CN115143596A - Method for providing performance debugging direction for air conditioner research personnel - Google Patents
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- 238000004590 computer program Methods 0.000 claims description 21
- 239000003507 refrigerant Substances 0.000 claims description 9
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- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 239000007788 liquid Substances 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000009960 carding Methods 0.000 description 2
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- 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
- F24F11/49—Control 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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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Abstract
The invention discloses a method for providing performance debugging directions for air conditioner research personnel, which comprises the following steps: the data acquisition module is used for recording data of each part of the air conditioner to form sub-module data: the debugging data storage module is used for storing the sub-module data and historical complete machine air conditioner parameter data, and classifying and sequencing the data: and the analysis feedback module is used for calling the sub-module data to replace and select the corresponding sub-module in the historical integral 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 personnel, the system automatically establishes the fitting analysis model through data input, so that the relevant debugging data can be acquired more intuitively, and the air conditioner research personnel can continuously debug the performance of the air conditioner conveniently.
Description
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 personnel.
Background
At present, when a research and development worker carries out performance debugging, the research and development worker relies on the working experience of the research and development worker for many years as a reference and carries out debugging judgment by referring to various system parameters.
The working experience of each person is different, and the debugging reference, efficiency and result are different. And for new people, the experience is insufficient, no reference can be said, and the difficulty in performance debugging work is high.
Disclosure of Invention
The invention aims to provide a method for providing performance debugging directions for air conditioner research personnel,
in order to achieve the above purpose, the invention provides the following technical scheme: a method for providing performance debugging directions for air conditioner research personnel comprises the following steps:
the data acquisition module is used for recording data of each part of the air conditioner to form sub-module data:
the debugging data storage module is used for storing the sub-module data and historical complete machine air conditioner parameter data, and classifying and sequencing the data:
and the analysis feedback module is used for calling the sub-module data to replace and select the corresponding sub-module in the historical integral air conditioner parameter data, and establishing a fitting analysis model to compare the data.
Preferably, each part of the air conditioner comprises internal unit configuration data, external unit 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 includes:
1) And the current air conditioner complete machine parameters are as follows:
2) Comparing the generated air conditioner complete machine parameters by the analysis feedback module:
preferably, the fitting analysis model is used for selecting air conditioners formed by classifying the sub-module data and comparing the air conditioners with 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:
and S003, S001 and S002, inputting the selected data into the analysis feedback module for analog quantity analysis:
the method comprises the following steps of A, obtaining a plurality of sub-module data, wherein the set of the sub-module data is Z, A is the set of historical complete machine air conditioner parameter data, and the specific steps are as follows:
and when Z is more than or equal to A, displaying the comparison data and storing the comparison data in the debugging data storage module:
if Z is less than A, no reference data exists, research personnel need to independently debug, and a debugging result and current system configuration information are recorded and stored in the debugging data storage module.
An electronic device comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the method for providing the performance debugging direction for the air conditioner research personnel in the scheme.
A computer-readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for providing performance debugging directions to air conditioner developers as described in the above scenario.
In the technical scheme, the method for providing the performance debugging direction for the air conditioner research personnel provided by the invention has the following beneficial effects: through data input, the system automatically establishes a fitting analysis model, so that debugging related data can be acquired more visually, and the air conditioner performance debugging is greatly facilitated for continuous implementation of air conditioner research personnel.
Drawings
In order to more clearly illustrate the embodiments of the present application or technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic structural diagram of a module provided in an embodiment of the present invention:
fig. 2 is a schematic view of a flow structure provided in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1-2, a method for providing performance debugging directions to developers of air conditioners includes:
the data acquisition module is used for recording data of each part of the air conditioner to form sub-module data:
the debugging data storage module is used for storing the sub-module 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 sub-module data to replace the corresponding sub-module in the selected historical air conditioner parameter data of the whole machine, and establishing a fitting analysis model to compare the data.
Specifically, in the above embodiments, each part of the air conditioner includes internal unit configuration data, external unit configuration data, throttling parameter data, experimental condition data, connection pipe specification data, refrigerant type data, and weight data:
furthermore, the historical air conditioning parameter data of the whole machine mainly comprises:
1) The current parameters of the air conditioner are as follows:
2) Comparing the generated air conditioner complete machine parameters by the analysis feedback module:
further, the fitting analysis model selects sub-module data, each of which is classified into an air conditioner, and compares the sub-module data with historical air conditioner parameter data of the whole machine.
