Control method of central air-conditioning system host, computing equipment and storage medium
By real-time calculation and adjustment of the optimal host operation combination of the central air-conditioning system, the problem of poor regulation of traditional air-conditioning systems is solved, and the system's operating efficiency and economicality are improved.
Patent Information
- Application Number
- CN202411722989.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-28
- Publication Date
- 2025-02-14
AI Technical Summary
The control scheme of traditional central air conditioning systems is not sufficient to effectively regulate the indoor environment temperature and humidity, resulting in overcooling or overheating, causing energy waste, and reducing system operation efficiency and economics.
By obtaining the operating data and load prediction data of the central air-conditioning system, the optimal host operation combination is calculated and the operating status of the air-conditioning system is adjusted in real time to optimize the temperature and humidity of the indoor environment.
It improves the regulation effect of the air conditioning system, reduces energy waste, and improves the operating efficiency and economicality of the system.
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Figure CN119436412A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent optimization control of air-conditioning systems, and in particular to a control method, computing equipment and storage medium for a host of a central air-conditioning system. Background Art
[0002] In recent years, with the rapid development of my country's economy and the improvement of people's living standards, the frequency of use of air conditioners has become increasingly higher, especially in the hot southern regions of my country; the use of large central air-conditioning systems in large buildings has become very common.
[0003] In traditional air-conditioning systems, the control scheme is mainly based on the ambient temperature and humidity and fixed operation strategy, which simply enables or shuts down the main unit in the central air-conditioning system to ensure the ambient temperature and humidity requirements; this not only leads to poor regulation of the air-conditioning system, such as overcooling or overheating, resulting in energy waste, but also reduces the operating efficiency and economy of the system.
[0004] Therefore, based on the above-mentioned shortcomings in the operation of traditional central air-conditioning systems, it is necessary to make further improvements. Summary of the invention
[0005] The purpose of the present invention is to provide a control method, computing device and storage medium for a central air-conditioning system host that is simple, highly applicable, easy to implement and highly practical, and can be controlled in real time according to the host operation data and load forecast data to overcome the shortcomings of the prior art.
[0006] A control method for a central air-conditioning system host designed for this purpose, wherein the central air-conditioning system includes at least two or more hosts, is characterized in that the control method includes the following steps:
[0007] 1) Obtaining a first set threshold, a second set threshold, central air-conditioning system operation data and parameters of each host for determining the current operation status of the central air-conditioning system;
[0008] 2) Based on the current central air-conditioning system operation data and operation status, calculate and obtain the first priority ranking combination D1;
[0009] 3) Obtain the predicted load Ps of the central air-conditioning system at the next moment;
[0010] 4) Based on the current operating status of the central air-conditioning system, the first priority ranking combination D1 and the predicted load Ps, the second priority ranking combination D2 is calculated;
[0011] 5) According to the second priority ranking combination D2, the optimal host operation combination S of the central air conditioner at the next moment is calculated, and a control instruction is issued to the current central air conditioning system and related programs are executed.
[0012] In step 1), the host parameters include rated power, rated cooling capacity, operating time and energy efficiency ratio data of all hosts.
[0013] In step 2), the central air-conditioning system operation data includes the inlet and outlet water temperatures of the chilled water main of the current central air-conditioning system, the operating host combination, the power and load rate of the operating host.
[0014] In step 1), the method for determining the current operating state of the central air-conditioning system includes:
[0015] Based on the current central air-conditioning system operation data obtained, the arithmetic average load rate η of the running chillers and the inlet and outlet water temperature difference ΔT of the central air-conditioning system chilled water main pipe are calculated;
[0016] If the arithmetic average load rate η of the running chillers is greater than or equal to the first set threshold, and the temperature difference ΔT of the inlet and outlet water of the chilled water main is greater than or equal to the second set threshold, the current operation state of the central air-conditioning system is in the first operation state;
[0017] If the arithmetic average load rate η of the running chillers is less than the first set threshold, and the temperature difference ΔT of the inlet and outlet water of the chilled water main is less than the second set threshold, the current operation state of the central air-conditioning system is in the second operation state;
[0018] If the current central air-conditioning system does not belong to the above two operating states, it is in the third operating state.
