Fire rescue protective clothing based on hazardous gas monitoring and early warning software and hardware integration

Abstract

The invention provides a fire rescue protective suit based on hazardous gas monitoring and early warning software and hardware integration. According to one embodiment of the invention, the fire rescue protection suit comprises a protection assembly, a sensing module, a node communication module and a display module, wherein the sensing module is arranged in the protection assembly, and the sensing module is used for collecting environment information and physical sign information of rescue workers; the node communication module is used for sending the environment information, the physical sign information and the positioning information of the rescue workers to a safety centralized control center; early warning information sent by the security centralized control equipment is received; wherein the early warning information comprises the operation efficiency information of the rescue workers and the dangerous area grade in the environment where the rescue workers are located; and the display module is used for receiving the early warning information from the node communication module and displaying the early warning information.

Description

Technical Field

[0001] This application relates to the technical field of public safety personal protection, and particularly to a fire rescue protective suit based on the integration of software and hardware for hazardous gas monitoring and early warning. Background Art

[0002] With the development of informatization and intelligence, fire rescue protective suits show a trend of informatization and intelligence, which can provide a solid guarantee for the life safety of rescue personnel in high-risk scenarios such as fire fighting and rescue. However, the current fire rescue protective suits are difficult to achieve good protection effects in complex and changeable environments. Summary of the Invention

[0003] To overcome the problems existing in the related art, this application provides a fire rescue protective suit based on the integration of software and hardware for hazardous gas monitoring and early warning.

[0004] According to the first aspect of any embodiment of this application, a fire rescue protective suit is provided, including: a protection component, a sensing module, a node communication module, and a display module; wherein,

[0005] The sensing module is arranged in the protection component, and the sensing module is used to collect environmental information and the physical signs information of the rescue personnel;

[0006] The node communication module is used to send the environmental information, the physical signs information, and the positioning information of the rescue personnel to the safety centralized control center; and, receive the early warning information sent by the safety centralized control device; wherein, the early warning information includes the operation efficiency information of the rescue personnel and the dangerous area level in the environment where the rescue personnel are located;

[0007] The display module is used to receive the early warning information from the node communication module and display the early warning information.

[0008] According to the second aspect of the embodiments of this application, a safety centralized control center is provided, including: a centralized control communication module and an evaluation and early warning module; wherein,

[0009] The centralized control communication module is used to receive the environmental information, the physical signs information, and the positioning information of the rescue personnel sent by the fire rescue protective suit according to any one of the above first aspect embodiments;

[0010] The evaluation and early warning module is used to evaluate the individual efficiency of the rescue personnel and the environment based on the environmental information, the physical signs information, and the positioning information, and generate the early warning information, the early warning information includes the operation efficiency information of the rescue personnel and the dangerous area level in the environment where the rescue personnel are located;

[0011] The centralized control communication module is further configured to send the warning information to the fire rescue protective clothing.

[0012] According to a third aspect of the embodiments of the present application, there is provided a safety protection system, including:

[0013] The fire rescue protective clothing as described in any one of the above first aspects;

[0014] And, the safety centralized control center as described in any one of the above second aspects;

[0015] Wherein, each module in the fire rescue protective clothing communicates through a local area network, and the fire rescue protective clothing communicates with the safety centralized control center through an ad hoc network.

[0016] The technical solutions provided by the present application may include the following beneficial effects:

[0017] According to the above embodiments, by integrating the protection component, the sensing module, the node communication module and the display module in the fire rescue protective clothing, the high integration of the protection system is realized. It can not only reduce the volume and weight of the protection system, improve the flexibility and mobility of rescue personnel during task execution, but also reduce the cost of the protection system; integrating multiple functions such as collecting environmental information, monitoring physical signs information, information interaction and displaying warning information in the fire rescue protective clothing can quickly send the warning information of the rear evaluation to the rescue personnel. Through the integration of software and hardware, the rescue personnel can understand their own status and environmental conditions in real time and make more accurate judgments and decisions faster, thus achieving a better active protection effect.

[0018] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings herein are incorporated into the specification and constitute a part of this application, showing embodiments consistent with the present application and used together with the specification to explain the principles of the present application.

