The Operating Concept

• High-resolution monitoring of all relevant parameters (temperature, humidity, door openings, energy consumption) every 10 seconds
• Full transparency across all cooling processes and anomalies
• The foundation for all further optimization modules

• Globally unique ice sensor for precise frost detection on the evaporator
• Dynamic, demand-driven defrosting instead of fixed cycles
• Lower energy consumption and extended system lifespan

• Dynamic real-time adjustment of cold room temperature
• Control based on user behavior (e.g., production times, weekends, pre-cooling)
• Stable temperatures, reduced fluctuations, and additional energy savings

• Utilization of PV surplus for energy-intensive processes such as defrosting
• Cold storage in the cooling room for load shifting
• Reduced electricity costs and greater use of renewable energy

• Energy flow management based on day-ahead price data (provided by the customer)
• Dynamic shifting of processes to low-cost periods
• Maximum cost efficiency and grid-friendly operation

• Integration of additional systems such as truck cooling, forklifts, CHP units, or cars
• Scalable to the number of measuring and control points
• Holistic optimization beyond cooling

• High-resolution monitoring and visualization of all energy flows, including CO₂ and cost centers
• Intelligent control to prevent peak loads and optimize grid utilization
• Eligible for funding under BAFA Module 3, serving as a central platform for complete energy management

The term “on-demand defrosting” is misleading because defrosting is not done on demand. Demand defrost systems rely on indirect measurements of temperature and pressure drop. Based on these indirect measurements, the user must decide whether a predefined defrost time can be skipped.

Coldsense’s solution measures ice formation directly at the evaporator and takes this measurement into account when controlling defrosting. With Coldsense, real-time monitoring of ice formation and, accordingly, defrosting is possible for the first time in keeping with the actual operating status of the refrigeration system.

Artificial intelligence (AI) is a branch of computer science that deals with the automation of intelligent behaviour and machine learning.

Arthur Samuel provided a different definition of machine learning in 1959, “Machine learning is a field that gives computers the ability to learn without being explicitly programmed.” (Source: Samuel, Arthur L. (1959). “Some Studies in Machine Learning Using the Game of Checkers.” IBM Journal of Research and Development. 44: 206-226. CiteSeerX 10.1.1.368.2254. doi:10.1147/rd.441.0206)

Supervised learning is a machine learning method. Coldsense uses supervised learning methods, among others, to identify specific patterns of user behaviour from data.

BConsider the example of movements through the doorway of an industrial cold room. Every operation involves different logistics. Some operations are carried out from 9 a.m. to 5 p.m., some during the night, others on weekends. Coldsense’s AI analyzes the door movements and recognizes the flow of logistics in your company and thus the moisture input on the evaporators. As a result, defrosting can be customized.

A high level of fail-safety is an integral part of our control system. We detect errors and anomalies in the operation of cold storage rooms at an early stage. We have also implemented interception mechanisms for unforeseeable faults (for example, a forklift driver drives into electrical installation duct and cuts cables), which we coordinate with your refrigeration system builder.

No. Our system solution is designed as an add-on to existing refrigeration plant control systems. We tell the system when to defrost and for how long. The specific control of the compressors and expansion valves continues to be handled by the refrigeration system. This is, of course, done in detailed coordination with your refrigeration contractor.

We will check this on a case-by-case basis during the walk-through of your facility during the bidding phase. Of course, we try not to duplicate sensor technology in your space.

Yes. Large companies in particular are increasingly relying on centralized automation technology. Of course, we have standardized interfaces for leading providers of building control technology.

Typically, installation in a room is completed within two hours. To ensure that the installation goes smoothly, we accompany your teams of technicians even before the installation through targeted meetings and provide extensive documentation. Our trained service personnel are available by phone to answer questions during installation.

Yes. The system solution for AI-controlled defrosting can also be integrated into existing refrigeration systems. The sensors are simply mounted on existing components.