A multi-modal synergistic body temperature management method and system

Abstract

The application provides a multimodal synergistic body temperature management method and system, and relates to the field of automatic control technology. The system integrates body temperature monitoring, heat conduction, liquid warming and air convection modules, and realizes synergistic control through a central controller. The core is that the core body temperature of the patient is collected in real time, an incremental PID algorithm is used to calculate the power of each warming terminal, and each module is started according to the preset priority according to the body temperature deviation. The system can also automatically match the working mode according to the patient information and the application scene. The application effectively solves the problems of poor effect and low control precision of the existing single insulation method, realizes the precise, safe and personalized management of the body temperature during the perioperative period through multimodal synergy and closed-loop feedback.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, specifically to a multimodal collaborative body temperature management method and system. Background Technology

[0002] With the continuous development of medical technology, perioperative body temperature management is becoming increasingly important in surgical treatment. During major surgeries, due to the widespread use of central air conditioning in operating rooms and the inhibitory effect of anesthetic drugs on patients' thermoregulation ability, patients are highly susceptible to hypothermia. Clinical manifestations include chills, increased oxygen consumption, and prolonged postoperative recovery. In severe cases, it may even lead to complications in organs such as the heart, directly affecting the success rate of surgery and patient prognosis.

[0003] Currently, clinical methods for managing body temperature are mainly divided into two categories: passive warming and active warming. Passive warming methods include operating room temperature control and covering exposed areas with fabric, but their effectiveness is limited and they are only suitable for patients undergoing short surgeries with a low preoperative assessment of hypothermia risk. Active warming methods include intravenous infusion warming and inflatable warming blankets. Although they are more widely used, they still have limitations in protective effect and require different settings depending on the composition of the infusion fluid and the warming temperature.

[0004] Existing heating devices and warming blankets have significant technical shortcomings. On one hand, these devices typically use fixed-power heating or simple adjustments based on monitoring the temperature of the device's working components, rather than directly monitoring the actual temperature of the heated liquid. This results in a large discrepancy between the monitored temperature and the actual temperature of the liquid applied to the body, failing to accurately reflect and adapt to the body's actual heat needs. This can easily lead to overheating or underheating, affecting patient comfort and safety. On the other hand, existing warming blankets usually consist of a main unit and working components. The working components include a heating pad placed on the operating table and a heating blanket covering the patient's body. However, this structure makes it difficult to fully consider individual differences, such as significant variations in metabolic rates and temperature perception among different patients, hindering personalized and precise temperature control.

[0005] Furthermore, existing temperature management systems generally lack intelligent control capabilities and cannot dynamically adjust based on real-time temperature feedback, resulting in insufficient accuracy and timeliness in temperature management. At the same time, existing systems typically lack multimodal collaborative capabilities, failing to effectively integrate the advantages of different temperature management methods and making it difficult to achieve accurate, efficient, and safe temperature maintenance for individual patient differences in complex surgical environments. Summary of the Invention

[0006] The purpose of this invention is to provide a multimodal collaborative body temperature management method and system, which realizes an intelligent dynamic regulation multimodal collaborative body temperature management system and control method to solve the technical problems existing in the prior art, such as the limitations of single heat preservation measures, unclear weight of influencing factors, and lack of intelligent control, thereby effectively preventing overheating or underheating and improving the accuracy and safety of perioperative body temperature management.

[0007] To achieve the above objectives, the present invention provides the following technical solution: A multimodal collaborative body temperature management method includes: S1: Collects the patient's body temperature data in real time through the body temperature monitoring module; S2: Based on the deviation between the body temperature data and the target body temperature, the output power of each heating terminal is calculated by the central controller using incremental PID control. S3: Based on the comparison results between the body temperature data and the preset threshold, multiple liquid warming modules are activated in a preset priority order to provide coordinated warming for the patient; S4: Continuously monitor the changes in body temperature after heating, and dynamically adjust the output power of each heating terminal according to the new deviations to form a closed-loop feedback control until the body temperature stabilizes within the target range.

