CN116010372A

CN116010372A - Space-time data processing system, method, device, equipment, medium and product

Info

Publication number: CN116010372A
Application number: CN202111237718.9A
Authority: CN
Inventors: 孙傲冰; 骆雄辉; 王世清
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2021-10-22
Filing date: 2021-10-22
Publication date: 2023-04-25

Abstract

Embodiments of the present application disclose a spatiotemporal data processing system, method, apparatus, device, medium, and article, the system comprising: an infrastructure layer, a data layer, and a platform layer; the infrastructure layer provides resources required for operation for the data layer and the platform layer; the data layer comprises a space-time database and a plurality of service data layers which are covered on the space-time database by taking the space-time database as a base map, and different service data layers correspond to different using units; the platform layer comprises a service engine pool and a plurality of service platforms established based on the service engine pool and a plurality of service data layers, different service data layers correspond to different service platforms, and the service engine pool provides various service class engines; in the system provided by the application, different using units are respectively corresponding to independent service platforms facing the user, and the different using units can use the data of different service data layers on the basis of sharing the same space-time database based on the respective service platforms.

Description

Space-time data processing system, method, device, equipment, medium and product

Technical Field

The present invention relates to the field of spatiotemporal data processing, and more particularly, to a spatiotemporal data processing system, a data processing method, a data processing apparatus, an electronic device, a computer-readable storage medium, and a computer product.

Background

The space-time data system is an important component of the digital Chinese space-time information database, is a foundation support of the smart city, and strengthens the construction requirement on demonstration application by increasing the technical requirement of knowledge analysis mining so as to comprehensively support the construction of the smart city. The construction of the urban space-time data system requires that the urban information data mining capacity can be increased, valuable information is provided for the masses through the large data systems with different levels of capacity, and the support is provided for daily decisions of the masses.

However, the current space-time data system is generally built separately, specifically, for a single department, the service on the space-time data system cannot be used for data fusion, the service and the data on the system cannot be shared, for example, the space-time data system may be used by a plurality of government commissions in a city, and if modeling is performed separately, the current space-time data system cannot meet the requirements.

Disclosure of Invention

In order to solve the technical problems, embodiments of the present application provide a spatio-temporal data processing system, a data processing method, a data processing apparatus, a data processing device, a computer readable storage medium, and a computer program product, so that different usage units may share the same infrastructure, and different data may be used based on respective service platforms, thereby implementing efficient sharing of resources and flexible control of data access.

Other features and advantages of the present application will be apparent from the following detailed description, or may be learned in part by the practice of the application.

According to one aspect of an embodiment of the present application, there is provided a spatio-temporal data processing system including: an infrastructure layer, a data layer, and a platform layer;

the infrastructure layer is used for providing resources required by operation for the data layer and the platform layer;

the data layer comprises a space-time database and a plurality of service data layers which are covered on the space-time database are built by taking the space-time database as a base map, and different service data layers correspond to different using units;

the platform layer comprises a service engine pool and a plurality of service platforms established based on the service engine pool and the service data layers, different service data layers correspond to different service platforms, and the service engine pool is used for providing various service engines.

In one embodiment of the present application, the infrastructure layer includes a cloud resource pool obtained by pooling resources of an infrastructure hardware by a virtualization technology, where the cloud resource pool is used to provide computing resources, storage resources, and network resources for the data layer and the platform layer.

In one embodiment of the present application, the spatiotemporal database is used for storing basic data according to time sequence, wherein the basic data is obtained through the following steps:

performing space-time identification adding processing on the aggregated space-time data to obtain identification data;

the topological relation among the identification data is established by carrying out data conversion processing on the identification data;

based on the topological relation among the identification data and the space-time identification, carrying out space processing on the identification data after data conversion processing, and taking the obtained data as basic data.

In one embodiment of the present application, the plurality of service data layers form a pyramid structure according to a time sequence, and the plurality of service data layers are obtained by:

classifying the data in the space-time database according to different time sequences of preset data attributes to obtain multi-class service data;

And establishing a plurality of service data layers based on the multi-class service data.

In one embodiment of the present application, each service data layer includes each data set obtained by classifying or marking data included in the service data layer according to rights pertaining to different usage objects corresponding to usage units.

In one embodiment of the present application, the service data layer further includes additional information, where the additional information includes information for displaying data of the service data layer obtained by combining data of the service data layer with service information, and the service information includes at least one of map node information, location service information, and service information.

In one embodiment of the present application, each of the service theme platforms includes a data layer sharing flag, where the data layer sharing flag is used to characterize whether to share data in the service data layer corresponding to itself to other usage units.

According to an aspect of the embodiments of the present application, there is provided a data processing method, applied to a spatio-temporal data processing system as described above, including: acquiring a data query instruction of a use object; determining a business data layer which is suitable for the use object from a platform layer according to the data query instruction; and sending the data in the service data layer to the use object.

According to an aspect of an embodiment of the present application, there is provided a data processing apparatus, including an acquisition module configured to acquire a data query instruction of a use object; the determining module is used for determining a business data layer which is suitable for the use object from platform layers of the space-time data processing system according to the data query instruction; and the sending module is used for sending the data in the service data layer to the use object.

In an embodiment of the present application, the sending module obtains the rights of the usage object; and sending the data set matched with the authority of the use object in the service data layer to the use object.

In an embodiment of the present application, the sending module obtains a sharing instruction corresponding to a sharing flag of a data layer; the sharing instruction carries a service data layer to be shared and a unit to be shared; and sending the service data layer to be shared to the unit to be shared.

According to one aspect of embodiments of the present application, there is provided an electronic device comprising one or more processors; and storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the data processing method interface element rendering method as described above.

