A method and system for zoned control of central air conditioning

Abstract

This invention discloses a zonal control method and system for central air conditioning, relating to the field of air conditioning technology. It collects temperature and humidity data from the air conditioning terminals in each zone of the central air conditioning system, filters the effective operating status of these terminals to obtain the effective air conditioning terminals for each zone, and imports the operating data of these effective terminals and indoor environmental data into a human thermal balance model. The system outputs a comfort index for each zone, and determines the source of air conditioning deviation based on the comfort deviation of each zone, dynamically adjusting the water supply to the air conditioning terminals. This provides a zonal control method for central air conditioning that considers zone operating status, human comfort perception, terminal heat exchange capacity, and system safety constraints, achieving refined, coordinated, and long-term stable control of zone operation.

Description

Technical Field

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

[0002] In large public buildings and multi-zone buildings, central air conditioning systems typically employ zoned cooling and heating to meet the varying needs of different spaces in terms of occupancy density, functional usage, and heat load. However, in actual operation, due to asynchronous heat load changes between zones, inconsistent operating states of air conditioning terminals, and coupling relationships in pipeline hydraulic conditions, traditional zoned control methods based on set temperatures or single environmental parameters often fail to reflect the actual thermal comfort of human beings in a timely and accurate manner. This can easily lead to problems such as localized areas being consistently too hot or too cold, and frequent but unstable terminal adjustments. Furthermore, without unified coordination and safety constraints, zoned control commands may cause pipeline overload, insufficient terminal heat exchange capacity, or decreased system operating efficiency, increasing energy consumption and maintenance risks. Therefore, there is an urgent need for a central air conditioning zoned control method that considers the zoned operating state, human comfort perception, terminal heat exchange capacity, and system safety constraints to achieve refined, coordinated, and long-term stable control of zoned operation.

[0003] Existing central air conditioning zone control systems typically adjust the temperature and humidity of each zone based on temperature and humidity sensors and airflow velocity data, focusing primarily on direct perception of comfort, such as temperature control and humidity management. However, they are limited in their ability to finely regulate human thermal comfort. Current systems generally control air conditioning terminal equipment through preset temperature setpoints, rarely considering the combined effects of dynamic factors such as airflow velocity, temperature change rate, and humidity change rate. Therefore, this can lead to a potential balance between comfort and energy efficiency, and makes it difficult to cope with the dynamic adjustment needs under complex environmental changes.

[0004] For example, CN119436450A discloses a zoned air conditioning control method, air conditioning system, and storage medium. The method includes: when entering heat exchange mode, acquiring personnel location distribution data in the current physical space; dividing the current physical space into two or more temperature control zones based on the personnel location distribution data; determining the target temperature value corresponding to each temperature control zone; and controlling the corresponding air conditioner to adjust the temperature of each temperature control zone based on the target temperature value.

[0005] For example, CN119289446B discloses a zone-controlled cooling constant temperature and humidity air conditioning unit air supply system, including: a unit chassis; a constant temperature air supply structure for temperature regulation of the air supplied by the air supply system is installed inside the unit chassis, and the air supply end of the constant temperature air supply structure is connected to an air duct for air transmission; a constant humidity zone control structure for indoor zone-controlled air supply is installed at the air outlet end of the air duct.

[0006] The above-mentioned technology has at least the following technical problems: Existing central air conditioning control systems typically adjust the temperature quantitatively based on a target temperature. However, in actual operation, they often fail to adequately integrate real-time environmental data, resulting in the air conditioning terminals operating in suboptimal conditions for extended periods. This is particularly problematic in areas where cooling or heating is not required for extended periods, leading to energy waste and potentially causing localized overheating or underheating. This failure to meet human comfort requirements not only impacts system energy efficiency but also leads to excessive wear and tear on equipment, increasing maintenance costs. Summary of the Invention

[0007] To address the technical problems existing in the prior art, embodiments of the present invention provide a method for zoned control of a central air conditioning system. The technical solution is as follows, including: Temperature and humidity data of air conditioning terminals in each zone of the central air conditioning system are collected, and the effective working status of the air conditioning terminals in each zone of the central air conditioning system is screened to obtain the effective air conditioning terminals in each zone of the central air conditioning system.

[0008] The system obtains the operational data of the effective air conditioning terminals of each zone of the central air conditioning system and the indoor environmental data of each zone of the central air conditioning system, imports them into the human body thermal balance model, and outputs the comfort index of each zone of the central air conditioning system. Based on the comfort deviation of each zone of the central air conditioning system, the source of the air conditioning deviation of each zone of the central air conditioning system is determined and the water supply of the air conditioning terminals of each zone of the central air conditioning system is dynamically adjusted.

[0009] Based on the correlation and consistency analysis between the comfort deviation of each zone of the central air conditioning system and the terminal heat exchange status, safety constraint control is implemented for each zone of the central air conditioning system, and the throttling commands of each zone of the central air conditioning system are uniformly coordinated.

[0010] The second aspect of the present invention also provides a system for a zoned control method of a central air conditioning system, comprising: an air conditioning terminal effectiveness screening and environmental data acquisition module, used to collect temperature and humidity data of air conditioning terminals in each zone of the central air conditioning system, screen the effective working status of air conditioning terminals in each zone of the central air conditioning system, and obtain the effective air conditioning terminals in each zone of the central air conditioning system.

[0011] The comfort assessment and deviation-driven adjustment module based on human body thermal balance is used to acquire the effective air conditioning terminal operation data of each zone of the central air conditioning system and the indoor environmental data of each zone of the central air conditioning system, import them into the human body thermal balance model, output the comfort index of each zone of the central air conditioning system, determine the source of air conditioning deviation of each zone of the central air conditioning system based on the comfort deviation of each zone of the central air conditioning system, and dynamically adjust the water supply of each zone of the central air conditioning system's air conditioning terminal.

[0012] The module for coordinating zone safety constraints and adjustment commands based on correlation consistency is used to control the safety constraints of each zone of the central air conditioning system based on the correlation consistency analysis between the comfort deviation of each zone and the terminal heat exchange status, and to coordinate the regulated commands of each zone of the central air conditioning system.

[0013] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: (1) This invention proposes a zonal control method for central air conditioning. First, by collecting temperature and humidity data of the air conditioning terminals in each zone of the central air conditioning system and screening the effective working status, it is ensured that the terminals involved in the control have real and adjustable heat exchange capabilities. On this basis, the operating data of the effective air conditioning terminals and the indoor environmental data of the zones are introduced into the human thermal balance model. The comfort status of each zone is directly quantified from the perspective of human thermal comfort. The source of zone deviation is identified based on the comfort deviation as the core basis, avoiding misjudgment caused by relying on a single temperature parameter. Furthermore, by combining the historical correlation consistency between the comfort deviation and the heat exchange status of the terminals, safety constraints and unified coordination are implemented on the zone control behavior. In this way, while meeting the human thermal comfort needs, ineffective or risky regulation is suppressed, the zone control conflict and system fluctuation are reduced, and the refined control of central air conditioning zones that takes into account comfort, stability and system safety is realized, effectively improving the overall operating effect and long-term operating reliability.

[0014] (2) This invention first identifies and eliminates ineffective terminals with insufficient heat exchange capacity or that do not effectively participate in regulation by calculating the supply and return air temperature difference of each zone's air conditioning terminal and comparing it with the heat exchange threshold. This ensures that subsequent analysis and regulation are based only on air conditioning terminals that actually contribute to heat exchange. On this basis, the operating status of effective air conditioning terminals and environmental data such as indoor temperature, humidity and air flow in each zone are introduced into the human body thermal balance model. The comfort level of each zone is quantified from the actual human perception. The deviation between the comfort index and the target value is used to determine whether there are significant thermal comfort problems. This provides a clear and executable basis for subsequent zone regulation, avoiding the limitations of rough control based solely on indoor temperature. This enables the central air conditioning zone regulation to make refined decisions around the core goal of human thermal comfort, effectively reducing ineffective and erroneous regulation, and improving the pertinence, stability and overall operating efficiency of zone regulation.

