Postpartum fumigation conditioning device for obstetrical department and control method of postpartum fumigation conditioning device
By analyzing the thermal field gradient tensor and state transition matrix of the postpartum fumigation device and combining it with steam flow field simulation, the heater power was adaptively adjusted, which solved the problem of abnormal thermal field distribution in the postpartum fumigation device and achieved thermal field balance and improved postpartum comfort.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-24
- Publication Date
- 2026-04-14
AI Technical Summary
Existing postpartum fumigation devices fail to adequately consider the differences in the body shape of postpartum women and the dynamic changes in the steam flow field during heat field adjustment, resulting in abnormal heat field distribution, risk of burns, and unstable treatment effects.
By sampling the temperature of each heat therapy zone inside the fumigation chamber, a thermal field gradient tensor and a state transition matrix are constructed. Combined with steam flow field simulation, a heat flow coupling relationship is generated, and the heater power is adaptively adjusted to achieve thermal field equilibrium.
Accurately identify areas of heat flow distortion to ensure a balanced thermal field, avoid overheating or underheating, and improve maternal comfort and treatment stability.
Smart Images
Figure CN121845930A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of postpartum care equipment technology, and more specifically, to a postpartum fumigation and care device for obstetrics and its control method. Background Technology
[0002] Postpartum fumigation therapy, a common rehabilitation method in obstetrics, can promote the recovery of postpartum women through steam heat therapy. Its core lies in the uniformity and safety control of the heat field inside the fumigation box. The uniformity of the heat field inside the fumigation box directly affects the drug penetration efficiency and the comfort of the postpartum woman. Therefore, precise control of the heat field is a key aspect of postpartum fumigation technology.
[0003] Existing technologies often employ fixed-power heating or traditional control methods based on single-point temperature feedback to regulate the thermal field. However, factors such as the mother's body shape obstructing the steam flow and dynamic changes in the steam flow field during fumigation can lead to abnormal thermal field distribution. Traditional control methods do not fully consider the disturbance of the steam flow field caused by differences in the mother's body shape, nor can they dynamically handle the multi-physics coupling problem of heat conduction and fluid flow. It is also difficult to identify local overheating or thermal dead zones inside the fumigation chamber in real time, resulting in poor thermal field uniformity, the risk of burns, and unstable treatment effects. Therefore, how to combine the mother's body shape characteristics and the dynamic characteristics of the steam flow field to quantify the heat flow coupling relationship inside the fumigation chamber and adaptively adjust the heater power has become a challenge for the industry. Summary of the Invention
[0004] This application provides a postpartum fumigation and conditioning device and its control method for obstetrics, which can quantify the heat flow coupling relationship inside the fumigation box by combining the postpartum woman's body shape characteristics and the dynamic characteristics of the steam flow field to adaptively adjust the heater power.
[0005] In a first aspect, this application provides a method for equalizing the heat field in a postpartum fumigation and conditioning device, used to intelligently adjust the power of the heater inside the fumigation chamber in the postpartum fumigation and conditioning device for obstetrics to achieve dynamic equalization of the fumigation heat field. The method includes: Temperature samples were taken from each preset heat therapy zone inside the fumigation box to obtain temperature data for each heat therapy zone. By constructing the thermal field gradient tensor of each thermotherapy zone using all temperature data, and then identifying anomalies in the internal temperature of the fumigation box based on the thermal field gradient tensor of all thermotherapy zones, the distribution of heat flow distortion caused by the obstruction of the mother's body shape inside the fumigation box is obtained. Based on the thermodynamic state during the steady-state period of all temperature data and the heat flow distortion distribution, a state transition matrix of the heat flow inside the fumigation chamber is constructed. Using dynamic simulation of steam circulation, a characteristic distribution map of the steam flow field inside the fumigation box is generated based on the point cloud data of the mother's body contour. The dynamic flow field disturbance tolerance of each thermotherapy zone is determined by combining the characteristic distribution map with the temperature response curves of the disturbance period in all temperature data. Based on the state transition matrix and the dynamic flow field disturbance tolerance of all thermotherapy zones, a parameter adjustment vector is generated to control the thermal field balance inside the fumigation box. The power of the heaters in each thermotherapy zone inside the fumigation box is adjusted based on the parameter adjustment vector.
[0006] In some embodiments, constructing the thermal field gradient tensor for each thermotherapy zone using all temperature data specifically includes: For each thermotherapy zone, the temperature data of the thermotherapy zone is spatially discretized to obtain the discrete temperature matrix of the thermotherapy zone; The discrete temperature data is subjected to gradient convolution using the central difference operator to obtain the temperature gradient vector in three dimensions for each voxel in the thermotherapy zone. The thermal field gradient tensor of each thermotherapy zone is constructed based on all temperature gradient vectors, and then the thermal field gradient tensor of each thermotherapy zone is obtained.
[0007] In some embodiments, anomaly identification of the internal temperature of the fumigation chamber is performed based on the thermal field gradient tensor of all hyperthermia zones, and the specific distribution of heat flow distortion caused by the obstruction of the mother's body shape within the fumigation chamber includes: The thermal gradient vector field inside the fumigation box is determined based on the thermal gradient tensor of all hyperthermia zones. Spatial filtering of the thermal gradient vector field is performed to obtain the abnormal fluctuation region of the temperature gradient inside the fumigation chamber; Based on the abnormal fluctuation area, the heat flow distortion distribution inside the fumigation box caused by the mother's body shape obstructing the view was identified.
[0008] In some embodiments, constructing the state transition matrix of the heat flow inside the fumigation chamber based on the thermodynamic state during the steady-state period in all temperature data, combined with the heat flow distortion distribution, specifically includes: The thermodynamic state of each hyperthermia zone is determined based on the steady-state period in all temperature data. A thermodynamic feature matrix is constructed based on the thermodynamic state of all hyperthermia zones; The heat flux distortion distribution is 3D encoded to generate a heat flux distortion topology matrix; The heat flow interaction tensor inside the fumigation chamber is obtained by performing a tensor product operation between the thermodynamic feature matrix and the heat flow distortion topology matrix. The state transition matrix of the heat flow inside the fumigation chamber is constructed based on the heat flow interaction tensor.
[0009] In some embodiments, determining the thermodynamic state of each hyperthermia zone based on the steady-state time period in all temperature data specifically includes: For each hyperthermia zone, the steady-state period with stable temperature changes is selected from the temperature data of the hyperthermia zone. The heat conduction characteristics of the hyperthermia zone are determined based on the steady-state time period; The thermodynamic state of each heat therapy zone is determined by using the thermodynamic state-space theory and the heat conduction characteristics of the zone.
