IoT Cloud Platform

IoT Cloud Platform

Brief introduction:

Companies that want to deliver differentiated connected products or transform business processes, face serious challenges when having to choose and design from a fragmented set of network technologies, hardware, protocols, software, applications, and analytics solutions. Therefore Glaze helps design and implement IoT Cloud Platforms and simplify deploying, managing and operating these cloud platforms. Glaze can tailor a complete custom Industrial IoT cloud platform or we can use our own reference platform (Beacon Tower) as either a stepping stone or as an out-of-the-box solution.

Whether it is a custom solution or based on our own Beacon Tower we have a go-to process that spans from business case development to implementation, operations and maintenance and we have zoomed in on the IoT Cloud part of the process in this figure Glaze IoT Cloud Platform Process. The process is based on experiences with launching numerous global IoT Cloud solutions for leading Scandinavian companies.

Further elaboration:

In volatile market conditions, conservative industrial giants must move faster to survive. The digital transformation of traditional manufacturing firms cannot — and must not — simply be about making existing industrial processes more efficient. These organizations must recognize the opportunity to use digital services as a way to create more sustainable and profitable customer relationships, continuously aligning product value to changing customer requirements.

But the physical products (and the hard-won industrial skills that created them) don’t go away. A rich digital experience does not replace a well-built premium car or a dependable and resilient piece of industrial machinery. Rather, digital services augment the product and enable designing, building, selling, using, and valuing it in new ways. While the physical products certainly endure, the companies that built them must change to survive, investing in digital services and baking it deeply into everything they do. IoT
is core to industrial companies’ efforts to bridge the divide between the physical and the virtual. Glaze's IoT Cloud Platform Services helps the design of connected products and create connected insights.

The most typical customer scenarios are illustrated here:

The challenge is not to establish an IoT Cloud Platform in a matter of days. All major Cloud Providers have accelerators and preconfigured solutions, that makes this possible. And most sensor manufacturers offer some sort of Cloud solution as part of their service.

The challenge is to establish a flexible, scalable and cost-effective platform that will be a good platform for further analysis and use of the data.

At Glaze, we are working intensively with IoT Cloud Platforms and we know the pitfalls – having worked in this area since 2015. All too often, IoT Data Collection is implemented without proper consideration of the various options available. We know that it is important to have realistic expectations to the journey. A design that is chosen, without proper experience and analysis, often ends up being too costly thus creating an obvious risk that the IoT Business Case is discontinued for the wrong reasons. Another mistake, we have seen often, is to choose a closed platform, where data ends up, isolated in a silo, making data analysis, predictive maintenance or remote monitoring, machine learning and integration with business IT, practically impossible.

That is why we recommend to
•    Evaluate the requirements for your IoT Cloud Platform, hereunder  to fully understand edge and business IT integration points
•    Minimize the risk by using standard solutions
•    Maintain ownership and access to the data

At Glaze, we have established a starting point for an IoT Cloud Platform, based on our experiences from the projects we have been involved in. We continue to adjust the platform based on development in the Ecosystems and the experiences from our projects. We call this platform Beacon Tower. It includes solutions to many of the things that need to be considered – Device Provisioning, Asset Management and Multi Tenancy are the most obvious, but also the choice of the right database, management and visualisation for time series data is very important.

So let us help you with valuable process, architecture and implementation experiences within:
•    Sensor and Edge (e.g. PLC, SCADA, MES, DCS, Historians) Integration
•    Device Provisioning
•    Digital Twin
•    Asset Management
•    Multi Tenancy
•    Data Retention procedures
•    Time Series Database and Presentation
•    Alarms and notifications
•    API for User Management
•    API for Business Integration

More information:

Managing Partner, Jakob Appel, jakob.appel@glaze.dk, +45 2617 1858

Positioning technologies currently applied across industries:

Global Navigational Satellite System: Outdoor positioning requires line-of-sight to satellites, e.g. GPS: the tracking device calculates its position from 4 satellites’ timing signals then transmits to receiving network
–    via local data network, e.g. wifi, proprietary Wide Area Network
–    via public/global data network, e.g. 3G/4G

Active RFID: A local wireless positioning infrastructure built on premises indoor or outdoor calculates the position based on Time of Flight from emitted signal & ID from the tracking device to at least 3 receivers or when passing through a portal. The network is operating in frequency areas such as 2.4 GHz WiFi, 868 MHz, 3.7 GHz (UWB – Ultra Wide Band), the former integrating with existing data network, the latter promising an impressive 0.3 m accuracy. Tracking devices are battery powered.

Passive RFID: Proximity tracking devices are passive tags detected and identified by a reader within close range. Example: Price tags with built-in RFID will set off an alarm if leaving the store. Numerous proprietary systems are on the market. NFC (Near Field Communications) signifies a system where the reader performs the identification by almost touching the tag.

Beacons: Bluetooth Low Energy (BLE) signals sent from a fixed position to a mobile device, which then roughly calculates its proximity based on the fading of the signal strength. For robotic vacuum cleaners an infrared light beacon can be used to guide the vehicle towards the charging station.

Dead Reckoning: Measure via incremental counting of driving wheels’ rotation and steering wheel’s angle. Small variations in sizes of wheel or slip of the surface may introduce an accumulated error, hence this method is often combined with other systems for obtaining an exact re-positioning reset.

Scan and draw map: Laser beam reflections are measured and used for calculating the perimeter of a room and objects. Used for instance when positioning fork-lifts in storage facilities.

Visual recognition: The most advanced degree of vision is required in fully autonomous vehicles using Laser/Radar (Lidar) for recognition of all kinds of object and obstructions. A much simpler method can be used for calculating a position indoor tracking printed 2D barcodes placed at regular intervals in a matrix across the ceiling. An upwards facing camera identifies each pattern and the skewed projection of the viewed angle.

