With a scenario of strong global competition and the search for improvements in industrial processes, we are seeing an exponential advance in new technologies applied to Industry 4.0. Processes, workflows, how to manage performance are drastically changing. Operations can no longer function in linear execution or isolated from the different areas of the industry: the world is becoming more connected every day. The ongoing digital transformation brings new technologies to support the next leap in productivity and performance in the industry.
VIVACE is prepared to face changes and challenges with the necessary pace, with innovative strategies identifying opportunities and crossing limits. Our technology and products contribute to higher performance, safer and more reliable operation. VIVACE is developing several innovative products in synergy with Industry 4.0 and, in this sense, presents the Neuron® Series, the first series of HART® 7 and Profibus-PA field devices in the world market, developed with the concept of Intelligent Automation of Processes, where it applies Artificial Intelligence and Machine Learning to expand the power of its technology and bring benefits to its customers.
The technology embedded in the Neuron® Series enables the next step in improving instrumentation performance with high reliability and towards operational excellence: predictive abilities and complex calculations that provide significant performance improvements and facilitate predictive maintenance.
These are built-in skills where the equipment learns from data without the need for explicit user programming and where they allow safe, automated and autonomous detection in the treatment of sensor data, anomalies in asset management, among others.
The entire Neuron® Series has algorithms to facilitate predictive maintenance, anticipating failures and creating learned conditions when in operation to maximize uptime, increasing availability until shutdown.
Simply put using artificial intelligence in field equipment leads to better results: costs, time optimization, fewer failures, unscheduled downtime and preventive maintenance.
The benefits are numerous and can significantly reduce costs by eliminating the need for planned downtime in many cases.
By preventing a failure with a learning algorithm, the Neuron® Series can continue to function without unnecessary interruptions.
Predictive maintenance also leads to longer remaining devcie life as secondary damage is avoided while a smaller workforce is required to perform maintenance procedures.
With artificial intelligence, the Neuron® Series increases operational safety and can further optimize processes based on real-time data.
The research and development focuses of VIVACE with the Neuron® Series are increasing plant availability, improved maintenance planning and also optimizing the overall effectiveness of the equipment (OEE-Overall Equipment Effectiveness).
Powerful algorithms are used to identify the behavior of measurements, field device operations and recognize their dependencies.
The Neuron® Series development methodology enables superior product quality through better and faster innovation cycles.
It allows the exploration of the potential of digital technology, in a safe, reliable, efficient, robust way, with the highest quality, greater availability and providing benefits in the optimization of industrial processes and controls.
VPT10 is a pressure transmitter with an intelligent capacitive sensor, used in pressure, flow, level and density measurements. It features models with accuracy of ±0.025%, ±0.05% and ±0.075%, response time of 50ms, high rangeability and incomparable stability (Long-Term Stability).
It has high performance due to its powerful temperature compensation algorithm using artificial neural network, which ensures high accuracy, reading stability and less measurement variability.
The sensor's response is expressed in terms of its input by a power series and the intelligent sensor indicates the applied pressure with high accuracy and precision, compensating for temperature and non-linearities.
Machine learning algorithms and artificial intelligence ensure that abnormalities are detected early and device uptime is automatically maximized.
Its performance is safely maximized using continuous multivariate analysis, with Supervised Learning algorithms, exclusively to intimately understand the capacitive sensor measurement process, identifying trends and patterns in the collected data.
VTT10 is a superior performance and highly reliable temperature transmitter for various types of sensors and connections.
It has a basic accuracy of ± 0.01% of the calibrated span, 24 bits A/D converter, single, double, differential and backup measurement, ambient temperature compensation and galvanic isolation: 1.5 kVAC.
All linearization of the different types of sensors and compensation of the ambient temperature is done through artificial intelligence, maximizing the accuracy and stability of your measurements.
The linearization of the various types of sensors is done through a neural network between the ideal output (linear) and the sensor (non-linear) and the output of the neural network provides a correction, which, when added to the non-linear sensor output, gives an overall linear response with high accuracy and reliability.
VVP10 is a non-contact mechanical valve positioner that uses a Hall sensor as position feedback, being applied to the most diverse types of rotary and linear actuators. It has powerful machine learning algorithms in its self-calibration, self-tuning, as well as position control methods, ensuring high performance with reliability and predictive diagnostics.
Position control parameters are enhanced by its artificial intelligence algorithm. The positioner automatically obtains the characteristics of movement type and dynamics, start and end position and easily determines the optimal working ratio of your PID controller to different valve positions and other parameters, which provides the basis for parameter selection position control system with high performance. In addition, the control algorithm not only greatly reduces setup time and valve position adjustment, but also minimizes the overshoot phenomenon over the entire stroke range.
With its intelligence capacity, it performs online diagnostics in a non-intrusive and continuous way, without disturbing the process. Models with pressure sensors and digital inputs/outputs allow for more predictive and accurate analysis.
The raw data feeds the predictive analytics built into the valve positioner. As the sensors are integrated into the positioner, data updates can follow the rapid dynamics of control valve movements. These sensors continuously monitor motion control, pressure changes, valve and actuator condition, positioner condition, and operating environment condition. This means that control valve performance can be maintained at optimal levels by continuously monitoring and taking necessary preventive action. Diagnostics are displayed in the form of event counters, specific graphs and operating times, providing user-configurable thresholds for generating alarms that help with asset management and reduce the total cost of ownership, thereby reducing costs. general maintenance costs.
The Neuron® Series VVP10's digital technology and powerful algorithms provide increased process availability with improved control performance for greater quality and efficiency in process control loops.
