Postpartum fumigation conditioning device and method for obstetrics and gynecology department

Abstract

According to the postpartum fumigation conditioning device and method for the obstetrics and gynecology department, the distribution gradient of the temperature in the horizontal direction in a fumigation box is determined, and then the monitoring temperature is divided into a normal temperature section and an interference temperature section based on the distribution gradient; determining a temperature confidence interval of each monitoring area in the fumigation box, and performing fusion estimation on the state vector of the temperature of each monitoring area through each temperature confidence interval and the distribution gradient to obtain a temperature response state of each monitoring area; further determining the disturbance margin of the temperature of each monitoring area in the circulating fumigation process of the fumigation gas; and according to all the disturbance margins and the temperature response state of each monitoring area, determining the thermal compensation amount of the corresponding monitoring area, obtaining the thermal compensation amount of each monitoring area, and adjusting the power of the heater of the corresponding monitoring area according to each thermal compensation amount. By the adoption of the scheme, dynamic balanced temperature control of the postpartum fumigation conditioning device for the obstetrics and gynecology department based on the regional temperature gradient can be achieved.

Description

Technical Field

[0001] The present application relates to the technical field of postpartum conditioning equipment, and more specifically, to a postpartum fumigation conditioning device and method for obstetrics and gynecology. Background Art

[0002] The postpartum fumigation and conditioning device for obstetrics and gynecology is a rehabilitation equipment designed specifically for parturients. It uses Chinese medicine steam to fumigate and condition the parturient's body. The device mainly heats water and Chinese medicine to generate steam, and then transports the steam to a specific fumigation area, such as the abdomen, perineum, etc., through a catheter. The fumigation area is continuously heated by a heating device to help postpartum recovery. Its main functions include accelerating blood circulation, promoting metabolism, alleviating postpartum pain, speeding up the discharge of lochia, and helping wound healing. The thermal effect of fumigation can relieve parturient muscle fatigue and body pain. At the same time, the penetration of drugs promotes the recovery of the uterus and repairs tissue damage, thereby helping parturients to recover their body functions as soon as possible and reduce postpartum discomfort.

[0003] In the prior art, traditional postpartum fumigation and conditioning devices often ignore the spatial distribution differences of the temperature inside the fumigation box, resulting in uneven temperature control in different areas, unable to meet the precise thermal therapy needs, and mostly relying on the overall temperature setting, failing to consider the actual temperature changes in each fumigation area, making it difficult to adapt to the personalized needs of different parturients. Secondly, due to the lack of an effective temperature monitoring and adjustment mechanism, existing devices are prone to local overheating or insufficient temperature, which not only affects the fumigation effect, but may also cause discomfort or safety hazards. Furthermore, traditional postpartum fumigation and conditioning devices usually take static compensation measures when dealing with temperature disturbances caused by the circulation of fumigation gas, which are difficult to adjust dynamically, making it difficult to achieve accurate thermal compensation during the fumigation process. These defects not only reduce the effect of fumigation treatment, but also increase the comfort and safety hazards to parturients. Therefore, how to achieve dynamic balanced temperature control of postpartum fumigation and conditioning devices based on regional temperature gradients has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a postpartum fumigation conditioning device and method for obstetrics and gynecology, which can realize dynamic balanced temperature control of the postpartum fumigation conditioning device based on regional temperature gradient.

[0005] In a first aspect, the present application provides a heating power adjustment method for adjusting the power of a heater in a postpartum fumigation conditioning device for obstetrics and gynecology, the method comprising: Monitor the temperature of each monitoring area inside the fumigation box in the postpartum fumigation conditioning device for obstetrics and gynecology; Determine the distribution gradient of the temperature in the horizontal direction inside the fumigation box, and then divide all temperatures into a normal temperature section and an interference temperature section based on the distribution gradient; Determine the temperature confidence interval of each monitoring area inside the fumigation box according to the normal temperature section, and then estimate the state vector of the temperature of each monitoring area inside the fumigation box by fusing each temperature confidence interval and the distribution gradient to obtain the temperature response state of each monitoring area; Obtaining interference characteristics of the fumigation gas in the fumigation box during the cyclic fumigation process, and then determining the disturbance margin of the temperature of each monitoring area in the cyclic fumigation process of the fumigation gas according to the interference characteristics and the temperature drift of each monitoring area in the interference temperature section; The thermal compensation amount of the selected monitoring area is determined according to the temperature response state and disturbance margin of the selected monitoring area among the monitoring areas, and then the thermal compensation amount of each monitoring area is obtained, and the power of the heater corresponding to the monitoring area inside the fumigation box is adjusted according to each thermal compensation amount.

[0006] Preferably, determining the distribution gradient of the temperature in the horizontal direction inside the fumigation box specifically includes: Acquiring temperature data of each monitoring area inside the fumigation box; Determine the temperature gradient in the horizontal direction in the corresponding monitoring area according to the temperature data of each monitoring area; The distribution gradient of the temperature in the horizontal direction inside the fumigation box is determined according to all the temperature gradients.

[0007] Preferably, dividing all temperatures into a normal temperature section and an interference temperature section based on the distribution gradient specifically includes: Pre-training a data anomaly detection model according to the distribution gradient; The data anomaly detection model is used to perform interference anomaly detection on all temperatures to obtain normal temperature segments and interference temperature segments.

