CN115114268A

CN115114268A - Tissue future state twinning method, device and equipment

Info

Publication number: CN115114268A
Application number: CN202210769207.XA
Authority: CN
Inventors: 林伟
Original assignee: Beijing Wellintech Co Ltd
Current assignee: Beijing Wellintech Co Ltd
Priority date: 2022-06-30
Filing date: 2022-06-30
Publication date: 2022-09-27
Anticipated expiration: 2042-06-30
Also published as: CN115114268B

Abstract

The application provides a tissue future state twinning method, a device and equipment, wherein the method comprises the following steps: constructing a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization; setting the time attribute of the target plan organization model and the sub-plan organization model as future time; and establishing an incidence relation between the target plan organization model and the sub-plan organization model. By the method, different data structure models do not need to be constructed for different tissues, multi-tissue twinning can be realized, and digital twinning can be performed on the state of the tissue in different time periods in the future.

Description

Tissue future state twinning method, device and equipment

Technical Field

The application relates to the technical field of information, in particular to a tissue future state twinning method, a tissue future state twinning device and tissue future state twinning equipment.

Background

With the continuous improvement of the digitization and the automation degree of the internet of things, a Digital Twin technology (abbreviated as DT) is one of subversive technologies which are improved for many times and have huge development, and the heat is continuously improved, so that the Digital Twin technology is considered as one of the key technologies for interconnecting everything.

The digital twin is not only a mirror image of the physical world, but also receives real-time information of the physical world, and in turn drives the physical world in real time, and evolves to be a precedent, a precedent and even a superbody of the physical world. The growth and development of the digital twin body go through several processes of digitalization, interaction, foreknowledge, inspiration, joint intelligence and the like, wherein the digitalization is a process of digitalizing the physical world, and the process needs to express a physical object as a digital model which can be recognized by a computer and a network. The modeling technology is one of the core technologies of digitization, such as mapping scanning, geometric modeling, grid modeling, system modeling, process modeling, tissue modeling, and the like.

In the industrial field, human elements in the five elements of human, machine, material, law and ring have complex relationships, and people may belong to different organizations, wherein the organizations may be different companies, different departments of the same company, different teams of the same department and the like, and are all called as organizations. For example, a simple workflow directly selects a specific user, but a large enterprise or a group has many personnel, an administrator cannot identify all users, and when the personnel change, the flow needs to be adjusted repeatedly, which brings extra workload; for example, if it is troublesome to distribute management such as management of authority of a person, it is necessary to manage by an organization or the like. The enterprise is an organization, and the problem of too coarse business management granularity exists according to the definition of the entity organization. In addition, different business systems exist in different independent organization types, and have different descriptions and purposes. The organization is a carrier of functions, all the functions are implemented through organization mechanisms and activities thereof, whether the organization structure is clear or not and whether the hierarchical relation is clear or not are performed, and the organization plays a great role in the operation of the whole organization. Therefore, the twinning of different tissues is also very important, and there is no single twinning of tissues in the field of digital twinning at present.

Disclosure of Invention

In order to solve the problem that the tissue is not twinned independently in the field of digital twinning at present, the application provides a tissue future state twinning method, device and equipment.

In a first aspect the present application provides a method of tissue future state twinning, the method comprising:

constructing a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization, the target plan organization model and the sub-plan organization model including a temporal attribute;

setting the time attributes of the target plan organization model and the sub-plan organization model as future time;

and establishing an incidence relation between the target plan organization model and the sub-plan organization model.

In one possible embodiment, the future time is a future time when the future target plan organization and the sub-plan organization change in the future or a time when the future change occurs last time.

In one possible embodiment, the associating the target planning tissue model with the sub-planning tissue model includes:

and establishing a parent-child relationship between the target plan organization model and the child plan organization model by identifying the target plan organization model as a target plan organization model of a parent organization and identifying the child plan organization model as a child plan organization model belonging to the parent organization.

In one possible implementation, identifying the child plan organization model as a child plan organization model belonging to the parent organization includes:

identifying the child plan organizational model as a child plan organizational model belonging to a unique parent organization.

In one possible embodiment, the target plan organizational model and the sub-plan organizational model further include spatial attributes;

the spatial attribute includes at least one of a spatial extent and a spatial location.

In one possible implementation, the spatial attribute is used to describe a space in which the target plan organization or the sub-plan organization is located;

the spatial position is used for describing the spatial position of the target plan organization or the sub-plan organization.

