Invitation 3rd October 2019: Inspiration session on Predictive Maintenance

Dear friends,

Interested to learn from the front-runners in Condition Based & Predictive Maintenance?

We would like to invite you to join us on Thursday 3rd October for an informal knowledge sharing event at Jheronimus Academy of Data Science (JADS) in Den Bosch. This is the first of series events and for the first session, we will focus on condition based maintenance and the journey towards predictive maintenance.

The purpose of this networking event is to hear how leading companies are experiencing data-driven projects and also to gain insights into accelerating your projects. JADS are hosting the event along with MEUNGO and we are inviting companies in our respective networks.

Remco Dijkman
Associate Professor in Information Systems
Eindhoven University of Technology

Erik de Vries
Senior Hardware Engineer

John Kop
Senior Digital Product Owner

Renato Calzone
Program Manager Smart Industry

Georgo Angelis
Sensing 360

Prof. Dr. Martin Atzmüller
Associate Professor
Tilburg University

Dan McCluney

Oscar Moers
Head of Compass

The proposed agenda, doors open at 14:30 starting at 15:00, 6 short talks:

  • JADS & MEUNGO – Introduction & welcome
  • Wärtsilä – Combining expertise and AI to enhance reliability efficiency and safety of assets by John Kop
  • Damen Shipyards – Smart sensor mapping for remote monitoring
  • Break at 15:55
  • Lely – Predictive maintenance and data driven perspectives: The Lely journey so far by Oscar Moers and Erik de Vries
  • TU/e – Past performance as an indicator for predicting failures – a researchers view by Remco Dijkman
  • JADS – Big Data for Operator Support in Chemical Plants by Prof. Dr. Martin Atzmüller
  • Sensing360 – Optical Load and Condition sensing on rotating equipment to optimize performance and efficiency by Dr. Georgo Angelis
  • Networking and drinks at 17:30



We are looking forward to meeting you there!

Thursday 3rd October at JADS in ‘s-Hertogenbosch

Are you in? Subscribe now!


Dan McCluney
Co-founder MEUNGO
+31(0)6 10293794

Renato Calzone
Program Manager Smart Industry, JADS
+31(0)6 130 609 74


The Internet Of Things is enabling a transformation that makes it possible to gather and analyze data across machines, enabling faster, more flexible, and more efficient processes to execute at higher-quality at reduced costs. But how do you start? What are the steps you have to take to go from data collection to improving your processes? Let’s describe a real case we implemented to answer these questions.

We believe complexity should be hidden from the users, we believe you can apply machine learning without being a data scientists, we believe you can collect data without being a data engineer and finally we believe you can create your own dashboards, actions and control your processes without being a programmer. We do this by putting you in control of the tools.

Let’s present you with a real use case we implemented. It is a simple use case, a customer asked us if we could help monitor thousands of remote devices that are pressurized. These devices have the capability of sending their current status every hour. The question is which ones are leaking and need attention by a field service engineer.


We started with collecting the information, like many sensors and machines nowadays the customer can already configure the pressurized device to forward the data securely to the MEUNGO application. Actually, this customer started their Internet of Things project enhancing their own hardware to communicate the status, while doing this they used the MEUNGO software to test and verify the communication. Out of the box the MEUNGO software allows users to add and change data sources (sensors), how they communicate and how to integrate these data sources into one device type. We believe we live in a changing world and therefor allow the user to change the definition of the world, we do not program it, you as a user configure the system.

After connecting the devices and verifying the data using user defined dashboards the customer was ready to create some information out of the data. The challenge here is the amount of devices, not always knowing the desired pressure and the fact that some of these devices are exposed to outside temperature that influence the pressure. Simply detecting a lower pressure is not sufficient because that could be because of lower outside temperature, manually checking for a trend in one the user defined plots does not scale well and is error-prone.

The solution the customer selected was to invoke the simplest machine learning algorithm one can execute on a time series. The customer decided to configure the system to train a linear trend algorithm every day using a week of history. The trend of the estimated line indicates if the pressure over the course of a week is increasing (larger than zero), is stable (zero) or is leaking (less than zero). Next, the user defined a rule to be triggered only if the trend is less than zero, the actions associated with the rule are to record the event and create a work order in their field service software.

