Heat stroke body temperature management system and method

Abstract

The invention relates to the technical field of body temperature management, and discloses a thermoplegia body temperature management system and method, and the system comprises a body temperature monitoring module, an environment monitoring module, a data processing module, an environment analysis module, an evaluation early warning module, and a body temperature regulation and control unit. A novel high-precision thermistor array and a multispectral body surface temperature sensor are combined, the internal and external temperatures of a patient are comprehensively collected, an environment monitoring module also collects multi-dimensional environment information in real time, the comprehensive body temperature is accurately calculated through data processing, and a reliable basis is provided for diagnosis; the environment analysis module scientifically evaluates the environment pressure through normalization processing and comprehensive heat stress index calculation, and the evaluation early warning module sequentially carries out graded early warning to guarantee timely response; the body temperature regulation and control unit formulates a detailed dynamic regulation and control strategy according to the comprehensive body temperature and the environmental thermal stress level, covers various measures in different environments and body temperature states, and determines different types of regulation and control instructions through cooling intensity parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of body temperature management, and in particular to a heat stroke body temperature management system and method. Background Art

[0002] In the field of traditional heat stroke temperature management, there are many existing problems that need to be solved. At present, there are obvious deficiencies in temperature monitoring methods. On the one hand, the core body temperature measurement method is relatively limited. For example, the single measurement of rectal temperature is not only inconvenient to operate, but may also cause discomfort to the patient, and cannot be used in some special cases (such as patients after intestinal surgery); and relying solely on tympanic membrane temperature measurement, the accuracy is easily affected by the external auditory canal conditions (such as cerumen blockage, inflammation). On the other hand, surface temperature monitoring often only focuses on individual parts, such as the forehead, which is difficult to fully reflect the patient's overall body surface heat dissipation, resulting in an inaccurate assessment of the patient's body temperature status and unable to provide a reliable basis for subsequent treatment.

[0003] Environmental parameters have a significant impact on the temperature regulation of patients with heat stroke, but existing environmental monitoring methods are too simple. In most cases, only the ambient temperature and relative humidity are monitored, ignoring key factors such as wind speed and solar radiation intensity. However, in practice, wind speed can significantly affect the efficiency of human convection heat dissipation, and solar radiation will directly increase the body's heat absorption. The lack of comprehensive consideration of these factors makes it impossible to fully adapt to the complex and changing environment when formulating temperature control strategies, and it is difficult to achieve accurate and effective temperature management.

[0004] There are also many drawbacks in the implementation of cooling measures. Traditional water-cooled blankets usually only have fixed temperature and flow rate settings, and cannot be dynamically adjusted according to the patient's real-time body temperature and environmental changes. This leads to excessive cooling during the cooling process, which may cause the patient to shiver and increase the body's heat production, or insufficient cooling, which cannot effectively reduce the patient's excessively high body temperature. Similarly, when ordinary fans are in use, the wind speed and blowing angle are fixed, and they cannot be adjusted in a targeted manner according to the temperature differences in different parts of the patient's body surface, affecting the heat dissipation effect. In addition, during infusion therapy, the infusion rate is often set based on the experience of medical staff, lacking a scientific and accurate calculation method, and cannot accurately match the amount of fluid loss caused by sweating and increased body temperature in patients. It is easy to have problems with excessive or insufficient infusion, which has an adverse effect on the stability of the patient's internal environment. Summary of the invention

[0005] The purpose of the present invention is to provide a heat stroke body temperature management system and method, which solves the technical problems raised in the background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A heat stroke body temperature management system, comprising:

[0008] A body temperature monitoring module, which is used to collect the body temperature information of heat stroke patients; the body temperature information includes: measuring the temperatures of multiple key parts in the patient's body through a thermistor array; measuring the temperatures of different regions on the body surface through a multispectral body surface temperature sensor;

[0009] An environmental monitoring module, which is used to collect the environmental information of the environment where heat stroke patients are located in real time; the environmental information includes environmental temperature, humidity, wind speed, and solar radiation intensity;

[0010] A data processing module, which is used to perform fusion processing on the body temperature information, then determine the internal temperature and body surface temperature of heat stroke patients, and then calculate the comprehensive body temperature of heat stroke patients based on this;

[0011] An environmental analysis module, which is used to perform heat stress analysis based on the environmental information and obtain a comprehensive heat stress index;

[0012] An evaluation and warning module, which is used to determine the body temperature status of heat stroke patients based on the comprehensive body temperature, and at the same time determine the heat stress level of the environment based on the comprehensive heat stress index, and then issue a warning based on the body temperature status and heat stress level;

[0013] A body temperature regulation unit, which is used to formulate a dynamic body temperature regulation strategy based on the comprehensive body temperature of heat stroke patients and the environmental heat stress level, and output the corresponding regulation instructions.

[0014] As a further solution of the present invention: the fusion processing method is as follows:

[0015] Extract the temperatures of multiple key parts, and calculate their average value, and then record this average value as the internal temperature T N ; at the same time, extract the temperatures of different regions on the body surface, and calculate their average value, and then record this average value as the body surface temperature T B ;

[0016] Then through: T Z = T N ×β N + T B ×β B ;

[0017] Calculate the comprehensive body temperature T of heat stroke patients Z ;

[0018] In the formula, β N and β B are respectively preset weight coefficients corresponding to the internal temperature and the body surface temperature; and β N + β B = 1.