[0008] Furthermore: the formula for calculating the control increment in the incremental PID control method is as follows:

[0009] in, For the first k Secondary control increment. For the first k Secondary temperature deviation For the first k-1 Secondary temperature deviation For the first k-2 Secondary temperature deviation This is the proportionality coefficient. The integral coefficient is... is the differential coefficient.

[0010] Further: In step S3, multiple heating modules are activated in a tiered manner according to a preset priority order, including: When the body temperature data is lower than the first preset threshold, the heat conduction module is activated first to perform basic heating; If the body temperature data is still lower than the target body temperature after the heating has stabilized, the liquid heating module is activated for auxiliary heating. At the same time, the air convection module is activated to regulate the temperature of the heating blanket covering the patient's body, maintaining a stable body temperature environment.

[0011] Furthermore, the multimodal collaborative body temperature management method also includes: Obtaining patients' personal information; Based on the personal information and the current application scenario, a corresponding working mode and a target body temperature parameter under that working mode are matched; wherein, the working mode includes surgical mode, resuscitation mode and temperature preservation mode.

[0012] Furthermore, obtaining the patient's personal information includes: obtaining the patient's gender and age information by scanning a QR code; the target body temperature parameter is automatically matched according to the patient's gender and age information, and supports manual fine-tuning.

[0013] Furthermore: the body temperature data includes the patient's core body temperature, and there is a preset correspondence between the core body temperature and the target temperature of the heating terminal; when the core body temperature is close to the target body temperature, the output power is reduced according to the incremental PID control method to achieve fine and stable control.

[0014] The present invention also provides a multimodal collaborative body temperature management system, including: a body temperature monitoring module for real-time collection of the patient's body temperature data; The heat conduction module, including the main heating blanket and the foot heating blanket, is used to provide contact heating to the patient; The liquid heating module is used to heat the liquids injected into the patient's body; An air convection module is used to regulate the temperature of the heated blanket covering the patient's body; The central controller is connected to the body temperature monitoring module, heat conduction module, liquid heating module and air convection module respectively. It is used to calculate the output power of each heating terminal according to the body temperature data using incremental PID control, and to control each heating module to work together in a hierarchical manner according to a preset priority order.

[0015] Furthermore, the body temperature monitoring module includes multiple temperature sensors respectively arranged on different parts of the patient's body for collecting the patient's core temperature, tympanic membrane temperature and axillary temperature; the body temperature monitoring module also includes a wireless communication unit for transmitting the collected temperature data to the central controller.

[0016] Furthermore, the liquid heating module includes an infusion pressurization device and an infusion heating device, which are respectively connected to different infusion lines for heating liquids with different flow rates; the liquid heating module also includes a liquid temperature sensor for monitoring the temperature of the output liquid.

[0017] Furthermore: the multimodal collaborative body temperature management system also includes a mode switching module, the mode switching module comprising: The mode selection unit is used to select the corresponding working mode according to the application scenario. Storage unit for storing patient-specific parameters; The central controller determines the target temperature parameters for each heating module based on the selected operating mode and the personalized parameters.

[0018] Compared with the prior art, the present invention has the following advantages: I. This invention uses incremental PID control to calculate the output power of each heating terminal and forms a closed-loop feedback control by continuously monitoring body temperature changes. This overcomes the shortcomings of fixed power heating or simple adjustment based on the temperature of the working parts of the equipment in the prior art. It can dynamically adjust the output power according to the real-time deviation between the patient's body temperature and the target body temperature, realizing the precision and intelligence of body temperature management, effectively avoiding the problems of overheating or insufficient heating, and improving the patient's comfort and safety.

[0019] Second, this invention activates the heat conduction module, liquid heating module, and air convection module in a pre-set priority order to provide coordinated heating, thereby achieving the organic integration of multiple body temperature management methods. This overcomes the limitations of single heat preservation measures in existing technologies. Each module intervenes and coordinates according to body temperature feedback, ensuring heating efficiency, avoiding resource waste, and improving the overall effectiveness of perioperative body temperature management.

