Metris DiOMera
Metris DiOMera is ANDRITZ's modular operation and maintenance platform for hydropower plants. It historises sensor data, applies machine learning to spot component drift early, and turns it into diagnostics, maintenance recommendations and outage planning.
What is Metris DiOMera?
Metris DiOMera is a modular operation and maintenance platform for hydropower plants, published by ANDRITZ under its Metris digital solutions brand and owned by the ANDRITZ Hydro business. Its purpose is decision guidance: telling an operator what to maintain, when, and to what extent, so that availability is maximised and operating expenditure stays under control.
The mechanism is straightforward. Hundreds of sensors installed on the generating units feed a continuous stream of readings that is historised and analysed by machine learning algorithms. From that stream the platform produces what ANDRITZ calls a real-time, risk-based fingerprint of the asset, flagging a change in a component's behaviour well before it turns into a failure, and quantifying residual lifetime alongside the risk of breakdown.
Functionally the platform is a set of interfaced modules. ASSESS supports and objectifies visual inspections in the plant. INTEL detects abnormal behaviour and estimates component ageing live. CMMS digitalises maintenance activity and can plug into a maintenance management system the plant already runs, centralising information and work order handling. OPT optimises operation against the production plan and lifecycle constraints. Monitoring extends to site-specific conditions such as seasonal sediment load and cavitation.
Commercially the platform is sold in three levels. Level 1 covers safe, cost-efficient operation within prescribed boundaries, with signal and trend monitoring, dashboards, reports and quantified indicators. Level 2 adds diagnostics and recommendations on operation, inspections and maintenance intervals, drawing on live data, trend analysis, machine experience and remote assistance. Level 3 is the predictive tier, built on failure risk and residual lifetime assessment. Remote supervision and expert support are offered at agreed service levels through a secure data connection.
It is delivered as a service rather than installed and abandoned, and the vendor states it is enriched continuously by experience gathered across the installed base. The service brochure puts that base at more than 22 GW of hydropower assets and over 260 units ranging from 0.8 to 344 MW. Data can sit on local servers, remote servers or in the cloud, and the interface is reachable remotely, including from mobile devices, with offline analysis possible when a permanent connection is not available.
What it does
- Monitor signals, trends and key performance indicators across generating units in real time
- Detect abnormal behaviour and estimate component ageing before a failure occurs
- Recommend maintenance, repair and inspection intervals from live data and machine experience
- Assess risk of failure and residual lifetime to support repair-or-run decisions
- Digitalise and objectify visual inspections carried out in the powerhouse
- Optimise plant operation against production planning and lifecycle constraints
- Feed a pre-existing computerised maintenance management system with data-driven work orders
When to use Metris DiOMera / When not to
A quick filter to help you decide if Metris DiOMera is the right fit.
When to use Metris DiOMera
- Hydropower plant owners and operators moving from preventive to predictive maintenance
- Maintenance and reliability engineers accountable for turbine, generator and transformer condition
- Outage and inspection planners who must decide when a runner is worth refurbishing
- Operators of plants exposed to heavy sediment load, cavitation or accelerated wear
- Multi-unit fleet operators wanting one risk-based view across several powerhouses
When not to use Metris DiOMera
- Buyers who need a published price before opening a conversation, since everything runs through a quote
- Teams expecting self-service sign-up, a permanent free plan or an online trial
- Plants without enough instrumentation or unit data to feed the models
- Organisations outside hydropower and other energy-producing assets
- Developers looking for a documented public API to build their own tooling on
How to use Metris DiOMera
A typical end-to-end flow, from setup to results.
