# OPC DA Diagnozer — Project Specification **Version:** 0.1 (draft) **Status:** Planning **Target platform:** Windows only (OPC DA is a COM/DCOM technology) --- ## 1. Problem statement We experience intermittent **disconnections** and/or **high communication latency** between a SCADA system and a control system that communicate over **OPC DA** (Data Access, the COM/DCOM-based predecessor of OPC UA). Today we have no objective evidence to answer the key triage question: > *Is the problem in the SCADA host, the network/DCOM layer, the OPC DA server, or the > link between the OPC server and the control devices?* OPC DA failure modes are notoriously hard to diagnose because failures surface as generic `HRESULT` errors, hung calls with **no client-side timeout**, or silently degraded item quality — long before the SCADA operator sees anything. ## 2. Approach Deploy an **independent, read-only OPC DA reference client** that continuously exercises the same path the SCADA uses: - Connect to the OPC DA server (local or remote via DCOM) from a Windows machine. - Poll a small, pre-defined list of tags at a fixed interval. - Measure **read round-trip time (RTT)**, track **item quality** (GOOD / UNCERTAIN / BAD and subcodes), **device timestamps**, and **connection state**. - Emit structured, timestamped **diagnostic events** whenever anything deviates from normal — disconnects, slow reads, hung calls, quality degradation, frozen/stale values. Because the client is independent of the SCADA, its observations provide a **reference baseline** against which the SCADA's complaints can be triangulated (see §12). ## 3. Deployment architecture ```mermaid flowchart LR subgraph SCADAzone["SCADA zone (or dedicated diag host)"] DIAG["OPC DA Diagnozer
(Windows service)"] end subgraph CTL["Control system / OPC DA server host"] OPC["OPC DA server
(COM/DCOM out-of-proc)"] DEV["Control devices / PLC link"] end DIAG -- "DCOM reads (RPC 135 + dynamic ports)" --> OPC OPC -.-> DEV DIAG -- "Events (JSONL / Event Log / HTTP)" --> OPS["Engineers & monitoring"] ``` Placement note: run the tool **as close to the SCADA machine as possible** (same host or same network segment) so its measured latencies are comparable to what the SCADA experiences. Optionally run a second instance next to the OPC server host for differential diagnosis. ## 4. Goals 1. Run unattended as a **Windows service** (auto-start, SCM crash recovery). 2. Connect to a configured OPC DA server (local or remote DCOM) and read a configured tag list. 3. Detect and report, with precise timestamps: - disconnections and reconnects (including DCOM error codes), - hung / timed-out RPC calls, - read latencies exceeding thresholds (single spikes, streaks, and trends), - tags whose quality is BAD or UNCERTAIN (with decoded subcode), - persistent-bad and flapping (oscillating) quality per tag, - stale device timestamps / frozen values while quality reports GOOD, - mass quality degradation (many tags BAD at once → control-link problem). 4. Produce durable, machine-readable evidence (structured logs + Windows Event Log + optional HTTP webhook) suitable for incident review and correlation. 5. Be **strictly read-only** and lightweight — must not perturb the system it measures. ## 5. Non-goals (v1) - No writes to the OPC server (no `Write` code path at all). - No OPC UA, OPC HDA, or Alarms & Events support. - No data historian / storage of every sample (only events + periodic summaries). - No UI/dashboard in v1 (JSONL logs + webhook are enough for Loki/Grafana ingestion). - No automatic remediation (diagnose only). ## 6. Detection rules | ID | Condition | Default rule | Severity | |----|-----------|--------------|----------| | D1 | Connection lost | Any read/connect COM failure | CRITICAL (event incl. decoded HRESULT) | | D2 | Reconnect succeeded | After D1, reconnect works | INFO (event with outage duration) | | D3 | Reconnect flapping | > 3 disconnects in 10 min | CRITICAL | | D4 | Slow poll (spike) | Single read RTT > `warn_ms` (default 1000) | WARN | | D5 | Sustained slow polls | RTT > `warn_ms` for `slow_poll_streak` (5) consecutive polls | CRITICAL | | D6 | Latency trend | p95 RTT over last `window_polls` (60) > `warn_ms` | WARN | | D7 | Poll hang | Read call does not return within `timeout_ms` (5000) — see §10.4 | CRITICAL (immediate), see recovery behavior | | D8 | Tag quality → BAD | Any transition into BAD, decoded subcode | WARN (per tag) | | D9 | Tag quality → UNCERTAIN | Any transition into UNCERTAIN | INFO | | D10 | Persistent bad tag | Single tag BAD longer than `persistent_bad_s` (30) | WARN (escalated from D8) | | D11 | Quality flapping | > 5 quality transitions for one tag within 10 min | WARN | | D12 | Stale timestamp | Device timestamp older than `max_age_s` (120) while quality GOOD | WARN | | D13 | Frozen value | `expect_change: true` tag with unchanged value+timestamp for `max_age_s` | WARN | | D14 | Mass quality degradation | ≥ 50% of monitored tags BAD simultaneously while connection OK | CRITICAL (`CONTROL_LINK_DEGRADED` — points at OPC-server↔device link, not DCOM) | | D15 | Heartbeat / summary | Periodic stats snapshot every `heartbeat_s` (300) | INFO | | D16 | Device link down | A configured device-indicator tag reads `false`, or any quality other than GOOD, or a read error | CRITICAL per device (`DEVICE_LINK_DOWN`); D1/D2 do **not** imply device-link state | All thresholds are configurable; severities are INFO / WARN / CRITICAL. ### 6.1 Device connection-indicator tags (D16) The config names one or more tags as **device-link indicators**: values the control system maintains that say whether the OPC server can reach the device. The **normal (connected) reading is configurable per indicator** — conventions differ per control system, so it is never hardcoded: ```yaml devices: - { name: "Conveyor 3", tag: "...Connected" } # any truthy: true/1 - { name: "Pump A", tag: "...PumpAFault", ok_values: [false, 0] } # inverted fault flag - { name: "Boiler 2", tag: "...State", ok_values: ["RUN"] } # enum/string state ``` Default `ok_values: [true]` (boolean connected-flags are the common case). Value comparison is by **string equality** on the read value rendered as text (`"True"`, `"1"`, `"RUN"`), so type quirks across systems cannot cause false positives; quality must also be GOOD. Semantics (all DOWN cases are logged as `DEVICE_LINK_DOWN`): | Indicator reading | Interpretation | |-------------------|------------------| | GOOD + value ∈ `ok_values` | Device connected — normal | | GOOD + value ∉ `ok_values` | **Device link down / fault** — CRITICAL (works for inverted fault-flags: a fault `1` is not in `[false, 0]`) | | Any quality other than GOOD (BAD/UNCERTAIN) | **Something is wrong with the device link** — CRITICAL | | Read error (tag unreadable) | **Something is wrong with the device link** — CRITICAL | Device-link state is per indicator tag: the config maps each indicator to a human-readable device name for the log lines (see `config.example.yaml`). Recovery (`DEVICE_LINK_UP`) is logged when the same indicator reads GOOD with an ok value again. A value that is neither in `ok_values` nor a recognized fault shape still logs DOWN — the normal state is explicit, and everything else is "not normal" by definition. ## 7. OPC DA quality codes (reference) OPC DA quality is a 16-bit field. Bits 7–6 of the low byte give the class: `0xC0` GOOD, `0x40` UNCERTAIN, `0x00` BAD. Bits 5–0 are the substatus. Values the tool decodes and names: | Code | Meaning | |------|---------| | `0xC0` | GOOD | | `0xD8` | GOOD / local override | | `0x44` | UNCERTAIN / last usable value | | `0x40` | UNCERTAIN (unspecified) | | `0x00` | BAD (unspecified) | | `0x04` | BAD / configuration error | | `0x08` | BAD / not connected | | `0x0C` | BAD / device failure | | `0x10` | BAD / sensor failure | | `0x14` | BAD / last known value | | `0x18` | BAD / communication failure | | `0x1C` | BAD / out of service | Remaining UNCERTAIN subcodes (DA 2.05a) are decoded by the same table in `quality.py`. Every quality event carries the raw hex code **and** the decoded name. **Clear-text status rule:** wherever a status or quality is reported — JSONL fields, the text log, Event Log, console — it is written in clear text with the raw code in parentheses: `BAD / communication failure (0x18)`, `GOOD (0xC0)`. Nobody should have to decode hex codes by hand, but the raw code stays