[0020] Figure 1 is a schematic structural diagram of a safety protection system shown according to an exemplary embodiment of the present application;

[0021] Figure 2 is a schematic structural diagram of a fire rescue protective clothing shown according to an exemplary embodiment of the present application;

[0022] Figure 3 is a schematic structural diagram of a safety centralized control center shown according to an exemplary embodiment of the present application;

[0023] Figure 4It is a schematic diagram of data communication of a security protection system shown according to an exemplary embodiment of the present application;

[0024] Figure 5 It is an interaction flowchart of a security protection method shown according to an exemplary embodiment of the present application;

[0025] Figure 6 It is a schematic diagram of interaction information in a security protection system shown according to an exemplary embodiment of the present application. Detailed implementation manners

[0026] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0027] The terms used in the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. The singular forms "a", "the" and "said" used in the present application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0028] It should be understood that although the terms first, second, third, etc. may be used in the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0029] Current fire rescue protective clothing usually only uses sensors for monitoring, facing the problems of low integration and relatively single functions, and its protection effect only stays at the level of "passive protection".

[0030] To solve the above problems, the present application proposes a fire rescue protective clothing. To further illustrate the present application, the following embodiments are provided:

[0031] Please refer to Figure 1 , Figure 1It is a schematic structural diagram of a safety protection system shown according to an exemplary embodiment of the present application. The safety protection system may include: a fire rescue protective suit 10 and a safety centralized control center 11.

[0032] Among them, the fire rescue protective suit 10 can be equipped on the rescue personnel, can collect on-site data such as the physical signs information and environmental information of the rescue personnel in real time, and can also have a fire extinguishing function. The fire rescue protective suit 10 can send this on-site data to the safety centralized control center through wireless communication.

[0033] The safety centralized control center 11 can be the core part of the rear command center. For example, it can be deployed on the rescue vehicle at the rescue site. The safety centralized control center 11 can receive, analyze and process the data from the fire rescue protective suit 10. The safety centralized control center 11 can monitor and give early warnings about the on-site situation in real time, and feedback the analysis results and early warning information to the on-site rescue personnel in real time, ensuring the close integration and efficient cooperation of the front and rear equipment systems, and realizing the real-time information interaction and software and hardware integration between the front and rear.

[0034] Please refer to Figure 2 , Figure 2 It is a schematic structural diagram of a fire rescue protective suit shown according to an exemplary embodiment of the present application. The fire rescue protective suit 10 can include: a protection component 100, a sensing module 101, a node communication module 102 and a display module 103.

[0035] Among them, the protection component 100 is the physical carrier of the fire rescue protective suit 10. The protection component 100 can include a protective upper garment, protective trousers, fire boots, gloves, etc. The protection component 100 can be responsible for protecting the rescue personnel from environmental harm. The protection component 100 can be made of materials with multiple functions such as fire prevention, gas prevention, and high temperature resistance, and has heat protection and hazardous chemical barrier functions to ensure the personal safety of the rescue personnel when performing tasks.

[0036] The sensing module 101 can be arranged in the protection component 100, and is used to collect the environmental information of the surrounding environment and the physical signs information of the rescue personnel, realize the comprehensive monitoring of the environment and the personnel status, avoid misjudgment caused by a single data source, provide multi-dimensional data support for subsequent early warning evaluation, and improve the evaluation accuracy.

[0037] The sensing module 101 can include a self-powered unit, providing a high output of more than 3W / m 2 and a continuous working time of more than 24 hours.

[0038] Environmental information can include temperature, humidity, wind direction, gas concentration data of hazardous gases, etc. Hazardous gases can be harmful gases, combustible gases, etc. For example: hydrogen chloride (HCl), carbon monoxide (CO), formaldehyde (CH2O), methane (CH4), hydrogen bromide (HBr), sulfur dioxide (SO2), nitrogen dioxide (NO2), hydrogen fluoride (HF), hydrogen cyanide (HCN), hydrogen sulfide (H2S), hydrogen (H2), etc. The physical sign information of the rescue personnel can include heart rate, respiratory rate, skin temperature, sweating, pulse, blood pressure, etc.

[0039] The node communication module 102 can filter, amplify and process the collected environmental information, physical sign information and the positioning information of the rescue personnel, and send them to the safety centralized control center 11, so that the safety centralized control center 11 can evaluate the individual effectiveness of the rescue personnel and the environment where the rescue personnel are located, and generate early warning information.

[0040] Among them, the early warning information can include the operation effectiveness information of the rescue personnel and the level of dangerous areas in the environment. The operation effectiveness information is the ability evaluation information of the rescue personnel in completing specific rescue tasks, which can reflect the performance and effectiveness of the individual during the operation. The operation effectiveness information can include thermophysiological response, stress situation, emotion, reaction state, etc.

[0041] The node communication module 102 is also used to receive the early warning information sent by the safety centralized control center 11. In order to achieve real-time data transmission, the node communication module 102 can adopt a variety of wireless communication technologies, including but not limited to Bluetooth, WiFi, proprietary wireless frequency bands, and self-organizing networks, which can not only ensure the rapid transmission of data, but also improve the flexibility and reliability of the system.

