characteristic curves. Each variation in the viscosity-resistance spectrum during the expiratory phase triggers a self-consistent conversion mechanism, autonomously balancing the dynamic equilibrium point between aerosol diffusion velocity and the water molecule phase transition threshold, maintaining the nanoscale lubricated interface of the gas transmission channel in real time.

[0048] A hierarchical response execution network system is used to design a three-phase interlocking decision tree structure based on the thermodynamic energy level envelope output by the compensation strategy; the core layer adopts a gradient hierarchical topology triggered by magnetofluid constraints. When the entropy oscillation reaches the set threshold, the micron-scale plasma array releases a directional modulation pulse to synchronously reform the microenvironment cell dynamic oscillation mode; the edge execution unit dynamically matches the intermittent negative pressure adsorption frequency according to the secretion viscosity distribution curve, and reconstructs the energy propagation path of the mucosal dominant attachment point through Rayleigh scattering wave interferometry positioning technology.

[0049] In the aforementioned embodiment, this embodiment achieves entropy balance conversion control for respiratory care through an innovative modal recombination paradigm, manifesting as a dynamic correlation constraint mechanism for a three-dimensional parameter field: The temperature field gradient parameters in the composite feature matrix output by the first level trigger multi-order recursive calibration of the adaptive module, driving the liquid membrane oscillation frequency magnitude into the eigenvector basis of a chaotic vibration state. After executing the thermodynamic envelope of the network reception compensation strategy, the gradient hierarchical topology and entropy oscillation parameters in the interlocking structure generate a topological potential energy field. The mucosal attachment point parameters reconstructed via the Rayleigh scattering wave path are back-injected into the particle deposition model, converting changes in the negative pressure adsorption frequency into probabilistic weighting factors for the underlying electric field distribution. A synchronously activated magnetofluidic constraint protocol cross-correlates the subthreshold dielectric parameter oscillation spectrum with the aerosol phase transition threshold, forming a fuzzy Hamiltonian surface covering the high-frequency biosignature domain. The entire process establishes a Grassmann manifold embedding mechanism for non-homologous parameters, breaking through the traditional orthogonal superposition paradigm. The core effect lies in incorporating the parameter sensitivity of the particle sedimentation algorithm into the phase space optimization equation. Dynamically modulating pulses impose boundary conditions on the Jacobian matrix of the compensation strategy, ultimately achieving autonomous, corresponding regulation of cross-dimensional biophysical parameters. This allows cross-scale cellular viscoelastic parameters and water molecular dynamics to achieve ergodic equilibrium within the Lorentz attractor domain, creating a new clinical response modality that transcends linear control.

[0050] Example 2:

[0051] like Figure 2 As shown, based on Example 1, the global perception fusion central system provided by the embodiment of the present invention includes:

[0052] The cloud map conversion module is used to perform spatiotemporal decoupling of the original pressure oscillation wave based on a multimodal sensor array. It captures the time-frequency characteristics of the dynamic load on the airway wall through pressure sensing nodes and decomposes the three-dimensional pressure pulsation into intrinsic mode components with spatiotemporal orthogonality. The gradient enhancement mapping algorithm constructs a dynamic weight convolution kernel to perform nonlinear interpolation on the phase offset of the pressure waveform in adjacent respiratory cycles, forming a differential phase topology cloud map that can characterize the local turbulence intensity. After the differential phase topology cloud map is converted through the energy level density function, it maps the non-uniform deposition probability field of particles in the branch airway, and its energy peak corresponds to the core attachment area of ​​the secondary flow vortex.

[0053] The signal calibration module uses the deposition energy level distribution of the non-uniform deposition probability field as the initial constraint. After the directional sampling mechanism of the micro-environment fluctuation detection chain is triggered by the spatial weight coefficient of the deposition energy level distribution model, the transient response of the dielectric constant of the mucosal surface is synchronously measured by the electric field coupling probe array within the millimeter time slice; the transfer function between the liquid film thickness and the complex impedance spectrum is established, and the molecular migration rate caused by the temperature gradient is inverted; the original dielectric signal of the differential phase change of the patient's airway pressure is injected with the spatial weight coefficient for regional calibration;

[0054] The tensor generation module is used to perform cross-scale feature aggregation, reconstruct the composite matrix under the framework of thermodynamic conservation, input the calibrated molecular replacement efficiency parameters into the hyperbolic partial differential equation, and solve the nonlinear effect of the temperature field gradient on the evaporation and condensation rate; at the same time, the liquid film oscillation frequency is stripped from the original dielectric signal of the differential phase change of the patient's airway pressure, and convolved with the eddy attenuation coefficient of the particle deposition energy level distribution model to generate a three-dimensional feature tensor with spatiotemporal correlation. The weight distribution of the temperature conduction path is determined by the deposition energy level distribution; the energy dissipation boundary condition of the liquid film oscillation is modified by the molecular replacement efficiency; and the spatiotemporal correlation characteristics are constructed by the convolution operation of the eddy attenuation coefficient and the liquid film oscillation frequency.