[0019] As a further solution of the present invention: the heat stress analysis method is as follows:

[0020] StepR1. First, normalize the ambient temperature, ambient humidity, wind speed, and solar radiation intensity in the environment where the heatstroke patient is located in real time, and obtain the normalized ambient temperature HT1, ambient humidity HS1, wind speed F1, and solar radiation intensity Q1;

[0021] StepR2. Substitute the normalized values of the ambient temperature, ambient humidity, wind speed, and solar radiation intensity into the comprehensive heat stress index formula:

[0022] Z R = HT1 × γ HT + HS1 × γ HS + F1 × γ F + Q1 × γ Q

[0023] Calculate the comprehensive heat stress index Z R ;

[0024] In the formula, γ HT , γ HS , γ F and γ Q are the preset weight coefficients corresponding to the ambient temperature, ambient humidity, wind speed, and solar radiation intensity respectively; and γ HT + γ HS + γ F + γ Q = 1.

[0025] As a further solution of the present invention: The normalization method is as follows:

[0026] StepR1.1. First, mark the ambient temperature, ambient humidity, wind speed, and solar radiation intensity in the environment where the heatstroke patient is located in real time as X0 = {HT0, HS0, F0, Q0};

[0027] Among them, X0 represents the substitution vector values corresponding to the ambient temperature, ambient humidity, wind speed, and solar radiation intensity; HT0 represents the ambient temperature; HS0 represents the ambient humidity; F0 represents the wind speed; Q0 represents the solar radiation intensity;

[0028] StepR1.2. Extract the normal value ranges preset in the actual application scenario according to the ambient temperature, ambient humidity, wind speed, and solar radiation intensity, and mark them as [X min , X max = {[HT min , HT max , [HS min , HS max , [F min , F max , [Q min , Qmax};

[0029] Among them, X min and X max respectively refer to the substitution vector values of the lower limit value and the upper limit value in the normal value range corresponding to the environmental temperature, environmental humidity, wind speed, and solar radiation intensity; HT min and HT max respectively refer to the lower limit value and the upper limit value in the normal value range corresponding to the environmental temperature; HS min and HS max respectively refer to the lower limit value and the upper limit value in the normal value range corresponding to the environmental temperature; F min and F max respectively refer to the lower limit value and the upper limit value in the normal value range corresponding to the environmental temperature; Q min and Q max respectively refer to the lower limit value and the upper limit value in the normal value range corresponding to the environmental temperature;

[0030] StepR1.3. Calculate the normalized values X1 of the environmental temperature, environmental humidity, wind speed, and solar radiation intensity through the formula

[0031] and X1 = {HT1, HS1, F1, Q1}.

[0032] As a further solution of the present invention: The specific manner of the evaluation and early warning module is as follows:

[0033] StepT1. Body temperature status determination:

[0034] Compare the comprehensive body temperature T Z with the preset body temperature thresholds T1, T2, and T3, and then determine the body temperature status of the heat stroke patient; among them, T1 < T2 < T3;

[0035] When T Z ≤ T1, it is determined that the heat stroke patient is in a normal body temperature state;

[0036] When T1 < T Z ≤ T2, it is determined that the heat stroke patient is in a mild heat stress state;

[0037] When T2 < T Z ≤ T3, it is determined that the heat stroke patient is in a moderate heat stress state;

[0038] When T Z > T3, it is determined that the heat stroke patient is in a severe heat stress state;

[0039] StepT2. Environmental heat stress level determination:

[0040] Compare the comprehensive heat stress index Z R with the pre-set heat stress index thresholds R1 and R2:

[0041] wherein, R1 < R2;

[0042] When Z R < R1, it is classified as a low-level heat stress environment;

[0043] When R1 ≤ Z R < R2, it is classified as a medium-level heat stress environment;

[0044] When Z R ≥ R2, it is classified as a high-level heat stress environment;

[0045] StepT3, multi-level early warning mechanism triggered:

[0046] When the heatstroke patient is in a mild heat stress state, or the current environment is in a medium-level heat stress environment, a primary early warning signal is generated;

[0047] When the heatstroke patient is in a moderate heat stress state, or the current environment is in a high-level heat stress environment, a secondary early warning signal is generated;

[0048] When the heatstroke patient is in a severe heat stress state, a high-level early warning signal is generated.

[0049] As a further solution of the present invention: The specific steps of the body temperature regulation unit are as follows:

[0050] StepU1, dynamic regulation strategy generation:

[0051] Combining the body temperature state and the environmental heat stress level, a hierarchical regulation strategy is generated:

[0052] In a low-level heat stress environment:

[0053] When the heatstroke patient is in a normal body temperature state, the current environmental parameters are maintained without intervention;

[0054] When the heatstroke patient is in a mild heat stress state, natural heat dissipation measures are taken, and natural heat dissipation assistance includes increasing ventilation to lower the environmental temperature;

[0055] When the heatstroke patient is in a moderate or higher heat stress state, active cooling measures are taken, and active cooling includes icing the body surface and intravenous injection of low-temperature physiological saline;

[0056] In a medium-level heat stress environment:

[0057] When the heatstroke patient is in a normal or mild heat stress state, pre-cooling measures are taken, and pre-cooling measures include spraying atomized water and wearing a cooling patch;

[0058] When the heatstroke patient is in a moderate heat stress state, evaporative cooling measures are superimposed, specifically, covering the body surface with a wet towel and cooperating with a fan for forced convection;

