US20210199325A1 - Method and system for detecting a failure in hvac system, and memorizer - Google Patents

Method and system for detecting a failure in hvac system, and memorizer Download PDF

Info

Publication number
US20210199325A1
US20210199325A1 US17/058,411 US201917058411A US2021199325A1 US 20210199325 A1 US20210199325 A1 US 20210199325A1 US 201917058411 A US201917058411 A US 201917058411A US 2021199325 A1 US2021199325 A1 US 2021199325A1
Authority
US
United States
Prior art keywords
room air
hvac system
value
per unit
rate
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
US17/058,411
Other languages
English (en)
Inventor
Xinyu Wu
Sheng Li
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Carrier Corp
Original Assignee
Carrier Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Carrier Corp filed Critical Carrier Corp
Assigned to CARRIER CORPORATION reassignment CARRIER CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: UNITED TECHNOLOGIES CORPORATION
Assigned to UNITED TECHNOLOGIES CORPORATION reassignment UNITED TECHNOLOGIES CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: UNITED TECHNOLOGIES RESEARCH CENTER (CHINA) LTD.
Assigned to UNITED TECHNOLOGIES RESEARCH CENTER (CHINA) LTD. reassignment UNITED TECHNOLOGIES RESEARCH CENTER (CHINA) LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: LI, SHENG, WU, XINYU
Publication of US20210199325A1 publication Critical patent/US20210199325A1/en
Pending legal-status Critical Current

Links

Images

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/38—Failure diagnosis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F24F11/58—Remote control using Internet communication
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/50—Load

