A method for precision medical service support personnel vulnerability analysis
By constructing a human injury spectrum and multiple injury models, the problem of inaccurate medical supply forecasting in medical support was solved, achieving precise medical support data support and improving the scientificity and accuracy of medical resource allocation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NAT UNIV OF DEFENSE TECH
- Filing Date
- 2024-01-16
- Publication Date
- 2026-06-05
AI Technical Summary
Existing medical support methods rely on experience and subjective judgment, leading to inaccurate estimates of medical supplies and an inability to scientifically and rationally support wartime medical needs.
We construct human injury spectrum and various injury models, including projectile, thermal, shock wave and impact vibration injury models. Through calculation and mapping relationships, we obtain the vulnerability distribution law, conduct personnel vulnerability analysis, and accurately predict the injury location, probability and severity.
It has improved the accuracy and scientific nature of medical support data, provided precise data support, ensured the rational allocation of medical resources, and reduced waste and casualties.
Smart Images
Figure CN117912650B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of medical support technology, specifically to a method for analyzing personnel vulnerability for precise medical support. Background Technology
[0002] Medical support, also known as "medical assistance," primarily involves providing healthcare and disease prevention services to military personnel during peacetime to reduce morbidity. In wartime, it requires treating the wounded and sick as much as possible, maximizing recovery and return to duty, and minimizing disability and mortality rates. Therefore, preparing sufficient medical supplies before wartime is crucial. However, preparing too many medical supplies will result in significant financial costs for unused supplies, transportation, and storage; conversely, preparing too few supplies may lead to unnecessary casualties.
[0003] Currently, medical support work typically employs methods such as experience-based methods, command-led decision-making, and war game simulations to estimate the required medical supplies. Based on these estimates, the necessary quantities of surgical instruments, types and quantities of medicines, and personnel for different specialties are prepared before the station. These methods rely heavily on human experience, resulting in unstable estimates and low accuracy. Summary of the Invention
[0004] To address the shortcomings of existing technologies, this invention proposes a method for personnel vulnerability analysis for precise medical support, which can provide more scientific, reasonable and accurate data support for medical support and improve the accuracy of medical support data.
[0005] Target analysis: Divide the human body into parts according to human function or occupational function; establish a human injury spectrum based on each part of the body; the human injury spectrum stores the correspondence between the injured part, injury type, injury characteristics, injury score and injury severity.
[0006] Damage models are constructed: the various damage models include projectile damage model, thermal damage model, shock wave damage model and impact vibration damage model;
[0007] Constructing mapping relationships under various working conditions: Calculating physical and functional damage under preset impact conditions based on damage models;
[0008] Obtain the vulnerability distribution pattern: Based on the human injury spectrum and injury model, conduct personnel vulnerability analysis to obtain the vulnerability distribution pattern, as well as the statistical results under preset impact conditions.
[0009] Furthermore, various damage models include projectile damage models, which include:
[0010] The projectile's surface area is obtained based on the projectile's mass, velocity, time, tissue density, viscosity of the liquid layer near the projectile, thickness of the liquid layer near the projectile, tissue strength, and fitting coefficient.
[0011] The penetration depth of the projectile is determined by the area of the projectile.
[0012] Furthermore, the projectile's surface area is obtained, including:
[0013] Through calculation Get the area of the projectile;
[0014] In the above formula, m is the projectile mass, v is the projectile velocity, t is the first damage time, ρ is the tissue density, A is the projectile surface area, φ is μ / I, μ is the viscosity of the liquid layer close to the projectile, I is the thickness of the liquid layer close to the projectile, S is the tissue strength, and g D g V g S The fitting coefficients are denoted as .
[0015] Furthermore, various damage models, including thermal damage models, are available.
[0016] The heat flux is obtained based on the distance from the measuring point to the explosion source, the temperature of the explosion fireball, the equivalent TNT, the first thermal damage coefficient, and the second thermal damage coefficient.
[0017] Furthermore, obtaining heat flux includes:
[0018] Through calculation Obtain heat flux;
[0019] In the above formula, q represents the heat flux, with units of W / m³. 2 r is the distance from the measuring point to the explosion source, in meters (m), and T is the fireball temperature, in Kelvin (K) or W. q The equivalent TNT is expressed in kg. K1 is the first thermal damage coefficient, and K2 is the second thermal damage coefficient.
