Air conditioner energy-saving control method and system

Abstract

The present invention discloses an air conditioner energy-saving control method and system, relating to the technical field of intelligent control. The method includes: configuring temperature thresholds by time periods to control the start and stop of the target air conditioner; dividing the target area, calculating the regional load as the target air conditioner starts, and determining the real-time load value; collecting the frequency conversion control domain of the target air conditioner; determining the initial control parameters based on the real-time load value; combining the frequency conversion control domain, adjusting and optimizing the initial control parameters based on the regional simulation model to determine the target control parameters; transmitting the target control parameters to the central control system, determining the synchronous braking parameters, and performing regionalized variable-frequency energy-saving control on the target air conditioner based on the synchronous braking parameters. The present invention solves the technical problems in the prior art that due to unreasonable control methods, the air conditioner has high energy consumption and short service life, and achieves the technical effect of reducing the energy consumption of the air conditioner and extending its service life by performing point-to-point control on air conditioners in different areas.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and particularly to an air-conditioning energy-saving control method and system. Background Art

[0002] At present, the control methods of central air-conditioning systems basically adopt the traditional constant-flow control method, that is, the chilled water flow rate, cooling water flow rate and cooling tower fan air volume of the air conditioner are all constant. The advantages of this control method are that the system is simple and does not require complex automatic control equipment, but there are still problems such as energy waste, frequent failures and short air-conditioning life. Summary of the Invention

[0003] This application provides an air-conditioning energy-saving control method and system, which are used to solve the technical problems in the prior art that due to unreasonable control methods, the air-conditioning has high energy consumption and short service life.

[0004] In the first aspect of this application, an air-conditioning energy-saving control method is provided. The method includes: configuring temperature thresholds by time period, and performing start-stop control of the target air conditioner based on the temperature thresholds; dividing the target area, and with the start of the target air conditioner, calculating the regional load based on the regional division result to determine the real-time load value, where the real-time load value corresponds one-to-one with the regional division result and refers to the cooling load or heating load; collecting the variable-frequency control domain of the target air conditioner; determining the initial control parameters based on the real-time load value; combining the variable-frequency control domain, adjusting and optimizing the initial control parameters based on the regional simulation model to determine the target control parameters, where the target control parameters correspond one-to-one with the target air conditioner; transmitting the target control parameters to the central control system to determine the synchronous braking parameters, where the synchronous braking parameters are used to perform synchronous braking control according to the regional division result; and performing regional variable-frequency energy-saving control on the target air conditioner based on the synchronous braking parameters.

[0005] In the second aspect of the present application, an air conditioner energy-saving control system is provided. The system includes: an air conditioner start-stop control module for configuring temperature thresholds by time periods and controlling the start and stop of the target air conditioner based on the temperature thresholds; a real-time load value determination module for dividing the target area, calculating the area load based on the area division result as the target air conditioner starts, and determining the real-time load value, where the real-time load value corresponds one-to-one with the area division result and represents the cooling load or the heating load; a variable-frequency control domain acquisition module for acquiring the variable-frequency control domain of the target air conditioner; an initial control parameter determination module for determining the initial control parameters based on the real-time load value; a target control parameter determination module for adjusting and optimizing the initial control parameters based on the area simulation model in combination with the variable-frequency control domain to determine the target control parameters, where the target control parameters correspond one-to-one with the target air conditioner; a synchronous braking parameter determination module for transmitting the target control parameters to the central control system to determine the synchronous braking parameters, where the synchronous braking parameters are used for synchronous braking control according to the area division result; and a regional variable-frequency energy-saving control module for performing regional variable-frequency energy-saving control on the target air conditioner based on the synchronous braking parameters. One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0006] The air conditioner energy-saving control method provided in the present application relates to the technical field of intelligent control. By configuring temperature thresholds by time periods, it controls the start and stop of the target air conditioner; divides the target area, calculates the area load as the target air conditioner starts, and determines the real-time load value; acquires the variable-frequency control domain of the target air conditioner; determines the initial control parameters based on the real-time load value; adjusts and optimizes the initial control parameters based on the area simulation model in combination with the variable-frequency control domain to determine the target control parameters; transmits the target control parameters to the central control system to determine the synchronous braking parameters, and performs regional variable-frequency energy-saving control on the target air conditioner based on the synchronous braking parameters. It solves the technical problems in the prior art that due to unreasonable control methods, the air conditioner has high energy consumption and short service life, and realizes the technical effect of reducing the air conditioner energy consumption and extending the service life by performing point-to-point control on the air conditioners in different areas. Description of the Drawings