Definitions

  • the present invention relates to the field of detection and control, and more especially to a method, a system and a storage for detecting a fault of a HVAC system.
  • HVAC Heating, Ventilation and Air Conditioning
  • the present invention provides a method, a system and a storage for detecting a fault of a HVAC system, in order to address or at least relieve one or more of the above-described problems existing in prior arts and problems in other aspects.
  • the present invention provides a method for detecting a fault of a HVAC system, comprising the steps of:
  • the room air temperatures are obtained from a temperature controller for controlling the HVAC system.
  • operation data of each compression stage of the HVAC system is obtained from the HVAC system, and the compressor equivalent runtime is obtained by making a calculation based on a capacity ratio of each compression stage.
  • the method further comprises the steps of:
  • the method further comprises the step of:
  • the report information is transmitted to a cloud server via a wireless network, the wireless network comprising Wi-Fi, 4G, BT or ZigBee network.
  • the rate of change per unit time of the room air temperatures is determined as an abnormal value when the value property of the rate of change per unit time of the room air temperatures in the cooling mode or the heating mode is contrary to a set value property, or a difference value between the rate of change per unit time of the room air temperatures and zero is less than a preset value; and/or wherein the step of the processing of the values comprises calculating a sum of the values, calculating a arithmetic mean value of the values, or calculating a weighted mean value of the values.
  • the present invention provides a system for detecting a fault of a HVAC system, comprising a processor configured to perform the steps of:
  • the room air temperatures are obtained by the processor from a temperature controller for controlling the HVAC system.
  • operation data of each compression stage of the HVAC system is obtained by the processor from the HVAC system, and the compressor equivalent runtime is obtained by the processor by making a calculation based on a capacity ratio of each compression stage.
  • the processor is further configured to perform the steps of:
  • the processor is further configured to:
  • the report information is transmitted to a cloud server via a wireless network, the wireless network comprising Wi-Fi, 4G, BT or ZigBee network.
  • the rate of change per unit time of the room air temperatures is determined as an abnormal value when the value property of the rate of change per unit time of the room air temperatures in the cooling mode or the heating mode is contrary to a set value property, or a difference value between the rate of change per unit time of the room air temperatures and zero is less than a preset value; and/or wherein the step of processing the values comprises calculating a sum of the values, calculating an arithmetic mean value of the values, or calculating a weighted mean value of the values.
  • the present invention further provides a storage for storing instructions, wherein the instructions, when being executed, to implement the method for detecting a fault of a HVAC system according to any one of above items.
  • the method, system and storage for detecting a fault of a HVAC system have significant technical advantages and can be used for on-line fault detection of a HVAC system in order to effectively detect a series of faults such as faults of fast occurrence and faults involving slow degeneration of system performance, and output information such as alerts.
  • This will help relevant staff to find and identify HVAC system terminals possibly having problems more easily, so as to carry out an examination and repair as early as possible, and thereby increase the security and user satisfaction of the HVAC system.
  • FIG. 1 is a schematic flow diagram illustrating an embodiment of a method for detecting a fault of a HVAC system according to the present invention.
  • FIG. 2 is a schematic diagram illustrating compression stage runtime in an example of a HVAC system with two compression stages.
  • FIG. 3 is a schematic diagram illustrating a corresponding relationship between room air temperature and runtime in an example of a HVAC system.
  • FIG. 4 is a schematic diagram illustrating using a time window example to take statistics of the distribution of a rate of change per unit time of the room air temperature.
  • FIG. 5 is a schematic diagram about determining that a fault has occurred in one HVAC system example based on a statistical result of the distribution of a rate of change per unit time of the room air temperature shown in FIG. 4 .
  • FIG. 1 exemplarily shows a basic flow of an embodiment of a method for detecting a fault of a HVAC system according to the present invention, which may be employed to on-line detect a fault of a HVAC system conveniently.
  • the method may comprise the steps of:
  • Step S 11 obtaining room air temperatures during the operation of the HVAC system, and obtaining the equivalent runtime of the compressor during the operation of the HVAC system.
  • the data will be used to calculate a rate of change per unit time of the room air temperature discussed hereinafter.
  • the temperature data may be obtained in various ways.
  • the temperature data may be acquired by one or more temperature measuring elements, devices, instruments or the like disposed in the HVAC system, and may also be obtained conveniently from a temperature controller configured to control the HVAC system.
  • FIG. 3 illustrates six room air temperature data A, B, C, D, E and F during the operation of HVAC system, which schematically shows room air temperature fluctuations during the operation of HVAC system.
  • FIG. 2 exemplarily shows a HVAC system provided with two compression stages, i.e. compression stage 1 and compression stage 2 .
  • FIG. 3 it schematically shows a compressor equivalent runtime line 3 of one HVAC system after translation
  • operation data of each of the compression stages can be obtained from a HVAC system, and then compressor equivalent runtime is obtained by making a calculation based on respective capacity ratios of these compressor stages. That is to say, by multiplying the runtime of each compression stage and its capacity ratio to obtain a product of each compression stage, and then adding such products of the compression stages, the compressor equivalent runtime can be obtained.
  • an equivalent translation table may be provided based on data from the producer or supplier of the HVAC system or the compressor(s) therein or from professional institutions, or data from a test of a HVAC system or the compressor(s) therein. Therefore, the corresponding compressor equivalent runtime can be obtained by directly by consulting the table.
  • Step S 12 making a calculation based on the obtained room air temperatures and compressor equivalent runtime, to obtain a rate of change per unit time of the room air temperature within the compressor equivalent runtime, and distributing the obtained rate of change per unit time of the room air temperatures along a time axis.
  • a change rate per hour of room air temperature may be calculated by using one hour as a unit time.
  • the method of the present invention also allows to select other proper time intervals (e.g., 15 minutes, 30 minutes, 1.5 hours, 2 hours, 5 hours, etc.) as the unit time to calculate the rate of change per unit time of the room air temperature.
  • Step S 13 after the rate of change per unit time of the room air temperature are calculated, determining whether a fault occurs in the HVAC system based on changes of the data. This is because the rate of change per unit time of the room air temperature roughly indicates the fluctuation of room air temperature in a set unit time. That is to say, the data may reflect the operation condition of the HVAC system.
  • the HVAC system fails to continuously operate stably, which is embodied as that abnormal fluctuations occur to the rate of change per unit time of the room air temperature. As such, it can be effectively detected and determined that a fault has happened to the HVAC system.
  • the obtained a rate of change per unit time of the room air temperature may be further differentiated based on an operation mode of the HVAC system, to facilitate a fault analysis of the HVAC system based on corresponding changes in the rate of change per unit time of the room air temperature.