[0059] When the heatstroke patient is in a severe heat stress state: immediately take the measure of soaking the whole body in cold water;

[0060] In a high-grade heat stress environment:

[0061] For any heat stress state, combined cooling is adopted. The combined cooling is specifically: cooling the body internally by perfusing low-temperature normal saline through a gastric tube; at the same time, wrapping the trunk with an ice blanket and cooling the body surface through cold air circulation;

[0062] Step U2, calculation of regulation parameters:

[0063] According to the comprehensive body temperature T Z and the comprehensive heat stress index Z R , determine the dynamically adjusted cooling intensity parameter K;

[0064] The formula is: K = α1×(T Z - T1) + α2×(Z R - R1)

[0065] In the formula, α1 is the preset body temperature deviation coefficient, and α2 is the preset environmental compensation coefficient;

[0066] When K ≤ 1, generate a regulation instruction corresponding to natural heat dissipation;

[0067] When 1 < K ≤ 3, generate a regulation instruction corresponding to physical cooling;

[0068] When K > 3, generate a regulation instruction corresponding to medical cooling.

[0069] As a further solution of the present invention: the natural heat dissipation regulation instruction includes: increasing ventilation, reducing the environmental temperature, and reducing solar radiation;

[0070] The physical cooling regulation instruction includes: ice application on the body surface, evaporative cooling, and cold water immersion;

[0071] The medical cooling regulation instruction includes: intravenous low-temperature infusion, and perfusing low-temperature normal saline through a gastric tube.

[0072] A heatstroke body temperature management method, which is implemented by a heatstroke body temperature management system. The method includes the following steps:

[0073] The first step, data monitoring:

[0074] Real-time collect the body temperature information of the heatstroke patient and the environmental information of the environment where the heatstroke patient is located;

[0075] Step 2, Processing and Analysis:

[0076] Fuse and process the body temperature information, then determine the internal temperature and surface temperature of the heatstroke patient, and then calculate the comprehensive body temperature of the heatstroke patient based on them; at the same time, conduct heat stress analysis based on the environmental information and obtain the comprehensive heat stress index;

[0077] Step 3, Evaluation and Warning:

[0078] Determine the body temperature status of the heatstroke patient based on the comprehensive body temperature, and at the same time determine the heat stress level of the environment based on the comprehensive heat stress index, and then issue a warning based on the body temperature status and heat stress level;

[0079] Step 4, Body Temperature Regulation:

[0080] Formulate a dynamic body temperature regulation strategy based on the comprehensive body temperature of the heatstroke patient and the environmental heat stress level, and output the corresponding regulation instructions.

[0081] Advantages of the present invention:

[0082] Multi-dimensional body temperature information collection: Innovatively adopt a combination of a new type of high-precision thermistor array and a multi-spectral body surface temperature sensor, which can simultaneously obtain the temperatures of multiple key parts inside the patient's body and the temperatures of different regions on the body surface, and construct a comprehensive and accurate body temperature data system. Compared with traditional single body temperature measurement methods, this multi-dimensional collection method can more carefully and accurately reflect the patient's true body temperature status, and avoid deviations in the judgment of the condition caused by local measurement errors.

[0083] Accurate calculation of comprehensive body temperature: Through a unique data fusion processing method, fuse the internal temperature and surface temperature, and conduct a comprehensive calculation according to the preset weight coefficients to obtain the comprehensive body temperature; this scientific calculation method fully considers the synergistic relationship between the internal and external temperatures, enabling the comprehensive body temperature to more truly reflect the overall heat stress state of the patient, providing extremely accurate core data support for subsequent condition assessment and treatment decision-making.

[0084] Omni-directional environmental information collection: Equipped with high-precision environmental temperature and humidity sensors, wind speed and direction sensors, and solar radiation intensity sensors, which can collect key environmental information such as the temperature, humidity, wind speed, and solar radiation intensity of the environment where the heatstroke patient is located in real time and accurately. These rich and real-time environmental data provide comprehensive materials for in-depth understanding of the heat stress factors in the patient's environment, and help to comprehensively judge the impact of the environment on the patient's condition.

[0085] Accurate heat stress analysis: Through rigorous normalization processing and calculation of the comprehensive heat stress index formula, the collected information such as ambient temperature, humidity, wind speed and solar radiation intensity can be quantitatively integrated to obtain a comprehensive heat stress index that accurately reflects the degree of environmental heat stress; this process fully considers the interaction of various environmental factors in actual scenarios and their comprehensive impact on human heat stress. Compared with simple single environmental parameter assessment, it can more comprehensively and accurately assess the environmental heat stress level of the patient, providing a key environmental basis for subsequent early warning and temperature regulation.

[0086] Detailed determination of body temperature status and heat stress level: By comparing the comprehensive body temperature with the preset body temperature threshold, it can accurately determine whether the heat stroke patient is in a normal body temperature, mild heat stress, moderate heat stress or severe heat stress state; at the same time, the comprehensive heat stress index is compared with the pre-set heat stress index threshold to clearly identify the heat stress level of the environment as low, medium or high. This detailed grading determination method makes the assessment of the patient's condition and environmental risks more scientific and accurate, and provides a clear direction for subsequent early warning and intervention measures.

