Author: David Nordin

  • Technical Debt in Technical Facilities: The Hidden Cost of Digitalisation

    Technical Debt in Technical Facilities: The Hidden Cost of Digitalisation

    TL;DR

    The effect

    A future-proof facility where lifecycle costs (LCC) are lowered and ROI on digitalisation is maximised. High interoperability creates a scalable digital infrastructure that makes you independent of individual suppliers.

    The challenge

    Technical facilities are drained of value when short-term choices create isolated silos. This technical debt leads to costly vendor lock-in, security gaps in legacy systems and data that is impossible to use for analytics.

    The solution

    Establishing genuine system ownership through strategic requirements management and information modelling. By paying down the debt, focus shifts from merely “keeping systems running” to actually developing the business.

    Many facility owners and industrial operators believe they are investing in the future when they purchase new digital systems. But without a coherent strategy, you risk doing the opposite: building up technical debt that makes future innovation both more expensive and more difficult. Here we explain what technical debt means in a technical facility and how you start paying it down.

    What Is Technical Debt?

    The term “technical debt” describes what happens when you choose a quick, short-term solution over a well-structured approach. In industrial and building automation, this interest is paid in the form of expensive custom integrations, isolated data and systems that cannot communicate with each other – dramatically lowering your ROI on digitalisation.

    Every time a shortcut is taken in a project, a new technical loan is taken out with high interest that future operations and asset management will be forced to pay.

    It is important to distinguish deferred maintenance (not fixing what is broken) from technical debt. Technical debt arises when deliberate or unconscious architectural compromises are made – such as skipping a shared naming standard or accepting a closed integration – to achieve a short-term project goal. The price paid is reduced digital freedom of action.

    Three Ways Technical Debt Arises in Your Facility

    1. Structural Debt (Lack of Standards)

    When different contractors are allowed to name objects and assets according to their own arbitrary systems, a debt arises that directly affects data governance. Without shared information modelling such as IEC/ISO 81346, your data becomes “dirty” and unusable for overall analytics. The interest: when you later want to introduce a digital twin or overall analytics tool, you must spend 80% of the budget on manually cleaning and remapping old data.

    2. Architectural Debt (Silos and Point Integrations)

    Solving specific problems with isolated apps instead of a well-thought-out API strategy creates a “spaghetti architecture”. Every new special solution reduces your interoperability – the ability of different systems to actually exchange information seamlessly. The interest: your IT environment becomes a spaghetti architecture where an update in one system risks bringing down three others, and nobody has the overall picture of how data flows.

    3. Operational Debt – Lifecycle Debt

    Installing a modern BMS system without a plan for how its network is to be managed – for example by the IT department – creates an enormous security debt. Retaining outdated legacy systems without an IT convergence plan is like driving a car that is never serviced. It drives up your lifecycle cost (LCC).

    Requirements Management: The Bridge Between Governance and Reality

    Many organisations have a strategic document for data governance that defines who should own what. But technical debt arises in the gap between these guidelines and the actual delivery in the project. This is where structured requirements management becomes decisive. You must not only “want” order; you must specify requirements for technical governance:

    • From ownership to requirements: If your strategy says you should have clear system ownership, requirements management must ensure the system is delivered with open APIs that enable this ownership in practice.
    • Quality assurance: Requirements management ensures the supplier delivers the metadata and information structures required to pay down the debt – not just a functioning physical component.

    Warning Signs That Your Facility Is Living on Borrowed Time

    • “We can’t get the data out”: You have masses of sensors, but nobody can answer how they connect in real time
    • Innovation standstill: You want to introduce AI-based energy optimisation, but consultants say “the prerequisites are missing”
    • Consultant dependency: Only one specific person at one specific supplier understands how the system is structured
    • High LCC: Maintenance costs for “keeping the lights on” are consuming the entire budget for new development
    • Expensive interoperability: A simple integration that should take a week takes three months due to closed protocols

    How to Start Paying It Down

    • Set technical standards: Decide which technical standards will apply in all future procurements. By requiring structure according to ISO/IEC 81346, you pay down structural debt from day one.
    • Build IT-ready networks: Ensure your building automation rests on a secure IT foundation. This removes security debt and enables safe integration.
    • Specify interoperability: Stop buying closed systems. Require open APIs and standardised information modelling in every new procurement to break vendor lock-in.
    • Establish data governance: Decide who owns the definition of your data. By following ISO/IEC 81346 you create a sustainable structure that survives individual system replacements.

    Technical debt is not an IT problem – it is a business risk. By starting to clean the digital foundations today and paying down your legacy systems, you ensure your facility is relevant and optimisable tomorrow.

    Can you afford to let technical debt grow in your facilities?

    Technical debt arises when information is allowed to become stuck in disciplinary silos. Every time a shortcut is taken in a project, a new technical loan is taken out with high interest that future operations and asset management will be forced to pay.

    In the role of technical owner’s representative and Owner’s Representative, HubMind supports you in establishing genuine system ownership, securing the right requirements and creating sustainable data governance for your technical facilities.

