A method and system for collaborative compilation and real-time display of integrated urban-industrial planning throughout the entire process.

Abstract

This invention provides a method and system for collaborative planning and real-time display of the entire process of industry-city integration planning. Through intelligent preliminary surveys and database construction, it integrates needs and facilitates online collaborative work, enabling scientific planning decisions, generating plans, and displaying results and reports in real time. This achieves the digitalization, intelligentization, and collaboration of the entire industry-city integration planning process, improving the efficiency and quality of planning and providing scientific decision-making support for industry-city integration development. The invention's space-based access control method ensures data security and collaborative efficiency, guaranteeing that all parties fully participate in the planning process within their authorized scope. Deep learning and association rule mining algorithms optimize the intelligent generation capability and predictive analysis accuracy of planning schemes, improving the scientific nature and accuracy of planning decisions through assisted generation and comparison of planning schemes. Collaborative drawings enable online annotation and collaborative design by multiple parties on a unified database, enhancing the efficiency and collaboration of planning work.

Description

Technical Field

[0001] This invention belongs to the field of urban planning technology, specifically relating to a method and system for collaborative compilation and real-time display of integrated urban-industrial planning throughout the entire process. Background Technology

[0002] With the continuous advancement of urbanization, integrated industry-city planning, as a new urban development model, is of great significance for promoting sustainable urban development and enhancing urban competitiveness. Integrated industry-city planning refers to the organic integration of industrial development and urban construction, achieving coordinated development of industry, city, and population, thereby forming a virtuous cycle of complementary and mutually reinforcing industrial and urban functions. However, traditional integrated industry-city planning processes suffer from numerous problems that urgently need to be addressed through digital technologies.

[0003] Currently, the planning for the integration of industry and city mainly relies on traditional planning methods, and existing optimization technologies also have the following shortcomings: 1. The traditional process of planning for the integration of industry and city is severely fragmented, with poor coordination between different stages, making it difficult to efficiently implement the planning results; 2. Existing digital tools only provide solutions for a specific stage, failing to connect the entire planning process and creating new "data silos" and "process breakpoints"; 3. Existing systems have shortcomings in scene visualization and management, and lack the ability to effectively integrate and collaboratively analyze multi-source heterogeneous data; 4. Poor coordination between planning and engineering design, resulting in ineffective cooperation and optimization between the two stages, affects the overall efficiency and quality of the integrated urban-industrial planning; 5. The lack of a unified multi-source data platform and a scientific planning, design and evaluation system makes it impossible to effectively integrate and share data resources, affecting the scientific nature and accuracy of planning decisions. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and system for collaborative compilation and real-time display of the entire process of industry-city integration planning, which is used for the digitalization, intelligentization and collaboration of the entire process of industry-city integration planning.

[0005] The technical solution adopted by this invention to solve the above-mentioned technical problems is as follows: a method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning, comprising the following steps: S1: Automated access, cleaning, standardization, and spatialization of multi-source heterogeneous data, and construction of an integrated urban-industrial geographic database; S2: Design of multi-role permission management, task workflow collaboration, and online collaboration based on space-based authorization; S3: Perform static and dynamic data fusion analysis, and use planning analysis models to assist in generating and comparing solutions; S4: Real-time updates and multi-dimensional display of planning results, and provides results export and dynamic demonstration functions.

[0006] According to the above scheme, the specific steps in step S1 are as follows: S11: Automated access and collection of multi-source heterogeneous data through the platform's data middleware; S12: Utilizes the built-in data cleaning and processing module to automatically clean, standardize, and spatialize the data; S13: The processed data will be merged to form a unified, lightweight industry-city integrated geographic database, which will serve as the sole data source for all subsequent work.

[0007] Furthermore, in step S11, the multi-source heterogeneous data includes publicly available Internet data, data from various government departments, IoT sensor data, and on-site survey data. In step S12, the Python pandas library is used for data cleaning, and Geopandas and Fiona are used for spatial data standardization and spatialization. In step S13, the integrated urban-industrial geographic database includes interconnected land parcel tables, building tables, enterprise tables, and facility tables to ensure data integrity and relevance, providing comprehensive data support for subsequent planning work.

[0008] According to the above scheme, the specific steps in step S2 are as follows: S21: Define exclusive accounts for different roles on the platform and assign geofence-based spatial permissions; S22: Supports online task publishing, progress tracking, meeting management, collaborative document editing, and version control; S23: The "Collaborative Drawings" function enables online annotation and collaborative design by multiple parties on a unified database, greatly improving the efficiency and collaboration of planning work.