[0020] Furthermore, various damage models are included, such as shock wave damage models, which include:
[0021] Obtain the normalized work in any direction; the normalized work is the physical representation of the impact of the shock wave on the lungs.
[0022] Based on the normalized work in the three directions, obtain the sum of the normalized work values in the three directions.
[0023] Furthermore, vulnerability analysis of individuals is conducted based on human injury spectrum and injury models, including:
[0024] Impact vibration damage models include:
[0025] Based on the age of the person, the force on the fibula of the lower limb, and the ankle injury coefficient, the probability of ankle injury is obtained.
[0026] The probability of tibial fracture is obtained based on axial force on the tibia, load loading rate, and person's weight.
[0027] The probability of spinal injury in a person is obtained based on the maximum relative displacement, natural frequency, and gravitational acceleration.
[0028] Furthermore, vulnerability analysis of individuals is conducted based on human injury spectrum and injury models, including:
[0029] Damage characteristics are obtained based on each damage model;
[0030] Based on the characteristics of each injury, the severity of each injury type is obtained by searching the human injury spectrum.
[0031] Based on damage simulation data of various attack types, the probability of personnel being damaged under various damage types is obtained;
[0032] Based on the total number of people simulated and the probability of each person being injured, the number of people injured is obtained;
[0033] The extent of functional loss in individuals is determined based on injury characteristics and mapping relationships;
[0034] The vulnerability distribution pattern is determined based on the degree of functional loss, the number of people injured, and the severity of the injury.
[0035] Furthermore, based on damage simulation data for various attack types, the probability of personnel being injured under multiple damage types is obtained, including:
[0036] Based on the damage simulation data of the shock wave type, the normalized work in each direction is obtained; the normalized work is used to characterize the physical characteristics of the shock wave on the lungs.
[0037] Based on the normalized work in each direction, obtain the sum of the normalized work values in the three directions;
[0038] The probability of lung damage in individuals affected by shock waves is obtained by summing the normalized work values in the three directions.
[0039] Furthermore, to obtain the probability of lung damage in individuals affected by shockwaves, including:
[0040] Through calculation Obtain the probability of lung damage in individuals affected by shockwaves of different types;
[0041] In the above formula, W * For normalized work in a single direction, A e V0 is the equivalent chest wall area, γ is the lung volume, and p is the multivariate gas index. av' is the intrapulmonary gas pressure before the shock wave, v' is the chest movement velocity, t' is the second injury time, ρ' is the intrapulmonary air density, c0 is the intrapulmonary sound speed, and f f f is the anterior chest wall proportion factor. l f is the proportion coefficient of the left chest wall. r W represents the proportion coefficient of the right chest wall. f W l W r Normalized work in one direction (front, left, right) respectively, W T L0 is the sum of normalized work in three directions; b0 and b1 are the lung damage coefficients, respectively; and P1 is the probability of lung damage to the person.
[0042] As can be seen from the above technical solution, the beneficial technical effects of the present invention are as follows:
[0043] This solution constructs a human injury spectrum based on human structure and function; then it builds multiple injury models; finally, it conducts personnel vulnerability analysis based on the human injury spectrum and injury models, in order to obtain accurate medical support data, making the medical support data more stable, scientific, reasonable, and accurate. Attached Figure Description
[0044] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.
[0045] Figure 1 This is a schematic diagram of a personnel vulnerability analysis method for precise medical support provided in this embodiment. Detailed Implementation
[0046] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of the present invention and are therefore intended to limit the scope of protection of the present invention.
[0047] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art. The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for implementation of the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. Unless otherwise stated, the term "a plurality of" means two or more. In this disclosure, the character " / " indicates an "or" relationship between the preceding and following objects. For example, A / B means: A or B. The term "and / or" describes an association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B. The term "corresponding" can refer to an association or binding relationship; A corresponding to B means that there is an association or binding relationship between A and B.
