Top Problem Nodes

Fleet operational health summary — a 0-100 score across battery, comms, data quality and passport completeness, ranking the nodes that need attention first.

Fleet nodes ranked by operational health: whose battery is dying, who dropped off the network, who has bad data or an empty device passport. It is built for operations and dispatch — open it in the morning, see what to fix first, then drill into a node’s full analytics.

The four dimensions

Dimension	Weight	What it evaluates
Battery	30%	last charge (mV) and drop rate over the window; below 3000 mV — critical
Comms	30%	days since the last session + share of gaps in the hourly archive
Data quality	20%	out-of-range values, stuck sensors, pressure/temperature spikes
Passport	20%	device passport completeness (max flow, serial number, gas composition…); an empty passport means an inventory visit is needed

The overall 0-100 score is a weighted sum: ≥60 is critical, 30-60 is watch, and below 30 is normal.

How it works

A two-stage scheme keeps the load light. First a pre-selection of the whole fleet by metadata (session age, device status) — no heavy requests. Then a deep analysis of the top-200 candidates (hourly archive and link sessions) in several parallel workers. The final table is built from that result.

Run parameters

Parameter	Default	Meaning
Period from / to	last 30 days	analysis window
How many nodes in the table	100	final table size
Nodes for deep analysis	200	candidates to analyze after pre-selection
Parallel download workers	8	lower to 2-4 on HTTP 429
Utility company	from context	fleet filter

What’s inside

A level distribution, an AI summary and conclusions, and a table with four dimension badges per node. Each node carries an Analytics button that opens its full breakdown — events, pressure, temperature and consumption.