In the embodiment, the fitting analysis model is automatically established by the system through data input, so that debugging related data can be acquired more intuitively, and the air conditioner performance debugging is performed continuously by air conditioner research personnel conveniently.
Example 2
The method for providing performance debugging directions for air conditioner research personnel comprises the following steps:
s001, selecting historical air conditioner parameter data of the whole machine:
s002, selecting data needing multiple sub-modules:
and S003, S001 and S002, selecting a data input analysis feedback module to perform analog quantity analysis:
the method comprises the following steps of A, obtaining a plurality of sub-module data, wherein the collection of the plurality of sub-module data is Z, A is the collection of historical complete machine air conditioner parameter data, and the specific steps are as follows:
and if Z is larger than or equal to A, displaying the comparison data and storing the comparison data in a debugging data storage module:
if Z is less than A, no reference data exists, research personnel need to independently debug, and the debugging result and the current system configuration information are recorded and stored in a debugging data storage module.
In summary, the foregoing embodiments facilitate subsequent research and development personnel to continue performance debugging, and the technical object of the present invention is illustrated by the following practical operation embodiments.
Example 3
The constant-frequency single-cooling air conditioner needs to be developed, the refrigerating capacity is required to be larger than 2600W, and the energy efficiency is required to be larger than 3.1. And carrying out refinement and carding on the configuration of the whole machine by research personnel at the debugging data cloud storage module, and inputting parameters. The specific detailed parameters are as follows: (1) the indoor machine parameter part: the length of an inner machine is 820mm, the height of an expansion pipe of an evaporator is 735mm, the outer diameter of a U-shaped pipe is phi 5, double rows of fins and 15U-shaped pipes are arranged, and the inner motor is SGN20J-PG. (2) The outdoor unit parameter part: the length of an external machine is 760mm, the height of an expansion pipe of the condenser is 840mm, phi 7 mmU-shaped pipes and 14U-shaped pipes are arranged, the displacement of the compressor is 13.2mm3/rev, and the model of the external motor is SGW35X: (3) and (3) throttling parameters: capillary, the temperature before throttling is 39 ℃, and the temperature after throttling is 11 ℃: (4) test conditions part: rated refrigeration working condition required by national standard, 35/24 ℃ outside and 27/19 ℃ inside: (5) connecting the pipe sections: the gas pipe is phi 9.52mm, 5m, the liquid pipe is phi 6mm, 5m: (6) refrigerant type and weight: 850g of R410A refrigerant.
Research personnel input the related configuration information of the current system needing to be debugged, 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, the related data of the system are analyzed, then the data enter the system configuration similarity judgment module, the similarity of the whole system is calculated to be Z (90%) which is larger than A (75%), and then the existing debugging data and the related configuration information in the cloud storage module are output to a debugging reference result end, and the method specifically comprises the following steps: (1) the indoor machine parameter part: the length of an inner machine is 810mm, the height of an evaporator expanding tube is 705mm, the outer diameter of a U-shaped tube is phi 5, double rows of fins and 15U-shaped tubes are arranged, and an inner motor is SGN20J-PG. (2) The outdoor unit parameter part: the length of an external machine is 750mm, the height of an expansion pipe of the condenser is 835mm, phi 7mm U-shaped pipes and 13U-shaped pipes, the discharge capacity of a compressor is 14.6mm3/rev, and the model of the external motor is SGW35X: (3) and (3) throttling parameters: capillary, pre-throttling temperature of 38 ℃, post-throttling temperature of 9 ℃, and throttling capillary specification of 2.6 x 1.37 x 850: (4) test conditions part: rated refrigeration working condition required by national standard, 35/24 ℃ outside and 27/19 ℃ inside: (5) connecting the pipe sections: the gas tube is phi 9.52mm x 5m, the liquid tube is phi 6mm x 5m: (6) refrigerant type and weight: R410A refrigerant 875g. The actual measurement capacity is 2678W, and the energy efficiency is 3.07, which is closer to the target capacity 2600W and the target energy efficiency 3.1. And directly displaying the system matching state and the parameters to research and development personnel, wherein the parameters are used for debugging reference of the research and development personnel. On the basis of the reference configuration and test data, a research and development staff analyzes target capability and energy efficiency, the configuration and performance debugging data is closest to a target value, fine adjustment is carried out in the state, and the debugging target is achieved by adjusting the capillary specification to be 2.6 × 1.37 × 800, the actual measurement capability to be 2615W and the actual measurement energy efficiency to be 3.12. The process greatly simplifies the work of researching and developing to carry out related performance debugging and improves the working efficiency.
