A dynamic control method and system for a central air conditioner

Abstract

The present application relates to air conditioner control technical field, especially to a kind of dynamic control method and system of central air conditioning, by gathering first characteristic data and identifying collaborative interference type, in combination with collaborative interference type and second characteristic data determine allocation priority, so that the preliminary allocation of refrigerant resources can focus on key demand area, improve the rationality of resource allocation;By calculating correction parameter based on collaborative interference type, pipeline loss coefficient and sudden load variation, refrigerant allocation is further superimposed on the basis of priority pipeline loss compensation and sudden load emergency adjustment, to ensure that actual supply and real demand are highly matched;By integrating allocation priority and correction parameter control central air conditioner, so that central air conditioning system can realize the dual optimization of priority orientation and interference compensation, both guarantee the basic supply of high demand area, and targetedly offset the interference influence such as space imbalance, time resonance, improve the temperature control precision and system stability of central air conditioner.

Description

Technical Field

[0001] This invention relates to the field of air conditioning control technology, and in particular to a dynamic control method and system for central air conditioning. Background Technology

[0002] Central air conditioning is a major part of building energy consumption. Scientific control strategies can avoid energy waste, significantly reduce building operating costs such as electricity and maintenance, and ensure that users are in a comfortable environment, improving work efficiency and living experience.

[0003] Existing central air conditioning systems often employ strategies of independent adjustment or average refrigerant distribution for individual indoor units, neglecting the dynamic interaction between multiple indoor units. Due to issues such as differences in pipe length between indoor units, simultaneous startup of multiple indoor units or sudden load increases, and significant differences in load characteristics across different areas, the strategy of independent adjustment or average refrigerant distribution for individual indoor units cannot meet the differentiated needs of different functional areas and individual indoor units. This results in refrigerant surplus in near-end indoor units and insufficient refrigerant in far-end indoor units, leading to a coexistence of overcooling and undercooling. This causes temperatures to exceed limits in some areas or energy waste, and the system cannot withstand load fluctuations. Simultaneous startup of multiple units or sudden load increases can easily trigger severe system pressure fluctuations, even initiating compressor protection shutdowns, significantly reducing the energy efficiency, temperature control accuracy, and operational stability of the central air conditioning system.

[0004] Therefore, in the dynamic control scenario of central air conditioning, how to improve the temperature control accuracy and stability of central air conditioning has become an urgent problem to be solved. Summary of the Invention

[0005] To address the aforementioned technical problems, the present invention provides a dynamic control method for a central air conditioning system, which includes the following steps:

[0006] S1. Based on the first feature data of the indoor unit corresponding to each region, obtain the cooperative interference type corresponding to each indoor unit. The first feature data includes refrigerant flow, dynamic load, pipe length, real-time pressure loss and indoor temperature fluctuation data. The cooperative interference types include spatial dimension imbalance interference, time dimension resonance interference and type dimension conflict interference.

[0007] S2. Based on the cooperative interference type and the second characteristic data corresponding to each indoor unit, the allocation priority corresponding to each indoor unit is obtained. The second characteristic data includes the temperature deviation between the actual temperature and the set temperature, the load change rate, the space importance coefficient, and the pipeline loss coefficient.

[0008] S3, based on the cooperative interference type, pipeline loss coefficient and sudden load change of each indoor unit, obtains the correction parameters corresponding to each indoor unit;

[0009] S4 controls the central air conditioning system based on the allocation priority and correction parameters corresponding to each indoor unit.

[0010] The present invention also provides a dynamic control system for a central air conditioning system, the dynamic control system comprising:

[0011] The interference type acquisition module is used to obtain the cooperative interference type of each indoor unit based on the first feature data of the indoor unit corresponding to each region. The first feature data includes refrigerant flow, dynamic load, pipe length, real-time pressure loss and indoor temperature fluctuation data. The cooperative interference types include spatial dimension imbalance interference, time dimension resonance interference and type dimension conflict interference.

[0012] The priority acquisition module is used to obtain the allocation priority of each indoor unit based on the cooperative interference type and the second feature data corresponding to each indoor unit. The second feature data includes the temperature deviation between the actual temperature and the set temperature, the load change rate, the space importance coefficient, and the pipeline loss coefficient.

[0013] The correction parameter acquisition module is used to obtain the correction parameters for each indoor unit based on the cooperative interference type, pipeline loss coefficient and sudden load change amount corresponding to each indoor unit.

[0014] The central air conditioning control module is used to control the central air conditioning system according to the allocation priority and correction parameters corresponding to each indoor unit.

[0015] This invention has at least the following beneficial effects: By collecting first characteristic data and identifying three types of collaborative interference—spatial dimension imbalance, temporal dimension resonance, and type dimension conflict—it accurately locates the core contradictions in the collaborative operation of multiple indoor units, avoiding the blindness of traditional control that only considers local parameters and ignores global interference; by combining collaborative interference types with second characteristic data to determine allocation priorities, the initial allocation of refrigerant resources can focus on the areas with the most urgent needs and the most critical impacts, improving the rationality of resource allocation; by calculating correction parameters based on collaborative interference types, pipeline loss coefficients, and sudden load changes, refrigerant allocation is further superimposed with pipeline loss compensation and emergency adjustment for sudden loads on the basis of priority, making up for the deficiencies of basic allocation that do not consider physical transmission losses and dynamic fluctuations, ensuring that the actual supply is highly matched with the real demand; by integrating allocation priorities and correction parameters to control the central air conditioning, the central air conditioning system can achieve dual optimization of priority guidance and interference compensation, ensuring basic supply in high-demand areas while specifically offsetting the effects of interference such as spatial imbalance and temporal resonance, ultimately improving the temperature control accuracy and system stability of the central air conditioning. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating a dynamic control method for a central air conditioning system provided in Embodiment 1 of the present invention;

[0018] Figure 2 This is a schematic diagram of a dynamic control system for a central air conditioning system provided in Embodiment 2 of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is understood that, where appropriate, the terms used to distinguish similar objects can be interchanged so that the invention can also be implemented in other embodiments besides the illustrated or described embodiments. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products, or devices.

[0021] Example 1

[0022] This embodiment provides a dynamic control method for a central air conditioning system. The dynamic control method includes the following steps: Figure 1 As shown:

[0023] S1. Based on the first characteristic data of the indoor unit corresponding to each region, obtain the cooperative interference type corresponding to each indoor unit. The first characteristic data includes refrigerant flow, dynamic load, pipe length, real-time pressure loss and indoor temperature fluctuation data. The cooperative interference types include spatial dimension imbalance interference, time dimension resonance interference and type dimension conflict interference.

[0024] Among them, the spatial imbalance interference is essentially the uneven distribution of refrigerant space caused by the difference in pipe resistance. It can be manifested as the refrigerant flow of the near-end indoor unit being significantly higher than that of the far-end indoor unit, and the difference in real-time pressure loss between the two exceeding the preset pressure difference threshold. At the same time, the difference in indoor temperature fluctuation in the corresponding area exceeds the preset temperature threshold.

[0025] The time-dimensional resonance interference is essentially a synchronous fluctuation amplification of load pulses and system responses. It can manifest as the peak change rate of the dynamic load of multiple indoor units exceeding the preset change rate threshold over a period of time, and the fluctuation frequency of real-time pressure loss is coupled with the start-up time interval of multiple units.

