Abstract: A method and system for capturing, organizing, storing, and analyzing manufacturing process information, with storage and performance characteristics suitable for use in resource-constrained embedded devices. Process information is organized into extensible Channels, each of which captures information stored as extensible Events, each of which may include Metric, Category Value, Annotation, and System Fields. Shared Boundaries between Channels make it easier to organize, store, interrelate, analyze, and explore information. Channel Boundary Relationships (e.g., Coupling, Fragmenting, Projecting, and Aggregating) create shared Boundaries; and can create, or be combined to create, sets of Channels that share Boundaries (referred to as a Slice Set).

Abstract: A method and system for capturing, organizing, storing, and analyzing manufacturing process information, with storage and performance characteristics suitable for use in resource-constrained embedded devices. Process information is organized into extensible Channels, each of which captures information stored as extensible Events, each of which may include Metric, Category Value, Annotation, and System Fields. Shared Boundaries between Channels make it easier to organize, store, interrelate, analyze, and explore information. Channel Boundary Relationships (e.g., Coupling, Fragmenting, Projecting, and Aggregating) create shared Boundaries; and can create, or be combined to create, sets of Channels that share Boundaries (referred to as a Slice Set).

Abstract: A method and system for extending the capabilities of resource-constrained embedded devices by leveraging the memory and processing resources of clients such as web browsers (‘clients’) installed on host computational devices (‘host computers’). The embedded device delegates computational tasks such as generation of content (e.g., user interfaces, reports, configuration files, etc.) to clients and acts as a simple file and data server. The embedded device provides static resource files to each client, including static template files and a client processing engine.

Abstract: A method and system for extending the capabilities of resource-constrained embedded devices by leveraging the memory and processing resources of clients such as web browsers (“clients”) installed on host computational devices (“host computers”). The embedded device delegates computational tasks such as generation of content (e.g., user interfaces, reports, configuration files, etc.) to clients and acts as a simple file and data server. The embedded device provides static resource files to each client, including static template files and a client processing engine.

Abstract: A method and system for capturing, organizing, storing, and analyzing manufacturing process information, with storage and performance characteristics suitable for use in resource-constrained embedded devices. Process information is organized into extensible Channels, each of which captures information stored as extensible Events, each of which may include Metric, Category Value, Annotation, and System Fields. Shared Boundaries between Channels make it easier to organize, store, interrelate, analyze, and explore information. Channel Boundary Relationships (e.g., Coupling, Fragmenting, Projecting, and Aggregating) create shared Boundaries; and can create, or be combined to create, sets of Channels that share Boundaries (referred to as a Slice Set).

Abstract: A digital rate monitor including a microprocessor operating under program control to receive and process event pulses to calculate the rate of the event pulses, and display the calculated rate. The rate is calculated by accumulating a batch of pulses and measuring the time it takes to accumulate such number of pulses. The batch size for a given calculation is a function of the event pulse rate, and a different batch size is automatically selected if the event pulse rate increases or decreases within a certain range. The rate is calculated once per second by averaging sixteen pulses for high speed inputs, four pulses for intermediate rates, and using a single pulse for low speed inputs.