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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


versiondog is the manufacturer-independent solution for robust version control and data management in industrial automation. With the dawn of Industry 4.0, the level of automation involved in production is constantly increasing. versiondog users can automatically back up their device data, create versions of software development stages and track changes via a change history (version control and change management). In concrete terms, versiondog supports control units such as PLCs, CNCs, SCADA systems, HMIs and drives, as well as various file formats and documents. The data management system provides the complete package of change management, version control and data backup. This allows users to protect, back up and store data from programmable devices and documents while also detecting and tracking all changes made to project data. Because it is not tied to a single manufacturer, versiondog can provide the widest range of support for automation systems on the market. By developing interfaces for new devices and integrating new versions of devices that were previously supported, versiondog is constantly improving its device integration. A truly all-in-one solution for an entire production facility, versiondog maximises productivity, minimises downtime and provides an extra level of assurance by enabling fast disaster recovery. The software is currently unique on the market. versiondog is used in all areas of automated production across many different industries (automotive, supply, food & beverage, chemical & pharmaceutical, public buildings etc.).

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  • SUPPLIER
  • Auvesy
    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.
  • SNAPSHOT
  • Platform as a Service
    Open website
    Open website
  • Application Industries
  • Automotive
    Chemicals
    Construction & Buildings
    Equipment & Machinery
    Mining
    Transportation
  • Application Functions
  • Logistics & Warehousing
    Maintenance
  • USE CASES
  • Water Quality and Leakage Monitoring
    Smart Water Monitoring Platforms are ultra-low-power sensor nodes designed for use in rugged environments and deployment in hard-to-access locations. They detect damages in the water supply infrastructure and potential risks to public health or environmental damage in real-time.Water leaks typically go undetected or are responded to only after the event. Therefore, a significant amount of water is lost due to excessive irrigation (only 70% of the water supplied is consumed by agriculture).The demand for innovative solutions to enable more efficient use of available water resources, to improve drinking water quality, and improve water resource planning is growing. Due to this, some analysts estimate the global water sector to be worth 1 trillion USD per year by 2025.IoT enables precise control over water resources data, thus allowing an efficient and optimized management of water companies. Smart water management systems can make a fast and significant improvement to the cost and reliability of water supplies, especially in urban areas and in agriculture.There are various applications for smart water management such as water leakage detection, watering management through sensors, drinking water quality monitoring, quality control of pools and water reserves, etc. At present, water companies have numerous sensors and devices which are able to provide input for detailed reports about relevant business critical factors – including water temperature, water quality/composition, water pressure, water flow, etc. However, most water companies still lack advanced real-time reporting and prediction capabilities to monitor “changing” factors. As a consequence, there is a focus on real-time data extraction, reporting, visualization. 
    Predictive Maintenance
    The aim of predictive maintenance is first to predict when equipment failure might occur, and secondly, to prevent the occurrence of the failure by performing maintenance. Monitoring for future failure allows maintenance to be planned before the failure occurs. Ideally, predictive maintenance allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance, without incurring costs associated with doing too much preventive maintenance.Predictive maintenance uses condition-monitoring equipment to evaluate an asset’s performance in real-time. A key element in this process is the Internet of Things (IoT). IoT allows for different assets and systems to connect, work together, and share, analyze and action data.  
    Machine Condition Monitoring
    Early predictions on equipment malfunctions and service maintenance can be automatically scheduled ahead of an actual part failure by installing sensors inside equipment to monitor and send reports.Machine condition monitoring is used to determine the condition of a machine with the intent to forecast mechanical wear and failure. The predicted data provides health information about the machine and helps to predict machinery failure. The monitoring equipment tracks changes in temperature, vibration, and output of machines in order to detect an imbalance, corrosion, wear, misalignment, sediment build-up, or poorly lubricated parts.Condition monitoring has gained importance in line with increased company focus on productivity and asset utilization. 
    Process Control & Optimization (PCO)
    Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.Fundamentally, there are three parameters that can be adjusted to affect optimal performance:- Equipment optimizationThe first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.- Operating proceduresOperating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.- Control optimizationIn a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
    Manufacturing System Automation
    An automated manufacturing system is the total integration of software and machinery used to create a system that performs manufacturing processes autonomously through computer programming.Without automated manufacturing systems, factory output would be vastly reduced, production would be very time consuming, working conditions would be less safe and quality control would be extremely difficult. Employees would need to work twice as hard to achieve in a day what they can now achieve in an hour with automated industrial systems. 
    Asset Health Management (AHM)
    Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components:Monitoring: Tracking the current operating status of the asset.Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies.Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
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