[0019] In step 1), the first set threshold value is 60% to 80%, and the second set threshold value is 5°C to 6°C.
[0020] In step 2), the first priority ranking combination D1 includes:
[0021] Eliminate hosts that fail the test, and then rank all hosts according to their rated cooling capacity. If there are hosts with the same rated cooling capacity, rank them according to the energy efficiency ratio parameter from large to small. On this basis, if there are hosts with the same energy efficiency ratio parameter, rank them according to the running time parameter from small to large.
[0022] Finally, a group of host combinations in ascending order of total cooling capacity is obtained, which is the first priority sorting combination D1.
[0023] In step 4), the calculation to obtain the second priority ranking combination D2 includes:
[0024] When the central air-conditioning system is in the first operating state, if the predicted load Ps is greater than the total cooling capacity of the hosts running in the current air-conditioning system, the host combinations whose total cooling capacity is less than or equal to the predicted load Ps in the first priority sorting combination are eliminated to obtain the second priority sorting combination D2, otherwise the second priority sorting combination D2 is empty;
[0025] When the central air-conditioning system is in the second operating state, if the predicted load Ps is less than the total cooling capacity of the hosts running in the current air-conditioning system, the host combinations whose total cooling capacity is greater than or equal to the predicted load Ps in the first priority sorting combination are eliminated to obtain the second priority sorting combination D2, otherwise the second priority sorting combination D2 is empty;
[0026] When the central air-conditioning system is in the third operating state, the second priority ranking combination D2 is empty.
[0027] In step 5), the optimal host operation combination S includes:
[0028] If the host combination result in the second priority ranking combination D2 is empty (N=0), the current central air-conditioning system host operation combination is the best host operation combination S;
[0029] If there is only one host combination result (N=1) in the second priority ranking combination D2, then this host combination is the best host operation combination S;
[0030] If there are 2 or more host combination results in the second priority sorting combination D2 (N≥2); when the central air-conditioning system is in the first operating state, the best host operation combination S is the first host combination in the second priority sorting combination D2; when the central air-conditioning system is in the second operating state, the best host operation combination S is the last host combination in the second priority sorting combination D2.
[0031] A computing device designed for this purpose is characterized by comprising at least one first processor and a memory, wherein the first processor is used to execute the control method of the central air-conditioning system host, and the memory is used to store instructions executable by the first processor.
[0032] A storage medium readable by a computing device is designed for this purpose, wherein the storage medium stores a computer program code, and wherein the computer program code executes the control method of the central air-conditioning system host as described in any one of claims 1-8 when being executed.
[0033] The control method of the host of the central air-conditioning system of the present invention can combine the relevant parameters and operating data in the air-conditioning system to calculate the optimal host operation combination to ensure that the indoor environment temperature and humidity are suitable and the host is in good operating condition under the current operation of the air-conditioning system, while improving the regulation effect of the air-conditioning system, reducing energy waste, and improving the operating efficiency and economy of the air-conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 The present invention is a flowchart of a control method for a central air conditioning system host in one embodiment of the present invention.
[0035] Figure 2 Schematic diagram of a control system of a method for controlling a host of an air-conditioning system in one embodiment of the present invention.
[0036] Figure 3 The present invention is a flowchart of an exemplary method for determining the current operating status of a central air-conditioning system according to an embodiment of the present invention.
[0037] Figure 4 The present invention is a flowchart of an exemplary method for determining an optimal host operation combination according to an embodiment of the present invention.