  • Weihenstephan Standards: The Common Language for Food and Beverage Producers

    Weihenstephan Standards: The Common Language for Food and Beverage Producers

    TL;DR

    The effect

    Guaranteed interoperability and “Plug-and-Produce” integration that lowers project costs and secures data flows from day one.

    The challenge

    Data locked in proprietary systems and expensive custom integrations where every machine supplier speaks its own “language”.

    The solution

    An information model that standardises how machines communicate with higher-level systems such as MES and ERP, independent of manufacturer.

    From Technical Chaos to Digital Order

    What are Weihenstephan Standards?

    In the food and beverage industry, a production line typically consists of machines from a dozen different suppliers. Getting these to communicate with a central business system has historically been Sisyphean work of custom code and fragile drivers. Weihenstephan Standards (WS) changes this by shifting focus from technical connection to semantic understanding.

    “Without a shared standard, the food producer becomes a hostage in their own production, locked to the supplier who wrote the last integration.”

    What Are Weihenstephan Standards?

    Weihenstephan Standards is a communication interface that defines what should be communicated and how data should be structured. Originally developed for breweries, it is today an industry standard for all food production and packaging. WS defines specific data models for over 20 different machine types (fillers, labelling machines, palletisers) – meaning “Operating State” always means the same thing, regardless of machine.

    The forthcoming version WS 3.0 will become an official Companion Specification for OPC UA, incorporating deep support for sustainability data (energy/water per unit) and cloud-based analytics readiness.

    Developed at the Technical University of Munich

    Weihenstephan Standards is not just a technical specification – it is a framework developed and maintained at the Technical University of Munich (TUM), Chair of Brewing and Beverage Technology. TUM has defined five industry-specific domains:

    • WS Pack – The dominant standard for packaging lines. Defines everything from fillers to labelling machines and palletisers.
    • WS Brew – The original model for brewery processes (brewhouse, filtration and storage).
    • WS Bake – Tailored for the bakery industry, focusing on ovens, dough mixers and cooling towers.
    • WS Food – Covers general food production and process equipment not covered by pack or brew.
    • WS Sweets – Specific models for machines in confectionery manufacturing.

    By working with these predefined domains, focus shifts from “how do we get the data?” to “what does the data actually mean?”. This is the core of digital freedom of action: having a uniform structure regardless of domain that makes the facility independent of individual machine suppliers’ software solutions.

    Proven Effect: Coca-Cola Hellenic

    Coca-Cola Hellenic, one of the world’s largest bottlers, faced the challenge that their factories were a “technical jungle” with machines from hundreds of different suppliers. To introduce a central system for measuring efficiency (OEE), they required that all machine suppliers support Weihenstephan Standards.

    By mandating WS as the standard, Coca-Cola could use one and the same “interpreter” for all machines, regardless of whether they came from Krones, Sidel or any other manufacturer. The result: a unified view across all their facilities and the ability to compare performance between different countries in a way that was previously impossible.

    An Open Standard Without Licence Fees

    Unlike many proprietary protocols, Weihenstephan Standards is an open standard. There are no expensive licence fees for using the information model. By basing your architecture on open standards, you ensure that the investment goes to actual value creation – not to annual software fees to a specific supplier.

    Practical Pointers

    • Specify early: Include requirements for WS compatibility already in the procurement phase for new machines
    • Take stock of current status: Map which machines already support the standard but where data is not being collected
    • Think lifecycle: See WS as insurance against future vendor lock-in

    How HubMind Helps You Take Control

    Own your data - not just your machines

    HubMind’s methodology is about creating digital freedom of action. By implementing frameworks such as Weihenstephan Standards, we build bridges between the technology on the floor and the decisions made in the boardroom. We help you structure the technology so that it can be owned and developed over time.

    Do you want control of your production data?

    Buying advanced production technology without specifying information structure requirements is like buying a car without an instrument panel – you move forward, but you have no control. HubMind helps you navigate the boundary between machine suppliers’ specifications and your own need for operational data. By implementing standards such as Weihenstephan Standards 3.0, we ensure you own the information – not the supplier.

  • Why Standardisation Is Critical for Digitalisation, Integration and Automation

    TL;DR

    Conclusion

    Standardisation is not an administrative obstacle but the engine that makes complex digitalisation possible in practice.

    The challenge

    Without shared standards, every project creates its own structures, leading to fragmented data and fragile integrations.

    The solution

    By using established frameworks such as IEC 81346 and IEC 81355, a shared information foundation is created that holds over time.

    The effect

    A “Digital Thread” – an unbroken chain of information that makes your facilities easy to understand, manage and develop further.

    Digitalisation as Everyday Reality – and Complexity

    Digitalisation, integration and automation are today no longer future issues. They are part of everyday life in building automation, BMS, industrial automation, energy systems, infrastructure and traditional IT environments. IT systems, OT systems, control systems, sensors and digital platforms are connected over IP-based networks and share data in real time.

    Standardisation is sometimes perceived as administrative or constraining. In practice it is the opposite.

