CN112214483A

CN112214483A - Method and device for analyzing, associating, storing and accessing data in urban information model

Info

Publication number: CN112214483A
Application number: CN201910623251.8A
Authority: CN
Inventors: 王颖初; 郎昕培
Original assignee: Glodon Co Ltd
Current assignee: Glodon Co Ltd
Priority date: 2019-07-11
Filing date: 2019-07-11
Publication date: 2021-01-12

Abstract

A method and a device for analyzing, associating, storing and accessing data in a city information model are provided, wherein the data analysis among objects in the city information model is realized by using relation type definition, association relation instance definition, object type definition, global dimension type definition, attribute set definition, operation set and attribute set definition data types, complex object type expression and internal data attribute definition are supported, complex multi-dimension association can be carried out, various types of external data sources can be seamlessly and transparently integrated, and the massive data storage capacity of a city scale level is supported.

Description

Method and device for analyzing, associating, storing and accessing data in urban information model

Technical Field

The invention relates to the technical field of data fusion and analysis, in particular to a method and a device for analyzing, associating, storing and accessing data in a city information model.

Background

A city is composed of six core systems of different types of networks, infrastructures, and environments, including organizations (people), businesses/government affairs, traffic, communication, water, and energy, which are related to the main functions of the city. These systems are not discrete, but rather are linked to each other in a coordinated manner. The city itself is a macro system composed of these systems. Smart City (Smart City) is a City that integrates its constituent systems and services using various information technologies or innovative ideas to improve the efficiency of resource utilization, optimize City management and services, and improve the quality of life of citizens. From the perspective of technical development, smart city construction requires full perception, ubiquitous interconnection, pervasive computing and fusion application through new-generation information technology application such as internet of things represented by mobile technology and cloud computing.

According to the definition and characteristics of the smart city, in order to meet the functional requirements of the smart city, acquisition and fusion of massive multi-source heterogeneous data are required to be achieved on a basic data organization level, and meanwhile, the association relation among the data needs to be systematically discovered and combed, so that data analysis can be conducted on multiple complex dimensions. Meanwhile, in order to effectively present and use the data, a user interface which can present and operate the data in a three-dimensional space needs to be provided for a user. Currently, in the construction and development of information systems related to the smart city industry, a commonly utilized technical means is that the system development is performed by combining a 3D GIS geographic information display system, a three-dimensional building visualization technology and a data integration mode based on a traditional database or an NOSQL (key-value, table, document class) database.

One significant disadvantage of the existing mainstream development mode is that the acquisition and fusion of multi-source heterogeneous data need to be customized and developed according to specific product business requirements, and the cost is high; the business incidence relation among most of data from different sources cannot be dynamically adjusted after the system is on-line, so that the system function is difficult to evolve and upgrade, and the analysis dimension which can be processed is limited within the initial design range of the system. In addition, the correlation analysis of time, space and specific service data is a necessary condition for the normal operation of the smart city system, but the existing conventional data processing technical scheme cannot seamlessly integrate geographic information data, time data and various heterogeneous service data.

Disclosure of Invention

Aiming at the defects in the prior art, the invention provides a method and a device for analyzing, associating, storing and accessing data in a city information model, which support complex object type expression and internal data attribute definition, can perform complex multi-dimensional association, can seamlessly and transparently integrate various types of external data sources, and support the storage capacity of mass data at a city scale level.

The invention provides a data association and analysis method in a city information model, which is used for realizing data association and analysis of multi-dimension and multi-association relation among objects in the city information model, and the method comprises the following steps:

(1) using a relation type definition to represent various abstract incidence relations with different properties and different types between entity objects needing to be expressed in the city information model;

(2) defining objective associations between entity objects representing true presence in the city information model using an incidence relationship instance;

(3) the method comprises the steps of representing type expression of any entity object which can be contained in the urban information model by using object type definition, representing real data expression of the object type definition by using object type instance, specifying a specific relation type definition for any two specified object type definitions in the urban information model, and automatically creating an incidence relation instance defined by the relation type when creating the object type instance;

(4) defining various service dimensions which represent the urban information model and need to be subjected to global analysis by using a global dimension type, and establishing an incidence relation of multi-dimensional data;

(5) and realizing data analysis among objects in the urban information model based on the definition.