[0055] In the above-mentioned embodiment, the technical integration effect of the global sensing fusion central system is reflected in the following: through the closed-loop coupling of multimodal sensor data streams and physical field models, cross-scale quantitative characterization and predictive control of the dynamic characteristics of the airway microenvironment are achieved. The multi-physics field coupling modeling capability constructs a four-dimensional coupled solver for pressure oscillation waves, particle deposition, temperature gradients, and liquid film dynamics. The spatiotemporal orthogonal eigenmode components provided by the cloud map conversion module establish a reference coordinate system for the differential phase topology field. The nonlinear interpolation weights generated by the gradient enhancement mapping algorithm establish a mathematical isomorphism between the local turbulence intensity and the energy peak in the core region of the secondary flow vortex, achieving a unified parameterized description of the macroscopic flow field structure and microscopic deposition behavior. For high-precision inversion under dynamic constraints, the signal calibration module converts the spatial weight coefficients of the deposition energy level distribution into physical constraints for dielectric signal calibration through the dielectric constant-film thickness transfer function. A bidirectional feedback mechanism based on the energy density function controls the transient measurement error of the mucosal surface temperature gradient to the order of ±0.5 μm / ms, while ensuring that the molecular migration rate inversion results meet the rigidity conditions of the thermodynamic conservation equations. Self-consistent generation of space-time correlation tensors. The tensor generation module solves the conservation property of hyperbolic partial differential equations and performs feature fusion on the Riemann manifold on the deposition energy level distribution (scalar field), vortex attenuation coefficient (vector field), and molecular replacement efficiency (tensor field) output by the previous module. The final three-dimensional feature tensor has the following characteristics: time dimension: contains high-order derivative information of the pressure wave phase offset; spatial dimension: encodes the aerosol deposition gradient from the core area to the periphery of the secondary flow vortex; physical dimension: integrates the dual constraints of the temperature conduction path weight and the energy dissipation boundary.

[0056] In summary, this embodiment essentially constructs a continuum mechanics solution framework from millimeter-scale flow field vortices to nanoscale molecular migration through signal decoupling of cloud map conversion, constraint injection of the calibration module, and cross-scale fusion of tensor generation, providing a quantum-level numerical experimental platform for targeted drug delivery to the respiratory system and aerosol deposition regulation.

[0057] Example 3:

[0058] Based on Example 2, the cloud image conversion module provided by the embodiment of the present invention includes:

[0059] The modal decoupling and phase offset quantification submodule is used to extract the intrinsic modal components of the respiratory cycle using a spatiotemporal orthogonal decomposition algorithm based on the three-dimensional pressure pulsation signal captured by the multimodal sensor array. Each modal component corresponds to the fluid vibration characteristics of a specific frequency band, and its phase information is encoded as a rotation vector with spatial coordinate dependence. The difference in rotation angle of each modal vector in adjacent respiratory cycles is quantified into a phase offset matrix, in which each element value represents the flow field reconstruction delay coefficient at a specific anatomical location of the airway.

[0060] The dynamic weighted convolution kernel construction submodule is used to generate a convolution kernel structure with adaptive adjustment capabilities based on the statistical distribution characteristics of the phase offset matrix according to the gradient enhancement mapping algorithm. The value of each weight unit in the kernel is dynamically controlled by two parameters: the local eddy current intensity gradient, which is derived from the energy decay rate in the respiratory cycle deposition energy level distribution model; and the viscoelastic coefficient of the mucosal interface, which is normalized by the liquid membrane oscillation frequency spectrum fed back by the signal calibration module.

[0061] The nonlinear phase interpolation and turbulence field reconstruction submodule is used to handle spatiotemporal discontinuities when applying the dynamic convolution kernel to the phase offset matrix using an asymmetric interpolation strategy. For regions of geometric mutation, such as the main bronchial bifurcation, a spatial constraint factor provided by the deposition probability field is introduced to generate a smoothly transitioned phase gradient tensor using a constrained minimum curvature algorithm. The modulus of each vector in the phase gradient tensor corresponds to the local flow velocity shear rate, and the direction represents the spatial orientation of the vortex main axis.

