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Chapter
Blockchain: From Industry 4.0 to
the Machine Economy
OscarLage
Abstract
The extreme automation of our factories is necessary in order to face the Fourth
Industrial Revolution. This new industrial paradigm will force our industries to
manufacture much shorter and customized series at increasingly competitive
prices, even tackling the manufacture of thousands of different configurations of a
single base product. In order to achieve this, our production processes must have a
flexibility in their configuration that has never been imagined before. This flex-
ibility and ability to adapt automatically to demand are the essence of the Fourth
Industrial Revolution and are part of the Western strategy to recover an industrial
sector increasingly threatened by the Eastern production of large series at really
competitive prices. Based on our participation in more than a dozen proofs of
concept in the automotive, aeronautics, agri-food, or energy sectors, we describe
the scenarios in which blockchain technology brings the greatest benefits to
Industry 4.0. After finishing different experimentations, we carried out an in-depth
analysis of the true added value of blockchain in the industry and contrasted our
conclusions through interviews with more than 20 people in charge of innovation
from different industries. As a result, we have obtained the principal four values of
blockchain technology applied to Industry 4.0.
Keywords: blockchain, DLT, Industry 4.0, trust, cyber security, IoT, IIoT, industrial
systems
. Introduction
The automation of our industries and the relationships of the different agents
in the value chain will allow us to eliminate many repetitive manual processes
with little added value that reduce the competitiveness of the industry [1].
Even the automation of tendering and contracting processes can improve our
competitiveness.
Technologies, such as artificial intelligence, flexible robotics, IoT, or augmented
reality will allow us to advance in the digitalization and optimization of our pro-
cesses, but the great barrier to implement a fully automated production systems and
especially relationships is precisely the lack of trust and security [2].
Trust is the basis of a new research line that in recent months has had an
increasing impact on industrial forums and conferences: blockchain technology.
Blockchain is a distributed ledger of transactions and digital events that have been
executed and shared among participating parties. Each transaction is consensuated,
mathematically linked and stored by the network of participants, thereby achieving
Computer Security Threats
its immutability. Blockchain allows us to operate our procedures and relationships in
the digital environment in a much more safe and reliable way [3].
The next few years will see a profound transformation of industrial processes,
increasing the synchronization between different agents in the value chain, as well
as extreme automation of decision-making, all thanks to the reliability offered by
blockchain. It is even hoped that in the future, it will be able to transform its own
business models, just as in recent decades the Internet has done, which has so far
been the most disruptive technology in history.
In this chapter, we will explain the different use cases and scenarios that we
consider to have greater potential in the future of Industry 4.0, starting first with
generic industrial cases and then analyzing the specific cases of the energy industry.
This selection has been made based on the experience of more than a dozen block-
chain projects in the domain of Industry 4.0.
Next, we will describe the four main generic values that we have discovered after
different proofs of concept with several companies. Finally, we will discuss future
lines of research linked to a new concept such as the machine economy and report
the final conclusions of the chapter.
. Bringing blockchain into Industry .
After carrying out different proofs of concept, mainly associated with manu-
facturing companies, as well as analyzing other experiments carried out by third
parties, we expose in a critical way which would be the main application scenarios
of the blockchain technology and its benefit for industrial companies.
All the analyzed cases have been contrasted through a working meeting with
several companies in order to analyze the real need and utility of them. The fol-
lowing are the use cases that have presented greatest utility in the experimentation
process, responding to real needs not covered today in their ecosystems.
. Traceability
The traceability of industrial goods throughout the entire supply chain, includ-
ing even the life cycle of a product, is one of the applications that according to
consulted experts in the experimentation, as well as the level of maturity of the
technology in this field, is expected to have a greater impact on the short/medium
term of the industry.
For any point in the chain, it is very valuable being able to have visibility of the
destination and use of its components; thanks to this information the participant
in the supply/value chain will be able to (i) analyze the impact of any change in the
design/composition of their product, (ii) anticipate changes in consumption habits/
trends, (iii) avoid manually entering details of the products/components received
by suppliers, (iv) automate complaints and warranties without the need for paper-
work, or even (v) avoid reusing certificates of origin.
