Abstract: An apparatus and method for predicting distress on a physical component. The method can include obtaining distress data. The distress data can be used to determine a distress rank. The distress rank can be compared to a distress output provided by a kernel that use parameters related to the physical component. The comparison can result in a prediction model for the physical component.

Abstract: This disclosure relates generally to methods and systems for determining whether at least a first component and a second component of a personal protection (PP) configuration are compatible so as to be assembled into an approved PP configuration, responsive to being compared against at least one predetermined criterion. Included is a smart tag for each of the first and second components. The first and second smart tags include respective first and second data. A data acquiring system is provided for acquiring the first and second data and a data processing system processes the acquired first and second data for determining if the first and second components are compatible to be assembled as an approved PP configuration.

Abstract: Systems and methods provide advanced network tracing techniques in the data plane. A data plane packet processing system can receive a request to trace a class of network traffic. The system can receive a plurality of packets. The system can determine on a per packet basis whether to trace the plurality of packets. The system can mark a trace flag associated with a first packet in response to determining that the first packets corresponds to the class of network traffic. The system can capture a trace entry for the first packet in response to determining that the tracing flag has been marked. The trace entry can be configured to include or exclude a packet count, a packet header, a packet payload, and/or processing information. In addition, the trace buffer for storing trace entries can be configurable (e.g., fixed-size buffer, circular buffer, or dynamic buffer).

Abstract: A building system for detecting faults in an operation of building equipment. The building system comprising one or more memory devices configured to store instructions thereon that cause one or more processors to perform a cumulative sum (CUSUM) analysis on actual building data and corresponding predicted building data to obtain cumulative sum values for a plurality of times within a first time period; determine a first time at which a first cumulative sum value is at a first maximum; identify a second cumulative sum value at a second maximum at a second time occurring after the first time; compare the identified second cumulative sum value to a threshold; and based on determining that the identified second cumulative sum value does not exceed the threshold, determine that a first fault ended at the first time.

Abstract: Example embodiments of this disclosure provide a method, an apparatus, a server, a storage medium, and a system for call processing. The method includes: monitoring, in real time, a call processing process of an artificial intelligence AI robot, to obtain an interaction text of the call, where the interaction text includes a recognition result of a user question and a reply to the user question; obtaining a service level value of the AI robot for the call based on the obtained interaction text; and when the service level value meets a first condition, performing an intervention operation on the call by using a target agent device.

Abstract: A method to model a complex system of pipes. The model takes into account the physical processes in a tree-type piping system and provides for an accurate modeling of a real world tree-type piping system. In a preferred embodiment, a computer program is provided for analyzing models of dry pipe systems. The computer program includes a user interface and a computational engine. The user interface allows a model of a dry pipe system to be defined and the computational engine determines a liquid flow time through the model of the dry pipe system. The computational engine provides a verification of the liquid flow time in a model of a referential dry pipe system within 20% of an actual liquid flow time in the referential dry pipe system.

Abstract: Devices, systems, and techniques relating to steam trap monitoring are described. These include battery-less steam trap monitors that run on power harvested from their environments, systems for acquiring steam trap monitor data for the traps in a facility or across multiple facilities, and techniques for processing steam trap monitor data to reliably determine the status of individual steam traps and potentially other system parameters.

Abstract: A monitor device is configured to monitor a system, such as a utility system and/or appliance. The monitor device includes sensor(s) that measure characteristic(s) of the system, and data storage that stores parameter data that is provided from a remote service. The parameter data includes thresholds, signatures, and/or other information that describes a typical operational state of the system. The monitor device includes software that executes locally to compare current sensor data to the parameter data and determine whether the current operational state of the system is within the bounds of the typical state as defined by the parameter data. In instances where the current state is atypical, indicating a possible problem with the system, a notification can be sent describing the anomaly. The monitor device can also perform other action(s) to correct the problem or mitigate possible damage, and can operate autonomously if a network connection is unavailable.

Abstract: Disclosed herein are techniques for identifying software dependencies based on functional line-of-code behavior and relation models. Techniques include accessing a first line-of-code behavior and relation model representing execution of functions of a first portion of executable code, the first portion of executable code being associated with a first symbol; detecting a change to the first portion of executable code; constructing, based on the changed first portion of executable code, a second line-of-code behavior and relation model representing execution of functions of the changed first portion of executable code; determining, based on the constructed second model, a dependency between (i) the changed first portion of executable code or the first symbol and (ii) a second symbol; and generating, based on the determined difference, a report identifying the dependency.

