CN115639997A - Method and system for describing OPC UA information model by JSON format - Google Patents
Method and system for describing OPC UA information model by JSON format Download PDFInfo
- Publication number
- CN115639997A CN115639997A CN202211280403.7A CN202211280403A CN115639997A CN 115639997 A CN115639997 A CN 115639997A CN 202211280403 A CN202211280403 A CN 202211280403A CN 115639997 A CN115639997 A CN 115639997A
- Authority
- CN
- China
- Prior art keywords
- opc
- information
- protocol
- node
- json format
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000003993 interaction Effects 0.000 claims abstract description 45
- 238000000605 extraction Methods 0.000 claims description 27
- 230000000694 effects Effects 0.000 description 7
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
Images
Landscapes
- Communication Control (AREA)
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: extracting a JSON format file generated in the data interaction in real time in the data interaction process; describing nodes of an OPC UA protocol by using a JSON format file to obtain node information of the OPC UA protocol; describing the numerical value information in the nodes of the OPC UA protocol by using a JSON format file to obtain the numerical value information in the nodes of the OPC UA protocol; describing the node reference relationship of an OPC UA protocol by using a JSON format file to obtain the node reference relationship information of the OPC UA protocol; and 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. 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, belonging to the technical field of internet.
Background
OPC UA uses objects as a basis for process system representation data and activities. Objects contain variables, events and methods, which are interconnected by references (references). This concept is very similar to the object-oriented programming approach. The OPC UA information model is a Network of nodes (or called a structured graph) and is composed of nodes (nodes) and References (References), and this structured graph is called an address space of OPC UA. Such a graphical structure may describe a wide variety of structured information (objects). At present, the OPC UA information model is described in a file form, and is generally described by using an XML file, and this description mode is prone to the problems of poor readability and low analysis speed.
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 resolving speed caused by using an XML file to describe the OPC UA information model in the prior art, and adopt the following technical scheme:
a method for a JSON format to describe an OPC UA information model, the method comprising:
extracting a JSON format file generated in the data interaction in real time in the data interaction process;
describing the nodes of the OPC UA protocol by using a JSON format file to obtain the node information of the OPC UA protocol;
describing the numerical value information in the nodes of the OPC UA protocol by using a JSON format file to obtain the numerical value information in the nodes of the OPC UA protocol;
describing the node reference relationship of an OPC UA protocol by using a JSON format file to obtain the node reference relationship information of the OPC UA protocol;
and 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.
Furthermore, each OPC UA information model only comprises a JSON object, and the JSON object is UANodeSet; and each sub-object corresponding to the UANodeSet comprises 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 a JSON format file generated in a first acquisition time period 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 current OPC UA information model description, and if the number of files does not meet the number of files required by current time period model description, acquiring and extracting the JSON format files according to a second acquisition time period;
wherein, the constraint conditions for setting the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein, T 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a. The 1 Representing the number corresponding to JSON format files generated in the data interaction process in a first time period; a represents the total number of files of all types generated in the data interaction process in the first time period.
Furthermore, the JSON format file is used for describing the nodes of the OPC UA protocol to obtain the node information of the OPC UA protocol, which comprises
Identifying and extracting the node attribute of each JSON format file;
taking the node attribute as a sub-member corresponding to a JSON object contained in the OPC UA information model; wherein, the node attribute is the node information of the OPC UA protocol.
A system for describing OPC UA information models in JSON format, the system comprising:
the real-time extraction module is used for extracting the JSON format file 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 using the JSON format file to acquire the node information of the OPC UA protocol;
the internal numerical value information acquisition module is used for describing the internal numerical value information of the nodes of the OPC UA protocol by using a JSON format file to acquire the internal numerical value information of the nodes 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.
Furthermore, each OPC UA information model only comprises a JSON object, and the JSON object is UANodeSet; and each sub-object corresponding to the UANodeSet comprises NamespaceUris and Aliases.
Further, the real-time extraction module comprises:
the file data acquisition module is used for scanning all data files generated in the data interaction process in real time;
the device comprises a first extraction module, a second extraction module and a third extraction module, wherein the first extraction module is used for extracting a JSON format file generated in a first acquisition time period 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 current OPC UA information model description, and if the number of files does not meet the number of files required by current time period model description, JSON format files are collected and extracted according to a second collection time period;
wherein, the constraint conditions for setting the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein, T 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a. The 1 Representing JSON format generated in the data interaction process in the first time periodThe number of files; a represents the total number of files of all types generated in the data interaction process in the first time period.
