Maintenance equipment emergency boxing adjusting method and system based on man-machine cooperation

Abstract

The invention discloses a man-machine collaborative emergency encasement adjustment method and system for maintenance equipment, and belongs to the technical field of equipment maintenance equipment packaging and assembling. Comprising the following steps: step 1, emergency demand access and maintenance scene authority verification; step 2, generating a basic scheme of three-dimensional dynamic simulation of a two-dimensional layout and a boxing process through algorithm initial calculation; 3, performing three-dimensional visual manual intervention after two-dimensional layout and before stacking of the containers; 4, system self-learning and rule base updating; 5, verifying the scheme and outputting an entity execution instruction; according to the man-machine collaborative maintenance equipment emergency boxing adjustment method and system, a closed-loop process is formed through algorithm initial calculation, manual intervention and system self-learning, and three-dimensional visual check nodes are arranged after two-dimensional layout and before container stacking; three-dimensional dynamic simulation of the boxing process, authority grading control based on the maintenance priority level and automatic conversion from manual adjustment parameters to a rule base are achieved.

Description

Technical Field

[0001] This invention relates to a human-machine collaborative emergency packing and adjustment method and system for maintenance equipment, belonging to the field of equipment maintenance equipment packaging and assembly technology. Background Technology

[0002] The quality of the packaging for military equipment maintenance materials directly affects maintenance and support efficiency, especially in wartime emergency maintenance scenarios. This requires precise assembly and packaging of equipment within a short timeframe, while simultaneously meeting requirements for classified protection, high-precision positioning, and rapid retrieval. Current military equipment maintenance material packaging technology suffers from the following problems: First, the emergency response efficiency is low and lacks dynamic simulation support. Existing systems mostly adopt a two-dimensional static planning + manual drawing verification mode, which cannot simulate the packing process. If there are stacking conflicts in the two-dimensional layout, such as the carrier size exceeding the container size, it is necessary to physically stack and then disassemble and reconstruct, which takes a long time and is far from meeting the minute-level support requirements in wartime. Moreover, the three-dimensional dynamic simulation of the packing process has not been realized, making it difficult for operators to intuitively judge the rationality of the layout. Second, the lack of access control poses a high risk of security issues related to classified information and equipment assembly. Military equipment maintenance materials include classified components and special sets. The existing system does not prioritize intervention permissions based on maintenance priority. In emergency maintenance scenarios, ordinary operators can still adjust the position of classified equipment, posing a risk of information leakage. Furthermore, the system does not enforce the integrity of maintenance packaging sets, making it easy for equipment to be missing during maintenance due to accidental disassembly of sets. Third, manual adjustment experience cannot be accumulated, repeated scenarios are inefficient, and emergency experience formed by manual intervention is only recorded as operation logs and cannot be automatically transformed into algorithm constraints. When the same scenario occurs again, repeated adjustments are still required, which is inefficient and easily leads to experience loss due to personnel changes, and a closed loop of adjustment-optimization-reuse has not been formed. Fourth, the virtual and physical connections are disconnected, resulting in insufficient positioning accuracy. The existing system's virtual layout is not associated with intelligent positioning reference points, and the equipment coordinate accuracy is only ±2mm, which cannot meet the ±0.5mm positioning requirement for military maintenance equipment. Furthermore, there is no dynamic re-simulation verification after virtual adjustments, which can easily lead to virtual compliance but physical conflicts, requiring rework and further extending emergency response time.

[0003] Therefore, in order to solve the above problems, there is an urgent need for a human-computer collaborative solution that integrates 3D visualization interaction, dynamic simulation, access control and self-learning, which can ensure the high precision, high compliance and high reusability of emergency packing of military equipment maintenance materials, and adapt to the needs of scenarios such as wartime emergency maintenance and daily training maintenance. Summary of the Invention

[0004] To address the aforementioned issues, this invention proposes a human-machine collaborative emergency packing and adjustment method and system for maintenance equipment. Through algorithmic initial calculation, manual intervention, and system self-learning, a closed-loop process is formed. A three-dimensional visualization verification node is set after two-dimensional layout and before container stacking to realize three-dimensional dynamic simulation of the packing process, hierarchical control of permissions based on maintenance priority levels, and automatic conversion of manually adjusted parameters into a rule base.