In one possible embodiment, establishing a parent-child relationship between the target plan organization model and the child plan organization model includes:

and determining the spatial attributes of the sub-plan organization model as the object identification of the target plan organization model, and establishing a parent-child relationship between the target plan organization model and the sub-plan organization model.

In a possible implementation manner, the target plan organization model and the sub-plan organization model further include position role attributes for describing access rights of the target plan organization and the sub-plan organization to the entity or the event, respectively.

In a possible implementation manner, if the target planning organization model of the sub-planning organization model satisfies the condition to be deleted at different time in the future, the method further includes:

at a future time after the deleted condition is satisfied, only removing parent-child relationships of the child plan organizational model and the target plan organizational model; or

At a future time after the deleted condition is met, releasing the parent-child relationship between the sub-plan organization model and the target plan organization model, and establishing the parent-child relationship between the sub-plan organization model and another plan organization model;

the condition of being deleted is satisfied including that the spatial geometric containing relation or the logical containing relation of the target plan organization and the sub-plan organization does not exist.

In one possible implementation, at a future time after the deleted condition is satisfied, only removing the parent-child relationship between the child plan organization model and the target plan organization model, the method further includes:

and modifying the spatial attribute of the sub-plan organization model into the physical space description of the corresponding sub-plan organization.

In one possible implementation mode, the attribute parameters of the target plan organization at different future times are utilized, and a corresponding target plan organization model record is generated based on a target plan organization model corresponding to the time;

generating corresponding sub-plan organization model records based on the sub-plan organization model corresponding to the time by utilizing the attribute parameters of the sub-plan organization at different future times;

wherein the attribute parameter includes at least one of an attribute name and a data type.

In one possible implementation, the target plan tissue model record and the sub-plan tissue model record include a record identifier for uniquely identifying the target plan tissue model record or the sub-plan tissue model record.

In a possible implementation manner, the target plan organization model record is used as a root storage node, the sub-plan organization model record is used as a sub-storage node of the root storage node, and a tree-shaped storage structure is built;

and determining the starting time of the time attribute of the root storage node as preset reference time, and determining the starting time of the time attribute of the child storage node as relative offset time of the preset reference time.

In a second aspect, the present application provides a subscription method for organizing future states, the method comprising:

establishing an incidence relation between the target plan organization model and the sub-plan organization model;

and generating subscription items according to the subscription request of the planned organization future state, generating subscription information matched with the subscription items according to the future state of the target organization model and the associated sub-planned organization model, and sending the subscription information to a subscriber.

In one possible implementation, the target plan organization model includes a parent object identifier for uniquely mapping the target plan organization model of the target plan organization;

the sub-plan tissue model includes a sub-object identifier for uniquely mapping the sub-plan tissue model of the sub-plan tissue.

In one possible implementation, generating subscription items according to subscription requests for planning future states of an organization, and generating subscription information matching the subscription items according to future states of the target organization model and the associated sub-planning organization models includes:

receiving a subscription request for planning and organizing a future state, wherein the subscription request comprises a parent object identifier and a child object identifier, and generating a subscription item according to the subscription request;

and aiming at one sub-plan organization model, generating subscription information for inquiring the future state of a target organization model associated with the sub-plan organization model according to the sub-object identification of the sub-plan organization model.

receiving a subscription request for planning and organizing a future state, wherein the subscription request comprises a time range, and generating a subscription item comprising the time range;

and generating subscription information for querying the future state of each sub-plan organization model associated with the target organization model in the time range according to the parent object identification of the target organization model.

In a third aspect, the present application provides a tissue future state twinning device, the device comprising:

a build plan organization model module to build a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization, the target plan organization model and the sub-plan organization model including a temporal attribute;

a time setting module for setting the time attributes of the target plan organization model and the sub-plan organization model as future time;

and the relationship establishing module is used for establishing the incidence relationship between the target plan organization model and the sub-plan organization model.

In a fourth aspect, an embodiment of the present application provides a subscription apparatus for organizing a future state, where the apparatus includes:

a construct plan organization model module to construct a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization, the target plan organization model and the sub-plan organization model including a time attribute;

the establishing relation module is used for establishing the incidence relation between the target plan organization model and the sub-plan organization model;

and the subscription item information generating module is used for generating subscription items according to subscription requests of plan organization future states, generating subscription information matched with the subscription items according to the future states of the target organization model and the associated sub-plan organization models, and sending the subscription information to subscribers.

