Remote monitoring & Machine learning

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The MOVUS machine learning algorithms learn the "Steady" state of your equipment.

Knowing the rate of change from a machine's steady-state, reveals information that is important to estimate the time to failure.

Machine learning determines what is "Normal" and what is "Abnormal".

The initial learning period identifies the "Steady State" of the equipment being monitored. Anomalies are detected when conditions move outside the steady state.

Understanding anomalies and the rate at which they migrate from the normal state is key to predictive analytics.

As anomalies appears, trigger points and alarms are launched.

Innovation through the Internet of Things

MOVUS is a provider of industrial Internet of Things solutions. We build industry vertical solutions, using sensors, cloud-based analytics and specialist partners. Enabling you to make smart asset decisions.

Collect

Get the data you need to make smart asset decisions.

Simplify & Learn

Use our machine learning algorithms to better understand your data.

Insights

Gain valuable insights. Your team can work smarter. Your assets can work harder.

Act

Be empowered and empower your team. Know you’re taking the right action.

News

 

Mar 2017

(Not so) mean machines. Brisbane’s Brad Parsons gets the most from industrial equipment

  Did you know there are 2.6 billion electric motors in the world using 43% of the planet’s electricity? See full article at: https://medium.com/advance-queensland/brad-parsons-5704eda65364#.xjjolq33h ...

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\n

Did you know there are 2.6 billion electric motors in the world using 43% of the planet’s electricity?

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See full article at:

\n

\n https://medium.com/advance-queensland/brad-parsons-5704eda65364#.xjjolq33h\n     

\n

Brad Parsons does and he realised if these motors or machines aren’t functioning efficiently, there\n is an instant and huge impact on the world’s precious resources.

\n

“We want to change the way industries operate,” Brad says.\n
\n

\n
\n
\n

So the 47 year old father of two founded MOVUS, to develop FitMachine®:\n the ‘FitBit® for Industrial Equipment’ to continuously monitor machine health and predict failures, before they happen.

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FitMachine is a sensor, cloud and artificial intelligence solution, made and invented in\n Brisbane.

\n

It measures motor vibration, temperature and noise to give operators an instant online health assessment and real time diagnostic data of their\n machinery.

\n

“It sounds ambitious and grandiose but if we can monitor machines 24/7 and predictively detect failures then we can change the life cycle of machines.”

\n

Quitting his job two years ago and starting industrial solutions company MOVUS, Brad and his team launched\n FitMachine in 2016.

\n \n

Built for use across all industries the FitMachine technology is designed to check the operating\n efficiency of all motors and machines, which often need weekly or monthly checking by an engineer in remote, dangerous or unpleasant places.

\n

Recently FitMachine sensors were installed on sewage systems at Brisbane Airport to monitor\n the efficiency of pumps taking sewage from aeroplanes. Work previously done by committed engineers can now be done from the comfort of their\n desks.

\n

“No one wants to go in there,” Brad says.

\n

“You don’t want to put humans in that situation, so the FitMachine sensor can monitor it.\n It is able to instantly tell us if there is a problem.”

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https://www.iothub.com.au/news/movus-wants-to-simplify-industrial-iot-410708.

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Feb 2017

IOT is old, meet AIOT

MOVUS present at the Industrial IOT Summit, the event is sponsored by the giants of industry, GE, Schneider, Bosch etc.

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\n

Next month I have been asked to present at the Industrial IOT Summit, the event is sponsored by the giants\n of industry, GE, Schneider, Bosch etc. As I sit here writing my presentation, I'm reflecting on the phenomena that is the Industrial IOT. Firstly,\n why the fuss? Sensors have been around for decades in industry. Many may be wondering what all the fuss is about. Isn't IOT really about RTU's, PLC's,\n IMU's (and other 3 letter acronyms?). Well yes,.... and no.... Let me explain.

\n

We've seen huge advancements in consumer technologies over the last 15 years, driven by the internet, mobile phones, telecoms, cloud etc. The underlying\n technologies that drove the consumer era are now creating huge opportunities across industry. We can now apply extremely powerful (but low cost) sensors,\n transmit massive data, store it in the cloud and analyse it with Artificial Intelligence (AI). The opportunity now is to have machines analysing machines.