[0008] Preferably, determining the temperature confidence interval of each monitoring area inside the fumigation box according to the normal temperature section specifically includes: Performing a noise reduction operation on the normal temperature segment to obtain a noise reduction temperature data segment; Extracting the noise reduction temperature data of each monitoring area inside the fumigation box from the noise reduction temperature data segment; Determine the mean and variance of the temperature of the corresponding monitoring area according to the noise reduction temperature data of each monitoring area; Based on the normal distribution assumption, the upper and lower bounds of the temperature confidence interval of each monitoring area are determined by the mean and variance of the temperature of each monitoring area, and then the temperature confidence interval of each monitoring area inside the fumigation box is obtained.

[0009] Preferably, the state vectors of the temperatures of the various monitoring areas in the fumigation box are fused and estimated by using the temperature confidence intervals and the distribution gradient to obtain the temperature response states of the various monitoring areas, specifically including: Selecting a monitoring area from each monitoring area inside the fumigation box as a designated monitoring area; Determine the local fusion center of the designated monitoring area according to the temperature confidence interval of the designated monitoring area; Acquire temperature data of each monitoring point in the specified monitoring area, and then determine the vector fusion coefficient of the temperature state of each monitoring point in the specified monitoring area through all the temperature data, the local fusion center and the distribution gradient; The temperature data of all monitoring points in the specified monitoring area are fused through various vector fusion coefficients to obtain the temperature response state of the specified monitoring area, and then the temperature response state of the remaining monitoring areas is determined.

[0010] Preferably, obtaining the interference characteristics of the fumigation gas in the fumigation box during the cyclic fumigation process specifically includes: Obtaining the patient's body contour information; Based on the body contour information, a finite element simulation is performed on the circulating fumigation process of the fumigation gas in the fumigation box, and a simulation result is output; The interference characteristics of the patient's body contour on the fumigation gas during the circulating fumigation process are extracted from the simulation results.

[0011] Preferably, determining the thermal compensation amount of the selected monitoring area according to the temperature response state and the disturbance margin of the selected monitoring area among the monitoring areas, and then obtaining the thermal compensation amount of each monitoring area specifically includes: Obtain the target temperature of each monitoring area; Selecting one monitoring area from each monitoring area as a selected monitoring area; determining a temperature deviation based on a temperature response state of the selected monitoring area and a target temperature of the selected monitoring area; The temperature deviation is state compensated by the disturbance margin of the selected monitoring area to obtain the thermal compensation amount of the selected monitoring area, and the thermal compensation amount of the remaining monitoring areas is further determined.

[0012] In a second aspect, the present application provides a postpartum fumigation conditioning device for obstetrics and gynecology, the postpartum fumigation conditioning device for obstetrics and gynecology includes a fumigation box, the fumigation box is divided into a plurality of monitoring areas, each monitoring area is provided with a corresponding heater, the postpartum fumigation conditioning device for obstetrics and gynecology also includes a heating power adjustment unit, the heating power adjustment unit includes: A monitoring module, used to monitor the temperature of each monitoring area inside the fumigation box in the postpartum fumigation conditioning device for obstetrics and gynecology; A processing module, used to determine the distribution gradient of the temperature in the horizontal direction inside the fumigation box, and then divide all temperatures into a normal temperature section and an interference temperature section based on the distribution gradient; The processing module is further used to determine the temperature confidence interval of each monitoring area inside the fumigation box according to the normal temperature section, and then to fuse and estimate the state vector of the temperature of each monitoring area inside the fumigation box through each temperature confidence interval and the distribution gradient, so as to obtain the temperature response state of each monitoring area; The processing module is further used to obtain the interference characteristics of the fumigant gas in the fumigation box during the cyclic fumigation process, and then determine the disturbance margin of the temperature of each monitoring area in the cyclic fumigation process of the fumigant gas through the interference characteristics and the temperature drift of each monitoring area in the interference temperature section; The execution module is used to determine the thermal compensation amount of the selected monitoring area according to the temperature response state and disturbance margin of the selected monitoring area among the various monitoring areas, thereby obtaining the thermal compensation amount of each monitoring area, and adjusting the power of the heater of the corresponding monitoring area inside the fumigation box according to each thermal compensation amount.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned heating power regulation method.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above-mentioned heating power adjustment method when executed by a processor.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In an embodiment of the present application, the temperature of each monitoring area inside the fumigation box in the postpartum fumigation conditioning device for obstetrics and gynecology is first monitored; the distribution gradient of the temperature in the horizontal direction inside the fumigation box is further determined, and then all temperatures are divided into a normal temperature section and an interference temperature section based on the distribution gradient; the temperature confidence interval of each monitoring area inside the fumigation box is determined according to the normal temperature section, and then the state vector of the temperature of each monitoring area inside the fumigation box is fused and estimated through each temperature confidence interval and the distribution gradient, so as to obtain the temperature response state of each monitoring area; the interference characteristics of the fumigation gas in the fumigation box during the cyclic fumigation process are obtained, and then the disturbance margin of the temperature of each monitoring area of ​​the fumigation gas during the cyclic fumigation process is determined through the interference characteristics and the temperature drift of each monitoring area in the interference temperature section; the thermal compensation amount of the selected monitoring area is determined according to the temperature response state and the disturbance margin of the selected monitoring area among the monitoring areas, and then the thermal compensation amount of each monitoring area is obtained, and the power of the heater of the corresponding monitoring area inside the fumigation box is adjusted according to each thermal compensation amount.

