CN115439618A - Intelligent park information model system - Google Patents
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Abstract
The invention discloses an intelligent park information model system which comprises a multi-granular state space-time mapping module, a ubiquitous sensing fusion module, a park business component module and a full-connected park twin module, wherein the multi-granular state space-time mapping module is used for carrying out digital mapping on the geography and space forms of a park and establishing a park basic cognitive model; the ubiquitous sensing fusion module is used for uniformly processing ubiquitous Internet of things sensing data and establishing a park contact cognitive model; the park service component module is used for processing various service scenes of the park and establishing a park practice cognitive model; and the full-connected park twin module is used for carrying out atomic level cellular management on the park space-time scene, the perception system and the business ecology by depending on the park basic cognition model, the park contact cognition model and the park practice cognition model. The full ecological digital twinning of the atomic physical level, the molecular chemical level and the cell biology level of the garden is realized.
Description
Technical Field
The invention relates to the technical field of intelligent park construction, in particular to an intelligent park information model system, which provides a customized data abstract depiction of complex dynamic and static information of a park.
Background
The intelligent park building aims to utilize modern information technologies such as big data, cloud computing, artificial intelligence and geographic information to intelligently enable big data of government affair management, public service and enterprise operation activities of the park so as to comprehensively improve the operating efficiency and quality of park businesses. At present, the intelligent park construction focuses on the informationized and intelligent transformation of park infrastructure, and the digital upgrading is carried out on various business systems, flow management and control systems and public service systems of the park.
However, because a set of standard, standard and universal theoretical model support is lacked in the information integration process of the smart park construction, the smart park construction generally has the following problems: the method comprises the steps of firstly, repeatedly acquiring and establishing a database of the same, similar and similar data with the problems of repeated construction and investment, repeatedly developing the same and similar service system, repeatedly transmitting and storing a large amount of redundant data and the like; secondly, the data management cost is high, due to the diversity characteristics of the park business, the support of a high-abstraction information model is lacked, a perfect intelligent park data system is difficult to construct, and a large amount of accuracy, integrity, consistency and normative quality management work needs to be carried out on the data in practical application; and thirdly, the full-connection cognition of the park is insufficient, the basic cognition (space cognition), the contact cognition (perception cognition) and the practice cognition (service cognition) of the park are in a mutual isolation state, and an organically-related activation cognition model is not formed, so that the cognition of the park usually floats on the surface, and the high-efficiency, high-quality and high-level operation of the park cannot be supported.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a three-layer abstract park information model based on spatial cognition, perception cognition and business cognition, and an information model management system facing to the building requirement of an intelligent park is designed and constructed by depending on the information model so as to support the full-connection digital twin operation of park objects, park information and park businesses.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the utility model provides a wisdom garden information model system, its key lies in: the system comprises a multi-particle state space-time mapping module, a ubiquitous perception fusion module, a park service component module and a full-connection park twin module, wherein:
the multi-particle-state space-time mapping module is used for digitally mapping the geography and spatial forms of the park by using a GIS technology, constructing a spatial carrier of a virtual world and establishing a park basic cognitive model;
the ubiquitous sensing fusion module is used for accessing and fusing various environment dynamic information in the park based on an internet of things sensing technology, performing unified interface definition, rule arrangement and feature matching on ubiquitous internet of things sensing data through a normalized, standardized and prefabricated data input and output interface, and establishing a park contact cognitive model;
the park service component module is used for realizing digital component modeling of service concept composition, circulation links, element endowment, driving original force and dynamic characteristics in park service operation by classifying and decomposing, summarizing and abstracting, reconstructing and defining, unifying and standardizing various service scenes of a park and forming a practice cognitive model which gives consideration to park service consistency and non-homogeneity;
the all-connected park twin module depends on the park basic cognitive model, the park contact cognitive model and the park practice cognitive model, carries out atomic level cellular management on park space-time scenes, a perception system and business ecology, constructs a park integrated ecological model, and simultaneously realizes the comprehensive control of park information and the real-time interoperation of park operation through mutual control of a digital instruction set based on a wired and wireless connection network and a perception control port so as to achieve the digital twin management of a real world and a virtual world of a park.
