Accelerating the Industrial Internet of Things
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Auvesy

Data Management for Automation
Germany
2007
Private
$10-100m
51 - 200
Open website
AUVESY GmbH is a solid medium-sized enterprise based in Rhineland-Palatinate, Germany. The software versiondog offers worldwide a secure solution for version control and data management in industrial automation. This leading version control software is the basis to heighten production efficiency by reducing errors and downtime; and monitor and control automation projects.

Year founded: 2007
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When AUVESY talks about the Internet of Things (IoT), they are not just talking about smart factories, but also smart products. The combination of the two means that the production of small batches and one-off products becomes practical even in highly automated facilities.

versiondog is the certified enterprise solution for software and data management in the automated production. With versiondog, customers can make automated backups of their data and at the same time have a powerful versioning system for project data and documentation, including integrated lifecycle management.

versiondog interprets data and programs of the different automated components and automates the administration of the flood of data and versions, which accrues in every production. versiondog does not only administrate all this project data but controls, analyses and monitors all changes in the devices and that automatically. The current producing program, the used parameters and set points as well as the clear version allocation are available at any time.
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Space-X, CERN, Daimler, GM, Ford, BMW, Audi, Volkswagen, Volvo, Porsche, Bosch, Continental, Mann & Hummel, ZF, Brose, Nestle, Coca Cola, Kraftfood, Mars, Airbus, Benteler, Eisenmann, Dürr, Roche, Boehringer Ingelheim, Fresenius, Sun Chemical, RWE, Vattenfall
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Hardware
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
Training programs range from executive workshops to technical programs intended to upgrade workforces with IoT expertise.
Number of Case Studies13
Process Control System Support
Process Control System Support
In many automated production facilities, changes are made to SIMATIC PCS 7 projects on a daily basis, with individual processes often optimised by multiple workers due to shift changes. Documentation is key here, as this keeps workers informed about why a change was made. Furthermore, SIMATIC PCS 7 installations are generally used in locations where documentation is required for audits and certification.The ability to track changes between two software projects is not only an invaluable aid during shift changes, but also when searching for errors or optimising a PCS 7 installation. Every change made to the system is labour-intensive and time-consuming. Moreover, there is also the risk that errors may occur. If a change is saved in the project, then the old version is lost unless a backup copy was created in advance. If no backup was created, it will no longer be possible to return to the previous state if and when programming errors occur.Each backup denotes a version used by the SIMATIC PCS 7 system to operate an installation. To correctly interpret a version, information is required on WHO changed WHAT, WHERE, WHEN and WHY:- Who created the version/who is responsible for the version?- Who released the version?- What was changed in the version i.e. in which block or module of the SIMATIC PCS 7 installation were the changes made?- When was the version created? Is this the latest version or is there a more recent version?- Why were the changes made to the version? If they are part of a regular maintenance cycle, then is the aim to fix an error or to improve production processes?- Is this particular version also the version currently being used in production?The fact that SIMATIC PCS 7 projects use extremely large quantities of data complicates the situation even further, and it can take a long time to load and save information as a result. Without a sustainable strategy for operating a SIMATIC PCS 7 installation, searching for the right software version can become extremely time-consuming and the installation may run inefficiently as a result.