According to an aspect of embodiments of the present application, there is provided a computer-readable storage medium having stored thereon computer-readable instructions, which when executed by a processor of a computer, cause the computer to perform a data processing method as described above.

According to an aspect of embodiments of the present application, there is provided a computer program product, which when executed by a processor, implements a data processing method as described above.

In the spatio-temporal data processing system provided by the embodiment of the application, different service data layers correspond to different use units, and the plurality of service platforms are built based on the plurality of service data layers, so that the different use units correspond to independent service platforms facing to the user, and the different use units can use the data of the different service data layers on the basis of sharing the same spatio-temporal database based on the respective service platforms, and further the spatio-temporal data processing system provided by the embodiment of the application can realize efficient sharing of resources and flexible control of data access.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is evident that the figures in the following description are only some embodiments of the present application, from which other figures can be obtained without inventive effort for a person skilled in the art. In the drawings:

FIG. 1 illustrates the basic structure of an exemplary spatiotemporal data processing system;

FIG. 2 illustrates an exemplary smart city architecture;

FIG. 3 is a schematic illustration of one implementation environment to which the present application relates;

FIG. 4 is a schematic diagram of a spatiotemporal data processing system shown in accordance with an exemplary embodiment of the present application;

FIG. 5 is a diagram illustrating a relationship between a spatio-temporal database and a business data layer according to an exemplary embodiment of the present application;

FIG. 6 is a diagram illustrating another spatio-temporal database versus business data layer according to an exemplary embodiment of the present application;

FIG. 7 is a schematic diagram of another spatiotemporal data processing system shown in accordance with an exemplary embodiment of the present application;

FIG. 8 is a schematic diagram of a spatiotemporal data processing system shown in accordance with another exemplary embodiment of the present application;

FIG. 9 is a deployment architecture diagram of an infrastructure layer, shown in an exemplary embodiment of the present application;

FIG. 10 is a diagram of an application architecture shown in an exemplary embodiment of the present application;

FIG. 11 is an architecture diagram of a security system shown in an exemplary embodiment of the present application;

FIG. 12 is a schematic diagram illustrating an association of a spatio-temporal data processing system with other systems according to an exemplary embodiment of the present application;

FIG. 13 is a flow chart illustrating a method of data processing according to an exemplary embodiment of the present application;

FIG. 14 is a flow chart of step S130 in the embodiment shown in FIG. 13 in an exemplary embodiment;

FIG. 15 is a flow chart illustrating a method of data processing according to another exemplary embodiment of the present application;

FIG. 16 is a schematic diagram of a data processing apparatus shown in an exemplary embodiment of the present application;

fig. 17 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the embodiments of the present application.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.

The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.

Also to be described is: reference to "a plurality" in this application means two or more than two. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., a and/or B may represent: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

Herein, abbreviations and key term definitions related to the present application are presented:

A spatiotemporal data processing system: the system is a technical system for acquiring, sensing, storing, processing, sharing, integrating, mining and analyzing and ubiquitous services of data sets such as basic space-time data, public thematic data, real-time sensing data of the Internet of things, characteristic expansion data and the like. Together with supporting environments such as cloud computing environments, policies, standards, mechanisms, etc., the space-time infrastructure is formed by a time-space reference, as shown in fig. 1, fig. 1 is a basic structure of an exemplary space-time data processing system, mainly including space-time big data and a platform.

As shown in fig. 2, fig. 2 illustrates a smart city architecture that includes a perception layer, a network layer, a computing storage facility layer, a public database layer, a public information platform layer, a smart application layer, and a user layer, as well as a institutional security assurance system and a policy standard assurance system. The positions of the space-time data processing system contents in the smart city overall architecture are respectively as follows: the space-time big data is contained in a public database layer, wherein the basic space-time data is the basis of cavitation when other urban big data such as government affairs, civil affairs, operation and perception are carried out; the cloud platform is an important component of a public information platform layer, is a basic supporting platform of other thematic application platforms, and provides support for computing, storage and network capability; the cloud computing environment on which the platform operation service depends is the core of a computing and storage facility layer, and related policy mechanisms, standard specifications and other soft environments are contained in a system security guarantee system and a policy standard guarantee system.

The space-time data processing system is used as an important component of the smart city, is an indispensable basic information resource of the smart city, is a carrier for other information exchange sharing and cooperative application, provides a space-time basis for other information in a four-dimensional environment formed by three-dimensional space and time interleaving, and realizes planning, layout, analysis and decision-making based on the unified space-time basis.

Referring to fig. 3, fig. 3 is a schematic diagram of an implementation environment according to the present application. The implementation environment includes a mobile terminal 10, a spatiotemporal data processing system 20, and communication between the mobile terminal 10 and the spatiotemporal data processing system 20 is via a wired or wireless network.

The spatiotemporal data processing system 20 includes: an infrastructure layer, a data layer, and a platform layer; the infrastructure layer is used for providing resources required by operation for the data layer and the platform layer; the data layer comprises a space-time database and a plurality of service data layers which are covered on the space-time database by taking the space-time database as a base map, and different service data layers correspond to different using units; the platform layer comprises a service engine pool and a plurality of service platforms established based on the service engine pool and a plurality of service data layers, different service data layers correspond to different service platforms, and the service engine pool is used for providing various service engines; the method can realize the efficient sharing of resources and the flexible control of data access, so that the data used by each user is different.

The mobile terminal 10 may be configured to acquire data corresponding to a business data layer in the spatio-temporal data processing system 20 and use the acquired data.

