CN114417448A - Data standard model design system and method based on Internet of things - Google Patents
Data standard model design system and method based on Internet of things Download PDFInfo
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- CN114417448A CN114417448A CN202210336945.5A CN202210336945A CN114417448A CN 114417448 A CN114417448 A CN 114417448A CN 202210336945 A CN202210336945 A CN 202210336945A CN 114417448 A CN114417448 A CN 114417448A
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Abstract
The invention discloses a data standard model design system and method based on the Internet of things. The data standard model design system comprises a data standard system and an engine factory. The data standard system comprises a data element management module, a data set management module and a visual interface; and the establishment and the update of the data standard model are uniformly managed by the data standard system. The engine factory is a container storing a specific data analysis engine, and the data analysis engine is an execution engine for analyzing and converting data. The method can perform standard analysis on the data when the equipment protocol is accessed, does not need to embed a file in the application using the data standard model technology, can dynamically update the data standard model, and does not need to restart and replace the file in the application using the data standard model technology. In addition, the system can establish a data standard model through a visual interface, and simplifies the operation process.
Description
Technical Field
The invention relates to a data standard model design system and method based on the Internet of things.
Background
According to the requirements of national medical data standards, the medical internet of things is not perfect. And the establishment of the data standard model can standardize the standard and quality of the medical Internet of things data and ensure the accuracy, integrity and consistency of the data.
The existing protobuf can enable the data to be analyzed between the cross-platform and cross-language application programs. The protobuf has the defects of strong dependence and the need of embedding a corresponding proto file in each application needing to use the data standard model technology, and the modification of the data standard model needs to modify and recompile the proto file, replace the original proto file in the application and restart the application. And the establishment of the data standard model has no delimitation, and the data standard model can be established only in a file.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a data standard model design system and method based on the Internet of things.
The method can perform standard analysis on the data when the equipment protocol is accessed, does not need to embed a file in the application using the data standard model technology, can dynamically update the data standard model, and does not need to restart and replace the file in the application using the data standard model technology. In addition, the system can establish a data standard model through a visual interface, and simplifies the operation process.
A data standard model design system based on the Internet of things comprises a data standard system and an engine factory.
The data standard system comprises a data element management module, a data set management module and a visual interface.
The data element management module is used for managing data elements, and the data elements are newly added in the data element management module by defining the attributes of the data elements.
The data set management module is used for managing data sets; the data set is newly added in the data set management module by defining the attribute and the data rule of the data set, the data set is stored after the attribute and the data rule of the data set are defined, the data set is a data standard model which is established, and the format and the analysis mode of the data are standardized by the defined data set.
The visual interface comprises a data element management interface and a data set management interface, is respectively and correspondingly applied to the data element management module and the data set management module, is used for displaying a data element list and a data set list, and completes data element management and data set management by operating on the data element management interface and the data set management interface.
The engine factory is a container storing a specific data analysis engine, the data analysis engine is an execution engine for analyzing and converting data, an interface for inquiring a data set from a data standard system is written, and the data analysis engine is called by the engine factory through an application using a data standard model technology.
The data analysis engine queries a data set from a data standard system according to a serialized dictionary and a structural body classification in a data stream under an application scene, analyzes data according to attributes and data rules of the data set and generates platform standard data.
Further, the data element attributes include code, identifier, name, category and description.
Further, the attributes of the data set comprise a serialization dictionary, a structure identification, an identifier and a name; the definition data rule is to select one or more data elements to carry out permutation and combination and rule making.
Further, the establishment and the updating of the data standard model are uniformly managed through a data standard system. When a data standard model is updated in a data standard system, other applications that require the use of data standard model techniques may query the updated data standard model.
Furthermore, the engine factory supports registration of a plurality of analysis engines, and not only can register the analysis engines of the data standard system, but also can register the analysis engines of other third parties.
A data standard model design method based on the Internet of things comprises the following steps.
And (1) determining an application scene.
And (2) managing dictionary items of the serialized dictionary and the structural body classification on the data standard system according to the application scene, and defining data elements.
And (3) creating a data set of the application scene on the data standard system.
And (4) when the data flow in, acquiring a data analysis engine from an engine factory, and inquiring the data standard model definition and analyzing the protocol to generate data by the data analysis engine.
Further, the definition data elements in step (2) are specifically as follows.
