Air conditioner control method and device based on health degree evaluation, air conditioner and medium

Abstract

The invention relates to an air conditioner control method and device based on health degree evaluation, an air conditioner and a medium. The method comprises the following steps: performing correlation analysis on each device of each water loop in a system to obtain a system layer weight coefficient and a device layer weight coefficient of each device; performing equipment health degree evaluation according to the performance index parameter, the operation state parameter and the equipment layer weight coefficient of each equipment in each water loop to obtain an equipment health degree evaluation value of each equipment; performing health degree evaluation on each water loop based on the equipment health degree evaluation value of each equipment in each water loop and the system layer weight coefficient to obtain a water loop health degree evaluation value of each water loop; and updating the operation time sequence of each water loop based on the water loop health degree evaluation value of each water loop. According to the method, the air conditioner operation system is subjected to accurate dynamic evaluation of the health degree, equipment maintenance and real-time updating of the air conditioner system operation strategy can be guided in time, and the health degree evaluation accuracy and the operation control timeliness of the air conditioner system are improved.

Description

Technical Field

[0001] The present application relates to the field of air conditioning control technology, and in particular to an air conditioning control method, device, air conditioner and medium based on health assessment. Background Art

[0002] With the rapid advancement of urbanization in recent years, high-rise buildings and large complexes have appeared more and more frequently in people's vision. These modern buildings not only represent the development and prosperity of the city, but also put forward more stringent requirements for the indoor environment. In order to meet people's urgent needs for a uniform, comfortable and humid environment, large-scale central air-conditioning systems have emerged and gradually become an indispensable part of modern buildings. However, there are many devices in large central air-conditioning systems and the system form is complex. How to formulate and implement reasonable and effective operation strategies to ensure that the air-conditioning system can not only create an ideal indoor environment, but also maintain an efficient and stable operation state has become a difficult task.

[0003] In the prior art, many central air-conditioning systems still follow the fixed static operation strategy of the original settings after being put into use. This unchanging operation mode is obviously unable to adapt to the constant changes and dynamic adjustments that the system undergoes during actual operation, and thus cannot optimize and adjust the original operation strategy according to the real-time dynamic data. What is more serious is that the risk of equipment failure always exists, and the system that continues to operate according to the original settings is often unable to perceive and respond to these dynamic changes in real time, resulting in poor overall operation and low energy efficiency. It can be seen that the above-mentioned method of controlling the operation of the air-conditioning system based on the static operation strategy of the original settings has the problem of low timeliness and control accuracy of system operation control. Summary of the invention

[0004] The present application provides an air conditioning control method, device, air conditioner and medium based on health assessment to solve the technical problems of low system operation control timeliness and control accuracy due to the central air conditioning system controlling the overall operation based on a static operation strategy.

[0005] According to one aspect of an embodiment of the present application, the present application provides an air conditioning control method based on health assessment, the method comprising: performing correlation analysis on each device in each water loop in the system to obtain the system-level weight coefficient and the device-level weight coefficient of each device; performing equipment health assessment based on the performance indicator parameters, operating status parameters and the device-level weight coefficient of each device in each water loop to obtain an equipment health assessment value of each device; performing health assessment on each water loop based on the equipment health assessment value and the system-level weight coefficient of each device in each water loop to obtain a water loop health assessment value of each water loop; and updating the operating timing of each water loop in the system based on the water loop health assessment value of each water loop.

[0006] Optionally, the correlation analysis is performed on each device in each water loop in the system to obtain the system-level weight coefficient and the device-level weight coefficient of each device, including: obtaining the energy consumption data of each device, and performing a correlation analysis on the energy consumption data of each device in each water loop in the system based on a correlation algorithm to obtain the system-level weight coefficient of each device on each water loop; obtaining the performance indicator parameters and the operating status parameters of each device in each water loop, and performing a correlation analysis on the performance indicator parameters and the operating status parameters of each device on each water loop based on a correlation algorithm to obtain the device-level weight coefficient.

[0007] Optionally, the equipment layer weight coefficient includes an equipment performance weight coefficient and an equipment operation weight coefficient, and the equipment health assessment is performed based on the performance indicator parameters, operating status parameters and the equipment layer weight coefficient of each equipment in each water loop, including: determining a performance parameter ratio based on the performance indicator parameters of each equipment and a preset performance indicator parameter reference value, and determining an operating parameter ratio based on the operating status parameters of each equipment and a preset operating status parameter reference value; determining an equipment performance health value based on the performance parameter ratio of the equipment and the equipment performance weight coefficient, and determining an equipment operation health value based on the operating parameter ratio of the equipment and the equipment operation weight coefficient; and calculating the equipment health assessment value based on the equipment performance health value and the equipment operation health value of each equipment.

[0008] Optionally, the operating timing of each water loop in the system is updated based on the water loop health assessment value of each water loop, including: obtaining the water loop health assessment value of the water loop at each acquisition node within a preset acquisition period, quantifying indicators based on the water loop health assessment value at each acquisition node, and obtaining a target health assessment value of each water loop within the preset acquisition period; judging whether the target health assessment value of each water loop reaches a health threshold; if the health threshold is reached, determining the water loop priority according to the target health assessment value of each water loop, and determining the control timing of the water loop in the system based on the water loop priority; if the health threshold is not reached, judging that there is a water loop equipment abnormality and reporting the water loop equipment abnormality, and re-evaluating the health according to the abnormality handling result.

[0009] Optionally, the water loop priority is determined according to the water loop health assessment value of each water loop, and the control timing of the water loop in the system is determined based on the water loop priority, including: arranging the target health assessment values ​​that reach the health threshold in order to determine the water loop priority of each water loop; if an instruction to start the system water loop is received, then based on the water loop priority system, the water loop with a higher priority is started and operated; if an instruction to close the system water loop is received, then based on the water loop priority system, the water loop with a lower priority is closed and operated.

[0010] Optionally, the determination of the presence of water loop equipment abnormality and reporting of the water loop equipment abnormality, and re-evaluation of health status according to the abnormality handling result include: if it is determined that there is a water loop equipment abnormality, marking the abnormal water loop and reporting the equipment abnormality; detecting whether the abnormal equipment has completed equipment maintenance after reporting the equipment abnormality; if the abnormal equipment has completed equipment maintenance, obtaining the historical performance indicator parameters and the historical operating status parameters of the same equipment in the optimal water loop based on the water loop priority; assigning equipment parameters to the equipment that has resumed operation through the historical performance indicator parameters and the historical operating status parameters, and re-evaluating health status based on the assigned equipment parameters.

