Spatial visualization-based stockpiling plan making method and system

Abstract

The invention provides a stockpiling plan making method and system based on space visualization, which are applied to the technical field of port stockpiling scheduling, and by constructing a multi-level visual interaction environment corresponding to a stockpiling physical space, the stockpiling plan making method and system fuse the stockpiling space, container attributes and stockpiling rules into the same graphical interaction environment. A traditional plan making process depending on text and experience is converted into a process that a user visually generates a stockpiling plan through graphic operations such as area delimiting and plan group associating, the stockpiling plan is automatically checked based on a preset stockpiling rule, and accurate visual feedback is provided for found abnormal states and positions. According to the method, a user can directly carry out graphical adjustment and calibration in the same visual space based on visual feedback, so that conversion from static table operation to dynamic, closed-loop and visual interactive decision making is realized, and the intuition, efficiency and complex environment adaptability of plan making are remarkably improved.

Description

Technical Field

[0001] This application relates to the field of port storage scheduling technology, specifically to a storage planning method and system based on spatial visualization. Background Technology

[0002] In recent years, with the continuous increase in global container throughput, automated container ports have become the core hubs of multimodal transport systems, undertaking core functions such as container storage and transshipment. In port operations, container storage is a crucial link in maximizing port efficiency, requiring scientific planning for the receipt, storage, retrieval, and transfer of large quantities of containers to maximize the use of limited yard space, reduce container turnover rates, and ensure operational safety.

[0003] Currently, container storage planning still relies heavily on manual labor. On the one hand, the planning process requires manual querying of container attributes and allocation to yard space, which is cumbersome and inefficient. On the other hand, manual planning is mainly based on textual information such as yard attributes and container attributes, which has low visibility and makes it difficult for planners to intuitively grasp the usage status of yard space and cope with complex operating environments.

[0004] Therefore, a new storage planning scheme is needed. Summary of the Invention

[0005] In view of this, the embodiments of this specification provide a storage planning method and system based on spatial visualization, which transforms the traditional static storage planning process that relies on text and tables into an interactive decision-making process that performs graphical operations, provides real-time feedback and closed-loop optimization in a dynamic, multi-level, and interactive visualization space. This effectively solves the problems of reliance on text information, low visualization and low efficiency in the existing port storage planning process, and significantly improves the efficiency of storage planning and the utilization rate of yard space.

[0006] The embodiments in this specification provide the following technical solutions: This specification provides an embodiment of a heap planning method based on spatial visualization, including: Based on the physical storage space of the yard, a visualization space for the yard is constructed. The visualization space includes multiple levels of views and supports interactive editing of the views by users. In the visualization space, in response to user operations, at least one heap plan group is created, and at least one heap area is defined in the view through graphical operations. The heap area is associated with the heap plan group to generate a heap plan. Based on the preset heaping rules, the heaping plan is verified. If the verification result indicates that the heaping plan is abnormal, the abnormal state and the corresponding abnormal location are visually fed back in the visualization space. The heaping plan is calibrated in response to a graphical adjustment operation performed by the user on the visualization space based on the visual feedback.

[0007] This specification also provides a heap planning system based on spatial visualization, the heap planning system comprising: The yard visualization space construction module is used to construct a visualization space of the yard based on the physical storage space of the yard. The visualization space includes multiple levels of views and supports interactive editing of the views by users. The heaping plan formulation module is used to create at least one heaping plan group in response to user operation in the visualization space, and to delineate at least one heaping area in the view through graphical operation, associate the heaping area with the heaping plan group, and generate a heaping plan. The heaping plan verification module is used to verify the heaping plan based on preset heaping rules. If the verification result indicates that the heaping plan is abnormal, visual feedback is provided on the abnormal state and the corresponding abnormal location in the visualization space. The heaping plan optimization and calibration module is used to calibrate the heaping plan in response to a graphical adjustment operation performed by the user on the visualization space based on the visual feedback.

