Smart Predictive Building Maintenance, Green Spaces and Associated Services Dynamic Purchasing System

Published

10 January 2025

Notice number

000767-2025

Reference

ocds-h6vhtk-04abd0

Official source

Official source

Description

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 …

Official publications

• FTS · 000767-2025 · 10 January 2025

Frequently asked questions

Who is the buyer of this tender?

The contracting authority is Countess of Chester Hospital NHS Foundation Trust (United Kingdom).

How can I bid for public tenders in the United Kingdom?

Bids are submitted through the official public procurement portal in the United Kingdom. El Vínculo helps you find tenders and analyse their documents; submission always happens at the official source.