We are facing a known need that the big industrial players have wanted to solve
on different occasions [4–7]. The large industries have designed and built trace-
ability systems based on traditional (centralized) architectures and have made them
available throughout their sectorial supply chain. However, these systems have not
been widely accepted, and the only ones that continue to exist are those related to
food safety that is mandatory.
The problem with the previous approaches is that the “giant” of the supply chain
was the one that offered its system to the rest and was in charge of the custody and
coherence of the common database.
Blockchain: From Industry 4.0 to the Machine Economy
DOI: http://dx.doi.org/10.5772/intechopen.88694
This created great reticence because, even if industrial data visibility policies
were implemented so that only agreed users/companies could consume certain
information, there was a “demigod” in the supply chain which, due to the architec-
ture of the system, could have visibility and exploit the information of the entire
value chain. Furthermore, processing the information in a traditional system is very
complicated to guarantee the sovereignty and protection of industrial data [8].
The alternative to create a similar system using traditional technologies is to cre-
ate a clearing house in the supply chain, which has been done in areas such as food
safety and is the only area where traceability is complete throughout the chain [9].
However, in this case the actors only submit information related to food safety and
cannot consult/exploit the information, so the functionality is not full.
Blockchain makes it possible to eliminate these barriers thanks to a distributed
architecture in which there is no “agglutinator” of the contents. Guaranteeing
through “contract” and cryptography the visibility and use of data (sovereignty
of industrial data) and ensuring that all participants in the network are treated
equally.
However, we have detected that an important point in these projects is to maxi-
mize and automate as much as possible the capture of data, which is why industrial
projects are considering that the Industrial Internet of Things (IIoT) should be the
origin of most of the data that are dumped in the traceability chain. Moreover, this
information should be signed by means of cryptographic hardware in these IIoT
devices, so that the reliability of the data would be extraordinary.
. Interoperability and sovereignty of industrial data
Data and its exploitation are going to be the key in this new industrial paradigm
in which we are entering, promoting even service models based on data [10]. That is
why it is said that data is the new industrial raw material and its sovereignty is a key
point today.
For this reason, several initiatives have arisen that could be called industrial data
platform and that aim to manage and share data of industrial processes, as well as
create value-added services based on them. The most evolved platforms, such as the
one from the international data space consortium, which arose in Germany but is
currently the leading European experimental platform, even include application/
service marketplaces based on industrial data [11].
Perhaps predictive maintenance together with other cases of data analysis and
prescription are the most common and tangible cases today [12], but it is expected
that really these platforms are the basis for innovative proposals of business models
and industrial services that today we cannot even imagine. However, there is cur-
rently a major barrier to the adoption of such platforms, and again it is the reliability
of the industrial data and its protection.
Firstly, there are models for selling information related to industrial processes,
the value of which will depend on the reliability of such data. Therefore, it is one
of the reasons why blockchain begins to be a buzzword in the deliberations on the
future of these platforms, since the more reliable the data, the greater will be its
value in the market.
On the other hand, these platforms must guarantee the sovereignty of industrial
data, for which blockchain architectures/platforms that natively allow confidential-
ity between parties seem the most promising [13]. Current developments include
data encryption models specific to each recipient or set of recipients, such as chan-
nels or private data collection in Hyperledger Fabric v1.4.
However, blockchain and smart contracts will even allow to execute algorithms
and data processing independently, offering the recipient only the result of its
Computer Security Threats
execution [14]. In the future the algorithms can be encoded in a native blockchain
program—the smart contract—in such a way that the owner of the algorithms can
allow the smart contract to access and process their data and generate insights about
them. However, the smart contract provider will not have access to the user’s RAW
data; this will allow them to offer a service based on the data without the customer
having to make a disclosure of such information [15].
After all, it will allow us to put in value the industrial data even without hav-
ing to expose them to a third party, allowing them nevertheless to execute certain
processes on them. This can even be very useful to test/train prediction models of
all kinds without endangering the source data, the result of which can then be a
high-value algorithm for a specific industry.
. IIoT reliability
One of the main benefits of the blockchain application to IIoT in which all the
interviewed experts agree is precisely the decentralized architecture that blockchain
can offer to IoT in general and especially to the industrial ecosystem whose require-
ments are more severe [16].
