A perfluorocyclohexanone fire extinguishing bomb automatic control method and system

Abstract

This application discloses a self-control method and system for perfluorohexanone fire extinguishing projectiles. The method includes: acquiring a set of environmental parameters, a set of surface temperature data, and a set of mission status data for the fire extinguishing projectile within a control cycle; mapping surface sampling units to functionally sensitive regions according to a structural partitioning mapping table, and calculating the region's average temperature, minimum temperature, maximum temperature, internal temperature difference, and average temperature change rate to form a region temperature state vector; constructing a thermal path diagram based on a region connection relationship table, and calculating the heat flow influence of each region's connection edge in conjunction with the environmental parameters and the region temperature state vector; extracting candidate thermal paths for key control regions and determining the worst thermal path; further calculating the single-region risk index for each key control region, generating a comprehensive system risk index, and outputting the system-level control status of the fire extinguishing projectile according to the risk classification threshold.

Description

Technical Field

[0001] This application relates to the field of fire extinguishing bomb temperature simulation technology, and more specifically, to a method and system for self-control of perfluorohexanone fire extinguishing bombs. Background Technology

[0002] Perfluorohexanone (PFH) fire extinguishing agents have been widely used in recent years in aerial fire suppression systems, drone fire suppression systems, and airborne firefighting systems due to their high extinguishing efficiency, good insulation properties, and low corrosiveness to equipment. PFH fire extinguishing bombs typically operate during mission phases such as storage and transportation, loading and standby, hovering near fire sites, and entering the delivery window. Internally, they contain several key components, including the extinguishing agent storage structure, release valve structure, drive actuator, and power supply unit. These components are interconnected through complex relationships involving structural connections, heat conduction, and environmental heat exchange. When the fire extinguishing bomb is in a complex environment, its internal temperature is affected by external airflow, ambient temperature, radiant heat, and structural heat conduction. Abnormal temperatures in key components or significant regional temperature differences can affect the stability of the fire extinguishing bomb's internal action chain; therefore, continuous monitoring and control of the fire extinguishing bomb's thermal state during operation is necessary.

[0003] In existing technologies, temperature monitoring of fire extinguishing bombs or similar equipment typically employs single-point temperature threshold judgment or simple area temperature comparison methods. When the temperature at a certain measuring point is detected to be lower or higher than a preset threshold, the corresponding control logic is triggered. This method is relatively simple to implement, but it has certain limitations in practical applications. On the one hand, there are obvious heat conduction paths and thermal coupling relationships between different regions within the fire extinguishing bomb structure, making it difficult to reflect the propagation trend of temperature changes based solely on single-point or local temperature values. On the other hand, under the influence of external airflow, radiant heat, or structural thermal bridges, complex heat transfer paths may form between different regions, causing temperature changes in critical components to often exhibit significant propagation characteristics. Judging solely based on the current temperature value makes it difficult to promptly identify potential risks caused by structural heat transfer paths.

[0004] Furthermore, in complex mission environments, the surface temperature distribution of fire extinguishing projectiles typically exhibits significant spatial differences. The windward and leeward sides are affected differently by airflow cooling and radiant heating, and structural connection points may create localized areas of enhanced heat conduction, leading to the gradual propagation of thermal states between different areas. Existing technologies lack systematic analysis methods for inter-regional heat transfer relationships and mechanisms for comprehensively assessing the risk status of critical components, making it difficult to accurately determine the control status of fire extinguishing projectiles in complex thermal environments. Therefore, it is necessary to propose a fire extinguishing projectile self-control method that integrates regional temperature distribution, inter-regional heat transfer relationships, and environmental factors to improve the reliability and adaptability of system status determination. Summary of the Invention

[0005] This application provides a method and system for self-controlling perfluorohexanone fire extinguishing bombs, which at least solves some of the technical problems existing in the related technologies described above.

[0006] According to a first aspect of the embodiments of this application, a self-control method for perfluorohexanone fire extinguishing bombs is provided, comprising: Acquire the environmental parameter set, surface temperature data set, and mission status data set of the fire extinguishing bomb within the current control cycle; Based on the pre-stored structural partition mapping table, each surface sampling unit in the surface temperature data set is mapped to the corresponding functional sensitive region, and the average temperature, minimum temperature, maximum temperature, internal temperature difference, and average temperature change rate of each functional sensitive region are calculated to form a region temperature state vector. A thermal pathway diagram consisting of functionally sensitive regions is established based on a pre-stored regional connection relationship table, and the heat flow influence of each regional connection edge in the thermal pathway diagram is calculated by combining the environmental parameter set and the regional temperature state vector. For the critical control area, candidate thermal paths are extracted from the thermal path diagram, and the worst thermal path is determined based on the cumulative thermal impact of each candidate thermal path. Based on the regional temperature state vector and the worst thermal path of the key control area, calculate the single-area risk index of each key control area, and generate the system comprehensive risk index based on the single-area risk index. Based on the comprehensive risk index of the system and the risk classification thresholds corresponding to each key control area, the system-level control status of the fire extinguishing bomb is output.

[0007] As an optional approach, mapping each surface sampling unit to its corresponding functionally sensitive region based on a pre-stored structural partitioning mapping table includes: According to the structural layout of the fire extinguishing bomb, the functionally sensitive area is divided into a fire extinguishing agent storage area, a release valve body area, a drive actuator area, a power supply unit area, a control trigger unit area, a structural connection thermal bridge area, a windward outer shell area, and a leeward outer shell area; among them, the release valve body area, the drive actuator area, and the power supply unit area are set as the key control areas, and each surface sampling unit corresponds to only one functionally sensitive area.

[0008] As an optional approach, the calculation of the regional temperature state vector for each functionally sensitive region includes: The average temperature of the region is calculated based on the temperature values ​​of the surface sampling units mapped to the functionally sensitive region. Extract the lowest and highest temperatures of the area from the surface sampling unit temperature values ​​corresponding to the functionally sensitive area; determine the internal temperature difference of the area based on the highest and lowest temperatures of the area. The rate of change of the regional average temperature is determined based on the regional average temperature of the current control cycle and the regional average temperature buffered in the previous control cycle.

[0009] As an optional approach, neighborhood consistency screening is performed on the temperature values ​​of each surface sampling unit before calculating the average temperature, minimum temperature, and maximum temperature of the region. The neighborhood consistency screening includes: comparing the temperature value of the target surface sampling unit with the median temperature of its neighboring surface sampling units; when the deviation between the two exceeds a preset deviation threshold, replacing the temperature value of the target surface sampling unit with the median temperature of the neighboring surface sampling units, and calculating the temperature state vector of the region based on the replaced temperature value.

[0010] As an alternative approach, based on the regional temperature state vector, a set of interface sampling units is extracted for two functionally sensitive regions that are marked as directly adjacent in the regional connection relationship table, and the regional interface temperature difference is calculated based on the temperature values ​​of the interface sampling units located on both sides of the interface. The calculation of the heat flow influence quantity uses both the regional average temperature difference of the two functionally sensitive regions and the regional interface temperature difference to form an effective driving temperature difference for the corresponding regional connection edge.

[0011] As an optional approach, the calculation of the heat flow influence of each region's connecting edge in the heat path diagram, combining the set of environmental parameters and the regional temperature state vector, includes: For each region connection edge in the thermal path diagram, the basic edge weight of the region connection edge is determined based on the pre-stored equivalent structural thermal coupling coefficient. The dynamic environmental correction coefficient of the region connection edge is determined based on the relative airflow state, external radiative heat state, and mission altitude state in the environmental parameter set. The heat flow influence of the region connection edge is calculated based on the basic edge weight, the dynamic environmental correction coefficient, and the effective driving temperature difference.

