EP3055745A1

EP3055745A1 - System for the flexible operation of an automation machine

Info

Publication number: EP3055745A1
Application number: EP14771532.0A
Authority: EP
Inventors: Romuald Girardey; Günter Jahl; Harald Freimark; Stefan Robl
Original assignee: Endress and Hauser SE and Co KG
Current assignee: Endress and Hauser SE and Co KG
Priority date: 2013-10-07
Filing date: 2014-09-15
Publication date: 2016-08-17
Also published as: DE102013111052A1; CN105612467A; CN105612467B; US20160246294A1; WO2015051974A1

Abstract

The invention relates to a system for the flexible operation of an automation machine, comprising at least one computer (RE) and a plurality of field devices (A, S) for determining and/or monitoring physical or chemical process variables, wherein the at least one computer (RE) and the field devices (A, S) are networkable and are interconnected or interconnectable via a network, wherein each computer (RE) and each field device (A, S) is assigned or can be assigned a unique address in the network, and wherein communication takes place using a defined network protocol, wherein the networkable computer (RE) or networkable computers (RE) is/are assigned at least one machine model (AM) which virtually maps the machine topology, the machine function and the interaction of the field devices (S, A) with each other and with the at least one computer (RE), wherein the machine model (AM) is designed to be flexibly adaptable to different machine topologies, different machine functions and/or a different interaction of the field devices (A, S) with each other and with the at least one computer (RE), and wherein using the machine model (AM) the at least one computer (RE) controls the automation machine in accordance with the actual machine topology, the actual machine function and/or the actual interaction of the field devices (A, S) with each other and with the at least one computer (RE).

Description

System for flexible operation of an automation system

The invention relates to a system for the flexible operation of an automation system of automation technology.

In process as well as in factory automation technology, field devices are often used which serve to detect and / or influence process variables. Process variables are measured by measuring devices, such as level gauges, flowmeters, pressure and temperature measuring devices, pH meters, conductivity meters, etc., which record the respective process variables level, flow, pressure, temperature, pH or conductivity , To influence the process variables, actuators are used, such as valves or pumps, via which e.g. the flow of a liquid in a pipeline or the level of a medium in a container is changed. The term 'field device' used in connection with the invention thus includes all types of measuring devices and actuators.

In addition, in the context of the invention, field devices are also all devices which are used close to the process and which are process-relevant

Provide or process information. In addition to the aforementioned

Measuring devices / sensors and actuators are generally referred to as field devices also those units which are connected directly to a field bus and to

Serve communication with the parent unit, such as Remote I / Os, gateways, linking devices and wireless adapters or wireless adapters. A variety of such

Field equipment is manufactured and distributed by the Endress + Hauser Group.

In modern automation systems, communication between at least one control unit arranged on the control level and the field devices generally takes place via at least one bus system, such as Profibus®, Foundation

Fieldbus® or HART®. The bus systems can be designed both wired and wireless. The at least one higher-level control unit is used for process control, process visualization, process monitoring and commissioning and operation of the field devices and is also referred to as a configuration / management system. At the field level, the field devices are connected to at least one PLC. Often several PLCs are connected in series

connected together. The known automation systems are hierarchically structured and have a static structure. The disadvantage of a static or fixed wiring is that there is no flexibility in the structure and data exchange. Access to the field devices is only possible indirectly, since the field devices usually fix

are interconnected. The at least one PLC forms a central one

"Node" and thus represents a single point of failure. This may be the

Significantly restrict the availability of the automation system.

The invention has for its object to make a system of automation system flexible.

The object is achieved by a system having at least one computer and a multiplicity of field devices for determining and / or monitoring physical or chemical process variables, wherein the at least one computer and the field devices are network-capable and interconnected via a network or

connectable, wherein each computer and each field device assigned a unique address in the network or can be assigned and wherein the communication is via a defined network protocol, wherein the networkable computer or the networkable computers at least one investment model is assigned to the

Investment topology, the investment function and the interaction of the field devices with each other and with the at least one computer virtually maps, the

Investment model is designed so that it is flexible to different investment topologies, different investment functions and / or a different interaction of the field devices with each other and with the at least one computer adaptable, and wherein the at least one computer via the investment model, the automation system according to the current investment topology, the current System function and / or the current interaction of the field devices with each other and with the at least one computer controls.

