[jira] [Updated] (COMDEV-503) OPC-UA browser for Apache StreamPipes
[ https://issues.apache.org/jira/browse/COMDEV-503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dominik Riemer updated COMDEV-503: -- potential-mentor: Dominik Riemer > OPC-UA browser for Apache StreamPipes > - > > Key: COMDEV-503 > URL: https://issues.apache.org/jira/browse/COMDEV-503 > Project: Community Development > Issue Type: Improvement > Components: GSoC/Mentoring ideas >Reporter: Dominik Riemer >Priority: Major > Labels: StreamPipes, full-time, gsoc, gsoc2023, mentor > > h3. *Apache StreamPipes* > Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to > enable non-technical users to connect, analyze and explore IoT data streams. > StreamPipes offers several modules including StreamPipes Connect to easily > connect data from industrial IoT sources, the Pipeline Editor to quickly > create processing pipelines and several visualization modules for live and > historic data exploration. Under the hood, StreamPipes utilizes an > event-driven microservice paradigm of standalone, so-called analytics > microservices making the system easy to extend for individual needs. > h3. *Background* > StreamPipes is grown significantly throughout recent years. We were able to > introduce a lot of new features and attracted both users and contributors. > Putting the cherry on the cake, we were graduated as an Apache top level > project in December 2022. We will of course continue developing new features > and never rest to make StreamPipes even more amazing. > StreamPipes really shines when connecting Industrial IoT data. Such data > sources typically originate from machine controllers, called PLCs (e.g., > Siemens S7). But there are also new protocols such as OPC-UA which allow to > browse available data within the controller. Our goal is to make connectivity > of industrial data sources a matter of minutes. > Currently, data sources can be connected using the built-in module > `StreamPipes Connect` from the UI. We provide a set of adapters for popular > protocols that can be customized, e.g., connection details can be added. > To make it even easier to connect industrial data sources with StreamPipes, > we plan to add an OPC-UA browser. This will be part of the entry page of > StreamPipes connect and should allow users to enter connection details of an > existing OPC-UA server. Afterwards, a new view in the UI shows available data > nodes from the server, their status and current value. Users should be able > to select values that should be part of a new adapter. Afterwards, a new > adapter can be created by reusing the current workflow to create an OPC-UA > data source. > This is a really cool project for participants interested in full-stack > development who would like to get a deeper understanding of industrial IoT > protocols. Have fun! > h3. *Tasks* > - [ ] get familiar with the OPC-UA protocol > - [ ] develop mockups which demonstrate the user workflow > - [ ] develop a data model for discovering data from OPC-UA > - [ ] create the backend business logic for the OPC-UA browser > - [ ] create the frontend views to asynchronously browse data and to create > a new adapter > - [ ] write Junit, Component and E2E tests > - [ ] what ever comes in your mind 💡 further ideas are always welcome > h3. > h3. *Relevant Skills* > - interest in Industrial IoT and procotols such as OPC-UA > * Java development skills > * Angular/Typescript development skills > Anyways, the most important relevant skill is motivation and readiness to > learn during the project! > h3. *Learning Material* > - StreamPipes documentation > ([https://streampipes.apache.org/docs/docs/user-guide-introduction.html]) > - [ur current OPC-UA adapter > ([https://github.com/apache/streampipes/tree/dev/streampipes-extensions/streampipes-connect-adapters-iiot/src/main/java/org/apache/streampipes/connect/iiot/adapters/opcua]) > - Eclipse Milo, which we currently use for OPC-UA connectivity > ([https://github.com/eclipse/milo]) > - Apache PLC4X, which has an API for browsing > ([https://plc4x.apache.org/)|https://plc4x.apache.org/] > h3. *Reference* > Github issue can be found here: > [https://github.com/apache/streampipes/issues/1390] > h3. *Name and contact information* > * Mentor: Dominik Riemer (riemer[at]apache.org). > * Mailing list: (dev[at]streampipes.apache.org) > * Website: streampipes.apache.org > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Updated] (COMDEV-503) OPC-UA browser for Apache StreamPipes