Abstract: A system and method are provided for recording and then displaying comments containing recommended actions to take in response to abnormal conditions arising during process operations. The comments can be ranked by an operator based on their success in remedying abnormal conditions with the highest ranked actions displayed first.

Abstract: A method includes receiving a first time-dependent data characterizing measurement by a first sensor operatively coupled to an oil and gas industrial machine; determining a first anomaly score associated with a first portion of the first time-dependent data over a time period, the determination is based on a first value of an operating characteristic over the time period and a second value of the operating characteristic over the time period, wherein the first value of the operating characteristic is calculated from the first time-dependent data and the second value of the operating characteristic is detected at the oil and gas industrial machine; and rendering, in a graphical user interface display space, a visual representation indicative of the first anomaly score. Related apparatus, systems, articles, and techniques are also described.

Abstract: A method, computer program product, and computer system for prioritization of data collection and analysis for incident detection. Data points within a plurality of monitor data corresponding to effects of incidents may be identified by a computing device. The plurality of monitor data may be converted to a set of time series extracted from the plurality of monitor data. The set of time series may be aligned and summarized. A causal relationship graph may be constructed between the set of time series extracted from the plurality of monitor data. Features may be prioritized by likelihood of importance in incident analysis based upon, at least in part, the causal relationship graph.

Abstract: Aspects of the invention include a computer-implemented method that includes converting runtime data points that are indicative of an influence of the runtime data points on a robustness and performance of a computing system. The runtime data points are clustered, wherein each cluster respectively represents a temporal state of the computing system. Each cluster is translated into a three-dimensional representation based on a probability density of the runtime data points of each cluster. A time-based vector is generated, where the vector describes a transition from a first three-dimensional representation to a second three-dimensional representation. Each three-dimensional representation traversed by the time-based vector represents a respective state of the computing system. The time-based vector is compared with a baseline vector. An anomaly alert is issued based at least in part on the comparison.

Abstract: A system may involve persistent storage containing a configuration management database (CMDB) and a non-CMDB table, wherein the CMDB contains configuration items that represent software, devices, or services deployed within a network, and wherein the non-CMDB table contains entries related to operation of the network. The system may also involve one or more processors configured to provide a representation of a graphical user interface (GUI), wherein the GUI contains a first selectable tab that displays classes of the configuration items, a second selectable tab that displays the non-CMDB table, and a canvas for visually depicting query expressions, wherein the classes are selectable to place class GUI elements thereof onto the canvas, wherein the non-CMDB table is selectable to place a table GUI element thereof onto the canvas, and wherein the table GUI element and a particular class GUI element are connectable by a link on the canvas.

Abstract: Systems and methods for data collection and detection of noise patterns. A system may include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the plurality of input channels is operatively coupled to a vibration detection facility structured to detect a noise pattern of an industrial machine, a library to store the detected noise pattern, an interface circuit structured to make the noise pattern available to a noise pattern marketplace, the noise pattern marketplace including a plurality of noise patterns from a plurality of industrial machines, and a user interface for accessing the plurality of noise patterns of the noise pattern marketplace.

Abstract: The present disclosure comprises a method for managing a plant of the automation technology, including a step of acquiring and storing all data transmitted via a communication network, consisting of process values, control variables and status data, and operating telegrams by a field detection unit, and providing the data and the operating telegrams with time stamps. The method also includes steps of temporally assigning the operating telegrams to the data, and analyzing the assignment and creating an intervention system. The intervention system contains plant states and interventions, wherein a plant state is created on the basis of transmitted data from a sensor unit and from an actuator unit, and wherein an intervention consists of at least one operating telegram following the transmitted data from the sensor unit and from the actuator unit.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, of training a global policy neural network. One of the methods includes initializing an instance of the robotic task for multiple local workers, generating a trajectory of state-action pairs by selecting actions to be performed by the robotic agent while performing the instance of the robotic task, optimizing a local policy controller on the trajectory, generating an optimized trajectory using the optimized local controller, and storing the optimized trajectory in a replay memory associated with the local worker. The method includes sampling, for multiple global workers, an optimized trajectory from one of one or more replay memories associated with the global worker, and training the replica of the global policy neural network maintained by the global worker on the sampled optimized trajectory to determine delta values for the parameters of the global policy neural network.

