Simulation Mode
U
User
Facility Operations Lead
Welcome back
Here is what the autonomous agent fleet has done for your building today.
Wednesday, July 8, 2026
Energy Usage (Daily)
42,850 kWh
4.2% vs last week
Utility Cost (M-T-D)
₹5,142.00
3.8% vs last week
Carbon Footprint
18.2 Tons CO₂
5.1% vs last week
Active Alerts
3 Active
1 Critical, 2 Warnings
Agent Console
Live
CPU: 12%
RAM: 1.4 GB
[18:49:50]
EnergyAgent:
Agent framework loaded. Spawning cognitive analysis loops...
[18:49:52]
EnergyAgent:
Link established with BACnet router [Gateway-09]. Scanning HVAC controllers...
[18:49:55]
EnergyAgent:
Scan complete: 28 air handling units (AHUs) responsive. 3 chiller loops syncing.
AI Actions Recommended
2 Available
Set back Zone B temperature by 1.5°F during low occupancy.
Est. Savings: 140 kWh/d
•
HVAC Policy
Optimize chiller staging logic for ambient wet-bulb forecast.
Est. Savings: 220 kWh/d
•
Chiller Loops
Zone Health Overview
Updated 2m ago
Zone A (East Wing)
Offices & Finance
71.8°F
Healthy
Zone B (West Wing)
R&D Labs & Sales
74.2°F
Optimizing
Zone C (Data Center)
Main Server Racks
68.5°F
Attention
Recent Alerts
3 Active
Data Center CRAC unit secondary backup fan offline. High vibration detected.
12 mins ago • Zone C Cooling
Standby power usage in West Wing exceeded standard baselines for 2 consecutive hours.
45 mins ago • Standby Load
Energy Agent triggered regular chiller optimization cycle. Baseline calibrated.
2 hours ago • System Audit
Agent Fleet Configuration
Active
Energy Agent
Balances HVAC setbacks, chiller loading sequencing, and lighting grids to reduce demand charges.
Allocated CPU: 4 cores
Open →
Maintenance Agent
Analyzes compressor vibration anomalies, predicts filter failures, and coordinates maintenance ticketing.
14 HVAC nodes synced
Open →
Occupancy Agent
Monitors desk density, counts cafeteria occupancy via thermal sensors, and structures ventilation rates.
32 sensors mapped
Open →
Active
Security Agent
Identifies open access doors, scans thermal boundaries, and alerts guards to unexpected entries during off-hours.
12 feeds active
Open →
AI Optimization Impact & ROI
Simulated operational and sustainability gains realized through autonomous agent interventions.
1,284 kWh
Energy Saved
₹15,408
Cost Avoided
512 kg
CO₂ Abated
7
Faults Preempted
32
Autonomous Actions
Operational Efficiency: Baseline vs. AI-Optimized
Model SimulationStandard Baseline (Unmanaged)
Peak HVAC Demand
1,020 kW
Average MTBF (Days)
42 Days
Space Utilization
52.3%
Monthly Energy Cost
₹6,280
→
+21.4% Net ROI
AI-Optimized FacilityOps
Peak HVAC Demand
834 kW (-18.2%)
Average MTBF (Days)
55 Days (+31%)
Space Utilization
68.4% (+16.1%)
Monthly Energy Cost
₹5,142 (-18.1%)
Energy Agent
● ActiveAutonomous energy optimization — HVAC, chillers, lighting, and demand management.
Monthly Performance
Active Period
Energy Savings
12.4%
↓ vs. baseline target
Cost Savings
₹1,842
vs. ₹2,200 target
Forecast Accuracy
94.7%
+1.2% vs last month
Peak Demand Avoided
186 kW
Today's reduction
Cognitive Reasoning Engine
Autonomous Optimization Workflow
● Optimization Cycle Complete
01
Observe
42 kW sub-meter & sensor streams
02
Analyze
Peak load pattern & tariff curve
03
Decide
Optimal chiller setpoint shift
04
Act
Auto-adjust staging sequence
05
Verify
Confirm -186 kW peak reduction
Current Condition Detected
Facility baseline consumption at 42.8k kWh/mo. Chiller #2 staging efficiency optimal at 94.2% COP.
