CN117150631A - Digital twinning-based city infrastructure construction simulation method and system - Google Patents
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Abstract
The invention discloses a digital twinning-based city infrastructure construction simulation method and a digital twinning-based city infrastructure construction simulation system. According to the invention, the layout position and trend of each infrastructure of the city are obtained according to the city planning design information, then each influence factor data of the city planning is processed, each influence factor data is additionally rendered in a digital twin model of the city planning, the future trend of the city planning design visualization is obtained, the city planning design and management department can better understand the future operation of the city infrastructure, so that a precondition reference basis is provided for the renovation of the city planning design, and a more intelligent decision is made, so that the city infrastructure design planning can be more fit with the city planning reality. The method effectively solves the defect that the future trend of the urban infrastructure cannot be well displayed in the data visualization mode in the prior art.
Description
Technical Field
The invention relates to the technical field of urban infrastructure design, in particular to a digital twinning-based urban infrastructure construction simulation method and system.
Background
Urban infrastructure refers to the physical structure and equipment that supports the normal operation of the city, provides basic services, and ensures the quality of life of the urban residents. These infrastructures are key components of urban life, including various traffic facilities, various facilities for resident life, and other types of infrastructure equipment that enable cities to function properly. The quality and reliability of urban infrastructure is critical to urban economy, society and environmental sustainability. Urban managers and government agencies are responsible for planning, building, operating, and maintaining these infrastructures to meet the ever-increasing urban population and demands.
The construction design of the urban infrastructure is a complex project, multiple departments are required to cooperate with each other and the data of each department is integrated across departments, but due to huge construction data volume of the urban infrastructure, the future trend of the urban infrastructure cannot be shown in a good data visualization way, so that decision making of a decision layer for the urban infrastructure is difficult.
Disclosure of Invention
The invention aims to solve the defect that the future trend of an urban infrastructure cannot be well displayed in a data visualization mode in the prior art, and provides a digital twinning-based urban infrastructure construction simulation method and system.
In order to achieve the above purpose, the present invention implements the following technical scheme:
the first aspect of the invention provides a digital twinning-based city infrastructure construction
A simulation method comprising:
basic design information of a target planning city is obtained, and influence information of the target planning city is determined;
obtaining a digital model body of the target planning city according to the basic design information of the target planning city;
performing region category division on basic design information of a target planning city to obtain at least one city basic region category information;
dividing a digital model body of the target planning city according to the category information of at least one city base area to obtain a plurality of digital model area bodies of the target planning city;
according to the influence information of the target planning city, combining with the city basic region category information, carrying out influence factor addition on a plurality of digital model region bodies of the target planning city, and respectively obtaining a plurality of digital model region body influence parameter data information;
according to the influence parameter data information of the plurality of digital model regional bodies, determining the influence parameter data information of the digital model bodies of the target planning city;
and determining future trend condition information of the target planning city according to the influence parameter data information of the digital model body of the target planning city.
In a possible embodiment, the method for determining the influence parameter data information of the digital model body of the target planning city includes:
according to the obtained basic design information of the target planning city, respectively determining the region category information of a plurality of digital model region bodies in the target planning city;
integrating the influence information of each digital model regional body according to regional category information of a plurality of digital model regional bodies in the target planning city to respectively obtain influence information sets of the plurality of digital model regional bodies in the target planning city;
according to the influence information set of a plurality of digital model regional bodies in the target planning city, and combining the past influence information data quantity of the city, respectively obtaining the influence information data quantity information of each digital model regional body;
integrating the influence information data quantity information of each digital model regional body, and determining the influence parameter data information of the digital model body of the target planning city;
and according to the influence parameter data information of the digital model body of the target planning city, a digital model body change rendering diagram of the target planning city is manufactured.