\n

Sensing conditions such as temperature, vibration, humidity etc is really just measuring, it is a value (at a point in time). When analysed by\n a human, context is added. Measure + context = meaning. For example, if a machine temperature is 50 degrees, is this good or bad? Well, it\n depends on the context, without context, it's impossible to answer, we need to know what's normal, from there we need to understand is this figure\n rising or falling, if so, how quickly? etc. (You get the idea.) At present it seems most IOT vendors are so focused on the measures, they miss the\n meaning. Decisions are made on meaning, not measures.

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Unless you've have been hiding under a rock, you will note the massive predictions of billions of sensors being connected to the internet. The general\n consensus is that for every human (we now have 7B), there will be around 7 IOT devices (or ~50B). So who exactly is going to provide all of this meaning ? Well, unless we start to employ every man, woman and child ...

\n

So the question remains ? At MOVUS, we've thought a great deal about this and as a result we've developed an IOT\n Value Model. We see four key stages of value creation. Firstly Visibility (where is my asset?), Utilisation (is it operating or not?), Availability\n (how healthy is it?) and finally Life Cycle Cost (purchase price+maintenance cost+energy+disposal). Visibility and utilisation are fairly straight\n forward. However, these are the low hanging fruit, the real value is in availability and life cycle cost. No surprises, energy is typically 50-60%\n and maintenance is 25-40% of the costs of a machine. This is where it's gets interesting. Imagine when purchasing your new pump, if you knew the meantime\n to failure for that pump (measured not estimate), or you knew the expected failure modes or you could compare the total life cycle costs (purchase\n price, average energy costs, average maintenance costs and disposal costs) between makes and models? Would purchase price be so important anymore?

\n

Maintenance practices have largely remained the same for decades. Simplified, run until it breaks (then repair/replace), inspect periodically (repair/replace),\n replace ahead of expected failure and for a small amount of cases (<5%), put a expensive array of sensors to capture every detail about the machine.\n The first three cases require humans, the last, uses lots of instrumentation. So where does IOT come in?

\n

If we are to achieve the value of the IOT revolution, then mankind cannot be the bottleneck, in providing meaning to measure. In achieving\n the real power and value of the IOT, we need artificial intelligence systems that analyse, predict and ideally learn. At MOVUS we've building such a device (the FitMachine - yes we have the trademark). With our device installed, technicians don't climb on rooftops or down pipes\n filled with sewerage (nasty!) just to inspect machinery.

\n

The real value of IOT isn't in the measuring, it is in the ability to make more informed decisions. For value to be achieved then decisions need to be\n made. To reduce the total cost of your assets then I believe AI is the only way forward if we are to adopt these technologies on a global scale. The\n benefits that flow will be improved safety, reduced risk, reduced cost and our machines will be operating longer. Oh!, and the most important benefit,\n people who feel empowered with better information to make far more informed decisions (which they didn't have to climb down a sewer pipe to get). :)

\n

NOTE: If you are at the summit, come and say hi, mention this article, we'll give you a FREE trial of our FitMachine for a couple of months.

\n

Brad Parsons is CEO and Founder of MOVUS, are building the FitMachine - 'A Fitbit for Industrial Machines'.\n Find more information at www.movus.com.au

\n

*FitMachine is a trademark of MOVUS ** Fitbit is a trademark of Fitbit.com

\n

 

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Dec 2016

Aussie startup creates a 'Fitbit for industry'

The Fit Machine is an Internet of Things device that can alert businesses to problems with their machinery remotely.

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\n

Since the industrial revolution, weekly or monthly manual inspections of on mechanical equipment have been a fact of life for businesses in a number\n of industries. Skilled engineers in sectors such as mining, manufacturing, construction and other heavy asset industries diagnose malfunctioning\n plant and equipment by observing changes in noise, temperature or vibrations.

\n

However, manual inspections can be costly and time consuming, and a lot can go wrong between inspections.

\n

A Brisbane-based startup called Movus is looking to solve the issues with an end-to-end solution that integrates\n sensors, cloud-based machine learning powered by\n
Amazon Web Services, and an analytics dashboard for end users.

\n

The decision to create the system was based on first-hand knowledge of the Movus team, which boasts a combined 150 years’ experience across a range\n of heavy asset industries.

\n

“What we noticed was there’s a distinct gap in knowledge between the decision makers and what’s happening with machinery – decisions are being made\n with a complete lack of knowledge around the location, health and utilisation of machinery,” Movus CEO and founder Brad Parsons told BIT.

\n

“What we decided to do was attack that problem by building a sensor that can track machine health information in real time to turn that industry around\n from a practice that has happened for 100 years where inspections are done [on location] once a month or once a year.”

