MineIntel AI | Mining Intelligence Workspace

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Search, ShieldCheck, Sparkles, Target, Wrench, X } from 'lucide-react' const navItems = [['command','Command Center',Target],['mining','Mining Intelligence',BarChart3],['geo','Geological Intelligence',Layers3],['docs','Document Intelligence',FileText],['agents','AI Agents',Bot],['copilot','AI Copilot',Sparkles],['reports','Report Studio',FileText],['review','Review & Approval',ClipboardCheck],['audit','Audit & History',Activity],['data','Data Management',Database]] as const const production = [{m:'Jan',t:100000,a:96000},{m:'Feb',t:105000,a:109000},{m:'Mar',t:110000,a:98000},{m:'Apr',t:115000,a:112000},{m:'May',t:120000,a:121000},{m:'Jun',t:125000,a:108000}] const equipment = [{m:'Jan',a:92,d:8},{m:'Feb',a:93,d:7},{m:'Mar',a:82,d:18},{m:'Apr',a:91,d:9},{m:'May',a:93,d:7},{m:'Jun',a:79,d:21}] const quality = [{m:'Jan',ash:17.5,moisture:8.2,cv:4250},{m:'Feb',ash:18.1,moisture:8.5,cv:4200},{m:'Mar',ash:23.4,moisture:9.1,cv:3950},{m:'Apr',ash:18.7,moisture:8.4,cv:4180},{m:'May',ash:17.9,moisture:8.1,cv:4300},{m:'Jun',ash:24.1,moisture:9.5,cv:3900}] type IconType = typeof Target type Tone = 'neutral'|'good'|'watch'|'critical' function Metric({label,value,detail,icon:Icon,tone='neutral'}:{label:string,value:string,detail:string,icon:IconType,tone?:Tone}){return

{label}

{value}

{detail}

} function Panel({title,eyebrow,children,action}:{title:string,eyebrow?:string,children:React.ReactNode,action?:React.ReactNode}){return

{eyebrow&&

{eyebrow}

}

{title}

{action}

{children}

} function Chart({data,keys,colors,max=100}:{data:any[],keys:string[],colors:string[],max?:number}){const points=(key:string)=>data.map((d,i)=>`${(i/(data.length-1))*100},${100-(d[key]/max)*88}`).join(' ');return