[0062] The differential phase cloud map generates a phase gradient and inputs the phase gradient tensor into the energy level density conversion module. By solving the flow field kinetic energy conservation equation, the vector field information is converted into a scalarized turbulence intensity distribution map. In this process, the attachment area coordinates of the secondary flow vortex in the deposition energy level model are used as feature enhancement anchor points, so that the cloud map automatically improves the resolution at the distal end of the airway bifurcation. In the generated topological cloud map, the contour line spacing reflects the amplitude of the shear stress fluctuation on the airway wall, and the color depth maps the potential risk level of inertial deposition of particulate matter.

[0063] In the aforementioned embodiments, this embodiment achieves frequency-domain deconstruction and spatial encoding of respiratory airflow dynamics through the modal decoupling and phase offset quantization submodules. A spatiotemporal orthogonal decomposition algorithm decomposes complex three-dimensional pulsating signals into modal components with clear physical meaning. The construction of a phase offset matrix establishes a mapping relationship between airway anatomical structure and fluid vibration characteristics. The dynamic weighted convolution kernel construction submodule forms a computational framework for adaptive flow field characteristics. The gradient enhancement mapping algorithm provides the convolution kernel with a dual adjustment mechanism: the vortex intensity gradient parameter reflects energy transfer efficiency, and the viscoelastic coefficient parameter characterizes the interface dynamics. This dual-parameter control model achieves a deep coupling between computational structure and physical mechanism. The nonlinear phase interpolation and turbulence field reconstruction submodule addresses numerical discontinuities in geometrically abrupt regions by introducing spatial constraints on the deposition probability field. The constrained minimum curvature algorithm generates a phase gradient tensor whose vector attributes simultaneously encode both velocity shear rate and vortex spatial orientation, enabling vectorized representation of turbulence field parameters. When the differential phase cloud map is generated, the energy level density conversion module maintains conservation of flow field kinetic energy while converting the vector field into a scalar distribution. The feature-enhanced anchor point mechanism gives the cloud map adaptive resolution characteristics, and the final output topological cloud map realizes multi-parameter fusion visualization: the contour line spacing quantifies the wall shear stress, and the color depth gradient predicts the risk of particle deposition, forming a quantifiable airway function assessment map.

[0064] This embodiment implements a complete computational chain from multi-source sensor signals to clinical diagnostic indicators. Its core value lies in establishing a deterministic mapping relationship between respiratory dynamics parameters and airway pathological characteristics. The cascaded design of each submodule ensures the physical consistency of fluid dynamics characteristics during the calculation process. The final output cloud map contains both spatial positioning information and functional quantitative indicators, providing multi-dimensional data support for airway disease diagnosis.

[0065] Example 4:

[0066] like Figure 3 As shown, based on Example 1, the adaptive airflow modulation matrix system provided by the embodiment of the present invention includes:

[0067] The initial parameter injection module is used to convert the temperature field gradient parameter into the boundary constraint value of the throat fluid dynamics increment using the liquid film oscillation frequency in the composite characteristic matrix as the initial condition of chaotic vibration. The molecular replacement efficiency parameter is used as the environmental response benchmark and is encoded into the base coordinate system of the three-dimensional state space.

[0068] The recursive calibration module uses a multi-order recursive calibration engine to extract the coordinates of high-density regions in the particle deposition energy level distribution model, map them to the dielectric property change curve of the mucosal surface, and generate the first set of vibration modal weight coefficients. The differential phase change of airway pressure is converted into a Lyapunov exponent correction term for the chaotic system through vector processing of the clinical characteristic curve.

[0069] The bidirectional coupling construction module is used to construct a six-dimensional phase space containing a strange attractor using the phase change spectrum output by the gradient enhancement mapping algorithm on the vibration state side. The trajectory envelope of the strange attractor forms a conjugate pair with the environmental response parameter. On the environmental response side, the secretion viscosity distribution curve is located by Rayleigh scattering wave interferometry to generate a dynamic viscosity tensor and project it into the phase space to form a damping force field constraint layer.

[0070] The dynamic equilibrium solution module is used to execute the following iterative process when the entropy oscillation triggers the magnetofluid constraint: the thermodynamic energy level envelope is discretized into a sequence of aerosol mobility characteristic values, the phase change trajectory of water molecules is modulated using a micron-scale plasma array pulse signal, and the three-phase interlocking decision tree is used to verify whether the viscous resistance spectrum variation value is in the Nash equilibrium interval. If it exceeds the threshold, it returns to the recursive calibration stage to update the weight coefficient; the final equilibrium point is manifested as the energy propagation path of the mucosal dominant attachment point and the microenvironment cell dynamic oscillation mode reaching synchronous convergence.