All field devices (actuators, sensors) are connected or connectable directly via a network (eg TCP / IP, WLAN, EtherCAT, Ethernet / IP, ModbusTCP, ProfiNET, ...) to at least one computer arranged in the cloud. Each of the field devices has a one-to-one address and is equipped to handle the network protocol. In the context of the invention, the term "cloud" is understood to mean a usually redundant network of computers that has an internal or external network and a standard IT infrastructure. The system according to the invention offers increased security and flexibility against a hardware failure. Field devices connected to the computers of the cloud can either send the data or measured values generated by them cyclically automatically, or the field devices deliver the data or measured values to the computers via a classical request / reply communication via polling.

The investment system according to the invention is mapped virtualized via an investment model in the cloud. The investment model corresponds to the investment structure and the investment function and defines the interaction of the field devices. The investment model is one

Software model that runs in the cloud. An asset is model-based planned and executed as a software model.

The cloud provides computing and storage capacity for the execution of the investment model. Each model of the system may have u.U. also other properties. So can the

Investment functionality and the interconnection or interaction of the individual field devices can be varied within wide limits. As a result, the system can be optimized and adapted to changing requirements on the system and in the system.

For example, adjustments may reflect changes in product characteristics or the amount of product fume. Furthermore, it can be adapted to changed energy tariffs during different times of day, failed system parts can be replaced by any existing equivalent redundant system parts, etc. When changing the investment model, it may u.U. necessary, the

To parameterize field devices again.

With the invention, the automation system can be scaled much easier, i. the plant can be extended by additional field devices, since the plant topology is independent of the underlying network structure. This is not possible in the prior art, since only one defined, maximum possible number of field devices can be connected to a controller. If this maximum possible number is exceeded, an additional controller must be used.

The processing capacity of the computers in the cloud can also be done without

Restructuring measures in the plant expand almost arbitrarily and thus adapt to growing requirements.

The complete context of the system, ie all connected sensors, actuators, their interconnection and functionality, is fully accessible at all times and known, since the system - unlike in hierarchically designed systems - is designed hierarchically flat.

The solution according to the invention offers several advantages over a known static solution:

By means of the solution according to the invention it is possible to have a

Adapt automation system to different running in a plant processes, since the system according to the invention can be easily and flexibly adapted to the particular application.

The system can be optimally adapted in terms of energy consumption, waste reduction or yield and the speed with which a process takes place in the system. For example, it is possible to

to use more cost effective night tariff by the

Production speed is increased at night. By process, by the way, all common processes in the industry are to be understood, e.g.

Manufacturing processes, fermentation processes, bottling processes, etc.

The solution according to the invention is highly reliable against failure, a) If a measuring device fails, the corresponding measured value is obtained from an alternative, equivalent source. For example, in the event of failure of a temperature sensor, the system structure is redesigned so that an alternative temperature sensor located in the system from another

Measuring system, e.g. a pH sensor or a flow sensor, the

necessary temperature readings.

- b) If one part of the system fails, its function can be redundant

Part of the investment.

As e.g. If a measured value is supplied by various equivalent measuring devices, it is possible to carry out an Advanced Diagnostics in the system.

The plant has a high variability. In particular, it is possible to use different products in the system, e.g. produce a product A and a product B, as the system can be adapted to the manufacturing process of different products.

The plant can be upgraded at any time by adding new field devices and through

Increase the resources of the computer network scaled or extended.

An advantageous embodiment of the system according to the invention provides for a plurality of computers, that is to say a computer network, the computers being redundant and / or diversified are configured and the computers work redundantly or in combination with each other.