[0005] The human-machine collaborative emergency packing and adjustment method for maintenance equipment of the present invention includes the following steps: Step 1: Emergency access and maintenance scenario permission verification. Step 1.1: Receive emergency requirement parameters, including the revised list of equipment to be packed for maintenance, including equipment code, length × width × height dimensions, weight, confidentiality level, protection level, virtual packaging set identifier (equipment in the same set is marked with the same identifier to ensure assembly integrity), available two-dimensional carrier, including standard drawer / pallet specifications, available container specifications, and maintenance priority level P; the equipment list is associated with the equipment maintenance equipment database, supporting retrieval of basic equipment attributes, maintenance purpose, protection requirements, and assembly requirements; the maintenance priority level P includes emergency maintenance corresponding to wartime / sudden failure scenarios, denoted as P1, training maintenance corresponding to daily training support scenarios, denoted as P2, and routine maintenance corresponding to regular maintenance scenarios, denoted as P3; Step 1.2: Permission verification and 3D environment initialization. Step 1.2.1: Retrieve the mapping relationship between operators and permission levels from the encrypted database. Level 1 permission is for maintenance administrators, who can operate in scenarios P1-P3; Level 2 permission is for emergency operators, who can operate in scenarios P2-P3; Level 3 permission is for ordinary operators, who can only operate in scenario P3; if permissions do not match, a pop-up window will be displayed and the operation will be terminated. Step 1.2.2: Initialize the virtual environment based on the 3D scene engine, generate a 3D volume model according to the equipment parameters; simultaneously generate a 2D carrier model, mark the positioning reference points, match it with the military positioning reference point database, with a reference point accuracy of ±0.1mm, and a container model (military standard container, such as JY1 type 1-ton container), with the model and the physical object mapped 1:1; Step 2: The algorithm initially calculates and generates a basic scheme for the two-dimensional layout and the three-dimensional dynamic simulation of the packing process. Step 2.1: Initial calculation of 2D layout, calling the fast greedy algorithm; Step 2.2: 3D dynamic simulation of the container packing process. Based on the 2D layout, the 3D dynamic simulation technology for container assembly and packing is used to pre-simulate the stacking process of the 2D carrier into the container in a 3D environment. The entire process of the carrier entering the container, adjusting its position, and completing the fixed process is dynamically displayed, and a 2D layout diagram and a 3D pre-stacking animation are output. Stacking conflict areas are marked, such as carrier size exceeding the container cavity or carrier overlap. The simulation frame rate is ≥24fpP, and normal / 2x speed / slow motion adjustment is supported. Step 2.3: Rule base pre-verification. Link the equipment maintenance material packaging rule base, including GJB145B-2023 Protective Packaging Specification and GJB10882-2023 Assembly Technical Requirements, to verify whether the scheme meets the requirements of container load ≤ rated value, equipment protection gap ≥ buffer thickness, and stacking center of gravity offset ≤ 10mm, to ensure transportation stability. If it does not meet the requirements, it will be automatically corrected, such as adjusting the stacking order of two-dimensional carriers or increasing the protection gap. Step 3: After two-dimensional layout, and before container stacking, three-dimensional visualization and manual intervention. Step 3.1: Intervention node triggering. After the two-dimensional layout is generated and before the container stacking entity is executed, the system pops up a three-dimensional interactive interface to prompt the operator to complete the intervention through the virtual environment, so as to avoid disassembly after the physical stacking, which is especially suitable for the rapid response requirements of military emergency maintenance. Step 3.2: Delineating the scope of intervention based on combat readiness levels; Step 3.3: 3D visualization and interactive operation. Step 3.3.1: Equipment positioning and adjustment. Operators can drag and drop the 3D volumetric model of the repair equipment in a 3D environment, switching between top / side / perspective views. The system continuously links to the positioning reference point, updates the model's planar coordinates (x, y), and displays the current coordinate deviation from the reference point, protective gaps, and space utilization, ensuring accuracy. When adjusting equipment within a repair package, all models in the same package are moved synchronously to avoid disassembly. Specifically, the repair package adjustment uses a group-linked drag-and-drop method. Selecting any equipment model within the package and dragging it will cause all models in the same package to move synchronously, maintaining their relative positions. Step 3.3.2: Visual editing of equipment packaging parameters. It supports direct modification of equipment packaging parameters in the 3D scene, such as buffer layer thickness and fixing method. The model size is updated in real time with the parameters. For example, if the buffer layer increases from 5mm to 8mm, the volume of the 3D model will increase synchronously to avoid the parameters from becoming disconnected from the model. For military precision repair equipment, such as optical sight repair parts, the protective effect after packaging can also be previewed. Step 3.3.3: Dynamic re-simulation. After each adjustment is completed, the 3D dynamic simulation of the packing process is triggered to recalculate and preview the stacking process after the adjustment. If there are conflicts, such as model overlap or center of gravity offset exceeding the threshold, the 3D scene will highlight the conflict area in red and display the solution adapted to the maintenance scenario, such as moving the engine component model 30mm to the left to meet the center of gravity requirements. Step 3.3.4: Permission Interception. If an operator attempts to perform an operation beyond their privileges, such as splitting, repairing, packaging, or assembling a package in the P1 scenario, the system will freeze the model operation and display a pop-up window showing the list of currently permitted operations with the priority specified in the list, which includes the operational specifications for military maintenance scenarios. Step 4: System self-learning and rule base update. Step 4.1: Extract key parameters for 3D adjustment. The system automatically collects feature parameters from the 3D interaction, including assembly parameters (e.g., P1-engine repair kit - fits into a 600×400mm carrier), positioning parameters (e.g., P1-radar repair parts - positioning accuracy ±0.5mm), carrier adaptation parameters (e.g., P2-moisture-proof equipment - uses a sealed groove carrier first), and packaging parameters such as military precision repair equipment (optical sight components). The thickness of the 3D model buffer layer is ≥5mm (model volume expansion parameter). If the adjustment involves packaging parameters, the parameter extraction must include the buffer layer thickness and sealing level, and the rules should be associated with the GJB145B-2023 protection requirements. Step 4.2: Rule entry generation and conflict verification. Step 4.2.1: Generate rule entries according to maintenance priority - equipment kit type - adjustment parameters - application scenario format, such as P1 - engine maintenance kit - same kit fits into 600×400mm carrier, accuracy ±0.5mm - wartime emergency maintenance; Step 4.2.2: Call the rule base conflict detection algorithm to compare the consistency between the new entry and the equipment maintenance material emergency packing rule base; if there is a conflict, such as a contradiction in the safety distance requirements in the same scenario, mark it as a conflict to be confirmed, and highlight the difference in three-dimensional parameters, such as the existing rule requiring 40mm, and the new entry requiring 50mm; Step 4.3: Rule base update and model association. After review by the maintenance administrator, the new rule is added to the rule base and associated with the data-driven 3D volumetric model generation mechanism. When generating equipment models for the same maintenance scenario in the future, the 3D parameters in the rules, such as safety distance and buffer thickness, will be automatically loaded without the need for manual resetting. Step 5: Solution verification and entity execution instruction output.

[0006] Furthermore, in step 1.2.2, the specific execution method for generating a three-dimensional equal-volume model according to the equipment parameters is as follows: regular equipment is generated directly according to its actual size, and irregular equipment is generated according to the maximum outer cuboid of its packaging, or according to its minimum outer cuboid plus the size of the protective buffer layer to generate a regular cuboid model of equal volume. The thickness of the buffer layer is set according to the protection level: 5mm for precision level, 3mm for conventional level, and 4mm for heavy-duty level. The same visual identifier is given to the equipment models in the same set.

[0007] Furthermore, in step 1.2.2, the three-dimensional volume model is generated using a parametric modeling tool, and the material is set according to the type of equipment, including a highly reflective material for metal equipment and a semi-transparent material for plastic equipment, to ensure that the visual recognition is consistent with the actual object.

[0008] Further, in step 2.1, the constraints of the fast greedy algorithm include: ① Prioritizing repair packaging sets, i.e., equipment in the same set is grouped into the same two-dimensional carrier and prioritized for placement in the quick-access area, such as the front of the carrier x∈[0,200mm], which cannot be split; ② Intelligent positioning calibration, relying on the reference point of the two-dimensional carrier, using the reference point alignment algorithm to control the accuracy of the equipment plane coordinates within ±0.5mm; specifically, taking the laser marking reference point (x0=0mm, y0=0mm) of the two-dimensional carrier as the origin, when calculating the coordinates, a deviation compensation value Δx=0.02mm, Δy=-0.03mm is introduced to ensure an accuracy of ±0.5mm; ③ The isolation distance of classified equipment is ≥30mm, and the two-dimensional space utilization rate is ≥70%; the equipment plane coordinates (x, y) are generated and simultaneously rendered and laid out in the three-dimensional environment, with equipment in the same package marked with the same color, and equipment for different repair purposes marked with different colors, such as engine parts in blue and radar parts in red.

[0009] Furthermore, the specific delineation method for step 3.2 is as follows: Step 3.2.1: P=P1, Emergency Repair, only open permissions for emergency replacement of two-dimensional carriers / containers (three-dimensional model updated synchronously), three-dimensional adjustment of the position of emergency key equipment (fine-tuning based on positioning reference points, dragging the model to modify x and y coordinates, and associating reference points to ensure accuracy ±0.5mm), and correction of the isolation area of ​​classified equipment. Adjustment of non-critical equipment is prohibited, and disassembling the repair packaging set is prohibited. Step 3.2.2: P=P2, train maintenance, grant permissions for dragging and adjusting the 3D model of maintenance equipment (verifying accuracy by associating with reference points), adding and deleting non-classified maintenance packaging sets (synchronously generating 3D models), and dividing the virtual area of ​​the 2D carrier (drawing operation channels), while restricting the position adjustment of the model of classified equipment; Step 3.2.3: P=P3, routine maintenance, grant full-process intervention permissions, including adding or deleting 3D models of maintenance equipment, changing 2D carrier / container specifications, adjusting 3D stacking order, modifying packaging parameters (such as buffer layer thickness), reassembling kits, and fine-tuning positioning reference points.

