CN115143596B - Method for providing performance debugging direction for air conditioner research and development personnel - Google Patents

Method for providing performance debugging direction for air conditioner research and development personnel Download PDF

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CN115143596B
CN115143596B CN202210763659.7A CN202210763659A CN115143596B CN 115143596 B CN115143596 B CN 115143596B CN 202210763659 A CN202210763659 A CN 202210763659A CN 115143596 B CN115143596 B CN 115143596B
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data
air conditioner
module
complete machine
debugging
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CN115143596A (en
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王国冻
韩海斌
高洪涛
陈华英
石磊
陶定富
朱春琳
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Skyworth Air Conditioning Technology Anhui Co ltd
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Skyworth Air Conditioning Technology Anhui Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/49Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/89Arrangement or mounting of control or safety devices

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses a method for providing a performance debugging direction for air conditioner research and development personnel, which comprises the following steps: the data acquisition module is used for recording the data of each part of the air conditioner to form sub-module data: the debugging data storage module is used for storing the submodule data and the historical complete machine air conditioner parameter data and classifying and sequencing the data: and the analysis feedback module is used for calling the submodule data to replace and select the corresponding submodule in the historical complete machine air conditioner parameter data, and establishing a fitting analysis model to compare the data. According to the method for providing the performance debugging direction for the air conditioner research and development personnel, the fitting analysis model is automatically built by the system through data input, so that the debugged relevant data can be more intuitively obtained, and the air conditioner research and development personnel can continuously implement the performance debugging of the air conditioner.