    Technically, this is rarely the biggest obstacle. Most organisations can collect data, build integrations and automate processes. The challenge arises over time. Solutions that work well at commissioning gradually become difficult to understand, change and develop further. Documentation loses currency, integrations become fragile and dependence on specific individuals increases.

    The problem is rarely the technology itself. The problem is the lack of shared structures for how systems, information and documentation are organised.

    Standardisation as Enabler, Not Constraint

    Standardisation is sometimes perceived as administrative or constraining. In practice it is the opposite. Standardisation is what makes complex technical environments possible to understand, manage and develop over time.

    When digitalisation spans multiple technology domains, there is a need for shared principles: how a system is bounded, how objects are identified, how information is classified, how traceability is ensured when systems change. Without shared standards, every project and every supplier develops its own structure. The result is fragmentation, increased management costs and integration solutions that do not scale.

    Structure Before Technology Selection

    In many digitalisation and automation initiatives, the focus lands on technology selection. Platforms, protocols and products are analysed in detail, while questions about structure, classification, metadata and document management fall into the background. This leads to systems that are technically integrated but informationally fragmented. Documentation becomes hard to use. Data loses its context. Every change requires extensive analysis.

    Standardisation in this context is not about controlling the technology, but about creating a shared information foundation that makes the technology usable over time.

    IEC 61355 and IEC 81355 as the Foundation for Documents and Information

    IEC 61355 has long been an established standard for the classification of technical documentation. IEC 81355 builds on the same basic principles but is better suited for digital information management and complex system environments. It provides clearer support for how information can be structured so that it is usable over time, regardless of technology domain. In practice, many organisations today manage existing facilities according to IEC 61355 while new projects are based on IEC 81355 – requiring a conscious strategy for information management during change and further development.

    IEC 81346 and Stable System Identity

    While IEC 61355 and IEC 81355 focus on documentation and information classification, IEC 81346 addresses how technical systems are structured and identified. The standard describes how function, product and location can be distinguished and identified in a consistent manner. The purpose is to create stable identities that hold over time, even when systems are rebuilt, relocated or further developed.

    ISO Standards for Information Management

    Beyond the IEC standards, several ISO standards complement the picture:

    • ISO 82045 – How technical documentation should be identified, version-managed and exchanged in a controlled manner
    • ISO 15489 – Information management over the entire lifecycle; documentation as business information with clear responsibility and traceability
    • ISO 19650 – How information is organised, structured and shared over the lifecycle in built and technical environments (often associated with BIM)
    • ISO/IEC 11179 – Metadata and shared concept definitions; central to master data and ensuring different systems interpret information the same way

    Digital Thread Through the Lifecycle

    The concept of a digital thread describes how information is kept together throughout the entire lifecycle – from concept and design to installation, operation, change and decommissioning. A digital thread is not a product or platform. It arises when objects, documents and data have stable identities and clear relationships. Standards for structure, documentation and metadata are what makes the digital thread possible in practice.

    Master Data, Aliases and Tag Management

    In integrated IT, OT and automation environments, the same object often appears in several systems. Different names, tags and designations are used in parallel.

    Master data covers the fundamental definitions of objects, functions and properties that must be shared regardless of system. By separating an object’s identity from its presentation in different systems, alias and tag management becomes manageable. This is a structural question rather than a technical speciality, and it is decisive for traceability and long-term integration.

    Beyond standards for document structure and metadata, there are also frameworks that address lifecycle governance and management of technical assets. The ISO 55000 series describes how organisations should manage assets across the entire lifecycle, from planning to decommissioning. IEC 62890 focuses specifically on lifecycle management of systems and products, including modernisation and change over time.

    These standards complement the IEC and ISO standards for structure and information management by clarifying how information is used as a basis for decisions in operation, change and circular asset management.

    Digitalisation as an Enabler of Circular Asset Management

    When information follows the systems through their entire lifecycle, the view of technology and products changes as well. Systems and components become managed assets with a known history.

    At the point of change or decommissioning, there is then a basis for deciding what can be reused, upgraded or recycled. Circular asset management emerges as a consequence of structured information management, not as a separate sustainability initiative.

    Digitalisation without structure often leads to shorter lifespans and increased waste of resources. Digitalisation built on standards instead creates the conditions for circular flows.

    Common Reasons It Does Not Hold Over Time

    Despite good intentions, standardisation is often introduced late, when the systems are already built. Focus lands on technical integration while information structure and responsibility are left unclear. Suppliers are allowed to use their own terminology and document structure.

    The result is solutions that work here and now, but that are difficult to maintain and develop further.

    When Structure Becomes a Long-Term Capability

    Digitalisation, integration and automation are ultimately not about more systems. They are about the capability to understand, change and manage technology over time. Standards for structure, documentation, metadata and information governance create traceability throughout the lifecycle. They enable the digital thread in practice and lay the foundation for both effective operations and circular asset management.

    Organisations that establish this foundation early are better positioned for future changes, whether driven by new technology, new requirements or increased sustainability ambitions.