[0042] In order to achieve high isolation and strong anti-interference ability in a multi-radio system, the isolation performance of the radio frequency network can be enhanced by optimizing the layout of the radio frequency connection area of the node communication module 102, improving the welding process, and adopting a shielding hole design, etc., so as to realize the high isolation and strong anti-interference single-soldier communication function of the multi-radio system, enabling the node communication module 102 to work stably in a complex electromagnetic environment.

[0043] The node communication module 102 can adopt a multi-level air interface protocol architecture to be suitable for a complex rescue environment. The multi-level air interface protocol architecture has the functions of low power consumption, self-organizing network, high-speed data access, and compatibility with multiple network protocols. The low power consumption characteristic enables the node communication module 102 to work continuously for a long time without the need to frequently replace the battery.

[0044] The self-organizing network function enables the node communication module 102 to automatically form a communication network without infrastructure support, realizing the rapid transmission of information. The high-speed data access capability ensures that the node communication module 102 can efficiently process a large amount of data, meeting the requirements for information real-time in the rescue scene. The function of being compatible with multiple network protocols enables the node communication module 102 to communicate with different devices and systems, realizing the seamless integration of multiple communication systems.

[0045] The display module 103 is used to receive the warning information from the node communication module and display the warning information to the rescue personnel in an intuitive way, realizing the active protection of the firefighting rescue protective clothing 10. The display methods of the warning information can include various ways such as text, icons, sounds, or vibrations.

[0046] The display module 103 can also display the power information of each module in the firefighting rescue protective clothing 10, as well as the power warning of the power information.

[0047] In the firefighting rescue protective clothing of this embodiment, by integrating the protection component, the sensing module, the node communication module, and the display module in the firefighting rescue protective clothing, the high integration of the protection system is realized. It can not only reduce the volume and weight of the protection system, improve the flexibility and mobility of the rescue personnel during the execution of tasks, but also reduce the cost of the protection system; integrating various functions such as collecting environmental information, monitoring physical signs information, information interaction, and displaying warning information in the firefighting rescue protective clothing can quickly transmit the warning information of the rear evaluation to the rescue personnel. Through the integration of software and hardware, the rescue personnel can understand their own status and environmental conditions in real time and make more accurate judgments and decisions faster, thus achieving a better active protection effect.

[0048] In one embodiment, as Figure 2 shown, the sensing module 101 may include an environmental sensing module 1010 and a physical sign sensing module 1011.

[0049] Among them, the environmental sensing module 1010 can be embedded outside the protection component 100 for collecting environmental information of the surrounding environment, and the physical sign sensing module 1011 can be embedded inside the protection component 100 for collecting the physical sign information of the rescue personnel.

[0050] By embedding the environmental sensing module outside the protection component, it can be more directly in contact with the external environment, reducing the environmental information error caused by the barrier of the protection component; by embedding the physical sign sensing module inside the protection component, it can be more closely attached to the body of the rescue personnel, accurately capturing their physiological changes, so as to provide more accurate physical sign information.

[0051] In one embodiment, as Figure 2As shown, the fire rescue protective suit 10 may further include: a protective helmet 104. The fire rescue protective suit 10 may further include: a positioning module 105, and the positioning module 105 may be integrated into the protective helmet 104.

[0052] The positioning module 105 is used to collect the positioning information of the rescue personnel. The positioning module 105 has a horizontal positioning accuracy and a vertical positioning accuracy better than 1 m and can be compatible with Beidou positioning.

[0053] The display module 103 may be an embedded micro display device or may be integrated into the protective helmet 104. The display module 103 is suitable for complex environments such as thick smoke and darkness at the fire fighting and rescue site, and is developed with low power consumption, high clarity and high comfort, realizing the intuitive display of the single soldier's field of vision perspective and warning information in scenarios such as fire fighting and rescue.

[0054] By integrating the display module into the protective helmet, it can ensure that the rescue personnel can directly receive warning information or other important data from the safety control center through the display module in front of their eyes when wearing the helmet, avoiding the trouble of carrying additional display devices, and at the same time reducing the safety risks that may be brought by line of sight transfer; since the protective helmet usually fits closely to the head, the positioning module integrated into the protective helmet can ensure that the collected positioning signal is not easily interfered by the outside, thereby improving the accuracy and stability of positioning.

[0055] In one embodiment, as Figure 2 shown, the protection component 100 may include: a refrigeration component 106. The refrigeration component 106 is used to adjust the body temperature of the rescue personnel. The refrigeration component 106 includes a cooling medium that meets the safety requirements of being non-toxic, harmless, non-flammable and non-explosive to the human body in the fire field environment, has high thermal stability in the high-temperature environment of the fire field, and at the same time has good wearing comfort.