[0012] As an optional approach, for the critical control area, candidate thermal pathways are extracted from the thermal path map, and the worst thermal pathway is determined based on the cumulative thermal impact of each candidate thermal pathway, including: Using each key control area as the endpoint node, candidate thermal paths with a path order not greater than a preset path order are extracted from the thermal path map. For each candidate heat path, the cumulative heat impact is calculated based on the heat flow impact and transmission attenuation coefficient of each region connecting the path. By combining the temperature margin of the corresponding key control area and the temperature difference within the area, the thermal pathway risk score of each candidate thermal pathway is determined, and the candidate thermal pathway with the highest thermal pathway risk score is identified as the worst thermal pathway.

[0013] As an optional approach, the calculation of the single-area risk index for each key control area includes: The minimum temperature deviation characteristics are determined based on the minimum temperature of the critical control area and the minimum allowable temperature corresponding to that critical control area. The internal temperature difference characteristics of a critical control area are determined based on the internal temperature difference of that critical control area and the allowable temperature difference threshold corresponding to that critical control area. The risk characteristics of the thermal pathway are determined based on the risk score of the worst thermal pathway; the temperature change trend characteristics are determined based on the regional average temperature change rate of the key control area; and the aforementioned characteristics are fused based on the pre-stored risk fusion weight coefficient to obtain a single-region risk index.

[0014] As an optional approach, the generation of a comprehensive system risk index based on the risk indices of each individual region includes: For the release valve body area, drive actuator area and power supply unit area, obtain the corresponding single-area risk index; The risk index of each single region is weighted according to the pre-stored regional importance coefficient, and the maximum value is taken; and the maximum value is determined as the system comprehensive risk index, wherein the regional importance coefficient remains unchanged during the execution of the same task.

[0015] According to a second aspect of the embodiments of this application, a perfluorohexanone fire extinguishing grenade self-control system is also provided, comprising: The data acquisition module is used to acquire the environmental parameter set, surface temperature data set, and mission status data set of the fire extinguishing bomb within the current control cycle; The regional temperature analysis module is used to map each surface sampling unit in the surface temperature data set to the corresponding functional sensitive area based on the pre-stored structural partition mapping table, and to calculate the regional average temperature, regional minimum temperature, regional maximum temperature, regional internal temperature difference and regional average temperature change rate for each functional sensitive area, forming a regional temperature state vector. The thermal pathway analysis module is used to establish a thermal pathway diagram composed of functionally sensitive regions based on a pre-stored regional connection relationship table, and to calculate the heat flow influence of each region connection edge in the thermal pathway diagram by combining the set of environmental parameters and the regional temperature state vector. The worst-case path determination module is used to extract candidate thermal paths from the thermal path map for key control areas and determine the worst-case thermal path based on the cumulative thermal impact of each candidate thermal path. The risk index calculation module is used to calculate the single-area risk index of each key control area based on the regional temperature state vector and the worst thermal path of the key control area, and to generate the system comprehensive risk index based on the single-area risk index. The control status output module is used to output the system-level control status of the fire extinguishing bomb based on the system comprehensive risk index and the risk classification threshold corresponding to each key control area.

[0016] According to a third aspect of the embodiments of this application, an electronic device is provided, including: a processor; and a memory for storing a computer program executable by the processor; wherein the processor is configured to execute the computer program in the memory to implement the method described in the first aspect.

[0017] According to a fourth aspect of the embodiments of this application, a computer-readable storage medium is provided, which, when an executable computer program in the storage medium is executed by a processor, enables the implementation of the method described in the first aspect.

[0018] This application transforms surface temperature sampling data of the fire extinguishing projectile into regional temperature state vectors for functionally sensitive areas according to structural zoning mapping relationships. Based on regional connectivity, a thermal path diagram is established, and the heat flow influence of regional connection edges is calculated in conjunction with environmental parameters. This allows for cumulative thermal impact analysis of candidate thermal paths leading to critical control areas, identifying the worst thermal path. Furthermore, by integrating minimum temperature deviation characteristics, internal regional temperature difference characteristics, thermal path risk characteristics, and temperature change trend characteristics, a single-region risk index is formed. This is further used to generate a comprehensive system risk index, enabling a comprehensive assessment of the thermal state and propagation trend of key components in the fire extinguishing projectile. Compared to existing methods that rely solely on single-point temperature or simple thresholds, this application simultaneously reflects local temperature states and inter-regional heat transfer influences, making control decisions more consistent with actual heat propagation patterns. This improves the accuracy of fire extinguishing projectile state identification and the reliability of control decisions under complex environmental conditions.

[0019] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Furthermore, no embodiment in this disclosure is required to achieve all the effects described above. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0021] Figure 1 This is a schematic diagram of a self-control method for perfluorohexanone fire extinguishing bombs provided in an embodiment of this disclosure.

[0022] Figure 2 This is a schematic diagram illustrating the process of forming a regional temperature state vector according to an embodiment of this disclosure.

[0023] Figure 3 This is a schematic diagram illustrating the process of constructing a thermal path diagram and determining the worst thermal path provided in the embodiments of this disclosure.

[0024] Figure 4 This is a schematic diagram illustrating the process of calculating the single-area risk index and the system comprehensive risk index, as well as obtaining the system-level control status, provided in the embodiments of this disclosure.

[0025] Figure 5 This is a schematic diagram of the structure of a perfluorohexanone fire extinguishing bomb self-control system provided in an embodiment of this disclosure. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0027] This implementation method applies to the automatic control processing of fire extinguishing bombs loaded with perfluorohexanone extinguishing agent during stages such as storage and transportation conversion, loading and standby, hovering near the fire site, entering the delivery window, and pre-delivery status confirmation. The execution entity is a control computing unit located within the fire extinguishing bomb itself, or a task control computing unit electrically connected to the fire extinguishing bomb. The control computing unit includes at least a processor, memory, input interface, and output interface. The memory pre-stores a structure partition mapping table, a region connection relationship table, a region thermal parameter table, a risk parameter table, and a status buffer. The input interface receives a set of environmental parameters, a set of surface temperature data, and a set of task status data. The output interface outputs an allowed status, a delayed status, or a prohibited status.

[0028] The implementation process of the method described in this application will be described in detail below with reference to specific embodiments. It should be noted that this embodiment is only used to explain this application and is not intended to limit the scope of protection of this application. Conventional adjustments or substitutions of each step by those skilled in the art without departing from the concept of this application should be included in the scope of protection of this application.

[0029] Figure 1 This is a flowchart of the self-control method for perfluorohexanone fire extinguishing bombs according to an embodiment of the present invention, as shown below. Figure 1 As shown, the method includes steps S1-S3: In step S1, the environmental parameter set, surface temperature data set, and mission status data set of the fire extinguishing bomb within the current control cycle are obtained.