[0010] Furthermore, the specific verification and output methods for step 5 are as follows: Step 5: Solution verification and entity execution instruction output. Step 5.1 Multi-dimensional verification, including ① Dynamic simulation verification confirmed that there were no conflicts during the stacking process and the center of gravity offset was ≤10mm; ② Accuracy and assembly verification: Check that the deviation between the equipment coordinates and the reference point is ≤0.5mm and that the kit is not disassembled; ③ Access control verification: Confirm whether there are any records of exceeding the authorized access. ④ Parameter consistency verification: Check the consistency between the 3D model parameters (size, buffer layer, fixing method) and the rule base entries and physical parameters to ensure that the virtual solution and the physical execution are without deviation; Step 5.2: Output the solution, including ① Two-dimensional layout coordinate diagram (including reference points) and three-dimensional stacked position diagram, marking the physical positioning parameters of equipment maintenance materials, accurate to 1mm, to meet the high precision requirements of military use; ② A 3D dynamic simulation video of the packing process, output in MP4 format, including annotations for equipment packing operations, such as prioritizing the fixing of engine components during emergency repairs, serving as a guide for physical packing operations. ③ Container stacking instructions, which specify the physical stacking order and fixing method of two-dimensional carriers, and specify that equipment carriers in the same package should be stacked on the lower layer first, and critical equipment carriers should be fixed with ratchet straps; ④ Adjust the log, including packing location, adjustment records, and maintenance history.

[0011] The present invention relates to a human-machine collaborative emergency packing and adjustment system for maintenance equipment, comprising: a database for associating with a military equipment maintenance equipment coding system, storing unique equipment codes, maintenance history, storage environment requirements, and maintenance packaging set attribution information, supporting rapid retrieval of equipment lifecycle data via coding; a positioning reference point database for storing intelligent positioning reference point parameters of two-dimensional carriers; a rule base for establishing a mapping relationship between equipment to be packed, packaging rules, and constraint mechanisms, providing emergency packing rules for military equipment maintenance equipment, and configuring a logical management mechanism to meet the actual assembly and packing process business needs; an encrypted database for storing permission mappings between operators and permission levels, the rule base, and three-dimensional model parameters using encryption algorithms; a request access and permission verification module for receiving emergency requests, calling the equipment maintenance equipment database, and verifying operator permissions; and a module for generating... The system includes: a 3D environment and model generation module for equipment, carriers, and containers, linked to an intelligent positioning reference point database; a 2D and 3D scheme initial calculation module for deploying a fast greedy algorithm to generate a 2D layout, performing 3D dynamic simulation of the packing process, and pre-verifying the equipment maintenance equipment packaging rule base; a 3D hierarchical intervention module for providing a 3D visual interactive interface after 2D layout and before container stacking, defining intervention permissions according to maintenance priority levels, and supporting equipment model dragging, packaging parameter editing, dynamic simulation preview, and dynamic re-simulation; a self-learning and rule update module for extracting scene feature parameters for 3D adjustments, generating rule entries, completing conflict verification, updating the emergency packing rule base for military equipment maintenance equipment after conflict verification, and linking it to the 3D model generation mechanism; and a scheme verification and instruction output module for verifying scheme compliance and outputting dynamic simulation videos, stacking instructions, and adjustment logs.

[0012] Compared with existing technologies, the human-machine collaborative emergency packing and adjustment method and system for maintenance equipment of this invention can detect conflicts in advance through three-dimensional dynamic simulation of the packing process and avoid physical disassembly through pre-stacking intervention. The time for generating emergency plans is reduced from 30 minutes to less than 10 minutes, meeting the minute-level support requirements in wartime. Moreover, the dynamic simulation supports slow-motion observation and has a high accuracy rate in conflict identification. It adopts hierarchical management of permissions based on maintenance priority, with a 100% interception rate for operations exceeding permissions, ensuring that only administrators can adjust classified equipment in emergency maintenance scenarios. It also enforces the integrity of maintenance packaging sets, resulting in a low rate of set disassembly. Manual adjustment parameters are automatically converted into rule base entries, which are automatically adapted when the algorithm is called in the same scenario, eliminating the need for repeated adjustments and significantly improving efficiency. The rule base supports retrieval by maintenance priority level and set type, facilitating management and iteration. At the same time, it is associated with intelligent positioning reference points to control the equipment coordinate accuracy within ±0.5mm. Furthermore, dynamic re-simulation is triggered after adjustment, and the virtual and physical solutions are highly consistent, reducing the rework rate. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0014] Figure 2 This is a schematic block diagram of the system architecture of the present invention. Detailed Implementation

