What is OPC?

The acronym “OPC” stands for “OLE (Object Linking and Embedding) for Process Control”. OLE is based on the Windows COM (Component Object Model) standard.

OPC standard is implemented in server/client pairs. The OPC server is a program that translates the hardware communication protocol used by a PLC into the OPC protocol. The OPC client software is a program that connects to the hardware, such as an HMI. The OPC client communicates with the OPC server to receive data or send commands to the hardware.

How does OPC work?

OPC specification describes the interface between clients and servers, servers and servers, including access to real-time data, monitoring of alarms and events, access to historical data and other applications.

The classic OPC connection scenario is a single server-client connection on a single computer, but there are more options which include:

• Connecting an OPC client to several OPC servers. This is called OPC aggregation.
• Connecting an OPC client to an OPC server over a network. This can be done with OPC tunneling
• Connecting an OPC server to another OPC server to share data. This is known as OPC bridging

Technical Benefits of OPC

In addition to improving OPC server and client connections, the OPC DataHub can connect any OPC server or client to other applications as well, including Excel, a web browser, or any other database. And, it can be used to import OPC data into Linux or QNX.
Usage

Following OPC specifications are used in industries:

• OPC-DA (Data Access): Provides access to real-time data. We can query most recent

values of temperature, pressure, density, acceleration, and other types of process control data from OPC-DA server.

• OPC-HDA (Historical Data Access): This is used to retrieve historical process data for analysis. This data is typically stored in files, databases or remote telemetry systems.
• OPC-AE (Alarms & Events): OPC AE servers are used to accept and exchange

process alarms and events.

• OPC-DX (Data eXchange): It defines the way OPC server data is exchanged with other OPC servers.
• OPC-XML (XML Data Access): It defines schema and data representation formats based upon XML standard. This makes it possible to share & manipulate process control data across all operating systems – Windows, UNIX, Solaris, etc.

Benefits of using OPC standard are:

• Reduced load on the hardware device.
• Increased scalability of the system.
• Because of OPC server, client applications need not know anything about hardware protocol details.
• Though device need not serve multiple clients, So Increased life for the device.
• Interoperability (Unix/Linux and Windows – both platforms are supported by OPC)
• Standardization

eInfochips – OPC implementation

At eInfochips, we have provided embedded solutions for OPC’s industrial automation product line for our clients in embedded solutions. This includes detailed work on:

• BIS systems: Building Integration System , or BIS, is a software package that brings building automation, access control, video surveillance, intrusion, fire alarms and voice evacuation onto one convenient management suite. The classic OPC Server had implemented specific protocol over TCP/IP protocol to monitor and control different types of building integration system panels, which is able to interface with OPC client of the BIS system software.
• System alerts: In OPC Server, we had implemented OPC-DA (Data Access), OPC-HDA (Historical Data Access) and OPC-AE (Alarms & Events) specifications. For controlling and monitoring panels, OPC client fires different commands to the panels by using OPC server e.g. unlock door, lock door, arm area etc.

OPC server developed by eInfochips contains the following modules, functionalities and activities, listed below.

To know more about the IoT services and solutions

• Design, Development and Testing of OPC Classic server for different panels used in a building integration system with specific Automation protocol
• Implementation of following group commands on OPC Server,
  • System
  • Panel
  • Door
  • Area
  • Output
  • Point
• OPC server communication stacks integration (TCP)
• OPC server security – Command Authentication AES 256
• Client and status command implementation

We have also developed OPC Clients for our customers, running on Linux OS to communicate with OPC server over Ethernet. This further communicates with OPC server for Reading and Writing data/parameters. In OPC Client, we had implemented OPC-DA (Data Access), OPC-HDA (Historical Data Access) and OPC-AE (Alarms & Events) specifications. OPC Client will communicate with OPC Server for fetching data from the PLC. At the other end, it will send/receive historical and live data of temperature, pressure, density, acceleration etc. from the OPC server to the cloud for storage and analysis.

To know more about how we can help you with OPC implementation for your building automation needs, Learn more about our Industrial Automation Solutions or digital engineering services

From smart devices and home automation systems to smart cars and smart buildings, the Internet of Things brings important innovations in our life. In the next years, IoT solutions will continue to take the center stage in the tech environment.