[0038] Figure 5 The figure is a schematic diagram of the structure of an electronic device for implementing the present invention in one embodiment of the present invention. DETAILED DESCRIPTION
[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0040] See also Figure 1-Figure 5 The control method of the host of the central air-conditioning system, the central air-conditioning system 10 includes at least two hosts, and the control method includes the following steps:
[0041] 1) Obtaining a first set threshold value, a second set threshold value, operating data of the central air-conditioning system 10 and parameters of each host for determining the current operating state of the central air-conditioning system 10;
[0042] 2) Based on the current operation data and operation status of the central air conditioning system 10, a first priority ranking combination D1 is calculated;
[0043] 3) Obtain the predicted load Ps of the central air conditioning system 10 at the next moment;
[0044] 4) Based on the current operating state of the central air-conditioning system 10, the first priority ranking combination D1 and the predicted load Ps, a second priority ranking combination D2 is calculated;
[0045] 5) According to the second priority ranking combination D2, the optimal host operation combination S of the central air conditioner at the next moment is calculated, and a control instruction is issued to the current central air conditioning system 10, and related programs are executed.
[0046] In step 1), the host parameters include rated power, rated cooling capacity, operating time and energy efficiency ratio data of all hosts.
[0047] In step 2), the operation data of the central air-conditioning system 10 includes the inlet and outlet water temperatures of the chilled water main of the current central air-conditioning system 10, the combination of operating hosts, the power and load rate of the operating hosts.
[0048] In step 1), the first set threshold value is 60% to 80%, and the second set threshold value is 5°C to 6°C. In this embodiment, the first set threshold value is 80%, and the second set threshold value is 5°C.
[0049] like Figure 2 As shown, Figure 2 A control system 200 is provided for controlling a host of a central air-conditioning system 10. The control system 200 includes a central air-conditioning system 10, a communication device 20 and a computer device 30. The central air-conditioning system 10 is used to adjust indoor temperature and humidity. The computer device 30 controls the operation of the host of the central air-conditioning system 10 through the communication device 20. For example, the computer device 30 may be a cloud server. It should be noted that, for ease of explanation, the cooling mode of the central air-conditioning system 10 is taken as an example in the present disclosure, but this is not a limitation of the present disclosure.
[0050] The computing device includes at least one first processor 31 and a memory 32. The first processor 31 is used to execute the control method of the host of the central air-conditioning system 10, and the memory 32 is used to store instructions 33 executable by the first processor 31. The computing device of this embodiment is a computer device 30.
[0051] The central air conditioning system 10 includes multiple hosts for controlling the temperature and humidity of the indoor environment. The communication device 20 is used for data transmission; the first processor 31 is coupled to the memory 32, and the memory 32 stores instructions 33 that can be executed by the at least one first processor 31. When the instructions 33 are executed by the at least one first processor 31, the computer device 30 executes the following method (i.e. Figure 3 At least a portion of an exemplary method for determining the current operating status of a central air conditioning system.
[0052] Figure 3 An exemplary method of determining the current operating status of a central air conditioning system is as follows: Figure 2 The computer device 30 in the system 200 shown in the figure may also be executed by Figure 5The electronic device 500 shown performs.
[0053] Specifically, according to Figure 3 In the process (process 301-308), in step 1), the process for determining the current operating state of the central air conditioning system 10 includes:
[0054] Based on the current operating data of the central air-conditioning system 10 obtained, the arithmetic average load rate η of the operating chillers and the inlet and outlet water temperature difference ΔT of the chilled water main pipe of the central air-conditioning system 10 are calculated;
[0055] If the arithmetic average load rate η of the running chillers is greater than or equal to the first set threshold, and the temperature difference ΔT of the inlet and outlet water of the chilled water main is greater than or equal to the second set threshold, the current operation state of the central air-conditioning system 10 is in the first operation state;
[0056] If the arithmetic average load rate η of the running chillers is less than the first set threshold, and the temperature difference ΔT of the inlet and outlet water of the chilled water main is less than the second set threshold, the current operation state of the central air-conditioning system 10 is in the second operation state;
[0057] If the current central air-conditioning system 10 does not belong to the above two operating states, it is in the third operating state.