Abstract: A computer system is configured to, responsive to receipt of a data alert from a sensor technology incorporated in a structure, perform real time polling of remedial technology in the structure, receive remedial action monitoring data output by the sensor technology and indicative of whether a remedial action has been taken, and input the monitoring data alert and the remedial action monitoring data into a trained computerized neural network. The neural network is configured to determine and operational status of the sensor technology and whether the remedial action has been taken. The computer system outputs a notification identifying a current risk and a determination of whether the remedial action has deployed.

Abstract: The technology disclosed relates to a method for storing and time-correlating real-time and queryable test results of a test of a device under test (DUT). The method includes initiating the test applied to the DUT to collect real-time data from a multitude of data streams for multiple aspects of the DUT, the collected data including counters and fact-type values, the collected data having imperfectly synchronized time bases and the collected data being collected from different sources asynchronously at different times, specifying a recording time interval for recording the data collected among multiple databases, recording data according to the specified recording time interval, such that each piece of the recorded data is associated with a particular time interval, and at a conclusion of the test, correlating the recorded data with the test configuration data about a test state in the respective time intervals.

Abstract: The present application provides data processing methods, apparatuses, and electronic devices. One method includes: obtaining original event attributes of an event; performing data filling to obtain attribute data based on a pre-configured event correlation configuration that comprises an attribute configuration; and performing data conversion based on the original event attributes and the attribute data to obtain updated event attributes.

Abstract: A connection box for solar panels to enable the use of multiple types of passive and active covers for different functionalities in the junction box built into the panel to which the connection box is fixedly attached.

Abstract: A display device for process automation includes a display unit, a controller, a current loop interface and a fieldbus interface. The display device is designed for power supply via the current loop interface, and the controller is designed to assign an analog coded signal of an output data present at the current loop interface to a first input data and to display the first input data via the display unit. The controller is designed to request the transmission of the output data in the form of a digitally coded signal via the fieldbus interface, to receive the digitally coded signal via the fieldbus interface, to assign the digitally coded signal to a second input data, to perform a comparison between the first input data and the second input data, and to display a result of the comparison via the display unit.

Abstract: A scalable industrial data ingestion and analysis architecture integrates and collects data from multiple diverse sources at one or more industrial facilities. Data sources can include plant-level industrial devices and higher-level business systems. The data can be integrated and collected from multiple sources at an on-premise edge or gateway device, which sends the data to event queues on the cloud platform. The data queues orchestrate and store the data on cloud storage, and an analytics layer performs business analytics or other types of analysis on the stored data to produce various outcomes. Similar analytic platforms can also be implemented at the device level, and analytic functions can be scaled between the device level and higher levels in accordance with the scope of a given analytic function.

Abstract: A method for qualifying a gas turbine engine component includes creating a first set of substantially identical gas turbine engine components via a uniform manufacturing procedure, determining a set of as-manufactured parameters of each gas turbine engine component in the first set, and determining a variance model of the first set. The variance model includes a representative parameter profile, which includes a plurality of component parameter profiles. The sum of each of the component parameter profiles is the representative parameter profile.

Abstract: According to one embodiment, a sensor design support apparatus includes: an inter-data feature calculator and a model constructor. The inter-data feature calculator combines any two pieces of data based on first to k-th data acquired from each of a plurality of sensors in response to first to k-th conditions being satisfied to generate a plurality of data pairs for each of sensors, the sensors monitoring a target; and calculates a plurality of inter-data features based on the plurality of data pairs. The model constructor calculates a plurality of coefficients corresponding to the plurality of inter-data features in a classification model based on state data indicating states of the monitoring target at times which the first to k-th conditions are satisfied, wherein the classification model associates the plurality of coefficients and the plurality of inter-data features with a value identifying a state of the monitoring target.

Abstract: A computer-implemented method is provided for training a classification model. The method includes preparing, by a processor, positive and negative class data. The method further includes iteratively training the classification model, by the processor, using the positive class data and the negative class data such that the positive class data is reconstructed and the negative class data is prevented from being constructed, by the classification model. In response to a selection of a non-integer value as a number of negative learning iterations to be performed to train the classification model, a particular set of the negative class data that is reconstructed best by the classification model from among all of the negative class data is selected to be used for negative learning by the classification model. The training based on the positive class data is performed once before the negative learning iterations and once after each negative learning iteration.

