Integrated multi-channel medical warming blanket infusion warming tube control method and system

Abstract

The present application relates to the technical field of heating tube control, and specifically discloses a kind of integrated multi-channel medical heating blanket infusion heating tube control method and system, comprising the following steps: step S1: through historical data, the collaborative relationship of heating blanket and infusion heating tube is established, and the influence of both on patient temperature is quantified;Step S2: generate normal body temperature change curve and calculate standard change rate, provide reference for real-time adjustment;Step S3: according to the collaborative relationship and the standard change rate, the temperature of heating blanket and infusion heating tube is adjusted in real time, to ensure that patient temperature reaches target value smoothly and safely;The present application can meet the needs of multiple places at the same time for multi-channel heating components, greatly reduce the cost of equipment, and through data driving and dynamic adjustment, precise and efficient body temperature regulation is realized.

Description

Technical Field

[0001] This invention relates to the field of heating tube control technology, specifically to a method and system for controlling the heating tube of an integrated multi-channel medical heating blanket infusion. Background Technology

[0002] The medical heating blanket consists of a main unit and heating accessories. The heating blanket is used to raise and keep the body warm for surgical or non-surgical patients, so as to help regulate the body temperature. The infusion heating tube is used to raise and keep the body warm for the fluids (blood, medicine, nutrition solution and dialysis fluid) entering the body.

[0003] Currently, most products on the market are single-function medical heating blankets or medical infusion warming tubes, with only one heating blanket or one infusion warming tube. Their functions are relatively limited, resulting in the need for multiple devices (medical heating blankets and medical infusion warming tubes) in the operating room to meet the requirements of medical surgery. Furthermore, current products on the market cannot automatically adjust the heating strategy according to the ambient temperature, user needs, or temperature changes of the heated object to maintain the temperature within a stable and suitable range, and have not achieved automatic intelligent closed-loop temperature control.

[0004] Furthermore, existing medical heating blanket devices or medical infusion heating tube devices typically raise the patient's body temperature at a manually set fixed temperature. However, for patients with abnormal body temperature regulation, raising the body temperature too quickly or too slowly can increase medical risks. Therefore, this invention proposes an integrated multi-channel medical heating blanket infusion heating tube control technology. Summary of the Invention

[0005] The purpose of this invention is to provide a control method and system for an integrated multi-channel medical heating blanket infusion heating tube, thereby solving the above-mentioned technical problems.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A method for controlling an integrated multi-channel medical heating blanket infusion heating tube includes the following steps:

[0008] Step S1: Set the usage interval, obtain historical data, and obtain the collaborative relationship formula based on the historical data;

[0009] Step S2: Generate a normal body temperature change curve based on the historical data, obtain the temperature rise segment, and obtain the standard rate of change;

[0010] Step S3: Adjust the temperature of the heating blanket and the infusion heating tube in real time according to the synergistic relationship and the standard rate of change.

[0011] As a further aspect of the present invention: the process of obtaining the cooperative relation includes:

[0012] A regression model is established by inputting the historical data into the regression model to obtain the synergistic relationship.

[0013] As a further aspect of the present invention: the process of obtaining the heating segment includes:

[0014] Obtain the constant temperature of the normal body temperature change curve, and determine the constant point and the starting point. Based on the constant point and the starting point, extract the temperature rise segment from the normal body temperature change curve.

[0015] As a further aspect of the present invention: the process of obtaining the standard rate of change includes:

[0016] The rate of change of the heating segment is obtained, and the standard rate of change is obtained based on the average rate of change of all heating segments.

[0017] As a further aspect of the present invention: the process of adjusting the temperature of the heating blanket and the infusion heating tube in real time includes:

[0018] Obtain the current rate of change for the current patient, establish an optimization model, and use the optimization model to obtain the temperature of the warming blanket and the infusion warming tube that makes the current rate of change meet the standard rate of change.

