CN108959353B

CN108959353B - Object data organization method

Info

Publication number: CN108959353B
Application number: CN201810396261.8A
Authority: CN
Inventors: 林伟
Original assignee: Beijing Wellintech Co Ltd
Current assignee: Beijing Wellintech Co Ltd
Priority date: 2016-12-30
Filing date: 2016-12-30
Publication date: 2021-05-18
Anticipated expiration: 2036-12-30
Also published as: CN106649867B; CN106649867A; CN108959353A

Abstract

A method of organizing object data, the method comprising: according to the method, correlation is carried out on a natural attribute of an object to be described and a data model or a data record containing a time attribute and a space attribute, concretization including the natural attribute, the time attribute and the space attribute is realized on the object to be described, unstructured data related to the object to be described is defined as member information of the object to be described in the form of a measuring point, and the member information containing the unstructured data is stored to a database where the corresponding data record is located on the basis of the time attribute and/or the space attribute. The unstructured data structuring process of the present invention supports these types with the ability for a member to express unstructured data information related to an object later using a single point. By enriching the data of the data members, the user can realize various complex functions in the process of monitoring and managing the system configuration, and the method is a solution for perfectly fusing structured and unstructured data.

Description

Object data organization method

The invention is a divisional application with application number 201611271001.5, application date 2016, 12 and 30, application type invention and title of an object data organization method.

Technical Field

The present invention relates to a method for monitoring and managing an industrial project or production, and more particularly, to a method for organizing object data.

Background

With the richness and development of network applications, many data object management systems often cannot rapidly follow the steps of massive information derivation and business model change, and often need to spend much time, manpower and material resources on processing information updating and maintaining work. When the system is expanded, the work of integrating various data of the system becomes more complicated, and even the system needs to be rebuilt; in so doing, the user is always upgraded and integrated in a high cost, low efficiency cycle. Meanwhile, in the system integration process, the system pages are often made out of order, the styles are not uniform, a large amount of information is accumulated, and data acquisition and calling are abnormal and heavy. The data calling module is complicated, the manual management efficiency is low, the application difficulty is high, many jobs can be completed by cooperation of technicians, the role division is unclear, the edition changing workload is large, the system expansion capability is poor, and the flexibility is further reduced when other applications are called in an integrated mode.

Meanwhile, when describing or defining an object in the computer field, physical objects all have attributes, such as Int, character, and float, but if the attributes are audio, video, or graphics, they need to be described by means of a third-party application. Thereby generating unstructured data.

Data that is not conveniently represented in a database two-dimensional logical table is referred to as unstructured data, as opposed to structured data (i.e., row data, stored in a database, that can be logically represented in a two-dimensional table structure), which includes office documents of all formats, text, pictures, subsets XML in a standard universal markup language, HTML, various types of reports, images, and audio/video information, among others.

Data object management systems allow a large number of users to efficiently share electronic content, such as text, audio files, video files, pictures, graphics, and the like. Data object management systems typically control access to content in a repository. The user may generate content and, upon check-in of the content to the repository, the content may be subsequently processed by the data object management system according to predefined rules. The user may also check the content out of the repository or link the content with content in the repository when the content is generated.

Data object management systems typically manage object data in a particular format, such as extensible markup language, which can be used to virtually describe any type of data. For example, XML grammars have been used to describe word processing documents, spreadsheets, database records, digital images, digital videos, and the like. A given XML document may also be associated with other components, such as document type definitions, XSL style sheets, and other associated files, tools, and utilities. XML data can be of different types, such as structured data, unstructured data, compiled data, and wizard data. The structure of structured data is very rigorous, similar to relational data, and unstructured data is not mixed in the complete structure. Unstructured data is similar to traditional rich word processing formats. The compiled data represents a link structure to external content. Wizard data is a special form of tabular data that prompts a user with a wizard to provide data that is included in a table or other data structure. A given document may contain a mix of different types of data. Known applications, such as applications presenting different types of data, are very efficient and can present certain types (but not all types) of data very well. For example, applications such as Microsoft Word are very effective at presenting unstructured data, but are less functional at presenting structured data. When a user decides to invoke a particular application to view a document containing multiple types of data, the application may be very effective for certain data types, but relatively less functional for other data types in the same document. When viewing documents having multiple types of data, it is often difficult for a user to know which application to use. If the data object management system does not have a more efficient way to present objects having different data types, the user must manually switch applications while handling the different data types in the objects.

Meanwhile, a relational database is a shareable, organized collection of relational data stored on a computer. Relational data is data represented by a relational digital model in which data is described in the form of a two-dimensional table. In an application system using a relational database to store information, there are a large number of multidimensional queries, which provide query conditions of various dimensions for a user to input, and at the same time, the user needs to retrieve required information simply, quickly, and intelligently. The optimization method for database query mainly comprises the following steps: (1) reasonably utilizing the index: for a data table in a relational database, an independent and ordered storage structure is created according to the queried field, and a directory is created for books similarly, so that space is exchanged for time, and the query performance is improved. (2) Redundancy relationship data: the data structure design in the relational database is required to follow certain specifications to ensure the integrity and consistency of data, reverse normalization is properly adopted, and information in other related tables is stored in a two-dimensional table in a redundant mode to reduce incidence relation during query and improve query performance. (3) And (4) separating and storing mass data: for mass data, the mass data is classified and independently stored according to certain data, for example, telephone number information is respectively stored according to the affiliated areas, so that the service logic complexity is increased, the design difficulty of an application program and the data maintenance difficulty are improved, the query range is narrowed, and the query performance can be improved.

Chinese patent CN100483411 discloses an information retrieval method in a relational database, which comprises the following steps: constructing a dimensionality reduction strategy tree and placing the dimensionality reduction strategy tree in a database system, wherein the dimensionality reduction strategy tree comprises at least one child node and at least one root node, and each child node at least comprises the node number identification information, inquiry condition combination information and a lower-level child node number; when the database is searched according to the user query condition and the required data is not obtained, sequentially constructing new query conditions according to the dimension reduction strategy tree; and searching the database according to the new query condition until required data is obtained or querying a root node of the dimension reduction strategy tree to return information without the required data. The invention also discloses a device for retrieving information in the relational database, which comprises: the device comprises a query condition acquisition unit, a query result output unit, a strategy tree storage unit and a query operation unit. By using the invention, the database retrieval efficiency can be improved. However, the patent has problems that: specific number identification information is needed when data is inquired and called, and in some fields, such as the field of industrial process control, the types and the quantity of equipment and process parameters are large, so that the data is inconvenient to inquire by using the number. This is a problem that always exists in the conventional relational database, and each object must retrieve corresponding data through a unique corresponding identification code.

