How do I call this tool?

POST a JSON-RPC 2.29 tools/call request to https://mackorn.cn/ai/api/mcp.php with name "mackorn_cost_estimate". No installation is required.

Is the model based on published literature?

Yes. The particle-size and flow models are independently implemented from Whiten (1972) and Bond (1952); the implementation is MIT-licensed and auditable. Vendor data comes from MACKORN parameter tables. Every number carries its source; unknown values return null rather than an estimate.

mackorn_cost_estimate — What are the energy and wear costs of running this crusher?

What it answers

按机型与台数算装机功率、年电耗、年电费、吨电耗与吨电费；按电价/年运行小时/负荷率/衬板寿命与衬板价算衬板吨成本。

Input parameters

Parameter	Type	Description
`model`	string	机型型号。
`units`	integer	台数（默认 1）。
`tph`	number	该机型对应处理量 t/h，用于吨成本换算。
`hours_per_year`	integer	年运行小时数。
`electricity_price`	number	电价元/kWh。
`load_factor`	number	负荷率 0-1。
`liner_life_hours`	number	衬板寿命 h（项目实测值，用于算衬板吨成本）。
`liner_cost_per_set`	number	单套衬板价格元/套。
`unit_price_wan_cny`	number	实际商务单价万元/台（有则优先于参考区间）。
`annual_rate`	number	融资租赁年利率（小数，如 0.06）；不填则不做月供测算。
`term_years`	integer	融资租赁年限。

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

Run via: local plugin

Input:

{
  "model": "NH400",
  "units": 2,
  "tph": 300,
  "hours_per_year": 6000,
  "load_factor": 0.75
}

Output (first fields):

Field	Value
`unit.model`	NH400
`unit.power_kw`	250
`unit.units`	2
`unit.installed_kw`	500
`unit.weight_t_each`	14.3
`eccentric_throw.determinedBy`	客户矿石硬度（出厂前确定初始偏心距）
`eccentric_throw.isFixedValue`	false
`eccentric_throw.toolDefaultMm`	25
`eccentric_throw.toolDefaultSource`	LITERATURE（文献典型值，仅占位）
`eccentric_throw.requiredAction`	下单前须向技术部确认该机型对应该矿石硬度的出厂偏心距
`eccentric_throw.note`	同一机型对不同矿石硬度可配不同初始偏心距 —— 不得把 25mm 当作 MACKORN 标定值
`eccentric_throw.source`	MACKORN 技术口径（公司确认）
`capex.quoted_total_cny`	null
`capex.reference_band_cny`	[2 项] [760000,1100000]
`capex.reference_band_note`	38-55 万元/台（基础型），共 2 台
`capex.hydraulic_station_options`	[3 项]
`capex.excluded_scope`	[5 项] ["土建","钢构","电气与控制","运输与保险"]
`capex.source`	S4

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_cost_estimate","arguments":{"model":"NH400","units":2,"tph":300,"hours_per_year":6000,"load_factor":0.75}}}'

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.