Remote Temperature Control
Remote Temperature Control - Related Videos
11:27
Magnetically-Assisted Remote Controlled Microcatheter Tip Deflection under Magnetic Resonance Imaging
0 Views •
Cited by 10 •
2013
Current applied to an endovascular microcatheter with microcoil tip made by laser lathe lithography can achieve controllable deflections under magnetic resonance (MR) guidance, which may improve speed and efficacy of navigation of vasculature during various endovascular procedures.
10:17
Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle (Mercynorrhina torquata)
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Cited by 12 •
2016
This protocol describes the process of constructing an insect-machine hybrid system and carrying out wireless electrical stimulation of the flight muscles required to control the turning motion of a flying insect.
06:43
Esophageal Heat Transfer for Patient Temperature Control and Targeted Temperature Management
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Cited by 6 •
2017
This study presents a novel method to provide efficient patient temperature control for cooling or warming patients. A single use, triple lumen device is placed into the esophagus, analogous to a standard orogastric tube, and connects to existing heat exchange units to perform automatic patient temperature management.
06:09
Studying the Protein Quality Control System of D. discoideum Using Temperature-controlled Live Cell Imaging
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2016
The social amoebae Dictyostelium discoideum has recently been established as a system to study protein misfolding and proteostasis. Here, we describe a new imaging-based methodology to study temperature-induced protein aggregation and the cellular stress response in D. discoideum.
08:54
In vivo Application of the REMOTE-control System for the Manipulation of Endogenous Gene Expression
0 Views •
Cited by 2 •
2019
This protocol outlines the steps needed to generate a model system in which the transcription of an endogenous gene of interest can be conditionally controlled in live animals or cells using enhanced lac repressor and/or tet activator systems.
FAQs
Feedback control keeps the system from relying on a single manual adjustment. The controller repeatedly uses the latest sensor reading to determine whether conditions differ from the defined setpoint, then directs heating or cooling equipment to reduce that difference. This repeated correction supports stable operation when temperature changes over time, which is important for process consistency and equipment management.
Network connectivity moves temperature data to a location where it can be reviewed and acted upon. It also supports centralized monitoring across relevant equipment or environments and enables alerts when readings leave acceptable limits. These functions help operators recognize abnormal conditions sooner, coordinate adjustments, and maintain oversight of locations that are difficult to access manually.
A setpoint establishes the temperature target that guides active heating or cooling corrections. Acceptable limits, in contrast, define when the system should alert operators that conditions have moved too far from the desired range. Using both allows the controller to regulate conditions continuously while also drawing attention to situations that may require intervention or review.
A practical configuration connects temperature sensors with a remote controller and links that controller to the heating or cooling equipment. The system then receives a defined setpoint so it can compare measured conditions with the target. Network connectivity can be added for centralized monitoring and alerts when readings move beyond acceptable limits.
The method is useful in HVAC management, industrial processes, laboratory equipment, and storage environments. These settings may require stable temperatures, reduced manual intervention, or access to locations that are difficult to reach. Remote monitoring and automated adjustments extend temperature oversight across these applications while supporting consistent operating conditions.
In engineering applications, the system connects temperature measurement with process management. Automated corrections can improve consistency, while centralized monitoring reduces the need for continuous local attention. Alerts support safety by identifying conditions outside acceptable limits, and coordinated control can contribute to energy management by directing heating or cooling in response to measured conditions.