Control method, system, device and equipment of water chiller and medium

Abstract

The application discloses a kind of control method, system, device, equipment and medium of cold water air conditioner.It is to be inputed to the load prediction model that is established in advance to the indoor heat load parameter and environment parameter obtained to carry out load prediction to the load required by cold water air conditioner current time to output current time load, wherein, environment parameter includes outdoor relative humidity and indoor relative humidity;According to outdoor relative humidity, indoor relative humidity, current time load and the maximum load of cold water air conditioner, determine target operating mode;Adjust the outlet water temperature of cold water unit to target chilled water temperature corresponding to target operating mode, and adjust the water flow of chilled water according to current time load and target return water temperature difference corresponding to target operating mode to make the return water temperature difference of cold water unit maintain target return water temperature difference.The application selects the most suitable target operating mode by combining load prediction and environment parameters to match actual demand, thereby improving system energy efficiency and saving energy consumption.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of air conditioner technology, and in particular to a control method, system, device, equipment and medium for a chilled water air conditioner. Background Technology

[0002] In practical applications of central air conditioning systems, dynamic changes in outdoor environmental conditions and fluctuations in the number of indoor occupants lead to corresponding changes and fluctuations in building load. When designing and selecting central air conditioning systems, the maximum building load is often used as a reference standard for choosing air conditioning units. This results in the system frequently experiencing "low load, high flow" operation, leading to significant energy waste. This is particularly true for central air conditioning systems widely used in large public buildings, where the core objective of the control system is to minimize overall system energy consumption while fully meeting the terminal load demands. With the continuous improvement of the economic level in Northwest China, the energy consumption of building air conditioning systems in this region is also increasing. Simultaneously, the region has typical dry climate characteristics in summer, characterized by high outdoor dry-bulb temperatures and low wet-bulb temperatures and relative humidity. Under these conditions, the primary function of the air conditioning system is to cool the indoor environment. Traditional solutions use low-temperature chilled water to meet indoor needs. However, under dry climate conditions, low-temperature chilled water not only leads to a decrease in the coefficient of performance (COP) of the chiller unit but also generates condensate due to excessive cooling, increasing system operation and maintenance costs and the risk of bacterial growth at the terminal. Therefore, there is an urgent need for an improved method suitable for such dry areas to achieve energy saving and efficiency improvement of air conditioning systems. Summary of the Invention

[0003] This invention provides a control method, system, device, equipment, and medium for chilled water air conditioners, aiming to solve the problems of high energy consumption and low system energy efficiency of existing chilled water air conditioners in dry areas.

[0004] In a first aspect, embodiments of the present invention provide a control method for a chilled water air conditioner, the method comprising:

[0005] The acquired indoor heat load parameters and environmental parameters are input into a pre-established load prediction model to predict the load required by the chilled water air conditioner at the current time and output the load at the current time. The environmental parameters include outdoor relative humidity and indoor relative humidity.

[0006] The target operating mode is determined based on the outdoor relative humidity, the indoor relative humidity, the current time load, and the maximum load of the chilled water air conditioner.

[0007] Adjust the outlet water temperature of the chiller unit to the target chilled water temperature corresponding to the target operating mode, and adjust the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode so that the return water temperature difference of the chiller unit maintains the target return water temperature difference.

[0008] Secondly, the present invention also provides a chilled water air conditioning system, comprising: an environmental monitoring module, a chiller unit, an indoor terminal, a cooling tower, a distribution module, and a control module. The control module is connected to the environmental monitoring module, the distribution module, and the chiller unit respectively. The chiller unit exchanges heat with the cooling tower and the indoor terminal through the distribution module. The control module is used to execute the above method to control the operation of the system.

[0009] Thirdly, the present invention also provides a control device for a chilled water air conditioner, including a unit for performing the above-described method.

[0010] Fourthly, embodiments of the present invention also provide a computer device, the computer device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the above-described method.

[0011] Fifthly, embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the above-described method.

