CN115639997B - Method and system for describing OPC UA information model in JSON format - Google Patents
Method and system for describing OPC UA information model in JSON format Download PDFInfo
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Abstract
The invention provides a method and a system for describing an OPC UA information model in a JSON format. The method comprises the following steps: in the data interaction process, extracting JSON format files generated in the data interaction in real time; describing the nodes of the OPC UA protocol by utilizing a JSON format file to obtain the node information of the OPC UA protocol; describing the node numerical information of the OPC UA protocol by utilizing a JSON format file to obtain the node numerical information of the OPC UA protocol; describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to obtain the node reference relation information of the OPC UA protocol; and describing an OPC UA information model by using the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol. The system comprises modules corresponding to the method steps.
Description
Technical Field
The invention provides a method and a system for describing an OPC UA information model in a JSON format, and belongs to the technical field of Internet.
Background
OPC UA uses objects (objects) as the basis for process system representation data and activity. Objects contain variables, events and methods that are interconnected by references. This concept is very similar to the object-oriented programming approach. The OPC UA information model is a Network of nodes, or a structured graph (graph), consisting of nodes and References, which is called the address space of OPC UA. Such a graphical structure may describe a wide variety of structured information (objects). At present, an OPC UA information model is described in a file form, and is usually described by using an XML file, and the problem of poor readability and low analysis speed easily occurs in the description mode.
Disclosure of Invention
The invention provides a method and a system for describing an OPC UA information model in a JSON format, which are used for solving the problems of poor readability and low analysis speed generated by using an XML file to describe the OPC UA information model in the existing method, and the adopted technical scheme is as follows:
a method of JSON format description OPC UA information model, the method comprising:
in the data interaction process, extracting JSON format files generated in the data interaction in real time;
describing the nodes of the OPC UA protocol by utilizing a JSON format file to obtain the node information of the OPC UA protocol;
describing the node numerical information of the OPC UA protocol by utilizing a JSON format file to obtain the node numerical information of the OPC UA protocol;
describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to obtain the node reference relation information of the OPC UA protocol;
and describing an OPC UA information model by using the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol.
Further, each OPC UA information model only contains one JSON object, and the JSON object is a uarodeset; the sub-objects corresponding to each UANodeset comprise NamespaceUris and Aliases.
Further, in the data interaction process, extracting the JSON format file generated in the data interaction in real time, including:
scanning all data files generated in the data interaction process in real time;
extracting JSON format files generated in a preset first acquisition time period;
detecting whether the number of JSON format files generated in unit time meets the number of files required by the current OPC UA information model description, and if not, acquiring and extracting the JSON format files according to a second acquisition time period;
the setting constraint conditions of the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein T is 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a is that 1 Representing the corresponding quantity of JSON format files generated in the data interaction process in the first time period; a represents the total number of files of all types generated during the data interaction in the first time period.
Further, describing the node of the OPC UA protocol by utilizing the JSON format file to obtain the node information of the OPC UA protocol, including
Identifying and extracting node attributes of each JSON format file;
taking the node attribute as a child member corresponding to one JSON object contained in the OPC UA information model; the node attribute is node information of the OPC UA protocol.
A system for JSON format description of OPC UA information model, the system comprising:
the real-time extraction module is used for extracting JSON format files generated in the data interaction in real time in the data interaction process;
the node information acquisition module is used for describing the nodes of the OPC UA protocol by utilizing the JSON format file to acquire the node information of the OPC UA protocol;
the internal numerical information acquisition module is used for describing the node internal numerical information of the OPC UA protocol by utilizing a JSON format file to acquire the node internal numerical information of the OPC UA protocol;
the reference relation acquisition module is used for describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to acquire the node reference relation information of the OPC UA protocol;
and the description module is used for describing the OPC UA information model by utilizing the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol.
Further, each OPC UA information model only contains one JSON object, and the JSON object is a uarodeset; the sub-objects corresponding to each UANodeset comprise NamespaceUris and Aliases.
Further, the real-time extraction module includes:
the file data acquisition module is used for scanning all data files generated in the data interaction process in real time;
the first extraction module is used for extracting JSON format files generated in a preset first acquisition time period;
the second extraction module is used for detecting whether the number of JSON format files generated in unit time meets the number of files required by the current OPC UA information model description, and if the number of files required by the current period model description is not met, the JSON format files are acquired and extracted according to a second acquisition time period;
the setting constraint conditions of the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein T is 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a is that 1 Representing the corresponding quantity of JSON format files generated in the data interaction process in the first time period; a represents the total number of files of all types generated during the data interaction in the first time period.