[0010] In some embodiments, generating a characteristic distribution map of the steam flow field inside the fumigation chamber based on point cloud data of the mother's body contour using dynamic simulation of steam circulation specifically includes: The body contour of the target pregnant woman is scanned to obtain point cloud data of the body contour; The point cloud data is converted into a contour mesh model suitable for simulation analysis; The steam flow inside the fumigation chamber was simulated using the outline mesh model based on the steam circulation dynamic simulation, and the distribution of the flow state of hot steam after being blocked by the mother's body inside the fumigation chamber was obtained. A characteristic distribution map of the steam flow field inside the fumigation box is generated based on the flow state distribution.
[0011] In some embodiments, determining the dynamic flow field disturbance tolerance of each thermotherapy zone by combining the characteristic distribution map with the temperature response curves during the disturbance period in all temperature data specifically includes: Screen out periods of drastic temperature fluctuations from the temperature data of all hyperthermia zones; The temperature response curve inside the fumigation chamber is generated based on all disturbance periods; Construct a flow field feature tensor based on the steam flow field characteristics inside the fumigation box in the feature distribution map; The temperature fluctuation range of each thermotherapy zone under different flow field conditions is determined by the flow field characteristic tensor and the temperature response curve. The dynamic flow field disturbance tolerance for each hyperthermia zone is determined based on all temperature fluctuation ranges.
[0012] Secondly, this application provides a postpartum fumigation and conditioning device for obstetrics, the device including a thermal field equalization control unit, the thermal field equalization control unit including: The data acquisition module is used to sample the temperature of each preset heat therapy zone inside the fumigation box to obtain the temperature data of each heat therapy zone. The processing module is used to construct the thermal field gradient tensor of each thermotherapy zone through all temperature data, and then to identify anomalies in the internal temperature of the fumigation box based on the thermal field gradient tensor of all thermotherapy zones, so as to obtain the heat flow distortion distribution caused by the obstruction of the mother's body shape in the fumigation box. The processing module is used to construct a state transition matrix of the heat flow inside the fumigation chamber based on the thermodynamic state of the steady-state period in all temperature data and the heat flow distortion distribution. The processing module is used to generate a characteristic distribution map of the steam flow field in the fumigation box based on the point cloud data of the mother's body contour using dynamic simulation of steam circulation. The dynamic flow field disturbance tolerance of each heat therapy zone is determined by combining the characteristic distribution map with the temperature response curve of the disturbance period in all temperature data. The execution module is used to generate a parameter adjustment vector for controlling the thermal field balance inside the fumigation box based on the state transition matrix and the dynamic flow field disturbance tolerance of all heat therapy zones, and to adjust the power of the heaters in each heat therapy zone inside the fumigation box based on the parameter adjustment vector.
[0013] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory storing code, the processor being configured to acquire the code and execute the above-described heat field equalization control method for the postpartum fumigation and conditioning device.
[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for equalizing the thermal field of the postpartum fumigation and conditioning device.
[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: The postpartum fumigation and conditioning device and its control method for obstetric use provided in this application firstly sample the temperature of each preset heat therapy zone inside the fumigation box to obtain temperature data for each heat therapy zone; construct the thermal field gradient tensor of each heat therapy zone using all temperature data, and then identify anomalies in the internal temperature of the fumigation box based on the thermal field gradient tensor of all heat therapy zones to obtain the heat flow distortion distribution caused by the mother's body shape obstruction inside the fumigation box; construct the state transition matrix of the internal heat flow of the fumigation box based on the thermodynamic state of the steady-state period in all temperature data and the heat flow distortion distribution; generate a characteristic distribution map of the steam flow field inside the fumigation box using dynamic simulation of steam circulation based on the point cloud data of the mother's body contour, and determine the dynamic flow field disturbance tolerance of each heat therapy zone by combining the characteristic distribution map with the temperature response curve of the disturbance period in all temperature data; generate a parameter adjustment vector to control the thermal field balance inside the fumigation box based on the state transition matrix and the dynamic flow field disturbance tolerance of all heat therapy zones, and adjust the power of the heaters in each heat therapy zone inside the fumigation box based on the parameter adjustment vector.
[0016] Therefore, this application adjusts the power of the heaters in each thermotherapy zone inside the fumigation box based on the parameter adjustment vector. First, determining the heat flow distortion distribution yields a three-dimensional distribution reflecting the spatial location, shape, and intensity of temperature anomalies within the fumigation box. This determination visually presents abnormal areas where heat flow deviates from the normal diffusion pattern, thus accurately identifying localized overheating or thermal dead zones (such as eddy zones or areas with impeded heat conduction) caused by the mother's body shape obstruction. This addresses the deficiency in existing technologies where heat flow distortion areas cannot be identified in real time, providing a precise basis for locating thermal anomalies in subsequent state-space-based dynamic control. Then, determining the state transition matrix yields a matrix describing the dynamic changes and coupling relationships of the heat state in each thermotherapy zone within the fumigation box over time. By constructing the state transition matrix of the heat flow inside the fumigation box, the thermodynamic steady-state characteristics and heat flow distortion distribution can be integrated into a characterization of heat... The characteristic matrix of the spatiotemporal coupling relationship of the flow addresses the deficiency in existing technologies that cannot quantify the interaction between heat conduction and fluid disturbance, providing a core modeling foundation for dynamic control of the thermal field. Finally, determining the dynamic flow field disturbance tolerance allows for the maximum allowable temperature fluctuation range of the thermotherapy zone under the action of the dynamic flow field. The determination of the dynamic flow field disturbance tolerance can quantify the safe temperature fluctuation range of each zone under different flow field states (e.g., ±1.5℃ in the abdominal region) based on the characteristics of the steam flow field and the temperature response curve, solving the deficiency in existing technologies that cannot dynamically define the safe threshold of thermal field disturbance. This ensures thermal field balance and avoids overheating or underheating, enabling the system to adaptively adjust the heater power according to real-time flow field changes, thereby improving the comfort of the mother and the stability of the therapeutic effect. In summary, based on the above scheme, the heat flow coupling relationship inside the fumigation box can be quantified by combining the mother's body shape characteristics and the dynamic characteristics of the steam flow field to adaptively adjust the heater power. Attached Figure Description
[0017] Figure 1 This is an exemplary flowchart of a thermal field equalization control method for a postpartum fumigation and conditioning device according to some embodiments of this application; Figure 2 This is a flowchart illustrating the operation of determining the state transition matrix according to some embodiments of this application; Figure 3 This is an exemplary flowchart illustrating the determination of dynamic flow field disturbance tolerance according to some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a thermal field equalization control unit according to some embodiments of this application; Figure 5 This is an internal structural diagram of a computer device for implementing a thermal field balance control method for a postpartum fumigation and conditioning device, according to some embodiments of this application. Detailed Implementation
[0018] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0019] refer to Figure 1 The figure is an exemplary flowchart of a thermal field equalization control method for a postpartum fumigation and conditioning device according to some embodiments of this application. The thermal field equalization control method for the postpartum fumigation and conditioning device mainly includes the following steps: In step 101, the temperature of each preset heat therapy zone inside the fumigation box is sampled to obtain the temperature data of each heat therapy zone.