[0015] (3) This invention uses the comfort index of each zone as the basis for adjustment triggering. It only dynamically adjusts the water supply of the corresponding air conditioning terminal when the comfort deviation is determined to be the first terminal adjustable type deviation. This avoids blind intervention in discomfort caused by non-terminal dominant factors from the source. After the adjustment is completed, the supply and return air temperature difference and indoor temperature and humidity change process are continuously collected and time-aligned through the preset adjustment monitoring cycle to form a time-series correlation sequence that reflects the actual response characteristics of the environment after the adjustment action. This sequence is compared with the typical effective response under similar historical conditions, so as to make an objective assessment of the effectiveness and reliability of the current adjustment behavior. This makes the central air conditioning zone control not only focus on whether to adjust, but also judge whether the adjustment conforms to the historical effective law of human thermal comfort improvement. This helps to suppress ineffective or over-adjustment, enhance the interpretability and stability of adjustment decision, and improve the zone operation quality and long-term operation safety for human thermal comfort.

[0016] (4) This invention classifies the historical correlation consistency evaluation results of the regulation behavior of each zone into active regulation state area and suppression regulation state area by classifying the zone. On this basis, it introduces pipeline capacity and end equipment physical capacity constraints to coordinate the regulation behavior within the safety boundary, thereby ensuring that the regulation command meets the needs of human thermal comfort improvement without exceeding the hydraulic conditions and equipment capacity limitations, effectively avoiding ineffective regulation, over-regulation and system-level imbalance. While ensuring operational safety, it continuously improves the response accuracy and stability of the zone environment to human thermal comfort needs. Attached Figure Description

[0017] 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.

[0018] Figure 1 This is a schematic diagram of the method provided in an embodiment of the present invention; Figure 2 This is a flowchart of a zoning control method for central air conditioning based on human thermal comfort, and a process for identifying and attributing deviations. Figure 3 A timing diagram of the typical operating status of an air conditioning system during a specific time period is provided in an embodiment of the present invention; Figure 4 A flowchart of indoor thermal comfort assessment based on the PMV model provided in this embodiment of the invention; Figure 5This is a flowchart of a zoning control method for central air conditioning based on historical correlation consistency and physical constraints, provided by an embodiment of the present invention. Figure 6 This is a schematic diagram of the system modules provided in an embodiment of the present invention; Figure 7 This is a diagram of a central air conditioning room system provided in an embodiment of the present invention. Detailed Implementation

[0019] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0020] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0021] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0022] like Figure 1 As shown in the figure, this embodiment of the invention provides a schematic diagram of a zonal control method for a central air conditioning system. The method includes: collecting temperature and humidity data of the air conditioning terminals in each zone of the central air conditioning system, filtering the effective working status of the air conditioning terminals in each zone of the central air conditioning system, and obtaining the effective air conditioning terminals in each zone of the central air conditioning system.

[0023] The system obtains the operational data of the effective air conditioning terminals of each zone of the central air conditioning system and the indoor environmental data of each zone of the central air conditioning system, imports them into the human body thermal balance model, and outputs the comfort index of each zone of the central air conditioning system. Based on the comfort deviation of each zone of the central air conditioning system, the source of the air conditioning deviation of each zone of the central air conditioning system is determined and the water supply of the air conditioning terminals of each zone of the central air conditioning system is dynamically adjusted.

[0024] Based on the correlation and consistency analysis between the comfort deviation of each zone of the central air conditioning system and the terminal heat exchange status, safety constraint control is implemented for each zone of the central air conditioning system, and the throttling commands of each zone of the central air conditioning system are uniformly coordinated.

[0025] Example 1: Sensors distributed across each zone collect data such as supply air temperature, return air temperature, and humidity from each air conditioning terminal. The terminal's operating status is calculated based on the supply and return air temperature difference to determine if it is in an effective heat exchange state. By comparing this to a preset heat exchange threshold, if the supply and return air temperature difference of a zone's air conditioning terminal is less than or equal to the threshold, the terminal is marked as an "ineffective terminal"; conversely, if the temperature difference is greater than the threshold, it is marked as an "effective terminal." These effective air conditioning terminals will be used for subsequent adjustment operations. For zones identified as having a first-stage adjustable deviation, the system dynamically adjusts the water supply to the air conditioning terminals in that area based on the deviation value. Specific adjustment strategies include increasing or decreasing the water supply to improve comfort deviation and bring it as close as possible to the target comfort value. The system selects an appropriate water supply change step size for adjustment based on the real-time comfort deviation and the current heat exchange capacity of the terminal. If the deviation is large, the system will perform a larger adjustment; if the deviation is small, a fine adjustment strategy will be used to avoid over-adjustment. A correlation consistency analysis is performed based on the historical change pattern of the comfort deviation and the current adjustment behavior. By comparing the adjustment effects under similar deviation conditions in historical data, the system assesses the reliability of the current adjustment behavior and obtains a historical correlation consistency evaluation result. If the current adjustment behavior is effective and meets expectations in historical data, the system marks this partition as an "active adjustment state area" and further optimizes it according to the normal adjustment strategy. If the adjustment behavior deviates significantly from the historical pattern, the system marks this area as a "suppressed adjustment state area" and adopts a conservative adjustment strategy. Safety constraints are then applied to the adjustment strategies of all partitions to ensure that the rated capacity of the air conditioning terminal equipment and the maximum flow limit of the pipeline are not exceeded during the adjustment process. The system monitors the operating status of the air conditioning terminals in each partition in real time, calculates the upper limit of the available remaining water volume for each area based on the pipeline capacity parameters, and adjusts it according to the required increase in cooling and heating demand. This ensures that the adjustment process is always executed within a safe range, avoiding over-adjustment that could lead to equipment damage or excessive energy consumption.

[0026] like Figure 2 As shown, Figure 2 This invention provides a flowchart of a zoning control method for central air conditioning based on human thermal comfort, involving zoning status identification and deviation attribution. By monitoring and adjusting the air conditioning terminal devices in each zone of the central air conditioning system, it achieves refined control that meets human thermal comfort requirements. First, the system collects temperature and humidity data from the air conditioning terminals, calculates and analyzes the supply and return air temperature difference, and then determines whether the air conditioning terminals are effective. Figure 3 As shown, Figure 3This is a time-series diagram of the air conditioning system's operation during a typical period. The room temperature curve and the return air temperature difference curve show similar fluctuation trends, indicating that the air conditioning system is automatically increasing its cooling output to maintain temperature stability. The synchronous changes of the two curves clearly reveal the response-feedback relationship of the system dynamically adjusting its cooling capacity according to actual demand, which helps determine the effectiveness of the air conditioning terminals. If the terminals are effective, the system imports relevant data into the human body thermal balance model, such as... Figure 4 As shown, Figure 4 This is a flowchart for indoor thermal comfort assessment based on the PMV model. Real-time data such as indoor temperature and humidity, and supply and return air temperature difference are used as input. After feature extraction and calculation functions of the PMV model, the final output is a quantified PMV comfort index and comfort assessments for each zone. The comfort index is calculated and differs from the target value to obtain the comfort deviation. If the comfort deviation exceeds a preset threshold, the system further determines whether it is a terminal adjustable type or a non-terminal dominant type deviation, and dynamically adjusts the water supply of the air conditioning terminals according to the deviation type to ensure optimized indoor comfort. The effective operating status of the air conditioning terminals in each zone of the central air conditioning system is screened, specifically as follows: The supply and return air temperatures of the air conditioning terminals in each zone of the central air conditioning system are collected. The difference between the supply and return air temperatures of the air conditioning terminals in each zone of the central air conditioning system is calculated to obtain the supply and return air temperature difference of the air conditioning terminals in each zone of the central air conditioning system. The supply and return air temperature difference of the air conditioning terminals in each zone of the central air conditioning system is compared with the heat exchange threshold stored in the database. If the supply and return air temperature difference of the air conditioning terminal in a certain zone of the central air conditioning system is less than or equal to the heat exchange threshold, the air conditioning terminal in that zone of the central air conditioning system is marked as an invalid terminal, otherwise it is marked as an effective terminal. In this way, the effective air conditioning terminals of each zone of the central air conditioning system are obtained.

