With our advanced sensors, we efficiently optimize electricity consumption in refrigeration systems. You can easily monitor their status remotely and receive notifications of potential malfunctions in advance, helping prevent issues and reduce maintenance costs.
Energy Efficiency + Predictive Maintenance = Savings
Why you need our solution?
Optimizing various production systems for energy efficiency and implementing predictive maintenance are pivotal strategies that lead to substantial cost savings and enhanced overall operational efficacy. By fine-tuning processes across the manufacturing spectrum, companies can significantly reduce their energy consumption, translating to lower utility bills and a diminished environmental footprint. Predictive maintenance, powered by data analytics and AI, identifies potential equipment malfunctions before they escalate, preventing costly breakdowns and unplanned downtime. This proactive approach minimizes repair expenses and maintains uninterrupted production. In synergy, these measures harmonize to not only conserve resources but also elevate the company's financial bottom line while maximizing operational efficiency across the board.
Our specialists visit to inspect existing cells and identify faults or sources of inefficient waste of electricity
Remote Monitoring and Calibration
Remote access to unit condition monitoring and alarm notification, helping to minimize waste and reduce the risk of loss to zero
Engineering solutions to improve the energy efficiency of your systems
Suppose a freezing cycle lasts 2 hours and 30 minutes. In fact, the product is frozen to -18°C in 2 hours and 10 minutes.
The remaining 20 minutes the blast chiller wastes energy.
To control the operation by the temperature measured in the body of the product.
When the chamber has finished the freezing cycle, the worker may not immediately notice it.
This wastes electrical energy, production downtime.
Sending an alert to a smartphone and/or audible signaling of the end of freezing.
Uneven distribution of cold air flows
Prevents optimal energy consumption during product freezing (product is frozen unevenly - somewhere -10 and somewhere -15).
Analyzing the distribution of flows and freezing speed in several points of the object, creating a model and adapting the directions of cold flows in the chamber, which will help to speed up freezing.
The user may not always be aware of an accident in production. Example - a weekend, an accident in the storage chamber -18 degrees, the duty officer may not be present or he may notice the accident too late.
Losses in the form of spoilt products.
notification on the phone about an accident or some key changes in the system operation.
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