Inertia: A relative movement detection likewise classical gyroscopes in aircrafts now miniaturised to be contained on a chip. From a known starting position and velocity this method measures acceleration as well as rotation in all 3 dimensions which describes any change in movement.

Magnetic field: a digital compass (on chip) can identify the orientation provided no other magnetic signals are causing distortion.

Mix and Improve: Multiple of the listed technologies supplement each other, well-proven or novel, each contributing to precision and robustness of the system. Set a fixpoint via portals or a visual reference to reset dead reckoning & relative movement; supplement satellite signal with known fixpoint: “real time kinematics” refines GPS accuracy to mere centimetres; combine Dead Reckoning and visual recognition of 2D barcodes in the ceiling.

LoRaWAN: A low power wide area network with wide reach. An open standard that runs at unlicensed frequencies, where you establish a network with gateways.

Sigfox: A low power wide area network reminiscent of LoRa. Offered in Denmark by IoT Danmark, which operates the nationwide network that integrates seamlessly to other national Sigfox networks in the world.

NFC: Used especially for wireless cash payments.

Zigbee: Used especially for home automation in smart homes, for example. lighting control.

NB-IoT: Telecommunications companies’ IoT standard. A low-frequency version of the LTE network.

2-3-4G Network: Millions of devices are connected to a small SIM card, which runs primarily over 2G, but also 3G and 4G.

Wifi: The most established standard, especially used for short-range networks, for example. in production facilities.

CATM1: A low power wide area network, especially used in the United States.

Glaze IoT Cloud Project Process

Beacon Tower is Glaze’s Industrial IoT Cloud Platform that can act as either a stepping stone (Platform-as-a-Service, PaaS) or as a out-of-the-box solution (Software-as-a-Solution, SaaS) for collection of IoT-data.

Beacon Tower resides in Microsoft Azure and is designed as a customisable and cost-effective IIoT Cloud Platform that helps simplify deploying, managing, operating, and capturing insights from internet-of things (IoT)-enabled devices. Our customers have the full ownership of their data.

When running it as a PaaS we utilise the design and can run it on our customers’ Azure tenant and customise it fully to their requirements.

Beacon Tower connects to all sensors, PLC, DCS, SCADA, ERP, Historians and MES to gain maximum automation flexibility and ​prevent vendor lock-in.

For more information visit www.beacontower.io or read the PDF.

Edge Computing Categories and Questions

Device:
o    Sensors
o    Internet connectivity
o    Battery consumption
o    Field Gateway
o    Communication protocols (HTTP, AMQP, MQTT, Gateway)
o    Format of the telegrams sent to the cloud (JSON, Avro, etc.)

Data:
o    Number of devices & number of signals
o    Amount of data to transfer per day
– Event-based or batched or mix
– Transfer rate (every second, minute, hour)
o    Device timestamps
– Synchronized timestamps with cloud or not
– Local buffering on device, late and/or repeated data
o    Any time-critical notifications / alarms
– Latency expectations for non-time critical data
– Alarms generated by device and/or by cloud platform
o    Cloud-to-device messages & commands
o    Analytics
– Results from time-series data / Streaming analytics
– Analytics workflows on data, machine learning etc.
– Edge analytics / intelligence

Cost expectations:
o    Retention periods (for reporting purposes)
o    Aggregation of data, possibilities for cost saving

External integrations:
o    Reference data / online data

Administration, rights and access:
o    Requirements for multi-tenancy (segregated owners)
o    Owners/tenants and operators/technicians
o    Administrating access to data, auditing use
o    API management, consumption of data, 3rd party integrators

Operation:
o    KPI measurements for device
o    KPI measurements for cloud platform
o    Requirements on operators and SLA’s

User-interfaces and functions:
o    Operators/technicians
o    Customers/end-users

Glaze Business Innovation and Development Framework (BIDF)

1. Strategy

Creating an IoT Strategy that aligns with the existing company strategy and/or points out any discrepancies that needs to be addressed. The IoT Strategy should pinpoint type of IoT opportunities that should be sought and how they can support the Company delivering on their overall strategies.

2. Ideation

The Ideation phase is an innovative and creative phase where we identify the IoT opportunities within the company. This is done by using existing assets, industry expertise, industry analysis, strategy and IoT expertise to find opportunities for IoT endeavors. This is done in an structured but open-minded and creative setting.

3. Refinement

In Refinement the opportunities are detailed, prioritized and evaluated in a series of steps with the goal of finding a short list of initiatives the company want to pursue. These steps takes strategy, competence, risk level, customer maturity etc into account during prioritization.

4. Valuation

The short list of opportunities are detailed even further and business cases are created for each of them. This will lead to a decision which opportunity to pursue further.

Moving on from the Business Innovation phases to Development activities we focus on taking the minimum possible risk of building the wrong solution by using agile development practices.

5. Exploration

Proof of Concepts carried out in this phase in order to map out technology as well as user-oriented risks. This also refines the budget and thus valuation and business case. Also giving valuable input to baseline system architecture and eco system involvement.

6. Planning

Moving to Planning phase, the most promising business case has been selected and now it is time to plan the Minimal Viable Product (MVP), in terms of timeline, resources and detailed design.

7. Foundation

Implementing the baseline architecture, toolchains and most critical points of the project.

8. Development

Full MVP is developed using these three principles: Start small, don’t over-engineer; Agile software development – late changes welcomed; Continuous delivery – every change is immediately visible.

9. Operations

Operations in an IoT-project is more than just keeping the product alive. It is life-long updates and continous sharpening of features and business model, meaning new ideas are fed back in the Innovation and Development Framework.

Heat map example on a typical business case: