Industrial Internet of Things possibilities

Industrial Internet of Things

The Industrial Internet of Things allows extensive use of data through quantitative analysis, statistics, predictive models to manage decision-making and business actions. This analysis of the information facilitates the decision making either by the specialized personnel or automatic decisions that the system executes with the authorization of the personnel.
The ecosystem formed by the IIoT offers the following advantages in the Industry:

IIoT systems make it possible to improve equipment availability

IIoT has significantly increased the availability of smart devices or equipment. This increase in availability is due to algorithms that analyze information from sensors. Here are some of the algorithms that improve availability:

Equipment Protection Algorithms:
IIoT systems have a high availability of equipment or devices, it is a good choice for systems that require >> 99.999% availability.
For example, It is important that safety devices trips when they should, but sometimes unnecessary trips are triggered, which could be avoided with computer protection algorithms.
These algorithms increase the adaptability or flexibility of the equipment to support different conditions in order to avoid false trips, allowing the equipment to remain on for longer periods of time.

Predictive Monitoring Algorithm:
The predictive monitoring of the condition of the device in real time, allows the predictive maintenance of the device or the equipment, increasing the useful life. Unlike most of the corrective maintenance that is performed in the industry once the equipment or device has failed, which can generate losses in the process, with a predictive maintenance corrects the cause of the unsafe condition before the fault happen, thus increasing the availability of the device or equipment.

Control Algorithm Adaptive:
The algorithms of adaptive control that operate in real time modifies the behavior or control of the device in response to changes in system dynamics and disturbances. For example, device control parameters based on current operating conditions, such as weather or material being processed, could be modified to change the behavior of the device to the circumstances surrounding it.

Transmission of information without intermediate servers

Some systems that use IIoT are based on an architecture without servers, where all the information is sent, saved and analyzed in the cloud. This eliminates the dependence of information processing by servers, avoiding drops of the system due to lack of connection to the server. In addition, this architecture without servers facilitates the redundancy of data communication.

Information saved and analyzed in the Cloud

IIoT systems make it possible to improve the equipment utilization

The statistics show that in the industry there are many equipment with very little use because the operators do not know its scope. Many devices are not used effectively, operators waste time trying to properly configure a computer or configure it at inappropriate times of day interrupting the process.
The predictive algorithms improves the output of equipment products, identify operational problems, eliminate poor machine operation, improve operator performance, and perform fault-prevention analysis. All this allows to produce more with better quality and less equipment.

IIoT systems ensure real-time response

IIOT systems can have a response rate of less than <100us, even in the case of high-load systems, complex data types or many information flows, IIoT systems have the ability to manage information in real time. The real-time response is achieved through peer-to-peer communications where information is transferred directly without intermediate servers, multicast communications where the information transfer can be one to many or many to many, this way the information is sent simultaneously to various destinations or groups, and optimizing the data path.

IIoT systems can manage complex data flows

The information management domain allows the required information to be found and sent to the required location in the required time, through selective filtering of the data centered transmission.
Unlike object-centered data transmissions, where data is encapsulated and methods are exposed, it is widely used by programmers since the data varies more than methods by allowing methods to act on the data; In IIoT systems, communication is data centered, where it is necessary to expose the data and encapsulate the methods by means of an explicit model of data exchange, where the interface is the data, the infrastructure understands the data and the system manages the data and establishes the rules of how the applications exchange the data.
This data-centricity information transfer enables interoperability, can be read and written from any operating system or language, facilitates data redundancy, sorting, filtering and security.