Further, the city information model further comprises an attribute type definition, an attribute set definition, an operation set and an attribute set, wherein:

the attribute type definition represents a basic structure of data information contained in an object type definition, and comprises the name and description of an attribute and the data type of the attribute;

the attribute set definition represents a container of attribute type definition, one attribute set definition comprises a plurality of attribute type definitions, and the attribute set definition is directly associated with the object type definition and is used for describing an attribute information set of a certain category contained in the object type definition;

the operation set represents a set of operation actions that can be performed on an entity object of a particular object type;

the property sets represent values of a number of data properties in an object type instance that conform to a particular property set definition.

Further, the relationships between the respective definitions include:

one of said object type definitions may be associated with an unlimited number of said attribute set definitions, which associations define a collection of attributes for all different business types that can be represented in one object type;

one of said attribute set definitions may be associated with an unlimited number of said attribute type definitions, which associations define detailed definitions of all attributes that can be contained in one of said attribute sets;

one of said object type definitions may be associated with one of said set of operations, the association defining a set of business operations that can be processed in one object type;

one of said sets of operations may be associated with an unlimited number of operation definitions, which define the definition and implementation details of all the business operations contained in one set of operations;

defining for one of said object types an unlimited number of instances of said object type can be created;

according to the associated attribute set definition in the object type definition, one object type instance comprises a corresponding number of attribute sets;

according to the associated operation set definition in the object type definition, one object type instance comprises a corresponding number of operations;

according to the attribute set definition, one attribute set contains a corresponding number of attribute values.

Further, various abstract association relations with different properties and different types between the entity objects comprise: the entity objects are in the spatial containing relationship and the entity objects are in the logical dependency relationship.

Further, one of the city information models may include any number of association instances, each of which belongs to a specific relationship type definition, each of which has a direction and points to a source entity object and a target entity object.

Further, all the incidence relation instances associated with the object type instances can be obtained by accessing the object type instances, and then another city information model object entity related to the object type instances through the incidence relation instances is obtained.

Further, the business dimension comprises a time dimension, a space dimension and a conventional business dimension.

Further, the defining, by using the global dimension type, various service dimensions representing the urban information model that need to be globally analyzed, and establishing an association relationship of multidimensional data includes:

(1) defining a global dimension type definition representing a time dimension, including defining year, month, day, hour and minute, creating a corresponding time class global dimension type instance, representing a logical relation of object entities in the city information model on a time scale by using 'time inclusion', and establishing an incidence relation on the time scale for each time class global dimension type instance;

(2) defining a global dimension type definition representing a space dimension, including defining a city, an urban area, a street and a position, creating a corresponding space class global dimension type example, representing an object entity logical relationship on a space scale by using a space inclusion and a space adjacency, and establishing an incidence relationship on the space scale for each space class global dimension type example;

(3) defining a global dimension type definition representing a conventional service dimension, and creating a corresponding conventional service class global dimension type instance;

(4) creating an object type definition representing type expression of any entity object which can be contained in the city information model, and creating a corresponding object type instance to describe related business concepts and object entities in the city information model;

(5) according to the business and objective association between real object entities, corresponding association relation examples are created between each object type example and a global dimension type example representing time, space and conventional business dimensions, and then a multi-dimension data association network can be created;

(6) performing spatiotemporal integrated data analysis on the multidimensional data correlation network using a unified approach.

The invention also provides a method for associating the multidimensional data in the urban information model, which uses the overall dimension type definition to represent various service dimensions which need overall analysis in the urban information model and establishes the association relationship of the multidimensional data, and the method comprises the following steps:

The invention also provides a method for realizing multi-source heterogeneous data analysis in the urban information model, which comprises the following steps:

(1) using an object type instance as a digital mirror image for describing various service objects in the city information model, wherein the object type instance is a real data expression defined by a specific object type, and the object type definition represents a type expression of any entity object which can be contained in the city information model;

(2) acquiring all data information related to the business object through the object type example;

(3) using an attribute set as a minimum unit for describing service data grouping in the object type instance, wherein all operations on data are realized by accessing the attribute set;

the attribute set represents values of a plurality of data attributes in one object type instance, wherein the data attributes conform to a specific attribute set definition, the attribute set definition is a container of attribute type definitions, a plurality of attribute type definitions are contained in one attribute set definition, and the attribute type definition represents a basic structure of one item of data information contained in one object type definition.