The method comprises the steps of operating a data element management module through a data element management interface in a visual interface, defining attributes of data elements according to application scenes, and adding new data elements in the data element management module, wherein the attributes of the data elements comprise codes, identifiers, names, classifications and descriptions.
Further, the specific method of step (3) is as follows.
And operating the data set management module through a data set management interface in the visual interface, newly adding a data set in the data set management module according to the attribute and the data rule of the application scene definition data set, and storing the data set after defining the attribute and the data rule of the data set, so that the data set is the established data standard model. The well-defined data set then specifies the format and the way of parsing such data. The attributes of the data set comprise a serialization dictionary, a structure body identifier, an identifier and a name; the definition data rule is to select one or more data elements to carry out permutation and combination and rule making.
Further, the specific method of step (4) is as follows.
The data are transmitted into an application using a data standard model technology, a serialization dictionary and a structural body classification in the data are intercepted, a corresponding data analysis engine is obtained from an engine factory, the data analysis engine inquires a corresponding data standard model, namely a corresponding data set, from a data standard system according to the serialization dictionary and the structural body classification in the data stream, and the data are analyzed according to attributes and rules of the corresponding data set to generate platform standard data.
The invention has the following beneficial effects.
1. In the prior art, a file of a data standard model is required to be embedded in an application using a data standard model technology for analysis. The invention can carry out standard analysis on the data when accessing the equipment protocol, does not need to embed files in the application using the data standard model technology, can dynamically update the data standard model, and does not need to restart and replace the files in the application.
2. The system can establish a data standard model through a visual interface, and has the advantages of strong readability and easy reading and editing.
3. The data standard model of the prior art cannot be dynamically updated. The present invention may provide for online definition of a data standard model (i.e., a data set that defines attributes and data rules), and may dynamically update the data standard model. The establishment and the update of the data standard model are managed uniformly in the data standard system. When the data standard model is updated in the data standard system, other applications needing to use the data standard model technology query the updated data standard model (the core of the data parsing engine is to query the latest data standard model from the data standard system in real time).
Drawings
FIG. 1 is a schematic diagram of a data standard model building process according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a data parsing process according to an embodiment of the present invention.
FIG. 3 is a schematic structural diagram of a data standard model design system according to an embodiment of the present invention.
Detailed Description
The method of the invention is further described below with reference to the accompanying drawings and examples.
Data element: a data unit described by a series of attributes, such as identification, definition, identification, and allowed values, is a non-differentiable minimum data unit.
Data set: is a collection of data consisting of essential, basic data elements under a particular theme. Is a standardized requirement for a substantial range of data elements for which records must be acquired.
Data standard model: is to create a combination of the data set's own properties and pairs of data elements.
Serialization: the state information of the data is converted into a process that can be stored or transmitted. I.e. the process of converting data into a byte stream.
A serialization dictionary: the serialization is defined and described as the set of all serialization definitions.
Structural body classification: and distinguishing the traffic classification and the scene of the data.
A data analysis engine: and the execution engine is used for analyzing and converting the data.
An engine factory: a container of a specific data parsing engine is stored.
FIG. 1 is a schematic diagram of a data standard model building process according to an embodiment of the present invention.
And (3) establishing a data standard model, which comprises the following steps.
And step 1, adding a data element.
The attributes (encoding, identifier, name, classification, description) of the data elements are defined.
And 2, adding a data set.
Attributes (serialization dictionary, structure identification, identifier, name) of the dataset are defined.
And 3, after the data set attribute is defined, popping up a popup box of a data element list on the current page, and selecting one or more data elements to perform permutation and combination and rule formulation, namely defining a data rule.
And 4, storing the data set after defining the attributes and the rules of the data set, wherein the data set is the established data standard model.
Fig. 2 is a schematic diagram of a data parsing process according to an embodiment of the present invention.
The data analysis process comprises the following steps.
And step 1, data under a specific application scene flows into other applications needing to use a data standard model technology.
And 2, acquiring a data analysis engine from an engine factory by using the application of the data standard model technology (one of the cores of the engine is to write an interface for querying a data set from a data standard system, and the engine is written in a development stage).
And 3, inquiring a data standard model (namely a defined data set) by the analysis engine.
And 4, analyzing the data according to the inquired data set by the analysis engine and generating a data format of the platform specification.
FIG. 3 is a schematic structural diagram of a data standard model design system according to an embodiment of the present invention.