In a fifth aspect, the present application provides a tissue future state twinning device, the device comprising:

at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method according to any one of the first aspects above.

In a fifth aspect, the present application provides a subscribing device for organizing future states, the device comprising:

at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the second aspects as described above.

In a sixth aspect, the present application provides a computer storage medium having stored thereon a computer program for causing a computer to perform the method according to any one of the first aspect above, or the method according to any one of the second aspect above.

The application provides a digital twin method, a digital twin device and a digital twin device for an organization plan state, wherein a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization are constructed, the time attributes of the target plan organization model and the sub-plan organization model are set as future time, the incidence relation between the target plan organization model and the sub-plan organization model is established, the twin of the organization future state can be realized, and the digital twin of the organization state in different future time periods can be carried out.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

FIG. 1 is a data structure diagram illustrating a tissue future state twinning method in accordance with an exemplary embodiment of the present invention;

FIG. 2 is a flowchart illustrating a tissue future state twinning method, according to an exemplary embodiment of the present invention;

FIG. 3 is a schematic illustration of a planning organizational model according to an exemplary embodiment of the present invention;

FIG. 4 is an exemplary plan organization predefined schema in accordance with an exemplary embodiment of the present invention;

FIG. 5 is a schematic illustration of a planned organizational object, according to an example embodiment of the present invention;

FIG. 6 is a schematic illustration of a plan organization data in accordance with an exemplary embodiment of the present invention;

FIG. 7 is a schematic illustration of the spatial location of a planned tissue object, according to an example embodiment of the invention;

FIG. 8 is a flowchart illustrating a method for organizing future state subscriptions in accordance with an exemplary embodiment of the present invention;

FIG. 9 is a schematic diagram of an example tissue plan state digital twin device in accordance with an example embodiment of the invention;

fig. 10 is an organization subscription apparatus according to an example of an exemplary embodiment of the present invention;

fig. 11 is a schematic diagram of an organization plan state digital twin device and an organization subscription device, illustrated according to an exemplary embodiment of the invention.

Detailed Description

The technical solutions in the embodiments of the present application will be described in detail and clearly with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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 invention. In the embodiment of the application, the acquisition, storage, use, processing and the like of the data all conform to relevant regulations of national laws and regulations.

The organization in the objective world can twinning the objective organization into an organization object in the digital twinning field, the objective organization has the spatial property, the actual geometric position of the organization can identify the spatial information, the past, the present and the future moments of the organization can be used for identifying the time information of the organization, and the organization, the spatial information and the time information thereof are twinned into a unified data structure, namely the space-time-based digital twinning.

At the current time and the future time of the objective world, the organization object may have different states, the current time is only the organization object 1, at a future time, as shown in fig. 1, the organization object 1 includes the organization object 2, and under the change of the states, the organization object 1 and the organization object 2 are represented by a unified data structure.

Tissue object 1 and tissue object 2 are each marked with a unique tissue identification. The organization identification is unique throughout the plan library system and the name may be repeated.

In order to realize digital twinning of the state of the tissue in different future time periods, the application provides a digital twinning method of the future state of the tissue, as shown in fig. 2, the method comprises the following steps:

s201: a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization are constructed, the target plan organization model and the sub-plan organization model including a temporal attribute.

The structure of the organizational model is a collection of attribute parameters of the organization, which may include historical status, current status, and planned status as a function of time attributes. The embodiment of the application relates to a future state of a tissue, and specifically, for a planned tissue, the digital twinning can be performed based on the tissue model and the planned state of the tissue to obtain the planned tissue object.

When the plan organization model is created, the structure of the plan organization model can be obtained by determining the attribute parameter set of the plan organization, wherein the attribute parameters in the attribute parameter set of the plan organization comprise attribute names and data types. Further, the structure of the planned tissue model may be predefined at least once, that is, a parameter initialization operation is performed to obtain at least one set of predefined data initial values corresponding to the structure of the planned tissue model. The predefined steps may be performed according to the needs of the user, or the predefined operations may not be performed. In addition, the planning organization data corresponding to different planning time periods can be determined according to the state values of the organizations in different planning time periods.

S202: and setting the time attributes of the target plan organization model and the sub-plan organization model as future time.

The attribute parameters of the target plan organizational model and the sub-plan organizational model include a time attribute that is a future time since a digital twin is performed on the planned state of the organization.

S203: and establishing an incidence relation between the target plan organization model and the sub-plan organization model.

