CN113606732B - Health degree evaluation method and device, computing equipment and storage medium - Google Patents

Health degree evaluation method and device, computing equipment and storage medium Download PDF

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CN113606732B
CN113606732B CN202110892310.9A CN202110892310A CN113606732B CN 113606732 B CN113606732 B CN 113606732B CN 202110892310 A CN202110892310 A CN 202110892310A CN 113606732 B CN113606732 B CN 113606732B
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coefficient
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parameter
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CN113606732A (en
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范波
范雨强
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Midea Group Co Ltd
GD Midea Heating and Ventilating Equipment 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
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
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    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
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    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
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Abstract

The health degree evaluation method, the health degree evaluation device, the calculation equipment and the storage medium are applicable to the technical field of air conditioners, the multi-split air-conditioning system comprises a plurality of component systems, and the health coefficient of each component system is obtained according to the operation parameters of each component system and the corresponding first weight coefficient when the multi-split air-conditioning system operates; and acquiring the health degree of the multi-split air conditioning system during operation according to the health coefficient of each component system and the corresponding second weight coefficient. According to the method and the device, the health degree can be obtained according to the operation parameters and the corresponding weight coefficients of the multiple component systems when the multi-split air-conditioning system operates, and the health degree can be used as a characterization parameter for analyzing the health state of the multi-split air-conditioning system, so that the health state of the multi-split air-conditioning system can be accurately evaluated.

Description

Health degree evaluation method and device, computing equipment and storage medium
Technical Field
The application belongs to the technical field of air conditioners, and particularly relates to a health degree assessment method and device, computing equipment and a storage medium.
Background
With the rapid development of the multi-split air conditioning system, the structure, the function and the operation environment of the multi-split air conditioning system are more and more complex, and the requirements on the production task and the economic affordability of the burden of the multi-split air conditioning system are higher and higher. The traditional method of after-the-fact maintenance and regular maintenance lacks understandability, pertinence and scientificity for maintaining and managing the health state of equipment due to the lack of timely understanding and mastering of the health state of the equipment. Therefore, exploring and researching a reliable equipment health state evaluation method has very important significance for the maintenance and management of the multi-split air conditioning system. At present, the standard for analyzing the health state of the multi-split air-conditioning system has no clear characterization parameters, and the health state of the multi-split air-conditioning system is difficult to accurately evaluate.
Disclosure of Invention
The embodiment of the application provides a health degree assessment method and device, computing equipment and a storage medium, and aims to solve the problem that at present, no clear characterization parameter exists in a health degree analysis standard of a multi-split air-conditioning system, and the health degree of the multi-split air-conditioning system is difficult to assess accurately.
A first aspect of an embodiment of the present application provides a health assessment method applied to a multi-split air conditioning system, where the multi-split air conditioning system includes a plurality of component systems, and the method includes:
when the multi-split air conditioning system runs, acquiring a health coefficient of each component system according to the running parameter of each component system and the corresponding first weight coefficient;
and acquiring the health degree of the multi-split air conditioning system during operation according to the health coefficient of each component system and the corresponding second weight coefficient.
A second aspect of an embodiment of the present application provides a health assessment apparatus applied to a multi-split air conditioning system including a plurality of component systems, the apparatus including:
the health coefficient acquisition unit is used for acquiring the health coefficient of each component system according to the operation parameter of each component system and the corresponding first weight coefficient when the multi-split air-conditioning system operates;
and the health degree acquisition unit is used for acquiring the health degree of the multi-split air-conditioning system during operation according to the health coefficient of each component system and the corresponding second weight coefficient.
A third aspect of an embodiment of the present application provides a computing device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the health assessment method according to the first aspect of the embodiment of the present application when executing the computer program.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the health assessment method according to the first aspect of the embodiments of the present application.
The health degree evaluation method provided by the first aspect of the embodiment of the application is applied to a multi-split air conditioning system, the multi-split air conditioning system comprises a plurality of component systems, and the health coefficient of each component system is obtained according to the operation parameter and the corresponding first weight coefficient of each component system when the multi-split air conditioning system operates; the health degree of the multi-split air-conditioning system during operation is obtained according to the health coefficient of each component system and the corresponding second weight coefficient, the health degree can be obtained according to the operation parameters of the multiple component systems during operation of the multi-split air-conditioning system and the corresponding weight coefficients, and the health degree can be used as a characterization parameter for analyzing the health state of the multi-split air-conditioning system, so that the health state of the multi-split air-conditioning system can be accurately evaluated.
It is to be understood that, for the beneficial effects of the second aspect to the fourth aspect, reference may be made to the relevant description in the first aspect, and details are not described herein again.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a first schematic flow chart of a health assessment method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a health assessment method according to an embodiment of the present application;
fig. 3 is a third schematic flow chart of a health assessment method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a health assessment apparatus provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computing device provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather mean "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
The embodiment of the application provides a health degree evaluation method, which is applied to a multi-split air-conditioning system, wherein the multi-split air-conditioning system comprises a plurality of component systems, the method can be executed by any computing device which can acquire the operating parameters of the component systems of the multi-split air-conditioning system and has a data processing function, and specifically, the method is executed by a processor of the computing device when a computer program with corresponding functions is operated.