[0012] This invention provides a control method, system, device, equipment, and medium for a chilled water air conditioner. The method includes: inputting acquired indoor heat load parameters and environmental parameters into a pre-established load prediction model to predict the load required by the chilled water air conditioner at the current time and outputting the current time load, wherein the environmental parameters include outdoor relative humidity and indoor relative humidity; determining a target operating mode based on the outdoor relative humidity, the indoor relative humidity, the current time load, and the maximum load of the chilled water air conditioner; adjusting the outlet water temperature of the chiller unit to the target chilled water temperature corresponding to the target operating mode; and adjusting the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode to maintain the return water temperature difference of the chiller unit at the target return water temperature difference. This invention obtains indoor heat load parameters and environmental parameters, inputs them into a pre-established load prediction model to obtain the current time load, and then determines the target operating mode by combining outdoor relative humidity, indoor relative humidity, and the relationship between the current time load and the maximum load. Based on the target operating mode, the chiller's outlet water temperature is adjusted to the corresponding target chilled water temperature, and the chilled water flow rate is adjusted based on the current time load and the target return water temperature difference to maintain that target return water temperature difference. This ensures that the chiller's operating state matches the actual load demand and environmental conditions, avoiding the mismatch between actual cooling demand and the continuous use of low-temperature chilled water in most dry areas, as seen in existing technologies. It also reduces energy waste caused by maintaining low-temperature operation when low-temperature chilled water is not needed, thereby improving the energy efficiency of the chiller system and achieving energy savings. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of a chilled water air conditioning system according to an embodiment of the present invention;

[0015] Figure 2 This is a schematic flowchart of the control method for a chilled water air conditioner according to an embodiment of the present invention;

[0016] Figure 3 for Figure 2 A flowchart illustrating the sub-steps of step S120;

[0017] Figure 4 for Figure 2 A flowchart illustrating the sub-steps of step S120;

[0018] Figure 5for Figure 2 A flowchart illustrating the sub-steps of step S130;

[0019] Figure 6 for Figure 2 A flowchart illustrating another sub-step of step S130;

[0020] Figure 7 for Figure 2 A flowchart illustrating another sub-step of step S130;

[0021] Figure 8 This is a schematic diagram of the steps for constructing a load prediction model for the control method of a chilled water air conditioner according to an embodiment of the present invention;

[0022] Figure 9 A schematic block diagram of a control device for a chilled water air conditioner provided in an embodiment of the present invention;

[0023] Figure 10 This is a schematic block diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0024] 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, not all, of the embodiments of the present invention. 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.

[0025] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0026] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0027] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0028] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrases "if determined" or "if [described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [described condition or event] is detected," or "in response to detection of [described condition or event]."

[0029] With the increasing demand for building air conditioning in arid regions, chilled water air conditioning systems are widely used due to their ability to meet large-area cooling needs. However, existing chilled water air conditioning system designs are mostly based on maximum load and do not fully consider the high temperature and low humidity characteristics of arid summers, continuing to use low-temperature chilled water for cooling in most operating conditions. This operating mode is mismatched with actual load demand, resulting not only in unnecessary energy consumption but also in low overall system energy efficiency, making it difficult to meet the development needs of energy conservation and efficiency improvement in arid regions.

[0030] Therefore, embodiments of the present invention propose a control method, system, device, equipment, and medium for chilled water air conditioning, which can avoid energy waste from the continuous use of low-temperature chilled water in arid regions, thereby improving system energy efficiency and saving energy consumption. Details are as follows:

[0031] First, to facilitate understanding of the control method for the chilled water air conditioner in this embodiment of the invention, it is necessary to describe the structure of the chilled water air conditioner system in this embodiment. (Refer to...) Figure 1 The chilled water air conditioning system of this embodiment includes: an environmental monitoring module, a chiller unit, an indoor terminal, a cooling tower, a distribution module, and a control module. The control module is connected to the environmental monitoring module, the distribution module, and the chiller unit respectively. The chiller unit exchanges heat with the cooling tower and the indoor terminal through the distribution module. The control module is used to execute the control method of the chilled water air conditioning system of this embodiment to control the operation of the system.