In a possible embodiment, the method for making a digital model volume change rendering map of a target planning city includes:
according to the obtained basic design information of the target planning city, determining the number of a plurality of digital model regional bodies in the target planning city, and obtaining the influence information data quantity information of each digital model regional body in the target planning city;
integrating the influence information data quantity information of each digital model regional body in the target planning city to obtain the influence parameter data quantity in the digital model body of the target planning city;
acquiring the influence parameter data quantity in the digital model bodies of at least two different time period target planning cities, and carrying out hierarchical division according to the influence parameter data quantity in the digital model bodies of the at least two different time period target planning cities to acquire the digital model body trend change data information of the at least two different degree target planning cities;
according to the trend change data information of the digital model bodies of the target planning cities of different degrees, and combining the digital model bodies of the target planning cities, making at least two model rendering data information of different degrees;
and writing model rendering data information with different degrees into the digital model body of the target planning city, and rendering the digital model body of the target planning city to obtain future trend condition information of the digital model body of the target planning city.
In a possible embodiment, the impact information of the target planning city includes:
one or more of environmental impact factors, time of day impact factors, and regional body population density impact factors for each digital model.
In a possible embodiment, the method for respectively obtaining the influence information data quantity information of each digital model region body includes:
according to basic design information of the target planning city, obtaining the type of the environment where the target planning city is located, and obtaining the environmental impact factor data of the target planning city by combining the past impact information data;
according to basic design information of the target planning city, population quantity trend of the target planning city is obtained, and population density influence factor data of the target planning city is determined by combining past influence information data;
and respectively determining the data quantity information of each digital model regional body influence information in the target planning city according to the data quantity of the environmental influence factors of the target planning city and the data quantity of the population density influence factors of the target planning city and the data quantity of the past input time influence factors.
In a possible embodiment, the method for determining the influence parameter data information of the digital model body of the target planning city includes:
setting that n digital model area bodies exist in the target planning city, and then influencing parameter data quantity of the digital model bodies of the target planning cityThe method comprises the following steps:
1 (1)
In the formula (1) of the present invention,the data quantity of influencing parameters of the ith digital model area body in the target planning city,/->For planning the integration factor of the digital model of the city for the target +.>The method comprises the following steps:
2, 2
In the formula (2) of the present invention,planning city and past influence information data volume proportioning value for target and +.>Matching numerical values of population density influencing factors for planning cities and past influencing information data quantity for targets and +.>The method comprises the steps of planning a time input influence factor ratio value of a city and the past influence information data quantity for a target;
in the formulae 1 and 2,。
in a possible embodiment, the model rendering data information includes:
and manufacturing different color rendering factors according to different influence parameter data information on the digital model body of the target planning city and/or the digital model region body of each target planning city.
A second aspect of the present invention provides a digital twinning-based urban infrastructure construction simulation system implementing a digital twinning-based urban infrastructure construction simulation method as set forth in any one of the first aspects.
In a possible embodiment, the simulation system comprises:
the model construction module is used for constructing a digital model body of the target planning city;
the data processing module is used for carrying out data processing on the influence information of the target planning city;
the influence factor adding module is used for adding influence factors to the digital model body of the target planning city and/or the digital model area body of the target planning city;
and the data tracing module is used for recording the digital model regional body of the target planning city and/or the influence factors of the digital model regional body of the target planning city.
In a possible embodiment, the influencing factor addition module includes:
the influence data adding unit is used for additionally displaying the influence parameter data information of the target planning city;
and the model rendering unit is used for performing model rendering on the digital model body of the target planning city and/or the digital model region body of the target planning city.
The beneficial effects of the invention are as follows:
according to the embodiment of the invention, the layout position and trend of each infrastructure of the city are obtained according to the city planning design information, then each influence factor data of the city planning is processed, each influence factor data is additionally rendered in a digital twin model of the city planning, the future trend of the city planning design visualization is obtained, the city planning design and management department can better understand the future operation of the city infrastructure, so that a precondition reference basis is provided for the city planning design renovation, a more intelligent decision is made, the city infrastructure design planning can be more fit with the city planning reality, the reality requirement is met, and the sustainability and the life quality of the city are improved. The method effectively solves the defect that the future trend of the urban infrastructure cannot be well displayed in the data visualization mode in the prior art.
