Smart city resource management method and system based on digitization

Abstract

The invention relates to the technical field of smart city resource management, in particular to a smart city resource management method and system based on digitization. A smart city resource management method based on digitization comprises the following steps: S1, acquiring related data of city virtual IP resources, and acquiring the fitness of the city virtual IP resources by using an adaptation analysis formula according to the related data of the city virtual IP resources; s2, adjusting the city virtual IP resources according to the fitness of the city virtual IP resources; and S3, according to the difference set features of the urban virtual IP resource key features and the urban IP resource key features, adding and repairing the urban IP resources. According to the method, the fitness analysis formula is introduced through intelligent urban virtual IP resource management, the distribution and display mode of the urban virtual IP resources is adjusted by dynamically evaluating the fitness of the urban virtual IP resources, and the utilization efficiency of the urban virtual IP resources is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart city resource management, and particularly to a digital-based smart city resource management method and system. Background Art

[0002] With the rapid development of digital technologies, technologies such as virtual reality (VR), augmented reality (AR), and the metaverse have gradually entered people's daily lives, greatly expanding the ways in which humans interact with the world. In this process, urban resources, especially iconic buildings and cultural heritages, have gradually shifted from physical spaces to virtual spaces to meet the growing digital demands.

[0003] For some urban iconic buildings, such as lighthouses, museums, historical sites, etc., traditional visiting methods are subject to many restrictions. Visitors cannot visit the site in person due to reasons such as time, location, and transportation, and may also have limited visiting experiences due to factors such as the climate, environment, and cultural background of the building's location. In addition, the contradiction between the demand for physical visits and the actual conditions has become increasingly prominent.

[0004] Therefore, converting these physical buildings into virtual spaces, constructing digital urban resources through virtualization technologies, and at the same time, how to manage urban virtual IP resources has become an important development direction for smart cities and digital tourism in recent years. Summary of the Invention

[0005] In order to overcome the drawback of lacking the management of urban virtual IP resources, the present invention provides a digital-based smart city resource management method and system.

[0006] The technical solution is as follows: A digital-based smart city resource management method includes the following steps: S1: Obtain data related to urban virtual IP resources, and use an adaptation analysis formula based on the data related to urban virtual IP resources to obtain the fitness of urban virtual IP resources; S2: Adjust urban virtual IP resources according to the fitness of the urban virtual IP resources; S3: Increase and renovate urban IP resources according to the difference set characteristics between the key characteristics of urban virtual IP resources and the key characteristics of urban IP resources; S4: Virtualize the surrounding urban IP resources according to urban virtual IP resources.

[0007] Preferably, obtaining data related to the urban virtual IP resources and using an adaptation analysis formula based on the data related to the urban virtual IP resources to obtain the fitness of the urban virtual IP resources includes: obtaining data related to the urban virtual IP resources, where the data related to the urban virtual IP resources includes the key features of the urban virtual IP resources and the corresponding key features of the urban IP resources, the degree of completion of the meaning of the urban virtual IP resources, and the benefits of the urban virtual IP resources, and inputting the data related to the urban virtual IP resources into the adaptation analysis formula to obtain the fitness of the urban virtual IP resources.

[0008] Preferably, inputting the data related to the urban virtual IP resources into the adaptation analysis formula to obtain the fitness of the urban virtual IP resources includes: where the adaptation analysis formula is: ; In the formula, is the fitness of the urban virtual IP resources, is the number of intersection features of the key features of the urban virtual IP resources and the corresponding key features of the urban IP resources; represents the number of key features of the urban IP; is the key feature of the urban virtual IP resources; is the key feature of the urban IP resources; is the degree of completion of the meaning of the urban virtual IP resources; is the benefit of the urban virtual IP resources; is the standard preset benefit of the urban virtual IP resources in different periods; is the adjustment factor.