[0026] Type-dimensional conflict interference is essentially a mismatch between the load characteristics and temperature requirements of different functional areas. It can manifest as a difference in the duration of dynamic load in different areas exceeding a preset duration difference threshold, and a difference in the frequency of indoor temperature fluctuations exceeding a preset fluctuation threshold.

[0027] The specific values ​​of the preset pressure difference threshold, preset temperature threshold, preset rate of change threshold, preset difference threshold, and preset fluctuation threshold can be set by the implementer according to the actual situation. For example, the preset pressure difference threshold can be set to 0.3 MPa, the preset temperature threshold to 2℃, the preset rate of change threshold to 50%, the preset duration difference threshold to 8 hours / day, and the preset fluctuation threshold to 5 times / hour.

[0028] Correspondingly, refrigerant flow rate, pipe length, and real-time pressure loss can reflect the impact of spatial dimension differences in pipe resistance on refrigerant distribution. For example, long pipes and large pressure losses corresponding to remote indoor units can easily lead to insufficient refrigerant flow. Dynamic load and real-time pressure loss can reflect the impact of time dimension load fluctuations on system stability. For example, a sudden increase in load can cause rapid pressure fluctuations, and synchronous fluctuations of multiple indoor units can create resonance. Dynamic load and indoor temperature fluctuations can reflect the conflict between regional functional differences in the "type dimension" and temperature control requirements. For example, temperature fluctuations in constant load areas should be smaller, while fluctuations in intermittent load areas can be appropriately relaxed.

[0029] Specifically, refrigerant flow rate is the mass or volume of refrigerant flowing through the indoor unit per unit time, reflecting the unit's heat exchange capacity. It can be collected in real time using devices such as vortex flow meters and ultrasonic flow meters, directly affecting the indoor unit's cooling / heating efficiency. Correspondingly, excessive refrigerant flow may lead to the indoor unit being too cold, while insufficient flow will result in inadequate heating / cooling.

[0030] Dynamic load is the change in cooling / heating demand in the area where the indoor unit is located over a unit of time. It is affected by factors such as the number of people, equipment operation, and sunlight. It can be calculated in real time using thermal imaging equipment combined with energy consumption monitoring algorithms.

[0031] Pipe length is the total length of the connecting pipes from the outdoor unit of the central air conditioning system to each indoor unit. It is a key factor affecting the refrigerant flow resistance. Correspondingly, the longer the pipe length, the greater the pressure loss of the refrigerant during the flow process, and the less effective refrigerant the indoor unit receives, which can easily lead to an imbalance in the refrigerant distribution in the space.

[0032] Real-time pressure loss is the pressure reduction caused by pipe friction, elbow resistance, etc., when the refrigerant flows from the outdoor unit to the indoor unit. It can be collected in real time by a pressure sensor installed in the pipe and is positively correlated with the pipe length.

[0033] Indoor temperature fluctuation data refers to the magnitude and frequency of the actual temperature in the area where the indoor unit is located deviating from the set temperature within a certain period of time. This data can be collected by a temperature sensor and directly reflects the accuracy of temperature control, serving as an important basis for judging type-dimensional conflicts. For example, if the set temperature of an office is 26℃, and the actual temperature fluctuates between 25-27℃ three times within one hour, the fluctuation range is ±1℃, and the fluctuation frequency is 3 times / hour.

[0034] Those skilled in the art will recognize that the methods for obtaining the various data in the first feature data in the prior art fall within the protection scope of this invention, and will not be elaborated further here.

[0035] Therefore, this embodiment analyzes the characteristics of the first feature data of the indoor unit corresponding to each region in the spatial, temporal and type dimensions, and then determines the cooperative interference type of each indoor unit.

[0036] In one specific embodiment, S1 includes the following steps:

[0037] S11 obtains the refrigerant flow rate corresponding to each indoor unit through preset sensors.

[0038] S12 uses thermal imaging equipment and personnel recognition algorithms to obtain the dynamic load of the indoor area corresponding to each indoor unit.

[0039] S13 obtains the real-time pressure loss of each indoor unit through the pipe length and pressure sensor corresponding to each indoor unit.

[0040] S14 obtains the indoor temperature fluctuation of the indoor area corresponding to each indoor unit through a temperature sensor.

[0041] S15 compares the refrigerant flow, dynamic load, pipe length, real-time pressure loss, and indoor temperature fluctuation of each indoor unit with the preset collaborative interference feature model in the expert knowledge base to identify the collaborative interference type of each indoor unit. Among them, the collaborative interference types include spatial dimension imbalance interference, time dimension resonance interference, and type dimension conflict interference.

[0042] By installing preset sensors, such as vortex flow meters and ultrasonic flow meters, at the connection between the indoor unit and the main pipeline, the mass or volume of refrigerant flowing through the indoor unit per unit time is collected in real time, and the flow signal is converted into an electrical signal, providing a data basis for subsequent judgment on whether the refrigerant distribution is balanced.

[0043] Thermal imaging equipment captures the infrared radiation distribution in an indoor area to generate a temperature field image, identifying high-load areas such as densely populated equipment areas and areas with many people. Based on personnel recognition algorithms, such as AI recognition algorithms based on cameras, it counts the real-time number of people in the area and calculates the heat load per person by combining this with an average heat dissipation standard. It can also overlay the rated power of equipment such as computers and lights to ultimately synthesize a dynamic load value for the area, providing a basis for judging the intensity and type of load fluctuations. The average heat dissipation standard can be calculated at 100W per person.

[0044] Pipe length determines the basic resistance to refrigerant flow, while real-time pressure loss is a direct reflection of the actual flow resistance. Both reflect the refrigerant transmission loss in the spatial dimension. Specifically, the pipe length from each indoor unit to the outdoor unit can be obtained in advance through building information modeling or on-site measurement. Pressure sensors can be installed at the near and far ends of the pipes to collect the inlet and outlet pressures of the refrigerant flow in real time. The difference between the two is the real-time pressure loss.

[0045] Indoor temperature fluctuations directly reflect the effectiveness of temperature control, and their amplitude and frequency are closely related to the type of cooperative interference. Temperature sensors are installed in representative locations within the indoor area, such as personnel activity areas and equipment areas. Actual temperatures are collected at a preset frequency (e.g., once every 30 seconds). The deviation amplitude and frequency of the actual temperature from the set temperature over a certain period (e.g., 5 minutes) are calculated to form temperature fluctuation data. This data can reflect the control accuracy of a single area and also reflect the type of dimensional conflict through the differences in fluctuations between different areas.

[0046] The collaborative interference feature model is a data model stored in an expert knowledge base. It is a set of features and thresholds built upon extensive experimental data and engineering experience, containing typical features and thresholds for three types of interference: spatial dimension imbalance, temporal dimension resonance, and type dimension conflict. This model is used to compare with the real-time acquired first feature data to identify the type of interference. Specifically, if the first feature data matches the spatial dimension feature threshold, it is identified as spatial dimension imbalance interference; if it matches the temporal dimension feature threshold, it is identified as temporal dimension resonance interference; and if it matches the type dimension feature threshold, it is identified as type dimension conflict interference.