A data standard model design system based on the Internet of things comprises a data standard system and an engine factory.
The data standard system comprises a data element management module, a data set management module and a visual interface.
The data element management module is used for managing data elements, and data elements are newly added in the data element management module by defining the attributes of the data elements, wherein the data element attributes comprise codes, identifiers, names, classifications and descriptions.
The data set management module is used for managing data sets; newly adding a data set in a data set management module by defining the attribute and the data rule of the data set, storing the data set after defining the attribute and the data rule of the data set, wherein the data set is a built data standard model, and the format and the analysis mode of the data are standardized by the defined data set; the attributes of the data set comprise a serialization dictionary, a structure body identification, an identifier and a name; the data rule is defined by selecting one or more data elements to carry out permutation and combination and making a rule.
The visual interface comprises a data element management interface and a data set management interface, is respectively correspondingly applied to the data element management module and the data set management module, is used for displaying a data element list and a data set list, and completes data element management and data set management by operating on the data element management interface and the data set management interface.
The engine factory is a container for storing a specific data analysis engine, the data analysis engine is an execution engine for analyzing and converting data, an interface for querying a data set from a data standard system is written, and the data analysis engine needs to be called by the engine factory through an application of a data standard model technology.
And the data analysis engine queries a data set from the data standard system according to the serialized dictionary and the structural body classification in the data stream under the application scene, analyzes the data according to the attribute and the data rule of the data set and generates platform specification data.
The engine factory supports the registration of a plurality of analysis engines, and not only can register the analysis engines of the data standard system, but also can register the analysis engines of other third parties.
A data standard model design method based on the Internet of things comprises the following steps.
And (1) determining an application scene.
And (2) managing dictionary items of the serialized dictionary and the structural body classification on the data standard system according to the application scene, and defining data elements.
The method comprises the steps of operating a data element management module through a data element management interface in a visual interface, defining attributes of data elements according to application scenes, and adding new data elements in the data element management module, wherein the attributes of the data elements comprise codes, identifiers, names, classifications and descriptions.
And (3) creating a data set of the application scene.
And operating the data set management module through a data set management interface in the visual interface, newly adding a data set in the data set management module according to the attribute and the data rule of the application scene definition data set, and storing the data set after defining the attribute and the data rule of the data set, so that the data set is the established data standard model. The well-defined data set then specifies the format and the way of parsing such data. The attributes of the data set comprise a serialization dictionary, a structure body identifier, an identifier and a name; the definition data rule is to select one or more data elements to carry out permutation and combination and rule making.
And (4) when the data flow in, acquiring a data analysis engine from an engine factory, and inquiring the data standard model definition and analyzing the protocol to generate data by the data analysis engine.
The data is transmitted to an application using a data standard model technology, a serialization dictionary and a structure classification in the data are intercepted by the application, a corresponding data analysis engine is obtained from an engine factory (the engine factory and the analysis engine are both written in a development stage, and one of the cores of the data analysis engine is writing an interface for inquiring a data set from a data standard system), the data analysis engine inquires the corresponding data standard model, namely the corresponding data set, from the data standard system according to the serialization dictionary and the structure classification in a data stream, and the data is analyzed according to the attribute and the rule of the corresponding data set to generate the standard data.
Example 1: a probe platform.
The overall process involves three parts: a probe program, a probe platform and a data standard system.
The probe program and the probe platform need to perform data interaction, and the data standard system is responsible for analyzing data.
The data standard system is a unified management system for the data standard model (the design of the data standard model is completed by the management of data elements and data sets).
The data standard system defines a data set. And the probe program and the probe platform generate a data stream according to the specification of the data set and push the data stream to the other party. And after receiving the data stream, the two parties acquire a data analysis engine of the data standard system from an engine factory, the data analysis engine inquires a data set from the data standard system, analyzes the data stream according to the definition of the data set and generates platform standard data.