[0071] In the aforementioned embodiments, this embodiment achieves cross-scale parameter conversion through an initial parameter injection module, uniformly encoding macroscopic temperature field gradients and microscopic molecular displacement efficiencies into a three-dimensional state space. This establishes a coupled computational foundation for fluid mechanics, thermodynamics, and molecular dynamics, providing the system with an environmentally responsive initial condition set. The recursive calibration module constructs an adaptive correction mechanism for vibration modal weight coefficients through bidirectional mapping of energy level distribution models and dielectric characteristic curves. Clinical feature vectorization converts airway pressure changes into nonlinear dynamic parameters, enabling precise conversion from physiological features to chaotic system parameters. The bidirectional coupling construction module establishes a conjugate pair relationship between singular attractor trajectories and environmental parameters in six-dimensional phase space, and transforms the secretion viscosity distribution into dynamic tensor constraints through Rayleigh scattering interferometry. This hierarchy achieves topological matching between vibration states and environmental responses. The dynamic equilibrium solution module establishes a nonequilibrium control strategy for aerosol migration and viscous drag through discretized energy level envelopes, plasma pulse modulation, and three-phase interlocking verification. Ultimately, this achieves synchronous convergence of energy transfer at mucosal attachment points and microenvironmental dynamics, forming a stable dissipative structure. Achieve coordinated control of parameters across six orders of magnitude from the molecular scale to the organ scale, and complete dynamic optimization of airway fluid mechanics characteristics through nonlinear interaction between the chaotic system and the viscoelastic medium.

[0072] Example 5:

[0073] Based on Example 4, the bidirectional coupling building module provided in this embodiment of the present invention includes:

[0074] The gradient enhancement mapping submodule is used to reconstruct the original phase change spectrum in the gradient domain based on the first set of vibration modal weight coefficients output by the recursive calibration module. High-frequency oscillation components are extracted through nonlinear filtering and convolved with the liquid film oscillation frequency (the chaotic initial condition defined by the initial parameter injection module) to generate an enhanced phase spectrum with multi-scale characteristics. Singular points in the phase spectrum correspond to the coordinates of high-density regions in the particle deposition energy level distribution model (recursive calibration module), forming a preliminary topological association.

[0075] The dynamic embedding submodule decomposes the time-frequency characteristics of the enhanced phase spectrum into six sets of orthogonal basis functions, each corresponding to a phase space dimension. The first three dimensions are constrained by the molecular replacement efficiency parameter (the basis coordinate system of the initial parameter injection module), and the last three dimensions are dynamically adjusted by the Lyapunov exponent correction term (the chaotic system parameter output by the recursive calibration module). The transient extreme points of the phase spectrum are mapped to unstable periodic orbits in phase space, which are then iteratively contracted to form the core skeleton of the strange attractor.

[0076] The conjugate projection submodule is used to decompose the dynamic viscosity tensor (bidirectional coupling building block) generated by Rayleigh scattering interference of the secretion viscosity distribution curve on the environmental response side into a second-order antisymmetric form and project it along the fourth to sixth dimensions of the phase space. The projection process performs a tensor product operation with the trajectory envelope of the strange attractor, so that the local curvature of each phase space trajectory is modulated by the viscosity gradient. The high viscosity region corresponds to the convergence point of the trajectory, and the low viscosity region corresponds to the divergence point, thus forming a closed conjugate pair structure in the six-dimensional phase space.

[0077] The constrained optimization submodule is used to regulate the stability of the conjugate pair by the entropy oscillation threshold of the dynamic equilibrium solution module. If the variation value of the viscous resistance spectrum (the judgment parameter of the three-phase interlocking decision tree) exceeds the Nash equilibrium interval, the weight coefficient updated by the recursive calibration module will be fed back to the gradient enhancement mapping algorithm to readjust the energy level distribution of the phase spectrum. This ensures that the conjugate relationship between the trajectory envelope of the strange attractor and the environmental parameters reaches dynamic equilibrium, that is, the energy propagation path of the mucosal dominant attachment point (the convergence target of the dynamic equilibrium solution module) fully matches the phase space topology.