[0009] Furthermore, in step S21, the different roles include government management, planning consultants, and corporate community participants; Geofencing is used to implement access control, allowing different roles to view and operate spatial data and business modules only within their authorized scope.

[0010] According to the above scheme, the specific steps in step S3 are as follows: S31: Activate the "static + dynamic" data fusion analysis module to perform fusion analysis of static and dynamic data within the platform; S32: Utilizes multiple built-in planning analysis models to transform non-mathematical planning rules and regulations into computable algorithmic conditions, assisting in the generation and comparison of planning schemes; S33: Further optimize the intelligent generation capability and predictive analysis accuracy of planning schemes through deep learning and association rule mining algorithms, thereby assisting in the generation and comparison of planning schemes and improving the scientific nature and accuracy of planning decisions.

[0011] Furthermore, in step S31, static data includes approved design schemes for the land parcel, mandatory requirements such as regulations and higher-level plans; dynamic data includes enterprise operation data, population flow data, and the current land use construction completion rate. In step S32, the planning analysis model includes a land use efficiency assessment model, a facility accessibility model, and an industrial layout optimization model.

[0012] According to the above scheme, the specific steps in step S4 are as follows: S41: During the planning analysis and scheme preparation process, the intermediate and final results are automatically and in real time updated in the platform's display module; S42: Supports multi-dimensional visualization and provides one-click export and dynamic demonstration of results.

[0013] Furthermore, in step S41, real-time update means that after the planner modifies the scheme or the data analysis model is completed, the 3D scene model and data dashboard in the platform's display module are automatically and synchronously updated. In step S42, the multi-dimensional visualization forms include two-dimensional maps, three-dimensional models, data charts, and interactive reports; the one-click export function of results is based on a standard template to export a draft planning report containing drawings, tables, and analysis conclusions, which greatly improves the efficiency and quality of results presentation and reporting.

[0014] A collaborative planning and real-time display system for the entire process of integrated urban-industrial development. The data acquisition and processing submodule is used for automated access, cleaning, standardization, and spatialization of multi-source heterogeneous data, and to build an integrated urban-industrial geographic database. The Collaborative Work and Management submodule is used for multi-role permission management based on space-based authorization, task workflow collaboration, and online collaborative design. The data analysis and decision support submodule is used to perform static and dynamic data fusion analysis and to assist in the generation and comparison of solutions through planning analysis models. The Results Visualization and Display submodule is used to update and display planning results in real time and from multiple dimensions, and provides results export and dynamic demonstration functions.

[0015] The beneficial effects of this invention are as follows: 1. The present invention provides a method and system for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning. Through intelligent preliminary investigation and database construction, it integrates needs and conducts online collaborative work, scientifically plans and makes decisions, generates schemes, and displays and reports results in real time. This realizes the digitalization, intelligentization, and collaboration of the entire process of integrated urban-industrial planning, improves the efficiency and quality of planning, and provides scientific decision support for the integrated development of urban and industrial sectors.

[0016] 2. The space-based access control method of this invention ensures data security and collaboration efficiency, while guaranteeing that each participant can fully participate in the planning process within their respective access permissions.

[0017] 3. This invention optimizes the intelligent generation capability and predictive analysis accuracy of planning schemes through deep learning and association rule mining algorithms, thereby assisting in the generation and comparison of planning schemes and improving the scientific nature and accuracy of planning decisions.

[0018] 4. This invention enables multiple parties to annotate and collaborate on a unified database online through collaborative drawing functionality, greatly improving the efficiency and collaboration of planning work.

[0019] 5. This invention solves the technical problems of the traditional industry-city integration planning process, such as severe fragmentation, poor coordination between stages, failure of existing digital tools to connect the entire planning process, insufficient scene visualization and management capabilities, poor coordination between planning and engineering design, and lack of a unified multi-source data platform. It improves the efficiency and replicability of planning, increases participation and communication efficiency, enhances the scientific nature and accuracy of planning decisions, and achieves technical effects such as multi-dimensional visualization and one-click export of results.

[0020] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of an embodiment of the present invention.

[0023] Figure 2 This is a flowchart illustrating an embodiment of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0025] Example 1 See Figure 1 The specific steps of a method for collaborative compilation and real-time display of integrated urban-industrial planning throughout the entire process are as follows: S1: Intelligent preliminary investigation and database construction; S11: Automated access and collection of multi-source heterogeneous data through the platform's data middleware; Multi-source heterogeneous data includes publicly available internet data, data from various government departments, IoT sensor data, and on-site survey data.