The mobile terminal 10 may be any electronic device capable of being displayed, such as a smart phone, a tablet, a notebook computer, or a computer, and the spatio-temporal data processing system 20 may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers, or may be a cloud server that provides cloud services, a cloud database, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network, content distribution network), and basic cloud computing services such as big data and an artificial intelligent platform, which are not limited in this respect.

As shown in fig. 4, fig. 4 is a spatiotemporal data processing system including an infrastructure layer 210, a data layer 220, and a platform layer 230 according to one embodiment of the present application;

the infrastructure layer 210 is configured to provide resources required for operation to the data layer 220 and the platform layer 230;

the data layer 220 includes a space-time database, and establishes different service data layers corresponding to different usage units of a plurality of service data layers covered on the space-time database by using the space-time database as a base map;

The platform layer 230 includes a service engine pool, and a plurality of service platforms established based on the service engine pool and the service data layer, different service data layers corresponding to different service platforms, wherein the service engine pool is used for providing various service class engines.

In one example of the present application, the infrastructure layer 210 adopts a cloud computing structure to provide resources required for operation for the data layer 220 and the platform layer 230, and it is understood that the resources required for operation for the data layer 220 and the platform layer 230 may be the same or different; for example, resources required by the data layer 220 to operate include computing resources, data storage resources, etc., and resources required by the platform layer 230 to operate include data storage resources, network resources, etc.

In one example of the present application, the infrastructure layer 210 includes a cloud resource pool obtained by pooling resources of an infrastructure hardware facility through a virtualization technology, where the cloud resource pool is used to provide computing resources, storage resources, and network resources for the data layer 220 and the platform layer 230; the method comprises the steps that an infrastructure hardware facility comprises a server, a storage device, a network device, a security device and the like, virtualization is a software technology for resource mapping and management logic, an Internet technology (Internet Technology, IT) resource is divided and mapped into logic resources by using a software method, specifically, the hardware resource is virtualized to form a resource pool, and isolation, expandability, full utilization, security, common calculation, shared resources and the like of the resource are realized; the network resources are embodied as the possessed network bandwidth and are used for meeting the requirements of communication between the inside and the outside of the system, dynamic migration of resources in a resource pool and network security; network resources include, but are not limited to, virtual network cards, switches, firewalls, and the like; the storage resource is embodied as a storage space which is owned and used for storing data; the computing resources are embodied as central processing units (central processing unit, CPU) computing power for providing computing power for a plurality of computing environments, such as the computing resources including CPU computing resources.

The infrastructure layer 210 includes an infrastructure and a cloud operating system, where the cloud operating system is, for example, fusionSphere, fusionCompute, cloud operating system base software, and mainly consists of a virtualized base platform and a cloud base service platform, and is mainly responsible for virtualization of the infrastructure and centralized management of virtual resources, service resources, and user resources; the method adopts the technologies of virtual computing, virtual storage, virtual network and the like to complete the virtualization of computing resources, storage resources and network resources and establish a cloud resource pool; and simultaneously, the virtual resources are centrally scheduled and managed through a unified interface.

In one example of the present application, the data layer 220 is configured to provide data, where the data layer 220 includes a sharable unified spatiotemporal database that includes spatiotemporal data and is sharable; such as a spatiotemporal database including historical and current basic geographic information data, historical and current public thematic data, intelligent perceived real-time data and space planning data. The basic geographic information data comprise vector data, image data, geographic entity data, place name address data and the like; public thematic data comprises population data, macro economic data, legal data, civil interest point data and the like; the real-time data comprise basic space-time data obtained in real time by adopting an air, day and ground integrated earth observation sensing network, sharable industry thematic real-time data perceived by a professional sensor and the like, and the space planning data comprise data which are grabbed by adopting a web crawler and other technologies through the Internet. It should be understood that the representation of the spatiotemporal data may be text, pictures, images, etc., and is not limited herein.

In this embodiment, the spatio-temporal database is used to store basic data according to a time sequence, where the basic data is obtained by the following steps: performing space-time identification adding processing on the aggregated space-time data to obtain identification data; the topological relation among the identification data is established by carrying out data conversion processing on the identification data; based on the topological relation and space-time identification among the identification data, the identification data after data conversion processing is subjected to space processing, and the obtained data is used as basic data.

The space-time data can be collected from other systems, such as the space-time data is obtained through online exchange of a government service platform, a digital city geographic information public platform and a real estate registration information platform and collected; the space-time data can be obtained and collected from the Internet; the spatiotemporal data may also be copied offline periodically from the data areas sharable by the relevant departments.

After various data are collected, space-time identification is injected into the space-time data, wherein the space-time identification comprises time, space and attribute identification, the time of the time identification marks the timeliness of the data, the space identification marks the space characteristics (such as space position coordinates and place name addresses) of the data, and the attribute identification marks the affiliated field, industry, theme and the like; and injecting space-time identification into the space-time data so as to facilitate the arrangement and sequencing of the subsequent space-time data.

Adding space-time identification of space-time data, and after obtaining identification data, carrying out data conversion processing on the identification data, wherein the data conversion processing is used for realizing the target of lossless conversion of the data and completing the work of establishing the topological relation of the data in the conversion process; the topological relationships between the identification data include adjacency, association, inclusion and connectivity relationships between the identification data; wherein the data conversion process includes: unifying data formats, merging and automatically splicing the data with unified formats, and inputting the data with unified formats into a unified coordinate system for coordinate conversion, so that seamless splicing of the data is facilitated; and for the data partially updated in the identification data, map synthesis is carried out on the updated data in a coordinate system, and range data corresponding to the geographic data is updated to realize consistency processing.