[0032] Specifically, the chilled water air conditioning system in this embodiment includes an environmental monitoring module, a chiller unit, indoor terminals, a cooling tower, a distribution module, and a control module. These modules work together to regulate the indoor environment through cooling. The specific structure and connections are as follows: The environmental monitoring module collects indoor and outdoor environmental parameters in real time, including but not limited to indoor and outdoor temperature and humidity (such as indoor relative humidity and outdoor relative humidity), and transmits the collected parameters to the control module in real time, providing data support for subsequent load forecasting and operation mode determination. The chiller unit is the core refrigeration equipment of the system, used to produce chilled water, and transfers cooling capacity through its connection with the distribution module. Indoor terminals are installed in the indoor spaces requiring cooling, used to release the cooling capacity of the chilled water into the indoor environment to achieve indoor cooling. The cooling tower receives the high-temperature cooling water discharged from the chiller unit, lowers the water temperature through heat dissipation, and then returns it to the chiller unit, ensuring the continuous operation of the refrigeration cycle. The distribution module includes a cooling water pump, a chilled water pump, a distributor, and a collector, responsible for the transfer of cooling and heating capacity. The chilled water pump connects the indoor terminals to the chiller unit, delivering the chilled water prepared by the chiller unit to the distributor. One end of the distributor connects to the chilled water pump, and the other end connects to the indoor terminals, distributing the chilled water to each terminal. The collector connects one end to the indoor terminals and the other end to the chiller unit, collecting the chilled water after heat exchange at the indoor terminals and returning it to the chiller unit. The cooling water pump connects to the cooling tower and the chiller unit, driving the cooling water to circulate between them for heat exchange. The control module connects to the environmental monitoring module, the distribution module, and the chiller unit. It receives parameters from the environmental monitoring module, executes chiller air conditioning control methods (such as load forecasting, determining the target operating mode, adjusting outlet water temperature and flow rate), and sends control commands to the distribution module and the chiller unit to regulate the overall system operation and ensure efficient adaptation to actual cooling needs.

[0033] Please see Figure 2 , Figure 2 The flowchart of the control method for a chilled water air conditioner provided in the embodiment of the present invention is shown. The method includes steps S110-S130.

[0034] S110. Input the acquired indoor heat load parameters and environmental parameters into the pre-established load prediction model to predict the load required by the chilled water air conditioner at the current time and output the load at the current time. The environmental parameters include outdoor relative humidity and indoor relative humidity.

[0035] In this embodiment, indoor heat load parameters refer to relevant parameters affecting changes in indoor heat, including the number of people indoors and the heat generated by equipment operation. Environmental parameters refer to external and indoor environmental information related to air conditioning operation, including outdoor and indoor relative humidity. The load prediction model refers to a pre-built model used to predict the air conditioning load based on input parameters. The current time load refers to the cooling load that the chilled water air conditioner needs to undertake at the current moment, calculated by the load prediction model. Specifically, indoor heat load parameters can be obtained through corresponding detection devices or sensors, such as obtaining the number of people indoors through a people counting device, and obtaining relevant equipment operation information through an equipment operation monitoring device to calculate the heat generated, such as the power of equipment and lighting; outdoor and indoor relative humidity in the environmental parameters can be collected by temperature and humidity sensors respectively. Various models can be used for the load prediction model, which are not limited here. The process of establishing the load prediction model is as follows: collect historical indoor heat load parameters, environmental parameters, and corresponding historical load data; based on these historical data, build a model through training and optimization so that it can output the corresponding load prediction results based on the input indoor heat load parameters and environmental parameters. When forecasting the current time load, real-time indoor heat load parameters and environmental parameters are input into the established load forecasting model. After calculation and processing, the model outputs the current time load. This step provides an accurate load basis for subsequently determining the target operating mode. By accurately predicting the current required load, the air conditioning system can be adjusted to better meet actual needs, which helps improve the rationality and energy efficiency of system operation.

