Features

Features Built Around Better Chiller Comparison

Chiller Trend is not just a place to store readings. It standardizes the method, checks data confidence, calculates missing context, and turns routine logs into more useful operating evidence.

The feature set is built around one job: make chiller data worth comparing.

The core feature

Standardized method. Cleaner data. Stronger findings.

Before a team can trust a trend, baseline, peer comparison, or report, the reading method has to be consistent enough to support the conclusion.

1

Structured Field Logging

Chiller Trend gives technicians a repeatable workflow for collecting chiller readings in the field.

  • Capture chiller operating data in a consistent format
  • Record temperatures, pressures, electrical readings, flow data, oil readings, and machine-specific values
  • Keep readings tied to the correct site, chiller, date, and technician
  • Build a cleaner equipment history instead of another isolated log
2

Data Confidence Checks

Field data is useful, but it is not perfect. Chiller Trend is built around that reality.

  • Helps flag missing, questionable, or inconsistent inputs
  • Supports review before weak data turns into a weak conclusion
  • Protects against over-trusting noisy readings
  • Creates a stronger foundation for trend review and comparison
3

Calculated Operating Context

Chiller Trend calculates the values that make a log more useful than a snapshot.

  • Calculate key performance outputs when the required inputs are available
  • Support review of kW/ton, load, approach, lift, flow percentage, and related metrics
  • Turn raw field readings into operating context
  • Make it easier to explain what the readings mean
4

Trend and Baseline Review

Each saved reading adds to the chiller’s history, making changes easier to see over time.

  • Compare current readings against prior readings
  • Review performance direction across repeat visits
  • Support baseline development for future comparison
  • Help teams spot meaningful change sooner
5

Similar Machine Comparison

Chiller Trend helps teams compare machines with a more consistent method behind the numbers.

  • Compare similar chillers at the same site
  • Review performance differences under comparable conditions
  • Reduce the risk of comparing one person’s method against another person’s method
  • Make peer comparison easier to review and explain
6

Diagnostic Findings

When the data supports it, Chiller Trend helps turn the reading into clearer findings.

  • Review operating conditions through diagnostic checks
  • Separate normal readings from items that deserve follow-up
  • Use statuses like Normal, Watch, Review Needed, and Not Verified
  • Keep the mechanic in control of the final interpretation
7

Professional Reports

Chiller Trend turns readings and calculated outputs into reports people can review and defend.

  • Generate professional chiller log sheets
  • Create clearer customer-facing summaries when available
  • Support internal review and customer communication
  • Help explain what changed, why it matters, and what should be checked next
8

Multi-Site Team Workflow

Chiller Trend helps service teams turn individual field knowledge into a repeatable company process.

  • Organize sites, chillers, readings, and reports in one workflow
  • Support technicians, account managers, and operations teams with shared records
  • Reduce dependence on memory, scattered notes, and disconnected PDFs
  • Make chiller service capability more visible and repeatable across the team
Chiller Trend standardizes the method first, because every useful feature after that depends on the quality of the comparison.

What These Features Produce

The output is not just a prettier log sheet. It is a more consistent operating record that helps teams compare, explain, and act with better evidence.

Cleaner Logs

Readings are captured with more structure and better context.

Stronger Comparisons

Trends, baselines, and similar-machine reviews become easier to trust.

Defensible Reports

Customers get clearer evidence instead of unsupported opinion.

Turn Routine Chiller Readings Into Better Operating Evidence

Start with one site, one chiller, or one comparison. See how a standardized workflow changes what the data can support.