[0020] It should be noted that, in this application, temperature data refers to a dataset composed of temperature values within the thermotherapy zones when the fumigation box is started. This temperature data can be used to accurately describe the thermal field distribution within the fumigation box, thereby supporting thermal field gradient calculation and dynamic control, ensuring thermal field balance and therapeutic effect. In specific implementation, temperature sampling is performed on each preset thermotherapy zone inside the fumigation box to obtain the temperature data of each thermotherapy zone. This can be achieved in the following way: multiple thermotherapy zones can be pre-divided inside the fumigation box according to the target human body area (such as head, back, abdomen, and legs), and two temperature sensors (such as platinum resistance temperature sensors) are arranged at the center and edge of each thermotherapy zone. For each thermotherapy zone, the temperature of the thermotherapy zone is collected by the temperature sensor at preset collection time intervals (such as 5 seconds) when the target postpartum woman is fumigated, and the temperature data of the thermotherapy zone is obtained. The temperature data of each thermotherapy zone can be obtained through the above steps.
[0021] In step 102, the thermal field gradient tensor of each thermotherapy zone is constructed using all temperature data. Then, based on the thermal field gradient tensor of all thermotherapy zones, anomalies in the internal temperature of the fumigation box are identified, and the heat flow distortion distribution caused by the mother's body shape obstructing the fumigation box is obtained.
[0022] In some embodiments, constructing the thermal field gradient tensor for each thermotherapy zone using all temperature data can be achieved through the following steps: For each thermotherapy zone, the temperature data of the thermotherapy zone is spatially discretized to obtain the discrete temperature matrix of the thermotherapy zone; The discrete temperature data is subjected to gradient convolution using the central difference operator to obtain the temperature gradient vector in three dimensions for each voxel in the thermotherapy zone. The thermal field gradient tensor of each thermotherapy zone is constructed based on all temperature gradient vectors, and then the thermal field gradient tensor of each thermotherapy zone is obtained.
[0023] In specific implementation, the temperature data of the thermotherapy zone is spatially discretized to obtain the discrete temperature matrix of the thermotherapy zone. This can be achieved by dividing the thermotherapy zone into multiple equally spaced basic voxel grids (such as 5 cm × 5 cm × 5 cm cube voxels), and then performing voxel-level interpolation (such as trilinear interpolation) on the temperature data of the thermotherapy zone to generate the discrete temperature matrix of the thermotherapy zone. Voxel-level interpolation can estimate the temperature of non-sensor points and perform Laplacian edge smoothing on the grid boundaries to generate a discrete temperature matrix containing the temperature value of each voxel node. The discrete temperature matrix is a three-dimensional matrix that records the temperature value at each spatial node within the thermotherapy zone. This discrete temperature matrix can realize the spatial structured expression of temperature data, accurately express the spatial distribution characteristics of the thermal field within the thermotherapy zone, and provide a basic data format for subsequent gradient calculations.
[0024] In specific implementation, the temperature gradient vector of each voxel in the three-dimensional direction in the thermotherapy partition can be obtained by performing gradient convolution on the discretized temperature data using the central difference operator. This can be achieved in the following way: the central difference operator (such as the fifth-order precision central difference operator) can be used to calculate the gradient of the discrete temperature matrix, and output the temperature gradient vector of each voxel node in the three-dimensional direction in the thermotherapy partition. For each voxel node in the discrete temperature matrix, the temperature gradient components of the voxel node in each direction (such as the X, Y and Z directions) in the three-dimensional coordinate system can be calculated by the gradient calculation formula in the central difference operator. Then, the vector composed of the temperature gradient components in all directions is taken as the temperature gradient vector of the voxel node in the three-dimensional direction. The temperature gradient vector of each voxel node in the three-dimensional direction in the thermotherapy partition can be obtained through the above steps.
[0025] It should be noted that, in this application, the temperature gradient vector is a vector that characterizes the direction and magnitude of local temperature changes at voxel nodes within the thermotherapy zone. This temperature gradient vector can be used to characterize the local heat diffusion rate and direction within the thermotherapy zone, and intuitively reflects the direction and intensity of heat flow within the thermotherapy zone.
[0026] In practice, the thermal field gradient tensor of the thermotherapy zone can be constructed based on all temperature gradient vectors in the following way: the temperature gradient vectors of each voxel node in the thermotherapy zone can be organized into a three-dimensional array according to the spatial position of the voxel node, and this three-dimensional array can be used as the thermal field gradient tensor of the thermotherapy zone.
[0027] It should be noted that in this application, the thermal field gradient tensor is a third-order tensor that characterizes the overall heat flow distribution structure within the thermotherapy zone. This thermal field gradient tensor can reflect the anisotropic characteristics and spatial variation law of the thermal field within the thermotherapy zone, and is the core intermediate quantity for realizing heat flow anomaly identification and dynamic control of the thermal field.
[0028] In some embodiments, anomaly identification of the internal temperature of the fumigation chamber based on the thermal field gradient tensor of all hyperthermia zones, and obtaining the heat flow distortion distribution inside the fumigation chamber caused by the obstruction of the mother's body shape, can be achieved through the following steps: The thermal gradient vector field inside the fumigation box is determined based on the thermal gradient tensor of all hyperthermia zones. Spatial filtering of the thermal gradient vector field is performed to obtain the abnormal fluctuation region of the temperature gradient inside the fumigation chamber; Based on the abnormal fluctuation area, the heat flow distortion distribution inside the fumigation box caused by the mother's body shape obstructing the view was identified.
[0029] In specific implementation, the thermal gradient vector field inside the fumigation chamber can be determined based on the thermal gradient tensor of all thermotherapy zones in the following way: the temperature gradient vector of each voxel node in the thermal gradient tensor of all thermotherapy zones can be mapped to the unified coordinate system of the fumigation chamber according to the voxel space coordinates, forming a globally consistent thermal gradient vector field; wherein, the thermal gradient vector field is a three-dimensional vector array representing the direction and intensity of temperature change of each spatial voxel in the fumigation chamber, which can be used to accurately characterize the global heat flow diffusion trend in the fumigation chamber, help identify abnormal temperature areas and support the accurate positioning and control optimization of heat flow distortion.