[0008] Compared with the prior art, the beneficial effects that at least one technical solution adopted in the embodiments of this specification can achieve include at least: This application constructs a multi-level visual space for the storage yard, enabling users to intuitively create plans, delineate areas, and link them in real time within a graphical interface. It also automatically verifies plans based on preset storage rules, provides visual alerts for abnormal locations and states, and allows users to make interactive adjustments directly on the view. This achieves a closed-loop graphical operation for the entire process of storage planning, from formulation and verification to optimization. It significantly improves the intuitiveness, interactive efficiency, and dynamic calibration capabilities of storage planning, effectively solves the problem of poor visualization in container storage allocation, reduces manual labor intensity, and significantly improves the efficiency of storage planning and the utilization rate of storage yard space. Attached Figure Description

[0009] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a flowchart of a storage planning method based on spatial visualization, as described in this application. Figure 2 This is a multi-level view schematic diagram of a spatial visualization-based heap planning method in this application; Figure 3 This is a schematic diagram of the stacking space location adjustment in a stacking plan formulation method based on spatial visualization according to this application; Figure 4 This is a flowchart of the steps in a spatial visualization-based heap planning method described in this application. Detailed Implementation

[0011] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0012] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0013] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this application, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number and aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using structures and / or functionalities other than one or more of the aspects set forth herein.

[0014] It should also be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. The drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the shape, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0015] Additionally, specific details are provided in the following description to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that practice can be carried out without these specific details.

[0016] In port operations, container storage is a key factor affecting the overall efficiency of the port. Currently, traditional storage planning methods mainly rely on planners manually processing text reports and coded charts. This requires converting abstract textual information such as container attributes and yard location information into spatial layouts. In complex operational scenarios, this can easily lead to discrepancies between understanding and reality, resulting in low decision-making efficiency, high error rates, and difficulty in responding to complex and dynamic operational environments in a timely manner.

[0017] In view of this, the inventors discovered through research and improvement that the existing planning method not only requires manual querying of container attributes and allocation to yard space, which is inefficient, but more importantly, the planners are dealing with textual information in the database and must transform this textual information into a three-dimensional spatial image in their minds before making plans. This is extremely difficult and makes it difficult for planners to intuitively grasp the actual usage status of the yard space. In complex scenarios, the plan is very likely to become disconnected from reality.

[0018] Based on this, this specification addresses the problems of low visualization, high reliance on manual intervention, and difficulty in dynamic adjustment during the aforementioned storage planning process. It proposes a storage planning method based on spatial visualization. The overall approach is as follows: By constructing a multi-level visual interactive environment that maps the physical space of the storage yard, the storage yard space, container attributes, storage rules, and planning process are deeply integrated into a graphical interactive environment. This transforms the traditional storage planning process, which relies on text and experience, into a user-visualized interactive process where users can intuitively view the storage plan through graphical operations within this visual space, such as defining areas and associating plan groups. The system automatically verifies the storage plan according to preset storage rules and provides precise visual feedback on any anomalies detected. This allows users to directly perform graphical adjustments and calibrations within the same visual space based on the visual feedback. Thus, the traditional static storage planning process, which relies on text and tables, is transformed into a graphical, closed-loop optimized interactive decision-making process completed in a dynamic, multi-level, and interactive visual space. This significantly improves the intuitiveness, efficiency, and ability to handle complex operating environments of the storage plan.

[0019] The technical solutions provided by the various embodiments of this application are described below with reference to the accompanying drawings.

[0020] like Figure 1 As shown in the embodiments of this specification, a method for formulating a heap plan based on spatial visualization is provided, including: Step S100: Based on the physical storage space of the storage yard, construct a visualization space for the storage yard. The visualization space includes multiple levels of views and supports interactive editing of the views by the user.

[0021] Specifically, a visualization space containing multi-level views is constructed, which transforms the physical structure, spatial status, and business rules of the storage yard into an interactive digital mapping. This visualization space supports multi-functional view editing, allowing users to interactively edit the views through graphical operations, such as area division and storage attribute labeling, providing a visual foundation for the intuitive formulation and dynamic management of storage plans.