  • the obtained rate of change per unit time of the room air temperature are distributed along a time axis.
  • the unit time (such as one hour) employed in the calculation of a rate of change per unit time of the room air temperature is taken as the internal unit of the time axis.
  • the value properties of the rate of change per unit time of the room air temperatures when the HVAC system operates in a cooling mode and a heating mode may be defined as follows: in the cooling mode, the rate of change per unit time of the room air temperature with a normal property of room air temperature is set as a negative value, which is below the zero axis indicated by the dotted line shown in FIG. 4 , while the rate of change per unit time of the room air temperature with an abnormal property of room air temperature is set as a positive value, which is above the zero axis indicated by the dotted line shown in FIG.
  • the rate of change per unit time of the room air temperature with a normal property of room air temperature is set as a positive value, which is above the zero axis indicated by the dotted line shown in FIG. 4
  • the rate of change per unit time of the room air temperature with an abnormal property of room air temperature is set as a negative value, which is below the zero axis indicated by the dotted line shown in FIG. 4 .
  • a data dot 4 of a positive value will be determined as an abnormal value
  • a data dot 5 of a negative value will be determined as an abnormal value.
  • the above-described abnormal values mean the values being deviated from a normal value.
  • the value property of the rate of change per unit time of the room air temperature in the cooling mode or a heating mode being absolutely contrary to a set value property (that is, the value property of a normal value should be a negative value in the cooling mode, while an abnormal value is indicated by a positive value in the cooling mode, whereas the value property of a normal value should be a positive value in the heating mode, while the abnormal value is indicated by a negative value in the heating mode).
  • a set value property that is, the value property of a normal value should be a negative value in the cooling mode, while an abnormal value is indicated by a positive value in the cooling mode, whereas the value property of a normal value should be a positive value in the heating mode, while the abnormal value is indicated by a negative value in the heating mode.
  • the rate of change per unit time of the room air temperature may be determined as an abnormal value if the difference value between a rate of change per unit time of the room air temperature and zero is smaller than a preset value (values close to zero such as ⁇ 0.1, 0.1, ⁇ 0.15 or 0.15).
  • a time window 6 (which may be a runtime window or a calendar time window, and which may be chosen and configured based on specific application requirements) is set, and the number of the rate of change per unit time of the room air temperature with positive values (the number is two in the embodiment of FIG. 4 ) or the number of the rate of change per unit time of the room air temperature with negative values (the number is eight in the embodiment of FIG. 4 ) within the time window 6 is counted.
  • a preset value T which can be chosen and set according to specific application requirements, i.e., the circumstance illustrated by FIG. 5 , in which if a dot P has already exceeded the preset value T, it can be determined that a fault has been occurred in the HVAC system, wherein the fault is likely to be a fault of fast occurrence in the HVAC system (e.g., an operation abnormality occurs to a compressor capacitor), or a fault caused by slow performance degeneration of the HVAC system (e.g., a refrigerant leak, or pipe blocking of a heat exchanger) or others alike.
  • a preset value T which can be chosen and set according to specific application requirements
  • the method of the present invention allows using various other approaches to determine a HVAC system default based on the above-described rate of change per unit time of the room air temperature.
  • the values of the rate of change per unit time of the room air temperature i.e., the values of abnormal dots
  • appearing within the time window 6 may be processed to obtain a processed value, and then it is determined whether a fault occurs in the HVAC system based on whether the obtained processed value exceeds a set value (which can be chosen and set according to specific application requirements). That is, if the processed value exceeds the set value, it can be determined that a fault has occurred in the HVAC system.
  • FIG. 5 illustrates such a determination circumstance as well.
  • various calculation ways may be employed for processing the values of abnormal dots, and they may include, but not be limited to: calculating a sum of the values of these abnormal dots, calculating an arithmetic mean value of the values of these abnormal dots, and calculating a weighted mean value of the values of these abnormal dots. It should be understood that, the method of the present invention completely allows using more other possible calculating ways to process values of abnormal dots. Such a value processing result can reflect serious circumstances of these abnormal dots deviating from a normal value or a normal range. Further, the result may be compared with a set value to determine the possibility of fault occurrence in a HVAC system.
  • report information may be output, which may include, but not be limited to, alerting in the forms such as text, images, sound and/or light so as to urge relevant staff be aware of the fault of the HVAC system and thus can go for fixing the fault as early as possible.
  • the above-described information may be uploaded to a cloud server via a wireless network (such as Wi-Fi, 4G, BT or ZigBee network). In this manner, staff may conveniently and quickly identify, from a cloud server, the HVAC system terminal that has outputted the report information and possibly has a problem.
  • the HVAC system terminal possibly having a problem can be inspected and repaired as soon as possible, and at this time, the owner of the HVAC system might know nothing about that a problem has occurred to the HVAC system (such as refrigerant leaks and damages to compressor capacitor) and that adverse influences might be caused by it momentarily. Therefore, this will extremely increase user satisfaction and can increase security and reliability of the HVAC system.
  • the present invention further provides a system for detecting a fault of a HVAC system.
  • a system of the present invention may be provided with a processor, which is configured to perform the steps of:
  • obtaining room air temperatures during the operation of the HVAC system e.g., from a controller for controlling the HVAC system
  • obtaining compressor equivalent runtime during the operation of the HVAC system e.g., by the means exemplarily discussed above.
  • determining whether a fault occurs in the HVAC system based on a change in the rate of change per unit time of the room air temperatures (e.g., by the means exemplarily discussed above).
  • the above-described processor may also be configured to perform the steps of:
  • setting value properties of the rate of change per unit time of the room air temperatures when the HVAC system operates in a cooling mode and a heating mode to be negative values (or positive ones) and positive values (or negative ones), respectively, and distributing along a time axis the rate of change per unit time of the room air temperatures when they are determined as abnormal values;
  • a time window (which may be a runtime window or a calendar time window, and which may be chosen and configured according to requirements of specific applications);
  • the above-described processor may be further configured to: output report information after the fault is determined to have occurred in the HVAC system.
  • the report information may be uploaded to a cloud server via a wireless network (such as Wi-Fi, 4G, BT or ZigBee network) such that relevant staff can be informed in time and then inspection, repair and the like can be carried out.
  • a wireless network such as Wi-Fi, 4G, BT or ZigBee network
  • the present invention further provides a storage for storing instructions, wherein the instructions, when being executed, to implement the method for detecting a fault of a HVAC system according to the present invention, so as to present advantages of the invention over prior arts as mentioned above.