[0016] It can be seen that the present application determines the thermal compensation amount of each monitoring area according to the temperature response state and disturbance margin of each monitoring area, and then adjusts the power of the heater of the corresponding monitoring area inside the fumigation box according to each thermal compensation amount; wherein, firstly, the temperature confidence interval of each monitoring area is determined based on the normal temperature segment, and the state vector of the temperature of each monitoring area is fused and estimated in combination with the distribution gradient of the horizontal temperature inside the fumigation box to obtain the temperature response state of each monitoring area. Through the fusion estimation of the temperature state, the confidence temperature and temperature change trend of each monitoring area can be comprehensively considered, which can improve the assessment accuracy of the temperature state of the monitoring area, thereby optimizing the difference in fumigation effect caused by uneven temperature distribution in the traditional postpartum fumigation conditioning device; secondly, by analyzing the interference characteristics of the fumigation gas and the temperature drift of each monitoring area, the interference degree of the gas circulation on the temperature during the fumigation process can be quantified, thereby determining the disturbance margin, and by quantifying the disturbance margin It helps to accurately compensate for the temperature changes in the fumigation gas circulation process, thereby overcoming the limitations of static temperature compensation of traditional postpartum fumigation conditioning devices, and then realizing dynamic adjustment of the temperature of different fumigation monitoring areas inside the fumigation box, thereby improving the thermal therapy effect; then, the thermal compensation amount of each monitoring area inside the fumigation box is determined according to the temperature response state and disturbance margin of each monitoring area, and the thermal compensation amount reflects the additional heat required for the fumigation monitoring area, and then dynamic thermal compensation is realized by adjusting the power of the heater; finally, according to the thermal compensation amount of each monitoring area, the power of the heater in each monitoring area in the postpartum fumigation conditioning device for obstetrics and gynecology is balanced and adjusted, and by balanced adjustment of the heater power, the temperature of each monitoring area can be dynamically adjusted, thereby realizing dynamic balanced temperature control based on the temperature gradient of the monitoring area, solving the problem of uneven local temperature in different fumigation monitoring areas of traditional postpartum fumigation conditioning devices, and optimizing the fumigation process of the postpartum fumigation conditioning device. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of a heating power adjustment method according to some embodiments of the present application; Figure 2 is a schematic diagram of the distribution of the internal monitoring area of ​​the fumigation box according to some embodiments of the present application; Figure 3 is a schematic diagram of a process for determining a temperature confidence interval according to some embodiments of the present application; Figure 4 is a schematic diagram of the structure of a heating power adjustment unit according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a heating power regulation method according to some embodiments of the present application. DETAILED DESCRIPTION

[0018] In order to better understand the technical solution of the present application, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1 , which is an exemplary flow chart of a heating power adjustment method according to some embodiments of the present application. The heating power adjustment method 100 mainly includes the following steps: In step 101, the temperature of each monitoring area inside the fumigation box of the postpartum fumigation conditioning device for obstetrics and gynecology is monitored.

[0020] It should be noted that the postpartum fumigation and conditioning device for obstetrics and gynecology in the present application is a device used for postpartum care in obstetrics and gynecology, which mainly helps parturients restore their body functions through Chinese medicine fumigation. The postpartum fumigation and conditioning device for obstetrics and gynecology includes: a fumigation box, a fumigation couch, a heating device, a steam delivery pipeline, a temperature control system and a medicine tank. Among them, the fumigation thermotherapy method adopted in the present application is a distributed heating method, which is characterized in that each fumigation area can be heated separately, and it has good distributed heating performance. The heating device includes multiple heaters, which are distributed in each fumigation area of ​​the fumigation box.

[0021] In the specific implementation, first, after starting the postpartum fumigation conditioning device for obstetrics and gynecology, a temperature sensor can be used to collect the temperature of each monitoring area within a specified time period, wherein the monitoring area refers to dividing the internal space of the fumigation box into multiple fumigation areas of equal size in the horizontal direction, each monitoring area corresponds to multiple monitoring points, and each fumigation area is distributed with a heater. For the convenience of explanation, the fumigation area and the monitoring area are corresponding one to one in this application. In other embodiments, the fumigation area may correspond to multiple monitoring areas, which is not limited here, such as Figure 2 As shown in the figure, this is a schematic diagram of the distribution of the monitoring area inside the fumigation box.

[0022] It should be noted that the designated time period refers to the time period corresponding to the moment when the postpartum fumigation and conditioning device for obstetrics and gynecology is started to the current moment; it should also be noted that in the present application, the temperature of the monitoring point can be collected by a temperature sensor. In other embodiments, other methods can also be used to obtain the temperature of each monitoring point, which is not limited here.

[0023] In step 102, the distribution gradient of the temperature in the horizontal direction inside the fumigation box is determined, and then all temperatures are divided into a normal temperature section and an interference temperature section based on the distribution gradient.

[0024] In some embodiments, determining the horizontal temperature distribution gradient inside the fumigation box can be achieved by using the following steps: Acquiring temperature data of each monitoring area inside the fumigation box; Determine the temperature gradient in the horizontal direction in the corresponding monitoring area according to the temperature data of each monitoring area; The distribution gradient of the temperature in the horizontal direction inside the fumigation box is determined according to all the temperature gradients.

[0025] In specific implementation, first, the temperature data of each monitoring area inside the fumigation box can be obtained from the database of the postpartum fumigation conditioning device for obstetrics and gynecology; then, for each monitoring area, the temperature data at each monitoring point in the monitoring area is obtained, and then the Euclidean distance between the temperature data at adjacent monitoring points is used as the temperature difference between the adjacent monitoring points, and then the temperature difference between all adjacent monitoring points is obtained, and then the average value of all temperature differences is used as the horizontal temperature gradient in the monitoring area, and then the horizontal temperature gradient in each monitoring area is obtained; finally, the matrix composed of each temperature gradient according to the horizontal position of the corresponding monitoring area can be used as the distribution gradient of the horizontal temperature inside the fumigation box.