Further, 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;
a sub-member forming module, configured to use the node attribute as a sub-member corresponding to a JSON object included in the OPC UA information model; wherein, the node attribute is the node information of the OPC UA protocol.
The invention has the beneficial effects that:
the method and the system for describing the OPC UA information model in the JSON format, which are provided by the invention, describe the OPC UA information model through the file in the JSON format, so that the readability and the resolving speed of the description of the OPC UA information model can be effectively improved; meanwhile, the space capacity occupied by the files can be effectively reduced by describing the OPC UA information model through the JSON format files, 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 files.
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 in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a method for describing an OPC UA information model by a JSON format, which comprises the following steps of:
s1, extracting a JSON format file generated in data interaction in real time in the data interaction process;
s2, describing nodes of the OPC UA protocol by using a JSON format file to obtain node information of the OPC UA protocol;
s3, describing the numerical value information in the nodes of the OPC UA protocol by using a JSON format file to obtain the numerical value information in the nodes of the OPC UA protocol;
s4, describing the node reference relationship of the OPC UA protocol by using a JSON format file to obtain the node reference relationship information of the OPC UA protocol;
and S5, 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.
Each OPC UA information model only comprises a JSON object, and the JSON object is UANodeSet; and each sub-object corresponding to the UANodeSet comprises NamespaceUris and Aliases.
The working principle of the technical scheme is as follows: firstly, extracting a JSON format file generated in data interaction in real time in the data interaction process; then, describing the nodes of the OPC UA protocol by using a JSON format file to obtain the node information of the OPC UA protocol; describing the numerical value information in the nodes of the OPC UA protocol by using a JSON format file to obtain the numerical value information in the nodes of the OPC UA protocol; describing the node reference relationship of the OPC UA protocol by using a JSON format file to obtain the node reference relationship 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 effect of the above technical scheme is as follows: the method for describing the OPC UA information model in the JSON format, which is provided by the embodiment, can effectively improve the readability and the resolving speed of the description of the OPC UA information model by describing the OPC UA information model through the file in the JSON format; meanwhile, the space capacity occupied by the files can be effectively reduced by describing the OPC UA information model through the JSON format files, 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 files.
In one embodiment of the present invention, in a data interaction process, in an actual data interaction process, extracting a JSON format file generated in the data interaction in real time includes:
s101, scanning all data files generated in the data interaction process in real time;
s102, extracting a JSON format file generated in a first acquisition time period 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 current OPC UA information model description, and if the number of files required by current time interval model description does not meet the number of files required by current time interval model description, collecting and extracting the JSON format files according to a second collection time interval;
wherein, the constraint conditions for setting the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein, T 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a. The 1 Representing the number corresponding to JSON format files generated in the data interaction process in a first time period; a represents the total number of files of all types generated in the data interaction process 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 a JSON format file generated in a first acquisition time period in a preset first acquisition time period; and finally, 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 the files required by the current time period model description does not meet the number of the files required by the current time period model description, acquiring and extracting the JSON format files according to a second acquisition time period.
The effect of the above technical scheme is: through the setting of the first acquisition time period and the second acquisition time period and the setting of the constraint condition of the second acquisition time period, the quantity efficiency of JSON format files can be effectively improved, and further the overall efficiency of OPC UA information model description is improved.
In one embodiment of the invention, a JSON format file is used for describing the nodes of the OPC UA protocol to obtain the node information of the OPC UA protocol, which comprises
S201, identifying and extracting node attributes of each JSON format file;
s202, taking the node attribute as a sub-member corresponding to a JSON object contained in the OPC UA information model; wherein, the node attribute is the node information of the OPC UA protocol.
The working principle of the technical scheme is as follows: firstly, identifying and extracting the node attribute of each JSON format file; and then, taking the node attribute as a sub-member corresponding to one JSON object contained in the OPC UA information model.
The effect of the above technical scheme is: the readability and the analysis speed of the description of the OPC UA information model can be effectively improved by describing the OPC UA information model through the JSON format file; meanwhile, the space capacity occupied by the files can be effectively reduced by describing the OPC UA information model through the JSON format files, 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 files.
The embodiment of the invention provides a system for describing an OPC UA information model by a JSON format, which comprises:
the real-time extraction module is used for extracting the JSON format file 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 using the JSON format file to acquire the node information of the OPC UA protocol;
the internal numerical value information acquisition module is used for describing the internal numerical value information of the nodes of the OPC UA protocol by utilizing a JSON format file to acquire the internal numerical value information of the nodes of the OPC UA protocol;
the reference relation acquisition module is used for describing the node reference relation of the OPC UA protocol by using 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.