[0047] The aforementioned multi-dimensional, multi-device data acquisition method covers key aspects such as refrigerant transmission, load changes, physical characteristics, and control effects, avoiding the information bias caused by single data sources and providing complete and reliable raw data for subsequent feature extraction. The raw data is transformed into three-dimensional features: spatial, temporal, and typological. Each feature specifically characterizes the core attributes of a type of disturbance, solving the problems of mixed factors and difficulty in defining disturbance types in traditional methods, making the characteristics of each disturbance more prominent and the boundaries clearer. By comparing the extracted dimensional features with preset models in the expert knowledge base, based on quantitative thresholds rather than empirical judgments, human error is avoided, improving the accuracy and reliability of identifying collaborative disturbance types and providing a scientific basis for subsequent control.

[0048] In one specific embodiment, S15 includes the following steps:

[0049] S151, based on the refrigerant flow, pipe length and indoor temperature fluctuation of each indoor unit, obtains spatial dimension features, including the ratio of refrigerant flow difference between indoor units, pipe length difference coefficient and temperature fluctuation amplitude difference.

[0050] S152, based on the dynamic load and real-time pressure loss corresponding to each indoor unit, obtains the time dimension features, including the peak rate of change of dynamic load, the distribution of indoor unit start-up time intervals, and the frequency and amplitude of pressure fluctuations.

[0051] S153, based on the dynamic load and indoor temperature fluctuations corresponding to each indoor unit, obtains the type dimension features, which include the load duration and the number of temperature deviations of the indoor unit.

[0052] S154 compares the spatial dimension features, temporal dimension features, and type dimension features with the preset spatial feature model, temporal feature model, and type feature model, respectively, to identify the cooperative interference type corresponding to each indoor unit.

[0053] Among them, the spatial dimension feature is used to quantify the differences in refrigerant distribution among multiple indoor units in their physical layout. Its core logic is that pipeline characteristics determine transmission losses, and transmission losses affect flow and temperature distribution. The temporal dimension feature is used to capture the dynamic collaborative interference of multiple indoor units during operation. Its core logic is that load fluctuations cause system response fluctuations, and synchronous fluctuations form resonance. The type dimension feature is used to distinguish the differences in load and temperature control characteristics of different functional areas. Its core logic is that the area function determines the load pattern, and the load pattern determines the temperature control requirements.

[0054] By calculating the ratio of the difference in refrigerant flow between any two indoor units to the larger of the two indoor units' refrigerant flow rates, the degree of refrigerant distribution imbalance between the two indoor units in space is directly reflected. The average of the first ratios between any one indoor unit and all other indoor units is then used as the refrigerant flow difference ratio for that indoor unit, characterizing the degree of refrigerant distribution imbalance in space for that indoor unit.

[0055] By calculating the difference in pipe length between any two indoor units and using a second ratio to the larger pipe length, the fundamental impact of the difference in the physical characteristics of the pipes between the two indoor units on refrigerant transmission is directly reflected. The average of these second ratios between any one indoor unit and all other indoor units is then used as the pipe length difference coefficient for that indoor unit, characterizing the fundamental impact of the indoor unit's pipe physical characteristics on refrigerant transmission.

[0056] By calculating the absolute difference in indoor temperature fluctuations between any two indoor units, the difference in temperature control performance caused by the refrigerant distribution between the two indoor units is directly reflected. The average of the absolute differences between any one indoor unit and all other indoor units is then used as the temperature fluctuation difference for that indoor unit, characterizing the difference in temperature control performance for that unit.

[0057] The maximum increase in dynamic load of any indoor unit within a unit of time is calculated as the peak value of the rate of change of dynamic load for that indoor unit, reflecting the intensity of load fluctuation for that indoor unit. The unit of time can be set by the implementer according to actual conditions, such as 1 hour.

[0058] The time intervals between the start-up times of multiple indoor units are statistically analyzed to obtain the distribution of indoor unit start-up time intervals, which is the set of time intervals used to determine whether there is a concentrated start-up phenomenon.

[0059] The period and maximum fluctuation value of pressure fluctuation are calculated by measuring the real-time pressure loss of any indoor unit. This serves as the frequency and amplitude of the pressure fluctuation of that indoor unit, reflecting its stability and the degree of impact, and providing a dynamic quantitative indicator for identifying time-dimensional resonance interference.

[0060] The cumulative time spent in a high-load state by statistically analyzing the dynamic load of any indoor unit is taken as the load duration of that indoor unit, reflecting the difference in load continuity. A high-load state can be defined as a load exceeding 80% of the design load.

[0061] By analyzing the indoor temperature fluctuations of any indoor unit, the number of times the actual temperature exceeds the set allowable temperature range per unit time is counted as the temperature deviation count of that indoor unit, reflecting the differences in temperature control accuracy requirements. The allowable temperature range can be ±1℃.

[0062] As described above, by converting the raw data into targeted dimensional features, focusing on the core features of interference types, misjudgments caused by direct comparison of raw data are avoided; by dividing the features into three dimensions of space, time, and type, the recognition logic is upgraded from experience-based judgment to data-driven and dimension-adaptive, thereby improving the adaptability and reliability of collaborative interference recognition.

[0063] S2. Based on the cooperative interference type and second characteristic data corresponding to each indoor unit, the allocation priority corresponding to each indoor unit is obtained. The second characteristic data includes the temperature deviation between the actual temperature and the set temperature, the load change rate, the space importance coefficient, and the pipeline loss coefficient.

[0064] Among them, the load change rate is the amount of change in dynamic load per unit time, used to characterize how fast the load increases or decreases.

[0065] The spatial importance coefficient is a pre-set weight value based on the function of indoor areas. The higher the value, the stronger the importance. It can be determined based on factors such as the usage scenario of the area, personnel density, and equipment sensitivity, reflecting the priority differences of different areas.

[0066] The pipe loss factor is a correction value for refrigerant transmission efficiency calculated based on parameters such as pipe length and pipe diameter. It ranges from 0 to 1. The higher the value, the greater the loss. For example, the pipe loss factor of a far-end indoor unit is 0.8, which means that 80% of the refrigerant energy is lost during transmission, while the pipe loss factor of a near-end indoor unit may be 0.2.

[0067] Under different types of cooperative interference, the weight of each feature on the allocation priority varies. For example, when there is spatial imbalance, it is necessary to focus on compensating for the uneven distribution caused by pipeline losses, so the pipeline loss coefficient has a higher weight; when there is temporal resonance, it is necessary to prioritize smoothing load fluctuations, so the load change rate has a higher weight; when there is type-dimensional conflict, it is necessary to prioritize ensuring the stability of important areas, so the spatial importance coefficient has a higher weight.

[0068] Therefore, by quantifying the actual needs of each indoor unit, the refrigerant is directed to the areas that need it most, solving the problem of insufficient cooling in important areas and excessive cooling in secondary areas caused by traditional average distribution. Furthermore, by dynamically adjusting the weight of each characteristic data in conjunction with the type of cooperative interference, the priority calculation is matched with the current main contradiction of the system, thereby improving the targeting of the control.

[0069] In one specific embodiment, S2 includes the following steps:

[0070] S21: For any indoor unit, obtain the temperature deviation between the actual temperature and the set temperature of the indoor area corresponding to the current indoor unit.

[0071] S22: Based on the dynamic load of the indoor unit at several points in time, obtain the load change rate of the indoor unit per unit time.