[0026] It should be noted that the temperature gradient in the present application is an indicator to measure the degree of temperature change with spatial position in a specified monitoring area. It describes the degree of temperature change between various measuring points in the specified monitoring area and reflects the uniformity and stability of temperature in the specified monitoring area. The temperature distribution gradient in the present application can reflect the temperature change trend and severity at each spatial position (horizontal direction).

[0027] In some embodiments, dividing all temperatures into normal temperature segments and interference temperature segments based on the distribution gradient can be achieved by using the following steps: Pre-training a data anomaly detection model according to the distribution gradient; The data anomaly detection model is used to perform interference anomaly detection on all temperatures to obtain normal temperature segments and interference temperature segments.

[0028] It should be noted that the data anomaly detection model in the present application is a detection model obtained by pre-training with historical temperature data. The data anomaly detection model is used to detect abnormal data in temperature data. In the present application, the data anomaly detection model is based on convolutional neural network training. Other algorithm structures may also be used in other embodiments, which are not limited here.

[0029] In the specific implementation, first, the distribution gradient is introduced into the data anomaly detection model as an initial constraint parameter, which can provide the data anomaly detection model with a priori knowledge of temperature distribution. This prior knowledge can constrain the data anomaly detection model's understanding of temperature data during the detection process, and avoid the data anomaly detection model from mistakenly identifying normal temperature fluctuations as anomalies in the absence of constraints. This constraint makes the data anomaly detection model more accurate in distinguishing normal temperature segments from interference temperature segments; then, all monitored temperatures are used as inputs to the data anomaly detection model, and normal data and abnormal data are output through the data anomaly detection model. The set of output normal data is used as the normal temperature segment, and the set of output abnormal data is used as the interference temperature segment.

[0030] In step 103, the temperature confidence interval of each monitoring area inside the fumigation box is determined according to the normal temperature section, and then the state vector of the temperature of each monitoring area inside the fumigation box is fused and estimated through each temperature confidence interval and the distribution gradient to obtain the temperature response state of each monitoring area.

[0031] In some embodiments, reference Figure 3 As shown, this figure is a schematic diagram of the process of determining the temperature confidence interval in some embodiments of the present application. In this embodiment, the temperature confidence interval of each monitoring area inside the fumigation box is determined according to the normal temperature section, which can be achieved by the following steps: In step 1031, a noise reduction operation is performed on the normal temperature segment to obtain a noise reduction temperature data segment; In step 1032, the noise reduction temperature data of each monitoring area inside the fumigation box is extracted from the noise reduction temperature data segment; In step 1033, the mean and variance of the temperature of the corresponding monitoring area are determined according to the noise reduction temperature data of each monitoring area; In step 1034, based on the normal distribution assumption, the upper and lower bounds of the temperature confidence interval of the corresponding monitoring area are determined by the mean and variance of the temperature of each monitoring area, thereby obtaining the temperature confidence interval of each monitoring area inside the fumigation box.

[0032] In the specific implementation, first, the Kalman filtering technology can be used to perform noise reduction processing on the normal temperature segment, and then the data segment obtained after the noise reduction processing is used as the noise reduction temperature data segment; secondly, the noise reduction temperature data corresponding to each monitoring area inside the fumigation box is intercepted from the noise reduction temperature data segment; then, the average value of all temperature values ​​in the noise reduction temperature data of each monitoring area is used as the mean value of the temperature of the corresponding monitoring area, and all temperature values ​​in the noise reduction temperature data of each monitoring area are substituted into the variance calculation formula to obtain the variance of the temperature of the corresponding monitoring area; finally, assuming that the temperature distribution of each monitoring area conforms to the normal distribution, a confidence level (such as 95%) is selected, and according to the selected confidence level The confidence critical value is obtained. Usually, at a 95% confidence level, the confidence critical value is usually 1.96. Then, the upper and lower bounds of the temperature confidence interval of the corresponding monitoring area are calculated by the confidence critical value, the mean and variance of the temperature of each monitoring area. The upper bound of the temperature confidence interval can be determined by the following formula, namely: the upper bound of the temperature confidence interval = mean + confidence critical value * (variance / half the total number of data), the lower bound of the temperature confidence interval can be determined by the following formula, namely: the lower bound of the temperature confidence interval = mean - confidence critical value * (variance / half the total number of data), and then the interval composed of the lower bound and the upper bound is used as the temperature confidence interval of the corresponding monitoring area.

[0033] In some embodiments, the state vectors of the temperatures of the various monitoring areas in the fumigation box are fused and estimated by using the temperature confidence intervals and the distribution gradients to obtain the temperature response states of the various monitoring areas. The following steps can be used to achieve this: Selecting a monitoring area from each monitoring area inside the fumigation box as a designated monitoring area; Determine the local fusion center of the designated monitoring area according to the temperature confidence interval of the designated monitoring area; Acquire temperature data of each monitoring point in the specified monitoring area, and then determine the vector fusion coefficient of the temperature state of each monitoring point in the specified monitoring area through all the temperature data, the local fusion center and the distribution gradient; The temperature data of all monitoring points in the specified monitoring area are fused through various vector fusion coefficients to obtain the temperature response state of the specified monitoring area, and then the temperature response state of the remaining monitoring areas is determined.

