Full Track: Meter It All

You chose complete control. Build your energy intelligence from scratch.

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What You'll Build

By the end of this track:

Component	Scope
Connections	Building, floor, line, and equipment meters
Surfaces	Complete hierarchy from campus to equipment
Warm queries	Comprehensive energy analytics library
Team	Role-based access for ops, sustainability, finance
AI integration	Full MCP connection

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Phase 1: Design Metering Architecture

Step 1.1: Map Your Hierarchy

Before creating connections, map what you'll monitor:

Campus / Facility
├── Building 1
│   ├── Floor 1
│   │   ├── Production Line A
│   │   └── Production Line B
│   └── Floor 2
│       ├── Office Space
│       └── Data Center
├── Building 2
└── Utilities
    ├── Chiller Plant
    └── Compressed Air

Step 1.2: Identify Metering Points

Level	Meters	Data
Campus	Main utility meter	Total consumption, demand
Building	Building submeters	Electrical, gas, water
Floor	Distribution panels	Circuit-level consumption
Equipment	Individual meters	Machine-specific usage

Step 1.3: Create Connections

Ask Azi:

Azi proposes all connections. Review and approve each.

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Phase 2: Create Surface Hierarchy

Step 2.1: Campus-Level Surface

Ask Azi:

"Create a surface for campus-wide energy monitoring that aggregates all building data."

Azi proposes:

• Surface name: Campus-Energy
• Nodes: Building1Total, Building2Total, UtilitiesTotal
• Description: Facility-wide energy aggregation

Step 2.2: Building Surfaces

Create a surface for each building:

Surface	Nodes	Purpose
Building-1-Energy	Floor1, Floor2, HVAC, Lighting	Building breakdown
Building-2-Energy	Production, Office, Support	Building breakdown
Utilities-Energy	Chiller, CompressedAir, Steam	Central utilities

Step 2.3: Production Surfaces

Granular tracking for manufacturing:

Surface	Nodes	Purpose
Line-A-Energy	Motors, Conveyors, HVAC	Line-level allocation
Line-B-Energy	Motors, Conveyors, HVAC	Line-level allocation

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Phase 3: Build Comprehensive Query Library

Standard Queries

Build these essential queries with Azi:

Query	Purpose	Frequency
daily-consumption	Daily kWh by building	Daily
monthly-cost	Monthly cost by area	Monthly
peak-demand	Peak demand analysis	On-demand
baseline-comparison	Current vs baseline	Monthly
sustainability-scope2	Scope 2 emissions calc	Quarterly

Step 3.1: Daily Consumption Query

Ask Azi:

"Create a warm query that shows daily electricity consumption broken down by building."

Azi proposes:

EnergyData
| where MeterType == "Electric"
| where Timestamp > ago(30d)
| summarize DailyKWh = sum(kWh) by bin(Timestamp, 1d), Building
| pivot Building, sum(DailyKWh)
| order by Timestamp asc

Step 3.2: Cost Allocation Query

Ask Azi:

"Build a query that allocates energy costs to each production line based on their consumption percentage."

let TotalConsumption = EnergyData
| where Timestamp > ago(1M)
| summarize Total = sum(kWh);
EnergyData
| where Timestamp > ago(1M)
| summarize LineConsumption = sum(kWh) by ProductionLine
| extend Percentage = LineConsumption / toscalar(TotalConsumption) * 100
| extend AllocatedCost = Percentage / 100 * 50000 // Monthly energy budget
| order by AllocatedCost desc

Step 3.3: Sustainability Reporting Query

Ask Azi:

"Create a query for Scope 2 emissions calculation using grid emission factors."

EnergyData
| where MeterType == "Electric"
| where Timestamp > ago(1y)
| summarize TotalKWh = sum(kWh) by bin(Timestamp, 1M)
| extend EmissionFactor = 0.42 // kg CO2 per kWh - update for your grid
| extend Scope2Emissions = TotalKWh * EmissionFactor / 1000 // tonnes
| order by Timestamp asc

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Phase 4: Establish Team Permissions

Step 4.1: Define Roles

Role	Access	Users
Admin	Everything	IT, Engineering
Sustainability	All queries, edit for emissions	Sustainability team
Finance	Cost queries, view-only	Finance team
Operations	Building surfaces, read	Facility managers

Step 4.2: Invite Team Members

Ask Azi:

"Invite sustainability-lead@company.com as Editor for the sustainability queries."

Step 4.3: Set Surface Permissions

Restrict sensitive cost data:

1. Open Cost-Allocation surface
2. Click Permissions
3. Limit to Finance and Admin roles

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Phase 5: Connect External AI Tools

Step 5.1: Generate MCP Configuration

1. Open the APIs menu in the top bar
2. Select API Keys to generate a JWT token
3. Copy your workspace ID from the workspace settings
4. Use the configuration below with your credentials

Step 5.2: Configure Claude Desktop

{
  "mcpServers": {
    "energy-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "@openindustrial/mcp-server",
        "--workspace", "YOUR_WORKSPACE_ID",
        "--token", "YOUR_TOKEN"
      ]
    }
  }
}

Step 5.3: AI-Powered Analysis

Ask Claude:

"What areas have the highest energy intensity and what's driving it?"

Claude queries your governed data, correlates consumption with production metrics, and provides insights—all auditable.

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What You Built

Component	Count
Connections	5+
Surfaces	6+
Warm queries	5+
Team roles	Configured
MCP integrations	1+

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Category Metrics

Metric	Your Result
Time to First Governed Query	~1 hour
Query library	5+ queries
Surface hierarchy	3 levels
Audit coverage	100%
AI connected	MCP-native

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What Governed Energy Intelligence Looks Like

Before Control Plane	After Control Plane
Spreadsheet emissions reports	Governed, auditable queries
"Trust me" allocations	Traceable cost calculations
AI recommendations without data	AI insights with full lineage
Scattered meter data	Unified, governed view

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Next Steps

If you want to...	Go to...
Try the Hybrid track	Hybrid Track →
See query patterns	Patterns →
Learn more about MCP	MCP Guide →
Explore manufacturing	Manufacturing Journey →