[0072] S23, based on the type of the indoor area corresponding to the current indoor unit, obtain the preset space importance coefficient corresponding to the current indoor unit.

[0073] S24: Based on the pipe length corresponding to the current indoor unit, obtain the pipe loss coefficient corresponding to the current indoor unit.

[0074] S25, adjusts the preset weights corresponding to temperature deviation, load change rate, space importance coefficient and pipe loss coefficient according to the cooperative interference type corresponding to the current indoor unit, and obtains the reference weights of temperature deviation, load change rate, space importance coefficient and pipe loss coefficient for the current indoor unit.

[0075] S26. Based on the reference weight corresponding to the current indoor unit, the temperature deviation, load change rate, space importance coefficient and pipeline loss coefficient corresponding to the current indoor unit are weighted and calculated to obtain the allocation priority corresponding to the current indoor unit.

[0076] This process involves analyzing the dynamic load of the indoor unit at several points within the current unit's current time frame. The difference between the dynamic load at each point and the previous point is calculated, and the ratio of this difference to the time interval is taken as the load change rate at each point. The average load change rate over a unit of time is then used as the current indoor unit's load change rate over that unit's current time frame. A higher load change rate indicates a faster increase in refrigerant demand for the indoor unit; if not addressed promptly, temperature deviations may widen rapidly, requiring higher priority. The time interval can be 5 minutes.

[0077] The spatial importance coefficient reflects the functional priority differences between different areas, used to prioritize critical areas when resources are limited. Based on the type of indoor area, such as a data center, office, or corridor, the corresponding coefficient value is retrieved from a preset parameter library. For example, data center 1.0, office 0.7, corridor 0.3. A higher coefficient indicates a higher requirement for temperature stability in that area, which should be prioritized when allocating refrigerant.

[0078] Based on the pipe length, the pipe loss coefficient is calculated using a preset formula, such as pipe loss coefficient = 0.8 × pipe length / maximum pipe length + 0.2. A high pipe loss coefficient indicates a lower actual heat exchange effect for the same amount of refrigerant, requiring more refrigerant compensation and thus needing to be assigned a higher priority.

[0079] The preset weights are general benchmarks, while the cooperative interference type determines the main contradiction of the current system. Therefore, the weights of the second feature data are adjusted according to the cooperative interference type to enhance the relevance to the current system and improve the accuracy of priority calculation.

[0080] In one specific embodiment, S25 includes the following steps:

[0081] S251, obtain the preset weights corresponding to temperature deviation, load change rate, spatial importance coefficient and pipeline loss coefficient from the expert knowledge base.

[0082] S252, if the current indoor unit's cooperative interference type is spatial dimension imbalance interference, then increase the initial weight corresponding to the pipeline loss coefficient by a first preset value, decrease the preset weight corresponding to the spatial importance coefficient by a first preset value, keep the preset weights of temperature deviation and load change rate unchanged, and obtain the reference weight.

[0083] S253, if the current indoor unit's corresponding cooperative interference type is time dimension imbalance interference, then increase the initial weight corresponding to the load change rate by the second preset value, decrease the preset weight corresponding to the pipeline loss coefficient by the second preset value, keep the preset weights of temperature deviation and space importance coefficient unchanged, and obtain the reference weight.

[0084] S254, if the current indoor unit's corresponding cooperative interference type is type dimension imbalance interference, then increase the initial weight corresponding to the space importance coefficient by the third preset value, decrease the preset weight corresponding to the load change rate by the third preset value, keep the preset weights of temperature deviation and pipeline loss coefficient unchanged, and obtain the reference weight.

[0085] The preset weights are basic allocation ratios pre-set based on expert experience and system characteristics, used to balance the impact of four types of characteristics, including temperature deviation and load change rate, on priority. The preset weights stored in the expert knowledge base have been verified through extensive experiments and can achieve reasonable allocation in the absence of significant cooperative interference. For example, a typical initial configuration is: temperature deviation 40%, load change rate 30%, spatial importance coefficient 20%, and pipeline loss coefficient 10%.

[0086] The specific values ​​of the first, second, and third preset values ​​can be set by the implementer according to the actual situation.

[0087] The core issue of spatial imbalance is the uneven refrigerant distribution caused by differences in pipe length. Remote indoor units suffer from insufficient refrigerant due to greater losses, thus necessitating a stronger influence of the pipe loss coefficient. By increasing the weight of the pipe loss coefficient and simultaneously reducing the weight of the space importance coefficient, while maintaining the total weight, the impact of pipe characteristics on priority is enhanced. This increases the allocation priority of remote indoor units due to the weight adjustment, resulting in more refrigerant distribution and alleviating spatial imbalance. For example, if the first preset value is 5%, the adjusted weights would be: temperature deviation 40%, load change rate 30%, space importance coefficient 15%, and pipe loss coefficient 15%.

[0088] The core contradiction of time-dimensional resonance is the system fluctuations caused by a sudden increase in load, such as pressure instability due to the simultaneous start-up of multiple units. Therefore, it is necessary to prioritize responding to load change trends. By increasing the weight of the load change rate and reducing the weight of the pipeline loss coefficient by an equal amount, the influence of dynamic load on priority is strengthened. This increases the priority of areas with rapid load growth, such as conference rooms suddenly filled with a large number of people, allowing for quick refrigerant replenishment and mitigating the impact of load fluctuations on the system. For example, if the second preset value is 8%, the adjusted weights are: temperature deviation 40%, load change rate 38%, spatial importance coefficient 20%, and pipeline loss coefficient 2%.

[0089] The core contradiction in type-dimensional conflicts lies in the differing needs of different functional areas. For example, data centers require high-precision control, while offices can have more lenient requirements. Therefore, it is necessary to emphasize the difference in spatial importance. By increasing the weight of the spatial importance coefficient and equally reducing the weight of the load change rate, the impact of regional functional priority on allocation is strengthened. This ensures that even if the load change is moderate, important areas can still receive priority allocation due to the increased spatial importance weight, guaranteeing their temperature stability. For example, if the third preset value is 10%, the adjusted weights would be: temperature deviation 40%, load change rate 20%, spatial importance coefficient 30%, and pipeline loss coefficient 10%.

[0090] The above-mentioned approach involves targeted weight adjustments to address the core contradictions of the three types of interference, enabling priority calculations to focus on the most pressing issues and improving the effectiveness of control. By adhering to the principle of equal increases and decreases, the total weight remains unchanged. Based on the preset weights, only minor adjustments are made to adapt to different interference scenarios. This maintains the stability of the control logic while flexibly responding to dynamic changes, avoiding system oscillations caused by frequent and significant adjustments. This makes the calculation of refrigerant demand priority more closely aligned with actual scenarios, providing a precise basis for subsequent resource allocation.

[0091] S3 obtains the correction parameters for each indoor unit based on the cooperative interference type, pipeline loss coefficient, and sudden load change amount corresponding to each indoor unit.

[0092] In one specific embodiment, S3 includes the following steps:

[0093] S31: For any indoor unit, obtain the refrigerant compensation ratio corresponding to the current indoor unit based on the pipe loss coefficient corresponding to the current indoor unit.

[0094] S32 obtains the emergency refrigerant adjustment ratio for the current indoor unit based on the sudden load change corresponding to the current indoor unit.

[0095] S33, adjusts the refrigerant compensation ratio and emergency refrigerant adjustment ratio of the current indoor unit according to the type of cooperative interference corresponding to the current indoor unit.