[0056] Exemplarily, the refrigeration component 106 may be a portable, lightweight and long-lasting cooling vest. The cooling vest may be placed inside the protection component 100, can provide a cooling range of 0 - 15 °C, the weight of the cooling vest is less than 1 kg, and the continuous working time of the cooling vest exceeds 1 h.

[0057] By integrating a refrigeration module into the protection component, it can actively provide personalized body temperature regulation support for the rescue personnel, reduce the body stress response caused by high temperature, thereby improving the comfort and working duration of the rescue personnel during operation; at the same time, keeping the equipment lightweight is convenient for the rescue personnel to carry and use.

[0058] In one embodiment, as Figure 2As shown, the fire rescue protective suit 10 may further include: a multimedia collection module 107. The multimedia collection module 107 can be used to collect multimedia information in the environment where the rescuer is located. The multimedia information may include at least one of the following: image information, video information, and audio information of the environment where the rescuer is located.

[0059] By integrating the multimedia collection module in the fire rescue protective suit, it is possible to capture the image information, video information, and audio information at the rescue scene in real time, helping the commanders in the rear better understand the on-site situation and the surrounding environment, so as to provide more accurate decision-making.

[0060] It can be understood that Figure 2 The connection relationships and component structures of the various modules in the shown fire rescue protective suit 10 are only examples, and the various modules can also be integrated in different ways. The embodiments of the present application do not limit this.

[0061] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of a safety centralized control center shown by the present application according to an exemplary embodiment. The safety centralized control center 11 may include: a centralized control communication module 110 and an evaluation and early warning module 111.

[0062] Among them, the centralized control communication module 110 is used to receive the environmental information, the physical sign information, and the positioning information of the rescuer sent by the fire rescue protective suit 10.

[0063] The evaluation and early warning module 111 is used to evaluate the individual effectiveness of the rescuer and the environment where the rescuer is located based on the environmental information, physical sign information, and positioning information received by the centralized control communication module 110, and generate early warning information.

[0064] The centralized control communication module 110 is further used to send the early warning information generated by the evaluation and early warning module 111 to the fire rescue protective suit 10, so that the fire rescue protective suit 10 can display the early warning information.

[0065] The evaluation and early warning module 111 can evaluate the individual effectiveness of the rescuer by using a preset human thermophysiological regulation model, skin burn model, "physiological-cognitive" response relationship formula, cognitive level inverted U model, etc., generate the operation effectiveness information of the rescuer, and can optimize the personnel task allocation to avoid excessive fatigue.

[0066] Among them, the human thermophysiological regulation model is used to simulate the thermophysiological responses of the human body under different environmental conditions, such as body temperature changes, sweating rates, heart rates, etc.

[0067] In a rescue environment, rescue workers may face extreme temperature conditions, such as high-temperature or low-temperature environments. The human thermophysiological regulation model can help evaluate the impact of these environmental factors on the physical fitness and work efficiency of rescue workers, generate operation efficiency information reflecting thermophysiological responses, and achieve a prediction deviation of skin temperature in the operation efficiency information of less than 1°C and a prediction deviation of core temperature in the operation efficiency information of less than or equal to 0.5°C.

[0068] The skin burn model is used to evaluate the risk of skin damage to rescue workers in a fire scene or other high-temperature environments. The skin burn model can calculate the probability and degree of skin burns by considering factors such as fire source intensity, exposure time, and the protective equipment of rescue workers, and generate operation efficiency information reflecting skin burns.

[0069] The "physiological-cognitive" response relationship formula is used to describe the relationship between the human physiological state (such as fatigue, hypoxia, etc.) and cognitive ability. By monitoring physical signs information such as heart rate and blood oxygen saturation, the cognitive state of rescue workers can be evaluated, and operation efficiency information reflecting the cognitive state can be generated.

[0070] The inverted U model of cognitive level is used to describe the relationship between stress level and cognitive level, showing an inverted U-shaped curve. That is, as stress increases, the cognitive level first rises and then falls. By predicting the change trend of the cognitive ability of rescue workers, operation efficiency information reflecting cognitive ability can be generated.

[0071] The evaluation and warning module 111 can evaluate the environment where the rescue workers are located based on environmental information and positioning information through statistical models, data fusion algorithms, machine learning algorithms, etc., determine the level of dangerous areas in the environment, provide real-time risk grading, and assist rescue workers in avoiding high-risk areas.

[0072] The evaluation and warning module 111 can also predict information such as the thermophysiological parameters, human thermal comfort, thermal sensation, fatigue degree, and cognitive level of rescue workers by providing flat tests to rescue workers.