[0027] It's important to clarify that the temperature data for each zone of the central air conditioning system, including the supply and return air temperature difference, supply air temperature, and return air temperature, defines an "effective terminal" as one that possesses actual heat exchange capacity, capable of heating or cooling according to current environmental needs, and whose temperature difference (supply and return air temperature difference) reaches the preset heat exchange threshold. The system considers these terminals to be operating normally and will include them in subsequent zone control processes. An "ineffective terminal," on the other hand, refers to terminals that, due to various reasons (such as not being turned on, malfunctioning, or operating abnormally), fail to reach the preset temperature difference requirement and are therefore marked as ineffective and will not participate in zone control. These are removed from the control logic to avoid wasting energy or affecting overall comfort through ineffective adjustments. Terminals are only included in subsequent control logic when the supply and return air temperature difference reaches the preset heat exchange threshold, indicating effective heat exchange. If the terminal temperature difference is close to zero, indicating no heat transfer, the system automatically marks the terminal as ineffective and removes it from the control logic. This ensures that system control commands are only issued to effective terminals, thus avoiding energy waste caused by ineffective adjustments.

[0028] The process of obtaining the comfort index for each zone of the central air conditioning system is as follows: The system acquires operational data from the effective air conditioning terminals of each zone of the central air conditioning system, as well as indoor environmental data for each zone. The operational data from the effective air conditioning terminals of each zone includes supply air temperature, return air temperature, and supply and return air temperature difference. The indoor environmental data for each zone includes indoor temperature, humidity, and air flow velocity. The system imports the operational data from the effective air conditioning terminals of each zone and the indoor environmental data for each zone into the human body thermal balance model to obtain the comfort index for each zone of the central air conditioning system.

[0029] It's important to note that a human thermal balance model is a model used to predict a person's thermal comfort under specific environmental conditions, typically calculated based on the theory of human thermal balance. It predicts thermal comfort by considering the interaction between environmental factors such as temperature, humidity, airflow, and radiation, and the human body's own heat generation and dissipation capabilities. Simplified versions of human thermal comfort models (such as the PMV model or its simplified forms) usually reduce some complex factors, focusing only on the most basic environmental variables, such as indoor air temperature, humidity, airflow velocity, and air temperature changes, and pre-setting basic personnel-related parameters in the model. These pre-set parameters typically include, but are not limited to, physiological characteristics such as activity level, clothing thermal resistance, body type, gender, and age, to compensate for the lack of individual data and to provide a preliminary estimate of environmental comfort in the absence of individual physiological data. In this model, inputs typically include indoor temperature, humidity, airflow velocity (estimated from the air supply volume), and temperature change rate. Input data is obtained through sensors installed at the air conditioning terminal and indoor environmental data collection. This output reflects the human body's thermal comfort state in the current environment—whether it's too hot, too cold, too humid, too dry, or a thermally comfortable environment. When a factor in the environment (such as temperature, humidity, or airflow speed) changes, the human thermal balance model can reflect the impact of these changes on human comfort. For example, when the indoor temperature rises, the model will output a comfortable state of being too hot, while when the humidity is too high, the model will output a state of being too humid. Based on these output comfort indices, the operating status of the air conditioning terminal is adjusted, such as adjusting the supply air temperature or airflow, to ensure that the indoor environment remains within the optimal thermal comfort range. In this way, the human thermal balance model enables central air conditioning to more accurately meet the actual comfort needs of each area, thereby improving energy efficiency and enhancing human comfort.

[0030] like Figure 5 As shown, Figure 5This invention provides a flowchart of a zonal control method for central air conditioning based on historical correlation consistency and physical constraints. During the air conditioning system adjustment process, the system continuously evaluates the historical correlation consistency of adjustment behaviors to ensure consistency between current and historical adjustment behaviors. By performing time-series analysis on the response of each adjustment behavior, the system determines whether it conforms to a historically successful adjustment pattern and divides the adjustment area into active adjustment and suppressed adjustment states. Based on this, the system calculates the remaining adjustable water volume to ensure that the increase in cooling and heating demand matches the rated heat exchange capacity of the air conditioning terminals, thereby achieving precise cooling and heating supply control. Finally, through continuous iterative optimization and historical data feedback, the system ensures that the comfort stability and energy efficiency of each zone of the central air conditioning system are maximized during long-term operation.

[0031] The process for determining the sources of air conditioning deviation in each zone of the central air conditioning system is as follows: The comfort index of each zone of the central air conditioning system is extracted. The difference between the comfort index of each zone and the comfort target value stored in the database is calculated to obtain the comfort deviation value of each zone. If the comfort deviation value of a certain zone is higher than the comfort deviation threshold stored in the database, then the comfort deviation of that zone is classified. If the comfort deviation value of a certain zone is lower than or equal to the comfort deviation threshold stored in the database, then the comfort deviation of that zone does not need to be classified.

[0032] The comfort deviation of the central air conditioning zone is divided into the following categories: extracting the supply and return air temperature difference and temperature difference of the central air conditioning zone; if the supply and return air temperature difference of the zone is higher than or equal to the expected supply and return air temperature difference stored in the database and the temperature difference is higher than or equal to the expected temperature difference, then the comfort deviation of the central air conditioning zone is recorded as the first terminal adjustable type deviation; otherwise, the comfort deviation of the central air conditioning zone is recorded as the second non-terminal dominant type deviation.

[0033] It's important to note that the temperature difference refers to the difference between the supply air temperature and the return air temperature. When the air conditioning terminal is working normally, the supply and return air temperature difference reflects whether the air conditioner is effectively regulating the indoor temperature. If the supply and return air temperature difference is within the preset range and reaches the expected value, it indicates that the heat exchange effect of the terminal equipment is good, the heat exchange capacity is sufficient, and it can effectively meet the temperature control needs of the current zone. Conversely, if the temperature difference is small, it indicates that the heat exchange effect is not ideal, which may be due to insufficient cooling or heating from the terminal equipment, or a problem with the working status of the air conditioning terminal.

[0034] The process of dynamically adjusting the water supply to the air conditioning terminals in each zone of the central air conditioning system is as follows: Extract the comfort index of each zone of the central air conditioning system, and dynamically adjust the water supply of each zone's air conditioning terminal according to the effectiveness of each zone's air conditioning terminal. The corresponding adjustment of the air conditioning water supply of each zone's air conditioning terminal is only executed when the comfort deviation is classified as the first adjustable deviation.