[0015] like Figure 1 The human-machine collaborative emergency packing and adjustment method for maintenance equipment, as shown, includes the following steps: Step 1: Emergency access and maintenance scenario permission verification. Step 1.1: Receive emergency requirement parameters, including the revised list of equipment to be packed for maintenance, including equipment code, length × width × height dimensions, weight, confidentiality level, protection level, virtual packaging set identifier (equipment in the same set is marked with the same identifier to ensure assembly integrity), available two-dimensional carrier, including standard drawer / pallet specifications, available container specifications, and maintenance priority level P; the equipment list is associated with the equipment maintenance equipment database, supporting retrieval of basic equipment attributes, maintenance purpose, protection requirements, and assembly requirements; the maintenance priority level P includes emergency maintenance corresponding to wartime / sudden failure scenarios, denoted as P1, training maintenance corresponding to daily training support scenarios, denoted as P2, and routine maintenance corresponding to regular maintenance scenarios, denoted as P3; Step 1.2: Permission verification and 3D environment initialization. Step 1.2.1: Retrieve the mapping relationship between operators and permission levels from the encrypted database. Level 1 permission is for maintenance administrators, who can operate in scenarios P1-P3; Level 2 permission is for emergency operators, who can operate in scenarios P2-P3; Level 3 permission is for ordinary operators, who can only operate in scenario P3; if permissions do not match, a pop-up window will be displayed and the operation will be terminated. Step 1.2.2: Initialize the virtual environment based on the Three.js 3D scene engine, and generate a 1:1 3D volumetric model according to the equipment parameters. Regular equipment is directly generated as a cuboid model according to its actual dimensions (length × width × height); irregular equipment, such as irregularly shaped repair jigs, is generated as a regular cuboid model with the same volume according to the maximum outer cuboid of its packaging, or according to its minimum outer cuboid plus the size of the protective buffer layer. The thickness of the buffer layer is set according to the protection level: 5mm for precision level, 3mm for conventional level, and 4mm for heavy level. The same visual identifiers, such as color and set number, are given to the equipment models in the same set. Simultaneously, a 2D carrier model is generated, and the positioning reference points are marked and matched with the military positioning reference point database. The reference point accuracy is ±0.1mm. A container model (military standard container, such as JY1 type 1-ton container) is also generated, and the model is mapped to the real object 1:1. Among them, the 3D volumetric model is generated using parametric modeling tools, and the material is set according to the equipment type, including high reflective material for metal equipment and semi-transparent material for plastic equipment, to ensure that the visual recognition is consistent with the real object. Step 2: The algorithm initially calculates and generates a basic scheme for the two-dimensional layout and the three-dimensional dynamic simulation of the packing process. Step 2.1: Initial calculation of 2D layout, calling a fast greedy algorithm, with constraints including: ① Prioritize repair packaging sets, that is, equipment in the same set should be grouped into the same two-dimensional carrier and prioritized for placement in the quick access area. If the front of the carrier is x∈[0,200mm], it is not allowed to be separated. ② Intelligent positioning calibration: Based on the two-dimensional carrier reference point, a reference point alignment algorithm is used to control the accuracy of the equipment's planar coordinates within ±0.5mm; specifically, taking the two-dimensional carrier laser marking reference point (x0=0mm, y0=0mm) as the origin, deviation compensation values ​​Δx=0.02mm, Δy=-0.03mm are introduced when calculating the coordinates to ensure an accuracy of ±0.5mm; ③ The isolation distance of classified equipment is ≥30mm and the two-dimensional space utilization rate is ≥70%; generate the plane coordinates (x, y) of the equipment and render the layout in the three-dimensional environment simultaneously. Equipment in the same package is marked with the same color, and equipment with different maintenance purposes is marked with different colors, such as engine parts in blue and radar parts in red. Step 2.2: 3D dynamic simulation of the container packing process. Based on the 2D layout, the 3D dynamic simulation technology for container assembly and packing is used to pre-simulate the stacking process of the 2D carrier into the container in a 3D environment. The entire process of the carrier entering the container, adjusting its position, and completing the fixed process is dynamically displayed, and a 2D layout diagram and a 3D pre-stacking animation are output. Stacking conflict areas are marked, such as carrier size exceeding the container cavity or carrier overlap. The simulation frame rate is ≥24fpP, and normal / 2x speed / slow motion adjustment is supported. The core of the assembly and packing 3D dynamic simulation technology lies in transforming the static layout data output by the algorithm into a time-series 3D animation. The system analyzes the packing scheme, defines a keyframe animation path for each equipment model from its starting position to its final location, and uses interpolation algorithms to calculate its smooth motion trajectory. A global timeline controller precisely arranges the movement sequence and timing of all equipment models, supplemented by visual effects such as highlights and trajectory lines, ultimately dynamically and clearly reproducing the complete packing operation process in a 3D scene. The assembly and packing 3D dynamic simulation technology operation process specifically includes the following steps: (1) Data parsing and scene initialization, The system first parses the packing scheme data generated by the algorithm, which defines the final position, rotation angle and hierarchical relationship of each piece of equipment (equipment -> pallet / drawer -> container). Before the simulation starts, all equipment models are initialized and placed in a specific "packing area" in the scene or hidden, while the container and pallet models are in a ready state. (2) Keyframe animation and interpolation calculation, To achieve smooth animation effects, the system defines keyframes for the movement path of each device; the starting keyframe is the initial position of the device, and the ending keyframe is the final position and rotation state determined in the scheme; through linear interpolation or a smoother curve interpolation algorithm, the intermediate state (position, rotation) of the device is calculated during each frame rendering, thereby producing a visual effect of continuous motion. (3) Timing control and animation sequence management, The entire packing process is arranged as an ordered animation sequence; the system manages the triggering timing, duration, and sequence of all equipment animations through a global timeline controller; effects such as delay and synchronization can be set to simulate a realistic scene of items being placed one by one or in batches; the user interface provides controls such as play, pause, stop, and progress dragging, allowing users to have complete control over the simulation process; (4) Visual aids and layering enhancement, During the animation playback, the system will use visual effects such as highlighting, outline display, and trajectory lines to clearly indicate the currently moving equipment and its movement path; at the same time, by making it transparent and hiding irrelevant parts, the system will highlight the level involved in the current operation (such as highlighting the target tray position when moving a piece of equipment), further enhancing the clarity and guidance of the simulation. Step 2.3: Rule base pre-verification. Link the equipment maintenance material packaging rule base, including GJB145B-2023 Protective Packaging Specification and GJB10882-2023 Assembly Technical Requirements, to verify whether the scheme meets the requirements of container load ≤ rated value, equipment protection gap ≥ buffer thickness, and stacking center of gravity offset ≤ 10mm, to ensure transportation stability. If it does not meet the requirements, it will be automatically corrected, such as adjusting the stacking order of two-dimensional carriers or increasing the protection gap. Step 3: After two-dimensional layout, and before container stacking, three-dimensional visualization and manual intervention. Step 3.1: Intervention node triggering. After the two-dimensional layout is generated and before the container stacking entity is executed, the system pops up a three-dimensional interactive interface to prompt the operator to complete the intervention through the virtual environment, so as to avoid disassembly after the physical stacking, which is especially suitable for the rapid response requirements of military emergency maintenance. Step 3.2: Delineating the scope of intervention based on combat readiness levels. Step 3.2.1: P=P1, Emergency Repair, only open permissions for emergency replacement of two-dimensional carriers / containers (three-dimensional model updated synchronously), three-dimensional adjustment of the position of emergency key equipment (fine-tuning based on positioning reference points, dragging the model to modify x and y coordinates, and associating reference points to ensure accuracy ±0.5mm), and correction of the isolation area of ​​classified equipment. Adjustment of non-critical equipment is prohibited, and disassembling the repair packaging set is prohibited. Step 3.2.2: P=P2, train maintenance, grant permissions for dragging and adjusting the 3D model of maintenance equipment (verifying accuracy by associating with reference points), adding and deleting non-classified maintenance packaging sets (synchronously generating 3D models), and dividing the virtual area of ​​the 2D carrier (drawing operation channels), while restricting the position adjustment of the model of classified equipment; Step 3.2.3: P=P3, routine maintenance, grant full-process intervention permissions, including adding or deleting 3D models of maintenance equipment, changing 2D carrier / container specifications, adjusting 3D stacking order, modifying packaging parameters (such as buffer layer thickness), reassembling kits, and fine-tuning positioning reference points; Step 3.3: 3D visualization and interactive operation. Step 3.3.1: Equipment positioning and adjustment. Operators can drag and drop the 3D volumetric model of the repair equipment in a 3D environment, supporting switching between top / side / perspective views. The system continuously links to the positioning reference point, updates the model's planar coordinates (x, y), and displays the current coordinate deviation from the reference point, protective gaps, and space utilization, ensuring accuracy. When adjusting equipment within a repair package, all models in the same package are moved synchronously to avoid disassembly. Specifically, the adjustment of the repair package uses a group-linked drag-and-drop method. Selecting any equipment model within the package and dragging it will cause all models in the same package to move synchronously, maintaining their relative positions. Specifically, the equipment positioning adjustment adopts an interactive packing scheme. Within a 3D visualization environment, it provides users with an intuitive and efficient interactive method, enabling them to readjust the spatial position of already packaged equipment within a given scheme. Users can directly click, drag, and drop with the mouse to flexibly change the placement and order of the packaged equipment within pallets (drawers), between different pallets, and even between different containers, allowing for manual refinement of the automated scheme and thus improving the practicality and operability of the final solution. The interactive packing scheme for adjusting equipment positioning is implemented as follows: (1) Initialization of the interactive environment and selection of objects. When a user enters the scheme adjustment mode, the system enables mouse event listening for all movable equipment packaging models in the scene; when the user selects an equipment packaging box by clicking with the mouse, the system accurately determines the selected object and provides visual feedback such as highlighting to clarify the current operation target; (2) Drag and drop to change the spatial position. When a user holds down the mouse button and drags the selected equipment packaging box, the system calculates the mouse's displacement in three-dimensional space in real time; by converting screen coordinates to world coordinates, the system dynamically updates the position of the dragged model, making it follow the mouse movement and achieving a smooth dragging effect. (3) Collision pre-detection, To assist users in accurate positioning, when the dragged model approaches a legal placement surface (such as the bottom of a pallet or the top of other equipment) or a specific area inside a container, the system will perform collision pre-detection in real time and calculate the spatial relationship between the dragged model and other static objects in the scene; once a potential interference is detected, the system will prevent the packaging from moving further. (4) Placement confirmation and plan data update, When the user drags the model to the target location and releases the mouse, the system performs a final collision check; if the location is valid, the model is officially placed there; if invalid, the model can automatically bounce back to its original position or the nearest valid position. Once the placement is successful, the system's core data-driven mechanism is triggered, automatically updating the underlying packing scheme's data structure. This process includes modifying the coordinate information of the equipment packaging, updating its parent container, and recalculating the space occupancy rate of the relevant containers. Step 3.3.2: Visual editing of equipment packaging parameters. It supports direct modification of equipment packaging parameters in the 3D scene, such as buffer layer thickness and fixing method. The model size is updated in real time with the parameters. For example, if the buffer layer increases from 5mm to 8mm, the volume of the 3D model will increase synchronously to avoid the parameters from becoming disconnected from the model. For military precision repair equipment, such as optical sight repair parts, the protective effect after packaging can also be previewed. Among them, the equipment packaging parameter visualization editing allows users to directly adjust the equipment packaging parameters in the 3D simulation scene through intuitive mouse interaction (such as dragging and selecting), thereby realizing real-time linkage between parameter modification and 3D presentation, which greatly improves the intuitiveness, efficiency and accuracy of packaging solution design. The visual editing of equipment packaging parameters is achieved through an interactive parameter editing mechanism based on the Three.js engine. Its core process is as follows: (1) Scene and interaction initialization, The system loads a 3D scene containing equipment models, packaging box models, and container models. When the user selects to enter "edit mode", the system will activate a specific mouse event listener and add visual cues (such as highlighting) to the editable equipment models. (2) Intuitive interactive operations trigger parameter changes. Packaging Replacement: The system provides a visual packaging box model library in the sidebar of the interface or through the right-click menu; users can simply select the target packaging box model from the library with the mouse to complete the association and replacement of the packaging; behind this operation, the system will calculate the specification parameters (length, width, height, type ID) of the packaging box and automatically update the underlying data of the equipment. Specification adjustment: Users can select different specifications of boxes for the current packaging box category through the packaging model library in the sidebar of the interface. After selecting the relevant specification with the mouse, users can complete the association and change of the packaging. (3) Data-driven real-time visual feedback, After a user triggers parameter changes through interactive operations, the system's core data-driven mechanism responds immediately, synchronizing the new packaging parameters to the underlying data model and triggering real-time visual feedback to provide immediate verification. For example, the system will automatically perform preliminary collision detection based on the new packaging size. If spatial interference with surrounding equipment or container walls is detected, the system will immediately alert the user through visual warnings (such as a red highlighted outline). This allows for simultaneous adjustment and verification during the editing process, ensuring a high degree of consistency between the 3D scene state and the solution data, and greatly enhancing the intuitiveness and reliability of the editing process. (4) Confirmation and saving of editing results, After the user completes the visual adjustments, they can exit the editing mode; the system will persistently save the final packaging parameters and spatial layout information and generate a new packing plan. Step 3.3.3: Dynamic re-simulation. After each adjustment is completed, the 3D dynamic simulation of the packing process is triggered to recalculate and preview the stacking process after the adjustment. If there are conflicts, such as model overlap or center of gravity offset exceeding the threshold, the 3D scene will highlight the conflict area in red and display the solution adapted to the maintenance scenario, such as moving the engine component model 30mm to the left to meet the center of gravity requirements. Step 3.3.4: Permission Interception. If an operator attempts to perform an operation beyond their privileges, such as splitting, repairing, packaging, or assembling a package in the P1 scenario, the system will freeze the model operation and display a pop-up window showing the list of currently permitted operations with the priority specified in the list, which includes the operational specifications for military maintenance scenarios. Step 4: System self-learning and rule base update. Step 4.1: Extract key parameters for 3D adjustment. The system automatically collects feature parameters from the 3D interaction, including assembly parameters (e.g., P1-engine repair kit - fits into a 600×400mm carrier), positioning parameters (e.g., P1-radar repair parts - positioning accuracy ±0.5mm), carrier adaptation parameters (e.g., P2-moisture-proof equipment - uses a sealed groove carrier first), and packaging parameters such as military precision repair equipment (optical sight components). The thickness of the 3D model buffer layer is ≥5mm (model volume expansion parameter). If the adjustment involves packaging parameters, the parameter extraction must include the buffer layer thickness and sealing level, and the rules should be associated with the GJB145B-2023 protection requirements. Step 4.2: Rule entry generation and conflict verification. Step 4.2.1: Generate rule entries according to maintenance priority - equipment kit type - adjustment parameters - application scenario format, such as P1 - engine maintenance kit - same kit fits into 600×400mm carrier, accuracy ±0.5mm - wartime emergency maintenance; Step 4.2.2: Call the rule base conflict detection algorithm to compare the consistency between the new entry and the equipment maintenance material emergency packing rule base; if there is a conflict, such as a contradiction in the safety distance requirements in the same scenario, mark it as a conflict pending confirmation, and highlight the differences in three-dimensional parameters, such as the existing rule requiring 40mm and the new entry requiring 50mm; the conflict detection algorithm can use hash table comparison technology to perform layer-by-layer verification of the maintenance priority level, packing type, and adjustment parameters of the newly generated rule and the existing rule, and highlight the conflict parameters and mark the difference values; Step 4.3: Rule base update and model association. After review by the maintenance administrator, the new rule is added to the rule base and associated with the data-driven 3D volumetric model generation mechanism. When generating equipment models for the same maintenance scenario in the future, the 3D parameters in the rules, such as safety distance and buffer thickness, will be automatically loaded without the need for manual resetting. Step 5: Solution verification and entity execution instruction output. Step 5.1 Multi-dimensional verification, including ① Dynamic simulation verification confirmed that there were no conflicts during the stacking process and the center of gravity offset was ≤10mm; ② Accuracy and assembly verification: Check that the deviation between the equipment coordinates and the reference point is ≤0.5mm and that the kit is not disassembled; ③ Access control verification: Confirm whether there are any records of exceeding the authorized access. ④ Parameter consistency verification: Check the consistency between the 3D model parameters (size, buffer layer, fixing method) and the rule base entries and physical parameters to ensure that the virtual solution and the physical execution are without deviation; Step 5.2: Output the solution, including ① Two-dimensional layout coordinate diagram (including reference points) and three-dimensional stacked position diagram, marking the physical positioning parameters of equipment maintenance materials, accurate to 1mm, to meet the high precision requirements of military use; ② A 3D dynamic simulation video of the packing process, output in MP4 format, including annotations for equipment packing operations, such as prioritizing the fixing of engine components during emergency repairs, serving as a guide for physical packing operations. ③ Container stacking instructions, which specify the physical stacking order and fixing method of two-dimensional carriers, and specify that equipment carriers in the same package should be stacked on the lower layer first, and critical equipment carriers should be fixed with ratchet straps; ④ Adjust the log, including packing location, adjustment records, and maintenance history.