[0011] Optionally, after performing correlation analysis on the performance indicator parameters and the operating status parameters of each device in each water loop based on the correlation algorithm to obtain the device layer weight coefficient, the method further includes: acquiring a scenario operation mode of the system, different scenario operation modes paying different attention to the device performance parameters and the operating status parameters of each device in the water loop; and adjusting the device performance weight coefficient and the equipment operation weight coefficient based on the different attention paid to the device performance parameters and the operating status parameters of each device by the scenario operation mode.

[0012] According to another aspect of an embodiment of the present application, the present application provides an air-conditioning control device based on health assessment, and the device includes: a data analysis module, which is used to perform correlation analysis on each device in each water loop in the system, and obtain the system-level weight coefficient and the device-level weight coefficient of each device; a first evaluation module, which is used to perform equipment health assessment according to the performance indicator parameters, operating status parameters and the equipment-level weight coefficient of each device in each water loop, and obtain the equipment health assessment value of each device; a second evaluation module, which is used to perform health assessment on each water loop based on the equipment health assessment value and the system-level weight coefficient of each device in each water loop, and obtain the water loop health assessment value of each water loop; an operation control module, which is used to update the operation timing of each water loop in the system based on the water loop health assessment value of each water loop.

[0013] According to another aspect of an embodiment of the present application, the present application provides an air conditioner, which performs operation control according to the air conditioning control method based on health assessment.

[0014] According to another aspect of an embodiment of the present application, the present application provides a storage medium having a non-volatile program code executable by a processor, wherein the program code enables the processor to execute the steps of the air conditioning control method based on health assessment.

[0015] The above technical solution provided by the embodiment of the present application has the following advantages compared with the related art:

[0016] The air conditioning control method based on health assessment provided in the present application is applicable to a large-scale central air conditioning system including multiple water loops. The system-level weight coefficient and the device-level weight coefficient of each device are obtained by performing correlation analysis on each device in each water loop in the system. Analysis is performed at the device level and the system level respectively, which is conducive to accurately determining the importance of each device at the device level and the system level, and then more accurately evaluating the health status of each device. The health of the equipment is evaluated by combining performance indicator parameters, operating status parameters and device-level weight coefficients, which can comprehensively analyze the equipment status and obtain a more accurate equipment health assessment value. The water loop health assessment is performed based on the equipment health assessment value and the system-level weight coefficient, and the overall situation of the water loop can be determined according to the water loop health assessment value, so as to guide the timely maintenance of the equipment and the real-time update of the air conditioning system operation strategy, and ultimately improve the accuracy of the air conditioning system health assessment and the timeliness of operation control. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application. In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technology descriptions are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can also be obtained based on these drawings without paying creative labor.

[0018] Figure 1 A schematic diagram of the hardware environment of an optional air conditioning control method based on health assessment provided according to an embodiment of the present application;

[0019] Figure 2 A schematic flow chart of an optional air conditioning control method based on health assessment provided according to an embodiment of the present application;

[0020] Figure 3 An overall control logic diagram of another optional air conditioning control method based on health assessment provided according to an embodiment of the present application;

[0021] Figure 4 A flowchart of another optional air conditioning control method based on health assessment provided according to an embodiment of the present application;

[0022] Figure 5 A structural diagram of an optional air conditioning control device based on health evaluation provided according to an embodiment of the present application;

[0023] Figure 6 A schematic diagram of an optional electronic device structure provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0025] In order to solve the problems mentioned in the background technology, according to one aspect of the embodiments of the present application, an embodiment of an air conditioning control method based on health evaluation is provided.

[0026] like Figure 1 As shown, the above air conditioning control method based on health evaluation can be applied to Figure 1 In the hardware environment shown. The system architecture 100 of the hardware environment includes a terminal device 101 and a server 103. The server 103 is connected to the terminal 101 through a network and can be used to provide services for the terminal or a client installed on the terminal. A database 105 can be set on the server or independently of the server to provide data storage services for the server 103. The network can include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0027] The user can use the terminal device 101 to interact with the server 103 through the network to receive or send messages, etc. Various communication client applications can be installed on the terminal device 101, such as web browser applications, search applications, instant messaging tools, etc. Among them, the terminal device 101 can be various electronic devices with a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic image experts compression standard audio layer 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image experts compression standard audio layer 4) players, laptops and desktop computers, etc. The server 103 can be a server that provides various services, such as a background server that supports the pages displayed on the terminal device 101.

[0028] It should be noted that the air conditioning control method based on health evaluation provided in the embodiment of the present application is generally executed by a server and / or a terminal device, and accordingly, the air conditioning control device based on health evaluation is generally set in the server / terminal device. And it should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to the implementation requirements.

[0029] like Figure 2 As shown, Figure 2 A flow chart of an air conditioning control method based on health evaluation provided by an embodiment of the present invention. Taking the air conditioning control method based on health evaluation executed by a server as an example, the air conditioning control method based on health evaluation includes the following steps:

[0030] Step S202, performing correlation analysis on each device in each water loop in the system to obtain a system-level weight coefficient and a device-level weight coefficient of each device.

[0031] The air conditioning control method based on health assessment provided in this embodiment is applicable to a large central air conditioning system including multiple water loops, and can provide cooling, heating, ventilation and air purification functions for multiple areas in a building, wherein the water loop of the central air conditioning system includes a chilled water loop, a cooling water loop, an indoor water-air loop, etc.

[0032] In this embodiment, each water loop includes different equipment, and each equipment together forms a water loop, so each equipment has a certain correlation in the water loop control. In this embodiment, the equipment included in each water loop includes: a cooling tower, a cooling water pump, a chiller, and a refrigeration water pump.

[0033] In this embodiment, the correlation analysis of each device in each water loop in the system can determine the degree of correlation between each device, and determine the system-level weight coefficient and device-level weight coefficient of each device based on the degree of correlation, wherein the analysis data input for analyzing the system-level weight coefficient and device-level weight coefficient of each device are different. The above-mentioned correlation analysis method includes but is not limited to the correlation coefficient method, the scatter plot method, the regression analysis method, the covariance matrix method, etc., wherein the correlation coefficients commonly used in the correlation coefficient method include the Pearson correlation coefficient, the Spearman rank correlation coefficient, the Kendall correlation coefficient, etc.

[0034] Furthermore, based on the correlation analysis method, the system-level weight coefficient and the device-level weight coefficient of each device in each water loop can be calculated. In the same water loop, the sum of the system-level weight coefficients of each device is equal to 1, and the sum of the device-level weight coefficients of each device is equal to 1.

[0035] S204, performing equipment health evaluation according to the performance index parameters, operation status parameters and equipment layer weight coefficient of each device in each water loop to obtain an equipment health evaluation value of each device.