[0073] The evaluation and warning module 111 can also perform quantitative analysis on the relationship between the information sent by the fire rescue protective clothing 10 and the positioning accuracy. Based on the results of the quantitative analysis, an error correction model is established. The error correction model is used to correct the positioning information, thereby improving the accuracy of positioning.

[0074] The evaluation and warning module 111 can also adopt a multi-source data fusion algorithm based on adaptive Kalman filtering to determine the independent positioning of rescue workers in a complex space environment. Adaptive Kalman filtering can automatically adjust the filtering parameters according to the change of the system state, thereby improving the accuracy and robustness of the filtering. The multi-source data fusion algorithm can fuse the received information to obtain more comprehensive and accurate information.

[0075] The evaluation and warning module 111 can also support multi-system collaborative positioning. By leveraging the information corresponding to multiple firefighting and rescue protective suits, it collaboratively improves the positioning accuracy. Through information sharing and error correction, it enhances the overall positioning accuracy, reduces the uncertainty of a single firefighting and rescue protective suit, and thus improves the reliability and accuracy of positioning.

[0076] In the safety centralized control center of this embodiment, by integrating the centralized control communication module and the evaluation and warning module, it comprehensively receives and efficiently processes the environmental information, physical sign information, and positioning information sent by the highly integrated firefighting and rescue protective suits, and generates warning information based on this and sends it to the firefighting and rescue protective suits. By real-time interacting with the individual information at the rescue site and the warning information generated at the rear, it can replace manual decision-making, quickly convey the warning information from the rear to the rescue personnel, shorten the response time, help the rescue personnel better understand their own status and the environmental conditions, and make accurate judgments and decisions faster, thus achieving a better protection effect.

[0077] In one embodiment, the environmental information may include the gas concentration data of hazardous gases, which can reflect the concentration of hazardous gases in the environment where the rescue personnel are located. The warning information may also include the spatio-temporal distribution cloud map of the gas concentration data.

[0078] The evaluation and warning module 111 can use the Bayesian spatio-temporal evolution analysis method based on the gas concentration data at different spatial positions and different time points, make full use of the spatio-temporal characteristics of the data, capture the change trends and laws of the hazardous gas concentration, and construct a concentration prediction model. The concentration prediction model can predict the concentration changes of hazardous gases at different spatial positions in a future period of time.

[0079] Using prior information such as preset historical data, professional knowledge, and empirical rules to evaluate the model parameters of the concentration prediction model, comprehensively considering the prior information and actual data, continuously adjusting and optimizing the model parameters, so that the concentration prediction model gradually approaches the real concentration distribution, and improves the accuracy and reliability of the concentration prediction model.

[0080] Based on the evaluated model parameters, conduct spatio-temporal evolution analysis on the gas concentration data, analyze the change trends and laws of the hazardous gas concentration in space and time, and obtain the gas concentration distribution data of the hazardous gas.

[0081] According to the gas concentration distribution data, draw a spatio-temporal distribution cloud map, which can represent different gas concentration levels with visual elements such as colors and brightness, and provide intuitive and vivid safety information for the rescue personnel.

[0082] By constructing a concentration prediction model based on gas concentration data at different spatial positions and different time points, and evaluating the model parameters using prior information, the prediction accuracy of gas concentration distribution data can be improved, enabling the drawn spatio-temporal distribution cloud map to intuitively display the changes in gas concentration data at different spatial positions and different time points, allowing rescue personnel to quickly understand the current and future potential dangerous areas.

[0083] In one embodiment, the evaluation and warning module 111 can use a multi-factor coupling algorithm to perform multi-factor coupling analysis on environmental information, physical sign information, and positioning information to predict gas diffusion information such as the diffusion path, diffusion speed, and concentration distribution of dangerous gases in a future time period.

[0084] Specifically, the multi-factor coupling algorithm can consider multiple factors such as the physical properties of dangerous gases (such as density, diffusion rate, etc.), environmental information (such as wind speed, wind direction, temperature, etc.), terrain and landforms, and the activities of rescue personnel. By coupling and analyzing these factors, the gas diffusion information of dangerous gases in a future time period can be predicted.

[0085] Based on the gas diffusion information of dangerous gases in a future time period, identify the dangerous areas in the environment where the rescue personnel are located. Among them, the dangerous areas can be areas with relatively high gas concentration data, relatively fast diffusion speed, or relatively large impact on human health.

[0086] Using the dangerous gas dose-time integral response model, based on the change of gas concentration data of dangerous gases over time and the exposure time of the human body to dangerous gases, through integral operation, determine the total dose of dangerous gases inhaled by the rescue personnel. Among them, the dangerous gas dose-time integral response model is a mathematical model for evaluating the impact of dangerous gases on human health, and can evaluate its potential health risks by calculating the cumulative dose of dangerous gases in the human body.