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0008] Figure 1 Schematic diagram of the air conditioner energy-saving control method provided by the embodiment of the present application;

[0009] Figure 2 Schematic diagram of the process for determining the target control parameters in the air conditioner energy-saving control method provided by the embodiment of the present application;

[0010] Figure 3 Schematic diagram of the process for obtaining N groups of adjusted control parameters in the air conditioner energy-saving control method provided by the embodiment of the present application;

[0011] Figure 4 Schematic diagram of the structure of the air conditioner energy-saving control system provided by the embodiment of the present application.

[0012] Explanation of reference numerals: Air conditioner start-stop control module 11, real-time load value determination module 12, variable frequency control domain acquisition module 13, initial control parameter determination module 14, target control parameter determination module 15, synchronous braking parameter determination module 16, regional variable frequency energy-saving control module 17. Specific implementation manners

[0013] The present application provides an air conditioner energy-saving control method, which is used to solve the technical problems of high air conditioner energy consumption and short service life caused by unreasonable control methods in the prior art.

[0014] Next, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0015] It should be noted that the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above accompanying drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices.

[0016] Embodiment 1

[0017] As Figure 1 shown, the present application provides an air conditioner energy-saving control method, and the method includes:

[0018] S100: Configure temperature thresholds in time periods, and perform start-stop control of the target air conditioner based on the temperature thresholds;

[0019] Specifically, temperature control nodes are divided according to different seasonal periods, and corresponding temperature thresholds are set for different periods. For example, when dividing nodes by quarter, it can be roughly divided into the cooling period in summer and the heating period in winter, or when dividing by the temperature change in a day, such as the highest temperature on a certain day in summer is at 2 pm. Set the high-temperature threshold in summer according to the local highest temperature in summer. Based on the high-temperature threshold in summer, the cooling load can be calculated. Set the low-temperature threshold in winter according to the local lowest temperature in winter, and calculate the corresponding heating load. Then, calculate the cooling / heating time according to the cooling / heating efficiency of the target air conditioner, and control the start and stop of the target air conditioner.

[0020] S200: Divide the target area. As the target air conditioner starts, based on the area division result, calculate the area load to determine the real-time load value. The real-time load value corresponds one-to-one with the area division result and represents the cooling load or the heating load.

[0021] Specifically, divide the cooling / heating area according to the size of the target area, the building usage function, etc. As the target air conditioner starts, based on the area division result, calculate the load of each area respectively to determine the real-time load value of each area. The real-time load value corresponds one-to-one with each area in the area division result and can be the cooling load or the heating load. The real-time load value can be used to determine the initial control parameters of the target air conditioner.

[0022] Furthermore, step S200 of the embodiment of the present application further includes:

[0023] S210: Based on the local sensing device, collect multi-source heat / cooling loads to determine the regional sensing data, and the regional sensing data carries the acquisition source identifier.

[0024] S220: Identify the acquisition source identifier, regularize and sum the regional sensing data to determine the multi-source heat / cooling load value.

[0025] S230: Based on the multi-source heat / cooling load value, traverse the area division result to perform regionalized space load calculation to obtain the real-time load value.

[0026] Furthermore, step S200 of the embodiment of the present application further includes:

[0027] S231: Obtain the load calculation formula:

[0028]

[0029] where q is the cooling / heating index, S is the area of the region, and ε i is the configuration weight value of different heat / cooling load sources, and f i-1Here, \(q\) is the heterogeneous associated heat / cold load value, and \(n\) is the number of load source types.

