Efficient regulation and control system and method for plateau low-oxygen environment damage

Abstract

The invention discloses an efficient regulation and control system and method for plateau low-oxygen environment damage, and relates to the technical field of human body low-oxygen damage analysis, detection and regulation and control, and the system comprises a data monitoring module, a signal screening module, a decision oxygen distribution module and a monitoring interaction module; the data monitoring module is used for acquiring a physiological state related to the plateau hypoxia adaptive capacity in real time; acquiring physiological data with high modeling value through an optimization algorithm by using a signal screening module based on test data, and constructing a discrete state space model of a physiological state; an oxygen distribution concentration decision is determined through a predictive control algorithm by utilizing a decision oxygen distribution module, so that oxygen supply regulation and control are realized; and the monitoring interaction module is used for storing, recording and displaying data, issuing an alarm and predicting dangerous conditions. Therefore, by means of the method, effective oxygen supply, blood oxygen dynamic monitoring and real-time alarming can be achieved, and health and safety of individuals in oxygen-deficient environments such as high-altitude areas and the like are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of analysis, detection and regulation of human hypoxia damage, and in particular to a high-efficiency regulation system and method for plateau hypoxia damage. Background Art

[0002] Hypoxic environments are harmful to the human body in many ways, especially in high altitude areas and certain special places. Long-term exposure to hypoxic conditions can cause abnormalities in multiple physiological functions, and even threaten life safety in severe cases. Hypoxia damage to the human body shows a complex physiological response process, including but not limited to decreased cardiopulmonary function, insufficient tissue oxygen supply, metabolic disorders, etc. These problems will cause the body to produce a series of physiological stress responses, and over time, more serious chronic health problems may occur, such as high-altitude heart disease and chronic hypoxic encephalopathy. Therefore, in view of the impact of hypoxic environments on human health, establishing an accurate injury model and effectively regulating it is of vital importance to ensure human health in hypoxic environments.

[0003] At present, the medical community has a certain degree of understanding of hypoxic injury and has gradually established a corresponding theoretical framework. For example, through data-driven modeling methods combined with biosignal monitoring technology, the physiological state of individuals in hypoxic environments can be tracked in real time, such as important indicators such as blood oxygen saturation, heart rate, and respiratory rate. These data can be used to establish a dynamic model of hypoxic injury, assess the health risks faced by individuals, and effectively intervene through control strategies. Based on real-time monitoring data and combined with artificial intelligence technology, the individual's oxygen supply, environmental conditions, etc. can be adjusted in real time to minimize the negative impact of hypoxia on the body, thereby reducing the risk of chronic diseases and improving physiological adaptability. In addition, the study of hypoxic injury models can also be applied to the health management of special groups such as pilots, alpine athletes, and permanent residents in plateau areas, helping them to better adapt to hypoxic environments and prevent diseases caused by hypoxia. Through precise modeling and regulation, the physiological adaptability in hypoxic environments can be greatly improved, the life safety and health level of individuals can be guaranteed, and a wider range of social benefits can be achieved.

[0004] However, the existing hypoxia injury model is based on the learning of a large number of physiological signals, but it cannot achieve the desired effect in practical application. This is because the process noise generated by the complexity and uncertainty of the physiological system is difficult to control and analyze, and it is extremely resource-consuming. In addition, the existing system modeling method does not consider the value of the data itself, resulting in the increase in data volume cannot guarantee a direct improvement in modeling accuracy. Therefore, considering the power consumption and computing resource constraints of wearable devices, it is particularly important to design a lightweight and efficient injury modeling method.

[0005] On the other hand, in order to cope with the damage of plateau hypoxia to the body, relevant studies have proposed effective methods for regulation through oxygen-rich environments. However, due to the large individual differences in hypoxic damage, precise regulation of hypoxic environments still faces challenges. In addition, existing control and regulation methods are all based on open-loop structures for oxygen delivery. For example, when the hypoxic reaction is more intense, oxygen cylinders are used for active inhalation, or low-oxygen training devices are used for high-concentration oxygen supply in the preset oxygen-rich mode. Although this method can achieve oxygen regulation to a certain extent, it lacks an overall assessment and prediction of future trends in blood oxygen level changes. It is difficult to intervene to maximize benefits in a plateau environment with limited resources, and it is also difficult to ensure the optimality of blood oxygen control effects.