Furthermore, the multi-particle state space-time mapping module comprises a space field management submodule, a temporal field management submodule and a multi-cascade junction management submodule,
the space field management submodule is used for performing digital modeling and depicting on the space scene of the park by utilizing a GIS basic function;
the temporal field management submodule is used for respectively establishing time measurement scales of the past state, the present state and the future state of the real world and the digital world, establishing a continuous temporal conversion rule for different practical application scenes, and realizing rapid conversion, association and calculation operation among different temporal records;
the multi-cascade connection management submodule is used for realizing the integrated and modularized connection management of the garden space-time scene by constructing a layered, graded and classified space-time framework.
Furthermore, the model for building the space scene of the park comprises an object model and a field model, wherein the object model is a space data expression model with geometric object characteristics, and the field model adopts a digital expression mode of carrying out abstract mapping on the space scene in a grid data mode.
Furthermore, the ubiquitous sensing fusion module comprises a signal identification sub-module, an interface self-adaption sub-module and a data organic fusion sub-module;
the signal identification submodule is used for constructing an identification support database supporting all sensing data signal identification of the garden through integrating transmission signal analysis and identification rules of various sensing devices based on an integrated bus technology, and establishing a sensing data identification service bus by adopting a view programming mode;
the interface self-adaptive submodule is used for constructing data self-adaptive access, standard arrangement and characteristic matching interfaces of various sensing devices based on a sensing data identification service bus, various parameter libraries and rule libraries which are established by the signal identification submodule;
and the data organic fusion submodule is used for carrying out organic fusion processing on the accessed intelligent park perception data based on the support of the signal identification submodule and the interface self-adaptive submodule.
Further, the identification support database comprises a signal element dictionary database, a condition index database, an equipment parameter database and a reading and analyzing rule database.
Furthermore, when the interface self-adaptive sub-module constructs an interface, the interface self-adaptive sub-module is realized by adopting a man-machine interaction mode combining view layout and object programming language, and interface definition is carried out on each type of sensing equipment; on the basis of defining an interface, combining an identification component, a parameter and a rule component provided by the sensing data identification service bus in a view arrangement mode to form interface basic capability; on the basis of an interface of view arrangement, sensing equipment characteristics are extracted to obtain equipment characteristics, and special attributes are integrated and processed in an object programming mode to realize self-adaptive access of various complex sensing end data.
Furthermore, the park service component module comprises a service component definition submodule, a service rule customization submodule and a service component compiling submodule;
the service component definition submodule digitally abstracts and defines various park services based on a modular component mode, and realizes the inventory filing management of the park services;
the business rule customizing submodule is used for digitally organizing and customizing the operation rules of various business components of the park by adopting a man-machine interaction mode of view arrangement and objectification language programming based on the business component defining submodule, and completely and abstractly mapping various actually operated businesses in a digital virtual world to realize the digital synchronization of the park businesses between the real world and the digital world;
the business component compiling submodule is used for integrating the park business main body with the park spatial structure and park perception information on the basis of the business component defining submodule and the business rule customizing submodule, converting the digital park business information with the business definition and the business rule customizing into a serialized functional component which can be identified, executed and controlled by a computer through coding and compiling, and providing a dynamic link library plug-in which can be directly integrated and applied for the development and construction of a related information system of the intelligent park.
Furthermore, the operation rule of the service component is digitally organized and customized, and the operation rule comprises the decomposition of a service flow, the standardization of service data, the compilation of a service rule and the management of a service operation view.
Furthermore, the full-connection twin module is composed of a cellularization management submodule, an ecological connection submodule and an inter-control instruction set submodule;
the cellularization management submodule is used for carrying out hierarchical and classified atomization management on three cognitive levels of space cognition, perception cognition and practice cognition of the park information model;
the ecological connection submodule is used for taking the park as an ecological body with biological characteristics, and establishing an incidence relation between atomic-level cell body information models by refining physical composition characteristics, chemical action characteristics and biological evolution characteristics in the operation of the park, so that the park information models have the capability of truly reflecting the operation signs of the park;
the mutual control instruction set submodule is used for establishing a control instruction set for the operation condition of the garden on the basis of comprehensive digital mapping of the garden, so that a real digital twin information model system of the garden is established.
Furthermore, the physical composition characteristic chemical action characteristic and the biological evolution characteristic in the operation of the park are respectively a space-time characteristic, a dynamic perception characteristic and a service operation characteristic in the operation of the park;
the control instruction set comprises control instructions for a spatial scene, control instructions for sensing equipment and control instructions for service operation.