Further, the set of attributes includes:

a SINGLE-value class attribute set SINGLE, wherein all attributes in the SINGLE-value class attribute set have only one attribute value in a subordinate object instance, and data of the SINGLE-value class attribute set of all object instances are directly stored in an internal database of the city information model;

a COLLECTION class attribute set COLLECTIN, wherein all attributes in the COLLECTION class attribute set can have a plurality of attribute values in subordinate object instances, and data of the COLLECTION class attribute set of all the object instances are directly stored in an internal database of the city information model;

REFERENCE class attribute set REFERENCE, which returns the attribute values of all object instances meeting the mapping rule in another specified object type definition as REFERENCE class attributes to the visitor by using a specific object instance mapping rule, wherein the data of all object instances defined by the referenced object type are directly stored in an internal database of the city information model;

a LINK attribute set LINK, wherein the LINK attribute set takes a specific relationship type definition as an association basis, the attribute value of any object instance in the city information model, which has such association with an operation target object instance, is returned to a visitor as a LINK attribute, the data of all the linked object instances are directly stored in an internal database of the city information model, and the relationship type definition represents various abstract association relationships of different properties and different types between entity objects needing to be expressed in the city information model;

an EXTERNAL attribute set EXTERNAL, which is a mapping of all multi-source heterogeneous data inside the city information model except for the internal database of the city information model.

Further, the following types of data sources may be mapped directly as external attribute sets in the city information model for direct access by users, including:

data tables in various RMDBS relational database systems;

the data tables or data sets of the monomers in various NOSQL database systems;

independent message queues in various message systems and independent data streams in a stream data system;

memory data in the memory/cache type data storage system;

real-time or historical data in a time sequential database system;

data content in various types of unstructured files.

Furthermore, besides directly defining a single data source in the existing external data system as an external attribute set, a user-defined program data source can be defined in the city information model.

The invention also provides a data storage and access method in the city information model, which comprises the following steps:

(1) constructing a storage system of core metadata and incidence relation data of the city information model in the form of a graphic database;

(2) storing the basic metadata of all object entities in the city information model and the incidence relation among all the object entities in a storage system of the core metadata and the incidence relation data;

(3) storing attribute set definitions in a storage system of the core metadata and the incidence relation data to express connection information between all objects in the city information model and external multi-source heterogeneous data sources;

(4) when the access and incidence relation analysis of the basic metadata information are carried out on the object entity of the city information model, the storage system of the core metadata and the incidence relation data is directly operated;

(5) when complex cross-external heterogeneous data source operation is carried out on the object entity of the city information model, attribute set definition information required by the cross-data source operation is obtained from the storage system of the core metadata and the incidence relation data, and data in an external heterogeneous data source is obtained in the form of an access attribute set.

The invention also provides a data association and analysis device in the city information model, which is used for realizing the data association and analysis of the multi-dimensional and multi-association relation among the objects in the city information model, and the device comprises:

the relation type definition unit is used for defining various abstract association relations with different properties and different types among the entity objects needing to be expressed in the city information model by using the relation type;

an incidence relation instance definition unit which uses the incidence relation instance to define the objective relation between entity objects which really exist in the city information model;

the object type definition unit is used for representing type expression of any entity object which can be contained in the urban information model by using object type definition, representing real data expression of the object type definition by using object type instance, specifying a specific relation type definition for any two specified object type definitions in the urban information model, and automatically creating an incidence relation instance defined by the relation type when creating the object type instance;

the global dimension type definition unit is used for defining various service dimensions which are required to be subjected to global analysis in the city information model by using a global dimension type and establishing an incidence relation of multi-dimensional data;

and the data analysis unit is used for realizing data analysis among objects in the urban information model based on the definition of each unit.

The invention also provides a device for associating the multidimensional data in the urban information model, which uses the global dimension type to define various service dimensions which represent the urban information model and need to be globally analyzed, and establishes the association relationship of the multidimensional data, wherein the device comprises:

the global time dimension definition unit is used for defining global dimension type definition representing time dimension, including defining year, month, day, hour and minute, creating corresponding time class global dimension type examples, representing the logical relationship of object entities in the city information model on the time scale by using 'time inclusion', and establishing the incidence relationship on the time scale for each time class global dimension type example;

the global space dimension definition unit is used for defining global dimension type definition representing space dimensions, including defining cities, urban areas, streets and positions, creating corresponding space class global dimension type examples, representing object entity logic relations on the space dimensions by using space inclusion and space adjacency, and establishing incidence relations on the space dimensions for the space class global dimension type examples;

the global conventional service dimension definition unit is used for defining a global dimension type definition representing a conventional service dimension and creating a corresponding global dimension type example of a conventional service class;

a first creating unit, configured to create an object type definition representing a type expression of any entity object that can be included in the city information model, and create a corresponding object type instance to describe a related service concept and an object entity in the city information model;

the second creating unit is used for creating corresponding incidence relation examples between each object type example and the global dimension type example representing time, space and conventional service dimensions according to the actual business and objective correlation between the object entities, and then a multi-dimensional data correlation network can be created;

and the data analysis unit is used for performing spatio-temporal integrated data analysis on the multi-dimensional data correlation network in a unified mode.