Each OPC UA information model only comprises one JSON object, and the JSON object is UANodeSet; and each sub-object corresponding to the UANodeSet comprises NamespaceUris and Aliases.
The working principle of the technical scheme is as follows: firstly, extracting a JSON format file 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 using a JSON format file through a node information acquisition module to acquire the node information of the OPC UA protocol; describing the intra-node numerical value information of the OPC UA protocol by using a JSON format file through an intra-numerical value information acquisition module to obtain the intra-node numerical value information of the OPC UA protocol; describing the node reference relationship of an OPC UA protocol by using a JSON format file through a reference relationship acquisition module to obtain node reference relationship information of the OPC UA protocol; and finally, describing the OPC UA information model by using the node information, the numerical information in the node and the node reference relation information of the OPC UA protocol by using a description module.
The effect of the above technical scheme is as follows: the system for describing the OPC UA information model in the JSON format, which is provided by the embodiment, can effectively improve the readability and the resolving speed of the description of the OPC UA information model by describing the OPC UA information model through the file in the JSON format; meanwhile, the space capacity occupied by the files can be effectively reduced by describing the OPC UA information model through the JSON format files, 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 files.
In an 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 device comprises a first extraction module, a second extraction module and a third extraction module, wherein the first extraction module is used for extracting JSON format files generated in a first acquisition time period 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 the files required by the current time period model description does not meet the number of the files required by the current time period model description, the JSON format files are collected and extracted according to a second collection time period;
wherein, the constraint conditions for setting the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein, T 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a. The 1 Representing the number corresponding to JSON format files generated in the data interaction process in a first time period; a represents the total number of files of all types generated in the data interaction process 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 the files required by the current time period model description does not meet the number of the files required by the current time period model description, JSON format files are collected and extracted according to a second collection time period;
the effect of the above technical scheme is as follows: through the setting of the first acquisition time period and the second acquisition time period and the setting of the constraint condition of the second acquisition time period, the quantity efficiency of JSON format files can be effectively improved, and further the overall efficiency of OPC UA information model description is improved.
In an embodiment of the present invention, the node information obtaining module includes
The node attribute extraction module is used for identifying and extracting the node attribute of each JSON format file;
a sub-member forming module, configured to use the node attribute as a sub-member corresponding to a JSON object included in the OPC UA information model; wherein, the node attribute is the node information of the OPC UA protocol.
The working principle of the technical scheme is as follows: firstly, identifying and extracting the node attribute 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 a JSON object contained in the OPC UA information model; wherein, the node attribute is the node information of the OPC UA protocol.
The effect of the above technical scheme is: the readability and the analysis speed of the description of the OPC UA information model can be effectively improved by describing the OPC UA information model through the JSON format file; meanwhile, the space capacity occupied by the files can be effectively reduced by describing the OPC UA information model through the JSON format files, 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 files.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A method for describing OPC UA information model in JSON format is characterized by comprising the following steps:
extracting a JSON format file generated in the data interaction in real time in the data interaction process;
describing the nodes of the OPC UA protocol by using a JSON format file to obtain the node information of the OPC UA protocol;
describing the numerical value information in the nodes of the OPC UA protocol by using a JSON format file to obtain the numerical value information in the nodes of the OPC UA protocol;
describing the node reference relationship of the OPC UA protocol by using a JSON format file to obtain the node reference relationship information of the OPC UA protocol;
and 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.
2. The method according to claim 1, wherein each OPC UA information model only contains one JSON object, and wherein the JSON object is a UANodeSet; and each sub-object corresponding to the UANodeSet comprises NamespaceUris and Aliases.
3. The method according to claim 1, wherein extracting the JSON-formatted file generated in the data interaction in real time during the data interaction process comprises:
scanning all data files generated in the data interaction process in real time;
extracting a JSON format file generated in a first acquisition time period 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 current OPC UA information model description, and if the number of files required by current time period model description is not met, acquiring and extracting the JSON format files according to a second acquisition time period;
wherein, the constraint conditions for setting the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein, T 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a. The 1 Representing the number corresponding to JSON format files generated in the data interaction process in a first time period; a represents the total number of files of all types generated in the data interaction process in the first time period.