In an application, the multi-split air conditioning system may be a single cooling system for cooling only. The computing device may be a multi-split air conditioning system or a device capable of wireless or wired communication with the multi-split air conditioning system, such as a (cloud) server or a computer. The (cloud) server or computer may be a computing device in an air conditioning centralized control System or a Building Management System (BMS).
In application, when the health degree evaluation method is executed by a multi-split air conditioning system, the multi-split air conditioning system may further include a memory and a processor, the electronic control system may include a power supply component, a voltage sensor, a current sensor, and the like, the compressor system may include a compressor, an exhaust pressure sensor, an exhaust temperature sensor, and the like, the heat exchanger system may include a heat exchanger, an ambient temperature sensor, and the like, and the oil circuit system may include an oil separator, an oil temperature sensor, an oil pressure sensor, and the like.
The multi-split air conditioning system described in the embodiments of the present application is not limited to the multi-split air conditioning system, and the multi-split air conditioning system may include more or less components, or some components may be combined, or different component arrangements may be adopted.
As shown in fig. 1, the health degree evaluation method provided in the embodiment of the present application includes the following steps S101 and S102:
step S101, when the multi-split air conditioning system runs, acquiring a health coefficient of each component system according to the running parameter of each component system and the corresponding first weight coefficient;
and S102, acquiring the health degree of the multi-split air conditioning system during operation according to the health coefficient of each component system and the corresponding second weight coefficient.
In application, in the process of evaluating the health degree of the multi-connected unit air conditioning system, firstly, the health coefficient of each component system is calculated according to each operating parameter of each component system and a first weight coefficient corresponding to each component system; and then further calculating to obtain the health degree of the multi-split air conditioning system during the whole operation according to the health coefficients of all the parts and second weight coefficients corresponding to the health coefficients of all the parts. By the method, the plurality of operation parameters of the plurality of component systems can be gradually fitted, and a quantized health degree is finally obtained, so that the complex data can be simplified into a single numerical value, and a user can accurately and conveniently know the health degree of the multi-split air-conditioning system according to the single numerical value. The health degree value of the multi-split air conditioning system is larger, the health state of the multi-split air conditioning system is better, otherwise, the health state of the multi-split air conditioning system is worse, and maintenance is needed.
In one embodiment, before step S101, the method includes:
receiving a health degree evaluation instruction sent by a user;
and acquiring the operating parameters of each component system when the multi-split air conditioning system operates according to the health degree evaluation instruction.
In application, when the multi-split air conditioning system runs, the computing equipment automatically acquires the operating parameters of each component system, and then performs a series of calculations based on the operating parameters and the corresponding weight coefficients to obtain the health degree. Or at any time when the user needs, the user controls the computing equipment to obtain the operating parameters of each component system, and then a series of calculations are carried out based on the operating parameters and the corresponding weight coefficients to obtain the health degree. The user can input a health degree evaluation instruction through a human-computer interaction device of the computing device according to actual needs, or the health degree evaluation instruction is sent to the computing device through user equipment which is communicated with the computing device, so that the computing device is triggered to execute a health degree evaluation method.
In application, the human-computer interaction device of the computing device may include at least one of a physical key, a touch sensor, a gesture recognition sensor, and a voice recognition unit, so that a user may input the health assessment instruction through a corresponding touch mode, a gesture control mode, or a voice control mode. The physical keys and the touch sensor may be disposed at any location of the computing device, such as a control panel of the computing device. The touch manner of the physical key may be pressing or toggling. The touch manner of the touch sensor may be pressing or touching. The gesture recognition sensor can be arranged at any position of the computing device, and the gesture used for controlling the computing device can be set by a user in a self-defined mode according to actual needs or set by default when the user leaves a factory. The speech recognition unit may include a microphone and a speech recognition chip, or may include only a microphone and be implemented by a processor of the computing device for speech recognition functions. The voice used to control the computing device may be custom set by the user as desired or factory default.
In application, the user equipment may be an electronic device such as a remote controller, a line controller, a mobile phone, an intelligent bracelet, a tablet computer, a notebook computer, a netbook, a Personal Digital Assistant (PDA), and the like, which has a wired or wireless communication function and can communicate with a computing device. The user can control the user equipment to send the health degree evaluation instruction to the computing equipment in any man-machine interaction mode supported by the user equipment. The man-machine interaction mode supported by the user equipment may be the same as that of the computing equipment, and is not described herein again.
As shown in fig. 2, in one embodiment, step S101 includes the following steps S201 and S202:
step S201, acquiring a health coefficient of the operating parameter of each component system according to the operating parameter of each component system and the corresponding parameter range;
step S202, acquiring the health coefficient of each component system according to the health coefficient of the operating parameter of each component system and the corresponding first weight coefficient.
In application, in the process of acquiring the health coefficient of each component system, the health coefficient of each operating parameter is calculated according to each operating parameter of each component system and the parameter range corresponding to each operating parameter; and then further calculating the health coefficient of each component system according to the health coefficient of each operating parameter and the first weight coefficient corresponding to the health coefficient of each operating parameter. The health coefficients of the various component systems can be used as characterization parameters for analyzing the health states of the various component systems, and the health states of the various component systems can be accurately evaluated based on the health coefficients.
