Abstract: Methods and systems for operating a Heating, Ventilating and Air Conditioning (HVAC) system in accordance with one of a plurality of operating modes. The plurality of operating modes include one or more of a health mode, an energy savings mode and a balanced mode. In some cases, the operating modes include two or more energy saving modes. The currently operating mode is selected based on the current operating conditions of the building and the desired goals of the building operator. The goals can include, for example, reducing energy usage, reducing pathogen risks, increasing air quality and/or a combination of these goals. In some cases, the operating modes are autonomously controlled. In some cases, the operating modes are manually controlled.

Abstract: Appropriate ventilation for a building space while maintaining building comfort includes tracking one or more interior environmental conditions within the building space and one or more exterior environmental conditions outside of the building space during operation of the HVAC system. An environmental model for the building space is learned over time based at least in part on these tracked environmental conditions, where the environmental model predicts an environmental response of the building space to operation of the HVAC system under various interior and exterior environmental conditions. An appropriate ventilation rate that maintains adherence to one or more comfort parameters of the building space is determined by using the environmental model of the building space. The outdoor air ventilation damper of the HVAC system is controlled to provide appropriate ventilation.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Systems and methods for using artificial intelligence models to identify a current threat scenario are provided that train the artificial intelligence models to infer or recognize different threat scenarios using values from a plurality of sensors, including historical data from the plurality of sensors during known threat scenarios. In some embodiments, systems and methods can use current ones of the values from the plurality of sensors to aggregate a respective output from each one of a set of the plurality of artificial intelligence models to identify the current threat scenario present in an area monitored by the plurality of sensors and execute an action corresponding to the current threat scenario.

Abstract: Systems and methods for upgrading legacy surveillance systems to employ artificial intelligence based monitoring are provided. Such systems and methods can include a network interface device of a network connected device that can receive a primary data stream from a legacy surveillance system, a first processor of the network connected device that can receive user input identifying a type of the legacy surveillance system and process the primary data stream based on the type of the legacy surveillance system, and an artificial intelligence processor of the network connected device that can monitor the primary data stream as processed by the first processor to determine whether a current state of the secured area corresponds to a trigger condition and, when the current state of the secured area corresponds to the trigger condition, initiate a standard workflow for the type of the legacy surveillance system.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Gas meter data validation for a Meter Data Management (MDM) system including a communications network connecting gas data downloading device(s) receiving gas meter data including corrected gas volume data (CGVD) and state variable(s) data from primary gas meter(s) to the system, and a server implementing gas data validation (GDV) software. The GDV software performs data validation checks on the gas meter data including the CGVD to identify erroneous CGVD, and if a data validation check fails, performs a root cause analysis to diagnose a root cause involved in the erroneous CGVD using the data validation check and additional information regarding the communications network and primary gas meter, and error resolution depending on the root cause during the time interval including (i) calculating a revised CGVD after refetching uncorrected GVD and the state variable data or (ii) estimating the state variable data and calculating the revised CGVD therefrom.

Abstract: A network includes a plurality of logical access entities. Each access entity includes two or more communication interfaces. The network further includes a plurality of logical node entities. Each logical node entity includes two or more communication interfaces that are configured to wirelessly communicate in a redundant manner with any of the logical access entities. In an embodiment, a communication degradation in the network is assessed, and the network is configured as a function of that assessment to provide fault tolerance within the network.

Abstract: A process for optimizing a portfolio of products produced from a crop includes the use of an objective function to determine optimized quantities of the products in the portfolio. The objective function, for example, includes quantity terms for the products. The objective function may also include additional terms such as an energy term and/or a storage term. The energy term, for example, relates to an amount of energy required to produce the products. The storage term, for example, relates to the cost of storing products. The crop, for example, may be sugarcane, and the products, for example, may be sugar, molasses, bagasse, biofuel, electricity, and/or carbon credits.

Abstract: A network includes a plurality of logical access entities. Each access entity includes one or more communication interfaces. The network further includes a plurality of logical node entities. Each logical node entity includes one or more communication interfaces that are configured to wirelessly communicate in a redundant manner with any of the logical access entities. In an embodiment, a communication degradation in the network is assessed, and the network is configured as a function of that assessment to provide fault tolerance within the network.

Abstract: A network includes a plurality of logical access entities. Each access entity includes two or more communication interfaces. The network further includes a plurality of logical node entities. Each logical node entity includes two or more communication interfaces that are configured to wirelessly communicate in a redundant manner with any of the logical access entities. In an embodiment, a communication degradation in the network is assessed, and the network is configured as a function of that assessment to provide fault tolerance within the network.

Abstract: A process for optimizing a portfolio of products produced from a crop includes the use of an objective function to determine optimized quantities of the products in the portfolio. The objective function, for example, includes quantity terms for the products. The objective function may also include additional terms such as an energy term and/or a storage term. The energy term, for example, relates to an amount of energy required to produce the products. The storage term, for example, relates to the cost of storing products. The crop, for example, may be sugarcane, and the products, for example, may be sugar, molasses, bagasse, biofuel, electricity, and/or carbon credits.

Abstract: A digital signal representative of a difference in pressure is received from a differential pressure transmitter. A noise signal is obtained by processing the signal through a band pass filter or otherwise to provide a filtered noise signal. Absolute values of the filtered noise signal are calculated and compared to one or more predetermined threshold values to determine if one or more impulse lines are plugged. A training mode is used to determine the thresholds, which may be a function of flow rate and other flow conditions.

Abstract: A system and method modifies a dynamic model of a process in a plant for an advanced process control controller wherein the model includes sub models. Performance of the controller is monitored and performance degradation is quantified as the process changes. It is then determined whether a selected number of sub models need updating or the entire model dynamics need updating as a function of the quantified controller performance degradation If a selected number of sub models need updating, an excitation signal is initiated for such sub models to identify new sub models. If the entire model dynamics need updating, a complete perturbation signal is initiated and triggers exhaustive closed-loop identification of entire model. The newly identified model or sub models is incorporated in the controller.

Abstract: A wireless network system includes a plurality of nodes. Each node includes two or more redundant network interfaces, and each one of these network interfaces operates on a different channel. A plurality of links couple the nodes together. A layer residing on each of the nodes detects a link status associated with each interface, and switches to a redundant interface of a node when the link degrades beyond a tolerance. The routing and control layer provides redundant non-overlapping routes.

Abstract: A network includes a plurality of logical access entities. Each access entity includes one or more communication interfaces. The network further includes a plurality of logical node entities. Each logical node entity includes one or more communication interfaces that are configured to wirelessly communicate in a redundant manner with any of the logical access entities. In an embodiment, a communication degradation in the network is assessed, and the network is configured as a function of that assessment to provide fault tolerance within the network.

Abstract: A digital signal representative of a difference in pressure is received from a differential pressure transmitter. A noise signal is obtained by processing the signal through a band pass filter or otherwise to provide a filtered noise signal. Absolute values of the filtered noise signal are calculated and compared to one or more predetermined threshold values to determine if one or more impulse lines are plugged. A training mode is used to determine the thresholds, which may be a function of flow rate and other flow conditions.

Abstract: Wireless devices are added to existing hardwired process control systems. In one embodiment, a wireless interface unit or module is used to provide an interface between wireless sensors and an existing hardwired bus or network. The wireless interface unit may be used at multiple different stages of the network, and provides protocol abstractions in one embodiment to provide reliability and quality of service consistent with devices in the existing network.