Personal tools

Difference between revisions of "Introduction"

From PhotoVoltaic Logger new generation

Jump to: navigation, search
m
m
Line 32: Line 32:
 
* [planned] Extractor witch creates Solar-Log compatible JS files, for example for Solar-Log homemade or SolarAnalyzer
 
* [planned] Extractor witch creates Solar-Log compatible JS files, for example for Solar-Log homemade or SolarAnalyzer
  
== Quick start ==
+
To get a first impression, refer to the [[Quick start]] which will help you.
 
 
To get a 1st impression of the system, 2 fake channels are installed by default.
 
 
 
They deliver random data on each request.
 
 
 
To get a feeling with charts, you can use them to play around with the presentation settings.
 
 
 
=== RANDOM Temperature sensor ===
 
 
 
This sensor simulates a temperature sensor in °C with a valid range of 15 ... 25 °C.
 
 
 
Each "next" reading differs max. ± 0.5 °C from last one.
 
 
 
[[File:RandomSensor1.png]]
 
 
 
[[File:RandomSensor2.png]]
 
 
 
=== RANDOM Energy meter ===
 
 
 
This sensor simulates a energy meter with kilo watt hours readings, starting by 0 with (nearly :-) open end.
 
 
 
Each "next" reading differs max. + 0.2 kilo watt hour from last one.
 
 
 
[[File:RandomMeter1.png]]
 
 
 
The consumption cost 0.20 per kilo watt hour, because of the unit watt hours is it set to 0.0002
 
 
 
''Please note'': The readings here are in kilo watt hours, to get watt hours out, the resolution is set to 1000.
 
 
 
[[File:RandomMeter2.png]]
 

Revision as of 13:08, 18 April 2014

PVLng is a logging and data warehouse system for measuring data of sensors and photovoltaic plants.

The system acts basely as a data warehouse.

All data will be stored in an very simple and efficient internal structure (readings), optimized for data readout of any kind with a well defined interface.

This system addresses all the user interested in data analysis, which will have a deeper look into their logged data.

The system will accept data from any external sources and can deliver them for any purpose. A web frontend for graphing data is also integrated.


SystemCloud.png


To use this system best, a deeper knowledge in server administration, shell scripting and probably PHP is recommended, but not required.

Refer to design and concept to understand the system organization regarding models, channel types, channels and channel hierarchy.

Depending of the installed base of our solar plant, the following components are still implemented:

Data storage

  • Inverter data (feed-in power, DC power voltage, Current etc.) from a SMA Webbox
  • Irradiation and module temperature from a SMA Sensorbox
  • Outside and inverter temperatures via USB -> 1‑Wire -> Temperature sensor
  • Power consumption from watt meter via S0 impulses

Data readout

  • Model for the PV-Log URL interface in JSON
  • Script to push data to PVOutput
  • Script to update a Twitter account
  • [planned] Extractor witch creates Solar-Log compatible JS files, for example for Solar-Log homemade or SolarAnalyzer

To get a first impression, refer to the Quick start which will help you.