[0087] Multi-level early warning mechanism for timely response: Based on the above-mentioned precise body temperature status and heat stress level judgment results, a scientific and reasonable multi-level early warning mechanism has been constructed. When the patient is in a state of mild heat stress or the environment is in a medium-level heat stress environment, a primary early warning signal is generated to prompt medical staff or related personnel to pay attention to the patient's condition; when the patient is in a state of moderate heat stress or the environment is in a high-level heat stress environment, an intermediate early warning signal is issued to further emphasize the urgency of the condition; and when the patient is in a state of severe heat stress, an advanced early warning signal is directly generated to immediately start the emergency treatment procedure; this step-by-step early warning mechanism can ensure that corresponding responses can be made in a timely manner under different risk levels, greatly improving the timeliness and effectiveness of the treatment of heat stroke patients, and buying precious time to save patients' lives.

[0088] The graded control strategy is highly targeted: a detailed graded control strategy is formulated by fully combining the body temperature status and the environmental heat stress level; in a low-level heat stress environment, according to the different body temperature status of the patient, maintain the current environmental parameters, take natural heat dissipation measures or active cooling measures; in a medium-level heat stress environment, according to the different degrees of heat stress of the patient, take pre-cooling measures, superimposed evaporative cooling measures or emergency whole-body cold water immersion measures in turn; in a high-level heat stress environment, no matter what kind of heat stress state the patient is in, combined cooling measures are taken, including internal cooling by infusing low-temperature saline through a gastric tube and surface cooling by wrapping the torso with an ice blanket and combining it with cold air circulation; this graded control strategy for different environments and conditions is highly targeted and practical, and can accurately implement effective temperature control measures according to the actual situation of the patient to improve the treatment effect.

[0089] Dynamically adjust the cooling intensity: Through a unique formula, based on the comprehensive body temperature and the comprehensive heat stress index, determine the dynamically adjusted cooling intensity parameters, and then generate the control instructions corresponding to natural heat dissipation, physical cooling, and medical cooling respectively. Also, clarify the specific measures included in each control instruction. For example, the natural heat dissipation control instruction includes increasing ventilation, reducing the ambient temperature, and reducing solar radiation; the physical cooling control instruction includes ice application on the body surface, evaporative cooling, and cold water immersion; the medical cooling control instruction includes intravenous hypothermic infusion and gastric tube perfusion of hypothermic normal saline. This way of dynamically adjusting the cooling intensity can flexibly and accurately adjust the cooling strategy according to the real-time body temperature changes of the patient and the degree of environmental heat stress, ensuring that the body temperature regulation is neither excessive nor insufficient, and maximizing the safety and treatment effect of the patient, realizing personalized and dynamic precise body temperature management. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] The present invention will be further described below with reference to the accompanying drawings.

[0091] Figure 1 It is a system block diagram of a heat stroke body temperature management system of the present invention.

[0092] Figure 2 It is a flowchart of a heat stroke body temperature management method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0093] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0094] Embodiment 1

[0095] Please refer to Figure 1 As shown, the present invention is a heat stroke body temperature management system, including:

[0096] A body temperature monitoring module for collecting the body temperature information of heat stroke patients;

[0097] Among them, the body temperature information is collected by combining a new type of high-precision thermistor array and a multispectral body surface temperature sensor, and the body temperature information includes:

[0098] Measure the temperatures of multiple key parts in the patient's body through the thermistor array;

[0099] In this embodiment, the key parts are designated as parts such as the oral cavity, rectum, and armpit;

[0100] Measure the temperatures of different regions on the body surface through a multispectral body surface temperature sensor;

[0101] In this embodiment, different regions on the body surface are designated as regions such as the forehead, neck, wrist, and ankle;

[0102] An environmental monitoring module for collecting environmental information of the environment where the heatstroke patient is located in real time;

[0103] Among them, the environmental information is collected in real time through a equipped high-precision environmental temperature and humidity sensor, a wind speed and direction sensor, and a solar radiation intensity sensor; the environmental information includes environmental temperature, humidity, wind speed, and solar radiation intensity;

[0104] A data processing module for performing fusion processing on the body temperature information, then determining the internal temperature and the body surface temperature of the heatstroke patient, and then calculating the comprehensive body temperature of the heatstroke patient based on them;

[0105] The fusion processing method is as follows:

[0106] Extract the temperatures of multiple key parts and calculate their average value, and then record this average value as the internal temperature T N ; at the same time, extract the temperatures of different regions on the body surface and calculate their average value, and then record this average value as the body surface temperature T B ;

[0107] Then through: T Z = T N ×β N + T B ×β B ;

[0108] Calculate the comprehensive body temperature T of the heatstroke patient Z ;

[0109] In the formula, β N and β B are respectively preset weight coefficients corresponding to the internal temperature and the body surface temperature; and β N + β B = 1;

[0110] In this embodiment, due to the greater importance of the internal temperature for judging the condition of the heatstroke patient, the value of β N is set to 0.75, and the value of β B is set to 0.25;

[0111] In the first embodiment, body temperature information is collected by combining a new type of high-precision thermistor array with a multi-spectral body temperature sensor, which can obtain the temperatures of multiple key parts (such as the oral cavity, rectum, armpit) and different areas on the body surface (such as the forehead, neck, wrist, ankle) of the patient, comprehensively reflecting the patient's body temperature status. The environmental monitoring module uses high-precision environmental temperature and humidity sensors, wind speed and direction sensors, and solar radiation intensity sensors to collect environmental information in real time, covering environmental temperature, humidity, wind speed, and solar radiation intensity, providing a comprehensive data basis for subsequent analysis. The data processing module calculates the comprehensive body temperature through a unique fusion processing method. Considering the importance of internal body temperature for disease judgment, the weight coefficient is reasonably set, which can more accurately reflect the patient's true body temperature, provide a reliable basis for the diagnosis and treatment of heat stroke, and improve the accuracy and scientific nature of body temperature monitoring for heat stroke patients.

