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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 21:07:04 +01:00

2.4 KiB

name, description
name description
evolv-mechanical-rotating-equipment Provide rotating equipment engineering guidance for EVOLV machine and pumping logic. Use when implementing or reviewing `rotatingMachine`, `machineGroupControl`, pump/motor behavior, operating envelopes, efficiency/power curves, surge/choke limits, and physically plausible constraints in node domain logic.

EVOLV Mechanical Rotating Equipment

Mission

Keep rotating equipment behavior physically plausible, safe, and diagnosable in EVOLV JavaScript domain classes.

Harness Execution Contract

  • Start from equipment assumptions and current curve/sensor sources in repo.
  • Define invariants before edits:
    • physical plausibility constraints remain enforced
    • degraded/fail-safe behavior remains explicit
    • outputs remain diagnosable for operations teams
  • Validate with boundary-condition evidence and deterministic test outcomes.

Scope

  • nodes/rotatingMachine/
  • nodes/machineGroupControl/
  • nodes/pumpingStation/
  • Related shared curve/model datasets in nodes/generalFunctions/datasets/assetData/

Engineering Checklist

  1. Validate units and conversions before algorithm changes.
  2. Enforce operating envelope constraints:
  • min/max speed
  • flow/head boundaries
  • power/torque limits
  • efficiency range sanity
  1. Prevent impossible states (negative flow where not allowed, non-physical efficiencies, unstable mode transitions).
  2. Define clear degraded behavior for out-of-range inputs.
  3. Preserve interpretability: outputs should map to recognizable mechanical concepts.

Implementation Pattern

  • Keep mechanics in src/specificClass.js.
  • Keep Node-RED concerns in src/nodeClass.js.
  • Use shared helpers from generalFunctions for logging/config assertions.

Test Expectations

Add/adjust tests under node-specific test/ for:

  • boundary conditions
  • invalid sensor/input combinations
  • regression of known machine edge cases
  • deterministic output under repeated ticks

Deliverables

Return:

  • assumptions about equipment type and curve source
  • implemented constraints and rationale
  • test coverage for boundary cases
  • remaining mechanical uncertainties requiring field data

Decision interview triggers:

  • safety envelope changes (speed, power, flow/head boundaries)
  • curve-source replacement with uncertain field alignment
  • degraded-mode changes that affect availability vs protection tradeoffs