[0009] Preferably, the being the degree of completion of the meaning of the urban virtual IP resources includes: obtaining the relevant usage data of the urban virtual IP resources, inputting the relevant usage data into the calculation formula for the degree of completion of the meaning to obtain the degree of completion of the meaning of the urban virtual IP resources, where the relevant usage data includes the light direction error rate of the urban virtual IP resources at each moment, the degree of completion of the scenery of the urban virtual IP resources at each moment, and the number of story analysis points of the urban virtual IP resources, and where the light direction error rate of the urban virtual IP resources is the difference ratio between the light direction of the urban virtual IP resources and the light direction of the urban IP resources at the corresponding moment; the degree of completion of the scenery of the urban virtual IP resources is the degree of completion of the scenery under the light direction of the virtual IP resources at each moment; the story analysis points of the urban virtual IP resources are the history and popular stories of the urban virtual IP resources.

[0010] Preferably, inputting the relevant usage data into the calculation formula for the degree of completion of the meaning to obtain the degree of completion of the meaning of the urban virtual IP resources includes: where the calculation formula for the degree of completion of the meaning is: ; In the formula, is the completion degree of the meaning of urban virtual IP resources; is the light direction error rate of urban virtual IP resources at the th hour; is the scenery completion degree of urban virtual IP resources at the th hour; is the number of story analysis points of urban virtual IP resources; is the adjustment parameter.

[0011] Preferably, the story analysis points of the urban virtual IP resources are the history and popular stories of the urban virtual IP resources, including: obtaining the real-time story data and historical story data of the urban virtual IP resources, where the real-time story data includes the popularity of the real-time story at the current time and the time interval between the current time and the time when the real-time story occurred. According to the real-time story data, the calorific value is obtained using the calorific value calculation formula. The real-time stories with a calorific value greater than or equal to the first preset threshold are used as popular stories, and the number of historical stories and the number of popular stories are used as the number of story analysis points of the urban virtual IP resources. The calorific value calculation formula is: ; In the formula, is the calorific value; is the popularity of the real-time story at the current time; is the time interval between the current time and the time when the real-time story occurred; is the adjustment coefficient.

[0012] Preferably, adjusting the urban virtual IP resources according to the fitness of the urban virtual IP resources includes: virtualizing the surrounding resources of the urban IP resources when the fitness of the urban virtual IP resources is greater than or equal to the second preset threshold; trimming the urban virtual IP resources when the fitness of the urban virtual IP resources is less than or equal to the third preset threshold and greater than the fourth preset threshold; canceling the urban virtual IP resources when the fitness of the urban virtual IP resources is less than or equal to the fourth preset threshold.

[0013] Preferably, adding and repairing the urban IP resources according to the difference set characteristics between the key characteristics of the urban virtual IP resources and the key characteristics of the urban IP resources includes: obtaining the difference set characteristics between the key characteristics of the urban virtual IP resources and the key characteristics of the urban IP resources, obtaining the praise degrees of each difference characteristic, and adding and repairing the urban IP resources with the difference set characteristics whose praise degrees are greater than the preset praise value.

[0014] Preferably, virtualizing the surrounding urban IP resources according to the urban virtual IP resources includes: taking the urban virtual IP resources with a fitness greater than or equal to a second preset threshold in the city as recommended expansion resources, obtaining the number of recommended expansion resources, performing weighted summation according to the number of recommended expansion resources and the relevant distance data of the surrounding urban IP resources to obtain a recommended value, and virtualizing the urban IP resources with a recommended value greater than a fifth preset threshold. The relevant distance data of the surrounding urban IP resources is the distance between the urban IP resources and the recommended expansion resources.