Multiple association relations may exist among organizations, one association relation established in the embodiment of the application is a parent-child relation, namely a relation between a parent organization and a child organization, the target plan organization model and the child plan organization model comprise multiple attribute parameters, the target plan organization model and the child plan organization model can be identified as the parent organization model or the child plan organization model through the attribute parameters, and after identification is completed, a parent-child binding relation between the target plan organization model and the child plan organization model is established.

In this embodiment, identifying the sub-plan organization model as a sub-plan organization model belonging to the parent organization includes: identifying the child plan organizational model as a child plan organizational model belonging to a unique parent organization.

By the tissue future state twinning method, a common characteristic is configured for certain tissues, twinning of all tissues can be achieved, and the planned states of the tissues in different future time periods can be digitally twinned by setting time attributes.

In the embodiment of the present application, in order to realize the digital twin of the future state of the tissue, the method mainly includes several stages of constructing a planned tissue model, predefining (selecting) the planned tissue model, generating a planned tissue object, and generating a planned tissue object record, and embodiments of each stage are described below.

1) Constructing a planning organization model

The plan organization model is a configuration in which some plan organizations have common characteristics, and some basic properties of the plan organization are defined in the plan organization model, in this embodiment, a target plan organization model of the target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization need to be constructed, the target plan organization has a sub-plan organization having a parent-child binding relationship with the target plan organization, and the sub-plan organization is bound to a unique target plan organization.

The attribute names in the attribute parameter sets of the target plan organization model and the sub-plan organization model can be the same, but the attribute parameter values are different.

As an alternative embodiment, the attribute parameters of the planning tissue model include spatial attributes.

In one possible embodiment, the target planned organizational model and the sub-planned organizational model further include spatial attributes;

the spatial attribute in the present embodiment includes at least one of a spatial range and a spatial position.

In one possible implementation, the spatial attribute is used to describe a space in which the target plan organization or the sub-plan organization is located; the spatial position is used for describing the spatial position of the target plan organization or the sub-plan organization.

If the spatial attributes of the target plan organization model and the child plan organization model comprise a spatial range, the child plan organization can be determined to be located within the spatial range of the parent organization through the spatial attributes, and if the spatial attributes comprise the spatial range and a spatial position, the child plan organization can be determined to be located at a certain spatial position within the spatial range of the parent organization through the spatial attributes.

In one possible embodiment, establishing a parent-child relationship between the target plan organization model and the child plan organization model includes: and determining the spatial attribute of the sub-plan organization model as an object identifier of the target plan organization model, and establishing a parent-child relationship between the target plan organization model and the sub-plan organization model.

And setting the spatial attributes of the sub-plan organization models as object identifiers of the target plan organization model, so as to establish the parent-child relationship between the target plan organization model and the sub-plan organization model.

In one possible implementation, the target plan organization model and the sub-plan organization model further include position role attributes for describing access rights of the target plan organization and the sub-plan organization to the entity or event, respectively.

And organizing the attribute of the position role and setting at least one position role. The authority possessed by different post roles is different. Different roles in the organization have different access rights to some entity objects or event objects, so different access rights of different organizations are given by setting different post roles for the organization, and the access right management is simplified.

As shown in FIG. 3, the basic attributes in the set of attribute parameters of the planning tissue model may include, but are not limited to: model identification, model version, time accuracy (year/month/day), spatial range information, post role list. The model identification and the model version are used for determining the uniqueness of the model; temporal precision describes the temporal properties of the model. Besides the above listed basic attributes, other basic attributes may be defined according to user requirements, and are not specifically limited herein. A model has a plurality of members, each member having a member ID and a member name, and member precision is configurable for floating point type data. The members in the model are divided into two types of index members and common members, the index members are used for system optimization, indexes are built on the corresponding members, and condition query on the index members can be accelerated; when the data is organized according to the query plan, operations such as filtering and aggregation can be performed according to the index members more quickly.

2) Predefining (optional) of planning organization model

After the plan organization model is constructed, the plan organization model may be predefined, and the predefining is to determine initial value configurations of each attribute parameter in the target plan organization model and the sub-plan organization model, as shown in fig. 4, which includes a basic attribute, an index member, and a member 3 part. The basic attributes include: a predefined identification, a model version, a planned organization object name, a planned organization object description, a parent object identification, and a base time. The plan organization predefinition has model identification and model version information thereon for indicating which model this predefinition was generated with; predefining the name and the description of the plan organization object to determine a plan organization object generated by a twin plan organization; in the embodiment, the plan organization object is established according to a tree structure, so that the identifier of the parent object of each plan organization object is recorded on each predefinition, and the parent object is a root object when the identifier of the parent object is 0; if the plan organization object is a child plan organization object, the reference time is the time of the corresponding parent object, and the role of the index member is set as described above. The type of the basic attribute can be configured according to the requirements of users. Within a predefined member, only the member ID and the member value need to be stored.