In application, a first association relationship between each operation parameter of each component system and a corresponding parameter range can be established in advance, so that after each operation parameter is obtained, the parameter range corresponding to each operation parameter can be quickly obtained according to each operation parameter and the first association relationship. Similarly, a second association relationship between the health coefficient of each operating parameter of each component system and the corresponding first weight coefficient may also be established in advance, so that after the health coefficient of each operating parameter of each component system is obtained, the first weight coefficient corresponding to the health coefficient of each operating parameter can be quickly obtained according to the health coefficient and the second association relationship of each operating parameter. And a third correlation between the health coefficients of the various component systems and the corresponding second weight coefficients can be established in advance, so that the second weight coefficients corresponding to the health coefficients of the various component systems can be quickly obtained according to the health coefficients of the various component systems and the third correlation after the health coefficients of the various component systems are obtained. The first association relationship, the second association relationship, and the third association relationship may be mapping relationships, and the association relationship Table may exist in the form of an association relationship Table, specifically may be a Look-Up Table (LUT), and may also exist in the form of a Look-Up Table (LUT) which may be searched by other input data and output a corresponding search result. By establishing the association relationship in advance, the computational resources and the execution time of the processor can be effectively saved.
As shown in fig. 3, in one embodiment, step S201 includes the following steps S301 and S302:
step S301, when the j operating parameter of the ith component system in the plurality of component systems is in the corresponding parameter range, setting the health coefficient of the j operating parameter of the ith component system to be 1, i =1,2, ..., m, m represents the number of the plurality of component systems, j =1,2, ..., n, n represents the number of all operating parameters of the ith component system;
step S302, when the jth operation parameter of the ith component system is not in the corresponding parameter range, setting the health coefficient of the jth operation parameter of the ith component system to 1 minus a preset difference percentage, wherein the preset difference percentage is an increase percentage or a decrease percentage between the jth operation parameter of the ith component system and the corresponding parameter range.
In application, the method for determining the health coefficient of each operating parameter of each component system comprises the following steps: and determining whether each operating parameter is in the corresponding parameter range, if so, determining the health coefficient of the operating parameter to be 1, otherwise, determining the health coefficient of the operating parameter to be 1 minus the corresponding preset difference percentage. For each operating parameter, when the operating parameter is greater than the upper limit value of the corresponding parameter range, the preset difference percentage is an increase percentage, and the increase percentage is equal to the difference between the operating parameter and the upper limit value of the parameter range divided by the lower limit value and then multiplied by 100%, namely X1= [ (Y-Z1)/Z1 ] × 100%, wherein X1 represents the increase percentage, Y represents the operating parameter, and Z1 represents the upper limit value of the parameter range; when the operation parameter is smaller than the lower limit value of the corresponding parameter range, the preset difference percentage is a reduction percentage, and the reduction percentage is equal to the difference between the operation parameter and the lower limit value of the parameter range, divided by the lower limit value and multiplied by 100%, that is, X2= [ (Y-Z2)/Z2 ] × 100%, wherein X2 represents the reduction percentage, Y represents the operation parameter, and Z2 represents the lower limit value of the parameter range.
In one embodiment, in step S202, the expression of the health coefficient of each component system is the following expression one:
Figure GDA0003967150750000061
wherein, A i Representing the health coefficient of the ith component system of the plurality of component systems, b ij Representing a first weight coefficient, B, corresponding to a health coefficient of a jth operating parameter of an ith component system ij A health coefficient representing a jth operating parameter of an ith component system, m representing a number of the plurality of component systems, and n representing a number of all operating parameters of the ith component system.
In application, for each component system, the health coefficient is equal to the sum of the products of the health coefficients of all the operating parameters and the corresponding first weight coefficient.
In one embodiment, the multiple component systems of the multi-split air conditioning system include an electric control system, the operating parameters of the electric control system include a voltage U and a current I, and according to the expression one, an expression of a health coefficient of the electric control system is obtained as the following expression two:
EC h =a U *U h +a I *I h
wherein, EC h Represents the health coefficient of the electronic control system, a U Representing a first weight coefficient corresponding to a voltage U, U h A health coefficient representing the voltage U, a I Representing a first weight coefficient, I, corresponding to the current I h Representing the health coefficient of the current I.
In application, the sum of the first weight coefficients corresponding to the health coefficients of the electric control system is 1, namely a U +a I =1,a U ∈(0,1),a I E (0, 1), the value of each first weight coefficient can be set according to actual needs, for example, the first weight coefficient a corresponding to the voltage U U Can be 0.5, and a first weight coefficient a corresponding to the current I I May take on a value of 0.5.