[0015] Preferably, a digital-based smart city resource management system further includes: A data acquisition module for acquiring data related to urban virtual IP resources, where the data related to urban virtual IP resources includes the key features of urban virtual IP resources and the corresponding key features of urban IP resources, the meaning completion degree of urban virtual IP resources, and the benefits of urban virtual IP resources; A fitness analysis module for evaluating the fitness of urban virtual IP resources using a fitness analysis formula, outputting the fitness result of urban virtual IP resources, and determining a resource adjustment strategy; A resource adjustment module for adjusting urban virtual IP resources according to the fitness of the urban virtual IP resources; A meaning completion degree calculation module for obtaining the relevant usage data of urban virtual IP resources, inputting the relevant usage data into a meaning completion degree calculation formula, and obtaining the meaning completion degree of urban virtual IP resources; A calorific value calculation module for obtaining a calorific value using a calorific value calculation formula according to the real-time story data; A resource virtualization module for virtualizing the surrounding urban IP resources according to the urban virtual IP resources.

[0016] The present invention has the following advantages: 1. By introducing a fitness analysis formula and dynamically evaluating the fitness of urban virtual IP resources, the present invention can dynamically adjust the allocation and display methods of virtual resources according to factors such as the restoration situation of virtual buildings, meaning completion degree, and resource benefits. This intelligent resource management improves the utilization efficiency of virtual IP resources; 2. By introducing a meaning completion degree calculation formula and calculating the meaning restoration degree of urban virtual IP resources, the present invention ensures that virtual buildings can restore the important meaning content of real buildings. In particular, the important meaning content of virtual buildings affected by shadows caused by light changes in real buildings can be completely expressed; 3. The present invention introduces the story analysis points of urban virtual IP resources and obtains the calorific value degree by using the calorific value degree calculation formula, so as to reasonably display historical stories and popular stories, increase the attractiveness of virtual buildings, and ensure the fluency and security of data processing. 4. The present invention virtualizes urban IP resources to attract more tourists to visit according to the quantity of urban virtual IP resources in the city and the relevant distance data of IP resources in surrounding cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flowchart of a method for managing smart city resources based on digitization according to the present invention; Figure 2 is a schematic diagram of the system module for managing smart city resources based on digitization according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Embodiment 1: A method for managing smart city resources based on digitization, as Figure 1 shown, includes the following steps: S1: Obtain the relevant data of urban virtual IP resources, and use the adaptation analysis formula according to the relevant data of urban virtual IP resources to obtain the fitness of urban virtual IP resources; Obtain the relevant data of urban virtual IP resources. The relevant data of urban virtual IP resources includes the key features of urban virtual IP resources and the corresponding key features of urban IP resources, the meaning completion degree of urban virtual IP resources, and the benefits of urban virtual IP resources. Input the relevant data of urban virtual IP resources into the adaptation analysis formula to obtain the fitness of urban virtual IP resources.

[0020] It should be noted that the urban virtual IP resources are virtual buildings obtained by collecting 3D scans and image recognition technologies of buildings; the urban IP resources refer to the real-world urban resources related to the virtual buildings; the key features of the urban IP resources reflect the core attributes of the urban virtual IP resources, such as the geometric shape, material, appearance design, and location distribution features of the virtual buildings; the corresponding key features of the urban IP resources are the features of the real-world urban resources related to the virtual buildings; the meaning completion degree refers to the degree of the actual restoration of the real building meaning in the urban virtual IP resources, reflecting the restoration accuracy in the virtualization process. For example, if the shadow of a local high tower is like a sundial under the change of sunlight, then this virtualization restoration accuracy is one of the meaning completion degrees; the revenue of the urban virtual IP resources reflects the economic value or user experience value of the urban virtual IP resources and can be evaluated based on indicators such as the access volume of the virtual building, the stay time of visitors, and the user participation degree.

[0021] The adaptation analysis formula is as follows: ; In the formula, is the fitness of the urban virtual IP resources, is the number of intersection features of the key features of the urban virtual IP resources and the corresponding key features of the urban IP resources; is the number representing the key features of the urban IP; is the key feature of the urban virtual IP resources; is the key feature of the urban IP resources; is the meaning completion degree of the urban virtual IP resources; is the revenue of the urban virtual IP resources; is the standard preset revenue of the urban virtual IP resources in different periods; is the adjustment factor.