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How the device works

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To solve the problem Movus began developing the product, which it calls the Fit Machine, in January of this year. The system is able to detect the\n location, utilisation and condition health of machinery to pick up failures before a machine fails and let the customer know.

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“We’re currently detecting vibration, temperature and noise. As any mechanical engineer will tell you, by focusing on those three metrics we can cover\n many of the failure modes of the machine,” Parsons said.

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“If an engineer walks up to a machine and listens to it, they can typically know if it’s failing – if they walk past it often enough they can tell\n straight away. A lot of detection technologies use vibration, and the third spectrum is temperature.

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“By using those three and passing them through our machine learning algorithms, we can detect a failure. If it’s vibrating more, the temperature is\n rising, or there’s a particular noise that’s a deviation from what it’s learnt, we can alert customers that the machine may need further inspection\n or repair.”

\n

Parsons said the product is intended as an end-to-end solution that will be offered to customers as a bundled service.

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“We’ve developed a sensor that transmits via WiFi or Bluetooth to a gateway unit. We can get up to 100 devices back to one gateway. It then sends to\n the cloud via Telstra’s 3G/4G mobile network, and then we have a cloud solution on Amazon, which is fully scalable,” Parsons said.

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“Once the sensor is installed, it takes seven to 10 days for it to learn the current health of that machine – what is the current state of the machine.\n And once we have that baseline, what we can detect if there is a failure of the machine a week, a month or a year later.

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“The user is presented with a dashboard, which is part of our key IP. It streamlines the decision-making process by giving them two key metrics.”

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How it was developed

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Movus is a graduate of the University of Queensland’s Germinate accelerator program,\n and occupies what Parsons describes as a “growing footprint” in the ilab innovation hub.

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“We’re based out of Brisbane. We went through UQ’s innovation program and they’re a shareholder in our business. We operate out of their innovation\n lab, which is known as ilab, which is fantastic because it gives us access to the best and brightest UQ has to offer,” Parsons said.

\n

“We walked in with a concept, but myself and my business partners had come in from big asset industries where we’re running teams of 30 or 40 with\n $10 million of budget. But what we didn’t appreciate is how to build a tech startup from the ground up.

\n

“Through ilab we were able to gain access to mentors that have been through the process and know the challenges we face. We were able to adopt that.”

\n

Having completed the program, the Movus team has iterated through three or four versions of its product, and have been testing their minimum viable\n product in the market for around six months.

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“It’s been two different use cases. One is water and sewer, and the other is industrial chillers. We conducted alpha trials with [water and sewer at]\n Queensland Urban Utilities – a water utility in Southeast Queensland – and we’ve been working through beta trials [on industrial chillers] with\n the University of Queensland,” Parsons said.

\n

“We’ve had quite a lot of interest but we’ve held back as we’ve held back, but we have six trials with large industrial businesses starting in January\n and February of next year, and that will broaden the use cases and development.

\n

“So we have [a minimum viable product] but we’re not actively selling that, we’re broadening our use cases to increase the value proposition before\n we actively market it.”

\n

How it's being funded

\n

To give it the funds to grow, Movus is looking to go through a series A raise early next year, and is currently focusing on developing new use cases\n ahead of a public launch next year.

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“From what we can tell, we’re fairly unique, and that’s an opportunity and a challenge. Traditional methods have been out there for such a long time\n and we’re disrupting that space,” Parsons said.

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“We’re in education mode between now and then, but second half of next year we’ll have it broadly available. You’ll be able to order and install them\n yourself, have the dashboard ready, and the involvement from us is minimal, so the scalability is dramatic.”

\n

Ahead of the raise, Movus was one of 12 startups selected for KPMG’s Energise energy and natural resources\n (ENR) accelerator program, which kicked off at the end of November.

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Unlike other accelerators, the program is focused on late stage early seed funding. Parsons said startups need a different discipline to roll from\n seed into growth phase, and that’s something KPMG’s program assists with.

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“In the KPMG program, there’s a lot of groups with synergies we think we can partner with. There are groups in data analytics, there’s a group working\n on blockchain and we think there could be opportunities to work with them to integrate that into our service,” he said.

\n

“What we’ve noticed is there are opportunities for collaboration. The teams that KPMG have assembled are highly complementary, and at the same time\n we’re not stepping on each other’s toes. So the big benefit from the program will be learning from other teams at a similar stage of development.

\n

“The Energise program is running this year in Brisbane and Perth, which is fantastic given the focus is on mining and resources.”