Currently the architecture of these systems is a classic client/server, which
has a series of barriers and deficiencies for an environment such as IoT/IIoT.It
is expected that the client/server architecture will not be able to respond to the
exponential growth of IIoT and IoT in general; we must bear in mind that we will
face an immense number of devices generating and consuming information from
third parties. To get an idea of this figure, an industrial control machine or device
generates hundreds of millions of data/parameters annually, and inside a medium-
sized factory, we can find tens or hundreds of devices.
The cost of centralized processing and even network equipment and connectiv-
ity to support such cross traffic between different industrial systems (clients) with
dependencies between them would be exponential if all these communications had
to pass through a central system (server). In addition, this central system (server)
would be a major bottleneck for all connected devices and a single point of failure
(SPOF) which, if compromised, could generate a production shutdown of millions
of euros in a single factory.
The trend is also that connected machines and factories interact outside their
business environment with partners, suppliers, and customers. This brings another
set of challenges at the level of identity management and device authentication.
Currently within a factory, existing systems have multiple limitations because
vendors deploy centralized systems that cannot interact safely and reliably with
third parties, even rely on costly and complex in-house or manufacturer-controlled
PKI architectures. In a global economy and in an ecosystem relationship, the
problem and complexity multiply. Thus, blockchain technology has demonstrated
that distributed authentication and identity management are highly efficient and
feasible [17] and can solve identity management problems.
For all these reasons, we are dealing with a new paradigm in which, after moving
from the traditional server model to an elastic cloud server architecture, we must
evolve toward a network of devices in which blockchain is postulated as the main
technological enabler. This paradigm shift would lead us toward decentralized
registers that could become sectorial or even universal.
But the adoption of blockchain in the IIoT ecosystem, and IoT in general, offers
another series of advantages, which although perhaps less disruptive also resolves
some of the challenges and barriers to adoption of IIoT and IoT discussed above.
Blockchain offers us a decentralized record of information, which is also
reliable and unalterable. That is why besides avoiding the single point of failure
Blockchain: From Industry 4.0 to the Machine Economy
DOI: http://dx.doi.org/10.5772/intechopen.88694
of traditional systems, it offers us a more resilient system, not only in terms of
system availability, which increases exponentially by avoiding the single point
of failure, but also in terms of information, since it provides us with a reliable
record [18].
Offering a reliable record of information due to its immutability and ensuring
non-repudiation of operations are an enabling factor for transactions between
unknown devices or different organizations.
As we have mentioned before, one of the biggest barriers to adopting a higher
level of automation in the industrial environment is precisely the mistrust of data,
especially data from third parties. Although the industries themselves in many cases
do not rely on automating some critical processes based on their own information
due to potential sabotages or failures, it is impossible to think that they will do it
based on third party information sources.
Blockchain offers reliability over our own information—thanks to the integrity
and strong authentication of our issuers—as well as over information provided
by third parties. Such reliability will allow greater automation and avoid many of
today’s low value-added manual processes that are provoked by a lack of confidence
in the data.
The decentralization of information and its immutability are also a major advan-
tage for critical industrial infrastructures (chemical, energy, etc.). According to
the latest recommendations for critical infrastructure protection like the European
Critical Infrastructure Protection (ECIP) or NIST Cybersecurity Framework, they
should be able to guarantee the custody of their data in the case of any fortuitous
incident (natural disaster, system failure) or deliberate incident (physical and/or
logical attack) for forensic analysis.
Nowadays, this custody of information in case of cyber incidents is practically
impossible to achieve since the attacker usually stays inside the system 146days
before executing the attack or being detected [19], and one of its objectives is to
meticulously study the infrastructure not only to maximize its impact but also to be
able to erase any trace once the cyberattack is executed.
This is why traditional backup systems and data replicas are usually eliminated
during the attack; however, if the infrastructure was connected to a blockchain
network, the attacker would have to completely erase each and every one of the
nodes of the distributed blockchain network to make their footprints disappear,
something totally unthinkable. In fact, during all the time that the attacker remains
investigating, the infrastructure is erasing his trail, so a simple periodic comparison
of the logs of the infrastructure itself against its unalterable copy in blockchain
could alert us of the existence of an intruder in the network or detect any change in
the machine code of our industrial devices.