    What to require in your next project

    Before selecting a platform or supplier, make these five decisions explicit:

    • Identity: define how systems, objects and locations will be identified across disciplines.
    • Information: specify required metadata, document classes and naming rules.
    • Interfaces: require open, documented interfaces and clarify ownership of each data flow.
    • Verification: turn the standards into acceptance criteria that can be tested at handover.
    • Lifecycle ownership: appoint who maintains identities, mappings and rules after commissioning.

    If one of these decisions is missing, the project is likely to create a new integration problem for operations to solve later.

    Is your digitalisation journey built on a solid foundation?

    Without shared standards, integration and automation become both costly and difficult to manage. We help you navigate between requirements specification and practical implementation to create a sustainable technical architecture.

  • Requirements Management in Technical Projects

    Requirements Management in Technical Projects

    TL;DR

    The effect

    Deliveries that actually match the order, minimised project costs and full traceability.

    The challenge

    Technical requirements are often forgotten or misinterpreted between procurement and commissioning, leading to costly changes.

    The solution

    A systematic process for requirements management that traces requirements from the first draft to final inspection.

    In complex multidisciplinary projects, requirements management is not an administrative chore – it is a critical control mechanism. Without a structured process for identifying, analysing and tracing requirements, the project risks scope creep, escalating costs and technical debt that burdens asset management for decades.

    Why Requirements Are Often the Real Cause of Problems

    In many technical projects, problems do not arise because the solution is technically deficient, but because it was never entirely clear what should actually be achieved, who owned the requirements and what role different documents played. Requirements are often documented, but they are not governing. They are difficult to verify, difficult to follow up and even more difficult to use when changes arise. In practice, they have become text, rather than a tool for governance.

    A requirement that cannot be pointed out is in practice no requirement at all.

    Requirements Start with Why the Document Exists

    One of the most fundamental mistakes in requirements work is that documents are produced without their purpose being clearly defined. In many projects, documents called requirements specifications, technical descriptions or system documents are produced without it being clear whether the document should function as governance, procurement basis, contract appendix or verification foundation.

    When the document’s purpose is not clear, the content follows suit. Requirements are mixed with background, goal formulations, explanatory text and sometimes even ready-made solution proposals.

    What Distinguishes Goals, Requirements and Descriptions

    • A business goal describes why something should be done. It expresses a desired effect or direction, but is not verifiable in a technical sense.
    • A requirement describes what should be achieved. It is directed at someone other than the person formulating it and must be unambiguous, verifiable and binding. A correctly formulated requirement contains no solutions and no reasoning about why the requirement exists.
    • A description explains how something is intended to function or be performed. It can be technical or functional, but is not a requirement unless it is explicitly formulated as a verifiable “shall” requirement.

    When goals, requirements and descriptions are mixed together, interpretative space arises. What the business perceives as binding may be perceived by the supplier as advisory.

    Why Requirements Must Be Identifiable

    A requirement that cannot be pointed out is in practice no requirement at all. For requirements to be followed up, verified and changed over time, they must be unambiguously identifiable. Each requirement needs a unique ID and/or sequence number.

    A requirement with a sequence number can be referenced, linked to test cases, change requests and documentation. This makes the requirement a manageable information object rather than a formulation in text. Numbering is therefore not administration – it is a prerequisite for requirements management over time.

    Abstraction Levels (URS, FRS, TRS)

    In professional requirements management, the terms URS, FRS and TRS are often used. These should be understood as abstraction levels rather than fixed document types:

    • URS (User Requirement Specification) – describes the business’s needs. Technology-independent but verifiable.
    • FRS (Functional Requirement Specification) – describes which functions the system must have to fulfil the URS. Functional behaviour and logic, without locking technical solutions.
    • TRS (Technical Requirement Specification) – describes the technical requirements placed on the solution: architecture, performance, interfaces, integrations and technical standards.

    Traceability as Quality Assurance

    The core of professional requirements management is traceability. Every technical requirement in a TRS must be traceable back to a business need in the URS. In the same way, every delivery must be verifiable against its original requirement.

    Without this traceability, change management becomes guesswork where consequence analysis often does not take place – which is the single largest source of technical debt being built into the facility during the construction phase.

    ISO/IEC 29148 and What Professional Requirements Management Means

    ISO/IEC 29148 describes what is required to work systematically with requirements throughout the lifecycle. The standard emphasises that requirements should be unambiguous, verifiable, traceable and consistently structured. A central principle is that requirements are not text passages, but information objects. Each requirement must be identifiable, referenceable, changeable and verifiable independently of which document it happens to be in.

    Responsibility for Requirements in Technical Projects

    Responsibility can be simplified to three main roles. The business owns “why” – they have the need and must ultimately be able to judge whether the solution fulfils its purpose. The project is responsible for translating the business’s needs into a feasible solution – developing FRS and TRS, coordinating design and managing suppliers. Suppliers are responsible for implementing according to the TRS and demonstrating that requirements are met.

    When responsibility is not clear, gaps arise where requirements fall between the cracks.

    Requirements, Verification and Validation

    The abstraction level of a requirement is directly linked to how verification and validation are carried out.