[0022] Step S200: In the visualization space, in response to user operation, at least one heap plan group is created, and at least one heap area is defined in the view through graphical operation. The heap area is associated with the heap plan group to generate a heap plan.

[0023] In implementation, the visualization space is presented to users in the form of a visual interactive interface. Users can visualize and customize storage plans within the visualization space, create at least one storage plan group, and allocate yard space for containers within the storage plan group using graphical visualization methods. Specifically: In the multi-level view, users can intuitively define one or more storage areas through graphical operations and associate the storage areas with the corresponding storage plan groups, thereby completing the graphical spatial allocation from container groups to specific yard locations and generating executable storage plans.

[0024] Step S300: Based on the preset heaping rules, the heaping plan is verified. If the verification result indicates that the heaping plan is abnormal, visual feedback is given on the abnormal state and the corresponding abnormal location in the visualization space.

[0025] During implementation, based on pre-configured stacking rules, such as receiving order, weight range, temperature range, and stacking layer limits, multiple rules can be combined to create applications. The generated stacking plan is automatically verified, and the rule configuration results are displayed in real time in the view, taking effect synchronously during the verification process. Once an anomaly is detected, the abnormal state and corresponding location are intuitively fed back in the visualization space through visual means such as color changes, icon prompts, or highlighted indicators, thereby helping users quickly identify and locate the problem.

[0026] Step S400: In response to a graphical adjustment operation performed by the user on the visualization space based on the visual feedback, the heaping plan is calibrated.

[0027] During implementation, based on the aforementioned visual feedback, users can directly make graphical adjustments to anomaly-related elements in the same visualization space, such as moving heaping plan groups or adjusting the boundaries of defined heaping areas by dragging and dropping, and modifying space allocation. For example, you can modify the associated attributes or priority of a heap plan group by clicking or using the properties panel; It should be noted that all adjustments are made graphically. The system then re-verifies and updates the visual feedback and statistical indicators based on the updated information, thereby achieving closed-loop optimization and calibration of the storage plan in a visual interactive environment. This improves the efficiency of storage plan formulation and the utilization rate of yard space while reducing the intensity of manual operations.

[0028] In some embodiments, the interactive editing of the view includes: In the view, spatial regions are divided through graphical operations to define spatial regions with different stacking functions; Label the storage attributes of the divided or selected spatial regions; Furthermore, based on the current stacking status and the generated stacking plan, the view graphically simulates the stacking space occupancy status at a future specified time to conduct a future stacking capacity preview.

[0029] Specifically, users can directly define boundaries on the visual view through graphical operations (such as dragging and selecting), thereby dividing the yard into multiple spatial areas with clear functional orientations and completing the spatial area division, such as: dividing out export loaded container areas, empty container turnover areas, cold chain container areas, hazardous goods temporary isolation areas, etc., replacing the traditional coordinate or text description method, and enabling intuitive visualization planning of the yard's functional layout. In the designated or selected spatial areas, users can use a graphical interface to mark specific stacking business rules or restrictions. For example, they can mark a certain area with attributes such as "only 20-foot containers are allowed to be stacked", "the maximum stacking height is 4 layers", and "mixing ordinary containers and dangerous goods containers is prohibited". This will bind the business rules to the specific space in a visual and structured way, providing clear constraints for subsequent automatic verification and planning. Furthermore, based on the current actual storage status of the storage yard and the established storage plan, the view can graphically simulate and present the storage yard space occupancy status at a specified future time (e.g., 6 hours later), thereby enabling an intuitive assessment of the impact of the current plan on the future, early identification of potential capacity bottlenecks or layout conflicts, and thus supporting decision optimization and resource pre-scheduling.

[0030] This application's interactive editing achieves a complete closed loop from space partitioning to rule binding and state deduction, making the visualized space not only a static mapping of the current yard, but also a dynamic management platform that can be planned, defined, and simulated, significantly improving the management efficiency and utilization rate of yard space.