In one embodiment, the multiple component system of the multi-split air conditioning system includes a compressor system, the operation parameters of the compressor system include a discharge pressure Pd, a discharge temperature Td and a refrigerant flow q, and according to the above expression one, the expression of the health coefficient of the compressor system is given as the following expression three:
Com h =a Pd *Pd h +a Td *Td h +a q *q h
wherein Com h Representing the health factor of the compressor system, a Pd Indicating a first weight coefficient, pd, corresponding to the exhaust pressure Pd h A health coefficient indicating the exhaust pressure Pd, a Td Representing a first weight coefficient, td, corresponding to the exhaust temperature Td h A health coefficient representing the exhaust temperature Td q Indicating a first weight coefficient, q, corresponding to the refrigerant flow rate, q h A health coefficient indicating the refrigerant flow rate q.
In application, the sum of the first weighting factors corresponding to the health factor of the compressor system is 1, i.e. a Pd +a Td +a q =1,a Pd ∈(0,1),a Td ∈(0,1),a q E (0, 1), and the value of each first weight coefficient can be set according to actual needs, for example, the first weight coefficient a corresponding to the exhaust pressure Pd Pd May be 0.4, a first weight coefficient a corresponding to the exhaust temperature Td Td May be 0.4, and the first weight coefficient a corresponding to the refrigerant flow rate q q Can be 0.2. In one embodiment of the present invention,the multiple component systems of the multi-split air conditioning system comprise a heat exchanger system, the operating parameters of the heat exchanger system comprise air volume V, condensation temperature Tc and heat exchange capacity Q, and according to the expression I, the expression of the health coefficient of the heat exchanger system is obtained as the following expression IV:
Hex h =a v *V h +a Tc *Tc h +a Q *Q h
wherein, hex h Representing the health factor of the heat exchanger system, a v Representing a first weight coefficient, V, corresponding to the air volume, V h Health coefficient representing air volume V, a Tc Representing a first weight coefficient corresponding to the condensation temperature Tc, tc h Health coefficient representing condensation temperature Tc, a Q Representing a first weight coefficient, Q, corresponding to a heat transfer capacity, Q h Represents the health coefficient of the heat exchange capacity Q.
In application, the sum of the first weighting factors corresponding to the health factors of the heat exchanger system is 1, i.e. a v +a Tc +a Q =1,a v ∈(0,1),a Tc ∈(0,1),a Q E (0, 1), the value of each first weight coefficient can be set according to actual needs, for example, the first weight coefficient a corresponding to the air volume V v Can be 0.4, a first weight coefficient a corresponding to the condensation temperature Tc Tc Can be 0.2, and a first weight coefficient a corresponding to the heat exchange capacity Q Q May take on a value of 0.4. In one embodiment, the multiple component systems of the multi-split air conditioning system include an oil circuit system, the operating parameters of the oil circuit system include oil temperature To and oil pressure Po, and according To the above expression one, the expression of the health coefficient of the oil circuit system is given as the following expression five:
Oil h =a To *To h +a Po *Po h
wherein, oil h Representing the health coefficient of the oil system, a To Representing a first weight coefficient, to, corresponding To the oil temperature, to h Health coefficient, a, indicating oil temperature To Po Indicates a first weight coefficient, po, corresponding to the oil pressure Po h Health coefficient indicating oil pressure Po。
In application, the sum of the first weight coefficients corresponding to the health coefficient of the oil way system is 1, namely a To +a Po =1,a To ∈(0,1),a Po E (0, 1), the value of each first weight coefficient can be set according To the actual requirement, for example, the first weight coefficient a corresponding To the oil temperature To To Can be 0.5, and a first weight coefficient a corresponding to the oil pressure Po Po Can be 0.5. In one embodiment, in step S102, the expression of the health degree is the following expression six:
Figure GDA0003967150750000081
wherein C represents health degree, A i Representing the health coefficient of the ith component system of the plurality of component systems, a i A second weight coefficient corresponding to the health coefficient of the ith component system is represented, and m represents the number of the plurality of component systems.
In application, the health degree of the whole multi-split air conditioning system during operation is equal to the sum of the products of the health coefficients of the plurality of component systems and the corresponding second weight coefficients.
In one embodiment, the multiple component systems of the multi-split air conditioning system include four component systems including an electric control system, a compressor system, a heat exchanger system, and an oil circuit system, and according to the above expressions two to six, the expression of the health degree is:
VRF h =b 1 *EC h +b 2 *Com h +b 3 *Hex h +b 4 *Oil h
wherein, VRF h Indicates the degree of health, b 1 Health coefficient EC of presentation and electronic control system h Corresponding second weight coefficient, b 2 Health coefficient Com of presentation and compressor system h Corresponding second weight coefficient, b 3 Representing the health coefficient Hex of the heat exchanger system h Corresponding second weight coefficient, b 4 Representing the health factor Oil of the compressor system h Corresponding second weight coefficients.
In use, the sum of the second weighting factors corresponding to the health factors of the four component systems is 1, i.e. b 1 +b 2 +b 3 +b 4 =1,b 1 ∈(0,1),b 2 ∈(0,1),b 3 ∈(0,1),b 4 E (0, 1), the value of each second weight coefficient can be set according to actual needs, for example, the value is related to the health coefficient EC of the electric control system h Corresponding second weight coefficient b 1 Can be 0.25, and the health coefficient Com of the compressor system h Corresponding second weight coefficient b 2 Can be 0.25, and the health coefficient Hex of the heat exchanger system h Corresponding second weight coefficient b 3 Can be taken to be 0.25, which is related to the health factor Oil of the compressor system h Corresponding second weight coefficient b 4 May take on a value of 0.25.