[0034] In specific implementation, determining the local fusion center of the specified monitoring area according to the temperature confidence interval of the specified monitoring area can be implemented in the following manner, namely: obtaining all temperature values ​​from the temperature confidence interval of the specified monitoring area, and taking the average value of all temperature values ​​as the local fusion center of the specified monitoring area; obtaining the temperature data of each monitoring point in the specified monitoring area, and then determining the vector fusion coefficient of the temperature state of each monitoring point in the specified monitoring area through all the temperature data, the local fusion center and the distribution gradient can be implemented in the following manner, namely: first, obtaining the temperature data of each monitoring point from the specified monitoring area, and secondly, subtracting the temperature data of each monitoring point from the local fusion center to obtain the temperature error data of each monitoring point, and then according to the temperature of each monitoring point, the temperature error data of each monitoring point is obtained. The temperature error data of the measuring point is used to calculate the temperature variance of the corresponding monitoring point, and the ratio of the temperature variance of each monitoring point to the sum of all temperature variances is used as the temperature fusion weight of the corresponding monitoring point. Then, the temperature gradient of the designated monitoring area is obtained from the distribution gradient, and the average value of all temperature gradients in the distribution gradient is used as the average temperature gradient. The absolute difference between the temperature gradient of the designated monitoring area and the average temperature gradient is used as the gradient difference of the designated monitoring area. The ratio of the gradient difference of the designated monitoring area to the average temperature gradient is further used as the state vector weight of the designated monitoring area in the horizontal direction. Finally, the product of the temperature fusion weight of each monitoring point and the state vector weight is used as the vector fusion coefficient of the temperature state of the corresponding monitoring point in the designated monitoring area.

[0035] It should be noted that the vector fusion coefficient in the present application is an indicator to measure the contribution of the temperatures of different monitoring points in the temperature estimation of the monitoring area. The larger the vector fusion coefficient, the greater the contribution of the corresponding monitoring point temperature in the temperature estimation of the monitoring area. The smaller the vector fusion coefficient, the smaller the contribution of the corresponding monitoring point temperature in the temperature estimation of the monitoring area.

[0036] In specific implementation, the temperature data of all monitoring points in the specified monitoring area are fused through various vector fusion coefficients, and the temperature response state of the specified monitoring area can be obtained in the following way, that is: the average value of all temperature data of each monitoring point can be used as the monitoring temperature mean of the corresponding monitoring point, and then the monitoring temperature mean of each monitoring point and the vector fusion coefficient of the temperature state of the corresponding monitoring point are weighted averaged to obtain the weighted average temperature of the specified monitoring area, and then the weighted average temperature is used as the temperature response state of the specified monitoring area.

[0037] It should be noted that the temperature response state in this application is a comprehensive state description indicator that describes the temperature in the monitoring area. The temperature response state reflects the overall temperature level in the monitoring area, not just the temperature value of a single point. After removing local noise and anomalies, it provides a more stable and accurate description of the temperature distribution.

[0038] In step 104, the interference characteristics of the fumigant gas in the fumigation box during the cyclic fumigation process are obtained, and then the disturbance margin of the temperature of each monitoring area of ​​the fumigant gas during the cyclic fumigation process is determined according to the interference characteristics and the temperature drift of each monitoring area in the interference temperature section.

[0039] In some embodiments, obtaining the interference characteristics of the fumigation gas in the fumigation box during the cyclic fumigation process can be achieved by using the following steps: Obtaining the patient's body contour information; Based on the body contour information, a finite element simulation is performed on the circulating fumigation process of the fumigation gas in the fumigation box, and a simulation result is output; The interference characteristics of the patient's body contour on the fumigation gas during the circulating fumigation process are extracted from the simulation results.

[0040] In specific implementation, first, the patient's body contour can be scanned in all directions by the 3D scanning technology in the prior art, and the three-dimensional model data obtained by the scan is used as the patient's body contour information; then, the patient's body contour information and the three-dimensional size data inside the fumigation box are used for finite element modeling to obtain a finite element three-dimensional model, and then the working condition data of the fumigation box (for example, temperature, humidity, and circulation mode of the fumigation gas) are used as the input of the finite element simulation to complete the finite element simulation of the fumigation process of the fumigation gas circulation in the fumigation box, and then the finite element simulation results are output; finally, the interference characteristics of the patient's body contour on the fumigation gas in the circulation fumigation process are extracted from the simulation results, and the interference characteristics describe the influence of the external environment on the circulation process of the fumigation gas. In this embodiment, the interference characteristics mainly describe the influence of the patient's body contour on the temperature distribution of the fumigation gas in the circulation fumigation process. In other embodiments, the influence of other factors on the circulation process of the fumigation gas can also be considered, which is not limited here.

[0041] In some embodiments, determining the disturbance margin of the temperature of each monitoring area of ​​the fumigant gas during the cyclic fumigation process by using the interference feature and the temperature drift of each monitoring area in the interference temperature section can be achieved by using the following steps: Acquiring simulated temperature data of each monitoring area inside the fumigation box; Determine all temperature drift amounts of the selected monitoring area according to the simulated temperature data of each monitoring area and the interference temperature data of the selected monitoring area in the interference temperature section, and then obtain all temperature drift amounts of each monitoring area; Determine the temperature tolerance of the corresponding monitoring area based on all temperature drifts of each monitoring area; Obtaining the temperature disturbance amount of each monitoring area from the interference characteristics; The temperature tolerance of the selected monitoring area is compensated by the temperature disturbance amount of the selected monitoring area among the temperature disturbance amounts of each monitoring area, so as to obtain the disturbance margin of the temperature of the selected monitoring area during the circulating fumigation process of the fumigation gas, and then obtain the disturbance margin of the temperature of each monitoring area during the circulating fumigation process of the fumigation gas.

