Siemens Schweiz AG

Systems and methods for intelligent control of HVAC equipment, often incorporating sensors, communication networks, and adaptive algorithms to optimize comfort, energy efficiency, and operational parameters.

Systems and methods for processing, prioritizing, and presenting multiple alarms, including features like temporary pausing, customized display, and intelligent decision-making for alert delivery based on context or user profiles.

Mechanisms and control systems for precisely moving valve elements, often involving electric motors, cams, solenoids, or pneumatic/hydraulic pilots, to achieve desired flow or position.

Engineering and diagnostic aspects of individual heating, ventilation, and air conditioning components, such as PTC heaters, air ducts, flow control valves, and compressor monitoring.

Valves specifically designed for managing fluid power in hydraulic or pneumatic systems, including components for pressure regulation, flow direction, and system centering.

Application of artificial intelligence, machine learning, and data analysis techniques for tasks such as fault detection, predictive maintenance, learning-based control, and intelligent environmental monitoring in HVAC systems.

Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Specialized valve designs for domestic and commercial applications involving water distribution, temperature control, and air conditioning, often focusing on integration, materials, and specific flow characteristics.

Novel designs and configurations for heat exchangers that improve heat transfer efficiency, compactness, or enable specific phase change or separation processes within refrigeration and heat pump cycles.

Systems and methods enabling the monitoring, configuration, and operation of industrial equipment and processes from a distance, often utilizing wireless communication protocols and networked platforms for enhanced flexibility and access.

Integration of power converters with energy storage devices (batteries, supercapacitors) or grid interfaces, often involving AC/DC conversion, power flow management, and fault handling for hybrid power systems or specific applications like EVs or PV.

Incorporating sensors and processing capabilities directly into valve systems to monitor operational state, detect malfunctions, measure flow parameters, or verify proper installation.

Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.

Systems that utilize light, displays, or augmented reality to provide warnings, guidance, or to deter unwanted actions, often involving adjustable light patterns or directional indicators for enhanced effectiveness.

Automated methods and tools for generating, optimizing, and verifying the physical layout and interconnections of electronic components, including integrated circuits, printed circuit boards, and system-level interface protection.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.