The invention also provides a device for realizing multi-source heterogeneous data analysis in the urban information model, which comprises:

a digital mirror image description unit, configured to use an object type instance as a digital mirror image for describing various service objects in the city information model, where the object type instance is a real data expression of a specific object type definition, and the object type definition represents a type expression of any entity object that can be included in the city information model;

the data acquisition unit is used for acquiring all data information related to the business object through the object type example;

an attribute set access unit, configured to use an attribute set as a minimum unit for describing a service data packet in the object type instance, where all operations on data are implemented by accessing the attribute set;

The invention also provides a data storage and access device in the city information model, which comprises:

the storage system construction unit is used for constructing a storage system of core metadata and incidence relation data of the city information model in the form of a graphic database;

the first storage unit is used for storing the basic metadata of all object entities in the city information model and the incidence relation among all the object entities in the storage system of the core metadata and the incidence relation data;

the second storage unit is used for storing attribute set definitions in a storage system of the core metadata and the incidence relation data to express connection information between all objects in the city information model and external multi-source heterogeneous data sources;

the operation unit is used for directly operating the storage system of the core metadata and the incidence relation data when the access of the basic metadata information and the incidence relation analysis are carried out on the object entity of the city information model;

and the data acquisition unit is used for acquiring attribute set definition information required by the cross-data-source operation from the storage system of the core metadata and the incidence relation data when the complex cross-external heterogeneous data source operation is carried out on the object entity of the city information model, and acquiring data in the external heterogeneous data source in the form of an access attribute set.

Aiming at the limitation of the conventional technology and solution scheme for designing and developing smart cities at present, the method and the device for analyzing, associating, storing and accessing data in the city information model can systematically and regularly describe all components in the smart cities and the internal association relationship among the components in a unified mode, and the definition of the city information model and the data stored in the city information model can still dynamically change according to business needs after the system is on line, so that the continuous enhancement and evolution of system functions are ensured, and data analysis can be carried out on any complex dimension. On the basis of a general city information model, the invention provides a technical scheme for seamlessly fusing conventional business data with geographic space data and time data, so that any conventional business data can be deeply analyzed on the time and space scales, and the value of an intelligent city system is reflected to the maximum extent.

Drawings

To facilitate understanding and implementing the present application by those of ordinary skill in the art, the following technical solutions of the present application are described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present application, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

FIG. 1 is an interaction between objects in the city information model of the present invention;

FIG. 2 is a schematic diagram illustrating the definition of the multi-dimensional and multi-entity association relationship between objects in the city information model

FIG. 3 is a schematic diagram of the present invention for implementing spatiotemporal integration multidimensional data analysis using global dimension type definitions;

FIG. 4 is a diagram illustrating the structure definition of various attribute sets in a city information model according to the present invention;

FIG. 5 is a data storage and access technology architecture diagram of the city information model of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In order to realize seamless fusion between multi-source heterogeneous data serving for a smart city and comprehensive analysis on a complex dimension, a set of universal data definition and expression mode is used for expressing the structures of all heterogeneous data and the association relation between different data in a business level standardization mode. The invention uses the concept of city information model to complete the design of the data definition and expression mode.

The City Information Modeling (CIM) is an organic complex of a three-dimensional City space model and City Information established by taking City Information data as a base number, is a digital expression of physical and functional characteristics of a City level building group, and is a digital description and expression of various entity targets on the ground, underground, indoor and outdoor and space-time states of the City. In a range, the urban information model is an organic combination of GIS data of a large scene, BIM data of a small scene and the Internet of things. The digital image of the city is formed by effectively organizing information, and effective cooperation, accurate analysis, real-time early warning and visual management aiming at planning, construction and operation management of each professional field of the city are realized by relying on the image. The space-time integration means that the mutual integration and interaction of time and space in the geographic concept are realized through certain technologies.

At the technical capability level, the urban information model needs to have the following basic capabilities:

(1) complex object type expressions can be supported. The entity objects facing various levels of granularity can be defined, for example, the entity objects facing various levels of granularity such as city, field, facility, component and equipment are defined.