for unambiguous correlation with vendor documentation and the HRESULT table. ## 8. Event model Every event is a structured record: ```json { "time_utc": "2026-10-07T12:34:56.789Z", "kind": "QUALITY_BAD", "severity": "WARN", "detail": { "tag": "Channel1.Device1.Counter", "quality_raw": "0x18", "quality": "BAD_COMM_FAILURE", "previous_quality": "GOOD", "value": 1234.0, "device_time_utc": "2026-10-07T12:34:55.100Z", "rtt_ms": 42.1 }, "context": { "uptime_s": 3600.5, "reconnects_total": 2, "rtt_p95_ms": 55.2, "tags_bad": 3, "tags_total": 25 } } ``` `time_utc` is always the **local client receive time** (wall clock), so events remain comparable even if the remote host's clock is wrong. Device timestamps are reported alongside and clearly labeled. ## 9. Outputs (reporters) | Reporter | Purpose | Notes | |----------|---------|-------| | JSONL rotating file | Primary evidence trail | One JSON event per line; rotation by size; default dir `%ProgramData%\OPCDA-Diagnozer\logs` | | **Plain-text anomaly log** | Human-readable evidence | One line per **detected anomaly** (not heartbeats): timestamp, kind, tag/device, message with clear-text status `NAME (0xNN)`; same rotation scheme as JSONL. See §9.1 for the line format | | Windows Event Log | Ops visibility | WARN+ only; source `OPCDA-Diagnozer` | | Console | Foreground/debug runs | Human-readable | | HTTP webhook (optional) | Alert integration | POST one JSON event per request, optional bearer token | Reporters are pluggable (`Reporter.emit(event)`); a heartbeat event every 5 minutes proves liveness and enables baseline graphs even when everything is healthy. The JSONL file stays the machine-readable source of truth; the text log is a human-first convenience view of the same events — every text line corresponds to a JSONL record. ### 9.1 Plain-text anomaly log format File `anomalies-YYYYMMDD.log` (daily rotation, size-capped) in the same log directory. One line per detected anomaly — anomalies only; heartbeats and reconnect-OK events do not appear here. Clear text first, codes in parentheses: ``` 2026-10-07 14:23:01.123 UTC WARN QUALITY_BAD tag 'Channel1.Device1.Counter' changed GOOD (0xC0) -> BAD / communication failure (0x18) 2026-10-07 14:24:31.500 UTC CRITICAL DEVICE_LINK_DOWN device 'Conveyor 3': link indicator 'Channel1.Device3.Connected' read false (GOOD) 2026-10-07 14:26:02.780 UTC CRITICAL DEVICE_LINK_DOWN device 'Conveyor 3': link indicator 'Channel1.Device3.Connected' quality BAD / not connected (0x08) 2026-10-07 14:27:10.001 UTC CRITICAL POLL_HANG read call hung > 5000 ms; COM thread abandoned and rebuilt 2026-10-07 14:30:00.000 UTC CRITICAL CONTROL_LINK_DEGRADED 12 of 14 monitored tags BAD while connection OK ``` Fields (pipe-free, fixed order): `timestamp SEVERITY KIND message`. Timestamps are the local receive time in UTC (§8). The message carries the clear-text status with the code between parentheses per §7. A matching recovery (link back up, quality back to GOOD) is also logged as an anomaly line, so the log reads as a continuous incident narrative. ## 10. Operational behavior ### 10.1 Run as a Windows service - Registered via pywin32 (`opcda-diagnozer install`), auto-start, runs under a **dedicated service account** (required for DCOM authentication, see §11). - SCM recovery: restart on failure (first/second failure), plus internal watchdog. ### 10.2 Connection state machine ```mermaid stateDiagram-v2 [*] --> Connecting Connecting --> Connected : connect OK Connecting --> ReconnectWait : COM error Connected --> ReconnectWait : read error / hang ReconnectWait --> Connecting : backoff elapsed ``` Reconnect backoff: exponential 1 s → 2 s → … capped at 60 s. Every disconnect/reconnect pair is an event; outage duration is computed and reported. ### 10.3 COM apartment handling All OPC/COM work runs on one dedicated STA thread inside the service process (`pythoncom.CoInitialize()` on that thread only). Detectors run on the same thread (pure Python, cheap); event reporting happens off-thread via a queue so slow I/O never blocks polling. ### 10.4 The DCOM hang problem (important) DCOM/RPC calls have **no client-side timeout**. If the network path breaks silently (e.g., firewall drops), a read call can block for tens of seconds to minutes without erroring. The tool handles this explicitly: 1. A watchdog flags a **poll hang** (D7) as soon as a call exceeds `timeout_ms`. 