    Installation Qualification verifies that the solution is installed according to technical requirements and maps primarily to the TRS.

    Operational Qualification verifies that the system performs its specified functions and maps to the FRS.

    Performance Qualification verifies that the solution meets the business need in real operation and maps to the URS.

    This shows clearly why business requirements cannot be written by the supplier. Whoever is to approve the value must own the requirements.

    Linking requirements to tests

    • The URS is verified by the business assessing whether the need is met
    • The FRS is verified through functional testing
    • The TRS is verified through technical installation and inspection

    Verification without clear requirements becomes a check of workmanship, not of need.

    Contract Documents and the Dual Roles of Documents

    In many projects, technical descriptions and system documents are used as combined documents for requirements, function and execution. In Swedish design-build contracts (ABT 06) this is common practice, and it is not wrong in itself.

    The problem arises when these documents are expected to serve both as a description and as a verifiable requirements baseline. The requirements are there, but they are not identifiable as requirements.

    A document can contain requirements without being a requirements document. It is the role of the content, not the title of the document, that determines its function in the requirements chain.

    Common consequences of combined documents

    • Requirements cannot be traced to tests
    • Changes are handled informally
    • Discussions arise late in the project
    • Responsibility becomes unclear in a dispute

    This is not a methodology problem but a structural problem.

    Requirements as Information Objects Over the Lifecycle

    Requirements are not static. They change when the business changes, when technology is replaced and when systems are rebuilt. To handle this, requirements must be treated as information objects with a lifecycle – linked to functions, technical solutions, tests and documentation.

    Requirements work when they are separated from descriptive text, have a clear owner, can be verified, are traceable over time and are used even after the project ends. When these conditions are met, requirements become a governance tool, not administration.

    Do you have control of your requirements – all the way to commissioning?

    Inadequate requirements management is the most common reason technical projects overrun in both time and cost. In the role of technical owner’s representative and Owner’s Representative, HubMind helps you establish the structure that makes your requirements an active governance instrument for both project management, architecture and future asset management.

    When Requirements Management Becomes a Governance Tool

    A requirement is something that is to be fulfilled by someone other than the party stating it, and that can be verified.

    Everything else is a goal, a description or a solution, even if it happens to sit in the same document.

    Once this is clear, it also becomes clear why documents exist, who is responsible for what, and how technical projects can be governed through the entire lifecycle, from need to operation and change.

    Reflection

    A quick check of requirements maturity

    • Can you point to exactly which statements are requirements
    • Is it clear who owns each requirement
    • Can the requirements be verified without interpretation
    • Are the requirements used after commissioning

    If the answer to any of these questions is no, there is most likely room for improvement.

  • Digitalisation, Integration and Automation in Practice

    Digitalisation, Integration and Automation in Practice

    TL;DR

    Conclusion

    Without order in information (Digitalisation) and clear relationships (Integration), governance (Automation) will never be effective.

    Digitalisation

    is about information – making data comprehensible, traceable and useful across the entire lifecycle.

    Integration

    is about context – connecting systems and flows with clear interfaces and responsibilities.

    Automation

    is about governance – letting systems act independently based on logic and reliable data.

    Digitalisation as a Concept

    Digitalisation is one of the most used concepts in contemporary discussions about technology, business development and the future. At the same time, it is one of the most elusive. For some, digitalisation means replacing paper with systems. For others it is about data analytics, automation or new business models. In many contexts, the term is used as a catch-all for anything perceived as modern or technically advanced.

    This is why the sequence matters: first create order in information, then connect systems with clear interfaces, then let logic act on reliable data. Inverting this order leads to automation that amplifies uncertainty rather than creating clarity.

    In technical environments this becomes particularly clear. Digitalisation can refer to anything from building automation and industrial control systems to IT platforms, integrations and decision support. When the same word is used for such different things, misunderstandings easily arise between business, IT, OT and suppliers.

    Why the Concepts Are Often Mixed Up

    Digitalisation, integration and automation are closely related, but describe different things. In practice, they are often used interchangeably to describe the same initiative. A project can be described as a digitalisation project even though it is mainly about integration. Automation is sometimes used to describe remote monitoring, while integration is reduced to technical connections.

    This lack of precision leads to projects where the objectives, the work and the deliveries are never aligned. When digitalisation, integration and automation are described separately and in relation to each other, the conversation becomes more productive – for business, IT, OT and suppliers alike.

    Digitalisation in Technical Environments

    In technical environments, digitalisation primarily means making information about systems and facilities available in a structured, usable and long-term form. It is not primarily about installing new systems. It is about how information is organised, owned and used.

    Digitalisation creates the conditions for integration and automation by ensuring that data has meaning, context and traceability. Without this foundation, integration becomes a technical puzzle that must be rebuilt with every change, and automation risks acting on incorrect or misunderstood data.

    Integration as Architecture

    Integration in technical environments is not just about connecting systems. It is about creating structures where information flows in a controlled, comprehensible and maintainable way. Well-designed integration means clear interfaces, defined data flows and explicit responsibility for what is sent, received and handled in each system.