The customer was able to go from collecting data to action in less than a day and continuous adding actions based on progressive insight. On top of that the solution allowed the customer to improve their Service Level Agreement by guaranteeing the presence of pressurized devices at a lower cost.

Overall Equipment Effectiveness and the Internet Of Things

We strongly believe that the Internet Of Things will allow businesses to improve and automate their processes all the way up to autonomous execution.  In manufacturing one of the crucial components of the Total Productive Maintenance system is Autonomous maintenance. How does the Internet Of Things help the implementation of Total Productive Maintenance? How does the Internet Of Things contribute to the Overall Equipment Effectiveness? And how does predictive maintenance as something that the Internet Of Things enables have anything to do with Total Productive Maintenance?

Let’s go back to the beginning, Overall equipment effectiveness or OEE is a measure of how well a production unit works compared to its full potential. Overall equipment effectiveness is a term coined by Seiichi Nakajima in 1982 in his book TPM tenkaiHe was one of the founders of the Total Productive Maintenance system which main objective is to increase Overall Equipment Effectiveness by applying the concept of the 5S and promoting 8 supporting activities.



The first S aims to eliminate anything that is not truly needed in the work area as for example unnecessary materials and equipment.



The objective of the second S is to organize the remaining items in order to define and maintain clean locations for tools, machines and materials.



The third S refers to the implementation of regular cleaning practices by dividing the manufacturing floor into different cleaning areas and assigning a responsible team to each area.



The fourth S is focusing on creating standards for performing the previous three activities.


self discipline

The objective of the fifth S is to make the system sustainable by ensuring that all standards are regularly applied.

The main objective of Total Productive Maintenance is to increase Overall Equipment Effectiveness which has three factors that are multiplied to give one measure:

  • Performance, of the theoretical speed at what speed did the production unit run
  • Availability, of the theoretical time the machine can be used how much was the production unit running
  • Quality, of the theoretical sale-able products the production unit could produce how many did it produce


The actual speed of a machine compared to the maximum speed determines the performance


Breakdowns result in unplanned downtime and changeover is the time between moving from one unit to another unit, it includes re-configuring a machine and the time to get a ready for production.


The units produced minus the defective units determines the quality.

Overall equipment effectiveness is measured as a percentage between 0 and 100% and can be reported on a machine-by-machine, product-by-product or shift-by-shifts as long as you make sure you collect enough data to be statistically significant. The eight pillars of Total Productive Maintenance are mainly focused on proactive and preventative techniques for improving equipment reliability. The pillars help to improve all the three factors Performance, Availability and Quality of Overall equipment effectiveness.


Places responsibility for routine maintenance, such as cleaning, lubricating, and inspection, in the hands of operators.


Have small groups of employees work together proactively to achieve regular, incremental improvements in equipment operation.


Schedules maintenance tasks based on predicted and measured failure rates.


Design error detection and prevention into production processes. Apply Root Cause Analysis to eliminate recurring sources of quality defects.


Directs practical knowledge and understanding of manufacturing equipment towards improving the design of new equipment.


Fill in knowledge gaps necessary to achieve goals. Applies to operators, maintenance personnel and managers.


Maintain a safe and healthy working environment.


Apply Total Productive Maintenance techniques to administrative functions.

Let’s have a closer look on each of the components of Overall Equipment Effectiveness and how it is related to the Internet Of Things:


The actual speed of a production unit compared to the maximum speed determines the performance.

Improving speed starts with measuring speed and the factors that could influence speed. In a production line, speed of a single production unit is limited by the production units downstream and upstream. First thing to do is to determine unambiguously the reason of the speed, is the bottleneck the downstream production unit, the machine itself or the upstream production unit driving the speed at any given time.


Breakdowns result in unplanned downtime. Post breakdown analysis allows you to find root causes to plan downtime to prevent breakdowns by executing preventive maintenance.

The Internet Of Thing allows you to monitor your production unit as it is running. Using the data you can do several things to reduce the risk of unplanned downtime:

  • monitor actual run time of the production unit and its parts, instead of a calendar driven maintenance you apply a condition based maintenance schedule
  • detect anomalies in behavior of the production units, temperature, sound, humidity and vibration are all indicators which potentially can indicate a potential problem
  • once you have collected enough data of your production unit you can have data scientists try to discover if they can predict when your production unit needs maintenance, when does a vibration indicate a problem etc
  • detect incorrect use of the production unit, incorrect configurations both in the control parameters as in the hardware configuration

Changeover is the time between moving from one unit to another unit, it includes re-configuring a machine and the time to get a ready for production. Changeover is typically reduced by better scheduling of the production (larger batch sizes, saw-tooth changeover times etc) and by offline improvements to make it easier and faster to make the adjustments. The Internet Of Things allows you to unambiguously measure changeover times.