Drawings
FIG. 1 is a schematic overall flow diagram of an urban infrastructure building simulation method based on digital twinning provided in an embodiment of the invention;
FIG. 2 is a schematic diagram of a first portion of a digital twinning-based city infrastructure building simulation method provided in an embodiment of the present invention;
fig. 3 is a schematic diagram of a second part of a digital twinning-based city infrastructure building simulation method according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present invention are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly.
In the present invention, unless specifically stated and limited otherwise, the terms "connected," "affixed," and the like are to be construed broadly, and for example, "affixed" may be a fixed connection, a removable connection, or an integral body; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the meaning of "and/or" as it appears throughout includes three parallel schemes, for example "A and/or B", including the A scheme, or the B scheme, or the scheme where A and B are satisfied simultaneously. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Examples
Referring to fig. 1 to 3, in this embodiment, in order to solve the disadvantage that in the prior art, future trends of urban infrastructure cannot be well represented by data visualization, the first aspect of the present invention provides a digital twinned-based urban infrastructure construction simulation method, which obtains layout positions and trends of various infrastructures of a city according to urban planning design information, and then processes various influence factor data of the city planning, and additionally renders the various influence factor data in a digital twinned model of the city planning, so as to obtain the future trends of the urban planning design visualization, so that a city planning design and management department can better understand future operations of the urban infrastructure, and a precondition reference basis is provided for the urban planning design and management department to make a more intelligent decision so as to enable the urban infrastructure design planning to be more fit with urban planning reality, meet reality requirements, and improve urban sustainability and life quality. The method effectively solves the defect that the future trend of the urban infrastructure cannot be well displayed in the data visualization mode in the prior art.
Specifically, the simulation method comprises the following steps:
the basic design condition of the target planning city can be determined in a wired or wireless mode, so that the basic design information of the target planning city is acquired, and corresponding data processing and analysis can be conveniently carried out according to the condition of the target planning city in the later period. The basic design information of the target planning city comprises: the method comprises the following steps of a series of basic design information about a target city, such as the overall planning area of the target city, the geographic coordinates of the target city, the population trend distribution condition of the target city, the economic zone of the target city and the like. The influence information of the target planning city is determined according to the basic design information of the target city. According to the overall planning surface and the design trend in the target planning city, corresponding design software (such as 3Dmax, solidWorks software or three-dimensional simulation software and the like) can be adopted to construct BIM (building information model) of the target planning city, so as to obtain the digital model of the target planning city. And then, dividing each region in the target planning city according to region types (such as living residential areas, industrial production areas and the like) to obtain at least one city base region type information so as to divide each region of the target planning city. And carrying out clear division on each region of the digital model body of the target planning city according to the category information of at least one city base region so as to obtain a plurality of digital model region bodies in the digital model body of the target planning city. And then, according to the influence information of the target planning city, carrying out influence factor addition on a plurality of digital model regional bodies of the target planning city respectively to obtain a plurality of digital model regional body influence parameter data information, namely, respectively and definitely dividing the future trend of different types of regions in the target planning city, so that the analysis of the influence parameter data information of the digital model bodies of the target planning city is more practical, and the follow-up analysis result is ensured to be more practical. In this embodiment, in order to enable the future trend of the target planning city to be visualized, data integration may be performed according to the influence parameter data information of the plurality of digital model area bodies in the target planning city, and then the influence parameter data information of the digital model bodies of the target planning city may be determined. And then determining the future trend condition information of the target planning city according to the influence parameter data information of the digital model body of the target planning city. The method comprises the steps of processing various influence factor data of urban planning, additionally rendering the various influence factor data in a digital twin model of urban planning, obtaining the future trend of urban planning design visualization, enabling urban planning design and management departments to better understand the future operation of urban infrastructure, providing precondition reference basis for urban planning design renovation, making a more intelligent decision, enabling urban infrastructure design planning to be more fit with urban planning reality, meeting reality requirements, and improving urban sustainability and life quality. The method effectively solves the defect that the future trend of the urban infrastructure cannot be well displayed in the data visualization mode in the prior art.