With huge investment in this technology, the global IoT spending is expected to reach $1.29 trillion by 2020 and $1.4 trillion by 2021 (IDC report).

For now, manufacturing industry is still the main investor in the Internet of Things. According to recent surveys, 66% of manufacturers say that the use of IoT solutions is essential for staying competitive and resolving various issues.

Smart factories

Capgemini research reported that smart factories are going to add $500 billion to $1.5 trillion in value added to the global economy in 5 years. By now, 56% of manufacturing companies have already invested $100M in smart factory initiatives.

Today the creation of smart factories with the Internet of Things is gaining momentum and so far, only 6% of manufacturers can be designated to “Digital Masters”, an advanced stage in digitizing various production operations with a strong foundation of smart management, process automation, and employee skills.

Analysts expect smart factories to revolutionize the industry by providing a 7X increase in overall productivity by 2022. Among the most interesting findings, Capgemini reports smart factories will be able to speed up on-time delivery of finished products by 13 times, with the enhancement of quality indicators at more than 12 times the rate of improvement since 1990.

Also, Capital Expense & inventory costs will be rationalized 12 times and material, logistics and transportation costs are predicted to be optimized at 11 times the rate of improvement since 1990.

On the graphic below you can see a comparison of manufacturer’s annual gains since 1990 versus expected annual gains referred to smart factory technologies in the next 5 years.

Besides the Internet of Things, contributing technologies to smart factories also involve Big Data Analytics, machine learning, advanced robotics, and 3D printing, while cloud computing platforms unify all of these technologies together, leading to more rapid smart factory adaptation and bringing revolution in the industry.

IoT use cases in manufacturing

With smart connections of multiple devices, equipment, and production processes, manufacturers get such benefits as minimized human intervention, remote machinery maintenance, employee safety, production automation, and reduced operational costs.

The main IoT applications include:

• Production flow monitoring - leads to flow optimization, minimize waste, and reduced labor and operational costs.
• Remote equipment monitoring & management - Results in saved energy and reduced costs. Predictive analytics allows repairs and replacements to be automatically ordered even before something breaks.
• Condition-based maintenance notifications - enables to successfully maintain machinery health and increase throughput.

• Supply chain management - 

  with the help of vehicle and asset tracking, you improve the efficiency of manufacturing and supply chain operations.

   

   

There is a plenty of other successful IoT use cases in manufacturing: equipment predictive maintenance, vehicle and asset tracking, temperature/energy conservation/air quality control, facility management, smart ventilation, production flow monitoring, and smart radiation monitoring and measurement.

By integrating a smart factory initiative, you can connect all production stages, accelerate production, enhance various management processes, ensure working safety, reduce operational costs, and improve the entire company performance.

By now, most manufacturers have heard of the promise of the Industrial Internet of Things (IIoT).

In this bold new future of manufacturing, newly installed sensors will collect previously unavailable data on equipment, parts, inventory and even personnel that will then be shared with existing systems in an interconnected “smart” system where machines learn from other machines and executives can analyze reports based on the accumulated data.

By doing so, manufacturers can stamp out inefficiencies, eliminate bottlenecks and ultimately streamline operations to become more competitive and profitable.

However, despite the tremendous potential, there is a palpable hesitation by some in the industry to jump into the deep end of the IIoT pool.

When asked, this hesitation stems from one primary concern: If we invest in IIoT, what specific ROI can we expect and when? How will it streamline my process such that it translates into greater efficiencies and actual revenue in the short and long term?

Although it may come as a surprise, the potential return can actually be identified and quantified prior to any implementation. Furthermore, implementations can be scalable for those that want to start with “baby steps.”

In many cases, this is being facilitated by a new breed of managed service providers dedicated to IIoT that have the expertise to conduct in-plant evaluations that pinpoint a specific, achievable ROI.

These managed service providers can then implement and manage all aspects from end-to-end so manufacturers can focus on core competencies and not becoming IIoT experts. Like their IT counterparts, this can often be done on a monthly fee schedule that minimizes, or eliminates, up-front capital investment costs.

DEFINING IIOT

Despite all the fanfare for the Internet of Things, the truth is many manufacturers still have a less-than-complete understanding of what it is and how it applies to industry.

