Remote water meter reading, based on GIS (Geo Informatics Satellites), is the technology of automatically collecting consumption, diagnostic, and status data. The data is either collected from water meter or energy. That data is then transferred to a central database for billing, troubleshooting, and analyzing.
This technology mainly saves water providers the expense of periodic trips to each physical location to read a water meter. Another advantage is that billing can be based on real time, rather than on estimates based on past or predicted consumption. This timely information coupled with analysis can help both water treatment companies and customers. It helps with better control of use, water treatment and distribution of water.
Remote sensing meter technologies include handheld, mobile and network technologies. These technologies are based on telephony platforms (wired and wireless), radio frequency (RF), or power line transmissions.
Advanced GIS Water Meters
You will have support for virtually any type of standard based water meter device and access through a secure web services portal. Your water meter data can now be accessible to you using flexible device and data views. These have no parallel within any existing metering applications.
Leveraging the advanced geospatial technologies from ESRI ArcGIS, GIS water meters will allow you to rediscover your meter data through a geospatial context. This enables expansive methods for monitoring and controlling your water distribution systems. Remote sensing offers flexibility for water management.
Although remote sensing has proven useful for water quality monitoring, it will never replace traditional field surveying and sampling. When coupled with such techniques, remote sensing can enhance and complement existing approaches. This is done to maximize water resources and cost effectiveness. Additional advantages of incorporating remote sensing in water quality monitoring programs include the following:
- A synoptic view of water resources for more effective monitoring of the geospatial and temporal variation.
- A simultaneous view of water quality in multiple lakes over a large area at one time.
- A more comprehensive historical record of water quality showing trends over time.
- A planning tool to prioritize field surveying and sampling locations and time.
- An accurate estimation of optically active constituents used to characterize water quality.
Many factors affecting water quality can be measured with remote sensing. Including optically active constituents, changing the energy spectra of reflected solar radiation emitted from surface waters. These include phytoplankton pigments (chlorophylls, carotenoids, phycocyanin, etc.), colored dissolved organic matter (CDOM), and inorganic and non-living suspended matter. This coincides well with the previously mentioned parameters determining the majority of water quality issues in inland waters. In contrast, parameters that can’t be measured directly with remote sensing include chemicals, pathogens, and acidity.