Abstract: A computer-implemented method is provided for training a classification model. The method includes preparing, by a processor, positive and negative class data. The method further includes iteratively training the classification model, by the processor, using the positive class data and the negative class data such that the positive class data is reconstructed and the negative class data is prevented from being constructed, by the classification model. In response to a selection of a non-integer value as a number of negative learning iterations to be performed to train the classification model, a particular set of the negative class data that is reconstructed best by the classification model from among all of the negative class data is selected to be used for negative learning by the classification model. The training based on the positive class data is performed once before the negative learning iterations and once after each negative learning iteration.

Abstract: Network addresses which are frequently accessed by user terminals are monitored by a network access point to which the terminals are connected, and the network access point then makes attempts to access the network addresses from time to time and makes reports to a network management system of any such network addresses that fail to respond. This increases the likelihood of detection and reporting of failures of active addresses before the user has need of them.

Abstract: Embodiments of the application provide a method, apparatus, server, and terminal device for obtaining a vehicle loss assessment image. A computer-implemented method for obtaining a vehicle loss assessment image comprises: receiving video data of a damaged vehicle; detecting one or more video images in the video data to identify a damaged portion in the one or more video images; classifying the one or more video images into one or more candidate image classification sets of the damaged portion based on the identified damaged portion; and selecting a vehicle loss assessment image from the one or more candidate image classification sets according to a screening condition.

Abstract: A method for cognitive-based traffic incident snapshot triggering comprises acquiring data, via a first agent, from each of a plurality of local sensors. The first agent is configured to acquire the data from each of the plurality of local sensors in windows having a first window size. The method also comprises acquiring data, via a second agent, from each of a subset of the plurality of local sensors in windows having a second window size; detecting a pattern in the data acquired via the second agent, the pattern indicating a traffic incident; and in response to detecting a pattern indicating the traffic incident, aggregating all data acquired via the first agent from a time when the pattern was detected until motion of the vehicle stops with the pre-determined number of windows of data stored at the time when the pattern was detected.

Abstract: A failure diagnosis system includes a sensor that detects diagnosis target information of a diagnosis target device; a setting portion that sets a type of a determination value based on the diagnosis target information to be used for determination of whether an abnormality occurs in the diagnosis target device; and a diagnosis unit including a determination portion that determines whether the abnormality occurs in the diagnosis target device on the basis of the determination value of the type set by the setting portion. The diagnosis unit includes a first interface that outputs a determination result in the determination portion to a first external device, and a second interface that outputs a determination value of a type that is not set by the setting portion in addition to the determination value of the type set by the setting portion to a second external device.

Abstract: A particulate detection apparatus for controlling a particulate sensor which detects the amount of particulates discharged from a filter for collecting particulates contained in exhaust gas. The particulate sensor includes a detection section configured to electrify particulates contained in exhaust gas so as to produce electrified particulates. The particulate detection apparatus includes a period judgment section, an output obtainment section and an anomaly judgment section. The period judgment section judges whether or not the present point in time is within a previously set anomaly determination period just after completing a filter regeneration process. The output obtainment section obtains a sensor output representing the result of detection by the particulate sensor in the case where the present point in time is judged to be within the anomaly determination period.

Abstract: A diagnostic apparatus determines, at a reference time, whether a device is normal or abnormal, and in which operation state the device is at the time. A reference data creation unit repeats a process of storing sensor values acquired from the device while changing the operation state at the reference time in association with each of the determined operation states until there is no non-corresponding operation state with which the acquired sensor value is not yet associated. At a diagnosis time at which it is not known whether the device is normal or abnormal, an operation state and a sensor value of the device at the time is acquired. The stored sensor value associated with the acquired operation state is read to compare the sensor value acquired at the diagnosis time with the read sensor value to display a result of determination on whether the device is normal or abnormal.

Abstract: A noise generation cause estimation device capable of easily estimating the cause of noise generation in a factory is connected for communication with a plurality of machines in the factory. The noise generation cause estimation device is provided with a noise information acquisition unit configured to acquire noise information generated in the machines, an operation information acquisition unit configured to continually acquire operation information of all the machines, and a determination unit configured to learn the relevance between the noise information and the operation information. The determination unit is provided with a state observation unit configured to observe the noise information and the operation information as state variables indicative of a current state of the environment and a learning unit configured to form a plurality of clusters including the state variables.