[0042] It should be noted that obtaining the simulated temperature data of each monitoring area inside the fumigation box in the present application refers to obtaining the simulated temperature data of each monitoring area inside the fumigation box from the simulation results in the above embodiment, and the simulated temperature data is the temperature data monitored during the finite element simulation of the circulating fumigation process of the fumigation gas in the fumigation box; it should also be noted that the temperature tolerance in the present application refers to the allowable temperature fluctuation range of each fumigation monitoring area in a specific environment, which indicates the maximum allowable deviation of the temperature that can occur without affecting the system performance.

[0043] In specific implementation, all temperature drifts of the selected monitoring area are determined according to the simulated temperature data of each monitoring area and the interference temperature data of the selected monitoring area in the interference temperature segment, and then all temperature drifts of each monitoring area are obtained. The following method can be used to achieve this, namely: select a monitoring area as the selected monitoring area, obtain the simulated temperature data of the selected monitoring area, take the average value of all simulated temperatures in the simulated temperature data as the simulated temperature mean, and then take the difference between each temperature value in the interference temperature data of the selected monitoring area and the simulated temperature mean as the temperature drift of the selected monitoring area, and then obtain all temperature drifts of the selected monitoring area, and continue to determine all temperature drifts of the remaining monitoring areas; based on all temperature drifts of each monitoring area, the temperature tolerance of the corresponding monitoring area is determined, which can be achieved in the following way, namely: for each monitoring area, the average value and standard deviation of all temperature drifts in the monitoring area can be calculated first, and then the sum of the average value and the standard deviation is taken as the upper bound of the interval, and the sum of the average value and the standard deviation is taken as the upper bound of the interval The difference between the two is taken as the lower limit of the interval, and then the interval formed by the lower limit and the upper limit of the interval is taken as the temperature tolerance of the corresponding monitoring area; the temperature tolerance of the selected monitoring area is compensated by the temperature disturbance amount of the selected monitoring area among the temperature disturbance amounts of each monitoring area, so as to obtain the disturbance margin of the temperature of the selected monitoring area during the cyclic fumigation of the fumigation gas, and then the disturbance margin of the temperature of each monitoring area during the cyclic fumigation of the fumigation gas can be obtained. The following method can be used, namely: one monitoring area is selected from each monitoring area as the selected monitoring area, the temperature disturbance amount of the selected monitoring area is obtained, and then the natural exponential of the opposite number of the temperature disturbance amount is taken as the compensation factor, the temperature disturbance amount is an indicator for measuring the degree of temperature disturbance caused by external disturbance factors, and then the compensation factor can be multiplied by the upper limit and the lower limit of the interval of the temperature tolerance respectively, and then the interval formed by the compensated upper limit and the lower limit of the interval is taken as the disturbance margin of the temperature of the selected monitoring area during the cyclic fumigation of the fumigation gas, and the disturbance margin of the temperature of the remaining monitoring areas is continued to be determined.

[0044] It should be noted that the disturbance margin in this application refers to the ability of the system to maintain stable operation when subject to external interference (such as temperature fluctuations). It represents the interference intensity that the system can tolerate without exceeding functional limitations. The calculation of the disturbance margin can help prevent the system from over-responding to temperature fluctuations and avoid unnecessary adjustments. At the same time, it can ensure that the temperature fluctuations in each monitoring area remain within a safe and controllable range, thereby ensuring the stability and consistency of the fumigation effect.

[0045] In step 105, the thermal compensation amount of the selected monitoring area is determined according to the temperature response state and disturbance margin of the selected monitoring area among the various monitoring areas, and then the thermal compensation amount of each monitoring area is obtained, and the power of the heater corresponding to the monitoring area inside the fumigation box is adjusted according to each thermal compensation amount.

[0046] In some embodiments, the thermal compensation amount of the selected monitoring area is determined according to the temperature response state and the disturbance margin of the selected monitoring area among the monitoring areas, and the thermal compensation amount of each monitoring area is obtained by the following steps: Obtain the target temperature of each monitoring area; Selecting one monitoring area from each monitoring area as a selected monitoring area; determining a temperature deviation based on a temperature response state of the selected monitoring area and a target temperature of the selected monitoring area; The temperature deviation is state compensated by the disturbance margin of the selected monitoring area to obtain the thermal compensation amount of the selected monitoring area, and the thermal compensation amount of the remaining monitoring areas is further determined.

[0047] It should be noted that the target temperature in the present application refers to the theoretical temperature of the monitoring area inside the fumigation box, and the target temperature of the monitoring area can be obtained by theoretical calculation or by referring to the fumigation machine operation manual; in addition, it should be noted that the thermal compensation amount in the present application is an indicator to measure the degree of deviation between the actual temperature and the target temperature in each monitoring area. The larger the thermal compensation amount, the greater the degree of deviation between the actual temperature and the target temperature in the corresponding monitoring area, and the smaller the thermal compensation amount, the smaller the degree of deviation between the actual temperature and the target temperature in the corresponding monitoring area.

