A diagnostic apparatus of the invention acquires normal data related to an operating state during normal operation of an industrial machine, stores the normal data, generates a learning model by learning based on the stored normal data, and performs an estimation process for normality or abnormality of an operation of the industrial machine using the learning model. The diagnostic apparatus of the invention further generates verification data including at least one piece of abnormal data based on the stored normal data to verify validity of the learning model on receiving a result of the estimation process using the learning model based on the verification data.

Various examples of the present invention provide a server for providing information of an electronic device, and the server can comprise: a communication unit for receiving, from at least one first electronic device, at least one piece of information of the first electronic device; and a control unit for determining, from the received information, a current state among a plurality of states preset for the first electronic device, and controlling the first electronic device such that state prediction information of the first electronic device is transmitted to a second electronic device if the determined current state satisfies a preset notification condition on a state diagram in which a relationship among the plurality of states is set. Additionally, other examples could be possible besides the various examples of the present invention.

System and method for producing a sensor for a processing machine/plant, wherein a digital twin sensor is provided that is related to the sensor, wherein the digital twin sensor is stored in a database (10), wherein the digital twin sensor forms a data model of the sensor, wherein the data model comprises at least one data building block with data for a sensor housing, for an electronic system, for a control and evaluation unit, for a primary sensor element and/or for mechanical components of the sensor, wherein the digital twin sensor is loaded into a construction program for the processing machine/plant, wherein the digital twin sensor is configured in the construction program, wherein the digital twin sensor is adapted to the processing machine/plant and the adapted digital twin sensor is produced as a real adapted sensor.

The present disclosure relates to a method for the application-specific setting of a field device, which is installed in a defined application in a process in automation engineering and determines or monitors at least one process variable of a medium, comprising: recording a diagnostic message which occurs or has occurred on the field device during a defined interval, analyzing which of the diagnostic messages are tolerable and/or plausible in the defined application, assigning an application-specific notice with regard to tolerability and/or plausibility to each diagnostic message that has arisen in the defined application, clearing the diagnostic message if this is classified as tolerable and/or plausible in the defined application, and using the application-specific setting of the field device, which clears the diagnostic message classified as tolerable and/or plausible.

Various examples of the present invention provide a server for providing information of an electronic device, and the server can comprise: a communication unit for receiving, from at least one first electronic device, at least one piece of information of the first electronic device; and a control unit for determining, from the received information, a current state among a plurality of states preset for the first electronic device, and controlling the first electronic device such that state prediction information of the first electronic device is transmitted to a second electronic device if the determined current state satisfies a preset notification condition on a state diagram in which a relationship among the plurality of states is set. Additionally, other examples could be possible besides the various examples of the present invention.

A field device includes a controller and a process communication module. The controller is configured to perform at least one operation related to process control and is also configured to perform at least one self-recovery operation relative to the field device. The process communication module is coupled to the controller and is configured to couple to a process communication segment and communicate in accordance with a process communication protocol. The controller is configured to detect an erroneous condition and selectively apply the at least one self-recovery operation in response to the detected erroneous condition.

A system for remotely measuring the characteristics of water passing through a plumbing control device (PCD) includes a sensor within the interior of the PCD. The sensor is configured to measure characteristics of the water to obtain measured data. The sensor is also linked to a microcontroller of the PCD. An antenna board is linked, and configured to transmit power, to both the microcontroller and the sensor. A mobile device is configured to locate the antenna board. The mobile device transmits power to the antenna board which, in turn, transmits power to the microcontroller and the sensor. When power is not being transmitted from the antenna board, the microcontroller and the sensor are powered off.

The present disclosure includes a method for monitoring an automation system having a multiplicity of field devices arranged in a spatially distributed fashion and configured to acquire or set a primary process variable that is dependent on the process. The field devices are also configured to each acquire at least one secondary environmental variable and have at least one superordinate process control unit for controlling the process. The method includes transmitting the acquired environmental variables to a superordinate database and analysis platform and monitoring the automation system using the database and analysis platform. To monitor the automation system, the database and analysis platform compares the acquired transmitted secondary environmental variables with comparative environmental variables which represent a usual state of the automation system, in order to detect an unusual state in the automation system.

Methods and apparatus for communicating alert notifications using discrete input channels are described. An apparatus includes a field device to control a process of a process plant. The field device has a digital valve controller including a process parameter monitor to monitor a process parameter of the field device and an alarm determiner to detect an error condition associated with the process parameter. The alarm determiner generates an alarm notification associated with the error condition of the process parameter. The digital valve controller includes an alarm status assignor to assign a status notification for equipment associated with the process parameter detected by the alarm determiner to be in the error condition and a discrete output channel. The apparatus includes a host device having a discrete input channel directly coupled to the discrete output channel to receive the alarm notification and the status notification from the digital valve controller. The host device is to be communicatively coupled to a control room of a process plant.

A wireless field device for use in an industrial process control or monitoring system includes a controller configured to control operation of the wireless field device. Wireless communication circuitry is configured to wirelessly communicate with a remote location. An internal power source powers the wireless field device. An image capture device is coupled to the controller and configured to capture an image of an environment of the wireless field device. The controller is adapted to receive image information from the image capture device and transmit compressed image information to the remote location.