A cell customer marketing interaction method and system based on digital twinning

Abstract

The application discloses a kind of based on digital twin's cell customer marketing interaction method and system, method includes: constructing cell level, building level, room level digital twin three-dimensional model, support hierarchical down drilling;Establish the associated mapping of business data and model;Realize business data hierarchical visualization and interactive response, based on data identification target customer, generate flexible dispatching and track execution.The application realizes the deep integration of business and space, improves marketing efficiency and accuracy, and helps enterprise decision-making scientific and business transformation.

Description

Technical Field

[0001] This invention relates to the field of digital operation technology for smart communities, specifically to a community customer marketing interaction method and system based on digital twins. Background Technology

[0002] With the rapid development of communication technology, gigabit network services have become one of the core key businesses for market expansion. Currently, in order to improve the marketing efficiency and conversion rate of gigabit services, operators have launched a gigabit community marketing view, which aims to provide business support for front-line sales staff and provide managers with data closed-loop evaluation reports to assist in adjusting marketing strategies.

[0003] However, the existing marketing model still has significant shortcomings: On the one hand, frontline area managers and marketing personnel lack a comprehensive and intuitive understanding of the business information of communities, buildings, and rooms, and lack effective spatial visualization tools, resulting in a disconnect between business information and physical space, making it difficult to quickly and accurately locate target customers during the marketing process; on the other hand, existing marketing views are mostly two-dimensional displays, unable to achieve 3D stereoscopic visualization of communities, buildings, and rooms, and the display format of complex business data is monotonous, making it difficult for marketing personnel to quickly understand and use relevant data to optimize recommendation strategies; in addition, customer group identification and marketing order dispatch lack deep integration with spatial scenarios, resulting in insufficient marketing accuracy, making it difficult to meet customers' personalized and refined service needs, affecting the promotion efficiency and conversion rate of gigabit services, and also restricting the scientific nature of enterprise marketing decisions and the process of business transformation.

[0004] Therefore, there is an urgent need for a community customer marketing interaction method and system based on digital twins. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a community customer marketing interaction method and system based on digital twins.

[0006] This invention discloses a community customer marketing interaction method based on digital twins, comprising: Step S1: Construct a digital twin 3D scene model of the target community. The 3D scene model includes at least a hierarchical structure of community-level model, building-level model, and room-level model, and supports drill-down interaction between the various levels of models. Step S2: Establish a mapping between the business data of the target community and the three-dimensional scene model. The business data includes at least the community's basic information, broadband penetration rate, gigabit resource distribution, building resident statistics, room broadband information, and customer tag information. Step S3: Based on the hierarchical structure, implement hierarchical visualization and interactive response of related business data in the corresponding level of the 3D scene model; Step S4: Combine the visualized business data in the three-dimensional scene model to identify and analyze target customers, generate targeted marketing order assignment tasks, and track their execution.

[0007] As a further improvement of the present invention, in step S1, constructing the digital twin three-dimensional scene model of the target cell specifically includes: Step 11: Based on the basic data of the target community's appearance, buildings, and floors, perform 3D modeling to generate a community-level model containing the building distribution framework; Step 12: Based on the community-level model, and using the detailed structural data of the building, perform 3D modeling of the building to generate a building-level model; Step 13: Based on the building-level model, and using the floor plan data within the floor, perform 3D modeling of the rooms to generate the room-level model.

[0008] As a further improvement of the present invention, in step S2, the association mapping specifically includes: binding at least one of broadband penetration rate, customer upgrade path label, smart marketing activity information, and customer label information to the corresponding building-level model or room-level model, and configuring data visualization interaction rules.

[0009] As a further improvement of the present invention, in step S3, hierarchical visualization and interaction are performed based on the associated business data, specifically including: Step 31: From the perspective of the cell-level model, display a service panel that includes basic cell information, broadband penetration rate and gigabit resource distribution, and support interaction and scene roaming with the building-level model; Step 32: In response to the trigger operation on the building-level model, drill down to the corresponding building-level model view, and perform differentiated rendering and display on the associated room-level models according to the selected business data dimensions; Step 33: In response to the trigger operation on the floor or room-level model, drill down to the corresponding room-level model view to display the detailed business information and customized marketing recommendation strategy for that room.