[ https://issues.apache.org/jira/browse/COMDEV-503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dominik Riemer updated COMDEV-503: -- Description: h3. *Apache StreamPipes* Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams. StreamPipes offers several modules including StreamPipes Connect to easily connect data from industrial IoT sources, the Pipeline Editor to quickly create processing pipelines and several visualization modules for live and historic data exploration. Under the hood, StreamPipes utilizes an event-driven microservice paradigm of standalone, so-called analytics microservices making the system easy to extend for individual needs. h3. *Background* StreamPipes is grown significantly throughout recent years. We were able to introduce a lot of new features and attracted both users and contributors. Putting the cherry on the cake, we were graduated as an Apache top level project in December 2022. We will of course continue developing new features and never rest to make StreamPipes even more amazing. StreamPipes really shines when connecting Industrial IoT data. Such data sources typically originate from machine controllers, called PLCs (e.g., Siemens S7). But there are also new protocols such as OPC-UA which allow to browse available data within the controller. Our goal is to make connectivity of industrial data sources a matter of minutes. Currently, data sources can be connected using the built-in module `StreamPipes Connect` from the UI. We provide a set of adapters for popular protocols that can be customized, e.g., connection details can be added. To make it even easier to connect industrial data sources with StreamPipes, we plan to add an OPC-UA browser. This will be part of the entry page of StreamPipes connect and should allow users to enter connection details of an existing OPC-UA server. Afterwards, a new view in the UI shows available data nodes from the server, their status and current value. Users should be able to select values that should be part of a new adapter. Afterwards, a new adapter can be created by reusing the current workflow to create an OPC-UA data source. This is a really cool project for participants interested in full-stack development who would like to get a deeper understanding of industrial IoT protocols. Have fun! h3. *Tasks* - [ ] get familiar with the OPC-UA protocol - [ ] develop mockups which demonstrate the user workflow - [ ] develop a data model for discovering data from OPC-UA - [ ] create the backend business logic for the OPC-UA browser - [ ] create the frontend views to asynchronously browse data and to create a new adapter - [ ] write Junit, Component and E2E tests - [ ] what ever comes in your mind 💡 further ideas are always welcome h3. h3. *Relevant Skills* - interest in Industrial IoT and procotols such as OPC-UA * Java development skills * Angular/Typescript development skills Anyways, the most important relevant skill is motivation and readiness to learn during the project! h3. *Learning Material* - StreamPipes documentation ([https://streampipes.apache.org/docs/docs/user-guide-introduction.html]) - [ur current OPC-UA adapter ([https://github.com/apache/streampipes/tree/dev/streampipes-extensions/streampipes-connect-adapters-iiot/src/main/java/org/apache/streampipes/connect/iiot/adapters/opcua]) - Eclipse Milo, which we currently use for OPC-UA connectivity ([https://github.com/eclipse/milo]) - Apache PLC4X, which has an API for browsing ([https://plc4x.apache.org/)|https://plc4x.apache.org/] h3. *Reference* Github issue can be found here: [https://github.com/apache/streampipes/issues/1390] h3. *Name and contact information* * Mentor: Dominik Riemer (riemer[at]apache.org). * Mailing list: (dev[at]streampipes.apache.org) * Website: streampipes.apache.org was: h3. *Apache StreamPipes* Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams. StreamPipes offers several modules including StreamPipes Connect to easily connect data from industrial IoT sources, the Pipeline Editor to quickly create processing pipelines and several visualization modules for live and historic data exploration. Under the hood, StreamPipes utilizes an event-driven microservice paradigm of standalone, so-called analytics microservices making the system easy to extend for individual needs. h3. *Background* StreamPipes is grown significantly throughout recent years. We were able to introduce a lot of new features and attracted both users and contributors. Putting the cherry on the cake, we were graduated as an Apache top level project in December 2022. We will of course continue developing new features and never rest to make S
[jira] [Updated] (COMDEV-503) OPC-UA browser for Apache StreamPipes
[
https://issues.apache.org/jira/browse/COMDEV-503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dominik Riemer updated COMDEV-503:
--
Description:
h3. *Apache StreamPipes*
Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to
enable non-technical users to connect, analyze and explore IoT data streams.
