Techniques for controlling photodetector systems are disclosed. In one particular embodiment, the techniques may be realized as a system for controlling a photodetector. The system may comprise one or more processors and memory storing instructions that, when executed by the one or more processors, cause the system to: receive a target value; receive an output from the photodetector; generate, based at least on the target value, a bias signal; and apply the bias signal to the photodetector to drive a parameter of the photodetector to the target value.

Disclosed is an automation engineering field device, comprising: a sensor unit for capturing a physical measured variable for a medium; a memory unit, wherein the memory unit stores at least one standard parameter set and further parameter sets; an electronic unit, wherein the electronic unit is configured so as, after the field device starts, to load the standard parameter set and to operate the field device on the basis of the standard parameter set and wherein the electronic unit is configured so as, when a signal is received, to take the configuration of the signal as a basis for loading one of the further parameter sets and to operate the field device, or components of the field device, on the basis of the further parameter set.

A system for sharing plant device configuration data collected by handheld communicators during monitoring and servicing activities. Plant device configuration data is assigned relational identifiers such as equipment identifiers that provide additional information relevant to the configuration data for a plant device. Additional plant process identifiers may also be assigned to distinguish configuration profiles for various equipment sets. The relational data may be used to retrieve the configuration profiles for application in various efforts to replicate configurations across plants.

A configuration method for configuring an electronic device is described. The configuration method comprises: receiving at least one status parameter that is associated with at least one of an input parameter of the electronic device, an output parameter of the electronic device, a target output parameter of the electronic device, and a state of the electronic device; processing at least one status parameter by a first artificial intelligence module within a predefined time interval, thereby generating at least one first control parameter within the predefined time interval, wherein the at least one first control parameter is a rough estimate of an optimal control parameter for the electronic device; and processing at least one status parameter by a second artificial intelligence module, thereby generating at least one second control parameter wherein the at least one second control parameter is a more precise estimate of the optimal control parameter for the electronic device compared to the at least one first control parameter. Moreover, a configuration system is described.

A system for sharing plant device configuration data collected by handheld communicators during monitoring and servicing activities. Plant device configuration data is assigned relational identifiers such as equipment identifiers that provide additional information relevant to the configuration data for a plant device. Additional plant process identifiers may also be assigned to distinguish configuration profiles for various equipment sets. The relational data may be used to retrieve the configuration profiles for application in various efforts to replicate configurations across plants.

Methods, apparatus, systems and articles of manufacture are disclosed to coordinate node level adaptations. An example apparatus includes an adaptation support determiner to determine if an adaptation in an adaptation message is supported by a first device, an extractor to, in response to the determination that the adaptation in the adaptation message is supported by the first device, calculate a start-time for the first device based on (a) a transit duration of the adaptation message, (b) an execution duration of the adaptation in the adaptation message, and (c) a timestamp of when the second device sent the adaptation message, and an initiate a timer value for the first device and the second device, the timer value being a function of the start-time. The example apparatus further includes an installer to, in response to the timer value satisfying a threshold, execute the adaptation to reduce disruptions in the CPS.

The invention relates to a method for the dynamic parameterization of at least one sensor in an industrial process in which measurement data of the process are acquired by means of a configuration sensor and of a productive sensor, with the configuration sensor and the productive sensor being sensors of the same kind; the measurement data are transmitted to a control unit; the control unit generates a parameter set for the productive sensor with reference to the measurement data and transmits the parameter set to the productive sensor; and the productive sensor uses the parameter set in operation.

Various embodiments include a device comprising: two connectors for powering the device; a controller to operate an HVAC system; a memory; a transponder controller and an antenna for near field communication; and a transponder memory storing a configuration version and an address list. Firmware in the transponder memory includes instructions for the controller to: connect to a handheld device; determine an address thereof; determine whether the address is on the list; if so: receive initial configuration data from the handheld device, and store it in the transponder memory. There is firmware in the device memory telling it to: connect to the transponder controller; read a device version; read the configuration version in the transponder memory; determine whether the configuration version is compatible with the device version; and if so, transfer the initial configuration data to the memory, and thereafter use the initial configuration data in operation of the system.

Methods, apparatus, systems and articles of manufacture are disclosed to coordinate node level adaptations. An example apparatus includes an adaptation support determiner to determine if an adaptation in an adaptation message is supported by a first device, an extractor to, in response to the determination that the adaptation in the adaptation message is supported by the first device, calculate a start-time for the first device based on (a) a transit duration of the adaptation message, (b) an execution duration of the adaptation in the adaptation message, and (c) a timestamp of when the second device sent the adaptation message, and an initiate a timer value for the first device and the second device, the timer value being a function of the start-time. The example apparatus further includes an installer to, in response to the timer value satisfying a threshold, execute the adaptation to reduce disruptions in the CPS.

A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.