The units produced minus the defective units determines the quality.

Improving quality is typically done by cold analysis, so it starts with monitoring and after the data has been collected try to find correlations. The correlations will identify opportunities for you to improve:

  • Is there a relation between defective reasons and shifts, this exposes opportunities to improve by training
  • Is there a relation between type of unit and defective reason, this exposes opportunities to improve in configuration of the production unit and training
  • Is there a trend in the quality and time of production, this exposes fatigue and opportunities to improve by changes schedule

The Internet Of Things allows allows you to real time monitor the number of defective units which allows you to react immediately.

How to start with the Internet Of Things

When dealing with the Internet Of Things security is extremely important. So the first thing you need to cover is to convince yourself your risks are sufficiently covered, production can and may not be interrupted due to measuring. We understand the choices and the consequences.

Starting with the Internet Of Things can be as easy as using existing programmable logic controllers (PLC) and connect them to the internet using one of the many available gateways. An alternative to using your PLC’s is to use external sensors and attach them to your production units. Both scenarios are relatively straightforward to execute and the starting point of collecting, monitoring and reacting in real-time to your reality.

Our experience is that once the hardware problems is covered you can use the data in existing Total Productive Maintenance system immediately. We make it safe to connect, collect, visualize and react.

MEUNGO collaborates with the JADS Playground

From April 2019, MEUNGO is hosting a display space at the Jheronimus Academy of Data Science (JADS) in Den Bosch. MEUNGO collaborates with the JADS Playground to cooperate in a multitude of ways to bring even more practical tools and value to the world of Data Science. Together, we aim to help companies benefit from the deep knowledge existing at JADS, the Cloud based software tools from MEUNGO and our IoT hardware partners such as Enless Wireless.

These are exciting times and partnerships are the key to success and speed to help entrepreneurs innovate and deliver sustainable value from Data Science. So much technology is now available and affordable for small and medium sized companies to deliver data-driven insights and decision making.

MEUNGO network welcomes an exciting new collaboration

MEUNGO network welcomes an exciting new collaboration

MEUNGO are pleased to announce a new member in our developing ecosystem; Enless Wireless who makes a wide range of wireless transmitters to monitor the energy consumption of buildings.

Both companies saw a good complementary fit in the growing market for smart building energy management. MEUNGO, which offers the possibility to connect 95% of the market’s radio sensors by enabling data driven decision making in lightning speed, quickly attracted the attention of Enless Wireless wishing to orient its English speaking customers towards a flexible solution that is quickly implementable. “Our first impression is that the platform is clear and the dashboards easy to configure. We can see that the platform is adaptable to a wide variety of applications, which is great. In addition the decision support features will help our overseas clients react in real-time” says Victor Petit, from Enless Wireless.

David Rijsman, founder of MEUNGO, emphasizes his confidence in the collaboration: “The Enless Wireless products we tested are responsive and flexible, and MEUNGO was very impressed by the wide range and long battery life of their Sigfox sensors. We are pleased to provide our joint customers with an optimized energy performance tool fed by their range of sensors



The combination of Enless Wireless and MEUNGO solutions enables real-time, enhanced decision making across the enterprise. The added value also lies in the adaptability and scalability of the solution: the end user can independently add new sensors, configure his dashboard and decision triggers according to its needs. Via our intuitive tool the end user can define its world for better real-time data driven decisions that save time, money and energy.

How are you measuring your building energy performance today? If you want to get your business case reviewed quickly and do your bit for the planet, then please contact us at

3 common pitfalls to avoid in IoT projects

3 common pitfalls to avoid in IoT projects

Any disruptive technology comes with the opportunity to learn fast and move forward. However, in recent months we are observing common recurring patterns. We aim to share these lessons learned to help others succeed earlier and harvest the benefits of real-time insights and actions. We also created a graphic to help describe the idea. Where are you in this picture today and where do you need to be?