[0058] exist Figure 3 In the example shown, for example, the current operating hosts in the central air-conditioning system 10 are 1# and 2#, and the inlet and outlet water temperatures of the chilled water main of the current central air-conditioning system 10 are T1 and T2 respectively; the load rates of the operating hosts 1# and 2# are η1 and η2 respectively; the powers of the operating hosts 1# and 2# are P1 and P2 respectively; the inlet and outlet water temperature difference of the chilled water of the central air-conditioning system ΔT = |T1-T2|, and the arithmetic average load rate of the current operating hosts 1# and 2# in the central air-conditioning system 10 is η = (η1×P1+η2×P2)÷(P1+P2).
[0059] It should be noted that, in the embodiment of the present disclosure, if the current operating host in the central air-conditioning system 10 lacks a load rate parameter, the ratio of the current operating power of the host to the rated power may be used instead of the load rate parameter for calculation.
[0060] exist Figure 3In the example shown, if the arithmetic average load rate η of the running host is greater than or equal to the first set threshold, and the inlet and outlet water temperature difference ΔT of the chilled water main is greater than or equal to the second set threshold, then the current operating state of the central air-conditioning system 10 is in the first operating state; if the arithmetic average load rate η of the running cold water host is less than the first set threshold, and the inlet and outlet water temperature difference ΔT of the chilled water main is less than the second set threshold, then the current operating state of the central air-conditioning system is in the second operating state; if the current central air-conditioning system 10 does not belong to the above two categories, it is in the third operating state.
[0061] In the above step 2), based on the current operating state and operating data of the central air-conditioning system 10, a first priority ranking combination D1 is calculated.
[0062] In step 2), the first priority ranking combination D1 includes:
[0063] Eliminate hosts that fail the test, and then rank all hosts according to their rated cooling capacity. If there are hosts with the same rated cooling capacity, rank them according to the energy efficiency ratio parameter from large to small. On this basis, if there are hosts with the same energy efficiency ratio parameter, rank them according to the running time parameter from small to large.
[0064] Finally, a group of host combinations in ascending order of total cooling capacity is obtained, which is the first priority sorting combination D1.
[0065] Regarding the detection of all hosts, the detection parameters include the power and load rate of the hosts currently running in the central air-conditioning system 10; regarding the monitoring of the power and load rate parameters of the hosts currently running in the central air-conditioning system 10, the safe and stable operation of the central air-conditioning system 10 can be further ensured.
[0066] exist Figure 2 In the example, for example, the capacity P, energy efficiency ratio and operating time of the first host 11 in the central air-conditioning system 10 are 1000kW, 5.6, and 200h respectively, and are numbered 1#; the capacity P of the second host 12, the third host 13, and the fourth host 14 are all 1500kW, and their energy efficiency ratios are 5.6, 5.6, and 5.8 respectively, and their operating times are 800h, 600h, and 1000h respectively, and are numbered 2#, 3#, and 4# respectively.
[0067] It should be noted that, in the embodiment of the present disclosure, the first priority ranking combination D1 and the second priority ranking combination D2 refer to the combination of each host number in the central air-conditioning system 10 and its total cooling capacity.
[0068] For example, when the host operation combination in the current central air-conditioning system 10 is host #1 and there are no problems with the detection of other hosts, according to the sorting rules, the first priority sorting combination D1 is [1#, 4#, 3#, 2#, 1# and 4#, 1# and 3#, 1# and 2#, 3# and 4#, 2# and 4#, 2# and 3#, 1# and 3# and 4#, 1# and 2# and 4#, 1# and 2# and 3#, 2# and 3# and 4#, 1# and 2# and 3#, 4# and 1# and 2# and 3#], and there are 15 host operation combinations. The total cooling capacity of the host combinations in the first priority sorting combination are [1000kW, 1500kW, 1500kW, 1500kW, 2500kW, 2500kW, 2500kW, 3000kW, 3000kW, 4000kW, 4000kW, 4000kW, 4500kW, 5500kW].
[0069] In the above step 3), the predicted load Ps at the next moment is obtained.
[0070] like Figure 2 As shown, the computer device 30 can obtain the predicted load Ps (in kW) of the central air conditioning system 10 at the next moment based on the air conditioning terminal load or the central air conditioning system cooling capacity prediction model; for example, the load prediction model can be obtained by training and learning through ensemble learning, neural network and other models. It should be noted that the method of obtaining the predicted load depends on the actual situation, and the embodiments of the present disclosure are not limited to this.