Illustratively, the spatialization process includes matching the data with the map to realize the mapping of the data; the spatial processing of the identification data after the data conversion according to the topological relation and the space-time identification between the identification data comprises the following steps: for the data with the space identifier, carrying out data matching on the graph according to the topological relation, such as adjacent relation, association relation, inclusion relation and communication relation, between the data, and determining the space coordinate, namely the geographic space position, of the data; for data without space identification, drawing on a map according to the topological relation among the data by means of auxiliary reference data such as an electronic map, an image map and the like, and determining the space coordinates of the data; if the data 1 has a space identifier, the data 2 has a time identifier, and the topological relation between the data 1 and the data 2 is a communication relation, the position of the data 2 can be determined by means of an electronic map, and then plotting is carried out on the map; for example, the data 3 is provided with an attribute identifier, the location name address information is extracted based on the topic identification of the attribute identifier through the image map, a logic combination relation containing the location name identifier is established, the overlapping point of the topology relation and the logic combination relation is used as the position of the data 3 based on the topology relation between the data 3 and other data, the data 3 and the data 1 are contained relations, the logic combination relation of the data 3 is that the data 3 is located at a certain position in the data 1, the data 3 is adjacent to the data 4, and the like, and the overlapping point is that the data 3 is located at a certain position in the data 1, so that the position of the data 3 can be located.

After the converted identification data is spatially processed, each data has a geospatial position, the data with the geospatial position is used as basic data, and the basic time of different time areas is sequentially stored in a unified database according to a space-time reference, so that a space-time database is obtained.

In this embodiment, the step of obtaining the base data may be performed by the data layer 220, where the data layer 220 further includes a data processing module, and the data processing module performs the above steps to obtain the base data.

In one example of the present application, the data layer 220 further includes creating a plurality of business data layers based on the spatiotemporal database, the business data layers being for specific usage units, the business data layers being business databases containing data of a certain business attribute, the business data layers including data of a certain business attribute.

Illustratively, the plurality of business data layers form a pyramid structure according to a time sequence, and the plurality of business data layers are obtained through the following steps: classifying the data in the space-time database according to different sequences of preset data attributes to obtain multi-class business data; establishing a plurality of service data layers based on the multi-class service data; each service data layer may form each layer of pyramid structure, for example, as shown in fig. 5, classifying data in the time database in different social forms to obtain a service data layer a, a service data layer B and a service data layer C, where the data of the time-space database includes data of the service data layer a, data of the service data layer B and data of the service data layer C, the data of the service data layer C includes data of the service data layer a and data of the service data layer B, and the data of the service data layer B includes data of the service data layer a; the space-time database is the bottommost layer of the pyramid, the business data layer C is the upper layer of the bottommost layer, the business data layer B is the upper layer of the business data layer, and the business data layer A is the upper layer of the business data layer B, namely the uppermost layer of the pyramid; the data of the service data layer is reduced in each upper layer.

In this embodiment, the step of obtaining the service data layer may be performed by the data layer 220, and the data processing module of the data layer 220 performs the above steps to obtain the service data layer.

In another exemplary embodiment, a plurality of service data layers covering the space-time database are built by taking the space-time database as a base map, or data in the space-time database can be classified according to different service attributes to obtain service data, each service data layer is built based on the service data, and each service data layer is located on the space-time database; as shown in fig. 6, the data in the space-time database are classified by the urban management, environmental protection and homeland attributes, so that the urban management data layer a, the environmental protection data layer b and the homeland attribute data layer c are all positioned on the space-time database d, and the urban management data layer a, the environmental protection data layer b and the homeland attribute data layer c are not overlapped with each other.

In this embodiment, different service data layers correspond to different usage units, so that the corresponding usage units can use the data of the respective corresponding service data layers subsequently; in which, a usage unit corresponds to a service data layer, as in fig. 5, a usage unit a corresponds to a service data layer a; one usage unit may correspond to a plurality of service data layers, and as shown in fig. 6, a usage unit a corresponds to a service data layer a and a service data layer b.

It should be noted that, each service data layer in this embodiment includes each data set obtained by performing class collection or marking on the data included in the service data layer according to the rights of different usage objects belonging to the usage units; namely, different use objects belonging to the same use unit have respective corresponding rights, and the data contained in the service data layer is classified or marked according to the respective rights of the use objects to obtain a data set corresponding to the rights of each use object; for example, if the user a, the user b, and the user c using the unit a have different rights, the right of the user a is to view the data corresponding to the data type 1 in the service data layer a corresponding to the unit a, the right of the user b is to view the data corresponding to the data type 2 in the service data layer a, and the right of the user c is to view the data corresponding to the data type 3 in the service data layer a, the data included in the service data layer a may be classified into a data set 1, a data set 2, and a data set 3, where the data set 1 includes the data of all the data types 1, the data set 2 includes the data of all the data types 2, and the data set 3 includes the data of all the data types 3, so that different usage objects of the same unit may view different data based on the same service data layer.

In this embodiment, the service data layer further includes additional information, where the additional information is information for displaying data of the service data layer obtained by combining data of the service data layer with service information, and the service information includes at least one of map node information, location service information, and service information. Different display effects are formed by combining the additional information with the data contained in the business data layer.

The map node information at least comprises map node position information, such as position information of nodes in Shenzhen city and Guangzhou city; the location service (Location Based Services, LBS) is a value added service provided by combining a mobile communication network and a satellite positioning system, LBS information includes spatial information, social information and information query, the spatial information is the location information of a mobile terminal, the social information is path navigation information, and the information query can query the nearby provided resources; the business service information is service information provided by other business systems, such as real platform information (e.g. real scene, three-dimensional scene, etc.), business district service information (e.g. food and parking service provided by business district), etc.