[0019] An integrated multi-channel medical heating blanket infusion heating tube control system, characterized in that it includes:

[0020] Analysis module: Set the usage period, acquire historical data, and obtain the collaborative relationship formula based on the historical data;

[0021] Processing module: Generates a normal body temperature change curve based on the historical data, obtains the temperature rise segment, and obtains the standard rate of change;

[0022] Monitoring module: Adjusts the temperature of the heating blanket and infusion heating tube in real time based on the cooperative relationship and standard change rate.

[0023] The beneficial effects of this invention are:

[0024] This invention proposes an integrated multi-channel medical heating blanket infusion heating tube control technology, providing integrated equipment for operating rooms, which can improve equipment stability, and the integrated operation can greatly reduce the operation time of the equipment. The multi-channel heating components can meet the needs of multiple places at the same time, greatly reducing the cost of the equipment.

[0025] Furthermore, by analyzing historical data and generating normal body temperature change curves, this invention can set target body temperature and temperature regulation strategies according to the specific circumstances of different patients, achieving individualized body temperature regulation and avoiding a "one-size-fits-all" approach. By comparing the rate of change with the standard rate of change in real time, this solution can adjust the temperature in a timely manner, preventing excessive fluctuations in the patient's body temperature during the regulation process, ensuring the safety of the body temperature regulation process, and reducing medical risks. Attached Figure Description

[0026] The invention will now be further described with reference to the accompanying drawings.

[0027] Figure 1 This is a flowchart illustrating a method for controlling an integrated multi-channel medical heating blanket infusion heating tube according to the present invention.

[0028] Figure 2 This is a schematic diagram of the integrated multi-channel medical heating blanket infusion heating tube control system of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. 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.

[0030] Please see Figure 1 As shown, this invention relates to a control method for an integrated multi-channel medical heating blanket infusion heating tube, comprising the following steps:

[0031] Step S1: Set the usage interval, which is the time period from the start time of use to the end time of use of the heating blanket or infusion heating tube; and select several time nodes equally within the usage interval according to the preset time interval threshold.

[0032] Patients with normal thermoregulation ability are categorized as having normal body temperature. Historical data on patients with normal body temperature using both a warming blanket and an infusion warming tube are obtained. This historical data includes the temperature of the warming blanket, the temperature of the infusion warming tube, and the patient's body temperature at each time point within the usage period. A regression model is established, and the historical data is input into the regression model to obtain the synergistic relationship between the temperature of the warming blanket and the temperature of the infusion warming tube, Pt = β1(Hbt + β2Tit), where β1 is the first correction coefficient and β1 > 0, β2 is the second correction coefficient, Pt is the patient's body temperature, Hbt is the temperature of the warming blanket, and Tit is the temperature of the infusion warming tube.

[0033] It should be noted that in the synergistic relationship Pt=β1(Hbt+β2Tit), Pt is the patient's body temperature (predicted value), Hbt is the temperature of the warming blanket (directly affecting the patient's body surface temperature), Ti is the temperature of the infusion warming tube (indirectly affecting the patient's core body temperature by heating the infusion fluid), β1 is the first correction coefficient (a coefficient that corrects the overall sensitivity, β1>0), and β2 is the second correction coefficient (adjusting the contribution ratio of the infusion warming tube to body temperature).

[0034] Hbt ​​and Tit influence patient body temperature in a linear combination, demonstrating their synergistic temperature control effect; β2 is used to adjust the weighting of the infusion warming tubing temperature; for example:

[0035] If β2 = 0.5, then Ti's actual contribution is 0.5 × Ti, indicating that its heating efficiency is lower than that of a heating blanket; if β2 = 1.2, then Ti's contribution is amplified, which may be suitable for scenarios that require rapid increase in core body temperature.

[0036] The overall effect of β1 control (Hbt+β2Tit) on patient body temperature is determined by the following: if β1 = 0.8, then each unit of temperature input (Hbt+β2Tit) will only increase the patient's body temperature by 0.8℃.

