The Clockworks
Information Model

The most critical piece of fault detection and diagnostics is its “brain”— the Information Model that analyzes the BAS data and produces the diagnostics that your team will use to drive energy and operational savings.

How Is Our Approach Different?

We are often asked, “How is Clockworks’ approach to Fault Detection and Diagnostics (FDD) different?” Our unique information model goes beyond simple fault detection by identifying the relationships between issues, diagnosing the root cause, and providing clear, recommended actions.

We are able to provide the most accurate root cause diagnostics and M&V on the market because of our four-pronged global data model: equipment variables + point types + inferred relationships + calculated data. At Clockworks, we don’t oversimplify the FDD process—we’ve built software that accommodates the complexity of real data from real buildings. And we’ve built it to scale across massive portfolios. 

Root Cause Diagnostics At scale

No Custom Rule-Writing

Clockworks is an Expert System that includes point tagging, along with standardized metadata for sequences of operation and mechanical configuration. This allows the platform to account for the thousands of nuanced scenarios that appear in building portfolios without the need for custom rule-writing.

No Hardware

Clockworks is a true cloud-based SaaS product. That means that every update we make benefits all of our customers. As the system grows more intelligent with each new piece of equipment and building onboarded, so does your instance.

A Global Model

Our Information Model “learns” over time (helped by the dedicated team of professionals continuously improving its Artificial Intelligence). Each new building or piece of equipment that we onboard enhances the expertise of the entire system. This allows our customers to easily scale across building, system and equipment types.

Built for Imperfect Data

Building data is imperfect. That's why models driven by static rules with no nuanced interpretations can be less effective and often lead to a lot of time fixing messy data. Clockworks is built to adapt to the data and provide insights based on the best available information.

Chart illustrating the logic rules of an expert system to determine the ideal economizer operation

An Example: Ideal Economizer Operation

Clockworks is built as a system of expert systems (a form of AI) that mimics a human’s analysis across all kinds of buildings and equipment to dynamically produce HVAC analytics. 

To the left you can see the expert system used to ensure an AHU economizer sequence is operating in an ideal state. This is the same analysis that expert commissioning and controls engineers use when analyzing system performance manually. 

One can quickly see how an expert system is necessary to apply fault detection across the hundreds and thousands of scenarios these rules run into across a portfolio of buildings.

Learn more about Clockworks’ Expert Systems (AI) →