[0026] S12: Utilizes the built-in data cleaning and processing module to automatically clean, standardize, and spatialize the data; Data cleaning was performed using the Python pandas library, and spatial data standardization and spatialization were performed using Geopandas and Fiona. S13: The processed data will be merged to form a unified, lightweight industry-city integrated geographic database, which will serve as the sole data source for all subsequent work; The integrated urban-industrial geodatabase includes interconnected tables of land parcels, buildings, enterprises, and facilities, ensuring data integrity and relevance, and providing comprehensive data support for subsequent planning work.

[0027] S2: Integration requirements, online collaborative work; S21: Define exclusive accounts for different roles on the platform and assign geofence-based spatial permissions; Different roles include government administrators, planning consultants, and corporate and community participants; Geofencing is used to implement access control, allowing different roles to view and operate spatial data and business modules only within their authorized scope. This space-based access control approach ensures data security and collaboration efficiency, while also guaranteeing that all participants can fully participate in the planning process within their respective authorized scopes. S22: Supports online task publishing, progress tracking, meeting management, collaborative document editing, and version control; S23: The "Collaborative Drawings" function enables online annotation and collaborative design by multiple parties on a unified database, greatly improving the efficiency and collaboration of planning work.

[0028] S3: Scientific planning and decision-making, generating solutions; S31: Activate the "static + dynamic" data fusion analysis module to perform fusion analysis of static and dynamic data within the platform; Static data includes approved design plans for the land parcel, mandatory requirements such as regulations and higher-level planning; Dynamic data includes enterprise operation data, population flow data, and the completion rate of current land use construction; S32: Utilizes multiple built-in planning analysis models to transform non-mathematical planning rules and regulations into computable algorithmic conditions, assisting in the generation and comparison of planning schemes; The planning analysis models include land use efficiency assessment models, facility accessibility models, and industrial layout optimization models; S33: Further optimize the intelligent generation capability and predictive analysis accuracy of planning schemes through deep learning and association rule mining algorithms, thereby assisting in the generation and comparison of planning schemes and improving the scientific nature and accuracy of planning decisions.

[0029] S4: Real-time display of results and reporting outcomes; S41: During the planning analysis and scheme preparation process, the intermediate and final results are automatically and in real time updated in the platform's display module; Real-time updates refer to the automatic synchronization and updating of the 3D scene model and data dashboard in the platform's display module after the planner modifies the plan or the data analysis model is completed. S42: Supports multi-dimensional visualization and provides one-click export and dynamic demonstration of results.

[0030] Multi-dimensional visualization formats include two-dimensional maps, three-dimensional models, data charts, and interactive reports; The one-click export function can export a draft planning report containing drawings, tables and analysis conclusions based on a standard template, which greatly improves the efficiency and quality of results presentation and reporting.

[0031] This embodiment achieves digitalization, intelligence, and collaboration throughout the entire process of industry-city integration planning by intelligently conducting preliminary surveys and building a database, integrating needs and collaborating online, making scientific planning decisions, generating solutions, and displaying and reporting results in real time.

[0032] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0033] Example 2 This embodiment is used to implement the principles of the above method embodiments to construct a collaborative compilation and real-time display system for the entire process of integrated urban-industrial planning, including a data acquisition and processing module, a collaborative work and management module, a data analysis and decision support module, and a results visualization and display module; The data acquisition and processing module is used for automated access, cleaning, standardization, and spatialization of multi-source heterogeneous data, and to build an integrated urban-industrial geographic database. The collaborative work and management module is used to implement multi-role permission management based on space-based authorization, task workflow collaboration, and online collaborative design. The data analysis and decision support module is used to perform "static + dynamic" data fusion analysis and run planning analysis models to assist in the generation and comparison of solutions; The results visualization and display module is used to update and display planning results in real time and from multiple dimensions, and provides results export and dynamic demonstration functions.

[0034] These four modules form a complete closed-loop workflow, with data collection, processing, analysis, and presentation seamlessly integrated, ensuring efficient collaboration and scientific decision-making in the planning of integrated industry and city development. Through this approach, the planning team can better integrate resources and needs from all parties, improve planning efficiency and quality, and achieve scientific planning and sustainable development of integrated industry and city development.

[0035] Example 3 The principle of this embodiment is the same as that of Embodiment 2, the difference being that each module is applied to a specific instance. Specifically, it includes: adopting a cloud service-based B / S architecture, including a data layer, a platform service layer, and an application layer; the data layer is used to store and manage multi-source data; the platform service layer encapsulates a data fusion engine, a collaborative work engine, a planning and analysis model library, and visualization service components; the application layer provides an interactive interface to different users through a web browser.