[0036] In this embodiment, the performance index parameters and operating status parameters of each device can be obtained, and the obtained data can be preprocessed, including missing value processing, outlier detection processing and data standardization processing. The equipment health evaluation is further performed based on the preprocessed performance index parameters, operating status parameters and equipment layer weight coefficients to obtain the equipment health evaluation values ​​of the cooling tower, cooling water pump, chiller and refrigeration water pump.

[0037] S206, performing health assessment on each water loop based on the device health assessment value of each device in each water loop and the system layer weight coefficient to obtain a water loop health assessment value for each water loop.

[0038] In this embodiment, after calculating the equipment health evaluation values ​​of the cooling tower, cooling water pump, chiller, and refrigerated water pump in each water loop, the health of each device at the system level can be calculated based on the system-level weight coefficients of the equipment health evaluation values ​​of the cooling tower, cooling water pump, chiller, and refrigerated water pump. Then, based on the health of the cooling tower, cooling water pump, chiller, and refrigerated water pump in the same water loop at the system level, the health of the water loop is evaluated, and finally the water loop health evaluation value of each water loop is obtained.

[0039] S208: Update the operating schedule of each water loop in the system based on the water loop health evaluation value of each water loop.

[0040] In this embodiment, after obtaining the water loop health evaluation value of each water loop, a health threshold can be set, and the system operation adjustment strategy is updated according to the comparison result between the water loop health evaluation value of the water loop and the health threshold, and then the operation sequence of each water loop in the system is updated to determine the opening sequence of each water loop when the system is started next time, or the closing sequence of the equipment when the system is shut down. At the same time, it can also be determined according to the comparison result that in the case of a faulty device, the fault can be reported in time, and the maintenance personnel can be guided to perform equipment maintenance, and the operation of the water loop can be restored in time to ensure the reliability and stability of the system.

[0041] In an embodiment of the present invention, the system-level weight coefficient and the device-level weight coefficient of each device are obtained by performing correlation analysis on each device in each water loop in the system, and analysis is performed from the device layer and the system layer respectively, which is conducive to accurately determining the importance of each device at the device layer and the system layer, and then more accurately evaluating the health status of each device; evaluating the health of the equipment in combination with the performance indicator parameters, the operating status parameters and the device-level weight coefficient can comprehensively analyze the equipment status and obtain a more accurate equipment health assessment value, and perform water loop health assessment based on the equipment health assessment value and the system-level weight coefficient, and determine the overall situation of the water loop according to the water loop health assessment value, so as to guide the timely maintenance of the equipment and the real-time update of the air-conditioning system operation strategy, and ultimately improve the accuracy of the air-conditioning system health assessment and the timeliness of operation control.

[0042] In an optional embodiment, the above step S202 specifically includes:

[0043] S2021, obtaining energy consumption data of each device, performing correlation analysis on the energy consumption data of each device on each water loop in the system based on a correlation algorithm, and obtaining the system-level weight coefficient of each device on each water loop;

[0044] S2022, obtaining the performance indicator parameters and the operating status parameters of each device in each water loop, and performing correlation analysis on the performance indicator parameters and the operating status parameters of each device in each water loop based on a correlation algorithm to obtain the device layer weight coefficient.

[0045] In this embodiment, at the initial stage of the system being put into operation, the system can be operated continuously for more than one refrigeration season according to the original set operation strategy, and at the same time, the energy consumption data, performance index parameters and operation status parameters of each device in each water loop are collected through data acquisition equipment. Among them, the energy consumption data of each device includes the energy consumption data of the cooling tower, cooling water pump, chiller and refrigeration water pump per unit time, in units of kW / h. Among them, the performance index parameters of the cooling tower include approximation, heat exchange efficiency, and transport coefficient; the performance index parameters of the cooling water pump include the transport coefficient; the performance index parameters of the chiller include the unit energy efficiency value, unit load rate, evaporator end temperature difference and condenser end temperature difference; the performance index parameters of the refrigeration water pump include the transport coefficient. Among them, the operation status parameters of the cooling tower, cooling water pump, chiller and refrigeration water pump include the cumulative operation time and the cumulative failure frequency.

[0046] In some examples, after obtaining the energy consumption data, performance indicator parameters and operating status parameters of cooling towers, cooling water pumps, chillers and refrigeration water pumps, the data can be preprocessed separately, including missing value processing, outlier detection processing and data standardization in sequence, and the preprocessed data can be used as input data for health assessment. Missing value processing can maintain data integrity, improve data quality, and thus improve the accuracy of subsequent data analysis. Outlier detection processing can identify potential problems, such as data collection errors, measurement errors, etc. Cleaning up outliers can improve the quality and credibility of data, thereby enhancing the accuracy of data analysis. Data standardization can eliminate dimensional effects and make data comparable. Data standardization can also reduce the impact of outliers and improve the stability of data in statistical analysis.

[0047] In some examples, the above correlation algorithm can be a Spearman correlation analysis algorithm, including the steps of collecting and organizing variable data to be analyzed, converting variable data into rankings, calculating ranking differences, and calculating correlation coefficients. Among them, when analyzing the system-level weight coefficients of each device on each water loop, the variable data are the energy consumption data of the cooling tower, cooling water pump, chiller, and chilled water pump; when analyzing the equipment-level weight coefficient, the variable data are the performance index parameters and operating status parameters of the cooling tower, cooling water pump, chiller, and chilled water pump.

[0048] In this implementation, the system-level weight coefficient of each device is calculated based on the energy consumption data of the device through a correlation algorithm, and the device-level weight coefficient of each device is calculated based on the performance indicator parameters and operating status parameters through a correlation algorithm. This can accurately evaluate the importance of each device at the device level and the system level, which is conducive to more accurate evaluation of the health of each device and water loop, and ultimately obtain the optimal system operation control strategy.

[0049] In an optional embodiment, the above step S204 specifically includes:

[0050] S2041, determining a performance parameter ratio based on the performance indicator parameter of each device and a preset performance indicator parameter reference value, and determining an operation parameter ratio based on the operation status parameter of each device and a preset operation status parameter reference value;

[0051] S2042, determining a device performance health value according to the performance parameter ratio of the device and the device performance weight coefficient, and determining a device operation health value according to the operation parameter ratio of the device and the device operation weight coefficient;

[0052] S2043: Calculate the device health evaluation value according to the device performance health value and the device operation health value of each device.

[0053] In this embodiment, the above-mentioned device layer weight coefficient includes a device performance weight coefficient and a device operation weight coefficient. The device performance weight coefficient may refer to the weight corresponding to the performance indicator parameter of the device, and the device operation weight coefficient value may refer to the weight corresponding to the operation status parameter.