[0020] Third, by acquiring patients' personal information and matching corresponding working modes and target temperature parameters according to the application scenario, this invention achieves personalized body temperature control, overcoming the problem that existing technologies are difficult to adapt to the differences in metabolic rate and temperature sensitivity of different patients. This enables body temperature management to be flexibly adjusted for different scenarios such as surgery, resuscitation, and warming, enhancing the system's adaptability and practicality. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating a multimodal collaborative body temperature management method of the present invention. Figure 2 This is a schematic diagram of the framework of a multimodal collaborative body temperature management system according to the present invention. Detailed Implementation

[0022] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] This invention provides a multimodal collaborative body temperature management system, referring to... Figure 2As shown, the system includes a body temperature monitoring module, a heat conduction module, a liquid heating module, an air convection module, and a central controller. Each module is connected to the central controller via wired or wireless means to achieve data transmission and command reception, thereby working collaboratively under the unified scheduling of the central controller to perform precise body temperature management for patients.

[0024] The body temperature monitoring module is used to collect patients' body temperature data in real time. It includes multiple temperature sensors placed on different parts of the patient's body to collect temperature information from various sites, such as core temperature, tympanic membrane temperature, and axillary temperature. Core temperature can be measured using a bladder or nasopharyngeal temperature probe, with a monitoring range of 25°C to 45°C. The normal human core temperature range is 36.5°C to 37.5°C. The temperature monitoring module also includes a wireless communication unit, such as a Bluetooth communication module, for wirelessly transmitting the collected temperature data to the central controller. The transmission distance can reach up to 10 meters, facilitating flexible deployment in clinical environments.

[0025] The heat conduction module includes a main heating blanket and a foot heating blanket for contact-based warming of the patient. The main heating blanket is placed on the operating table under the patient's torso; the foot heating blanket is specifically designed to warm the patient's feet, as the extremities are the primary sites of heat loss. Both the main heating blanket and the foot heating blanket are made of flexible material with evenly distributed heating elements on their surfaces. Each blanket is equipped with an independent temperature sensor connected to a body temperature monitoring module for real-time monitoring of the heating temperature in each area. The target temperature setting range for the heat conduction module is 33°C to 43°C, and the maximum output power is 200W.

[0026] The liquid heating module is used to warm the fluids administered to the patient and includes an infusion pressurization device and an infusion heating device. The pressurization and heating devices are connected to different infusion lines to heat fluids at different flow rates. The module also includes a liquid temperature sensor to monitor the actual temperature of the output fluid. Based on this temperature feedback, the system dynamically adjusts the heating power using PID control to ensure the output fluid temperature matches the preset temperature. The fluid flow rate is controlled by medical staff according to clinical needs.

[0027] The air convection module, which regulates the temperature of the heating blanket covering the patient's body, includes a circulating fan and a temperature-controlled valve. The circulating fan drives the airflow, and the temperature-controlled valve regulates the supply air temperature. The air convection module also includes a filter to remove impurities from the air, protect the circulating fan, and ensure clean air supply. Heating via air convection creates a uniform layer of warm air on the patient's surface, assisting the heat conduction module and the liquid heating module in maintaining a stable body temperature environment.

[0028] The central controller, connected to the body temperature monitoring module, heat conduction module, liquid heating module, and air convection module, is the core of the entire system. It incorporates a built-in control algorithm that uses incremental PID control to calculate the output power of each heating terminal based on body temperature data, and controls the heating modules to work collaboratively according to a preset priority order. The central controller also has multiple module connectors for connecting the various functional modules and a control panel for manual operation and parameter adjustment by medical personnel.