[0022] It should be noted that is the fitness of the urban virtual IP resources. The higher the fitness, the more the urban virtual IP resources meet the urban planning requirements and can provide better experience and value for users; is the number of intersection features of the key features of the urban virtual IP resources and the corresponding key features of the urban IP resources. When is the number of intersection features of the key features of the urban virtual IP resources and the corresponding key features of the urban IP resources. The number of intersection features reflects the restoration degree of the virtual building; is the meaning completion degree of the urban virtual IP resources, indicating whether the virtual building can completely express the cultural meaning and functional characteristics of the physical building; is the revenue of the urban virtual IP resources, which is evaluated based on indicators such as the access volume of the virtual building, the stay time of visitors, and the user participation degree. It is the standard preset income of urban virtual IP resources in different periods and is used to measure the economic benefits of virtual resources.

[0023] Obtain the relevant usage data of urban virtual IP resources, input the relevant usage data into the meaning completion calculation formula, and obtain the meaning completion degree of urban virtual IP resources. The relevant usage data includes the light direction error rate of urban virtual IP resources at each moment, the scenery completion degree of urban virtual IP resources at each moment, and the number of story analysis points of urban virtual IP resources. Among them, the light direction error rate of urban virtual IP resources is the difference ratio between the light direction of urban virtual IP resources and the light direction of urban IP resources at the corresponding moment; the scenery completion degree of urban virtual IP resources is the scenery completion degree under the light direction of virtual IP resources at each moment; the story analysis points of urban virtual IP resources are the history and popular stories of urban virtual IP resources.

[0024] It should be noted that the light direction error rate of urban virtual IP resources at each moment is the difference ratio between the light direction of urban virtual IP resources and the corresponding urban IP resources. The performance of urban virtual IP resources not only needs to accurately restore the appearance of physical buildings but also show their dynamic changes under different lighting conditions. Therefore, the light direction error rate is crucial for the realism of urban virtual IP resources; the scenery completion degree of urban virtual IP resources is used to measure the matching degree between the visual aesthetics shown by virtual resources in different time periods and the on-site landscape, such as whether the shadow has special meaning and the performance of virtual buildings under different lighting; for the story analysis points of urban virtual IP resources, each virtual building or virtual resource carries certain historical culture or background stories. Through the analysis and presentation of these stories, the attractiveness and educational significance of virtual buildings are enhanced. When the number of story analysis points is larger, the meaning completion degree of the urban virtual IP resources is higher, and the adaptability is also higher.

[0025] The meaning completion calculation formula is as follows: ; In the formula, is the meaning completion degree of urban virtual IP resources; is the light direction error rate of urban virtual IP resources at the th hour; is the scenery completion degree of urban virtual IP resources at the th hour; is the number of story analysis points of urban virtual IP resources; is the adjustment parameter.

[0026] It should be noted that It is the completion degree of the meaning of the urban virtual IP resource, which is used to measure whether the virtual building accurately restores the meaning and value of the real building; For the scenery completion degree of the urban virtual IP resource in the th hour, which measures the scenery completion degree of the virtual building within each hour; It is the number of story analysis points of the urban virtual IP resource, which is used to measure the attractiveness of the virtual building.

[0027] Obtain the real-time story data and historical story data of the urban virtual IP resource. The real-time story data includes the popularity of the real-time story at the current time and the interval time between the current time and the occurrence time of the real-time story. According to the real-time story data, use the heat value calculation formula to obtain the heat value. Take the real-time story with the heat value greater than or equal to the first preset threshold as a popular story, and use the number of historical stories and the number of popular stories as the number of story analysis points of the urban virtual IP resource. The heat value calculation formula is as follows: ; In the formula, is the heat value; is the popularity of the real-time story at the current time; is the interval time between the current time and the occurrence time of the real-time story; is the adjustment coefficient.

