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Smart Predictive Building Maintenance, Green Spaces and Associated Services Dynamic Purchasing System
Descriptions
This DPS will provide the public sector with a means to leverage Internet of Things (IoT) sensors, data analytics, and machine learning to monitor the health and conditions of buildings, as well as significantly enhance the management and experience of green spaces. By collecting and analysing data on performance, environmental conditions, and usage patterns, solutions will predict potential failures and schedule maintenance proactively. Suppliers appointed to this DPS will harness and deliver Smart Predictive Building Maintenance, Green Spaces and Associated Services solutions. Solutions may include a range of sensors from a range of protocols to collect data on, but are not limited to: • Air quality • Presence • Noise • Light • Moisture • Water temperature and flow • Fill Level (Capacity) • Load • Corrosion • Gas and Electricity Consumption Data collected from IoT sensors across buildings and green spaces provides valuable insights that can inform long-term strategic planning. Public Sector Organisations can use this data to forecast future maintenance needs, budget more effectively, and plan sustainable development projects that align with environmental targets. The DPS will be in two Lots: Lot 1 – Smart predictive building maintenance solutions and associated services Lot 2 – Smart green space solutions and associated services Applications may be made to one or more Lots.
Timeline
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Tender Regions
North West
Ireland
South West
North East
East of England
Yorkshire and The Humber
South East
East Midlands
West Midlands
Wales
Scotland
Northern Ireland
UK
London
CPV Codes
35125100 - Sensors
Keywords
sensors
detection sensors
motion sensors
temperature sensors
proximity sensors
security sensors
environmental sensors
intrusion sensors
sensor devices
detector sensors
Tender Lot Details
2 Tender Lots
Workflows
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Possible Competitors
1 Possible Competitors