[0112] The second embodiment

[0113] Please refer to Figure 1 As shown, as the second embodiment of the present invention, when this application is specifically implemented, compared with the first embodiment, the difference between the technical solution of this embodiment and that of the first embodiment is only that in this embodiment,

[0114] An environmental analysis module is used to perform heat stress analysis based on environmental information and obtain a comprehensive heat stress index;

[0115] In this embodiment, the comprehensive heat stress index is used to evaluate the pressure of the environment on the patient's body temperature regulation. The larger the comprehensive heat stress index, the greater the pressure of the environment on the patient's body temperature regulation;

[0116] The heat stress analysis method is as follows:

[0117] StepR1. First, normalize the environmental temperature, environmental humidity, wind speed, and solar radiation intensity in the environment where the heat stroke patient is located in real time. The normalization processing method is as follows:

[0118] StepR1.1. First, mark the environmental temperature, environmental humidity, wind speed, and solar radiation intensity in the environment where the heat stroke patient is located in real time as X0 = {HT0, HS0, F0, Q0};

[0119] Among them, X0 refers to the substitution vector values corresponding to the environmental temperature, environmental humidity, wind speed, and solar radiation intensity;

[0120] HT0 refers to the environmental temperature;

[0121] HS0 refers to the environmental humidity;

[0122] F0 refers to the wind speed;

[0123] Q0 refers to the solar radiation intensity;

[0124] StepR1.2. Extract the normal value ranges preset in the actual application scenario according to the ambient temperature, ambient humidity, wind speed, and solar radiation intensity, and mark them as [X min , X max = {[HT min , HT max , [HS min , HS max , [F min , F max , [Q min , Q max};

[0125] Among them, X min， and X max respectively represent the substitution vector values of the lower limit and upper limit in the normal value ranges corresponding to the ambient temperature, ambient humidity, wind speed, and solar radiation intensity;

[0126] HT min and HT max respectively represent the lower limit and upper limit in the normal value range corresponding to the ambient temperature;

[0127] HS min and HS max respectively represent the lower limit and upper limit in the normal value range corresponding to the ambient temperature;

[0128] F min and F max respectively represent the lower limit and upper limit in the normal value range corresponding to the ambient temperature;

[0129] Q min and Q max respectively represent the lower limit and upper limit in the normal value range corresponding to the ambient temperature;

[0130] StepR1.3. Calculate the normalized values X1 of the ambient temperature, ambient humidity, wind speed, and solar radiation intensity through the formula

[0131] and X1 = {HT1, HS1, F1, Q1};

[0132] StepR2. Substitute the normalized values of the normalized ambient temperature, ambient humidity, wind speed, and solar radiation intensity into the comprehensive heat stress index formula:

[0133] Z R = HT1 × γ HT + HS1 × γ HS + F1 × γ F + Q1 × γ Q

[0134] Calculate the comprehensive heat stress index Z R ;

[0135] In the formula, γ HT , γ HS , γ F and γ Q are respectively the preset weight coefficients corresponding to the ambient temperature, ambient humidity, wind speed and solar radiation intensity; and γ HT +γ HS +γ F +γ Q = 1;

[0136] In this embodiment, the ambient temperature is one of the key factors affecting the human body's heat balance; when the ambient temperature is higher than the human body surface temperature, it is difficult for the human body to dissipate heat through convection, and even absorb heat from the environment, resulting in an increase in body temperature and heat stress;

[0137] Therefore, a relatively high weight of 0.4 is given to it to highlight its importance in the comprehensive heat stress assessment;

[0138] The ambient humidity has a significant impact on evaporative heat dissipation in the human body's heat dissipation mechanism; in a high-humidity environment, the evaporation rate of sweat slows down, the heat dissipation efficiency of the human body decreases, and heat is easily accumulated, leading to heat stress;

[0139] So a weight of 0.3 is given to reflect its important role in heat stress.

[0140] The wind speed can accelerate the air flow on the human body surface, promote the evaporation of sweat, take away heat, and relieve heat stress; its effect is opposite to that of temperature and humidity;

[0141] Therefore, it is presented as a subtraction term in the formula, and the weight is set to 0.2, indicating that it has a relieving effect on heat stress, but the influence degree is slightly lower than that of temperature and humidity.

[0142] The solar radiation intensity directly transfers energy to the human body, causing the human body to absorb additional heat and increasing the degree of heat stress; although in a general environment, its influence degree is relatively small compared with temperature and humidity;

[0143] So a weight of 0.1 is given, but in an outdoor high-temperature environment, its influence on heat stress situations such as the risk of heat stroke cannot be ignored;

[0144] The evaluation and early warning module is used to determine the body temperature status of heat stroke patients based on the comprehensive body temperature, and at the same time determine the heat stress level of the environment based on the comprehensive heat stress index, and then issue an early warning based on the body temperature status and heat stress level;

[0145] Step T1, Body temperature status determination:

[0146] The comprehensive body temperature TZ Compare with the preset body temperature thresholds T1, T2, and T3, and then determine the body temperature status of heat stroke patients; among them, T1 < T2 < T3;

