Abstract: According to some embodiments, an available algorithm data store may contain information about a pool of available algorithms. An algorithm selection platform coupled to the available algorithm data store may access the information about the pool of available algorithms and compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the real environment. The algorithm selection platform may then automatically determine algorithm execution context information and, based on said comparison and the algorithm execution context information, select at least one of the pool of available algorithms as a potential replacement algorithm. An indication of the selected at least one potential replacement algorithm may then be transmitted (e.g., to be evaluated in a shadow environment by an algorithm evaluation platform).

Abstract: Methods and apparatus disclosed herein autonomously evaluate replacement algorithms. An example system associated with a live environment executing a current algorithm includes at least one memory, instructions, and processor circuitry to execute the instructions to manage execution of the current algorithm in the live environment, the live environment associated with a deployment platform, and manage, based on receipt of at least one potential replacement algorithm, a shadow environment causes execution of the at least one potential replacement algorithm in the shadow environment, the shadow environment instantiated separately from the live environment, the shadow environment utilizes data from the live environment during execution of the at least one potential replacement algorithm in the shadow environment.

Abstract: According to some embodiments, an available algorithm data store may contain information about a pool of available algorithms. An algorithm selection platform coupled to the available algorithm data store may access the information about the pool of available algorithms and compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the real environment. The algorithm selection platform may then automatically determine algorithm execution context information and, based on said comparison and the algorithm execution context information, select at least one of the pool of available algorithms as a potential replacement algorithm. An indication of the selected at least one potential replacement algorithm may then be transmitted (e.g., to be evaluated in a shadow environment by an algorithm evaluation platform).

Abstract: Methods and apparatus disclosed herein autonomously evaluate replacement algorithms. An example system associated with a live environment executing a current algorithm includes at least one memory, instructions, and processor circuitry to execute the instructions to manage execution of the current algorithm in the live environment, the live environment associated with a deployment platform, and manage, based on receipt of at least one potential replacement algorithm, a shadow environment to cause execution of the at least one potential replacement algorithm in the shadow environment, the shadow environment instantiated separately from the live environment, the shadow environment to utilize data from the live environment during execution of the at least one potential replacement algorithm in the shadow environment.

Abstract: An algorithm data store may contain information about a pool of available algorithms (e.g., to improve operation of an industrial asset). A deployment platform may be implemented in an edge portion at an industrial site associated with a live environment executing a current algorithm. A lifecycle manager of the deployment platform may manage execution of the current algorithm in the live environment creating source data. A performance manager may receive an indication of a selected at least one potential replacement algorithm from the pool of available algorithms and manage execution of the at least one potential replacement algorithm in a shadow environment using the source data. The performance manager may then report performance information associated with the at least one potential replacement algorithm. When appropriate, the potential replacement algorithm may replace the current algorithm.

Abstract: Method, and corresponding system, for establishing data communications with, and instructing, industrial machines in multiple locations. The method includes generating, using a first application, one or more machine communication messages. Each machine communication message contains data produced by one of a plurality of machines located at a first location. An instance of the first application runs on a processor of each of the plurality of machines. The method further includes sending the machine communication messages to a first message queue via a local area network. The method further includes retrieving, using a first server at a remote location connected via a network, the machine communication messages from the first message queue; and extracting from the messages, at the remote location, the data produced by the plurality of machines. The sending of the machine communication messages and the retrieving of the machine communication messages are done asynchronously.

Abstract: An algorithm data store may contain information about a pool of available algorithms. An algorithm analysis engine may compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the live environment. Based on the comparison, the algorithm analysis engine may select at least one of the pool of available algorithms as a potential replacement algorithm and transmit an indication of the selected at least one potential replacement algorithm. A deployment platform may include a lifecycle manager that manages execution of the current algorithm in the live environment. The lifecycle manager may also receive the indication of the selected at least one potential replacement algorithm, manage execution of the at least one potential replacement algorithm in a shadow environment, and report performance information associated with the current algorithm and the at least one potential replacement algorithm.

Abstract: An algorithm data store may contain information about a pool of available algorithms (e.g., to improve operation of an industrial asset). A deployment platform may be implemented in an edge portion at an industrial site associated with a live environment executing a current algorithm. A lifecycle manager of the deployment platform may manage execution of the current algorithm in the live environment creating source data. A performance manager may receive an indication of a selected at least one potential replacement algorithm from the pool of available algorithms and manage execution of the at least one potential replacement algorithm in a shadow environment using the source data. The performance manager may then report performance information associated with the at least one potential replacement algorithm. When appropriate, the potential replacement algorithm may replace the current algorithm.

Abstract: An algorithm data store may contain information about a pool of available algorithms. An algorithm analysis engine may compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the live environment. Based on the comparison, the algorithm analysis engine may select at least one of the pool of available algorithms as a potential replacement algorithm and transmit an indication of the selected at least one potential replacement algorithm. A deployment platform may include a lifecycle manager that manages execution of the current algorithm in the live environment. The lifecycle manager may also receive the indication of the selected at least one potential replacement algorithm, manage execution of the at least one potential replacement algorithm in a shadow environment, and report performance information associated with the current algorithm and the at least one potential replacement algorithm.