Example 4
The existing needs to develop a variable frequency heat pump air conditioner, the refrigeration capacity needs to be larger than 5200W, and the energy efficiency needs to be larger than 2.9: the heating capacity needs to be more than 5600W, and the energy efficiency needs to be more than 3.15. And carrying out refinement and carding on the configuration of the whole machine by research personnel at the debugging data cloud storage module, and inputting parameters. The specific detailed parameters are as follows: (1) the indoor machine parameter part: the length of an internal machine is 950mm, the height of an expansion pipe of the evaporator is 8655mm, the outer diameter of a U-shaped pipe is phi 7, double rows of fins and 18U-shaped pipes are arranged, and the internal motor is SGN25W-PG. (2) An outdoor unit parameter part: the length of an external machine is 835mm, the height of an expansion pipe of the condenser is 927mm, the outer diameter of a U-shaped pipe is phi 8, the discharge capacity of a compressor is 13.2mm3/rev, and the model of the external motor is SGW35X: (3) and (3) throttling parameters: the temperature of the electronic expansion valve before refrigeration and throttling is 39 ℃, and the temperature after throttling is 11 ℃: the temperature before heating throttling is 29 ℃, and the temperature after throttling is 3 ℃ (4) test working condition part: rated refrigeration working condition required by national standard, 35/24 ℃ outside and 27/19 ℃ inside: rated heating condition, external 7/6 ℃, internal 20/15 ℃ (5) connecting pipe part: the air pipe is phi 12.7mm 4m, the liquid pipe is phi 6mm 4m: (6) refrigerant type and weight: 1050g of R32 refrigerant.
Research personnel input the related configuration information of the system needing to be debugged currently, 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, the related data of the system are analyzed, then the data enter the system configuration similarity judgment module, the similarity of the whole system is calculated to be Z (40%) which is less than A (75%), and no available reference configuration and debugging data are judged. And (4) continuously debugging the target by research personnel according to experience under the condition of not referring to debugging data until the target capacity and energy efficiency are achieved. And recording the final debugging result and specific detailed parameters, entering a data acquisition module, uploading to a cloud storage end of the debugging data to be used as reference configuration, and facilitating subsequent research and development personnel to continue performance debugging
As will be appreciated by one skilled in the art, 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 has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. <xnotran> / / , / / . </xnotran> 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 principle and the implementation of the present invention are explained by applying the specific embodiments in the present invention, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention: meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
An embodiment of the present application further provides a specific implementation manner of an electronic device, which is capable of implementing all steps in the method in the foregoing embodiment, where the electronic device specifically includes the following contents:
processor (processor), memory (memory), communication Interface (Communications Interface), and bus:
the processor, the memory and the communication interface complete mutual communication through the bus:
the processor is configured to call the computer program in the memory, and when the processor executes the computer program, the processor implements all the steps of the method in the above embodiments.
Embodiments of the present application further provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements all the steps of the method in the above embodiments.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment. Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When implemented in an actual device or end product, can be executed sequentially or in parallel according to the methods shown in the embodiments or figures (e.g., parallel processor or multi-thread processing environments, even distributed data processing environments). 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, the presence of additional identical or equivalent elements in processes, methods, articles, or apparatus that include the recited elements is not excluded. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The present invention has been 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.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the embodiments described herein may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description 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 so forth) having computer-usable program code embodied therein. All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description of the present specification, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," 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 specification.