[0030] In specific implementation, spatial filtering of the thermal gradient vector field to obtain the abnormal fluctuation region of the temperature gradient inside the fumigation chamber can be achieved in the following way: First, existing filtering techniques (such as three-dimensional median filtering) can be used to spatially smooth the thermal gradient vector field. Then, a threshold segmentation method is used to extract voxel regions in the smoothed thermal gradient vector field where the magnitude of the temperature gradient vector difference compared with the surrounding voxel nodes (such as 6-domain) exceeds a preset threshold (such as 2). The set of all extracted voxel regions is taken as the abnormal fluctuation region of the temperature gradient inside the fumigation chamber. The abnormal fluctuation region refers to the spatial region in the thermal field of the fumigation chamber where the temperature gradient changes abruptly or is discontinuously deviates significantly from the normal pattern, which can be used to identify abnormal heat flow phenomena in advance.
[0031] In specific implementation, the identification of heat flow distortion distribution within the fumigation chamber caused by the mother's body shape obstructing the view based on the abnormal fluctuation region can be achieved in the following way: First, a clustering algorithm (such as a density-based spatial clustering algorithm) can be used to spatially cluster the extracted abnormal fluctuation region (the neighborhood radius can be set to 0.5 cm, and the minimum number of samples to 5). Adjacent abnormal voxel nodes are divided into the same clusters, resulting in multiple clusters, and each cluster is treated as an independent temperature anomaly region. Then, for each temperature anomaly region, the geometric features of the temperature anomaly region (such as the geometric center and volume) are calculated, and all temperature gradients within the anomaly region are calculated. The average value of the cosine of the angle between the vector and the principal axis of the abnormal region is taken as the heat flow direction deviation of the abnormal region. Then, the ratio of the average magnitude of all temperature gradient vectors at the boundary of the abnormal region to the average magnitude of the temperature gradient vector in the normal region is calculated as the heat flow distortion intensity of the abnormal region. Through the above steps, the geometric characteristics, heat flow direction deviation, and heat flow distortion intensity of each temperature abnormal region can be obtained. Finally, the spatial location, geometric characteristics, heat flow direction deviation, and heat flow distortion intensity of all abnormal regions are integrated into a three-dimensional tensor field by using a multi-dimensional feature parameter tensor synthesis method (such as direct tensor splicing method), forming the heat flow distortion distribution caused by the mother's body shape obstruction in the fumigation box.
[0032] It should be noted that, in this application, the heat flux distortion distribution is a three-dimensional distribution that reflects the spatial location, shape and intensity of temperature anomalies in the fumigation chamber. This heat flux distortion distribution can be used to visually present the abnormal areas in the fumigation chamber where the heat flux deviates from the normal diffusion pattern, helping to accurately restore the location and range of the heat field disturbance source, and is the core basis for achieving dynamic equilibrium control of the heat field.
[0033] In step 103, a state transition matrix of the heat flow inside the fumigation chamber is constructed based on the thermodynamic state of the steady-state period in all temperature data and the heat flow distortion distribution.
[0034] In some embodiments, reference Figure 2 The figure is a flowchart illustrating the operation of determining the state transition matrix according to some embodiments of this application. In this application, the state transition matrix of the heat flow inside the fumigation chamber can be constructed based on the thermodynamic state of the steady-state period in all temperature data and the heat flow distortion distribution, which can be achieved by the following steps: The thermodynamic state of each hyperthermia zone is determined based on the steady-state period in all temperature data. A thermodynamic feature matrix is constructed based on the thermodynamic state of all hyperthermia zones; The heat flux distortion distribution is 3D encoded to generate a heat flux distortion topology matrix; The heat flow interaction tensor inside the fumigation chamber is obtained by performing a tensor product operation between the thermodynamic feature matrix and the heat flow distortion topology matrix. The state transition matrix of the heat flow inside the fumigation chamber is constructed based on the heat flow interaction tensor.
[0035] Preferably, in some embodiments, determining the thermodynamic state of each hyperthermia zone based on the steady-state period in all temperature data can be achieved by the following steps: For each hyperthermia zone, the steady-state period with stable temperature changes is selected from the temperature data of the hyperthermia zone. The heat conduction characteristics of the hyperthermia zone are determined based on the steady-state time period; The thermodynamic state of each heat therapy zone is determined by using the thermodynamic state-space theory and the heat conduction characteristics of the zone.
[0036] In practice, the steady-state periods with stable temperature changes in the temperature data of the thermotherapy zone can be selected in the following way: The temperature data of the thermotherapy zone can be divided into segments according to a set window length (e.g., 30 seconds) using a sliding window method, and the temperature change rate of the temperature data in each segment can be calculated. If the temperature change rate is lower than the preset change rate threshold (e.g., 0.1 degrees Celsius per minute), the segment is marked as a steady-state period. Through the above steps, all steady-state periods with stable temperature changes in the thermotherapy zone can be obtained. The steady-state period refers to the time interval in which the temperature maintains small fluctuations and tends to stabilize within a certain period of time.
[0037] In specific implementation, the heat conduction characteristics of the thermotherapy zone based on the steady-state period can be determined in the following way: an existing steady-state heat conduction model (such as a one-dimensional steady-state heat conduction model) can be loaded, and the temperature data of the steady-state period in the thermotherapy zone can be input into the steady-state heat conduction model to fit the temperature field of the thermotherapy zone. The heat conduction parameter values (such as thermal conductivity, thermal diffusivity, and specific heat capacity) of the thermotherapy zone can be calculated by combining the known spatial structure parameters (such as voxel spacing and heater power) in the thermotherapy zone. Then, the vector composed of all the obtained heat conduction parameter values is used as the heat conduction characteristics of the thermotherapy zone. The heat conduction characteristics are a set of parameter values that reflect the ability of heat to diffuse in the thermotherapy zone. The heat conduction characteristics can be used to quantify the differences in thermal behavior of each thermotherapy zone and provide a thermophysical basis for state modeling.
[0038] In practice, the thermodynamic state of a thermotherapy zone can be determined by using thermodynamic state-space theory to determine the heat conduction characteristics of the zone. This can be achieved in the following way: based on thermodynamic state-space theory, the heat conduction characteristics can be used as state variables to construct a set of state-space equations. Then, the state-space parameter matrix can be derived from the set of state-space equations using a system identification method (such as recursive least squares). Finally, the extended state-space modeling method can be used to construct a state equation containing dynamic temperature changes and physical properties of heat conduction based on the state-space parameter matrix and the heat conduction parameters in the heat conduction characteristics, thereby obtaining the thermodynamic state of the thermotherapy zone.