1. Architecture not ready for a changing world

We hear often that change is the only constant. This has never been so applicable as in the world of the Internet of Things and accelerating technology advances. When the basic architecture is founded and rooted in the knowledge that the world is changing, you can deliver results; as only more things will be going online and you will be future proof for an ever growing number of data driven applications.

In addition to this, there will be many future use cases possible from the data that other industry partners will be interested in accessing to enable smarter decision making. Controlled access to this aggregated information (enabled by the yellow sun shape in the graphic) will have a premium value. If we refer to the graphic, in an ideal world manufacturers would focus on the infrastructure to enable and support application development by integrators, service companies and user groups.

2. Not knowing your “role” today and where you need to be, avoiding the red quadrants

Being all things to all people can be exhausting and counterproductive. In this regard, knowing your role in the new IoT world and where you should be heading are vital. We have observed the challenges here ourselves and see other industry players struggling. For example if you are an end user or service company, then the focus should not be on sensors and infrastructure development. When after-sales service and maintenance companies can harvest aggregated data, then the end-users will see enhanced service levels and up time.

3. Not realising that being a partner is as important as having a partner

In the connected world being a partner is as important as selecting a partner. Knowing your role and your partner’s role allows you to make the most out of these new relations in a very dynamic and evolving market. Take time to align on the most important issues of the goals, security and how to handle the changing world scenarios.

Fortunately there are many options available today with platforms, partners and players.

Want to avoid more pitfalls or to discuss getting back into the right quadrant,  feel free to contact us.


MEUNGO is hosting its first connection workshop

Would you like to kick start your IoT journey?

MEUNGO Connection Workshop
Wednesday 13th March 2019
4-7 pm in Utrecht

The purpose of this event is to better understand the steps required to connect IoT devices
and to experience the power of getting actionable insights from real-time data.

It is meant for machine/sensor builders, system integrators, device owners, and businesses
who would like to know more about the whole IoT process, from connected devices to actions.

Bring your own sensor device (or borrow ours) and your laptop please.

It does not matter how (un)experienced you are, at the end of the evening you will
understand how to connect your existing sensors and devices and take them online.

Are you in? Subscribe now! You can subscribe as a team or individually by sending us an e-mail

We are looking forward to meeting you there!

to, +31(0)610293794

before 28th February 2019

MEUNGO Connection Workshop

Wednesday 13th March 2019

4-7 pm


"I am 24/7 in contact with my rental fleet and can react in real time"​ says Bas Buhrmann

Buhrmann Pressure Systems partnered with MEUNGO to make their online vision a reality.

Bringing their mobile high pressure and vacuum machines online with the MEUNGO platform in June 2018 was the first big step for Buhrmann. Knowing the real-time performance, location and specific use profile is critical to delivering the availability for their time-sensitive customers. Once the first machine was online (that same day!), Buhrmann Pressure Systems were able to take their rental fleet online in less than one week, without outside help nor IT support.


But getting the machines online visible was only step 1, now Buhrmann wanted to see the sensor data in a more relevant context with other data sources such as outside temperature (critical to inform customers when below freezing). This was step 2: “turning raw data into useful information” and Buhrmann was able to configure their own dashboard.

In the last 7 months, these connected and online machines have generated a clearer picture of what is needed to perfectly match with customer timeline. It has become much easier to predict maintenance, plan spare parts, foresee failure modes and also to ensure customer billing is transparent. In this period enough information has been gathered to start to build the 3rd Step: “reason with the information and establish rules to trigger actions”. In recent weeks Buhrmann Pressure have created automated messaging from the MEUNGO platform to a specific user or user group when the mobile machines are started or stopped. This is only the beginning of this chapter to bring the real-time context of the machines into smarter tasks.

Bas Buhrmann adds, "I am not an IT or automation person, but the MEUNGO platform and customer support is exactly what I need. I can create the dashboards I need and now set up the rules to get real-time messages, without needing help from MEUNGO or external IT people. I feel in control and fully supported, which allows me to focus on my customers and keeping the rental fleet in optimal condition and availability. My next aim is to use the historical data to optimize fuel consumption which could save my customers up to 50% in fuel and help the environment".

For more details on how this case developed or to explore your application further, feel free to contact us for a scan or free trial

Transforming real-time data into actionable insights today

The future of the Internet Of Things

The Internet Of Things is a means to an end, and the more people we can invite into that, the easier we can make it to get to that end.

