Discover an expert view and experience on building operations optimisation, AI anomaly detection, energy efficiency and cost savings.
Most buildings were constructed long before the BIM era, and their architectural and engineering documentation exists only in PDF, DWG or paper form. Creating a 3D model retrospectively is not always economically viable. However, it is exactly these buildings that need to improve energy efficiency and data transparency in order to meet the requirements of GEG, BEHG, CSRD and ESG.
In five years, a building's value will be determined not only by its location and rental income but also by the quality of its technical operation data. Those already implementing "live" digital twins today gain a dual advantage: operational savings in the short term and increased value in the long term.
In a few years, the value of a building will be determined not only by its location and rental income, but also by the quality of data on its operation. In the traditional model, information is fragmented, collected manually, and unsuitable for analysis. With the HiPerWare platform, operation becomes manageable in real time: data is collected continuously with reference to the "anatomy", analysed by AI, and forms the evidence base for ESG and financial decisions.
Increasing energy efficiency requirements and growing operating costs make peak load control a critical task in building operation. Unlike traditional BMS systems, HiPerWare can see how energy is distributed within a building and how energy consumption peaks are formed and developed. The HiPerWare platform collects data from not only BMS or EMS, but also hundreds of sensors that measure consumption, temperature, pressure, and other processes in real time.