(2) Object types can be associated with complex, multi-dimensions and can accommodate complex internal data attribute definitions. Full-dimensional semantic information can be accommodated, such as various tenses, various data forms, various spatial dimensions, various temporal dimensions, various precisions, various granularities, various semantic expression types, and factor information of the entity object itself.

(3) The method has the description capability of city scale. The system can cover multiple spatial dimensions (entity space, each hierarchy of administrative management units and natural form units) of a city, can cover multiple time dimensions (different tenses of city information and city life cycle) of the city, and can describe materialized physical and human factors forming the city.

(4) The visual expression in the spatial dimension is supported, and the visual expression and quantitative measurement in the three-dimensional level can be realized on all the entity objects.

(5) The method is characterized in that CIM model resources are established and maintained together based on multi-party cooperation, the cooperative management of different business departments on city operation is supported, and the real-time early warning prediction application of each business field is supported based on the integration of dynamic internet of things perception information.

(6) The system is highly integrated with various special service systems at a data level, and can seamlessly and transparently integrate various external data sources.

According to the definition of the urban information model function, the complete IT technology of the urban information model is realized, and the business requirements of various intelligent urban application systems can be completely met. The present invention uses the following system architecture design to implement the full functionality of a complete city information model.

The present invention uses the following terms to describe the concepts of various objects required to implement a city information model, and by using the functions of these objects in combination, the overall functional requirements of the city information model can be achieved, the terms including:

object type definition (InfoObjectDef): the type expression of any entity object which can be contained in the city information model is represented, and the object containing the type comprises all attribute set definitions and the definition of the operation which can be executed on the object of the type.

Property type definition (PropertyTypeDef): representing the basic structure of an item of data information contained in an object type definition. The attribute type defines the data type that contains the name, description, and attributes of the item. The data types include basic scalar numerical type and unstructured data types such as video, audio and text.

Attribute set definition (DatasetDef): is a container of attribute type definition, and can contain a plurality of attribute type definitions in an attribute set definition. The attribute set definition is directly associated with the object type definition and is used for describing an attribute information set of a certain category contained in one object type definition.

Relationship type definition (relationship type def): a specific association manner between the entity objects is described, such as a spatial inclusion relationship between the two entity objects or a logical dependency relationship between the two entity objects.

Global dimension type definition (globaldimesiontype): representing a class of objectively existing physical objects that do not vary depending on specific business and analysis goals, such as time, administrative divisions, building type classifications, etc. The method generally interacts with other entity objects of various object types in the urban information model, and is an important target for multidimensional data analysis in the urban information model.

Action set (Actionset): represents the set of operational actions that can be performed on a physical object of a particular object type.

Object type instance (InfoObject): is a digital image of the real data representation defined by a specific object type and representing the existence of an objective thing in the real world in the urban information model.

Attribute set (Dataset): representing values of a number of data attributes in an object type instance that conform to a particular attribute set definition. It represents the data metrics of this object type instance in a particular business class.

Association relation example (relationship instance): the incidence relation instance is a real data expression defined by a specific relation type, and represents an objective relation between two entities in the urban information model.

The objects used to form the city information model in the present invention have a series of logical relationships as shown in fig. 1, and all the system functional requirements can be satisfied by using these logical relationships to combine and use various types of objects in the city information model.

The basic interaction relationship among the objects is shown in fig. 1, which is specifically described as follows:

(1) an object type definition (InfoObjectDef) may be associated with an unlimited number of attribute set definitions (DatasetDef), which define a set of attributes for all the different business types that can be expressed in an object type.

(2) One property set definition (DatasetDef) can be associated with an unlimited number of property type definitions (propertytypefs) that define detailed definitions of all properties that can be contained in one property set.

(3) An object type definition (InfoObjectDef) may be associated with an action set (Actionset), which defines the set of business operations that can be handled in an object type.

(4) An Action set may be associated with an unlimited number of Action definitions (actions), which define the definition and implementation details of all business actions contained in the Action set.

(5) An unlimited number of object type instances (InfoObjects) can be created for one object type definition (InfoObjectDef). The kind of data contained in these object type instances strictly follows the definitions in the object type definitions, representing a digitized image of a particular type of thing in the real world.

(6) According to the associated attribute set definition (DatasetDef) in the object type definition, a corresponding number of attribute sets (Dataset) are contained in one object type instance (InfoObject).