[0147] When T Z ≤T1, it is determined that the heat stroke patient is in a normal body temperature state;

[0148] When T1 < T Z ≤T2, it is determined that the heat stroke patient is in a mild heat stress state;

[0149] When T2 < T Z ≤T3, it is determined that the heat stroke patient is in a moderate heat stress state;

[0150] When T Z >T3, it is determined that the heat stroke patient is in a severe heat stress state;

[0151] Step T2, Ambient Heat Stress Level Judgment:

[0152] Compare the comprehensive heat stress index Z R with the preset heat stress index thresholds R1 and R2:

[0153] Among them, R1 < R2;

[0154] When Z R < R1, then it is positioned as a low-level heat stress environment;

[0155] When R1 ≤ Z R < R2, then it is positioned as a medium-level heat stress environment;

[0156] When Z R ≥R2, then it is positioned as a high-level heat stress environment;

[0157] Step T3, Triggering of Multi-level Early Warning Mechanism:

[0158] When the heat stroke patient is in a mild heat stress state, or the current environment is in a medium-level heat stress environment, generate a primary warning signal and display it to medical staff in the form of audible and visual alarms;

[0159] When the heat stroke patient is in a moderate heat stress state, or the current environment is in a high-level heat stress environment, generate an intermediate warning signal and automatically transmit it to the first aid team;

[0160] When the heat stroke patient is in a severe heat stress state, generate a high-level warning signal and link with the hospital emergency system to generate a rescue plan;

[0161] Example 2 adds an environmental analysis module based on Example 1. By normalizing environmental information and calculating the comprehensive heat stress index using the comprehensive heat stress index formula, it can effectively evaluate the pressure of the environment on the patient's body temperature regulation. According to the influence degree of each environmental factor on the human body's heat balance, the weight coefficient is reasonably set. For example, a higher weight is given to the environmental temperature to highlight its key role, reflecting the precise consideration of the influence of different environmental factors. The evaluation and warning module determines the patient's body temperature status and environmental heat stress level based on the comprehensive body temperature and comprehensive heat stress index respectively, and establishes a multi-level warning mechanism, which can timely send warning signals of different levels to medical staff, the first aid team and the hospital emergency system, helping to take corresponding measures in a timely manner to deal with different risk situations faced by heatstroke patients, and improving the timeliness and effectiveness of heatstroke treatment.

[0162] Example 3

[0163] Please refer to Figure 1 As shown, as Example 3 of the present invention, when this application is specifically implemented, compared with Example 1 and Example 2, the technical solution of this example is to combine and implement the solutions of the above Example 1 and Example 2. The difference between the technical solution of this example and Example 1 and Example 2 is only that in this example, it further includes:

[0164] A body temperature regulation unit, configured to formulate a dynamic body temperature regulation strategy according to the comprehensive body temperature and environmental heat stress level of a heatstroke patient, and output a corresponding regulation instruction;

[0165] The specific steps are as follows:

[0166] StepU1. Generation of dynamic regulation strategy:

[0167] Combining the body temperature status and the environmental heat stress level, generating a hierarchical regulation strategy:

[0168] In an environment with a low-level heat stress:

[0169] When the heatstroke patient is in a normal body temperature state, the current environmental parameters are maintained without intervention;

[0170] When the heatstroke patient is in a mild heat stress state, natural heat dissipation measures are taken. The natural heat dissipation assistance includes increasing ventilation to reduce the environmental temperature;

[0171] In this example, the wind speed is increased to 0.5 m / s and the environmental temperature is reduced to below 26 °C;

[0172] When the heatstroke patient is in a moderate or above heat stress state, active cooling measures are taken. The active cooling includes ice application to the body surface and intravenous injection of low-temperature physiological saline;

[0173] In this example, the low-temperature physiological saline is 4 °C;

[0174] In a medium-level heat stress environment:

[0175] When the heatstroke patient is in a normal or mild heat stress state, pre-cooling measures are taken. The pre-cooling measures include spraying atomized water with a humidity controlled at 50% to 60%, and wearing a cooling patch applied to the wrists and ankles of the heatstroke patient;

[0176] When the heatstroke patient is in a moderate heat stress state, evaporation cooling measures are superimposed. Specifically, a wet towel is used to cover the body surface and forced convection is carried out with a fan; in this embodiment, the wind speed is increased to 0.5 m / s;

[0177] When the heatstroke patient is in a severe heat stress state: Urgently take the measure of whole-body cold water immersion; in this embodiment, the water temperature is 10 to 15 °C and lasts for 5 minutes;

[0178] In a high-level heat stress environment:

[0179] For any heat stress state, combined cooling is taken. The combined cooling is specifically: internal cooling is carried out by perfusing low-temperature normal saline through a gastric tube. In this embodiment, 200 mL of low-temperature normal saline is perfused each time at an interval of 10 minutes; at the same time, the trunk is wrapped with an ice blanket and surface cooling is carried out through cold air circulation;

[0180] StepU2, Calculation of regulation parameters:

[0181] According to the comprehensive body temperature T Z and the comprehensive heat stress index Z R , determine the dynamically adjusted cooling intensity parameter K;

[0182] The formula is: K = α1×(T Z -T1)+α2×(Z R -R1)

[0183] In the formula, α1 is the preset body temperature deviation coefficient, and α2 is the preset environmental compensation coefficient;

[0184] In this embodiment, the value of α1 is 0.5 and the value of α2 is 0.3;