[0054] In some examples, in order to avoid the failure of health assessment caused by inconsistent dimensions of performance indicator parameters and operating status parameters of each device, corresponding reference values ​​can be introduced for the performance indicator parameters and operating status parameters of each device, including introducing preset performance indicator parameter reference values ​​for performance indicator parameters, and introducing preset operating status parameter reference values ​​for operating status parameters. The introduced reference values ​​can be used as a scale for evaluating the relative levels of performance indicator parameters and operating status parameters of each device, and unify performance indicator parameters and operating status parameters of different dimensions. For example: for cooling towers and chillers, the reference values ​​of the operating status parameters of cooling towers include the reference value of the cumulative operating time (unit: hours) and the reference value of the cumulative fault frequency (unit: times); the reference values ​​of the performance index parameters of cooling towers include the reference value of the approximation degree (unit: degrees Celsius), the reference value of the heat exchange efficiency, and the reference value of the transfer coefficient; the reference values ​​of the operating status parameters of chillers include the reference value of the cumulative operating time (unit: hours) and the reference value of the cumulative fault frequency (unit: times); the reference values ​​of the performance index parameters of chillers include the reference value of unit energy efficiency (unit: kW / h), the reference value of unit load rate, the reference value of the evaporator end temperature difference (unit: ℃), and the reference value of the condenser end temperature difference (unit: ℃).

[0055] In some examples, the above performance parameter ratios follow the performance index parameter reference value / performance index parameter. Similarly, the above operating parameter ratios follow the operating status parameter reference value / operating status parameter, that is, they follow the reference value / parameter principle. Specifically, the cumulative operating time and cumulative fault frequency in the operating status parameters of each device follow the reference value / parameter; the approximation degree in the performance index parameters of the cooling tower follows the reference value / parameter, and the heat exchange efficiency follows the parameter / reference value; the delivery coefficient in the performance index parameters of the cooling water pump and the freezing water pump follows the parameter / reference value; the load rate and unit energy efficiency in the performance index parameters of the chiller follow the parameter / reference value; the temperature difference at the evaporator end and the temperature difference at the condenser end follow the reference value / parameter.

[0056] In other examples, in order to ensure that the data range of the operating status parameters and the operating status parameter reference values, the performance indicator parameters and the performance indicator parameter reference values ​​are consistent, and to ensure that they meet the unified judgment standards, the values ​​of the parameters and parameter reference values ​​can be constrained, including stipulating that the values ​​of the operating status parameters / operating status parameter reference values, the operating status parameter reference values / operating status parameters, the performance indicator parameters / performance indicator parameter reference values, and the performance indicator parameter reference values / performance indicator parameters are between 0 and 1. When the value exceeds 1, the value is limited to 1.

[0057] In this embodiment, after calculating the performance parameter ratio and the operating parameter ratio of each device, the equipment performance health value of the device is calculated based on the performance parameter ratio of each device and the equipment performance weight coefficient; and the equipment operation health value of the device is calculated based on the operating parameter ratio of each device and the equipment operation weight coefficient.

[0058] Furthermore, the equipment performance health value and equipment operation health value of each device in the same water loop can be calculated to obtain the equipment health evaluation value. In order to facilitate understanding of the equipment health evaluation performed in this application, the following is an example of water loop A in the system.

[0059] Specifically, the water loop A of the system includes a cooling tower, a cooling water pump, a chiller and a refrigeration water pump. The performance index parameters of the cooling tower include approximation a, heat exchange efficiency b, and transport coefficient c; the performance index parameter reference values ​​of the cooling tower include approximation reference value a r , Heat exchange efficiency reference value b r , reference value of transport coefficient c r ; The operating status parameters of the cooling tower include the cumulative operating time t1 of the cooling tower and the cumulative fault frequency k1; The operating status parameter reference value of the cooling tower includes the cumulative operating time reference value t 1r , cumulative fault frequency reference value k 1r , based on the following formula (1), the cooling tower health assessment value is calculated.

[0060] CT ef =a e *(a r / a)+b e *(b / b r )+c e *(c / c r )+

[0061] t e1 *(t 1r / t1)+k e1 *(k 1r / k1)(1)

[0062] In formula (1), CT ef is the cooling tower health assessment value, a e is the equipment performance weight coefficient corresponding to the approximation degree, b e is the equipment performance weight coefficient corresponding to the heat transfer efficiency, c e is the equipment performance weight coefficient corresponding to the cooling tower delivery coefficient, t e1 is the equipment operation weight coefficient corresponding to the cumulative operation time of the cooling tower, k e1 is the equipment operation weight coefficient corresponding to the cumulative failure frequency of the cooling tower, where a e +b e +c e +t e1 +k e1 =1.

[0063] In water loop A, the performance index parameters of the cooling water pump include the delivery coefficient d; the performance index parameter reference value includes the delivery coefficient reference value d r ; The operating status parameters of the cooling water pump include the cumulative operating time t2 and the cumulative fault frequency k2 of the cooling water pump; the operating status parameter reference value of the cooling water pump includes the cumulative operating time reference value t 2r and the cumulative fault frequency reference value k 2r , based on the following formula (2), calculate the cooling water health assessment value.

[0064] CLP ef =d e *(d / d r )+t e2 *(t 2r / t2)+k e2 *(k 2r / k2) (2)

[0065] In formula (2), CLP ef is the cooling water health assessment value, d e is the equipment performance weight coefficient corresponding to the cooling water pump delivery coefficient, t e2 and k e2is the equipment operation weight coefficient corresponding to the cumulative operation time and cumulative failure frequency of the cooling water pump, where d e +t e2 +k e2 =1.

[0066] In water loop A, the performance index parameters of the chiller include the unit energy efficiency value e, unit load rate f, evaporator end temperature difference g, condenser end temperature difference h, and the performance index parameter reference value of the chiller includes the unit energy efficiency reference value e r , Unit load factor reference value f r , Evaporator end temperature difference reference value g r , condenser end temperature difference reference value h r The operating status parameters of the chiller include the cumulative operating time t3 and the cumulative fault frequency k3 of the chiller. The operating status parameter reference value of the chiller includes the cumulative operating time reference value t 3r and the cumulative fault frequency reference value k 3r , based on the following formula (3), calculate the health evaluation value of the chiller.

