Global emergency nutrition support system and method based on military logistics and situation awareness technology

Abstract

The application discloses a global emergency nutrition guarantee system and method based on military logistics and situation awareness technology, and the system is composed of a multi-dimensional sensing module integrated with a military-level battle situation analysis model, an intelligent decision center adopting a military logistics architecture for conversion between peace and war, a modular production line configured according to a national military standard (GJB), and a hybrid precise delivery network with anti-interference capability; the method realizes a full-process closed loop from risk identification by a military early warning model, to scheme generation by battle deduction, to production according to the military standard and delivery according to the law. The application solves the problems of slow response, low efficiency and difficult coverage of the last kilometer in traditional food aid by deeply and systematically transforming the military logistics system, and provides a civil-military integration innovative scheme with faster response, more accurate delivery and higher reliability.

Description

Technical Field

[0001] This invention relates to the field of food security and emergency management technology. Specifically, it relates to an intelligent and rapid-response global hunger crisis intervention system and method that integrates military logistics management, high-precision situational awareness, military food engineering, and special delivery technology. Background Technology

[0002] Global hunger is often exacerbated by sudden disasters, armed conflicts, or supply chain collapses. Traditional international food aid models suffer from inherent flaws such as slow response, inefficient allocation, uneven nutrition, and difficulties in "last-mile" delivery. The root cause lies in the lack of a support system as efficient, precise, and resilient as modern military operations.

[0003] Modern military technology has developed highly mature solutions to address logistical support challenges in complex environments. For example, joint theater logistics command systems enable full visibility and intelligent control of supplies; military ration technology provides high-energy-density, nutritionally complete, and highly storable food; and multi-level delivery systems ensure supplies reach frontline units in any terrain and security situation.

[0004] However, these cutting-edge military technologies have long been confined to defense applications and have not yet been systematically and innovatively integrated and transformed into civilian solutions for addressing global humanitarian crises. There is a significant technological gap and a need for innovation in applying the "agile, precise, and reliable" characteristics of military logistics to the global fight against hunger. Summary of the Invention

[0005] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a global emergency nutrition support system based on military logistics and situational awareness technologies. The core objective is to build a system capable of intervening in the global hunger crisis as quickly, accurately, and reliably as military operations by deeply integrating and transforming military logistics support concepts and technologies. This fundamentally overcomes the shortcomings of traditional aid models, such as slow response, low efficiency, and difficulty in reaching end users.

[0006] (II) Technical Solution To achieve the above-mentioned objectives, the present invention provides the following technical solution: A global emergency nutrition support system and methodology based on military logistics and situational awareness technologies, including: The multi-dimensional situational awareness and demand forecasting module (100) is based on a military-grade campaign situational analysis model, which is used to integrate and analyze diverse information to generate a dynamic global food security risk map and graded early warning signals that include military security risk elements. The intelligent decision-making and resource scheduling center (200) adopts a military logistics command system architecture that can switch between peacetime and wartime, and is connected to the multi-dimensional situational awareness and demand prediction module (100) to receive the graded early warning signals and, based on the global resource database, call the campaign simulation algorithm to simulate and generate a nutrition support action plan. The modular military standard nutrition unit production line (300) is configured according to the national military standard (GJB). The production instructions are synchronously triggered by the intelligent decision-making and resource scheduling center (200) for flexible production of modular nutrition units. The hybrid precision delivery network (400) is executed by the intelligent decision-making and resource scheduling center (200) according to the action plan, and includes at least one vehicle for strategic, campaign or tactical delivery, some of which are equipped with autonomous navigation and coordinate feedback devices in the event of communication interruption.

[0007] Preferably, the multidimensional situational awareness and demand forecasting module (100) analyzes at least the following multidimensional information: meteorological data, crop vegetation index, surface temperature anomaly data, conflict area heat map, major grain market price fluctuation data, and social media public opinion keyword density in specific areas.

[0008] Preferably, the campaign simulation algorithm invoked by the intelligent decision-making and resource scheduling center (200) generates a nutrition support action plan that includes at least nutrition unit requirements, production sources, multi-level logistics paths and anti-interference delivery schemes, and provides estimated costs, time windows and mission success rate assessments based on different military security risk levels.

[0009] Preferably, the modular military standard nutrition unit production line (300) is configured in accordance with GJB 6528 "General Specifications for Military Plateau and Mountain Food" or equivalent standards; the nutrition units produced have at least two of the following processing technologies: ultra-high pressure sterilization, vacuum freeze drying and microencapsulation technology, and their packaging meets the relevant performance indicators in GJB 2806A "General Requirements for Military Food Packaging".