2. If the hang exceeds `hard_hang_s` (default 120 s), the service abandons the stuck thread and creates a fresh connection on a new thread (stale `RPC` objects are released by COM). 3. Hang events are distinguished from clean disconnects — this is often the smoking gun for silent network drops. ### 10.5 Safety constraints - Read-only by construction: no write API is called; the code has no write path. - Single OPC group, static item list, modest poll rate (default 1 s) to keep added server load negligible. - Configuration errors fail fast at startup with actionable messages (`opcda-diagnozer check-config` validates without connecting… and `--probe` connects once and reports). ## 11. Environment & constraints | Constraint | Consequence | |------------|-------------| | OPC DA is Windows/COM only | Service runs on Windows only (Server 2012 R2 … 2022, Win 10/11) | | OPC DA wrappers are often **32-bit** DLLs (OPC DA Automation Wrapper `OPCAutomation.dll`, Graybox `GBDaCtl.dll`) | Python interpreter bitness must match the wrapper DLL — likely **32-bit Python** for v1; decision in Phase 0 | | DCOM security | The service account needs Launch+Activation and Access permissions on the OPC server (via `dcomcnfg`); account must authenticate across the network (not `LocalSystem`) | | Post-2022 Windows DCOM hardening (KB5004442 family) | DCOM activation now requires explicit authentication; legacy OPC setups may fail activation — errors must be reported clearly | | RPC over TCP | Firewall: TCP 135 + RPC dynamic port range on the server host; misconfig shows up as `RPC_S_SERVER_UNAVAILABLE` | | Clock skew | Device timestamps may be misleading; every event also carries local receive time; recommend NTP on both hosts | ## 12. Diagnostic interpretation matrix (why this tool exists) | Observation from the Diagnozer | Most likely problem location | |--------------------------------|------------------------------| | Clean reads, low RTT, all GOOD — while SCADA still complains | SCADA host itself: per-machine DCOM permissions, CPU/memory saturation, its own group/subscription load | | Diagnozer also sees disconnects / RPC errors | Shared path: network, firewall, DCOM layer, or OPC server host | | Connection stable, but `BAD_COMM_FAILURE` on many device tags | Link between the OPC server and the control devices (downstream of OPC) — **not** a DCOM/network problem | | Slow RTT spikes at consistent times of day | Server load pattern; correlate with heartbeat summaries | | Hangs without errors returned (D7) | Silent network drop (firewall/MTU/NIC) — classic DCOM pitfall | | One instance (SCADA zone) slow, other (server zone) fast | Network segment between the zones | ## 13. Acceptance criteria (v1.0) - **AC1** Runs as a service, survives reboot, auto-starts, recovers from a killed process. - **AC2** Detects OPC server process stop within one poll interval (or one hang window for silent drops). - **AC3** Detects injected latency above thresholds within 1–2 polls; event contains measured RTT. - **AC4** Quality transitions produce events with raw code and decoded name. - **AC5** Staleness/freeze detection within tolerance of `max_age_s`. - **AC6** No OPC writes are ever issued (code review + no write path exists). - **AC7** Events land in JSONL and Event Log; heartbeats appear even when all is healthy. - **AC8** Invalid config fails fast with actionable messages. - **AC9** Footprint ≤ ~50 MB RAM, ~0% CPU while idle-polling on a healthy link. - **AC10** 24 h soak against a simulation server: no leaks, correct reconnect accounting. ## 14. Future extensions (post-v1) - Async subscription monitoring (`IOPCAsyncIO2` DataChange) to compare push vs. poll latency — validates the SCADA's actual callback path. - Per-item latency bisection (read items individually to isolate a slow tag). - SQLite time-series of samples for post-incident graphing. - Prometheus exporter / Grafana dashboard. - Email / Teams / webhook alerting with deduplication. - Multi-server monitoring in one service.