Disclosure of Invention

Based on the defects of the prior art, the invention provides an object data organization method, which comprises an object data definition process and an object data operation process and is characterized in that objects to be described are classified into corresponding categories according to natural attributes of the objects, so that predefined category attributes corresponding to the related categories are allocated to data records which correspond to the objects to be described and at least comprise time attributes and space attributes in advance; according to the data record containing the time attribute and the space attribute of the object to be described, realizing the association of the data record and the natural attribute of the object to be described and completing the instantiation; the data records of the objects to be described, which are stored in the real-time database, the historical database and the planning data after the instantiation is completed, are updated for the first time based on the spatial attributes including the spatial shape, the spatial profile and the spatial position description of the data; implementing a second update to the updated data records stored in the real-time database, the historical database, and the planning database that completed the update of the spatial attributes based on temporal attributes including a temporal location, a start time, an end time, and/or an elapsed time; the method comprises the steps of defining unstructured data related to an object to be described as member information of the object to be described in a measuring point mode, and storing the member information containing the unstructured data to a database where corresponding data records are located on the basis of time attributes and/or space attributes.

According to a preferred embodiment, the method for organizing the object data further includes retrieving the member information of the object to be described based on the type of the member information of the object to be described.

According to a preferred embodiment, said retrieving comprises completing member information retrieval of corresponding types of corresponding objects within a corresponding space-time based on the types of temporal information, spatial information, and member information; the retrieval comprises the step of completing the retrieval of the member information of the corresponding type of at least one object at a corresponding time point or in a corresponding time period based on the types of the time information and the member information; the retrieval comprises the step of completing the retrieval of the member information of the corresponding type of the corresponding object in different time periods in the corresponding space based on the types of the space information and the member information; the retrieving comprises completing member information retrieving of corresponding types of at least one object in each time period and each space based on the types of the member information.

According to a preferred embodiment, the types of the member information include at least date type, binary, resource, pen, brush, and font.

According to a preferred embodiment, the resource type member information at least comprises unstructured data in one or more formats of 2D graphics, 3D graphics, text, pictures, subset XML under standard universal markup language, HTML, reports, audio and video information related to the object to be described; the resource type member information is acquired through equipment import and/or bottom layer sensing unit acquisition.

According to a preferred embodiment, the paintbrush comprises solid colors, hatching, texture, linearity, and paths.

According to a preferred embodiment, the first update of the data records is a process of classifying and storing the real-time database, the planning database and the historical database based on spatial attributes of object data including descriptions of spatial shapes, spatial contours and spatial positions of data.

According to a preferred embodiment, the second updating of the data record is a process of classifying and storing the planning database and the history database based on time attributes of the object data, wherein the time attributes include descriptions of a time position, a start time and an end time corresponding to the object data;

the second updating of the data record further includes a process of sorting and storing the real-time database based on time attributes of the object data, wherein the time attributes include descriptions of a time location, a start time, and an elapsed time corresponding to the object data.

According to a preferred embodiment, the retrieval of the state information of the data or the object to be described is carried out on the basis of the spatial and/or temporal property descriptions of the data.

According to a preferred embodiment, the retrieval of state information of specific space different time periods is realized on the basis of the space attribute description of the data, wherein the specific space different time periods are realized on the matters and/or objects included in the data corresponding to the space attribute description;

realizing state information retrieval of different spaces at specific time for things and/or objects included in data corresponding to the time attribute description based on the time attribute description of the data;

and realizing state information retrieval of specific time and specific space for things and/or objects included in the data corresponding to the time attribute description and the space attribute description based on the time attribute description and the space attribute description of the data.

According to a preferred embodiment, the spatial shape is object data or a physical shape corresponding to an object to be described, and the physical shape corresponding to the object data realizes description of the spatial shape through geometric points, lines and planes;

the space outline is an envelope corresponding to the object data or the object to be described, and the envelope corresponding to the object data is represented by a rectangle or a cube; calculating the origin, length, width and height of the space outline according to the space shape corresponding to the object data;

the spatial position is position information where the object data or the object to be described is located in a space, and the position information comprises precise position information and logic position information;

the accurate position is at least the geographic coordinate position corresponding to the object data or the object to be described, and the logical position is the position information and/or relationship of each component element in the object data, wherein the position relationship comprises the position relationship between the same-level spatial models and the position relationship between different-level spatial models.

According to a preferred embodiment, the object data or the object to be described comprise a corresponding static object and a corresponding dynamic object, the static object comprises that the precise position of the object data or the object to be described is static and/or the logical position is static; the dynamic object comprises the object data or the accurate position of the object to be described is in a dynamic state and/or the logical position is in a dynamic state;

the logic position information corresponding to the object data or the object to be described comprises the corresponding logic position definition information and the logic position relation information; and the logical position relation information corresponding to the object data comprises position membership and/or hierarchical relation.

According to a preferred embodiment, the query describing the object is narrowed down by the attribute values of the unstructured data in a conditional filtering manner, wherein the condition at least comprises a space attribute, a time attribute, a name attribute defined in natural language and/or a specific time attribute and a specific space attribute of events and/or objects included in the data corresponding to the time attribute description and the space attribute description; the computed and processed unstructured data is stored to a real-time database, a historical database, and/or a planning database.

According to a preferred embodiment, the step of calculating and processing the unstructured data at least comprises data modification, data analysis processing and data reading, wherein the modified data is stored into a real-time database, a historical database and/or a plan database based on unique member name data, the spatial attribute change data in the object to be described is analyzed and processed, the member information related to the spatial attribute change data is extracted and stored into the corresponding real-time database, historical database and/or plan database, and the recorded data of the description object in the real-time database, historical database and/or plan database is read into a data cache channel, so that a user can access and modify the unstructured data of the description object.