[0067] P ef =e e *(e / e r )+f e *(f / f r )+g e *(g r / g)+h e *(h r / h)+

[0068] t e3 *(t 3r / t3)+k e3 *(k 3r / k3)(3)

[0069] In formula (3), P ef is the health evaluation value of the chiller, e e is the equipment performance weight coefficient corresponding to the energy efficiency value of the chiller, f e is the equipment performance weight coefficient corresponding to the unit load rate, g e is the equipment performance weight coefficient corresponding to the temperature difference at the evaporator end, h e is the equipment performance weight coefficient corresponding to the temperature difference at the condenser end, t e3 and k e3 is the equipment operation weight coefficient corresponding to the cumulative operation time and cumulative failure frequency of the chiller, where e e +f e +g e +h e +t e3 +ke3 =1.

[0070] In water loop A, the performance index parameters of the chilled water pump include the delivery coefficient j, and the performance index parameter reference values ​​include the delivery coefficient reference value j r The operating status parameters include the cumulative operating time t4 and the cumulative fault frequency k4 of the chilled water pump. The operating status parameter reference value includes the cumulative operating time reference value t 4r , cumulative fault frequency reference value k 4r , based on the following formula (4), calculate the health assessment value of the chilled water pump.

[0071] CWP ef =j e *(j / j r )+t e4 *(t 4r / t4)+k e4 *(k 4r / k4) (4)

[0072] In formula (4), CWP ef is the health evaluation value of the chilled water pump, j e is the equipment performance weight coefficient corresponding to the chilled water pump delivery coefficient, t e4 and k e4 is the equipment operation weight coefficient corresponding to the cumulative operation time and cumulative failure frequency of the chilled water pump, where j e +t e4 +k e4 =1.

[0073] Furthermore, according to the above formulas (1) to (4), the health assessment values ​​of the cooling tower, cooling water pump, chiller, and refrigeration water pump in each water loop can be calculated. Of course, if the water loop also includes other equipment, the health assessment values ​​of other equipment can also be calculated in the same way.

[0074] In this embodiment, by introducing reference values ​​and constraining parameters and reference values, it is possible to provide a reference standard for evaluating the relative levels of performance indicator parameters and operating status parameters of each device, unify performance indicator parameters and operating status parameters of different dimensions, and ensure that the operating status parameters are consistent with the operating status parameter reference value, the performance indicator parameters and the performance indicator parameter reference value data range, so as to facilitate the use of a unified judgment standard. By combining the performance indicator parameter reference value, the performance indicator parameter and the equipment performance weight coefficient to calculate the equipment performance health value, and combining the operating status parameter, the operating status parameter reference value and the equipment operation weight coefficient to calculate the equipment operation health value, and calculating the equipment health evaluation value based on the equipment performance health value and the equipment operation health value, a dynamic evaluation from multiple dimensions of equipment performance and operating status is achieved, which can improve the accuracy of equipment health evaluation, and thus more accurately identify whether the equipment is faulty, so as to carry out maintenance in a timely manner and improve system stability and reliability.

[0075] In an optional embodiment, the above step S208 specifically includes:

[0076] S2081, obtaining the water loop health evaluation value of the water loop at each collection node within a preset collection period, and performing indicator quantification based on the water loop health evaluation value at each collection node to obtain a target health evaluation value of each water loop within the preset collection period;

[0077] S2082, determining whether the target health evaluation value of each water loop reaches a health threshold;

[0078] S2083, if the health threshold is reached, determining the water loop priority according to the target health evaluation value of each water loop, and determining the control timing of the water loop in the system based on the water loop priority;

[0079] S2084: If the health threshold is not reached, it is determined that there is a water loop equipment abnormality and the water loop equipment abnormality is reported, and the health is re-evaluated based on the abnormality processing result.

[0080] In this embodiment, the preset collection cycle and collection node can be customized, for example, the collection cycle is 12 hours, and the collection node is one-hour interval as a collection node. Each of the above water loop health assessment values ​​is used as an assessment value on a single collection node, such as the water loop health assessment value at 12 noon. In order to formulate the subsequent operation control strategy of the system more accurately and comprehensively, the water loop health assessment value of the water loop at each collection node within the preset collection cycle can be obtained, and the water loop health assessment value data set can be obtained based on the water loop health assessment value of the water loop at each collection node within the preset collection cycle. According to the water loop health assessment value data set, a health assessment value simulation curve can be constructed. Furthermore, the health assessment value simulation curve is quantified by indicators, and the mean, variance, etc. corresponding to each water loop are calculated, and it is used as the target health assessment value of the corresponding water loop. Based on this method, the target health assessment value of all water loops in the air-conditioning system can be obtained, so as to evaluate the health status of each water loop within the preset collection cycle.

[0081] In some examples, combined Figure 3 As shown, the health threshold can be set according to the historical target health assessment value of the water loop corresponding to the equipment abnormality in the past, so as to more accurately determine whether there is an equipment failure in the water loop. Furthermore, the target health assessment value of each water loop is compared with the health threshold, and the water loops that meet the health threshold are sorted according to the target health assessment value of the water loop, so as to obtain the priority corresponding to each water loop, for example: the priority of each water loop is obtained by arranging in descending order. According to the determined water loop priority order, the operation strategy of the central air-conditioning system is updated, for example: when the system starts to operate initially / when the system needs to add an operating water loop during operation, the higher priority water loop will be opened first.

[0082] In other examples, combined with Figure 3 As shown, if the target health evaluation value of the water loop does not reach the health threshold, it means that the health of the water loop is low, and there is a high probability that there is an equipment abnormality. It can be considered that there is an equipment abnormality in the water loop and timely maintenance is required. In this regard, the abnormality of the water loop equipment will be reported in time, and the operation and maintenance personnel will be notified in time to perform maintenance. After a certain period of time, the abnormality processing results will be obtained to determine whether the maintenance is completed. Specifically, it can be determined whether the abnormal equipment has completed maintenance after a certain interval of time, and when the maintenance is completed and the operation is restored, the equipment parameters are assigned based on the historical performance indicator parameters and historical operating status parameters of the same equipment in the optimal water loop, and the health of the equipment is re-evaluated, and then the health evaluation of the water loop where the equipment is located is re-completed. The corresponding water loop priority is determined based on the re-evaluated water loop health evaluation value, and then the operation strategy of the central air-conditioning system is updated according to the determined water loop priority.

[0083] In this embodiment, by quantifying the water loop health evaluation value within the preset collection cycle, the water loop health evaluation value of a certain time period is quantified and then compared with the health threshold value for judgment, thereby avoiding the large error in the result and the large amount of data calculation caused by directly comparing and judging the water loop health evaluation value of a single collection node, and improving the accuracy of judging abnormalities of water loop equipment, which is conducive to determining the optimal operation strategy and accurately discovering equipment abnormalities, and timely guiding equipment maintenance. Controlling the opening order of each water loop based on the water loop priority can ensure that the system operates in the optimal state, thereby improving the system operation stability and efficiency. Timely reporting of abnormalities for equipment maintenance can ensure that the overall system resumes stable operation in a timely manner.