Active AI Recommendation
Dynamic setpoint adjustment for Zone A during 2:00 PM–5:00 PM peak tariff window.
Estimated Impact & Confidence
↓ 95 kWh/day energy saved
↓ ₹12.40/day utility cost
↓ 38 kg/day CO₂ reduction
Confidence: 96%
30-Day Energy Trend
kWh / dayConnected Assets
All Online
28
HVAC Systems
64
Lighting Zones
3
Chiller Loops
12
Smart Meters
Top Recommendations
3 Available
Optimize HVAC Runtime in Zone A by 18%
Save: 95 kWh/d•HVAC
Dim underused lighting zones in Level 3 North
Save: 42 kWh/d•Lighting
Adjust Chiller #2 setpoints to 44°F for wet-bulb conditions
Save: 78 kWh/d•Chiller
Schedules
On trackDaily Chiller Pre-cool
04:00 AM - 06:00 AM
04:00 AM - 06:00 AM
Lighting Setback
08:00 PM - 05:00 AM
08:00 PM - 05:00 AM
Key Insights
AI GeneratedPeak demand reduced by 22% this month
Load shifting during 2–5 PM window saved ₹340
Load shifting during 2–5 PM window saved ₹340
Chiller efficiency at 94.2% COP this week
Above industry standard of 88% — optimal performance
Above industry standard of 88% — optimal performance
Zone B HVAC runtime spike on Tuesday
Outdoor temp 91°F caused 18% above normal load
Outdoor temp 91°F caused 18% above normal load
Lighting automation saved 12 kWh daily avg.
Occupancy-based dimming active in 42 zones
Occupancy-based dimming active in 42 zones
Energy Agent Console
Active
[Boot]
EnergyAgent:
Monitoring 28 HVAC, 64 lighting zones, 3 chiller loops, 12 smart meters.
Maintenance Agent
● RunningPredictive maintenance — anomaly detection, failure prediction, and automated work order management.
Last Updated
2 minutes ago
Agent Status
● Running
Agent Running
Last Updated: 2 mins ago
MTBF Improvement
+31%
vs. 6-month baseline
Work Orders Closed
47
This month
Downtime Reduced
18.5%
Hours saved: 42h MTD
Cognitive Reasoning Engine
Predictive Diagnostic & Dispatch Workflow
● Anomaly Monitored
01
Observe
Vibration & ΔP telemetry
02
Analyze
FDD ML wear pattern match
03
Decide
Schedule preventive repair
04
Act
Dispatch WO & spare parts
05
Verify
Confirm vibration normalized
Current Asset Diagnostic
AHU-14 (Zone B): Filter ΔP at 1.8x baseline. Airflow down 22%. Filter overdue by 3 days.
Active AI Recommendation
Dispatch Work Order WO-2847 for immediate filter replacement. Assign to Tech Team Alpha.
Avoided Cost & Health Impact
↓ Prevents compressor motor burnout
↓ ₹84,000 estimated catastrophic repair avoided
↑ Restores full CFM ventilation to Zone B
Confidence: 94%
Maintenance Performance (30 Days)
Work OrdersWork Orders
Completed
Recent Work Orders
5 Open
#WO-2847
AHU-14 Filter Replacement
Zone B • Assigned: Tech Team Alpha
In Progress
#WO-2841
Pump P-07 Bearing Inspection
Mechanical Room 2 • Assigned: Tech Team Beta
Urgent
#WO-2839
Chiller #1 Vibration Check
Basement Plant • Assigned: Senior Tech
Scheduled
#WO-2835
Cooling Tower Fan Belt Replacement
Rooftop Unit 3 • Assigned: Tech Team Alpha
Completed
#WO-2831
BMS Sensor Calibration — Zone C
Data Center • Assigned: Controls Engineer
Completed
Top Failure Predictions
3 Critical
AHU-14 Filter Replacement — overdue 3 days
Risk: High•AHU • Zone B
Pump P-07 bearing wear anomaly detected
Risk: Critical•Vibration Alert
Chiller #3 elevated vibration — failure window 5–7 days
Risk: Critical•Chiller Plant
Maintenance Schedules
2 UpcomingGenerator Test
Tomorrow, 09:00 AM
Tomorrow, 09:00 AM
HVAC Filter Replacement
Friday, 02:00 PM
Friday, 02:00 PM
Asset Health Summary
Simulated scan
Healthy Assets
68 / 86
Needs Attention
13 / 86
Critical / Offline
5 / 86
Critical Assets
Chiller #3 — Compressor
High vibration signature detected. Risk: bearing seizure within 5d.