[0031] In some embodiments, the multi-level view supports hierarchical display and spatial detail switching from the overall yard layout to local container areas, bays, and slots; The views include at least one of the following: a yard overview view, a satellite view, a block view, a scan view, and a cross-sectional view.

[0032] During implementation, such as Figure 2 As shown, yard space visualization achieves comprehensive spatial mapping from macro to micro by constructing a system containing multi-level views. The views include: yard overview view, satellite view, block view, scan view, and cross-sectional view, etc. It supports hierarchical display from the overall yard layout to specific container areas, bays, and even tanks. The views at different levels can be seamlessly switched at different zoom levels, allowing users to freely navigate between the global overview and local details, thereby comprehensively, intuitively, and accurately grasping the actual distribution of yard blocks, bays, tanks, and containers.

[0033] In some embodiments, the graphical operations include at least one of: view zooming, view dragging, view highlighting, and partition color annotation; Different colors are used to distinguish different types of containers, different stacking plan groups, or different space occupancy statuses.

[0034] In implementation, users can achieve efficient presentation and interactive management of heap space status through graphical operations, specifically: Users can use the mouse wheel, gestures, or buttons to zoom in and out of different views, dynamically adjust the display ratio of the view, and achieve stepless zooming and smooth transition from the macro view of the overall layout of the yard to the micro details of a specific container area or bay. It also supports semantic switching and focusing between different spatial levels. Users can drag and drop to move the current view window freely in order to browse other areas of the yard that are outside the current display range; Users can highlight a specific graphic element (such as a bin area, a planning group, or a specific bin location) by changing its border color, adding a glowing effect, or increasing its brightness when they hover the cursor over or click on it, thus clarifying the target of the current interaction. You can also assign specific colors to different business attributes based on preset rules or user-defined rules: For example, different colors can be used to distinguish different types of containers. For instance, blue can represent ordinary containers, red can represent dangerous goods containers, and green can represent refrigerated containers (the colors here are just examples, and can be customized in actual applications). For example, assigning unique colors to each heaping plan group makes the heaping plan group easily visible in all views, facilitating tracking and management; For example, different colors can be used to distinguish different space occupancy statuses. For instance, different colors or different shades can be used to represent different statuses such as "occupied", "free", and "reserved".

[0035] This embodiment uses color gradients, fill ratios, or 3D stacking effects to graphically present the expected remaining capacity, congestion level, and container distribution in each area, enabling planners to intuitively assess the impact of the current plan on the future and identify potential capacity bottlenecks or layout conflicts in advance.

[0036] In some embodiments, when defining a stack area through graphical operations, the available space capacity of the stack area is displayed based on the defined stack area and a preset stack state.

[0037] In practice, when a user delineates a storage area in the visual interface through graphical operations (such as dragging or selecting with the mouse), the system will automatically calculate the total number of available slots for all stacks in the area based on the specific stack locations (stacks) covered by the area and their preset status, including the maximum allowed stack height, the current actual number of stack layers, and the pre-occupied bin information. The system will then display the real-time available space capacity of the delineated area on the interface through graphical overlay (such as transparency indicators) or numerical labels (such as: available bins: XX), thereby achieving instant visual feedback.

[0038] In some embodiments, creating at least one heap plan group includes: An allocation filter is created based on the set of attributes of the container, and logistics attribute rules are associated with the allocation filter to form an allocation group; The attribute set includes at least one of size and cargo type; the logistics attribute rules include at least one of container category, carrier, and destination port. Based on the allocation group, the heaping plan group is generated.

[0039] In practice, creating a stacking plan group involves creating and matching the attributes of the relevant plan groups for container groups of different stacking types, including standard export container receiving plan groups, export container plan groups classified by weight class, empty container receiving plan groups, refrigerated container receiving plan groups, and local / transit container unloading and receiving plan groups, etc.

[0040] Heap storage types are mainly divided into two categories: One type is the .allocation filter: a collection of box attributes (such as size, cargo type, etc.); Another type is logistics attributes: category (e.g., export, import transit), carrier (e.g., ship, train, route), port (e.g., port), which define the container's transportation task and business context.