[0096] S34 obtains the correction parameters corresponding to the current indoor unit based on the adjusted refrigerant compensation ratio and the emergency refrigerant adjustment ratio.

[0097] Among them, the pipeline loss coefficient reflects the energy loss of refrigerant during transmission, and the refrigerant compensation ratio is used to increase the basic refrigerant quota proportionally to offset this loss, solve the problem of insufficient effective refrigerant in remote units due to long pipelines and large losses in spatial dimensional imbalance, and ensure that the actual heat exchange effect meets the standard.

[0098] The pipeline loss factor can be converted into a specific compensation ratio based on a preset pipeline loss factor-compensation ratio mapping relationship stored in an expert knowledge base. For example, the refrigerant compensation ratio = pipeline loss factor × compensation conversion factor. The compensation conversion factor can be set by the implementer according to the actual situation, for example, 0.25.

[0099] Sudden load change is the maximum increase in indoor dynamic load within a preset time period, reflecting the surge in short-term demand. The emergency adjustment ratio is used to quickly replenish refrigerant to match the increased demand, suppress temperature fluctuations caused by sudden load increases during time-dimensional resonance, and avoid a decrease in comfort due to lag in the central air conditioning system.

[0100] The formula for calculating sudden load changes is the maximum load within a preset time period minus the load at the start time of the preset time period. This formula is used to measure the severity of load fluctuations. To reflect the suddenness of load changes, the preset time period is relatively short, for example, 10 minutes.

[0101] The emergency refrigerant adjustment ratio can be quantified using a preset model of sudden load change - emergency ratio stored in the expert knowledge base. For example: Emergency refrigerant adjustment ratio = Sudden load change × Emergency conversion coefficient. The emergency conversion coefficient can be set by the implementer according to the actual situation, for example, 0.06 / kW.

[0102] Different types of collaborative interference have different core contradictions, and the targeted nature of the correction needs to be enhanced through weighting adjustments.

[0103] Correspondingly, the main problem causing spatial imbalance is uneven distribution due to pipeline losses. Therefore, it is necessary to increase the refrigerant compensation ratio while lowering the upper limit of the emergency refrigerant adjustment ratio, prioritizing the stability of the basic refrigerant supply to remote units. For example, the refrigerant compensation ratio can be increased by 20% based on the original ratio, while controlling the emergency refrigerant adjustment ratio to not exceed 10%.

[0104] The main problem with time-dimensional resonance interference is system oscillation caused by load fluctuations. Therefore, it is necessary to increase the sensitivity of the emergency adjustment ratio, for example, by increasing the emergency conversion coefficient from 0.06 / kW to 0.08 / kW, while reducing the upper limit of the refrigerant compensation ratio, for example, not exceeding 25%, in order to respond quickly to load pulses and avoid resonance amplification.

[0105] The main contradiction in the type-dimensional conflict is the mismatch of needs caused by differences in regional functions. Therefore, adjustments should be made according to regional type differences: For areas with high stability requirements, such as laboratories, increase the sensitivity of the refrigerant compensation ratio, for example, increase the compensation conversion coefficient from 0.25 to 0.5, while lowering the upper limit of the emergency refrigerant adjustment ratio, for example, controlling the emergency refrigerant adjustment ratio to not exceed 5%, to avoid frequent fluctuations; For areas with high flexibility requirements, such as banquet halls, decrease the sensitivity of the refrigerant compensation ratio, for example, decrease the compensation conversion coefficient from 0.25 to 0.1, while raising the upper limit of the emergency refrigerant adjustment ratio, for example, controlling the emergency refrigerant adjustment ratio to not exceed 30%.

[0106] Based on the adjusted refrigerant compensation ratio and the emergency refrigerant adjustment ratio, the correction parameters corresponding to the current indoor unit are obtained, which are used to directly calibrate the basic refrigerant quota. For example, the correction parameter = (1 + refrigerant compensation ratio) × (1 + emergency refrigerant adjustment ratio), so as to integrate the dual requirements of loss compensation and emergency response into a single coefficient, simplify the calculation logic of refrigerant quantity in subsequent control schemes, and facilitate rapid system execution.

[0107] The above-mentioned method of using a proportional rather than a fixed value for correction can adapt to indoor units with different basic quotas, avoiding over- or under-correction. Based on the type of interference, the refrigerant compensation ratio and emergency refrigerant adjustment ratio are optimized in a targeted manner. This accurately balances the problem of insufficient effective refrigerant in remote units due to long pipelines and large losses in spatial dimension imbalance, as well as the problem of temperature fluctuations caused by sudden load increases in time dimension resonance, and the problem of decreased comfort caused by the lag in response of the central air conditioning system. This makes refrigerant control both scientific and reasonable, flexible and efficient, improving the stability and energy utilization efficiency of the central air conditioning system.

[0108] S4 controls the central air conditioning system based on the allocation priority and correction parameters corresponding to each indoor unit.

[0109] In one specific embodiment, S4 includes the following steps:

[0110] S41 obtains the total amount of refrigerant that can be allocated based on the operating parameters of the outdoor unit and the output capacity model in the expert knowledge base.

[0111] S42 determines the basic refrigerant quota for each indoor unit based on the total refrigerant quantity and the allocation priority corresponding to each indoor unit.

[0112] S43 adjusts the basic refrigerant quota according to the correction parameters corresponding to each indoor unit to obtain the refrigerant supply for each indoor unit.

[0113] S44 converts the refrigerant supply for each indoor unit into the target adjustment temperature for the indoor area corresponding to each indoor unit.

[0114] The total refrigerant capacity is the maximum refrigerant resource that the outdoor unit can stably output under the current operating conditions. Its value is limited by the operating status of the outdoor unit. The total refrigerant capacity is used to ensure that subsequent allocation does not exceed the actual supply capacity of the outdoor unit, and to avoid malfunctions such as abnormal system pressure and compressor overload caused by over-allocation.

[0115] The operating parameters of the outdoor unit include compressor speed, condensing pressure, and evaporating pressure, which directly determine the compression efficiency and transmission capacity of the refrigerant. For example, the higher the compressor frequency, the greater the amount of refrigerant output per unit time.

[0116] The output capability model in the expert knowledge base is a mathematical model built based on a large amount of experimental data. For example: total refrigerant quantity = r × compressor frequency × (condensing pressure - evaporating pressure), where r is the equipment characteristic coefficient.

[0117] The basic refrigerant quota is an initial allocation of the total refrigerant quantity based on allocation priority. Its core principle is allocation according to urgency of demand, ensuring that high-priority areas receive more basic resources. The basic refrigerant quota can be obtained by multiplying the proportion of each indoor unit's allocation priority in the sum of all indoor unit allocation priorities by the total refrigerant quantity.

[0118] Furthermore, the refrigerant supply is the final value of the basic refrigerant quota after calibration with correction parameters. It is used to offset the effects of coordinated interference and to match actual supply with real demand. For example, refrigerant supply = basic refrigerant quota × correction parameters.