Pump P-07 — Main Loop
Bearing wear index 87%. Replacement recommended immediately.
AHU-14 — Zone B
Filter ΔP exceeded limit. Airflow reduced 22%. Replace within 3d.
Key Insights
AI GeneratedPredictive maintenance prevented 9 failures
Estimated avoided cost: ₹84,000 this quarter
Estimated avoided cost: ₹84,000 this quarter
Spare parts inventory optimized by 34%
AI pre-ordered 12 items before stock-out event
AI pre-ordered 12 items before stock-out event
Response time reduced from 4.2h → 1.8h
Auto-dispatch routing improved MTTR by 57%
Auto-dispatch routing improved MTTR by 57%
Maintenance Agent Console
Running
[Boot]
MaintenanceAgent:
Agent initialized. Scanning 86 assets across facility nodes...
Occupancy Agent
● RunningSpace utilization intelligence — sensor-driven occupancy, layout optimization, and forecast analytics.
Last Updated
Just now
Agent Status
● Running
Running
Last Updated: Just now
Space Utilization
68.4%
+3.2% vs last week
Space Optimization
82.1%
+5.6% improvement
Forecast Accuracy
91.3%
vs. 88% target
Cognitive Reasoning Engine
Space Utilization & Ventilation Workflow
● Optimization Cycle Complete
01
Observe
32 PIR / thermal desk sensors
02
Analyze
Desk clustering & meeting usage
03
Decide
Reallocate 4 meeting rooms
04
Act
Demand-controlled ventilation
05
Verify
Utilization lifted to 68.4%
Current Space Telemetry
Average utilization at 68.4% (+3.2% vs baseline). Meeting rooms underutilized at 38% capacity.
Active AI Recommendation
Reallocate 4 meeting rooms to hot-desk collaboration pods. Adjust Level 3 ventilation staging.
Capacity & Cost Gains
↑ +14% effective desk capacity
↓ ₹2,400/month lighting & HVAC savings
↑ 91.3% forecast accuracy maintained
Confidence: 91%
Space Utilization Trend (30 Days)
% UtilizedZone Utilization
Live — updated every 5 min
Main Office
78% (156/200)
Conference Rooms
45% (18/40)
Open Workspace
62% (62/100)
Meeting Rooms
38% (19/50)
Break Area
29% (7/25)
Occupancy Analytics
MTD Stats
Peak Hours
10 AM–2 PM
Busiest Day
Tuesday
Avg. Daily Users
317
No-show Rate
18.4%
Live Alerts (Simulated)
NormalCafeteria Capacity Normal
Currently at 45%
Currently at 45%
Air Quality Optimal
CO2 levels below 600ppm
CO2 levels below 600ppm
Space Recommendations
3 Available
Reallocate 4 meeting rooms to hot-desk pods
+14% capacity•Space Mgmt
Adjust desk allocation — reduce Level 3 by 20%
Save: ₹2,400/mo•Desk Mgmt
Open workspace layout optimization — East cluster
+22% density•Layout
Key Insights
AI GeneratedAverage utilization: 68.4% (up 3.2%)
Consistent improvement over 4-week trend
Consistent improvement over 4-week trend
6 underutilized areas identified
Meeting rooms <40% utilized 3 weeks running
Meeting rooms <40% utilized 3 weeks running
Layout optimizations: 3 opportunities found
Potential to increase effective capacity by 18%
Potential to increase effective capacity by 18%
Occupancy Agent Console
Running
[Boot]
OccupancyAgent:
Agent initialized. Polling 32 occupancy sensors across 5 zones...
Facility Overview
High-level summary of facility performance and active agent operations.
Facility Health
98.2%
All systems optimal
Total Energy (Today)
12.4 MWh
-4.2% vs baseline
Active Work Orders
14
3 High Priority
Occupancy Level
68%
Peak expected at 2 PM
System Performance Index
Recent Agent Actions
LiveEnergy Agent
Adjusted Chiller #2 setpoint to 44°F to optimize load.