- Identify the units and the failure modes you want covered, since the platform is scoped per site
- Contact ANDRITZ Hydro through the dedicated Metris DiOMera inquiry form or by email; there is no self-service sign-up
- Discuss which of the three optimisation levels matches your ambition and budget
- Select the modules you need among inspection support, anomaly detection, maintenance digitalisation and operation optimisation
- Agree the commercial vehicle, typically a long-term or master service agreement
- Instrument the units and make sure enough historical unit data exists to feed the models
- Decide where the data will live: local servers, remote servers or the cloud
- Connect the platform to your existing maintenance management system if you run one
- Use dashboards, reports and indicators day to day, and act on the diagnostics and interval recommendations
- Escalate to ANDRITZ experts for remote assistance, planned inspections or unplanned troubleshooting
Pros & Cons
Pros
- Built by the manufacturer of the machines it watches, so the diagnostics rest on real equipment knowledge
- Genuinely modular: three service levels and separate modules let you buy only what the site needs
- Named, checkable references, including a British Columbia plant running it since 2016 and an early fault caught nine months ahead in Peru
- Substantial installed base cited for the product itself: over 22 GW and more than 260 units from 0.8 to 344 MW
- Designed to plug into an existing maintenance management system rather than becoming another silo
- Hosting left to the customer, whether on local servers, remote servers or in the cloud
- Human expertise bundled in, with remote assistance for planned inspections and unplanned troubleshooting
Cons
- No public pricing whatsoever: no figures, no tiers, not even an order of magnitude
- No free plan, no trial and no product demonstration; the only video promotes the Metris brand rather than the tool
- No public API documentation and no API claimed, which limits what you can build around it
- No named third-party integrations are published, only the generic category of maintenance management systems
- No hosting country or region is committed to, and no data processing agreement or subprocessor list is published
- The privacy declaration and terms cover the corporate website, not the industrial data the platform handles
- The product page sits deep inside a very large group website and is hard to reach by navigation
Pricing & Plans
No price is published for Metris DiOMera. The site carries no pricing page, states no starting amount and offers neither a permanent free plan nor a free trial. The platform is sold on a quotation basis: the entry point is a dedicated inquiry form, and the commercial vehicles described in the service documentation are long-term service agreements and master service agreements. Those agreements mention preferential rates for technical and engineering services, a possible annual discount linked to purchase volume and pre-agreed terms and conditions, but no monetary value is attached to any of them. Prospective buyers should expect a scoped quotation based on the number of units, the instrumentation in place and the optimisation level chosen.
Data, GDPR & hosting
A consolidated view of how Metris DiOMera handles your data.
GDPR overview
The data privacy declaration is explicitly placed under the EU General Data Protection Regulation and names concrete mechanisms: a dedicated contact at dataprotection@andritz.com or by post to ANDRITZ AG in Graz, an enumerated set of rights (access, rectification, erasure, restriction, objection, portability, withdrawal of consent), a data subject request form, the right to complain to a supervisory authority, legal bases cited article by article, a separate cookies policy with settings to reject non-essential cookies, and a rule that personal data is not transferred outside the EU or EEA unless necessary and then only under binding corporate rules or standard contractual clauses. As the publisher is established in Austria, no Article 27 representative is required. Note the limit: this document covers the website, not the industrial data DiOMera handles, and no product data processing agreement is published.
Who owns the data?
The site publishes no ownership clause for the operating data DiOMera collects. The terms of use and the data privacy declaration on andritz.com govern the website and the personal data of visitors, customers, suppliers and applicants; they say nothing about who owns plant sensor readings, diagnostics or reports. The only product-level statement, taken from the service brochure, is that the collected data can be tailored to each client's requirements, may sit on local servers, remote servers or in the cloud, and that access is restricted to authorised personnel. Ownership and reuse rights are therefore left to the individual service contract and should be settled in writing before signing.
Reuse rights
Nothing on the site grants or restricts an end user's right to reuse the operating data and reports produced by the platform, because no product terms are published at all. For personal data, the group declaration is explicit: ANDRITZ processes it to answer enquiries, issue offers and manage customer, supplier and recruitment relationships, may share it with other ANDRITZ companies and with business partners or service providers under data protection safeguards, and states that it neither sells nor rents personal data to non-affiliated third parties for their own promotional purposes. No use of customer data to train AI models is mentioned anywhere. For plant data, reuse rights depend entirely on the negotiated contract.