[0048] Combination Figure 1 As shown, this embodiment provides a method for personnel vulnerability analysis for precise medical support, including:
[0049] Step S01, Target Analysis: Divide the human body into parts according to human function or occupational function; establish a human injury spectrum based on the divided human body parts;
[0050] Step S02: Constructing damage models: The various damage models include projectile damage model, thermal damage model, shock wave damage model, and impact vibration damage model;
[0051] Step S03: Construct mapping relationships under various working conditions: Calculate physical and functional damage under preset impact conditions based on the damage model;
[0052] Step S04: Obtain the vulnerability distribution pattern: Based on the human injury spectrum and injury model, conduct personnel vulnerability analysis to obtain the vulnerability distribution pattern and statistical results under preset impact conditions.
[0053] The human injury spectrum stores the correspondence between the injured location, injury type, injury characteristics, injury score, and injury severity.
[0054] Step S05: Predict medical support data based on the vulnerability distribution pattern and the statistical results under preset strike conditions.
[0055] In some embodiments, based on different injury factors and damage criteria caused by different attack types, the location, probability, and severity of various injuries under different attack types can be accurately predicted, enabling vulnerability analysis of personnel. This allows for the acquisition of scientific data on personnel injury locations, injury types, number of injured personnel, and severity of injuries during tactical and operational operations, making medical support more accurate, scientific, and reasonable, thereby supporting precision medical support.
[0056] In some embodiments, during the simulation, computer simulations of personnel groups and attacks are employed, using single-shot or multi-shot methods for multiple iterative calculations to obtain attack types, the probability of occurrence for each attack type, and simulated damage data under each attack type. By conducting simulations and analyzing personnel vulnerability based on the simulated scenarios, predictions of casualty situations are obtained, thus providing accurate and scientific data support for predicting medical support data and improving accuracy.
[0057] The human injury spectrum is constructed in the following way: the human body is divided into parts according to human function or occupational function; a human injury spectrum is established based on each part of the body; the human injury spectrum stores the correspondence between the injured part, injury type, injury characteristics, injury score and injury severity.
[0058] Dividing the human body into parts according to its functions includes: dividing the human body into five parts: feet and lower legs, thighs and pelvis, chest and abdomen, head and neck, and upper limbs. Due to their symmetry, left and right can be distinguished; or, associating the human body with specific anatomical structures and organs according to specific functions such as hearing, speaking, movement, manipulation, and consciousness.
[0059] The human body can be divided into parts according to occupational functions, including parts necessary for survival, parts necessary for maintaining physical health, and parts necessary for maintaining occupational functions.
[0060] In some embodiments, the parts necessary for survival include the anatomical structures and organs required for the functions necessary for survival; the parts necessary for maintaining athletic health include the organs and anatomical structures required for the functions of athletic and healthy individuals; and the parts necessary for maintaining occupational functions include the structures and organs required for specialized job functions such as drivers, gunners, and snipers.
[0061] In some embodiments, in the human injury spectrum, if the injured site is the head and neck, the injury type is fragmentation injury, and the injury characteristic is a depth of 1-3 cm, then the injury score is 3 points, and the injury severity is moderate injury. That is, the head and neck, fragmentation injury, depth of 1-3 cm, 3 points, and moderate injury form a corresponding relationship.
[0062] In some embodiments, the injury spectrum includes the following injury characteristics: projectile injury characteristics, thermal injury characteristics, and shock wave injury characteristics. Projectile injury characteristics include projectile penetration depth, and shock wave injury characteristics include lung injury characteristics, ankle injury, or tibia fracture.
[0063] The damage model includes a projectile damage model, which includes: obtaining the projectile presentation area based on projectile mass, projectile velocity, time, tissue density, viscosity of the liquid layer near the projectile, thickness of the liquid layer near the projectile, tissue strength, and fitting coefficient; and obtaining the projectile penetration depth based on the projectile presentation area.
[0064] The surface area of the projectile is obtained using the following formula:
[0065]
[0066] In the above formula, m is the projectile mass, v is the projectile velocity, t is the first damage time, ρ is the tissue density, A is the projectile surface area, φ is μ / I, μ is the viscosity of the liquid layer close to the projectile, I is the thickness of the liquid layer close to the projectile, S is the tissue strength, and g D g V g S The fitting coefficients are denoted as .
