Carrier Corporation

Otis Elevator Company

Xing Cai

Sheng Li

Xinyu Wu

Marcin Cychowski

Jun Pyo Lee

Daniel J Dempsey

Daniel A Mosher

Stella M Oggianu

Yun Gang Li

Hayden M Reeve

Haitao Zhou

Junqiang Fan

Hong Wei Zhang

Changle Li

Hong Zhang

Keyu Li

Shufu Ding

Keunmo Kang

Zhongjian Li

Buyun Jing

Yuanming Yuan

Zongtao Lu

The present invention relates to a method and a system of commissioning elevator, and an elevator system. The method includes obtaining at least one operation data of at least one elevator door, comparing the operation data with corresponding criterion operation data, and determining whether a deviation between the operation data and the criterion operation data exceeds a pre-set range, and if so, triggering a control over at least one control end relevant to the operation of the elevator door to make a deviation between the operation data re-obtained and the criterion operation data fall within the pre-set range. The invention will increase the efficiency in elevator commissioning and remove the adverse effects on elevator operation caused by factors such as 'Stack Effect', and thereby ensure good working condition and high security of elevators.

Elevator commissioning method, elevator commissioning system, and elevator system

A cooler system includes a plurality of cooler units; a condensed water flow path, an aqueous medium in the condensed water flow path sequentially flowing through each of the cooler units; a cooling water flow path, an aqueous medium in the cooling water flow path sequentially flowing through each of the cooler units in a flow direction opposite to a flow direction of the aqueous medium in the condensed water flow path; a plurality of current sensors used for detecting working currents of the cooler units; water temperature sensors used for detecting an entering water temperature and a leaving water temperature of the cooling water flow path; at least one virtual temperature sensor arranged between the cooler units and used for acquiring a middle water temperature between the cooler units; and a controller.

Chiller system, method for obtaining middle water temperature and control method thereof

Embodiments include a system and method for performing analytics based chiller sequencing. Embodiments include a plurality of chillers, a system controller configured to control the plurality of chillers, and one or more sensors in communication with the controller, the one or more sensors configured to generate operational data based on measured operational parameters of the plurality of chillers. Embodiments include the controller including a processor configured to obtain the operational data, calculate scores for each of the plurality of chillers based on the operational data, and rank the plurality of chillers based on the scores. The processor is further configured to sequence the plurality of chillers based at least in part on the ranking, and control operation of the plurality of chillers based on the sequencing.

Analytics based chiller sequencing

According to one embodiment, a method of operating a heating, ventilation, and air conditioning (HVAC) analytics system is provided. The method comprising: obtaining HVAC data for an HVAC unit in electronic communication with the HVAC analytics system; obtaining an HVAC unit characteristic of the HVAC unit; obtaining weather data for a geographical area where the HVAC unit is located; and determining an HVAC capacity available ratio (CAR) in response to the weather data, the HVAC unit characteristics, and the HVAC data.

System and method of HVAC health monitoring for connected homes

A self-adaptive smart setback heating, ventilation and air conditioning (HVAC) control system includes an HVAC unit configured to deliver at least one of heated air and cooled air to a target area. A temperature sensor determines a current internal air temperature (IAT) of the target area. An HVAC controller is in signal communication with the HVAC unit and the temperature sensor. The HVAC controller selectively operates in an active mode and a setback mode. The active mode controls the HVAC unit based on a first temperature setpoint value, and the setback mode controls the HVAC unit based on a second temperature setpoint value different from the first temperature setpoint value. The HVAC controller includes an electronic temperature setback unit that is configured change the IAT during the setback mode based on an actively determined upcoming temperature recovery rate.

Self-adaptive smart setback control system

A heating, ventilation, and air conditioning (HVAC) energy management control system includes an HVAC system configured to deliver at least one of heated air and cooled air to a targeted area; and a computing server including an HVAC energy analytics engine in signal communication with the HVAC system. The HVAC energy analytics engine is configured to actively learn historical data of the HVAC system based on at least one of the heated air and the cooled air produced over a time period. The HVAC energy analytics engine determines a predicted energy consumption of the HVAC system based on the historical data, and the HVAC system operates based on the predicted energy consumption.

HVAC system including energy analytics engine

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Shanghai, China

Xing Cai