In this embodiment, in order to facilitate understanding of how the influence parameter data information of the digital model body of the target planned city is determined, the following description is made here. Specifically, the method for determining the influence parameter data information of the digital model body of the target planning city comprises the following steps:
according to the obtained basic design information of the target planning city, respectively determining the region category information of a plurality of digital model region bodies in the target planning city; the method comprises the steps of defining each region type in a target planning city according to basic design information of the target planning city, determining and integrating affected information of each digital model region in the target planning city according to each region type, respectively obtaining an affected information set of a plurality of digital model region in the target planning city, and defining the affected information data quantity information of each digital model region in the target planning city by utilizing a wired or wireless mode to the condition of the affected information of the existing city in the same scale as the target planning city according to the affected information set of the plurality of digital model region in the target planning city. It should be noted that, if no past history reference exists, the manual adjustment can be performed according to the affected information condition of the closest existing city planning. And then carrying out data integration on the influence information data quantity information of each digital model regional body in the target planning city, and determining the influence parameter data information of the digital model body of the current target planning city. And then, according to the influence parameter data information of the digital model body of the target planning city, the digital model body in the target planning city is subjected to overall future trend rendering so as to manufacture a digital model body change rendering diagram of the target planning city, obtain the visual future trend of the city planning design, realize that the city planning design and management department can better understand the future operation of the city infrastructure, provide a precondition reference basis for the renovation of the city planning design, make a more intelligent decision so as to realize that the city infrastructure design planning can be more fit with the city planning reality and meet the reality requirement.
In this embodiment, in order to facilitate understanding how to perform future trend rendering to different extents according to influence parameter data information of a digital model body of a target planning city, the following description is provided herein. Specifically, the method for making the digital model body change rendering map of the target planning city comprises the following steps:
according to the obtained basic design information of the target planning city, determining the number of a plurality of digital model regional bodies in the target planning city, and obtaining the influence information data quantity information of each digital model regional body in the target planning city; the method comprises the steps of determining the types and the quantity of all areas in a target planning city in advance, integrating the influence information data quantity information of all digital model area bodies in the target planning city by combining all indexes of the influence information data quantity of all areas in the target planning city, and enabling the influence parameter data quantity in the digital model bodies in the target planning city.
And determining and acquiring the influence parameter data quantity in the digital model bodies of the target planning cities in at least two different time periods according to the mode, and carrying out hierarchical division according to the influence parameter data quantity in the digital model bodies of the target planning cities in at least two different time periods to obtain the digital model body trend change data information of the target planning cities in at least two different degrees.
According to the trend change data information of the digital model bodies of the target planning cities of different degrees, and combining the digital model bodies of the target planning cities, making at least two model rendering data information of different degrees;
and writing model rendering data information with different degrees into the digital model body of the target planning city, and rendering the digital model body of the target planning city to obtain future trend condition information of the digital model body of the target planning city. In this embodiment, to further describe how such a manner is implemented, it is preferable that the states of different time periods of the target planning city can be specified as follows: the aging rate of the target planning city (which may be defined as a new city for convenience of description later) is a, and the aging rate of the target planning city (which may be defined as an old city for convenience of description later) after being put into use for a period of time is b, because the target planning city states of the two periods of time are influenced by influencing factors (such as environmental influencing factors, input time influencing factors, population density influencing factors of each digital model regional body, and the like), wherein the aging rate b of the old city is definitely larger than the aging rate a of the new city, and the target planning city states of the two periods of time can be divided according to the aging rate a of the new city and the aging rate b of the old city, and the target planning city states of the two periods of time can be rendered according to different colors and color brightness levels, so as to obtain a rendering chart of the target planning city states of the two periods of time. That is, in one embodiment, the model rendering data information includes: and manufacturing different color rendering factors according to different influence parameter data information on the digital model body of the target planning city and/or the digital model region body of each target planning city. In addition, in this embodiment, the impact information of the target planning city includes: one or more of environmental impact factors, time of day impact factors, and regional body population density impact factors for each digital model.