[0037] It is worth noting that the formula for the synergistic relationship assumes that changes in patient body temperature are driven solely by the warming blanket and the intravenous warming tube, neglecting external factors such as ambient temperature and metabolic rate; β1 and β2 need to be fitted using historical data (as shown in R in the protocol). 2 =0.98 indicates that the model is highly fitted;

[0038] Step S2: Generate a normal body temperature change curve based on the patient's body temperature at each time point in the historical data; obtain the temperature rise segment in the normal body temperature change curve, and obtain the mean change rate of the temperature rise segment, which is recorded as the standard change rate.

[0039] In a preferred embodiment of the present invention, the process of generating the normal body temperature change curve includes:

[0040] A coordinate system is established with time nodes as the x-axis and temperature as the y-axis; each time node and its corresponding patient body temperature are converted into coordinate points on the coordinate system, and the coordinate points are connected by a smooth curve to obtain the normal body temperature change curve.

[0041] In a preferred embodiment of the present invention, the process of obtaining the heating segment includes:

[0042] The temperature at the last time point on the normal body temperature change curve is recorded as the constant temperature; the time point on the normal body temperature change curve when the constant temperature is first reached is recorded as the constant point, and the first time point on the normal body temperature change curve is recorded as the starting point. The curve segment between the starting point and the constant point is recorded as the temperature rise segment.

[0043] In a preferred embodiment of the present invention, the process of obtaining the standard rate of change includes:

[0044] Each time node in the heating segment is numbered, and the curve expression of the heating segment is obtained, denoted as S(x), where x is the time node number. Then, the rate of change of the heating segment is obtained. Where S′(x) represents the derivative value of the temperature rise segment at time node x, and n is the total number of time nodes in the temperature rise segment; obtain all normal body temperature change curves in the historical data, and obtain the temperature rise segments of all normal body temperature change curves, and obtain the change rate of each temperature rise segment, and obtain the standard change rate. Where m is the total number of rates of change, Cr i This represents the i-th rate of change;

[0045] It should be noted that the rate of change Cr represents the rate of change of a single heating segment, used to measure the average rate of change of body temperature during a certain period of temperature rise; the standard rate of change is calculated based on the Cr values ​​of all heating segments to form an overall average rate of change, which serves as a benchmark for dynamic temperature control.

[0046] in Where Δt is the time interval;

[0047] Step S3: Set the target body temperature. Set the target temperature of the heating blanket according to the synergistic relationship formula, and record it as the target blanket temperature. Set the target temperature of the infusion heating tube, and record it as the target tube temperature. When the current patient starts using the heating blanket and the infusion heating tube, the heating blanket and the infusion heating tube will raise the current patient's body temperature according to the target blanket temperature and the target tube temperature, respectively.

[0048] The system monitors the patient's body temperature at each time point and records it as the current patient temperature. From the start of use, it generates a real-time body temperature change curve based on the current patient temperature at each time point. It obtains the latest point and the previous point of the real-time body temperature change curve, and obtains the rate of change based on the current patient temperature and the target temperature at the latest point and the previous point, which is recorded as the current rate of change. It compares the current rate of change with the standard rate of change, and adjusts the target tube temperature and the target blanket temperature in real time according to the comparison result to make the current rate of change meet the standard rate of change until the current patient's body temperature reaches the target temperature.

[0049] In a preferred embodiment of the present invention, the process of setting the target tube temperature and the target blanket temperature according to the target temperature includes:

[0050] Establish an optimization model, the objective function of which is E. Min =k1Hbt 2 +k2Tit 2 Where k1 and k2 are the energy consumption coefficients of the heating blanket and the infusion heating tube, respectively, and the energy consumption coefficients are usually proportional to the square of the temperature; the constraint condition of the optimization model is Pt = β1(Hbt + β2Tit), and the temperature ranges of the target tube temperature and the target blanket temperature are set as Hbt ∈ [Hbt... min Hbtmax ] and Tit∈[Tit min Tit max The optimization model solves the objective function and constraints using mathematical optimization methods (such as the Lagrange multiplier method) to obtain the target tube temperature and the target blanket temperature.