[0030] In one implementation, the control computing unit completes parameter loading and cache initialization before entering the task cycle. Specifically, the structural partition mapping table provides a one-to-one correspondence between surface sampling units and functionally sensitive regions; the region connectivity table indicates whether there is a direct thermal coupling relationship between different functionally sensitive regions; the region thermal parameter table provides the equivalent structural thermal coupling coefficient, minimum allowable temperature, allowable temperature difference threshold, path transmission attenuation coefficient, and region-related normalized scale parameters; the risk parameter table provides the risk fusion weight coefficient, region importance coefficient, and risk classification threshold; and the state cache stores the region average temperature, region temperature state vector, worst thermal path, and system-level control state from the previous control cycle. All the aforementioned tables maintain version consistency during task execution. If model changes or maintenance recalibration are involved, replacements are completed before the task begins and are not changed online within a single control cycle.

[0031] In some embodiments, the environmental parameter set consists of ambient air temperature, relative airflow state, mission altitude state, and external radiant heat state; the surface temperature data set consists of the temperature value sequence of the surface sampling units; and the mission status data set consists of the current mission stage identifier, action preparation identifier, and status maintenance identifier. To ensure data consistency within the same control cycle, the control calculation unit performs timestamp alignment processing on the three types of input data. If the sampling frequencies of different data sources are different, the most recent time matching or interpolation matching is performed based on the control cycle time. After time alignment, unified input data for the current control cycle is obtained, and then it enters the subsequent processing flow.

[0032] For surface sampling units, it should be noted that they are discrete sampling units obtained by dividing the outer surface geometry of the fire extinguishing projectile. These can be regular mesh units or irregular units adapted to the three-dimensional structural surface. Each surface sampling unit is assigned a unique identifier during the structural design phase, and its region affiliation is pre-written in the structural partitioning mapping table. This is because subsequent region statistics, interface sampling extraction, and thermal path calculation all rely on the unique affiliation of surface sampling units. If a surface sampling unit is repeatedly affixed, it will lead to statistical distortion of the region's average temperature, internal temperature difference, and interface temperature difference.

[0033] In this embodiment, the functionally sensitive areas of the fire extinguishing bomb are divided into the following zones according to the structural layout and control chain influence: extinguishing agent storage area, release valve body area, drive actuator area, power supply unit area, control trigger unit area, structural connection thermal bridge area, windward outer shell area, and leeward outer shell area. The functionally sensitive area refers to the area whose temperature state directly affects the continuity, coordination, or interlocking of the release action chain. The structural connection thermal bridge area refers to the easily heat-transferring area formed by connecting ribs, mounting seats, hanging point connections, thick-walled connectors, or other heat-conducting continuous components. The windward and leeward outer shell areas refer to the shell areas determined by the current mission attitude and the main relative airflow direction. The release valve body area, drive actuator area, and power supply unit area are designated as critical control areas because temperature increases, local temperature differences, or enhanced cooling paths in these areas will directly alter the action determination conditions.

[0034] Regarding the determination of the windward and leeward shell areas, in some embodiments, the control computing unit updates the shell orientation based on attitude information in the task state data set. If the angle between the relative airflow direction and the shell surface normal changes significantly, the labels of the windward and leeward shell areas are updated accordingly. To avoid frequent switching causing regional thermal state fluctuations, optionally, an attitude switching hysteresis condition is set before updating; that is, the labels of the windward and leeward shell areas are only updated when the direction change exceeds a preset angle condition and continues to reach a preset duration condition. These preset angle and duration conditions are given by ground test statistics or design presets and remain unchanged during the execution of the same task.

[0035] Once the input data alignment and functionally sensitive regions are determined, the control computation unit enters the process of constructing the regional temperature state vector. The focus of this part is to transform the dispersed surface sampled temperature sequence into regional-level state variables corresponding to the structural function, and to provide a unified input for subsequent calculations of thermal pathway maps and risk indices.

[0036] In step S2, based on the pre-stored structural partition mapping table, each surface sampling unit in the surface temperature data set is mapped to the corresponding functional sensitive region, and the average temperature, minimum temperature, maximum temperature, internal temperature difference, and average temperature change rate of each functional sensitive region are calculated to form a region temperature state vector.

[0037] Figure 2 A schematic diagram illustrating the formation process of the regional temperature state vector provided in an embodiment of this disclosure is shown. For example... Figure 2 As shown, in step S201, the surface sampling unit's mapping and the original temperature sequence are read. In one implementation, the control calculation unit traverses the surface sampling unit temperature values ​​of the current control cycle according to the structure partitioning mapping table. Let the total number of surface sampling units be... , No. The temperature value of each surface sampling unit in the current control cycle is recorded as follows: ,in This indicates the current control cycle time. If the... The surface sampling unit belongs to the first For each functionally sensitive region, the temperature value is written into the corresponding sampling sequence after mapping. Therefore, for any functionally sensitive region... This allows us to obtain the set of sampling unit indices corresponding to that region: in, Indicates the first Region assignment markers for each surface sampling unit. Indicates the area The set of sampling units. This set remains fixed without changing the structural layout, with only the windward and leeward shell regions adjusting as the attitude is updated.

[0038] If there are missing samples in a certain control cycle, a missing sample completion process can be performed first in practical applications. For example, when the proportion of missing sampling units is lower than a preset missing proportion threshold, it is supplemented with the average temperature of adjacent surface sampling units in the same area or the temperature value of the corresponding sampling unit in the previous control cycle; when the missing proportion reaches or exceeds the preset missing proportion threshold, the control calculation unit marks this cycle as a low-confidence cycle and increases the conservatism level when generating subsequent system-level control states. The preset missing proportion threshold can be set according to system data integrity requirements and can be configured as a proportion value between 0 and 1.

[0039] In step S202, neighborhood consistency screening is performed on the temperature values ​​of each surface sampling unit. To reduce the impact of local noise points, thermal reflection anomalies, and instantaneous outliers on the regional statistical results, neighborhood consistency screening is performed on the temperature values ​​of each surface sampling unit before calculating the regional average temperature, regional minimum temperature, and regional maximum temperature. Neighborhood consistency screening refers to comparing the temperature value of the target surface sampling unit with the temperature values ​​of multiple surface sampling units within its geometric neighborhood, and correcting for sampling points that deviate significantly using neighborhood statistical values.

[0040] Specifically, for target surface sampling units First, the set of neighborhood cells is obtained based on the surface mesh topology. Then calculate the median temperature in the neighborhood: in, This represents the median temperature in the neighborhood of the target surface sampling unit. The deviation between the temperature of the target surface sampling unit and the median temperature of its neighborhood is then calculated: in, This is the deviation. When Greater than the preset deviation threshold At that time, with replace ;when If the temperature is not greater than this threshold, retain the original temperature value. Preset deviation threshold. The definition of is the temperature difference threshold for judging abnormal sampling points in the neighborhood consistency screening. Its value range is a positive temperature difference, which can be determined by static test noise statistics, the accuracy range of surface sampling devices, or pre-task calibration data.

[0041] After neighborhood consistency screening, the control calculation unit obtains the corrected surface sampling temperature sequence. The reason for this processing is that the subsequent minimum temperature deviation feature is directly taken from the regional minimum temperature. If isolated outliers are not eliminated, it is very easy to trigger the low temperature risk assessment erroneously. However, by using the neighborhood temperature median correction, the regional state statistics can be made closer to the real heat distribution.

[0042] In step S203, regional statistics are calculated, including the regional average temperature, the regional minimum temperature, the regional maximum temperature, and the temperature difference within the region.