In this embodiment, in order to facilitate understanding of how the affected information data amount of each digital regional body in the target planning city is clarified, the following description is made. Specifically, the method for respectively obtaining the influence information data amount information of each digital model regional body comprises the following steps:
according to basic design information of the target planning city, obtaining the type of the environment where the target planning city is located, and obtaining the environmental impact factor data of the target planning city by combining the past impact information data; the type of the environment where the target planning city is located can be determined according to the basic design information of the target planning city, and the environmental impact factor data quantity of the target planning city in the current environment is obtained according to the affected condition of the existing city in the same environment. The future trend is determined according to whether the target planning city is in a special environment climate or not.
According to basic design information of the target planning city, population quantity trend of the target planning city is obtained, and population density influence factor data of the target planning city is determined by combining past influence information data; the supported population of the target planning city can be defined according to the basic design information of the target planning city, and then the influence factor data of the target planning city on each building group in the target planning city under different population numbers is obtained according to the affected condition of the same type of existing city.
According to the environment influence factor data quantity of the target planning city and the population density influence factor data quantity of the target planning city, and by combining the past input time influence factor data quantity, the influence information data quantity information of each digital model regional body in the target planning city is respectively determined, namely, the states of the target planning city in different time periods are definitely determined according to the receiving population quantity of each region in the target planning city and different environments, so that the future trend of the target planning city is more scientific, a precondition reference basis can be provided for renovating the city planning design, a more intelligent decision is made, the city infrastructure design planning can be more fit with the city planning reality, the reality requirement is met, and the sustainability and the life quality of the city are improved. The method effectively solves the defect that the future trend of the urban infrastructure cannot be well displayed in the data visualization mode in the prior art.
Specifically, in order to facilitate understanding how the data amount of each influencing factor in the target planning city is obtained according to the past history of the same type of city, the method for determining the influencing parameter data information of the digital model of the target planning city includes:
setting that n digital model area bodies exist in the target planning city, and then influencing parameter data quantity of the digital model bodies of the target planning cityThe method comprises the following steps:
1 (1)
In the formula (1) of the present invention,the data quantity of influencing parameters of the ith digital model area body in the target planning city,/->For the integration coefficient of the digital model body of the target planning city, namely, the influence parameter data quantity of the digital model body of the target planning city is obtained by carrying out data integration on the influence parameter data quantity in each area of the target planning city, wherein ∈>And determining future trend condition data of the target planning city according to the influence parameter data quantity of each region in the target planning city.
Specifically, the influence parameter data volume of the ith digital model regional body in the target planning cityThe method comprises the following steps:
2, 2
In the formula (2) of the present invention,planning city and past influence information data volume proportioning value for target and +.>Matching numerical values of population density influencing factors for planning cities and past influencing information data quantity for targets and +.>Time investment influence factor ratio value for planning city and past influence information data quantity for target, wherein +.>. Namely, the proportion of the environmental influence factors of the target planning city can be divided into +.>The method comprises the steps of carrying out a first treatment on the surface of the The population influencing factors of the target planning city can be according to the past population number of the same type city>(the population number of the same type of cities as the target planning city is ten thousand people) and the ratio coefficient of the urban influence factors>Make explicit, i.e. at +.>Is expressed as: population number of target planned city->The number of past population in the same city>The ratio of the duty cycle to the current, and then the ratio coefficient of the influence factors of tens of thousands of people to the city is compared with the ratio coefficient of the influence factors of the tens of thousands of people to the city in the same type of city>Phase calculation can obtain the data value +.A.of the factors influenced by the number of every ten thousands of population in the current target planning city>. I.e. < ->The method comprises the following steps: in the past population number of the same type cityThe urban aging degree proportioning coefficient is +.>By finding the orderThe number of people's mouths in the target planning city +.>The number of past population of the same type city>The ratio of the two factors can be used for solving the data volume of the target planning city affected by the environment. Then planning city according to the target to be in the current time zone +.>The same type of city investment time (in ten years) with the target planning city>Ratio of (in ten years)>To determine the coefficient ratio +.A. Of the existing cities of the same type as the target planned city, which is affected by the time factor of investment>. I.e. < ->The method comprises the following steps: time input in the same type of city as the target planning city +.>In the case of (2), the urban aging degree ratio coefficient is +.>By finding the target planned city +.>Input time of same type city->The ratio of the two factors can be used for solving the data volume of the target planning city affected by the environment.