[0078] In the aforementioned embodiment, the gradient enhancement mapping submodule of this embodiment achieves coupled reconstruction of microscopic oscillation characteristics and macroscopic phase spectra by integrating the vibration modal weight coefficients (output from the recursive calibration module) with the liquid film oscillation frequency (defined by the initial parameter injection module). The resulting enhanced phase spectrum transforms the high-density coordinates of the particle deposition energy level distribution (from the recursive calibration module) into a topologically correlated basis for phase space construction, providing multi-scale feature input for subsequent dynamic embedding. The dynamic embedding submodule rigorously maps the time-frequency characteristics of the enhanced phase spectrum into a six-dimensional phase space through orthogonal basis function decomposition. The first three-dimensional basis functions are constrained by the molecular replacement efficiency parameter (from the initial parameter injection module), while the second three-dimensional basis functions are dynamically controlled by the Lyapunov exponent correction term (from the recursive calibration module), ensuring that the core skeleton of the strange attractor meets both environmental response benchmarks and chaotic system stability requirements. The conjugate projection submodule establishes a direct relationship between the viscosity gradient and trajectory curvature through the antisymmetric decomposition of the dynamic viscosity tensor (generated by Rayleigh scattering interferometry) and the tensor product operation of the phase space trajectory. High and low viscosity regions correspond to trajectory convergence and divergence, respectively, enabling the environmental response parameter (secretory viscosity distribution) and the vibrational state (strange attractor envelope) to form a closed conjugate pair structure, achieving bidirectional physical quantity coupling. The constrained optimization submodule monitors the stability of the conjugate pair via an entropy oscillation threshold (dynamic equilibrium solution module). When the viscous drag spectrum variation exceeds the Nash equilibrium interval, the weight coefficient feedback of the recursive calibration module readjusts the phase spectrum energy level distribution (input of the gradient enhancement mapping submodule), forming a closed-loop control from phase space construction to environmental parameter response, ultimately achieving a perfect match between the mucosal energy path and the phase space topology (the goal of the dynamic equilibrium solution module).

[0079] In summary, this embodiment uniformly encodes heterogeneous parameters such as vibration modal weights, liquid membrane oscillation frequency, and molecular replacement efficiency into a six-dimensional phase space. It utilizes the conjugate relationship between the strange attractor trajectory envelope and the viscosity tensor to constrain the stability boundary of the environment-vibration interaction. It dynamically corrects the phase spectrum distribution through a closed-loop feedback mechanism to ensure that the conjugate pair structure always converges to the optimized state of the mucosal energy propagation path. Ultimately, it forms a complete processing chain covering feature fusion, structure generation, bidirectional coupling, and closed-loop optimization, providing the system with environmentally adaptive high-dimensional phase space control capabilities.

[0080] Example 6:

[0081] like Figure 4 As shown, based on Example 1, the hierarchical response execution network system provided by the embodiment of the present invention includes:

[0082] The waveguide property extraction module is used to convert the non-uniform viscoelasticity of the mucus medium into a waveguide refractive index gradient field based on the viscosity distribution curve received by the hierarchical response execution network. The waveguide refractive index gradient field is then tensor-synthesized with the changes in the dielectric properties of the mucus membrane captured by the global sensing system to form a birefringence matrix with spatial variability, providing a medium property basis for scattered wave interference.

[0083] A multimodal scattered wave interference field construction module is used to excite multi-band Rayleigh scattered waves at the mucus-tissue interface under the action of a plasma array pulse triggered by magnetic fluid confinement. Through millimeter-level time synchronization of the microscopic environmental fluctuation detection chain, the phase delay spectrum and intensity attenuation spectrum of the scattered waves are collected, and combined with the temperature field gradient parameters in the composite characteristic matrix, the three-dimensional interference fringe topology structure is reconstructed.

[0084] The quantized marking module is used to perform matched filtering on the extreme point sequence of the interference fringes and the high-density coordinates of the particle deposition energy level model to identify the characteristic nodes of energy dissipation on the mucosal surface. The Lyapunov exponent correction term obtained by vectorizing the clinical characteristic curve is used for stability weighting to form a quantized energy marking point cloud.

[0085] The phase space projection module is used to project the marked point cloud along the normal vector direction defined by the variation value of the viscous resistance spectrum using the six-dimensional phase space basis in the bidirectional coupling model. During the projection process, the incremental parameters of the throat fluid mechanics are used as constraints to ensure that the path trajectory remains topologically isomorphic to the aerosol diffusion velocity. The final path must meet the continuity requirements of the nanoscale lubrication interface of the gas transmission channel. The path curvature is dynamically corrected through the microenvironment cell dynamic oscillation mode to achieve spectral matching between the energy transmission efficiency and the intermittent negative pressure adsorption frequency, completing the closed-loop mapping of pathophysiological parameters to physical paths.