[0006] Therefore, how to design an intelligent oxygen supply system based on predictive control technology based on the particularity of the plateau environment is a problem worthy of in-depth research. This will not only help improve the accuracy of blood oxygen control, but also achieve more efficient health intervention and ensure individual life safety and health level through reasonable resource allocation and control strategies in the complex and dynamic plateau environment. Summary of the invention

[0007] The purpose of the present invention is to provide an efficient control system and method for plateau hypoxic environmental damage, which can address the problems of limited oxygen in high altitude areas, bulky oxygen supply equipment, lack of blood oxygen level trend estimation, etc.

[0008] To achieve the above object, the present invention provides a highly efficient control method for plateau hypoxic environmental damage, comprising the following steps:

[0009] S1. Use portable wearable devices to obtain real-time physiological status related to plateau hypoxia adaptability through photoplethysmography;

[0010] S2. Build a discrete state space model based on physiological indicators, conduct preliminary tests on the state of the human body in different environments, obtain test data for the entire cycle, and determine the screening vector through an optimization algorithm to obtain physiological data with high modeling value;

[0011] S3. Based on the physiological status acquired in real time, the oxygen concentration decision is determined through the predictive control algorithm, and the oxygen storage device or oxygen enrichment technology is used for regulation;

[0012] S4. Based on the real-time monitored physiological status, oxygen concentration and oxygen distribution decision, the monitoring interaction module stores, records and displays them, and issues alarms for abnormal situations to prompt manual intervention, check equipment and troubleshoot problems.

[0013] Preferably, the screening vector is determined by an optimization algorithm as follows:

[0014]

[0015] st1 T z=Nf

[0016] In the formula, X t (z), U t (z) are respectively the physiological state data matrix and the control input oxygen concentration data matrix obtained under the screening vector z, Denoted as matrix The minimum singular value of is a vector whose elements are all 1.

[0017] Preferably, the optimization algorithm includes using a heuristic optimization algorithm to find a suboptimal solution and then screening the overall physiological data.

[0018] Preferably, the predictive control algorithm determines the oxygen concentration decision, including:

[0019] Set the optimization step size to T f , and solve the oxygen distribution optimization problem to determine the optimal control parameters, that is, the oxygen distribution decision, as follows:

[0020]

[0021] stx0=x ini

[0022]

[0023] x k ∈X,k∈{0,1,…,T f}

[0024] u k ∈U,k∈{0,1,…,T f -1

[0025] In the formula ||x k -r|| Q =(x k -r) T Q(x k -r), r is the expected level of healthy physiological indicators, x k is the state vector of physiological indicators at time k, u k is the control input oxygen concentration vector at time k, x ini is the initial state vector of the human body at the beginning of regulation, For X t (z), U t (z) The corresponding physiological state response, Q and R are the weight matrices assigned to the deviation between the physiological state and the expected value and the oxygen supply concentration during the regulation process, represents the generalized inverse matrix, X and U are the safety constraints on the controllable inputs of the corresponding physiological states.

[0026] An efficient control system for plateau hypoxia damage, comprising:

[0027] The data monitoring module is used to obtain physiological data related to plateau adaptation ability in real time through monitoring equipment, and to transmit data with the monitoring interaction module and the decision-making oxygen distribution module;

[0028] The signal screening module is used to obtain a series of physiological data with high modeling value and use them as basic data for the decision-making oxygen distribution module;

[0029] The decision-making oxygen distribution module is used to efficiently model the human hypoxia injury pattern and generate oxygen distribution concentration decisions through predictive control algorithms using real-time monitored physiological data, safety and resource constraints;

[0030] The monitoring interaction module is used to record, store and display the signal information obtained by the decision-making oxygen distribution module and the data monitoring module, set the control targets and parameters, and alarm for abnormal physiological states, prompt and predict dangerous situations.

[0031] Preferably, the monitoring interaction module is integrated into a mobile terminal, including a computer and a mobile phone.

[0032] Preferably, the monitoring interaction module is communicatively connected with the data monitoring module, the signal screening module, and the decision-making oxygen distribution module via wireless or wired communication technology.

[0033] Therefore, the present invention adopts the above-mentioned high-altitude hypoxic environment damage efficient control system and method, which has the following technical effects:

[0034] (1) The data monitoring module is dedicated to measuring the physiological state of the human body in plateau environments. It integrates multiple relevant physiological indicators including blood oxygen saturation, heart rate, blood pressure, etc. It can be embedded in wearable devices such as bracelets without interfering with normal life.

[0035] (2) The signal screening module can use the predictive control algorithm to screen out signal sequences with high modeling value from a large amount of measurement data, reduce the memory occupied by basic data, reduce the computational complexity of the predictive control algorithm, and improve the control performance of the decision-making oxygen distribution module.