[0030] Specifically, local sensing devices such as temperature sensors, humidity sensors, thermometers, etc. are installed in each divided area. Multi-source heat / cold load collection for each area is carried out through the local sensing devices. The multi-source heat / cold load refers to loads from different sources. For example, the heat dissipation of equipment causes an increase in the air-conditioning cooling load. The regionalized sensing data for each area is determined. The regionalized sensing data carries a collection source identifier, which can be used to distinguish the source of each sensing data. Identify the collection source identifier of each piece of regionalized sensing data, sum up the sensing data from the same collection source, determine the multi-source heat / cold load value. Based on the multi-source heat / cold load value, traverse each area in the area division result to perform regionalized spatial load calculation, and calculate the real-time load value corresponding to each divided area. The load calculation formula can be: where \(q\) is the heat / cold index, \(S\) is the area of the region, \(\epsilon\) i is the configuration weight value of different heat / cold load sources, \(f\) i-1 is the heterogeneous associated heat / cold load value. For example: cooling load - lighting heat dissipation, equipment heat dissipation, human body heat dissipation, external environment heat conduction of materials, etc. \(n\) is the number of load source types. The real-time load value can be used to determine the initial control parameters of the target air conditioner.

[0031] S300: Collect the frequency conversion control range of the target air conditioner;

[0032] Specifically, through the equipment nameplate of the target air conditioner, collect the frequency conversion regulation range of the target air conditioner. Air conditioner frequency conversion is to install an inverter on the structure of a fixed-frequency air conditioner and add a fuzzy control technology, so that the power supply frequency of the air conditioner compressor can be changed, and the rotation speed frequency of the air conditioner can also be changed, making the air conditioner more energy-efficient, quieter, and more accurate in temperature control. The frequency conversion control range includes the adjustable intervals of the air conditioner compressor speed, displacement, air speed, etc. It mainly focuses on the regulation of the compressor speed and displacement, and other air speeds, etc. are auxiliary, which can be used as reference data for subsequent control parameter optimization.

[0033] S400: Determine the initial control parameters based on the real-time load value;

[0034] Specifically, determine the initial control parameters of the target air conditioner for each area based on the real-time load value. The initial control parameters include the air speed, air direction, compressor speed, compressor displacement, temperature value, etc. of the air conditioner. By controlling parameters such as the air speed, air direction, and compressor speed of the air conditioner, the requirements of the real-time load value are met. The initial control parameters can be used as the basic data for subsequent determination of the target control parameters.

[0035] S500: Combine with the variable-frequency control domain, adjust and optimize the initial control parameters based on the regional simulation model, and determine the target control parameters, where the target control parameters correspond one-to-one with the target air conditioners;

[0036] Specifically, combine with the adjustable ranges of the air conditioner parameters in the variable-frequency control domain, use virtual simulation technology to simulate air conditioner control, based on the effect of using the initial control parameters for air conditioner control within the regional simulation model, find the entry points where the air conditioner control parameters can be optimized, adjust the initial control parameters based on these optimization entry points, and screen out the optimal adjusted parameters as the target control parameters. The target control parameters correspond one-to-one with the target air conditioners, and each set of target control parameters corresponds to one target air conditioner. The target control parameters can be used to determine the synchronous braking parameters of the target air conditioners subsequently.

[0037] Further, as Figure 2 shown, step S500 of the embodiment of the present application further includes:

[0038] S510: Perform 3D simulation of the building structure of the target area to construct a regional simulation model;

[0039] S520: Combine with the distribution positions of the target air conditioners, and determine the spatial fluid circulation situation based on the initial control parameters;

[0040] S530: Based on the spatial fluid circulation situation, combine with the variable-frequency control domain, perform air conditioner control adjustment, and obtain N sets of adjusted control parameters;

[0041] S540: Proofread and screen the N sets of adjusted control parameters to determine the target control parameters.