[0028] It should be noted that the popularity of the real-time story at the current time reflects the popularity or attention of the current story, which is usually measured by social media interactions (such as the number of likes, comments, and shares), user participation, or other real-time indicators; the interval time between the current time and the occurrence time of the real-time story represents the gap between the current time and the occurrence time of the real-time story, which is usually calculated in hours. The longer the interval time, the gradually weakened attention of the event; by calculating the heat value of each real-time story, the real-time story with the heat value greater than or equal to the first preset threshold is determined as a popular story, and such stories are updated rapidly as time goes on; historical stories are stories of historical sites, cultural events, or important figures, which are crucial for visitors to understand the city's culture and history. Therefore, the number of historical stories does not change in this embodiment; the popular stories are continuously updated and iteratively displayed according to the heat value of the popular stories.

[0029] S2: Adjust the urban virtual IP resource according to the fitness of the urban virtual IP resource; When the fitness of the urban virtual IP resource is greater than or equal to the second preset threshold, virtualize the surrounding resources of the urban IP resource; when the fitness of the urban virtual IP resource is less than or equal to the third preset threshold and greater than the fourth preset threshold, trim the urban virtual IP resource; when the fitness of the urban virtual IP resource is less than or equal to the fourth preset threshold, cancel the urban virtual IP resource.

[0030] It should be noted that the order of the thresholds is that the second preset threshold is greater than the third preset threshold which is greater than the fourth preset threshold; when the fitness of the urban virtual IP resource is greater than or equal to the second preset threshold, virtualize the surrounding resources of the urban IP resource, drive the virtualization of the surrounding urban IP resources through the urban virtual IP resource, increase the popularity of the surrounding area and drive the development; when the fitness of the urban virtual IP resource is less than or equal to the third preset threshold and greater than the fourth preset threshold, trim the urban virtual IP resource, deeply restore the key features of the urban virtual IP resource, reduce the light direction error rate, increase the scenery completion degree and increase the number of story analysis points; when the fitness of the urban virtual IP resource is less than or equal to the fourth preset threshold, cancel the urban virtual IP resource.

[0031] S3: According to the difference set features between the key features of the urban virtual IP resource and the key features of the urban IP resource, increase and repair the urban IP resource; Obtain the difference set features between the key features of the urban virtual IP resource and the key features of the urban IP resource, obtain the praise degrees of each difference feature, and increase and repair the urban IP resource with the difference set features whose praise degrees are greater than the preset praise value.

[0032] It should be noted that the key feature of the urban virtual IP resource is a virtual building, and unique key features different from real buildings can be added during the restoration and creation, such as adding special characters or decorations. Obtain these difference set features and the praise degrees of the personnel for the difference set features. When the praise degree is greater than the preset praise value, add them to the real building (i.e., the urban IP resource) for improvement to increase the popularity of the real building.

[0033] S4: Virtualize the surrounding urban IP resources according to the urban virtual IP resource.

[0034] Take the urban virtual IP resources in the city whose fitness is greater than or equal to the second preset threshold as recommended expansion resources, obtain the number of recommended expansion resources, perform weighted summation according to the number of recommended expansion resources and the relevant distance data of the surrounding urban IP resources to obtain a recommended value, and virtualize the urban IP resources whose recommended value is greater than the fifth preset threshold. The relevant distance data of the surrounding urban IP resources is the distance between the urban IP resource and the recommended expansion resource.

[0035] It should be noted that after obtaining the number of recommended extended resources, a recommendation value is obtained by weighted summation based on the number of extended resources and the relevant distance data of the IP resources in surrounding cities. The priority of virtualized recommendation is adjusted according to the recommendation value, and the IP resources of cities with a recommendation value greater than the fifth preset threshold are virtualized, expanding the scope of urban virtual IP resources and increasing the interactivity of tourists' participation and the depth of virtual experience.

