mackorn_automation_design

What does mackorn_automation_design do?

What it answers

(Multilingual triggers / 多语言触发词: automation, PLC, DCS, SCADA, HMI, model predictive control, MPC, expert system, soft sensor, digital twin, instrumentation, interlock, variable frequency drive, VFD, soft starter, electrical drive, 自动化, 模型选矿, 先进控制, 专家系统, 软测量, 数字孪生, 仪表, 联锁, 变频器, 软启动, 电气驱动, 配电 | automatización, PLC, SCADA, control predictivo | Automatisierung, SPS, Leittechnik, prädiktive Regelung | автоматизация, ПЛК, АСУ ТП, предиктивное управление | automatisation, API, supervision, commande prédictive | automação, CLP, supervisão, controle preditivo | 自動化, PLC, 監視制御, モデル予測制御 | automation, PLC, övervakning | automatisering, PLC, overvågning | automaatio, PLC, valvonta | أتمتة, PLC, تحكم تنبؤي | otomasi, PLC, SCADA, kontrol prediktif) MACKORN 自动化与模型选矿方案工具(全价值链第 5 段):按工序与处理量,给自动化分层建议(L0 现场层 / L1 PLC / L2 DCS-SCADA / L3 先进控制)、关键仪表清单(破碎/磨矿/选矿分列,标注哪些是关键)、控制回路清单(给料量/CSS/磨机负荷/浓度/旋流器压力/联锁)、电气驱动要点(高压vs低压、变频适用、软启动、过铁硬线联锁、谐波)。 ★ 并主动拦截「没基础就上先进控制」:无 PLC / 无 SCADA / 无在线分析 / 无专职维护人员时,明确判定【不具备上 L3 条件】并说明原因。 用于回答:这条线该配几层自动化、要装哪些仪表、有什么控制回路、能不能上模型选矿。 【适用边界】本工具只管【自动化架构与仪表清单】;不含品牌组态、PID 整定值、仪表型号、电气单线图,正式设计须由有资质设计院出图 + 现场调试。

Input parameters

ParameterTypeDescription
sectionstring工序。
target_tphnumber处理量 t/h。
has_plcboolean是否已有 PLC(L1)。
has_scadaboolean是否已有 SCADA/DCS(L2)。
has_online_analyzerboolean是否有在线品位/粒度分析仪表。
has_dedicated_staffboolean是否有专职维护人员。
modestring只查目录或只做推荐。

Worked example (real output, not a mock-up)

Run via: local plugin

Input:

{}

Output (first fields):

FieldValue
request.sectionnull
request.targetTphnull
request.hasPlcfalse
request.hasScadafalse
request.hasOnlinefalse
request.hasStafffalse
errorinsufficient_input
message至少需要 section(工序)或 targetTph(处理量),否则无法判断自动化范围
recommended_layers[0 项]
assumptions[0 项]
warnings[1 项] ["输入不足:既没给工序也没给处理量。自动化范围高度依赖这两项,不能猜。"]
basisNO_CALCULATION

How to call it

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_automation_design","arguments":{}}}'

Endpoint: https://mackorn.cn/ai/api/mcp.php · Registry: cn.mackorn/mackorn-cone-crusher · npm: mackorn-cone-crusher

Data sources and limits

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.