[0042] Specifically, obtain the building structure drawings of the target area, based on the building structure drawings, use 3D modeling software such as 3DMax and Revit to construct a regional simulation model, combine with the distribution positions of the target air conditioners in each area, arrange air conditioner points in the regional simulation model, and set the parameters of each air conditioner point according to the initial control parameters. Then, perform air conditioner circulation simulation by simulation analysis software to determine the spatial fluid circulation situation, that is, the flow trend and range of cold / hot air in the target area. Based on the spatial fluid circulation situation, determine the overlapping range of temperature control for adjacent air conditioners, combine with the variable-frequency control domain, adjust the air conditioner control range by adjusting the air conditioner parameters, and obtain N sets of adjusted control parameters. Each set of adjusted control parameters includes a set of control parameters corresponding to each target air conditioner. Through energy consumption calculation, proofread and screen the N sets of adjusted control parameters, and retain the set of control parameters with the lowest energy consumption as the target control parameters. The target control parameters can be used to determine the synchronous braking parameters of the target air conditioners subsequently.

[0043] Further, as Figure 3 shown, step S530 of the embodiment of the present application further includes:

[0044] S531: Based on the spatial fluid circulation situation, perform mutual influence analysis to determine the actual spatial interaction;

[0045] S532: Based on the actual spatial interaction, extract the initial control parameter corresponding to any one of the target air conditioners as the adjustment reference entity;

[0046] S533: Based on the adjustment reference entity and in combination with the variable frequency control domain, perform neighborhood recursive adjustment of the initial control parameter to obtain an adjusted control parameter;

[0047] S534: Perform iterative replacement and parameter adjustment of the adjustment reference entity, and integrally obtain the N groups of adjusted control parameters.

[0048] Specifically, since there are overlapping areas in the control ranges of the respective target air conditioners, there may be a problem of energy waste. Based on the spatial fluid circulation situation, analyze the mutual influence of the control ranges of each target air conditioner and adjacent air conditioners to determine the actual spatial interaction. Based on the actual spatial interaction, extract the initial control parameter of any one of the target air conditioners as the adjustment reference entity. Based on the adjustment reference entity and in combination with the variable frequency control domain, determine the adjustable range, and sequentially adjust the initial control parameters of the air conditioners adjacent to the adjustment reference entity until all the control parameters of the target air conditioners are adjusted to obtain the adjusted control parameters of the target air conditioners. By analogy, continuously replace the adjustment reference entity and adjust the initial control parameters of the air conditioners at adjacent positions until all adjustment schemes are traversed to obtain the N groups of adjusted control parameters. Exemplarily, the control range of one air conditioner overlaps with that of another air conditioner, and there is mutual influence in the overlapping part. Therefore, based on the control effect of one air conditioner, appropriately adjust the initial control parameter of the other air conditioner to reduce the power of the other air conditioner and reduce energy consumption. The N groups of adjusted control parameters can be used as basic data for finding the minimum energy consumption.

[0049] Further, step S540 of the embodiment of the present application further includes:

[0050] S541: Calculate the energy consumption of the N groups of adjusted control parameters to obtain N unit energy consumptions,

[0051] S542: Proofread the N unit energy consumptions to determine the minimum energy consumption;

[0052] S543: Based on the minimum energy consumption, reversely match the N groups of adjusted control parameters to determine the target control parameter.

[0053] Specifically, calculate the energy consumption required for air-conditioning control using the N sets of adjustment control parameters per unit time respectively to obtain N unit energy consumptions. Each set of adjustment control parameters corresponds to one unit energy consumption. Compare the N unit energy consumptions one by one. Exemplarily, sort the N unit energy consumptions by magnitude, screen out the minimum energy consumption, and based on the minimum energy consumption, inversely match the corresponding set of adjustment control parameters among the N sets of adjustment control parameters, and use this as the target control parameter. The target control parameter can be used to determine the synchronous braking parameter of the target air conditioner subsequently.

[0054] S600: Transmit the target control parameter to the central control system to determine the synchronous braking parameter, which is used for synchronous braking control according to the area division result;

[0055] Specifically, transmit the target control parameter to the central control system. The central control system refers to a system for centralized control of all target air conditioners, which may include a data processing module, an energy-saving control module, a fault diagnosis module, a remote control module, etc., and is communicatively connected to the target air conditioner. The central control system generates a synchronous braking parameter according to the target control parameter and sends a synchronous braking instruction to each air conditioner terminal for air conditioner braking. The synchronous braking parameter is used for synchronous braking control of the target air conditioners within the area according to the area division result.