[0036] At the data layer, this layer is responsible for storing and managing multi-source data. The data layer is the foundation of the system, containing various data resources required for integrated urban-industrial planning. This data includes, but is not limited to, geospatial data, industry data, urban construction data, population data, economic data, and other heterogeneous data from multiple sources. The data layer uses distributed database technology for storage, ensuring data security, reliability, and efficient access. The data layer also implements version management and historical record tracking, facilitating planners to view data change history and conduct backtracking analysis.

[0037] The platform service layer encapsulates four core components: a data fusion engine, a collaborative work engine, a planning and analysis model library, and a visualization service component. The data fusion engine processes data from different sources, standardizes heterogeneous data, and establishes relationships between data, providing a unified data view for upper-layer applications. This engine supports both real-time data stream processing and batch data processing modes, and can handle structured, semi-structured, and unstructured data. The collaborative work engine provides a role-based access control mechanism, supporting simultaneous online collaboration by multiple users, including task assignment, progress tracking, and feedback functions. The planning and analysis model library integrates various planning and analysis algorithms and models, such as spatial analysis models, industrial layout optimization models, and traffic flow prediction models, providing a scientific basis for planning decisions. The visualization service component transforms planning data and analysis results into intuitive visualizations such as graphs, charts, and maps, supporting two-dimensional and three-dimensional visualizations and providing an interactive interface.

[0038] The application layer provides interactive interfaces to different users through a web browser. This layer is the part of the system that directly interacts with users, offering customized functional interfaces based on different user roles (such as planners, government administrators, business representatives, and the public). Planners can use professional tools for planning design and analysis; government administrators can view planning progress and approve planning schemes; business representatives can learn about industrial layout and policy information; and the public can participate in collecting planning opinions and view planning results through a simplified interface. The application layer adopts a responsive design, adapting to different terminal devices, including desktop computers, tablets, and mobile devices, ensuring a good user experience on any device. The application layer also provides multilingual support and personalized settings to meet the needs of different users.

[0039] In terms of system architecture, the B / S architecture provides excellent scalability and maintainability. Users can access system functions simply through a browser, without needing to install dedicated client software. The system backend adopts a microservice architecture, with each functional module deployed independently and communicating via APIs, facilitating system upgrades and expansions. The cloud service model enables the system to have elastic computing capabilities, automatically adjusting resource allocation based on user traffic and computing demands to ensure system performance and availability.

[0040] Through this three-tier architecture design, the system realizes the digitalization, intelligentization, and collaboration of the entire process of industry-city integration planning, effectively supporting the complete planning process from preliminary research, scheme design, scheme evaluation to results presentation, and improving the efficiency of planning work and the quality of planning results.

[0041] The methods and systems described above have enabled the digitalization, intelligentization, and collaboration of the entire process of industry-city integration planning. This has facilitated collaborative compilation and real-time display of the entire process, improving the efficiency and quality of planning, enhancing the visualization and interactivity of planning outcomes, and promoting multi-party participation and collaborative decision-making. It provides scientific decision support for the development of industry-city integration.

[0042] It should be noted that, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.

[0043] This embodiment also includes a processor, a communication interface, a memory, and a communication bus; wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory stores a computer program, and when the program is executed by the processor, the processor performs the steps of a method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning.

[0044] This embodiment also provides a computer-readable storage medium storing executable instructions, which, when executed by a processor, enable the processor to implement a method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning.

[0045] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects.

[0046] Furthermore, this application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0047] This application is described with reference to the flowchart of the method and computer program product according to Embodiment 1 and the block diagram of the device (system) according to Embodiment 3. It should be understood that each step or block in the flowchart or block diagram, as well as combinations of steps or blocks in the flowchart or block diagram, can be implemented by computer program instructions.

[0048] These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions, which are executable by the processor of the computer or other programmable data processing device, produce instructions for implementing the process. Figure 1 One or more processes or boxes Figure 1 A collaborative compilation and real-time display system for the entire process of integrated urban-industrial planning, which specifies functions within one or more boxes.

[0049] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes or boxes Figure 1 The function specified in one or more boxes.

[0050] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes or boxes Figure 1 The steps of a method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning, specified in one or more boxes.

[0051] The above embodiments are only used to illustrate the design concept and features of the present invention, and their purpose is to enable those skilled in the art to understand the content of the present invention and implement it accordingly. The protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications made based on the principles and design ideas disclosed in the present invention are within the protection scope of the present invention.