Claims (10)
1. A data standard model design system based on the Internet of things is characterized by comprising a data standard system and an engine factory;
the data standard system comprises a data element management module, a data set management module and a visual interface;
the data element management module is used for managing data elements and adding the data elements in the data element management module by defining the attributes of the data elements;
the data set management module is used for managing data sets; newly adding a data set in a data set management module by defining the attribute and the data rule of the data set, storing the data set after defining the attribute and the data rule of the data set, wherein the data set is a built data standard model, and the format and the analysis mode of the data are standardized by the defined data set;
the visual interface comprises a data element management interface and a data set management interface, is respectively correspondingly applied to the data element management module and the data set management module, is used for displaying a data element list and a data set list, and completes data element management and data set management by operating on the data element management interface and the data set management interface;
the engine factory is a container storing a specific data analysis engine, the data analysis engine is an execution engine for analyzing and converting data, an interface for inquiring a data set from a data standard system is written, and the data analysis engine is called by the engine factory through an application using a data standard model technology.
2. The system of claim 1, wherein the data parsing engine queries a data set from the data standard system according to a serialized dictionary and structure classification in a data stream under an application scenario, parses data according to attributes and data rules of the data set, and generates platform specification data.
3. The system of claim 1, wherein the data meta-attributes include code, identifier, name, category, and description.
4. The system of claim 1, wherein the attributes of the data set include a serialization dictionary, a structure identifier, an identifier, a name; the definition data rule is to select one or more data elements to carry out permutation and combination and rule making.
5. The system for designing the data standard model based on the Internet of things according to any one of claims 1 to 4, wherein the establishment and the update of the data standard model are uniformly managed by the data standard system; when a data standard model is updated in a data standard system, other applications that require the use of data standard model techniques may query the updated data standard model.
6. The system of claim 1, wherein the engine factory supports registration of multiple parsing engines, and can support registration of not only parsing engines of the data standard system, but also parsing engines of other third parties.
7. A data standard model design method based on the Internet of things is characterized by comprising the following steps:
step (1), determining an application scene;
step (2), managing dictionary items of the serialized dictionary and the structural body classification on a data standard system according to the application scene, and defining data elements;
step (3), creating a data set of the application scene on a data standard system;
and (4) when the data flow in, acquiring a data analysis engine from an engine factory, and inquiring the data standard model definition and analyzing the protocol to generate data by the data analysis engine.
8. The method for designing the data standard model based on the internet of things as claimed in claim 7, wherein the definition data elements in the step (2) are as follows
The method comprises the steps of operating a data element management module through a data element management interface in a visual interface, defining attributes of data elements according to application scenes, and adding new data elements in the data element management module, wherein the attributes of the data elements comprise codes, identifiers, names, classifications and descriptions.
9. The method for designing the data standard model based on the internet of things according to claim 8, wherein the specific method in the step (3) is as follows:
operating the data set management module through a data set management interface in the visual interface, newly adding a data set in the data set management module according to the attribute and the data rule of the application scene definition data set, and storing the data set after defining the attribute and the data rule of the data set, wherein the data set is the established data standard model; the well-defined data set standardizes the format and the analysis mode of the data; the attributes of the data set comprise a serialization dictionary, a structure body identifier, an identifier and a name; the definition data rule is to select one or more data elements to carry out permutation and combination and rule making.
10. The method for designing the data standard model based on the internet of things according to claim 9, wherein the specific method in the step (4) is as follows:
the data are transmitted into an application using a data standard model technology, a serialization dictionary and a structural body classification in the data are intercepted, a corresponding data analysis engine is obtained from an engine factory, the data analysis engine inquires a corresponding data standard model, namely a corresponding data set, from a data standard system according to the serialization dictionary and the structural body classification in the data stream, and the data are analyzed according to attributes and rules of the corresponding data set to generate platform standard data.
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| CN109697062A (en) * | 2019-01-14 | 2019-04-30 | 深圳孟德尔软件工程有限公司 | A kind of multi-source data exchange system and fusion method |
| CN111400382A (en) * | 2020-03-03 | 2020-07-10 | 湖南长信畅中科技股份有限公司 | Model-driven data integration middleware and implementation method |
| CN112395325A (en) * | 2020-11-27 | 2021-02-23 | 广州光点信息科技有限公司 | Data management method, system, terminal equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109697062A (en) * | 2019-01-14 | 2019-04-30 | 深圳孟德尔软件工程有限公司 | A kind of multi-source data exchange system and fusion method |
| CN111400382A (en) * | 2020-03-03 | 2020-07-10 | 湖南长信畅中科技股份有限公司 | Model-driven data integration middleware and implementation method |
| CN112395325A (en) * | 2020-11-27 | 2021-02-23 | 广州光点信息科技有限公司 | Data management method, system, terminal equipment and storage medium |
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