Because the space-time data is data with time and space dimensions, the business data layer and the additional information are combined on the map, for example, the business data layer and the additional information are combined with Shenzhen city node information, and the Shenzhen city node is passed through a popup window, so that the change of the space-time data in Shenzhen city can be displayed on the map; for example, business district service information, LBS information and Shenzhen city geographic business district are combined, and space-time data of the geographic business district, services provided by the business district, resources provided by the business district and the like are displayed on a map.

In one example of the present application, the platform layer 230 includes a plurality of service platforms for providing services for usage units, where the service platforms exchange information between various service engines depending on a service engine pool and a service data layer, provide data support for various service applications of the service platforms as required, and the service engines are further used for providing interfaces for various services.

The service engine pool includes, but is not limited to, a data engine, a service engine, a place and address engine, a traffic flow engine, and a knowledge engine; wherein the data engine: supporting high concurrency access of data, realizing high-efficiency analysis, processing and large data volume integrated management, and helping users to access data of the data layer 220 online; service engine: various services of different systems are managed, a unified service interface is provided for the outside, the functions of supporting online calling of the existing services and knowledge, uploading, registering and publishing of other resources and the like are realized, and the functions of service authentication, service routing, log reading and writing, authority control and the like are realized; the place address engine is used for realizing accurate positioning of data, such as matching incomplete addresses and irregular addresses, positioning, matching address aliases and the like; the business flow engine is used for representing the work in the business flow by a proper model according to logic and rules and planning the implementation of the work flow engine so as to realize the automatic processing of the work business; knowledge engines are used to provide analysis basis and support for decisions through big data analysis tools, such as multidimensional databases and online analytical processing (Online Analytical Processing, OLAP) tools.

The platform layer 230 further includes a service resource pool, and various service engines of the service engine pool in this embodiment are established based on the service resource pool; the service resource pool is used to provide the required services for different business data layers, such as data services, functional services, interface services, infrastructure services and knowledge services.

Wherein the data service: providing a service for acquiring and using data by a user; interface service: providing application program interfaces (e.g., map class API (Application Programming Interface, application program interface), event class API, etc.); the functional services include: map necessary selecting module (at least including registration authentication, login authentication, authority authentication, etc.), map optional module (at least including service loading, etc.), map professional module (at least including security processing, coordinate conversion, projection conversion, etc.), and other non-map type functional services (service access log collection and analysis, user registration audit, message notification, etc.); infrastructure services: services paid by using infrastructure such as computing resources, storage resources, network resources and the like acquired by units through a space-time data processing system; knowledge service: the rules and implicit relations of the data such as the spatial-temporal distribution rules, association rules, spatial-temporal evolution and the like of thematic information formed by big data analysis are pooled into knowledge services;

It should be noted that each service platform includes a data layer sharing flag, where the data layer sharing flag is used to characterize whether to share data of a service data layer corresponding to itself to other usage units, that is, a usage unit may share data of a service data layer corresponding to itself to other usage units, specifically, operate the data layer sharing flag on the service platform, for example, select the data layer sharing flag, and share data of the service data layer to other usage units.

It can be appreciated that, since the usage unit may correspond to one service data layer or may correspond to a plurality of service data layers, the data layer sharing flag may also characterize which service data layer is specifically shared when sharing its own corresponding service data layer to other usage units. For example, the client a has 21 service data layers, and data of 10 service data layers can be shared with the client B by the data layer sharing flag.

For ease of understanding, the present embodiment is described in terms of a more specific spatio-temporal data processing system. As shown in fig. 7 and 8, fig. 7 shows a schematic diagram of a more specific spatiotemporal data processing system, and fig. 8 shows a schematic diagram of another spatiotemporal data processing system; the space-time data processing system comprises an infrastructure layer, a data layer, a platform layer and an application layer; the data layer, the platform layer and the application layer operate on a supporting cloud environment provided by the infrastructure layer, and a service platform of the platform layer exchanges information with the data layer through a service engine.

Infrastructure layer: and (3) adopting a cloud architecture of distributed storage, logic centralized and one-stop service, and based on a virtualization technology, pooling resources of an infrastructure hardware facility, and establishing a unified computing resource pool, a data storage pool and a network resource pool to form a cloud environment center for supporting the operation of the space-time data platform.

Specifically, as shown in fig. 9, fig. 9 shows a deployment architecture diagram of an infrastructure layer, where the infrastructure layer includes hardware facilities, such as a machine room, a server, a network device, and the like, where all the hardware facilities are designed as redundancy, and high reliability of a physical layer is achieved through a cluster and stacking manner. The infrastructure layer adopts cloud computing to integrate computing resources of a plurality of physical servers, creates a plurality of different virtual servers, deploys different operating systems, deploys different service systems, and logically isolates each virtual server. When a user has a new service requirement, the user does not need to purchase new hardware, only needs to create a virtual machine on a certain physical machine and allocate the required hardware resources, then utilizes a virtual server template to deploy an operating system, and installs new service application to be online. The virtual server comprises a department and a central front-end server, so as to provide sharing exchange of space-time information data and business thematic data; the system comprises a file server, a map slicing server and a data sorting and managing server, wherein the file server, the map slicing server and the data sorting and managing server are used for data management; web servers and geographic information system (Geographic Information System or Geo-Information system, GIS) servers to increase the resources required to use an object.