[0035] It should be noted that when the comfort deviation of the central air conditioning zone is recorded as the second non-terminal dominant type deviation, the comfort deviation may be caused by other external factors (such as heat load fluctuations, usage behavior, etc.), and the terminal equipment adjustment may be ineffective. The pre-setting personnel should be reminded to take other measures, such as adjusting the load distribution or optimizing the space settings, to deal with the problem.

[0036] It should be noted that the water supply to the air conditioning terminals in each zone of the central air conditioning system is dynamically adjusted based on the comfort index of each zone. The specific process is as follows: The comfort index of each zone is compared with the target comfort value stored in the database to calculate the comfort deviation value. The system determines the comfort status of the current area based on the sign and magnitude of the comfort deviation. When the comfort deviation is positive (target comfort is higher than actual comfort), it indicates that the area is too cold, and the system needs to increase the heat supply to raise the area temperature. In this case, the system will search the database for adjustment parameters corresponding to the current deviation value. These adjustment parameters include appropriate supply air temperature and increased water volume. Specifically, the system will compare the deviation value with a preset table or model in the database to find the most suitable adjustment amount. For example, if the comfort deviation is positive and large, the system will look up a table to obtain a larger incremental water flow or supply air temperature adjustment range. Conversely, when the comfort deviation is negative (target comfort is lower than actual comfort), it indicates that the area is too hot, and the system needs to reduce the heat supply to lower the area temperature. In this case, the system will also search the database for adjustment parameters corresponding to the current deviation value. These parameters include reducing the supply air temperature or decreasing the water flow rate. If the comfort deviation is negative, the adjustment range for reducing the water flow rate or lowering the supply air temperature is obtained by referring to a table. After obtaining the adjustment amount, the water flow rate or supply air temperature at the air conditioning terminal is adjusted according to these parameters. For example, if the system needs to increase the water flow rate, that is, the flow rate of chilled or hot water in the central air conditioning system. Air conditioning systems typically exchange heat and cold through a water system. Chilled or hot water flows through pipes into air conditioning terminal equipment (such as fan coil units, air conditioning terminal devices, etc.) for heat exchange and to regulate the indoor temperature. When the system needs to increase the water flow rate, it is actually adjusting the water flow rate in the air conditioning system to increase the heat exchange capacity of the terminal equipment, thereby providing more cooling or heating to help adjust the indoor temperature towards the target comfort level. The appropriate increase in water flow rate is determined based on the table results, and the opening of the water pump or regulating valve is adjusted; if the water flow rate needs to be reduced, the opening is reduced or other adjustment parameters are changed according to the table results to ensure that the temperature approaches the target comfort level.

[0037] It's important to note that water flow adjustment is only performed when comfort deviations are identified as first-terminal adjustable deviations. This is to avoid misinterpreting deviations caused by spatial disturbances or user behavior as hydraulic adjustment needs. Second-terminal non-terminal-driven deviations are typically caused by other factors, such as spatial disturbances, changes in the external environment, and user behavior (e.g., increased occupancy, external heat sources, equipment heat dissipation). These factors are unrelated to the heat exchange capacity of the terminal equipment; therefore, even if comfort deviations exist, they cannot be effectively improved by adjusting terminal equipment (such as water flow). For example, if an area experiences excessively high or low temperatures due to external factors such as a sudden increase in room occupancy, excessive equipment heat dissipation, or increased solar radiation outside the window, these issues cannot be resolved by simple water flow adjustment. Therefore, when such "non-terminal-driven deviations" are identified, water flow adjustment measures are not taken. Instead, other solutions are sought to avoid wasting resources and ineffective adjustments, ensuring the high efficiency and energy conservation of the central air conditioning system.

[0038] Based on the correlation and consistency analysis between the comfort deviation of each zone of the central air conditioning system and the terminal heat exchange status, the specific process is as follows: The system has a preset adjustment and monitoring cycle. After adjusting the water supply of each zone's air conditioning terminal, it collects the adjusted supply and return air temperature difference data of each zone's air conditioning terminal within the adjustment and monitoring cycle. This includes the slope of indoor temperature change, the slope of indoor humidity change, and the magnitude of supply and return air temperature difference change of each zone's air conditioning terminal.

[0039] The changes in supply and return air temperature difference, indoor temperature change slope, and indoor humidity change slope are time-aligned to construct a time-series correlation sequence of the environmental response after the adjustment action. This correlation sequence is compared with typical response sequences formed under similar adjustment conditions in the historical database. The consistency between the two in terms of change direction, change rate, and stabilization time is calculated to obtain the historical correlation consistency evaluation results of the current adjustment behavior of each zone of the central air conditioning system.

[0040] It should be noted that similar adjustment conditions refer to similar adjustment scenarios formed in historical data based on the air conditioning system's adjustment actions, environmental parameters, and operating status. These conditions may include, but are not limited to, the current environmental state (such as temperature, humidity, supply and return air temperature difference, etc.) and the adjustment measures taken (such as increasing water flow or adjusting supply air temperature). The key to similarity judgment is to confirm the similarity in change patterns and rates by comparing the environmental changes caused by the current adjustment behavior with the response sequences under similar conditions in historical data. The degree of consistency is determined by analyzing the differences between the direction, rate, and stabilization time of the environmental parameters after the current adjustment and the historical response sequences. The direction of change refers to the trend of environmental parameter change, and whether it conforms to the expected increase or decrease. The rate of change refers to the amount of change of a certain environmental parameter per unit time. The rate of change of the current environmental parameters is compared with the trend in past historical data. Through this matching, it can be determined whether the current environmental state conforms to historical patterns or whether there are any anomalies.

[0041] Settling time refers to the time required for environmental parameters to reach a stable state, and whether it is consistent with the settling time under similar adjustment scenarios in historical data. Specifically, if the current direction of change in the environmental response (such as temperature increase or decrease) matches the typical response direction in historical data, then the two sequences can be considered similar in the direction of change. Furthermore, the rate of change is also an important criterion for judging similarity. If the current rate of change is close to the rate of change of the typical historical sequence under the same adjustment conditions, then they can also be considered similar in terms of rate of change. Finally, the consideration of settling time is also an important aspect of similarity assessment. Settling time refers to the length of time the environmental response remains in a certain state during the adjustment process. If the settling time of the current sequence is within the range set for the typical historical response sequence, then it can be considered similar in terms of stability, and a historical correlation consistency evaluation result can be given. If the current adjustment behavior is considered highly consistent with the response sequence under similar conditions in historical data in terms of direction of change, rate of change, and settling time—that is, if historical data shows that under similar adjustment conditions, the direction of change for supply air temperature, humidity, or airflow velocity is increase or decrease, and the current adjustment should also change in the same direction—the system considers the adjustment behavior effective and can expect to achieve the predetermined temperature control effect. Conversely, if the current regulatory behavior is considered inconsistent with the response sequence under similar conditions in historical data in terms of direction of change, rate of change, and settling time, the regulatory strategy will be adjusted or it will be marked as abnormal regulation.

[0042] It's important to note that evaluating consistency requires considering consistency in the direction of change, rate of change, and settling time. In practical assessments, the first consideration is consistency in the direction of change, meaning whether parameters such as temperature and humidity exhibit similar trends after the adjustment. Consistent directions indicate that the initial effects of the adjustment are close to historical experience. Secondly, consistency in the rate of change is crucial, referring to the speed at which environmental parameters change at various times. If the difference between the rate of change of the current sequence and that of historical typical sequences is less than a preset threshold, it indicates that the dynamic response during adjustment is close to historical patterns, potentially suggesting that the adjustment behavior is reasonable. Finally, consistency in settling time is important, referring to the time it takes for environmental parameters to maintain a steady state after changing to that state. If the difference between the settling time of the current sequence and that of historical typical sequences is less than a preset threshold, it indicates good temporal stability of the environmental response, suggesting that the adjustment is effective and sustained. To accurately measure consistency, mathematical tools can be used to quantify the similarity of these characteristics. For example, the similarity of the direction of change can be measured by calculating the correlation coefficient of time series data, the mean squared error (MSE) can be used to quantify the difference in the rate of change, and the dynamic time warping (DTW) algorithm can be used to assess temporal consistency. Through these quantitative analysis methods, a clear evaluation result of historical correlation consistency can be given.