[0043] Based on the corrected surface sampling temperature sequence, the control calculation unit calculates the average temperature, minimum temperature, maximum temperature, and internal temperature difference of each functionally sensitive region. For each region... Let the number of its sampling units be... The regional average temperature is defined as: in, Let be the regional average temperature, with the dimension of temperature. The regional minimum temperature is defined as: The highest temperature in a region is defined as: The temperature difference within a region is defined as: in, This refers to the temperature difference. For the release valve body area, drive actuator area, and power supply unit area, the internal temperature difference reflects the uniformity of heat distribution within the same functional area. If this amount increases, it indicates that local uneven heat conduction, uneven boundary heat transfer, or the influence of structural thermal bridges is intensifying.

[0044] Optionally, in some embodiments, to facilitate comparison of temperature distribution in different regions, regional temperature dispersion can also be calculated. For example, the standard deviation of regional sampled temperatures can be used to describe the degree of dispersion. However, in this embodiment, the core of the control chain uses the temperature difference within a region; therefore, regional temperature dispersion exists as an auxiliary monitoring quantity and is not included in subsequent necessary calculations.

[0045] In step S204, the regional average temperature change rate is determined. The regional average temperature change rate characterizes the current regional temperature change trend. The control calculation unit reads the regional average temperature of the corresponding region from the state buffer in the previous control cycle, denoted as... ,in This indicates the duration of the control cycle. The regional average temperature change rate for the current control cycle is defined as: in, This represents the temperature change rate. If the current control cycle is the first execution cycle and the average temperature of the region from the previous control cycle is not present in the state buffer, then the average temperature change rate of the region is initialized to zero, or the initial change rate is obtained by fitting preheating data from before the task starts.

[0046] In step S205, after completing the aforementioned calculations, the control calculation unit generates a region temperature state vector for each functionally sensitive region. For each region... Its regional temperature state vector is defined as: Each component corresponds to the regional average temperature, regional minimum temperature, regional maximum temperature, regional internal temperature difference, and regional average temperature change rate, respectively. Subsequently, the control calculation unit combines the regional temperature state vectors of all functionally sensitive areas to form a regional state set, which is written into the state buffer to provide input for subsequent thermal path map construction and risk index calculation.

[0047] Thus, the surface sampled temperature sequence is converted into state variables that directly correspond to the functional regions of the structure. This process solves the problem of the lack of a clear correspondence between discrete surface temperature data and the controlled object, so that subsequent calculations no longer rely on single-point temperatures, but on the regional thermal states of a unified structure.

[0048] After completing the formation of the regional temperature state vector, the control calculation unit also needs to handle the regional interface relationships. This is because the heat flow influence in the thermal pathway diagram is not only related to the overall average temperature difference of the region, but also to the local temperature difference on the interface of directly adjacent regions. The latter is more sensitive to structural thermal bridges, localized cooling, and asymmetric heating.

[0049] In some embodiments, for two functionally sensitive regions marked as directly adjacent in the region connectivity table, the control calculation unit pre-stores their interface sampling unit sets. If the region With the region If they are directly adjacent, extract the sampling unit sets on both sides of the interface and calculate the average temperature on both sides of the interface. Let the region... The average interface temperature on one side is ,area The average interface temperature on one side is The temperature difference at the interface of the region is defined as: in, The sign indicates the direction of the thermal gradient, and the absolute value indicates the magnitude of the gradient. This quantity will be used directly when effectively driving the formation of the temperature difference.

[0050] In practical implementation, the interface sampling unit set is jointly determined by the correspondence between the 3D structural model and the surface sampling mesh. If the interface of a pair of directly adjacent regions is too small, resulting in an insufficient number of available sampling units, a layer of mesh around the interface can be included in the supplementary interface set. In this case, this expansion rule needs to be written into the region connectivity table during the parameter loading stage to ensure data consistency.

[0051] In step S3, a thermal path diagram consisting of functionally sensitive regions is established based on a pre-stored regional connection relationship table, and the heat flow influence of each regional connection edge in the thermal path diagram is calculated by combining the environmental parameter set and the regional temperature state vector; for key control regions, candidate thermal paths are extracted from the thermal path diagram, and the worst thermal path is determined based on the cumulative heat influence of each candidate thermal path.

[0052] After obtaining the regional temperature state vector and the regional interface temperature difference, the control computing unit proceeds to the thermal path graph construction process. A thermal path graph is a graph structure that uses functionally sensitive regions as nodes, direct thermal coupling relationships between regions as connecting edges, and edge weights to characterize the intensity of thermal influence between regions. The worst-case thermal path is the candidate heat propagation path leading to the critical control region that is most unfavorable to its current thermal state.

[0053] Please see Figure 3 , Figure 3 A schematic diagram illustrating the process of constructing a heat path map and determining the worst heat path provided in an embodiment of this disclosure is shown. Figure 3 As shown, in step S301, heat path graph nodes and region connection edges are established.

[0054] In one implementation, the heat path diagram is denoted as: in, For a set of region nodes, For the set of edges connecting regions, This is the set of edge weights for the current control cycle. The set of region nodes consists of all functionally sensitive regions, namely, the extinguishing agent storage area, the release valve body area, the drive actuator area, the power supply unit area, the control trigger unit area, the structural connection thermal bridge area, the windward shell area, and the leeward shell area. The set of region connection edges is established based on a pre-stored region connection relationship table. If two regions have direct structural contact, form a stable thermal conduction relationship through connectors, or have a direct thermal influence relationship that needs to be included in the calculation, then a region connection edge is established between these two regions.

[0055] For example, regional connection edges can be established between the windward outer shell area and the structural connection thermal bridge area; between the structural connection thermal bridge area and the release valve body area; between the release valve body area and the extinguishing agent storage area; between the drive actuator area and the release valve body area; and between the power supply unit area and the control triggering unit area. The specific connection relationships should match the actual structure and, once entered into the regional connection relationship table, should remain consistent for that model and implementation configuration.

[0056] In step S302, basic edge weights and dynamic environment correction coefficients are formed. For each region connection edge in the thermal path graph, the control calculation unit first determines the basic edge weight based on the pre-stored equivalent structural thermal coupling coefficient. Let the region... To the area The region connection edge is Its basic edge weight is denoted as The equivalent structural thermal coupling coefficient is defined as the regional thermal influence capacity corresponding to a unit driven temperature difference between two regions under standard environmental conditions. It can be derived from finite element thermal analysis calibration results, thermal test regression results, or design preset values.

[0057] Considering that relative airflow conditions, external radiant heat conditions, and mission altitude conditions can alter inter-region heat exchange conditions, the control calculation unit also needs to generate dynamic environmental correction coefficients for each region connection edge. Let the region connection edge... The dynamic environment correction factor is It is defined as a time-varying correction factor for the weights of the basic edges.

[0058] In one implementation, the dynamic environment correction factor can be composed of a relative airflow state correction, an external radiative heat state correction, and a mission altitude state correction. For example, it can be written as: in, , and These are the airflow correction weight, radiation correction weight, and altitude correction weight, respectively, all of which are positive coefficients. , and These are corrections obtained based on relative airflow conditions, external radiative heat conditions, and mission altitude conditions, respectively.

[0059] It is determined based on the ratio of the current relative airflow velocity to the preset base airflow velocity, and is limited to the range of [0,1]. The value is determined based on the ratio of the current external radiative heat flux density to the preset maximum radiative heat flux density, and is limited to the range of [0, 1]. The weighting coefficients are determined based on the ratio of the current mission altitude to the preset reference altitude, or obtained by referring to a preset altitude-convection attenuation coefficient table, and are limited to the range [0, 1]. These three weighting coefficients are not updated during the mission cycle.