Description

Method for providing performance debugging direction for air conditioner research and development personnel
Technical Field
The invention relates to the technical field of debugging systems, in particular to a method for providing performance debugging directions for air conditioner research and development personnel.
Background
At present, when the performance of research personnel is debugged, more working experience of the research personnel is used as a benchmark, and various system parameters are referred to for debugging judgment.
The working experience of each person is different, and the debugging standard, efficiency and result are different. And for new people, experience is insufficient, and performance debugging is difficult to perform without standard.
Disclosure of Invention
The invention aims to provide a method for providing performance debugging directions for air conditioner research and development personnel,
In order to achieve the above object, the present invention provides the following technical solutions: a method for providing performance tuning directions for air conditioner developers, comprising:
the data acquisition module is used for recording the data of each part of the air conditioner to form sub-module data:
The debugging data storage module is used for storing the submodule data and the historical complete machine air conditioner parameter data and classifying and sequencing the data:
and the analysis feedback module is used for calling the submodule data to replace and select the corresponding submodule in the historical complete machine air conditioner parameter data, and establishing a fitting analysis model to compare the data.
Preferably, each part of the air conditioner comprises inner machine configuration data, outer machine configuration data, throttling parameter data, experimental working condition data, connecting pipe specification data, refrigerant type data and weight data:
preferably, the historical complete machine air conditioner parameter data mainly comprises:
1) Complete machine parameters of the existing air conditioner:
2) And comparing the generated complete machine parameters of the air conditioner by the analysis feedback module:
Preferably, the fitting analysis model selects each classification component in the submodule data as an air conditioner and compares the classification component with the historical complete machine air conditioner parameter data.
Preferably, the debugging method is as follows:
s001, selecting historical complete machine air conditioner parameter data:
S002, selecting a plurality of sub-module data required:
S003, inputting the selected data in the S001 and S002 steps into the analysis feedback module for analog analysis:
wherein, the aggregate of the sub-module data is Z, A is the aggregate of the historical complete machine air conditioner parameter data, and the specific steps are as follows:
Z is more than or equal to A, the comparison data is displayed and stored in the debug data storage module:
Z is less than A, no data can be referred, the research personnel need to independently debug, and the debugging result and the current system configuration information are recorded and stored in the debugging data storage module.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for providing performance tuning directions for air conditioner developers described in the above scheme when executing the program.
A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method for providing performance tuning directions for air conditioner developers described in the above-mentioned scheme.
In the technical scheme, the method for providing the performance debugging direction for the air conditioner research personnel has the following beneficial effects: through data input, the system automatically establishes a fitting analysis model, so that the relevant data for debugging can be obtained more intuitively, and the continuous implementation of air conditioner research and development personnel on the performance debugging of the air conditioner is greatly facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic block diagram of a module structure according to an embodiment of the present invention:
fig. 2 is a schematic flow structure provided in an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1-2, a method for providing performance tuning directions for air conditioner developers includes:
the data acquisition module is used for recording the data of each part of the air conditioner to form sub-module data:
The debugging data storage module is used for storing the data of the sub-module and the data of the historical complete machine air conditioner parameters and classifying and sequencing the data:
And the analysis feedback module is used for calling the data of the submodule to replace the corresponding submodule in the selected historical complete machine air conditioner parameter data, and establishing a fitting analysis model to compare the data.
In the specific above embodiment, each part of the air conditioner includes inner machine configuration data, outer machine configuration data, throttle parameter data, experiment condition data, connection pipe specification data, refrigerant type data and weight data:
furthermore, the historical complete machine air conditioner parameter data mainly comprises:
1) Complete machine parameters of the existing air conditioner:
2) And comparing the generated complete machine parameters of the air conditioner by an analysis feedback module:
Furthermore, the fitting analysis model is used for selecting each classification component in the submodule data to form an air conditioner and comparing the air conditioner with the historical complete machine air conditioner parameter data.
In the embodiment, through data input, the system automatically establishes the fitting analysis model, so that the debugged related data is more intuitively obtained, and the continuous implementation of air conditioner research and development personnel on the performance debugging of the air conditioner is greatly facilitated.
Example 2
The method for providing the performance debugging direction for the air conditioner research and development personnel is as follows:
s001, selecting historical complete machine air conditioner parameter data:
S002, selecting a plurality of sub-module data:
s003, S001 and S002 steps select data to be input into an analysis feedback module for analog quantity analysis:
Wherein, the collection of the data of the plurality of sub-modules is Z, A is the collection of the parameter data of the air conditioner of the history complete machine, and the specific steps are as follows:
Z is more than or equal to A, the comparison data is displayed and stored in the debug data storage module:
z is less than A, no data can be referred, the research personnel need to independently debug, and the debugging result and the current system configuration information are recorded and stored in the debugging data storage module.
In summary, the foregoing embodiments are provided to facilitate performance debugging for subsequent developers, and the technical purpose of the present invention is illustrated by the following practical operation embodiments.
Example 3
It is now necessary to develop a fixed-frequency single-cooling air conditioner, the refrigerating capacity is more than 2600W, and the energy efficiency is more than 3.1. And (3) carrying out refined carding on the whole configuration by the research and development personnel at the debug data cloud storage module, and carrying out parameter input. The specific detailed parameters are as follows: ① Indoor unit parameter part: the length of the inner machine is 820mm, the expansion tube height of the evaporator is 730 mm, the outer diameter of the U-shaped tube is phi 5, double rows of fins and 15U-shaped tubes are arranged, and the inner motor is SGN20J-PG. ② Outdoor unit parameter part: the length of the external motor is 760mm, the height of the condenser expansion tube is 840mm, phi 7mmU tubes, 14U-shaped tubes, the displacement of the compressor is 13.2mm3/rev, and the model of the external motor is SGW35X: ③ Throttle parameters: capillary tube, temperature before throttling is 39 ℃, temperature after throttling is 11 ℃: ④ Test condition part: rated refrigeration condition required by national standard, outer 35/24 ℃, inner 27/19℃: ⑤ Connecting pipe part: trachea is phi 9.52mm 5m, and liquid tube is phi 6mm 5m: ⑥ Type and weight of refrigerant: R410A refrigerant, 850g.