[0010] Preferably, the hybrid precision delivery network (400) includes: a large transport vehicle (401) for strategic delivery; a medium-sized fixed-wing UAV swarm (402) for operational delivery, equipped with a low-speed precision airdrop system capable of meter-level precision parabolic delivery at designated coordinates; and a small rotor UAV swarm (403) or individual soldier delivery device (404) for tactical delivery, wherein the small rotor UAV swarm (403) is equipped with a lightweight cargo hold and a visual recognition system, enabling building-level door-to-door fixed-point hovering delivery.

[0011] Preferably, the autonomous navigation and coordinate feedback device specifically relies on the RDSS short message communication function of the Beidou satellite navigation system or the P code positioning function of GPS, and is integrated into the medium-sized fixed-wing UAV cluster (402) and / or the small rotary-wing UAV formation (403) to receive coordinates and feedback mission confirmation information in the event of communication interruption.

[0012] On the other hand, a global emergency nutrition assurance approach based on the above system is provided, including the following steps: S1: The multi-dimensional situational awareness and demand forecasting module (100) continuously monitors the world, uses the military-grade campaign situation analysis model to identify and assess hunger risk signals, and issues graded early warnings containing security risk alerts. S2: After receiving the early warning, the intelligent decision-making and resource scheduling center (200) calls the data of the affected area based on the military logistics command system architecture of the peacetime-wartime conversion, and simulates and generates an initial nutrition support action plan within a preset time. S3: According to the action plan, issue a production order to the modular military standard nutrition unit production line (300), and initiate logistics resource mobilization in accordance with the National Defense Mobilization Law or equivalent emergency agreement to complete the assembly and loading of nutrition units; S4: The hybrid precision delivery network (400) selects the appropriate delivery platform to perform hierarchical precision delivery according to the action plan and real-time situation. The delivery process relies on the autonomous navigation and coordinate feedback device for protection, and the delivery results are confirmed by image. S5: Collect post-operation nutritional status data and feed it back to the military-grade operational situation analysis model to optimize its early warning and assessment algorithm parameters.

[0013] Preferably, the preset time in step S2 is 2 to 4 hours; in step S4, for large-scale, long-distance delivery, large transport vehicles (401) are preferred; for medium-scale, medium-distance or areas with local risks, medium-sized fixed-wing UAV clusters (402) are used; for small-scale, extremely complex or "last mile" scenarios, small rotor UAV formations (403) are used for delivery.

[0014] Preferably, the mobilization of logistics resources initiated in step S3 involves requisitioning or leasing civilian transport capacity that meets military transport standards, in accordance with the National Defense Mobilization Law or international cooperation framework agreements.

[0015] Compared with existing technologies, this invention provides a global emergency nutrition support system and method based on military logistics and situational awareness technologies, which has the following beneficial effects: 1. It achieves an order-of-magnitude improvement in response speed: Through military-grade early warning and decision-making models, the traditional response cycle of several weeks to several months is compressed to within a few days, seizing the "golden window" for crisis intervention.

[0016] 2. Overcame the "last mile" problem of humanitarian aid: By learning from and transforming military precision delivery technology, aid supplies can break through geographical and security barriers and reach the trapped people directly, with delivery accuracy and accessibility far exceeding traditional methods.

[0017] 3. A highly reliable support system has been established: the production of nutritional units using military-grade standards ensures product quality and safety under extreme environments; the intelligent dispatch system enables optimal dynamic allocation of global resources, significantly improving overall rescue efficiency.

[0018] 4. It is a model application of the military-civilian integration strategy: This invention efficiently transforms defense technology into solutions to major livelihood issues. In peacetime, it can be used to eliminate hunger, and in emergencies, it can be directly transformed into a component of the national emergency system or military logistics, with significant social and defense benefits.

[0019] The technical solution of this invention is not a simple superposition of existing civilian disaster relief technologies and military equipment, but rather a deep and systematic transformation and innovative reconstruction from a military technology system to the civilian emergency response field. Its non-obviousness is mainly reflected in: 1. Deep transformation and systematic adaptation of the military technology system: This invention, for the first time, systematically redesigns a complete military logistics support concept and technology system—including operational situation analysis models, peacetime-wartime conversion command architecture, military food engineering standards, and multi-level precision delivery networks—for global humanitarian relief. This cross-domain, systematic technology migration and adaptation solves the problem of delayed response in the civilian field caused by the lack of a unified, highly reliable command, production, and delivery system.