    When integration is treated as architecture rather than as individual technical connections, the result is more robust, scalable and possible to change without needing to rebuild from scratch.

    Automation as the Expression of Logic

    Automation is the layer where information and integration create visible value. Systems act on data, logic governs processes and operations are monitored and improved in real time. But automation is only as reliable as the data it acts on and the integrations that deliver that data.

    This is why the sequence matters: first create order in information (digitalisation), then connect systems with clear interfaces (integration), then let logic act on reliable data (automation). Inverting this order leads to automation that amplifies uncertainty rather than creating clarity.

    A Lifecycle Perspective

    The relationship between digitalisation, integration and automation is not static. As facilities develop, systems are replaced and new requirements arise, all three dimensions must be managed over time. This requires a lifecycle perspective where decisions today are made with an awareness of their consequences in ten years.

    Organisations that succeed with this work combine strategic thinking about information and architecture with practical execution in projects – always with the whole picture in mind, not just the current deliverable.

    Is your digitalisation built on the right sequence?

    We help organisations clarify what digitalisation, integration and automation actually mean in their specific context – and how the three can be built in a sequence that creates sustainable results rather than new technical debt.

  • MQTT: From Edge Functionality to Central Service

    MQTT: From Edge Functionality to Central Service

    TL;DR

    Conclusion

    With support for standards such as Sparkplug B, the protocol becomes the backbone of a future-proof and interoperable facility – in buildings and industry alike.

    The challenge

    Traditional edge handling of data often creates isolated information silos that are difficult to administer and scale.

    The solution

    By using MQTT as a central service (MQTT broker), a shared platform is created for all sensor data and control.

    The effect

    Simpler administration, improved real-time monitoring and a seamless bridge between the facility’s OT systems and IT analytics platforms.

    MQTT: From Niche IoT Solution to Strategic Backbone of Modern Automation

    In recent years, MQTT (Message Queuing Telemetry Transport) has evolved from a smart solution for individual IoT sensors to become one of the most important components in modern building and industrial automation. We are now seeing a clear shift in how the technology is used: from being something managed out at the “edge” of systems, MQTT is beginning to move into the very core of the facility’s IT infrastructure.

    The Power of Lightning-Fast Deployment

    When discussing the advantages of MQTT, we often end up in technical details, but we frequently forget the purely commercial gain: speed. Thanks to modern brokers such as EMQX, we have seen how you can go from drawing board to a fully functional infrastructure for an entire factory in record time.

    In traditional systems, it often takes weeks or months to configure each individual node and ensure they communicate with each other. With a cloud-based or clustered MQTT solution, we are talking about minutes to set up the hub itself. For a facility owner or industrial manager, this means you can scale up from a pilot in a small plant room to covering an entire property portfolio or production line without having to rebuild the architecture from scratch.

    The Problem of the Fragmented Facility

    Traditionally, both building and industrial automation have been built in closed verticals. Each system – cooling, heating, lighting, production lines – has often had its own logic and its own proprietary protocols. The result has been an unmanageable tangle of integrations where data lives in isolated silos.

    Traditional architecture: point-to-point integrations
    Today: every system is integrated point-to-point. Complexity grows exponentially with each new system.

    By elevating MQTT to a central service, we change the game. Instead of each device sending data to a local node that may then communicate with the cloud, we create a shared information bus. Here the MQTT broker becomes the central hub where all communication meets. This provides unmatched scalability: once the infrastructure is in place, it does not matter whether you add ten or ten thousand new sensors – the architecture remains the same.

    With a central MQTT broker: hub and spoke
    With a central MQTT broker: every system connects once. The architecture stays the same regardless of scale.

    Real IT/OT Convergence

    One of the greatest gains from a centralised MQTT service is that we finally begin to speak a language that the IT department understands and accepts. Historically, the gap between operational technology (OT) and IT has been large, but MQTT’s lightweight nature and its ability to easily integrate with modern analytics tools and business systems (ERP, MES) bridges this gap.

    When data flows centrally through a broker, it suddenly becomes available to the entire organisation. The facility owner can leverage real-time data for predictive maintenance, while the finance department can get exact energy consumption figures directly into their systems. We are now seeing solutions that handle over 100 million simultaneous connections – a level of future-proofing that traditional BMS systems have never come close to.

    The Challenges We Cannot Ignore

    But centralisation also comes with greater responsibility. When MQTT is made the heart of the facility’s operations, entirely different demands are placed on network robustness. We leave the “playground” stage and enter critical infrastructure:

    • Security as a foundation: Simple passwords are no longer sufficient. A centralised environment requires a well-thought-out security strategy with TLS encryption and certificate management (CA). Every device that connects must be who it claims to be.
    • Redundancy and reliability: If the central broker goes down, the facility must not stop functioning. Therefore we increasingly see implementations with clustered brokers and advanced failover mechanisms, built to withstand outages without losing critical data.
    • Structure through Sparkplug: A common pitfall with MQTT is that data becomes unstructured – values are sent without context. Sparkplug B addresses this by ensuring all devices in the network understand each other’s data directly, a prerequisite for true interoperability.