The invention has the following remarkable effects:
the ecological digital twin of the campus at atomic physical level, molecular chemical level and cell biological level is realized through the digitized cognition of the campus at three levels (spatial cognition, perception cognition and practice cognition) so as to better support the construction of the intelligent campus; the intelligent park information model system with the park information model as the core lays a foundation for development of the intelligent park to digital twin parks and park meta universe targets, and has wide popularization significance.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a block diagram of a multi-particle spatiotemporal mapping module;
FIG. 3 is a schematic diagram of a generic perceptual fusion module architecture;
FIG. 4 is a block diagram of a park service building module;
FIG. 5 is a schematic diagram of the structure of a twin module of a full-connected disc.
Detailed Description
The following provides a more detailed description of the embodiments and the operation of the present invention with reference to the accompanying drawings.
As shown in fig. 1, an intelligent park information model system includes a multi-state space-time mapping module, a ubiquitous sensing fusion module, a park service component module, and a fully-connected park twin module, wherein:
the multi-particle-state space-time mapping module is used for digitally mapping the geography and the spatial form of the garden by utilizing a GIS technology, constructing a spatial carrier of a virtual world and establishing a basic cognitive model of the garden;
the method comprises the following steps that two modes, namely an object model and a field model, can be divided according to different modeling modes of a space scene, wherein the object model refers to a space data expression model with geometrical object characteristics such as points, lines, surfaces and bodies (3D models), the object model adopts an objectification management mode, two-dimensional abstract mapping is carried out on the space scene through the points, the lines and the surfaces, and three-dimensional visual mapping is carried out on the space scene through a 3D model object; the field model refers to a digital expression mode for abstract mapping of a spatial scene by adopting a raster data mode, for example, various resolution image data (images of satellites, aviation, unmanned aerial vehicles and the like), DEM data, radar scanning data, spectral analysis data and the like abstract or visually map the spatial scene through a raster. In order to improve the efficiency of spatial data retrieval and uniformly standardize a spatial object management mechanism, a Geohash global subdivision grid algorithm is adopted to construct an index system for a garden spatial scene, and a Geohash-Z spatial index system is constructed on the basis of the index system in an expanded manner, namely, on the basis of the Geohash global subdivision grid, the elevation information (generally based on the altitude) Z is expanded and supported, so that the comprehensive expression and mapping of the garden spatial scene are realized. The computing method of the Geohash-Z global subdivision grid is that information of a certain altitude elevation or a certain interval altitude elevation is supported in an expanding mode on the basis of the global subdivision grid formed by a Geohash algorithm. Based on the above explanation, the spatial field management submodule mainly includes functions of vector object management, grid object (field model) management, 3D model management, and the like.
The ubiquitous sensing and fusion module is used for accessing and fusing various environment dynamic information such as sound, light, electricity, dust, gas, heat and the like in the park based on the internet of things sensing technology, and performing unified interface definition, rule arrangement and feature matching on ubiquitous internet of things sensing data through a standardized, standardized and prefabricated data input and output interface to realize centralized management on the park dynamic sensing data. The ubiquitous sensing fusion module is used for realizing management of a park contact sensing (sensing and cognition) framework, and is similar to the construction of a human neural network model;
the park service component module is used for processing various service scenes of the park in a classification and decomposition mode, an abstraction and abstraction mode, a reconstruction and definition mode, a unification and a standardization mode and the like, so that digital component modeling of service concept composition, circulation links, element endowment, driving original force and dynamic characteristics in park service operation is realized, and a service construction model giving consideration to park service consistency and non-homogeneity is formed. The park business construction module realizes the management of a park practice cognition (business cognition) framework, and is similar to the construction of a human blood circulation system;
the twin module of the all-connected park relies on a park basic cognition model, a contact cognition model and a practice cognition model system which are respectively constructed by a multi-particle state space-time mapping module, a ubiquitous perception fusion module and a park business construction module, carries out atomic cellular management on a park space-time scene, a perception system and business ecology, constructs a park integrated ecological model through relevant modes such as layers, networks, space topology and the like, and realizes the comprehensive control of park information and the real-time interoperation of park operation through mutual control of a digital instruction set based on a wired and wireless connection network and a perception control port, thereby achieving the digital twin management of a real world and a virtual world of the park.