Adjusted Chiller #2 setpoint to 44°F to optimize load.
Maintenance Agent
Dispatched WO-2847 for AHU-14 filter replacement.
Dispatched WO-2847 for AHU-14 filter replacement.
Occupancy Agent
Dimmed lighting in Zone C due to low occupancy.
Dimmed lighting in Zone C due to low occupancy.
Security Agent
Verified all exterior access points secure at 18:00.
Verified all exterior access points secure at 18:00.
AI Agents Fleet
Manage, configure, and monitor your autonomous cognitive agents.
Active
Energy Agent
Balances HVAC setbacks, chiller loading sequencing, and lighting grids to reduce demand charges.
Uptime: 99.9%Manage →
Active
Maintenance Agent
Analyzes compressor vibration anomalies, predicts failures, and coordinates maintenance ticketing.
Uptime: 99.8%Manage →
Active
Occupancy Agent
Monitors desk density, counts cafeteria occupancy, and structures ventilation rates dynamically.
Uptime: 100%Manage →
Active
Security Agent
Identifies open access doors, scans thermal boundaries, and alerts guards to unexpected entries.
Uptime: 100%Manage →
Coming Soon
Cleaning Agent
Planned agent for orchestrating robotic janitorial fleets and traffic-based restroom cleaning schedules. Not yet active in this build.
Status: Planned / Pending SetupNot Yet Active
Platform Modules
Extend your facility operations with specialized modules.
HVAC Management
InstalledDetailed controls and overrides for AHUs, VAVs, and Chiller loops.
Access Control
InstalledManage badges, visitor logs, and secure zone permissions.
Inventory & Supply
Update AvailTrack spare parts, filters, and cleaning supplies in real-time.
Smart Parking
Not InstalledLicense plate recognition and EV charging station management.
Work Orders
Track and manage predictive and reactive maintenance tasks.
| ID | Asset / Task | Priority | Status | Assignee | Created | Action |
|---|---|---|---|---|---|---|
| WO-2847 | AHU-14 Filter Replacement | High | In Progress | Tech Team Alpha | Today, 14:30 | |
| WO-2841 | Pump P-07 Bearing Inspection | Critical | Open | Tech Team Beta | Today, 10:15 | |
| WO-2839 | Chiller #1 Vibration Check | High | Scheduled | Senior Tech | Yesterday | |
| WO-2835 | Cooling Tower Fan Belt | Medium | Completed | Tech Team Alpha | Jul 28 | |
| WO-2831 | BMS Sensor Calibration - Zone C | Low | Completed | Controls Eng. | Jul 27 |
Showing 1 to 5 of 124 entries
Asset Management
Complete inventory of all building systems, equipment, and sensors.
Total Assets
1,250
Healthy
1,050
Needs Attention
120
Critical / Offline
80
Asset Registry
| Asset Name | Category | Location | Status | Health Score | Action |
|---|---|---|---|---|---|
| Chiller #1 | HVAC | Basement Plant | Online | 92 |
|
| Chiller #3 | HVAC | Basement Plant | Warning | 45 |
|
| Pump P-07 | Plumbing | Mechanical Room 2 | Critical | 12 |
|
| AHU-14 | HVAC | Zone B (West Wing) | Warning | 58 |
|
| Elevator A | Transport | Main Lobby | Online | 98 |
Live Monitoring
Simulated telemetry and environmental data streams — demo data for presentation purposes.
Average Temp
72.4°F
Optimal
Air Quality (AQI)
42
Good
Current Demand
845 kW
Dropping
Water Flow
12.5 GPM
Steady
Demonstration Scenario
End-to-End Workflow: HVAC Equipment Anomaly (AHU-14)
Step through the complete lifecycle from sensor telemetry detection to agent recommendation, work order dispatch, and ROI impact verification.
1. Monitoring — Telemetry Anomaly Detected
Live Alert
BMS Gateway • Sensor #VIB-AHU14 • Zone B West Wing
Vibration sensor on AHU-14 bearing registers 7.8 mm/s (ISO 10816 limit: 3.5 mm/s). Motor surface temperature elevated to 29°C.