[0016] like Figure 2 The human-machine collaborative emergency packing and adjustment system for maintenance equipment shown includes Used to associate with the military equipment maintenance equipment coding system, storing the unique code of the equipment, maintenance history, storage environment requirements and maintenance packaging set ownership information, and supporting the rapid retrieval of the equipment maintenance equipment database with full life cycle data through the code; And a positioning reference point database for storing intelligent positioning reference point parameters of two-dimensional carriers; It also includes a rule base for establishing the mapping relationship between the equipment to be packaged, packaging rules and constraint mechanisms, and providing emergency packing rules for military equipment maintenance equipment. The rule base is configured to meet the business needs of the actual assembly and packing process and to build a logical management mechanism. The rule base consists of four parts: the inner protective packaging rule base, the unit merging packaging rule base, the middle packaging rule base, and the outer packaging rule base. The rule base provides the relevant constraints and calculation basis required in the packaging and packing calculation process, and is configured to store the equipment protection processing rules, unit merging packaging rules, middle packaging rules and outer packaging rule information. And an encrypted database used to store permission mappings, rule bases, and 3D model parameters of operators and permission levels through encryption algorithms; And a requirement access and permission verification module for receiving emergency requests, calling the equipment maintenance materials database, and verifying the operator's permissions; And a 3D environment and model generation module for generating 3D models of equipment, carriers, and containers, and linking them to a smart positioning reference point database; And a two-dimensional and three-dimensional scheme initial calculation module for deploying a fast greedy algorithm to generate a two-dimensional layout, performing three-dimensional dynamic simulation of the packing process, and pre-verifying the rule library for equipment maintenance and material packaging; And a 3D hierarchical intervention module that provides a 3D visualization interactive interface after 2D layout and before container stacking, defines intervention permissions according to maintenance priority level, and supports equipment model dragging, packaging parameter editing, dynamic simulation preview and dynamic re-simulation; And a self-learning and rule update module for extracting scene feature parameters for 3D adjustment, generating rule entries and completing conflict verification, updating the emergency packing rule base for military equipment maintenance materials after conflict verification, and associating it with the 3D model generation mechanism. And a solution verification and instruction output module for verifying solution compliance, outputting dynamic simulation videos, stacking instructions and adjustment logs.