[0039] It should be noted that, in this application, the thermodynamic state is a dynamic characteristic that characterizes the temperature change trend and heat transfer process of the thermotherapy zone. This thermodynamic state can be used to comprehensively reflect the response mechanism of the temperature control system and is the core foundation for constructing a heat flow coupling control strategy. In specific implementation, the thermodynamic feature matrix can be constructed based on the thermodynamic states of all thermotherapy zones in the following way: thermodynamic parameter values (such as thermal conductivity, heat capacity, and thermal response time constant) can be extracted from the thermodynamic states of each thermotherapy zone, and the matrix formed by arranging all the extracted thermodynamic parameter values in spatial topological order is used as the thermodynamic feature matrix; wherein, the thermodynamic feature matrix is a matrix formed by arranging the thermodynamic parameters of all thermotherapy zones in spatial layout, and this thermodynamic feature matrix reflects the heat transfer capacity and dynamic response differences between different thermotherapy zones inside the fumigation box, and is the basic data structure for describing the overall thermodynamic behavior of the system.
[0040] In specific implementation, the three-dimensional encoding of the heat flow distortion distribution to generate a heat flow distortion topology matrix can be achieved in the following way: the heat flow distortion distribution can be three-dimensionally voxelized and encoded to generate a heat flow distortion topology matrix; wherein, the three-dimensional voxelization encoding marks each voxel node in the fumigation chamber based on the heat flow distortion distribution to indicate whether there is heat flow distortion, the intensity of heat therapy distortion, and the deviation of heat flow direction, and uses quaternions to represent the direction information, thereby encoding each voxel into a quintuple, and then constructing a sparse matrix through the adjacency relationship of all voxel nodes, the matrix elements representing the distortion transmission weight between voxel nodes, and the constructed sparse matrix is used as the heat flow distortion topology matrix; wherein, the heat flow distortion topology matrix is a matrix that records the heat flow distortion transmission weight between voxel nodes in the fumigation chamber, and this heat flow distortion topology matrix accurately captures the abnormal heat flow distribution caused by the mother's body shape through quaternion direction encoding and distance decay function, realizing the spatial topological expression of heat flow abnormality.
[0041] In specific implementation, the thermal flow interaction tensor within the fumigation chamber can be obtained by performing a tensor product operation on the thermodynamic feature matrix and the thermal flow distortion topology matrix. This can be achieved in the following way: the thermal flow interaction tensor can be generated by fusing the thermodynamic feature matrix and the thermal flow distortion topology matrix using the tensor product operation method, and this four-dimensional tensor can be used as the thermal flow interaction tensor within the fumigation chamber. The thermal flow interaction tensor is a four-dimensional tensor that quantifies the interaction between different thermodynamic characteristics and distortion regions within the fumigation chamber. This thermal flow interaction tensor simultaneously contains thermodynamic parameters and spatial distortion information within the fumigation chamber, and can be used to describe the multidimensional coupling relationship of thermal convection within the fumigation chamber and reflect the local thermal flow disturbance caused by the obstruction of the mother's body shape.
[0042] It should be noted that, in this application, the state transition matrix is a matrix describing the dynamic changes and mutual coupling relationships of the heat state of each thermotherapy zone inside the fumigation chamber over time. This state transition matrix can be used to characterize the temporal evolution of the thermal field system, reflect the dynamic coupling effect of heat transfer in each thermotherapy zone and the system response characteristics, thereby capturing abnormal heat flow transmission paths caused by the mother's body shape obstruction to achieve multivariate feedback control based on the state transition matrix, enabling the system to adaptively compensate for thermal field deviations. Specifically, the state transition matrix of the heat flow inside the fumigation chamber can be constructed based on the heat flow interaction tensor in the following way: First, the heat flow interaction tensor can be reduced in dimensionality using tensor decomposition technology, decomposing the heat flow interaction tensor into a core tensor and various mode factor matrices; then, the spatiotemporal characteristics of the core tensor are mapped to state variables, and the state transition matrix is derived through the product relationship between each mode factor matrix and the core tensor, thus obtaining the state transition matrix of the heat flow inside the fumigation chamber; where the core tensor can capture the coupling characteristics of heat flow in the spatiotemporal dimension, and the mode factor matrix is a low-dimensional embedding corresponding to the spatial location and change time point of the heat flow.
[0043] In step 104, a characteristic distribution map of the steam flow field inside the fumigation box is generated based on the point cloud data of the mother's body contour using dynamic simulation of steam circulation. The dynamic flow field disturbance tolerance of each thermotherapy zone is determined by combining the characteristic distribution map with the temperature response curves of the disturbance period in all temperature data.
[0044] In some embodiments, generating a characteristic distribution map of the steam flow field inside the fumigation chamber based on point cloud data of the mother's body contour using dynamic simulation of steam circulation can be achieved through the following steps: The body contour of the target pregnant woman is scanned to obtain point cloud data of the body contour; The point cloud data is converted into a contour mesh model suitable for simulation analysis; The steam flow inside the fumigation chamber was simulated using the outline mesh model based on the steam circulation dynamic simulation, and the distribution of the flow state of hot steam after being blocked by the mother's body inside the fumigation chamber was obtained. A characteristic distribution map of the steam flow field inside the fumigation box is generated based on the flow state distribution.
[0045] In practice, the body contour of the target mother is scanned to obtain point cloud data of the mother's body contour. This can be achieved in the following way: a structured light scanner (such as Artec Eva) can be used to perform a 3D scan of the target mother while she is wearing a disposable fumigation suit and in a supine position to capture the point cloud data of the target mother's body contour. The scanning resolution of the structured light scanner can be set to 0.1 mm and the scanning frame rate to 15 frames per second. The structured light scanner can automatically remove outliers from the point cloud data and use filtering algorithms to remove noise points from the point cloud data. The point cloud data is a massive set of points representing the discrete spatial coordinates of the mother's body surface. This point cloud data can be used to accurately reconstruct the body shape of the mother and support the construction of simulation models.
[0046] In specific implementation, the point cloud data can be converted into a contour mesh model suitable for simulation analysis in the following way: the point cloud data can be reconstructed into a triangular mesh using a mesh reconstruction method (such as the Poisson surface reconstruction algorithm) to generate a closed polygonal mesh model. The generated mesh model is then topologically optimized to remove small details related to non-fluid flow and output a contour mesh model that meets the requirements of computational fluid dynamics simulation. The contour mesh model is a closed polygonal mesh generated from the point cloud data through triangular mesh reconstruction and optimization, which is used as the fluid boundary for steam flow simulation to ensure computational accuracy and stability.