3) Generating a planned tissue object

The plan organization object is a specific plan organization, and can twin out the specific plan organization object by defining the plan organization object name and the plan organization object description in the plan organization model aiming at the specific plan organization and the constructed plan organization model. In this embodiment, a target plan organization object (also referred to as a parent plan organization object in this embodiment) and a child plan organization object having a parent-child binding relationship may be generated, as shown in fig. 5, the plan organization object includes a basic attribute, an index member, and a member. And constructing object information for each plan organization by taking the predefinition of each plan organization model as a basic template, wherein the object information is used for describing basic attributes, and a parent-child hierarchical structure is arranged between the plan organization objects. In the construction process of the plan organization model, the plan organization model and the plan organization predefined tree structure are established according to the spatial relationship in the real world, and the tree structure of the plan organization object is established according to the plan organization model and the plan organization predefined spatial relationship. Object name: given by the user when creating the object, for the user to identify the planned organizational object.

Wherein the basic attributes include: object identification, predefined identification, plan organization object name, plan organization object description, parent object identification and reference time, version information, security configuration, and audit configuration.

The system generates an object identifier when the object identifier is created, and returns the object identifier to a user for uniquely identifying a plan organization object; the plan organization object is a specific organization and is created by plan organization predefining, so that predefined identification needs to be recorded in the plan organization object; if the object is organized for a child plan, corresponding parent object information, such as parent object identification and reference time, needs to be added. And parent object identification: a parent object for identifying the planning organization itself, a 0 indicating a root object; the plan organization object has "time reference" information PlanTime: PlanTime, which describes the base time of a root object, with this base time, the timestamp of the data can be set to the difference value of the base implementation, such as the base time of 2021-1-100: 00:00, and the time of 2021-1-500: 00:00 can be expressed as 4 days, and the base time of the sub-plan organization object is 0.

Because in the objective world, plans need to be made frequently, and through the multi-version nature value of plan organization, a plurality of versions of plans can be established, and then the plan of which version can be adopted can be quickly decided in the actual operation. Different version information is created for each of the planning organization objects, and it is possible to specify which version of data is added when data is added. The version name is input by a user, and the name cannot be repeated; the user can query the version information list that has been created.

Some common configurations of object data corresponding to objects may be stored within a planned organizational object, such as: version information, security configurations, audit configurations, and the like. Because the planned state of the organization may not change completely according to the plan, different versions of data are set for the planned state of the planned organization at different time periods; the safety configuration is used for recording operation authorities corresponding to different attribute parameter values in the target plan organization model or the sub-plan organization model; and the auditing configuration is used for recording the operation of the attribute parameter values in the target plan organization model or the sub-plan organization model needing auditing.

The planned tissue object has "time accuracy" information on it: the time precision refers to the time precision of the descriptor data, and can be divided into a plurality of levels such as year, month, quarter, week, day, hour, minute, second, millisecond and the like, for example, the time precision is set as day, and the time period describing 2021-1-100: 00: 00-2021-500: 00:00 can be expressed as 1-5 days, as shown in table 1:

TABLE 1

Object name	Object identification	Parent object identification	Time accuracy	Time reference
					Tissue 1	1001	0	Moon cake	2021-1-1 00:00:00
Tissue 2	2001	1001	Sky	0
					Tissue 3	2001	1001	Sky	0

4) Generating a planned physical object record

As an optional implementation manner, the embodiment generates a corresponding target plan organization model record based on a target plan organization model corresponding to a target plan organization object at different time in the future by using the attribute parameters of the target plan organization at different time in the future; generating corresponding sub-plan organization model records based on the sub-plan organization model corresponding to the time by utilizing the attribute parameters of the sub-plan organization at different future times; wherein the attribute parameter includes at least one of an attribute name and a data type.

As an optional implementation manner, the target plan organization model record is used as a root storage node, the sub-plan organization model record is used as a sub-storage node of the root storage node, and a tree-shaped storage structure is established; and determining the starting time of the time attribute of the root storage node as preset reference time, and determining the starting time of the time attribute of the child storage node as relative offset time of the preset reference time.

