AIR CONDITIONER AND OPERATION METHOD THEREOF

    公开(公告)号:US20230116355A1

    公开(公告)日:2023-04-13

    申请号:US17958643

    申请日:2022-10-03

    Abstract: Disclosed is an air conditioner. The air conditioner includes: an outdoor unit having therein a compressor for compressing refrigerant; at least one indoor unit; a storage configured to store a database on a power quantity used by the air conditioner; and a controller. The controller is configured to: based on the database, calculate an estimated power quantity expected to be used by the air conditioner for at least a part of an entire period, based on a preset maximum power quantity for the entire period and the calculated estimated power quantity, determine a target power quantity for a specific unit time, which is expected to be used by the air conditioner for the specific unit time of the entire period; control the compressor for the specific unit time based on the target power quantity; and in response to arrival of a point in time to update the target power quantity, add, to the database, the power quantity used by the air conditioner for the specific unit time.

    SELF-CONTAINED DATA LOGGING AIR MEASUREMENT DEVICE

    公开(公告)号:US20230090958A1

    公开(公告)日:2023-03-23

    申请号:US17932550

    申请日:2022-09-15

    Abstract: Systems and methods of the present disclosure include heating, ventilation, and/or air conditioning (HVAC) air measurement devices configured to enable operators to select data relating to certain air flow parameters to be directly downloaded from the HVAC air measurement devices and/or to otherwise be transmitted directly from the HVAC air measurement devices in substantially real time during operation to enable operators to make analytical decisions quickly and to reduce design development timelines, among other things. In addition, the HVAC air measurement devices obviate the need for: (1) separate computing devices to be connected to the HVAC air measurement devices to extract the data from the HVAC air measurement devices, and/or (2) using specialized software to extract the data from the HVAC air measurement devices, as required by conventional HVAC air measurement devices.

    Systems and methods with variable mitigation thresholds

    公开(公告)号:US11609004B2

    公开(公告)日:2023-03-21

    申请号:US17048982

    申请日:2019-04-19

    Abstract: An indoor air quality (IAQ) system for a building includes an IAQ sensor that is located within the building and that is configured to measure an IAQ parameter. The IAQ parameter is one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air. A mitigation module is configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; and selectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold. A clean module is configured to determine a clean value for the IAQ parameter. A thresholds module is configured to, based on the clean value, determine the first ON threshold and the OFF threshold.

    MULTI-AREA ARTIFICIAL FOG PIPE NETWORK INTELLIGENT CONTROL METHOD AND SYSTEM BASED ON YOLOV5 ALGORITHM

    公开(公告)号:US20230083027A1

    公开(公告)日:2023-03-16

    申请号:US17847032

    申请日:2022-06-22

    Abstract: A multi-area artificial fog pipe network control method and system based on a YOLOv5 algorithm are provided. The method includes: obtaining thermal sensation data of each target person based on facial skin temperature; calculating group thermal sensation data of each subarea and total group thermal sensation data of an artificial fog pipe network area; determining a total flow of fog-making water introduced into the artificial fog pipe network according to target number of people and total group thermal sensation data; controlling opening gears of atomization nozzles on the artificial fog pipe networks in subareas according to a number of the target person in each subarea, the group thermal sensation data and a micro-action type of each target person. The method can realize purposes of saving energy, reducing emission, accurately controlling the flow of the fog-making water, and the people-oriented aim and outdoor group heat comfort maximization.

    Automatic threshold selection of machine learning/deep learning model for anomaly detection of connected chillers

    公开(公告)号:US11604441B2

    公开(公告)日:2023-03-14

    申请号:US16198377

    申请日:2018-11-21

    Abstract: A chiller threshold management system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to determine whether chiller fault data exists in chiller data used to generate a plurality of chiller prediction models. The one or more processors are further configured to generate a first threshold evaluation value for each of the plurality of chiller prediction models using a first evaluation technique in response to a determination that chiller fault data exists in the chiller data, and generate a second threshold evaluation value for each of the chiller prediction models using a second evaluation technique in response to a determination that chiller fault data does not exist in the chiller data. The one or more processors are configured to select a first threshold for each of the plurality of chiller prediction models based on the first threshold evaluation values in response to the determination that chiller fault data exists in the chiller data, and select a second threshold for each of the plurality of chiller prediction models based on the second threshold evaluation values in response to the determination that chiller fault data does not exist in the chiller data.

    Anomaly detection based on airflow alerters

    公开(公告)号:US11585557B2

    公开(公告)日:2023-02-21

    申请号:US16918677

    申请日:2020-07-01

    Abstract: A computer-implemented method for anomaly detection in a data processing system comprising a processor and a memory comprising instructions which are executed by the processor. The method includes receiving a plurality of real-time airflow patterns acquired by a plurality of airflow alerters, wherein each real-time airflow pattern corresponds to a different airflow alerter; comparing each real-time airflow pattern with a predetermined airflow pattern, wherein each real-time airflow pattern corresponds to a different predetermined airflow pattern; when there is any real-time airflow pattern different from the corresponding predetermined airflow pattern, identifying a group of airflow alerters among the plurality of airflow alerters, wherein a real-time airflow pattern of each airflow alerter in the group is different from the corresponding predetermined airflow pattern; and identifying a location of an anomaly based on the group of airflow alerters.

    Thermal modeling technology
    100.
    发明授权

    公开(公告)号:US11585549B1

    公开(公告)日:2023-02-21

    申请号:US16994947

    申请日:2020-08-17

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing thermal modeling. In one aspect, a method includes receiving monitoring data comprising temperature data measured inside a site, mode data, and state data, receiving weather data descriptive of weather at the site, and aligning the received temperature data, mode data, and state data with the received weather data. The method also includes determining an internal heat gain representing an amount of heat generated at the site irrespective of the heating or cooling system, determining at least one of a thermal product for the site or a thermal potential for the heating or cooling system, generating, based on the internal gain and the thermal product or the thermal potential, a thermal model for the site, and providing, as output, the generated thermal model.

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