Abstract: A data analysis system uses metadata stored in association with database records to render mirror the data collection user interfaces utilized by the data collection systems to create the data records in the database. To enable this data analysis system functionality, the data collection system stores metadata defining the data collection user interface used to create a particular data record in association with that particular data record in the database. The data analysis system can then access the metadata to render a mirror of the data collection user interface on the fly, so that an operator of the data analysis system can create a new database record or edit a preexisting data record using the same user interface that was utilized to originally create the data record. The metadata typically defines the visual aspects, data parameters, and functional aspects of the data collection user interface.

Abstract: Internet-of-Things (“IoT”) controllers built using hardened industrial technologies which improve functionality and reliability, such as a fixed-loop model in which a loop is repeated with configured time periodicity where sensors are queried, sensor responses are read, configured calculations are performed, and logic rules are evaluated resulting in decisions made and outputs activated. A variety of redundancy techniques are utilized to provide continuous non-stop operation of IoT controllers to compensate for possible hardware and software failures. Robust IoT controller redundancy also allows periodic maintenance, software updates and security patch installation without shutting down the IoT controllers.

Abstract: Internet-of-Things (“IoT”) controllers built using hardened industrial technologies which improve functionality and reliability, such as a fixed-loop model in which a loop is repeated with configured time periodicity where sensors are queried, sensor responses are read, configured calculations are performed, and logic rules are evaluated resulting in decisions made and outputs activated. A variety of redundancy techniques are utilized to provide continuous non-stop operation of IoT controllers to compensate for possible hardware and software failures. Robust IoT controller redundancy also allows periodic maintenance, software updates and security patch installation without shutting down the IoT controllers.

Abstract: A data visualization system that automatically optimizes tick mark alignment to improve readability and conceptual accessibility of multiple graphs presented in a common display area. The data visualization system optimizes the tick mark alignment by normalizing the orders of magnitudes of the data sets and minimizing an objective function that balances tick resolution versus unused chart space on the common axis. The data visualization system may optionally color code the graphs and data ranges represented on the common axis to improve readability. Automatic scaling and tick mark alignment of the data sets is based on the display dimensions, which allows the graphs to be quickly re-optimized and redrawn on the fly. For example, the graphs may be automatically re-optimized and redrawn in response to display screen rotation, display area resizing, and display on different devices in a manner that appears to be effectively instantaneous to the typical user.

Abstract: A data analysis system uses metadata stored in association with database records to render mirror the data collection user interfaces utilized by the data collection systems to create the data records in the database. To enable this data analysis system functionality, the data collection system stores metadata defining the data collection user interface used to create a particular data record in association with that particular data record in the database. The data analysis system can then access the metadata to render a mirror of the data collection user interface on the fly, so that an operator of the data analysis system can create a new database record or edit a preexisting data record using the same user interface that was utilized to originally create the data record. The metadata typically defines the visual aspects, data parameters, and functional aspects of the data collection user interface.

Abstract: A data visualization system that automatically optimizes tick mark alignment to improve readability and conceptual accessibility of multiple graphs presented in a common display area. The data visualization system optimizes the tick mark alignment by normalizing the orders of magnitudes of the data sets and minimizing an objective function that balances tick resolution versus unused chart space on the common axis. The data visualization system may optionally color code the graphs and data ranges represented on the common axis to improve readability. Automatic scaling and tick mark alignment of the data sets is based on the display dimensions, which allows the graphs to be quickly re-optimized and redrawn on the fly. For example, the graphs may be automatically re-optimized and redrawn in response to display screen rotation, display area resizing, and display on different devices in a manner that appears to be effectively instantaneous to the typical user.