Fig. 6 is a schematic diagram of planned tissue data, which is a state value of a planned tissue object over different time periods. Each piece of plan organization data has a unique data identifier and a unique data name, a parent data identifier is also associated with the data and used for representing the association relationship of the plan data, and the parent data identifier of the plan data of the root object is 0. A start time offset and an end time offset on the planned organization data, wherein the start time offset is an offset from a start time of the parent planned data and, if a root object, is an offset from a base time within the planned organization object.

The planning organization data includes the following attributes:

and (3) object identification: indicating to which planned organizational object the record belongs;

data record name: a record name for identifying a planned organization object, the record name for each planned organization object being non-duplicative, entered by a user;

parent data record name: which parent planning organization record the current planning organization object record is bound to. If the object corresponding to the planned organization object record has no parent object, the name of the parent data record is not required to be given;

start time offset: using the relative time representation relative to the parent object record, the start time offset of the object record is represented relative to the time reference if the object to which the object record corresponds has no parent (i.e., is the root object). For example, the time reference is 2021-1-100: 00:00, when the time precision is day, if the initial time offset is 6, the time offset is 6 days, and the actual corresponding time is 2021-1-700: 00: 00;

duration: a time-accurate representation of the corresponding object is used.

In this embodiment, one way of triggering generation of the plan organization object record may be to generate, through the target plan organization model and at least one sub-plan organization model, a parent record of the target plan organization model and a sub-record of the sub-plan organization model in the at least one future duration period, where the parent record and the sub-record are respectively used to describe attribute states of the target plan organization and the sub-plan organization in the at least one future duration period.

The time range of the at least one child record is within the time range of the parent record. Wherein the target plan tissue model record and the sub-plan tissue model record include a record identifier for uniquely identifying the target plan tissue model record or the sub-plan tissue model record.

the condition of being deleted is satisfied including that the spatial geometric inclusion relation or the logical inclusion relation of the target plan organization and the sub-plan organization does not exist.

Taking fig. 7 as an example, at a certain time in the future, the organization object 2 is included in the organization object 1, and at another time in the future, after the organization object 1 is deleted, the spatial property of the organization object 2 is modified, and the binding relationship between the organization object 2 and the organization object 1 is released.

In a possible implementation manner, at a future time after the deleted condition is met, only the parent-child relationship between the sub-plan organization model and the target plan organization model is released, and the spatial attribute of the sub-plan organization model is modified into the physical spatial description in which the corresponding sub-plan organization is located.

Based on the same inventive concept, the embodiment of the present application provides a method for subscribing future states of an entity, as shown in fig. 8, the method includes:

s801: a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization are constructed, the target plan organization model and the sub-plan organization model including a temporal attribute.

S802: and setting the time attributes of the target plan organization model and the sub-plan organization model as future time.

S803: and establishing an incidence relation between the target plan organization model and the sub-plan organization model.

For specific implementation of S801 to S803, reference may be made to the above description, which is not repeated herein.

S804: and generating subscription items according to the subscription request of plan organization future state, generating subscription information matched with the subscription items according to the future state of the target organization model and the associated sub-plan organization model, and sending the subscription information to a subscriber.

The target plan organization model comprises a parent object identifier and is used for uniquely mapping the target plan organization model of the target plan organization; the sub-plan tissue model includes a sub-object identifier for uniquely mapping the sub-plan tissue model of the sub-plan tissue.

The subscription mode may specifically be based on a subscription including an object identifier, a spatial attribute, a spatial range, and a category attribute for planning and organizing the object.

In implementation, the subscription item may include an object identifier of a parent plan organization, generate a subscription item including the object identifier and a filter condition, and may further include an organization type; and inquiring future states of the sub-plan organizational model with the parent object identification consistent with the object identification in the subscription item according to the subscription item to obtain subscription information matched with the subscription item. If the filter condition field exists in the subscription item and is not null, judging whether the object meets the filter condition, and if so, issuing a corresponding state change event. Or the subscription item may include an object identifier of a sub-plan organization, the sub-plan organization model whose object identifier of the subscription item is consistent with the object identifier in the subscription item is queried according to the subscription item, the parent object identifiers of all the searched sub-plan organization models are determined, the future states of the target plan organization model corresponding to all the parent object identifiers are obtained, and the subscription information matched with the subscription item is obtained. If the filter condition field exists in the subscription item and is not null, judging whether the object meets the filter condition, and if so, issuing a corresponding state change event.