For one example, the infrastructure layer may be divided into: the space-time information exchange pre-region, the space-time cloud production region, the space-time cloud data management region and the isolation region (demilitarized zone, DMZ) are four logic regions. A server is deployed in the space-time information exchange front-end area as a department and center front-end server to provide shared exchange of space-time information data and business thematic data. A file server, a map slicing server and a data sorting and managing server are deployed in the space-time cloud data management area so as to provide diversified data management. A Web server and a GIS server which are required by providing public service are deployed in the DMZ zone; the servers are interconnected by a gigabit network. The server cluster and the storage device cluster can be horizontally expanded as required under the action of cloud base resource management software.

In an exemplary embodiment, the space-time cloud production area is a dual-active storage architecture, and storage device type selection is required to simultaneously provide block storage and file storage services in consideration of service diversification, for example, the space-time cloud production area is deployed with two storage switches and storage pools.

The data layer comprises a space-time database, as shown in fig. 7, wherein the space-time data of the space-time database comprises historical and current basic geographic data, historical and current public thematic data, intelligent perception real-time data, homeland related data and planning related data, specifically the historical and current basic geographic information data, historical and current public thematic data, intelligent perception real-time data, space planning data and the like, and after aggregation and space treatment, the space-time data is stored in the database according to time sequence under a unified space-time reference frame system based on a unified database standard rule to obtain the space-time database; and a full-space information model is built through a data engine so as to support high concurrency access (including reading and writing) of data, and integrated management of large data in the ground, the outdoors, virtual and real time and space is realized.

In this embodiment, the data layer further includes a service data layer, and the service data layer is located above the spatio-temporal database; specifically, each usage unit can build different service data layers respectively: different using units share a unified space-time database as a base map, and self-building respective business data layers; the data of the service data layer can be authorized in a unified label/class set mode, so that different users/departments of the using unit can see different data based on the same service data layer, and further the users can inquire and position based on keywords and the like; the data visible to different users is different, as is the result of the query.

In this embodiment, each service data layer further includes additional information, where the additional information is information obtained by combining data of the service data layer with service information and used for displaying the data of the service data layer, and the service information includes at least one of map node information, location service information and service information, that is, different display effects of the service data layer are formed by different additional information.

The platform layer comprises a service resource pool and a service engine pool; taking data service, function service, interface service, infrastructure service and knowledge service as cores to form a service resource pool and establish a service engine pool; the service engine pool comprises a data engine, a service engine, a place address engine, a service flow engine and a knowledge engine; in this embodiment, the platform layer further includes a plurality of service platforms, where the service platforms are established based on the service engine pool and the service data layer; and a plurality of service platforms face different using units to form a plurality of virtual service platforms on an actual basic platform. The service platform can perform information interaction with data of the data layer through the data engine, and can provide data service, interface service, function service and calculation storage service for the application layer through the service engine, the place and address engine, the service flow engine and the knowledge engine.

The application layer is used for providing unified portals, online map services and personalized customization, and supporting various intelligent applications of government construction, enterprises and public by combining application requirements of various fields of various industries, such as intelligent homeland, intelligent city management, intelligent environmental protection and the like; application support services, data services, interface services, functional services, knowledge services, and computing storage services are provided for government agencies, enterprises, and public services.

By interfacing with the platform layer, each job use unit can pertinently select corresponding space-time information service and integrate the space-time information service into the application according to respective informatization degree, GIS informatization construction degree and practical application requirements, repeated development and construction of space-time information resources are avoided, each job department can concentrate on development of each business application, and therefore the platform layer can fully play a role of supporting the application for users by relying on infrastructure; as shown in fig. 10, by selecting the data service, the interface service, and the computing and storing service to integrate into the intelligent farmland management application, the real property and status management application, etc., the online service of the integrated application system such as intelligent farmland management, real property and status management, homeland space planning, comprehensive law enforcement management, etc., will call the relevant service of the business platform and the secondary development interface, and complete the function development and the integration between the modules.

An exemplary spatiotemporal data processing system further includes a security system for ensuring security of the spatiotemporal data processing system, as shown in fig. 11, the security system including a network sub-security system, a system sub-security system, a data sub-security system, a security management sub-security system, and an operation and maintenance management sub-security system; the network sub-security system comprises network environment division, a firewall system, a monitoring and intrusion prevention system, a vulnerability scanning system and security audit; the system subsystem comprises system backup and recovery, system log and identity verification and authority; the data subsystem comprises data backup and recovery, data encryption and data decryption; the safety management subsystem comprises a safety management system, personnel management and safety organization, and the operation and maintenance management subsystem comprises a management mechanism and a daily operation management system.

In this embodiment, the spatiotemporal data processing system includes sharing a unified infrastructure layer, sharing a unified spatiotemporal database; through a cloud mode, the cloud resource of a unified space-time data processing system is shared by each commission office in one city, a unified public space-time database is shared, and each use unit can be upgraded for sharing at one place; the space-time data processing system also comprises self-built different service data layers, a plurality of virtual service platforms on an actual basic platform can be formed based on the different service data layers, the different service data layers are covered on the space-time database to form flexible control of visible data of each user, and different users can see different service data layers and data sets according to authority to form different showing effects.

It should be understood that the spatio-temporal data processing system may also interact with other systems, as shown in fig. 12, such as a government service platform, a digital city geographic information public platform, a real estate registration information platform, and an application system that needs to access the platform; after the space-time data processing system and the government service platform mutually perform identity authentication, the space-time data processing system and the government service platform are mutually accessed to provide corresponding services, such as interface service, data service and the like.

Relationship of spatiotemporal data processing system to municipality service and big data management: the space-time data processing system can perform cloud processing to provide cloud service for municipal service and big data management bureau; meanwhile, the municipal administration service and big data management bureau can provide government administration data and basic geographic data, such as government administration data and services of population, legal person, macroscopic economy and the like, for the space-time data processing system.