[0036] S120. Determine the target operating mode based on the outdoor relative humidity, the indoor relative humidity, the current time load, and the maximum load of the chilled water air conditioner;

[0037] In this embodiment, the maximum load refers to the maximum cooling load that the chilled water air conditioning system can handle during its design. The target operating mode refers to the optimal operating mode of the chilled water air conditioning system under current conditions, determined after comprehensive judgment based on various parameters. Specifically, firstly, the obtained outdoor relative humidity and indoor relative humidity are compared to determine their relative magnitudes. Simultaneously, calculations are performed based on the current time load and the maximum load of the chilled water air conditioning system to analyze the proportion of the current load within the maximum load. Then, combining the comparison results of outdoor and indoor relative humidity and the proportion of the current time load to the maximum load, a target operating mode suitable for the current operating conditions is comprehensively judged and determined. For example, the target operating mode may include the following: The first mode is suitable for situations where the outdoor relative humidity is greater than the indoor relative humidity, in which case the system prioritizes dehumidification and adopts matching operating parameters; the second mode is suitable for situations where the outdoor relative humidity is less than the indoor relative humidity and the current time load accounts for a high proportion of the maximum load, by appropriately increasing the chilled water temperature parameter to reduce unnecessary energy consumption while ensuring cooling effect; the third mode is suitable for situations where the outdoor relative humidity is less than the indoor relative humidity and the current time load accounts for a low proportion of the maximum load, by appropriately increasing the chilled water temperature difference parameter to further reduce the energy consumption of the distribution system. By dynamically selecting the operating mode based on humidity conditions and load size, this approach comprehensively considers both factors, ensuring the system operates in its most suitable state under different conditions. This avoids energy waste that might occur with a single mode, thereby reducing overall system energy consumption and improving operational efficiency. This step provides direction for the system's dynamic adjustment, precisely matching the operating mode with actual needs, laying the foundation for subsequent parameter adjustments, and helping the system achieve its energy-efficient goals.

[0038] S130. Adjust the outlet water temperature of the chiller unit to the target chilled water temperature corresponding to the target operating mode, and adjust the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode so that the return water temperature difference of the chiller unit maintains the target return water temperature difference.

[0039] In this embodiment, a chiller unit refers to equipment used to prepare chilled water; the outlet water temperature refers to the temperature of the chilled water output by the chiller unit; the target chilled water temperature refers to the chilled water outlet temperature corresponding to the target operating mode; the target return water temperature difference refers to the temperature difference between the inlet and outlet water during the circulation process of the chilled water required by the target operating mode; the chilled water flow rate refers to the amount of chilled water circulating in the system per unit time; and the return water temperature difference refers to the difference between the return water temperature and the outlet water temperature after the chilled water has circulated in the system. Specifically, firstly, based on the determined target operating mode, the preset parameter correspondence is queried to obtain the target chilled water temperature and the target return water temperature difference under that mode. The chiller unit receives a temperature regulation command and adjusts the outlet water temperature to the target chilled water temperature by regulating the compressor operating frequency or valve opening, ensuring that the real-time output chilled water temperature reaches the target chilled water temperature corresponding to the target operating mode. Next, based on the predicted current load and the target return water temperature difference corresponding to the target operating mode, the required chilled water flow rate is determined through calculation. Then, the equipment responsible for delivering chilled water in the chilled water system is adjusted to ensure that the actual chilled water flow rate reaches the calculated required flow rate, thereby maintaining the chiller unit's return water temperature difference within the target range. This step, through precise adjustment of the outlet water temperature and flow rate, ensures that the air conditioning system operates stably according to the target operating mode, achieving stable operation of the air conditioning system under optimal conditions. This ensures the cooling effect of the terminal equipment while minimizing system energy consumption, optimizing system energy consumption, and improving overall operating efficiency.

[0040] In one embodiment, such as Figure 3 As shown, step S120 includes: S121-S123.

[0041] S121. Determine whether the outdoor relative humidity is greater than the indoor relative humidity to obtain a humidity determination result;

[0042] S122. Determine the system load percentage based on the current time load and the maximum load of the chilled water air conditioner;

[0043] S123. Determine the target operating mode based on the humidity determination result and the system load ratio.