[0048] In the specific implementation, first, a monitoring area is selected from each monitoring area as the selected monitoring area; secondly, the temperature feature of the selected monitoring area is obtained from the temperature response state of the selected monitoring area, the temperature feature refers to the descriptive feature of the temperature response state, usually the fusion temperature of the monitoring area, and the difference between the temperature feature and the target temperature is used as the temperature deviation; then, the temperature deviation is judged, when the temperature deviation is greater than the upper limit of the interval of the disturbance margin, the temperature deviation should be cold compensated (that is, the temperature deviation value is reduced), that is, the difference between the temperature deviation and the upper limit of the interval of the disturbance margin is used as the thermal compensation amount of the selected monitoring area, and the thermal compensation amount at this time is a negative number, when the temperature deviation is less than the lower limit of the interval of the disturbance margin, the temperature deviation should be thermally compensated (that is, the temperature deviation value is increased), that is, the difference between the temperature deviation and the lower limit of the interval of the disturbance margin is used as the thermal compensation amount of the selected monitoring area, and the thermal compensation amount at this time is a positive number, and when the temperature deviation is in the interval of the disturbance margin, the thermal compensation amount of the selected monitoring area is 0; finally, repeat the above steps to continue to determine the thermal compensation amount of the remaining monitoring areas inside the fumigation box.

[0049] It should be noted that in the present application, adjusting the power of the heater of the corresponding monitoring area inside the fumigation box according to each thermal compensation amount means adjusting the power of the heater of each monitoring area in the postpartum fumigation conditioning device for obstetrics and gynecology according to each thermal compensation amount, thereby achieving balanced regulation of the temperature of the monitoring area inside the fumigation box. In specific implementation, the power of the heater can be adjusted according to the size of the thermal compensation amount, that is, for each monitoring area, when the thermal compensation amount of the monitoring area is a negative number, the power of the heater of the corresponding monitoring area is reduced; when the thermal compensation amount of the monitoring area is a positive number, the power of the heater of the corresponding monitoring area is increased; when the thermal compensation amount of the monitoring area is 0, the power of the heater of the corresponding monitoring area is maintained.

[0050] It should also be noted that the present application determines the thermal compensation amount for each monitoring area based on the temperature response state and the disturbance margin, and evenly adjusts the heater power to achieve precise temperature control inside the fumigation box. This solution can ensure that the temperature inside the fumigation box is more uniform, avoiding local overheating or overcooling, making the effect of fumigation therapy more balanced and efficient, thereby improving the patient's rehabilitation effect.

[0051] On the other hand, in some embodiments, the present application provides a postpartum fumigation conditioning device for obstetrics and gynecology, the postpartum fumigation conditioning device for obstetrics and gynecology includes a fumigation box, the fumigation box is divided into a plurality of monitoring areas, each monitoring area is provided with a corresponding heater, the postpartum fumigation conditioning device for obstetrics and gynecology also includes a heating power adjustment unit, reference Figure 4 , which is a schematic diagram of an exemplary software module of a heating power adjustment unit according to some embodiments of the present application, the heating power adjustment unit 400 includes: a monitoring module 401, a processing module 402 and an execution module 403, which are described as follows: Monitoring module 401, in this application, monitoring module 401 is mainly used to monitor the temperature of each monitoring area inside the fumigation box in the postpartum fumigation conditioning device for obstetrics and gynecology; Processing module 402, in the present application, the processing module 402 is used to determine the distribution gradient of the temperature in the horizontal direction inside the fumigation box, and then divide all temperatures into a normal temperature section and an interference temperature section based on the distribution gradient; The processing module 402 in the present application is also used to determine the temperature confidence interval of each monitoring area inside the fumigation box according to the normal temperature section, and then to fuse and estimate the state vector of the temperature of each monitoring area inside the fumigation box through each temperature confidence interval and the distribution gradient, so as to obtain the temperature response state of each monitoring area; The processing module 402 in the present application is also used to obtain the interference characteristics of the fumigation gas in the fumigation box during the cyclic fumigation process, and then determine the disturbance margin of the temperature of each monitoring area of ​​the fumigation gas during the cyclic fumigation process through the interference characteristics and the temperature drift of each monitoring area in the interference temperature section; Execution module 403, in the present application, execution module 403 is mainly used to determine the thermal compensation amount of the selected monitoring area according to the temperature response state and disturbance margin of the selected monitoring area among the various monitoring areas, and then obtain the thermal compensation amount of each monitoring area, and adjust the power of the heater of the corresponding monitoring area inside the fumigation box according to each thermal compensation amount.

[0052] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned heating power adjustment method.

[0053] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a heating power adjustment method according to some embodiments of the present application. The heating power adjustment method in the above embodiment can be Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0054] The processor 501 may be a general-purpose central processing unit (CPU) or an application specific integrated circuit (ASIC).

[0055] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0056] The memory 503 may be a read only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read only memory (EEPROM), a compact disc read only memory (CD ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0057] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The heating power adjustment method in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0058] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0059] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0060] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0061] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned heating power adjustment method is implemented.

[0062] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A heating power adjustment method for adjusting the power of a heater in a postpartum fumigation conditioning device for obstetrics and gynecology, characterized in that: The method includes: Monitor the temperature of each monitoring area inside the fumigation box in the postpartum fumigation conditioning device for obstetrics and gynecology; Determine the distribution gradient of the temperature in the horizontal direction inside the fumigation box, and then divide all temperatures into a normal temperature section and an interference temperature section based on the distribution gradient; Determine the temperature confidence interval of each monitoring area inside the fumigation box according to the normal temperature section, and then estimate the state vector of the temperature of each monitoring area inside the fumigation box by fusing each temperature confidence interval and the distribution gradient to obtain the temperature response state of each monitoring area; Obtaining interference characteristics of the fumigation gas in the fumigation box during the cyclic fumigation process, and then determining the disturbance margin of the temperature of each monitoring area in the cyclic fumigation process of the fumigation gas according to the interference characteristics and the temperature drift of each monitoring area in the interference temperature section; The thermal compensation amount of the selected monitoring area is determined according to the temperature response state and disturbance margin of the selected monitoring area among the monitoring areas, and then the thermal compensation amount of each monitoring area is obtained, and the power of the heater corresponding to the monitoring area inside the fumigation box is adjusted according to each thermal compensation amount.

