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Oliotalo wins Kemira Innovation Award for Intelligence in Advanced Water Treatment

Kemira is a global 2.4 billion euro chemicals company serving customers in water-intensive industries, focusing on pulp & paper, oil & gas, mining and water treatment to best improve their customers’ water, energy and raw material efficiency.

At the launch of the challenge at Slush Helsinki 2015, Antti Salminen, President of Kemira's Municipal & Industrial segment said: "We serve municipalities and water-intensive industries throughout the water cycle, enabling them to adapt to tightening regulatory requirements and shift towards circular economy. But we could do more. We could combine our application knowhow and chemistry with data and intelligence to bring more value to our customers. This is a great opportunity to work together with agile and creative partners on new innovative solutions. We are really looking forward to the event and the collaboration opportunities it may initiate."

"It is fantastic for Oliotalo to partner with industrial global companies in developing new innovative solutions for industry leaders such as Kemira. Their foresight and commitment from the onsett of our cooperation to finding new innovative ways to embed intelligence into their operations to benefit their customers, is a concrete showcase how digitalization and IoT is built into the strategy of a major corporation.", comments Kim Korhonen, CEO, from Oliotalo. This is the second innovation award for Oliotalo in a couple of months. Oliotalo was recently awarded the Munich Cleantech Innovation Award in Germany. Please read the Kemira Press Release here.

Intelligent Services opens up new opportunities

Our customers seek competitive advantage  on many fronts with our technology and services. By creating a two-way "umbillical cord" to machines and equipment, a continuous connection is established between the business and the machine. As the picture emerges from the machine as a result of this connection, it tells the business who is using the machine, how is it being used, in what conditions the machine is in and in what conditions it is being used. The connection enables an informed dialogue between the supplier and the customer, which enables an active managment of the customer relationship. A true view from the perspective of the machine and its relationship with the process and the business is established.

Making operations more efficient, understanding the customer and understanding the machine, are some of the ways competitive advantage can be achieved. One such example can be shifting from scheduled maintenance to need based maintenance. The key word, however, in seeking competitive advantage is intelligence. Collecting information and analyzing it is only the first step, the most basic of value adds. An intelligent system maximises the use of the information at the device level, increasing the autonomy of the asset and reports only the essential information. This reduces unnecessary and costly data transfer, speeds up reaction times and reduces manual labor.

Collecting data and analyzing it is, of course, important. It is the raw material for big data, for data crunching. But an intelligent machine, not only is more autonomous, but can also independently be a part of a system, influence how the system works and for example guide its user.

More monetary value with intelligence?

When building services, it is necessary to start by answering the question: What information has monetary value? Asking this question from different people in different functions reveals very different answers. Sales see opportunities for new businesses and additional sales and the maintenance people perhaps ways to make their operations more efficient and machines more reliable through predictive maintenance. Increasing the device level intelligence makes it possible for all parties to benefit.

Automating manual tasks, for example by increasing the number of equipment under continuous monitoring, can radically increase reliability and save costs. Using our technology, a power plant managed twice in one year to prevent an unscheduled shut down, savings in tens of thousands of euros. Another power plant managed to increase their output by 8% by learning more about their process after installing ORM-technology. Third example in this category is a company identifying a problem with a cooling unit under warranty before the warranty expired and the issue materialized into something worse. 

When intelligence is introdued to the device level, the first step can be something as simple as an automatic fail-safe operation to prevent further damage. Taking the next step could be for example initiating a process or function based on condition and operations monitoring, for example increasing cooling in a transformer and going even a step further like controlling other devices based on the collected and processed data. This could be controlling water pumps based on pH and water levels at a water cleaning facility. The opportunities are countless.

An important factor is that the system grows and evolves driven by the business needs. Further more, the system needs to be able to perform in the environment the device is, or could be, in; and thirdly, it must be adapted into the technology and business environment of the company. Here is where the modularity of the ORM-technology comes to play - the freedom to configure an industrial grade solution that perfectly matches the above requirements. An intelligent device not only saves costs, opens up new business possibilities and brings the customer closer; but should be flexible enough to serve future needs as well. An intelligent device enables the building of intelligent services. And here, only imagination sets the limits.