[0044] In this embodiment, the environmental detection module first collects real-time values ​​of outdoor and indoor relative humidity. These two values ​​are then directly compared to determine if the outdoor relative humidity is greater than the indoor relative humidity. The humidity determination result is either "yes" or "no," directly reflecting the difference in humidity between indoor and outdoor environments. Next, the system load percentage is determined by dividing the current time load obtained in step S110 by the maximum load of the chiller. The calculation result is usually presented as a percentage, which intuitively reflects the proportion of current cooling demand within the system's maximum capacity. For example, if the current time load is a certain value and the maximum load is the system's designed fixed maximum value, dividing the two yields a specific percentage value, thus determining whether the current load is high or low. Then, based on the humidity determination result and the calculated system load percentage, the target operating mode is determined according to preset logical rules. For example, when the humidity determination result is "yes," a specific target operating mode applies regardless of the system load percentage. When the humidity determination result is "no," further judgment is needed based on the system load percentage. If the system load percentage is greater than a preset load threshold, another target operating mode applies; if the system load percentage is less than the preset load threshold, a third target operating mode applies. The preset load threshold is a fixed percentage value set based on the system's energy efficiency optimization requirements and actual operating data, used to distinguish between high and low load conditions, such as 50%. For instance, when the system detects an outdoor relative humidity of 60% and an indoor relative humidity of 55%, it determines that enhanced dehumidification is needed. Simultaneously, if the current time load is predicted to be 70% of the chiller's maximum load, the target operating mode is determined to be a high-efficiency dehumidification mode that emphasizes dehumidification. In this mode, the system will use a lower chilled water temperature and a moderate water flow rate to ensure sufficient dehumidification capacity.

[0045] In one embodiment, such as Figure 4 As shown, step S123 includes: S1231-S1233.

[0046] S1231. If the outdoor relative humidity is greater than the indoor relative humidity, then the target operating mode is determined to be the first operating mode.

[0047] S1232. If the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is greater than the preset load threshold, then the target operating mode is determined to be the second operating mode.

[0048] S1233. If the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is less than the preset load threshold, then the target operating mode is determined to be the third operating mode.

[0049] In this embodiment, firstly, when the outdoor relative humidity is greater than the indoor relative humidity, in order to prioritize the dehumidification needs of the indoor environment and ensure indoor comfort, the system will determine the target operating mode as the first operating mode. This mode is suitable for working environments where dehumidification needs to be prioritized. Secondly, when the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is greater than the preset load threshold, it indicates that the indoor cooling demand is relatively high. In order to meet the high load demand while ensuring the energy efficiency of system operation, this mode is suitable for high-load operating conditions, and the system will determine the target operating mode as the second operating mode. Then, when the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is less than the preset load threshold, it indicates that the indoor cooling demand is relatively low. In order to further reduce system energy consumption and improve energy utilization efficiency, the system will determine the target operating mode as the third operating mode. This mode is suitable for low-load operating conditions. The preset load threshold is a fixed percentage value set by the system based on long-term operating data and energy efficiency optimization targets to distinguish between high and low system load states, for example, 50%.

[0050] For example, if the outdoor relative humidity is 65% and the indoor relative humidity is 55%, and the outdoor relative humidity is greater than the indoor relative humidity, then the target operating mode is determined to be the first operating mode.

[0051] If the outdoor relative humidity is 40%, the indoor relative humidity is 50%, the current load is 60kW, the maximum load is 100kW, the system load percentage is 60%, and the preset load threshold is 50%, then the target operating mode is determined to be the second operating mode.

[0052] If the outdoor relative humidity is 35%, the indoor relative humidity is 45%, the current load is 40kW, the maximum load is 100kW, the system load percentage is 40%, and the preset load threshold is 50%, then the target operating mode is determined to be the third operating mode.

[0053] In one embodiment, such as Figure 5 As shown, step S130 includes: S131-S133.

[0054] S131. Adjust the outlet water temperature of the chiller unit to the first target chilled water temperature corresponding to the first operating mode;

[0055] S132. Calculate the first target water flow rate based on the current time load and the first target return water temperature difference corresponding to the first operating mode;

[0056] S133. Adjust the chilled water flow rate to reach the first target flow rate so that the return water temperature difference of the chiller unit is maintained at the first target return water temperature difference.