New Business Models in Maintenance
New Business Models in Maintenance
Everything that can be automated will be automated, and it is up to us, as people, to learn how to adjust to this developmentWith the advent of the networking of processes and the Industrial Internet of Things, IT has further cemented its place in the production facilities of modern enterprises and is now set to revolutionise the way in which maintenance is approached. The Chamber of Industry and Commerce has its hands full when it comes to making sure that vocational and training concepts both accompany and keep up with these developments. Many employees are anxious, believing that the ongoing digitalisation of the world of work will result in greater job insecurity; a general misconception which regrettably continues to abound. The fact that digitalisation is set to provide both new opportunities and challenges, and that not every workplace is in danger, is often conveniently overlooked in the surrounding hype. It’s as if history is due to repeat itself every time any major industrial revolution occurs. Production workers begin to fear for their jobs and fear of change in the workplace remains high. Nevertheless, production is subject to constant change and we must all learn to adapt. Today, it is IT, in the wake of the IIoT, which stands to replace traditional rosters and blackboards. What’s more, the advent of employees directly communicating with machines via speech in order to reset them is also fast approaching. Voice-control has already gained general acceptance, but an even greater degree of trust in technology is required. If no changes are made to the way you work, the sudden advent of digitalisation may make it appear as though things are out of place or even missing. That isn’t to suggest that there was a time in which IT didn’t exist in the realm of production; such a statement wouldn’t be true, as evidenced by the fact that, in times past, maintenance staff spent an inordinate amount of time making their rounds accompanied by a programmer’s notebook, which had different editors to program components and helped to facilitate communication between human and machine. Nevertheless, the fact remains that the networking of processes continues to generate considerable uncertainty.Customised productionThe introduction of online marketing has resulted in a large percentage of industrial production being tailored to fit the customer. Affiliate marketing allows you to find out much more about your customers, their behaviour as consumers, and the underlying motives that drive their decision making. Thus, in certain sectors, it no longer makes sense to produce products, place them in storage units, and then wait until they are sold off. Instead, it is becoming the norm to make predictions according to customer decisions or trends. By using information gathered from CRM systems, customer feedback and digital sales statistics, it is possible to determine the colours, form, and features that a customer would desire a future product to have. It is also possible to produce products in such a way that the targeted customer immediately purchases them, thus resolving the need to store the products away until such a time as they are sold. Customised production places high demands on maintenance. Common topics that are frequently brought up in addition to classical and continual improvement processes include: - Preventive Maintenance- Corrective Maintenance- Condition-related maintenanceThe umbrella term ‘predictive maintenance’ is often used to encompass the topics listed above. Predictive maintenance is a strategy that is based on real-time data taken from production. It permits you to quickly recognise and respond to problems or results which were not visible in the past, but which are now, thanks to new advances in technology (e.g. condition monitoring), immediately detectable.What does the process of networking involve?When surveying a newly digitalised production hall for the first time, the first difference that one notices is that a specific IP address has been assigned to all automated devices connected to the network, which allows for data to be received and sent. These automated devices can be completely different from each other. It does not matter. What does matter (where plant or machine controllers are involved) is the PLC (programmable logic controller). A digital network topology looks as such: sensors, drives, and actuators move things around; robots weld, solder, press and pack; and HMI/SCADA systems supervise the processes. Then there are presses, drills, machine tools, milling processes, and much more. Generally, there is a different editor used to program each type of automated device type. There are very few uniform standards when it comes to software editors and thus automation engineers cannot use the same software to program a wide range of devices. Visual programming languages in DIN EN 61131-3 are regulated, however, each editor has its own special features and they are seldom compatible. Editors continue to be further developed if only for the purpose of continuously updating them to support current operating systems. Software developers are eager to offer their customers ongoing updates, the reason for which lies in the fact that customers do not have any reason to pay for software editors that have reached the end of their development. They will only pay for new developments. For maintenance staff, this trend necessitates them to undergo constant further training in order to understand and implement the latest functions and features brought out by the software developer. In that regard, it is interesting to note that, even as the number of people present in the production hall continues to decline, the number of maintenance staff continues to grow. This stands in stark contrast to the hype about the human factor becoming an obsolete element when it comes to production; on the contrary, the human factor will continue to grow in importance, especially when it comes to fixing unplanned malfunctions and errors that may occur to the complex machines and systems during production.All visions involving the future state of digital production thus have one thing in common and that is the fact that people will continue to play a vital role: the ability to understand the complex connections between numerous machines, controllers and programs, will continue to be a sure-fire guarantee of success.
versiondog on the Trial of Big Bang
versiondog on the Trial of Big Bang
Backing up and monitoring of Industrial control system programs for the Large Hadron Collider (LHC) at CERN near Geneva, the world´s largest particle accelerator, has been entrusted to the data management system versiondog. The European Organization for Nuclear Research uses the system to manage the data of around 500 components, making versiondog one of CERN's standard technologies.