[0086] In the aforementioned embodiments, this embodiment constructs a spatially variable birefringence matrix through viscosity-dielectric property tensor synthesis, providing a precise dielectric parameter basis for the interference field and achieving a mathematical mapping of the heterogeneous viscoelastic properties of biological mucus to computable physical parameters. Using multi-band Rayleigh waves excited by plasma array pulses, combined with temperature field gradient parameters, a three-dimensional interference fringe topology is reconstructed, establishing a correlation model between microscopic environmental fluctuations and macroscopic interference structures with millimeter-level temporal synchronization accuracy. A quantized marker point cloud is generated through matched filtering of extreme point sequences and deposition energy levels, combined with Lyapunov exponent correction, completing the mathematical abstraction of energy dissipation characteristics from a continuous field to discrete feature points. On a six-dimensional phase space basis, a normal vector projection defined by the variation of the viscous resistance spectrum is used to achieve a dimensionality reduction mapping of the marker point cloud to physical space, maintaining topological constraints through fluid dynamics parameters. The resulting path meets nanoscale interface continuity requirements, dynamically corrects curvature through microenvironmental cell dynamics oscillations, achieves spectral matching between energy transmission efficiency and negative pressure adsorption frequency, and forms a complete mapping chain from pathological parameters to physical paths. By maintaining coupling consistency through multi-dimensional constraints such as dynamic balance parameters and three-phase interlocking decision tree parameters, the mathematically interpretable conversion of multi-physical field parameters of the mucosal environment to treatment pathways is achieved.

[0087] Figure 5 A block diagram is shown of an exemplary electronic device suitable for implementing embodiments of the present invention.

[0088] The electronic device may include a central processing unit / microprocessor / main control chip, etc.; a storage medium, coupled to the central processing unit / microprocessor / main control chip, etc., and storing computer-executable instructions therein, for performing the steps of each method of an embodiment of the present invention when executed by the processor.

[0089] The central processing unit / microprocessor / main control chip etc. may include but is not limited to, for example, one or more processors or microprocessors etc.

[0090] The storage medium may include, but is not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (such as hard disk, floppy disk, solid-state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).

[0091] In addition, the electronic device may also include (but not limited to) a data bus, an input / output bus / external bus / device bus, a display, and input / output devices (eg, keyboard, mouse, speaker, etc.).

[0092] The central processing unit / microprocessor / main control chip etc. can communicate with external devices via an I / O bus via a wired or wireless network (not shown).

[0093] The storage medium may also store at least one computer-executable instruction for executing the various functions and / or method steps in the embodiments described in this technology when executed by a central processing unit / microprocessor / main control chip, etc.

[0094] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0095] Figure 6 A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.

[0096] like Figure 6 As shown, a non-transitory computer-readable storage medium stores instructions, such as computer-readable instructions. When the computer-readable instructions are executed by a processor, the various methods described above can be executed. Non-transitory computer-readable storage media include, but are not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. Non-transitory non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium can be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions stored on the computer-readable storage medium, the various methods described above can be performed.

[0097] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0098] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0099] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0100] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the various embodiments of the method of the present invention via a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0101] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent temperature-controlled and humidified respiratory care device for critically ill patients, characterized in that: Include: The global perception fusion central system is used to construct a high-frequency biometric thermal map analysis layer and generate a particle deposition energy level distribution model; forming a composite feature matrix including temperature field gradient, molecular replacement efficiency, and liquid film oscillation frequency; The adaptive airflow modulation matrix system is used to embed a multi-order recursive calibration engine based on a composite characteristic matrix. It generates a leapfrog compensation strategy through vector processing of clinical characteristic curves. Each variation in the viscosity-resistance spectrum during the expiratory phase triggers a self-consistent conversion mechanism, autonomously balancing the dynamic equilibrium point between the aerosol diffusion velocity and the water molecule phase transition threshold, and maintaining the nano-level lubricated interface of the gas transmission channel in real time. A hierarchical response execution network system is used to design a three-phase interlocking decision tree structure based on the thermodynamic energy level envelope output by the compensation strategy.

2. The intelligent temperature-controlled and humidified respiratory care device for critically ill patients according to claim 1, characterized in that: The perception layer in the global perception fusion central system embeds a micro-environment fluctuation detection chain, which captures the sub-threshold changes of the dielectric properties of the mucosal surface at millimeter-level time resolution, forming a composite feature matrix including temperature field gradient, molecular replacement efficiency and liquid membrane oscillation frequency.