[0043] The historical correlation consistency evaluation results of the current regulation behavior of each zone of the central air conditioning system include the first correlation consistency and the second correlation consistency.

[0044] It should be noted that comparing this correlation sequence with typical response sequences formed under similar adjustment conditions in the historical database involves the following steps: First, after completing the water volume or terminal adjustment action for the target zone, an adjustment response monitoring window corresponding to that zone is automatically triggered. The start time of this monitoring window is based on the completion time of the adjustment command, and indoor temperature and humidity data for that zone are continuously collected for a preset time length. The raw temperature and humidity time series collected within the monitoring window are denoised and smoothed to eliminate the impact of sensor jitter and instantaneous disturbances on subsequent analysis, thereby obtaining a continuous environmental change curve before and after adjustment. After obtaining the smoothed temperature and humidity change curve, the system uses the initial value of the adjustment monitoring window as the baseline state to calculate the indoor temperature and humidity change amplitudes of the zone at the end of the monitoring window, while recording the actual time length from the effective adjustment action to reaching the change amplitude, thus forming a "change amplitude - time length" correspondence. The system further calculates the temperature and humidity changes per unit time based on this correspondence, serving as a characterization parameter of the environmental response rate triggered by the current adjustment action in that zone, reflecting the actual impact intensity of the adjustment action on the zone's environment. Subsequently, based on key operating conditions such as the initial indoor temperature, initial indoor humidity, terminal supply and return air temperature difference, and valve opening status of the zone within the current adjustment cycle, the system retrieves effective adjustment samples with similar initial conditions from historical adjustment records in the database, and extracts the temperature and humidity change rate intervals formed by these historical samples within the corresponding monitoring window after adjustment. The temperature and humidity change rates calculated by the current adjustment action are compared with the change rate intervals of historical effective adjustment samples. When the current change rate falls into or is close to the historical change rate interval, the current adjustment action is determined to be consistent with the historical effective adjustment behavior in the change rate dimension as the first consistency; conversely, when the current change rate deviates significantly from the historical change rate interval, the system determines that the current adjustment action is consistent with the historical effective adjustment behavior in the change rate dimension as the second consistency, and considers that the adjustment action has failed to effectively solve the comfort problem. Specifically, firstly, the change rate of effective adjustment behavior in historical data will form a range interval. For example, the change rate in historical data usually fluctuates within a certain range, such as between 0.5°C / h and 1.5°C / h, or the humidity change rate is between -0.05% / min and +0.05% / min. Then, during the current adjustment, the system will calculate the current rate of change (such as the rate of change of temperature, the rate of change of humidity, etc.) in real time and compare it with the range of rates of change of historical effective adjustment behavior.When the current rate of change falls within or is close to the rate of change of historically effective regulation behavior, it indicates that the current rate of change is similar to that of historically effective regulation behavior, conforming to historical patterns. Therefore, the current regulation action can be determined to have first consistency with historically effective regulation behavior in the rate of change dimension, indicating that the current regulation action may be effective and helps to solve comfort problems. If the current rate of change deviates significantly from the rate of change of historically effective regulation behavior, such as the current temperature change rate exceeding 1.5°C / h or falling below 0.5°C / h in historical data, or the humidity change rate exceeding the historical range, it indicates that the current regulation action differs significantly from historically effective regulation behavior in terms of rate of change. At this time, the system will determine that the current regulation action has second consistency with historically effective regulation behavior in the rate of change dimension, indicating that the current regulation action has failed to effectively solve the comfort problem, and it may be necessary to adjust the regulation strategy or parameters to better improve comfort. This indicates that the regulation strategy has failed or the regulation path is inappropriate, and the water volume regulation operation is temporarily suspended, maintaining the current valve state to avoid applying ineffective or interfering regulation to comfort deviations that cannot be improved by water volume means.

[0045] It should be noted that when the evaluation results indicate that the direction of the supply and return air temperature difference change caused by the current adjustment action is consistent with the direction of improvement in indoor temperature and humidity, and the response speed of the environmental variables matches the response range of historical effective adjustment samples, the system determines that the adjustment behavior has clear causal validity in the current zone, and accordingly confirms that the credibility level of this adjustment behavior is within the executable range. At this time, the system allows continued adjustments to the opening of the corresponding zone branch valves according to the predetermined adjustment direction, or maintaining the adjustment strategy in the next control cycle to observe its stability. If the monitoring results show a change in the supply and return air temperature difference, but the indoor temperature or humidity does not show a trend consistent with the comfort correction target, or its change magnitude is not within the preset response range of historical effective adjustment samples, then the adjustment behavior is judged to be invalid or has failed to achieve the expected effect, and it may be necessary to re-evaluate the adjustment strategy or parameters. Specifically, firstly, the change in the supply and return air temperature difference should cause corresponding changes in indoor temperature and humidity. If the supply and return air temperature difference changes, but the indoor temperature or humidity fails to change in the expected direction, or changes in the opposite direction (e.g., the supply and return air temperature difference increases, but the indoor temperature decreases), it indicates that the adjustment action has failed to effectively guide the indoor environment towards the comfort target. In this case, the causal consistency of the adjustment path is considered insufficient, as the adjustment action failed to produce the expected environmental response. Secondly, the change in indoor environmental parameters (temperature, humidity) caused by the change in the supply and return air temperature difference should be within the normal response range of historical effective adjustment samples. If, according to historical sample statistics, under current conditions, the change in indoor temperature caused by the change in the supply and return air temperature difference is usually within ±0.5℃, then if the temperature change caused by the current adjustment exceeds ±1℃, the change is considered to significantly deviate from the historical normal response range. This significant deviation indicates that the adjustment behavior is excessive or insufficient, failing to adjust the indoor environment within a reasonable range, and may lead to an uncomfortable environmental experience; therefore, it should also be judged as insufficient causal consistency. Finally, the response speed of the adjustment action should also conform to the pattern in historical data. If the response time to changes in the supply and return air temperature difference is too long, it indicates that the adjustment action has failed to affect the indoor environment in a timely and effective manner, which is also a manifestation of insufficient causal consistency. Therefore, the causal consistency of this adjustment path is determined to be insufficient, and further amplification of the adjustment action through water volume will be temporarily suspended. At the same time, this area will be marked as a potential non-hydraulic-dominated comfort deviation area, suggesting that subsequent control measures should pay more attention to non-water volume factors such as sudden load changes, changes in space usage behavior, or abnormal terminal performance.

[0046] The specific process for adjusting the safety constraints of each zone of the central air conditioning system is as follows: If the historical correlation consistency evaluation result of the current adjustment behavior of a certain zone of the central air conditioning system is the first correlation consistency, then the central air conditioning zone is marked as an active adjustment state region, thereby obtaining each active adjustment state region.

[0047] If the historical correlation consistency evaluation result of the current adjustment behavior is the second correlation consistency, then the central air conditioning zone is marked as the suppressed adjustment state region, thereby obtaining each suppressed adjustment state region.

[0048] The safety constraint control of each zone of the central air conditioning system is based on each active adjustment state zone and each suppression adjustment state zone.