According to a preferred embodiment, the method further comprises: and reading and writing a plurality of attributes of the member information based on the unique member name data.

According to a preferred embodiment, unstructured member information is continuously acquired based on the time attribute, the space attribute and/or the specific attribute of unstructured data, wherein the unstructured data comprises a plurality of layers of unstructured sub-member information which forms the unstructured member information in an unstructured form, the unstructured sub-member information is acquired layer by layer based on the time attribute, the space attribute and/or the specific attribute in the unstructured member information, and the unstructured member information and/or the unstructured sub-member information are calculated, accessed and modified layer by layer and/or continuously.

The invention has the beneficial technical effects that:

the invention carries out structured processing on unstructured data, and audio, video and graphics are all one point, namely, members of the model, so that the use is very convenient, other software is required to independently process the unstructured audio, video and graphics, and the invention is stored on different members of the model in an independent server, so that the use and the management are very convenient. Unstructured data structuring supports these types and allows a member to express unstructured data information about an object using a single point. By enriching the data of the data members, the user can realize various complex functions in the process of monitoring and managing the system configuration, and the method is a solution for perfectly fusing structured and unstructured data, and the solution is realized by a configuration mode instead of a high-level language programming mode to fuse professional products.

The invention completes the establishment of the space-time database based on the object data according to the time attribute and the space attribute of the object data. And classification updating and storage of object data based on spatial attributes and temporal attributes are realized. The time-space database at least comprises the time attribute and the space attribute corresponding to the object data, so that the state information of the object data can be retrieved according to time and space during data query, and the method is convenient and quick.

The invention realizes the space modeling of the object corresponding to the object data through the space shape, the space outline and the space position, not only realizes the accurate position information description of the object corresponding to the object data, but also realizes the description of the logic position of the object corresponding to the object data. The object position information corresponding to the object data can be searched without depending on longitude, latitude and altitude information, and the object position can be inquired only by the name or other definition information. Meanwhile, the query of the membership relationship can be realized based on the description information of the object data corresponding to the logic position of the object. Meanwhile, the invention can also realize the recording and updating of the dynamic accurate position and/or the dynamic logic position of the object corresponding to the object data, thereby realizing the functions of historical position tracing inquiry and real-time position inquiry of the object corresponding to the object data.

Meanwhile, the invention can also query only by describing the time attribute of the object data, and the query mode is the most familiar mode of the user and is natural and convenient to use; on the other hand, the invention describes the data information of production monitoring management through three time dimensions, solves the problems of various system applications through one time-space database and can reduce the investment of users and the maintenance cost of the system.

Detailed Description

The following examples are given for illustrative purposes.

The invention provides an organization method of object data, wherein the organization of the object data comprises a definition process of the data and an operation process of the data, and the data definition comprises the definition of model library data and the definition of engineering library data realized through a space dimension and/or a time dimension. The running process of the data comprises a data updating process of realizing a real-time database, a historical database and planning data of different data objects in a time dimension. The data updating process is to realize second organization or updating of the data stored in the real-time database, the plan database and the historical database according to time attributes on the basis of realizing first organization or updating of the data stored in the real-time database, the plan database and the historical database according to spatial characteristics of the data.

The organization or update of the object data comprises a definition process of the data and a running process of the data. The data definition comprises the definition of realizing the model base data and the definition of the engineering base data through a space dimension and/or a time dimension. According to a preferred embodiment, the objects to be described are classified into respective classes according to their natural properties, so that a predefined class property corresponding to the relevant class is assigned to a data record corresponding to the object to be described, which data record at least previously comprises a temporal property and a spatial property. The objects shown may be various things, for example, may be classified into physical, chemical, and biological classes by natural attributes, and the like. And according to the data record containing the time attribute and the space attribute of the object to be described, realizing the association of the data record and the natural attribute of the object to be described and finishing the instantiation. The instantiation process is that the object to be described is associated with a data model or a data record containing time attribute and space attribute according to the natural attribute of the object to be described, and concretization containing the natural attribute, the time attribute and the space attribute is realized on the object to be described.

The definition of the data is a process of modeling a time-space database based on the time attribute and the space attribute of the data. The method comprises the steps of defining unstructured data related to an object to be described as member information of the object to be described in a measuring point mode, and storing the member information containing the unstructured data to a database where corresponding data records are located on the basis of time attributes and/or space attributes.

The method for organizing the object data further comprises the step of realizing the retrieval of the member information of the object to be described based on the type of the member information of the object to be described. The retrieval comprises the step of completing the retrieval of the member information of the corresponding type of the corresponding object in the corresponding space-time based on the types of the time information, the space information and the member information. The retrieval comprises the step of completing the retrieval of the member information of the corresponding type of at least one object at a corresponding time point or in a corresponding time period based on the types of the time information and the member information; the retrieval comprises the step of completing the retrieval of the member information of the corresponding type of the corresponding object in different time periods in the corresponding space based on the types of the space information and the member information. The retrieving comprises completing member information retrieving of corresponding types of at least one object in each time period and each space based on the types of the member information.

According to a preferred embodiment, the types of the member information of the object to be described include date type, binary, resource, pen, brush and font. That is, the object to be described may implement the multi-aspect description process of the object to be described through member information including date, binary, resource, pen, brush and font.

According to a preferred embodiment, the resource type member information comprises at least unstructured data in one or more of 2D graphics, 3D graphics, text, pictures, subset XML under standard universal markup language, HTML, reports, audio and video information related to the object to be described. The paintbrush comprises pure color, hatching, texture, linearity and path, for example, information description of different objects to be described can be realized through paintbrush format data of different colors, different virtual lines and real lines, different texture types, different line types and different line paths. Similarly, different information description and recording of the object to be described can be realized through different date data, binary data, resource data, pen data and font data.