2. Maintenance Agent — FDD Analysis & Prediction
AI Diagnostic
Autonomous Agent Fleet • MaintenanceAgent Model v2.4
Predictive wear model estimates Remaining Useful Life (RUL) at 18 days. Failure probability: 94% without intervention.
3. Agent Decision — Recommendation Formulated
Prescriptive Plan
Reasoning Engine • Decision ID #DEC-AHU14-09
Agent prescribes: Schedule immediate bearing grease inspection and seal replacement. Assign Work Order to Tech Team Alpha. Pre-order replacement bearing assembly #B-2240 from local stock.
4. Work Order Generated — WO-2848
Pending Dispatch
Work Order Management • Priority: High • Location: Zone B
Auto-generated Work Order #WO-2848 containing diagnostic telemetry, safety procedures, and required spare parts list.
5. Dispatch Executed — Team Alpha En Route
In Progress
Field Operations • Mobile Sync Active • SLA: 2 Hours
Work Order dispatched. Technician acknowledged on mobile terminal. Related critical alert status updated to In Progress.
6. Verify & Impact Realized
✓ Complete
Operations Closed • Estimated Cost Avoided: ₹84,000
Preventive repair completed before catastrophic bearing seizure. Operational downtime avoided: 36 hours. Dashboard impact metrics incremented.
Live Environmental Data (Simulated)
Temperature
Humidity
Zone Sensors
Zone A (East Wing)
Temp: 71.8°F | CO2: 420ppm
Zone B (West Wing)
Temp: 74.2°F | CO2: 580ppm
Zone C (Data Center)
Temp: 68.5°F | Humidity: 45%
Analytics & Insights
Deep dive into facility data, historical performance trends, and AI-generated analytical observations.
Reporting Period
YTD 2026
Energy Cost
18.5%
Below baseline, YTD
Efficiency Score
94%
+8% year-to-date
Carbon Reduction
80.6%
142 / 176 tons target
YTD Savings
₹42,850
Cumulative, 7 months
Energy Cost vs Baseline
Monthly comparison, Jan–Jul YTDYTD Savings
₹42,850
₹50k
₹40k
₹30k
₹20k
₹10k
₹0
Jan Baseline: ₹30k
Jan Actual: ₹25k (Saved ₹5k)
Feb Baseline: ₹35k
Feb Actual: ₹27.5k (Saved ₹7.5k)
Mar Baseline: ₹40k
Mar Actual: ₹32.5k (Saved ₹7.5k)
Apr Baseline: ₹45k
Apr Actual: ₹35k (Saved ₹10k)
May Baseline: ₹43k
May Actual: ₹34k (Saved ₹9k)
Jun Baseline: ₹38k
Jun Actual: ₹29k (Saved ₹9k)
Jul Baseline: ₹36k
Jul Actual: ₹28k (Saved ₹8k)
Jan
Feb
Mar
Apr
May
Jun
Jul
Baseline Cost
Actual Cost (AI Optimized)
Efficiency & Carbon Analysis
Trend Matrix
Facility Operational Efficiency
94% (+8% YTD)
Carbon Emissions Reduction Target
142 / 176 Tons (80.6%)
Monthly Efficiency Score Progression
86Jan
88Feb
89Mar
91Apr
92May
94Jun
94Jul
AI Analytical Insights
Analytical Observations
Energy Performance
18.5% below baseline
Optimized load shifting during peak tariff hours delivered sustained cost containment across all nodes, Q1–Q2.
Efficiency Trend
86 → 94
Automated setpoint adjustments in high-occupancy zones prevented thermal inertia losses during peak demand.
Carbon Trend
142 / 176 tons abated
Current reduction trajectory projects meeting annual sustainability targets 45 days ahead of schedule.
Compliance & Reports
Generate, schedule, and download automated facility reports.
Scheduled Reports
Monthly Energy Summary
Runs 1st of every month
Weekly Maintenance Log
Runs every Sunday
Quarterly Carbon Audit
Runs end of quarter
Recent Downloads
| Report Name | Format | Generated Date | Size | Action |
|---|---|---|---|---|
| June 2026 Energy Summary | Jul 1, 2026 | 2.4 MB | ||
| Q2 Carbon Footprint Audit | Jul 1, 2026 | 4.1 MB | ||
| Raw Sensor Data - Last 7 Days | CSV | Today | 18.5 MB |
System Alerts
Centralized view of all facility warnings, faults, and AI notifications.
