CIMHub | Copyright 2017-2021 , Battelle Memorial Institute
kandi X-RAY | CIMHub Summary
kandi X-RAY | CIMHub Summary
CIMHub is a Java library. CIMHub has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install CIMHub' or download it from GitHub, PyPI.
Copyright (c) 2017-2021, Battelle Memorial Institute. This is a tool set for translating electric power distribution system models between various formats, using the IEC Standard 61970/61968 Common Information Model (CIM) as the "Hub". Requirements. The CIM data is stored in an open-source triple-store called Blazegraph. Python 3 scripts depend on SPARQLWrapper. The Java code uses OpenJDK 11 and builds with Apache Maven. Please make sure that GIT LFS is installed before checking out or cloning this repository.
Copyright (c) 2017-2021, Battelle Memorial Institute. This is a tool set for translating electric power distribution system models between various formats, using the IEC Standard 61970/61968 Common Information Model (CIM) as the "Hub". Requirements. The CIM data is stored in an open-source triple-store called Blazegraph. Python 3 scripts depend on SPARQLWrapper. The Java code uses OpenJDK 11 and builds with Apache Maven. Please make sure that GIT LFS is installed before checking out or cloning this repository.
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CIMHub has a low active ecosystem.
It has 11 star(s) with 7 fork(s). There are 13 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 12 have been closed. On average issues are closed in 48 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of CIMHub is 1.0.8
Quality
CIMHub has no bugs reported.
Security
CIMHub has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CIMHub does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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CIMHub releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are available. Examples and code snippets are not available.
Top functions reviewed by kandi - BETA
kandi has reviewed CIMHub and discovered the below as its top functions. This is intended to give you an instant insight into CIMHub implemented functionality, and help decide if they suit your requirements.
- Main method for testing
- Returns a String representation of the GLM
- Write GLM file
- Outputs a CIM file
- Returns a JSON representation of a JsonEntry
- Add double array
- Add a JSON string array as array
- Helper method to add a JSON boolean array representation
- Returns a JSON string that represents a JNI response
- Returns a string representation of the JSONE object
- Construct a ResultSet based on the feeder
- Returns a String representation of GLM
- Converts a CIM into a human - readable name
- Convert the map to a Json string
- Returns a string representation of the JSONSymbol
- Returns a description of the GLM configuration
- Fix the distance spacing
- Main method for testing
- Returns a JSON string for a JNI response
- Sets the size of the ring
- Returns a string representation of this object
- Print all the maps
- Attempts to execute a query
- Fixing overhead wires
- Fix short circuit tests
- Returns a String representation of GLM configuration
Get all kandi verified functions for this library.
CIMHub Key Features
No Key Features are available at this moment for CIMHub.
CIMHub Examples and Code Snippets
No Code Snippets are available at this moment for CIMHub.
Community Discussions
No Community Discussions are available at this moment for CIMHub.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CIMHub
This example converts two versions of the IEEE 13-Bus case from OpenDSS to CIM and GridLAB-D, without writing code. One version uses phase impedance matrices for line segments. The other version, labeled "Assets", uses wire and spacing data for the line segments, and transformer code data for the transformers. The example script may produce error messages upon first invocation, because the Blazegraph engine doesn't start immediately. However, the example does complete successfully. You may re-run the example starting from step 2. You may also wish to modify docker-compose.yml so that it mounts a local directory inside the converter, for transferring your own files between the host and Docker.
Install the converter with docker pull gridappsd/cimhub:0.0.1
From a Terminal, start the converter and Blazegraph with ./start.sh
From inside the Docker Terminal, run two example conversions of the IEEE 13-Bus example: cd example ./example.sh tail sum*.csv to verify that the converted OpenDSS files ran correctly see the comments embedded in example.sh for more information
To shut down the converter: exit from inside the Docker Terminal ./stop.sh from the host Terminal
Install the converter with docker pull gridappsd/cimhub:0.0.1
From a Terminal, start the converter and Blazegraph with ./start.sh
From inside the Docker Terminal, run two example conversions of the IEEE 13-Bus example: cd example ./example.sh tail sum*.csv to verify that the converted OpenDSS files ran correctly see the comments embedded in example.sh for more information
To shut down the converter: exit from inside the Docker Terminal ./stop.sh from the host Terminal
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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