Relationship between the spatiotemporal data processing system and the real estate registration information platform: real estate registration information related to a space-time data processing system needs to provide access service through a city real estate registration information platform. Relationship of spatiotemporal data processing system to urban digital urban geospatial framework: the space-time data processing system can fully utilize the urban digital urban geographic space frame basic network, and meanwhile, urban digital urban geographic space information can also be used as the cloud end of a space-time big data center to provide basic data service for the space-time data processing system.

Relationship of the spatiotemporal data processing system to other application systems: the space-time data processing system can be an application management system for intelligent farmland management, real property book management, national space planning, monitoring and evaluation, comprehensive law enforcement management and the like, provides application support for space-time information data, interfaces, functional services and the like, and can also register sharable thematic data formed by each business system to the space-time data processing system to realize sharing of the thematic data.

It can be understood that, in the spatio-temporal data processing system of this embodiment, the spatio-temporal data of the spatio-temporal database may be obtained and collected from a government service platform, a digital city geographic information public platform, and a real estate registration information platform.

Referring now to fig. 13, fig. 13 is a flowchart illustrating a method of data processing according to an exemplary embodiment. The method may be applied to the implementation environment shown in fig. 3 and is specifically performed by a spatio-temporal data processing system in the embodiment environment shown in fig. 3. The data processing method may include steps S110 to S130, which are described in detail as follows:

s110, acquiring a data query instruction of the use object.

In this embodiment, the use object may be a terminal that the user uses correspondingly, and the use object sends a data query instruction to the spatio-temporal data processing system, so that the spatio-temporal data processing system receives the data query instruction of the use object, where the data query instruction is used to query data of the spatio-temporal data processing system; in another example, the usage object is a user, and the user operates directly on the spatiotemporal data processing system, which in turn triggers the data query instruction based on the operation. The data query command may be, but not limited to, a single click command, a double click command, a long press command, a heavy press command, a sliding command, a voice command, etc.

S120, determining a business data layer which is suitable for the use object from the platform layer according to the data query instruction.

In this embodiment, since the platform layer includes the service engine pool and a plurality of service platforms established based on the service engine pool and the service data image layer, after the platform layer obtains the data query instruction through the engine of the service engine pool, the service platform adapted to the application object to which the data query instruction belongs is matched from the platform layer, so as to determine the service data image layer adapted to the application object.

S130, sending data in the business data layer to the using object.

The service data layer comprises data with certain attribute, and after the service data layer is determined, the data in the service data layer is sent to the use object.

Illustratively, when the data query instruction includes a queried keyword, then target data corresponding to the keyword is queried from data in the business data layer based on the keyword, and the target data is sent to the use object.

In the present embodiment, fig. 14 is a flowchart of step S130 in the embodiment shown in fig. 13 in an exemplary embodiment. As shown in fig. 14, the process of transmitting data in the service data layer to the usage object includes steps S131 to S132, which are described in detail as follows:

S131, acquiring the permission of the use object.

Different use objects of the same use unit have different rights for restricting the use of data by the use objects; the rights of the use object may be preconfigured by a manager of the use unit, and if the login account of the use object is bound with the configured rights, the rights of the use object may be acquired through the login account.

S132, sending the data set matched with the authority of the use object in the service data layer to the use object.

Since the service data layer includes the data sets obtained by classifying or marking the data included in the service data layer according to the rights of different usage objects belonging to the usage units, it is possible to determine which data sets can be used by the usage objects by using the rights of the objects. For example, the rights to use object 1 correspond to data set 1, data set 1 is sent to the use object.

By controlling the available data of different usage objects using the rights of the objects, flexibility in data usage is provided.

In the present embodiment, fig. 15 is a flowchart in an exemplary embodiment after step S120 in the embodiment shown in fig. 13. As shown in fig. 15, the method further includes steps S141 to S142 after determining the service data layer adapted to the usage object, which are described in detail as follows:

S141, acquiring a sharing instruction corresponding to the sharing mark of the data layer.

In this embodiment, since each service platform includes a data layer sharing flag, the user object may click on the selected data layer sharing flag, and further the spatio-temporal data processing system may obtain a sharing instruction corresponding to the data layer flag, where the data layer sharing flag is used to indicate whether to share data of the service data layer corresponding to the user entity with other user entities, and the corresponding sharing instruction is used to indicate that the data layer sharing flag is triggered, so as to implement sharing of the data.

The sharing instruction carries a service data layer to be shared and a unit to be shared; i.e. which business data layer to share, to whom the business data layer to share. Wherein the service data layer to be shared and the usage unit to be shared can be determined by the usage object; or according to the contact list of the unit to which the use object belongs; for example, the unit to which the object belongs is the department a, the department B makes business with the portion a, and if the department B is in the contact list of the department a, the business data layer to be shared is the data layer of the portion making business with the portion a.

S142, sending the service data layer to be shared to the unit to be shared.

Because the shared instruction writes the to-be-shared service data layer and the to-be-shared use unit, the to-be-shared service data layer can be immediately sent to the to-be-shared use unit after the shared instruction is acquired; in an example, the sharing instruction further carries a sending time, and further, the service data layer to be shared can be sent to the usage unit to be shared at regular time according to the sending time.

The device embodiments of the present application are described and may be used to perform the data processing method in the foregoing embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the data processing method described in the present application.