At the bookIn an embodiment, the environment-affected situation in the target planning city is obtained by solvingAnd data values of +.f-in the target planning city for factors affected by the number of demographics per million>And the data quantity of the affected parameters of the target planning city is clarified by combining the input use time of the target city so as to determine the future trend condition of the target planning city.
A second aspect of the present invention provides a digital twinning-based urban infrastructure construction simulation system implementing a digital twinning-based urban infrastructure construction simulation method as set forth in any one of the first aspects. Specifically, the simulation system includes: the system comprises a model construction module, a data processing module and an influence factor addition module, wherein the model construction module is used for constructing a digital model body of a target planning city; the data processing module is used for carrying out data processing on the influence information of the target planning city; the influence factor adding module is used for adding influence factors to the digital model body of the target planning city and/or the digital model area body of the target planning city; in this embodiment, in order to facilitate data recording and tracing of a target planning city, a judgment basis is provided for the trend of various city infrastructures in the future, and the simulation system further includes: and the data tracing module is used for recording the digital model regional body of the target planning city and/or the influence factors of the digital model regional body of the target planning city. According to the method, the model construction module is used for constructing the digital twin model of the target planning city according to the city planning design information, the data processing module and the influence factor additional module are used for processing all influence factor data of the city planning, all influence factor data are additionally rendered in the digital twin model of the city planning, the future trend of the city planning design visualization is obtained, the city planning design and management department can better understand the future operation of the city infrastructure, the premise reference basis is provided for the improvement of the city planning design, a more intelligent decision is made, the city infrastructure design planning can be more fit with the city planning reality, the reality requirement is met, and the sustainability and the life quality of the city are improved. The method effectively solves the defect that the future trend of the urban infrastructure cannot be well displayed in the data visualization mode in the prior art.
In this embodiment, the influence factor adding module includes: the influence data adding unit is used for additionally displaying the influence parameter data information of the target planning city; and the model rendering unit is used for performing model rendering on the digital model body of the target planning city and/or the digital model region body of the target planning city.
In some embodiments, the analog system may communicate using any currently known or future developed network protocol, such as HTTP (Hyper Text Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
A third aspect of the invention provides a computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements a digital twinned based urban infrastructure construction simulation method according to any of the first aspects. The computer readable medium in this embodiment may write computer program code for performing the operations of some embodiments of the present disclosure in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.
Claims (10)
1. A city infrastructure construction simulation method based on digital twin is characterized in that
The method comprises the following steps:
basic design information of a target planning city is obtained, and influence information of the target planning city is determined;
obtaining a digital model body of the target planning city according to the basic design information of the target planning city;
performing region category division on basic design information of a target planning city to obtain at least one city basic region category information;
dividing a digital model body of the target planning city according to the category information of at least one city base area to obtain a plurality of digital model area bodies of the target planning city;
according to the influence information of the target planning city, combining with the city basic region category information, carrying out influence factor addition on a plurality of digital model region bodies of the target planning city, and respectively obtaining a plurality of digital model region body influence parameter data information;
according to the influence parameter data information of the plurality of digital model regional bodies, determining the influence parameter data information of the digital model bodies of the target planning city;
and determining future trend condition information of the target planning city according to the influence parameter data information of the digital model body of the target planning city.
2. The method for modeling urban infrastructure construction based on digital twinning according to claim 1, wherein the method for determining the influence parameter data information of the digital model body of the target planned city comprises:
according to the obtained basic design information of the target planning city, respectively determining the region category information of a plurality of digital model region bodies in the target planning city;
integrating the influence information of each digital model regional body according to regional category information of a plurality of digital model regional bodies in the target planning city to respectively obtain influence information sets of the plurality of digital model regional bodies in the target planning city;
according to the influence information set of a plurality of digital model regional bodies in the target planning city, and combining the past influence information data quantity of the city, respectively obtaining the influence information data quantity information of each digital model regional body;
integrating the influence information data quantity information of each digital model regional body, and determining the influence parameter data information of the digital model body of the target planning city;
and according to the influence parameter data information of the digital model body of the target planning city, a digital model body change rendering diagram of the target planning city is manufactured.