Further, the node information acquisition module includes
The node attribute extraction module is used for identifying and extracting the node attribute of each JSON format file;
the child member forming module is used for taking the node attribute as a child member corresponding to one JSON object contained in the OPC UA information model; the node attribute is node information of the OPC UA protocol.
The invention has the beneficial effects that:
according to the method and the system for describing the OPC UA information model in the JSON format, the OPC UA information model is described through the JSON format file, so that the readability and the analysis speed of the description of the OPC UA information model can be effectively improved; meanwhile, the space capacity occupied by the file can be effectively reduced by describing the OPC UA information model through the JSON-format file, and the development efficiency of the OPC UA information model and the overall performance of the model can be effectively improved by describing the OPC UA information model through the JSON-format file.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a system block diagram of the system of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a method for describing an OPC UA information model in a JSON format, which comprises the following steps as shown in figure 1:
s1, extracting a JSON format file generated in data interaction in real time in the data interaction process;
s2, describing the nodes of the OPC UA protocol by utilizing a JSON format file to obtain the node information of the OPC UA protocol;
s3, describing the numerical information in the nodes of the OPC UA protocol by utilizing a JSON format file to obtain the numerical information in the nodes of the OPC UA protocol;
s4, describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to obtain the node reference relation information of the OPC UA protocol;
and S5, describing an OPC UA information model by using the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol.
Only one JSON object is contained in each OPC UA information model, and the JSON object is UANodeSet; the sub-objects corresponding to each UANodeset comprise NamespaceUris and Aliases.
The working principle of the technical scheme is as follows: firstly, in the data interaction process, extracting JSON format files generated in the data interaction in real time; then, describing the nodes of the OPC UA protocol by utilizing a JSON format file to obtain the node information of the OPC UA protocol; describing the node numerical information of the OPC UA protocol by utilizing a JSON format file to obtain the node numerical information of the OPC UA protocol; describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to obtain the node reference relation information of the OPC UA protocol; and finally, describing an OPC UA information model by using the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol.
The technical scheme has the effects that: the method for describing the OPC UA information model by the JSON format provided by the embodiment can effectively improve the readability and the analysis speed of the description of the OPC UA information model by describing the OPC UA information model by the JSON format file; meanwhile, the space capacity occupied by the file can be effectively reduced by describing the OPC UA information model through the JSON-format file, and the development efficiency of the OPC UA information model and the overall performance of the model can be effectively improved by describing the OPC UA information model through the JSON-format file.
In one embodiment of the present invention, during a data interaction process, a JSON format file generated during the data interaction is extracted in real time, including:
s101, scanning all data files generated in the data interaction process in real time;
s102, extracting JSON format files generated in a preset first acquisition time period;
s103, detecting whether the number of JSON format files generated in unit time meets the number of files required by the current OPC UA information model description, and if not, acquiring and extracting the JSON format files according to a second acquisition time period;
the setting constraint conditions of the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein T is 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a is that 1 Representing the corresponding quantity of JSON format files generated in the data interaction process in the first time period; a represents the total number of files of all types generated during the data interaction in the first time period.
The working principle of the technical scheme is as follows: firstly, scanning all data files generated in the data interaction process in real time; then, extracting JSON format files generated in a preset first acquisition time period; and finally, detecting whether the number of the JSON format files generated in the unit time meets the number of files required by the current OPC UA information model description, and if not, acquiring and extracting the JSON format files according to a second acquisition time period.
The technical scheme has the effects that: through the setting of the first acquisition time period and the second acquisition time period and the setting of the constraint conditions of the second acquisition time period, the quantity efficiency of JSON format files can be effectively improved, and the overall efficiency of OPC UA information model description is further improved.
One embodiment of the invention uses JSON format file to describe the nodes of OPC UA protocol to obtain the node information of OPC UA protocol, comprising
S201, identifying and extracting node attributes of each JSON format file;
s202, taking the node attribute as a child member corresponding to one JSON object contained in the OPC UA information model; the node attribute is node information of the OPC UA protocol.