Abstract: The present invention describes an electromagnetically positioning system, which can measure a position and orientation of a remote object in an isolated targeted examination area with time. Specifically, the remote object is a remote miniaturized examination device. During the location process, both the electromagnetically positioning system and the remote miniaturized examination device can have expected or unexpected, controlled and can-not-be-controlled movement. By implementing the electromagnetically positioning system, disclosed herein, position and orientation information of the remote miniaturized examination device can be linked with time, any information collected by the remote miniaturized examination device, for example, the photo images collected, can be associated kinetically with time and positioning information of the examination device, when the remote miniaturized examination device travels inside an isolated target examination area.

Abstract: A power distribution system for a vehicle includes contactors that selectively electrically couple a charger to a high-voltage bus. The contactors are closed at the start of a charge event in an order that alternates for successive charge events. Upon completion of the charge event, the last closed contactor at the start of the charge event is opened first and a weld check is performed. If the weld check is indicative of a welded contactor, then the weld check is performed on the other contactor.

Abstract: Provided is a method for estimating optimal efficiency point parameters in an axial-flow PAT power generation mode, including: I1, calculating an axial velocity of an optimal efficiency point; I2, calculating a flow rate of the optimal efficiency point; I3, calculating a theoretical hydraulic head; I4, calculating a frictional hydraulic head loss and a local hydraulic head loss of each segment; I5, calculating an output power of the optimal efficiency point; I6, calculating a hydraulic head of the optimal efficiency point in a power generation mode; and I7, calculating an optimal efficiency. Further provided is a method for estimating a performance curve in an axial-flow PAT power generation mode based on the above method for estimating an optimal efficiency point parameter, including: II1, calculating a normalized flow-hydraulic head curve; II2, calculating a normalized hydraulic head-output power curve; and II3, calculating a hydraulic head-efficiency curve.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a technician selector to: identify at least one of a skill level, tools list, or replacement part list to fix a problem based on an identified problem corresponding to a service request from an imaging device; and access resources from a database of resources available to service the imaging device; a multiplier to weight resources based on at least one of the skill level, possessed tools in comparison to the tools list, possessed replacement parts in comparison to the replacement part list, distance to service location, or availability; and an interface to transmit the service request using a wireless communication to a repair device of the highest weighed resource, the service request to be augmented to include a configuration for the repair device to facilitate addressing of the service request by the highest weighted resource.

Abstract: An analysis control device controls an analysis based on time series data for each of a plurality of sensors corresponding to a plurality of components that constitute a target device. The analysis control device acquires sensor data sets belonging to an analysis target time zone among the time series data of each of the plurality of sensors. Each sensor data set includes measurement values measured by a sensor. The analysis control device calculates an evaluation value according to a simple evaluation by using two or more sensor data sets corresponding to the sensor among the plurality of sensor data sets belonging to the analysis target time zone. The analysis control device sets an execution order of the analysis based on the measurement values of the sensor within a restricted time corresponding to the analysis target time zone in a descending order of the calculated evaluation value.

Abstract: An air-conditioning control method includes: acquiring a first sensor value measured by a first sensor device provided at a different position within an identical space to a second sensor device at a first frequency; acquiring a second sensor value measured by the second sensor device at a second frequency, wherein the second frequency is higher than the first frequency; generating a first sensor predicted value from the second sensor value based on a correlation between the first sensor value and the second sensor value in a period in which the second sensor value is acquired and the first sensor value is not acquired; and determining an operation of an air-conditioning apparatus based on the first sensor predicted value.

Abstract: A patient support apparatus comprises a support structure comprising a base and a patient support surface to support a patient. An actuator system facilitates movement of the patient support surface relative to a floor surface. One or more sensors are responsive to changes in position of the patient support surface caused by the actuator system. A controller is operably coupled to the one or more sensors and the actuator system. The controller is configured to operate the actuator system to move the patient support surface and to monitor the movement of the patient support surface by sensing positions of the patient support surface over time. The controller is further configured to identify a frictional load event on the actuator system during movement in a present cycle and associate the frictional load event with a sensed position of the patient support surface in the present cycle.