Number of Software1
versiondog
versiondog
versiondog is the leading version control and data management software solution for industrial automation. versiondog brings order and clarity where project data needs to be continually changed and made available from a central source. The increased safety, security and certainty provided by this software system quickly results in measurably increased productivity. versiondog makes it easy for you to optimise the interplay between all your different types of robots, controllers, field devices, drives, programming languages, file formats and software applications.This data management system gives you ultimate data traceability, minimising your risks and costs, and saving you time and effort.
Number of Memberships1
E-Factory Alliance
E-Factory Alliance
The E-Factory was born out of the expertise ME has developed as a global manufacturing enterprise.As the founder and leading member of the e‑F@ctory Alliance, Mitsubishi Electric's Factory Automation solutions can help solve the significant challenge of increasing the performance of existing plant infrastructure, with its mixed control systems and legacy systems architecture, by improving the delivery of plant information to MES/ERP systems.
Number of Similar Vendors8
Bright Wolf
Bright Wolf
Bright Wolf is a technology provider and trusted partner for Fortune 1000 companies building transformative Enterprise-class connected product solutions. We offer complete design consulting, development, and systems integration services for Industrial IoT projects, as well as production operational support to commercialize and maintain successful connected offerings at scale.Our industrial reference applications and solution templates bring a faster path to production on the public cloud, in your datacenter, and at the edge, providing complete data modeling and management, sophisticated policy-driven access controls, device lifecycle management, and out-of-the-box enterprise system integration.Our customized solutions leverage your choice of cloud infrastructure and tools, to which we bring decades of expertise with industrial controls and protocols, embedded systems, and intelligence at the edge. Global production deployments include Manufacturing, Oil & Gas, Healthcare, Agriculture, Smart Building, Heavy Equipment, and other industries for Asset Management, Predictive Maintenance, and Yield Optimization. Bright Wolf solutions have been deployed on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
relayr
relayr
relayr is a rapidly-growing IoT company, delivering the most complete IoT solutions on the market for the digital transformation of industries. relayr’s protocol-agnostic IoT middleware platform, device management and analytics capabilities, open-source SDKs, and nimble professional services teams are trusted by hundreds of companies worldwide. With relayr, businesses are empowered to implement fully interoperable IoT solutions guaranteed to achieve their target business outcomes.Smarter connectivity. Better business outcomes. Guaranteed.
PINpoint Information Systems Inc.
PINpoint Information Systems Inc.
Lean manufacturing is about eliminating waste, reducing cost, improving efficiency, and quality: PINpoint Information Systems takes you there. Working alongside and pushed-forward by leading manufacturers, we've been championing "Continuous Improvement" since 1997. We are a leading manufacturing execution system (MES) / manufacturing operations management (MOM) software developer.
Number of Partners10
ABB
ABB
ABB is a global leader in power and automation technologies. Their solutions improve the efficiency, productivity and quality of their customers’ operations while minimizing environmental impact.
General Electric (GE)
General Electric (GE)
GE is a diversified specialty equipment, infrastructure and financial services company. Their products and services range from aircraft engines, power generation, oil and gas production equipment, and household appliances to medical imaging, business and consumer financing and industrial products. GE believes new technologies will merges big iron with big data to create brilliant machines. This convergence of machine and intelligent data is known as the Industrial Internet, and it's changing the way we work.Year founded: 1892Revenue: $148.5 billion (2014)NYSE: GEFeatured Subsidiaries/ Business Units:- GE Digital- GE Predix- GE Intelligent Platform- Wurldtech
Siemens
Siemens
Siemens is the largest engineering company in Europe. With their positioning along the electrification value chain, Siemens has the knowhow that extends from power generation to power transmission, power distribution and smart grid to the efficient application of electrical energy.Featured Subsidiaries/ Business Units:- Digital Factory- Siemens Technology to Business (TTB)
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