For example, with a boiler as an object to be described, the name of the boiler needs to be defined, which can be defined by a character string, for example, 32 characters; the temperature of the boiler needs to be defined and can be defined by floating point type data; the height of the boiler is defined by the meter and can be defined by the integer data. After the boiler attribute definition is completed, the data structure is: boiler-name; boiler-temperature; boiler-height. If the boiler also has image information (video), color information (color), 2D graphic information of the boiler, and 3D graphic information of the boiler, it cannot be defined in a structured manner by character strings, integer or floating point data. Thereby generating unstructured data. According to the technical scheme, the unstructured data types are directly introduced into the object to be described as the member of the object to be described. That is, the object to be described can also be directly described by the data type of the llipse, video, color, and the like. The data structure is then: boiler-ellipse; boiler-video; boiler-color, thereby enabling a structured description of the object to be described. According to a preferred embodiment, the resource type member information may be acquired through device import and/or acquisition by an underlying sensing unit.

In addition to realizing the organization of the object to be described, the time attribute data and the space attribute data in the object data organization process, the unstructured data information is defined as the object members in the form of a measuring point or a data recording segment. For example, the object members in the data record include data types such as temporal attribute data, spatial attribute data, audio data, video data, picture data, enumeration, digital files, and the like. The database directly stores the object member data without independent storage and management of a user, and the object member data can be directly displayed on an interactive interface when in use. The unstructured data are all structured, audio, video and graphics are all one point, namely, members of the model, so that the use is very convenient, other software needs to process the unstructured audio, video and graphics independently, and the technical scheme is that the unstructured audio, video and graphics are stored on different members of the model on an independent server, so that the use and the management are very convenient. Unstructured data structuring supports these types and allows a member to express unstructured data information about an object using a single point.

The method is implemented by a time-space database. The object data comprises three time-dimensional data structures, namely a real-time data object, a historical data object and a planning data object, which are respectively stored in corresponding databases. The data processing system comprises three databases which are respectively corresponding to the three databases and are used for storing future planning data, real-time data and historical data records. Each data contains temporal and spatial attributes. The space-time database is internally divided into at least three databases: historical data, real-time data, planning data. The real-time database is used for storing the real-time value of the current system; the historical database stores historical data according to the configured conditions; the plan database is used for storing plan data. The real-time data objects stored in the real-time library are organized according to the spatial characteristics, and storage and retrieval are facilitated. The data of the historian and the planning library are organized according to the spatial characteristics and then according to the temporal characteristics.

The time dimension describing production data is divided into past, present and future. The data storage and implementation of the three databases are different. Wherein the planning database contains a plurality of data contents or a plurality of data versions for the same time and space. Wherein the plurality of data contents or the plurality of data versions relate to different planning data for different real-time data. Which involves a triggering or matching process of real-time data. The plan database completes the data triggering or matching process based on the real-time data, so that the plan data corresponding to the triggering data are matched. The real-time data has high real-time performance, millions of recorded real-time data which are refreshed correspondingly every second have a fresh period limit on the data which are not refreshed timely. Most of the historical data is time sequence data, and the time sequence data can be compressed and stored, and certainly, uncompressed storage of the service data is also available.

The time-space database describes data information of production monitoring management through three time dimensions, the problem of application of various systems is solved through one database, and investment of users and maintenance cost of the systems can be reduced. Unlike the ID search by hierarchical library or the SQL query by relational library, the query of data is performed by querying the object of a certain model in time and space, which is the most familiar way for users and is naturally very convenient. The time-space database abstracts and summarizes objects to be managed by a user, each object is a data object to be stored, the similarity of the objects determines that the objects can come from the same model, but the objects are different in difference and object transition, the object storage management can be realized through the version of the model, the data of the current objects can be searched and the object transition can also be searched during query, and the time-space database can be realized through version control during use.

The database stores data containing temporal and spatial attributes, temporal being an indivisible attribute of an object. For example, a project or project, if the spatio-temporal system changes, means the reconstruction of the project or project. Both time and space have location, length (granularity). For example, a production lot is a length, information of a first lot in a certain workshop. A certain period of time is not written to obtain possible batch information. Because of the spatial information of the invention, when the data is displayed, the data can be directly displayed in the form of geographic information through the spatial display function. The same model instantiates objects, and if their temporal position, spatial position, temporal length, and spatial length are all the same, they must be the same object.

According to a preferred embodiment, multiple data versions or data types can be instantiated for the same real-time model. For example, a workshop is upgraded, new and old systems coexist, the new and old systems are two versions of a used model, a time-space database monitors system objects under the two versions, if a certain object is upgraded, the new version is switched to, and when history is stored, a history record corresponding to each version is stored. Playback of the historical data not only sees the historical data for each system, but also sees historical transitions. For example, the plant collection model is version V1, and only two parameters of temperature and humidity are collected. And establishing an object of the first workshop based on the acquisition model of the V1 version, and storing the acquired values of the temperature and the humidity into a historical database, wherein the historical database also records the version of the corresponding model. After a period of operation, the field system is upgraded to collect pressure in addition to temperature and humidity, and the collection model is upgraded to the V2 version, increasing the pressure parameters. After the first workshop object is upgraded, the first workshop acquires three values of temperature, humidity and pressure, and stores the corresponding values into the database. In the history library, history data generated under the condition of different versions of the first workshop is recorded.

Example 1

The organization of the time object data and the retrieval of the data based on the time attribute and the space data of the data are taken as examples.

The organization of the object data comprises a definition process of the data and a running process of the data. The data definition comprises the definition of realizing the model base data and the definition of the engineering base data through a space dimension and/or a time dimension. According to a preferred embodiment, the objects to be described are classified into respective classes according to their natural properties, so that a predefined class property corresponding to the relevant class is assigned to a data record corresponding to the object to be described, which data record at least previously comprises a temporal property and a spatial property. The objects shown may be various things, for example, may be classified into physical, chemical, and biological classes by natural attributes, and the like. And according to the data record containing the time attribute and the space attribute of the object to be described, realizing the association of the data record and the natural attribute of the object to be described and finishing the instantiation. The instantiation process is that the object to be described is associated with a data model or a data record containing time attribute and space attribute according to the natural attribute of the object to be described, and concretization containing the natural attribute, the time attribute and the space attribute is realized on the object to be described. The definition of the data is a process of modeling a time-space database based on the time attribute and the space attribute of the data.

