IoT Mining Industry: Benefits and Challenges

Running head:IOT MINING INDUSTRY
IOT MINING INDUSTRY
MERLA HARIPRASAD
University name
Author Note

Milestone 1
Executive Summary
The main purpose of this assignment is to know about the broad concept of IoT Mining Industry
or Internet of Things Mining Industry. The IoT or Internet of Things is the specific connection of
various objects like the appliances, embedded devices, equipments, various computing machines,
sensors and other important and significant devices within the various technologies. It is thus
referred to as the fact that this IoT can be utilized for connecting each and every object with the
significant potential to transform or change the entire mining industry by means of creation of
the newer methods to maintain the mine safely and securely and hence improvising the
productivity. The entire technology solely includes the various connecting equipments, fleets and
radio frequency identification device or RFID as well as the sensor technologies. This research
report has focused on the various details regarding Internet of Things within the mining industry
and how mining industry is getting benefitted from the technology of Internet of Things or IoT.
Milestone 2
Introduction of Problems
The huge amount of data produced by Internet of things are ruminate of data mining
algorithm and high business value that can be utilized to IOT to extract encrypted information
from raw data (Rogers et al., 2017). The main aim of the data mining process is to create an
effective predictive or descriptive model of a huge amount of data that can not only define it but
is also able to generalize to new data. The Internet of Things will generate large scale data of
smart objects. Therefore, it is essential to contemplate how to manage data of IOT efficiently and
how to improve online analytical query and processing conveniently. The entire mining industry

is extremely benefitted from the technology of Internet of Things (Sganzerla, Seixas & Conti,
2016). There are various uses of this particular technology within the mining industry. The first
and the foremost advantage of the Internet of Things or IoT in the mining industry is that it helps
to automate the overall maintenance as well as machine operations effectively and efficiently.
This eventually leads to the significant creation of the new collaborative models with the various
operational business models to properly monitor through the connectivity of the cloud as well as
networks (Sharma, Sharma & Gupta, 2017). The second important advantage of this Internet of
Things within the mining industry is that the processes are well standardized without any type of
complexities. Moreover, the traceability as well as visibility of the data within the mining
industry is solely improved or improvised by the help of the technology or IoT of Internet of
Things within the mining industry. The next significant benefit of the technology of the Internet
of Things or IoT is to ensure the proper security and safety of the people and various equipments
(Sindhu et al., 2017). The functionality of the data mining process enable the interest of
discovering knowledge from huge amount of data located in repositories such as data
warehouses and database. There are certain challenges occurring for the quantity of the large
amount of data sources while the quality is low extracted from different data sources. The
challenges are mainly focused on data mining system, data mining algorithms and data
extracting. Data mining challenges are most for extracting and accessing huge amount of data
from several repositories such as data warehouses and database. There are certain aspects to deal
with such as noise of the data, variety heterogeneity for these challenges. However it is also a
huge challenge to correct the issues and modify traditional algorithms associate with IOT. Other
challenges arrive to mine incomplete and uncertain data for big data applications (Sun et al.,
2012). In the data mining process the sharing data among several system and applications in an

effective and secure way is one of the main challenges. Sensitive data such as medical record and
banking transaction can be compromised which should be a matter of concern.
Structure of the report
This section provides the clear definition of the structure followed in this report. There
are several sections of this report for clearly describing the security and privacy regime in IOT.
In every section there is proper heading with suitable subheading to demonstrate the broad about
security and privacy regime associate with IOT. The demonstration of the followed structure is
following-
 Executive Summary: Executive summary is the first part of the report where the
summary of the whole report is presented. This section discusses about the Big Data
challenges in the IOT. It helps to understand the whole report in short time. These
sections also provide the brief summary of the whole content.
 Introduction: This part discuss about the basic challenges associate with the topic. It
provides basic understanding of the chosen topic. It broadly describes the basic
knowledge of big data and what are the challenges associates with the increment of data
set. It also explains familiar application of big data associate with the IOT and cloud.
 Literature Review: this part of the project discuss about the published literature on the
relevant topic. It provides a broad understanding of previous literature and the finding of
that literature with reflection. This section provides a board review of existed research
papers conducted through many sources such as Google scholar and e-libraries.
 Methodology: this is one of the crucial parts of the project where the suitable method will
be chosen for completing the report. After reviewing and compare past and previous
methodologies my own perspectives are illustrated. This section illustrates five