Guest Blog

Jukka Toukonen
Service Specialist


Continuous monitoring and the life cycle of electrical motors.

The majority of the life cycle costs of an electrical motor comes from energy consumption. The purchase price represents some 2% of TCO of a motor with a life of some 20-40 years. Electrical motors have parts that wear down (e.g. bearings) in addition to which dirt and mechanical and thermal strain wear down the motors.  In-shop service is recommended depending on the type of use (type of load, number of starts, environment) every 10-15 years. Even coiling might have to be done 1-2 times during the life of a motor, this also is done in most cases at the shop. The share of life cycle costs of maintenance represents some 10% and coiling up to 50%of the purchase price.

In addition to the maintenance costs also preventative work must be included in the total costs, this includes e.g. lubrication, condition monitoring, cleaning etc.) The costs of preventative measures can be significant over the life of the motor.
As a whole, the maintenance cost can equal the purchase price when calculated over the life of an asset. This sum can easily grow to tens or even a hundred thousand euros over the life for bigger (> 100kW) motors. Condition based maintenance aims to minimize these costs while maximizin the uptime.
A scheduled maintenance program is easier to budget, but it falls short on cost when compared to condition based maintenance. A failure caused by aging or wear come seldom as a surprise of the asset is monitored regularly. The challenge with periodic monitoring is, however, in keeping the conditions same and te measurement results comparable. The conditions, load, use all vary). With continous monitoring it is possible to not only spot ong term trends but also short term fluctuations, with which is it easier to predict maintenance needs and the impact the maintenance has. Very often the requirements for the motor change over the life of the motor and might differ greatly from the purchase moment of the asset.
One of the big benefits of continuous monitoring is to get to the core of the biggest cost component - enrrgy consumption. For example understanding temperature tells a great deal about load and loss. Vibration monitoring can lead to the contributors to loss such as resonance, inballance, misalignment, lubrication and friction. Vibration consumes always energy, which is away from the actual purpose of the motor - generating torque. Continuous monitoring also telss how the motor is being used. From the results, one can read how well the motor serves the production process, and it can also give indication to the optimization of the entire process.

Implementing continous monitoring is technically easy and the cost is reasonable. Ready solutions and components are readily available. Implmenting the technology is easy, the question is who can set the correct paraameters and interpret the results.
ABB Motors and Generators Service offers condition monitoring services, where the customer can purchase a full service monitoring and alaytics service. ABB will deliver and install the syste,, configure the parameters and if desired take care of the monitoring and interpretation of the results.

The entire solution can be delivered as a service, with one monthly fee. The system can also be installed without interrupting the process.
This type of a monitoring as a service does not require personnell or equipment investments, nor does it require additional training.
I believe that in the future new services will emerge as an alternative to buying a motor. There will be service that take into account better the entire life cycle costs, for example, buying a guaranteed torque with a fixed monthly fee. In a business model like this it is imperative that the service provider has 24/7 information from the motor and its environment and use. As an intermediary step to this kind of a torque-as-a-service business model could be a torque-guarantee from the equipment provider in exchange for a 24/7 access to the same information.


ORM800 - featuring distributed intelligence

The newst addition to the ORM-family is the modular ORM800 hardware platform, that offers scalability with robustness. It’s a high-end product designed for industrial condition and operations management where usual solutions are not sufficient. It offers distributed computing power to enable real time local analysis and use of measurement results. Together with our dOGMA platform, it makes a powerful base for industrial IoT-applications.

ORM800 Platform features

The standard 19” (4U height) base unit contains a power supply, central processing module and room for smart expansion modules. Choose the features you need - from simple to complex. Several base units can be connected together to create even larger systems. This enables true simultaneous sampling with distributed data analysis.

Contact Kim Korhonen at +358 40 549 3022 or
Contact us! Tel. +358 20 756 9400
Copyright © 2016 Oliotalo Oy, All rights reserved.

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