A transposable identity enchainment system for diffuse identity management processing entities for each of users, data, and processes equivalently and having a recombinant access mediation system that mediates association among entities, an associational process management system that creates entity-defining indices, and a multi-dimensional enchainment system that enchains aspects of entity identities via mediated association certificates including at least one root certificate for at least one of the entities.

A method and system for generating an automation engineering project in a technical installation is provided. The method includes receiving, by a processing unit, a request to generate an automation engineering project for a technical installation. The method further includes generating a first name graph based on the information about the hardware configuration associated with the automation engineering project. The method further includes generating, by the processing unit, a second name graph based on the analysis of the one or more modifications of the hardware configuration of the technical installation. The method further includes generating, by the processing unit, the automation engineering project from the plurality of engineering objects based on a comparison of the first name graph and the second name graph.

An apparatus (10) for generating benchmarking metrics of current operational workflow performance of a hospital department includes at least one electronic processor (20) programmed to: generate a department profile (34) identifying resources of the hospital department including at least an active medical equipment inventory and a personnel profile; retrieve current statistics for the hospital department including at least one of patient arrival timeliness, patient no-show, and emergency department (ED) arrival statistics; compute values of one or more key performance indicator (KPI) metrics (40) for the current statistics; generate an executable workflow model (44) for workflow processes of the hospital department including temporal aspects of the workflow processes, the workflow model having variables representing at least patient arrival timeliness, patient no-show, and ED arrival; simulate a best case scenario (50) by executing the workflow model on inputs including the department profile and best case values for the variables of the workflow model and compute values of the one or more KPI metrics for the simulated best case scenario; simulate a worst case scenario (52) by executing the workflow model on inputs including the department profile and worst case values for the variables of the workflow model and compute values of the one or more KPI metrics for the simulated worst case scenario; and output, on at least one display device (24), the values of the one or more KPI metrics computed for the simulated best case scenario, the values of the one or more KPI metrics computed for the simulated worst case scenario, and the values of the one or more KPI metrics computed for the current statistics.

A dashboard having a plurality of selectable hierarchical dashboard levels is displayed, where a higher dashboard level of the dashboard displays a Key Performance Indicator (KPI) that represents an aggregation of a plurality of related KPI's at a next lower dashboard level. The dashboard displays service cases that are related to one or more of the building system components of the building. The service cases displayed at the next lower dashboard level are identified as having a negative impact on at least one of the plurality of related KPI's displayed at the next lower dashboard level and the service cases displayed on the higher dashboard level represent an aggregation of the service cases displayed at the next lower dashboard level.

An interactive stochastic design tool has an input device, an output device, and a digital processor. The digital processor reads in initiation data describing a stochastic process and a threshold boundary. It then computes one or more realizations of the stochastic process. The realizations and the threshold boundary are displayed on the output device. The user may then input an indication to enforce the threshold boundary. The processor then redisplays the realizations that do not cross the enforced threshold boundary.

A business data course management system and a business data course management method are provided. An electronic device sends a first calling information corresponding to the first application programming interface (API) to a business data course management server. According to a first API identifier corresponding to the first API, the business data course management server loads a corresponding first extraction rule to extract a first upstream business data type information, a first upstream business data identifier, a first downstream business data type information, and a first downstream business data type identifier from the first calling information according to the first extraction rule. The business data course management server creates a first upstream business data record and creates a first downstream business data record.

A business data course management system and a business data course management method are provided. An electronic device sends a first calling information corresponding to the first application programming interface (API) to a business data course management server. According to a first API identifier corresponding to the first API, the business data course management server loads a corresponding first extraction rule to extract a first upstream business data type information, a first upstream business data identifier, a first downstream business data type information, and a first downstream business data type identifier from the first calling information according to the first extraction rule. The business data course management server creates a first upstream business data record and creates a first downstream business data record.

Techniques for risk evaluation include receiving, from a requesting entity, a request for monitoring target entities specifying a first identifier associated with each target entity and target entity information. The system generates a second identifier and a third identifier for each target entity and stores a mapping of the second identifiers to the first identifiers and the third identifiers, preventing the second identifiers from being provided to the requesting entity. The system monitors a periodically updated data set and determines risk metrics for the target entities, comparing each risk metric to a threshold value to identify target entities whose risk data indicates an insider threat. The system generates a third identifier for the identified target entities and provides the third identifiers to the requesting entity. Responsive to a request for a corresponding first identifier, the system identifies and provides the first and third identifiers to the requesting entity.

A method for forecasting includes obtaining input data from a data store, using a processor to forecast future data with a currently selected model, detecting a trigger event using a processor, training alternative models in a model family or from multiple families on the input data based on detecting in response to detecting the trigger event, identifying a replacement model from the alternative models using a processor, and using a processor to forecast future data with the replacement model.

A method, a device, and a non-transitory storage medium to receive from customer devices, sensor messages indicating a power state of on or off, a location, and a timestamp; select an element of a utility system based on the sensor messages; determine a power state of on or off for the element based on the sensor messages and a location and time pertaining to the element; store a temporal and spatial model that includes an outage event; receive weather data pertaining to the element; generate an outage model based on the temporal and spatial model and the weather data; receive forecasted weather data; calculate a predicted outage pertaining to one or more elements of the utility system based on the outage model and the forecasted weather data; and transmit a message that includes the predicted outage.