[0036] (3) The oxygen distribution decision module uses real-time physiological data and basic data obtained by the data screening module to achieve efficient modeling of hypoxic injury patterns and intelligent decision-making on optimal oxygen uptake, avoiding the modeling process of complex physiological models and fully considering the blood oxygen regulation performance in the full time domain. At the same time, it provides an oxygen supply intervention strategy with the greatest benefit based on autonomous consideration of additional constraints such as physiological limits and oxygen capacity.

[0037] (4) Through the monitoring interaction module, the sub-modules can communicate with each other, realize the storage, utilization and sharing of large amounts of information, create an individualized physiological database, and realize health monitoring and alarm for plateau residents.

[0038] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of an efficient regulatory system for plateau hypoxic environmental damage;

[0040] Figure 2 It is a flow chart of an efficient regulation method for plateau hypoxic environment damage. DETAILED DESCRIPTION

[0041] The present invention can be explained in more detail by the following examples. The purpose of disclosing the present invention is to protect all changes and improvements within the scope of the present invention. The present invention is not limited to the following examples.

[0042] like Figure 1 As shown, the present invention provides an efficient control system for plateau hypoxia damage, comprising:

[0043] The data monitoring module uses wearable physiological signal monitoring devices including wristbands and finger clips to monitor continuous physiological data related to plateau adaptability, such as blood oxygen saturation and heart rate.

[0044] The signal screening module runs the corresponding data screening algorithm based on the data obtained by the data monitoring module to obtain a series of physiological data with high modeling value as the basic data of the predictive control algorithm.

[0045] The decision-making oxygen distribution module efficiently models the human body's hypoxia injury pattern based on the basic data screened out by the signal screening module. Based on the real-time physiological monitoring data and safety and resource constraints obtained by the data monitoring module, it combines the established model to run the corresponding predictive control algorithm, and uses oxygen storage or oxygen collection technologies such as oxygen tanks to provide oxygen to achieve oxygen distribution concentration decisions.

[0046] The monitoring interaction module is integrated into mobile terminals such as mobile phones and computers. Through wireless or wired communication technology, it can store, record and display the monitored physiological signals, decision signals, and oxygen concentration signals, set control targets and parameters, and generate alarms based on real-time physiological status to prompt and predict dangerous situations.

[0047] like Figure 2 As shown, the present invention provides an efficient control method for plateau hypoxic environment damage, comprising the following steps:

[0048] S1. Use portable wearable devices such as wristbands, heart rate belts, and brackets to obtain continuous physiological data related to the ability to adapt to plateau hypoxia, such as blood oxygen saturation and heart rate.

[0049] Photoplethysmography (PPG) is a widely used physiological signal detection method that can perform non-invasive measurements of a variety of physiological parameters. Specifically, the detection device is embedded with an LED light source. When data needs to be detected, the light source will be directed to the skin of the measured part, such as the fingertips, earlobes, nose tips, etc. Since the amount of light absorption varies with the change of the substance, the light is absorbed to varying degrees by each tissue, and the reflected light is received by the photosensor and converted into an electrical signal. After analog-to-digital conversion, it is decomposed into a DC component related to blood flow and an AC component related to pulsation. Among them, the AC component is mainly caused by the change in blood flow and its components (such as hemoglobin, etc.) in the blood vessels caused by the heart beat, which leads to changes in light absorption. Processing and calculating the AC signal can achieve the measurement of different physiological signals. Therefore, through PPG technology, blood oxygen saturation and heart rate can be measured as follows:

[0050] (1) Measurement of blood oxygen saturation: The hemoglobin content in red blood cells is closely related to blood oxygen saturation and affects the degree of light absorption by the blood. The PPG technology detects the intensity of light emitted after being absorbed by human tissues. By using the difference in the light absorption coefficients of oxygenated hemoglobin and reduced hemoglobin at different wavelengths, combined with the Beer-Lambert optical law, the oxygen content of the blood can be estimated and the soft measurement of blood oxygen saturation can be completed.

[0051] (2) Measurement of heart rate: The change signal of the peripheral microvascular arterial blood volume fluctuation presents a periodic characteristic. The heart rate mainly corresponds to the period of the pulse wave. The PPG signal is analyzed and filtered in the time domain. The number of heart beats per minute can be obtained based on the number of peaks.

[0052] S2. For the physiological model, the discrete state space model is adopted in this embodiment, as follows:

[0053] x k+1 =Ax k +Bu k +w k ;

[0054] In the formula, x k is the state vector composed of the measured physiological indicators such as human blood oxygen saturation and heart rate signal at time k, u k is the control input oxygen concentration at time k, w k is the process noise at time k.