{data.map(d=>{d.m})}

} function Bars({data,keyName,color,max}:{data:any[],keyName:string,color:string,max:number}){return
{data.map(d=>{d.m})}
} function ActionDialog({title,body,onClose}:{title:string,body:string,onClose:()=>void}){return
Mineverse workspace
{title}
{body}
} function Mining(){const [mine,setMine]=useState('Mine A'),[period,setPeriod]=useState('June 2026'),[view,setView]=useState('Executive Overview'),[answer,setAnswer]=useState(''),[dialog,setDialog]=useState(null),[layers,setLayers]=useState({pit:true,benches:true,roads:true,blocks:true,equipment:true,dump:true}),[expanded,setExpanded]=useState(null);const variance=useMemo(()=>production.map(d=>({...d,v:d.a-d.t})),[]);const avg=(production.reduce((s,d)=>s+d.a/d.t,0)/production.length*100).toFixed(1);const ask=(q:string)=>setAnswer(q.includes('quality')?'Draft answer: June quality deteriorated to 24.1% ash and 9.5% moisture while calorific value fell to 3,900 kcal/kg. Cross-check laboratory, sampling and seam records.':q.includes('downtime')?'Draft answer: downtime rose from 7% in May to 21% in June, reducing availability to 79%. Review maintenance and shift records.':'Draft answer: Mine A missed June target by 17,000 tonnes. The strongest associated signals are downtime and coal quality; this is an AI-generated hypothesis, not confirmed causality.');return
Mining Intelligence / {mine} / {period} DEMONSTRATION DATA
Mining intelligence
Mining Intelligence
Production, equipment, planning and operational analysis.
MinePeriodView
{answer&&
{answer}3 evidence sources · Human validation required
}
TargetActual
86.4%Production achievement
121,000 tHighest · May
-17,000 tLargest shortfall · June
{avg}%Average achievement
AvailabilityDowntime
{[['EX-07','78%','22%','Critical · Hydraulic pressure anomaly'],['SH-12','84%','16%','Watch · Interval exceeded'],['CV-03','95%','5%','Normal · No significant anomaly']].map(r=>{r.map(c=>)})}
Equipment Availability Downtime Status / AI signal
{c}
24.1%Ash9.5%Moisture3,900kcal/kg CV
QUALITY SIGNAL · DETERIORATING
June shows elevated ash and moisture with reduced calorific value. Cross-check laboratory records, sampling records and geological seam information.
AI interpretation · Human validation required
{['pit','benches','roads','blocks','equipment','dump'].map((l,i)=>)}
{layers.pit&&}{layers.benches&&}{layers.roads&&}{layers.blocks&&{Array.from({length:12},(_,i)=>)}}{layers.equipment&&● ● ●}
4.8 km²Pit area
6Active benches
18.4 kmHaul roads
Mine Phase 3Current phase
AI DESIGN INSIGHT
Conceptual demonstration model — engineering validation required.
108,000 tActual production-17,000 tSchedule variance3Critical activities
{['Drilling','Blasting','Loading','Hauling','Crushing','Dispatch'].map((x,i)=>
{x}{['Completed','In Progress','Delayed','At Risk'][i%4]}
)}
AI PLANNING ALERT
June schedule deviation detected. Review equipment availability and production constraints.
{[['Production','125,000','108,000','-17,000','Critical'],['Availability','93%','79%','-14 pts','Watch'],['Downtime','7%','21%','+14 pts','Critical'],['Ash','18%','24.1%','+6.1 pts','Watch'],['CV','4,200','3,900','-300','Watch']].map(r=>{r.map(c=>)})}
Metric Planned Actual Variance Status
{c}
{['Review equipment downtime.','Verify shift-level production losses.','Investigate haulage bottlenecks.','Validate coal quality deviation.','Compare actual performance with mine plan.'].map(x=>
{x}AI-generated recommendation · Human engineering validation required
)}
HIGH PRIORITY}>
Summary: Mine A produced 108,000 tonnes against a 125,000-tonne target, resulting in a 17,000-tonne shortfall.
Primary signal: Equipment downtime increased from 7% to 21%.
Secondary signal: Coal quality deteriorated to 24.1% ash and 3,900 kcal/kg.
{[['08:30','Production anomaly detected'],['08:42','Downtime spike detected'],['09:05','Coal quality deterioration detected'],['09:15','AI investigation created'],['09:25','Evidence verification recommended']].map(x=>
{x[0]}{x[1]}
)}
Production shortfall
↓
Equipment downtime spike
↓
Reduced availability → Production loss
AI-generated hypothesis · Requires human validation · Not confirmed causality
{['Production Dataset · June Production Record · Verified','Equipment Dataset · June Downtime Record · Verified','Coal Quality Dataset · June Laboratory Record · Verified','Planning Dataset · June Planning Record · Verified'].map((x,i)=>)}
5 indexed sources · Source/page traceability enabled
{['Why did Mine A miss its June target?','What caused the downtime increase?','Which month had the worst production?','How did coal quality change?','What should management investigate first?'].map(q=>)}
Draft answer workspace
{answer||'Select a suggested question to generate a deterministic local response using the demonstration data.'}
Evidence sources · Human validation required
{dialog&&setDialog(null)}/>}
} function CommandCenter({go}:{go:()=>void}){return
Monday, 25 August 2026 · Shift handover
Welcome to Mineverse
AI-powered mining & geological intelligence for smarter decisions.
Prototype / Demonstration DataAI-generated outputs require human validation before operational use.
Mine A production is below target for June. Equipment downtime increased from 7% to 21% and coal quality deteriorated to 24.1% ash. Investigate maintenance, production and quality records before report approval.
} function Generic({id}:{id:string}){const label=navItems.find(x=>x[0]===id)?.[1]||'Workspace';return
Mineverse workbench
{label}
A focused workspace for traceable, human-reviewed intelligence.
{label} workspace
This prototype module is ready for the next intelligence workflow.
} export default function Page(){const [active,setActive]=useState('command'),[mobile,setMobile]=useState(false);return
MINEVERSEAI MINING & GEOLOGICAL INTELLIGENCE
{navItems.map(([id,label,Icon])=>)}
AS
Ananya SenIntelligence Lead
AS
{active==='command'?setActive('mining')}/>:active==='mining'?:}
Mineverse AI · Mining & Geological Intelligence Prototype · Human validation required
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MINEVERSEAI MINING & GEOLOGICAL INTELLIGENCE
AS
Ananya SenIntelligence Lead
AS
Monday, 25 August 2026 · Shift handover
Welcome to Mineverse
AI-powered mining & geological intelligence for smarter decisions.
Prototype / Demonstration DataAI-generated outputs require human validation before operational use.
Mine A production
108,000 t
-13.6% vs target
Active AI investigations
3
Human review required
Documents processed
1,284
+18.9% vs last month
Reports awaiting approval
7
Human approval required
AI executive brief
What needs attention
Mine A production is below target for June. Equipment downtime increased from 7% to 21% and coal quality deteriorated to 24.1% ash. Investigate maintenance, production and quality records before report approval.
Mineverse AI · Mining & Geological Intelligence Prototype · Human validation required
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