[0047] In specific implementation, the steam circulation dynamic simulation is used to simulate the steam flow in the fumigation box based on the outline mesh model. The flow state distribution of hot steam after being blocked by the mother's body in the fumigation box can be obtained in the following way: The steam circulation dynamic simulation model can be loaded into the simulation software (such as ANSYS Fluent). By importing the outline mesh model, the fluid domain inside the fumigation box is set. Steam is defined as a weakly compressible fluid. Boundary conditions are set, including steam inlet velocity (e.g., 2-5 m / s), temperature (e.g., 40 degrees Celsius), and pressure parameters (e.g., 101 kPa). The steam circulation dynamic simulation model uses a turbulence model to simulate the steam circulation flow for transient simulation calculations. The output shows the velocity distribution, pressure field, and temperature gradient of the steam flow field in the fumigation box caused by the human body. The set of the velocity distribution, pressure field, and temperature gradient is then used as the flow state distribution of hot steam after being blocked by the mother's body in the fumigation box. The flow state distribution refers to the spatiotemporal distribution data of velocity, pressure, and temperature of steam in the fumigation box caused by the mother's body shape. This flow state distribution can be used to analyze the actual flow behavior of hot steam.
[0048] It should be noted that in this application, the feature distribution map is a three-dimensional graphic generated based on flow state data through visualization processing. This feature distribution map transforms complex flow data into an intuitive image, visually displaying the key flow characteristics of the steam flow field, highlighting features such as eddies and high-temperature regions, enabling the system to quickly locate abnormal heat flow areas and assisting in the formulation and optimization of thermal field control strategies. In specific implementation, the feature distribution map of the steam flow field in the fumigation box can be generated based on the flow state distribution in the following way: visualization software (such as Tecplot 360) can be used to visualize the flow state distribution and extract the key flow velocity, temperature gradient, and pressure gradient in the flow state distribution. Then, combined with rendering technology (such as direct volume rendering technology), the flow trend and obstructed areas of the steam flow field are visually displayed as a three-dimensional feature distribution map, thereby obtaining the feature distribution map of the steam flow field in the fumigation box.
[0049] In some embodiments, reference Figure 3 The figure is an exemplary flowchart illustrating the determination of dynamic flow field disturbance tolerance according to some embodiments of this application. In this application, the determination of the dynamic flow field disturbance tolerance of each thermotherapy zone by combining the feature distribution map with the temperature response curves of the disturbance period in all temperature data can be achieved by the following steps: In step 1041, periods of drastic temperature fluctuations are selected from the temperature data of all hyperthermia zones. In step 1042, the temperature response curve inside the fumigation chamber is generated based on all disturbance periods; In step 1043, a flow field feature tensor is constructed based on the steam flow field characteristics inside the fumigation box in the feature distribution map; In step 1044, the temperature fluctuation range of each thermotherapy zone under different flow field conditions is determined by the flow field characteristic tensor and the temperature response curve; In step 1045, the dynamic flow field disturbance tolerance of each thermotherapy zone is determined based on all temperature fluctuation ranges.
[0050] In practice, the process of filtering out periods of drastic temperature changes from the temperature data of all thermotherapy zones can be achieved as follows: For the temperature data of each thermotherapy zone, a sliding window method can be used to segment the temperature data of the thermotherapy zone according to a set window length (e.g., 30 seconds) and calculate the temperature change rate of the temperature data in each segment. If the temperature change rate is higher than a preset change rate threshold (e.g., 0.1 degrees Celsius per minute), then the segment is marked as a period of drastic temperature change. Through the above steps, the periods of drastic temperature changes in all thermotherapy zones can be obtained. The period of drastic temperature change refers to the time interval in which the temperature in the thermotherapy zone changes significantly and drastically. This period of drastic temperature change can be used to capture the key stage of dynamic fluctuations in the thermal field, thereby supporting the identification and adjustment of abnormal heat flow.
[0051] In specific implementation, the temperature response curves inside the fumigation chamber based on all disturbance periods can be generated in the following way: the temperature data of each disturbance period can be interpolated and smoothed using an interpolation method (such as cubic spline interpolation) to generate temperature curves for the disturbance periods. The set of temperature curves for all disturbance periods is then used as the temperature response curves inside the fumigation chamber. The temperature response curves are a set of curves characterizing the dynamic changes in temperature caused by external disturbances during the thermotherapy process in the fumigation chamber. These temperature response curves reflect the dynamic temperature response characteristics of all thermotherapy zones in the fumigation chamber to external disturbances and can be used to analyze the dynamic response characteristics of temperature to disturbances.
[0052] In specific implementation, the flow field feature tensor constructed based on the steam flow field characteristics inside the fumigation box in the feature distribution map can be achieved in the following way: data extraction techniques (such as intrinsic orthogonal decomposition) can be used to extract the steam flow field characteristics (i.e., velocity characteristics, temperature gradient characteristics, and pressure gradient characteristics) inside the fumigation box from the feature distribution map. Then, according to the spatial division of the heat therapy zones inside the fumigation box, all the steam flow field characteristics are integrated into a multidimensional tensor, thereby obtaining the flow field feature tensor inside the fumigation box. This tensor provides structured information for dynamic heat flow disturbance analysis. The flow field feature tensor is a multidimensional data structure extracted from the steam flow field feature distribution, which comprehensively expresses key parameters such as velocity, pressure, and eddies, and reflects the complex flow state inside the fumigation box.
[0053] In specific implementation, determining the temperature fluctuation range of each thermotherapy zone under different flow field states by using the flow field feature tensor and the temperature response curve can be achieved in the following way: First, the flow field feature tensor and the temperature response curve can be spatiotemporally aligned to ensure that their spatial nodes (i.e., voxel nodes) and timestamps are completely matched; then, a dynamic multiple linear regression model is used to construct the mapping relationship between the flow field feature tensor and the temperature response curve, and the temperature fluctuation range (e.g., ±0.6 degrees Celsius) of each thermotherapy zone under different flow field states (e.g., low-speed laminar flow, high-speed turbulent flow) is predicted through this mapping relationship; wherein, the dynamic multiple linear regression model uses the flow field feature tensor... The feature data of each spatiotemporal node (such as the flow velocity, temperature gradient, or pressure gradient of the i-th voxel node at time t) are used as input features. The gain coefficient of the corresponding spatiotemporal node in the temperature response curve is used as the influence weight of the corresponding flow velocity, temperature gradient, and pressure gradient. The state equation obtained by least squares fitting is used as the mapping relationship between the flow field feature tensor and the temperature response curve. The temperature fluctuation range is the dynamic change range of the temperature of the thermotherapy zone under different steam flow field states (such as changes in flow velocity and pressure). This temperature fluctuation range can be used to predict abnormal temperature fluctuations in the zone caused by changes in the flow field such as sudden changes in steam flow velocity, thereby assisting in setting the safe temperature threshold for thermotherapy.