In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction. The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and alterations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (7)
1. A method for providing performance debugging directions for air conditioner research personnel is characterized by comprising the following steps:
the data acquisition module is used for recording data of each part of the air conditioner to form sub-module data:
the debugging data storage module is used for storing the sub-module data and historical complete machine air conditioner parameter data, and classifying and sequencing the data:
and the analysis feedback module is used for calling the sub-module data to replace and select the corresponding sub-module in the historical integral air conditioner parameter data, and establishing a fitting analysis model to compare the data.
2. The method as claimed in claim 1, wherein the components of the air conditioner include configuration data of an indoor unit, configuration data of an outdoor unit, throttling parameter data, experimental condition data, specification data of a connection pipe, refrigerant type data, and weight data.
3. The system of claim 1, wherein the historical overall air conditioner parameter data mainly comprises:
1) And the current air conditioner complete machine parameters are as follows:
2) And comparing the generated air conditioner complete machine parameters by the analysis feedback module.
4. The method of claim 1, wherein the fitting analysis model is used for selecting one of the sub-module data to be classified as an air conditioner and comparing the selected sub-module data with historical overall air conditioner parameter data.
5. The method for providing performance debugging directions for air conditioner developers according to claim 1, wherein the debugging method comprises the following steps:
s001, selecting historical air conditioner parameter data of the whole machine:
s002, selecting a plurality of sub-module data:
and S003, the S001 and the S002 select data to be input into the analysis feedback module for analog quantity analysis:
the method comprises the following steps of A, obtaining a plurality of sub-module data, wherein the set of the sub-module data is Z, A is the set of historical complete machine air conditioner parameter data, and the specific steps are as follows:
and if Z is larger than or equal to A, displaying the comparison data and storing the comparison data in the debugging data storage module:
if Z is less than A, no reference data exists, research personnel need to independently debug, and a debugging result and current system configuration information are recorded and stored in the debugging data storage module.
6. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to perform the steps of the method for providing performance debugging directions to developers of air conditioners according to any one of claims 1 to 5.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for providing performance debugging directions to air conditioner developers according to any one of claims 1 to 5.
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Citations (16)
| 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 |
| US20170003668A1 (en) * | 2015-07-02 | 2017-01-05 | buildpulse, Inc. | Advanced identification and classification of sensors and other points in a building automation system |
| US20180109906A1 (en) * | 2016-10-13 | 2018-04-19 | Johnson Controls Technology Company | Systems and methods for integrated applications of hvac systems |
| US20180135877A1 (en) * | 2016-11-11 | 2018-05-17 | Johnson Controls Technology Company | Systems and methods for providing custom applications for hvac 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 |
| US20190121348A1 (en) * | 2016-06-15 | 2019-04-25 | Strong Force Iot Portfolio 2016, Llc | Method and system of modifying a data collection trajectory for vehicles |
| 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 |
| US20190391573A1 (en) * | 2018-06-22 | 2019-12-26 | Siemens Industry, Inc. | Deep-learning-based fault detection in building automation systems |
| US20210123625A1 (en) * | 2018-11-29 | 2021-04-29 | Tianjin University | Low-cost commissioning method for the air-conditioning systems in existing large public buildings |
| 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 | 中国移动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 |
-
2022
- 2022-06-29 CN CN202210763659.7A patent/CN115143596B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170003668A1 (en) * | 2015-07-02 | 2017-01-05 | buildpulse, Inc. | Advanced identification and classification of sensors and other points in a building automation system |
| 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 |
| US20190121348A1 (en) * | 2016-06-15 | 2019-04-25 | Strong Force Iot Portfolio 2016, Llc | Method and system of modifying a data collection trajectory for vehicles |
| 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 |
| US20180109906A1 (en) * | 2016-10-13 | 2018-04-19 | Johnson Controls Technology Company | Systems and methods for integrated applications of hvac systems |
| US20180135877A1 (en) * | 2016-11-11 | 2018-05-17 | Johnson Controls Technology Company | Systems and methods for providing custom applications for hvac systems |
| 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 |
| US20190391573A1 (en) * | 2018-06-22 | 2019-12-26 | Siemens Industry, Inc. | Deep-learning-based fault detection in building automation systems |
| US20210123625A1 (en) * | 2018-11-29 | 2021-04-29 | Tianjin University | Low-cost commissioning method for the air-conditioning systems in existing large public buildings |
| 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 | 中国移动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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