    Future Outlook

    We are moving away from the era of buying “finished packages” where hardware and software are locked together. Tomorrow’s BMS and SCADA are software-defined, flexible and data-centred. By investing in a robust, centralised MQTT infrastructure, you lay the foundation for a facility that is not only smart today, but ready for technologies we have not yet even glimpsed.

    MQTT is no longer just a protocol for small sensors – it is the foundation for how we will manage and optimise our buildings and production facilities for decades to come.

    Getting started with MQTT – four steps

    1. Take inventory: Map which systems and devices already speak MQTT – and which need a gateway.
    2. Define the structure: Decide topic structure and naming convention before the first device connects – not after.
    3. Secure the foundation: TLS encryption, certificate management and access control from day one.
    4. Start small, scale smart: Pilot in a bounded part of the facility – the architecture then scales without rebuilding.

    Are you ready to make MQTT the hub of your system?

    Moving from local edge solutions to a centralised MQTT infrastructure requires the right planning around security, redundancy and network capacity. We help you navigate from strategy to operational solution.

  • IEC 81346: Start with Structure

    IEC 81346: Start with Structure

    HubMind field guide · IEC 81346

    IEC 81346.
    Start with structure.

    IEC 81346 is not primarily about naming equipment. It helps asset owners create shared structure and stable identity for technical objects throughout the lifecycle.

    Read the series

    From central idea to governed infrastructure.

    Three concise guides build on one another. Start with structure, change the view of the object, then finish with implementation and governance.

    From standard to application

    Need the structure to work in practice?

    Talk to us →
  • When IT Manages OT

    When IT Manages OT

    TL;DR

    Conclusion

    Successful integration is more about trust and clear processes than just network cables.

    The challenge

    IT and OT have different priorities; IT focuses on data security and confidentiality, while OT prioritises real-time operations and availability.

    The solution

    A clear boundary definition and a shared governance model that respects both disciplines’ needs.

    The effect

    A secure and stable environment where control systems are protected by IT standards without risking the operation of the facility.

    Organisation, Competence and Responsibility in Tomorrow’s OT Environments

    As automation systems become IP-based, it is not only the technical architecture that changes, but also the organisation’s allocation of responsibility. BMS systems increasingly use the same networks, the same security mechanisms and the same infrastructure as enterprise IT. The IT organisation thus becomes a direct prerequisite for building automation to function – regardless of whether this is formally stated or not.

    This is fundamentally a management and governance question, not a technical detail.

    From Enterprise IT to a Shared Platform

    Traditionally, the IT department’s remit has been clearly tied to enterprise IT: users, clients, servers, applications and networks for office and business systems. Building automation and BMS have often been managed by facility management, operations teams or external suppliers, with their own systems and working methods.

    When BMS becomes IP-based, this boundary is erased. The IT infrastructure becomes the shared platform for OT systems as well. This means decisions about networks, addressing, security and changes directly affect the building’s function. In practice, IT is already involved in OT operations – even if the organisation is not always structured for it.

    Different Logics – IT and OT Have Different Prerequisites

    A fundamental challenge is that IT and OT have historically been governed by different logics.

    IT environments are often characterised by: frequent updates, standardised platforms, acceptance of planned outages, and focus on security updates and lifecycle management.

    OT environments, by contrast, are characterised by: long lifespans, high requirements for continuous operation, limited tolerance for change, and systems directly linked to physical function.

    When these perspectives meet without adaptation, friction arises. Operational disruptions, ambiguous decisions and gaps in responsibility are often organisational problems rather than technical ones.

    Patching and Change – An Organisational Key Issue

    One of the clearest areas where IT and OT logic differ is patching and change management. In IT, regular patching is a natural part of security work. In OT, the same update can mean risk of downtime, unforeseen side effects or compatibility problems. An outage in a BMS system affects not only IT functions, but also comfort, energy consumption and sometimes safety functions in the building.

    When OT systems are on the same network and managed through the same processes as IT, adapted procedures are therefore required:

    • Separate change windows for OT
    • Requirements for testing before updates
    • Clear coordination with OT managers before changes to infrastructure

    This is fundamentally a management and governance question, not a technical detail.

    Competence – Mutual Understanding Rather Than Dual Expertise

    A common mistake is trying to create roles that must fully master both deep IT competence and deep OT competence. In practice this is difficult to maintain and often leads to dependencies on individuals. A more sustainable strategy is to build mutual understanding:

    • IT needs to understand OT systems’ requirements for stability, lifespan and consequences of outages
    • OT needs to understand IP networks, addressing, certificates, segmentation and security principles
    • Specialist competence remains within each area, but with clear interfaces for collaboration

    Organisational Models That Work in Practice

    Organisations that succeed with IT/OT convergence often have a clear allocation of responsibility. IT is responsible for the platform: network infrastructure, IP addressing, DNS and DHCP, basic cybersecurity, certificate management and segmentation. OT is responsible for the systems: BMS function and logic, availability and performance requirements, validation of changes from an operations perspective. Shared responsibility covers: change management, incident management, documentation and lifecycle management.

