What industry intelligence should we track, and how often?
返回 MACKORN 行业情报的固定观测面与可执行研究简报：竞品新品与专利动向、中国与国际破碎机专利、国家标准更新、矿山机械市场数据。
| Parameter | Type | Description |
|---|---|---|
focus | string | 只取某个观测项：观测项 id（如 W-SANDVIK / W-PATENT-INTL）或类别（竞品动向/专利/标准规范/市场）。不填则只返回"已到期该采集"的项。 |
Run via: local plugin
Input:
{}
Output (first fields):
| Field | Value |
|---|---|
generated_at | 2026-10-21T16:21:12.689Z |
due_only | true |
items | [6 项] |
workflow | [6 项] ["1) 用你的 web 搜索/抓取工具按 queries 检索（本插件自身不联网，检索由 AI 完成）","2) 对每条有效发现，摘出「事实 + 数字 + 出处链接 + 发布日期」","3) 调用 mackorn_knowledge_update 写入，source_url 必填（否则拒收）","4) 工具会自动做可信度分级与数值矛盾检测；出现矛盾会并列保留并标 open/proposed"] |
honesty_note | 本插件不发起网络请求：情报获取由具备联网能力的 AI 完成，插件负责纪律（必填来源）、可信度分级、矛盾检测、版本演进与 PDCA 留痕。 |
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_intel_watch","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.