For the multi-state space-time mapping module
As shown in fig. 2, the multi-particle-state space-time mapping module in this example is composed of a space field management submodule, a time field management submodule, and a multi-cascade junction management submodule, specifically:
the space field management submodule is a function set which utilizes the GIS basic function to digitally model and depict the space scene of the park. The method comprises the following steps that two modes, namely an object model and a field model, can be divided according to different modeling modes of a space scene, wherein the object model refers to a space data expression model with geometrical object characteristics such as points, lines, surfaces and bodies (3D models), the object model adopts an objectification management mode, two-dimensional abstract mapping is carried out on the space scene through the points, the lines and the surfaces, and three-dimensional visual mapping is carried out on the space scene through a 3D model object; the field model refers to a digital expression mode for abstract mapping of a spatial scene by adopting a raster data mode, for example, various resolution image data (images of satellites, aviation, unmanned aerial vehicles and the like), DEM data, radar scanning data, spectral analysis data and the like abstract or visually map the spatial scene through a raster. In order to improve the efficiency of spatial data retrieval and uniformly standardize a spatial object management mechanism, a Geohash global subdivision grid algorithm is adopted to construct an index system for a park spatial scene, and the Geohash-Z spatial index system is constructed in an expanded manner on the basis, namely, on the basis of the Geohash global subdivision grid, Z supporting elevation information (generally taking the altitude as the standard) is expanded, so that the comprehensive expression and mapping of the park spatial scene are realized. The computing method of the Geohash-Z global subdivision grid is to expand and support the information of a certain altitude elevation or a certain interval altitude elevation on the basis of the global subdivision grid formed by the Geohash algorithm. Based on the above explanation, the spatial field management submodule mainly includes functions of vector object management, grid object (field model) management, 3D model management, and the like.
Aiming at the complex and changeable tense change characteristics in the operation of the intelligent park, the tense field management submodule respectively establishes time metrics of past, present and future states for the real world and the digital world, and constructs a continuous tense conversion rule which can deal with different practical application scenes. The temporal measurement comprises two modes of time points and time intervals, the time point mode comprises specific measurement units of year, month, day, hour, minute, second, millisecond, microsecond and the like, and the time interval mode describes temporal characteristics of an event by combining an initial time point and a termination time point. The real-world temporal field refers to the digital record of temporal characteristics of people, places, things and organizations in the digital twin mapping park, and the digital world temporal field refers to the temporal characteristic record of processes such as data, information, generation, change and death of the virtual world. Due to the fact that recording tense modes and objects are different between the two tense fields, mutual overlapping, containing, crossing, continuous and other related relations exist, and fast conversion, association and calculation operations among different tense records are achieved through tense field management. Based on the above explanation, the temporal field management submodule mainly includes the functions of time scale standardization, temporal conversion, temporal association, temporal calculation, and the like.
The multi-level connection management submodule realizes the integrated and modularized connection management of the park space-time scene by constructing a layered, graded and classified space-time frame according to the space-time frame integrity and the variability application requirements in the operation of the smart park, achieves the physical (visual) cognition and the digitalized mapping capacity of the park operation environment, and establishes a basic support carrier for the construction and the operation of the smart park. According to the operation characteristics of the garden, the time and space of the garden can be divided according to different space units, for example, a time and space unit framework facing the garden planning application is established according to planning space units of the garden, a group, a plot and a building, and the incidence relation of space topology, perception identification and service link is established among garden space objects of different levels and different tenses in the framework, so that an organic time and space framework machine body is formed. Based on the above explanation, the multi-level connection management submodule mainly comprises the functions of space unit management, space topology analysis, space-time object level connection management and the like.
For the ubiquitous perception fusion module
Referring to fig. 3, the ubiquitous sensing fusion module is composed of a signal identification sub-module, an interface adaptive sub-module, and a data organic fusion sub-module, specifically:
the signal identification submodule is based on an integrated bus technology, and constructs a signal element dictionary library supporting all sensing data signal identification of a park, a status index library, an equipment parameter library, a reading and analyzing rule library and other identification support databases by integrating transmission signal analyzing and identifying rules of various ubiquitous sensing equipment, and establishes a configurable, expandable and pluggable ubiquitous sensing data identification service bus by adopting a view programming mode, thereby realizing the capability of converting uniform and concentrated sensing digital signals into visible and readable index data. Based on the above explanation, the signal identification submodule mainly comprises functions of perception equipment management, perception parameter management, identification rule programming, identification rule management and the like.