[0185] When K≤1, a regulation instruction corresponding to natural heat dissipation is generated;

[0186] When 1<K≤3, a regulation instruction corresponding to physical cooling is generated;

[0187] When K>3, a regulation instruction corresponding to medical cooling is generated;

[0188] Among them:

[0189] The natural heat dissipation control instructions include: increasing ventilation, reducing the ambient temperature, and reducing solar radiation;

[0190] In this embodiment: The applicable scenarios of the natural heat dissipation control instructions: mild heat stress state, low or medium grade heat stress environment;

[0191] The physical cooling control instructions include: ice application on the body surface, evaporative cooling, cold water immersion;

[0192] In this embodiment: The applicable scenarios of the physical cooling control instructions: moderate heat stress state, medium or high grade heat stress environment;

[0193] The medical cooling control instructions include: intravenous hypothermic infusion, gastric tube perfusion with cold normal saline;

[0194] In this embodiment: The applicable scenarios of the medical cooling control instructions: severe heat stress state, high grade heat stress environment;

[0195] In Embodiment 3, a body temperature control unit is added on the basis of the previous embodiments, and a dynamic body temperature control strategy is formulated according to the comprehensive body temperature of heat stroke patients and the environmental heat stress level. For different environmental heat stress levels and patient body temperature states, corresponding control measures are detailedly formulated. For example, in a low grade heat stress environment, maintenance, natural heat dissipation or active cooling measures are respectively taken according to different patient body temperature states; in a medium grade heat stress environment, from pre-cooling to superimposed evaporative cooling to whole body cold water immersion, etc.; in a high grade heat stress environment, combined cooling measures are taken. At the same time, the cooling intensity parameter K adjusted dynamically is calculated by a formula, and different types of control instructions are generated according to the K value, covering natural heat dissipation, physical cooling, and medical cooling, providing a comprehensive and highly targeted solution for the body temperature control of heat stroke patients in different scenarios, effectively improving the accuracy and effectiveness of the body temperature control of heat stroke patients, and improving the treatment effect of heat stroke.

[0196] Embodiment 4

[0197] Please refer to Figure 1 As shown in the figure, as Embodiment 4 of the present invention, in the specific implementation of this application, compared with Embodiment 1, Embodiment 2, and Embodiment 3, the technical solution of this embodiment lies in combining and implementing the solutions of the above-mentioned Embodiment 1, Embodiment 2, and Embodiment 3.

[0198] Example 4 combines the solutions of Examples 1, 2, and 3, with comprehensive and accurate collection of body temperature and environmental information, scientific heat stress assessment and early warning, and targeted body temperature regulation strategies. It can manage heatstroke patients from multiple dimensions, comprehensively improving the monitoring, assessment, early warning, and body temperature regulation capabilities for heatstroke patients, providing a complete, efficient, and accurate system solution for the diagnosis, treatment, and prevention of heatstroke, maximizing the health and safety of heatstroke patients, and effectively increasing the success rate of heatstroke treatment.

[0199] Please refer to Figure 2 as shown. The present invention also provides a heatstroke body temperature management method, which is implemented through a heatstroke body temperature management system. The method includes the following steps:

[0200] First step, data monitoring:

[0201] Real-time collect the body temperature information of heatstroke patients and the environmental information of the environment where the heatstroke patients are located;

[0202] Second step, processing and analysis:

[0203] Perform fusion processing on the body temperature information, then determine the internal temperature and surface temperature of the heatstroke patient, and then calculate the comprehensive body temperature of the heatstroke patient based on them; at the same time, conduct heat stress analysis based on the environmental information and obtain the comprehensive heat stress index;

[0204] Third step, assessment and early warning:

[0205] Determine the body temperature status of the heatstroke patient based on the comprehensive body temperature, and at the same time determine the heat stress level of the environment based on the comprehensive heat stress index, and then issue an early warning based on the body temperature status and heat stress level;

[0206] Fourth step, body temperature regulation:

[0207] Formulate a dynamic body temperature regulation strategy based on the comprehensive body temperature of the heatstroke patient and the environmental heat stress level, and output the corresponding regulation instructions.

[0208] All the above formulas are calculated by taking the numerical values after dimensionlessization. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the real situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0209] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claimed rights.

Claims

1. A heat stroke body temperature management method, characterized in that, It includes the following steps: Data monitoring: Real-time collection of the body temperature information of heatstroke patients and the environmental information of the environment where the heatstroke patients are located; Processing and analysis: Conduct fusion processing on the body temperature information, then determine the internal temperature and surface temperature of the heatstroke patient, and then calculate the comprehensive body temperature of the heatstroke patient based on them; At the same time, conduct heat stress analysis based on the environmental information and obtain the comprehensive heat stress index; Evaluation and early warning: Determine the body temperature status of the heatstroke patient based on the comprehensive body temperature, and at the same time determine the heat stress level of the environment based on the comprehensive heat stress index, and then conduct early warning based on the body temperature status and heat stress level.

2. The method for thermoregulation of heat stroke according to claim 1, wherein, The fusion processing method is as follows: Extract the temperatures of multiple key parts and calculate their average value, and then record this average value as the body temperature T N ; At the same time, extract the temperatures of different regions on the body surface and calculate their average value, and then record this average value as the surface temperature Ts B ; Followed by: T Z = T N ×β N + T B ×β B ; Calculate the comprehensive body temperature T of heat stroke patients Z ; Wherein, β N and β B are respectively weight coefficients preset corresponding to the internal temperature and the body surface temperature; and β N +β B = 1.

