ZENERGY 众壹能源
SINGLE PLANT · Monitoring

Drill into one plant
read every curve

From fleet down to a single plant: live power curve, inverters, strings, meters and irradiance in one view. Multi-OEM devices unified; faults pinpointed to device, string, even module.

MODULES · What you see

Data you can monitor per plant

From the live curve to inverters, strings, meters and irradiance — five data groups see a plant through.

01 / Live operation

Live power curve & daily output

The single-plant view shows the live generation power curve, today's energy, instantaneous irradiance and PR, overlaid against theoretical output so anomalies stand out.

  • Live power curve (minute-level)
  • Today / month generation
  • Live irradiance · PR · equiv. hours
  • Theoretical vs actual benchmark

Answers "is this plant generating normally right now" — live curve vs theory catches underperformance instantly.

02 / Inverters

Inverter operating-status monitoring

Per-inverter DC / AC power, efficiency, temperature, status codes and online state in one place; offline, derated or faulted inverters are flagged first.

  • Per-inverter DC / AC power & efficiency
  • Internal temp · status code · online
  • Offline / derate / fault pinned
  • Multi-OEM inverters unified

Answers "which inverter is dragging generation down" — the whole fleet of inverters lined up, faulty unit obvious.

03 / Strings

String-level current/voltage & mismatch

Live string current and voltage monitoring, auto-comparing dispersion across strings on the same MPPT to detect shading, mismatch and dropped strings.

  • Live string current / voltage
  • Dispersion across same-MPPT strings
  • Shading / mismatch / dropout detection
  • Anomalous strings pinpointed

Answers "which string is hiding the loss" — re-exposes hidden losses that string-level averaging buries.

04 / Metering

Gateway meters & grid metering

Gateway meters, grid-connection meters and load meters read centrally; export, consumption and self-consumption ratio metered live, giving settlement an authoritative basis.

  • Gateway / grid-point meter readings
  • Export · consumption · self-use ratio
  • Forward/reverse active & reactive energy
  • Metering feeds smart settlement

Answers "how much was actually exported and self-used" — metering feeds settlement so generation and revenue reconcile.

05 / Environment

Irradiance & environmental sensing

Pyranometer, module temperature, ambient temperature and wind speed feed in as the benchmark for generation and alarm logic, separating "weather" from "equipment fault."

  • Horizontal / tilted-plane irradiance
  • Module temp · ambient temp · wind
  • Irradiance-generation correlation
  • Weather vs equipment-fault distinction

Answers "is the dip weather or a broken device" — irradiance baseline separates environmental effects from real faults.

FAQ · Single plant

Frequently asked questions

Available data and weather-vs-fault attribution.

01

What data can the single-plant monitoring view show?

ZenovaOS single-plant monitoring drills from fleet down to one plant, with five core data groups: (1) live operation (minute-level power curve, today/month generation, live irradiance, PR, theoretical vs actual); (2) inverters (per-unit DC/AC power and efficiency, internal temp, status codes, online state, multi-OEM unified); (3) strings (live current/voltage, same-MPPT dispersion, shading/mismatch/dropout detection); (4) metering (gateway/grid-point readings, export, consumption, self-use ratio); (5) environment (horizontal/tilted irradiance, module temp, ambient temp, wind). Faults pinpoint to device, string, even module.
02

How does it tell whether a generation dip is weather or a fault?

ZenovaOS feeds in pyranometer, module temperature, ambient temperature and wind as the benchmark. It correlates the live power curve against concurrent irradiance and theoretical output — if irradiance drops in sync, it's weather; if irradiance is normal but generation falls, it pinpoints the specific inverter or string as an equipment-fault alarm. This avoids mistaking weather swings for faults, and avoids missing real underperformance.
GET STARTED · Go digital

Start with a single scene
Let AI enter the workflow

Best first plays: alarm triage, trend analysis, weekly/monthly auto-reports — all three deliver results within 14 days.