[0049] It should be noted that the specific implementation process of safety constraint control for each zone of the central air conditioning system, based on each active adjustment state zone and each suppressed adjustment state zone, is as follows: A comprehensive constraint model is performed on the operating status of each zone of the central air conditioning system. Zones marked as active adjustment state zones are included in the enhanceable adjustment set. Under the premise of meeting the equipment's operational safety boundaries, they are allowed to continue positive adjustment within the adjustable range of water supply, air supply, or air supply temperature according to a preset step size, while their supply and return air temperature difference, indoor temperature and humidity, and terminal load changes are monitored in real time. Simultaneously, zones marked as suppressed adjustment state zones are included in the restricted adjustment set, and constraints are imposed on their adjustment amplitude and frequency. The preset step size of the corresponding terminals is reduced or frozen, allowing only maintenance adjustment under the condition that the minimum heat exchange requirement and equipment safety threshold are not exceeded. By comprehensively modeling the operating status of each zone of the central air conditioning system, combined with the division of active and suppressed adjustment state zones, safety constraint control for each zone is achieved. Its main objective is to optimize indoor temperature and humidity control by flexibly adjusting the operating parameters of the air conditioning system (such as water supply, air volume, and supply air temperature) while ensuring equipment safety, thus avoiding equipment risks or comfort issues caused by excessive adjustment. First, for zones marked as "active adjustment zones," the system will include them in the "enhanced adjustment set" and, within the equipment's safe operating boundaries, allow them to perform positive adjustments within the adjustable range of water supply, air volume, or supply air temperature according to preset step sizes. This means that the adjustment range in this zone is relatively large, and it can be flexibly adjusted based on real-time monitoring data (such as supply and return air temperature difference, indoor temperature and humidity, and changes in terminal load) to quickly respond to environmental changes and optimize comfort. The system will monitor these changes in real time to ensure that the adjustment process does not exceed the equipment's safe operating boundaries, so as to avoid equipment damage or failure to meet comfort requirements. Second, for zones marked as "suppressed adjustment zones," the system will include them in the "restricted adjustment set," constraining their adjustment range and frequency, and reducing or freezing the adjustment step size of their corresponding terminals. This means that in these areas, the adjustment range is strictly limited, allowing only maintenance adjustments without exceeding minimum heat exchange requirements and equipment safety thresholds. This avoids unnecessary equipment burden or energy waste caused by over-adjustment in these areas, while ensuring that the equipment still maintains minimum heat exchange requirements to sustain basic environmental control. It enables flexible adjustment of temperature and humidity in each zone while ensuring equipment operational safety, improving the energy efficiency and comfort control of the air conditioning system. Through precise zoning and dynamic adjustment strategies, damage to the equipment caused by over-adjustment can be avoided, while ensuring that the adjustment response in each zone is as close as possible to the target demand.

[0050] The process of unifying and coordinating the control commands of each zone of the central air conditioning system is as follows: Obtain the pipeline capacity parameters corresponding to each zone of the central air conditioning system, including the maximum allowable flow rate of the branch and the current flow rate occupancy ratio. At the same time, read the rated heat exchange capacity, rated water volume range and allowable adjustment step size of each air conditioning terminal equipment.

[0051] Based on the maximum allowable flow rate of each branch circuit of the central air conditioning system and the current flow rate occupancy ratio, the upper limit of the remaining water volume that can be adjusted in each central air conditioning system under the current operating state is obtained, and it is mapped to the incremental cooling and heating demand of each central air conditioning system.

[0052] It's important to clarify that water volume and flow rate refer to the flow of chilled / hot water used for heat exchange in a central air conditioning system, particularly the water flow through air conditioning terminal devices (such as fan coil units and air conditioning terminals). Chilled or hot water from the central air conditioning system is transported to each terminal device via a piping system for heat exchange, thereby regulating indoor temperature. Specifically, water volume refers to the volume of water passing through the terminal device per unit time, while flow rate refers to the rate at which water flows through the pipes, i.e., the volume of water flowing per unit time. The higher the flow rate, the greater the cooling or heating capacity the terminal device can provide. Pipes have a maximum allowable flow rate, which is the maximum flow rate the pipe can withstand; this value is usually set during the design phase. The current flow occupancy ratio represents the ratio between the current actual flow rate and the maximum flow rate, used to determine if there is an adjustable margin. This determines whether there is remaining chilled / hot water available for adjustment in each zone. When there is excess flow in the piping of a central air conditioning zone, the cooling or heating demand of that zone is adjusted by increasing or decreasing the flow rate. This process involves mapping the remaining flow rate (i.e., the difference between the current flow occupancy ratio and the maximum allowable flow rate) to an increase in cooling or heating demand; this mapping relationship can be achieved through the rated heat exchange capacity of the air conditioning terminal devices. Specifically, the system acquires pipeline flow data for each zone, including the maximum allowable flow rate and the current flow occupancy percentage. The maximum allowable flow rate is typically determined during system design and represents the highest water flow rate the piping system can handle during normal operation. The current flow occupancy percentage represents the proportion of water currently being used in the system relative to the maximum flow rate, from which the currently available remaining flow rate can be calculated—the maximum flow rate minus the current flow rate. Rated heat exchange capacity refers to the maximum cooling or heating capacity that the air conditioning terminal can provide per unit time, and is usually proportional to the flow rate. Assuming that each unit of flow rate corresponds to a certain heat exchange capacity, the additional cooling or heating capacity that can be provided can be calculated based on the remaining flow rate. For example, if the remaining flow rate is 2 liters / minute, and each liter of flow rate can provide 100W of cooling or heating capacity, then the incremental cooling or heating capacity provided by the remaining flow rate is 200W per minute. This mapping relationship allows the system to accurately calculate the incremental cooling or heating capacity demand based on the remaining flow rate.

[0053] It's important to note that the upper limit of remaining water volume determines whether the air conditioning terminal equipment can meet or exceed the cooling and heating demands of the current zone. In each zone's central air conditioning system, water volume and flow rate determine the degree of heat exchange. During operation, the upper limit of remaining adjustable water volume can be determined based on the current flow rate occupancy ratio and the maximum allowable flow rate, calculated by subtracting the currently occupied flow rate from the maximum allowable flow rate. This remaining flow rate represents the amount of water still usable in the system, indicating whether the air conditioning system can increase cooling and heating capacity without exceeding the equipment's rated capacity. If the remaining flow rate is large, the cooling or heating supply can be increased by increasing the water volume, thereby meeting higher temperature control requirements for the zone. By mapping the remaining water volume, the required increase in cooling and heating capacity can be derived based on the rated heat exchange capacity of the terminal equipment. The heat exchange capacity of air conditioning equipment is usually proportional to the flow rate; in other words, as the water flow rate increases, the cooling and heating capacity that the terminal equipment can handle also increases. Therefore, the remaining water volume is directly linked to the increase in cooling and heating demand. The size of the upper limit of remaining water volume determines the maximum increase in cooling and heating capacity the system can provide, ensuring the system can be flexibly adjusted.

[0054] The incremental cooling and heating demand of each zone of the central air conditioning system is matched and verified with the rated heat exchange capacity of the corresponding zone's air conditioning terminal equipment.