The interface self-adaptive submodule constructs data self-adaptive access, standard arrangement and characteristic matching interfaces of various sensing devices based on a sensing data identification service bus, various parameter libraries and rule libraries established by the signal identification submodule. The interface is constructed by adopting a man-machine interaction mode combining view arrangement and object programming language, and interface definition is carried out on each type of sensing equipment, including management of interface types, names, transmission data types, sensing equipment performance status parameters and other metadata; on the basis of defining an interface, utilizing an identification component, a parameter and a rule component provided by a sensing data identification service bus to form interface basic capability through a view arrangement mode; on the basis of an interface of view arrangement, sensing equipment characteristics are extracted to obtain equipment characteristics such as special parameters, index threshold values, equipment working conditions, abnormal codes and the like, and special attributes are integrated through an objective programming mode to realize self-adaptive access of various complex sensing end data. Based on the above explanation, the interface adaptive sub-module mainly comprises the functions of interface definition, standard arrangement, feature matching, interface management and the like.
And the data organic fusion submodule is used for carrying out organic fusion processing on the accessed intelligent park sensing data based on the support of the signal identification submodule and the interface self-adaptive submodule. The information of various sounds, lights, electricity, dust, gas, heat and the like acquired by the internet of things sensing equipment is in a relatively isolated state, and the information is lack of correlation, so that single sensing information can only reflect extremely narrow dynamic conditions in the operation of a park and has no continuity. The data organic fusion sub-module aims to organically fuse various sensing information, and analyzes spatial relationship, time relationship, physical reaction relationship, chemical action relationship and the like among sensing objects, so as to establish an organic association whole of dynamic sensing information of a park, and realize chemical (tactile) cognition and digital mapping of the park operating environment on the basis of physical (visual) cognition of the park operating environment. Based on the above explanation, the data organic fusion sub-module mainly comprises functions of perception data management, perception information cataloging, perception information association arrangement and the like.
For the park service component module
As shown in fig. 4, the campus service component module is composed of a service component definition sub-module, a service rule customization sub-module, and a service component compiling sub-module, specifically:
the business component definition submodule is used for digitally abstracting and defining various businesses in the park based on a modular component mode, and achieving listing file-building management of the businesses in the park. The park business components can be divided into types of government affair management, public service, enterprise operation and the like according to different operation management modes, the business is subjected to listing management on the basis of combing various business compositions, processes and data operation, and basic information such as the name, process links, data compositions, execution modes and the like of each business is uniformly defined in a component mode so as to comprehensively control the operation state of the park business. Based on the above explanation, the service component definition submodule mainly includes the functions of service creation, service meta-information management, service component cataloging management and the like.
The business rule customizing submodule is used for digitally grouping and customizing the operation rules of various business assemblies in the park by adopting a man-machine interaction mode of 'view arrangement + objectification language programming' on the basis of the business assembly defining submodule, and completely and abstractly mapping various actually operated businesses in a digital virtual world so as to realize the digital synchronization of the park businesses between the real world and the digital world. The customization of the business rules mainly comprises the functions of the decomposition of the business process, the standardization of the business data, the compilation of the business rules, the management of the business operation view and the like. The business rules mainly refer to the connection mode of the upper link and the lower link in the business operation, the circulation structure of the front and back flows, the execution selection between the parallel programs, the data evolution rules in the whole business period and the like.
The business component compiling submodule integrates a park business main body with a park spatial structure and park perception information on the basis of the business component defining submodule and the business rule customizing submodule, converts the digital park business information with the business definition and the business rule customizing into a serialized functional component which can be identified, executed and controlled by a computer through coding and compiling, and provides a dynamic link library plug-in which can be directly integrated and applied for the development and construction of a related information system of the smart park. The compiling of the service assembly mainly comprises the functions of programming coding of the service flow, binding of service data and the service flow, normalization of the similar service flow and the service data, assembly inheritance of the homogenized service flow and the service data and the like.
For fully coupled twinning modules
The full-connection twin module is composed of a cellularization management submodule, an ecological connection submodule and an inter-operation command set submodule.