[0060] Subsequently, the control calculation unit determines the edge weights for the current control cycle based on the basic edge weights and dynamic environment correction coefficients. Let the region connection edges... The current edge weight is ,but: in, Indicates the current control cycle region With the region The overall thermal coupling strength between them.

[0061] In step S303, the effective driving temperature difference and heat flux influence are calculated. In this embodiment, the heat flux influence at the region connection edge considers both the region average temperature difference and the region interface temperature difference. Let the region... With the region The effective driving temperature difference between them is Then it can be written as in, and To effectively drive the temperature difference fusion weighting coefficients, all are non-negative coefficients and satisfy the following conditions: The definition is the weight of the regional average temperature difference in the effective driving temperature difference. The value of is defined as the weight of the regional interface temperature difference in the effective driving temperature difference. Both can be given through thermal test statistics or preset methods.

[0062] If the thermal bridging effect of the structure is strong, it can improve... If the overall heat capacity of the region is more significantly affected, then it can be increased. During the execution of the same task, the weighting coefficients of these two items remain constant.

[0063] Based on the current edge weights and effective driving temperature difference, the heat flux influence of the connecting edges in the computational region of the computational unit is controlled. Let... The influence of heat flow is ,but: in, The sign indicates the direction of the heat effect, and the absolute value indicates the intensity of the heat effect. If If positive, it indicates the region For the region The thermal effect is dominant in the current modeling direction; if negative, it indicates that the thermal effect is dominant in the opposite direction. This thermal effect serves as the basis input for the cumulative thermal effect of subsequent candidate thermal pathways.

[0064] In step S304, candidate thermal paths are extracted from the thermal path diagram. In some embodiments, the control calculation unit uses the release valve body area, drive actuator area, and power supply unit area as endpoint nodes to extract candidate thermal paths from the thermal path diagram. A candidate thermal path is defined as a path starting from any non-endpoint area and reaching the critical control area via one or more area connection edges. To balance computational real-time performance and physical interpretability, the path order is set to no greater than a preset path order. The path order refers to the number of area connection edges contained in the path. This parameter can be configured as a positive integer and is usually determined by structural complexity and real-time computing resources. If the path order is set too high, too many far-end weakly coupled paths will be introduced; if the path order is too low, multiple unfavorable paths formed by structural thermal bridge conduction may be missed.

[0065] The control calculation unit retrieves all paths that terminate at the critical control region and whose path order meets the condition from the regional connectivity table, and writes them into the candidate hot path set. Each candidate hot path contains a path node sequence, a path edge sequence, and the corresponding endpoint critical control region identifier.

[0066] In step S305, for any candidate heat path, the control calculation unit calculates the cumulative heat impact based on the heat flow influence of each region's connecting edge and the transmission attenuation coefficient along the path. Let a candidate heat path be: in, This is a critical control area. Let be the order of the path. Let the i-th order of the path be... The transmission attenuation coefficient of the connecting edge of the region is The transmission attenuation coefficient is defined as the proportion of thermal effects that decrease as they propagate along the connecting edges of the region. It is a positive value, ranging from 0 to 1. This parameter is given by the regional thermal parameter table, and its source can be the calculated interfacial thermal resistance, the fitting results of structural thermal tests, or the design preset value. The larger the interfacial thermal resistance, the smaller the corresponding transmission attenuation coefficient; the better the thermal conductivity continuity, the larger the corresponding transmission attenuation coefficient.

[0067] In one implementation, the cumulative thermal impact of the candidate thermal pathway is denoted as... It shall be determined as follows: in, This indicates the time corresponding to the current control cycle.

[0068] in, This indicates the path order of the candidate hot path, which is the number of region connecting edges contained in the path. In other words, it represents the total number of regions traversed from the starting region to the ending region. A connecting edge.

[0069] in, It is the index of the edge in the path, and its value range is... arrive This is used to sequentially represent the connection relationship of each region on the path.

[0070] in, Indicates the path from the region To the area The transmission attenuation coefficient of the connecting edge in this region.

[0071] in, Indicates the first path The edge connecting the regions at time The influence of heat flux is defined above.

[0072] in, The sign function is used to preserve the direction of thermal influence at the critical control region at the endpoint.

[0073] By using the smallest absolute value of the heat flow influence along the path as the bottleneck heat influence, and then multiplying it by the transmission attenuation coefficient, the constraint of the most restricted link in the series path on the overall heat propagation can be reflected. This approach can avoid the situation where a local high-value edge masks the overall restriction of the entire path.

[0074] In step S306, the temperature margin, thermal path risk score, and worst-case thermal path are calculated. After obtaining the cumulative heat impact, the control calculation unit also needs to determine the risk level of candidate thermal paths based on the current state of the critical control area at the endpoint. Therefore, the temperature margin of the critical control area is first defined. Let the critical control area be... The minimum allowable temperature is This parameter is derived from the regional thermal parameter table and is determined jointly by ground functional tests, the allowable operating range of materials, and the system's operational boundaries. Therefore, the current temperature margin is defined as: in, The smaller the value, the closer the critical control area is to the minimum allowable temperature boundary.

[0075] Subsequently, the control calculation unit calculates the heat path risk score by combining the cumulative heat impact, temperature margin, and internal temperature difference. Candidate heat paths are then defined. The corresponding endpoint critical control area is Its thermal pathway risk score is recorded as In one implementation, it can be determined in the following form: in, For the sensitive weighting coefficient of the key control area, This is the amplification factor for the state of the critical control area. This is the path direction effectiveness factor.

[0076] Sensitive weight coefficient of critical control area The value is defined as the relative sensitivity of different critical control areas to thermal anomalies. It can be derived from prototype functional verification test statistics, system action chain analysis, or design presets. The value range is positive; a larger value indicates a more sensitive critical control area to thermal anomalies. This coefficient remains constant during task execution and is only recalibrated during maintenance or model revision.

[0077] State amplification factor This is used to reflect the amplification of the impact of the current state of the critical control area on the same thermal pathway. If the critical control area is already close to the minimum allowable temperature or the internal temperature difference is already large, then the same cumulative thermal impact should receive a higher risk score. In one implementation, in, and These are state amplification weighting coefficients, all of which are non-negative and are determined by statistical calibration or design presets. To prevent tiny positive quantities with a denominator of zero; The allowable temperature difference threshold for the critical control area is derived from the regional thermal parameter table. This formula indicates that the smaller the temperature margin, or the closer the temperature difference within the area is to the allowable threshold, the larger the state amplification factor.

[0078] Path direction effectiveness factor This is used to determine whether a candidate thermal pathway currently constitutes an unfavorable direction. If the cumulative thermal influence direction of the candidate thermal pathway causes the temperature in the critical control area to change in an unfavorable direction, or further expands the local temperature difference in the critical control area, then... The value is taken as valid; otherwise, the lower value or zero is taken. Specific judgment rules can be given based on the current temperature margin and temperature difference status of the critical control area. When the current temperature margin is small, the path that reduces the average temperature of the critical control area is considered an unfavorable path; when the temperature difference within the current area is close to the allowable threshold, the path that causes the interface temperature difference to continue to expand is considered an unfavorable path.