In one embodiment, after step S101, the method includes:
a first notification signal carrying a health coefficient of each component system is issued.
In application, after the health coefficients of the component systems are obtained, a first notification signal carrying the health coefficient of each component system can be sent out in any human-computer interaction mode which enables a user to know, so that the user can know the health state of each component system at any time.
In one embodiment, after step S101, the method includes:
a first alarm signal is issued when the health coefficient of any component system is less than the corresponding health coefficient threshold.
In application, after the health coefficients of all the component systems are obtained, the health coefficients of all the component systems can be compared with a preset health coefficient threshold, if the health coefficient of any one of the component systems is smaller than the corresponding health coefficient threshold, a corresponding first alarm signal can be sent in any human-computer interaction mode which can be known by a user, so that the user can know that the health state of the component system is not good, and the component system can be maintained by taking corresponding maintenance measures in time. The health coefficient threshold corresponding to the health coefficient of each component system may be set by a user in a user-defined manner according to actual needs or may be set by default when the user leaves a factory. The first alarm signal should be distinguished from the first notification signal so that the user can discern a signal that characterizes a poor health status of the component system.
In one embodiment, step S101 is preceded by:
receiving a health coefficient threshold value setting instruction of each component system sent by a user;
and setting the health coefficient threshold value of each component system according to the health coefficient threshold value setting instruction of each component system.
In application, the manner in which the computing device receives the health coefficient threshold setting instruction may be the same as that of the health assessment instruction, and is not described herein again.
In one embodiment, after step S102, the method includes:
and sending a second notification signal carrying the health degree.
In application, after the health degree of the whole multi-split air-conditioning system is obtained, any human-computer interaction mode which can be known by a user can be adopted, and a second notification signal carrying the health degree of the multi-split air-conditioning system is sent out, so that the user can know the health state of the multi-split air-conditioning system at any time.
In one embodiment, after step S102, the method includes:
and when the health degree is less than the health degree threshold value, a second alarm signal is sent out.
In application, after the health degree of the whole multi-split air-conditioning system is obtained, the health degree and a preset health degree threshold value can be compared, if the health degree is smaller than the health degree threshold value, a corresponding second alarm signal can be sent in any human-computer interaction mode which can be known by a user, so that the user can know that the health state of the multi-split air-conditioning system is not good, and corresponding maintenance measures are taken in time to maintain the multi-split air-conditioning system. The health degree threshold value can be set by a user in a self-defined mode according to actual needs or default setting in factory leaving can be adopted. The second alarm signal should be distinguished from the second notification signal so that the user can recognize a signal representing a poor health status of the multi-split air conditioning system.
In one embodiment, step S101 is preceded by:
receiving a health degree threshold value setting instruction sent by a user;
and setting an instruction according to the health degree threshold value, and setting the health degree threshold value.
In application, the way in which the computing device receives the health degree threshold setting instruction may be the same as that of the health degree evaluation instruction, and is not described here again.
The health degree evaluation method provided by the embodiment of the application can obtain the health degree according to the operation parameters and the corresponding weight coefficients of a plurality of component systems when the multi-split air-conditioning system operates, and the health degree is used as a characterization parameter for analyzing the health state of the multi-split air-conditioning system, so that the health state of the multi-split air-conditioning system can be accurately evaluated;
the method comprises the steps of gradually fitting a plurality of operating parameters of a plurality of component systems to finally obtain a quantized health degree, so that complex data can be simplified into a single numerical value, and a user can accurately and conveniently know the health degree of the multi-split air-conditioning system according to the single numerical value;
after the health coefficients of all the component systems are obtained, a first notification signal carrying the health coefficient of each component system is sent out in any human-computer interaction mode which enables a user to know, so that the user can know the health state of each component system at any time; by comparing the health coefficients of all the component systems with the corresponding health coefficient threshold values, when the health coefficient of any one component system is smaller than the corresponding health coefficient threshold value, a corresponding first alarm signal is sent in an optional acquirable human-computer interaction mode, so that a user can acquire that the health state of the component system is not good, and then timely take corresponding maintenance measures to maintain the component system; by distinguishing the first alert signal from the first notification signal, a user may be allowed to discern a signal that characterizes a poor health status of the component system;
after the health degree of the whole multi-split air-conditioning system is obtained, a second notification signal carrying the health degree of the multi-split air-conditioning system is sent out in an arbitrary human-computer interaction mode which can be known by a user, so that the user can know the health state of the multi-split air-conditioning system at any time; by comparing the health degree with the health degree threshold value, when the health degree is smaller than the health degree threshold value, a corresponding second alarm signal is sent in any human-computer interaction mode which can be known by a user, so that the user can know that the health state of the multi-split air-conditioning system is not good, and therefore corresponding maintenance measures are timely taken to maintain the multi-split air-conditioning system; by making the second alarm signal to be distinguishable from the second notification signal, the user can recognize a signal that characterizes a poor health status of the multi-split air conditioning system.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
The embodiment of the application also provides a health degree evaluation device which is applied to the computing equipment and used for executing the method steps in the health degree evaluation method embodiment. The health assessment apparatus may be a virtual appliance (virtual application) in the computing device, run by a processor of the computing device, or may be the computing device itself.