The working principle of the technical scheme is as follows: firstly, identifying and extracting node attributes of each JSON format file; and then, taking the node attribute as a child member corresponding to one JSON object contained in the OPC UA information model.
The technical scheme has the effects that: the OPC UA information model is described through the JSON format file, so that the readability and the analysis speed of the OPC UA information model description can be effectively improved; meanwhile, the space capacity occupied by the file can be effectively reduced by describing the OPC UA information model through the JSON-format file, and the development efficiency of the OPC UA information model and the overall performance of the model can be effectively improved by describing the OPC UA information model through the JSON-format file.
The embodiment of the invention provides a system for describing an OPC UA information model in a JSON format, which comprises the following steps:
the real-time extraction module is used for extracting JSON format files generated in the data interaction in real time in the data interaction process;
the node information acquisition module is used for describing the nodes of the OPC UA protocol by utilizing the JSON format file to acquire the node information of the OPC UA protocol;
the internal numerical information acquisition module is used for describing the node internal numerical information of the OPC UA protocol by utilizing a JSON format file to acquire the node internal numerical information of the OPC UA protocol;
the reference relation acquisition module is used for describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to acquire the node reference relation information of the OPC UA protocol;
and the description module is used for describing the OPC UA information model by utilizing the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol.
Only one JSON object is contained in each OPC UA information model, and the JSON object is UANodeSet; the sub-objects corresponding to each UANodeset comprise NamespaceUris and Aliases.
The working principle of the technical scheme is as follows: firstly, extracting JSON format files generated in data interaction in real time through a real-time extraction module in the data interaction process; then, describing the nodes of the OPC UA protocol by utilizing a JSON format file through a node information acquisition module to acquire the node information of the OPC UA protocol; describing the node numerical information of the OPC UA protocol by using a JSON format file through an internal numerical information acquisition module to acquire the node numerical information of the OPC UA protocol; describing the node reference relation of the OPC UA protocol by using a JSON format file through a reference relation acquisition module to acquire node reference relation information of the OPC UA protocol; and finally, describing an OPC UA information model by using the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol by using a description module.
The technical scheme has the effects that: the system for describing the OPC UA information model by the JSON format provided by the embodiment can effectively improve the readability and the analysis speed of the description of the OPC UA information model by describing the OPC UA information model by the JSON format file; meanwhile, the space capacity occupied by the file can be effectively reduced by describing the OPC UA information model through the JSON-format file, and the development efficiency of the OPC UA information model and the overall performance of the model can be effectively improved by describing the OPC UA information model through the JSON-format file.
In one embodiment of the present invention, the real-time extraction module includes:
the file data acquisition module is used for scanning all data files generated in the data interaction process in real time;
the first extraction module is used for extracting JSON format files generated in a preset first acquisition time period;
the second extraction module is used for detecting whether the number of JSON format files generated in unit time meets the number of files required by the current OPC UA information model description, and if the number of files required by the current period model description is not met, the JSON format files are acquired and extracted according to a second acquisition time period;
the setting constraint conditions of the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein T is 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a is that 1 Representing a first period of timeThe corresponding quantity of JSON format files generated in the internal data interaction process; a represents the total number of files of all types generated during the data interaction in the first time period.
The working principle of the technical scheme is as follows: firstly, scanning all data files generated in the data interaction process in real time through a file data acquisition module; then, extracting a JSON format file generated in a first acquisition time period by adopting a first extraction module in the preset first acquisition time period; finally, a second extraction module is adopted to detect whether the number of JSON format files generated in unit time meets the number of files required by the current OPC UA information model description, and if the number of files required by the current period model description is not met, JSON format file acquisition and extraction are carried out according to a second acquisition time period;
the technical scheme has the effects that: through the setting of the first acquisition time period and the second acquisition time period and the setting of the constraint conditions of the second acquisition time period, the quantity efficiency of JSON format files can be effectively improved, and the overall efficiency of OPC UA information model description is further improved.
One embodiment of the invention provides that the node information acquisition module comprises
The node attribute extraction module is used for identifying and extracting the node attribute of each JSON format file;
the child member forming module is used for taking the node attribute as a child member corresponding to one JSON object contained in the OPC UA information model; the node attribute is node information of the OPC UA protocol.