    The decisive factor is not exactly how the organisation is structured, but that responsibilities and decision paths are clear.

    Common Mistakes

    • Moving OT to IT without changing working methods – IT applies existing processes without regard for OT systems’ operational reliability requirements
    • Unclear responsibility between IT and OT – Nobody owns the whole picture, leading to decision gaps and delays
    • Changes implemented without OT alignment – Technically correct changes have unwanted operational consequences
    • Overconfidence in hybrid roles – Individuals are expected to cover the entire competence spectrum without organisational support
    • Treating IT/OT convergence as a technology project – Organisational questions, training and governance are deprioritised

    Who bears responsibility when the building goes digital?

    When the IT department gets responsibility for the building’s OT environment, new challenges arise around security, lifecycles and operational responsibility. We help you define the processes and requirements that make the handover and daily management a success rather than a source of conflict.

  • Tomorrow’s BMS Requires IT-Ready Networks

    Tomorrow’s BMS Requires IT-Ready Networks

    TL;DR

    Conclusion

    The network is not just a cable – it is the backbone of your digital facility strategy.

    The challenge

    Traditional BMS networks are often isolated and lack the security and bandwidth required for modern digitalisation.

    The solution

    By building an IT-ready infrastructure with clear segmentation, a stable platform is created for tomorrow’s control systems.

    The effect

    Enables secure system integration, remote control and real-time analytics without compromising operational security.

    Modern IP Infrastructure for Commercial Properties – The Foundation for Tomorrow’s BMS

    Building automation has long been built on traditional fieldbus protocols such as Modbus, M-Bus and similar technologies. These systems have been robust and relatively easy to maintain, but have been limited in terms of integration, scalability and access to data outside the system itself.

    A modern BMS system is no longer an isolated technical system. It is a network-dependent platform that requires the same structural care as other critical IT infrastructure.

    With the transition to IP-based BMS systems, the conditions change fundamentally. Communication takes place over Ethernet, often with standardised protocols, and systems become part of the organisation’s overall IT environment. This opens up new possibilities in analytics, optimisation and integration – but also places clear demands on network design, security and operating principles.

    A modern BMS system is no longer an isolated technical system. It is a network-dependent platform that requires the same structural care as other critical IT infrastructure.

    IP-Based vs Proprietary Networks

    Traditional automation systems are often built on specialised networks and protocols adapted for a specific purpose. IP-based Ethernet instead means: individual addressing of every device (e.g. with IPv6), better support for integration between different systems and suppliers, and use of standardised protocols with broad market acceptance and long lifespans.

    When BMS communicates over IP, the system ceases to be technically isolated. It becomes part of the shared network infrastructure and is directly affected by how that network is designed, monitored and managed.

    DNS and DHCP – More Than Supporting Functions

    In IP-based automation environments, DNS and DHCP are no longer peripheral support services. They form a central part of the infrastructure: managing large volumes of connected devices, creating a readable, traceable and structured address environment, and enabling automatic updates of names and addresses via dynamic DNS.

    Without a well-thought-out strategy for DNS and DHCP, the environment quickly becomes difficult to oversee. With standardised naming conventions, DNS can also be used as an active tool for documentation and structure, where names reflect function, system membership and location.

    Secure Infrastructure – Encryption, Certificates and Segmentation

    When BMS devices connect to the IP network, the attack surface increases. Systems that were previously physically or logically isolated are now accessible via the network, requiring an entirely different security mindset. Fundamental principles for a secure BMS infrastructure include:

    • Network segmentation, separating automation from other IT traffic
    • Encryption of data in transit, e.g. with TLS
    • Central certificate management, rather than local manual solutions

    Security in OT environments cannot be reduced to individual firewall rules. It must be built into the network architecture from the start and take into account both the threat landscape and operational safety.

    Technical Maturity – Standards, Tools and Processes

    IP-based building automation requires greater technical maturity than traditional solutions. A modern BMS environment needs, among other things: standardised communication protocols such as OPC UA or MQTT, monitoring and visibility of both network and systems, and continuous risk assessment linked to changes and updates.

    Established IT principles such as defence-in-depth and zero trust must be applied with an understanding of the OT environment’s requirements. Security and stability must be balanced, not set against each other.

    Common Mistakes

    • Assuming office IT principles work unchanged in OT environments – Automatic patches and rapid changes can have direct operational consequences in BMS systems
    • Underestimating the need for network segmentation – Inadequate separation increases both security risks and the risk of unintentional impact
    • Lacking a clear strategy for addressing and DNS before implementation – Unstructured solutions lead to increased operating costs and difficult fault-finding
    • Treating OT security as purely a firewall question – Without a holistic view of certificates, encryption and zone division, protection becomes fragmented

    Is your BMS network ready for the next step?

    A modern control system is only as strong as the network it communicates on. We help you bridge the gap between traditional building technology and modern IT architecture – from requirements specification to operational network.

Contact us