The PBT-CCS-1 float current monitoring system is an accessory to the PowerAgent battery monitoring system. It consists of a current monitoring interface (CMI) unit and a float current monitoring sensor. The system accurately monitors changes in the DC charging current which are precursors of an impending cell failure, as well as AC ripple currents which are indicators of charging system problems. The system also detects reversal of current direction indicative of a discharge condition and provides an alarm indication if a discharge event occurs.

Actual readings of the monitored currents, as well as user-definable alarm thresholds for minimum and maximum allowable current levels, can be viewed and modified via the Site Control Unit web interface.


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I don't think you understand your system well enough. If you are floating at 13.5v, your battery is full and your battery monitor is most likely not configured correctly. Are you using a BMV or another battery monitor? If you are using a BMV, please post a screen shot of your battery settings of the BMV so we can take a look.

It is fair to say I'm no expert, but I don't agree with your assessment. I don't have the victron monitor so no screen shots, but after I disconnected then reconnected my solar panels, the charge state changed from float to bulk and stayed charging all day. In float the panels were only putting 50 watts into the battery, but when the controller switched to bulk, it went up to 140 watts for hours. My battery went from 35% to ~50% by the time the sun went down. I've found the battery monitor I have to be quite accurate, and I have the correct battery capacity configured.

I have the same 170ah Renogy battery, two of them and I can tell you that 13.5 volts at float mode is a fully charge battery. What kind of battery monitor are you using? I use to have a trimetric meter that was extremely confusing, at least for me. Now I have a Victron BMV712 and changed my life.

It seems like the victron is going into float mode and limiting the incoming voltage to 13.5V. If I manually change the float voltage in the settings, the power flowing into the battery increases. I don't believe this would happen if the battery was actually full. So something doesn't seem to be working correctly. The problem isn't that the battery is full, and I just don't realize that.

I just look at the screen shots of your charger. I see 14.15 volts in the history. That's a full charge. The lithium battery won't stay at 14.15 when it goes from absorption to float and that's why you see 13.5. You're system is working perfect. Now if you really want peace of mind get a BMV 17 SMART

Float has clean, minimal lines that complement its modern functionality. Accommodating multiple sizes and shapes of tops, Float can easily incorporate into any office or home environment. Ergonomic essentials such as keyboard systems, monitor arms, and task lights seamlessly incorporate into a Float workstation. Its inspiring design also allows for unrestricted space for legs, knees and feet beneath the work surface.

Now, in this couple of sunny days the battery reached abs voltage then performs a couple of hours in abs and then reach float but... when it is in float the SOC is 90%-93%. I would expect to read 100% on CCGX and VRM portal.

The main thing i want to solve here is this arithmetical operation. I got the field monitor.heap.pct which is mapped as float inside 'fields.yml' and now i just want to divide it by 100 resp. multiply it with 0.01.

But why do i have to convert the fields type with the 'convert' processor at all when i configured my field as 'float' within fields.yml?

If i don't i get a script_exception caused by a runtime_error because a type conversion exception because he assumes ctx.pac.log.system.monitor.cpu.pct is a 'String'. And i assume a cast for my field would do it also, but i would like not to use any of this because it's configured as 'float'.

Nice, glad you got it working. I'm not sure why you have to convert it to a float, but the index is logically distinct from the painless scripting language. I wouldn't worry about the resource usage of converting to the float for now.

I found the following question and answer that solved the problem for me. It contains a list of replacements for the old applets called application indicators. Unfortunately not all of them are available for natty yet, but at least I got a very basic system load monitor (indicator-sysmonitor) and a weather indicator (indicator-weather) working.

The Veeder-Root Phase Separation Floats provide you with early detection and continuous monitoring of in-tank phase separation and delivers alarms to your Veeder-Root Automatic Tank Gauge (ATG) to help prevent the pumping of phase separation product into your fueling system.


The Phase Separation Float Kits replace the traditional gasoline float kit and is compatible with existing Veeder-Root ATGs. The float kits also work in pure gasoline with better performance for water detection than existing float kits by having a lower minimum detectable water height, allowing site operators to quickly respond to a potential problem.

Hello,

I am using the Serial Monitor as a troubleshooting tool for my sketch. I must verify my math among other things. The monitor won't display more than 2 decimal places when reading a float var. I assume it is rounding. I could probably modify it if I just knew where 'rounding' is located. I've searched Arduino.cc, the forum, googled it and can't find anything. Has anyone else solved this problem?

1oldfox:

Hello,

I am using the Serial Monitor as a troubleshooting tool for my sketch. I must verify my math among other things. The monitor won't display more than 2 decimal places when reading a float var. I assume it is rounding. I could probably modify it if I just knew where 'rounding' is located. I've searched Arduino.cc, the forum, googled it and can't find anything. Has anyone else solved this problem?

Are you concerned that interim deliverable delays may postpone your project completion date? There is an efficient way to monitor interim deliverables and their potential impact on project completion using Primavera P6.

It is possible to compare current projected interim deliverable delivery dates to project float when the finish date of the project is constrained. After a few schedule updates the scheduler can find the trend of the project float for interim deliverables. Extending this float trend tells whether the current pace or effort towards delivery of interim deliverables will lead to delays on the project critical path.

After one day of progress we find that the critical path continues according to plan, but the non-critical path C,E,F, and G delays. The total float of activity G at day one update is 5-days. We plot the project total float of activity/deliverable G on an excel spreadsheet, Figure 3.

After our second update, the total float of activity G reduces to 3-days. At this point our interim deliverable G is still on schedule and the project still continues according to plan, which is good news. And when we plot the float of deliverable G after the second update we get the graph in Figure 5.

After three updates, tracking of deliverable project float provides a reliable trend. This trend may then be extrapolated to find whether interim deliverable delays are jeopardizing the project completion date. Thus plotting deliverable project total float provides valuable insight on project completion.

And the project float trend of multiple deliverables may be graphed in a high level dashboard. This dashboard can be inspected for early warning detection of deliverable and project completion progress issues.

Argo is an international program that collects information from inside the ocean using free drifting profiling floats. These floats drift with the ocean currents and move up and down between the surface and a mid-water level. The floats are distributed over the global ocean to measure temperature and salinity in the upper 2,000 meters. They annually provide 100,000 temperature/ salinity profiles and reference velocity measurements per year. Argo data are used to initialize ocean and coupled (i.e., ocean-atmosphere) forecast models and for dynamical model testing. This broad-scale global array of temperature/salinity profiling floats is a major component of the global ocean observing system.

One of the major impacts of climate change is an increase in the global cycle of evaporation and rainfall caused by a warmer ocean surface layer. Argo floats measure salinity to monitor the changing hydrological cycle and global volume of ice in our oceans. The melting of either floating ice or glaciers and ice sheets lowers ocean salinity. Additionally, the ocean becomes fresher or saltier where the balance between evaporation minus rainfall tips in one direction over time.

BGC-Argo aims at developing a global network of biogeochemical sensors on Argo profiling floats. Each float carries sensors to measure six core BGC-Argo variables: chlorophyll-a fluorescence, oxygen, nitrate, pH, and suspended particles, in addition to temperature, salinity, and pressure. These variables are the fundamental measurements that are required to address significant scientific and societal ocean/climate-related issues. The BGC-Argo network represents the most promising strategy for collecting temporally and spatially resolved observations of biogeochemical properties throughout the upper 2000 m of the ocean. The Argo2020 array design aims to contain 1,000 BGC-Argo. The picture above shows an example of one BG- Argo float model. Several core Argo floats also have BGC versions which carry dissolved oxygen sensors.

The Biogeochemical Argo (BGC-Argo) float array is a part of the internationally coordinated Argo network of robotic ocean profiling floats. BGC-Argo floats carry biological and chemical sensors that collect high-quality, multi-year ocean datasets from the sea surface to a depth of 2,000 meters. The addition of these sensors are expanding the existing Argo array that monitors ocean temperature and salinity. The growing global array of BGC-Argo floats are revolutionizing our ability to observe ocean biogeochemical cycles and understand ocean carbon uptake, acidification, deoxygenation, and marine ecosystem health. 2351a5e196

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