2. The method according to claim 1, characterized in that Determining the distribution gradient of the horizontal temperature inside the fumigation box specifically includes: Acquiring temperature data of each monitoring area inside the fumigation box; Determine the temperature gradient in the horizontal direction in the corresponding monitoring area according to the temperature data of each monitoring area; The distribution gradient of the temperature in the horizontal direction inside the fumigation box is determined according to all the temperature gradients.

3. The method according to claim 1, characterized in that Based on the distribution gradient, all temperatures are divided into a normal temperature section and an interference temperature section, specifically including: Pre-training a data anomaly detection model according to the distribution gradient; The data anomaly detection model is used to perform interference anomaly detection on all temperatures to obtain normal temperature segments and interference temperature segments.

4. The method according to claim 1, characterized in that Determining the temperature confidence interval of each monitoring area inside the fumigation box according to the normal temperature section specifically includes: Performing a noise reduction operation on the normal temperature segment to obtain a noise reduction temperature data segment; Extracting the noise reduction temperature data of each monitoring area inside the fumigation box from the noise reduction temperature data segment; Determine the mean and variance of the temperature of the corresponding monitoring area according to the noise reduction temperature data of each monitoring area; Based on the normal distribution assumption, the upper and lower bounds of the temperature confidence interval of each monitoring area are determined by the mean and variance of the temperature of each monitoring area, and then the temperature confidence interval of each monitoring area inside the fumigation box is obtained.

5. The method according to claim 1, characterized in that The state vectors of the temperatures of the various monitoring areas in the fumigation box are fused and estimated by using the temperature confidence intervals and the distribution gradients to obtain the temperature response states of the various monitoring areas, specifically including: Selecting a monitoring area from each monitoring area inside the fumigation box as a designated monitoring area; Determine the local fusion center of the designated monitoring area according to the temperature confidence interval of the designated monitoring area; Acquire temperature data of each monitoring point in the specified monitoring area, and then determine the vector fusion coefficient of the temperature state of each monitoring point in the specified monitoring area through all the temperature data, the local fusion center and the distribution gradient; The temperature data of all monitoring points in the specified monitoring area are fused through various vector fusion coefficients to obtain the temperature response state of the specified monitoring area, and then the temperature response state of the remaining monitoring areas is determined.

6. The method according to claim 1, characterized in that Obtaining the interference characteristics of the fumigation gas in the fumigation box during the cyclic fumigation process specifically includes: Obtaining the patient's body contour information; Based on the body contour information, a finite element simulation is performed on the circulating fumigation process of the fumigation gas in the fumigation box, and a simulation result is output; The interference characteristics of the patient's body contour on the fumigation gas during the circulating fumigation process are extracted from the simulation results.

7. The method according to claim 1, characterized in that The thermal compensation amount of the selected monitoring area is determined according to the temperature response state and disturbance margin of the selected monitoring area in each monitoring area, and then the thermal compensation amount of each monitoring area is obtained, which specifically includes: Obtain the target temperature of each monitoring area; Selecting one monitoring area from each monitoring area as a selected monitoring area; determining a temperature deviation based on a temperature response state of the selected monitoring area and a target temperature of the selected monitoring area; The temperature deviation is state compensated by the disturbance margin of the selected monitoring area to obtain the thermal compensation amount of the selected monitoring area, and the thermal compensation amount of the remaining monitoring areas is further determined.

8. A postpartum fumigation conditioning device for obstetrics and gynecology, comprising a fumigation box, characterized in that: The fumigation box is divided into a plurality of monitoring areas, each monitoring area is provided with a corresponding heater, and the postpartum fumigation conditioning device for obstetrics and gynecology also includes a heating power adjustment unit, and the heating power adjustment unit includes: A monitoring module, used to monitor the temperature of each monitoring area inside the fumigation box in the postpartum fumigation conditioning device for obstetrics and gynecology; A processing module, used to determine the distribution gradient of the temperature in the horizontal direction inside the fumigation box, and then divide all temperatures into a normal temperature section and an interference temperature section based on the distribution gradient; The processing module is further used to determine the temperature confidence interval of each monitoring area inside the fumigation box according to the normal temperature section, and then to fuse and estimate the state vector of the temperature of each monitoring area inside the fumigation box through each temperature confidence interval and the distribution gradient, so as to obtain the temperature response state of each monitoring area; The processing module is further used to obtain the interference characteristics of the fumigant gas in the fumigation box during the cyclic fumigation process, and then determine the disturbance margin of the temperature of each monitoring area in the cyclic fumigation process of the fumigant gas through the interference characteristics and the temperature drift of each monitoring area in the interference temperature section; The execution module is used to determine the thermal compensation amount of the selected monitoring area according to the temperature response state and disturbance margin of the selected monitoring area among the various monitoring areas, thereby obtaining the thermal compensation amount of each monitoring area, and adjusting the power of the heater of the corresponding monitoring area inside the fumigation box according to each thermal compensation amount.

9. A computer device, comprising a memory and a processor, wherein the memory stores a code, characterized in that: The processor is configured to obtain the code and execute the heating power adjustment method 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 a processor, the heating power adjustment method according to any one of claims 1 to 7 is implemented.

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