[0020] 2. The deterministic technical effects brought about by the "peacetime-wartime conversion" architecture and legal authorization mechanism: The "peacetime-wartime conversion military logistics command system architecture" adopted by the system and its deep integration with legal authorization mechanisms such as the National Defense Mobilization Law ensure the determinism and reliability of the execution of rescue plans in extremely complex environments, producing technical effects that cannot be achieved by purely commercial or civilian technical solutions.

[0021] 3. Full-chain synergy between "military standards" and "adaptability to extreme environments": The mandatory embedding of national military standards (GJB) into production lines and product design, combined with military-grade anti-interference precision delivery networks, forms a highly reliable technical closed loop from the "production end" to the "user end," fundamentally solving the core pain points of traditional aid such as "inconsistent standards, poor storage resistance, inability to deliver, and inability to store" materials.

[0022] 4. Innovative Integration of Military Models and Civilian Data: The military-level operational situation analysis model creatively integrates and processes traditional military intelligence elements (such as conflict heat maps) with civilian big data (such as social media sentiment and food price fluctuations), forming a new assessment and early warning model applicable to non-traditional security threats. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the architecture of a global emergency nutrition support system provided in an embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram of the structure of a modular military standard nutrient unit provided in an embodiment of the present invention.

[0025] Figure 3 This is a schematic diagram illustrating the operation of a hybrid precision delivery network provided in an embodiment of the present invention.

[0026] Figure 4 A flowchart of a global emergency nutrition assurance method provided in an embodiment of the present invention.

[0027] In the diagram: 100 - Multi-dimensional situational awareness and demand forecasting module; 200 - Intelligent decision-making and resource scheduling hub; 300 - Modular military standard nutrient unit production line; 400 - Hybrid precision delivery network; 401 - Large transport vehicle; 402 - Medium-sized fixed-wing UAV swarm; 403 - Small rotary-wing UAV formation; 404 - Individual soldier throwing device. Detailed Implementation

[0028] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0029] See Figure 1 The system in this embodiment includes: a multi-dimensional situational awareness and demand forecasting module (100), which serves as the "eyes" and "ears" of the system and is responsible for data collection and preliminary analysis; an intelligent decision-making and resource scheduling center (200), which serves as the "brain" of the system and is responsible for decision-making and command; a modular military standard nutrition unit production line (300), which serves as the "muscles" of the system and is responsible for material production; and a hybrid precision delivery network (400), which serves as the "limbs" of the system and is responsible for final delivery. This embodiment describes in detail the specific structure of the global emergency nutrition support system.

[0030] The core of the multi-dimensional situational awareness and demand forecasting module (100) is a military-grade operational situational analysis model (e.g., an AI model improved from a certain type of military conflict early warning system). This model uses a military geographic information system as its base map, continuously injecting remote sensing data from the Fengyun meteorological satellite and synthetic aperture radar satellite to monitor crop growth and disaster impacts; it accesses grain price data streams from major global commodity trading markets; it uses natural language processing technology to scan the frequency and sentiment of words related to "food shortage" and "hunger" in social media in specific regions; and it also accesses conflict zone heat maps from international security agencies. The model employs an algorithm similar to that used in military conflict early warning, automatically generating different levels of warning signals (yellow, orange, red) when multiple indicators (including security risk indicators) simultaneously exceed thresholds.

[0031] The intelligent decision-making and resource scheduling center (200) is activated immediately upon receiving a red alert. This center is built upon a military logistics command system architecture for peacetime-wartime transitions. Assume the alert area is "conflict zone A in a certain location." The center first accesses census data, geographic information, and real-time security reports for zone A. Subsequently, it matches available resources in the global resource database. The center invokes a campaign simulation algorithm to generate multiple simulated scenarios within 3 hours: Scenario 1 is a full airdrop scenario, costly but fast; Scenario 2 is a combined land and air scenario, moderately costly but with more risks; Scenario 3 is a temporary safe corridor scenario, slow but capable of transporting more diverse supplies. Decision-makers select Scenario 1 based on the cost, time window, and success rate of each scenario.

[0032] Upon receiving instructions from the central control, the modular military standard nutrient unit production line (300) initiates a rapid conversion to "Emergency Mode A" according to the nutritional and technological requirements of "Seven-Day Individual Field Rations" in GJB 6528 "General Specifications for Military Plateau and Mountain Foods". The produced nutrient units (structure shown in...) Figure 2 The product is a 200-gram compressed block, produced using vacuum freeze-drying and microencapsulation technology, with an outer layer of edible film. The final product is sealed in a composite aluminum foil bag conforming to GJB 2806A "General Requirements for Military Food Packaging". Its shelf life is no less than 36 months at 25℃. The first batch of 300,000 units was produced within 48 hours.