Generating a subscription item according to a subscription request of a plan organization future state, and generating subscription information matched with the subscription item according to the future state of the target organization model and the associated sub-plan organization model, wherein the subscription information comprises:

In implementation, the subscription item may include a time range, generate a subscription item including the time range and a filter condition, and may further include an organization type; and obtaining the subscription information matched with the subscription item according to the future state of each part plan organization model which meets the filtering condition and is consistent with the organization type in the query time range of the subscription item. If the field with the filtering condition in the subscription item is not empty, judging whether the object meets the filtering condition, and if so, issuing a corresponding state change event.

Based on the same inventive concept, the present embodiment provides a tissue future state twin device 900, as shown in fig. 9, the device including:

a construct plan organization model module 901 configured to construct a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization, where the target plan organization model and the sub-plan organization model include a time attribute;

a time setting module 902, configured to set a time attribute of the target plan organization model and the sub-plan organization model as a future time;

a relationship establishing module 903, configured to establish an association relationship between the target plan organization model and the sub-plan organization model.

In a possible implementation, the relationship establishing module 903 is specifically configured to:

In a possible implementation, the relationship establishing module 903 is specifically configured to: identifying the child plan organizational model as a child plan organizational model belonging to a unique parent organization.

In a possible implementation manner, the spatial attribute is used for describing a space where the target plan organization or the sub-plan organization is located;

In a possible implementation, the relationship establishing module 903 is specifically configured to: and determining the spatial attributes of the sub-plan organization model as the object identification of the target plan organization model, and establishing a parent-child relationship between the target plan organization model and the sub-plan organization model.

In one possible implementation, the establish relationship module 903 is further configured to: if the target plan organization model of the sub-plan organization model meets the deleted condition at different time in the future;

In one possible implementation, the establish relationship module 903 is further configured to: at a future time after the deleted condition is satisfied, after only releasing the parent-child relationship between the child plan organization model and the target plan organization model, the method further includes:

In one possible implementation, the construct plan organization model module 901 is further configured to: generating corresponding target plan organization model records based on the target plan organization model corresponding to the time by utilizing the attribute parameters of the target plan organization at different future times;

In one possible implementation, the construct plan organization model module 901 is further configured to:

taking the target plan organization model record as a root storage node, recording the sub-plan organization model record as a sub-storage node of the root storage node, and establishing a tree-shaped storage structure;

Based on the same inventive concept, the present application provides a subscription apparatus for organizing a future state, as shown in fig. 10, the apparatus 1000 includes:

a construct plan organization model module 1001 for constructing a target plan organization model of a target plan organization and a sub-plan organization model of at least one sub-target plan organization of the target plan organization, the target plan organization model and the sub-plan organization model including a time attribute;

a time setting module 1002, configured to set a time attribute of the target plan organization model and the sub-plan organization model as a future time;

a relationship establishing module 1003, configured to establish an association relationship between the target plan organization model and the sub-plan organization model;

and a subscribe item information generating module 1004, configured to generate a subscribe item according to the subscription request for plan organization future state, generate subscription information matched with the subscribe item according to the future state of the target organization model and the associated sub-plan organization model, and send the subscription information to the subscriber.

In one possible implementation, the generate subscription item information module 1004 is specifically configured to: receiving a subscription request for planning and organizing a future state, wherein the subscription request comprises a parent object identifier and a child object identifier, and generating a subscription item according to the subscription request;

In one possible implementation, the generate subscription item information module 1004 is specifically configured to:

Based on the same inventive concept, the present application provides an apparatus for organizing a future state twin, as shown in fig. 11, the apparatus comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the methods of organizing future state twins of the above embodiments.

The electronic device 130 according to this embodiment of the present application is described below with reference to fig. 11. The electronic device 130 shown in fig. 11 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 11, the electronic device 130 is represented in the form of a general electronic device. The components of the electronic device 130 may include, but are not limited to: the at least one processor 131, the at least one memory 132, and a bus 133 that connects the various system components (including the memory 132 and the processor 131).

The processor 131 is configured to read and execute instructions in the memory 132, so that the at least one processor can execute a tissue future state twin method provided by the above embodiments.

Bus 133 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.

The memory 132 may include readable media in the form of volatile memory, such as Random Access Memory (RAM)1321 and/or cache memory 1322, and may further include Read Only Memory (ROM) 1323.