[0067] The projectile penetration depth is obtained using the following formula:
[0068]
[0069] Where A is the projectile's surface area, x is the projectile's penetration depth, m is the projectile's mass, v is the projectile's velocity, and ρ is the tissue density.
[0070] The damage model includes a thermal damage model, which includes obtaining the heat flux based on the distance from the measuring point to the explosion source, the temperature of the explosion fireball, the equivalent TNT, the first thermal damage coefficient, and the second thermal damage coefficient.
[0071] Heat flux is obtained using the following formula:
[0072]
[0073] In the above formula, q represents the heat flux, with units of W / m³. 2 r is the distance from the measuring point to the explosion source, in meters (m), and T is the fireball temperature, in Kelvin (K) or W. q The equivalent TNT is expressed in kg. K1 is the first thermal damage coefficient, and K2 is the second thermal damage coefficient.
[0074] In some embodiments, the first thermal damage coefficient K1 is taken as 1.253 × 10⁻⁶. -7 The second thermal damage coefficient K2 is 0.0324.
[0075] Based on heat flux, obtaining thermal damage characteristics includes: performing a lookup operation on heat flux and damage time to obtain the thermal damage characteristics corresponding to heat flux and damage time; there is a corresponding relationship between heat flux, damage time and thermal damage characteristics.
[0076] In some embodiments, Table 1 is an example table showing the relationship between heat flux, damage time, and thermal damage characteristics. As shown in Table 1, if the heat flux is 1.75 and the damage time is 60s, the thermal damage characteristic is severe pain; if the heat flux is 5.0 and the damage time is 15s, the thermal damage characteristic is severe pain; if the heat flux is 25.0 and the damage time is 10s, the thermal damage characteristic is severe burns.
[0077] Table 1
[0078]
[0079] Multiple injury models include a shock wave injury model, which includes: obtaining the normalized work in each direction; the normalized work being used to characterize the physical properties of the shock wave on the lungs; and obtaining the sum of the normalized work values in the three directions based on the normalized work in each direction.
[0080] After obtaining the sum of the normalized work values in the three directions, the process also includes: comparing the sum of the normalized work values in the three directions with the range of damage severity to obtain the normalized work values in the three directions and the corresponding damage severity.
[0081] In some embodiments, when the sum of the normalized work values in the three directions is within a first severity range, the severity of the injury is fatal; when the sum of the normalized work values in the three directions is within a second severity range, the severity of the injury is extremely severe; when the sum of the normalized work values in the three directions is within a third severity range, the severity of the injury is severe; when the sum of the normalized work values in the three directions is within a fourth severity range, the severity of the injury is moderate; and when the sum of the normalized work values in the three directions is within the first severity range, the severity of the injury is mild.
[0082] The impact vibration injury model includes: obtaining the probability of ankle injury based on the person's age, the force on the fibula of the lower limb, and the ankle injury coefficient; obtaining the probability of tibial fracture based on the axial force on the tibia, the load application rate, and the person's weight; and obtaining the probability of spinal injury based on the maximum relative displacement, natural frequency, and gravitational acceleration.
[0083] Human vulnerability analysis is conducted based on human injury spectrum and injury models, including: obtaining injury characteristics based on each injury model; searching for each injury characteristic in the human injury spectrum to obtain the severity of each injury type; obtaining the probability of injury for various injury types based on injury simulation data of various attack types; obtaining the number of injured persons based on the estimated total number of people and the probability of injury for each person; and obtaining the vulnerability distribution pattern based on injury type, number of injured persons, and severity of injury.
[0084] Based on damage simulation data for various attack types, the probability of personnel injury for multiple damage types is obtained, including: the probability of personnel injury for projectile attack types based on projectile attack damage simulation data; the probability of personnel injury for thermal damage types based on thermal attack damage simulation data; and the probability of personnel injury for shockwave types based on shockwave damage simulation data.