As shown in fig. 4, a health degree evaluation apparatus 100 provided in the embodiment of the present application includes:
the health coefficient acquisition unit 101 is configured to acquire a health coefficient of each component system according to an operation parameter of each component system and a corresponding first weight coefficient when the multi-split air conditioning system operates;
and the health degree obtaining unit 102 is configured to obtain the health degree of the multi-split air conditioning system during operation according to the health coefficient of each component system and the corresponding second weight coefficient.
In one embodiment, the health assessment apparatus further comprises:
the receiving unit is used for receiving a health degree evaluation instruction sent by a user;
and the operation parameter acquisition unit is used for acquiring the operation parameters of each component system when the multi-split air conditioning system operates according to the health degree evaluation instruction.
In one embodiment, the health assessment apparatus further comprises a sending unit for sending a first notification signal carrying the health coefficient of each component system.
In one embodiment, the sending unit is further configured to issue a first alarm signal when the health coefficient of any of the component systems is less than the corresponding health coefficient threshold.
In one embodiment, the receiving unit is further configured to receive a health coefficient threshold setting instruction of each component system sent by a user;
the health degree evaluation device further comprises a threshold value setting unit for setting the health coefficient threshold value of each component system according to the health coefficient threshold value setting instruction of each component system.
In one embodiment, the sending unit is further configured to send a second notification signal carrying the health degree.
In one embodiment, the sending unit is further configured to issue a second alarm signal when the health degree is less than the health degree threshold.
In one embodiment, the receiving unit is further configured to receive a health threshold setting instruction sent by the user;
the health degree evaluation device further comprises a threshold setting unit for setting a health degree threshold according to the health degree threshold setting instruction.
In application, each unit in the health degree evaluation device may be a software program unit, may also be implemented by different logic circuits integrated in a processor, and may also be implemented by a plurality of distributed processors.
As shown in fig. 5, an embodiment of the present application further provides a computing device 200, including: at least one processor 201 (only one processor is shown in fig. 5), a memory 202, and a computer program 203 stored in the memory 202 and operable on the at least one processor 201, the steps in the various health assessment method embodiments described above being implemented when the computer program 203 is executed by the processor 201.
In an application, a computing device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that fig. 5 is merely an example of a computing device and is not intended to be limiting and may include more or fewer components than those shown, or some of the components may be combined, or different components may be included, such as input output devices, network access devices, etc. The input and output device may include the human-computer interaction device, and may further include a display screen for displaying operating parameters of the computing device. The network access device may include a communication unit for the computing device to communicate with the user terminal.
In an Application, the Processor may be a Central Processing Unit (CPU), and the Processor may also be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In some embodiments, the storage may be an internal storage unit of the computing device, such as a hard disk or a memory of the computing device. The memory may also be external to the computing device in alternative embodiments, such as a plug-in hard drive, smart Media Card (SMC), secure Digital (SD) Card, flash memory Card (Flash Card), etc. provided on the computing device. The memory may also include both internal storage units of the computing device and external storage devices. The memory is used for storing an operating system, an application program, a Boot Loader (Boot Loader), data, and other programs, such as program codes of computer programs. The memory may also be used to temporarily store data that has been output or is to be output.
In application, the Display screen may be a Thin Film Transistor Liquid Crystal Display (TFT-LCD), a Liquid Crystal Display (LCD), an Organic electroluminescent Display (OLED), a Quantum Dot Light Emitting diode (QLED) Display screen, a seven-segment or eight-segment digital tube, and the like.
In application, the Communication unit may be any device capable of performing wired or Wireless Communication with a user terminal in a long distance directly or indirectly according to actual needs, for example, the Communication unit may provide a solution for Communication applied to a network device, including Wireless Local Area Network (WLAN) (e.g., wi-Fi network), bluetooth, zigbee, mobile Communication network, global Navigation Satellite System (GNSS), frequency Modulation (FM), near Field Communication (NFC), infrared (Infrared, IR), and the like. The communication unit may include an antenna, and the antenna may have only one array element, or may be an antenna array including a plurality of array elements. The communication unit can receive electromagnetic waves through the antenna, frequency-modulate and filter electromagnetic wave signals, and send the processed signals to the processor. The communication unit can also receive a signal to be sent from the processor, frequency-modulate and amplify the signal, and convert the signal into electromagnetic waves through the antenna to radiate the electromagnetic waves.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units is merely illustrated, and in practical applications, the above distribution of functions may be performed by different functional units according to needs, that is, the internal structure of the apparatus may be divided into different functional units to perform all or part of the functions described above. Each functional unit in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the application. The specific working process of the units in the system may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program may implement the steps in the foregoing health degree assessment method embodiments.