[0017] Example 1: The human-machine collaborative emergency packing and adjustment method and system for maintenance equipment of the present invention is applied to the packing of emergency maintenance equipment for tank engines in an armored brigade for emergency maintenance (P1). Application scenario: An armored brigade of the Army is carrying out a wartime emergency mobilization mission. The tank engine suddenly malfunctions and needs urgent repair. The repair priority is emergency repair (P1). The engine overhaul kit needs to be completed within 10 minutes. It is compatible with the JY1 type 1-ton military container (900×1300×1300mm) to avoid delays in the repair of the battle damage due to the container. Repair requirements: Ensure the integrity of the assembly (disassembly is prohibited), isolate classified equipment (cylinder block components are classified as Level 1), ensure millimeter-level positioning accuracy, and urgently replace damaged standard drawers; Operator: Maintenance Administrator (Level 1 access, can operate P1-P3 scenarios); Basic parameters: as shown in Table 1.

[0018] Table 1: Basic Parameters

[0019] The specific implementation steps of the human-machine collaborative emergency packing and adjustment method for maintenance equipment of the present invention are as follows: Step 1: Emergency Requirement Access and 3D Environment Initialization Step 1.1: Receive the required parameters. The system obtains the equipment list, set identification, damaged carrier information, and repair priority level P1 through the military emergency terminal. It automatically links to the equipment repair material database and retrieves the cylinder block component repair history (no overhaul records) and storage environment requirements (moisture-proof and sealed). Step 1.2: Permission verification. The maintenance administrator has level 1 permissions and matches the P1 scenario. The system unlocks the corresponding operation permissions. Step 1.3: Initialize the 3D environment and generate a 3D model of the equipment based on the Three.js engine (the cylinder body parts are made of highly reflective metal material and are overlaid with a Class I confidential watermark; equipment in the same set is marked with a red set mark); mark the intelligent positioning reference points (x0=0mm, y0=0mm, accuracy ±0.1mm) on the 2D carrier model; the container model is a JY1 type 1:1 size. Step 2: Initial algorithm calculation and 3D dynamic simulation of the packing process. Step 2.1: Initial 2D layout calculation. A fast greedy algorithm is used, with constraints including priority for nested components, confidentiality isolation (spacing ≥ 30mm), and positioning accuracy ±0.5mm. The resulting layout is: cylinder block coordinates (120.0mm, 180.0mm), seal coordinates (250.0-500.0mm, 150.0mm), wrench coordinates (120.0-380.0mm, 280.0mm), achieving a 2D space utilization rate of 78%. Step 2.2: 3D dynamic simulation, pre-simulating the stacking process of the spare drawer (600×400×250mm) at 26fps, found that the top of the cylinder component was only 10mm away from the top edge of the drawer (not meeting the precision-grade 20mm buffer requirement), and marked as a potential risk; Step 2.3: Rule base pre-verification, associating with GJB145B-2023 standard, automatically correcting buffer clearance requirements, and prompting that the reserved space in the height direction of the cylinder block component needs to be adjusted; Step 3: 3D visualization intervention. Step 3.1: Intervention triggered. The system pops up a 3D interactive interface, and the maintenance administrator confirms the risk points through a perspective view. Step 3.2: Adjust the operation, drag the cylinder block component model to (120.0mm, 160.0mm), the system displays the positioning deviation as 0.2mm, the buffer gap as 30mm, and the confidential isolation distance as 35mm in real time, which is compliant; Step 3.3: Dynamic resimulation. After recalculation, it shows that there is no conflict in the drawer stacking and the center of gravity of the container is offset by 9.2mm≤10mm, so the risk is eliminated. Step 4: System self-learning and rule base update. Step 4.1: Parameter extraction. The system automatically collects E1-engine overhaul kit-fitting 600×400×250mm drawer with sealing groove, cylinder block component buffer clearance ≥30mm, positioning accuracy ±0.5mm; Step 4.2: Rule generation, generate entry E1-Engine overhaul kit-Installed in the same kit into 600×400×250mm sealing groove drawer, cylinder block buffer ≥30mm-Wartime emergency maintenance, no conflict; Step 4.3: Rule update. After approval, the rule is entered into the rule base and associated with the fast greedy algorithm. Step 5: Solution verification and output. Step 5.1: Multi-dimensional verification, dynamic simulation without conflict, positioning accuracy ±0.3mm, complete kit, no unauthorized operations; Step 5.2: Output the following solutions: ① Two-dimensional layout diagram (including reference point annotations) and three-dimensional stacking diagram; ② Dynamic simulation video (MP4 format, slow motion display of the stacking process); ③ Stacking instruction drawers are prioritized for the lower layer of the container, and cylinder components are secured with military ratchet straps; ④ Adjust the log and rule update records.