(7) According to the associated operation set definition (Action set) in the object type definition, one object type instance (InfoObject) contains a corresponding number of operations (actions).

(8) According to the attribute set definition, one attribute set (Dataset) contains a corresponding number of attribute values (Property).

The first embodiment is as follows:

referring to fig. 2, an embodiment of the present invention provides a data association and analysis method in a city information model, which is used to implement data association and analysis of multi-dimensional and multi-association relationships between objects in the city information model. The IT system realized by the method of the invention can theoretically perform data analysis of unlimited dimension quantity and unlimited relation type quantity aiming at entity objects in any city information model.

The data analysis method comprises the following steps:

(1) relationship type definitions (RelationTypeDef) are used to describe various abstract association relationships of different natures and different types between entity objects that need to be expressed in the city information model. Such as a spatial containment relationship of two entity objects or a logical dependency relationship of two entity objects.

In which an unlimited number of relationship type definitions may be defined in a city information model to describe complex abstract relationships between entities in a city.

(2) An association relationship instance definition (relationship instance) is used to express the objective association between real-existing entity objects in the city information model.

Any number of incidence relation instances can be contained in a city information model, each incidence relation instance must belong to a specific relation type definition, each incidence relation instance has a direction, and must point to a source entity object and a target entity object.

(3) A specific relationship type definition (RelationTypeDef) is specified for any two specified object type definitions (InfoObjectDef) in the city information model, so that an associative relationship instance defined by the relationship type can be automatically created when the object type instance (InfoObject) is created. The object type definition (InfoObjectDef) represents a type expression of any entity object that can be contained in the city information model, and the object containing the type contains all attribute set definitions and definitions of operations that can be executed on the object of the type. The object type instance (InfoObject) is the real data representation defined by the object type.

All the relationship instances (relationship instances) associated with any object type instance (InfoObject) can be obtained by accessing the instance, and then another city information model object entity related to the instance through the relationship instance can be obtained.

(4) And representing various service dimensions which need to be subjected to global analysis in the urban information model by using global dimension type definition (GlobalDimensionType), and establishing an incidence relation of multi-dimensional data, wherein the service dimensions comprise a time dimension, a space dimension and a conventional service dimension.

Any number of global dimension type definitions can be defined in a city information model, and any number of global dimension type instances of corresponding types can be created for the global dimension type definitions.

All object entities in the city information model can establish association with these global dimension type instances using any relationship type definition.

Example two:

referring to fig. 3, a second embodiment of the present invention provides a spatio-temporal integration multidimensional data association method in a city information model. The global dimension type definition can establish an incidence relation with all object entities in the city information model through a uniform operation mode, and the multi-dimensional data analysis function of space-time integration can be realized by adding the special global dimension type definition expressing time and space concepts in advance and mixing the definition with other city information model object entities for use. The global dimension type definition is combined with the object type definition to realize the spatio-temporal integration multi-dimensional data association in the urban information model.

The global dimension type definition comprises:

(1) defining a global Dimension type definition representing a time Dimension, including defining a Year (Year Dimension), a Month (Month Dimension), a Day (Day Dimension), an Hour (Hour Dimension), a Minute (Minute Dimension), and creating corresponding global time Dimension type instances, such as 2018, 2019, Month 5, 2018, Month 5, Day 30, 2019, Month 4, Day 30, 11, 23, etc. Defining the meaning of "time inclusion" in the relationship type definition (RelationTypeDef), which represents the logical relationship of object entities on the time scale and uses this relationship type definition to establish the association relationship on the time scale for each time class global dimension type instance.

(2) Defining global Dimension type definitions representing spatial dimensions, including defining cities (City dimensions), districts (discharge dimensions), streets (Street dimensions), locations (Location dimensions), etc., and creating corresponding global spatial Dimension type instances, such as beijing City, hailpost, shangxi road, zhongguanu software park, etc. Defining the meanings of 'space inclusion' and 'space adjacency' in a relation type definition (relationship type Def), wherein the 'space inclusion' and the 'space adjacency' represent object entity logical relations on a space scale and establish the incidence relation on the space scale for each space class global dimension type instance by using the relation type definitions.

(3) A global Dimension Type definition representing a conventional business Dimension is defined, including a Building Type (Building Type Dimension), and a corresponding global Dimension Type instance, such as civil buildings and the like, is created.

(4) Creating object type definitions including buildings (Building), enterprises (Company), personnel (Person), etc., and creating corresponding object instances to describe relevant business concepts and object entities in the city information model.