However, although blockchain is postulated as the solution to IIoT’s architectural
design problems, it must be kept in mind that current solutions and ledgers must
evolve in order to respond to the needs of IIoT devices in real time (low latency,
bandwidth, message size). That is why in the blockchain, ecosystem begins to
emerge new developments and technologies aimed at overcoming this barrier
[20–22]. If this is achieved, the potential market and technological impact could
lead to the long-awaited paradigm shift we were talking about earlier.
. A new energy industry
In the last years, the energy sector has initiated a major transformation of the
electricity grid, the industrial infrastructure responsible for transporting and
distribution electricity from the generation plants to the consumer. The smart grid
Computer Security Threats
is a much more automated and resilient grid and offers unprecedented levels of
reliability and service continuity.
. Energy sector considerations regarding the previous section
The smart grid itself is a network of IIoT devices and is also considered a critical
infrastructure, so everything mentioned above about the advantages of using block-
chain in IIoT devices obviously applies directly to this industry.
Traceability is also relevant in the energy industry; therefore, at the end of 2018
ACCIONA announced, in collaboration with Tecnalia, the first proof of concept
for the use of blockchain to trace the renewable origin of energy. In this case the
fundamental objective of traceability is to guarantee the renewable origin of the
energy and thus differentiate the energy generated in a sustainable way.
Even so, since the initial experimentation, there are several utilities that have
made different proofs of concept, and we must distinguish between (i) the trace-
ability of energy from its point of origin, with information collected from the IIoT
itself (smart meters of the power plant) or (ii) the traceability made retrospectively
based on the data that the utility itself (not the machines) introduces in the block-
chain. The first one gives a total guarantee and trustworthiness; in the second case,
the reliability is given by the utility itself and does not have a superior value than a
report signed by the energy company itself.
Equally important is the interoperability and sovereignty of the data in a smart
grid in which different operators and manufacturers collaborate with a common
industrial objective—the grid resilience—but with competing business objectives.
. Prosumers and the value of energy data
We are facing a decentralization of energy production in part due to a new
participant in the ecosystem, the prosumer [23]. Prosumers, unlike a traditional
consumer—who simply consumes the energy provided by the smart grid—also are
able to produce its own energy (Figure ).
The proliferation of prosumers in the energy ecosystem is going to cause that
these consumers will have more information and detail than the utility itself, some-
thing unthinkable until now where every kilowatt consumed by a home or company
is accounted by the energy distributor.
These prosumers may be consuming energy without the utility being aware of it,
but they must provide service to the user if it punctually needs more energy than is
able to produce, either because of an increase in consumption, because the user has
photovoltaic generation on the roof but the day is cloudy, etc.
Figure 1.
Smart grid architecture and energy flows including prosumers.
Blockchain: From Industry 4.0 to the Machine Economy
DOI: http://dx.doi.org/10.5772/intechopen.88694
In fact, these users have critical information to operate the system that will be
extremely valuable for the stakeholders of the energy system in order to opti-
mize their processes and ensure the stability of the network. It will allow them
also to predict energy demand more accurately, avoiding deviations in the daily
markets, improving the balance of the grid, and so on. Even in the case of large
consumers, some companies offer optimized energy savings based on a baseline
measurement.
However, the user is increasingly aware of the value of these data and not only
because of their impact on the energy ecosystem. Starting from the detail of energy
consumption, it is possible to infer a quite exhaustive profile of the user and, for
example, to carry out a very good segmentation for marketing impacts.
The following transformation of the energy sector could be precisely based on
the exploitation of these data, and thanks to blockchain, users could have control of
them and therefore of their privacy.
. The core value of blockchain in the industry
After analyzing the results of different proofs of concept and the benefits
provided, we could say that blockchain can bring a number of differential features
to Industry 4.0.
