Eno Scientific Well Watch 670 Water Level Monitor
Features
- Built-in display allows for view of real-time data and control of settings
- Data logger stores up to 25 million time/date stamped log points
- SCADA & telemetry compatible
- Free ground shipping
- Expedited repair and warranty service
- Lifetime technical support
- More
Overview
The Eno Scientific Well Watch 670 is a line of sonic water level meters designed for semi-permanent installation. These units utilize sound waves and adaptive sensor technology to learn the makeup of a particular well allowing for the most accurate readings. The Well Watch meters were designed to be a solution for the long term monitoring needs of agricultural, municipal, environmental or production well owner/operators.
Design
The Well Watch 670 includes a built-in display with keypad which allows the user to view real time data and to easily control the internal settings. It also has a built-in data logger capable of logging up to 25 million time/date stamped data points. This is the perfect tool to monitor and trend water levels and usage. Utilize this data to prevent over use of a well and save a potential costly repair from a burned up pump.
Installation
These units are easy to install in virtually any well setup. Each Well Watch unit comes with 3 MPT threaded nozzles, 1/2", 3/4" and 1" in diameter. Simply choose the nozzle which fits into the vent hole on the well seal and screw the Well Watch tightly in place. Attachments can be used to angle the units for tight fitting spaces since the Well Watch does not need to be vertical to get a good reading. Then, choose from the multiple output options available to work with the chosen application, including RS232, RS485 (Modbus), 4-20mA, 0-5V Analog, and USB. These are a perfect for monitoring remote wells or as a back up in case of a SCADA system crash.
Select Options
In The News
Cal Poly, San Luis Obispo Manages Monitoring Efforts in Morro Bay
California Polytechnic State University, San Luis Obispo (Cal Poly, SLO), has been monitoring Morro Bay for decades, and while the monitoring program has changed over the years, the dedication to monitoring the bay has remained the same. The project started in 2006 as a Packard Foundation-funded initiative to monitor water quality flowing in and out of Morro Bay. The goal at the time was to use the data collected to develop and inform an ecosystem-based management plan in collaboration with the Morro Bay National Estuary Program (MBNEP). Since the estuary was the focus at the time, researchers were monitoring water flowing into the estuary from Chorro Creek and Los Osos Creek.
Read More
Green Water in Green Bay: Using Data Buoys to Monitor the Southern Bay
While the bay of Green Bay has been referred to as the largest freshwater “estuary” in the world, the watershed hosts intensive agriculture and contributes one-third of Lake Michigan’s total phosphorus load. The Fox River flows into the bay, carrying excess nutrients largely the result of non-point source runoff from the watershed. With a history of deterioration extending well into the last century, the bay ecosystem suffered significant declines in water quality. This, in turn, stimulated major clean-up and ongoing restoration efforts to improve water quality. Tracking these changes is an important aspect of ecosystem management.
Read More
Cross-Border Sewage Contaminated Flows: Monitoring the Tijuana River
The Tijuana River runs across the US-Mexico boundary, flowing into and throughout southern California, carrying with it nutrients and contaminants throughout the estuary. In recent decades, the flows have been heavily polluted with untreated sewage from the City of Tijuana. The wastewater enters the greater Tijuana River estuary, impacting coastal communities and disrupting the natural environment. In order to better understand these cross-border flows, researchers out of San Diego University sought to monitor the waterway test the capabilities of in-situ sensors to measure the contaminated water. Natalie Mladenov and Trent Biggs were two of the researchers involved in the project, deploying a real-time monitoring system in May of 2021.
Read More