[0085] Based on damage simulation data of various attack types, obtain the probability of personnel injury for multiple damage types, including: training a neural network with damage simulation data and personnel injury probabilities of various attack types, and using the trained model to obtain the probability of personnel injury; or, pre-storing and storing the correspondence between damage simulation data and personnel injury probabilities, and obtaining the personnel injury probability corresponding to the damage simulation data according to the correspondence between the two.
[0086] Based on damage simulation data of various attack types, the probability of injury to personnel under multiple injury types is obtained, including: based on damage simulation data of shock wave type, the normalized work in each direction is obtained; the normalized work is used to characterize the physical representation of the impact of the shock wave on the lungs; based on the normalized work in each direction, the sum of the normalized work values in the three directions is obtained; based on the sum of the normalized work values in the three directions, the probability of lung injury to personnel under shock wave type is obtained.
[0087] Normalization work is a dimensionless quantity.
[0088] The formula for calculating the probability of lung damage in individuals exposed to shock waves is as follows:
[0089]
[0090] In the above formula, W * For normalized work in a single direction, A e V0 is the equivalent chest wall area, γ is the lung volume, and p is the multivariate gas index. a v' is the intrapulmonary gas pressure before the shock wave, v' is the chest movement velocity, t' is the second injury time, ρ' is the intrapulmonary air density, c0 is the intrapulmonary sound speed, and f f f is the anterior chest wall proportion coefficient. l f is the proportion coefficient of the left chest wall. rW represents the proportion coefficient of the right chest wall. f W l W r Normalized work in one direction (front, left, right) respectively, W T L0 is the sum of normalized work in three directions; b0 and b1 are the lung damage coefficients, respectively; and P1 is the probability of lung damage to the person.
[0091] The relationship between the second damage time t`, the air density ρ` in the lungs, and the speed of sound c0 in the lungs is shown below:
[0092]
[0093] In the above formula, m` is the mass of the chest wall, v` is the velocity of the chest movement, and P... 冲 (t) is a function of shock wave pressure and time, where t` is the second damage time, ρ` is the air density in the lungs, c0 is the sound velocity in the lungs, x` is the inward displacement of the chest wall, and L is the thickness of the pleural cavity in the vertical direction of the chest wall movement.
[0094] γ is the multivariate gas index, usually taken as 1.4, p a This refers to the gas pressure inside the lungs before the shock wave acts, which is generally atmospheric pressure.
[0095] f f f is the anterior chest wall proportion coefficient. l f is the proportion coefficient of the left chest wall. r The ratio of the right chest wall is taken as 0.5, considering the elliptical shape of the human chest. The ratio of the front area is taken as 0.5, and the ratio of the left and right sides is taken as 0.25.
[0096] Based on the experimental fitting, the lung damage coefficients b0 and b1 for minor injuries were 9.493 and 2.094, respectively; for moderate injuries, they were 7.117 and 1.970; and for severe injuries, they were 3.819 and 1.794. Since no injury and minor injury have virtually no impact, the probability was not calculated further.
[0097] An impact vibration injury model was constructed, including: obtaining the probability of ankle injury based on age, fibular stress, and ankle injury coefficient; obtaining the probability of tibial fracture based on axial force on the tibia, load loading rate, and body weight; and obtaining the probability of spinal injury based on maximum relative displacement, natural frequency, and gravitational acceleration.
[0098] The personnel's ankle injuries were characterized as ankle injuries; the tibia fractures were also described as tibial fractures.
[0099] The formula for calculating the probability of ankle injury is as follows:
[0100]
[0101] In the above formula, P2 is the probability of foot and ankle fracture, B is age, F is the force on the fibula of the lower limb in kN, C1 is the first ankle injury coefficient, C2 is the second ankle injury coefficient, C3 is the third ankle injury coefficient, and C4 is the fourth ankle injury coefficient.
[0102] In some embodiments, the first ankle injury coefficient C1 is 0.0348, the second ankle injury coefficient C2 is 0.415, the third ankle injury coefficient C3 is 5.13076, and the fourth ankle injury coefficient C4 is 7.42582. The formula for calculating the probability of ankle injury in individuals affected by shockwaves is shown below:
[0103]
[0104] The formula for calculating the probability of tibial fracture is as follows:
[0105]
[0106] In the above formula, P3 is the probability of tibial fracture, F` is the axial force on the tibia in N, R is the load loading rate in kN / ms, W is body weight in kg, D1 is the first tibial injury coefficient, D2 is the second tibial injury coefficient, D3 is the third tibial injury coefficient, and D4 is the fourth tibial injury coefficient.