[0054] It should be noted that, in this application, the dynamic flow field disturbance tolerance is the maximum temperature fluctuation range allowed in the thermotherapy zone under the action of the dynamic flow field. This dynamic flow field disturbance tolerance can be used to guide the dynamic adjustment of the power of the fumigation chamber heater, ensuring a balanced heat field and avoiding overheating or underheating, thereby improving the comfort of the mother and the stability of the therapeutic effect. In specific implementation, the dynamic flow field disturbance tolerance of each thermotherapy zone can be determined based on all temperature fluctuation ranges in the following way: For each thermotherapy zone, the average value of all temperature fluctuation ranges under different flow field states (such as low-speed laminar flow and high-speed turbulent flow) can be calculated as the dynamic flow field disturbance tolerance of the thermotherapy zone. The dynamic flow field disturbance tolerance of each thermotherapy zone can be obtained through the above steps.
[0055] In step 105, a parameter adjustment vector for controlling the thermal field balance inside the fumigation box is generated based on the state transition matrix and the dynamic flow field disturbance tolerance of all thermotherapy zones. The power of the heaters in each thermotherapy zone inside the fumigation box is adjusted based on the parameter adjustment vector.
[0056] In specific implementation, the parameter adjustment vector for controlling the thermal field balance inside the fumigation chamber, based on the state transition matrix and the dynamic flow field disturbance tolerance of all thermotherapy zones, can be generated in the following way: The state transition matrix and the dynamic flow field disturbance tolerance of each thermotherapy zone can be input into the linear quadratic regulator algorithm module. The optimal feedback gain matrix is derived by solving the algebraic Riccati equation, and a parameter adjustment vector containing the power adjustment coefficient of the heater in each thermotherapy zone (e.g., 0.92±0.05 for the abdominal zone) and the adjustment time step (0.33 seconds) is generated based on the optimal feedback gain matrix. Thus, the parameter adjustment vector for controlling the thermal field balance inside the fumigation chamber is obtained. The linear quadratic regulator algorithm module takes the current thermal field state and the disturbance tolerance threshold as input, calculates the power adjustment coefficient and adjustment time step of the heater in each thermotherapy zone, and ensures that the temperature fluctuation does not exceed the disturbance tolerance, forming an adaptive parameter adjustment vector to dynamically compensate for the thermal field deviation caused by changes in the mother's position or fluctuations in steam parameters.
[0057] It should be noted that in this application, the parameter adjustment vector is an array of control parameters for dynamically adjusting the heater power to achieve uniform and stable temperature inside the fumigation chamber. This parameter adjustment vector can be used to dynamically compensate for thermal field deviations to achieve uniform temperature distribution inside the fumigation chamber.
[0058] In specific implementation, adjusting the power of the heaters in each heat therapy zone inside the fumigation box based on the parameter adjustment vector can be achieved in the following way: the controller can send power adjustment commands to the corresponding heaters based on the power adjustment coefficients and adjustment time steps of the heaters in each heat therapy zone in the parameter adjustment vector, thereby realizing the dynamic balance adjustment of the heat field inside the fumigation box; this process adopts closed-loop feedback control, continuously monitors temperature changes, ensures that the temperature of each heat therapy zone is stable within the set range, and responds to environmental disturbances and changes in the mother's body shape, thereby improving the heat therapy effect and comfort.
[0059] In another aspect, in some embodiments, this application provides a postpartum fumigation and conditioning device for obstetrics, the device including a thermal field equalization control unit, referenced... Figure 4 The figure is a schematic diagram of the structure of a thermal field equalization control unit according to some embodiments of this application. The thermal field equalization control unit 400 includes: a data acquisition module 401, a processing module 402, and an execution module 403, which are described below: The acquisition module 401 in this application is mainly used to sample the temperature of each preset heat therapy zone inside the fumigation box to obtain the temperature data of each heat therapy zone. Processing module 402, in this application, is mainly used to construct the thermal field gradient tensor of each thermotherapy zone through all temperature data, and then to identify the abnormal temperature inside the fumigation box based on the thermal field gradient tensor of all thermotherapy zones, so as to obtain the heat flow distortion distribution inside the fumigation box caused by the obstruction of the mother's body shape. It should be noted that the processing module 402 in this application is also used to construct a state transition matrix of the heat flow inside the fumigation box based on the thermodynamic state of the steady-state period in all temperature data and the heat flow distortion distribution. Additionally, it should be noted that the processing module 402 in this application is also used to generate a characteristic distribution map of the steam flow field in the fumigation box based on the point cloud data of the mother's body contour using dynamic simulation of steam circulation, and to determine the dynamic flow field disturbance tolerance of each heat therapy zone by combining the characteristic distribution map with the temperature response curve of the disturbance period in all temperature data. The execution module 403 in this application is mainly used to generate a parameter adjustment vector for controlling the thermal field balance inside the fumigation box based on the state transition matrix and the dynamic flow field disturbance tolerance of all heat therapy zones, and to adjust the power of the heaters in each heat therapy zone inside the fumigation box based on the parameter adjustment vector.
[0060] Each module in the aforementioned postpartum fumigation and conditioning device for obstetrics can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.
[0061] In another embodiment, this application provides a computer device, which may be a server, and its internal structure diagram may be as follows. Figure 5 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores data on a thermal field equalization control method for a postpartum fumigation and conditioning device. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a thermal field equalization control method for a postpartum fumigation and conditioning device.
[0062] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0063] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above embodiment of the thermal field equalization control method for the postpartum fumigation and conditioning device.
[0064] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described embodiment of the thermal field equalization control method for the postpartum fumigation and conditioning device.
[0065] In one embodiment, a computer program product or computer program is provided, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps in the above-described embodiment of the thermal field equalization control method for postpartum fumigation and conditioning apparatus.
[0066] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.