[0051] It should be noted that in the objective function, k1 and k2 are the energy consumption coefficients of the heating blanket (Hbt) and the infusion heating tube (Tit), respectively, which are proportional to the square of the temperature; the objective is to minimize the total energy consumption E. Min This means minimizing the energy consumption of the heating equipment while meeting the patient's body temperature requirements; energy consumption is proportional to the square of the temperature (in accordance with Joule's law, analogous to electric heating equipment), ignoring differences in equipment efficiency, and distinguishing energy consumption weights only through coefficients k1 and k2; in the constraints, Pt is the patient's target body temperature, which needs to be achieved by adjusting Hbt and Tit;

[0052] In a preferred embodiment of the present invention, an error tolerance range [MCr-ε, MCr+ε] is set, and when the current rate of change is within the error tolerance range, the current rate of change is recorded as satisfying the standard rate of change.

[0053] In a preferred embodiment of the present invention, the process of adjusting the target tube temperature and the target blanket temperature in real time based on the comparison results includes:

[0054] A new constraint is added to the optimization model, namely MCr′∈[MCr-ε,MCr+ε], where MCr′ is the current rate of change; the optimization model solves the objective function, the constraint, and the new constraint to obtain the new target tube temperature and the new target blanket temperature, then the target tube temperature is adjusted to the new target tube temperature, and the target blanket temperature is adjusted to the new target blanket temperature.

[0055] Understandably, Hbt and Tit are dynamically adjusted based on the comparison between the real-time monitored rate of change of body temperature and the standard rate of change. If the rate of change is higher than the standard rate of change, Hbt and Tit are appropriately reduced; if the rate of change is lower than the standard rate of change, Hbt and Tit are appropriately increased. Through optimization of the model, it is ensured that the combination of Hbt and Tit meets the needs of body temperature regulation while minimizing total energy consumption. In actual operation, priority is given to selecting equipment with lower energy consumption (such as infusion heating tubes) to undertake more regulation tasks in order to reduce the high energy consumption of the heating blanket.

[0056] An integrated multi-channel medical heating blanket infusion heating tube control system includes:

[0057] Analysis module: Set the usage period, acquire historical data, and obtain the collaborative relationship formula based on the historical data;

[0058] Processing module: Generates a normal body temperature change curve based on the historical data, obtains the temperature rise segment, and obtains the standard rate of change;

[0059] Monitoring module: Adjusts the temperature of the heating blanket and infusion heating tube in real time based on the cooperative relationship and standard change rate.

[0060] An integrated multi-channel medical heating blanket infusion heating tube control system further includes a control host, a heating pad, a heating blanket, a foot heating pad, and an infusion heating tube. The infusion heating tube is used to externally heat the infusion fluid during blood transfusion and infusion. The heating pad, heating blanket, and foot pad are used for physical heating and heat preservation to assist in regulating body temperature. The heating blanket host controls the heating temperature of the infusion heating tube, heating pad, heating blanket, and foot pad, and displays the temperatures of the infusion heating tube, heating pad, heating blanket, and foot pad in real time on the heating blanket, enabling real-time monitoring of various temperatures during surgery.

[0061] The integrated multi-channel medical heating blanket infusion heating tube control system adopted in this invention can realize automatic intelligent closed-loop temperature control, which is completed collaboratively by wireless sensor probes, control host, heating accessories, core body temperature monitoring sensor, and software control system; the principle of the automatic intelligent closed-loop temperature control includes:

[0062] The wireless sensor probe dynamically measures the patient's core body temperature and transmits it wirelessly to the control host. The control host receives the core body temperature in real time, generates a heating command, and automatically and intelligently allocates each heating accessory. The heating accessories adjust the blood transfusion and infusion heating tubes and heating blankets according to the heating command to help warm the patient and keep the patient's core body temperature stable at a preset value.

[0063] It should be noted that the control host is the brain of the device, i.e., the central controller. The control host is used to memorize monitoring data, store temperature control commands, and intelligently coordinate each component of the device to perform closed-loop temperature control. The blood transfusion and infusion heating tube is used to wrap the blood transfusion and infusion tubes and heat them. The heating blanket includes a foot heating blanket and a heating cover. The foot heating blanket is used to cover the patient's feet to achieve peripheral circulation heating. The heating cover is placed under the patient and is available in reusable and disposable types, with different specifications to suit different people and different surgical procedures. The heating cover is placed under the patient and is available in different specifications to suit different surgical procedures.