[0084] In an optional embodiment, the above step S2083 specifically includes:

[0085] The target health evaluation values ​​reaching the health threshold are arranged in order to determine the water loop priority of each water loop;

[0086] If a command to start the system water loop is received, a water loop with a higher priority in the system is controlled to start operation based on the water loop priority;

[0087] If a command to close a system water loop is received, a water loop with a lower priority in the system is controlled to close based on the water loop priority.

[0088] In this embodiment, the control sequence of the water loop specifically includes: in the system startup phase, the central air-conditioning system is turned on in sequence according to the water loop priority, and the shutdown sequence is turned off in reverse order of the water loop priority. In the system operation phase, the central air-conditioning system gives priority to enabling the water loop with a higher health priority when loading, and gives priority to shutting down the water loop with a lower health priority when unloading.

[0089] In some examples, the target health assessment values ​​of the health thresholds can be arranged in descending order to determine the water loop priority of each water loop. After receiving the instruction to start the system water loop, the water loop with a higher priority in the system is started based on the water loop priority, wherein the instruction to start the system water loop includes the water loop start instruction at system startup and the start instruction for requesting to add a water loop during the system operation phase. For example: the target health assessment values ​​corresponding to water loops A, B, C, and D are 80, 85, 95, and 86 respectively, then the water loop priorities after descending order are water loops C, D, B, and A. During the system startup phase, water loops C, D, B, and A in the control system are started in turn.

[0090] In other examples, the instructions for closing the system water loop include water loop closing instructions when the system is shut down and closing instructions for requesting fewer water loops during the system operation phase. If the system needs to reduce the water loop load during the operation phase or during the system shutdown phase, the water loops with low priority can be closed first. For example, if the target health assessment values ​​corresponding to water loops A, B, C, and D are 80, 85, 95, and 86, respectively, the water loop priorities after descending order are water loops C, D, B, and A. When reducing the load during the system operation phase, the load is reduced based on the order of water loops A, B, D, and C.

[0091] In this embodiment, during the system startup phase or operation phase, the water loop with higher control priority is opened first, and the water loop with lower control priority is closed first based on the water loop priority control. This can ensure that the system operates in the optimal state, thereby improving the system operation stability and efficiency.

[0092] In an optional embodiment, the above step S2084 specifically includes:

[0093] If it is determined that there is an abnormality in the water loop equipment, the abnormal water loop will be marked and the equipment abnormality will be reported;

[0094] Check whether the abnormal equipment has completed equipment maintenance after the abnormal equipment is reported;

[0095] If the abnormal device completes equipment maintenance, the historical performance indicator parameters and the historical operating status parameters of the same device in the optimal water loop are obtained based on the water loop priority;

[0096] The equipment parameters of the equipment that has resumed operation are assigned using the historical performance indicator parameters and the historical operation status parameters, and the health status is re-evaluated based on the assigned equipment parameters.

[0097] Combination Figure 3As shown, in this embodiment, when the target health evaluation value of the water loop does not reach the health threshold, the water loop can be marked as an abnormal water loop, and the equipment abnormality report is performed to notify maintenance personnel and guide the equipment to be maintained in time, and the maintenance includes equipment repair and equipment replacement. After a certain interval, the maintenance completion degree of the abnormal equipment can be detected, for example: after 12 hours, check whether the abnormal equipment has resumed normal operation. When the abnormal equipment has completed the maintenance, there will be a lack of necessary performance indicator parameters and operating status parameters when the equipment is put back into operation, such as: missing approximation, delivery coefficient, unit energy efficiency, etc. In this regard, it is necessary to reset its performance indicator parameters and operating status parameters to ensure the continuity and integrity of the dynamic evaluation of the health of the overall operating status of the central air-conditioning system. In this embodiment, by obtaining the historical performance indicator parameters and status operating parameters of the same equipment in the highest priority water loop as reset values, the historical performance indicator parameters and historical operating status parameters are assigned to the equipment after the marked water loop completes maintenance. Therefore, based on the completion of maintenance of the local equipment, the performance indicator parameters and operating status parameters of the local equipment are effectively updated, thereby ensuring the continuity and integrity of the dynamic evaluation of the overall operating health of the central air-conditioning system.

[0098] In this embodiment, by obtaining the historical performance indicator parameters and status operating parameters of the same equipment in the highest priority water loop, the historical performance indicator parameters and historical operating status parameters are assigned to the equipment after the marked water loop completes maintenance. Therefore, based on the completion of maintenance of the local equipment, the performance indicator parameters and operating status parameters of the local equipment are effectively updated, thereby ensuring the continuity and integrity of the dynamic evaluation of the overall operating health of the central air-conditioning system.

[0099] In an optional embodiment, in combination Figure 4 As shown, after the above step S202, the method further includes:

[0100] Acquire a scenario operation mode of the system, where different scenario operation modes have different concerns about the device performance parameters and the operation status parameters of each device in the water loop;

[0101] Based on the different attention paid by the scenario operation mode to the device performance parameters and the operation status parameters of each device, the device performance weight coefficient and the device operation weight coefficient are adjusted.

[0102] In this embodiment, after obtaining the equipment layer weight coefficient through correlation analysis, on this basis, according to the system's scenario operation mode, since the actual focus of each project is different, the different scenario operation modes of the system correspond to different attention levels on the equipment performance and operating status of the equipment in the water loop. In this regard, the equipment layer weight coefficient can be adjusted according to the system's scenario operation mode to achieve health assessment switching under different modes.

[0103] In some examples, when the system's scenario operation mode is energy efficiency priority mode, the device layer weight coefficient corresponding to the performance indicator parameters of each device can be increased to enhance the importance of the performance indicator parameters of each device in the device health assessment. For example: the sum of the device layer weight coefficients corresponding to the performance indicator parameters of the chiller is adjusted to 0.8, and the device layer weight coefficients of the unit energy efficiency, load rate, evaporator end temperature difference, and condenser end temperature difference are adjusted to 0.5, 0.1, 0.1, and 0.1 in turn, and the device layer weight coefficients of the performance indicator parameters of the cooling tower, cooling water pump, and chilled water pump are adjusted in turn, thereby realizing energy efficiency priority mode assessment.

[0104] In other examples, when the system's scenario operation mode is the stability priority mode, the device layer weight coefficient corresponding to the operation status parameters of each device is increased to enhance the importance of the operation status parameters of each device in the device health assessment. For example: the sum of the device layer weight coefficients corresponding to the operation status parameters of each device is uniformly adjusted to 0.4, and specifically, the cumulative operation time and cumulative failure frequency device layer weight coefficients are adjusted to 0.2 and 0.2 respectively, thereby achieving the stability priority mode assessment.

