Abstract: An energy optimization system may determine an upcoming event associated with an activity associated with an area of a manufacturing facility out of a plurality of areas of a manufacturing facility. The energy optimization system may identify one or more air handling units (AHUs) associated with the area of the manufacturing facility out of a plurality of AHUs associated with the manufacturing facility. The energy optimization system may determine, based on the activity, an operational mode for the one or more AHUs out of a plurality of operational modes. The energy optimization system may send, to a building management system, instructions that cause the one or more AHUs to operate according to the operational mode.

Abstract: An example method for building equipment failure prediction and autocorrection, the comprises receiving building management system data associated with building equipment at a site managed by a building management system, analyzing the building management system data or a derivative of the building management system data using a combination of: i) a physics model and ii) a machine-learning model to generate an asset health score (AHS) via the physics model; and a machine-learning score (MLS) via the anomaly detection model; determining an aggregated building equipment failure probability as a function of the AHS and the MLS; based on the aggregated building equipment probability, identifying a building equipment failure of one or more of the building equipment; determining whether the building equipment failure can be automatically remediated; and automatically remediating the building equipment failure.

Abstract: A method, according to one embodiment, includes generating an encryption key pair within a secure execution virtual machine, where the encryption key pair includes a private key and a public key. The method further includes storing the private key within the secure execution virtual machine, and determining whether any layers of a first container image contain sensitive data. In response to a determination that a first of the layers of the first container image includes the sensitive data, the public key is used to encrypt the first layer. In response to receiving a request for the first container image, the private key is used to decrypt the first layer in the secure execution virtual machine. A computer program product, according to another embodiment, includes one or more computer-readable storage media, and program instructions stored on the one or more storage media to perform the foregoing method.

Abstract: Integrated circuit (IC) packages with On Package Memory (OPM) architectures are disclosed herein. An example IC package includes a substrate having a first side and a second side opposite the first side, a semiconductor die mounted on the first side of the substrate, and a die pad on the first side of the substrate. The die is electrically coupled to the die pad. The IC package also includes a memory pad on the first side of the substrate. The memory pad is to be electrically coupled to a memory mounted on the first side of the substrate. The IC package further includes a ball on the second side of the substrate, and a memory interconnect in the substrate electrically coupling the die pad, the memory pad, and the ball.

Abstract: Techniques for optimizing energy utilized by a HVAC system in a facility are described. In one aspect, one or more parameters corresponding to a zone from amongst a plurality of zones within the facility are obtained. The one or more parameters include occupancy data, facility data, and an occupancy schedule, where the occupancy data indicates a number of occupants present in the zone at a first instance of time. Further, an optimum temperature set point of the zone in correspondence to the one or more parameters is determined and a current temperature set point of the zone is transitioned to the optimum temperature set point of the zone, where the transitioning to the optimum temperature set point of the zone is to optimize energy utilization of the zone. Similarly, techniques of the present subject matter optimize a Variable Air Volume (VAV) flow rate of the zone in correspondence to the one or more parameters.

Abstract: A method and system for determining optimal start and stop time of Air Handling Units (AHU) are disclosed. The method comprises receiving, via at least one processor, a set of parameters associated with one or more zones in real time; determining an occupancy status of each of one or more zones based at least on received set of parameters; determining at least one start time and stop time for an Air Handling Unit (AHU) for each of one or more zones using historical data and each model of a plurality of models; determining a weighted average value for the determined at least one start time and stop time for the AHU based on a predefined weight allocated to each of at least one start time and stop time; and determining an optimal start and stop (OSS) time of AHU for each zone based at least on weighted average value.

Abstract: A system provides for evaluating a hotel guest's satisfaction of a hotel, the hotel including a plurality of guest rooms, the hotel guest staying in a guest room of the plurality of guest rooms in the hotel. The system includes one or more sensors within the guest room that are configured to provide data points indicative of guest activities in the guest room, the one or more sensors operably coupled to a hotel network within the hotel. A server is remote from the guest room and is configured to receive the data points from the one or more sensors via a connection to the hotel network and to use the data points to calculate a guest satisfaction score for the guest room. The server is configured to display the guest satisfaction score.