4. The method according to claim 1, wherein the nodes of the OPC UA protocol are described by JSON format files, and the node information of the OPC UA protocol is obtained and includes
Identifying and extracting the node attribute of each JSON format file;
taking the node attribute as a sub-member corresponding to a JSON object contained in the OPC UA information model; wherein, the node attribute is the node information of the OPC UA protocol.
5. A system for describing OPC UA information models in JSON format, the system comprising:
the real-time extraction module is used for extracting the JSON format file 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 using a JSON format file to acquire the node information of the OPC UA protocol;
the internal numerical value information acquisition module is used for describing the internal numerical value information of the nodes of the OPC UA protocol by using a JSON format file to acquire the internal numerical value information of the nodes of the OPC UA protocol;
the reference relation acquisition module is used for describing the node reference relation of the OPC UA protocol by using 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.
6. The system of claim 5, wherein each OPC UA information model only contains one JSON object, and wherein the JSON object is a UANodeSet; and each sub-object corresponding to the UANodeSet comprises NamespaceUris and Aliases.
7. The system of claim 5, wherein the real-time extraction module comprises:
the file data acquisition module is used for scanning all data files generated in the data interaction process in real time;
the device comprises a first extraction module, a second extraction module and a third extraction module, wherein the first extraction module is used for extracting a JSON format file generated in a first acquisition time period 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 current OPC UA information model description, and if the number of files does not meet the number of files required by current time period model description, JSON format files are collected and extracted according to a second collection time period;
wherein, the constraint conditions set for the second acquisition time period are as follows:
(1-A 1 /A)T 1 ≤T 2 <T 1
wherein, T 1 And T 2 Respectively representing the time lengths corresponding to the first acquisition time period and the second acquisition time period; a. The 1 Representing the number corresponding to JSON format files generated in the data interaction process in a first time period; a represents the total number of files of all types generated in the data interaction process in the first time period.
8. The system according to claim 5, wherein the node information obtaining module includes a node attribute extracting module configured to identify a node attribute for extracting each of the JSON-formatted files;
a sub-member forming module, configured to use the node attribute as a sub-member corresponding to a JSON object included in the OPC UA information model; wherein, the node attribute is the node information of the OPC UA protocol.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211280403.7A CN115639997B (en) | 2022-10-19 | 2022-10-19 | Method and system for describing OPC UA information model in JSON format |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211280403.7A CN115639997B (en) | 2022-10-19 | 2022-10-19 | Method and system for describing OPC UA information model in JSON format |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115639997A true CN115639997A (en) | 2023-01-24 |
| CN115639997B CN115639997B (en) | 2023-10-03 |
Family
ID=84944481
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211280403.7A Active CN115639997B (en) | 2022-10-19 | 2022-10-19 | Method and system for describing OPC UA information model in JSON format |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115639997B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104360844A (en) * | 2014-10-24 | 2015-02-18 | 北京交控科技有限公司 | Protocol conversion server based on OPC UA standard and ATS system |
| JP2016004359A (en) * | 2014-06-16 | 2016-01-12 | アズビル株式会社 | Opc ua server creation method |
| CN109144007A (en) * | 2018-09-12 | 2019-01-04 | 机械工业仪器仪表综合技术经济研究所 | A kind of automatic construction system for integrating and interconnecting towards digitlization workshop manufacturing equipment |
| CN109495564A (en) * | 2018-11-13 | 2019-03-19 | 广东水利电力职业技术学院（广东省水利电力技工学校） | A kind of OPC UA TSN core realization method and system based on CoDeSys |
| CN112597129A (en) * | 2020-12-21 | 2021-04-02 | 浙江大学 | Automatic construction method of OPC UA information model based on structured database |
| CN112688865A (en) * | 2020-12-10 | 2021-04-20 | 西安理工大学 | Design method of OPC UA gateway for graphical online modeling |
| CN112702343A (en) * | 2020-12-22 | 2021-04-23 | 机械工业仪器仪表综合技术经济研究所 | OPC UA and MQTT fusion method |
| US20210157565A1 (en) * | 2018-05-21 | 2021-05-27 | Asem S.P.A. | System to design and/or update programs for industrial devices assigned to the operator interface and/or to manage machines and/or plants for industrial automation |
