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Sensor Placement Optimization.

Project description


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Continuous or regularly scheduled monitoring has the potential to quickly
identify changes in the environment. However, even with low-cost sensors, only
a limited number of sensors can be used.
The physical placement of these sensors and the sensor technology used can have
a large impact on the performance of a monitoring strategy.

Chama is a Python package which includes mixed-integer, stochastic
programming formulations to determine sensor locations and technology that maximize
the effectiveness of the detection program.
The software was developed to design sensor networks for water distribution networks and airborne pollutants,
but the methods are general and
can be applied to a wide range of applications.

For more information, go to

Citing Chama

To cite Chama, use the following reference:

* Klise, K.A., Nicholson, B., and Laird, C.D. (2017). Sensor Placement Optimization using Chama, Sandia Report SAND2017-11472, Sandia National Laboratories.


Revised BSD. See the LICENSE.txt file.


* chama - Python package
* ci - Travis CI requirements
* documentation - User manual

* Katherine Klise, Sandia National Laboratories,

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and
Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the
U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525.

Project details

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Filename, size & hash SHA256 hash help File type Python version Upload date
chama-0.1.1-py3-none-any.whl (711.6 kB) Copy SHA256 hash SHA256 Wheel py3
chama-0.1.1.tar.gz (685.1 kB) Copy SHA256 hash SHA256 Source None

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