[0055] Taking into account the differences between individuals, the basic data corresponding to the physiological system model needs to be personalized for different individuals and at different times. Therefore, before the actual adjustment process begins, it is necessary to conduct simple tests on the human body in different environments. Set the test step length to N according to the actual situation. t , the basic signal length is N f , where N f ≤N t , the initial state vector of the human body is The oxygen concentration sequence is The corresponding human physiological state sequence is The data obtained during the entire test cycle is recorded in the following matrix form Where X t , U t Represent the physiological state matrix and oxygen concentration matrix respectively. Indicates that X t , U t The corresponding physiological state response matrix.

[0056] At the same time, set the 0 / 1 vector, that is, the screening vector z:

[0057]

[0058] In the formula, z i ∈{0,1}, where there is only N f elements that are 1. i =1 represents the data group was selected into the basic data, otherwise it means it was not selected. Let X t (z),U t (z), They represent the data matrices that are screened out under the screening vector z. For example, let If the value is 1,

[0059] The screening vector is achieved by solving the following 0 / 1 optimization problem:

[0060]

[0061] st1 T z=N f

[0062] In the formula, Denoted as matrix The minimum singular value of And all elements are 1.

[0063] Considering that the traversal method may take a long time to calculate and is difficult to implement when the amount of data is large, a heuristic optimization algorithm such as a greedy algorithm or a particle swarm algorithm can be preferred to solve the suboptimal solution in an approximate way, screen all the data, and pass the basic data to the subsequent decision-making oxygen distribution module, so that it can use a small amount of data to model the human body's hypoxia injury pattern to complete the oxygen supply decision and achieve effective oxygen concentration regulation.

[0064] S3. According to the physiological state indicated by the data monitoring module, the corresponding oxygen supply control algorithm is run, and oxygen storage equipment or oxygen enrichment technology is used in combination with oxygen distribution equipment such as a breathing mask to implement the oxygen distribution decision set by the algorithm, as follows:

[0065] Set the optimization step size to T f , the optimal control parameters for each step can be obtained by solving the following optimization problem:

[0066]

[0067] stx0=x ini

[0068]

[0069] x k ∈N,k∈{0,1,…,T f}

[0070] u k ∈U,k∈{0,1,…,T f -1}

[0071] In the formula r is the expected level of healthy physiological indicators, x ini is the initial state vector of the human body at the beginning of regulation; ||x k -r|| Q 、||u k || R Respectively represent (x k -r) T Q(x k -r) and Among them, Q and R are the weight matrices assigned to the deviation between the physiological state and the expected value and the oxygen supply concentration during the regulation process; represents the generalized inverse matrix; X and U are the safety constraints on the controllable input of the physiological state.

[0072] After the optimization is completed, the optimal input sequence is recorded as This input sequence represents the optimal choice for future oxygen distribution decisions at the current moment. However, due to the online update of the algorithm, the input at future moments will be determined by the new optimal input sequence calculated at future moments. Therefore, the current oxygen distribution decision is The remaining parameters are not used. Under plain conditions, the gas mixing ratio can be used to make decisions By writing the control algorithm into the microcontroller unit, the conduction state of the gas pipeline is manipulated to achieve the ratio adjustment of oxygen-rich gas. For the plateau environment with thin oxygen, molecular sieve oxygen production technology can be used to provide oxygen. Zeolite molecular sieve is used as the adsorbent, and pressure swing adsorption technology is used to adsorb air as raw material during the pressure increase stage, and then the pressure is reduced to separate oxygen and nitrogen, and medical high-purity oxygen is obtained through pressure circulation. It is then stored in oxygen storage equipment and combined with oxygen distribution equipment to achieve decision-making

[0073] S4. Utilize the monitoring interaction module integrated in mobile terminals such as mobile phones and computers to store, record and display the monitored physiological signals, decision signals, oxygen concentration signals and other information through wired or wireless communication technology, provide the function of setting the expected state, and generate alarms based on the real-time physiological state to prompt and predict dangerous situations.