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Signal Processing (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Air Conditioning Control Device (AREA)
US17/058,411 2018-07-09 2019-07-02 Method and system for detecting a failure in hvac system, and memorizer Pending US20210199325A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN201810744283.9 2018-07-09
CN201810744283.9A CN110701727B (zh) 2018-07-09 2018-07-09 用于检测hvac系统中故障的方法和系统以及存储器
PCT/US2019/040217 WO2020014033A1 (en) 2018-07-09 2019-07-02 Method and system for detecting a failure in hvac system, and memorizer

Publications (1)

Publication Number Publication Date
US20210199325A1 true US20210199325A1 (en) 2021-07-01

Family

ID=67439422

Family Applications (1)

Application Number Title Priority Date Filing Date
US17/058,411 Pending US20210199325A1 (en) 2018-07-09 2019-07-02 Method and system for detecting a failure in hvac system, and memorizer

Country Status (4)

Country Link
US (1) US20210199325A1 (zh)
EP (1) EP3821176B1 (zh)
CN (1) CN110701727B (zh)
WO (1) WO2020014033A1 (zh)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110153090A1 (en) * 2009-12-22 2011-06-23 General Electric Company Energy management of hvac system
CN103090504A (zh) * 2011-11-04 2013-05-08 珠海格力电器股份有限公司 空调器及其检测方法和装置
US20190128554A1 (en) * 2017-11-02 2019-05-02 Emerson Climate Technologies, Inc. System And Method Of Adjusting Compressor Modulation Range Based On Balance Point Detection Of The Conditioned Space

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS56124848A (en) * 1980-03-05 1981-09-30 Mitsubishi Electric Corp Air conditioner
CN100501720C (zh) * 2004-01-20 2009-06-17 开利公司 供暖、通风与空调系统的故障模式
US11828678B2 (en) * 2010-03-15 2023-11-28 Klatu Networks, Inc. Managing the effectiveness of repairs in refrigeration assets
CN104272034B (zh) * 2012-02-28 2017-05-24 艾默生电气公司 Hvac系统远程监视和诊断
JPWO2014064792A1 (ja) * 2012-10-25 2016-09-05 三菱電機株式会社 監視システム
CN103486695B (zh) * 2013-09-29 2015-12-09 宜春市脉恩多能科技有限公司 一种基于理论模型的空调器故障诊断方法
KR102336642B1 (ko) * 2014-08-21 2021-12-07 삼성전자 주식회사 온도 조절 방법 및 장치
CN105485856B (zh) * 2015-12-31 2019-04-02 广东美的制冷设备有限公司 空调系统及空调系统制热状态下的异常检测方法
CN106150999B (zh) * 2016-07-04 2018-02-16 珠海格力电器股份有限公司 压缩机过载保护检测、控制的方法及装置
CN107975907A (zh) * 2017-07-14 2018-05-01 深圳达实智能股份有限公司 医院预冷空调箱自诊方法、装置、计算机装置及存储介质
CN107621059A (zh) * 2017-07-14 2018-01-23 深圳达实智能股份有限公司 医院组合式风柜故障自动诊断装置、系统和方法
CN107575996A (zh) * 2017-09-14 2018-01-12 深圳达实智能股份有限公司 医院机房空调机组自检方法及装置