[0087] Combining the gas diffusion information and the total dose of dangerous gases inhaled by the rescue personnel, classify the dangerous areas to obtain the dangerous area levels. The classification method can be determined according to multiple factors such as the concentration, diffusion speed, duration of dangerous gases, and the tolerance of the human body to dangerous gases.

[0088] Specifically, the dangerous areas can be divided into different levels, such as low-risk areas, medium-risk areas, and high-risk areas, etc. Each level corresponds to different safety risks and requirements for protective measures. Rescue personnel can take corresponding protective measures according to the level of the area where they are located to reduce the impact of dangerous gases on their health.

[0089] By performing multi-factor coupling analysis on environmental information, physical sign information, and positioning information to predict the gas diffusion information of hazardous gases in a future time period, the diffusion process of hazardous gases can be simulated more precisely, the hazardous areas in the environment where the rescue personnel are located can be identified, and based on the gas diffusion information and the total dose of hazardous gases inhaled by the rescue personnel, the hazardous areas can be classified. According to the influence range and the health risks of the rescue personnel, the levels of the hazardous areas can be evaluated more scientifically, which helps the rescue personnel avoid dangers in advance.

[0090] In one embodiment, the warning information may further include the operation path of the rescue personnel. The warning module 21 can use the fire smoke backward trajectory model to perform potential source analysis on the environmental information to obtain multiple potential backward paths of the hazardous gas. Among them, the potential backward path is the path that traces back from the current position corresponding to the positioning information to the potential hazardous source.

[0091] According to factors such as environmental factors (such as wind speed and wind direction changes), physical properties of the hazardous gas (such as diffusion rate, density, etc.), and historical data on each potential backward path, conditional probability analysis is performed on each potential backward path to determine the pollution probability of each potential backward path.

[0092] According to the pollution probability of each potential backward path, by means of selecting the potential backward path with the highest pollution probability, etc., the target backward path of the hazardous gas is determined. The target backward path is the path with the highest possibility for the hazardous gas to diffuse from the actual hazardous source to the current position.

[0093] After determining the target backward path of the hazardous gas, based on the target backward path, combined with information such as the concentration of the hazardous gas, diffusion trend, environmental factors, and physical sign information of the rescue personnel on the target backward path, the operation path of the rescue personnel is planned.

[0094] By using the fire smoke backward trajectory model to perform potential source analysis on the environmental information to obtain multiple potential backward paths of the hazardous gas, performing conditional probability analysis on each potential backward path to determine the pollution probability of each potential backward path, according to the pollution probability of each potential backward path, the target backward path of the hazardous gas can be quickly determined, and based on the target backward path, the operation path of the rescue personnel is planned, which helps to formulate a more reasonable and effective rescue plan.

[0095] Please refer to Figure 4 , Figure 4 FIG. is a schematic diagram of data communication of a safety protection system shown in accordance with an exemplary embodiment of the present application. Each module inside the fire rescue protective suit 10 can communicate through a local area network such as Bluetooth or WiFi, and the fire rescue protective suit 10 and the safety centralized control center 11 can communicate through an ad hoc network such as a wireless mesh network (Mesh).

[0096] Exemplarily, the environmental sensing module 1010 and the body sign sensing module 1011 can communicate data with the node communication module 102 via Bluetooth, and the positioning module 105 can communicate data with the node communication module 102 via WiFi. The node communication module 102 can communicate data with the safety centralized control center 11 via Mesh.

[0097] Each module inside the fire rescue protective suit communicates via a local area network, enabling high-speed data transmission and collaborative work among modules, improving the overall performance and reliability of the fire rescue protective suit; the fire rescue protective suit communicates with the safety centralized control center via an ad hoc network, which can flexibly adapt to complex and changeable rescue environments, such as problems like wireless signal blockage and multipath effects, ensuring real-time data transmission and communication stability.

[0098] To further introduce the safety protection process, please refer to Figure 5 , Figure 5 which shows an interaction flowchart of a safety protection method. The method may include the following steps:

[0099] Step 501: The fire rescue protective suit collects environmental information, body sign information of the rescue personnel, and positioning information.

[0100] Please refer to Figure 6 , Figure 6 which shows a schematic diagram of the interaction information in a safety protection system. Exemplarily, the safety protection system includes a sensing layer, a computing layer, a data layer, a transmission layer, and an application layer of the safety centralized control center.