3. The intelligent temperature-controlled and humidified respiratory care device for critically ill patients according to claim 1, characterized in that: The global perception fusion central system includes: The cloud map conversion module is used to perform spatiotemporal decoupling of the original pressure oscillation wave based on a multimodal sensor array. It captures the time-frequency characteristics of the dynamic load on the airway wall through pressure sensing nodes and decomposes the three-dimensional pressure pulsation into intrinsic mode components with spatiotemporal orthogonality. The gradient enhancement mapping algorithm constructs a dynamic weight convolution kernel to perform nonlinear interpolation on the phase offset of the pressure waveform in adjacent respiratory cycles, forming a differential phase topology cloud map that can characterize the local turbulence intensity. This maps the non-uniform deposition probability field of particles in the branched airways. The signal calibration module is used to use the deposition energy level distribution of the non-uniform deposition probability field as the initial constraint condition, and to invert the molecular migration rate caused by the temperature gradient by establishing the transfer function between the complex impedance spectrum and the liquid film thickness; The tensor generation module is used to perform cross-scale feature aggregation, reconstruct the composite matrix under the framework of thermodynamic conservation, input the calibrated molecular replacement efficiency parameters into the hyperbolic partial differential equation, and solve the nonlinear effect of the temperature field gradient on the evaporation and condensation rate; at the same time, the liquid film oscillation frequency is stripped from the original dielectric signal of the differential phase change of the patient's airway pressure, and convolved with the eddy attenuation coefficient of the particle deposition energy level distribution model to generate a three-dimensional feature tensor with spatiotemporal correlation.

4. The intelligent temperature-controlled and humidified respiratory auxiliary care device for critically ill patients according to claim 3, characterized in that: After the directional sampling mechanism of the micro-environmental fluctuation detection chain of the signal calibration module is triggered by the spatial weight coefficient of the deposition energy level distribution model: the transient response of the dielectric constant of the mucosal surface is synchronously measured by the electric field coupled probe array within the millimeter time slice; the transfer function of the liquid film thickness and the complex impedance spectrum is established, and the molecular migration rate caused by the temperature gradient is inverted; the original dielectric signal of the differential phase change of the patient's airway pressure is injected with the spatial weight coefficient for regional calibration.

5. The intelligent temperature-controlled and humidified respiratory auxiliary care device for critically ill patients according to claim 3, characterized in that: The weight distribution of the temperature conduction path of the tensor generation module is determined by the deposition energy level distribution; the energy dissipation boundary condition of the liquid film oscillation is modified by the molecular replacement efficiency; and the spatiotemporal correlation characteristics are constructed by the convolution operation of the vortex attenuation coefficient and the liquid film oscillation frequency.

6. The intelligent temperature-controlled and humidified respiratory care device for critically ill patients according to claim 3, characterized in that: Cloud image conversion module, including: The modal decoupling and phase offset quantification submodule is used to extract the intrinsic modal components of the respiratory cycle using a spatiotemporal orthogonal decomposition algorithm based on the three-dimensional pressure pulsation signal captured by the multimodal sensor array. Each modal component corresponds to the fluid vibration characteristics of a specific frequency band, and its phase information is encoded as a rotation vector with spatial coordinate dependence. The difference in rotation angle of each modal vector in adjacent respiratory cycles is quantified into a phase offset matrix, in which each element value represents the flow field reconstruction delay coefficient at a specific anatomical location of the airway. The dynamic weight convolution kernel construction submodule is used to generate a convolution kernel structure with adaptive adjustment capability according to the statistical distribution characteristics of the phase offset matrix based on the gradient enhancement mapping algorithm; The value of each weight unit in the core is dynamically controlled by two parameters: the local eddy current intensity gradient, which is derived from the energy decay rate in the respiratory cycle deposition energy level distribution model; and the viscoelastic coefficient of the mucosal interface, which is normalized by the liquid membrane oscillation frequency spectrum fed back by the signal calibration module. The nonlinear phase interpolation and turbulence field reconstruction submodule is used to handle spatiotemporal discontinuities when applying the dynamic convolution kernel to the phase offset matrix using an asymmetric interpolation strategy. For regions of geometric mutation, such as the main bronchial bifurcation, a spatial constraint factor provided by the deposition probability field is introduced to generate a smoothly transitioned phase gradient tensor using a constrained minimum curvature algorithm. The modulus of each vector in the phase gradient tensor corresponds to the local flow velocity shear rate, and the direction represents the spatial orientation of the vortex main axis. The differential phase cloud map generates a phase gradient and inputs the phase gradient tensor into the energy level density conversion module. By solving the flow field kinetic energy conservation equation, the vector field information is converted into a scalarized turbulence intensity distribution map. In this process, the attachment area coordinates of the secondary flow vortex in the deposition energy level model are used as feature enhancement anchor points, so that the cloud map automatically improves the resolution at the distal end of the airway bifurcation. In the generated topological cloud map, the contour line spacing reflects the amplitude of the shear stress fluctuation on the airway wall, and the color depth maps the potential risk level of inertial deposition of particulate matter.

