Data Integration. Proposed platform must: 3.1.1. Be capable of reading, analyzing and reporting on utility invoice data. 3.1.2. Have the capability to integrate utility meter data from existing owner systems such as University’s utility data warehouse (SQL Server), Schneider PME, and central plant meters via Factory Talk. 3.1.3. Be capable of collecting data at 15 min intervals or less. 3.1.4. Be capable of making data available for analysis in real or near-real time through a continuous and automated data acquisition process. 3.1.5. Have the ability to consolidate meter readings to create virtual meters. 3.1.6. Have the ability to upload and store a minimum history of 5 years of energy use data. 3.1.7. Have the ability to store at least 5 years of trend data at 15-minute intervals for analysis, reporting, and visualization. 3.1.8. Proposer must describe what steps it takes to ensure that the data integration process does not impact the speed of existing systems. 3.2. Data Validation. The successful Proposer would be expected to: 3.2.1. Work with University staff to ensure that all data brought into the system is as accurate as possible and assist is identifying inaccurate data. 3.2.2. Validate the data connection between the platform and existing systems. 3.2.3. Address insufficient/inaccurate data collection intervals, false negative and false positive diagnostics, dropped communications, and erroneous tagging.