Embodiments of the present application provide a computer program product, which when run on a computing device, enables the computing device to implement the steps in the above-described health assessment method embodiments.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or apparatus capable of carrying computer program code to a computing device, including recorded media, computer Memory, read-Only Memory (ROM), random-Access Memory (RAM), electrical carrier signals, telecommunications signals, and software distribution media. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments 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 units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present application, and they should be construed as being included in the present application.

Claims (7)

1. The health degree evaluation method is characterized by being applied to a multi-split air conditioning system, wherein the multi-split air conditioning system comprises a plurality of component systems, and the component systems comprise an electric control system, a compressor system, a heat exchanger system and an oil way system;
the operation parameters of the electric control system comprise voltage and current, the operation parameters of the compressor system comprise exhaust pressure, exhaust temperature and refrigerant flow, the operation parameters of the heat exchanger system comprise air volume, condensation temperature and heat exchange capacity, and the operation parameters of the oil circuit system comprise oil temperature and oil pressure;
the method comprises the following steps:
when the multi-split air conditioning system runs, acquiring a health coefficient of each component system according to the running parameter of each component system and the corresponding first weight coefficient;
sending a first notification signal carrying the health coefficient of each component system, and/or sending a first alarm signal when the health coefficient of any component system is smaller than a corresponding health coefficient threshold value;
acquiring the health degree of the multi-split air conditioning system during operation according to the health coefficient of each component system and the corresponding second weight coefficient;
the obtaining the health coefficient of each component system according to the operating parameter of each component system and the corresponding first weight coefficient includes:
acquiring a health coefficient of the operating parameter of each component system according to the operating parameter of each component system and the corresponding parameter range;
acquiring a health coefficient of each component system according to the health coefficient of the operating parameter of each component system and the corresponding first weight coefficient;
the obtaining the health coefficient of the operating parameter of each component system according to the operating parameter of each component system and the corresponding parameter range comprises:
setting a health coefficient of a jth operating parameter of an ith component system of the plurality of component systems to 1, i =1,2, \8230whenthe jth operating parameter of the ith component system is within a corresponding parameter range, wherein m, m represents the number of the plurality of component systems, j =1,2, \8230, and n, n represents the number of all operating parameters of the ith component system;
when the jth operation parameter of the ith component system is not in the corresponding parameter range, setting the health coefficient of the jth operation parameter of the ith component system to be 1 minus a preset difference percentage, wherein the preset difference percentage is an increase percentage or a decrease percentage between the jth operation parameter of the ith component system and the corresponding parameter range.
2. The health assessment method of claim 1, wherein the health coefficient of each of the component systems is expressed as:
Figure FDA0003967150740000011
wherein A is i Representing a health coefficient of an i-th component system of the plurality of component systems, b ij Representing a first weight coefficient corresponding to a health coefficient of a jth operating parameter of the ith component system, B ij A health coefficient representing a jth operating parameter of the ith component system, m represents a number of the plurality of component systems, and n represents a number of all operating parameters of the ith component system.
3. The health assessment method according to claim 1, wherein the health is expressed as:
Figure FDA0003967150740000021
/>
wherein C represents the degree of health, A i A health coefficient representing an ith component system of the plurality of component systems, a i A second weight coefficient corresponding to the health coefficient of the i-th component system is represented, and m represents the number of the plurality of component systems.
4. The health assessment method according to claim 1, wherein after obtaining the health of the multi-split air conditioning system during operation, the method comprises:
and when the health degree is smaller than a health degree threshold value, a second alarm signal is sent out.
5. The health degree evaluation device is applied to a multi-split air conditioning system, wherein the multi-split air conditioning system comprises a plurality of component systems, and the component systems comprise an electric control system, a compressor system, a heat exchanger system and an oil way system;
the operation parameters of the electric control system comprise voltage and current, the operation parameters of the compressor system comprise exhaust pressure, exhaust temperature and refrigerant flow, the operation parameters of the heat exchanger system comprise air volume, condensation temperature and heat exchange capacity, and the operation parameters of the oil circuit system comprise oil temperature and oil pressure;
the device comprises:
the health coefficient acquisition unit is used for acquiring the health coefficient of each component system according to the operation parameter of each component system and the corresponding first weight coefficient when the multi-split air-conditioning system operates;
the system comprises a sending unit, a receiving unit and a processing unit, wherein the sending unit is used for sending a first notification signal carrying the health coefficient of each component system and/or sending a first alarm signal when the health coefficient of any component system is smaller than a corresponding health coefficient threshold value;
the health degree obtaining unit is used for obtaining the health degree of the multi-split air-conditioning system during operation according to the health coefficient of each component system and the corresponding second weight coefficient;
the obtaining the health coefficient of each component system according to the operating parameter of each component system and the corresponding first weight coefficient includes:
acquiring a health coefficient of the operating parameter of each component system according to the operating parameter of each component system and the corresponding parameter range;
acquiring the health coefficient of each component system according to the health coefficient of the operating parameter of each component system and the corresponding first weight coefficient;
the obtaining the health coefficient of the operating parameter of each component system according to the operating parameter of each component system and the corresponding parameter range includes:
when the j operating parameter of the ith component system is in the corresponding parameter range, setting the health coefficient of the j operating parameter of the ith component system to be 1, i =1,2, \8230, wherein m, m represents the number of the component systems, j =1,2, \8230, n, n represents the number of all operating parameters of the ith component system;
when the jth operation parameter of the ith component system is not in the corresponding parameter range, setting the health coefficient of the jth operation parameter of the ith component system to be 1 minus a preset difference percentage, wherein the preset difference percentage is an increase percentage or a decrease percentage between the jth operation parameter of the ith component system and the corresponding parameter range.