Data Center CRAC unit secondary backup fan offline. High vibration detected.
Today, 18:30 • Zone C Cooling • Assigned to: Maintenance Agent
Pump P-07 bearing wear anomaly detected (Critical Risk).
Today, 10:15 • Mechanical Room 2 • Work Order WO-2841 Created
Standby power usage in West Wing exceeded standard baselines.
Today, 09:45 • Standby Load • Investigated by: Energy Agent
AHU-14 Filter ΔP exceeded limit. Airflow reduced 22%.
Yesterday, 14:20 • Zone B • Work Order WO-2847 Created
Energy Agent triggered regular chiller optimization cycle.
Yesterday, 11:00 • System Audit
Occupancy in Cafeteria normalized to 45%.
Yesterday, 14:00 • Occupancy Agent
Security Agent
● RunningAutonomous surveillance, access control management, and anomaly detection.
Active Threats
0
Threat Detection Accuracy
99.8%
Cameras Online
124 / 125
Access Points Secured
48 / 48
Live Video Feeds (Simulated)
CAM-01 (Main Lobby)
CAM-08 (East Parking)
Recent Security Events
Tailgating Attempt
South Entrance • Blocked • 14:20
South Entrance • Blocked • 14:20
Patrol Completed
Perimeter checks nominal • 12:00
Perimeter checks nominal • 12:00
Door Left Open (Resolved)
Server Room B • Auto-closed • 09:15
Server Room B • Auto-closed • 09:15
Schedules
Configure automated facility operation routines and agent tasks (Simulated Automation).
Scheduled Agent Routines
4 Active Routines| Routine Name | Assigned Agent | Frequency | Scheduled Time | Status | Actions |
|---|---|---|---|---|---|
|
HVAC Energy Optimization
Pre-cool chiller setpoint adjustment for peak tariff hours
|
Energy Agent | Every Weekday | 08:00 AM | Enabled |
|
|
Preventive Maintenance Review
Automated diagnostic scan on AHU and pump vibration metrics
|
Maintenance Agent | Every Monday | 09:30 AM | Enabled |
|
|
Occupancy Optimization
Reallocate conference and meeting room thermal setpoints
|
Occupancy Agent | Every Weekday | 10:00 AM | Enabled |
|
|
Security Check & Perimeter Audit
Automated access lock verification and camera health check
|
Security Agent | Daily | 06:00 PM | Enabled |
|
Integrations & Connectors
Manage simulated Building Management System (BMS) and IoT gateway connectors.
Active Connectors
4
BMS Protocols
BACnet, Modbus, MQTT
Telemetry Latency
12ms (Simulated)
Connector Status
100% Operational
Connected Systems (Simulated)
BACnet/IP Gateway
HVAC & Chiller Plant Protocol
Modbus RTU Master
Sub-metering & Power Analytics
MQTT IoT Broker
Occupancy & Environmental Sensors
CCTV RTSP Stream Bridge
Security Surveillance Feed
Settings
Platform preferences, notifications, and simulation environment controls.
General Facility Settings
ConfigurationNotification Preferences
AutomatedCritical Fault & Anomaly Alerts
Receive immediate notifications when equipment anomalies are detected
AI Agent Recommendations
Notify when energy or space optimization actions are available
Automated Work Order Dispatches
Notify on new work order generation and status updates
AI Agent Preferences
Supervised AIAutonomous Recommendation Engine
Allow agents to proactively propose optimization recommendations
Recommendation Confidence Threshold
Minimum confidence score required before alerting operator
Operator Approval Requirement
Require manual confirmation before applying setpoint changes
Simulation Environment
Demo Mode
This project uses simulated facility data. No real sensors or production systems are connected. Use scenario triggers below to demonstrate agent capabilities.
Simulation Mode
Enabled
Simulated Data Stream
Active (Every 5 min)
AI Insights Generator
Active
Data Simulation Mode
Trigger Simulation Scenarios
Demo Account & Session
Active
Signed in as
User
Session Type
Demonstration Session