[0057] In this embodiment, under the first operating mode, the adjustment process is as follows: First, the control module sends a command to the chiller unit to adjust its outlet water temperature to the first target chilled water temperature corresponding to the first operating mode, so as to meet the cooling and dehumidification requirements of this mode. For example, the first target chilled water temperature can be 7°C. Next, based on the current time load and the first target return water temperature difference corresponding to the first operating mode, for example, the first target return water temperature difference can be 5°C, the first target water flow rate is calculated using the thermodynamic formula Q = cmΔt, where Q represents the current time load (i.e., heat exchange), c is the specific heat capacity of chilled water, m is the mass flow rate of chilled water (i.e., target water flow rate), and Δt is the first target return water temperature difference. By transforming this formula, we get m = Q / (cΔt). Substituting the current time load and the first target return water temperature difference into this transformed formula, the first target water flow rate can be calculated. Subsequently, the control module sends control signals to the equipment responsible for supplying chilled water (such as chilled water pumps) to adjust its operating parameters (such as speed or frequency) so that the actual flow rate of the chilled water reaches the calculated first target flow rate. This ensures that the return water temperature difference of the chiller unit is stably maintained at the first target return water temperature difference, guaranteeing stable and efficient operation of the system in this mode. For example, if the current time load Q is 100kW, the first target return water temperature difference Δt is 5℃, and the specific heat capacity of chilled water c is 4.186kJ / (kg·℃), then according to the formula m=Q / (cΔt), the first target water flow rate m can be calculated to be approximately 4.78kg / s. Adjusting the chilled water flow rate to 4.78kg / s will maintain the return water temperature difference at 5℃.

[0058] In one embodiment, such as Figure 6 As shown, step S130 includes: S134-S136.

[0059] S134. Adjust the outlet water temperature of the chiller unit to the second target chilled water temperature corresponding to the second operating mode, wherein the second target chilled water temperature is greater than the first target chilled water temperature;

[0060] S135. Calculate the second target water flow rate based on the current time load and the second target return water temperature difference corresponding to the second operating mode;

[0061] S136. Adjust the chilled water flow rate to reach the second target flow rate so that the return water temperature difference of the chiller unit is maintained at the second target return water temperature difference.

[0062] In this embodiment, under the second operating mode, the adjustment process is as follows: First, the control module controls the chiller unit to adjust its outlet water temperature to the second target chilled water temperature corresponding to the second operating mode. The second target chilled water temperature is set higher than the first target chilled water temperature; for example, the second target chilled water temperature can be 10°C. This is because in this mode, dehumidification is not prioritized, and a higher chilled water temperature is more conducive to improving system energy efficiency. Next, based on the current time load and the second target return water temperature difference corresponding to the second operating mode (for example, the second target return water temperature difference can be 5°C), the second target water flow rate is calculated using the thermodynamic formula Q = cmΔt, where Q is the current time load, c is the specific heat capacity of the chilled water, m is the second target water flow rate to be calculated, and Δt is the second target return water temperature difference. The second target water flow rate is obtained by substituting the current time load and the second target return water temperature difference into the transformed formula m = Q / (cΔt). Afterward, the control module adjusts the operating state of the chilled water delivery equipment to ensure that the chilled water flow rate reaches the calculated second target water flow rate, thereby maintaining the return water temperature difference of the chiller unit at the second target return water temperature difference and achieving economical operation of the system under this mode. For example, if the current time load Q is 120kW, the second target return water temperature difference Δt is 5℃, and the specific heat capacity of chilled water c is 4.186kJ / (kg·℃), then the second target water flow rate m can be calculated to be approximately 5.74kg / s using the formula m=Q / (cΔt). Adjusting the chilled water flow rate to 5.74kg / s can maintain the return water temperature difference at 5℃.

[0063] In one embodiment, such as Figure 7 As shown, step S130 includes: S137-S139.

[0064] S137. Adjust the outlet water temperature of the chiller unit to the third target chilled water temperature corresponding to the third operating mode;

[0065] S138. Calculate the third target water flow rate based on the current time load and the third target return water temperature difference corresponding to the third operating mode, wherein the third target return water temperature difference is greater than the second target return water temperature difference;

[0066] S139. Adjust the chilled water flow rate to the third target flow rate so that the return water temperature difference of the chiller unit is maintained at the third target return water temperature difference.