For example, the space-time database includes a model library and an engineering library at development time, a real-time, history, plan library and a calculation engine at runtime. The information system construction is divided into a solution stage and an engineering stage, the solution stage is mainly to define a data model and a calculation model in a model base, the engineering stage is to install the engineering base on a client site, instantiate objects after loading related data models and calculation models of the model base, the objects are specified to run at a certain machine node, and the machine node can automatically install and deploy real-time base, history base, plan base and calculation tasks. The construction of the data model is an abstract description of real-world management things. The things have inherent attributes of time and space, and a monitored system has a requirement of security authority. Therefore, the basic attributes of the data model include name, security model, time model, space model, data direction, storage mode, creator, creation time, modification time, and the like. The basic attributes are inherent, a user is not required to create the basic attributes independently, some attributes are automatically generated, such as a creator, creation time and modification time, some attributes are required to be configured, and data models which are not configured cannot be used normally. In the object data organization process, in addition to the organization of the object to be described, the time attribute data and the space attribute data, the unstructured data information is defined as object members in the form of a measuring point or a data recording segment. For example, the object members in the data record include data types such as temporal attribute data, spatial attribute data, audio data, video data, picture data, enumeration, digital files, and the like. The database directly stores the object member data without independent storage and management of a user, and the object member data can be directly displayed on an interactive interface when in use. The members of the data model are user-defined, and the members have names, types, units and initial values. The types of the members are provided by a system, so that a user can select the types of the members, wherein the types of the members comprise a series of objective data such as time, space, numbers, resources, enumeration, audio, video, files and the like, and if one plan has both digital information and audio and video information, the types of a plurality of members of the plan data model can be defined to be int, Float, audio, video, files and the like.

Each model has unique time granularity and spatial granularity, a plan data is taken as an example to describe a production line shift plan, a production line model and a shift model are space models and time models for realizing definition, the model is determined to assume that the production line model has 3 production line objects in the engineering stage, and the shift model has three shifts, namely, A, B and C. The data model can only instantiate 3 production lines and 3 teams for 9 plan data objects, and cannot instantiate plans of other spatio-temporal granularity. The temporal and spatial granularity of the model is determined and cannot be modified any more, and only if the attributes are modified or the members are changed, a new model version is generated. When the members of the data model change, the change of the attributes except time and space generates a new version. The space-time database allows multiple versions of a model to exist. By taking production equipment of a workshop as an example, in the actual production process, equipment upgrading is faced, the upgraded equipment becomes more intelligent, the acquired information is more complete, and at the moment, a model describing the equipment generates a new version, but not all the equipment is upgraded, so that part of the equipment is an old version and part of the equipment is a new version. When a new version of the data model appears, the corresponding calculation model also has the new version, and the calculation logic needs to process the calculation formulas of objects with different versions.

The calculation model is a calculation relationship, an belonging relationship, and a transmission relationship for processing the data model. The computational relationship is a change in temporal and spatial granularity, for example, a daily schedule decomposes a shift schedule. A relationship is a composition of multiple children into a parent, such as a composition of a host datum and a part datum into a semi-finished datum, which is also a calculation. The transmission is that the space-time granularity of the object is unchanged but the position is changed, such as raw material data is transported from a storehouse to a line side storehouse, semi-finished products are moved from one process to another process, and the position of the object is changed.

The calculation model also has the basic attributes of a time model and a space model, the space-time attribute of the calculation model is determined, the calculation model can only calculate the data model with the space-time granularity being less than or equal to the granularity, and the related data model is directly checked according to the granularity range of the calculation model in the calculation. Besides the name, space-time, version and safety inherent attributes, the calculation model also comprises members, channels and calculation logic, the members of the calculation model are only a certain simple data type and can store the last value used for calculation, because the calculation model has time and space models, the calculation model and the calculation model have parent-child relationship, for example, the annual plan making calculation model is the parent of the monthly plan making calculation model, the parent calculation model can directly operate the members of the child plan model, namely, the members are set with values, and the children cannot set with values for the parent. The calculation channel can be a data type or a data model, the calculation channel is an array or a data cache region, the data channel can be used for storing the data subscribed and inquired by the calculation to the database, and the data transmitted between the calculation and the calculation is also transmitted to the channel. The computing channel comprises a system channel and a user-defined channel, wherein the system channel comprises a system message channel, a mouse channel, a keyboard channel and the like, and the system channel mainly processes system asynchronous messages and caches graphic data. The user-defined channel can store model definition, object definition and object data, one channel can only select one type, and generally, the channel is mainly used for storing data of calculation query when the system runs. A channel is an essential component of a computational object to receive asynchronous messages and compute the required data. A parent computation sets the members of a child computation, one computation being the parent of another computation, then this parent computation time or space must be the parent of the child computation's time or space. A computation may transfer data to another computed channel. Computing data that can be subscribed to, queried, linked to real-time, historical, plan, engineering libraries. The real-time history and plan library is only data, the engineering library is the definition of a model and an object, the model of the engineering library can only be subscribed and inquired but can not be modified in a connected mode, and the data of the real-time history and plan library can be modified in a connected mode or can be inquired and subscribed. The connection of the data is equivalent to locking, the locked data value can be accessed but cannot be modified by others, and the connection operation can be carried out only by connecting third parties which disconnect the data after the others modify the generated new data version.

In the running process of the system, a user designates a real-time server, a history server and a plan server through a configuration interface. Each server client automatically sends data to a corresponding server, for example, the real-time data client transmits real-time data generated by the system to the real-time data server, the real-time data server automatically creates a table in the real-time database, and stores related data in the real-time database created on the corresponding real-time server. The historical database and the plan database also collect data in the same manner as the data collection of the real-time database

The running process of the data comprises a data updating process of realizing a real-time database, a historical database and planning data of different data objects in a time dimension. The data updating process is to realize the second organization of the data stored in the real-time database, the plan database and the historical database according to the time attribute on the basis of realizing the first organization of the data according to the space attribute of the data of the real-time database, the plan database and the historical database. That is, the instantiated data records of the objects to be described stored in the real-time database, the historical database and the planning data are updated for the first time based on the spatial attributes. And realizing second updating of the data records after the updating of the spatial attributes is completed, which are stored in the real-time database, the historical database and the planning data, based on the time attributes.