[0064] Furthermore, traditional standalone transfusion and infusion warming products on the market often have relatively simple functions, mainly focusing on warming the fluids during the transfusion process. While they can address the problem of excessively low fluid temperatures to some extent, their ability to cope with the complex and diverse clinical hypothermia situations is relatively limited. As for standalone heating blankets, they primarily provide surface warmth to patients through simple heating methods, and are unlikely to effectively improve deep internal hypothermia caused by various reasons.

[0065] This invention integrates multiple advanced heating modes, including precise and efficient blood transfusion and infusion heating, as well as a professional external heating mode. This diversified heating mode design allows the product to flexibly adjust the heating strategy according to the specific conditions and actual needs of different patients, providing them with a more comprehensive and personalized heating care plan. It features five heating channels that can operate stably simultaneously, greatly improving the product's heating efficiency and effectiveness. In clinical practice, when facing various types of hypothermic patients—whether those experiencing a drop in body temperature due to massive blood transfusions or infusions, those experiencing hypothermia due to prolonged surgery or excessive heat loss from the body surface, or those with other specific causes—the five heating channels work synergistically to rapidly and evenly transfer heat to all parts of the patient's body, ensuring that the patient maintains a suitable body temperature throughout treatment. This effectively prevents various complications that may be caused by hypothermia, such as chills, arrhythmia, and coagulation disorders, providing strong support for the patient's recovery.

[0066] This invention uses 220VAC AC mains power to supply power to the system. Interference from the mains power supply is filtered out by a power filter, and finally converted to 24V DC by a switching power supply to power each functional module. The main control chip is an MCU, used to control the heating temperature of the infusion heating tube, heating pad, heating blanket, and foot pad. It is also connected to a display screen (LCD) to show the real-time temperature of the infusion heating tube, heating pad, heating blanket, and foot pad. Switching control is based on MOSFETs; the MCU's timer outputs a PCW wave to control the switching of the MOSFETs, thereby controlling the heating time of the heating wires in the infusion heating tube, heating pad, heating blanket, and foot pad. A current sampling resistor collects the operating current of the infusion heating tube, heating pad, heating blanket, and foot pad in real-time and sends it to the MCU. When an overcurrent occurs, the MCU automatically cuts off the power supply to the heating components, providing overcurrent protection. Furthermore, an NTC temperature sensor collects the real-time temperature of the infusion heating tube, heating pad, heating blanket, and foot pad and sends it to the MCU. The MCU adjusts the heating temperature in real-time based on the current temperature, achieving automatic closed-loop temperature control.

[0067] Example of experimental data:

[0068] 1. Historical data (patients with normal body temperature)

[0069]

[0070] Results of fitting the collaborative relationship:

[0071] The regression model yields: Pt = 0.85 × (Hbt + 0.92 × Tit), where β1 = 0.85, β2 = 0.92, and R0 = 0.85. 2 =0.98;

[0072] 2. Normal body temperature change curve and standard rate of change

[0073] The generated normal body temperature change curve shows that the body temperature rises from an initial 36.0℃ to 37.5℃ and then remains constant, with the temperature rise segment being the first 15 minutes;

[0074] The mean value of the derivative values ​​at each time point of the heating segment was obtained, and the standard rate of change (MCr) was 0.1℃ / min.

[0075] 3. Real-time adjustment process (a patient case)

[0076]

[0077] Key adjustment logic:

[0078] If the current rate of change is less than the standard rate of change (0.1℃ / min), increase Hbt and Tit to accelerate the heating process;

[0079] If the current rate of change is greater than or equal to the standard rate of change, maintain or fine-tune the temperature to avoid fluctuations.

