Remote - M2M 2015 - (Page 14)
Feature Article
M2M with HMI
Richard Clark, InduSoft Web Studio Application Developer at Wonderware
Schneider Electric
Machine-to-machine (M2M) networking and communications have been around for decades, but what's new is the ease with
which data can be shared among machine control and monitoring system Human Machine Interfaces (HMIs), and from machine
HMIs to remote monitoring devices such as PCs, smartphones and tablets.
The relevant parts of machine control and monitoring systems for M2M are the controller and the HMI. Although many early
M2M implementations used controller-to-controller communications, this approach has lost favor because it's only practical when
all of the controllers are from the same supplier, preferably of the same make and model.
By contrast, HMI-to-HMI communications allow more
universal communications because most HMI hardware has
Table 1: Requirements for HMI Communications
an Ethernet port, and the majority of HMIs have at least one
* Ethernet port
common Ethernet-based protocol. Add in widely supported
* Common Ethernet protocol, such as Ethernet IP or Modopen communication standards like OPC and PackML, and
bus TCP/IP
most HMIs are ready for communication configuration right
*
Common schema, such as OPC or PackML
out of the box, regardless of the supplier. All that's needed is a
*
Ability to easily configure communications within HMI
way for the end user to easily configure and set up communicasoftware
tions among HMIs, a feature supported by most modern HMI
software (Table 1).
Typically, each machine will have its own HMI, and these machine HMIs will connect to a supervisory HMI, which monitors the
operation of an entire production line. One or more supervisory HMIs often then connect to one or plant-wide HMIs, which give
visibility of an entire plant.
Once HMI-to-HMI communications are set up, M2M technology allows networked devices to share data and perform actions
automatically, with little or no manual intervention required. This article will briefly review M2M benefits, and then discuss M2M
implementation using off-the-shelf HMI technology.
M2M Benefits
Table 2: Benefits of M2M
There are many benefits of M2M communications, and of
* Collect, integrate and organize machine sensor data
communications among machines and remote monitoring de* Improve integration among machines
vices (Table 2). Without the ability to collect, analyze and under* Improve performance and efficiency of entire line or
stand sensor and production data from each machine - it may be
plant
extremely difficult to understand how much production capabil* Provide real-time information for business intelligence
ity is potentially being lost, or how much additional maintenance
* Enable predictive and preventative maintenance
is being performed due to machine operational inefficiencies.
* Provide input to big data systems for analysis and
Often, a slight decrease in efficiency at a single machine
improvements
can cascade through a production line resulting in an overall
* Enable remote monitoring and control
efficiency loss of 5 to 10 percent or more. This is because one
machines output is another machine's input, causing a production line to run at the speed of the slowest machine.
M2M integration creates process and manufacturing benefits and efficiencies because process and machine data is shared and distributed, which allows for several independent machines in a production line to operate as though they were a single integrated unit.
In these situations, the use of an intelligent HMI or intermediate SCADA system therefore becomes imperative as the mechanism to
link and coordinate machines and their control systems.
With the machines linked and coordinated, these intelligent HMIs can also connect to business intelligence systems. Dashboards
showing real-time process information - and predictive and preventative maintenance data - are valuable to operators, engineers
and management.
As the amount of data collected by each HMI grows, M2M provides an important connection to big data systems. Without big
data system's analysis tools that can take all the integrated data of each machine and or process, it becomes extremely difficult to
understand what is happening across the entire manufacturing line. But with big data gathering and analyzing powered by machine
HMIs, comprehensive analysis becomes possible, revealing issues that often can't be spotted by simple observation.
Additionally, modern HMI software packages have the ability to communicate and view data on portable or mobile devices. This
aids process troubleshooting, maintenance, alarm/event acknowledgement, and remote operation of individual machines, production
lines and entire plants.
Machines utilizing flexible HMI software that can be modified and communicate to other machines is a requirement for M2M
14
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Table of Contents for the Digital Edition of Remote - M2M 2015
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