[0036] Embodiment 2: On the basis of Embodiment 1, a digital-based smart city resource management system, as Figure 2 shown, further includes: A data acquisition module for acquiring data related to urban virtual IP resources, where the data related to urban virtual IP resources includes the key features of urban virtual IP resources and the corresponding key features of urban IP resources, the meaning completion degree of urban virtual IP resources, and the benefits of urban virtual IP resources; A fitness analysis module for evaluating the fitness of urban virtual IP resources using a fitness analysis formula, outputting the fitness result of urban virtual IP resources, and determining a resource adjustment strategy; A resource adjustment module for adjusting urban virtual IP resources according to the fitness of the urban virtual IP resources; A meaning completion degree calculation module for obtaining the relevant usage data of urban virtual IP resources and inputting the relevant usage data into a meaning completion degree calculation formula to obtain the meaning completion degree of urban virtual IP resources; A calorific value calculation module for obtaining a calorific value using a calorific value calculation formula according to the real-time story data; A resource virtualization module for virtualizing the surrounding urban IP resources according to urban virtual IP resources.

[0037] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A digital-based smart city resource management method, characterized in that: The following steps are involved: S1: obtaining data related to city virtual IP resources, and using an adaptation analysis formula according to the data related to the city virtual IP resources to obtain the fitness of the city virtual IP resources; S2: adjusting the city virtual IP resources according to the adaptability of the city virtual IP resources; S3: Add and repair city IP resources according to the difference characteristics between the key characteristics of the city virtual IP resources and the key characteristics of the city IP resources; S4: Virtualize surrounding city IP resources based on the city virtual IP resources.

2. A digital-based smart city resource management method as claimed in claim 1, characterized in that: The method of obtaining relevant data on city virtual IP resources and using an adaptation analysis formula based on the relevant data on city virtual IP resources to obtain the fitness of city virtual IP resources includes: obtaining relevant data on city virtual IP resources, wherein the relevant data on city virtual IP resources include key features of city virtual IP resources and corresponding key features of city IP resources, the degree of completion of the meaning of city virtual IP resources and the benefits of city virtual IP resources, and inputting the relevant data on city virtual IP resources into the adaptation analysis formula to obtain the fitness of city virtual IP resources.

3. A digital-based smart city resource management method as claimed in claim 2, characterized in that: The step of inputting the city virtual IP resource related data into an adaptation analysis formula to obtain the adaptability of the city virtual IP resource comprises: wherein the adaptation analysis formula is: ； In the formula, is the adaptability of the city's virtual IP resources, The number of intersection features of the key features of the city virtual IP resources and the key features of the corresponding city IP resources; To represent the number of key features of city IP; It is the key feature of the city's virtual IP resources; It is the key feature of the city’s IP resources; The meaning completion degree of the city's virtual IP resources; Profits from the city’s virtual IP resources; Standard preset benefits for different periods of time for city virtual IP resources; is the adjustment factor.

4. A digital-based smart city resource management method as claimed in claim 3, characterized in that: Said The meaning completion of the city virtual IP resources includes: obtaining relevant usage data of the city virtual IP resources, inputting the relevant usage data into the meaning completion calculation formula to obtain the meaning completion of the city virtual IP resources, the relevant usage data includes the light direction error rate of the city virtual IP resources at each moment, the scenery completion of the city virtual IP resources at each moment and the number of story analysis points of the city virtual IP resources, wherein the light direction error rate of the city virtual IP resources is the difference ratio between the light direction of the city virtual IP resources at the corresponding moment and the light direction of the city IP resources; the scenery completion of the city virtual IP resources is the scenery completion under the light direction of the virtual IP resources at each moment; the story analysis points of the city virtual IP resources are the history and popular stories of the city virtual IP resources.