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110153090A1 (en) * 2009-12-22 2011-06-23 General Electric Company Energy management of hvac system
CN103090504A (zh) * 2011-11-04 2013-05-08 珠海格力电器股份有限公司 空调器及其检测方法和装置
US20190128554A1 (en) * 2017-11-02 2019-05-02 Emerson Climate Technologies, Inc. System And Method Of Adjusting Compressor Modulation Range Based On Balance Point Detection Of The Conditioned Space

Also Published As

Publication number Publication date
EP3821176A1 (en) 2021-05-19
CN110701727A (zh) 2020-01-17
WO2020014033A1 (en) 2020-01-16
CN110701727B (zh) 2023-03-17
EP3821176B1 (en) 2024-05-08

Similar Documents

Publication Publication Date Title
US7729882B2 (en) Method and system for assessing performance of control systems
EP2499435B1 (en) Refrigerant leak detection system and method
US7031880B1 (en) Method and apparatus for assessing performance of an environmental control system
US20200386430A1 (en) Method and system for proactively and remotely diagnosing an hvac system
Yuill et al. Evaluating the performance of fault detection and diagnostics protocols applied to air-cooled unitary air-conditioning equipment
US20130197698A1 (en) HVAC System Fault Root Cause Self-Determination
CN105509241B (zh) 判断冷凝器管中感温包是否脱落的方法、装置及空调器
Zhao et al. Decoupling features for fault detection and diagnosis on centrifugal chillers (1486-RP)
CN111425989B (zh) 管路连接异常检测方法、装置及多联机空调器
JP2012047364A (ja) 冷凍サイクル装置
JP6862130B2 (ja) 異常検知装置、異常検知方法、およびプログラム
US12000604B2 (en) Failure diagnosis system configured to diagnose a state of an air-conditioning apparatus having a refrigerant circuit
JP2020008204A (ja) センサ状態判定装置、センサ状態判定方法およびプログラム
WO2018055808A1 (ja) センサ診断装置、センサ診断方法、およびプログラム
EP3477409A1 (en) A computer implemented method, a computer program, and an apparatus for the diagnosis of anomalies in a refrigeration system
US20150362408A1 (en) Control optimization for energy consuming systems
EP3821176B1 (en) Method and system for detecting a failure in hvac system
CN115111703B (zh) 用于水冷空调脏堵检测的方法、终端及存储介质
US11906185B2 (en) State analyzer system and state analysis device
CN115307669B (zh) 用于检测被测系统的异常传感器的方法、设备和介质
CN114838968B (zh) 一种基于冷水水冷测试的空调故障检测方法及系统
JP5350684B2 (ja) 冷凍サイクル機器に用いられる故障診断装置
JP2020128856A (ja) 予兆検出装置、予兆検出方法、予兆検出プログラムおよび予兆検出システム
WO2011155519A1 (ja) エネルギー管理装置
JP2010025474A (ja) 冷凍サイクル機器に用いられる故障診断装置

Legal Events

Date Code Title Description
AS Assignment

Owner name: UNITED TECHNOLOGIES RESEARCH CENTER (CHINA) LTD., CHINA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:WU, XINYU;LI, SHENG;REEL/FRAME:054465/0990

Effective date: 20181103

Owner name: UNITED TECHNOLOGIES CORPORATION, CONNECTICUT

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:UNITED TECHNOLOGIES RESEARCH CENTER (CHINA) LTD.;REEL/FRAME:054466/0070

Effective date: 20190507

Owner name: CARRIER CORPORATION, FLORIDA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:UNITED TECHNOLOGIES CORPORATION;REEL/FRAME:054466/0594

Effective date: 20190512

STPP Information on status: patent application and granting procedure in general

Free format text: APPLICATION DISPATCHED FROM PREEXAM, NOT YET DOCKETED

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: ADVISORY ACTION MAILED