[0080] Energy optimization: Prioritize adjustment via the infusion heating tube (k2 = 0.8) to reduce the high energy consumption of the heating blanket (k1 = 1.0); temperature step ≤ 1℃;

[0081] 4. System performance verification

[0082] Temperature regulation accuracy: Temperature deviation for all patients ≤ ±0.3℃;

[0083] Response time: Temperature adjustment delay < 10 seconds;

[0084] Energy consumption comparison: Traditional single-equipment system: average energy consumption 4500J / min; This system: average energy consumption 3600J / min (reduction of 28.9%).

[0085] Experimental data demonstrate that this system can achieve precise and safe body temperature regulation through historical data-driven collaborative relationships and dynamic optimization models, while simultaneously reducing equipment energy consumption. The multi-channel integrated design significantly improves clinical applicability and validates the technological advantages.

[0086] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for controlling an integrated multi-channel medical heating blanket infusion heating tube, characterized in that, Includes the following steps: Step S1: Set the usage interval, and select several time nodes equally within the usage interval according to the preset time interval threshold; acquire historical data, establish a regression model, input the historical data into the regression model, and obtain the collaborative relationship; Step S2: Generate a normal body temperature change curve based on the patient's body temperature at each time point in the historical data; obtain the temperature rise segment in the normal body temperature change curve, and obtain the mean change rate of the temperature rise segment, which is recorded as the standard change rate. Step S3: Set the target body temperature. Set the target blanket temperature of the heating blanket according to the synergistic relationship, and set the target tube temperature of the infusion heating tube. When the current patient starts using the heating blanket and the infusion heating tube, the heating blanket and the infusion heating tube will raise the current patient's body temperature according to the target blanket temperature and the target tube temperature, respectively. The system acquires the patient's current body temperature in real time and generates a real-time body temperature change curve; it obtains the current rate of change based on the real-time body temperature change curve; it compares the current rate of change with the standard rate of change and adjusts the target tube temperature and target blanket temperature in real time based on the comparison result. In step S1, the cooperative relationship is Pt= β 1(Hbt+ β 2Tit), of which β 1 is the first correction factor and β 1>0, β 2 is the second correction factor, Pt is the patient's body temperature, Hbt is the temperature of the warming blanket, and Tit is the temperature of the infusion warming tube; In step S2, the process of obtaining the standard rate of change includes: Each time node in the heating segment is numbered, and the curve expression of the heating segment is obtained, denoted as S(x), where x is the time node number. Then, the rate of change of the heating segment is obtained. Where S´(x) represents the derivative value of the temperature rise segment at time node x, and n is the total number of time nodes on the temperature rise segment; obtain all normal body temperature change curves in the historical data, and obtain the temperature rise segments of all normal body temperature change curves, and obtain the change rate of each temperature rise segment, and obtain the standard change rate. Where m is the total number of rates of change, Cr i This represents the i-th rate of change.

2. The method for controlling the infusion heating tube of an integrated multi-channel medical heating blanket according to claim 1, characterized in that, In step S1, the usage period is the time interval between the start time of use and the end time of use of the heating blanket or infusion heating tube; Patients with normal body temperature regulation ability are recorded as patients with normal body temperature; historical data of patients with normal body temperature using both warming blankets and infusion warming tubes are obtained, and the historical data includes the temperature of the warming blanket, the temperature of the infusion warming tube, and the patient's body temperature at each time point within the usage period.

3. The method for controlling the infusion heating tube of an integrated multi-channel medical heating blanket according to claim 1, characterized in that, In step S2, the process of obtaining the heating segment includes: A coordinate system is established with time nodes as the x-axis and temperature as the y-axis. Each time node and its corresponding patient body temperature are converted into coordinate points on the coordinate system, and the coordinate points are connected by a smooth curve to obtain the normal body temperature change curve. The temperature at the last time point on the normal body temperature change curve is recorded as the constant temperature; the time point at which the constant temperature is first reached on the normal body temperature change curve is recorded as the constant point, and the first time point on the normal body temperature change curve is recorded as the starting point. The curve segment between the starting point and the constant point is recorded as the temperature rise segment.