[0071] Specifically, in step 4), the calculation to obtain the second priority ranking combination D2 includes:
[0072] When the central air-conditioning system 10 is in the first operating state, if the predicted load Ps is greater than the total cooling capacity of the hosts running in the current air-conditioning system, the host combinations whose total cooling capacity is less than or equal to the predicted load Ps in the first priority sorting combination are eliminated to obtain the second priority sorting combination D2, otherwise the second priority sorting combination D2 is empty;
[0073] When the central air-conditioning system 10 is in the second operating state, if the predicted load Ps is less than the total cooling capacity of the hosts running in the current air-conditioning system, the host combinations whose total cooling capacity is greater than or equal to the predicted load Ps in the first priority sorting combination are eliminated to obtain the second priority sorting combination D2, otherwise the second priority sorting combination D2 is empty;
[0074] When the central air-conditioning system 10 is in the third operating state, the second priority ranking combination D2 is empty.
[0075] For example, in one example, the predicted load Ps of the current central air-conditioning system 10 at the next moment is 2800kW. When the current central air-conditioning system is in the first operating state, the host combination whose total cooling capacity is less than or equal to the predicted load Ps in the first priority sorting combination is eliminated; Figure 2 In the example described, the first priority sorting combination D1 = [1#, 4#, 3#, 2#, 1# and 4#, 1# and 3#, 1# and 2#, 3# and 4#, 2# and 4#, 2# and 3#, 1# and 3# and 4#, 1# and 2# and 4#, 1# and 2# and 3#, 2# and 3# and 4#, 1# and 2# and 3# and 4#], then the second priority sorting combination D2 = [3# and 4#, 2# and 4#, 2# and 3#, 1# and 3# and 4#, 1# and 2# and 4#, 1# and 2# and 3#, 2# and 3# and 4#, 1# and 2# and 3# and 4#].
[0076] In the above step 5), the best host operation combination S of the central air conditioner at the current moment is selected.
[0077] Specifically, in step 5), the optimal host operation combination S includes:
[0078] If the host combination result in the second priority ranking combination D2 is empty (N=0), the current host operation combination of the central air-conditioning system 10 is the best host operation combination S;
[0079] If there is only one host combination result (N=1) in the second priority ranking combination D2, then this host combination is the best host operation combination S;
[0080] If there are 2 or more host combination results in the second priority sorting combination D2 (N≥2); when the central air-conditioning system 10 is in the first operating state, the best host operation combination S is the first host combination in the second priority sorting combination D2; when the central air-conditioning system 10 is in the second operating state, the best host operation combination S is the last host combination in the second priority sorting combination D2.
[0081] Figure 4 A flowchart of an exemplary method for determining an optimal host operation combination provided in this embodiment; the method can be Figure 2 The computer device 30 in the system 200 shown in FIG. 1 may also be executed by Figure 5 The electronic device 500 shown executes; it should be understood that the method may also include additional blocks not shown and / or the blocks shown may be omitted, and the scope of the present disclosure is not limited in this respect.
[0082] For example, in one example, the second priority ranking combination D2 = [3# and 4#, 2# and 4#, 2# and 3#, 1# and 3# and 4#, 1# and 2# and 4#, 1# and 2# and 3#, 2# and 3# and 4#, 1# and 2# and 3#, 2# and 3# and 4#, 1# and 2# and 3# and 4#], and the current central air-conditioning system 10 is in the first operating state; Figure 4 As shown in the flow chart (steps 401 to 407), step 402 determines the number of host combinations N in the current second priority sorting combination D2, N = 8, then proceeds to step 404, the current central air-conditioning system is in the first operating state, then proceeds to step 405, the best operating host combination S is the first host combination in the second priority sorting combination D2, that is, the best host operating combination S = [3# and 4#], and then it is sent to the current central air-conditioning system.