[0055] It should be noted that obtaining the upper limit of the remaining water volume available for adjustment in each zone of the central air conditioning system under the current operating state is specifically as follows: First, the maximum allowable flow rate parameter of the corresponding branch of the target zone is extracted. This parameter is the upper limit flow rate value allowed by the branch under design and safe operating conditions, stored in the database. Simultaneously, the actual flow occupancy ratio of the zone is obtained through flow sensors. This occupancy ratio reflects the flow level allocated and used by the branch under the current operating state. By subtracting the occupied flow from the maximum allowable flow rate, the unused adjustable flow space of the zone at the current moment is obtained, thus forming the upper limit of the remaining water volume available for further adjustment in the current operating state. This upper limit of the remaining water volume is not a fixed value, but is dynamically updated as valve openings change, flow redistribution occurs in other zones, and the operating conditions of the main unit change during system operation. It serves as a hard constraint condition for water allocation in subsequent adjustment decisions, ensuring that any adjustment behavior will not lead to branch overload, abnormal pressure difference, or hydraulic instability, thereby guaranteeing the overall safety and stability of the central air conditioning system.

[0056] It should be noted that the matching and verification of the incremental cooling and heating demand of each zone of the central air conditioning system with the rated heat exchange capacity of the corresponding zone's air conditioning terminal equipment is as follows: If the incremental cooling and heating demand is less than or equal to the sum of the available heat exchange margins of all effective terminals in that zone, the demand is determined to be feasible at the terminal capacity level, and the system proceeds to the subsequent water volume and valve adjustment calculation stage; if the incremental cooling and heating demand is greater than the sum of the available heat exchange margins in that zone, it is determined that there is a terminal capacity limitation, and the system reduces the incremental cooling and heating demand, retaining only the portion within the terminal's executable range as the effective adjustment target for this control cycle, while the remaining unmet portion is postponed to subsequent control cycles or recorded as long-term load anomaly reference information. During the matching and verification process, the directionality of the incremental cooling and heating demand is also considered for constraint judgment. When the demand is to increase cooling or heating, only the available heat exchange margin with upward adjustment space at the terminal under the current state is counted; when the demand is to decrease cooling or heating, the downward adjustment space of the terminal is evaluated under the condition of not falling below the minimum stable operating threshold, thereby avoiding excessive shutdown of terminals or entry into unstable operating ranges. Through the above process, the system achieves dynamic matching and verification between the incremental demand for cooling and heating and the rated and real-time heat exchange capacity of the air conditioning terminal equipment, ensuring that the subsequently generated adjustment commands are executable and safe to operate at the engineering level.

[0057] The unified coordination of the refrigeration commands for each zone of the central air conditioning system also includes: Within a preset statistical period, the comfort index and the response effect after adjustment of the same zone are summarized and statistically analyzed to determine the change in the adjustment effect of the zone. The statistical results of the zone in multiple consecutive statistical periods are obtained and output in the form of running prompt information.

[0058] It should be noted that within a preset statistical period, the system summarizes and statistically analyzes the comfort deviation values ​​and corresponding adjustment status judgment results generated by the same central air conditioning zone within that period. The system focuses on counting the number of times the comfort deviation value of a zone exceeds the comfort deviation threshold stored in the database, and the number of times the zone is identified as an area of ​​suppressed adjustment within that statistical period. The system compares these counts with the corresponding preset thresholds in the database. When the cumulative number of times a zone's comfort deviation value exceeds the threshold reaches or exceeds the preset threshold within the same statistical period, or when the cumulative number of times the zone is marked as an area of ​​suppressed adjustment reaches or exceeds the preset threshold, the system determines that the zone exhibits weak or limited adjustment characteristics within that statistical period. Furthermore, the system accumulates and records the above statistical results for the same partition within multiple consecutive statistical periods, and determines whether the partition meets the above frequency threshold condition multiple times within the consecutive statistical periods. When the same partition meets the frequency threshold condition within multiple consecutive statistical periods, the system summarizes and organizes the statistical results corresponding to the partition and generates corresponding operation prompt information output. This is used to prompt maintenance personnel to pay attention to the high frequency of comfort deviation or adjustment limitation in the partition during long-term operation, thereby providing a basis for subsequent operation inspection or manual intervention, without making mandatory judgments on specific adjustment strategies or equipment status.

[0059] like Figure 6 As shown, the second aspect of the present invention also provides a schematic diagram of a zone control system module for a central air conditioning system. The system includes: an air conditioning terminal effectiveness screening and environmental data acquisition module, which is used to collect temperature and humidity data of air conditioning terminals in each zone of the central air conditioning system, screen the effective working status of air conditioning terminals in each zone of the central air conditioning system, and obtain the effective air conditioning terminals in each zone of the central air conditioning system.

[0060] The comfort assessment and deviation-driven adjustment module based on human body thermal balance is used to acquire the effective air conditioning terminal operation data of each zone of the central air conditioning system and the indoor environmental data of each zone of the central air conditioning system, import them into the human body thermal balance model, output the comfort index of each zone of the central air conditioning system, determine the source of air conditioning deviation of each zone of the central air conditioning system based on the comfort deviation of each zone of the central air conditioning system, and dynamically adjust the water supply of each zone of the central air conditioning system's air conditioning terminal.

[0061] The module for coordinating zone safety constraints and adjustment commands based on correlation consistency is used to control the safety constraints of each zone of the central air conditioning system based on the correlation consistency analysis between the comfort deviation of each zone and the terminal heat exchange status, and to coordinate the regulated commands of each zone of the central air conditioning system.

[0062] Example 2: Based on Example 1, after classifying the comfort deviations of each zone in the air conditioning system, the central air conditioning system will continue to conduct detailed operating condition analysis based on the temperature and humidity changes in each zone and the operating status of the air conditioning terminals. Through monitoring and analyzing the pressure and temperature data of each zone, the system will be divided into two main operating states: one is a large pressure fluctuation, exceeding the preset pressure fluctuation threshold, reflecting significant changes in the air conditioning system load, such as demand fluctuations caused by changes in personnel density, equipment start-up and shutdown; the other is a relatively stable pressure change, not exceeding the preset pressure fluctuation threshold, characterizing the normal load condition when the air conditioning system is operating stably. In addition to these two basic operating conditions, the system also monitors some abnormal operating conditions: one type is instantaneous pressure fluctuations caused by system startup, pipeline valve operation, or short-term airflow changes. These fluctuations do not have a long-term impact on system stability and are therefore marked as "invalid disturbances," not participating in subsequent adjustment decisions. The other type is extreme pressure fluctuations, which are drastic pressure changes caused by sudden faults (such as pipeline blockage or fan failure). These fluctuations exceed the preset pressure fluctuation threshold and last for a longer period than the preset duration threshold. For example, sudden pressure increases or decreases caused by pipeline blockage or fan failure will trigger the system's fault detection mechanism and immediately enter the fault handling process. Through this dynamic operating condition classification based on pressure and temperature changes, the system can make more precise adjustments under different operating conditions, avoid ineffective adjustments, and ensure stable system operation and timely response to abnormal situations.

[0063] like Figure 7 As shown, Figure 7 This is a diagram of the central air conditioning system room, displaying real-time data for each device within the zone, including indoor temperature, humidity, and airflow. It also shows the comfort index for that zone and the actual effect of adjustments. The diagram uses charts to illustrate temperature curve changes, helping users monitor and adjust the operation of the air conditioning terminals to ensure indoor comfort. By collecting and displaying comfort index, temperature, and humidity data in real time within the zone, the system can determine comfort deviations and dynamically adjust the air conditioning terminals accordingly.