[0033] The hybrid precision delivery network (400) commences operation. Large transport aircraft (401) deliver pallets to the forward base. Here, the pallets are disassembled and loaded into the cargo holds of multiple medium-sized fixed-wing UAVs (402). These UAVs are modified from reconnaissance and strike UAV platforms and equipped with a Low-Speed ​​Precision Airdrop System (LAPES). At night, the UAV formations fly to predetermined coordinates and perform meter-level precision gravity drops. For a few villages located in deep valleys or heavily surrounded, small hexacopter UAV formations (403) are used to hover and drop cargo using onboard vision systems to identify ground markings. In pre-defined areas where communication may be interrupted, the UAVs rely on the RDSS short message communication function of the BeiDou satellite navigation system to receive the final coordinates and send back encrypted confirmation information. After all UAV missions are completed, encrypted images containing the coordinates of the delivery points and the cargo landing status are sent back.

[0034] This embodiment uses a complete crisis intervention as an example to explain in detail the execution steps of the method of the present invention (such as...). Figure 4 (As shown).

[0035] (1) Continuous monitoring and early warning issuance (S1): The military-grade model of the multi-dimensional situational awareness module (100) detected that due to the escalation of armed conflict and the impact of drought, the crop vegetation index in the key areas of a certain country continued to decline. At the same time, the density of public opinion on social media about food shortages surged, and the conflict heat map showed that the area had been controlled by anti-government armed forces. The model comprehensively determined the risk level to be "red" and issued a graded early warning including specific coordinates, estimated affected population, and major security threats.

[0036] (2) Rapid assessment and plan generation (S2): The intelligent decision-making center (200) is activated immediately after receiving the early warning. It retrieves the digital map and population distribution data of the area and assesses the available airports, ports and other resources in the surrounding countries. The campaign simulation algorithm generates an action plan within 2 hours: It decides to bypass the ground conflict zone and adopt a plan of "mainly airdropping with medium-sized UAV clusters and supplementing with small UAVs in the terminal stage". The plan is to deliver high-energy nutrition units, covering the needs of 100,000 people in the area for 7 days.

[0037] (3) Agile Production and Mobilization (S3): The central (200) issues production orders to the modular production line (300) located in the safe zone of a neighboring country. The production line quickly switches to emergency mode and begins production in accordance with GJB standards. At the same time, in accordance with the National Defense Mobilization Law, civilian trucks that meet the loading requirements of transport aircraft are requisitioned to transport the finished products from the factory to the forward air force base and complete the installation.

[0038] (4) Tiered Precision Delivery and Confirmation (S4): At night, a cluster of multiple medium-sized fixed-wing UAVs (402) took off from the base and flew to the target area along the planned route. Using a low-speed precision airdrop system, they conducted meter-level precision airdrops in areas free from GPS interference. For villages where GPS signals were interfered with, the UAVs switched to an autonomous navigation mode relying on BeiDou RDSS and delivered goods based on encrypted coordinates. A formation of small rotary-wing UAVs (403) then conducted door-to-door supplementary deliveries to scattered settlements with complex terrain. All UAVs transmitted images of completed deliveries with coordinate watermarks.

[0039] (5) Effect evaluation and system iteration (S5): One week later, the sampling data (such as changes in malnutrition rate and satisfaction with material receipt) collected by the international relief organization’s local partners are fed back into the AI ​​model of the multidimensional perception module (100) to optimize the next warning threshold and nutrition demand prediction algorithm for the region.

[0040] In conclusion, this invention, through the innovative combination of military technology and civilian needs, constructs an unprecedented global hunger rapid response system. It is not merely an integration of technological solutions, but a revolution in the guarantee model, possessing significant importance for maintaining global food security and the fundamental human right to survival.

[0041] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion.