[0056] S700: Based on the synchronous braking parameter, perform regional variable-frequency energy-saving control on the target air conditioner.

[0057] Specifically, based on the synchronous braking parameter, combine the area division result to control the target air conditioners within the area. By adjusting each parameter index within the variable-frequency control domain, for example, using a frequency converter to adjust the compressor speed so that it is always in the best speed state, thereby improving the energy efficiency ratio and ultimately achieving energy-saving control in each target area and achieving the effect of energy conservation and consumption reduction.

[0058] Further, the embodiment of the present application further includes step S800, and step S800 further includes:

[0059] S810: Configure the operation and maintenance cycle to perform regular operation and maintenance on the target air conditioner;

[0060] S820: Obtain the real-time monitoring data of the target air conditioner, perform deviation calculation under standard control, and determine the control deviation value;

[0061] S830: If the control deviation value meets the deviation threshold, determine the dynamic operation and maintenance node;

[0062] S840: Add the dynamic operation and maintenance node to the operation and maintenance cycle.

[0063] Specifically, a maintenance cycle of the air conditioner equipment is randomly set, which can be one month, three months, half a year, etc., and can be adaptively adjusted according to the actual situation. Based on the maintenance cycle, maintenance personnel are regularly arranged to perform operation and maintenance inspections on the target air conditioner, which can ensure the daily maintenance of the target air conditioner. At the same time, a real-time monitoring device is used to monitor the air conditioner in real time, obtain the real-time monitoring data of the target air conditioner, compare the real-time monitoring data with the data under standard control, and perform deviation calculation under standard control to determine the control deviation value, that is, the deviation value of the current operating data of the target air conditioner compared with the preset operating data. According to the preset requirements of the air conditioner usage function, a deviation threshold is set. When the control deviation value is greater than or equal to the deviation threshold, it means that the current operating state of the air conditioner cannot meet the normal usage function requirements. Then, the time node when the control deviation value meets the deviation threshold is used as a dynamic maintenance node and added to the maintenance cycle. Subsequently, the operation and maintenance of the target air conditioner are carried out according to the maintenance cycle to ensure that the target air conditioner can be fully maintained, which can extend the service life of the target air conditioner, reduce accidents, improve the operation stability of the air conditioner, save energy, and improve efficiency.

[0064] In summary, the embodiments of the present application at least have the following technical effects:

[0065] The present application configures temperature thresholds in time periods to control the start and stop of the target air conditioner; divides the target area, calculates the regional load as the target air conditioner starts, and determines the real-time load value; collects the variable frequency control domain of the target air conditioner; determines the initial control parameters based on the real-time load value; combines the variable frequency control domain, adjusts and optimizes the initial control parameters based on the regional simulation model to determine the target control parameters; transmits the target control parameters to the central control system, determines the synchronous braking parameters, and based on the synchronous braking parameters, performs regional variable frequency energy-saving control on the target air conditioner.

[0066] It achieves the technical effects of reducing air conditioner energy consumption and extending the service life by performing point-to-point control on air conditioners in different regions.

[0067] Embodiment 2

[0068] Based on the same inventive concept as the air conditioner energy-saving control method in the foregoing embodiment, as Figure 4 shown, the present application provides an air conditioner energy-saving control system. The system in the embodiments of the present application and the method embodiments are based on the same inventive concept. Among them, the system includes:

[0069] An air conditioner start-stop control module 11, which is used to configure temperature thresholds in time periods and control the start and stop of the target air conditioner based on the temperature thresholds;

[0070] The real-time load value determination module 12 is used to divide the target area. As the target air conditioner starts, based on the area division result, it calculates the area load and determines the real-time load value, which corresponds one-to-one with the area division result and represents the cooling load or the heating load.

[0071] The variable-frequency control domain acquisition module 13 is used to acquire the variable-frequency control domain of the target air conditioner.

[0072] The initial control parameter determination module 14 is used to determine the initial control parameters based on the real-time load value.

[0073] The target control parameter determination module 15 is used to combine the variable-frequency control domain and, based on the area simulation model, adjust and optimize the initial control parameters to determine the target control parameters, which correspond one-to-one with the target air conditioner.