[0079] The control calculation unit calculates the heat path risk score for all candidate heat paths leading to the same critical control area, and identifies the candidate heat path with the highest heat path risk score as the worst heat path. Let the endpoint critical control area be... Then its worst thermal pathway is denoted as And satisfy: ,in, Indicates arrival at the critical control area The set of candidate hot pathways. The corresponding maximum risk score is denoted as... The control calculation unit performs the above processing on the release valve body area, the drive actuator area, and the power supply unit area respectively, thereby obtaining the worst thermal path and thermal path risk score corresponding to the three key control areas.

[0080] Therefore, the indirect adverse effects caused by localized cooling, asymmetric heating of the outer shell, and structural thermal bridging can be explicitly quantified. The technical problem addressed by this approach is that it is difficult to identify the source of risk in a timely manner based solely on the current temperature of the critical control area. However, by extracting candidate thermal pathways and determining the worst-case thermal pathway, the risk chain can be traced from the outcome node to the propagation path.

[0081] In step S3, based on the regional temperature state vector and the worst thermal path of the key control area, the single-area risk index of each key control area is calculated, and the system comprehensive risk index is generated based on the single-area risk index. Based on the comprehensive risk index of the system and the risk classification thresholds corresponding to each key control area, the system-level control status of the fire extinguishing bomb is output.

[0082] After determining the worst thermal pathway, the control calculation unit enters the system-level risk index generation and status output stage. This part integrates the region's lowest temperature, the temperature difference within the region, the thermal pathway risk score, and the temperature change trend to obtain a more complete status for the current control cycle.

[0083] Please see Figure 4 , Figure 4This illustration shows a schematic diagram of the calculation process for single-area risk index and system comprehensive risk index, as well as the process for obtaining system-level control status, provided in an embodiment of this disclosure. For example... Figure 4 As shown, in step S401, for each critical control area, the control calculation unit extracts single-area risk features based on its area temperature state vector and worst thermal pathway. These features are: minimum temperature deviation feature, area internal temperature difference feature, thermal pathway risk feature, and temperature change trend feature.

[0084] For the minimum temperature deviation characteristic, a critical control area is defined. The current lowest temperature in the area is The minimum allowable temperature is The temperature normalized scaling parameter is The temperature normalization scaling parameter is defined as the parameter used to convert the minimum temperature deviation into a scaling parameter in temperature. This parameter can be determined by the allowable operating temperature bandwidth of the critical control area, statistical sample distribution, or experimental experience. The minimum temperature deviation characteristic is then denoted as: When the minimum temperature in the area is not lower than the minimum allowable temperature, this characteristic is zero; when it is lower than the minimum allowable temperature, this characteristic increases with the degree of deviation.

[0085] Regarding the temperature difference characteristics within the region, let the current internal temperature difference of the key control area be... The allowable temperature difference threshold is The normalized scaling parameter for temperature difference is The temperature difference characteristics within the region are then denoted as: Among them, the temperature difference normalized scale parameter The definition is to convert the temperature difference deviation into a scale parameter, and its value range is a positive temperature difference, which can be given by thermal test statistics or empirical configuration.

[0086] For the risk characteristics of thermal pathways, the risk score of the worst thermal pathway is directly used, combined with the thermal pathway risk normalization scaling parameter. Normalization is performed. The risk characteristics of the thermal pathway can be denoted as: in, The definition of is the normalized scaling parameter of the thermal pathway risk quantity, which can be derived from the statistical quantile value, experimental calibration value, or design preset value of the thermal pathway risk score under typical operating conditions.

[0087] For the characteristics of temperature change trends, the regional average temperature change rate of the key control area is used and denoted as... And combined with the normalized scaling parameter of the rate of change Normalization is then performed. The characteristic of the temperature change trend is then denoted as: in, The value is defined as a temperature change rate scale parameter, with units of temperature change rate, and can be obtained from historical data statistics. The temperature change trend characteristic reflects whether the key control area is in a state of continuous cooling. If it is heating up or remaining stable, this characteristic is set to zero.

[0088] In step S402, the risk index for a single region is calculated based on the risk fusion weighting coefficient. The control calculation unit pre-stores the risk fusion weighting coefficient in the risk parameter table. For critical control areas... Let their risk fusion weight coefficients be respectively , , and These correspond to the minimum temperature deviation characteristic, the temperature difference characteristic within the region, the thermal pathway risk characteristic, and the temperature change trend characteristic, respectively. They are defined as the relative contribution ratio of each risk characteristic to the single-region risk index, all of which are non-negative coefficients and satisfy the following: These weighting coefficients can be determined through statistical regression of successful and failed prototype actions, or they can be preset by designers based on the thermal sensitivity of the structure and then corrected through iterative experiments. If determined statistically, a mapping relationship can be established between the probability of action failure and the above four types of characteristics, and each weighting coefficient can be obtained by minimizing the fitting error. This set of weighting coefficients remains unchanged during the execution of the same task.

[0089] Therefore, the single-region risk index is denoted as The calculation method is as follows: in, The risk level is calculated independently for the release valve body area, drive actuator area, and power supply unit area.

[0090] In step S403, the system comprehensive risk index is calculated based on the single-area risk index. After obtaining the single-area risk indices of the three key control areas, the control calculation unit performs system-level comparison processing on them. The risk parameter table pre-stores the area importance coefficients, corresponding to the release valve body area, the drive actuator area, and the power supply unit area, respectively. Let them be respectively... , and The regional importance coefficient is defined as the converted value of the relative importance of the critical control area in the overall action chain. Its source can be action chain failure impact analysis, functional verification statistics, or design presets. Its value ranges from positive and remains constant throughout the execution of the same task.

[0091] In one implementation, the system comprehensive risk index is denoted as... The results were obtained through comparison: The reason for using the maximum value comparison is that when any key control area reaches a high risk level, the entire action chain is restricted. Therefore, using the maximum weighted risk to reflect the overall risk of the system is more in line with the interlocking logic.

[0092] In step S404, a regional control conclusion is generated based on the risk classification threshold. The control calculation unit pre-stores safety thresholds and warning thresholds for each critical control region. Let the critical control region be... The corresponding security threshold is The warning threshold is Both are dimensionless risk thresholds and satisfy the following conditions: The data can be derived from prototype test statistics, action boundary tests, or design presets. These two thresholds are used to divide the single-area risk index into safe zones, delayed zones, and prohibited zones.

[0093] Specifically, when the single-region risk index When the risk index is below the safety threshold, a control conclusion for the permitted area is generated; when the risk index of a single area is not less than the safety threshold and is less than the warning threshold, a control conclusion for the delayed area is generated; when the risk index of a single area is not less than the warning threshold, a control conclusion for the prohibited area is generated. In this way, the three key control areas each obtain their own area control conclusion.

[0094] In step S405, the control calculation unit generates a system-level control state based on the regional control conclusions and the system comprehensive risk index.

[0095] Specifically, if the regional control conclusion for any critical control area is prohibited, the system-level control state is set to prohibited; if there is no prohibited conclusion but at least one delayed conclusion, the system-level control state is set to delayed; if all critical control areas have permitted conclusions and the system's comprehensive risk index does not meet the system-level additional restrictions, the system-level control state is set to permitted. The system-level additional restrictions mentioned here can be pre-stored in the risk parameter table as system-level thresholds, or they can be directly adopted using the regional control conclusion interlocking rules without setting new restrictions. In this embodiment, to maintain structural simplicity, the regional control conclusion interlocking rules are used as the primary method.