[0067] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0068] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for equalizing the heat field in a postpartum fumigation and conditioning device, used to intelligently adjust the power of the heater inside the fumigation chamber in the postpartum fumigation and conditioning device for obstetrics to achieve dynamic equalization of the fumigation heat field, characterized in that... The method includes the following steps: Temperature samples were taken from each preset heat therapy zone inside the fumigation box to obtain temperature data for each heat therapy zone. By constructing the thermal field gradient tensor of each thermotherapy zone using all temperature data, and then identifying anomalies in the internal temperature of the fumigation box based on the thermal field gradient tensor of all thermotherapy zones, the distribution of heat flow distortion caused by the obstruction of the mother's body shape inside the fumigation box is obtained. Based on the thermodynamic state during the steady-state period of all temperature data and the heat flow distortion distribution, a state transition matrix of the heat flow inside the fumigation chamber is constructed. Using dynamic simulation of steam circulation, a characteristic distribution map of the steam flow field inside the fumigation box is generated based on the point cloud data of the mother's body contour. The dynamic flow field disturbance tolerance of each thermotherapy zone is determined by combining the characteristic distribution map with the temperature response curves of the disturbance period in all temperature data. Based on the state transition matrix and the dynamic flow field disturbance tolerance of all thermotherapy zones, a parameter adjustment vector is generated to control the thermal field balance inside the fumigation box. The power of the heaters in each thermotherapy zone inside the fumigation box is adjusted based on the parameter adjustment vector.
2. The method as described in claim 1, characterized in that, Constructing the thermal field gradient tensor for each hyperthermia zone using all temperature data specifically includes: For each thermotherapy zone, the temperature data of the thermotherapy zone is spatially discretized to obtain the discrete temperature matrix of the thermotherapy zone; The discrete temperature data is subjected to gradient convolution using the central difference operator to obtain the temperature gradient vector in three dimensions for each voxel in the thermotherapy zone. The thermal field gradient tensor of each thermotherapy zone is constructed based on all temperature gradient vectors, and then the thermal field gradient tensor of each thermotherapy zone is obtained.
3. The method as described in claim 1, characterized in that, Anomalies in the internal temperature of the fumigation chamber were identified based on the thermal field gradient tensor of all hyperthermia zones. The specific distribution of heat flow distortion caused by the obstruction of the mother's body shape within the fumigation chamber included: The thermal gradient vector field inside the fumigation box is determined based on the thermal gradient tensor of all hyperthermia zones. Spatial filtering of the thermal gradient vector field is performed to obtain the abnormal fluctuation region of the temperature gradient inside the fumigation chamber; Based on the abnormal fluctuation area, the heat flow distortion distribution inside the fumigation box caused by the mother's body shape obstructing the view was identified.
4. The method as described in claim 1, characterized in that, Based on the thermodynamic state during the steady-state period of all temperature data and combined with the heat flow distortion distribution, the state transition matrix of the heat flow inside the fumigation chamber is constructed, specifically including: The thermodynamic state of each hyperthermia zone is determined based on the steady-state period in all temperature data. A thermodynamic feature matrix is constructed based on the thermodynamic state of all hyperthermia zones; The heat flux distortion distribution is 3D encoded to generate a heat flux distortion topology matrix; The heat flow interaction tensor inside the fumigation chamber is obtained by performing a tensor product operation between the thermodynamic feature matrix and the heat flow distortion topology matrix. The state transition matrix of the heat flow inside the fumigation chamber is constructed based on the heat flow interaction tensor.
5. The method as described in claim 4, characterized in that, Determining the thermodynamic state of each hyperthermia zone based on the steady-state time period of all temperature data specifically includes: For each hyperthermia zone, the steady-state period with stable temperature changes is selected from the temperature data of the hyperthermia zone. The heat conduction characteristics of the hyperthermia zone are determined based on the steady-state time period; The thermodynamic state of each heat therapy zone is determined by using the thermodynamic state-space theory and the heat conduction characteristics of the zone.
6. The method as described in claim 1, characterized in that, Using dynamic simulation of steam circulation, a characteristic distribution map of the steam flow field inside the fumigation chamber is generated based on point cloud data of the mother's body contour. Specifically, this includes: The body contour of the target pregnant woman is scanned to obtain point cloud data of the body contour; The point cloud data is converted into a contour mesh model suitable for simulation analysis; The steam flow inside the fumigation chamber was simulated using the outline mesh model based on the steam circulation dynamic simulation, and the distribution of the flow state of hot steam after being blocked by the mother's body inside the fumigation chamber was obtained. A characteristic distribution map of the steam flow field inside the fumigation box is generated based on the flow state distribution.
7. The method as described in claim 1, characterized in that, The dynamic flow field disturbance tolerance of each hyperthermia zone is determined by combining the characteristic distribution map with the temperature response curves during the disturbance period in all temperature data. Specifically, this includes: Screen out periods of drastic temperature fluctuations from the temperature data of all hyperthermia zones; The temperature response curve inside the fumigation chamber is generated based on all disturbance periods; Construct a flow field feature tensor based on the steam flow field characteristics inside the fumigation box in the feature distribution map; The temperature fluctuation range of each thermotherapy zone under different flow field conditions is determined by the flow field characteristic tensor and the temperature response curve. The dynamic flow field disturbance tolerance for each hyperthermia zone is determined based on all temperature fluctuation ranges.
8. A postpartum fumigation and conditioning device for obstetrics, the device comprising a thermal field equalization control unit, characterized in that, The thermal field equalization control unit includes: The data acquisition module is used to sample the temperature of each preset heat therapy zone inside the fumigation box to obtain the temperature data of each heat therapy zone. The processing module is used to construct the thermal field gradient tensor of each thermotherapy zone through all temperature data, and then to identify anomalies in the internal temperature of the fumigation box based on the thermal field gradient tensor of all thermotherapy zones, so as to obtain the heat flow distortion distribution caused by the obstruction of the mother's body shape in the fumigation box. The processing module is used to construct a state transition matrix of the heat flow inside the fumigation chamber based on the thermodynamic state of the steady-state period in all temperature data and the heat flow distortion distribution. The processing module is used to generate a characteristic distribution map of the steam flow field in the fumigation box based on the point cloud data of the mother's body contour using dynamic simulation of steam circulation. The dynamic flow field disturbance tolerance of each heat therapy zone is determined by combining the characteristic distribution map with the temperature response curve of the disturbance period in all temperature data. The execution module is used to generate a parameter adjustment vector for controlling the thermal field balance inside the fumigation box based on the state transition matrix and the dynamic flow field disturbance tolerance of all heat therapy zones, and to adjust the power of the heaters in each heat therapy zone inside the fumigation box based on the parameter adjustment vector.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the thermal field equalization control method for the postpartum fumigation and conditioning device according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the thermal field equalization control method for the postpartum fumigation and conditioning device as described in any one of claims 1 to 7.