Abstract: A building management system, such as a small or medium business, having one or more control devices. Assigning codes to devices, and reading and listing them may aid in configuring the devices. Templates may be used for dynamic configuration of devices and equipment. Representing terminal assignments and wiring diagrams of control devices may be intuitive in that they resemble real hardware for ease of complete installation. The present system and approach may provide an intuitive way of securely registering devices with cloud usage, for example, involving a mobile phone with no manual entry of data so that a user can complete this process with ease. An intuitive, automatic and asynchronous device configuration downloading may be seen, such as to multiple control devices in a single shot. There may be seamless configuration data synchronization, for example, in view of replacement devices, or so the latest data is readily available.

Abstract: A method and system to achieve heating and cooling temperature within one or more zones when occupied is disclosed. The method comprises training, via at least one processor, a machine learning (ML) model based at least on historical temperature data and input conditions of one or more zones; receiving temperature data from one or more sensors and one or more input conditions of the one or more zones for a predefined time period in real-time; determining a threshold time period to achieve heating or cooling temperature within the one or more zones when occupied using the trained ML model, based at least on the received temperature data and input conditions of the one or more zones for the predefined time period; and adjusting the one or more temperature set points to achieve heating or cooling temperature within the one or more zones when occupied.

Abstract: A method and system to predict occupancy status is disclosed. The method comprises receiving, via at least one processor, occupancy data of one or more zones via a plurality of sensors for a first period of time; determining occupancy trends for each zone for the first period of time using a trained machine learning (ML) model; mapping the determined occupancy trends for each zone with fluctuations in occupancy of each zone in real-time and booking status of each zone; and predicting occupancy of each zone for a second period of time and a threshold time for each zone to heat or cool at one or more temperature set points using the trained ML model based at least on the mapping. Thereafter, the method comprises adjusting the one or more temperature set points for each zone at the threshold time based at least on the prediction.

Abstract: A Building Management System (BMS) may be controlled in accordance with predicted occupancy using a trained model. A model is trained by providing the model with time stamped environmental data and corresponding time stamped occupancy data pertaining to a training building, wherein the time stamped environmental data is derived from one or more environmental sensors of the training building and the corresponding time stamped occupancy data is derived from one or more occupancy sensors of the training building. Once trained, the trained model is provided with time stamped environmental data for a use building that is derived from one or more environmental sensors of the use building. The trained model outputs a predicted occupancy value that represents a predicted occupancy count in the use building, and the BMS of the use building is controlled based at least in part on the predicted occupancy value.

Abstract: Various aspects of the disclosure relate to distributed ledger computing systems and customizing tokens for securing and facilitating transactions recorded in the distributed ledger. A token customization module may be used to build customized controls into a token for use in a blockchain system. The token customization module may personalize or otherwise customize rules based on requirements of a user's particular use of the distributed ledger system. The customized rules may be used to trigger alerting behavior, prevent and/or automate particular transactions, provide geofencing and/or regional restrictions for transactions of a specified type, among others. Once built, the rules may be incorporated into the tokens and immutably memorialized in the distributed ledger. The customized tokens may be associated with or incorporate a smart contract to layer additional functionality.

Abstract: A multi-site Building Management System (BMS) monitors performance of a local BMS at each of a plurality of remote sites. The multi-site BMS includes a controller that is configured to determine a plurality of local performance metrics associated with each local BMS based on the operational data received from each local BMS and to aggregate like ones of the plurality of local performance metrics, resulting in a plurality of aggregated performance metrics. The controller is configured to display on the display a plurality of panels, to display in each of the plurality of panels the corresponding one of the plurality of aggregated performance metrics and to display in each of the plurality of panels a ranking of one or more of the remote sites by their corresponding local performance metric.

Abstract: Various aspects of the disclosure relate to distributed ledger computing systems and customizing tokens for securing and facilitating transactions recorded in the distributed ledger. A token customization module may be used to build customized controls into a token for use in a blockchain system. The token customization module may personalize or otherwise customize rules based on requirements of a user's particular use of the distributed ledger system. The customized rules may be used to trigger alerting behavior, prevent and/or automate particular transactions, provide geofencing and/or regional restrictions for transactions of a specified type, among others. Once built, the rules may be incorporated into the tokens and immutably memorialized in the distributed ledger. The customized tokens may be associated with or incorporate a smart contract to layer additional functionality.

Abstract: Methods and systems for maintaining electrical energy or power consumption or output of a charging station group on-site at a facility below a group threshold charging rate. Charging station groups may include one or more electric vehicle (EV) charging stations each with one or more EV charging ports having a corresponding maximum rated charging rate. Maintaining electrical energy or power consumption or output below a group threshold charging rate may include assigning a threshold charging rate to each of the one or more EV charging ports, identifying a charging port status of each of the one or more charging ports, increasing or decreasing the threshold charging rate of one or more of the EV charging ports that are identified as having a charging port charging status to an increased or decreased charging rate, and controlling each the one or more EV charging ports with an associated threshold charging rate.

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 state of the building space in response to operation of the HVAC system under various interior and exterior environmental conditions. A maximum allowed ventilation rate that can be achieved without causing the HVAC system to compromise on any of one or more comfort conditions of the building space is predicted using the environmental model. The outdoor air ventilation damper of the HVAC system is then controlled to provide an appropriate ventilation up to or at the predicted maximum allowed ventilation rate.

Abstract: A building management system, such as a small or medium business, having one or more control devices. Assigning codes to devices, and reading and listing them may aid in configuring the devices. Templates may be used for dynamic configuration of devices and equipment. Representing terminal assignments and wiring diagrams of control devices may be intuitive in that they resemble real hardware for ease of complete installation. The present system and approach may provide an intuitive way of securely registering devices with cloud usage, for example, involving a mobile phone with no manual entry of data so that a user can complete this process with ease. An intuitive, automatic and asynchronous device configuration downloading may be seen, such as to multiple control devices in a single shot. There may be seamless configuration data synchronization, for example, in view of replacement devices, or so the latest data is readily available.

Abstract: In one embodiment, an apparatus includes a circuit board having a parallel bus with a first trace and a second trace, a first inductive coil coupled to the first trace, and a second inductive coil coupled to the second trace. The first and second inductive coils are arranged to inductively couple with one another to reduce cross talk effects in the parallel bus.

Abstract: Live and historical power usage data of one or more loads of a facility may be provided to an AI/ML (Artificial Intelligence/Machine Learning) model. The AI/ML model predicts one or more predicted power usage peaks that are predicted to occur during a future time window based at least in part on the live and historical power usage data of the one or more loads of the facility. One or more loads of the facility are identified that are predicted to contribute to each of the one or more predicted power usage peaks. One or more of the loads of the facility that are predicted to contribute to a selected one of the one or more predicted power usage peaks are controlled to curtail power usage during the selected one of the one or more predicted power usage peaks.

Abstract: A system reduces risk of pathogen exposure within a space that is located within a facility having a plurality of spaces that periodically have one or more people within the space. The system includes one or more occupancy sensors that are configured to provide an indication of when the space is occupied and when the space is not occupied. A sanitizer is configured to sanitize surfaces within the space when activated. A controller is operably coupled with the one or more occupancy sensors and the sanitizer. The controller is configured to determine a designated time to sanitize the space based at least in part upon information received from the one or more occupancy sensors and to automatically instruct the sanitizer to sanitize surfaces within the space at the designated time.