[0096] After generating the system-level control state, the control calculation unit writes the regional temperature state vector, the worst thermal path, and the system-level control state for the current control cycle into the state buffer. The purpose of writing this information into the state buffer is to provide a basis for calculating the regional average temperature change rate, maintaining the state, and determining the delay release condition for the next control cycle. If the system-level control state is a delayed state or an inactive state, the corresponding duration period can be further written into the state buffer for the next control cycle to determine whether the state release condition is met.

[0097] Regarding state maintenance, in some embodiments, a de-hysteresis mechanism can be set. Specifically, when the system-level control state recovers from a delayed state or a prohibited state to a permitted state, it is not immediately de-hysterized, but rather requires the permitted conditions to be met for a certain number of consecutive control cycles before switching. This number of consecutive cycles can be preset by the control rules. If the system-level control state switches from a permitted state to a delayed state or a prohibited state, it can take effect immediately. This mechanism helps prevent frequent jitter near the boundary state.

[0098] In practical implementation, the relative airflow state in the environmental parameter set can be obtained by combining the flight velocity vector and attitude information; the external radiant heat state can be obtained by combining the fire direction information and surface irradiation conditions; and the mission altitude state can be directly obtained from navigation or mission system input. The surface temperature data set can come from the surface thermal state acquisition module or the thermal state estimation module. The mission state data set can be directly written into the control calculation unit by the mission control logic.

[0099] In one example, if the current control cycle is in the near-fire-ready-to-be-activated stage, the windward outer shell area is continuously cooled by relative airflow, while the leeward outer shell area experiences a temperature rise due to external radiant heat. There is a strong thermal connection between the structural connection thermal bridge area and the release valve area. After the control calculation unit completes the formation of the regional temperature state vector, it may find that the current average temperature of the release valve area is still higher than the minimum allowable temperature, but the internal temperature difference has increased, and the candidate thermal path from the windward outer shell area through the structural connection thermal bridge area to the release valve area has a high thermal path risk score. Subsequently, in the single-region risk index calculation, the thermal path risk characteristics and temperature change trend characteristics will jointly increase the risk index of the release valve area, causing the system-level control state to enter a delayed state or a prohibited state. Thus, the control logic reflects both the current local temperature state and the unfavorable heat propagation trend.

[0100] For example, in another scenario, if the current minimum temperature of the energy supply unit area is close to the minimum allowable temperature, but its temperature trend has turned upward, and the thermal impact of candidate thermal pathways leading to the energy supply unit area is low, then although the minimum temperature deviation characteristic of the energy supply unit area is not zero, the thermal pathway risk characteristic and the temperature trend characteristic will not increase synchronously. After risk fusion, the risk index of a single area in the energy supply unit area may fall in the delayed zone rather than the prohibited zone, and the system-level control state will remain in a delayed state until re-determined in subsequent control cycles. This approach ensures that the system-level control state is not triggered by a single temperature point, but is determined by the overall thermal state.

[0101] Regarding parameter updates, it should be noted that the structural partition mapping table, regional connection relationship table, equivalent structural thermal coupling coefficient, transmission attenuation coefficient, minimum allowable temperature, allowable temperature difference threshold, risk fusion weight coefficient, regional importance coefficient, and risk classification threshold are not updated online during individual task execution. This is because this implementation serves control interlocking, requiring traceability of parameter sources and verifiability of processing logic. If updates are indeed necessary, offline recalibration can be performed during ground maintenance or software upgrades using newly added experimental data or a new version of the structural model, and then the new parameters can be written into memory. The regional average temperature, regional temperature state vector, worst thermal path, and system-level control state in the state buffer are updated at the end of each control cycle because they are runtime state variables.

[0102] Optionally, in some implementations, to further constrain the stability of the system-level control state, a sliding window smoothing process can be set for the system's comprehensive risk index. For example, a weighted average of the system's comprehensive risk index over the most recent control cycles can be calculated before participating in the system-level control state determination. If this processing is adopted, the sliding window length and window weight need to be preset in the control rules and kept consistent with the state buffer reading logic.

[0103] In summary, the entire control cycle first acquires a set of environmental parameters, surface temperature data, and task status data under a unified time reference. Secondly, based on the structural partitioning mapping table, surface sampling units are mapped to their corresponding functionally sensitive regions, and a regional temperature state vector is constructed. Next, a thermal path diagram is established based on the regional connection relationship table. Combining the equivalent structural thermal coupling coefficient, dynamic environmental correction coefficient, regional average temperature difference, and regional interface temperature difference, the heat flow impact of regional connection edges is calculated. Subsequently, the cumulative heat impact and risk score are calculated for candidate thermal paths reaching critical control regions to determine the worst thermal path. Then, based on the minimum temperature deviation characteristics, regional internal temperature difference characteristics, thermal path risk characteristics, and temperature change trend characteristics, a single-region risk index is formed, and a comprehensive system risk index is obtained through comparison. Finally, based on the comprehensive system risk index and the risk classification thresholds for each critical control region, an allowed state, a delayed state, or a prohibited state is output, and the critical state quantities are written to the state buffer for use in the next control cycle.

[0104] Through the above implementation method, the control computing unit transforms the surface sampling temperature, environmental state, and task state into a thermal state representation at the functionally sensitive area level, and further establishes thermal path propagation analysis and risk fusion judgment logic. Thus, local anomalies, regional temperature difference expansion, and adverse thermal effects propagated through structural thermal bridges in the release valve body area, drive actuator area, and power supply unit area can be continuously evaluated, resulting in a system-level control state coupled with the action chain.

[0105] Please see Figure 5 , Figure 5 This is a schematic diagram of a perfluorohexanone fire extinguishing grenade self-control system provided in an embodiment of this application. As shown in the figure, the system includes: The data acquisition module 501 is used to acquire the environmental parameter set, surface temperature data set, and mission status data set of the fire extinguishing bomb within the current control cycle. The regional temperature analysis module 502 is used to map each surface sampling unit in the surface temperature data set to the corresponding functional sensitive area based on the pre-stored structural partition mapping table, and to calculate the regional average temperature, regional minimum temperature, regional maximum temperature, regional internal temperature difference and regional average temperature change rate for each functional sensitive area to form a regional temperature state vector. The thermal path analysis module 503 is used to establish a thermal path diagram composed of functionally sensitive regions based on a pre-stored regional connection relationship table, and to calculate the heat flow influence of each regional connection edge in the thermal path diagram by combining the environmental parameter set and the regional temperature state vector. The worst-case path determination module 504 is used to extract candidate thermal paths from the thermal path diagram for key control areas and determine the worst-case thermal path based on the cumulative thermal impact of each candidate thermal path. The risk index calculation module 505 is used to calculate the single-area risk index of each key control area based on the regional temperature state vector and the worst thermal path of the key control area, and to generate the system comprehensive risk index based on the single-area risk index. The control status output module 506 is used to output the system-level control status of the fire extinguishing bomb based on the system comprehensive risk index and the risk classification threshold corresponding to each key control area.

[0106] Those skilled in the art will clearly understand that the technical solutions of the embodiments of this application can be implemented by means of software and / or hardware. In this specification, "unit" and "module" refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, wherein the hardware may be, for example, a field-programmable gate array (FPGA), an integrated circuit (IC), etc.

[0107] Each processing unit and / or module in the embodiments of this application can be implemented by an analog circuit that implements the functions described in the embodiments of this application, or by software that executes the functions described in the embodiments of this application.

