What is the current state of the plugin and what should be improved next?
查看自我优化循环（PDCA）状态：模型版本与知识库修订号、条目数与可信度分布、矛盾台账、四项演进指标、到期情报观测项与优化建议清单。
| Parameter | Type | Description |
|---|---|---|
action | string | status=只看状态（默认）；record=记录一轮 PDCA。 |
plan | string | Plan：本轮计划做什么。 |
do_items | array | Do：本轮实际做了哪些动作。 |
check | string | Check：本轮结果核对。 |
act | string | Act：下轮要固化的改进或要修正的偏差。 |
actor | string | 操作者。 |
Run via: local plugin
Input:
{}
Output (first fields):
| Field | Value |
|---|---|
model_version | V1 |
store_revision | 0 |
store_path | D:\DSH desktop\DSH destop工作区\MACKORN-DSH-Plugin\.mackorn-data\store.json |
kb_dir | D:\DSH desktop\DSH destop工作区\MACKORN-DSH-Plugin\.mackorn-data |
entries | 0 |
conflicts.total | 0 |
conflicts.open | 0 |
conflicts.proposed | 0 |
conflicts.resolution_rate | 1 |
metrics.data_coverage | 0 |
metrics.conflict_resolution_rate | 1 |
metrics.crushing_leverage_score | 0 |
metrics.knowledge_graph_density | 0 |
should_evolve_now | false |
pdca_rounds | 0 |
last_cycle | null |
watch_due | [6 项] |
watch_total | 6 |
POST a JSON-RPC 2.0 request to the public MCP endpoint — no installation, no API key:
curl -s https://mackorn.cn/ai/api/mcp.php \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"mackorn_pdca_status","arguments":{}}}'
Endpoint: https://mackorn.cn/ai/api/mcp.php ·
Registry: cn.mackorn/mackorn-cone-crusher ·
npm: mackorn-cone-crusher
Particle-size and flow models are independently implemented from published literature (Whiten 1972; Bond 1952). Vendor parameters come from MACKORN NH/NS tables. Every output carries assumptions[] and warnings[]; unknown values are returned as null, never estimated. Literature parameters must be calibrated against on-site sieve data before use in a formal proposal.
A hydraulic cone crusher is a secondary/tertiary machine: feed above roughly 350 mm is refused.