FIG. 16 illustrates a block diagram of a data processing apparatus, which may be one of the space-time data processing systems, including an acquisition module 1610, a determination module 1620, a transmission module 1630, according to one embodiment of the present application;

an acquisition module 1610, acquiring a data query instruction of a usage object;

a determining module 1620 for determining a service data layer which is suitable for the use object from the platform layers according to the data query instruction;

The transmitting module 1630 transmits the data of the service data layer to the usage object.

In one embodiment of the present application, based on the foregoing scheme, the sending module 1630 is configured to obtain rights to use the object; and sending the data set matched with the authority of the use object in the service data layer to the use object.

In one embodiment of the present application, based on the foregoing solution, the sending module 1630 is configured to obtain a sharing instruction corresponding to the data layer sharing flag; the sharing instruction carries a service data layer to be shared and a unit to be shared; and sending the service data layer to be shared to the service data layer to be shared according to the service data layer to be shared and the service unit to be shared carried by the sharing instruction.

It should be noted that, the apparatus provided in the foregoing embodiments and the method provided in the foregoing embodiments belong to the same concept, and the specific manner in which each module and unit perform the operation has been described in detail in the method embodiments, which is not repeated herein.

Embodiments of the present application also provide an electronic device including one or more processors, and a storage device, where the storage device is configured to store one or more programs that, when executed by the one or more processors, cause the electronic device to implement a data processing method as described above.

It should be noted that, the computer system 1700 of the electronic device shown in fig. 17 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.

As shown in fig. 17, the computer system 1700 includes a central processing unit (Central Processing Unit, CPU) 1701, which can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 1702 or a program loaded from a storage portion 1708 into a random access Memory (Random Access Memory, RAM) 1703. In the RAM 1703, various programs and data required for system operation are also stored. The CPU 1701, ROM 1702, and RAM 1703 are connected to each other through a bus 1704. An Input/Output (I/O) interface 1705 is also connected to the bus 1704.

The following components are connected to the I/O interface 1705: an input section 1706 including a keyboard, a mouse, and the like; an output portion 1707 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and a speaker, etc.; a storage portion 1708 including a hard disk or the like; and a communication section 1709 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 1709 performs communication processing via a network such as the internet. The driver 1710 is also connected to the I/O interface 1705 as needed. A removable medium 1711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on the drive 1710 so that a computer program read therefrom is installed into the storage portion 1708 as needed.

In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via the communication portion 1709, and/or installed from the removable media 1711. When executed by a Central Processing Unit (CPU) 1701, performs the various functions defined in the system of the present application.

It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.

Another aspect of the present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment or may exist alone without being incorporated in the electronic device.

Another aspect of the present application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions to cause the computer device to perform the methods provided in the various embodiments described above.

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit, in accordance with embodiments of the present application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains.

The foregoing is merely a preferred exemplary embodiment of the present application and is not intended to limit the embodiments of the present application, and those skilled in the art may make various changes and modifications according to the main concept and spirit of the present application, so that the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A spatio-temporal data processing system, comprising: an infrastructure layer, a data layer, and a platform layer;

2. The spatiotemporal data processing system of claim 1, wherein the infrastructure layer comprises a cloud resource pool obtained by pooling resources of an infrastructure hardware by a virtualization technique, the cloud resource pool being used to provide computing resources, storage resources, and network resources for the data layer and platform layer.

3. The spatiotemporal data processing system of claim 1, wherein the spatiotemporal database is used for storing base data according to time sequence, the base data obtained by:

4. The spatiotemporal data processing system of claim 3, wherein the plurality of business data layers form a pyramid structure according to time sequence, and the plurality of business data layers are obtained by:

5. The spatiotemporal data processing system of claim 1, wherein each business data layer comprises a data set obtained by classifying or marking data contained in the business data layer according to rights attached to different usage objects corresponding to usage units.

6. The spatiotemporal data processing system of claim 1, wherein each business data layer comprises additional information including information for displaying business data layer data obtained by combining data of the business data layer with business information including at least one of map node information, location service information, and business service information.

7. The system of any of claims 1-6, wherein each of the service topic platforms includes a data layer sharing flag that characterizes whether to share data in its own corresponding service data layer to other usage units.

8. A data processing method, characterized in that the method is applied to the spatio-temporal data processing system of any of claims 1 to 7, the method comprising:

acquiring a data query instruction of a use object;

determining a business data layer which is suitable for the use object from a platform layer according to the data query instruction;

and sending the data in the service data layer to the use object.

9. The data processing method according to claim 8, wherein the sending the data of the service data layer to the usage object includes:

acquiring the authority of the use object;

and sending the data set matched with the authority of the use object in the service data layer to the use object.

10. The data processing method according to claim 8, wherein after said determining a business data layer compatible with said usage object from among the platform layers according to said data query instruction, said method further comprises:

Acquiring a sharing instruction corresponding to the sharing mark of the data layer; the sharing instruction carries a service data layer to be shared and a unit to be shared;

and sending the service data layer to be shared to the unit to be shared.

11. A data processing apparatus, comprising:

the acquisition module is used for acquiring a data query instruction of the use object;

the determining module is used for determining a business data layer which is suitable for the use object from platform layers of the space-time data processing system according to the data query instruction;

and the sending module is used for sending the data in the service data layer to the use object.

12. The data processing apparatus according to claim 11, wherein the sending module is configured to obtain rights of the usage object, and send, to the usage object, a data set in the service data layer that matches the rights of the usage object.

13. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the method of any of claims 8-10.

14. A computer readable storage medium having stored thereon computer readable instructions which, when executed by a processor of a computer, cause the computer to perform the method of any of claims 8-10.

15. A computer program product comprising computer instructions which, when executed by a processor, implement the method of any of claims 8-10.