Data Logging Service's

Are you interested in knowing exactly which part of the building is using the most energy?

Building Analyst Group Inc, provides data logging services to commercial buildings for the purpose of troubleshooting energy concerns and environmental climate control issues. Most businesses either do not want to allocate employees to learn this procedure because of the amount of time and resources it takes. Or because they need a third party report and consulting to provide definitive answers. Because we have been in hundreds if not thousands of facilities across the USA provides us with expert knowledge in the infrastructure buildings operations of many types.    

  • Electrical motors

  • Electrical panels

  • Condensers

  • Generators

  • Compressors

  • Refrigeration systems

  • Data centers

  • Lighting

  • Temperatures

  • Humidity

Data loggers (also data logger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and sensors. Increasingly but not entirely, they are based on a digital processor (or computer) .Data loggers address a wide range of applications, both for general- and special-purpose situations. Special-purpose data loggers are available for, electrical, temperature and humidity, voltage, thermocouple, and event applications to name just a few. 

Data Logging
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Data logging is the process of monitoring various physical conditions and recording them over an extended period of time. The collected data is accessed and then observed then analyzed at a later date.  Data logging is not to be confused with data acquisition. While data logging is a type of data acquisition, it uses a lower sampling rate (seconds, minutes, hours, or even days). Data-acquisition systems sample data at high speeds (kS/s, MS/s, GS/s) for real-time monitoring and analysis as well as recording.

Some of the typically monitored physical characteristics include:


Spreadsheet report outlining temperatures and humidity inside of a building. Blue graph line indicates humidity and black line indicates temperatures in a 24 hour period. Yes this building has humidity issues. 

We provide a wide range of data loggers to get the accurate answers when analizing buildings. 

Data Logging

On a larger scale we provide data logging to collect data on electrical, temperatures, amps, watts and loads.  We can place dozen's of loggers on electrical, mechanical, HVAC, lighting to record operational use for days, weeks and months.

Pin pointing an issue: For example lets say there is 150 HPS "high pressure sodium" 1000 watt light fixtures on parking lot poles. And lets say these lights are on a timer for 12 hours on 12 hours off. Yes you could do the calculations and figure out approx how much KWHs are being used. However other factors come into play. The ballast at each fixture using additional KWHs. Then there is line voltage resistance that uses KWHs. How much? No one really knows that answer unless it has been measured. At the breaker panel we place a data logger on each line voltage load that provides power to the light fixtures. The data logger will record amps & load. It will also measure on and off time.  

Now we have recorded accurate data needed to calculate how much this is costing.

ROI: Return on investment. Once we have figured out the electrical usage and operating costs for those light fixtures then we can review the costs for new LED lighting. After the new lighting has been installed we can once again return to record electrical usage on the new LEDs. Now the recorded data from before & after can be reviewed. This is the only way an accurate assessment of electrical usage and ROI can be determined. 

 DataLoggers recently provided the stand-alone condition monitoring solution for a factory producing machine parts. Worn down by years of use, an electric motor critical to the business would occasionally fail due to extended operation at high temperatures. This would often cause process delays or shutdowns, hurting profitability.

To conduct predictive maintenance, the factory needed reliable condition monitoring before problems could get worse, and also required local alarm notification when temperatures went above 160°F.