[0107] In some embodiments, the first tibial injury coefficient D1 is -8.39, the second tibial injury coefficient D2 is 0.078, the third tibial injury coefficient D3 is 0.073, and the fourth tibial injury coefficient D4 is 5.2 × 10⁻⁶. -4 The formula for calculating the probability of tibial injury in individuals affected by shock waves is shown below:
[0108]
[0109] The number of people injured is obtained by multiplying the total number of people injured by the probability of each person being injured, including multiplying the total number of people injured by the probability of each person being injured to obtain the number of people injured for each type of injury.
[0110] The probability of spinal injury in individuals is calculated as follows:
[0111] Where, δ max For the maximum relative displacement, ω n is the natural frequency, and g is the acceleration due to gravity.
[0112] In some embodiments, in, ε is the acceleration in the vertical direction; δ is the relative displacement (ε1-ε2) when it is greater than zero (compression); γ is the damping coefficient. ω n For the natural frequency, k is the spring constant.
[0113] Based on damage simulation data of various attack types, the probability of personnel being injured for multiple damage types is obtained. It also includes: calculating the probability of personnel being injured for composite damage types by inputting the probability of personnel being injured for each damage type into a preset comprehensive damage calculation formula.
[0114] In some embodiments, the formula for calculating the preset comprehensive damage is as follows:
[0115] P 复合 =1-(1-P) blast (1-P) frag )
[0116] P 复合 P represents the probability of injury to individuals with combined injury types. blast P represents the probability of injury to individuals with the first type of injury. frag The probability of injury to a person with the second type of injury.
[0117] In some embodiments, the first damage type is a shock wave type, and the second damage type is a projectile type.
[0118] In some embodiments, the probability of injury to a person with a complex injury type further includes: using a multiple injury scoring method, for example, when there are three or more complex injury types, the probability of injury to a person with the three most severe injury types is squared and summed to obtain the probability of injury to a person with a complex injury type.
[0119] Construct mapping relationships under various working conditions: Calculate physical and functional damage under preset impact conditions based on the damage model, including: obtaining physical damage according to the damage model; and obtaining the loss of function of the wounded according to the mapping relationship between physical damage and functional damage.
[0120] The statistical results calculated under the preset impact conditions include: using the Monte Carlo algorithm to randomly calculate the damage and disability of a certain damage element on the human body multiple times, and providing functions, curves, and charts of the physical characteristics of the damage element and the severity of the damage.
[0121] Using a single-point strike with a specific type of ammunition, the overpressure field and fragmentation field of the ammunition are applied to the human body structure, and the damage results and disability status are calculated. Examples include damage from a single-factor hit to a specific area, damage from a single-factor random hit, damage from a single-projectile strike, and damage from multiple-projectile strikes.
[0122] In some embodiments, a pre-defined database stores a mapping relationship between functional impairment and functional loss. The database is used to search and compare the injured areas to determine the extent of functional loss. The database stores the correspondence between injured areas and functional loss. For example, if the injury is to the head and neck, and the head and neck have open wounds, the functional loss is no impact on communication; if the injury is to the head, face, or neck, and the open wounds extend to the muscles, the functional loss is loss of speech / communication function and inability to complete tasks; if the injury is to the arm, and the open wound extends to the muscles, with muscle loss <25% of the muscle in one arm (including degloving injuries), the functional loss is bilateral loss of functions such as handling, driving, loading, and design, and inability to complete tasks; if the injury is to the tendons, joints, and patella of both lower limbs, and the tendons and joints of both lower limbs are damaged, or the patella is fractured, the functional loss is loss of running, jumping, driving, and handling functions, and inability to complete tasks.
[0123] The damage simulation data includes the location and type of damage, including shock wave damage, thermal damage, and projectile damage.