\n

 

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Read more: http://www.bit.com.au/Guide/444634,aussie-startup-creates-a-fitbit-for-industry.aspx#ixzz4TG0hfmjX\n

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Source: \n \n
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Dec 2016

Energise again

MOVUS has been selected to be part of the Energise program, a 12-week energy and natural resources accelerator program run by KPMG Australia.

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Source: \"Australia's

\n

\n

A BIG data player, the developer of a fleet management software suite and a mining industry safety system creator are among the 12 companies taking\n part in the next Energise program

\n
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\n

Energise is a 12-week energy and natural resources accelerator program run by KPMG Australia. It will conclude in early 2017.

\n

Start-ups entering Energise get access to a mentor panel that includes expertise from international and local entrepreneurs and innovation specialists.

\n

KMPG Australia also provides support to the Energise start-ups in areas such as company set-up, product development and market insight.

\n

The program is supported by major natural resources companies including South32, Wesfarmers Chemicals Energy & Fertilisers, Woodside and Chevron Australia.

\n

Due to the Australia-wide increase in applications this year seven companies will be based in Perth and, for the first time, five will take part in Brisbane.

\n

Energise program director Ashley Brown said the scale of the success of last year’s participants showed the opportunities for start-ups to solve some of\n the sector’s major problems.

\n

“This time we are continuing the journey by focusing on supporting both start-ups and our corporate partners on how to make innovation a reality,” he said.

\n

“For both sides of the equation it’s a win-win situation and we expect to see some really exciting new technology and approaches brought to life during\n Energise.”

\n

This year Energise will culminate with a graduation night where each start-up will pitch to investors, industry partners and guests with awards on offer\n for the strongest start-ups on the night.

\n

Last year eight start-ups secured more than $450,000 worth of contracts and pilots within 12 weeks of starting the program.

\n

KPMG WA chairman Gary Smith said the company had been overwhelmed by the quality of applicants.

\n

“We’ve selected the Energise cohort based on feedback from our corporate partners and other experts on how new ideas and technologies can help tackle the\n industry’s productivity, efficiency and innovation challenges,” he said.

\n

“Energise is about bridging the innovation gap between start-ups and industry – and we believe we can build upon last year’s success and bring fresh thinking\n to established players, while similarly paving the way for start-ups to work with major enterprises within the sector.”

\n

The enterprises joining Energise in Brisbane are:

\n
    \n
  • Encoin, which is using blockchain technology to accelerate the adoption of renewable energy. Encoin is an energy token – a cryptocurrency – that rewards\n distributed energy generation and storage;
  • \n
  • High performance battery system designer Energetique. Its battery system is designed to deliver next generation motive technologies and leading edge\n Internet-of-Things connectivity to primary industries, military, utilities and government;
  • \n
  • MOVUS, which created the FitMachine that allows continuous monitoring of equipment without the need for remote inspections;
  • \n
  • Ozius Spatial, which has created environmental monitoring and land management decision support tool Naxia; and
  • \n
  • Petra Data Science, which extracts value from mining data assets using machine learning, data science and visualisation to develop easy to implement\n analytics and prediction solutions.
  • \n
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In Perth the Energise players are:

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    \n
  • GotSkill creator Artes Global Group. GotSkill is an online platform where skilled workers manage their verified skills and connect with employers,\n recruiters and trainers;
  • \n
  • Clearview Well Services, which has developed a multifunction tool for surveying and cleaning oil and gas wells and associated equipment in well production\n and performance;
  • \n
  • EPC Technologies, which provides products and services focusing on clean energy optimisation and monetisation;
  • \n
  • Fleet Engineering, which has developed a software suite for managing fleets of assets, field staff and jobs to help fleet managers and dispatchers\n understand and improve performance in those areas;
  • \n
  • Safescape, which provides solutions to the minerals sector including Edge Protector, a system for improved edge protection in open cut mines;
  • \n
  • Safety knowledge retention specialist Tap into Safety. It uses a patented methodology that is underpinned by 10 years of university research to improve\n safety knowledge retention by 90%; and
  • \n
  • Transpiro, which provides a patented service using plant transpiration to detect chemicals in the ground.
  • \n
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Other related articles:
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http://www.businessinsider.com.au/the-12-australian-energy-and-resoruces-startups-selected-for-the-energise-accelerator-program-2016-11\n

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http://www.dynamicbusiness.com.au/start-up-entrepreneur/a-dozen-start-ups-join-kpmg-accelerator.html\n

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