There are industry standards that the IoT system should follow in order to be efficiently integrated into the facility where it is supposed to operate. The failure rates should be very low and the IoT hardware must be tough and be able to withstand environmental variations. It might also mean that such a system must be able to monitor additional parameters like humidity.
Any good IoT based temperature control system must be able to efficiently automate the control process within a certain range of temperature. This will mean that it will need less attention from employees. In effect, the implementation of such devices must improve the efficiency of the facility in many ways, primarily of which are time and money.
Since all IoT devices are data-driven, they must be able to protect themselves and other devices connected to the system. The data-driven nature will also translate to a strong analytic capability of such software. This data can also be used to make predictions about the facility the IoT system is placed in, which is another one of the prominent features of such a system.
IoT based systems are common targets for malicious attacks, and whatever Industrial IoT based temperature monitoring solutions you are using to control your systems must ensure digital and physical security. Data must be encrypted, possibly with end to end encryption when it travels through networks and there should be many layers of security in the IoT environment.
The most important feature of all, the IoT software will ensure that you can control any part of the facility through a secure central controlling interface that can be opened on either a computer or a mobile device. Web-based applications or mobile apps are used for this purpose. You can create such systems for either iOS or Android, based on your devices of preference.
User interface design for the control systems present in the PC based or mobile app is a very important part of the software design. The interface will make sure that anyone can easily get acquainted with such software no matter the number of other features associated with it.
The following technologies are used in IoT based temperature monitoring technologies. The software is available as both a web app and a mobile app. The mobile apps will be developed by experts.
LoraWan
MicroPython
Python
Javascript
AWS cloud
AWS IoT
HTML5
CSS
Javascript
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