[0020] The implementation results are as follows: The total repair time was 8 minutes, which is 71% more efficient than the traditional process (28 minutes); the positioning accuracy was ±0.3mm, which meets the requirements of military precision repair; the kit was assembled without disassembly, and classified information was isolated in compliance with regulations, with a 100% interception rate for unauthorized operations; the newly added rules can be directly reused in the future, and there is no need to make repeated adjustments for similar scenarios.

[0021] The present invention relates to a human-machine collaborative emergency packing and adjustment method and system for maintenance equipment. Addressing the sudden needs of routine maintenance, training maintenance, and emergency maintenance of military equipment, this invention proposes a human-machine collaborative emergency adjustment scheme combining three-dimensional visualization interaction and dynamic simulation verification. It is applicable to the entire process of emergency optimization of two-dimensional layout and three-dimensional stacking of military equipment maintenance equipment, such as engine components for military vehicles, radar maintenance components, and firearms maintenance kits. It is particularly well-suited to the practical needs of military maintenance support requiring virtual preview and physical execution.

[0022] The above embodiments are merely preferred embodiments of the present invention. Therefore, all equivalent changes or modifications made to the structure, features and principles described in the claims of this patent application are included within the scope of this patent application.

Claims

1. A human-machine collaborative emergency packing and adjustment method for maintenance equipment, characterized in that, Includes the following steps: Step 1: Emergency access and maintenance scenario permission verification. Step 1.1: Receive emergency demand parameters, including the revised list of equipment to be packed for maintenance, available two-dimensional carrier specifications, available container specifications, and maintenance priority level P; the equipment list is associated with the equipment maintenance equipment database, supporting retrieval of basic equipment attributes, maintenance purpose, protection requirements, and assembly requirements; the maintenance priority level P includes emergency maintenance corresponding to wartime / sudden failure scenarios, denoted as P1, training maintenance corresponding to daily training support scenarios, denoted as P2, and routine maintenance corresponding to regular maintenance scenarios, denoted as P3; Step 1.2: Permission verification and 3D environment initialization. Step 1.2.1: Retrieve the mapping relationship between operators and permission levels from the encrypted database. Level 1 permission is for maintenance administrators, who can operate in scenarios P1-P3; Level 2 permission is for emergency operators, who can operate in scenarios P2-P3. Level 3 permissions are for ordinary operators, who can only operate in P3 scenarios; if permissions do not match, a pop-up message will be displayed and the operation will be terminated. Step 1.2.2: Initialize the virtual environment based on the 3D scene engine, generate a 3D volume model according to the equipment parameters, and simultaneously generate a 2D carrier model and a container model. The model and the physical object are mapped 1:

1. Step 2: The algorithm initially calculates and generates a basic scheme for the two-dimensional layout and the three-dimensional dynamic simulation of the packing process. Step 2.1: Initial calculation of 2D layout, calling the fast greedy algorithm; Step 2.2: 3D dynamic simulation of the packing process. Based on the 2D layout, the 3D dynamic simulation technology for packing is called to pre-simulate the stacking process of the 2D carrier into the container in a 3D environment. The entire process of the carrier entering the container, adjusting its position, and completing the fixing is dynamically displayed, and the 2D layout diagram and 3D pre-stacking animation are output; stacking conflict areas are marked. Step 2.3: Rule base pre-verification. Link the equipment maintenance material packaging rule base to verify whether the scheme meets the requirements of container load ≤ rated value, equipment protection gap ≥ buffer thickness, and stacking center of gravity offset ≤ 10mm to ensure transportation stability. If it does not meet the requirements, it will be automatically corrected. Step 3: After two-dimensional layout, and before container stacking, three-dimensional visualization and manual intervention. Step 3.1: Intervention node triggering. After the two-dimensional layout is generated and before the container stacking entity is executed, the system pops up a three-dimensional interactive interface to prompt the operator to complete the intervention through the virtual environment to avoid disassembly after the physical stacking. Step 3.2: Delineating the scope of intervention based on combat readiness levels; Step 3.3: 3D visualization and interactive operation. Step 3.3.1: Equipment positioning and adjustment. The operator switches and drags the 3D volume model of the maintenance equipment in the 3D environment. The system associates the positioning reference point in real time, updates the planar coordinates (x, y) of the model, and displays the deviation of the current coordinates from the reference point, the protective gap and the space utilization rate to ensure that the accuracy meets the standard. When adjusting the equipment in the maintenance packaging set, all models in the same package are moved synchronously to avoid disassembly. Step 3.3.2: Visual editing of equipment packaging parameters, supporting direct modification of repair equipment packaging parameters in the 3D scene, with model dimensions updated in real time according to the parameters, avoiding the disconnect between parameters and model; Step 3.3.3: Dynamic re-simulation. After each adjustment is completed, the 3D dynamic simulation of the packing process is triggered to recalculate and preview the stacking process after the adjustment. If there is a conflict, the conflict area is highlighted in red in the 3D scene, and the solution adapted to the maintenance scenario is displayed. Step 3.3.4: Permission Interception. If an operator attempts to perform an operation beyond their privileges, the system freezes the model's operation and displays a pop-up window showing the list of currently permitted operations with the priority specified in the military maintenance scenario. Step 4: System self-learning and rule base update. Step 4.1: Extraction of key parameters for 3D adjustment. The system automatically collects feature parameters in 3D interaction, including assembly parameters, positioning parameters, carrier adaptation parameters, and packaging parameters. Step 4.2: Rule entry generation and conflict verification. Step 4.2.1: Generate rule entries according to maintenance priority - equipment set type - adjustment parameters - application scenario format; Step 4.2.2: Call the rule base conflict detection algorithm to compare the consistency of the new entry with the equipment maintenance material emergency packing rule base; if there is a conflict, mark it as a conflict pending confirmation and highlight the differences in three-dimensional parameters; Step 4.3: Rule base update and model association. After review by the maintenance administrator, the new rule is added to the rule base and associated with the data-driven 3D volumetric model generation mechanism. When generating equipment models for the same maintenance scenario in the future, the 3D parameters in the rules will be automatically loaded without the need for manual re-setting. Step 5: Solution verification and entity execution instruction output.

