Setra Blog

The latest version of Setra EDGE Software is now available! This new software release is packed with new features, bug fixes, and updates to improve performance.

Maintaining precise control over environmental conditions is essential for modern data centers, where even minor fluctuations in temperature, humidity, and air quality can impact uptime, operational costs, and efficiency. With the rapid growth of data centers supporting AI, machine learning, and digital infrastructure, reliability is critical. Differential pressure sensors play a central role in sustaining this reliability, and accurate calibration is key to their performance. To meet this demand, Setra Systems has partnered with Standard Calibrations, Inc. (SCI), creating a powerful end-to-end solution that ensures accurate sensor performance across all stages of data center operation.

We are pleased to announce that Setra Systems has joined forces with Standard Calibrations Inc. to transform measurement and control in mission-critical data centers!

Pressure sensors are used across a variety of industries to provide accurate, real-time data of how a process or system is operating in a given application. But how can you tell if your data is accurate? The most common method to ensure the accuracy of sensor output is to calibrate your sensor against a higher accuracy pressure sensor (calibration standard). Now, how can you tell if your calibration standard is accurate?  This is where measurement traceability plays into the calibration process.

A dynamometer, or "dyno" for short, is a device for measuring force, moment of force (torque), or power. For example, the power produced by an engine, motor or other rotating prime mover can be calculated by simultaneously measuring torque and rotational speed (rpm).

Until recently, there was no standard industry network protocol for building automation, and users had to choose between many different systems from different manufacturers. Proprietary communications were a result of no off-the shelf communication solution.

Today, we have reached a place where there are three inter-operable standard network protocols to choose from: BACnet, LonWorks and Modbus. All three are widely used, and according to a Building Operating Management survey in 2011, 62% of respondents had at least one BACnet application; for LonWorks the percentage was 40%, while for Modbus the number was 30%.

In HVAC/R applications it is helpful to understand the methods used to determine air velocity. Air velocity (distance traveled per unit of time) is most often expressed in feet per minute (FPM).  Multiplying air velocity by the area of a duct allows you to determine the air volume flowing past a point in the duct per unit of time. Volume flow is generally measured in cubic feet per minute (CFM).

Pressure Transmitter, Transducer, Sensor, or Switch: What are they and how are they different from each other?

The pressure sensing industry features a variety of devices, and their names can be confusing to those unfamiliar with the terminology. 

What Is A Pressure Sensor?

A pressure sensor is a device that converts physical pressure into an electrical signal, making it vital for measurement and monitoring across a range of applications. These sensors are used in industries such as automotive, aerospace, healthcare, and industrial automation, where precision and reliability are crucial for pressure sensors. They play a significant role in predictive maintenance strategies, alerting maintenance teams to deviations in pressure that could indicate potential equipment failures. The primary unit of measurement for pressure is the pascal (Pa), but other units like bar and psi are also commonly used depending on the application.

Application Details: 
Per USP797 and UPS800, compounding pharmacies are required to keep records of the environmental conditions of the compounding space as well as the temperature within appliances where product is stored. Many compounding pharmacies record this data manually but this can be both time consuming and lead to potential errors.