[0029] The incremental PID control method used in this invention is an algorithm for calculating the increment of the control quantity, used to execute the aforementioned multimodal collaborative body temperature management system, as described above. Figure 1 As shown, it calculates the difference between the current output and the previous output. The formula for calculating the control increment in incremental PID control is:

[0030] in For the first k Secondary control increment. For the first k Secondary temperature deviation For the i-th temperature deviation, For the first k-2 Secondary temperature deviation This is the proportionality coefficient. The integral coefficient is... For the differential coefficients. Compared with the positional algorithm, the incremental algorithm has advantages such as lower computational cost, no need to accumulate all historical errors, effective avoidance of integral saturation problem, and smaller impact when the system fails. Therefore, it is more common in practical applications.

[0031] The control method of this invention forms a closed-loop control through three stages: perception, decision-making, and execution. Specifically, it includes the following steps: S1: Collects the patient's body temperature data in real time through the body temperature monitoring module.

[0032] Specifically, during the sensing phase, the system continuously measures the patient's core body temperature through a body temperature monitoring module. The central controller reads in real time the deviation between the current temperature of the heating blanket and the set target temperature, as well as the rate of change of the deviation. There is a preset correspondence between the target temperature of the heating blanket and the core body temperature, which can be adjusted based on clinical experience. For example, when the core body temperature is 35.5℃, the corresponding target temperature of the heating blanket is 39℃; when the core body temperature is 36℃, the corresponding target temperature of the heating blanket is 38℃; and when the core body temperature is 36.5℃, the corresponding target temperature of the heating blanket is 37.5℃.

[0033] S2: Based on the deviation between the body temperature data and the target body temperature, the output power of each heating terminal is calculated by the central controller using incremental PID control.

[0034] Specifically, in the decision-making output phase, the system uses temperature error and error change rate as inputs and calculates the control increment based on preset PID parameters. In the execution phase, the system precisely controls the driver's output power based on the calculation results. When the core body temperature deviates significantly from the target body temperature, the system outputs higher power for rapid heating; as the core body temperature gradually approaches the target value, the output power decreases accordingly based on the calculated control increment, achieving refined and stable control and avoiding temperature overshoot. The system continuously monitors body temperature changes after the control action and readjusts the output based on new errors and error change rates, forming a closed-loop feedback system to continuously optimize the control effect until the body temperature stabilizes near the target value.

[0035] S3: Based on the comparison results between the body temperature data and the preset threshold, multiple liquid warming modules are activated in a preset priority order to provide coordinated warming for the patient.

[0036] Specifically, when the patient's core body temperature is detected to be below a first preset threshold, the system automatically activates the heating mode. It prioritizes the heat conduction module for basic heating, activating the main heating blanket and foot blanket. The initial maximum heating power is set to 200W, and the system dynamically adjusts the power based on temperature feedback until the temperature stabilizes at the preset value. If the patient's core body temperature still hasn't reached the target temperature after the heat conduction module has stabilized, the system gradually activates the liquid heating module for auxiliary heating. This further raises the body temperature by heating the fluids introduced into the patient's body. Liquid heating also references a preset temperature value; the system measures the liquid output temperature and uses a PID controller to dynamically adjust the power to match the preset temperature. Simultaneously, the air convection module activates, regulating the temperature of the heating blanket to help maintain a stable body temperature environment.

[0037] S4: Continuously monitor the changes in body temperature after heating, and dynamically adjust the output power of each heating terminal according to the new deviations to form a closed-loop feedback control until the body temperature stabilizes within the target range.

[0038] Specifically, once the patient's core body temperature rises to the target range and stabilizes, the system can shut down the heating function of the heat conduction module, maintaining the body temperature solely through the liquid heating module and the air convection module. When the body temperature falls below the preset threshold again, the system will restart the heat conduction module for heating. This tiered start-up strategy ensures heating efficiency while avoiding energy waste and potential overheating risks caused by all heating modules operating at full power simultaneously.

[0039] The system of this invention also includes a mode switching module for selecting the corresponding working mode according to the application scenario. The mode switching module includes a mode selection unit and a storage unit. The mode selection unit allows medical staff to select the working mode on the system screen, and the storage unit stores the patient's personalized parameters. The system supports three working modes: surgical mode, resuscitation mode, and temperature maintenance mode, corresponding to the temperature management needs in different application scenarios such as during surgery, in the anesthesia recovery room, and in general wards.