3. The digital twinning-based city infrastructure building simulation method of claim 2, wherein the method of making a digital model volume change rendering map of the target planning city comprises:
according to the obtained basic design information of the target planning city, determining the number of a plurality of digital model regional bodies in the target planning city, and obtaining the influence information data quantity information of each digital model regional body in the target planning city;
integrating the influence information data quantity information of each digital model regional body in the target planning city to obtain the influence parameter data quantity in the digital model body of the target planning city;
acquiring the influence parameter data quantity in the digital model bodies of at least two different time period target planning cities, and carrying out hierarchical division according to the influence parameter data quantity in the digital model bodies of the at least two different time period target planning cities to acquire the digital model body trend change data information of the at least two different degree target planning cities;
according to the trend change data information of the digital model bodies of the target planning cities of different degrees, and combining the digital model bodies of the target planning cities, making at least two model rendering data information of different degrees;
and writing model rendering data information with different degrees into the digital model body of the target planning city, and rendering the digital model body of the target planning city to obtain future trend condition information of the digital model body of the target planning city.
4. A digital twinning-based city infrastructure building simulation method in accordance with claim 3, wherein the impact information of the target planning city comprises:
one or more of environmental impact factors, time of day impact factors, and regional body population density impact factors for each digital model.
5. The method for modeling urban infrastructure construction based on digital twinning according to claim 4, wherein the method for obtaining each digital model area body influence information data amount information respectively comprises:
according to basic design information of the target planning city, obtaining the type of the environment where the target planning city is located, and obtaining the environmental impact factor data of the target planning city by combining the past impact information data;
according to basic design information of the target planning city, population quantity trend of the target planning city is obtained, and population density influence factor data of the target planning city is determined by combining past influence information data;
and respectively determining the data quantity information of each digital model regional body influence information in the target planning city according to the data quantity of the environmental influence factors of the target planning city and the data quantity of the population density influence factors of the target planning city and the data quantity of the past input time influence factors.
6. A digital twinning-based city infrastructure building simulation method according to claim 5, wherein the method of determining the influence parameter data information of the digital model of the target planning city comprises:
setting that n digital model area bodies exist in the target planning city, and then influencing parameter data quantity of the digital model bodies of the target planning cityThe method comprises the following steps:
1 (1)
In the formula (1) of the present invention,the data quantity of influencing parameters of the ith digital model area body in the target planning city,/->For planning the integration factor of the digital model of the city for the target +.>The method comprises the following steps:
2, 2
In the formula (2) of the present invention,planning cities and both for targetsThe data volume proportion value of the information is influenced, and the data volume proportion value is->Matching numerical values of population density influencing factors for planning cities and past influencing information data quantity for targets and +.>The method comprises the steps of planning a time input influence factor ratio value of a city and the past influence information data quantity for a target;
in the formulae 1 and 2,。
7. a digital twinning-based city infrastructure building simulation method according to any of claims 3 to 6, wherein the model rendering data information comprises:
and manufacturing different color rendering factors according to different influence parameter data information on the digital model body of the target planning city and/or the digital model region body of each target planning city.
8. A digital twinning based city infrastructure building simulation system, characterized by implementing a digital twinning based city infrastructure building simulation method according to any of the claims 1 to 7.
9. A digital twinned based city infrastructure building simulation system in accordance with claim 8, wherein the simulation system comprises:
the model construction module is used for constructing a digital model body of the target planning city;
the data processing module is used for carrying out data processing on the influence information of the target planning city;
the influence factor adding module is used for adding influence factors to the digital model body of the target planning city and/or the digital model area body of the target planning city;
and the data tracing module is used for recording the digital model regional body of the target planning city and/or the influence factors of the digital model regional body of the target planning city.
10. The digital twinning-based city infrastructure building simulation system of claim 9, wherein the influencing factor addition module comprises:
the influence data adding unit is used for additionally displaying the influence parameter data information of the target planning city;
and the model rendering unit is used for performing model rendering on the digital model body of the target planning city and/or the digital model region body of the target planning city.
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