[0064] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for zoned control of a central air conditioning system, characterized in that, The method includes: Collect temperature and humidity data from the air conditioning terminals in each zone of the central air conditioning system, filter the effective working status of the air conditioning terminals in each zone of the central air conditioning system, and obtain the effective air conditioning terminals in each zone of the central air conditioning system. The effective operation data of the air conditioning terminals of each zone of the central air conditioning system and the indoor environmental data of each zone of the central air conditioning system are imported into the human body thermal balance model. The comfort index of each zone of the central air conditioning system is output. Based on the comfort deviation of each zone of the central air conditioning system, the source of the air conditioning deviation of each zone of the central air conditioning system is determined and the water supply of the air conditioning terminals of each zone of the central air conditioning system is dynamically adjusted. The specific process for determining the source of air conditioning deviation in each zone of the central air conditioning system is as follows: Extract the comfort index of each zone of the central air conditioning system, and subtract the comfort index of each zone from the comfort target value stored in the database to obtain the comfort deviation value of each zone. If the comfort deviation value of a certain zone of the central air conditioning system is higher than the comfort deviation threshold stored in the database, then the comfort deviation of that zone of the central air conditioning system is classified. If the comfort deviation value of a certain zone of the central air conditioning system is lower than or equal to the comfort deviation threshold stored in the database, then it is not necessary to classify the comfort deviation of that zone of the central air conditioning system. The process of dividing the comfort deviation of this zone of the central air conditioning system includes: Extract the supply and return air temperature difference of the central air conditioning zone. If the supply and return air temperature difference of the zone is higher than or equal to the expected supply and return air temperature difference stored in the database, the comfort deviation of the central air conditioning zone is recorded as the first terminal adjustable deviation. Otherwise, the comfort deviation of the central air conditioning zone is recorded as the second non-terminal dominant deviation. The specific process for dynamically adjusting the water supply of each zone's air conditioning terminal in the central air conditioning system is as follows: Extract the comfort index of each zone of the central air conditioning system, and dynamically adjust the water supply of each zone's air conditioning terminal according to the effectiveness of each zone's air conditioning terminal. The corresponding adjustment of the air conditioning water supply of each zone's air conditioning system is only performed when the comfort deviation is classified as the first terminal adjustable deviation. Based on the correlation and consistency analysis between the comfort deviation of each zone of the central air conditioning system and the terminal heat exchange status, the safety constraint control of each zone of the central air conditioning system is implemented, and the adjustment commands of each zone of the central air conditioning system are uniformly coordinated. The specific process of the correlation consistency analysis between the comfort deviation of each zone of the central air conditioning system and the terminal heat exchange status is as follows: The preset adjustment monitoring cycle is used to collect the supply and return air temperature difference data of the central air conditioning units after adjusting the water supply of each zone's air conditioning terminal within the adjustment monitoring cycle. This includes the slope of indoor temperature change, the slope of indoor humidity change, and the magnitude of supply and return air temperature difference change of each zone's air conditioning terminal. The changes in supply and return air temperature difference, indoor temperature change slope, and indoor humidity change slope are time-aligned to construct a time-series correlation sequence of environmental response after the adjustment action. This correlation sequence is compared with typical response sequences formed under similar adjustment conditions in the historical database. The consistency between the two in terms of change direction, change rate, and stabilization time is calculated to obtain the historical correlation consistency evaluation results of the current adjustment behavior of each zone of the central air conditioning system. The historical correlation consistency evaluation results of the current adjustment behavior of each zone of the central air conditioning system include the first correlation consistency and the second correlation consistency. The specific process for regulating the safety constraints of each zone of the central air conditioning system is as follows: If the historical correlation consistency evaluation result of the current adjustment behavior of a certain zone of the central air conditioning is the first correlation consistency, the central air conditioning zone is marked as an active adjustment state region, thereby obtaining each active adjustment state region; If the historical correlation consistency evaluation result of the current adjustment behavior is the second correlation consistency, then the central air conditioning zone is marked as the suppressed adjustment state region, thereby obtaining each suppressed adjustment state region; The safety constraint control of each zone of the central air conditioning system is based on each active adjustment state zone and each suppression adjustment state zone. The process of unifying and coordinating the adjustment commands for each zone of the central air conditioning system is as follows: Obtain the pipeline capacity parameters corresponding to each zone of the central air conditioning system, including the maximum allowable flow rate of the branch and the current flow rate occupancy ratio. At the same time, read the rated heat exchange capacity, rated water volume range and allowable adjustment step size of each air conditioning terminal device. Based on the maximum allowable flow rate of each branch of the central air conditioning system and the current flow rate occupancy ratio, the upper limit of the remaining water volume that can be adjusted in each zone of the central air conditioning system under the current operating state is obtained, and it is mapped to the incremental cooling and heating demand of each zone of the central air conditioning system. The incremental cooling and heating demand of each zone of the central air conditioning system is matched and verified with the rated heat exchange capacity of the corresponding zone's air conditioning terminal equipment.

2. The method for zoned control of a central air conditioning system according to claim 1, characterized in that, The specific process for screening the effective operating status of the air conditioning terminals in each zone of the central air conditioning system is as follows: The supply and return air temperatures of the air conditioning terminals in each zone of the central air conditioning system are collected. The difference between the supply and return air temperatures of the air conditioning terminals in each zone of the central air conditioning system is calculated to obtain the supply and return air temperature difference of the air conditioning terminals in each zone of the central air conditioning system. The supply and return air temperature difference of the air conditioning terminals in each zone of the central air conditioning system is compared with the heat exchange threshold stored in the database. If the supply and return air temperature difference of the air conditioning terminal in a certain zone of the central air conditioning system is less than or equal to the heat exchange threshold, the air conditioning terminal in that zone of the central air conditioning system is marked as an invalid terminal, otherwise it is marked as an effective terminal. In this way, the effective air conditioning terminals of each zone of the central air conditioning system are obtained.

3. The method for zoned control of a central air conditioning system according to claim 2, characterized in that, The specific process for obtaining the comfort index of each zone of the central air conditioning system is as follows: The system acquires the operational data of the effective air conditioning terminals in each zone of the central air conditioning system and the indoor environmental data of each zone. The operational data of the effective air conditioning terminals in each zone includes supply air temperature, return air temperature, and supply and return air temperature difference. The indoor environmental data of each zone includes indoor temperature, humidity, and air flow velocity. The system imports the operational data of the effective air conditioning terminals in each zone and the indoor environmental data of each zone into the human body thermal balance model to obtain the comfort index of each zone of the central air conditioning system.

4. The method for zoned control of a central air conditioning system according to claim 1, characterized in that, The unified coordination of adjustment commands for each zone of the central air conditioning system also includes: Within a preset statistical period, the comfort index and the response effect after adjustment of the same zone are summarized and statistically analyzed to determine the change in the adjustment effect of the zone. The statistical results of the zone in multiple consecutive statistical periods are obtained and output in the form of running prompt information.

5. A system applying the zoning control method for a central air conditioning system as described in any one of claims 1-4, comprising: The air conditioning terminal effectiveness screening and environmental data acquisition module is used to collect temperature and humidity data of air conditioning terminals in each zone of the central air conditioning system, screen the effective working status of air conditioning terminals in each zone of the central air conditioning system, and obtain the effective air conditioning terminals in each zone of the central air conditioning system. The comfort assessment and deviation-driven adjustment module based on human body thermal balance is used to acquire the effective air conditioning terminal operation data of each zone of the central air conditioning and the indoor environmental data of each zone of the central air conditioning and import them into the human body thermal balance model. The output is the comfort index of each zone of the central air conditioning. Based on the comfort deviation of each zone of the central air conditioning, the source of the air conditioning deviation of each zone of the central air conditioning is determined and the water supply of each zone of the central air conditioning is dynamically adjusted. The module for coordinating zone safety constraints and adjustment commands based on correlation consistency is used to control the safety constraints of each zone of the central air conditioning system based on the correlation consistency analysis between the comfort deviation of each zone and the terminal heat exchange status, and to coordinate the regulated commands of each zone of the central air conditioning system.

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