6. A computing device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the fitness evaluation method according to any one of claims 1 to 4 when executing the computer program.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when being executed by a processor, carries out the steps of the fitness evaluation method according to any one of claims 1 to 4.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102305451A (en) * 2011-07-04 2012-01-04 徐坚 Mixed ground source heat pump monitoring system and method based on health assessment technology
JP2015001321A (en) * 2013-06-13 2015-01-05 パナソニック株式会社 Air conditioning control device, air conditioning facility, program
CN107168205A (en) * 2017-06-07 2017-09-15 南京航空航天大学 A kind of online health monitoring data collection and analysis method of civil aircraft air-conditioning system
EP3477409A1 (en) * 2017-10-31 2019-05-01 Ako Electromecánica, S.A.L. A computer implemented method, a computer program, and an apparatus for the diagnosis of anomalies in a refrigeration system
CN110953687A (en) * 2019-10-10 2020-04-03 珠海派诺科技股份有限公司 Health degree evaluation method and system of air conditioner and storage medium
CN111583590A (en) * 2020-04-08 2020-08-25 中铁建电气化局集团第一工程有限公司 Equipment fault monitoring early warning system in building
CN111578447A (en) * 2020-05-18 2020-08-25 珠海格力电器股份有限公司 Air conditioner health degree diagnosis method and device, computer equipment and storage medium
CN112765560A (en) * 2021-01-13 2021-05-07 新智数字科技有限公司 Equipment health state evaluation method and device, terminal equipment and storage medium

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012002006A (en) * 2010-06-18 2012-01-05 Jun Home Co Ltd Ventilation structure of building
CN105700990A (en) * 2016-01-18 2016-06-22 电信科学技术第五研究所 Software and hardware operation monitor method taking task as object
US10060358B2 (en) * 2016-04-19 2018-08-28 General Electric Company Compressor bleed valve health assessment systems and methods
CN106227272A (en) * 2016-08-01 2016-12-14 厦门钢宇工业有限公司 Fitness campaign environmental management device, system and method
US11668481B2 (en) * 2017-08-30 2023-06-06 Delos Living Llc Systems, methods and articles for assessing and/or improving health and well-being
CN108280543B (en) * 2018-01-17 2020-11-17 杭州安脉盛智能技术有限公司 Working condition self-adaptive equipment health degree evaluation method based on classification regression mode
EP3999784A1 (en) * 2019-07-16 2022-05-25 Airthinx, Inc. Environment monitoring and management system and method
CN110779168A (en) * 2019-11-18 2020-02-11 珠海格力电器股份有限公司 Air conditioner regular maintenance reminding method
CN111322732A (en) * 2020-02-24 2020-06-23 杨子靖 Air conditioner health state analysis method and system
CN111380148A (en) * 2020-03-12 2020-07-07 珠海格力电器股份有限公司 Multi-split debugging method
CN112128919A (en) * 2020-09-22 2020-12-25 珠海格力电器股份有限公司 Air conditioner health state evaluation method and device, air conditioner and storage medium
CN112856771B (en) * 2021-01-29 2022-09-02 青岛海尔空调器有限总公司 Control method and control device for air conditioner and air conditioner
CN112944603A (en) * 2021-03-17 2021-06-11 唐剑军 Air conditioner health assessment method for rail transit
CN113051685B (en) * 2021-03-26 2024-03-19 长安大学 Numerical control equipment health state evaluation method, system, equipment and storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102305451A (en) * 2011-07-04 2012-01-04 徐坚 Mixed ground source heat pump monitoring system and method based on health assessment technology
JP2015001321A (en) * 2013-06-13 2015-01-05 パナソニック株式会社 Air conditioning control device, air conditioning facility, program
CN107168205A (en) * 2017-06-07 2017-09-15 南京航空航天大学 A kind of online health monitoring data collection and analysis method of civil aircraft air-conditioning system
EP3477409A1 (en) * 2017-10-31 2019-05-01 Ako Electromecánica, S.A.L. A computer implemented method, a computer program, and an apparatus for the diagnosis of anomalies in a refrigeration system
CN110953687A (en) * 2019-10-10 2020-04-03 珠海派诺科技股份有限公司 Health degree evaluation method and system of air conditioner and storage medium
CN111583590A (en) * 2020-04-08 2020-08-25 中铁建电气化局集团第一工程有限公司 Equipment fault monitoring early warning system in building
CN111578447A (en) * 2020-05-18 2020-08-25 珠海格力电器股份有限公司 Air conditioner health degree diagnosis method and device, computer equipment and storage medium
CN112765560A (en) * 2021-01-13 2021-05-07 新智数字科技有限公司 Equipment health state evaluation method and device, terminal equipment and storage medium

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