Perhaps the most popular is the decentralization of processes and business
models. Blockchain provides by definition the intermediation between two parties
in a reliable way [24] that is why many processes and organizations whose main
value is the intermediation between parties can be optimized thanks to blockchain
technology. We will therefore see intermediaries that adopt technology to be more
efficient and robust, thus being able to offer a better service at more competitive
prices or consortiums of companies that invest in creating themselves platforms to
manage their relationships without depending on current intermediaries.
At the same time, blockchain offers an unalterable record of the history of any
asset or industrial good, so traceability on that record is natural for blockchain
technology. In addition, this record can be shared with third parties in an exercise
of transparency of their processes.
Blockchain offers a really efficient synchronization of processes; it provides us
with a single consensuated vision of the information related to industrial assets and
processes, something really important in cases where different players and informa-
tion systems must be coordinated to achieve a common industrial objective.
It is a perfect synchronization technology, resilient to network microcuts or
failures of the systems involved in the industrial process. These usual deficiencies
of the traditional technologies generate incoherencies in the data and consequently
incorrect decision-making due to a bad synchronization of the information shared
between the collaborating systems.
Finally, we should emphasize the blockchain capacity for process automation
thanks to being a reliable source of information by offering a synchronized, con-
sensual, and unalterable record on which we can also have a non-repudiation of
the information, as each participant signs each of their transactions as if it were a
digital contract in pdf.
As we have already commented, automating our industrial processes based on
information from third parties is really risky if the source is not reliable. Unlike the
technologies that we usually handle, blockchain offers us that certainty, even an
evidence that can be used to claim a third party if the recorded information is not
real or accurate.
Computer Security Threats
. Machine economy
The previous sections focused on explaining the results of proofs of concept and
analysis of the applicability of blockchain in Industry 4.0, mainly in the improve-
ment of processes and the creation of new products/services. In the current section,
the focus will be to introduce a new economic paradigm that arises from the merger
of industry, economy, and disruptive potential of blockchain, an area that precisely
because it is still very experimental opens different lines of future research, the
machine economy.
To understand the machine economy, we must first understand how we are
facing a new paradigm of decentralization and disintermediation, which is
already a small phenomenon in the world of currencies and will soon be a real-
ity in many other areas. Entities such as eBay or Amazon already have to face
the competition of OpenBazaar, an open-source blockchain software that offers
near the same value as those companies. At the same time, the highly appreciated
platform business models such as AirBNB or UBER are reflecting on what value
to contribute beyond intermediation; otherwise they will be disintermediated by
blockchain technology.
But the real potential of blockchain is not just to eliminate intermediaries; really
these “cryptocurrencies” are digital tokens that represent a value [25]. Obviously
the simplest application has been to create cryptocurrencies in which the blockchain
issued those tokens instead of a central bank, but those tokens can represent what-
ever we want. Those tokens can represent the possession of a house or the identity
of a person and all their history, but they can also represent the right to consume a
service, to make decisions about the future of an organization, etc.
And this is where the real disruptive change begins; with the so-called crypto
economy or token economy, an economy dominated by these tokens that is crypto-
graphically protected by the blockchain will change the rules of the game and allow
the total decentralization of the economy. In this new economy, the value will be
tokenized, and these tokens will represent very different values as we commented.
This token economy is already emerging, it started with the cryptocurren-
cies, and we have also lived a new paradigm in the search for funding for business
projects, in which under the name of initial coin offering (ICO) entrepreneurs with
disruptive ideas find a new blue ocean of funding [26–28]. These entrepreneurs sell
tokens that in many cases represent a service of that startup in the future, some-
thing similar to crowdfunding but totally globalized and without intermediaries
who must manage those rights of future use of a platform. But these projects are
going one step further than a simple decentralized crowdfunding; they are even
devising new types of autonomous and decentralized organizations known as
decentralized autonomous organizations (DAO) [29].
These organizations are created and financed by the community in order to offer
an autonomous service thanks to blockchain. Imagine that we are tired of Google,
Twitter or Facebook continues to earn money with our personal data, but we do
not want to lose its functionality. Blockchain allows the community to finance and
launch a new social media, or any other service, but without being managed by any
for-profit entity, nor has a company registration number (CRN) in any country. It
will be a virtual organization offering the service and relying on the community to
perform those tasks that cannot perform by itself as investment decisions or strat-
egy. So the community itself will run this virtual organization in a format similar to
how a federation of worker cooperatives works.