[0041] An allocation filter is created based on the attributes of the expected containers (i.e., containers to be stacked). The attribute set mainly includes the physical and business attributes of the containers, such as at least one of the container size (e.g., 20 feet, 40 feet) and cargo type (e.g., general cargo, dangerous goods, refrigerated cargo). The purpose of creating the filter is to initially select a group of containers with common physical characteristics from all containers.

[0042] Subsequently, the system associates specific logistics attribute rules with this allocation filter, that is, creates an allocation group.

[0043] Next, divide the allocation area for the allocation group - specify the location in the storage yard; Finally, the location is selected according to the rules of the allocation group and allocation range.

[0044] This embodiment combines different attributes and rules to quickly and flexibly create plan templates that adapt to various complex business scenarios, providing a clear, reliable, and highly configurable operation object for subsequent intuitive "drag-and-drop" allocation in the visualization space.

[0045] In some embodiments, container planning group attributes include core parameters such as container category, associated vessel or route, target port, container type, and status.

[0046] In some embodiments, defining at least one heap area in the view via graphical operations includes: Based on preset stacking rules, the target bin area range can be selected by drawing graphical boundaries through graphical drag-and-drop operations in satellite view or block view; Through preset interactive operations, the selected target container area range is automatically associated with the corresponding stacking plan group.

[0047] Based on the above embodiments, assuming that an allocation group has been created, users can directly select a custom space range (i.e., the planned location) on the target bin area in the satellite view or block view provided by the visualization interactive platform according to preset stacking rules (such as bin type matching, weight classification and other business constraints). This can be done through intuitive graphical drag-and-drop operations (such as drawing rectangles, polygons and other graphic boundaries with the mouse).

[0048] Then, through preset interactive operations (for example, clicking the graphic area defined in the previous step onto the created allocation group), the logical binding between the selected target bin area range and the corresponding stacking plan group is automatically established.

[0049] At this point, the allocation group will calculate the available space capacity based on the selected area and the stack status (such as how many boxes a stack set up in another location can hold), and update the display in real time.

[0050] This embodiment transforms abstract space allocation instructions into graphical drag-and-drop and associated actions that conform to human spatial intuition. At the same time, the system automatically completes complex rule verification and capacity calculation in the background, realizing the transformation from manual judgment and execution to efficient human-machine collaborative decision-making, and solving the problem of poor visualization of container stacking and allocation.

[0051] In some embodiments, providing visual feedback on the abnormal state and its corresponding location in the visualization space includes: Regularly check the container yard layout and attribute information within the yard; When an abnormal stacking is detected, a warning is displayed in the visualization space by means of color change or icon identification; The stacking anomalies include at least one of stacked boxes, mixed stacking, suspended stacking, and dangerous goods stacked too close together.

[0052] In practice, the technical method of calibrating and providing feedback on the execution status of the storage plan based on the limiting factors of the graphical space allocation includes data such as occupied container spaces, reserved container spaces, and available container spaces. It can periodically check the layout and attributes of the container yard and reflect abnormal states such as storage overflow, abnormal cold box temperature, and spatial overlap by color change or icon marking.

[0053] Specifically, by periodically checking the layout and attributes of containers in the yard, abnormal container stacking situations can be detected, such as stacked containers, mixed stacking, suspended containers, and dangerous goods stacked too close together. The yard control will be alerted to the specific containers and their locations, and the specific location can be quickly identified on the yard map for handling.

[0054] Colors can be customized in the color palette; currently, the most commonly used color is green.

[0055] The stacking status is determined by the layer height. Different layer heights correspond to different colors, and you can customize the gradient color. The higher the layer, the darker the color, which will also be more eye-catching and a reminder.

[0056] The reminder can be based on the color intensity or a clear distinguishing color (red, green, blue, yellow, etc.).

[0057] In some embodiments, calibrating the heaping plan includes: Based on the location of the anomaly, the position of the allocated heap area in the visualization space is graphically adjusted; and / or, Based on the abnormal state, modify the attributes of the stacking plan group associated with the stacking area or the associated stacking rule parameters. The stacking plan group's attributes include at least one of priority, activation status, and space capacity configuration of the stacking area; the stacking rule parameters include at least one of the following: receiving order, weight range, temperature range, and stacking layer limit.

[0058] like Figure 3 As shown, the operation of finely adjusting the storage location in the visualization space by dragging or adjusting the storage markers includes adjusting the priority of the storage plan group, expanding or shrinking the space, switching the activation or deactivation status, allocating the work line and gantry crane plan, updating the yard plan, etc. Among them, the graphical allocation can present key indicators such as storage statistics reports, yard utilization rate, and plan execution progress in real time.

[0059] For example, when there is a stacking anomaly, you can double-click the anomaly to open the corresponding bitmap and manually check if there is an anomaly again. If there is an anomaly and it does not match the actual situation, you can manually drag and drop the boxes to move them away, or adjust the stack state to meet the requirements. For example, if the stack height limit is 4 layers but the actual stack height is 5 layers, you can adjust the stack height limit by selecting the corresponding stack.

[0060] It should be noted that when a problem is pointed out, the user does not modify the code or parameters in another system, but directly corrects it in the same view by dragging and dropping, modifying graphic properties, etc. The system then updates all relevant data and view status in real time.

[0061] This application constructs a multi-layered, visualized space for the container yard, utilizing graphical drag-and-drop operations and preset rules for space allocation and storage planning. This solves problems such as the lack of intuitiveness of textual information and the difficulty in interpreting text. It not only effectively improves the convenience of manual operation but also allows staff to intuitively grasp the status of the container yard, significantly shortening the planning cycle and demonstrating strong adaptability to complex container operating environments.

[0062] Below is another example of a heap planning method based on spatial visualization, which is a schematic illustration combining the previous examples.

[0063] like Figure 3 As shown, the present invention provides a storage planning method based on spatial visualization, which includes the following steps: Step S1, constructing a storage yard visualization space according to the storage space of the storage yard, wherein the storage yard visualization includes multi-level views and multi-functional view editing, which is a visualization presentation of the internal space of the storage yard; Step S2: Based on the storage visualization space, perform storage plan visualization formulation. The storage plan visualization formulation includes the creation of storage plan groups and graphical space allocation, which is a technical means of allocating yard space for containers in the storage plan group through graphical visualization. Step S3: Based on the graphical space allocation, perform heap space calibration and optimization; the heap space calibration and optimization includes heap space position adjustment and abnormal status feedback, which is to calibrate and adjust the rationality of heap space position allocation.

[0064] Based on the same inventive concept, this application also provides a storage planning system based on spatial visualization, the storage planning system comprising: The yard visualization space construction module is used to construct a visualization space of the yard based on the physical storage space of the yard. The visualization space includes multiple levels of views and supports interactive editing of the views by users. The heaping plan formulation module is used to create at least one heaping plan group in response to user operation in the visualization space, and to delineate at least one heaping area in the view through graphical operation, associate the heaping area with the heaping plan group, and generate a heaping plan. The heaping plan verification module is used to verify the heaping plan based on preset heaping rules. If the verification result indicates that the heaping plan is abnormal, visual feedback is provided on the abnormal state and the corresponding abnormal location in the visualization space. The heaping plan optimization and calibration module is used to calibrate the heaping plan in response to a graphical adjustment operation performed by the user on the visualization space based on the visual feedback.

[0065] In this specification, the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the descriptions of the embodiments described later are relatively simple, and relevant parts can be referred to the descriptions of the foregoing embodiments.

