Accelerating the Industrial Internet of Things
Log In

Auvesy

Data Management for Automation
Germany
2007
Private
$10-100m
11 - 50
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

Read More

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.

Read More

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

Read More
Hardware
Software
Software that ingests data and visualises it to generate insights to answer specific questions
Software that focus on securing devices, machines, and communications between them.
Providing the infrastructure to store and manage data.
Services
Bringing together software, hardware, middleware, and infrastructure components to build an end-to-end solution based on specific client requirements.
Developing custom software for specific uses and operating environments/needs.
Number of Case Studies13
Versiondog Comes for Coffee
Versiondog Comes for Coffee
“Well before it went live, we had worked out a clear plan for exactly how we were going to use the new versiondog versioning and data management software from AUVESY,” says Michael Mrugalla, who works in process automation at the Mainz plant. “We also had to think about what backups really meant for us. With all our field devices, control programs, drive systems, programming languages, file formats and software applications, we needed to know precisely what we have to back up in case a breakdown (e.g. a power outage) stops production. Because the whole point of making a backup is to be able to recover data quickly and easily when something goes wrong and continue working as if nothing had happened. But that means more than simply restarting production, it also means we need to be able to pick up where we left off with our ongoing process maintenance and optimisation.” It was particularly important to Nestlé that their backup strategy be built around a sin-gle continually active and universally appli-cable solution. And they wanted it to maintain a centralised backup of all the data necessary for both recovery and further development for all devices and all related projects (i.e. every piece of hardware and software). And the programs actually running on controllers need to correspond precisely with the data on the server. If not, the reason must be easily identifiable and the valid version always available to be reloaded onto the device.
Data management as a part of your cybersecurity strategy
Data management as a part of your cybersecurity strategy
Coordinating data in the age of digitalisation presents a real challenge, especially where production facilities are concerned. The task of maintaining the many and varied components used in production also entails working with a wide variety of different software packages (editors) Each change that is made to the software results in a new version that has to be securely stored – versions need to be properly managed and there can only ever be one version that is the latest authorised version. But how can you make sure that all changes that were made to the software now running on the machine/device were authorised?
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.
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.How to save time and money with versiondog: https://youtu.be/QK8Gd6ypNts
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 Suppliers8
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.
MAANA
MAANA
Maana is the analytics platform that operationalizes big data insights into line-of-business applications. Maana enables companies to analyze data in multiple silos simultaneously, accelerating the time it takes to go from raw data to continuous insights. Enterprises are optimizing their key assets and business processes with Maana by operationalizing big data insights and recommendations into line-of-business applications for thousands of employees to make better decisions.
InfoMotion Technology
InfoMotion Technology
InfoMotion is a world leader in developing and commercializing advanced motion-sensor firmware and software that powers devices for the Internet of Everything (IoE). They deliver amazing solutions to partners and global leaders serving both the sports and manufacturing industries that share a common goal: a desire for sustainable market leadership through IoE innovations. Their award-winning IoEdge software suite delivers extremely precise motion data whether it’s for mission critical applications on the factory floor or award winning consumer products. When your business depends on superior experiences, precise data, and highly scalable solutions, IoEdge is the most advanced solution on the market
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.
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)
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
Download PDF Version
test test