M2M solutions for data collection

The wireless machine-to-machine (M2M) world is also evolving rapidly with a growing number of devices connected to each other in various types of industrial and domestic networks. Using scalable wireless mesh networking, wireless products should be able to handle configurations scalable up to any size.


M2M wireless (including industrial applications) is sometimes regarded as the “third wave” of wireless, after office-based (Wi-Fi) and consumer based (mobile) communications.

When it comes to M2M, practitioners should make sure that new modules of any vendor offerings offer backward compatible with existing hardware and software, allowing them to leverage their existing deployments.

An interesting trend to watch in the world of industrial wireless is the increasing collaboration between traditional IT departments in the corporate office and the process engineers on the plant floors, thanks to the penetration of Ethernet in both; this spills over into areas like network monitoring, performance analysis and optimization.


In sum, wireless is continuing to grow in the industrial space as some of the newer technologies are more capable and secure. Choice does not always have to be accompanied by complexity in this case, especially when future-proofing is concerned.
See below our last project design smart system for data collection:

Application of soft sensors

Riveja's activities aim at developing methods and tools that optimise industrial processes. This includes enhancing the energy performance of existing equipment, such as dryers, or the optimization of energy and water consumption over an entire industrial site. R&D activities that are ongoing or in development include:

• Developing analysis tools to optimize steam production and utilization in complex industrial sites
• Developing methods to simultaneously optimize water and energy networks in industrial sites
• Applying data mining techniques to improve wood processing performance and save energy in sawmills and other manufacturing sectors
• Performing scoping study on the application of soft-sensors to improve process operation and energy performance

Our experience represent the following industrial sectors: Furniture, Pulp and Paper, Petrochemical, Oil Refining, Chemicals, and Food and Drink.

Soft Sensors to improve pulp and paper process operation and energy performance

The pulp and paper manufacturing industry usually faces a lack of real time measurement of product and process variables. This on-line unavailability of critical process variables can lead to undesirable variability, out of specifications production and higher energy consumption. A soft sensor provides on-line, accurate estimates of these variables, eliminating additional energy and production cost associated with out of specifications production. Soft sensors can also play a significant role in more complex systems used for process optimization, such as fault and diagnosis systems, and control systems.
A soft sensor is the correlation from various raw data sources to create a new source of useful information. It is an empirical model that infers process state and product quality variables that are difficult to measure on-line (composition, melt index, molecular distribution, etc.) from readily available process measurements (temperature, pressure, flow, etc.).
Riveja performed a scoping study for a possible longer-term research and development program (R&D) that would ultimately aim at increasing the adoption of soft sensors or "virtual analyzer" for process and energy performance in the pulp and paper industry.
This scoping study consists of the identification of the processes in the pulp and paper, which are the most promising candidates to the development and implementation of soft sensors. Also, the scoping study will help define a roadmap toward long term R&D program in this area with information from process experts and operators, R&D experts and sensors and control systems developers and providers.

Instalation for CO2 flow measurement

There is instalation at one brewery factory that I did. The system monitor and calculate flow consumtion of CO2. As hardware was used LogMessage device and ProfiSignal software.

System for flow controll

I have finished project for tank volume and pump control and monitoring:
Solutions for process monitoring

Hardware for test automation

Best hardware for test automation + profesional software:

Equipment for soft sensor systems

Features of soft sensors

Features:

• soft-sensor design;
• advice on data selection and choice of model structure;
• model validation;
• strategies for the improvement of soft-sensor performance;
• uses of soft sensors in fault detection and sensor validation;
• soft sensors in use in industrial applications such as a debutanizer column and a sulfur recovery unit.

Soft sensors

Soft sensors are inferential estimators, drawing conclusions from process observations when hardware sensors are unavailable or unsuitable; they have an important auxiliary role in sensor validation when performance declines through senescence or fault accumulation.
Soft Sensors for Monitoring and Control of Industrial Processes underlines the real usefulness of each approach and the sensitivity of the individual steps in soft-sensor design to the choice of one or the other.