[0105] In other examples, when the system's scenario operation mode is a comprehensive priority mode, the device layer weight coefficients corresponding to the performance indicator parameters and operating status parameters of each device can be adjusted to balance the importance of the performance indicator parameters and operating status parameters of each device in the device health assessment, thereby achieving a comprehensive priority mode evaluation. For example, the device layer weight coefficient of each device remains the same, thereby achieving a comprehensive priority mode evaluation.

[0106] In this embodiment, the equipment performance weight coefficient and equipment operation weight coefficient of each device are adaptively adjusted according to the scenario operation mode of the system, which can meet the different actual focuses of different projects, thereby realizing accurate dynamic evaluation of equipment health under different scenario operation modes, and is more conducive to making the optimal system operation control strategy.

[0107] According to another aspect of the embodiment of the present application, Figure 5 As shown, corresponding to the air conditioning control method based on health evaluation in the above embodiment, this embodiment provides an air conditioning control device based on health evaluation, and the device includes:

[0108] The data analysis module 501 is used to perform correlation analysis on each device in each water loop in the system to obtain the system-level weight coefficient and the device-level weight coefficient of each device;

[0109] The first evaluation module 503 is used to evaluate the health of each device in each water loop according to the performance index parameters, operating status parameters and the device layer weight coefficient to obtain the device health evaluation value of each device;

[0110] The second evaluation module 505 is used to evaluate the health of each water loop based on the device health evaluation value of each device in each water loop and the system layer weight coefficient to obtain a water loop health evaluation value of each water loop;

[0111] The operation control module 507 is used to update the operation timing of each water loop in the system based on the water loop health evaluation value of each water loop.

[0112] It should be noted that the examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the contents disclosed in the above embodiments. It should be noted that the above modules as part of the device can be run in Figure 1 In the hardware environment shown, it can be implemented by software or by hardware.

[0113] Optionally, the data analysis module 501 includes: a first acquisition submodule, used to acquire the energy consumption data of each device, and perform correlation analysis on the energy consumption data of each device in each water loop in the system based on a correlation algorithm to obtain the system layer weight coefficient of each device on each water loop; a second acquisition submodule, used to acquire the performance indicator parameters and the operating status parameters of each device in each water loop, and perform correlation analysis on the performance indicator parameters and the operating status parameters of each device on each water loop based on a correlation algorithm to obtain the device layer weight coefficient.

[0114] Optionally, the first evaluation module 503 includes: a first calculation submodule, used to determine the performance parameter ratio based on the performance indicator parameters of each device and the preset performance indicator parameter reference value, and to determine the operating parameter ratio based on the operating status parameters of each device and the preset operating status parameter reference value; a second calculation submodule, used to determine the equipment performance health value according to the performance parameter ratio of the device and the equipment performance weight coefficient, and to determine the equipment operating health value according to the operating parameter ratio of the device and the equipment operation weight coefficient; a third calculation submodule, used to calculate the equipment health evaluation value based on the equipment performance health value and the equipment operation health value of each device.

[0115] Optionally, the operation control module 507 includes: a third acquisition submodule, used to obtain the water loop health assessment value of the water loop at each acquisition node within a preset acquisition period, and perform indicator quantification based on the water loop health assessment value at each acquisition node to obtain a target health assessment value of each water loop within the preset acquisition period; a judgment submodule, used to judge whether the target health assessment value of each water loop reaches a health threshold; a water loop control submodule, used to determine the water loop priority according to the target health assessment value of each water loop if the health threshold is reached, and determine the control timing of the water loop in the system based on the water loop priority; a parameter assignment submodule, used to judge whether there is a water loop equipment abnormality and report the water loop equipment abnormality if the health threshold is not reached, and re-evaluate the health according to the abnormality handling result.

[0116] Optionally, the water loop control submodule specifically includes: a sorting subunit, used to arrange the target health assessment values ​​that reach the health threshold in order, and determine the water loop priority of each water loop; a first operation control subunit, used to start the operation of a water loop with a higher priority in the water loop priority system based on the water loop priority system if an instruction to start the system water loop is received; and a second operation control subunit, used to shut down the operation of a water loop with a lower priority in the water loop priority system if an instruction to close the system water loop is received.

[0117] Optionally, the parameter assignment submodule specifically includes: an abnormal reporting subunit, which is used to mark the abnormal water loop and report the equipment abnormality if it is determined that there is a water loop equipment abnormality; a detection subunit, which is used to detect whether the abnormal equipment has completed equipment maintenance after the equipment abnormality is reported; a parameter acquisition subunit, which is used to obtain the historical performance indicator parameters and the historical operating status parameters of the same equipment in the optimal water loop based on the water loop priority if the abnormal equipment has completed equipment maintenance; a parameter assignment subunit, which is used to assign equipment parameters to the equipment that has resumed operation through the historical performance indicator parameters and the historical operating status parameters, and re-evaluate the health of the equipment based on the assigned equipment parameters.

[0118] Optionally, the device also includes: a mode acquisition module, used to acquire the scenario operation mode of the system, different scenario operation modes have different attention to the equipment performance parameters and the operating status parameters of each device in the water loop; a weight adjustment module, used to adjust the equipment performance weight coefficient and the equipment operation weight coefficient based on the different attention paid by the scenario operation mode to the equipment performance parameters and the operating status parameters of each device.

[0119] It should be noted here that the suffixes such as module, sub-module, and sub-unit used to represent elements described in the above device are only for the convenience of description of this application and have no specific meanings themselves. Therefore, they can be used in combination.

[0120] According to another aspect of the embodiments of the present application, the present application also provides an air conditioner, which performs operation control based on the air conditioning control method of health assessment described in the above embodiments. The specific implementation method refers to the steps in the above method embodiments, and can also achieve the technical effects in the method embodiments, which will not be repeated here.

[0121] According to another aspect of the embodiment of the present application, a computer program product or a computer program is also provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the steps of the air conditioning control method based on health evaluation in any of the above embodiments.

[0122] According to another aspect of the embodiments of the present application, the present application also provides an electronic device, such as Figure 6 As shown, it includes a memory 601, a processor 603, a communication interface 605 and a communication bus 607. The memory 601 stores a computer program that can be run on the processor 603. The memory 601 and the processor 603 communicate through the communication interface 605 and the communication bus 607. When the processor 603 executes the computer program, the steps of the above-mentioned air conditioning control method based on health assessment are implemented.