The cellularization management submodule carries out hierarchical and classified atomization management on three cognitive levels (space cognition, perception cognition and practice cognition) of a park information model, namely, a space scene, a perception system and a service ecology are managed according to the most basic granularity, a space object model (or a micro scene), a perception information body and a service component of each basic granularity form an independent cell, each cell is a unit capable of meeting and supporting the requirements of a certain field, link and scene in park operation, and dynamic combination supporting development of park operation service can be carried out among a plurality of cells.
The ecological connection submodule takes the garden as an ecological body with biological characteristics, establishes the incidence relation between atomic level cell body information models by refining physical composition characteristics (instant empty characteristics), chemical action characteristics (dynamic perception characteristics) and biological evolution characteristics (business operation characteristics) in the operation of the garden, and enables the garden information models to have the capability of truly reflecting the operation signs of the garden, thereby realizing the comprehensive mapping of the garden information in the digital world.
The mutual control instruction set submodule establishes a control instruction set for the operation condition of the garden on the basis of comprehensive digital mapping of the garden, so that a real garden digital twin information model system is established. The mutual control instruction comprises a control instruction for a space scene (such as changing control of micro-scene layout, operation control of special assembly, regulation and control of garden planning layout, scheduling of personnel on-duty positions and the like), a control instruction for sensing equipment (such as adjusting of camera orientation and focal length), and a control instruction for service operation (such as starting and stopping of service and the like). The inter-control instruction set submodule mainly comprises functions of instruction creation, modification, testing, monitoring and the like.
The system is a core data construction platform for construction and operation of the smart park, and has the function of realizing the full ecological digitization twin of atomic physical level, molecular chemical level and cell biological level of the park through the digital understanding of the park of three levels (space cognition, perception cognition and practice cognition) so as to better support the construction of the smart park. The intelligent park Information Model system with the park Information Model (DIM. District Information Model) as the core lays a foundation for the development of the intelligent park to digital twin parks and park meta universe targets, and has wide popularization significance.
The technical solution provided by the present invention is described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, without departing from the principle of the present invention, it is possible to make various improvements and modifications to the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. The utility model provides a wisdom garden information model system which characterized in that: the system comprises a multi-particle state space-time mapping module, a ubiquitous perception fusion module, a park service component module and a full-connection park twin module, wherein:
the multi-particle-state space-time mapping module is used for digitally mapping the geography and the spatial form of the garden by utilizing a GIS technology, constructing a spatial carrier of a virtual world and establishing a basic cognitive model of the garden;
the ubiquitous sensing and fusion module is used for accessing and fusing various environment dynamic information in the park based on the internet of things sensing technology, and performing unified interface definition, rule arrangement and feature matching on ubiquitous internet of things sensing data through a standardized, standardized and prefabricated data input and output interface to establish a park contact cognitive model;
the park service component module is used for realizing digital component modeling of service concept composition, circulation links, element endowment, driving original force and dynamic characteristics in park service operation by classifying and decomposing, summarizing and abstracting, reconstructing and defining, unifying and standardizing various service scenes of a park and forming a practice cognitive model which gives consideration to park service consistency and non-homogeneity;
the all-connected park twin module depends on the park basic cognitive model, the park contact cognitive model and the park practice cognitive model, carries out atomic level cellular management on park space-time scenes, a perception system and business ecology, constructs a park integrated ecological model, and simultaneously realizes the comprehensive control of park information and the real-time interoperation of park operation through mutual control of a digital instruction set based on a wired and wireless connection network and a perception control port so as to achieve the digital twin management of a real world and a virtual world of a park.
2. The intelligent campus information model system of claim 1 wherein: the multi-particle state space-time mapping module comprises a space field management submodule, a time field management submodule and a multi-cascade junction management submodule,
the space field management submodule is used for performing digital modeling and depicting on the space scene of the park by utilizing a GIS basic function;
the temporal field management submodule is used for respectively establishing time measurement scales of the past state, the present state and the future state of the real world and the digital world, establishing a continuous temporal conversion rule for different practical application scenes, and realizing rapid conversion, association and calculation operation among different temporal records;
the multi-cascade connection management submodule is used for realizing the integrated and modularized connection management of the campus time-space scene by constructing a layered, graded and classified time-space framework.