[0074] The synchronous braking parameter determination module 16 is used to transmit the target control parameters to the central control system and determine the synchronous braking parameters, which are used for synchronous braking control according to the area division result.

[0075] The regional variable-frequency energy-saving control module 17 is used to perform regional variable-frequency energy-saving control on the target air conditioner based on the synchronous braking parameters.

[0076] Furthermore, the real-time load value determination module 12 is also used to execute the following steps:

[0077] Based on local sensing devices, it collects multi-source heat / cooling loads to determine regional sensing data, and the regional sensing data carries a collection source identifier.

[0078] Identifies the collection source identifier, regularizes and sums the regional sensing data to determine the multi-source heat / cooling load value.

[0079] Based on the multi-source heat / cooling load value, it traverses the area division result to perform regional spatial load calculation to obtain the real-time load value.

[0080] Obtain the load calculation formula:

[0081]

[0082] Among them, q is the heat / cooling index, S is the area of the region, ε i is the configuration weight value of different heat / cooling load sources, f i-1is a heterologous accompanying heat / cold load value, and n is the number of load source types.

[0083] Further, the target control parameter determination module 15 is further configured to perform the following steps:

[0084] Perform a 3D simulation of the building structure of the target area to construct a regional simulation model;

[0085] Combined with the distribution position of the target air conditioner, determine the spatial fluid circulation situation based on the initial control parameter;

[0086] Based on the spatial fluid circulation situation, combined with the variable frequency control domain, perform air conditioner control adjustment to obtain N groups of adjusted control parameters;

[0087] Proofread and screen the N groups of adjusted control parameters to determine the target control parameter.

[0088] Further, the target control parameter determination module 15 is further configured to perform the following steps:

[0089] Based on the spatial fluid circulation situation, perform mutual influence analysis to determine the spatial interaction situation;

[0090] Based on the spatial interaction situation, extract the initial control parameter corresponding to any one of the target air conditioners as the adjustment reference subject;

[0091] Based on the adjustment reference subject, combined with the variable frequency control domain, perform neighborhood recursive adjustment of the initial control parameter to obtain the adjusted control parameter;

[0092] Perform iterative replacement and parameter adjustment of the adjustment reference subject, and integrally obtain the N groups of adjusted control parameters.

[0093] Further, the target control parameter determination module 15 is further configured to perform the following steps:

[0094] Perform energy consumption calculation on the N groups of adjusted control parameters to obtain N unit energy consumptions,

[0095] Proofread the N unit energy consumptions to determine the minimum energy consumption;

[0096] Based on the minimum energy consumption, inversely match the N groups of adjusted control parameters to determine the target control parameter.

[0097] Further, the system further includes:

[0098] An operation and maintenance cycle configuration module, which is used to configure the operation and maintenance cycle and perform regular operation and maintenance on the target air conditioner;

[0099] A control deviation value determination module, which is used to obtain the real-time monitoring data of the target air conditioner, calculate the deviation under standard control, and determine the control deviation value;

[0100] A dynamic operation and maintenance node determination module, which is used to determine the dynamic operation and maintenance node if the control deviation value meets the deviation threshold;

[0101] An operation and maintenance cycle optimization module, which is used to add the dynamic operation and maintenance node into the operation and maintenance cycle.

[0102] It should be noted that the above sequence of embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0103] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0104] This specification and the drawings are only exemplary descriptions of the present application and are considered to have covered any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these changes and modifications.