The first organizing or updating process of the data is a process of classifying and storing the real-time database, the plan database and the historical database based on the spatial attributes of the object data. Wherein the spatial attributes include a description of a spatial shape, a spatial profile, and a spatial location of the data. The space shape is a physical shape corresponding to the object data, and the physical shape corresponding to the object data realizes the description of the space shape through geometric points, lines and surfaces. The spatial profile is an envelope corresponding to the object data, and the envelope corresponding to the object data is represented by a rectangle or a cube. And calculating the origin, length, width and height of the space contour according to the space shape corresponding to the object data. The spatial position is position information describing a spatial position corresponding to the object data, and the position information includes precise position information and logical position information. The accurate position is at least a geographic coordinate position corresponding to the object data, and the logical position is position information and/or relationship of each component element in the object data, wherein the position relationship comprises position relationship between peer spatial models and position relationship between different level spatial models. The object data includes corresponding static objects and corresponding dynamic objects, and the static objects include that the precise position of the object data is static and/or the logical position is static. The dynamic object includes the precise location of the object data being dynamic and/or the logical location being dynamic. The logical position information corresponding to the object data includes logical position definition information and logical position relationship information corresponding to the object data. The logic position definition information corresponding to the object data at least comprises definition objects corresponding to a first group company, a first branch factory, a first workshop, a first production line and a first station. And the logical position relation information corresponding to the object data comprises position membership and/or hierarchical relation.

And the second organization or update of the data is a process of classifying and storing the planning database and the historical database based on the time attribute of the object data. Wherein the time attribute includes a description of a time position, a start time, and an end time corresponding to the object data. A process of sorting and storing the real-time database based on time attributes of object data, wherein the time attributes include descriptions of time locations, start times, and elapsed times corresponding to the object data. The elapsed time is the timing time of the last refresh of the real-time data, and if the elapsed time exceeds the freshness attribute configuration of the real-time object, the system or the real-time database considers the real-time data to be not fresh. Meanwhile, as long as the real-time database refreshes the data again in the fresh period, the elapsed time is cleared and is re-timed.

According to a preferred embodiment, the system is internally divided into three databases, namely a historical database, a real-time database and a plan database. And the historical database stores historical data of objects corresponding to the object data according to the configured conditions. The real-time database is used for storing real-time values of things corresponding to the object data. The plan database is used for storing plan data of things corresponding to the object data. These three databases are not user configurable. When the user uses the system, only the historical server, the real-time server and the plan server need to be specified through the configuration interface. When the system is operated, each server client automatically sends data to the corresponding server. For example, a real-time data client may transmit real-time data generated by the present system to a real-time server. As are historical data clients and planning data clients. The storage mechanism of the present invention is not limited thereto, and other storage mechanisms are also included.

According to a preferred embodiment, there is a large difference between the storage of historical data, real-time data and planning data. The real-time data is real-time, and represents the data of the current time, and has the characteristic of freshness, that is, the refresh period of the data conforms to the time granularity. For example, if the freshness of an object is 5 seconds, its refresh period should also be 5 seconds, and if it is not refreshed within 5 seconds, the object is not fresh. Real-time data requires high real-time performance, millions of recorded real-time data can be refreshed every second, and the data which is not refreshed in time has a fresh period limit. Historical data tenses are historical, representing data of past time. Most of the historical data of the industrial process is time sequence data and can be compressed. The business data in the historical data can also be stored in an uncompressed mode. The projected data tense is future, representing data at a future time. The planning data is calculated according to historical data and real-time data. The time attribute of the object corresponding to the object data at least comprises the time position, the starting time and the ending time of the object corresponding to the object data. The temporal location is a location relative to the parent spatial model. When data is searched, the object in the model can be retrieved according to the time attribute of the object data, and the method is convenient and quick. Preferably, the object data corresponds to things which can customize other attributes of the data besides the time attribute.

The user can retrieve the state information of the data based on the spatial attribute description and/or the temporal attribute description of the data. The spatial attribute description based on the data can realize the state information retrieval of specific space different time periods for things and/or objects included in the data corresponding to the spatial attribute description. The retrieval of state information of different spaces at specific time can be realized for things and/or objects included in the data corresponding to the time attribute description based on the time attribute description of the data. The retrieval of state information of a specific time and a specific space can be realized for things and/or objects included in the data corresponding to the time attribute description and the space attribute description based on the time attribute description and the space attribute description of the data. Namely, when data is queried, the state information of the object data can be retrieved according to time and space, and the method is convenient and quick.

Meanwhile, space modeling of objects corresponding to the object data is realized through the space shape, the space outline and the space position, so that not only is accurate position information description of the objects corresponding to the object data realized, but also the description of the logic positions of the objects corresponding to the object data is realized. The object position information corresponding to the object data can be searched without depending on longitude, latitude and altitude information, and the object position can be inquired only by the name or other definition information. Meanwhile, the query of the membership relationship can be realized based on the description information of the object data corresponding to the logic position of the object. Meanwhile, the invention can also realize the recording and updating of the dynamic accurate position and/or the dynamic logic position of the object corresponding to the object data, thereby realizing the functions of historical position tracing inquiry and real-time position inquiry of the object corresponding to the object data.

Example 2

On the basis of example 1, the use of the data graphical member of the present invention is taken as an example. The various data stored in the database of the spatio-temporal data are descriptions of objective things, such as temperature values, pressure values and flow values of a site, and these values are specific data, and spatial information of the spatio-temporal data object itself, such as spatial shape, spatial size, spatial position and time information, is not only defined and expressed in a natural language form, but also should be graphically displayed.

Taking space as an example, the shape of space is described by a polygonal figure member, which is a simple polygon in the model stage and does not represent any meaning, but in the stage of associating with a specific data object to be described, the polygonal member on the spatio-temporal data object shows the shape of the actual field device, because each space object has shape and geographic coordinates, and the coordinate point set can determine the position and size of the data object. Application scenarios with graphical members on the data objects: the method mainly uses graphs to visually reflect the spatial data information of the data. The map display can be supported by the objects to be described, because each piece of data has spatial information, when the data is inquired, the data can be displayed in the form of the map as long as the data objects are displayed in a geographical mode, and in the geographical space range of the data, other graphic members can be used for reflecting the information of other field process data members, so that the perfect combination of the map and the process data is realized.