Claims

1. A method for collaborative compilation and real-time display of integrated urban-industrial planning throughout the entire process, characterized in that: Includes the following steps: S1: Automated access, cleaning, standardization, and spatialization of multi-source heterogeneous data, and construction of an integrated urban-industrial geographic database; S2: Design of multi-role permission management, task workflow collaboration, and online collaboration based on space-based authorization; S3: Perform static and dynamic data fusion analysis, and use planning analysis models to assist in generating and comparing solutions; S4: Real-time updates and multi-dimensional display of planning results, and provides results export and dynamic demonstration functions.

2. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 1, characterized in that: The specific steps in step S1 are as follows: S11: Automated access and collection of multi-source heterogeneous data through the platform's data middleware; S12: Utilizes the built-in data cleaning and processing module to automatically clean, standardize, and spatialize the data; S13: The processed data will be merged to form a unified, lightweight industry-city integrated geographic database, which will serve as the sole data source for all subsequent work.

3. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 2, characterized in that: In step S11, the multi-source heterogeneous data includes publicly available Internet data, data from various government departments, IoT sensor data, and on-site survey data. In step S12, the Python pandas library is used for data cleaning, and Geopandas and Fiona are used for spatial data standardization and spatialization. In step S13, the integrated urban-industrial geographic database includes interconnected land parcel tables, building tables, enterprise tables, and facility tables to ensure data integrity and relevance, providing complete data support for subsequent planning work.

4. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 1, characterized in that: The specific steps in step S2 are as follows: S21: Define exclusive accounts for different roles on the platform and assign geofence-based spatial permissions; S22: Supports online task publishing, progress tracking, meeting management, collaborative document editing, and version control; S23: The "Collaborative Drawings" function enables online annotation and collaborative design by multiple parties on a unified database, greatly improving the efficiency and collaboration of planning work.

5. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 4, characterized in that: In step S21, the different roles include government management, planning consultants, and corporate community participants; Geofencing is used to implement access control, allowing different roles to view and operate spatial data and business modules only within their authorized scope.

6. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 1, characterized in that: The specific steps in step S3 are as follows: S31: Activate the "static + dynamic" data fusion analysis module to perform fusion analysis of static and dynamic data within the platform; S32: Utilizes multiple built-in planning analysis models to transform non-mathematical planning rules and regulations into computable algorithmic conditions, assisting in the generation and comparison of planning schemes; S33: Further optimize the intelligent generation capability and predictive analysis accuracy of planning schemes through deep learning and association rule mining algorithms, thereby assisting in the generation and comparison of planning schemes and improving the scientific nature and accuracy of planning decisions.

7. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 6, characterized in that: In step S31, static data includes approved design schemes for the land parcel, mandatory requirements such as regulations and higher-level plans; dynamic data includes enterprise operation data, population flow data, and the current land use construction completion rate. In step S32, the planning analysis model includes a land use efficiency assessment model, a facility accessibility model, and an industrial layout optimization model.

8. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 1, characterized in that: The specific steps in step S4 are as follows: S41: During the planning analysis and scheme preparation process, the intermediate and final results are automatically and in real time updated in the platform's display module; S42: Supports multi-dimensional visualization and provides one-click export and dynamic demonstration of results.

9. The method for collaborative compilation and real-time display of the entire process of integrated urban-industrial planning according to claim 8, characterized in that: In step S41, real-time update means that after the planner modifies the plan or the data analysis model is completed, the 3D scene model and data dashboard in the platform's display module are automatically updated synchronously. In step S42, the multi-dimensional visualization forms include two-dimensional maps, three-dimensional models, data charts, and interactive reports; the one-click export function of results is based on a standard template to export a draft planning report containing drawings, tables, and analysis conclusions, which greatly improves the efficiency and quality of results presentation and reporting.

10. A collaborative compilation and real-time display system for the entire process of integrated urban-industrial planning, characterized in that: The data acquisition and processing submodule is used for automated access, cleaning, standardization, and spatialization of multi-source heterogeneous data, and to build an integrated urban-industrial geographic database. The Collaborative Work and Management submodule is used for multi-role permission management based on space-based authorization, task workflow collaboration, and online collaborative design. The data analysis and decision support submodule is used to perform static and dynamic data fusion analysis and to assist in the generation and comparison of solutions through planning analysis models. The Results Visualization and Display submodule is used to update and display planning results in real time and from multiple dimensions, and provides results export and dynamic demonstration functions.

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