[0123] The memory and processor in the above-mentioned electronic device communicate through a communication bus and a communication interface. The communication bus can be a peripheral component interconnect standard PCI bus or an extended industrial standard structure EISA bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. The memory can include a random access memory RAM, and can also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Optionally, the memory can also be at least one storage device located away from the above-mentioned processor. The above-mentioned processor can be a general-purpose processor, including a central processing unit CPU, a network processor NP, etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0124] It is understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit may be implemented in one or more application specific integrated circuits, digital signal processors, digital signal processing devices, microprocessors, and other electronic units or a combination thereof for performing the functions described herein. For software implementation, the techniques described herein may be implemented by units that perform the functions described herein. The software code may be stored in a memory and executed by a processor.

[0125] Those skilled in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0126] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0127] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, each functional unit in each embodiment of the present application may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0128] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can be essentially or partly embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as USB flash drives, mobile hard drives, ROM, RAM, magnetic disks or optical disks.

[0129] It should be noted that, in this article, relational terms such as first, second, etc. are used only to distinguish one entity or operation from another entity or operation. The terms include, comprise, or any other variation thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article, or device.

[0130] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. An air conditioning control method based on health evaluation, characterized in that: The method comprises: Conduct correlation analysis on each device in each water loop in the system to obtain the system-level weight coefficient and device-level weight coefficient of each device; Perform equipment health evaluation according to the performance index parameters, operating status parameters and equipment layer weight coefficients of each device in each water loop to obtain the equipment health evaluation value of each device; Based on the equipment health evaluation value of each device in each water loop and the system layer weight coefficient, the health evaluation of each water loop is performed to obtain a water loop health evaluation value of each water loop; The operating timing of each water loop in the system is updated based on the water loop health evaluation value of each water loop.

2. The air conditioning control method based on health assessment according to claim 1, characterized in that: The correlation analysis of each device in each water loop in the system is performed to obtain the system-level weight coefficient and the device-level weight coefficient of each device, including: Obtain energy consumption data of each device, perform correlation analysis on the energy consumption data of each device on each water loop in the system based on a correlation algorithm, and obtain the system-level weight coefficient of each device on each water loop; The performance index parameters and the operating status parameters of each device in each water loop are obtained, and the performance index parameters and the operating status parameters of each device in each water loop are respectively correlated based on the correlation algorithm to obtain the device layer weight coefficient.

3. The air conditioning control method based on health assessment according to claim 2, characterized in that: The equipment layer weight coefficient includes an equipment performance weight coefficient and an equipment operation weight coefficient. The equipment health evaluation is performed according to the performance index parameters, operation status parameters and the equipment layer weight coefficient of each equipment in each water loop, including: Determining a performance parameter ratio based on the performance indicator parameter of each device and a preset performance indicator parameter reference value, and determining an operating parameter ratio based on the operating status parameter of each device and a preset operating status parameter reference value; Determine a device performance health value according to the performance parameter ratio of the device and the device performance weight coefficient, and determine a device operation health value according to the operation parameter ratio of the device and the device operation weight coefficient; The device health evaluation value is calculated according to the device performance health value and the device operation health value of each device.

4. The air conditioning control method based on health assessment according to claim 1, characterized in that: The updating of the operating time of each water loop in the system based on the water loop health evaluation value of each water loop includes: Obtain the water loop health evaluation value of the water loop at each collection node within a preset collection period, perform indicator quantification based on the water loop health evaluation value at each collection node, and obtain the target health evaluation value of each water loop within the preset collection period; Determine whether the target health evaluation value of each water loop reaches the health threshold; If the health threshold is reached, the water loop priority is determined according to the target health evaluation value of each water loop, and the control timing of the water loop in the system is determined based on the water loop priority; If the health threshold is not reached, it is determined that there is a water loop equipment abnormality and the water loop equipment abnormality is reported, and the health assessment is re-performed based on the abnormality processing result.

5. The air conditioning control method based on health evaluation according to claim 4, characterized in that: The step of determining the water loop priority according to the water loop health evaluation value of each water loop, and determining the control timing of the water loop in the system based on the water loop priority includes: The target health evaluation values ​​reaching the health threshold are arranged in order to determine the water loop priority of each water loop; If a command to start the system water loop is received, a water loop with a higher priority in the system is controlled to start operation based on the water loop priority; If a command to close a system water loop is received, a water loop with a lower priority in the system is controlled to close based on the water loop priority.

6. The air conditioning control method based on health assessment according to claim 4, characterized in that: The determination of the presence of water loop equipment abnormality and reporting of the water loop equipment abnormality, and re-evaluation of health according to the abnormality handling result, include: If it is determined that there is an abnormality in the water loop equipment, the abnormal water loop will be marked and the equipment abnormality will be reported; Check whether the abnormal equipment has completed equipment maintenance after the abnormal equipment is reported; If the abnormal equipment completes equipment maintenance, the historical performance indicator parameters and the historical operating status parameters of the same equipment in the optimal water loop are obtained based on the water loop priority; The equipment parameters of the equipment that has resumed operation are assigned using the historical performance indicator parameters and the historical operation status parameters, and the health status is re-evaluated based on the assigned equipment parameters.

7. The air conditioning control method based on health assessment according to claim 3, characterized in that: After performing correlation analysis on the performance index parameters and the operating status parameters of each device on each water loop based on the correlation algorithm to obtain the device layer weight coefficient, the method further includes: Acquire a scenario operation mode of the system, where different scenario operation modes have different concerns about the device performance parameters and the operation status parameters of each device in the water loop; Based on the different attention paid by the scenario operation mode to the device performance parameters and the operation status parameters of each device, the device performance weight coefficient and the device operation weight coefficient are adjusted.

8. An air conditioning control device based on health evaluation, characterized in that: The device comprises: The data analysis module is used to perform correlation analysis on each device in each water loop in the system and obtain the system-level weight coefficient and device-level weight coefficient of each device; The first evaluation module is used to evaluate the health of each device in each water loop according to the performance index parameters, operating status parameters and the device layer weight coefficient to obtain the device health evaluation value of each device; A second evaluation module is used to evaluate the health of each water loop based on the device health evaluation value of each device in each water loop and the system layer weight coefficient to obtain a water loop health evaluation value of each water loop; The operation control module is used to update the operation timing of each water loop in the system based on the water loop health evaluation value of each water loop.

9. An air conditioner, characterized in that: The air conditioner is operated and controlled according to the air conditioning control method based on health evaluation according to any one of claims 1 to 7.

10. A storage medium having a non-volatile program code executable by a processor, characterized in that: The program code enables the processor to execute the air conditioning control method based on health assessment as described in any one of claims 1 to 7.

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