[0119] The target temperature adjustment translates the refrigerant supply into an executable temperature control command. By adjusting the deviation between the set temperature and the actual temperature, it drives the system to deliver refrigerant according to the supply amount. This can be based on a refrigerant supply-temperature adjustment model stored in an expert knowledge base, converting the supply amount into a specific temperature difference. For example, in a cooling scenario, for every 10% increase in refrigerant supply, the target temperature adjustment needs to be 0.3℃ lower than the original set temperature. If the original set temperature is 26℃, and the refrigerant supply needs to increase by 20%, then the target temperature adjustment = 26℃ - (20% / 10%) × 0.3℃ = 25.4℃. The central air conditioning system indirectly achieves the corresponding refrigerant supply by controlling the indoor units to reach this target temperature.

[0120] The above-mentioned method determines the total refrigerant quantity based on the real-time parameters and output capacity model of the outdoor unit, avoiding the excessive or insufficient allocation caused by "allocation according to design values," ensuring that resource allocation is within the system's capacity range and improving operational stability. By allocating the total refrigerant quantity according to priority ratios, high-demand areas receive more basic resources, solving the inefficiency of traditional average allocation. By correcting parameters and calibrating the basic quota, the final refrigerant quantity simultaneously meets priority requirements and copes with interference such as pipeline losses and sudden loads, improving the temperature control accuracy and stability of the central air conditioning system.

[0121] This embodiment accurately locates the core contradictions in the coordinated operation of multiple indoor units by collecting first characteristic data and identifying three types of cooperative interference: spatial imbalance, temporal resonance, and type conflict. This avoids the blindness of traditional control, which only considers local parameters and ignores global interference. By combining cooperative interference types with second characteristic data to determine allocation priorities, the initial allocation of refrigerant resources can focus on the areas with the most urgent needs and the most critical impacts, improving the rationality of resource allocation. By calculating correction parameters based on cooperative interference types, pipeline loss coefficients, and sudden load changes, the refrigerant allocation is further enhanced by pipeline loss compensation and emergency adjustment for sudden loads on the basis of priority. This compensates for the deficiencies of the basic allocation, which does not consider physical transmission losses and dynamic fluctuations, ensuring that the actual supply is highly matched with the real demand. By integrating allocation priorities and correction parameters to control the central air conditioning, the central air conditioning system can achieve dual optimization of priority guidance and interference compensation. This ensures the basic supply in high-demand areas and specifically offsets the effects of interference such as spatial imbalance and temporal resonance, ultimately improving the temperature control accuracy and system stability of the central air conditioning.

[0122] Example 2

[0123] This second embodiment provides a dynamic control system for a central air conditioning system, such as... Figure 2 As shown, the dynamic control system of this central air conditioning system includes:

[0124] The interference type acquisition module 21 is used to acquire the cooperative interference type corresponding to each indoor unit based on the first feature data corresponding to each indoor unit in each region. The first feature data includes refrigerant flow, dynamic load, pipe length, real-time pressure loss and indoor temperature fluctuation data. The cooperative interference types include spatial dimension imbalance interference, time dimension resonance interference and type dimension conflict interference.

[0125] The priority acquisition module 22 is used to obtain the allocation priority of each indoor unit according to the cooperative interference type and the second feature data corresponding to each indoor unit. The second feature data includes the temperature deviation between the actual temperature and the set temperature, the load change rate, the space importance coefficient, and the pipeline loss coefficient.

[0126] The correction parameter acquisition module 23 is used to acquire the correction parameters corresponding to each indoor unit based on the cooperative interference type, pipeline loss coefficient and sudden load change amount corresponding to each indoor unit.

[0127] The central air conditioning control module 24 is used to control the central air conditioning according to the allocation priority and correction parameters corresponding to each indoor unit.

[0128] In one specific embodiment, the interference type acquisition module 21 includes:

[0129] The refrigerant flow acquisition submodule is used to acquire the refrigerant flow corresponding to each indoor unit through preset sensors.

[0130] The dynamic load acquisition submodule is used to acquire the dynamic load of the indoor area corresponding to each indoor unit through thermal imaging equipment and personnel recognition algorithms.

[0131] The real-time pressure loss acquisition submodule is used to acquire the real-time pressure loss of each indoor unit by using the pipe length and pressure sensor corresponding to each indoor unit.

[0132] The indoor temperature fluctuation acquisition submodule is used to acquire the indoor temperature fluctuation of the indoor area corresponding to each indoor unit through temperature sensors.

[0133] The interference type acquisition submodule is used to compare the refrigerant flow, dynamic load, pipe length, real-time pressure loss and indoor temperature fluctuation of each indoor unit with the preset collaborative interference feature model in the expert knowledge base to identify the collaborative interference type of each indoor unit. The collaborative interference types include spatial dimension imbalance interference, temporal dimension resonance interference and type dimension conflict interference.

[0134] In one specific implementation, the interference type acquisition submodule includes:

[0135] The spatial dimension feature acquisition unit is used to acquire spatial dimension features based on the refrigerant flow, pipe length and indoor temperature fluctuation of each indoor unit. The spatial dimension features include the refrigerant flow difference ratio between indoor units, the pipe length difference coefficient and the temperature fluctuation amplitude difference.

[0136] The time dimension feature acquisition unit is used to acquire time dimension features based on the dynamic load and real-time pressure loss corresponding to each indoor unit. The time dimension features include the peak value of the dynamic load change rate, the distribution of indoor unit start-up time intervals, and the frequency and amplitude of pressure fluctuations.

[0137] The type dimension feature acquisition unit is used to obtain type dimension features based on the dynamic load and indoor temperature fluctuations of each indoor unit. The type dimension features include the load duration and the number of temperature deviations of the indoor unit.

[0138] The interference type acquisition unit is used to compare the spatial dimension features, time dimension features, and spatial dimension features with the preset spatial feature model, time feature model, and type feature model, respectively, to identify the cooperative interference type corresponding to each indoor unit.

[0139] In one specific embodiment, the priority acquisition module 22 includes:

[0140] The temperature deviation acquisition submodule is used to obtain the temperature deviation between the actual temperature and the set temperature of the indoor area corresponding to any given indoor unit.

[0141] The load change rate acquisition submodule is used to obtain the load change rate of the current indoor unit per unit time based on the dynamic load of the current indoor unit at several time points.

[0142] The importance coefficient acquisition submodule is used to obtain the preset space importance coefficient corresponding to the current indoor unit based on the type of the indoor area corresponding to the current indoor unit.

[0143] The pipe loss coefficient acquisition submodule is used to obtain the pipe loss coefficient corresponding to the current indoor unit based on the pipe length corresponding to the current indoor unit.

[0144] The reference weight acquisition submodule is used to adjust the preset weights corresponding to temperature deviation, load change rate, space importance coefficient and pipe loss coefficient according to the cooperative interference type corresponding to the current indoor unit, and obtain the reference weights of temperature deviation, load change rate, space importance coefficient and pipe loss coefficient for the current indoor unit.

[0145] The priority allocation submodule is used to perform weighted calculations based on the temperature deviation, load change rate, space importance coefficient, and pipeline loss coefficient of the current indoor unit according to the reference weight of the current indoor unit, and obtain the allocation priority of the current indoor unit.

[0146] In one specific implementation, the reference weight acquisition submodule includes:

[0147] The preset weight acquisition unit is used to obtain the preset weights corresponding to temperature deviation, load change rate, spatial importance coefficient and pipeline loss coefficient from the expert knowledge base.