The real meat of the Internet Of Things is not the coding, it isn’t the connecting, it isn’t the dashboards. At the end of the day it’s what you’re building and the effect it has on the persons you are building it for. The Internet Of Thing is an amazing act, it’s challenging and complex, but in some ways, it can be a barrier. And what we’re interested in is the future being less about devices, connecting and coding. We think the future of the Internet Of Things is not about technology at all, we think low-code Internet Of Things is the future.

Low-code is a way to design and develop software fast and with minimal coding. It enables skilled people to deliver value more quickly and more reliably. Low-code is about getting more done in less time. Low-code, is a trend in general, it is about connecting the dots without creating the dots. We believe the Internet Of Things requires to be its own dot in the low-code community.

Low-code Internet Of Things

The Internet Of Things can be complex and requires a lot of things to be right. It involves sensors, embedded software, communication protocols, back-ends listening to devices, security, integrations with external systems, analytics, front ends for configuration, verification and communication of results and so on. One of the reasons there seems to be so many IOT platforms is because they all serve, rightfully so, a part of the puzzle that needs to be solved.

We believe that low-code Internet Of Things will be the tool that will allow you, as an owner of devices, create value for your customers. We at MEUNGO provide a low code device management software as a service which allows you to manage your own devices, users, dashboards and actions.

How to visualize your Sigfox devices?

Track assets where they are and what they do using a smart Sigfox sensor

Monitor water usage using a smart LORA flow meter

Combine Sigfox, LORA and many more sensors into a single dashboard

In this blog we explain what is required to connect and aggregate data of your devices and start creating visualizations. At the end we describe how you can start connecting your devices using the MEUNGO platform.

Sigfox is a communication provider which provides global, simple, cost-effective, and energy-efficient solutions to power the Internet of Things. Already today, there are many different sensors which use Sigfox for communication. There are sensors for monitoring buildings, environmental conditions, temperature, smart tracking of assets, buttons, smart parking and many more.

MEUNGO allows you to aggregate all your devices in one application, quickly build dashboards, build rules that listen and react to the data as it is coming in. You can manage your users and who can edit and view your dashboards.


  • One or more Sigfox devices with access to the Sigfox back-end. The device manufacturer, re-seller or Sigfox is the one that can provide you with access to this back-end.
  • Access to the MEUNGO platform

Once you purchased your device and are able to find your devices in the Sigfox back-end you are ready to go to the next steps. For any data source (technically we consider the Sigfox device a data source) you will have to tell the platform:

  • What data is collected, attributes such as temperature, humidity and location
  • Where the data is coming from, the connectivity in this case Sigfox
  • How the messages should be translated, how to translate the incoming payload. Easy to use converters are embedded in the platform
The general page of the data source definition

Once you have finished these three steps you are ready to define a device type in the MEUNGO platform. A device type will aggregate one or more data sources together. If you have for example a machine composed of many sensors you can model it as one device type.

The general page of the device type definition

Here you will define:

  • What data you want to associate with this device type and if it comes from a data source or if the user sets it
  • Rules you would like to be applied, this can be simple logical expression or complex algorithms triggering alerts, e-mails or other IT-systems
  • How long you will store the data, in this case 52 weeks
  • Security settings, what certificate to use if third party applications would like to have direct secure access to your data


Definition of temperature for the device, the temperature is sourced from the temperature attribute of the data source

Next you have to tell your Sigfox back end to forward the data to MEUNGO. For this you will have to login to the Sigfox back end and define a callback function. This callback function will forward the data to an address provided by MEUNGO.

Now you are ready to connect, collect, react and create dashboard for the devices you have.


A dashboard is an interactive visual representation of the collected data, it can be a snapshot of the latest received information or it can be dynamic and update while information is coming in. The MEUNGO platform allows you to manage organisations, users, devices, data, rules and dashboards:

  • You can create dashboards using any combination of devices your organisation has access to
  • You can share dashboards with any subset of users in your organisation
  • You can look at multiple different type of devices at the same time in one or more visual components, this allows for easy comparison and visual verification

Connecting, collecting and visualizing your devices is the starting point to become a high-performance data driven organisation.

You can start today connecting your devices.

Evaluation licences to the MEUNGO platform are available, contact us and we can get you up and running on the same day.