[0108] In the above embodiments, the descriptions of each embodiment have different focuses. Parts not described in detail in a certain embodiment can be referred to in the relevant descriptions of other embodiments. The above descriptions are merely preferred embodiments of this application and explanations of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solutions formed by specific combinations of the above technical features, but should also cover other technical solutions formed by arbitrary combinations of the above technical features or their equivalent features without departing from the inventive concept.

Claims

1. A self-control method for perfluorohexanone fire extinguishing bombs, characterized in that, include: Acquire the environmental parameter set, surface temperature data set, and mission status data set of the fire extinguishing bomb within the current control cycle; Based on the pre-stored structural partition mapping table, each surface sampling unit in the surface temperature data set is mapped to the corresponding functional sensitive region, and the average temperature, minimum temperature, maximum temperature, internal temperature difference, and average temperature change rate of each functional sensitive region are calculated to form a region temperature state vector. A thermal pathway diagram consisting of functionally sensitive regions is established based on a pre-stored regional connection relationship table, and the heat flow influence of each regional connection edge in the thermal pathway diagram is calculated by combining the environmental parameter set and the regional temperature state vector. For the critical control area, candidate thermal paths are extracted from the thermal path diagram, and the worst thermal path is determined based on the cumulative thermal impact of each candidate thermal path. Based on the regional temperature state vector and the worst thermal path of the key control area, calculate the single-area risk index of each key control area, and generate the system comprehensive risk index based on the single-area risk index. Based on the comprehensive risk index of the system and the risk classification thresholds corresponding to each key control area, the system-level control status of the fire extinguishing bomb is output.

2. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 1, characterized in that, The step of mapping each surface sampling unit to its corresponding functionally sensitive region based on a pre-stored structural partitioning mapping table includes: According to the structural layout of the fire extinguishing bomb, the functionally sensitive area is divided into a fire extinguishing agent storage area, a release valve body area, a drive actuator area, a power supply unit area, a control trigger unit area, a structural connection thermal bridge area, a windward outer shell area, and a leeward outer shell area; among them, the release valve body area, the drive actuator area, and the power supply unit area are set as the key control areas, and each surface sampling unit corresponds to only one functionally sensitive area.

3. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 2, characterized in that, The calculation of the regional temperature state vector for each functionally sensitive region includes: The average temperature of the region is calculated based on the temperature values ​​of the surface sampling units mapped to the functionally sensitive region. Extract the lowest and highest temperatures of the area from the surface sampling unit temperature values ​​corresponding to the functionally sensitive area; determine the internal temperature difference of the area based on the highest and lowest temperatures of the area. The rate of change of the regional average temperature is determined based on the regional average temperature of the current control cycle and the regional average temperature buffered in the previous control cycle.

4. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 3, characterized in that, Before calculating the average temperature, minimum temperature, and maximum temperature of the region, a neighborhood consistency filter is performed on the temperature values ​​of each surface sampling unit. The neighborhood consistency screening includes: comparing the temperature value of the target surface sampling unit with the median temperature of its neighboring surface sampling units; when the deviation between the two exceeds a preset deviation threshold, replacing the temperature value of the target surface sampling unit with the median temperature of the neighboring surface sampling units, and calculating the temperature state vector of the region based on the replaced temperature value.

5. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 3, characterized in that, Based on the regional temperature state vector, an interface sampling unit set is extracted for two functionally sensitive regions that are marked as directly adjacent in the regional connection relationship table, and the regional interface temperature difference is calculated based on the temperature values ​​of the interface sampling units located on both sides of the interface. The calculation of the heat flow influence quantity uses both the regional average temperature difference of the two functionally sensitive regions and the regional interface temperature difference to form an effective driving temperature difference for the corresponding regional connection edge.

6. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 5, characterized in that, The calculation of the heat flow influence of each region's connecting edge in the heat path diagram, combining the set of environmental parameters and the regional temperature state vector, includes: For each region connection edge in the thermal path diagram, the basic edge weight of the region connection edge is determined based on the pre-stored equivalent structural thermal coupling coefficient. The dynamic environmental correction coefficient of the region connection edge is determined based on the relative airflow state, external radiative heat state, and mission altitude state in the environmental parameter set. The heat flow influence of the region connection edge is calculated based on the basic edge weight, the dynamic environmental correction coefficient, and the effective driving temperature difference.

7. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 6, characterized in that, For critical control areas, candidate thermal pathways are extracted from the thermal pathway map, and the worst thermal pathway is determined based on the cumulative thermal impact of each candidate thermal pathway, including: Using each key control area as the endpoint node, candidate thermal paths with a path order not greater than a preset path order are extracted from the thermal path map. For each candidate heat path, the cumulative heat impact is calculated based on the heat flow impact and transmission attenuation coefficient of each region connecting the path. By combining the temperature margin of the corresponding key control area and the temperature difference within the area, the thermal pathway risk score of each candidate thermal pathway is determined, and the candidate thermal pathway with the highest thermal pathway risk score is identified as the worst thermal pathway.

8. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 7, characterized in that, The calculation of the single-area risk index for each key control area includes: The minimum temperature deviation characteristics are determined based on the minimum temperature of the critical control area and the minimum allowable temperature corresponding to that critical control area. The internal temperature difference characteristics of a critical control area are determined based on the internal temperature difference of that critical control area and the allowable temperature difference threshold corresponding to that critical control area. The risk characteristics of the thermal pathway are determined based on the risk score of the worst thermal pathway; the temperature change trend characteristics are determined based on the regional average temperature change rate of the key control area; and the aforementioned characteristics are fused based on the pre-stored risk fusion weight coefficient to obtain a single-region risk index.

9. The self-control method for perfluorohexanone fire extinguishing bombs according to claim 8, characterized in that, The generation of the system's comprehensive risk index based on the risk indices of each individual region includes: For the release valve body area, drive actuator area and power supply unit area, obtain the corresponding single-area risk index; The risk index of each single region is weighted according to the pre-stored regional importance coefficient, and the maximum value is taken; and the maximum value is determined as the system comprehensive risk index, wherein the regional importance coefficient remains unchanged during the execution of the same task.

10. A self-control system for perfluorohexanone fire extinguishing bombs, characterized in that, include: The data acquisition module is used to acquire the environmental parameter set, surface temperature data set, and mission status data set of the fire extinguishing bomb within the current control cycle; The regional temperature analysis module is used to map each surface sampling unit in the surface temperature data set to the corresponding functional sensitive area based on the pre-stored structural partition mapping table, and to calculate the regional average temperature, regional minimum temperature, regional maximum temperature, regional internal temperature difference and regional average temperature change rate for each functional sensitive area, forming a regional temperature state vector. The thermal pathway analysis module is used to establish a thermal pathway diagram composed of functionally sensitive regions based on a pre-stored regional connection relationship table, and to calculate the heat flow influence of each region connection edge in the thermal pathway diagram by combining the set of environmental parameters and the regional temperature state vector. The worst-case path determination module is used to extract candidate thermal paths from the thermal path map for key control areas and determine the worst-case thermal path based on the cumulative thermal impact of each candidate thermal path. The risk index calculation module is used to calculate the single-area risk index of each key control area based on the regional temperature state vector and the worst thermal path of the key control area, and to generate the system comprehensive risk index based on the single-area risk index. The control status output module is used to output the system-level control status of the fire extinguishing bomb based on the system comprehensive risk index and the risk classification threshold corresponding to each key control area.

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