Taking process data of a detection site as an example, the temperature value is a data member, a text graph member is generally defined to display the site temperature information on a screen, a circular graph member can be further defined, when the temperature reaches a certain value, not only the temperature value is output, but also the circular graph members can display different colors, therefore, the information transmitted to the user is more intuitive, if the information received by the brain of the user is characters, the characters are firstly associated to be some common graphs of the industry, then, the situation appearing on the spot is understood, if the industry graph is directly used for reflecting the detected data result, the invention reduces the process of converting data into information in human brain, so that the invention uses the graphic information of different industries to express the professional data of different industries, after the data is automatically collected, the data can be expressed by configuring different graphs.

Example 3

On the basis of the embodiment 1, the use of the data audio and video member of the invention is taken as an example. Through data acquisition, the acquired on-site audio and video data can be directly played at the display equipment end in the form of real-time data members. In the past, the monitoring and management can only collect data and then show the data by using some visual graphs. This is as if the previous sensor information member had only both hands for the user to have the visual image on the screen to reproduce the live information, but with the audio member and the video member, the user in the control room had eyes and ears to see a live image and listen to the live sound in real time.

The audio and video data are collected in real time and stored according to space-time granularity, for example, when a temperature alarm occurs in a shift, the audio and video data are used as a trigger condition to record on-site audio and video information when the temperature alarm occurs, and the recording is stopped after the temperature alarm disappears. When a user inquires a temperature alarm event object, the user can see time (alarm time is several minutes and disappears) and space information (specific equipment), and can also schedule on-site audio and video data information in the alarm generation process through audio and video members.

The use of the audio and video of the plan data is generally used as the site production guidance plan data, the use of the audio and video and binary system members is very wide, the so-called resource types comprise the types of audio and video, word, pdf, bmp pictures and the like, a specific resource file is associated or introduced to the corresponding resource types on a specific plan data object, and an operator at a site can call the information of different resource members when executing a site assembly task, wherein the resource can be a video, a pdf instruction book or an operation guidance audio recorded in advance.

The audio and video is also displayed and played through specific graphic members, for example, a live person clicks one text member, an audio playing function is triggered in the graphic calculation logic to play corresponding audio member information, a video playing button is provided, and clicking also triggers a video playing function, which plays corresponding video member information. These members can be freely defined by the user, and the names are arbitrarily set.

Embodiments 2 and 3 mainly illustrate the concept of nodulation, that is, by enriching data of data members, a user can realize various complex functions in the process of monitoring and managing system configuration, and the method is a solution with perfect fusion of structured and unstructured data, and the solution is realized by a configuration mode rather than a high-level language programming mode to fuse professional products.

Compared with other systems, the data does not need to be stored in different servers respectively, such as gis information on a geographic server, audio and video information on a multimedia server and graphic information on a separate server. The common implementation mode is that after an application program is developed, data is called from different servers and is integrated on an application platform or even a client. As such data is typically provided by different platform vendors.

The data are stored as members of the data after being spotted through a space-time database, namely the data are stored in our space-time database in the form of members of a certain data object to be described, and one space-time database handles the storage and query functions provided by different server manufacturers. The advantages of dotting are many: first, the storage and query of all data is solved with only one platform. Secondly, the information of an object can be expressed through more media means by nodularization, the traditional structured data is only some process data, and audio and video, graphics, geographic information and the like are introduced, so that the data can be expressed more vividly. Finally, the user does not need to be concerned about the storage of the member data, the member data is only one member of the member data, the member can access the audio and video, graph and position information of the data when the user inquires the data, the user also needs to be concerned about which field of which relation table of which database the data is stored in, here, the user only needs to know that the data is the real-time audio and real-time video, or the historical audio and historical video of which business object, or a plan guidance video, and the user can directly access and operate by accessing the corresponding audio and video member when accessing the real-time, historical or plan data, and the member can be completely self-defined, and theoretically has no length and number limitation.

Example 4

The present invention will be described by taking the definition of the object data as an example. The data definition comprises the definition of realizing the model base data and the definition of the engineering base data through a space dimension and/or a time dimension. The definition of the data is a process for modeling a time-space database based on the time attribute and the space attribute of the data. The time and space modeling of production data by the time and space database in the factory production process is taken as an example for explanation. A temporal model is a model that describes the granularity of time. For example, the time is divided into time particles of year, month, day, shift, hour, second, and the like. Meanwhile, the user can also freely define the time granularity, such as class, batch and the like. The space-time database is subjected to data modeling during use. During modeling, time and space are divided according to monitored and managed objects or items. For example, the time granularity is divided into years, months, days, shifts, hours, seconds.

The spatial granularity is divided into a head office, a branch factory, a workshop (warehouse), a production line, a process, stations, equipment and the like, for example, a Google map or a Baidu map is loaded through a spatial object editor, a corresponding coordinate system is selected and set in the map configuration, a spatial range of a Root node is drawn based on the geographical position of the head office, and a spatial object is drawn by using a rectangle/irregular multiple lines/points/broken lines in the spatial range of the Root node to obtain a first-level spatial model of the head office. And drawing a space object by using a rectangle/irregular polyline/point/polyline in the first-level space model to obtain a second-level space model related to the branch factory. And drawing a space object by using a rectangle/irregular polygon line/point/broken line in the second-level space model to obtain a third-level space model about a workshop. Therefore, the description of the production line space model, the space model of the process, the station space model and the equipment space model is realized by the method.

The data modeling includes modeling everything described. For example, a product is a single object, processing of the product is a matter, and ex-warehouse of the product is a matter. The quantity of products processed on a certain station or the performance of staff is also a matter, and the data modeling of the matter is realized in the space-time database. The data model includes a temporal model and a spatial model. For example, the performance model of the station processing, the station corresponds to the space, the shift or shift corresponds to the time, and the member of the data can be the work order number, the processing quantity, the alarm times, the rework times, etc. The data of the performance model is completed through a calculation model, namely, the production data change is detected through calculation, and the performance data is output to the performance model through timing statistics.