While it might appear complicated from the outside looking in, IIoT is merely a logical extension of the increasing automation and connectivity that has been a part of the plant environment for decades.

In fact, in some ways many of the component parts and pieces required already exist in a plant or are collected by more manual methods.

However, a core principle of the Industrial “Internet of Things” is to vastly supplement and improve upon the data collected through the integration of sensors in items such as products, equipment, and containers that are integral parts of the process.

In many cases, these sensors provide a tremendous wealth of critical information required to increase efficiency and streamline operations.

Armed with this new information, IIoT then seeks to facilitate machine-to-machine intelligence and interaction so that the system can learn to become more efficient based on the available data points and traffic patterns. In this way, the proverbial “left hand” now knows what the “right hand” is doing.

In addition, the mass of data collected can then be turned into reports that can be analyzed by top executives and operations personnel to provide further insights on ways to increase operational savings and revenue opportunities.

In manufacturing, the net result can impact quality control, predictive maintenance, supply chain traceability and efficiency, sustainable and green practices and even customer service.

BRINGING IT ALL TOGETHER

The difficulty, however, comes from bridging the gap between “here” and “there.”

Organizations need to do more than just collect data; it must be turned into actionable insights that increase productivity, generate savings, or uncover new income streams.

For Pacesetter, a national processor and distributor of flat rolled steel that operates processing facilities in Atlanta, Chicago and Houston, IIoT holds great promise.

“At Pacesetter, there are so many ways we can use sensors to streamline our operation, says CEO Aviva Leebow Wolmer. “I believe we need to be constantly investigating new technologies and figuring out how to integrate them into our business.”

Pacesetter has always been a trendsetter in the industry. Despite offering a commodity product, the company often takes an active role in helping its customers identify ways to streamline operations as well.

The company is currently working with Industrial Intelligence, a managed service provider that offers full, turnkey end-to-end installed IIoT solutions, to install sensors in each of its facilities to increase efficiency by using dashboards that allow management to view information in real time.

“Having access to real-time data from the sensors and being able to log in and see it to figure out the answer to a problem or question so you can make a better decision – that type of access is incredible,” says Leebow Wolmer.

She also appreciates the perspective that an outsider can bring to the table.

“Industrial Intelligence is in so many different manufacturing plants in a given year and they see different things,” explains Leebow Wolmer. “They see what works, what doesn’t, and can provide a better overall solution not just from the IIoT perspective but even best practices.”

For Pacesetter, the move to IIoT has already yielded significant returns.

In a recently completed project, Industrial Intelligence installed sensors designed to track production schedules throughout the plant. The information revealed two bottlenecks: one in which coils were not immediately ready for processing – slowing production – and another where the skids on which they are placed for shipping were often not ready.

By making the status of both coil and skids available for real time monitoring and alerting key personnel when production slowed, Pacesetter was able to push the production schedule through the existing ERP system.

This increased productivity at the Atlanta plant by 30%. Similar implementations in the other two facilities yielded similar increases in productivity.

TAKING THE FIRST STEP

According to Darren Tessitore, COO of Industrial Intelligence, the process of examining the possible ROI begins with a factory walk-through with trained expertise in manufacturing process improvement and IoT engineers that understand the back-end technologies.

A detailed analysis is then prepared, outlining the scope of the recommended IIoT implementation, exact areas and opportunities for improvement and the location of new sensors.

“The analysis gives us the ability to build the ROI,” says Tessitore. “We’re going to know exactly how much money this will make by making the changes. This takes much of the risk out of it so executives are not guessing how it might help.”

Once completed, a company like Industrial Intelligence can then provide a turnkey, end-to-end-solution.

According to Tessitore, this covers the entire gamut: all hardware and software, station monitors, etc.; the building of real-time alerts, reports & analytics; training management on how to use data points to increase profits; and even continuously monitoring and improving the system as needed.

“Unless you’re a huge company, you really don’t have somebody who can come in and guide you and create a cost effective solution to help you compete with the larger players in the space,” says Pacesetter’s Leebow Wolmer. “I think that’s what Industrial Intelligence offers that can’t be created on your own.”

“It’s not a one-size-fits-all approach,” she adds. “They have some things that can give you a little bit of IIoT or they can take an entire factory to a whole new level. By doing this they can be cost effective for a variety of sizes of organizations.”