5. A digital-based smart city resource management method as claimed in claim 4, characterized in that: The inputting the relevant usage data into the meaning completion calculation formula to obtain the meaning completion of the city virtual IP resource includes: wherein the meaning completion calculation formula is: ； In the formula, The meaning completion degree of the city's virtual IP resources; For the The light direction error rate of the city virtual IP resources in one hour; For the The scene completion of the city’s virtual IP resources in one hour; The number of story analysis points for the city's virtual IP resources; To adjust the parameters.

6. A digital-based smart city resource management method as claimed in claim 5, characterized in that: The story analysis points of the city virtual IP resource are the history and hot stories of the city virtual IP resource, including: obtaining real-time story data and historical story data of the city virtual IP resource, the real-time story data including the heat of the real-time story at the current time and the interval between the current time and the time when the real-time story occurs, obtaining the heat value by using the heat value calculation formula according to the real-time story data, taking the real-time story with a heat value greater than or equal to a first preset threshold as the hot story, and taking the number of the historical stories and the number of the hot stories as the number of story analysis points of the city virtual IP resource, wherein the heat value calculation formula is: ； In the formula, is the calorific value; The popularity of real-time stories at the current time; It is the interval between the current time and the time when the real-time story occurs; is the adjustment factor.

7. A digital-based smart city resource management method as claimed in claim 1, characterized in that: The adjusting of the city virtual IP resources according to the fitness of the city virtual IP resources includes: virtualizing the surrounding resources of the city IP resources when the fitness of the city virtual IP resources is greater than or equal to the second preset threshold; trimming the city virtual IP resources when the fitness of the city virtual IP resources is less than or equal to the third preset threshold and greater than the fourth preset threshold; and canceling the city virtual IP resources when the fitness of the city virtual IP resources is less than or equal to the fourth preset threshold.

8. A digital-based smart city resource management method as claimed in claim 1, characterized in that: The method of adding and repairing the city IP resources according to the difference characteristics between the key characteristics of the city virtual IP resources and the key characteristics of the city IP resources includes: obtaining the difference characteristics between the key characteristics of the city virtual IP resources and the key characteristics of the city IP resources, and obtaining the praise degree of each difference characteristic, and adding and repairing the city IP resources with the difference characteristics whose praise degree is greater than the preset praise value.

9. A digital-based smart city resource management method as claimed in claim 1, characterized in that: The method of virtualizing the surrounding city IP resources based on the city virtual IP resources includes: taking the city virtual IP resources in the city whose fitness is greater than or equal to a second preset threshold as recommended extension resources, obtaining the number of recommended extension resources, obtaining a recommended value by weighted summation based on the number of recommended extension resources and relevant distance data of surrounding city IP resources, and virtualizing the city IP resources whose recommended value is greater than a fifth preset threshold, wherein the relevant distance data of the surrounding city IP resources is the distance between the city IP resources and the recommended extension resources.

10. A digital-based smart city resource management system, a digital-based smart city resource management method as claimed in any one of claims 1 to 9, characterized in that: Also includes: A data acquisition module, used to acquire city virtual IP resource related data, wherein the city virtual IP resource related data includes key features of city virtual IP resources and corresponding key features of city IP resources, meaning completion of city virtual IP resources and benefits of city virtual IP resources; The fitness analysis module is used to evaluate the fitness of the city virtual IP resources using the fitness analysis formula, output the fitness results of the city virtual IP resources, and determine the resource adjustment strategy; A resource adjustment module, which adjusts the city virtual IP resources according to the adaptability of the city virtual IP resources; A meaning completion calculation module is used to obtain relevant usage data of the city virtual IP resources, input the relevant usage data into the meaning completion calculation formula, and obtain the meaning completion of the city virtual IP resources; A calorific value calculation module, used to obtain a calorific value using a calorific value calculation formula according to the real-time story data; The resource virtualization module is used to virtualize the surrounding city IP resources according to the city virtual IP resources.

Images