[0010] As a further improvement of the present invention, in step 32, the room model associated with the selected business data is highlighted, specifically as follows: In response to the selection operation of business data in the building-level model, the room models in the building that have completed the corresponding business are highlighted.

[0011] As a further improvement of the present invention, in step 33, displaying detailed room-level business information and equipment visualization graphics includes at least: A schematic diagram showing the effect of broadband cable laying in the room; Display 3D visualization models of the room's low-voltage electrical box and broadband equipment; Display the number of broadband services in the room and specific information tags, including at least customer upgrade path tags, network age tags (online / offline), high-value reinforcement tags, and strategic new tags; The customized marketing recommendation strategy is generated based on the business transaction behavior data of neighbors in the same building.

[0012] As a further improvement of the present invention, step S4 specifically includes: Step S41: At the community or building level, construct customer profiles, analyze customer group characteristics, and conduct scenario statistics based on related business data to identify potential marketing target customer groups. Step S42: Based on the identified customer group characteristics and preset marketing activities, generate marketing order assignment tasks targeting specific communities, buildings, or rooms; Step S43: Track and record the execution status information of the marketing order dispatch task. The execution status information includes order dispatch records, customer contact records, and business conversion result data.

[0013] This invention discloses a community customer marketing interaction system based on digital twins, which is applied to the aforementioned community customer marketing interaction method, including: The 3D scene modeling module is used to construct a digital twin 3D scene model with hierarchical structure at the community level, building level, and room level based on the actual spatial data of the target community, and supports hierarchical drill-down interaction; The business data fusion module is used to acquire business data of the target cell and establish a mapping between the business data and the corresponding hierarchical elements in the 3D scene model. The visualization and interaction module is used to drive the visualization of business data in the corresponding level of the 3D scene model, and respond to user operations to realize scene drill-down and data linkage display. The marketing decision support module is used for the entire process management of customer identification and analysis, marketing strategy generation, and marketing order dispatch based on the integrated model and data.

[0014] As a further improvement of the present invention, the visual interaction module includes: The scene rendering unit is used to dynamically render the visualization effects of 3D scene models and business data associations. The interactive response unit is used to capture the user's hover, click, and drill-down operations, and trigger the corresponding business information display or model state differentiation changes; The information panel unit is used to display business statistics and detailed information panels corresponding to the current view level.

[0015] As a further improvement of the present invention, the marketing decision support module includes: The customer analysis unit is used to extract customer features and build customer profiles based on room-level business data and customer attribute tags, thereby identifying marketing opportunities; The strategy recommendation unit is used to combine customer profiles and neighboring business transaction data to generate personalized product recommendations and marketing campaign suggestions; The task management unit is used for creating, distributing, tracking the execution of marketing tasks, and statistically analyzing conversion data.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention uses digital twin technology to create 3D models of communities, buildings, and rooms, achieving full-level 3D visualization from macro to micro. At the room level, it can also display the spatial distribution of pipelines, equipment, and smart home products. Combined with floating prompts and drill-down operations, it allows marketers to intuitively and immersively browse space and information, significantly reducing the understanding threshold and improving ease of operation.

[0017] This invention maps and associates full-dimensional business data with 3D models, supporting the linked display of data and models. Marketers can simultaneously obtain spatial location and business information without switching tables, integrating business and spatial capabilities to quickly locate high-potential scenarios, simplify marketing paths, and optimize recommendation strategies.

[0018] This invention constructs a hierarchical marketing system, leveraging digital twin technology to gain insights into gigabit resources and customer characteristics. It accurately identifies potential customers through room tags, generates customized solutions by combining neighbor business behaviors, supports multi-dimensional flexible order dispatch and full-process tracking, improves marketing conversion rates, and helps enterprises make scientific marketing decisions and achieve digital transformation. Attached Figure Description