| US20210382454A1 (en) * | 2018-09-18 | 2021-12-09 | Siemens Aktiengesellschaft | Program file writing and running processing method, device and system |
| KR20220010294A (en) * | 2020-07-17 | 2022-01-25 | 한국전력공사 | Rule-based OPC UA Node Generation System and Method |
| CN115136256A (en) * | 2020-03-31 | 2022-09-30 | 西门子股份公司 | Information processing method, information processing apparatus, information processing program, and recording medium |
-
2022
- 2022-10-19 CN CN202211280403.7A patent/CN115639997B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016004359A (en) * | 2014-06-16 | 2016-01-12 | アズビル株式会社 | Opc ua server creation method |
| CN104360844A (en) * | 2014-10-24 | 2015-02-18 | 北京交控科技有限公司 | Protocol conversion server based on OPC UA standard and ATS system |
| US20210157565A1 (en) * | 2018-05-21 | 2021-05-27 | Asem S.P.A. | System to design and/or update programs for industrial devices assigned to the operator interface and/or to manage machines and/or plants for industrial automation |
| CN109144007A (en) * | 2018-09-12 | 2019-01-04 | 机械工业仪器仪表综合技术经济研究所 | A kind of automatic construction system for integrating and interconnecting towards digitlization workshop manufacturing equipment |
| US20210382454A1 (en) * | 2018-09-18 | 2021-12-09 | Siemens Aktiengesellschaft | Program file writing and running processing method, device and system |
| CN109495564A (en) * | 2018-11-13 | 2019-03-19 | 广东水利电力职业技术学院（广东省水利电力技工学校） | A kind of OPC UA TSN core realization method and system based on CoDeSys |
| CN115136256A (en) * | 2020-03-31 | 2022-09-30 | 西门子股份公司 | Information processing method, information processing apparatus, information processing program, and recording medium |
| US20230121673A1 (en) * | 2020-03-31 | 2023-04-20 | Siemens Aktiengesellschaft | Information Processing Method and Apparatus, Computing Device, Medium, and Computer Program |
| KR20220010294A (en) * | 2020-07-17 | 2022-01-25 | 한국전력공사 | Rule-based OPC UA Node Generation System and Method |
| CN112688865A (en) * | 2020-12-10 | 2021-04-20 | 西安理工大学 | Design method of OPC UA gateway for graphical online modeling |
| CN112597129A (en) * | 2020-12-21 | 2021-04-02 | 浙江大学 | Automatic construction method of OPC UA information model based on structured database |
| CN112702343A (en) * | 2020-12-22 | 2021-04-23 | 机械工业仪器仪表综合技术经济研究所 | OPC UA and MQTT fusion method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115639997B (en) | 2023-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109871415B (en) | User portrait construction method and system based on graph database and storage medium | |
| CN108628918B (en) | System deployment and dependency relationship automatic drawing system and method | |
| CN116578040B (en) | Digital twin model construction method, system and terminal for machine tool fault diagnosis | |
| JP2021508102A5 (en) | ||
| CN106228306A (en) | Operation flow methods of exhibiting based on modeling configuration and operation flow exhibiting device | |
| CN101105841A (en) | Method for constructing gene controlled subnetwork by large scale gene chip expression profile data | |
| CN109684320B (en) | Method and equipment for online cleaning of monitoring data | |
| CN112347092B (en) | Method, device and computer equipment for generating data analysis billboard | |
| CN113268403B (en) | Time series analysis and prediction method, device, equipment and storage medium | |
| CN104462606A (en) | Method for determining diagnosis treatment measures based on log data | |
| CN109062769B (en) | Method, device and equipment for predicting IT system performance risk trend | |
| CN109165152A (en) | Method for monitoring performance, system and the storage medium of WEB system | |
| CN114290960A (en) | Method and device for acquiring battery health degree of power battery and vehicle | |
| CN111444635B (en) | System dynamics simulation modeling method and system based on XML language | |
| CN115639997A (en) | Method and system for describing OPC UA information model by JSON format | |
| CN111401023B (en) | Report generation method, report generation device, server and storage medium | |
| CN115599873B (en) | Data acquisition method and system based on artificial intelligence Internet of things and cloud platform | |
| CN113220992A (en) | Information flow content recommendation method, system and medium | |
| CN111143482B (en) | Service data processing method and device of energy Internet of things and electronic equipment | |
| CN114282919A (en) | Cloud sea resource charging dynamic cost analysis optimization method and system | |
| CN114528297A (en) | Data collection method and device, electronic equipment and storage medium | |
| CN103631232A (en) | Data monitoring control method and data monitoring control device | |
| CN113537942A (en) | Method and system for increasing number of sample marks | |
| CN115794234A (en) | JSON description-based OPC UA model interface operation method and system | |
| CN111027823A (en) | Browser-based work order automatic forwarding method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |