The Barkley roup provides strategic IT services and analytics to enable its Clients to succeed. We bring together a wide variety of people, suppliers, technologies, methods, and materials, in unique ways to create value-added products and high payoff results.
There are many elegant solutions out there looking for problems. Some are open source and others are proprietary. The Barkley Group connects its Clients with existing solutions. That way Clients only have to pay for solution acquisition and usage and not for expensive and time consuming software development. Never-the-less The Barkley Group can upgrade existing solution if required.
Reduce Costs and add value to your products:
The Barkley Group, and its network of internationally known experts, aid our Clients
in selecting the best new technologies to solve their IT and engineering problems.
These solutions require the minimum new lines of code/ script to be written, because they depend heavily on software reuse. So they are usually the least expensive and fastest to implement.
- Often have a steep learning curve.
- Embody abstractions whose meaning depends on context, and are therefore difficult to learn and appreciate the value of. For example, if c is a car, then c can be an oldsmobile or a cadillac or a ford, etc. and this is dependent of the problem you are solving.
- Decision makers don't usually have the time to spend learning about dozens of new technologies. This is on the outside chance one or more of of these technologies will reduce costs and increase profits. So they stick with the old, expensive and time consuming, methods which are in their comfort zone.
- Companies and their decision makers, often have agendas which don't fully embrace efficiency. So little changes until there is a major shakeup in their industries.
The Barkley Group and Its network of "Out of the box" thinkers usually find awesome
"Out of the box" solutions to client's problems.
Many of these problems are "Out of the box" problems in ways which our clients may never have thought of.
Improve Usefuness of Your Products at a lower development cost:
Get access to affordable and awesome computational power.
Develop complex software at 1/10 th to 1/100 th of the usual costs. Here are examples of using Mathematica to make your Reports, written in Mathematica Notebooks and Mathematica numerical models intuitively interactive. There are many forms of Man Machine Interfaces (MMIs) supported by Mathematica. To see examples of some Mathematica MMI Artifacts click on one of the items a through d. below for a demo for that MMI Artifact .
- Check Boxes.html
- Facial Recognition
- List Management
Process models, are usually based on first principles. Add Machine Learning, based on existing data, to your process models, to improve overall accuracy.
Use robotics to improve your company's efficiency, product quality and earnings.
The following paragraphs discuss aspects of improving efficiency
- Software Development
- Mathematical Modeling of Complex Processes Starting from First Princoples
- Integration of B. with Machine Learning to Produce more Reliable Models
- Solution Visualization
- Interactive Documents
- Super Computing
Our technical process is tailored to fit each client’s needs, whether it is for one or hundreds of buildings. We use the best available technology to insure satisfactory results.
Barkley Group Approach
Barkley Group Approach (Details).
Barkley Group Interactive Reports.
We use computer models of buildings to calculate the expected energy usage for heating and cooling, as loads vary with changing
outside weather – temperature, sun, and wind conditions.
- There are many excellent software packages out there for analyzing energy usage in buildings. A widely accepted package is DOE-2.
- Another system, which is layered on top of DOE-2, is Green Building Studio by
Autodesk Green Building Studio
Revit Energy Analysis System
The expensive part of analyzing the energy usage of a large number of buildings is getting the correct information about the buildings into the computer. This information includes, but may not be limited to, data about building envelope area, window type and area, heating and cooling system types, manufacturers, size and seasonal energy efficiency, wall and roof thermal resistance numbers or U values, building ventilation fans.
Predicted building energy usage.
Years of experience enables us to look at the energy modeling program outputs, and quickly identify results which are unrealistic. In this way, we can quickly trace the unreasonable outputs to the input data and make appropriate corrections. Yet, there are some characteristics of the energy usage of a building which are very difficult to determine during just a walk through. To insure that we have a good understanding of how each building uses energy, we install real time sensors at key points in each building and send the data back to our servers over the internet.
We use this data to do multiple, self-verifying calculations of how each building uses energy, fine tune the analysis, eliminate ambiguities, and minimize unknowns. For example, it may not be possible to determine all the pathways for air infiltration into a building during a building walk through. Using multiple sources of information from a building to perform duplicate calculations improves accuracy and analysis repeatability.
Wireless temperature, humidity, CO, and CO2 and Global Positioning System enabled sensor packages are placed at selected points in each building and the information is collected and sent over the internet back to our severs. This information is then displayed on a 3 dimensional image of each building so that a building owner or manager can see what the environmental conditions are in their buildings, and how much energy each building is using.
1) A Group of buildings captured in 3 dimensions in a LiDar Point Cloud from an Aircraft, with one temperature sensor displayed for one of the buildings at the approximate location of the sensor in the building.
3D rendering of the LiDar point cloud from one side of the buildings
3D rendering of the LiDar point cloud from the other side
2) Street level fly-through with a thermographic camera. The blues are the colder building surfaces, and the yellows are the warmer building surfaces. Warmer building surfaces lose heat most quickly. We are developing technology so we can collect building envelope and building heat loss data much more quickly and completely from an aircraft flying over the buildings. We currently have a provisional patent on this technology
Integration of Terrestrial LiDar and Thermography. The reds, yellows and orange represent heat losses from the roof and walls of the buildings. The thermography gives the building surface temperatures, and the LiDar gives the building envelope dimensions.