Abstract: According to some embodiments, an available algorithm data store may contain information about a pool of available algorithms. An algorithm selection platform coupled to the available algorithm data store may access the information about the pool of available algorithms and compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the real environment. The algorithm selection platform may then automatically determine algorithm execution context information and, based on said comparison and the algorithm execution context information, select at least one of the pool of available algorithms as a potential replacement algorithm. An indication of the selected at least one potential replacement algorithm may then be transmitted (e.g., to be evaluated in a shadow environment by an algorithm evaluation platform).

Abstract: Method, and corresponding system, for establishing data communications with, and instructing, industrial machines in multiple locations. The method includes generating, using a first application, one or more machine communication messages. Each machine communication message contains data produced by one of a plurality of machines located at a first location. An instance of the first application runs on a processor of each of the plurality of machines. The method further includes sending the machine communication messages to a first message queue via a local area network. The method further includes retrieving, using a first server at a remote location connected via a network, the machine communication messages from the first message queue; and extracting from the messages, at the remote location, the data produced by the plurality of machines. The sending of the machine communication messages and the retrieving of the machine communication messages are done asynchronously.

Abstract: A system and method for monitoring the health of a remotely located person is disclosed herein. The system includes at least one electronic device. The electronic device includes a first sensor a processor and a transmitter. The system also includes a remote monitoring station that receives data from at least one electronic device and produces an evaluation of the person's health.

Abstract: A system for predicting fall risk for a resident is provided. The system includes a fall risk prediction subsystem, configured to predict a fall risk likelihood for a resident based on data measurements collected from one or more sensors. One or more of the sensors comprise range control radar (RCR) sensors. The fall risk prediction subsystem further includes a fall analysis component configured to analyze the data measurements from one or more of the sensors and a fall risk assessment component configured to predict the fall risk likelihood for the resident based on the analysis.

Abstract: A system and method for monitoring the health of a remotely located person is disclosed herein. The system includes at least one electronic device. The electronic device includes a first sensor a processor and a transmitter. The system also includes a remote monitoring station that receives data from at least one electronic device and produces an evaluation of the person's health.

Abstract: In one aspect, a method is provided to track performance of a strategy to perform an analysis on a product using a global portal system. The method includes providing the strategy to customers and obtaining, from the customers, customer input relating to the performance of at least some products and corresponding components. For each customer who provides customer input, the method further includes providing the customer input to the system to perform a relative analysis on the components of the corresponding product and using the results of the relative analysis to determine whether a specific analysis is to be performed and on which of the components. If a specific analysis is to be performed, the specific analysis is performed on the determined components using the system and using results of the specific analysis to provide service and/or operational recommendations for the corresponding product to the customer.

Abstract: A system for predicting fall risk for a resident is provided. The system includes a fall risk prediction subsystem, configured to predict a fall risk likelihood for a resident based on data measurements collected from one or more sensors. One or more of the sensors comprise range control radar (RCR) sensors. The fall risk prediction subsystem further includes a fall analysis component configured to analyze the data measurements from one or more of the sensors and a fall risk assessment component configured to predict the fall risk likelihood for the resident based on the analysis.

Abstract: A technique is provided for designing and evaluating service models for components, functions, subsystems and field replaceable units in a complex machine system. At a component or item level, each model identifies various items, failure modes, and so forth which may be the root cause of anticipated serviceable events or faults. The design tools permit numerous interfaces to be used in the design of service models, and in the evaluation of the degree to which the models address detectability and isolation capabilities for the root causes of serviceable events and faults.

Abstract: A system and method for monitoring whether a resident is away from home or inactive within the home. A sensor, which includes a transmitter, a processor, a timer, and a detector, watches for motion to occur within a home. Upon sensing motion, the sensor sends a first signal indicative of the motion if the timer is not currently running and waits for the motion to end. If the timer already is running, the timer is restarted at zero. Upon expiration of a predetermined timing period, the sensor transmits a second signal indicative of inactivity. By comparing the timing of the second signal and the predetermined timing period, with a third signal sent by an exterior door sensor, a determination can be made whether the resident has left the home or is inactive within the home. The system includes a database, a CPU and State Model for determining the activity state of a home.

Abstract: A method for predicting a time to failure of a component in a system is presented. The method comprises obtaining a set of data measurements related to the component. The set of data measurements are representative of a plurality of parameters including a plurality of leading parameters. The method comprises generating a prediction model based upon the leading parameters considered in combination. The prediction model is then used to predict the time to failure of the component based on a set of real-time measurements, wherein the plurality of parameters are processed to predict the time to failure for the component. Finally, a confidence level for the predicted time to failure is determined based upon the plurality of parameters.

Abstract: A method for predicting a time to failure of a component in a system is presented. The method comprises obtaining a set of data measurements related to the component. The set of data measurements are representative of a plurality of parameters including a plurality of leading parameters. The method comprises generating a prediction model based upon the leading parameters considered in combination. The prediction model is then used to predict the time to failure of the component based on a set of real-time measurements, wherein the plurality of parameters are processed to predict the time to failure for the component. Finally, a confidence level for the predicted time to failure is determined based upon the plurality of parameters.