The research personnel inputs the relevant configuration information of the current system to be debugged, data are transmitted to a data receiving module, the data and the data from a cloud storage module enter a fitting analysis module at the same time to analyze relevant data of the system, then enter a system configuration similarity judging module to calculate that the similarity of the whole system is Z (90%) and is greater than A (75%), and the existing debugging data and relevant configuration information in the cloud storage module are output to a debugging reference result end, wherein the method comprises the following steps of: ① Indoor unit parameter part: the length of the inner machine is 810mm, the expansion tube height of the evaporator is 705mm, the outer diameter of the U-shaped tube is phi 5, double rows of fins and 15U-shaped tubes are arranged, and the inner motor is SGN20J-PG. ② Outdoor unit parameter part: the length of the external machine is 750mm, the height of the condenser expansion tube is 835mm, phi 7mmU tubes, 13U-shaped tubes are arranged, the displacement of the compressor is 14.6mm3/rev, and the model of the external machine is SGW35X: ③ Throttle parameters: capillary tube, pre-throttling temperature 38 ℃, post-throttling temperature 9 ℃, and throttle capillary tube specification 2.6 x 1.37 x 850: ④ Test condition part: rated refrigeration condition required by national standard, outer 35/24 ℃, inner 27/19℃: ⑤ Connecting pipe part: trachea is phi 9.52mm 5m, and liquid tube is phi 6mm 5m: ⑥ Type and weight of refrigerant: R410A refrigerant, 875g. And the measured capacity is 2678W, and the energy efficiency is 3.07, which is relatively close to the target capacity 2600W and the target energy efficiency 3.1. The matching state and parameters of the system are directly displayed to the research personnel, and the research personnel can debug and reference the parameters. On the basis of the reference configuration and test data, the research and development personnel analyze the relatively target capacity and energy efficiency, the configuration and performance debugging data is closest to the target value, fine adjustment is carried out in the state, the actual measurement capacity is 2615W, the actual measurement energy efficiency is 3.12 by adjusting the capillary specification to 2.6x1.37x800, and the debugging target is achieved. The process greatly simplifies the research and development work for debugging the relevant performance and improves the working efficiency.
Example 4
It is now necessary to develop a variable frequency heat pump air conditioner, the refrigerating capacity is more than 5200W, and the energy efficiency is more than 2.9: heating capacity is required to be larger than 5600W, and energy efficiency is required to be larger than 3.15. And (3) carrying out refined carding on the whole configuration by the research and development personnel at the debug data cloud storage module, and carrying out parameter input. The specific detailed parameters are as follows: ① Indoor unit parameter part: the length of the inner machine is 950mm, the expansion tube height of the evaporator is 8655mm, the outer diameter of the U-shaped tube is phi 7, the double rows of fins and 18U-shaped tubes are arranged, and the inner motor is SGN25W-PG. ② Outdoor unit parameter part: the length of the external machine is 835mm, the height of the condenser expansion tube is 927mm, the outer diameter of the U-shaped tube is phi 8, the displacement of the compressor is 13.2mm3/rev, and the model of the external machine is SGW35X: ③ Throttle parameters: the electronic expansion valve has a temperature of 39 ℃ before refrigeration and throttling and a temperature of 11 ℃ after throttling: the temperature before heating and throttling is 29 ℃, and the temperature after throttling is 3 ℃ ④ part of the test working condition: rated refrigeration condition required by national standard, outer 35/24 ℃, inner 27/19℃: rated heating working condition, 7/6 ℃ outside and ⑤ ℃ inside, connecting pipe part at 20/15 ℃: the trachea is phi 12.7mm 4m, and the liquid tube is phi 6mm 4m: ⑥ Type and weight of refrigerant: r32 refrigerant, 1050g.
The research personnel inputs the relevant configuration information of the system to be debugged at present, data are transmitted to the data receiving module, the data and the data from the cloud storage module enter the fitting analysis module at the same time to analyze the relevant data of the system, then enter the system configuration similarity judging module to calculate that the similarity of the whole system is Z (40%) which is smaller than A (75%), and the system is judged to be free of usable reference configuration and debugging data. Under the condition of no reference debugging data, the research personnel continue debugging according to experience until reaching the target capacity and energy efficiency. Recording the final debugging result and specific detailed parameters, entering a data acquisition module, uploading the data acquisition module to a debugging data cloud storage end as reference configuration, and facilitating subsequent research personnel to continue performance debugging
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention: meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
The embodiment of the application also provides a specific implementation mode of the electronic equipment capable of realizing all the steps in the method in the embodiment, and the electronic equipment specifically comprises the following contents:
a processor (processor), a memory (memory), a communication interface (Communications Interface), and a bus:
The processor, the memory and the communication interface complete communication with each other through the bus:
the processor is configured to invoke the computer program in the memory, and when the processor executes the computer program, the processor implements all the steps in the method in the above embodiment.
The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments, the computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements all the steps of the method in the above embodiments.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a hardware+program class embodiment, the description is relatively simple, as it is substantially similar to the method embodiment, as relevant see the partial description of the method embodiment. Although the present description provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in an actual device or end product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment) as illustrated by the embodiments or by the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element. For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, when implementing the embodiments of the present disclosure, the functions of each module may be implemented in the same or multiple pieces of software and/or hardware, or a module that implements the same function may be implemented by multiple sub-modules or a combination of sub-units, or the like. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description embodiments may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein. In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments. In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the present specification.
In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction. The foregoing is merely an example of an embodiment of the present disclosure and is not intended to limit the embodiment of the present disclosure. Various modifications and variations of the illustrative embodiments will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of the embodiments of the present specification, should be included in the scope of the claims of the embodiments of the present specification.