StreamPipes offers several modules including StreamPipes Connect to easily
connect data from industrial IoT sources, the Pipeline Editor to quickly create
processing pipelines and several visualization modules for live and historic
data exploration. Under the hood, StreamPipes utilizes an event-driven
microservice paradigm of standalone, so-called analytics microservices making
the system easy to extend for individual needs.
h3. *Background*
StreamPipes is grown significantly throughout recent years. We were able to
introduce a lot of new features and attracted both users and contributors.
Putting the cherry on the cake, we were graduated as an Apache top level
project in December 2022. We will of course continue developing new features
and never rest to make StreamPipes even more amazing.
StreamPipes really shines when connecting Industrial IoT data. Such data
sources typically originate from machine controllers, called PLCs (e.g.,
Siemens S7). But there are also new protocols such as OPC-UA which allow to
browse available data within the controller. Our goal is to make connectivity
of industrial data sources a matter of minutes.
Currently, data sources can be connected using the built-in module `StreamPipes
Connect` from the UI. We provide a set of adapters for popular protocols that
can be customized, e.g., connection details can be added.
To make it even easier to connect industrial data sources with StreamPipes, we
plan to add an OPC-UA browser. This will be part of the entry page of
StreamPipes connect and should allow users to enter connection details of an
existing OPC-UA server. Afterwards, a new view in the UI shows available data
nodes from the server, their status and current value. Users should be able to
select values that should be part of a new adapter. Afterwards, a new adapter
can be created by reusing the current workflow to create an OPC-UA data source.
This is a really cool project for participants interested in full-stack
development who would like to get a deeper understanding of industrial IoT
protocols. Have fun!
h3. *Tasks*
- [ ] get familiar with the OPC-UA protocol
- [ ] develop mockups which demonstrate the user workflow
- [ ] develop a data model for discovering data from OPC-UA
- [ ] create the backend business logic for the OPC-UA browser
- [ ] create the frontend views to asynchronously browse data and to create a
new adapter
- [ ] write Junit, Component and E2E tests
- [ ] what ever comes in your mind 💡 further ideas are always welcome
h3.
{*}{*}{*}{*}
h3. *Relevant Skills*
- interest in Industrial IoT and procotols such as OPC-UA
* Java development skills
* Angular/Typescript development skills
Anyways, the most important relevant skill is motivation and readiness to learn
during the project!
h3. *Learning Material*
- StreamPipes documentation
([https://streampipes.apache.org/docs/docs/user-guide-introduction.html])
- [ur current OPC-UA adapter
([https://github.com/apache/streampipes/tree/dev/streampipes-extensions/streampipes-connect-adapters-iiot/src/main/java/org/apache/streampipes/connect/iiot/adapters/opcua])
- Eclipse Milo, which we currently use for OPC-UA connectivity
([https://github.com/eclipse/milo])
- Apache PLC4X, which has an API for browsing
([https://plc4x.apache.org/)|https://plc4x.apache.org/]
h3.
**
h3. *Reference*
Github issue can be found here:
[https://github.com/apache/streampipes/issues/1390]
h3. *Name and contact information*
* Mentor: Dominik Riemer (riemer[at]apache.org).
* Mailing list: (dev[at]streampipes.apache.org)
* Website: streampipes.apache.org
was:
h3. *Apache StreamPipes*
Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to
enable non-technical users to connect, analyze and explore IoT data streams.
StreamPipes offers several modules including StreamPipes Connect to easily
connect data from industrial IoT sources, the Pipeline Editor to quickly create
processing pipelines and several visualization modules for live and historic
data exploration. Under the hood, StreamPipes utilizes an event-driven
microservice paradigm of standalone, so-called analytics microservices making
the system easy to extend for individual needs.
h3. *Background*
StreamPipes is grown significantly throughout recent years. We were able to
introduce a lot of new features and attracted both users and contributors.
Putting the cherry on the cake, we were graduated as an Apache top level
project in December 2022. We will of course continue developing new features
a