[0019] Figure 1 This is a flowchart of a community customer marketing interaction method based on digital twins, as disclosed in one embodiment of the present invention. Figure 2 This is a schematic diagram of a community-level model and business panel of a community customer marketing interaction method based on digital twins disclosed in one embodiment of the present invention. Figure 3 This is a building-level model and differentiated rendering diagram of a community customer marketing interaction method based on digital twins disclosed in an embodiment of the present invention. Figure 4 This is a schematic diagram of a whole-floor room-level model and tag visualization of a community customer marketing interaction method based on digital twins disclosed in an embodiment of the present invention. Figure 5 This is a single-room-level model and tag visualization diagram of a community customer marketing interaction method based on digital twins disclosed in one embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0022] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0023] The present invention will now be described in further detail with reference to the accompanying drawings: like Figure 1 As shown, a community customer marketing interaction method based on digital twins according to the present invention includes: Step S1: Construct a digital twin 3D scene model of the target community. This digital twin 3D scene model is generated based on geospatial data provided by GIS maps. The 3D scene model includes at least a hierarchical structure of community-level models, building-level models, and room-level models. Hierarchical drill-down interaction is supported between models at each level. In step S1, constructing the digital twin 3D scene model of the target cell specifically includes: Step 11: Based on the basic data of the target community's appearance, buildings, and floors, perform 3D modeling to generate a community-level model containing the building distribution framework (e.g., Figure 2(As shown in the image). This community-level model is also equipped with a day / night switching function and background music options for marketers to choose from. Hovering the mouse over each building in the community-level model will display basic building information. Clicking on any building will allow you to drill down. Marketers can also freely change the viewpoint or roam the community.

[0024] Step 12: Based on the community-level model, and using detailed building structural data, perform 3D modeling of the buildings to generate building-level models (e.g., Figure 3 As shown in the diagram); by moving the mouse between floors in the building-level model, the corresponding floor is highlighted and displayed with basic information such as the number of residents and broadband users.

[0025] Step 13: Based on the building-level model, and using the floor plan data within each floor, perform 3D modeling of the rooms to generate room-level models (e.g., ...). Figure 4 and Figure 5 (As shown).

[0026] Step S2: Establish a mapping between the business data of the target community and the 3D scene model. The business data includes at least the community's basic information, broadband penetration rate, gigabit resource distribution, building resident statistics, room broadband information, and customer tag information. In step S2, the association mapping specifically includes binding at least one of broadband penetration rate, customer upgrade path label, smart marketing activity information, and customer label information to the corresponding building-level model or room-level model, and configuring data visualization interaction rules.

[0027] Step S3: Based on the hierarchical structure, implement hierarchical visualization and interactive response of related business data in the corresponding level of the 3D scene model; In step S3, hierarchical visualization and interaction are performed based on the associated business data, specifically including: Step 31: From the perspective of the community-level model, display a service panel that includes basic community information, broadband penetration rate and gigabit resource distribution, and support association and interaction with the building-level model and scene roaming. Step 32: In response to the trigger operation on the building-level model, drill down to the corresponding building-level model view, and perform differentiated rendering and display on the associated room-level models based on the selected business data dimension. Specifically, highlighting associated room models based on the selected business data means: in response to the selection operation of business data in the building-level model, highlighting the room models in that building that have processed the corresponding business. For example, when clicking on broadband penetration rate, the rooms in the building that are China Telecom broadband will be highlighted.

[0028] Step 33: In response to a trigger operation on the floor or room-level model, drill down to the corresponding room-level model view to display detailed business information and customized marketing recommendation strategies for that room. Specifically, click on any floor in the building to enter the floor level, arrange all rooms on that floor according to different apartment types, and provide floor selection and room switching buttons. Within the full floor view, you can see the labels of different rooms. Click on a room to zoom in and focus on that room, providing a display of the pipeline laying effect for that room. The detailed business information and equipment visualization graphics displayed at the room level include at least: a schematic diagram showing the broadband pipeline laying effect in the room; a 3D visualization model showing the room's weak current box and broadband equipment (including a light illustration of broadband signal and smart home products); and the number of broadband services and specific information tags for the room. These specific information tags include at least customer upgrade path tags, network access / disconnection age tags, high-value reinforcement tags, and strategic new tags, so that marketers can better understand the room's resident business recommendations and business opportunities, and optimize recommendation strategies. The customized marketing recommendation strategy is generated based on the business transaction behavior data of neighbors in the same building.

[0029] Step S4: Combine the visualized business data in the 3D scene model to identify and analyze target customers, generate targeted marketing order assignment tasks, and track their execution.

[0030] Step S4 specifically includes: Step S41: At the community or building level, construct customer profiles, analyze customer group characteristics, and conduct scenario statistics based on related business data to identify potential marketing target customer groups. Step S42: Based on the identified customer group characteristics and preset marketing activities, generate marketing order assignment tasks targeting specific communities, buildings, or rooms; Step S43: Track and record the execution status information of marketing order dispatch tasks. The execution status information includes order dispatch records, customer contact records, and business conversion result data.

[0031] According to the present invention, a community customer marketing interaction system based on digital twins is applied to the aforementioned community customer marketing interaction method, comprising: The 3D scene modeling module is used to construct a digital twin 3D scene model with hierarchical structure at the community level, building level, and room level based on the actual spatial data of the target community, and supports hierarchical drill-down interaction; The business data fusion module is used to acquire business data of the target cell and establish a mapping between the business data and the corresponding hierarchical elements in the 3D scene model. The visualization and interaction module is used to drive the visualization of business data in the corresponding level of the 3D scene model, and respond to user operations to realize scene drill-down and data linkage display. The marketing decision support module is used for the entire process management of customer identification and analysis, marketing strategy generation, and marketing order dispatch based on the integrated model and data.

[0032] In the above embodiments, preferably, the visualization interaction module includes a scene rendering unit, an interaction response unit, and an information panel unit: wherein, the scene rendering unit is used to dynamically render the visualization effect of the three-dimensional scene model and the business data association; the interaction response unit is used to capture the user's hover, click, and drill-down operations, triggering the corresponding business information display or model state differentiation changes; the information panel unit is used to display the business statistics data and detailed information panel corresponding to the current view level.

[0033] In the above embodiments, preferably, the marketing decision support module includes a customer analysis unit, a strategy recommendation unit, and a task management unit: wherein, the customer analysis unit is used to extract customer features and build customer profiles based on room-level business data and customer attribute tags, thereby identifying marketing opportunities; the strategy recommendation unit is used to combine customer profiles and neighboring business transaction data to generate personalized product recommendations and marketing activity suggestions; the task management unit is used for the creation, distribution, execution tracking, and conversion data statistical analysis of marketing order dispatch tasks.

[0034] Advantages of this invention: This invention uses digital twin technology to create 3D models of communities, buildings, and rooms, achieving full-level 3D visualization from macro to micro. At the room level, it can also display the spatial distribution of pipelines, equipment, and smart home products. Combined with floating prompts and drill-down operations, it allows marketers to intuitively and immersively browse space and information, significantly reducing the understanding threshold and improving ease of operation.

[0035] This invention maps and associates full-dimensional business data with 3D models, supporting the linked display of data and models. Marketers can simultaneously obtain spatial location and business information without switching tables, integrating business and spatial capabilities to quickly locate high-potential scenarios, simplify marketing paths, and optimize recommendation strategies.

[0036] This invention constructs a hierarchical marketing system, leveraging digital twin technology to gain insights into gigabit resources and customer characteristics. It accurately identifies potential customers through room tags, generates customized solutions by combining neighbor business behaviors, supports multi-dimensional flexible order dispatch and full-process tracking, improves marketing conversion rates, and helps enterprises make scientific marketing decisions and achieve digital transformation.

[0037] This invention uses digital twin technology to create a digital pilot application community, which highly restores the actual situation of the community and its buildings. It realizes three-dimensional modeling of the pilot community and combines it with GIS map to realize the real-world relationship between grids, communities, buildings, rooms, apartment types, products and other products.

[0038] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A community customer marketing interaction method based on digital twins, characterized in that, include: Step S1: Construct a digital twin 3D scene model of the target community. The 3D scene model includes at least a hierarchical structure of community-level model, building-level model, and room-level model, and supports drill-down interaction between the various levels of models. Step S2: Establish a mapping between the business data of the target community and the three-dimensional scene model. The business data includes at least the community's basic information, broadband penetration rate, gigabit resource distribution, building resident statistics, room broadband information, and customer tag information. Step S3: Based on the hierarchical structure, implement hierarchical visualization and interactive response of related business data in the corresponding level of the 3D scene model; Step S4: Combine the visualized business data in the three-dimensional scene model to identify and analyze target customers, generate targeted marketing order assignment tasks, and track their execution.

2. The community customer marketing interaction method according to claim 1, characterized in that, In step S1, constructing the digital twin 3D scene model of the target cell specifically includes: Step 11: Based on the basic data of the target community's appearance, buildings, and floors, perform 3D modeling to generate a community-level model containing the building distribution framework; Step 12: Based on the community-level model, and using the detailed structural data of the building, perform 3D modeling of the building to generate a building-level model; Step 13: Based on the building-level model, and using the floor plan data within the floor, perform 3D modeling of the rooms to generate the room-level model.

3. The community customer marketing interaction method according to claim 1, characterized in that, In step S2, the association mapping specifically includes binding at least one of broadband penetration rate, customer upgrade path label, smart marketing activity information, and customer label information to the corresponding building-level model or room-level model, and configuring data visualization interaction rules.

4. The community customer marketing interaction method according to claim 1, characterized in that, In step S3, hierarchical visualization and interaction are performed based on the associated business data, specifically including: Step 31: From the perspective of the cell-level model, display a service panel that includes basic cell information, broadband penetration rate and gigabit resource distribution, and support interaction and scene roaming with the building-level model; Step 32: In response to the trigger operation on the building-level model, drill down to the corresponding building-level model view, and perform differentiated rendering and display on the associated room-level models according to the selected business data dimensions; Step 33: In response to the trigger operation on the floor or room-level model, drill down to the corresponding room-level model view to display the detailed business information and customized marketing recommendation strategy for that room.

5. The community customer marketing interaction method according to claim 4, characterized in that, In step 32, the room model associated with the selected business data is highlighted, specifically as follows: In response to the selection operation of business data in the building-level model, the room models in the building that have completed the corresponding business are highlighted.

6. The community customer marketing interaction method according to claim 4, characterized in that, In step 33, detailed room-level business information and equipment visualization graphics are displayed, including at least: A schematic diagram showing the effect of broadband cable laying in the room; Display 3D visualization models of the room's low-voltage electrical box and broadband equipment; Display the number of broadband services in the room and specific information tags, including at least customer upgrade path tags, network age tags (online / offline), high-value reinforcement tags, and strategic new tags; The customized marketing recommendation strategy is generated based on the business transaction behavior data of neighbors in the same building.

7. The community customer marketing interaction method according to claim 1, wherein step S4 specifically includes: Step S41: At the community or building level, construct customer profiles, analyze customer group characteristics, and conduct scenario statistics based on related business data to identify potential marketing target customer groups. Step S42: Based on the identified customer group characteristics and preset marketing activities, generate marketing order assignment tasks targeting specific communities, buildings, or rooms; Step S43: Track and record the execution status information of the marketing order dispatch task. The execution status information includes order dispatch records, customer contact records, and business conversion result data.

8. A community customer marketing interaction system based on digital twins, applied to the community customer marketing interaction method according to any one of claims 1-7, characterized in that, include: The 3D scene modeling module is used to construct a digital twin 3D scene model with hierarchical structure at the community level, building level, and room level based on the actual spatial data of the target community, and supports hierarchical drill-down interaction; The business data fusion module is used to acquire business data of the target cell and establish a mapping between the business data and the corresponding hierarchical elements in the 3D scene model. The visualization and interaction module is used to drive the visualization of business data in the corresponding level of the 3D scene model, and respond to user operations to realize scene drill-down and data linkage display. The marketing decision support module is used for the entire process management of customer identification and analysis, marketing strategy generation, and marketing order dispatch based on the integrated model and data.

9. The community customer marketing interaction system according to claim 8, characterized in that, The visual interaction module includes: The scene rendering unit is used to dynamically render the visualization effects of 3D scene models and business data associations. The interactive response unit is used to capture the user's hover, click, and drill-down operations, and trigger the corresponding business information display or model state differentiation changes; The information panel unit is used to display business statistics and detailed information panels corresponding to the current view level.

10. The community customer marketing interaction system according to claim 8, characterized in that, The marketing decision support module includes: The customer analysis unit is used to extract customer features and build customer profiles based on room-level business data and customer attribute tags, thereby identifying marketing opportunities; The strategy recommendation unit is used to combine customer profiles and neighboring business transaction data to generate personalized product recommendations and marketing campaign suggestions; The task management unit is used for creating, distributing, tracking the execution of marketing tasks, and statistically analyzing conversion data.

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