Campbell Scientific manufactures versatile and reliable flood warning stations and systems. We offer standard ALERT systems for monitoring and transmitting precipitation and/or water level, as well as hybrid stations that can monitor many other parameters, such as wind speed and direction, relative humidity, temperature, soil moisture, or water quality. We also manufacture customizable, high-speed, networked systems that take advantage of the latest communications technologies to provide advanced solutions for flood warning. Our customers benefit from the experience we've gained over the last 30 years in designing and supporting a wide variety of reliable, stand-alone monitoring systems.
Benefits of our Systems
Our ALERT stations match all standard ALERT protocols. Our data loggers, proven in thousands of applications world-wide, provide multiple types of inputs (pulse, analog, SDI-12, and others), which allows use of almost any type of water level sensor including pressure transducers, shaft encoders, bubblers, and ultrasonic distance sensors. On-board algorithms can calculate hourly and daily minimums, maximums, averages, totals, flow, or any other statistical value. These values can be stored on-board the station, providing a backup of data. A solar panel can provide continuous charge to the battery for extended unattended monitoring.
Additional sensors to measure soil moisture, water quality, or meteorological conditions can easily be integrated. We can upgrade older stations, even those from other manufacturers, with the latest data logger and transmitter, often allowing you to use the same sensors and standpipe or enclosure.
Hybrid ALERT Stations
Our hybrid stations consist of an ALERT station integrated with additional sensors and communications peripherals. One or two radio frequencies can be used, depending on your needs. With a single frequency, two-way communications would be avoided during storm events to allow more bandwidth for one-way ALERT communications. However, some customers choose to use two frequencies: one for ALERT and the other for a fully-functional, two-way communications network. This provides the following inherent advantages:
The ability to measure additional parameters at an ALERT site, or integrate ALERT capabilities with another type of measurement site can lead to collaboration between organizations that can help keep costs down.
Customised Flood Warning Network Using LoggerNet Software
A flood warning network that uses LoggerNet software takes advantage of two-way RF communications and the latest in network management software. LoggerNet is a client/server software program used for managing large networks of monitoring stations. A LoggerNet-based system is a viable solution to flood warning applications because of the speed with which LoggerNet can poll multiple RF stations and the speed and versatility with which LoggerNet can make the data available to multiple interested parties. For example, DIAD has a client that links DIADvisor to the LoggerNet server.
When a "send data" command is broadcast to a group of remote stations, the stations transmit predefined data to the LoggerNet server in their own time window. Transmission windows can be as short as 100 mS, allowing multiple sites to be polled per second. As the data is collected, LoggerNet clients can access it from LANs or via the Internet, making data available to multiple users/agencies in near real time.
Other Resources and Options
To meet customer needs, other resources and communications options can be combined with flood warning systems. Commonly, local governments will combine resources to obtain the best possible system. In other situations, federal agencies can be involved to increase system coverage and robustness, and even help with the budget. For example, GOES satellite transmitters can be added to stations to provide automated data archival through the National Weather Service (NOAA/NESDIS) and the US Geological Survey. Multiple purpose data collection systems bring to bear the resources and expertise of environmental data experts.