(5) According to the business and objective association between real object entities, corresponding association relation instances (relationship instances) are created between each object instance and the global dimension type instances representing time, space and conventional business dimensions, and then a multi-dimensional data association network can be created.

(6) Spatio-temporal integrated data analysis can be performed in a unified manner over the associative network.

Example three:

the third embodiment of the invention provides a method for realizing multi-source heterogeneous data analysis in a city information model, which comprises the following steps:

(1) an object type instance (InfoObject), which is a real data representation of a particular object type definition representing a type representation of any entity object that can be contained in the city information model, is used as a digital mirror to describe various types of business objects in the city information model.

(2) And acquiring all data information related to the business object through the object type example.

(3) And using the attribute set as a minimum unit for describing service data grouping in the object type instance, wherein all operations on the data are realized by accessing the attribute set. By using the attribute sets with different structures, the fusion access and analysis of multi-source heterogeneous data with the attribute sets as the core can be realized.

The attribute set represents values of a plurality of data attributes in an object type instance, wherein the data attributes conform to a specific attribute set definition, the attribute set definition is a container of attribute type definitions, a plurality of attribute type definitions are contained in one attribute set definition, and the attribute type definition represents a basic structure of a data message contained in one object type definition.

FIG. 4 illustrates the interaction between an object type definition and a property set definition for different structures. An object type definition (InfoObjectDef) can be associated with any number of attribute set definitions (DatasetDef). All object type instances defined by the object type can acquire the attribute sets in a uniform mode and access various service data through standard general attribute set operation. The technical implementation of the different structured attribute sets to actually process the business data is transparent to the object instances.

In the design of the present invention, 5 different structured property sets are defined.

(1) SINGLE: and the single-value class attribute set is characterized in that all the attributes in the single-value class attribute set have only one attribute value in the subordinate object type instance. The data of the single-value class attribute set of all the object instances are directly stored in an internal database of the city information model.

(2) COLLECTION, a COLLECTION class attribute set, where all attributes in the COLLECTION class attribute set may have multiple attribute values in a subordinate object instance. The data of the set class attribute set of all object instances is directly stored in the internal database of the city information model.

(3) REFERENCE, referring to a class attribute set, returns the attribute values of all object instances in another specified object type definition that meet a mapping rule as REFERENCE class attributes to the visitor by using a specific object instance mapping rule (e.g., specified attribute values are equal). The data of all object instances defined by reference object types is stored directly in the internal database of the city information model.

(4) LINK: the link class attribute set takes a specific relationship type definition (relationship type Def) as an association basis by being appointed. The attribute values of any object instance in the city information model that has such an association with the operation target object instance are returned to the visitor as link class attributes. The data of all the linked object instances are directly stored in the internal database of the city information model.

(5) EXTERNAL: and the external attribute set is the mapping of all multi-source heterogeneous data in the city information model except the internal database of the city information model. The following types of data sources can be mapped directly as external attribute sets in the city information model for direct access by users, including:

1) data tables in various types of RMDBS relational database systems.

2) And the data tables or data sets of the monomers in various NOSQL database systems.

3) Independent message queues in various types of message systems and independent data streams in streaming data systems.

4) Memory data in a memory/cache type data storage system.

5) Real-time or historical data in a time-sequential database system.

6) Data content in various types of unstructured files.

Besides directly defining a single data source in the existing external data system as an external attribute set, a user-defined program data source can be defined in the city information model. Complex business logic can be added in a user-defined program data source in a programming mode, large-scale parallel processing can be executed aiming at a plurality of external single data sources or large data and artificial intelligence and other technologies can return complex operation results to a user in a standard attribute value mode.

Example four:

in order to simultaneously meet the requirements of high flexibility, high complexity, high integration and mass data storage, referring to fig. 5, a fourth embodiment of the present invention provides a data storage and access method in a city information model, where the method includes:

(1) in the design of the invention, a storage system of core metadata and incidence relation data of a city information model is constructed by using a Graph Database (Graph Database) form.

(2) Storing the basic metadata of all object entities in the city information model and the incidence relation between all the object entities in a core metadata and incidence relation data storage system.

(3) Storing attribute set definition (DatasetDef) in a core metadata and association relation data storage system to express connection information between all objects in the city information model and external multi-source heterogeneous data sources.

(4) And when the basic metadata information access and incidence relation analysis are carried out on the object entities of the city information model, the core metadata and incidence relation data storage system is directly operated.