3. The thermoregulation method for heat stroke according to claim 2, characterized in that, The heat stress analysis method is as follows: StepR1. First, normalize the environmental temperature, environmental humidity, wind speed, and solar radiation intensity in the environment where the heatstroke patient is located in real time, and obtain the normalized environmental temperature, environmental humidity, wind speed, and solar radiation intensity; StepR2. Substitute the normalized values of the normalized environmental temperature, environmental humidity, wind speed, and solar radiation intensity into the comprehensive heat stress index formula: Z R = HT1 × γ HT + HS1 × γ HS + F1 × γ F + Q1 × γ Q Calculate the comprehensive heat stress index Z R ; wherein HT1, HS1, F1, and Q1 are the normalized environmental temperature, environmental humidity, wind speed, and solar radiation intensity, respectively, and γ HT , γ HS , γ F , and γ Q are the weight coefficients preset corresponding to the environmental temperature, environmental humidity, wind speed, and solar radiation intensity, respectively; and γ HT +γ HS +γ F +γ Q = 1.

4. The thermoregulation method for heat stroke according to claim 3, characterized in that The method for determining the body temperature status is as follows: Compare the comprehensive body temperature T Z with the preset body temperature thresholds T1, T2, and T3, and then determine the body temperature status of the heat stroke patient; where T1 < T2 < T3; When T Z ≤ T1, it is determined that the heat stroke patient is in a normal body temperature state; When T1 < T Z ≤ T2, it is determined that the patient with heat stroke is in a mild heat stress state; When T2 < T Z ≤ T3, it is determined that the patient with heat stroke is in a moderate heat stress state; When T Z > T3, it is determined that the heat stroke patient is in a severe heat stress state.

5. The thermoregulation method for heat stroke according to claim 4, wherein The method for determining the environmental heat stress level is as follows: Compare the comprehensive heat stress index Z R with the pre-set heat stress index thresholds R1 and R2: Wherein, R1 < R2; When Z R <R1, it is positioned as a low-level thermal stress environment; When R1 ≤ Z R < R2, it is positioned as a medium-level thermal stress environment; When Z R ≥ R2, it is defined as a high-level thermal stress environment.

6. The thermoregulation method for heat stroke according to claim 5, characterized in that, The early warning method in the evaluation and early warning step is as follows: When the heatstroke patient is in a mild heat stress state, or the current environment is in a medium-level heat stress environment, a primary early warning signal is generated; When the heatstroke patient is in a moderate heat stress state, or the current environment is in a high-level heat stress environment, a secondary early warning signal is generated; When the heatstroke patient is in a severe heat stress state, a high-level early warning signal is generated.

7. A method for thermoregulation of heat stroke according to claim 5, characterized in that, It also includes a body temperature regulation step, which outputs corresponding regulation instructions according to the comprehensive body temperature of the heatstroke patient and the environmental heat stress level.

8. The thermoregulation method for heat stroke according to claim 7, wherein, The output method of the regulation instructions is as follows: According to the comprehensive body temperature T Z and the comprehensive heat stress index Z R , determine the dynamically adjusted cooling intensity parameter K; Its formula is: K = α1×(T Z - T1) + α2×(Z R - R1); In the formula, α1 is a preset body temperature deviation coefficient, and α2 is a preset environmental compensation coefficient; When K ≤ 1, the regulation instructions corresponding to natural heat dissipation are generated; When 1 < K ≤ 3, the regulation instructions corresponding to physical cooling are generated; When K > 3, the regulation instructions corresponding to medical cooling are generated.

9. The thermoregulation method for heat stroke according to claim 8, wherein, The natural heat dissipation regulation instructions include: increasing ventilation, reducing the environmental temperature, and reducing solar radiation; The physical cooling regulation instructions include: ice application on the body surface, evaporative cooling, and cold water immersion; The medical cooling regulation instructions include: intravenous hypothermic infusion, gastric tube perfusion of hypothermic normal saline.

10. A heat stroke body temperature management system, characterized in that, This system is used to execute a heatstroke body temperature management method described in any one of claims 1-9, and this method includes: A body temperature monitoring module, which is used to collect the body temperature information of heatstroke patients; the body temperature information includes: measuring the temperatures of multiple key parts in the patient's body through a thermistor array; measuring the temperatures of different regions on the body surface through a multispectral body surface temperature sensor; An environmental monitoring module, which is used to collect the environmental information of the environment where the heatstroke patient is located in real time; the environmental information includes environmental temperature, humidity, wind speed, and solar radiation intensity; A data processing module, which is used to conduct fusion processing on the body temperature information, then determine the internal temperature and surface temperature of the heatstroke patient, and then calculate the comprehensive body temperature of the heatstroke patient based on them; An environmental analysis module, which is used to conduct heat stress analysis based on the environmental information and obtain the comprehensive heat stress index; An evaluation and early warning module, which is used to determine the body temperature status of heat stroke patients based on the comprehensive body temperature, and at the same time determine the heat stress level of the environment based on the comprehensive heat stress index, and then issue an early warning based on the body temperature status and the heat stress level; A body temperature regulation unit, which is used to formulate a dynamic body temperature regulation strategy based on the comprehensive body temperature of heat stroke patients and the environmental heat stress level, and output the corresponding regulation instructions.

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