[0040] Patient personal information can be obtained by scanning a QR code. After reading the patient's basic information such as gender and age, the system automatically matches the target temperature parameters required for the patient in different working modes. For example, elderly patients or patients with weaker constitutions may need to have a higher target temperature set to compensate for their lower basal metabolic rate. The target temperature in each mode can also be manually fine-tuned by medical staff through the input box on the screen, so as to make personalized adjustments according to the patient's actual clinical condition.

[0041] In one specific embodiment, the central controller employs an industrial-grade embedded computer with a main frequency of 1.8 GHz, 4 GB of memory, and 128 GB of system storage, integrating a multi-channel serial communication module and an Ethernet interface. The data transmission rate between the central controller and each functional module is 115200 bps. The main heating blanket and foot heating blanket in the heat conduction module are made of polyimide fiber with a thickness of 0.5 mm, and the surface is covered with uniformly distributed carbon fiber heating elements with a spacing of 5 mm. The temperature sensor uses a type K thermocouple with a temperature measurement range of 0℃ to 100℃ and an accuracy class of ±0.1℃.

[0042] The circulating fan in the air convection module adopts a centrifugal structure with a rated power of 120W, a maximum air volume of 10 cubic meters per hour, and an air pressure of 30Pa. The temperature control valve is an electric regulating valve with a control accuracy of ±0.1℃. The filter uses HEPA high-efficiency filter material with a filtration accuracy of 0.3μm.

[0043] The liquid heating module employs a plunger-type liquid pressurization pump with a maximum pressurization of 0.5 MPa. The liquid heating device uses a tube bundle heater with a maximum heating temperature of 60℃. The liquid temperature sensor is a platinum resistance thermometer with a temperature measurement range of 0℃ to 100℃ and an accuracy class of ±0.1℃.

[0044] The core temperature probe in the body temperature monitoring module uses an NTC thermistor temperature sensor, with a temperature measurement range of 25℃ to 45℃ and an accuracy of ±0.1℃. The tympanic membrane temperature probe and the axillary temperature probe also use NTC thermistor temperature sensors, with a temperature measurement range of 10℃ to 45℃ and an accuracy of ±0.1℃. The wireless communication unit uses the Bluetooth 4.2 protocol, with a transmission distance of 10 meters.

[0045] The central controller's built-in control algorithm employs a PID control law based on temperature deviation, with a control cycle of 0.1 seconds and PID parameters set to... = 10 ， = 2 ， = 1. The system is equipped with a digital control panel for manual adjustment of the power and temperature of each heating terminal, with a power adjustment accuracy of 1W and a temperature adjustment accuracy of 0.1℃. The mode switching module's storage unit uses an industrial-grade solid-state drive with a storage capacity of 128GB, capable of storing 1000 patient-specific parameter records.

[0046] In actual use, when the patient's core body temperature is detected to be below 35.5℃, the system automatically activates the heating mode. The system first prioritizes the heating functions of the main heating blanket and foot blanket, with an initial maximum heating power setting of 200W. Based on the temperature feedback, the system dynamically adjusts the power using an incremental PID algorithm until the heating blanket temperature stabilizes at the preset value of 38℃. Once the patient's core body temperature rises to 37.5℃ and stabilizes, the system shuts off the heating functions of the main heating blanket and foot blanket, and activates the infusion heating device to maintain the body temperature. If the body temperature falls below 35.5℃ again, the system will restart the main heating blanket and foot blanket to raise the body temperature. The air convection module automatically adjusts the outlet air temperature according to the current core body temperature, maintaining the patient's body temperature between 36℃ and 38℃.