Abstract: Various embodiments provide for alert generation based on alert dependency. For some embodiments, the alert dependency checking facilitates alert noise reduction. Various embodiments described herein dynamically find or discover alert dependencies based on one or more alerts currently active, one or more active alerts generated in the past, or some combination of both. Various embodiments described herein provide alert monitoring that adapts based on an alert state of a machine. Various embodiments described herein generate a health score for a machine based on an alert state of the machine. Various embodiments described herein provide a tool for managing definitions of one or more alerts that can be identified as an active alert for a machine.

Abstract: Systems, methods, and computer-readable media for implementing local and wide network suppression of query requests in zero-configuration networking. Disclosed are systems, methods, and computer-readable storage media for implementing suppression of query packets zero-configuration networking over local and wide networks by utilizing agents, application programming interfaces (API), and a controller. The suppression can be determined based on two time periods, a processing period and a suppression period.

Abstract: The time-series data diagnosis device includes a storage, a difference-degree calculator, a diagnosis-result-information generator, an evaluation information acquirer, and an updater. The difference-degree calculator calculates a difference degree between diagnosis target time-series data and a learned-sample subsequence data item stored in the storage. The diagnosis-result-information generator generates, based on the difference degree calculated by the difference-degree calculator, diagnosis result information about the diagnosis target time-series data. The evaluation information acquirer acquires evaluation information indicating evaluation as to whether a diagnosis result indicated by the diagnosis result information is valid.

Abstract: A remote user can specify data collection and processing characteristics of a wireless sensor network. In one example, a configuration station enables a user to activate/deactivate different sensor channels of data to support a delivery of data streams to customers. In another example, a configuration station enables a user to specify reporting intervals for different sensor channels of data. In yet another example, a configuration station enables a user to specify transformation functions for different sensor channels of data. The remote configuration process can be applied to every sensor in every sensor module unit attached to every wireless node at a monitored location.

Abstract: A blowout preventer (BOP) health monitoring system includes a controller having a tangible, machine readable-medium storing one or more instructions executable by a processor. The one or more instructions are configured to receive feedback from a sensor, where the feedback is indicative of a pressure within a BOP stack over time, determine a position of a plurality of components of the BOP stack, determine a start point and an end point of a pressure test based on the feedback, determine a decay and a hold duration of the pressure test based on the feedback, the start point, and the end point, determine a health index of the BOP stack based on the decay and the hold duration, and provide an output indicative of a condition of the BOP stack based on the health index.

Abstract: Systems and methods for activating and deactivating controlled devices are provided. Such systems and methods can include a microprocessor unit sampling signal data from a smart microwave sensor module to detect a presence of a user within a secured area, using the signal data to track a route of the user within the secured area, and activating or deactivating the controlled devices located within the secured area based on a location of an end of the route. Such systems and methods can include activating the controlled devices when the location of the end of the route is within the secured area and deactivating the controlled devices when the location of the end of the route is not outside of the secured area.

Abstract: The present disclosure describes methods and apparatuses for application analysis with flexible post-processing. One test suite can be used to analyze an application for multiple different types of potential issues. In example implementations, an application is provided to an application runner. The application runner executes the application and crawls through various user interface (UI) screens from a user interaction perspective in accordance with a test suite. Based on different UI screens, the application runner generates a set of artifacts that includes metadata pertinent to different types of potential issues with operation of the application. Multiple different post-processors are provided access to the set of artifacts, with each respective post-processor corresponding to a respective type of issue.

Abstract: An indicator detection system includes: a data acquiring unit configured to acquire operation data of a machine and operation history data indicating an operation history of the machine; an estimation unit configured to calculate a first estimated value of a parameter of the machine which is to be monitored on the basis of the operation data, the operation history data and an estimation model for estimating a value of the parameter at a time point corresponding to the operation history data for the parameter; and a state evaluating unit configured to evaluate a state of the machine on the basis of a difference between the first estimated value of the parameter from the estimation unit and a measured value or a second estimated value of the parameter included in the operation data acquired by the data acquiring unit.

Abstract: A system can include a processor configured to generate a query for a workflow results table, the query including query criteria to include records not having an associated child in the workflow results table and having a value indicating an unsuccessful status. The processor can be further configured to execute the query against the workflow results table to identify at least one activity record having a value indicating an unsuccessful status for the execution of at least one respective workflow activity. The processor can be further configured to generate a graph of workflow activity records between the at least one activity record and a root workflow activity record using context information associated with the workflow activity records. The processor can be further configured to determine an automated remedial action based on the graph of workflow activity records and to execute the remedial action.