This organization will be able to charge for its services and reinvest all the ben-
efits in the development of improvements, new functionalities, etc. These organiza-
tions could also share part of those benefits with their promoters and community or
Blockchain: From Industry 4.0 to the Machine Economy
DOI: http://dx.doi.org/10.5772/intechopen.88694
simply offer these users free services. In this type of organizations, the “shareholder
pact” has been programmed since its creation, “code is law.” In fact, the change of
these rules will have to be agreed by the community of users.
Machine economy is precisely to transfer this concept of DAO to the machines;
we could be in front of a new evolution of the IoT.Let us imagine, for example,
something we all know, a car. In a few years, it would not be difficult to imagine that
there are a significant number of users who do not have a car and that there is a fleet
of cars at their disposal.
These cars could be sovereigns; they could have their own identity, history, and
even their own “wallet” to store digital value (tokens) that they will use to manage
and store the value they receive by offering their transport services to passengers, as
well as to pay for their recharges, tolls, cleaning, and maintenance.
In this way, we turn this car into an economic agent itself, with its own economy,
self-sufficient, and even with its own business model. What’s more, this car would
foster new micro-service ecosystems around it.
Let us go a little deeper into tokenomics and the machine economy. These cars
could be offered by a company, in a similar way to the traditional model. But thanks
to blockchain, this could be financed as a kind of crowdfunding in which a DAO
would be created with the initial investment, and gradually it would increase the
fleet, grow geographically, and even replace old vehicles. The DAO would also be
able to offer truly affordable costs to its customers and allow token owners gover-
nance, decision-making, and profit-sharing.
In this way, transport could be outsourced to the machines; the same outsourc-
ing exercise could be carried out to other machines—robots—for the washing of
these cars, their maintenance, carried out by robots and even the printing of parts
on demand, the rubbish collection service, etc.
The token economy aims to return the power to the citizenry, and thanks to
being a fully digital economy, machines can be active agents of it, thus generating
their own economy, the economy of machines.
However, nowadays the machine economy is mainly an experimental concept
that requires solving different challenges. Some of these research challenges are (i)
secure hardware-based digital identity, (ii) interoperability an data sovereignty,
(iii) more scalable and computationally efficient DLT architectures, or (iv) distrib-
uted machine governance model, between others.
. Conclusions
In this chapter we have analyzed the general applicability of blockchain technol-
ogy to the new paradigm of the Fourth Industrial Revolution, and due to its par-
ticular peculiarities, we have made a brief analysis of the specific case of the energy
sector.
Based on our analysis and experimentation, we have selected three main lines of
generic application for Industry 4.0: (i) traceability, (ii) interoperability and sover-
eignty of industrial data, and (iii) IIoT reliability. Moreover, in the case of energy,
beyond exposing any particularity linked to IIoT or energy traceability, the analysis
has focused on the prosumers and the value of their data in a new decentralized
energy ecosystem.
As an outstanding contribution, the conclusions on the real value of blockchain
in the industry should be pointed out, where abstracting from any specific scenario,
the value of blockchain technology in this sector is analyzed in a universal way. The
results are four main values of the technology, which in addition to being really
the core of the analyzed cases could become applicable in other sectors. These
Computer Security Threats
differential features can be very useful to detect in an agile way if the application of
the blockchain technology in a project contributes with a differential value in front
of the rest of technologies of the state of the art.
Finally, we end with a reflection on a new paradigm that we have discovered
during our research, and that may open different lines of future research, the
Machine Economy.
Acknowledgements
This work was performed with the financial support of the ELKARTEK
2018 (CyberPrest project, KK-2018/00076) research program from the Basque
Government.
Author details
OscarLage
TECNALIA, Parque Científico y Tecnológico de Bizkaia, Spain
*Address all correspondence to: oscar.lage@tecnalia.com
© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms
of the Creative Commons Attribution License (http://creativecommons.org/licenses/
by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited.
Blockchain: From Industry 4.0 to the Machine Economy
DOI: http://dx.doi.org/10.5772/intechopen.88694
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