{"id":1946,"date":"2020-09-02T07:59:02","date_gmt":"2020-09-02T13:59:02","guid":{"rendered":"https:\/\/scadametrics.com\/blog\/?p=1946"},"modified":"2022-10-15T15:36:50","modified_gmt":"2022-10-15T21:36:50","slug":"the-ethermeters-most-commonly-used-data-registers","status":"publish","type":"post","link":"https:\/\/scadametrics.com\/blog\/?p=1946","title":{"rendered":"The EtherMeter’s Most Commonly-Used Data Registers."},"content":{"rendered":"
\"James

Jim ‘Slim’ Mimlitz, SCADAmetrics<\/p><\/div>\n\n\n\n

In a nutshell, the EtherMeter\u00ae<\/sup><\/strong> is an instrument that transforms your water (or gas) meter into an Ethernet-capable Modbus<\/strong> or Allen-Bradley<\/strong> device.<\/p>\n\n\n\n

\"\"
SCADAmetrics EtherMeter<\/figcaption><\/figure>\n\n\n\n

If the automation system at your facility is based on Allen-Bradley controls, then you will be pleased to know that the EtherMeter emulates a “MicroLogix” on the network. If your automation system is based on Modbus, then you will be glad to know that the EtherMeter serves as a “Modbus\/TCP” device on the network.<\/p>\n\n\n\n

The Master (aka the “Client”) computer or PLC will be set up to poll the EtherMeter for metering data. Upon receipt of a poll request, the EtherMeter responds with the present snapshot of the meter’s total consumption and rate-of-flow.<\/p>\n\n\n\n

Modbus functionality is detailed in Chapter 14, and Allen-Bradley functionality is detailed in Chapter 15 of the User Manual<\/strong>. However, the register mappings for both protocol sets are illustrated below:<\/p>\n\n\n\n

\"\"
EtherMeter Modbus Register Map – Most Popular Registers.<\/figcaption><\/figure>\n\n\n\n
\"\"
EtherMeter N-Register Map – Most Popular Registers.<\/figcaption><\/figure>\n\n\n\n

Most polling masters (aka “clients”) timestamp each data point and store in non-volatile memory or hard drive. And example is illustrated below:<\/p>\n\n\n\n

\n\n\n\n
Date , Time , Meter_ID , Network_Fault , Meter_Fault , Meter_Reading , Units , Rate_of_Flow\n2017\/08\/27 , 11:30 , 0001 , 0 , 0 , 169.000 , GAL , 0.000\n2017\/08\/27 , 11:30 , 0002 , 0 , 0 , 99999986.000 , GAL , 0.000\n2017\/08\/27 , 11:30 , 0003 , 0 , 0 , 520.000 , GAL , 0.000\n2017\/08\/27 , 11:30 , 0004 , 0 , 0 , 258923.000 , GAL , 0.000\n2017\/08\/27 , 11:30 , 0005 , 0 , 0 , 35011.000 , GAL , 0.000\n2017\/08\/27 , 11:30 , 0006 , 0 , 0 , 12982175.000 , GAL , 0.000\n2017\/08\/27 , 11:40 , 0001 , 0 , 0 , 169.000 , GAL , 0.000\n2017\/08\/27 , 11:40 , 0002 , 0 , 0 , 99999986.000 , GAL , 0.000\n2017\/08\/27 , 11:40 , 0003 , 0 , 0 , 520.000 , GAL , 0.000\n2017\/08\/27 , 11:40 , 0004 , 0 , 0 , 258923.000 , GAL , 0.000\n2017\/08\/27 , 11:40 , 0005 , 0 , 0 , 35011.000 , GAL , 0.000\n2017\/08\/27 , 11:40 , 0006 , 0 , 0 , 12982175.000 , GAL , 0.000\n2017\/08\/27 , 11:50 , 0001 , 0 , 0 , 169.000 , GAL , 0.000\n2017\/08\/27 , 11:50 , 0002 , 0 , 0 , 99999986.000 , GAL , 0.000\n2017\/08\/27 , 11:50 , 0003 , 0 , 0 , 520.000 , GAL , 0.000\n2017\/08\/27 , 11:50 , 0004 , 0 , 0 , 258923.000 , GAL , 0.000\n2017\/08\/27 , 11:50 , 0005 , 0 , 0 , 35011.000 , GAL , 0.000\n2017\/08\/27 , 11:50 , 0006 , 0 , 0 , 12982175.000 , GAL , 0.000\n2017\/08\/27 , 12:00 , 0001 , 0 , 0 , 169.000 , GAL , 0.000\n2017\/08\/27 , 12:00 , 0002 , 0 , 0 , 99999986.000 , GAL , 0.000\n2017\/08\/27 , 12:00 , 0003 , 0 , 0 , 520.000 , GAL , 0.000\n2017\/08\/27 , 12:00 , 0004 , 0 , 0 , 258923.000 , GAL , 0.000\n2017\/08\/27 , 12:00 , 0005 , 0 , 0 , 35011.000 , GAL , 0.000\n2017\/08\/27 , 12:00 , 0006 , 0 , 0 , 12982175.000 , GAL , 0.000\n2017\/08\/27 , 12:10 , 0001 , 0 , 0 , 169.000 , GAL , 0.000\n2017\/08\/27 , 12:10 , 0002 , 0 , 0 , 99999986.000 , GAL , 0.000\n2017\/08\/27 , 12:10 , 0003 , 0 , 0 , 520.000 , GAL , 0.000\n2017\/08\/27 , 12:10 , 0004 , 0 , 0 , 258923.000 , GAL , 0.000\n2017\/08\/27 , 12:10 , 0005 , 0 , 0 , 35011.000 , GAL , 0.000\n2017\/08\/27 , 12:10 , 0006 , 0 , 0 , 12982175.000 , GAL , 0.000<\/pre>\n\n\n\n
\n\n\n\n
Many polling masters also offer visual realtime displays and historical trending capability.  Examples of historical trending charts are illustrated below from a water utility pump station.  The station features two flow meters: an influent meter that measures the fill of a ground tank, and a a discharge meter that measures the flow from the pumps:<\/p>\n\n\n\n
\"\"
Booster Pump Meter Totalization (GAL) – 24 Hour Chart.<\/figcaption><\/figure>\n\n\n\n
\"\"
Booster Pump Flow Rate (GPM) – 24 Hour Chart.<\/figcaption><\/figure>\n\n\n\n
\"\"
Ground Tank Fill Meter Totalization (GAL) – 24 Hour Chart.<\/figcaption><\/figure>\n\n\n\n
\"\"
Ground Tank Flow Rate (GPM) – 24 Hour Chart.<\/figcaption><\/figure>\n\n\n\n
Note that the units above are displayed in gallons.  However, if the target meters feature alternate units (e.g. liters or m3<\/sup>), then the EtherMeter will provide matching units.<\/p>\n\n\n\n
\n\n\n\n
Are you interested in how SCADAmetrics’ EtherMeter technology can lend a competitive advantage to your automation system’s metering operations?  Give us a call! We\u2019ll be glad to discuss the details!<\/p>\n","protected":false},"excerpt":{"rendered":"
In a nutshell, the EtherMeter\u00ae is an instrument that transforms your water (or gas) meter into an Ethernet-capable Modbus or Allen-Bradley device. If the automation system at your facility is based on Allen-Bradley controls, then you will be pleased to know that the EtherMeter emulates a “MicroLogix” on the network. If your automation system is …<\/span> Read More →<\/span><\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":1746,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,8,4,5,6],"tags":[],"class_list":["post-1946","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-applications","category-general","category-meteringtechnology","category-modbusprotocol","category-rockwell-protocols"],"_links":{"self":[{"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/1946","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1946"}],"version-history":[{"count":15,"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/1946\/revisions"}],"predecessor-version":[{"id":2379,"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/1946\/revisions\/2379"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=\/wp\/v2\/media\/1746"}],"wp:attachment":[{"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scadametrics.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}