The working principle of the technical scheme is as follows: firstly, identifying and extracting node attributes of each JSON format file through a node attribute extraction module; then, using a sub-member forming module to take the node attribute as a sub-member corresponding to one JSON object contained in the OPC UA information model; the node attribute is node information of the OPC UA protocol.
The technical scheme has the effects that: the OPC UA information model is described through the JSON format file, so that the readability and the analysis speed of the OPC UA information model description can be effectively improved; meanwhile, the space capacity occupied by the file can be effectively reduced by describing the OPC UA information model through the JSON-format file, and the development efficiency of the OPC UA information model and the overall performance of the model can be effectively improved by describing the OPC UA information model through the JSON-format file.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. A method for describing an OPC UA information model in JSON format, the method comprising:
in the data interaction process, extracting JSON format files generated in the data interaction in real time;
describing the nodes of the OPC UA protocol by utilizing a JSON format file to obtain the node information of the OPC UA protocol;
describing the node numerical information of the OPC UA protocol by utilizing a JSON format file to obtain the node numerical information of the OPC UA protocol;
describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to obtain the node reference relation information of the OPC UA protocol;
describing an OPC UA information model by utilizing node information, numerical value information in the node and node reference relation information of the OPC UA protocol;
in the data interaction process, in the actual data interaction process, extracting the JSON format file generated in the data interaction in real time, wherein the JSON format file comprises the following steps:
scanning all data files generated in the data interaction process in real time;
extracting JSON format files generated in a preset first acquisition time period;
detecting whether the number of JSON format files generated in unit time meets the number of files required by the current OPC UA information model description, and if not, acquiring and extracting the JSON format files according to a second acquisition time period;
the setting constraint conditions of the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein T is 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a is that 1 Representing the corresponding quantity of JSON format files generated in the data interaction process in the first time period; a represents the total number of files of all types generated during the data interaction in the first time period.
2. The method of claim 1, wherein only one JSON object is contained in each OPC UA information model, and wherein the JSON object is a uarnodeset; the sub-objects corresponding to each UANodeset comprise NamespaceUris and Aliases.
3. The method of claim 1, wherein describing the nodes of the OPC UA protocol with JSON format files to obtain node information of the OPC UA protocol includes identifying node attributes of each of the JSON format files; taking the node attribute as a child member corresponding to one JSON object contained in the OPC UA information model; the node attribute is node information of the OPC UA protocol.
4. A system for JSON format description of OPC UA information model, the system comprising:
the real-time extraction module is used for extracting JSON format files generated in the data interaction in real time in the data interaction process;
the node information acquisition module is used for describing the nodes of the OPC UA protocol by utilizing the JSON format file to acquire the node information of the OPC UA protocol;
the internal numerical information acquisition module is used for describing the node internal numerical information of the OPC UA protocol by utilizing a JSON format file to acquire the node internal numerical information of the OPC UA protocol;
the reference relation acquisition module is used for describing the node reference relation of the OPC UA protocol by utilizing a JSON format file to acquire the node reference relation information of the OPC UA protocol;
the description module is used for describing an OPC UA information model by utilizing the node information, the numerical value information in the node and the node reference relation information of the OPC UA protocol;
wherein, the real-time extraction module includes:
the file data acquisition module is used for scanning all data files generated in the data interaction process in real time;
the first extraction module is used for extracting JSON format files generated in a preset first acquisition time period;
the second extraction module is used for detecting whether the number of JSON format files generated in unit time meets the number of files required by the current OPC UA information model description, and if the number of files required by the current period model description is not met, the JSON format files are acquired and extracted according to a second acquisition time period;
the setting constraint conditions of the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein T is 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a is that 1 Representing the corresponding quantity of JSON format files generated in the data interaction process in the first time period; a represents the total number of files of all types generated during the data interaction in the first time period.
5. The system of claim 4, wherein only one JSON object is contained in each OPC UA information model, and wherein the JSON object is a uarnodeset; the sub-objects corresponding to each UANodeset comprise NamespaceUris and Aliases.
6. The system of claim 4, wherein the node information acquisition module comprises:
the node attribute extraction module is used for identifying and extracting the node attribute of each JSON format file;
the child member forming module is used for taking the node attribute as a child member corresponding to one JSON object contained in the OPC UA information model; the node attribute is node information of the OPC UA protocol.
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