Claims (6)

1. A method for providing performance tuning directions for air conditioner developers, comprising:
the data acquisition module is used for recording the data of each part of the air conditioner to form sub-module data;
The debugging data storage module is used for storing the submodule data and the historical complete machine air conditioning parameter data and classifying and sequencing the submodule data and the historical complete machine air conditioning parameter data;
The analysis feedback module is used for calling the submodule data to replace and select a corresponding submodule in the historical complete machine air conditioner parameter data, and a fitting analysis model is established to compare the data;
the method for providing the performance debugging direction for the air conditioner research personnel comprises the following steps:
step S001: selecting historical complete machine air conditioner parameter data;
Step S002: selecting a plurality of sub-module data;
step S003, inputting the selected data in the step S001 and the step S002 into the analysis feedback module for analog analysis;
wherein, the aggregate of the sub-module data is Z, A is the aggregate of the historical complete machine air conditioner parameter data, and the specific steps are as follows:
When the data item of Z is greater than or equal to the data item of A, the data in Z is stored with the sub-module data with the matched A record data, the comparison data is displayed and stored in the debugging data storage module, and the sub-module data is integrated into one item of the integrated A of Z as the historical complete machine air conditioning parameter data;
when the data item of Z is smaller than the data item of A, if the data in Z does not have the sub-module data matched with the recorded data of A, no data can be referred, and research personnel need to independently debug, and the debugging result and the current system configuration information are recorded and stored in the debugging data storage module.
2. The method of claim 1, wherein the data of each component of the air conditioner comprises configuration data of an internal unit, configuration data of an external unit, throttle parameter data, experimental condition data, specification data of a connecting pipe, refrigerant type data and weight data.
3. The method for providing performance tuning directions for air conditioner developers according to claim 1, wherein the historical complete machine air conditioner parameter data mainly comprises:
1) The overall parameters of the existing air conditioner;
2) And comparing the generated parameters of the whole air conditioner by the analysis feedback module.
4. The method for providing performance tuning directions for air conditioner developers according to claim 1, wherein the fitting analysis model is used for selecting individual classification components in the sub-module data as air conditioners and comparing the classification components with the historical complete machine air conditioner parameter data.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for providing performance tuning directions for air conditioner developers according to any one of claims 1-4 when executing the computer program.
6. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the method of any of claims 1-4 for providing performance tuning directions for air conditioner developers.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205015162U (en) * 2015-08-27 2016-02-03 郑州日产汽车有限公司 Electric automobile carries testing system in whole car simulation area
CN106123243A (en) * 2016-07-27 2016-11-16 长沙海赛电装科技股份有限公司 Air-conditioning device refrigeration capacity test method based on multidimensional curve fitting algorithm
CN108180599A (en) * 2018-01-22 2018-06-19 珠海格力电器股份有限公司 Debugging method, debugging device and computer readable storage medium
CN109670273A (en) * 2019-01-31 2019-04-23 山东通盛制冷设备有限公司 A kind of coach air conditioner Performance Match method
DE102017127137A1 (en) * 2017-11-17 2019-05-23 Institut Für Luft- Und Kältetechnik Gemeinnützige Gmbh Commissioning device and method for air conditioning systems
CN110543932A (en) * 2019-08-12 2019-12-06 珠海格力电器股份有限公司 air conditioner performance prediction method and device based on neural network
CN113639418A (en) * 2020-04-27 2021-11-12 南通华信中央空调有限公司 Air conditioner debugging method, air conditioner debugging device and related equipment
CN113654182A (en) * 2021-08-30 2021-11-16 海信(广东)空调有限公司 Method for detecting refrigerant leakage, computer readable storage medium and air conditioner
CN113757922A (en) * 2020-06-03 2021-12-07 ***通信集团浙江有限公司 Deep learning-based air conditioning system energy-saving control method, device and equipment and computer medium
DE102020126617A1 (en) * 2020-10-10 2022-04-14 Quirin Hamp Method and device for data processing for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system for a time/location-resolved mode of operation, as well as a computer program product and use