In addition, it is possible to operate a diversitare and / or redundant signal processing in the cloud. In particular, e.g. two separate signal processing of a field device in the cloud are performed. Alternatively, a

Signal processing of an intelligent field device and another diverse signal processing in the cloud to be executed. The outputs of the two redundant and / or diverse signal processing are then compared by means of a decision maker. In case of a significant deviation, an error message is generated. According to the invention, any safety standards can be implemented in an automation system. Redundancy means increased safety through double or multiple design of all safety-related hardware and software components. Diversity means that the hardware components responsible for the measurement conditioning, such as one

Microprocessor, come from different manufacturers and / or that they are of different types. In the case of software components, diversity requires that the software stored in the computers come from different sources, ie from different manufacturers or programmers.

According to an advantageous development of the system according to the invention, it is provided that in the event that in the automation system e.g. one

Production process or a bottling process takes place, the at least one computer the

Production speed by adapting the current investment functions and / or the current interaction of the field devices with each other and with the at least one computer controls so that the energy consumption of the automation system is optimized. In combination or alternatively, it is suggested that in the event that in the

Automation system runs a production process that controls at least one computer the process flow production process so that the yield of the products produced is maximum and / or that the amount of waste generated is minimal. With both embodiments mentioned above, the productivity of a

Optimize automation system.

With regard to Predictive Maintenance, and Advanced Diagnostics, ie generation of additional information, eg lifetime of the field device, from diagnostic data, recognizes the at least one computer based on the diagnostic data malfunction and / or predictable or actual failures of faulty field devices. Furthermore, upon detection of a malfunction, the computer transmits the system function of the malfunctioning or failed field device to at least one redundant field device which is likewise available to the system and which is able to take over the system function of the faulty or failed field device.

In addition, a display is provided on the field device or an external service tool via which the field device is serviced, in particular adjusted, calibrated or verified, or a mobile service tool is provided, which waits for the field device via the at least one computer, in particular adjusted, calibrated or verified. There are several ways to maintain field devices. In this context, maintenance is defined as either the adjustment (for example, the correction of the calibration factor), the calibration (the determination of the measurement deviation) or the verification (the verification of the calibration factor)

Device function) understood. The cloud can easily handle at least one

Diagnostic functionality can be extended. All available are preferred

Diagnostic data of the sensors / actuators supplied to the computers of the cloud, whereby it is possible to process the diagnostic data in the overall context of the system. In the known systems for operating an automation system, the

Diagnostic data is defined and processed using a separate condition monitoring system.

In the first variant, the device is locally maintained via a display or a service tool locally and thus without connection to the cloud.

In the second variant, e.g. For example, the calibration via the connection to the cloud realized via a mobile device (such as a smartphone, a laptop or a tablet). In this case, the cloud is used in the first case as a connection to the field device; the calibration routines continue to run in the field device here. In the second case, the complete calibration algorithm including the possibly associated menu guidance runs completely in the cloud - automatically or on manual request.

It is considered to be particularly advantageous in connection with the invention if the at least one computer during the production process at least one

Performs verification and stores the information about the verified production process in at least one of the computer / computers associated storage unit. Because the system knows about the investment model stored in the cloud Throughout the production process, both the products to be produced and the temporal process flow, an automatic verification phase can be initiated in the production process. The corresponding reports can be managed in the cloud. They are preferably transmitted to the cloud via polling by the cloud.

A high degree of availability of the system according to the invention can be achieved if the network-capable computer or the network-capable computers are assigned several investment models that the investment topology, the investment function and the interaction of the field devices with each other and with the at least one computer for different automation systems and / or virtually map production processes, and wherein the computer or the computer, the production plant so

controls / control that a selected investment model is used and the corresponding production process can run in the automation system.

Moreover, the invention relates to a system in which field device-specific or field device type-specific drivers are provided for the individual field devices, the at least one computer parameterizing the field devices via the drivers in such a way that they can be used in the production process and / or in the automation system which corresponds to the selected investment model. The firmware and / or the device drivers of the individual field devices are preferably assigned to the at least one computer.