When the model is embodied to a certain factory, the factory instantiation is carried out on the built model. And correspondingly matching the space state of the description object corresponding to the object data with the space model, thereby realizing the space information labeling of the multi-level and/or multi-level description object. For example, the actual names of the branch plants, the names of the production lines, the names of the devices, and the names of the processes are specifically determined, which is space instantiation. The affiliation of each object is also determined during instantiation. Specifically, several shifts are determined in a day, and the time of each shift is determined, namely the time instantiation is carried out. The actual production line is involved with several process performance data in total, which is an instantiation of the performance data model. And the instantiation of calculation is also included, and related calculation of relevant performance data is involved, and the working time, the processing quantity, the alarm times, the rework times and the like are calculated according to the collected data.

After the system runs, the background of the system can automatically detect production information, record the production condition of each process and count the production performance of each station in real time. Thus, the production conditions of a factory are recorded in real time in the time-space database. And inquiring real-time and historical production data information in the scene model when the user needs to check.

Based on a time-space database, plan making is realized, and the plan is very easy to issue according to the decomposition of the plan of time and space. Planning generally specifies a total plan such as a whole plant year plan, and is divided into a whole plant month plan, a whole plant day plan, a whole plant shift plan, a workshop month plan, a workshop day plan and a workshop shift plan. The user only needs to decompose the plan into very fine granularity and then complete the monitoring of one time granularity and/or one space granularity, and the global monitoring of the plan project can be realized.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It is to be understood by persons skilled in the art that the present description is illustrative and not restrictive of the claims. The scope of the invention is defined by the claims and their equivalents.

Claims

1. A method of organizing object data, the method comprising:

classifying the object to be described into corresponding classes according to the natural attributes of the object so as to assign the class attributes which are predefined corresponding to the relevant classes to the data records which correspond to the object to be described and at least comprise the time attribute and the space attribute in advance,

according to the association of the natural attribute of the object to be described and the data model or data record containing the time attribute and the space attribute, the materialization containing the natural attribute, the time attribute and the space attribute is realized on the object to be described,

the method comprises the steps of defining unstructured data related to an object to be described as member information of the object to be described in a measuring point mode, and storing the member information containing the unstructured data to a database where corresponding data records are located on the basis of time attributes and/or space attributes.

2. The method of organizing object data according to claim 1, the method further comprising:

and the instantiated data records of the objects to be described stored in the real-time database, the historical database and the plan database are updated for the first time based on the spatial attributes including the spatial shape, the spatial contour and the spatial position description of the data.

3. The method of organizing object data according to claim 2, the method further comprising:

implementing a second update of the data records stored in the real-time database, the historical database, and the planning database after completion of the update of the spatial attributes based on temporal attributes including a temporal location, a start time, an end time, and/or an elapsed time,

the organization or the update of the object data comprises a definition process of the data and an operation process of the data, and the data definition comprises the definition of the model base data and the definition of the engineering base data which are realized through a space dimension and/or a time dimension.

4. The method of organizing object data of claim 3, the method further comprising:

completing member information retrieval of corresponding types of corresponding objects in corresponding time and space based on the types of the time information, the space information and the member information; or

Completing member information retrieval of the corresponding type of at least one object at a corresponding time point or in a corresponding time period based on the time information and the type of the member information; or

Based on the types of the space information and the member information, member information retrieval of corresponding types of corresponding objects in different time periods in corresponding spaces is completed; or

And completing member information retrieval of the corresponding type of at least one object in each time period and each space based on the type of the member information.

5. The method of organizing object data of claim 4, the method further comprising:

realizing state information retrieval of events and/or objects based on the spatial attribute description and/or the time attribute description of the data; or

Realizing state information retrieval of specific space different time periods for things and/or objects included in data corresponding to the spatial attribute description based on the spatial attribute description of the data; or

Realizing state information retrieval of different spaces at specific time for things and/or objects included in data corresponding to the time attribute description based on the time attribute description of the data; or

6. The method of organizing object data according to claim 5,

the types of member information include at least date, binary, resource, pen, brush, and font, wherein,

the resource type member information at least comprises unstructured data in one or more formats of 2D graphics, 3D graphics, texts, pictures, subset XML under standard universal markup language, HTML, reports, audio and video information related to the object to be described; the resource type member information is acquired through equipment import and/or bottom layer sensing unit acquisition.

7. The method of organizing object data of claim 6, the method further comprising:

narrowing down the query range of the description object in a condition filtering mode through the attribute value of the unstructured data,

the condition at least comprises a space attribute, a time attribute, a name attribute defined in a natural language and/or a specific time attribute and a specific space attribute of things and/or objects included in data corresponding to the time attribute description and the space attribute description;

the computed and processed unstructured data is stored to a real-time database, a historical database, and/or a planning database.

8. The method of organizing object data of claim 7, the method further comprising:

the unstructured data calculation and processing steps include at least data modification, data analysis processing, and data reading, wherein,

storing the modified data to a real-time database, a historical database and/or a planning database based on the unique member name data,

analyzing and processing the spatial attribute change data in the object to be described, extracting and storing member information related to the spatial attribute change data into a corresponding real-time database, a historical database and/or a plan database,

and reading the recorded data of the description object in the real-time database, the historical database and/or the plan database to a data cache channel so that a user can access and modify the unstructured data of the description object.

9. The method of organizing object data according to claim 8, the method further comprising:

and reading and writing a plurality of attributes of the member information based on the unique member name data.

10. Method for organizing object data according to one of the preceding claims, the method further comprising:

continuously acquiring unstructured member information based on the time attribute, the space attribute and/or the specific attribute of unstructured data, wherein the unstructured data comprises a plurality of layers of unstructured sub-member information which form the unstructured member information in an unstructured form,

acquiring the unstructured sub-member information level by level based on temporal attributes, spatial attributes and/or specific attributes in the unstructured member information,

computing, accessing and modifying the unstructured member information and/or the unstructured sub-member information on a level-by-level and/or on an ongoing basis.