[0101] In the sensing layer, the environmental sensing module 1010 can collect environmental information such as the gas concentration data, temperature, and humidity of dangerous gases in the surrounding environment, the body sign sensing module 1011 can collect body sign information such as the body temperature, bioelectricity, sweating amount, and breathing rate of the rescue personnel, and the positioning module 105 can collect the positioning information of the rescue personnel.

[0102] In the transmission layer, the environmental sensing module 1010, the body sign sensing module 1011, and the positioning module 105 send the collected information to the node communication module 102 via Bluetooth.

[0103] Step 502: The fire rescue protective suit sends environmental information, body sign information, and positioning information to the safety centralized control center.

[0104] In the transmission layer, the node communication module 102 sends environmental information, body sign information, and positioning information to the safety centralized control center 11 via Mesh.

[0105] Step 503: The safety centralized control center evaluates the individual effectiveness of the rescue personnel based on the body sign information.

[0106] In the transport layer, the centralized control communication module 110 receives the environmental information, physical sign information, and positioning information sent by the fire rescue protective suit 10.

[0107] In the computing layer, the evaluation and early warning module 111 uses tools such as a preset human thermophysiological regulation model, skin burn model, "physiological-cognitive" response relationship formula, and cognitive level inverted U model to evaluate information such as the thermophysiological response, skin burn risk, and cognitive state of the rescue personnel, and generate the operation efficiency information of the rescue personnel.

[0108] Step 504: The safety centralized control center combines the predicted gas diffusion information and the total dose of dangerous gases inhaled by the rescue personnel to classify the dangerous area and obtain the dangerous area level.

[0109] In the computing layer, the evaluation and early warning module 111 analyzes the received environmental information using a multi-factor coupling algorithm to predict the diffusion path, speed, and concentration distribution of dangerous gases. Based on the dangerous gas dose-time integral response model, the total dose of dangerous gases inhaled by the rescue personnel is calculated. Combining the gas diffusion information and the total dose of dangerous gases inhaled by the rescue personnel, the dangerous area is classified to obtain the dangerous area level, so that the rescue personnel can take corresponding protective measures.

[0110] Step 505: The safety centralized control center conducts a spatio-temporal evolution analysis of the gas concentration data and draws a spatio-temporal distribution cloud map.

[0111] In the computing layer, the evaluation and early warning module 111 conducts a spatio-temporal evolution analysis of the gas concentration data of the dangerous gases, and uses the gas concentration distribution data of the dangerous gases to draw a spatio-temporal distribution cloud map to provide real-time safety information for the rescue personnel.

[0112] Step 506: The safety centralized control center plans the operation path of the rescue personnel based on the pollution probability of the analyzed potential backtracking path.

[0113] In the computing layer, the evaluation and early warning module 111 uses the fire smoke backward trajectory model to conduct a potential source analysis of the environmental information to determine multiple potential backtracking paths of the dangerous gases. By conducting a conditional probability analysis on each potential backtracking path, the target backtracking path with the highest pollution probability is identified, and the operation path of the rescue personnel is planned based on this path.

[0114] In the application layer, the safety centralized control center 11 can display the information of the rescue personnel, the information of the operation space, and the evaluation information of the rescue personnel. The information of the rescue personnel, such as: positioning information, operation trajectory, operation duration, power information of each module, skin burn level, physical sign information, etc.

[0115] Information about the working space, such as: spatio-temporal distribution cloud map, dangerous area level, space temperature, space structure, etc. Evaluation information, such as: subjective evaluation, cognitive ability, cognitive state, aptitude, etc.

[0116] In the data layer, data such as environmental information, physical sign information, positioning information, venue model, operation trajectory, evaluation questions, evaluation results, dangerous area level, power consumption, etc. can be stored.

[0117] Step 507: The safety centralized control center sends a warning message to the fire rescue protective clothing.

[0118] In the transmission layer, the centralized control communication module 110 sends the generated warning message to the fire rescue protective clothing 10 in a Mesh manner. The warning message includes but is not limited to operation efficiency information, dangerous area level, spatio-temporal distribution cloud map, and operation path, etc.

[0119] Step 508: The fire rescue protective clothing displays the warning message.

[0120] In this step, the node communication module 102 sends the received warning message to the display module 103 via Bluetooth, and the display module 103 shows the warning message to the rescue personnel. The display module 103 can also show the power consumption information of the fire rescue protective clothing 10 to the rescue personnel.