Data retention & training
Hosting summary
Hosting is deliberately flexible and correspondingly unspecified. The service brochure states that the data collected, stored and analysed can be tailored to each client's requirements and may sit on local servers, on remote servers or in the cloud, with access restricted to authorised personnel. No hosting country or region is named anywhere on the site, which is why no jurisdiction can be recorded for this tool. A separate rule exists for personal data: the group privacy declaration says personal data is generally not transmitted to recipients outside the European Union or the European Economic Area unless required, and that such transfers are then covered by binding corporate rules or standard contractual clauses. That commitment concerns website and business contact data, and should not be read as a guarantee that plant operating data stays in Europe. The website itself resolves to a server located in Austria, which says nothing about where customer data is processed. Anyone with a data residency requirement should have it written into the service agreement.
Things to keep in mind
Risks and trade-offs to weigh before adopting Metris DiOMera.
- Almost everything published on andritz.com describes the ANDRITZ group, not this software: do not read corporate scale, certifications or financial results as properties of the platform
- The terms of use and privacy declaration govern the website; no product terms cover the plant data the platform ingests, so ownership and reuse must be settled in the contract
- No hosting country or region is committed to, no data processing agreement is published and no subprocessor list exists, which matters for a critical energy asset
- Cybersecurity and asset management standards mentioned in the brochure apply to ANDRITZ operations, not to the software as a certified product
- Predictive output can breed complacency: automated indicators are a decision aid, and dropping physical inspection because a dashboard looks green is the classic failure mode
- Deep dependence on a single vendor that is also the equipment manufacturer makes exit costly, so plan for data portability from the start
- The inquiry form routes to a named individual rather than a functional address, so your contact point may change without notice
Setup & Integrations
Technical difficulty
Substantial, and industrial rather than software-grade. The units must carry the right instrumentation, readings have to be historised, and the vendor is explicit that integrating existing systems requires sufficient unit data. Connecting a pre-existing maintenance management system adds further work. There is no self-service installation and no online trial. Against that, deployment is accompanied by ANDRITZ Hydro teams with remote and on-site support, and one published Canadian case is described as a digitally light solution achieved with minimal commitment, so the entry scope can be kept modest.
Deployment
Behind Metris DiOMera
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What is Metris DiOMera?
Which assets does it cover?
Does it actually use artificial intelligence?
What are the three levels?
How much does it cost?
Is there an API?
Is there a mobile app?
Where is the data hosted?
Can it work with the maintenance system we already use?
How do I get in touch?
Should you pick Metris DiOMera?
Metris DiOMera is a credible, narrowly aimed industrial tool rather than a general-purpose AI product, and it should be judged on that basis. Within hydropower operation and maintenance it is unusually well supported: the vendor also built the machines being monitored, the modules map onto real plant activities, and the published references are specific enough to be checked, from a Canadian plant that has run it since 2016 to a Peruvian turbine fault caught nine months before it would have forced a shutdown. The three-level structure is a genuine strength, since a site can start with monitoring and reporting and move to predictive maintenance later.
The weaknesses are commercial transparency rather than capability. Nothing about the price is public, there is no trial, no demonstration and no self-service entry point, so evaluating the platform means engaging a sales conversation from the first step. The legal position is thinner still: the terms and privacy declaration on the site govern the corporate website, not the industrial data the platform ingests, and no product data processing agreement, subprocessor list or hosting commitment is published. Data ownership and reuse rights will have to be settled in the contract, which is normal for this kind of purchase but worth planning for.
It suits an operator who already has instrumented units, enough historical data to feed the models and an appetite for a long-term service relationship rather than a subscription. Anyone wanting to try software before talking to a salesperson, or needing a documented API to build on, should look elsewhere. For everyone else in hydropower, it is a serious candidate that deserves a scoped quotation.
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