3. The intelligent campus information model system of claim 2 wherein: the model for building the space scene of the park comprises an object model and a field model, wherein the object model is a space data expression model with geometric object characteristics, and the field model adopts a digital expression mode of carrying out abstract mapping on the space scene in a grid data mode.
4. The intelligent campus information model system of claim 1 wherein: the ubiquitous sensing fusion module comprises a signal identification submodule, an interface self-adaption submodule and a data organic fusion submodule;
the signal identification submodule is used for constructing an identification support database supporting all sensing data signal identification of the garden through integrating transmission signal analysis and identification rules of various sensing devices based on an integrated bus technology, and establishing a sensing data identification service bus by adopting a view programming mode;
the interface self-adaptive submodule is used for constructing data self-adaptive access, standard arrangement and characteristic matching interfaces of various sensing devices based on a sensing data identification service bus, various parameter libraries and rule libraries which are established by the signal identification submodule;
and the data organic fusion submodule is used for carrying out organic fusion processing on the accessed intelligent park perception data based on the support of the signal identification submodule and the interface self-adaptive submodule.
5. The intelligent campus information model system of claim 4 wherein: the recognition support database comprises a signal element dictionary library, a condition index library, an equipment parameter library and a recognition and analysis rule library.
6. The intelligent campus information model system of claim 4 wherein: when the interface self-adaptive sub-module constructs an interface, the interface self-adaptive sub-module is realized by adopting a man-machine interaction mode combining view arrangement and object programming language, and interface definition is carried out on each type of sensing equipment; on the basis of defining an interface, combining an identification component, a parameter and a rule component provided by the sensing data identification service bus in a view arrangement mode to form interface basic capability; on the basis of an interface of view arrangement, sensing equipment characteristics are extracted to obtain equipment characteristics, and special attributes are integrated and processed in an object programming mode to realize self-adaptive access of various complex sensing end data.
7. The intelligent campus information model system of claim 1 wherein: the park business component module comprises a business component definition submodule, a business rule customization submodule and a business component compiling submodule;
the service component definition submodule digitally abstracts and defines various park services based on a modular component mode, and realizes the inventory filing management of the park services;
the business rule customizing submodule is used for digitally organizing and customizing the operation rules of various business components of the park by adopting a man-machine interaction mode of view arrangement and objectification language programming based on the business component defining submodule, and completely and abstractly mapping various actually operated businesses in a digital virtual world to realize the digital synchronization of the park businesses between the real world and the digital world;
the business component compiling submodule is used for integrating the park business main body with the park spatial structure and park perception information on the basis of the business component defining submodule and the business rule customizing submodule, converting the digital park business information with the business definition and the business rule customizing into a serialized functional component which can be identified, executed and controlled by a computer through coding and compiling, and providing a dynamic link library plug-in which can be directly integrated and applied for the development and construction of a related information system of the intelligent park.
8. The intelligent campus information model system of claim 7 wherein: the operation rule of the service component is digitally grouped and customized, and the operation rule comprises the decomposition of a service flow, the standardization of service data, the compilation of a service rule and the management of a service operation view.
9. The intelligent campus information model system of claim 1 wherein: the fully-connected twin module consists of a cellization management submodule, an ecological connection submodule and an inter-control instruction set submodule;
the cellularization management submodule is used for carrying out hierarchical and classified atomization management on three cognitive levels of space cognition, perception cognition and practice cognition of the park information model;
the ecological connection submodule is used for taking the park as an ecological body with biological characteristics, and establishing an incidence relation between atomic level cell body information models by refining physical composition characteristics, chemical action characteristics and biological evolution characteristics in the operation of the park, so that the park information models have the capability of truly reflecting the operation signs of the park;
the mutual control instruction set submodule is used for establishing a control instruction set for the operation condition of the garden on the basis of comprehensive digital mapping of the garden, so that a real digital twin information model system of the garden is established.
10. The intelligent park information model system according to claim 9, wherein: the physical composition characteristic chemical action characteristic and the biological evolution characteristic in the operation of the park are respectively a space-time characteristic, a dynamic perception characteristic and a service operation characteristic in the operation of the park;
the control instruction set comprises control instructions for a spatial scene, control instructions for sensing equipment and control instructions for service operation.
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Application publication date: 20221206 |