[0121] By automatically monitoring the data of the dangerous environment and rescue personnel, efficient data transmission, accurate judgment of operation efficiency, data flow and information transmission, and real-time information display, the information interaction between the rescue personnel and the command center is realized, providing technical support for ensuring the life safety of rescue personnel and improving the emergency rescue ability, being able to effectively reduce the danger of fireground operations, ensuring the individual life safety of fire rescue personnel during the mission execution, reducing the casualties of rescue personnel, improving the emergency disposal efficiency, enhancing the comprehensive combat effectiveness of rescue personnel, and promoting the scientific, professional, intelligent, and refined level of individual protection of the fire rescue team, which has modern significance for promoting the emergency management system and capabilities.

[0122] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0123] Those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the invention herein. The present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present application is only limited by the appended claims.

[0124] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A fire rescue protective clothing, characterized in that: include: Protection component, sensor module, node communication module and display module; wherein, The sensor module is arranged in the protection component, and is used to collect environmental information and vital signs information of rescuers; The node communication module is used to send the environmental information, the vital sign information and the location information of the rescuer to the security centralized control center; and receive the warning information sent by the security centralized control device; wherein the warning information includes the operation efficiency information of the rescuer and the level of the dangerous area in the environment where the rescuer is located; The display module is used to receive the warning information from the node communication module and display the warning information.

2. The fire rescue protective clothing according to claim 1, characterized in that: The sensing module includes an environment sensing module for collecting the environment information and a vital sign sensing module for collecting the vital sign information; Wherein, the environmental sensing module is embedded in the outer side of the protective component, and the vital sign sensing module is embedded in the inner side of the protective component.

3. The fire rescue protective clothing according to claim 1, characterized in that: Also includes: Protective helmet; the display module and the positioning module are integrated in the protective helmet; wherein the positioning module is used to collect the positioning information of the rescuer.

4. The fire rescue protective clothing according to claim 1, characterized in that: The environment includes a high temperature environment; The protection assembly includes: a refrigeration assembly; The refrigeration component is used to adjust the body temperature of the rescuer.

5. The fire rescue protective clothing according to claim 1, characterized in that: Also includes: A multimedia acquisition module, the multimedia acquisition module is used to collect multimedia information in the environment where the rescuer is located; The multimedia information includes at least one of the following: image information, video information, and audio information.

6. A security centralized control center, characterized in that: include: Centralized control communication module and evaluation and early warning module; among which, The centralized control communication module is used to receive environmental information, vital signs information and positioning information of rescue personnel sent by the fire rescue protective clothing according to any one of claims 1 to 5; The evaluation and warning module is used to evaluate the individual effectiveness of the rescuer and the environment in which the rescuer is located based on the environmental information, the vital sign information and the positioning information, and generate the warning information, wherein the warning information includes the operation effectiveness information of the rescuer and the level of the dangerous area in the environment; The centralized control communication module is also used to send the warning information to the fire rescue protective clothing.

7. The security centralized control center according to claim 6, characterized in that: The environmental information includes gas concentration data of dangerous gases; the warning information also includes a spatiotemporal distribution cloud map of the gas concentration data; the evaluation and warning module is also used to: Construct a concentration prediction model based on gas concentration data at different spatial locations and time points; Using preset prior information, evaluating model parameters of the concentration prediction model; Based on the evaluated model parameters, performing a spatiotemporal evolution analysis on the gas concentration data to obtain gas concentration distribution data of the hazardous gas; The spatiotemporal distribution cloud diagram is drawn according to the gas concentration distribution data.

8. The security centralized control center according to claim 6, characterized in that: The evaluation and early warning module is also used for: Performing a multi-factor coupling analysis on the environmental information, the vital sign information and the positioning information to predict the gas diffusion information of the dangerous gas in a future time period; Identifying a dangerous area in the environment where the rescuer is located based on the gas diffusion information; The dangerous area is classified into levels based on the gas diffusion information and the total dose of the dangerous gas inhaled by the rescuer to obtain the dangerous area level.

9. The security centralized control center according to claim 6, characterized in that: The warning information also includes the operation path of the rescue personnel; the evaluation and warning module is also used to: Using a fire smoke backward trajectory model, the environmental information is analyzed for potential sources to obtain multiple potential backtracking paths of hazardous gases, wherein the potential backtracking paths are paths that are traced back from the current position corresponding to the positioning information to the potential hazardous source; Performing conditional probability analysis on each potential backtracking path to determine the contamination probability of each potential backtracking path; Determining a target tracing path for the hazardous gas according to the contamination probability of each potential tracing path; Based on the target backtracking path, the rescuer's operation path is planned.

10. A safety protection system, characterized in that: include: The fire rescue protective clothing according to any one of claims 1 to 5; And, the security centralized control center as described in any one of claims 6 to 9; Among them, the various modules in the fire rescue protective clothing communicate through a local area network, and the fire rescue protective clothing communicates with the security control center through an ad hoc network.

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