[0124] Based on damage simulation data and a pre-defined human injury spectrum, personnel vulnerability analysis is performed to obtain injury prediction results. This includes: obtaining the probability of personnel injury for various damage types based on damage simulation data of various attack types; obtaining the damage characteristics of various damage types based on damage simulation data of each attack type; searching for the corresponding injury severity for each damage type in the human injury spectrum based on each injury characteristic; obtaining the number of injured personnel based on the estimated total number of people and the probability of injury for each person; and determining the number of injured personnel and the severity of injury as the injury prediction results.
[0125] Based on damage simulation data for various attack types, damage characteristics for multiple damage types are obtained, including: projectile presentation area based on projectile mass, projectile velocity, time, tissue density, viscosity of the liquid layer near the projectile, thickness of the liquid layer near the projectile, tissue strength, and fitting coefficient; projectile penetration depth is obtained based on the projectile presentation area, and the projectile penetration depth is a projectile damage characteristic; heat flux is obtained based on the distance from the measuring point to the explosion source, the temperature of the explosion fireball, the equivalent TNT equivalent, the first thermal damage coefficient, and the second thermal damage coefficient; thermal damage characteristics are obtained based on the heat flux; normalized work in each direction is obtained based on damage simulation data for shock wave types; normalized work is used to characterize the physical characteristics of the shock wave on the lungs; the sum of normalized work in the three directions is obtained based on the normalized work in each direction; the sum of normalized work in the three directions is the lung damage characteristic of the shock wave type.
[0126] Vulnerability distribution patterns include damage type, severity distribution, and damage location distribution. Based on vulnerability distribution patterns and statistical results under pre-set strike conditions, medical support data is predicted, including: assessing damage type, severity distribution, and damage location distribution to obtain predicted data on the allocation of medicines, medical devices, and medical personnel.
[0127] In some embodiments, the database stores the correspondence between vulnerability distribution patterns and medical support data. The vulnerability distribution patterns are searched and compared in the database to obtain the corresponding predicted data on the allocation of medicines, medical devices and medical personnel.
[0128] In some embodiments, the correspondence between the vulnerability distribution pattern and medical support data stored in the database is obtained by summarizing and analyzing the actual casualty situation and the actual medical support data used in multiple wars, or by a team of experts composed of highly experienced personnel who analyze and summarize the historical data to determine the correspondence between the predicted casualty situation and the medical support data, and then store it in the database.
[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.
Claims
1. A method for personnel vulnerability analysis for precise medical support, characterized in that, include: Target analysis: Divide the human body into parts according to human function or occupational function; establish a human injury spectrum based on the divided human body parts; The human injury spectrum stores the correspondence between the injured location, injury type, injury characteristics, injury score, and injury severity. Constructing multiple damage models: The multiple damage models include projectile damage model, thermal damage model, shock wave damage model and impact vibration damage model; Construct mapping relationships under various working conditions: Calculate physical and functional damage under preset impact conditions based on the damage model, including: obtaining physical damage according to the damage model; and obtaining the loss of function of the wounded according to the mapping relationship between physical damage and functional damage. Obtain the vulnerability distribution pattern: Analyze personnel vulnerability based on the human injury spectrum and injury model to obtain the vulnerability distribution pattern, as well as the statistical results under preset impact conditions; Based on the vulnerability distribution pattern and statistical results under preset strike conditions, medical support data is predicted, including: assessment based on injury type, severity distribution, and injury location distribution to obtain predicted data on the allocation of medicines, medical devices, and medical personnel. The vulnerability analysis of individuals based on human injury spectrum and injury models includes: Damage characteristics are obtained based on each damage model; Based on the characteristics of each injury, the severity of each injury type is obtained by searching the human injury spectrum. Based on damage simulation data for various attack types, the probability of personnel being injured under multiple damage types is obtained, including: The probability of injury for individuals with composite injury types is calculated by inputting the probability of injury for each type of injury into a preset comprehensive injury calculation formula. The formula for calculating the pre-defined comprehensive damage is as follows: P 复合 =1-(1-P blast )(1-P frag ); P 复合 P represents the probability of injury to individuals with combined injury types. blast P represents the probability of injury to individuals with the first type of injury. frag The probability of injury to a person suffering the second type of injury; Based on the total number of people simulated and the probability of each person being injured, the number of people injured is obtained; The vulnerability distribution pattern is obtained based on the type of injury, the number of injured persons, and the severity of the injury; the vulnerability distribution pattern includes the distribution of injury type, severity, and injury location.
