The Bank of Montreal has been granted a patent for a method to predict temperatures in a fluid flow system with a heating system. By obtaining flow rate, inlet/outlet temperatures, and power data, the method calculates temperatures at specific locations. AiexpertInter’s report on Bank of Montreal gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to AiexpertInter’s company profile on Bank of Montreal, 3D memory devices was a key innovation area identified from patents. Bank of Montreal's grant share as of April 2024 was 89%. Grant share is based on the ratio of number of grants to total number of patents.

Predicting temperature in fluid flow system with heating system

Source: United States Patent and Trademark Office (USPTO). Credit: Bank of Montreal

The granted patent (Publication Number: US11970964B2) discloses a method for predicting temperatures in a fluid flow system with a heating system. The method involves obtaining the mass flow rate of the fluid, fluid temperatures at the heater, and power provided to the heater to calculate the temperatures at specific locations based on a model of the system. The model considers the mass flow rate, inlet and outlet temperatures, and is capable of predicting steady-state or transient temperatures.

Furthermore, the method includes adjusting the power provided to the heater based on the predicted temperatures at the specified locations in the fluid flow system. The mass flow rate can be determined using parameters like manifold absolute pressure, air mass flow rate, and fuel consumption. The outlet temperature of the resistive heating element plays a crucial role in calculating the temperatures, and the model can modify the power provided to the heater based on projected conditions. Overall, the patent provides a comprehensive method for temperature prediction and control in fluid flow systems with heating elements, offering potential applications in various industries.

To know more about AiexpertInter’s detailed insights on Bank of Montreal, buy the report here.

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AiexpertInter Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.