7. The intelligent temperature-controlled and humidified respiratory care device for critically ill patients according to claim 1, characterized in that: The adaptive airflow modulation matrix system is used to implant a multi-order recursive calibration engine based on the composite characteristic matrix, and establish a bidirectional coupling model between the chaotic vibration state and the environmental response with the throat fluid mechanics incremental parameters as the core independent variables.

8. The intelligent temperature-controlled and humidified respiratory auxiliary care device for critically ill patients according to claim 1, characterized in that: Adaptive airflow modulation matrix system, including: The initial parameter injection module is used to convert the temperature field gradient parameter into the boundary constraint value of the throat fluid dynamics increment using the liquid film oscillation frequency in the composite characteristic matrix as the initial condition of chaotic vibration. The molecular replacement efficiency parameter is used as the environmental response benchmark and is encoded into the base coordinate system of the three-dimensional state space. The recursive calibration module uses a multi-order recursive calibration engine to extract the coordinates of high-density regions in the particle deposition energy level distribution model, map them to the dielectric property change curve of the mucosal surface, and generate the first set of vibration modal weight coefficients. The differential phase change of airway pressure is converted into a Lyapunov exponent correction term for the chaotic system through vector processing of the clinical characteristic curve. The bidirectional coupling construction module is used to construct a six-dimensional phase space containing a strange attractor using the phase change spectrum output by the gradient enhancement mapping algorithm on the vibration state side. The trajectory envelope of the strange attractor forms a conjugate pair with the environmental response parameter. On the environmental response side, the secretion viscosity distribution curve is located by Rayleigh scattering wave interferometry to generate a dynamic viscosity tensor and project it into the phase space to form a damping force field constraint layer. The dynamic equilibrium solution module is used to execute the following iterative process when the entropy oscillation triggers the magnetofluid constraint: the thermodynamic energy level envelope is discretized into a sequence of aerosol mobility characteristic values, the phase change trajectory of water molecules is modulated using a micron-scale plasma array pulse signal, and the three-phase interlocking decision tree is used to verify whether the viscous resistance spectrum variation value is in the Nash equilibrium interval. If it exceeds the threshold, it returns to the recursive calibration stage to update the weight coefficient; the final equilibrium point is manifested as the energy propagation path of the mucosal dominant attachment point and the microenvironment cell dynamic oscillation mode reaching synchronous convergence.

9. The intelligent temperature-controlled and humidified respiratory care device for critically ill patients according to claim 8, characterized in that: Bidirectional coupling building blocks, including: The gradient enhancement mapping submodule is used to reconstruct the original phase change spectrum in the gradient domain based on the first set of vibration modal weight coefficients output by the recursive calibration module. High-frequency oscillation components are extracted through nonlinear filtering and convolved with the liquid film oscillation frequency to generate an enhanced phase spectrum with multi-scale characteristics. Singular points in the phase spectrum correspond to the coordinates of high-density regions in the particle deposition energy level distribution model, forming a preliminary topological association. The dynamic embedding submodule is used to decompose the time-frequency characteristics of the enhanced phase spectrum into six sets of orthogonal basis functions, each corresponding to a phase space dimension. The transient extreme points of the phase spectrum are mapped to unstable periodic orbits in the phase space, which are then iteratively contracted to form the core skeleton of the strange attractor. The conjugate projection submodule is used to decompose the dynamic viscosity tensor generated by Rayleigh scattering interference of the secretion viscosity distribution curve on the environmental response side into a second-order antisymmetric form and project it along the fourth to sixth dimensions of the phase space. The projection process performs a tensor product operation with the trajectory envelope of the strange attractor, so that the local curvature of each phase space trajectory is modulated by the viscosity gradient. The high viscosity region corresponds to the convergence point of the trajectory, and the low viscosity region corresponds to the divergence point, thus forming a closed conjugate pair structure in the six-dimensional phase space. The constrained optimization submodule is used to control the stability of the conjugate pair by the entropy oscillation threshold of the dynamic equilibrium solver module.

10. The intelligent temperature-controlled and humidified respiratory auxiliary care device for critically ill patients according to claim 1, characterized in that: The hierarchical response execution network system has a three-phase interlocking decision tree structure; the core layer adopts a gradient hierarchical topology triggered by magnetofluid constraints. When the entropy oscillation reaches the set threshold, the micron-scale plasma array releases a directional modulation pulse to synchronously reorganize the microenvironment cell dynamic oscillation mode; the edge execution unit dynamically matches the intermittent negative pressure adsorption frequency according to the secretion viscosity distribution curve, and reconstructs the energy propagation path of the mucosal dominant attachment point through Rayleigh scattering wave interferometry positioning technology.

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