[0083] Or, if Figure 2 The computer device 30 shown can be replaced by an electronic device 500, which includes one or more second processors 501 and a storage unit 503; the second processor 501 can be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the electronic device 500 to perform desired functions; the storage unit 503 can include one or more computer program products, and the computer program product can include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory; the volatile memory can include, for example, a random access memory (RAM) and / or a cache memory (Cache), etc.; the non-volatile memory can include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc.; one or more computer program instructions can be stored on the computer-readable storage medium, and the second processor 501 can run the program instructions to implement the control method of the central air-conditioning system host of any embodiment of the present invention described above and / or other desired functions; various contents such as initial external parameters, thresholds, etc. can also be stored in the computer-readable storage medium.
[0084] In addition, the electronic device 500 also includes: an input unit 502 and an output unit 505, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown in the figure); the input unit 502 may include, for example, a keyboard, a mouse, etc.; the output unit 505 can output various information to the outside, and the output unit 505 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output device, etc.; and a communication unit 504, such as a network card, a modem, a wireless communication transceiver, etc.; the communication unit 504 allows the electronic device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks; the second processor 501, the storage unit, the communication unit, the input unit and the output unit of the electronic device can be connected through a bus or other means.
[0085] Of course, to simplify, Figure 5 Only some of the components related to the present embodiment in the electronic device 500 are shown, and components such as a bus, an input / output interface, etc. are omitted; in addition, the electronic device 500 may also include any other appropriate components according to specific application scenarios.
[0086] The present disclosure relates to methods, apparatuses, systems, electronic devices, computer-readable storage media and / or computer program products; the computer program products may include computer-readable program instructions for executing various aspects of the present disclosure.
[0087] A storage medium readable by a computing device, wherein the storage medium is a computer-readable storage medium, wherein the storage medium stores computer program code, namely computer-readable program instructions (i.e., computer program), and the computer program code executes the control method of the host of the central air-conditioning system 10 when being executed.
[0088] The present storage medium may be a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above; more specific examples of the present storage medium may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), a memory stick, an optical storage device, a magnetic storage device, or any suitable combination of the above; in the present embodiment, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in conjunction with an instruction execution system, system or device; the program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: radio waves, wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.
[0089] The computer-readable program instructions described herein may be written in one or more programming languages or a combination thereof as computer program codes for performing the operations of the present application, including Java, Python, C++, and C or similar programming languages; the program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server; in the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network or a wide area network, or may be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0090] These computer-readable program instructions can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device through a network, such as the Internet, a local area network, a wide area network and / or a wireless network; the network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers and / or edge computing devices; the network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.
[0091] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or code, and the part of this module, program segment or code includes one or more executable instructions for realizing the logical function of the specification. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be realized by a special hardware-based system that performs the function or operation of the specification, or can be realized by a combination of special hardware and computer instructions.
[0092] It should be noted that the descriptions involving "first", "second", etc. in the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method or device including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also includes elements inherent to such process, method or device. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.
[0094] The above is a preferred embodiment of the present invention, which shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for illustrating the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention, and these changes and improvements fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.
Claims
1. A control method for a host of a central air-conditioning system, wherein the central air-conditioning system (10) comprises at least two hosts, characterized in that: The control method comprises the following steps: 1) obtaining a first set threshold value, a second set threshold value, operating data of the central air conditioning system (10) and parameters of each host for determining the current operating state of the central air conditioning system (10); 2) Based on the current operation data and operation status of the central air conditioning system (10), a first priority ranking combination D1 is calculated; 3) Obtain the predicted load Ps of the central air conditioning system (10) at the next moment; 4) Based on the current operating state of the central air conditioning system (10), the first priority ranking combination D1 and the predicted load Ps, a second priority ranking combination D2 is calculated; 5) According to the second priority ranking combination D2, the optimal host operation combination S of the central air conditioner at the next moment is calculated, and a control instruction is issued to the current central air conditioning system (10) and related programs are executed.
2. The control method of the central air conditioning system host according to claim 1, characterized in that: In step 1), the host parameters include rated power, rated cooling capacity, operating time and energy efficiency ratio data of all hosts.