Furthermore, it is proposed that each of the field devices is associated with an electronics, wherein the electronics is configured either as minimum electronics, the raw data of the field devices available - for example, electrical signals that the

Information about the process size include - or the electronics is as

Transmitter designed and provides processed and / or evaluated data. In the event that the electronics are a minimum of electronics, the at least one computer performs the processing and / or evaluation of the data provided. The "intelligence" of the field devices is shifted to the cloud, and the evaluation of the data takes place in the cloud.

If the field device is a field device with an analog current output, a coupler is provided which makes the field device networkable.

In general, it is possible to successively transfer a classic PLC-based investment system into a cloud-based system according to the invention, in which parts of the classically implemented plant are replaced by network-based field devices. In the event that the electronics are evaluation electronics, the intelligent field device is capable of providing those available in the field device

Raw data and the processed and / or evaluated data transmitted to the at least one computer, wherein the computer prepares the raw data and / or evaluates and compares the provided prepared and / or evaluated data with the data prepared by the computer and / or evaluated become. It is therefore possible to verify the data transmitted by the field device in the cloud.

As already mentioned, field devices which can be used are classical field devices which contain the complete signal processing. In general, such field devices are referred to as intelligent (SMART) sensors or actuators. An example of this is a Coriolis or pH transmitter.

However, the signal processing of field devices can also be easily transferred to the cloud in the system according to the invention. The field device, e.g. In this case, a sensor merely takes care of coupling to the analogue world; digital signal processing no longer takes place in the field device itself, but rather in the cloud. As a result, e.g. improved diagnostic and measurement algorithms are used, which were previously not possible due to size limitations in the firmware in the field devices. The previously extremely time-consuming and complicated firmware updates of the field devices can be realized by a central update of the software in the cloud. The hardware complexity and thus the price of the field devices can also be reduced. By updating the field device algorithms in the cloud, an update during operation of the field device can also be realized. This is a temporary parallel operation of old and new

Algorithms made. As soon as the new algorithms e.g. In the case of a sensor have a stable measurement operation, the transient phenomena are thus completed, can be switched from the old algorithms to the new, without the

Measuring operation must be interrupted.

According to a preferred embodiment of the system according to the invention it is provided that the at least one computer, the firmware and / or the device driver of the individual field devices in at least two different versions, one

First version and a successor version, are assigned / is and that the at least one computer replaced the first version during operation of the automation system by the successor version, as soon as the successor version works correctly. Furthermore, it is proposed that the investment model or investment models is / are modular and that in the case of multiple computers, the modular investment model and the investment models are divided among the individual computers. In one embodiment, for example, the software structure of the cloud is modularized. As a result, the cloud software infrastructure can be distributed on the available hardware and adapt to changes, in particular extensions in the hardware resources. The modularity gives the possibility of individual during operation

Exchange software components of the cloud without interrupting the normal operation of the system. The same applies to the field device drivers. In order to be able to serve the variety of field devices, - in the absence of a Web server - a

Library or database of drivers, e.g. by DTMs.

An advantageous further development of the system according to the invention provides that the investment model or investment models are developed on a test system and tested with virtual field device models and that the developed investment model is copied or transferred after the test phase to at least one analog automation system.

If a plant operator has several physically identical plants, it is possible to develop and optimize the plant model on a plant or on a test plant and then transfer it to the identical plants by means of a "copying process". Thus, a significant simplification of the plant commissioning and plant maintenance can be achieved. In addition, it is envisaged that a test system with virtual field device models will be developed, simulated and tested. An investment model developed in this way is subsequently transferred to a real investment using "Copy & Paste". Findings from the practical operation of the plant are then transferred to the simulation, where they are optimized and reused in the real operation of the plant. An iterative optimization process is thus carried out. In addition, worst-case scenarios can be checked and improved on the basis of the real investment model.

In particular, the possibility opens up of copying or transmitting a tested investment model or tested investment models of an automation plant to identical automation plants.