[0042] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A global emergency nutrition support system based on military logistics and situational awareness technology, characterized in that: include: The multi-dimensional situational awareness and demand forecasting module (100) is based on a military-grade campaign situational analysis model, which is used to integrate and analyze diverse information to generate a dynamic global food security risk map and graded early warning signals that include military security risk elements. The intelligent decision-making and resource scheduling center (200) adopts a military logistics command system architecture that can switch between peacetime and wartime, and is connected to the multi-dimensional situational awareness and demand prediction module (100) to receive the graded early warning signals and, based on the global resource database, call the campaign simulation algorithm to simulate and generate a nutrition support action plan. The modular military standard nutrition unit production line (300) is configured according to the national military standard (GJB). The production instructions are synchronously triggered by the intelligent decision-making and resource scheduling center (200) for flexible production of modular nutrition units. The hybrid precision delivery network (400) is executed by the intelligent decision-making and resource scheduling center (200) according to the action plan, and includes at least one vehicle for strategic, campaign or tactical delivery, some of which are equipped with autonomous navigation and coordinate feedback devices in the event of communication interruption.

2. The global emergency nutrition support system according to claim 1, characterized in that, The multidimensional situational awareness and demand forecasting module (100) analyzes at least the following diverse information: meteorological data, crop vegetation index, surface temperature anomaly data, conflict area heat map, major grain market price fluctuation data, and social media public opinion keyword density in specific areas.

3. The global emergency nutrition support system according to claim 1, characterized in that, The campaign simulation algorithm invoked by the intelligent decision-making and resource scheduling center (200) generates a nutrition support action plan that includes at least nutrition unit requirements, production sources, multi-level logistics paths and anti-interference delivery schemes, and provides estimated costs, time windows and mission success rate assessments based on different military security risk levels.

4. The global emergency nutrition support system according to claim 1, characterized in that, The modular military standard nutrition unit production line (300) is configured in accordance with GJB 6528 "General Specifications for Military Plateau and Mountain Food" or equivalent standards; the nutrition units produced have at least two of the following processing technologies: ultra-high pressure sterilization, vacuum freeze drying and microencapsulation technology, and their packaging meets the relevant performance indicators in GJB 2806A "General Requirements for Military Food Packaging".

5. The global emergency nutrition support system according to claim 1, characterized in that, The hybrid precision delivery network (400) includes: Large transport vehicles used for strategic deployment (401); The medium-sized fixed-wing UAV swarm (402) is used for campaign delivery and is equipped with a low-speed precision airdrop system that can perform meter-level precision parabolic drops at designated coordinates. Small rotorcraft swarms (403) or individual drop devices (404) for tactical delivery, wherein the small rotorcraft swarms (403) are equipped with lightweight cargo holds and visual recognition systems, enabling building-level door-to-door fixed-point hovering delivery.

6. The global emergency nutrition support system according to claim 5, characterized in that, The autonomous navigation and coordinate feedback device specifically relies on the RDSS short message communication function of the Beidou satellite navigation system or the P code positioning function of GPS, and is integrated into the medium-sized fixed-wing UAV cluster (402) and / or the small rotary-wing UAV formation (403) to receive coordinates and feedback mission confirmation information in the event of a communication interruption.

7. A method for global emergency nutrition assurance based on the system described in any one of claims 1-6, characterized in that, Includes the following steps: S1: The multi-dimensional situational awareness and demand forecasting module (100) continuously monitors the world, uses the military-grade campaign situation analysis model to identify and assess hunger risk signals, and issues graded early warnings containing security risk alerts. S2: After receiving the early warning, the intelligent decision-making and resource scheduling center (200) calls the data of the affected area based on the military logistics command system architecture of the peacetime-wartime conversion, and simulates and generates an initial nutrition support action plan within a preset time. S3: According to the action plan, issue a production order to the modular military standard nutrition unit production line (300), and initiate logistics resource mobilization in accordance with the National Defense Mobilization Law or equivalent emergency agreement to complete the assembly and loading of nutrition units; S4: The hybrid precision delivery network (400) selects the appropriate delivery platform to perform hierarchical precision delivery according to the action plan and real-time situation. The delivery process relies on the autonomous navigation and coordinate feedback device for protection, and the delivery results are confirmed by image. S5: Collect post-operation nutritional status data and feed it back to the military-grade operational situation analysis model to optimize its early warning and assessment algorithm parameters.

8. The method according to claim 7, characterized in that, The preset time mentioned in step S2 is 2 to 4 hours; in step S4, for large-scale, long-distance delivery, large transport vehicles (401) are preferred; for medium-scale, medium-distance or areas with local risks, medium-sized fixed-wing UAV clusters (402) are used; for small-scale, extremely complex or "last mile" scenarios, small rotor UAV formations (403) are used for delivery.

9. The method according to claim 7 or 8, characterized in that, The mobilization of logistics resources initiated in step S3 involves requisitioning or leasing civilian transport capacity that meets military transport standards, in accordance with the National Defense Mobilization Law or international cooperation framework agreements.

Images