[0148] The first reference weight acquisition unit is used to increase the initial weight corresponding to the pipeline loss coefficient by a first preset value and decrease the preset weight corresponding to the spatial importance coefficient by a first preset value if the cooperative interference type corresponding to the current indoor unit is spatial dimension imbalance interference, while keeping the preset weights of temperature deviation and load change rate unchanged, thereby obtaining the reference weight.

[0149] The second reference weight acquisition unit is used to increase the initial weight corresponding to the load change rate by a second preset value and decrease the preset weight corresponding to the pipeline loss coefficient by a second preset value if the cooperative interference type corresponding to the current indoor unit is time dimension imbalance interference, while keeping the preset weights of temperature deviation and space importance coefficient unchanged, thereby obtaining the reference weight.

[0150] The third reference weight acquisition unit is used to increase the initial weight corresponding to the spatial importance coefficient by a third preset value if the cooperative interference type corresponding to the current indoor unit is a type dimension imbalance interference, decrease the preset weight corresponding to the load change rate by a third preset value, and keep the preset weights of temperature deviation and pipeline loss coefficient unchanged to obtain the reference weight.

[0151] In one specific embodiment, the correction parameter acquisition module 23 includes:

[0152] The refrigerant compensation ratio acquisition submodule is used to obtain the refrigerant compensation ratio for any indoor unit based on the pipe loss coefficient corresponding to the current indoor unit.

[0153] The emergency refrigerant adjustment ratio acquisition submodule is used to obtain the emergency refrigerant adjustment ratio corresponding to the current indoor unit based on the sudden load change corresponding to the current indoor unit.

[0154] The proportional adjustment submodule is used to adjust the refrigerant compensation ratio and emergency refrigerant adjustment ratio of the current indoor unit according to the type of cooperative interference corresponding to the current indoor unit.

[0155] The correction parameter acquisition submodule is used to obtain the correction parameters corresponding to the current indoor unit based on the adjusted refrigerant compensation ratio and the emergency refrigerant adjustment ratio.

[0156] In one specific embodiment, the central air conditioning control module 24 includes:

[0157] The total refrigerant quantity acquisition submodule is used to obtain the total refrigerant quantity that can be allocated based on the outdoor unit's operating parameters and the output capacity model in the expert knowledge base.

[0158] The refrigerant basic quota acquisition submodule is used to determine the refrigerant basic quota for each indoor unit based on the total refrigerant quantity and the allocation priority corresponding to each indoor unit.

[0159] The refrigerant supply acquisition submodule is used to adjust the basic refrigerant quota according to the correction parameters corresponding to each indoor unit, and obtain the refrigerant supply for each indoor unit.

[0160] The target temperature acquisition submodule is used to convert the refrigerant supply for each indoor unit into the target temperature for the indoor area corresponding to each indoor unit.

[0161] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of the present invention. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0162] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A dynamic control method for a central air conditioning system, characterized in that, The dynamic control method includes the following steps: S1. Based on the first characteristic data corresponding to the indoor unit in each region, obtain the cooperative interference type corresponding to each indoor unit. The first characteristic data includes refrigerant flow rate, dynamic load, pipe length, real-time pressure loss, and indoor temperature fluctuation data. The cooperative interference types include spatial dimension imbalance interference, temporal dimension resonance interference, and type dimension conflict interference. The spatial dimension imbalance interference is used to characterize the uneven distribution of refrigerant space caused by differences in pipe resistance. It is manifested as the refrigerant flow rate of the near-end indoor unit is higher than that of the far-end indoor unit, and the difference in real-time pressure loss between the two exceeds a preset pressure difference threshold. At the same time, the difference in indoor temperature fluctuation amplitude in the corresponding region exceeds a preset temperature threshold. The temporal dimension resonance interference is used to characterize the synchronous fluctuation amplification of load pulse and system response. It is manifested as the peak change rate of the dynamic load of multiple indoor units exceeds a preset change rate threshold within a certain period of time, and the fluctuation frequency of real-time pressure loss is coupled with the start-up time interval of multiple units. The type dimension conflict interference is used to characterize the mismatch between the load characteristics and temperature requirements of different functional areas. It is manifested as the difference in the duration of dynamic load in different areas exceeds a preset duration difference threshold, and the difference in the frequency of indoor temperature fluctuation exceeds a preset fluctuation threshold. S2. Based on the cooperative interference type and second feature data corresponding to each indoor unit, the allocation priority corresponding to each indoor unit is obtained. The second feature data includes the temperature deviation between the actual temperature and the set temperature, the load change rate, the space importance coefficient, and the pipeline loss coefficient. The space importance coefficient is determined based on the pre-set weight value of the indoor area function, the usage scenario of the area, the personnel density, and the equipment sensitivity, reflecting the priority difference of different areas. S3, based on the cooperative interference type, pipeline loss coefficient and sudden load change of each indoor unit, obtains the correction parameters corresponding to each indoor unit; S4, control the central air conditioning system according to the allocation priority and correction parameters corresponding to each indoor unit; S1 includes the following steps: S11 obtains the refrigerant flow rate corresponding to each indoor unit through preset sensors; S12 uses thermal imaging equipment and personnel recognition algorithms to obtain the dynamic load of the indoor area corresponding to each indoor unit; S13 obtains the real-time pressure loss of each indoor unit through the pipe length and pressure sensor corresponding to each indoor unit; S14, uses a temperature sensor to obtain the indoor temperature fluctuation of the indoor area corresponding to each indoor unit; S15 compares the refrigerant flow, dynamic load, pipe length, real-time pressure loss, and indoor temperature fluctuation of each indoor unit with the preset collaborative interference feature model in the expert knowledge base to identify the collaborative interference type of each indoor unit. Among them, the collaborative interference types include spatial dimension imbalance interference, time dimension resonance interference, and type dimension conflict interference.

2. The dynamic control method for central air conditioning according to claim 1, characterized in that, S15 includes the following steps: S151. Based on the refrigerant flow rate, pipe length, and indoor temperature fluctuation of each indoor unit, spatial dimension features are obtained, wherein the spatial dimension features include the refrigerant flow rate difference ratio, pipe length difference coefficient, and temperature fluctuation amplitude difference between indoor units. S152, based on the dynamic load and real-time pressure loss corresponding to each indoor unit, time-dimensional features are obtained, wherein the time-dimensional features include the peak value of the dynamic load change rate, the distribution of indoor unit start-up time intervals, and the frequency and amplitude of pressure fluctuations; S153, based on the dynamic load and indoor temperature fluctuations corresponding to each indoor unit, obtain the type dimension features, which include the load duration and the number of temperature deviations of the indoor unit; S154, compare the spatial dimension features, time dimension features and spatial dimension features with the preset spatial feature model, time feature model and type feature model respectively, and identify the cooperative interference type corresponding to each indoor unit.

3. The dynamic control method for central air conditioning according to claim 1, characterized in that, S2 includes the following steps: S21, for any indoor unit, obtain the temperature deviation between the actual temperature and the set temperature of the indoor area corresponding to the current indoor unit; S22, based on the dynamic load of the indoor unit at several points in time, obtain the load change rate of the indoor unit per unit time; S23, based on the type of the indoor area corresponding to the current indoor unit, obtain the space importance coefficient corresponding to the current indoor unit; S24, based on the pipe length corresponding to the current indoor unit, obtain the pipe loss coefficient corresponding to the current indoor unit; S25, adjust the preset weights of temperature deviation, load change rate, space importance coefficient and pipe loss coefficient according to the cooperative interference type corresponding to the current indoor unit, and obtain the reference weights of temperature deviation, load change rate, space importance coefficient and pipe loss coefficient for the current indoor unit. S26. Based on the reference weight corresponding to the current indoor unit, the temperature deviation, load change rate, space importance coefficient and pipeline loss coefficient corresponding to the current indoor unit are weighted and calculated to obtain the allocation priority corresponding to the current indoor unit.