According to an advantageous development, the system according to the invention is integrated into an internal company network. In the event that at least partially over one external freely accessible network is communicated, the communication is preferably via a VPN tunnel structure. To ensure access security, an operator-internal local cloud is to be preferred. Via VPN tunnel structures, the tunnel structure can be extended, so that spatially very large plants can be realized. Examples include gas pipelines, wind farms, water distribution networks, etc.

It is regarded as particularly favorable in connection with the invention if at least in a part of the field devices a web server is integrated and if the

The field devices are operated via the computer or via a mobile operating tool. As a result, the field device can be made specifically for the operation

Operating device drivers. Of course, in the case of a field device without

Web server, the operation alternatively via a standard device driver.

The invention will be explained in more detail with reference to the following figures. It shows:

1 shows a schematic representation of a system known from the prior art for operating an automation system, FIG. 2 shows a schematic illustration of an embodiment of the system according to the invention for operating an automation system,

3 shows a schematic representation which illustrates how two different automation systems can be operated via the system according to the invention.

Fig. 1 shows a schematic representation of a known from the prior art system for operating an automation system. The automation system is, as already mentioned, for example, the production of a product, the filling of a medium, the control of a sewage treatment plant, etc.

Known systems for operating an automation system are structured strictly hierarchically. Usually, several controllers PLC A, PLC B are arranged on the field level depending on the size of the plant. The communication between the controllers PLC A, PLC B and the process-related field devices A, S already defined in more detail above, which are coupled to one of the controllers PLC A, PLC B, takes place via at least one of the fieldbuses FB common in automation technology. Direct communication between the individual controllers PLC A, PLC B is excluded or at least limited possible. At the control level, the PLC A, PLC B controllers supply theirs from the

Field devices A, S collected data and / or further processed measured values to a higher-level control unit, e.g. a SCADA. Usually on the

Control level a high speed bus BS, e.g. Industrial Ethernet, too

Communication purposes used. The implementation between the different bus systems BS, FB via a gateway G. Due to the fixed connection and communication paths, the known systems are not very flexible. Changes in the investment structure can only be dealt with - if at all - with much effort. Usually the system has to be completely rebuilt.

Fig. 2 shows a schematic representation of an embodiment of the system according to the invention for operating an automation system. The automation system itself is not shown separately in FIG. 1. However, as already said several times, it can be any industrial plant. The monitoring and / or control of the system also takes place here via different field devices A, S. In the case shown are actuators A and sensors S. The field devices A, S serve for the determination and / or monitoring of physical or chemical

Process variables. Sensors for process automation are offered and distributed by the applicant in a wide variety of designs.

Furthermore, the system for flexible operation of the automation system on several computers RE. These are located in the cloud and are connected to each other and to the field devices A, S via Internet or an operator intranet

Communication link. The number of computers RE depends on the extent of the calculation and control operations predetermined and to be performed by the at least one investment model AM and also on the desired one

Processing speed. Both the computers RE and the field devices A, S must be configured network-capable. They are connected or connectable via a network - ie a wireless or wired Internet or intranet. Each computer RE and each field device A, S is a unique address in the

Network assigned or assignable. If communication takes place via a defined network protocol, for example TCP-IP, then each component of the network is assigned an IP address. Furthermore, at least one investment model AM is assigned to the network-capable computers RE. The investment model AM is a virtual image, ie a software image of the system for operating the respective automation system, the investment topology, the investment function and the interaction of the field devices S, A with each other and with the computers RE possibly on the time track describes. The investment model AM is designed such that it can be flexibly adapted to different investment topologies, different investment functions and / or a different interaction of the field devices A, S with each other and with the computers RE. The computers RE control via the respective investment model AM the automation system according to the current investment topology, the current investment function and / or the current interaction of the field devices A, S with each other and with the at least one computer RE. Field devices A, S coupled to the cloud can use the data generated by them or

Either automatically send measured values cyclically or deliver them to the cloud via a classic request / reply communication via polling by the computers in the cloud. Often in this context, cloud computing or

Calculation spoken in the cloud. Cloud computing describes the approach, abstracted IT infrastructures, such as hardware, computing capacity, data storage,

Network capacities or even software dynamically adapted to the needs over a network to provide. The use of the services offered takes place exclusively via defined technical interfaces and protocols. Large parts of the IT infrastructure are no longer on the side of cloud computing

Instead, they are leased by the plant operator to a service provider providing the IT infrastructure in the cloud. It goes without saying that operators and service providers can be identical. Changes to the respective investment model can be made via a BT operating tool.

