Integrated Space Utilization and Optimization Technology Solution

The Vendor is required to provide for an advanced, enterprise-scale intelligent space and energy management solution for university campuses.
- This platform is expected to go beyond traditional occupancy monitoring by incorporating multi-sensor data fusion, AI-powered predictive modeling, and automated decision support capabilities for strategic campus planning and building system optimization.
- solution must deliver a phased implementation model that supports both immediate real-time monitoring needs and long-term strategic planning for optimized space utilization and energy management.
- Foundational Real-Time Utilization Intelligence
• Occupancy detection: support for hybrid sensor arrays (thermal, motion, acoustic, BLE Bluetooth low energy, Wi-Fi triangulation) with room-, floor-, and building-level granularity.
• Dynamic utilization metrics: track utilization percentages against theoretical capacity with time-series granularity (hourly/daily/weekly).
• Dwell time and behavior mapping: identify user engagement patterns by space to inform space reconfiguration or repurposing.
• Traffic flow analysis: visualize crowd dynamics and flow bottlenecks using multi-zone telemetry, aiding in layout adjustments and signage optimization.
• Heat mapping engine: generate real-time and historical heat maps based on movement, density, and occupancy patterns.
• Peak load identification: capture max concurrent occupancy to inform load balancing and scheduling strategies.
• Recoverable space identification: use machine learning to detect consistently underutilized square footage for future capital reinvestment or reallocation.
• Custom dashboards: provide role-specific dashboards using modular widgets with KPIS and spatial insights (i.e. real time energy consumption modeling, predictive HVAC load forecasting, water usage optimization, high-resolution IAQ monitoring, predictive IAQ modeling, ventilation and filtration strategy support, etc.) 
- Environmental intelligence, forecasting, and capital planning
• HVAC and energy analytics: correlate occupancy data with HVAC control systems via BACnet and enteli vault to optimize energy consumption and environmental comfort.
• Emergency response mapping: enable real-time occupancy visualization by zone for live evacuation guidance and post-event forensics.
• Predictive maintenance: use space usage intensity to forecast infrastructure stress and prioritize deferred maintenance tasks.
• Operational optimization: generate staffing models for services (e.g., libraries, cafés) based on temporal usage data.
• Geospatial cad integration: overlay occupancy data with cad drawings and Wi-Fi layouts to enable zoning logic, move planning, and build expansion modeling.
• Investment ROI modeling: generate dashboards and reports showing cost per square foot, cost avoidance, and ROI from space transformations, while also supporting energy savings and weatherized GHG emissions projections.
• This holistic approach enables decision-makers to evaluate both financial and environmental returns on investment, aligning capital planning with sustainability goals
- Integration requirements
• The system must provide native or API-based integration with existing agency infrastructure and tools. 
• Priority will be given to a turnkey solution with minimal need for API development:
• Wi-Fi location systems: seamless integration with cisco spaces, MERAKI, and cisco dnac to collect anonymized user location data using Wi-Fi access points.
• Building automation systems: interoperate with enteliVAULT/enteliWEBand ORCAview via BACnet/IP for bidirectional data exchange on occupancy, alarms, and energy controls capable to support virtual metering and sub metering integration.
• Scheduling systems: two-way integration with existing room booking and academic scheduling platforms (e.g.).
• Open APIS & real-time data streams: expose secure, standards-compliant restful APIS (OpenAPI 3.0) and support WebSockets, MQTT, or KAFKA for real-time data publishing.
- System architecture and compliance
• Deployment architecture: the system must support hybrid or full-cloud deployment with microservicesbased containerization (e.g., azure).
• Scalability: must accommodate multiple buildings and campuses with distributed sensor clusters, edgeprocessing capabilities, and dynamic workload balancing.
• Data residency: all data must be stored and processed in compliance with FIPPA and other state data privacy laws; state data centers are preferred.
• Security standards: aes-256 encryption (at rest), TLS 1.3 (in transit), role-based access control (RBAC),
SAML/SSO integration, and immutable audit logs are required, MFA enforcement. 
• Agency preference is to have secure servers located in state.
• Standards compliance: SOC (service organization controls) 2 type ii, ISO/IEC 27001 certification is highly desirable.
- Contract Period/Term: 3 years
- Questions/Inquires Deadline: July 11, 2025