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2554841A (en) * 2015-07-02 2018-04-11 Buildpulse Inc Advanced identification and classification of sensors and other points in a building automation system
US11237546B2 (en) * 2016-06-15 2022-02-01 Strong Force loT Portfolio 2016, LLC Method and system of modifying a data collection trajectory for vehicles
US20180109906A1 (en) * 2016-10-13 2018-04-19 Johnson Controls Technology Company Systems and methods for integrated applications of hvac systems
US10907853B2 (en) * 2016-11-11 2021-02-02 Johnson Controls Technology Company Systems and methods for providing custom applications for HVAC systems
US11347213B2 (en) * 2018-06-22 2022-05-31 Siemens Industry, Inc. Deep-learning-based fault detection in building automation systems
WO2020107851A1 (en) * 2018-11-29 2020-06-04 天津大学 Low-cost commissioning method and system for air conditioning system based on existing large-scale public building

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205015162U (en) * 2015-08-27 2016-02-03 郑州日产汽车有限公司 Electric automobile carries testing system in whole car simulation area
CN106123243A (en) * 2016-07-27 2016-11-16 长沙海赛电装科技股份有限公司 Air-conditioning device refrigeration capacity test method based on multidimensional curve fitting algorithm
DE102017127137A1 (en) * 2017-11-17 2019-05-23 Institut Für Luft- Und Kältetechnik Gemeinnützige Gmbh Commissioning device and method for air conditioning systems
CN108180599A (en) * 2018-01-22 2018-06-19 珠海格力电器股份有限公司 Debugging method, debugging device and computer readable storage medium
CN109670273A (en) * 2019-01-31 2019-04-23 山东通盛制冷设备有限公司 A kind of coach air conditioner Performance Match method
CN110543932A (en) * 2019-08-12 2019-12-06 珠海格力电器股份有限公司 air conditioner performance prediction method and device based on neural network
CN113639418A (en) * 2020-04-27 2021-11-12 南通华信中央空调有限公司 Air conditioner debugging method, air conditioner debugging device and related equipment
CN113757922A (en) * 2020-06-03 2021-12-07 ***通信集团浙江有限公司 Deep learning-based air conditioning system energy-saving control method, device and equipment and computer medium
DE102020126617A1 (en) * 2020-10-10 2022-04-14 Quirin Hamp Method and device for data processing for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system for a time/location-resolved mode of operation, as well as a computer program product and use
CN113654182A (en) * 2021-08-30 2021-11-16 海信(广东)空调有限公司 Method for detecting refrigerant leakage, computer readable storage medium and air conditioner

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