Memory 132 may also include a program/utility 1325 having a set (at least one) of program modules 1324, such program modules 1324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination thereof may comprise an implementation of a network environment.

The electronic device 130 may also communicate with one or more external devices 134 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with the electronic device 130, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 130 to communicate with one or more other electronic devices. Such communication may occur via input/output (I/O) interfaces 135. Also, the electronic device 130 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 136. As shown, network adapter 136 communicates with other modules for electronic device 130 over bus 133. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 130, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

In some possible embodiments, the various aspects of a tissue-future-state-twin method provided by the present application may also be implemented in the form of a program product comprising program code means for causing a computer device to carry out the steps of a tissue-future-state-twin method according to various exemplary embodiments of the present application described above in this specification, when said program product is run on a computer device.

Based on the same inventive concept, the present application provides a subscribing device for organizing future states, which can be as shown in fig. 11, the device comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the above described embodiments of the method of organizing subscriptions to future states. The specific implementation is as described above, and is not described herein again.

In addition, the present application also provides a computer-readable storage medium storing a computer program for causing a computer to execute the method described in any one of the above embodiments.

These computer program instructions may be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A tissue future state twinning method, comprising:

setting the time attribute of the target plan organization model and the sub-plan organization model as future time;

2. The method of claim 1, wherein the future time is a future time at which future changes occur in the target planning organization and the sub-planning organization in the future or a time at which a future change occurs last time.

3. The method of claim 1, wherein associating the target plan organizational model with the sub-plan organizational model comprises:

4. The method of claim 3, wherein identifying the child plan organizational model as a child plan organizational model belonging to the parent organization comprises:

5. The method of any of claims 1 to 4, wherein the target plan organizational model and the sub-plan organizational model further comprise spatial attributes;

6. The method of claim 5,

the space attribute is used for describing the space where the target plan organization or the sub-plan organization is located;

7. The method of claim 6, wherein establishing a parent-child relationship between the target plan organizational model and the child plan organizational model comprises:

and determining the spatial attribute of the sub-plan organization model as an object identifier of the target plan organization model, and establishing a parent-child relationship between the target plan organization model and the sub-plan organization model.

8. The method according to any one of claims 1 to 4, wherein the target plan organization model and the sub-plan organization model further comprise post role attributes for describing access rights of the target plan organization and the sub-plan organization to entities or events, respectively.

9. The method of claim 5, wherein if the target planning organization model of the sub-planning organization model satisfies the condition to be deleted at a different time in the future, further comprising:

10. The method of claim 9, further comprising, after only releasing parent-child relationships of the child plan organizational model to the target plan organizational model at a future time after the deleted condition is satisfied:

11. The method of claim 1, further comprising:

generating corresponding target plan organization model records based on the target plan organization model corresponding to the time by utilizing the attribute parameters of the target plan organization at different future times;

generating corresponding sub-plan organization model records based on the sub-plan organization model corresponding to the time by using the attribute parameters of the sub-plan organization at different future times;

12. The method of claim 11,

the target plan tissue model record and the sub-plan tissue model record include a record identifier for uniquely identifying either the target plan tissue model record or the sub-plan tissue model record.

13. The method of claim 11, further comprising:

14. A subscription method for organizing future states, the method comprising:

and generating subscription items according to the subscription request of plan organization future state, generating subscription information matched with the subscription items according to the future state of the target organization model and the associated sub-plan organization model, and sending the subscription information to a subscriber.

15. The method of claim 14, wherein the target plan organization model includes a parent object identification for uniquely mapping the target plan organization model of the target plan organization;

16. The method of claim 14, wherein generating subscription terms based on subscription requests for planned future states of an organization and generating subscription information matching the subscription terms based on future states of the target organizational model and associated sub-plan organizational models comprises:

17. The method of claim 14, wherein generating subscription terms based on subscription requests for planned future states of an organization and generating subscription information matching the subscription terms based on future states of the target organizational model and associated sub-plan organizational models comprises:

18. A tissue future state twinning device, comprising:

19. A subscribing apparatus that organizes future states, the apparatus comprising:

20. A tissue future state twinning device, comprising:

at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-13.

21. A subscribing device that organizes future states, the device comprising:

at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 14-17.

22. A computer storage medium, characterized in that the computer storage medium stores a computer program for causing a computer to perform the method of any one of claims 1-13 or to perform the method of any one of claims 14-17.