4. The method for controlling the infusion heating tube of an integrated multi-channel medical heating blanket according to claim 1, characterized in that, In step S3, the process of setting the target tube temperature and the target blanket temperature according to the target temperature includes: The target tube temperature is the target temperature of the infusion heating tube, the target blanket temperature is the target temperature of the heating blanket set according to the synergistic relationship; the current patient body temperature is the current patient body temperature at each time point being monitored. Establish an optimization model, the objective function of which is E. Min =k1Hbt 2 +k2Tit 2 Where k1 and k2 are the energy consumption coefficients of the heating blanket and the infusion heating pipe, respectively, and the energy consumption coefficients are usually proportional to the square of the temperature; the constraint condition of the optimization model is Pt= β 1(Hbt+ β 2Tit), and set the temperature ranges of the target tube temperature and the target blanket temperature, respectively, Hbt∈[Hbt] min Hbt max ] and Tit∈[Tit min Tit max The optimization model solves the objective function and constraints using mathematical optimization methods to obtain the target tube temperature and the target blanket temperature.

5. The method for controlling the infusion heating tube of an integrated multi-channel medical heating blanket according to claim 1, characterized in that, In step S3, the process of obtaining the current rate of change includes: From the start of use, a real-time body temperature change curve is generated based on the current patient body temperature at each time point; the latest point and the previous point of the real-time body temperature change curve are obtained, and the change rate is obtained based on the current patient body temperature and the target body temperature at the latest point and the previous point, which is recorded as the current change rate.

6. The method for controlling the infusion heating tube of an integrated multi-channel medical heating blanket according to claim 4, characterized in that, In step S3, the process of adjusting the target tube temperature and the target blanket temperature in real time based on the comparison results includes: A new constraint is added to the optimization model, namely MCr´∈[MCr- ε MCr+ ε ], where MCr´ is the current rate of change; the optimization model solves the objective function, constraints and new constraints to obtain the new target tube temperature and the new target blanket temperature, then the target tube temperature is adjusted to the new target tube temperature, and the target blanket temperature is adjusted to the new target blanket temperature.

7. A control system for an integrated multi-channel medical heating blanket infusion heating tube, characterized in that, include: Analysis module: Set the usage interval, and select several time nodes equally within the usage interval according to the preset time interval threshold; acquire historical data, establish a regression model, input the historical data into the regression model, and obtain the collaborative relationship; Processing module: Based on the patient's body temperature at each time point in the historical data, generate a normal body temperature change curve; obtain the temperature rise segment in the normal body temperature change curve, and obtain the mean change rate of the temperature rise segment, which is recorded as the standard change rate; Monitoring module: Set target body temperature, set target blanket temperature for the heating blanket according to the cooperative relationship, and set target tube temperature for the infusion warming tube; when the current patient starts using the heating blanket and infusion warming tube, the heating blanket and infusion warming tube will raise the current patient's body temperature according to the target blanket temperature and target tube temperature, respectively. The system acquires the patient's current body temperature in real time and generates a real-time body temperature change curve; it obtains the current rate of change based on the real-time body temperature change curve; it compares the current rate of change with the standard rate of change and adjusts the target tube temperature and target blanket temperature in real time based on the comparison result. The cooperative relationship is Pt= β 1(Hbt+ β 2Tit), of which β 1 is the first correction factor and β 1>0, β 2 is the second correction factor, Pt is the patient's body temperature, Hbt is the temperature of the warming blanket, and Tit is the temperature of the infusion warming tube; The process of obtaining the standard rate of change includes: Each time node in the heating segment is numbered, and the curve expression of the heating segment is obtained, denoted as S(x), where x is the time node number. Then, the rate of change of the heating segment is obtained. Where S´(x) represents the derivative value of the temperature rise segment at time node x, and n is the total number of time nodes on the temperature rise segment; obtain all normal body temperature change curves in the historical data, and obtain the temperature rise segments of all normal body temperature change curves, and obtain the change rate of each temperature rise segment, and obtain the standard change rate. Where m is the total number of rates of change, Cr i This represents the i-th rate of change.

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