2. The personnel vulnerability analysis method for precise medical support according to claim 1, characterized in that, Projectile damage models include: The projectile's surface area is obtained based on the projectile's mass, velocity, time, tissue density, viscosity of the liquid layer near the projectile, thickness of the liquid layer near the projectile, tissue strength, and fitting coefficient. The penetration depth of the projectile is determined by the area of the projectile.
3. The personnel vulnerability analysis method for precise medical support according to claim 2, characterized in that, To obtain the projectile's surface area, including: Through calculation , to obtain the surface area of the projectile; In the above formula, m is the mass of the projectile, v is the velocity of the projectile, and t is the time of the first damage. Where A is the tissue density and A is the surface area of the projectile. Let μ / I be the viscosity of the liquid layer near the projectile, I be the thickness of the liquid layer near the projectile, S be the tissue strength, and g be the viscosity of the liquid layer near the projectile. D g V g S The fitting coefficients are denoted as .
4. The personnel vulnerability analysis method for precise medical support according to claim 1, characterized in that, Thermal damage models include: The heat flux is obtained based on the distance from the measuring point to the explosion source, the temperature of the explosion fireball, the equivalent TNT, the first thermal damage coefficient, and the second thermal damage coefficient.
5. The personnel vulnerability analysis method for precise medical support according to claim 4, characterized in that, Obtaining heat flux includes: Through calculation To obtain heat flux; In the above formula, q represents the heat flux, with units of W / m³. 2 r is the distance from the measuring point to the explosion source, in meters (m), and T is the fireball temperature, in Kelvin (K). Equivalent TNT weight, unit: kg The first thermal damage coefficient, This is the second thermal damage coefficient.
6. The personnel vulnerability analysis method for precise medical support according to claim 1, characterized in that, Shock wave damage models include: Obtain the normalized work in any direction; the normalized work is the physical representation of the impact of the shock wave on the lungs. Based on the normalized work in the three directions, obtain the sum of the normalized work values in the three directions.
7. The personnel vulnerability analysis method for precision medical support according to claim 1, characterized in that, Impact vibration damage models include: Based on the age of the person, the force on the fibula of the lower limb, and the ankle injury coefficient, the probability of ankle injury is obtained. The probability of tibial fracture is obtained based on axial force on the tibia, load loading rate, and person's weight. The probability of spinal injury in a person is obtained based on the maximum relative displacement, natural frequency, and gravitational acceleration.
8. The personnel vulnerability analysis method for precise medical support according to claim 1, characterized in that, Based on damage simulation data for various attack types, the probability of personnel being injured under multiple damage types is obtained, including: Based on the damage simulation data of the shock wave type, the normalized work in each direction is obtained; the normalized work is used to characterize the physical characteristics of the shock wave on the lungs. Based on the normalized work in each direction, obtain the sum of the normalized work values in the three directions; The probability of lung damage in individuals affected by shock waves is obtained by summing the normalized work values in the three directions.
9. The personnel vulnerability analysis method for precision medical support according to claim 8, characterized in that, To obtain the probability of lung damage in individuals affected by shockwaves, including: Through calculation Obtain the probability of lung damage in individuals affected by shockwaves of different types; In the above formula, For unidirectional normalized work, This is the equivalent chest wall area. This refers to the volume of the lungs. For multiple gas indices, v' represents the intrapulmonary gas pressure before the shock wave, v' represents the chest movement velocity, and t' represents the second injury time. The density of air inside the lungs. The velocity of sound in the lungs. This represents the proportional coefficient of the anterior chest wall. The ratio of the left chest wall. The ratio of the right chest wall. The work is normalized in a single direction: forward, left, and right. This is the sum of the normalized work in the three directions; These are probability coefficients. These are the lung damage coefficients, This represents the probability of lung damage in individuals.