4. The dynamic control method for central air conditioning according to claim 3, characterized in that, S25 includes the following steps: S251, obtain the preset weights corresponding to temperature deviation, load change rate, space importance coefficient and pipeline loss coefficient from the expert knowledge base; S252, if the current indoor unit's corresponding cooperative interference type is spatial dimension imbalance interference, then increase the initial weight corresponding to the pipeline loss coefficient by the first preset value, decrease the preset weight corresponding to the spatial importance coefficient by the first preset value, keep the preset weights of temperature deviation and load change rate unchanged, and obtain the reference weight. S253, if the current indoor unit's cooperative interference type is time-dimensional resonance interference, then increase the initial weight corresponding to the load change rate by the second preset value, decrease the preset weight corresponding to the pipeline loss coefficient by the second preset value, keep the preset weights of temperature deviation and space importance coefficient unchanged, and obtain the reference weight. S254, if the current indoor unit's cooperative interference type is type-dimensional conflict interference, then increase the initial weight corresponding to the spatial importance coefficient by the third preset value, decrease the preset weight corresponding to the load change rate by the third preset value, keep the preset weights of temperature deviation and pipeline loss coefficient unchanged, and obtain the reference weight.

5. The dynamic control method for central air conditioning according to claim 1, characterized in that, S3 includes the following steps: S31: For any indoor unit, obtain the refrigerant compensation ratio corresponding to the current indoor unit based on the pipe loss coefficient corresponding to the current indoor unit. S32, based on the sudden load change corresponding to the current indoor unit, obtains the emergency refrigerant adjustment ratio corresponding to the current indoor unit; S33, adjust the refrigerant compensation ratio and emergency refrigerant adjustment ratio of the current indoor unit according to the type of cooperative interference corresponding to the current indoor unit; S34 obtains the correction parameters corresponding to the current indoor unit based on the adjusted refrigerant compensation ratio and the emergency refrigerant adjustment ratio.

6. The dynamic control method for central air conditioning according to claim 1, characterized in that, S4 includes the following steps: S41 obtains the total amount of refrigerant that can be allocated based on the operating parameters of the outdoor unit and the output capacity model in the expert knowledge base. S42, determine the basic refrigerant quota for each indoor unit based on the total refrigerant quantity and the allocation priority corresponding to each indoor unit; S43 adjusts the basic refrigerant quota according to the correction parameters corresponding to each indoor unit to obtain the refrigerant supply for each indoor unit; S44 converts the refrigerant supply for each indoor unit into the target adjustment temperature for the indoor area corresponding to each indoor unit.

7. A dynamic control system for a central air conditioning system, characterized in that, The dynamic control system includes: The interference type acquisition module is used to obtain the cooperative interference type corresponding to each indoor unit based on the first feature data corresponding to each indoor unit in each region. The first feature data includes refrigerant flow rate, dynamic load, pipe length, real-time pressure loss, and indoor temperature fluctuation data. The cooperative interference types include spatial imbalance interference, temporal resonance interference, and type-dimensional conflict interference. Spatial imbalance interference characterizes the uneven refrigerant distribution space caused by differences in pipe resistance, manifested as a higher refrigerant flow rate for the near-end indoor unit than for the far-end indoor unit, and the difference in real-time pressure loss between the two exceeding a preset pressure difference threshold, while the difference in indoor temperature fluctuation amplitude in the corresponding region exceeds a preset temperature threshold. Temporal resonance interference characterizes the synchronous fluctuation amplification of load pulses and system responses, manifested as the peak change rate of the dynamic load of multiple indoor units exceeding a preset change rate threshold over a period of time, and the fluctuation frequency of real-time pressure loss being coupled with the multi-unit start-up time interval. Type-dimensional conflict interference characterizes the mismatch between load characteristics and temperature requirements in different functional areas, manifested as a difference in the duration of dynamic load in different areas exceeding a preset duration difference threshold, and the corresponding difference in indoor temperature fluctuation frequency exceeding a preset fluctuation threshold. The priority acquisition module is used to obtain the allocation priority of each indoor unit based on the cooperative interference type and the second feature data corresponding to each indoor unit. The second feature data includes the temperature deviation between the actual temperature and the set temperature, the load change rate, the space importance coefficient, and the pipeline loss coefficient. The space importance coefficient is determined based on the pre-set weight value of the indoor area function, the usage scenario of the area, the personnel density, and the equipment sensitivity, reflecting the priority differences of different areas. The correction parameter acquisition module is used to obtain the correction parameters for each indoor unit based on the cooperative interference type, pipeline loss coefficient and sudden load change amount corresponding to each indoor unit. The central air conditioning control module is used to control the central air conditioning system according to the allocation priority and correction parameters corresponding to each indoor unit; The interference type acquisition module includes: The refrigerant flow acquisition submodule is used to acquire the refrigerant flow corresponding to each indoor unit through preset sensors; The dynamic load acquisition submodule is used to acquire the dynamic load of the indoor area corresponding to each indoor unit through thermal imaging equipment and personnel recognition algorithm; The real-time pressure loss acquisition submodule is used to acquire the real-time pressure loss of each indoor unit by using the pipe length and pressure sensor corresponding to each indoor unit. The indoor temperature fluctuation acquisition submodule is used to acquire the indoor temperature fluctuation of the indoor area corresponding to each indoor unit through temperature sensors; The interference type acquisition submodule is used to compare the refrigerant flow, dynamic load, pipe length, real-time pressure loss and indoor temperature fluctuation of each indoor unit with the preset collaborative interference feature model in the expert knowledge base to identify the collaborative interference type of each indoor unit. The collaborative interference types include spatial dimension imbalance interference, temporal dimension resonance interference and type dimension conflict interference.

8. The dynamic control system for a central air conditioning system according to claim 7, characterized in that, The interference type acquisition submodule includes: The spatial dimension feature acquisition unit is used to acquire spatial dimension features based on the refrigerant flow, pipe length and indoor temperature fluctuation of each indoor unit. The spatial dimension features include the refrigerant flow difference ratio between indoor units, the pipe length difference coefficient and the temperature fluctuation amplitude difference. The time dimension feature acquisition unit is used to acquire time dimension features based on the dynamic load and real-time pressure loss corresponding to each indoor unit. The time dimension features include the peak value of the dynamic load change rate, the distribution of indoor unit start-up time intervals, and the frequency and amplitude of pressure fluctuations. The type dimension feature acquisition unit is used to acquire type dimension features based on the dynamic load and indoor temperature fluctuations of each indoor unit. The type dimension features include the load duration and the number of temperature deviations of the indoor unit. The interference type acquisition unit is used to compare the spatial dimension features, time dimension features and spatial dimension features with preset spatial feature models, time feature models and type feature models respectively, and identify the cooperative interference type corresponding to each indoor unit.

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