[0047] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They should not be construed as limiting the scope of protection of the present invention. All equivalent transformations or modifications made in accordance with the spirit and essence of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A multimodal collaborative body temperature management method, characterized in that, include: S1: Collects the patient's body temperature data in real time through the body temperature monitoring module; S2: Based on the deviation between the body temperature data and the target body temperature, the output power of each heating terminal is calculated by the central controller using incremental PID control. S3: Based on the comparison results between the body temperature data and the preset threshold, multiple liquid warming modules are activated in a preset priority order to provide coordinated warming for the patient; S4: Continuously monitor the changes in body temperature after heating, and dynamically adjust the output power of each heating terminal according to the new deviations to form a closed-loop feedback control until the body temperature stabilizes within the target range.

2. The multimodal collaborative body temperature management method according to claim 1, characterized in that, The formula for calculating the control increment in the incremental PID control method is as follows: ； in, For the first k Secondary control increment. For the first k Secondary temperature deviation For the first k-1 Secondary temperature deviation For the first k-2 Secondary temperature deviation This is the proportionality coefficient. The integral coefficient is... is the differential coefficient.

3. The multimodal collaborative body temperature management method according to claim 1, characterized in that, In step S3, multiple heating modules are activated in a tiered manner according to a preset priority order, including: When the body temperature data is lower than the first preset threshold, the heat conduction module is activated first to perform basic heating; If the body temperature data is still lower than the target body temperature after the heating has stabilized, the liquid heating module is activated for auxiliary heating. At the same time, the air convection module is activated to regulate the temperature of the heating blanket covering the patient's body, maintaining a stable body temperature environment.

4. The multimodal collaborative body temperature management method according to claim 1, characterized in that, Also includes: Obtaining patients' personal information; Based on the personal information and the current application scenario, a corresponding working mode and a target body temperature parameter under that working mode are matched; wherein, the working mode includes surgical mode, resuscitation mode and temperature preservation mode.

5. The multimodal collaborative body temperature management method according to claim 4, characterized in that, The acquisition of the patient's personal information includes: obtaining the patient's gender and age information by scanning a QR code; the target body temperature parameter is automatically matched according to the patient's gender and age information, and supports manual fine-tuning.

6. The multimodal collaborative body temperature management method according to claim 1, characterized in that, The body temperature data includes the patient's core body temperature, and there is a preset correspondence between the core body temperature and the target temperature of the heating terminal; when the core body temperature is close to the target body temperature, the output power is reduced according to the incremental PID control method to achieve fine and stable control.

7. A multimodal collaborative body temperature management system, characterized in that, include: The body temperature monitoring module is used to collect patients' body temperature data in real time; The heat conduction module, including the main heating blanket and the foot heating blanket, is used to provide contact heating to the patient; The liquid heating module is used to heat the liquids injected into the patient's body; An air convection module is used to regulate the temperature of the heated blanket covering the patient's body; The central controller is connected to the body temperature monitoring module, heat conduction module, liquid heating module and air convection module respectively. It is used to calculate the output power of each heating terminal according to the body temperature data using incremental PID control, and to control each heating module to work together in a hierarchical manner according to a preset priority order.

8. The multimodal collaborative body temperature management system according to claim 7, characterized in that, The body temperature monitoring module includes multiple temperature sensors arranged on different parts of the patient's body to collect the patient's core temperature, tympanic membrane temperature, and axillary temperature; the body temperature monitoring module also includes a wireless communication unit for transmitting the collected temperature data to the central controller.

9. The multimodal collaborative body temperature management system according to claim 7, characterized in that, The liquid heating module includes an infusion pressurization device and an infusion heating device, which are respectively connected to different infusion pipelines for heating liquids with different flow rates; the liquid heating module also includes a liquid temperature sensor for monitoring the temperature of the output liquid.

10. The multimodal collaborative body temperature management system according to claim 7, characterized in that, It also includes a mode switching module, which includes: The mode selection unit is used to select the corresponding working mode according to the application scenario. Storage unit for storing the patient's personalized parameters; The central controller determines the target temperature parameters for each heating module based on the selected operating mode and the personalized parameters.

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