The system according to the invention makes it possible, if necessary, flexible between

switch between different investment models AM A, AM B Shown is this

Possibility of switching between two different investment models AM A, AM B in Fig. 3. In the model A - AM A - three computers RE1, RE2, RE3 are required. To operate the automation system, three sensors S1, S2, S3 and three actuators A1, A2, A3 are required. In the case shown, the computer RE1 is currently connected or connectable to the computers RE2, RE3 and to the actuator A3. If one of these two computers RE2, RE3 fails, then the computer RE3 can easily take over their work, since the computer model RE3 is also accessible to the computer. Furthermore, the computer RE3 can act as a redundant, possibly also diverse computer if necessary.

The computer RE 2 is in connection with the actuator A1 and the two sensors S1, S2. The computer RE 3 also has connection to the sensor S2 - again redundancy is given here -, the sensor S3 and the actuator A2. The investment model AM B differs from the investment model AM A. Here, two computers RE1, RE3 are needed to operate the automation system. The computer RE1 is connected to the sensor S2 and the additional sensor S4 as well as to the actuator A3. The computer RE3 is according to investment model AM B in conjunction with the sensors S2, S3, S4 and the additional actuator A4. Either there is redundancy and / or diversity again here with respect to the sensors S2 and S4, or individual modules of the software for operating the system are stored in each computer.

For example, the computer RE1 could process the raw data of the sensor S4 and process it into measured values, while the computer RE3 carries out a diagnosis on the sensor S4. Or both computers RE1, RE3 can process the raw data and compare the results with each other for verification. The

Possible applications are unlimited. In particular, reference is made to the possibilities that have already been explicitly mentioned in connection with the invention.

Claims

claims

1. System for flexible operation of an automation system with at least one computer (RE) and a plurality of field devices (A, S) for determining and / or monitoring of physical or chemical process variables, wherein the at least one computer (RE) and the field devices (A , S) network-enabled and connected to each other via a network or connectable, each computer (RE) and each field device (A, S) assigned a unique address in the network or

can be assigned and wherein the communication takes place via a defined network protocol, wherein the network-capable computer (RE) or the network-capable computers (RE) at least one investment model (AM) is assigned, the investment topology, the

Investment function and the interaction of the field devices (S, A) with each other and with the at least one computer (RE) virtually maps, the investment model (AM) is designed so that it flexibly to different investment topologies, different investment functions and / or a different Cooperation of the field devices (A, S) with each other and with the at least one computer (RE) is adaptable, and wherein the at least one computer (RE) via the investment model (AM) the automation system according to the current investment topology, the current investment function and / or the current interaction of the field devices (A, S) with each other and with the at least one computer (RE) controls.

2. System according to claim 1,

wherein a plurality of computers (RE1, RE2, RE3) are provided which are designed to be redundant and / or diversified, wherein the computers operate redundantly or in combination with each other.

3. System according to claim 1 or 2,

wherein, in the event that a production process takes place in the automation system, the at least one computer (RE) controls the production speed by adapting the current system functions and / or the current interaction of the field devices (S, A) with each other and with the at least one Computer (RE) controls so that the energy consumption of the automation system is optimized.

4. System according to claim 1 or 2,

wherein, in the event that a production process takes place in the automation plant, in which the at least one computer (RE) controls the production process so that the yield of the products produced is maximum and / or that the amount of waste generated is minimal is.

5. System according to one or more of claims 1 -4,

wherein the at least one computer (RE) recognizes malfunctions and / or foreseeable or actual failures of defective field devices (S, A) based on diagnostic data of the field devices (S, A) and the system function of the malfunctioning or failed field device (S; A) at least one field device (S; A) transmits, which is able to take over the investment function of the faulty or failed field device (S; A).

