Abstract: Devices, methods, and systems for data-driven acceleration of deployed services are described herein. One system includes a database configured to store a plurality of case pairs that correspond to previously calculated models, wherein the previously calculated models are based on a number of features, and wherein each of the plurality of case pairs comprise a first value representative of the number of features and a second value representative of deployed heating, ventilation, and air conditioning (HVAC) resources, a ranking engine configured to rank each of the plurality of case pairs based on a performance of the deployed services, and a deployment engine configured to: receive actual feature values, and deploy HVAC resources based on a comparison between the actual feature values and the plurality of ranked case pairs.

Abstract: A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.

Abstract: Devices, methods, and systems for data-driven acceleration of deployed services are described herein. One system includes a database configured to store a plurality of case pairs that correspond to previously calculated models, wherein the previously calculated models are based on a number of features, and wherein each of the plurality of case pairs comprise a first value representative of the number of features and a second value representative of deployed heating, ventilation, and air conditioning (HVAC) resources, a ranking engine configured to rank each of the plurality of case pairs based on a performance of the deployed services, and a deployment engine configured to: receive actual feature values, and deploy HVAC resources based on a comparison between the actual feature values and the plurality of ranked case pairs.

Abstract: A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.

Abstract: A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.

Abstract: A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.

Abstract: Devices and methods for microprocessor supervision in a special purpose computer system are provided. One illustrative embodiment includes a first watchdog timer internal to the microprocessor and a second watchdog timer external to the microprocessor. In some cases, the internal watchdog timer may be initiated prior to or during the operating system startup and the external watchdog timer may be initiated after the operating system is up and running. The internal watchdog timer may have a relatively longer timer duration than the external watchdog timer, but is not required in all embodiments. In some embodiments, the internal watchdog timer may monitor the microprocessor's startup sequence and the internal watchdog timer and/or external watchdog timer may monitor the microprocessor when the operating system is up and running. If the microprocessor faults at any time during startup or while the operating system is up and running, the internal and/or external watchdog timer may trigger a microprocessor reset.

Abstract: Devices and methods for microprocessor supervision in a special purpose computer system are provided. One illustrative embodiment includes a first watchdog timer internal to the microprocessor and a second watchdog timer external to the microprocessor. In some cases, the internal watchdog timer may be initiated prior to or during the operating system startup and the external watchdog timer may be initiated after the operating system is up and running. The internal watchdog timer may have a relatively longer timer duration than the external watchdog timer, but is not required in all embodiments. In some embodiments, the internal watchdog timer may monitor the microprocessor's startup sequence and the internal watchdog timer and/or external watchdog timer may monitor the microprocessor when the operating system is up and running. If the microprocessor faults at any time during startup or while the operating system is up and running, the internal and/or external watchdog timer may trigger a microprocessor reset.

Abstract: A method A and apparatus for monitoring and switching over from a primary bus to a back-up bus in a network having a master node and at least one slave node, the primary bus and the back-up bus each interconnecting the master node and the at least one slave node. The method includes periodically sending via the back-up bus from the master node to each of the slave nodes a master test packet containing a master address of the master node on the back-up bus and sending on the back-up bus from the at least one slave node to the master node and in response to receiving the master test packet, a slave test packet containing a slave address of the at least one slave node on the back-up bus.

Abstract: A method for initializing a communication network in a train including a plurality of cars, the network comprising a train bus, a train bus master on one of the cars and a train bus slave on each other car connectable to the train bus master by the train bus for communicating with the train bus master. The method includes determining whether the one car with the train bus master is located at one end of the train or is in the middle of the train. The method further includes transmitting first messages between the train bus master and each train bus slave, respectively, located in one direction for assigning an address to each train bus slave located in that one direction and acquiring data at the train bus master uniquely identifying the respective train bus slaves in that one direction.

Abstract: A method and apparatus for determining an overall master node for an overall communication network with a serial bus, wherein the overall communication network comprises an original communication network connected to a new communication network via a serial bus with high level data link control (HDLC) packets. The method and apparatus are especially applicable to trainline monitor systems since such systems are frequently divided up and rearranged because their associated trains are frequently divided up and rearranged. The method involves performing a series of steps in order to relinquish mastership of certain master nodes placing those master nodes in an inactive state and making a desired master node an overall master node of the resulting overall trainline monitor system, and the apparatus involves a corresponding series of means for performing these steps.