3. The control method of the central air conditioning system host according to claim 1, characterized in that: In step 2), the operating data of the central air-conditioning system (10) includes the inlet and outlet water temperatures of the chilled water main of the current central air-conditioning system (10), the operating host combination, the power and load rate of the operating host.
4. The control method of the central air conditioning system host according to claim 1, characterized in that: In step 1), the method for determining the current operating state of the central air-conditioning system (10) includes: Based on the obtained current operation data of the central air-conditioning system (10), the arithmetic average load rate η of the operating chiller and the inlet and outlet water temperature difference ΔT of the chilled water main pipe of the central air-conditioning system (10) are calculated; If the arithmetic average load rate η of the running chiller is greater than or equal to a first set threshold value, and the temperature difference ΔT of the inlet and outlet water of the chilled water main is greater than or equal to a second set threshold value, then the current operation state of the central air-conditioning system (10) is in the first operation state; If the arithmetic average load rate η of the running chiller is less than the first set threshold value, and the temperature difference ΔT of the inlet and outlet water of the chilled water main is less than the second set threshold value, then the current operation state of the central air-conditioning system (10) is in the second operation state; If the current central air-conditioning system (10) does not belong to the above two operating states, it is in the third operating state.
5. The control method of the central air conditioning system host according to claim 1, characterized in that: In step 1), the first set threshold value is 60% to 80%, and the second set threshold value is 5°C to 6°C.
6. The control method of the central air conditioning system host according to claim 1, characterized in that: In step 2), the first priority ranking combination D1 includes: Eliminate hosts that fail the test, and then rank all hosts according to their rated cooling capacity. If there are hosts with the same rated cooling capacity, rank them according to the energy efficiency ratio parameter from large to small. On this basis, if there are hosts with the same energy efficiency ratio parameter, rank them according to the running time parameter from small to large. Finally, a group of host combinations in ascending order of total cooling capacity is obtained, which is the first priority sorting combination D1.
7. The control method of the central air conditioning system host according to claim 4, characterized in that: In step 4), the calculation to obtain the second priority ranking combination D2 includes: When the central air-conditioning system (10) is in a first operating state, if the predicted load Ps is greater than the total cooling capacity of the hosts running in the current air-conditioning system, the host combinations whose total cooling capacity is less than or equal to the predicted load Ps in the first priority ranking combination are eliminated to obtain a second priority ranking combination D2, otherwise the second priority ranking combination D2 is empty; When the central air-conditioning system (10) is in the second operating state, if the predicted load Ps is less than the total cooling capacity of the hosts running in the current air-conditioning system, the host combinations whose total cooling capacity is greater than or equal to the predicted load Ps in the first priority ranking combination are eliminated to obtain the second priority ranking combination D2, otherwise the second priority ranking combination D2 is empty; When the central air-conditioning system (10) is in the third operating state, the second priority ranking combination D2 is empty.
8. The control method of the central air conditioning system host according to claim 7, characterized in that: In step 5), the optimal host operation combination S includes: If the host combination result in the second priority ranking combination D2 is empty, then the current host operation combination of the central air conditioning system (10) is the best host operation combination S; If there is only one host combination result in the second priority ranking combination D2, then this host combination is the best host operation combination S; If there are two or more host combination results in the second priority sorting combination D2; when the central air-conditioning system (10) is in the first operating state, the best host operating combination S is the first host combination in the second priority sorting combination D2; when the central air-conditioning system (10) is in the second operating state, the best host operating combination S is the last host combination in the second priority sorting combination D2.
9. A computing device, characterized in that: The invention comprises at least one first processor (31) and a memory (32), wherein the first processor (31) is used to execute the control method of the central air-conditioning system host as described in any one of claims 1 to 8, and the memory (32) is used to store instructions (33) executable by the first processor (31).
10. A storage medium readable by a computing device according to claim 9, wherein the storage medium stores computer program code, characterized in that: When the computer program code is executed, the control method of the central air-conditioning system host as described in any one of claims 1 to 8 is executed.