6. System according to one or more of claims 1 -4,

wherein a display (D) on the field device (S, A) or a service tool (BT) is provided, via which the field device (S, A) is maintained, in particular adjusted, calibrated or verified, or

wherein a mobile service tool is provided, which waits the field device (S, A) via the at least one computer (RE), in particular calibrated, calibrated or verified.

7. System according to one or more of claims 3, 4 or 6,

wherein the at least one computer (RE) during the production process a

Verification phase and the information about the verified

Production process is stored in at least one of the computers associated memory unit (SP).

8. System according to one or more of claims 1 -7,

wherein the network-capable computer (RE) or the network-capable computers (RE1, RE2, RE3) are assigned a plurality of investment models (AM A, AM B), the

Investment topology, the investment function and the interaction of the field devices (S, A) with each other and with the at least one computer (RE) for different

Depict automation systems and / or production processes virtually, and wherein the computer (RE) or the computer (RE1, RE2, RE3) the production plant so

controls / control that a selected investment model (AM a, AM B) is used and the corresponding production process can run in the automation system.

9. System according to one or more of claims 1 -8,

wherein field device-specific or field device type-specific drivers are provided, wherein the at least one computer (RE) the field devices (S, A) via the drivers parameterized so that they in the production process and / or in the

Automation system can be used, the / the selected investment model (AM A, AM B) correspond / corresponds.

10. System according to one or more of claims 1-8,

wherein each of the field devices (S, A) is associated with electronics, wherein the electronics is configured either as minimum electronics, the raw data of the field devices (S, A) provides, or

wherein the electronics is designed as evaluation, which provides processed and / or evaluated data.

1 system according to one or more of the preceding claims,

wherein a coupler is provided, which is designed so that a field device (S, A) with an analog current output is networkable.

12. System according to claim 10 of the 11,

wherein in the event that the electronics is a minimum electronics, the at least one computer (RE) carries out the processing and / or evaluation of the data provided.

13. System according to claim 10,

wherein, in the case where the electronics are evaluation electronics, the field device (S, A) supplies the raw data available in the field device (S, A) and the processed and / or evaluated data to the at least one computer ( RE), wherein the computer (RE) prepares the raw data and / or evaluates and compares the provided prepared and / or evaluated data with the data, which are processed by the computer (RE) and / or evaluated.

14. System according to one or more of the preceding claims,

wherein the at least one computer (RE) is / are associated with the firmware and / or the device drivers (DTM) of the individual field devices (S, A).

15. System according to one or more of the preceding claims,

wherein the at least one computer (RE), the firmware and / or the device driver (DTM) of the individual field devices (RE) in at least two different versions, a first version and a successor version assigned, and wherein the at least one computer (RE) the first version during the operation of the automation system replaced by the successor version as soon as the successor version works without errors.

16. System according to one or more of the preceding claims,

wherein the investment model (AM) and the investment models (AM A, AM B) is / are modular and wherein in the case of multiple computers (RE1, RE2, RE3) the modular constructed investment model (AM) or the investment models (AM A, AM B) to the computer (RE1, RE2, RE3) are divided.

17. System according to one or more of the preceding claims,

the investment model (AM) or the investment models (AM A, AM B) on a

Test system developed and tested with virtual field device models and the developed investment model (AM) is copied or transmitted after the test phase on at least one analog automation system.

18. System according to one or more of the preceding claims,

wherein a tested investment model (AM) or tested investment models (AM a, AM B) of an automation system are copied or transferred to identical automation system.

19. System according to one or more of the preceding claims,

wherein the system is integrated into an internal company network or, in the event that is at least partially communicated via an external freely accessible network, at least one VPN tunnel structure is provided for the communication.

20. System according to one or more of the preceding claims, wherein at least in part of the field devices (S, A) a web server is integrated, via which the operation of the field devices (S, A) via the computer (RE) or via a mobile operating tool (BT).