RIOD

Charge-point fault and health telemetry with hardware-grounded labels, ingested from OCPP traffic and charge-management-system APIs across all charger brands: StatusNotification and OCPP error-code streams, meter values at session and interval granularity, StartTransaction/StopTransaction correlated session logs, vendor diagnostics where exposed (connector temperature, relay cycle counts, residual-current-device trip counts), and grid-side/site-meter data — processed into per-charger health scores trending over time, root-cause fault classification (grid vs. charger vs. vehicle), session state-machine drop-point analysis, session-success uptime metrics, and energy-delivered-versus-billed revenue anomalies. Uniquely, the vendor also writes charger firmware, so it holds internal signatures vendors never expose

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Coverage

Universe, instruments and categories.

Industry: Electrical Components & EquipmentApplication Software
Instruments: equities
Categories: AlternativeSupply ChainGeospatialEsg
Regions: APACUS
Sample tickers: TATMOTORS.NSMARUTI.NSTATAPOWER.NSADANIENT.NSPOWERGRID.NSCHPTBLNKEVGOTSLAABB.SW

Dataset card

Type: not stated
Format: Tabular plus streaming (OCPP message streams — status notifications, meter values, transaction logs — with derived per-charger time-series scores and per-fault records; deployed on the customer's own cloud and delivered with source code)
Volume: est. hundreds of millions of OCPP status and meter-value messages and tens of thousands of labelled fault events across monitored chargers — each charger emits heartbeat and status messages continuously plus meter values at interval granularity, and every session produces a start/stop-correlated record; absolute counts are not published, and custody is split across customer deployments
Users: est. tens of charge point operator, fleet and site-host organisations (inferred from a ~51-person hardware-plus-software business selling deployed on-premise installations, plus real-estate partner and franchisee dashboards implying multi-site franchise networks; no customer count published)
History: 5 years
Update frequency: not stated
Growth: Active — currently recruiting research partners for an open failure-prediction programme, shipping an analytics layer alongside a hardware and firmware business, with an active delivery leadership function
Launched: est. ~2019-2022 for the charging hardware and software business (a ~51-person firm whose funding stage is recorded as 'Other' rather than an early venture round, indicating an established operating business); the charger intelligence layer is a more recent software line built on that installed base
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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