[0066] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for developing a heap storage plan based on spatial visualization, characterized in that, include: Based on the physical storage space of the yard, a visualization space for the yard is constructed. The visualization space includes multiple levels of views and supports interactive editing of the views by users. In the visualization space, in response to user operations, at least one heap plan group is created, and at least one heap area is defined in the view through graphical operations. The heap area is associated with the heap plan group to generate a heap plan. Based on the preset heaping rules, the heaping plan is verified. If the verification result indicates that the heaping plan is abnormal, the abnormal state and the corresponding abnormal location are visually fed back in the visualization space. The heaping plan is calibrated in response to a graphical adjustment operation performed by the user on the visualization space based on the visual feedback.

2. The method for formulating a storage plan according to claim 1, characterized in that, The interactive editing of the view includes: In the view, spatial regions are divided through graphical operations to define spatial regions with different stacking functions; Label the storage attributes of the divided or selected spatial regions; Furthermore, based on the current stacking status and the generated stacking plan, the view graphically simulates the stacking space occupancy status at a future specified time to conduct a future stacking capacity preview.

3. The method for formulating a storage plan according to claim 1, characterized in that, The multi-level view supports hierarchical display and spatial detail switching from the overall yard layout to local container areas, bays, and slots; The views include at least one of the following: a yard overview view, a satellite view, a block view, a scan view, and a cross-sectional view.

4. The method for formulating a storage plan according to claim 1, characterized in that, The graphical operations include at least one of: view zooming, view dragging, view highlighting, and partition color annotation; Different colors are used to distinguish different types of containers, different stacking plan groups, or different space occupancy statuses.

5. The method for formulating a storage plan according to claim 1, characterized in that, When defining a stack area through graphical operations, the available space capacity of the stack area is displayed based on the defined stack area and the preset stack state.

6. The method for formulating a storage plan according to claim 1, characterized in that, Creating at least one heap plan group includes: An allocation filter is created based on the set of attributes of the container, and logistics attribute rules are associated with the allocation filter to form an allocation group; The attribute set includes at least one of size and cargo type; the logistics attribute rules include at least one of container category, carrier, and destination port. Based on the allocation group, the heaping plan group is generated.

7. The method for formulating a storage plan according to claim 1, characterized in that, The step of defining at least one stacking area in the view through graphical operations includes: Based on preset stacking rules, the target bin area range can be selected by drawing graphical boundaries through graphical drag-and-drop operations in satellite view or block view; Through preset interactive operations, the selected target container area range is automatically associated with the corresponding stacking plan group.

8. The method for formulating a storage plan according to claim 1, characterized in that, The step of providing visual feedback on abnormal states and their corresponding locations in the visualization space includes: Regularly check the container yard layout and attribute information within the yard; When an abnormal stacking is detected, a warning is displayed in the visualization space by means of color change or icon identification; The stacking anomalies include at least one of stacked boxes, mixed stacking, suspended stacking, and dangerous goods stacked too close together.

9. The method for formulating a storage plan according to claim 1, characterized in that, The calibration of the heaping plan includes: Based on the location of the anomaly, the position of the allocated heap area in the visualization space is graphically adjusted; and / or, Based on the abnormal state, modify the attributes of the stacking plan group associated with the stacking area or the associated stacking rule parameters. The stacking plan group's attributes include at least one of priority, activation status, and space capacity configuration of the stacking area; the stacking rule parameters include at least one of the following: receiving order, weight range, temperature range, and stacking layer limit.

10. A storage planning system based on spatial visualization, characterized in that, The heaping planning system includes: The yard visualization space construction module is used to construct a visualization space of the yard based on the physical storage space of the yard. The visualization space includes multiple levels of views and supports interactive editing of the views by users. The heaping plan formulation module is used to create at least one heaping plan group in response to user operation in the visualization space, and to delineate at least one heaping area in the view through graphical operation, associate the heaping area with the heaping plan group, and generate a heaping plan. The heaping plan verification module is used to verify the heaping plan based on preset heaping rules. If the verification result indicates that the heaping plan is abnormal, visual feedback is provided on the abnormal state and the corresponding abnormal location in the visualization space. The heaping plan optimization and calibration module is used to calibrate the heaping plan in response to a graphical adjustment operation performed by the user on the visualization space based on the visual feedback.

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