(5) When complex cross-external heterogeneous data source operation is carried out on an object entity of the city information model, attribute set definition (DatasetDef) information required by the cross-data source operation is acquired from a core metadata and association relation data storage system, and data in an external heterogeneous data source is acquired in the form of an access attribute set (Dataset).

Example five:

the fifth embodiment of the present invention relates to a data association and analysis device in a city information model, which is used for realizing data association and analysis of multi-dimensional and multi-association relations among objects in the city information model, and the device comprises:

Example six:

the sixth embodiment of the invention relates to a device for associating multidimensional data in a city information model, which uses a global dimension type definition to represent various service dimensions needing global analysis in the city information model and establishes an association relationship of the multidimensional data, and the device comprises:

Example seven:

the seventh embodiment of the invention relates to a device for realizing multi-source heterogeneous data analysis in a city information model, which comprises:

Example eight:

the eighth embodiment of the invention relates to a data storage and access device in a city information model, which comprises:

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart and block diagrams may represent a unit, module, segment, or portion of code, which comprises one or more computer-executable instructions for implementing the 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. It will also be noted that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The present application is not limited to any specific form of hardware or software combination. In summary, the above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A data association and analysis method in a city information model is used for realizing data association and analysis of multi-dimensional and multi-association relation among objects in the city information model, and is characterized by comprising the following steps:

(5) and realizing data analysis among the objects in the urban information model based on the definition.

2. The method of claim 1, wherein the city information model further comprises attribute type definitions, attribute set definitions, operation sets, and attribute sets, wherein:

3. The method of claim 2, wherein the relationships between the definitions comprise:

4. A method for data association and analysis in a city information model according to any of claims 1-3, wherein the abstract association relationships of different nature and different type between the entity objects comprise: the entity objects are in the spatial containing relationship and the entity objects are in the logical dependency relationship.

5. A method for data association and analysis in a city information model according to any of claims 1-3, characterized in that an arbitrary number of association instances can be included in a city information model, each of said association instances belongs to a specific relationship type definition, each of said association instances has a direction and points to a source entity object and a target entity object.

6. The method according to any one of claims 1 to 3, wherein all the association instances associated with the object type instance are obtained by accessing the object type instance, and further another object entity of the city information model associated therewith by the association instance is obtained.

7. A method for data correlation and analysis in a city information model according to any of claims 1-3, characterized in that the business dimensions comprise time dimensions, space dimensions, regular business dimensions.

8. The method according to claim 7, wherein the using of global dimension type definition to represent each kind of service dimension in the city information model that needs global analysis, and establishing the association relationship of multi-dimensional data comprises:

9. A method for associating multidimensional data in a city information model is characterized in that a global dimension type is used for defining various service dimensions which represent the city information model and need to be subjected to global analysis, and an association relationship of the multidimensional data is established, wherein the method comprises the following steps:

10. A method for realizing multi-source heterogeneous data analysis in a city information model is characterized by comprising the following steps:

11. The method of claim 10, wherein the set of attributes comprises:

12. The method of claim 11, wherein the following types of data sources can be directly mapped as external attribute sets in the city information model for direct access by users, comprising:

data tables in various RMDBS relational database systems;

the data tables or data sets of the monomers in various NOSQL database systems;

memory data in the memory/cache type data storage system;

real-time or historical data in a time sequential database system;

data content in various types of unstructured files.

13. The method of claim 12, wherein in addition to directly defining a single data source in an existing external data system as an external attribute set, a user-defined program data source can be defined in the city information model.

14. A method for storing and accessing data in a city information model, the method comprising:

15. A data association and analysis device in a city information model, which is used for realizing data association and analysis of multi-dimensional and multi-association relation between objects in the city information model, and is characterized in that the device comprises:

16. A device for associating multidimensional data in a city information model is characterized in that the device uses a global dimension type definition to represent various service dimensions which need global analysis in the city information model, and establishes an association relationship of the multidimensional data, and the device comprises:

the global space dimension definition unit is used for defining global dimension type definition representing space dimensions, including defining cities, urban areas, streets and positions, creating corresponding space class global dimension type examples, representing object entity logical relations on the space dimensions by using space inclusion and space adjacency, and establishing incidence relations on the space dimensions for each space class global dimension type example;

17. An apparatus for implementing multi-source heterogeneous data analysis in a city information model, the apparatus comprising:

18. An apparatus for storing and accessing data in a city information model, the apparatus comprising: