A method includes obtaining an actual value of a condition affected by operating the building equipment, operating the building equipment using a setpoint for the condition, calculating a stability index based on a timeseries of errors between the actual value and the setpoint, comparing the stability index to a criterion, in response to the stability index satisfying the criterion, executing an action relating to the building equipment, and in response to the stability index not satisfying the criterion, not executing the action.

A control circuit includes a latching relay, a power loss activation circuit, and a watchdog circuit. A microcontrol unit (MCU) communicates with the watchdog circuit in a normal operation of the control circuit. As an action of a failsafe precaution in the event of a main power loss or a component failure, the MCU stops communicating with the watchdog circuit, at which point the watchdog circuit instructs the power loss activation circuit to continue operation of the control circuit. The control circuit further operates to implement mitigation operations in the event of a main power loss or component failure.

The present invention relates to systems and methods for improved building systems management and maintenance. The present invention provides a system for providing an augmented reality-like interface for the management and maintenance of building systems, specifically the mechanical, electrical, and plumbing (MEP) systems within a building, including the heating, ventilation, and air-conditioning (HVAC) systems.

Autonomous carriers or totes that include vacuum units are provided. As the totes move or are moved through a warehouse carrying products, they collect debris. The debris can be analyzed at the tote, and actions can be performed based upon the analysis.

An information processing apparatus incudes a schedule determination unit configured to determine a schedule of an operating status for causing a temperature of an air-conditioned space of each of a plurality of load-side units to reach a specified set temperature at a specified set time, based on a learning model representing an input-output relationship between input data indicating an influencing factor of a thermal load of each of the load-side units and output data indicating the thermal load.

One aspect is directed to a system for controlling airflow in a facility having a ceiling-ducted aisle airflow containment system having a first damper system for controlling airflow. The system includes an input to receive parameters related to airflow in the facility, wherein the parameters include at least one airflow resistance value for a device in the facility, an output to provide output data including at least one setting for one or more controllable devices in the facility, and one or more processors configured to receive the parameters related to airflow, determine airflow values associated with the airflow containment system and based on the airflow values, generate the at least one setting for the one or more controllable devices, including at least one setting for the first damper system.

A controller that is configured to control operation of a building component may be programmed using a programming tool to build a controller logic that utilizes sub-structures organized within a hierarchal tree, which may then be downloaded to the controller. The controller is operated via the controller logic such that the controller controls operation of the building component. The programming tool may subsequently be used to update one or more of the sub-structures. The one or more updated sub-structures may be downloaded to the controller while not downloading one or more of the sub-structures that were not updated. The method includes continuing to control operation of the building component using the controller logic that now includes the one or more updated sub-structures.

Sub-systems of air handling units in infrastructures face unresolved problem of conflict in the rules that activate in a contradictory manner at the same time resulting in sub-optimal performance of the subsystems. The present disclosure provides a system and method for optimizing performance parameters of air handling units in infrastructures. Rule sets having conflicting conditions are identified after verification of rules which are specific to air handling units. Further, frequency of the rule sets having conflicting conditions is determined to generate a ranked list of the rule sets having conflicting conditions. Another ranking procedure is implemented for the rules comprised in the ranked list of the rule sets having conflicting conditions. The system dynamically optimizes one or more parameters specific to the performance criteria based on the ranking of rules.

A system includes a use side device of an air conditioner; a terminal; and a management server, wherein the terminal transmits first information for identifying the use side device installed in a predetermined property to the management server, and wherein the management server stores second information as information on a use side device to be installed in the predetermined property, and based on the first information and the second information received from the terminal, the management server determines whether the use side device installed in the predetermined property matches the use side device to be installed in the predetermined property.

Provided is a building equipment energy control system, the system including: a library configured to receive information on an equipment unit from a DDC device controlling a plurality of equipment units installed in a building, and store the received information; a modeling module configured to retrieve information on the equipment unit from the library and perform simulation modeling for the equipment unit to calculate energy usage; a control module configured to generate a control command for the equipment unit based on the energy usage calculated by the modeling module and provide the control command to the DDC device; and a correction module configured to calculate an error rate between actual energy usage of the equipment unit and the calculated energy usage and correct information on the equipment unit. Therefore, it is possible to derive an optimized control set value for each equipment unit by performing simulation modeling for various equipment units, so that energy saving performance and operating efficiency of the equipment units can be increased. In addition, by providing equipment performance information and equipment operation information for each equipment unit to a library in a modeling process, it is possible to optimize a control according to product specifications and operating characteristics of each equipment unit.