2. The human-machine collaborative emergency packing and adjustment method for maintenance equipment according to claim 1, characterized in that, In step 1.2.2, the specific execution method for generating a three-dimensional equal-volume model according to the equipment parameters is as follows: regular equipment is generated directly according to the actual size, and irregular equipment is generated according to the maximum outer cuboid of its packaging, or according to its minimum outer cuboid plus the size of the protective buffer layer to generate a regular cuboid model of equal volume. The thickness of the buffer layer is set according to the protection level: 5mm for precision level, 3mm for conventional level, and 4mm for heavy-duty level. The same visual identifier is given to the equipment models in the same set.

3. The emergency packing and adjustment method for maintenance equipment using human-machine collaboration as described in claim 2, characterized in that, In step 1.2.2, the three-dimensional volume model is generated using a parametric modeling tool, and the material is set according to the type of equipment, including a highly reflective material for metal equipment and a semi-transparent material for plastic equipment, to ensure that the visual recognition is consistent with the actual object.

4. The emergency packing and adjustment method for maintenance equipment using human-machine collaboration as described in claim 1, characterized in that, In step 2.1, the constraints of the fast greedy algorithm include: ① Prioritizing repair and packaging sets, i.e., equipment in the same set is grouped into the same two-dimensional carrier and given priority in the quick access area, and splitting is prohibited; ② Intelligent positioning and calibration, relying on the reference point of the two-dimensional carrier, using the reference point alignment algorithm to control the accuracy of the equipment's planar coordinates within ±0.5mm; ③ The isolation distance of classified equipment is ≥30mm and the two-dimensional space utilization rate is ≥70%; the equipment's planar coordinates (x, y) are generated and simultaneously rendered and laid out in the three-dimensional environment.

5. The emergency packing and adjustment method for maintenance equipment using human-machine collaboration as described in claim 1, characterized in that, The specific delineation method for step 3.2 is as follows: Step 3.2.1: P=P1, only permissions are granted for emergency replacement of two-dimensional carriers / containers, three-dimensional adjustment of the location of emergency key equipment, and correction of the isolation area of ​​classified equipment. Adjustment of non-critical equipment is prohibited, and disassembly of repair packaging sets is also prohibited. Step 3.2.2: P=P2, grant permissions to drag and adjust the 3D model of maintenance equipment, add and delete non-classified maintenance packaging sets, and divide the virtual area of ​​the 2D carrier, while restricting the adjustment of the position of the model of classified equipment; Step 3.2.3: P=P3, grant full-process intervention permissions, including adding or deleting 3D models of maintenance equipment, changing 2D carrier / container specifications, adjusting 3D stacking order, modifying packaging parameters, reconstructing sets, and fine-tuning positioning reference points.

6. The emergency packing and adjustment method for maintenance equipment using human-machine collaboration as described in claim 1, characterized in that, The specific verification and output methods for step 5 are as follows: Step 5.1 Multi-dimensional verification, including ① Dynamic simulation verification confirmed that there were no conflicts during the stacking process and the center of gravity offset was ≤10mm; ② Accuracy and assembly verification: Check that the deviation between the equipment coordinates and the reference point is ≤0.5mm and that the kit is not disassembled; ③ Access control verification: Confirm whether there are any records of exceeding the authorized access. ④ Parameter consistency verification: Check the consistency between the 3D model parameters and the rule base entries and physical parameters to ensure that the virtual solution and the physical execution are without deviation; Step 5.2: Output the solution, including ① Two-dimensional layout coordinate diagram and three-dimensional stacked position diagram, marking the physical positioning parameters of equipment and maintenance materials, accurate to 1mm; ②A 3D dynamic simulation video of the packing process, output in MP4 format, including annotations of the equipment packing operation; ③ Container stacking instructions, which specify the physical stacking order and fixing method of two-dimensional carriers, and specify that equipment carriers in the same package should be stacked on the lower layer first, and critical equipment carriers should be fixed with ratchet straps; ④ Adjust the log, including packing location, adjustment records, and maintenance history.

7. The human-machine collaborative emergency packing and adjustment system for maintenance equipment according to any one of claims 1 to 6, characterized in that, This includes a coding system for associated military equipment maintenance materials, storing unique codes for equipment, maintenance history, storage environment requirements, and information on the ownership of maintenance packaging sets, and a database of equipment maintenance materials that supports quick retrieval of the entire lifecycle data of the materials through coding; And a positioning reference point database for storing intelligent positioning reference point parameters of two-dimensional carriers; It is used to establish the mapping relationship between the equipment to be packaged, packaging rules and constraint mechanisms, and to provide emergency packing rules for military equipment maintenance equipment, and to configure a rule base to build a logical management mechanism to meet the actual assembly and packing process business needs; And an encrypted database used to store permission mappings, rule bases, and 3D model parameters of operators and permission levels through encryption algorithms; And a requirement access and permission verification module for receiving emergency requests, calling the equipment maintenance materials database, and verifying the operator's permissions; And a 3D environment and model generation module for generating 3D models of equipment, carriers, and containers, and linking them to a smart positioning reference point database; And a two-dimensional and three-dimensional scheme initial calculation module for deploying a fast greedy algorithm to generate a two-dimensional layout, performing three-dimensional dynamic simulation of the packing process, and pre-verifying the rule library for equipment maintenance and material packaging; And a 3D hierarchical intervention module that provides a 3D visualization interactive interface after 2D layout and before container stacking, defines intervention permissions according to maintenance priority level, and supports equipment model dragging, packaging parameter editing, dynamic simulation preview and dynamic re-simulation; And a self-learning and rule update module for extracting scene feature parameters for 3D adjustment, generating rule entries and completing conflict verification, updating the emergency packing rule base for military equipment maintenance materials after conflict verification, and associating it with the 3D model generation mechanism. And a solution verification and instruction output module for verifying solution compliance, outputting dynamic simulation videos, stacking instructions and adjustment logs.

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