[0074] Considering the mobility of the usage scenario and the communication requirements in a smaller range, Bluetooth technology can be used to achieve near-field data transmission and exchange, including the data monitoring module transmitting real-time physiological data and the decision-making oxygen distribution module transmitting oxygen supply decisions and oxygen distribution concentrations. In addition, in order to make it easy to view the data of the human body and the oxygen supply system, the monitoring and interaction module needs to have a display and interactive interface, dynamically monitor and display the current vital signs parameters, provide an interface for setting the expected control range, and generate an alarm to remind human intervention when the human body or the oxygen supply system is abnormal. The alarm needs to do the following: prompt the situation where the physiological signal exceeds the safety threshold; prompt the situation that violates the preset safety constraints in the controller during the operation of the processing system; and prompt the situation where the main processing equipment is abnormal or suddenly disconnected. When an alarm occurs, the closed-loop system should be closed in time, the safe oxygen supply should be provided manually, the equipment should be checked, and the problem should be solved.

[0075] Therefore, the present invention adopts the above-mentioned efficient regulation system and method for plateau hypoxic environmental damage, which has the integrated functions of continuous monitoring, dynamic evaluation and closed-loop intervention, can realize effective oxygen supply, dynamic monitoring of blood oxygen and real-time alarm, and ensure the health and safety of individuals in hypoxic environments such as high altitude areas.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. An efficient control method for plateau hypoxic environment damage, characterized in that: The following steps are involved: S1. Use portable wearable devices to obtain real-time physiological status related to plateau hypoxia adaptability through photoplethysmography; S2. Manually configure the oxygen concentration, conduct preliminary tests on the changes in the physiological state of the human body under different oxygen concentrations, obtain the "physiological state-oxygen concentration" test data of the entire cycle, and determine the screening vector through the optimization algorithm to obtain physiological data with high modeling value, and then build a state space model for the physiological state; S3. Based on the physiological status acquired in real time, the oxygen concentration decision is determined through the predictive control algorithm, and the oxygen storage device or oxygen enrichment technology is used for regulation; S4. Based on the real-time monitored physiological status, oxygen concentration and oxygen distribution decision, the monitoring interaction module stores, records and displays them, and issues alarms for abnormal situations to prompt manual intervention, check equipment and troubleshoot problems.

2. The high-efficiency control method for plateau hypoxic environmental damage according to claim 1, characterized in that: The screening vector is determined by the optimization algorithm as follows: In the formula, X t (z), U t (z) are respectively the physiological state data matrix and the control input oxygen concentration data matrix obtained under the screening vector z, Denoted as matrix The minimum singular value of is a vector whose elements are all 1.

3. The high-efficiency control system and method for plateau hypoxia damage according to claim 1, characterized in that: The optimization algorithm includes using a heuristic optimization algorithm to find a suboptimal solution and then screening the overall physiological data.

4. The high-efficiency control method for plateau hypoxic environmental damage according to claim 1, characterized in that: The predictive control algorithm determines oxygen concentration decisions, including: Set the optimization step size to T f , and solve the oxygen distribution optimization problem to determine the optimal control parameters, that is, the oxygen distribution decision, as follows: s.t.x0=x ini x k ∈X,k∈{0,1,…,T f } u k ∈U,k∈{0,1,…,T f -1} In the formula r is the expected level of healthy physiological indicators, x k is the state vector of physiological indicators at time k, u k is the control input oxygen concentration vector at time k, x ini is the initial state vector of the human body at the beginning of regulation, For X t (z), U t (z) The corresponding physiological state response, Q and R are the weight matrices assigned to the deviation between the physiological state and the expected value and the oxygen supply concentration during the regulation process, represents the generalized inverse matrix, X and U are the safety constraints on the controllable inputs of the corresponding physiological states.

5. An efficient control system for plateau hypoxia damage, characterized in that: include: The data monitoring module is used to obtain physiological data related to plateau adaptation ability in real time through monitoring equipment, and to transmit data with the monitoring interaction module and the decision-making oxygen distribution module; The signal screening module is used to obtain a series of physiological data with high modeling value and use them as basic data for the decision-making oxygen distribution module; The decision-making oxygen distribution module is used to efficiently model the human hypoxia injury pattern and generate oxygen distribution concentration decisions through predictive control algorithms using real-time monitored physiological data, safety and resource constraints; The monitoring interaction module is used to record, store and display the signal information obtained by the decision-making oxygen distribution module and the data monitoring module, set the control targets and parameters, and alarm for abnormal physiological states, prompt and predict dangerous situations.

6. The high-efficiency control system for plateau hypoxia damage according to claim 5, characterized in that: The monitoring interaction module is integrated into mobile terminals, including computers and mobile phones.

7. The high-efficiency control system for plateau hypoxia damage according to claim 5, characterized in that: The monitoring interaction module is connected to the data monitoring module, the signal screening module, and the decision-making oxygen distribution module through wireless or wired communication technology.

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