Claims

1. An air conditioner energy-saving control method, characterized in that, The method includes: Configuring temperature thresholds in time periods and controlling the start and stop of the target air conditioner based on the temperature thresholds; Dividing the target area, and with the start of the target air conditioner, calculating the regional load based on the area division result to determine the real-time load value, where the real-time load value corresponds one-to-one with the area division result and represents the cooling load or the heating load; Collecting the variable frequency control domain of the target air conditioner; Determining the initial control parameters based on the real-time load value; Combining the variable frequency control domain, adjusting and optimizing the initial control parameters based on the regional simulation model to determine the target control parameters, where the target control parameters correspond one-to-one with the target air conditioner; Transmitting the target control parameters to the central control system to determine the synchronous braking parameters, where the synchronous braking parameters are used for synchronous braking control according to the area division result; Based on the synchronous braking parameters, performing regional variable frequency energy-saving control on the target air conditioner; The method for calculating the regional load based on the area division result to determine the real-time load value includes: Performing multi-source heat / cooling load collection based on local sensing devices to determine regional sensing data, where the regional sensing data carries a collection source identifier; Identifying the collection source identifier, regularizing and summing the regional sensing data to determine the multi-source heat / cooling load value; Based on the multi-source heat / cooling load value, traversing the area division result to perform regional spatial load calculation to obtain the real-time load value; Obtaining the load calculation formula: Among them, q is the cold / hot index, S is the area of the region, ε i is the configuration weight value of different heat / cold load sources, f i-1 is the heterologous accompanying heat / cold load value, and n is the number of load source types.

2. The method according to claim 1, wherein The method for determining the target control parameters includes: Performing 3D simulation of the building structure of the target area to construct a regional simulation model; Combining the distribution position of the target air conditioner, determining the spatial fluid circulation situation based on the initial control parameters; Based on the spatial fluid circulation situation, combining the variable frequency control domain, performing air conditioner control adjustment to obtain N groups of adjusted control parameters; Proofreading and screening the N groups of adjusted control parameters to determine the target control parameters.

3. The method according to claim 2, wherein The method for performing air conditioner control adjustment based on the spatial fluid circulation situation, combining the variable frequency control domain, to obtain N groups of adjusted control parameters includes: Based on the spatial fluid circulation situation, performing mutual influence analysis to determine the spatial interaction situation; Based on the spatial interaction situation, extracting the initial control parameter corresponding to any one of the target air conditioners as the adjustment reference subject; Based on the adjustment reference subject, combining the variable frequency control domain, performing neighborhood recursive adjustment of the initial control parameters to obtain the adjusted control parameters; Performing iterative replacement and parameter adjustment of the adjustment reference subject, and integrating to obtain the N groups of adjusted control parameters.

4. The method according to claim 2, wherein The method for proofreading and screening the N groups of adjusted control parameters to determine the target control parameters includes: Calculating the energy consumption of the N groups of adjusted control parameters to obtain N unit energy consumptions, Proofreading the N unit energy consumptions to determine the minimum energy consumption; Based on the minimum energy consumption, reversely matching the N groups of adjusted control parameters to determine the target control parameters.

5. The method according to claim 1, characterized in that the method Including: Configuring the operation and maintenance cycle and performing regular operation and maintenance on the target air conditioner; Obtain the real-time monitoring data of the target air conditioner, perform deviation calculation under standard control, and determine the control deviation value; If the control deviation value meets the deviation threshold, determine the dynamic operation and maintenance node; Add the dynamic operation and maintenance node to the operation and maintenance cycle.

6. Air conditioning energy-saving control system, characterized in that, The system is used to execute the method according to any one of claims 1-5, and the system includes: An air conditioner start-stop control module, which is used to configure temperature thresholds by time period and perform start-stop control of the target air conditioner based on the temperature thresholds; A real-time load value determination module, which is used to divide the target area, and with the start of the target air conditioner, perform area load calculation based on the area division result to determine the real-time load value, and the real-time load value corresponds one-to-one with the area division result, referring to the cooling load or the heating load; A variable-frequency control domain acquisition module, which is used to acquire the variable-frequency control domain of the target air conditioner; An initial control parameter determination module, which is used to determine the initial control parameters based on the real-time load value; A target control parameter determination module, which is used to combine the variable-frequency control domain and adjust and optimize the initial control parameters based on the area simulation model to determine the target control parameters, and the target control parameters correspond one-to-one with the target air conditioner; A synchronous braking parameter determination module, which is used to transmit the target control parameters to the central control system to determine the synchronous braking parameters, and the synchronous braking parameters are used to perform synchronous braking control according to the area division result; A regional variable-frequency energy-saving control module, which is used to perform regional variable-frequency energy-saving control on the target air conditioner based on the synchronous braking parameters.

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