[0067] In this embodiment, the adjustment process in the third operating mode is as follows: First, the control module instructs the chiller unit to adjust its outlet water temperature to the third target chilled water temperature corresponding to the third operating mode. For example, the third target chilled water temperature can be 10℃. Then, based on the current time load and the third target return water temperature difference corresponding to the third operating mode (this temperature difference is greater than the second target return water temperature difference), for example, the third target return water temperature difference can be 6℃~8℃, the third target water flow rate is calculated using the thermodynamic formula Q=cmΔt, where Q represents the current time load, c is the specific heat capacity of the chilled water, m is the third target water flow rate, and Δt is the third target return water temperature difference. By substituting the current time load and the third target return water temperature difference into the formula m=Q / (cΔt), the third target water flow rate can be obtained. Subsequently, the control module adjusts the chilled water delivery equipment to make the actual chilled water flow rate reach the third target water flow rate, thereby maintaining the return water temperature difference of the chiller unit at the third target return water temperature difference, and further reducing the system's energy consumption by utilizing the large temperature difference. For example, if the current time load Q is 80kW, the third target return water temperature difference Δt is 7℃, and the specific heat capacity of chilled water c is 4.186kJ / (kg·℃), the third target water flow rate m can be calculated to be approximately 2.67kg / s according to the formula m=Q / (cΔt). Adjusting the chilled water flow rate to 2.67kg / s can maintain the return water temperature difference at 7℃.

[0068] In one embodiment, such as Figure 8 As shown, the control method of the chilled water air conditioner in this embodiment of the invention further includes steps S141-S143.

[0069] S141. Collect historical data, which includes historical environmental parameters, historical indoor heat load parameters and corresponding historical load data. The historical environmental parameters include outdoor temperature and humidity and indoor temperature and humidity. The historical indoor heat load parameters include the number of people in the room and equipment operation data.

[0070] S142. Using the historical environmental parameters and historical indoor heat load parameters as input variables and the corresponding historical load data as output variables, construct a neural network model and train it. The neural network model adopts an LSTM network, and the LSTM network includes an input layer, at least one LSTM hidden layer, an anti-overfitting layer, and an output layer.

[0071] S143. The trained LSTM network is validated based on the prediction error index and the dispersion index. When both the prediction error index and the dispersion index meet the corresponding preset index thresholds, the LSTM network is determined to be the load prediction model.

[0072] In this embodiment, historical data refers to the collection of various relevant data accumulated by the system during its past operation. Historical environmental parameters refer to data reflecting environmental conditions, such as outdoor temperature, outdoor humidity, indoor temperature, and indoor humidity, collected at different times in the past. Historical indoor heat load parameters refer to parameters affecting indoor heat load, such as the number of people indoors and the heat generated by equipment during operation, recorded at different times in the past. Historical load data refers to the actual cooling load undertaken by the chilled water air conditioning system at different times in the past, corresponding to the historical environmental parameters and historical indoor heat load parameters. A neural network model is a computational model built by mimicking the connection pattern of neurons in the human brain, used to learn the mapping relationship between input and output through training. LSTM (Long Short-Term Memory) network is a special type of recurrent neural network that can effectively process and learn long-term dependencies in time series data. The input layer is the first layer of neurons in the neural network that receives external input data. The LSTM hidden layer is an intermediate layer containing LSTM neurons, responsible for complex feature extraction and processing of the input data. Anti-overfitting layers are network layers set up to prevent the model from overfitting the training data during training, such as Dropout layers. The output layer is the last layer of neurons in the neural network that outputs the calculation results. The prediction error metric measures the degree of deviation between the model's predicted values ​​and the actual values. The dispersion metric measures the degree of dispersion in the model's predicted results. Preset threshold values ​​are pre-defined critical values ​​used to determine whether the prediction error metric and the dispersion metric meet the required standards.

[0073] Specifically, when collecting historical data, it is necessary to continuously collect historical environmental parameters such as outdoor temperature and humidity and indoor temperature and humidity through an environmental monitoring module, and collect historical indoor heat load parameters such as the number of people indoors and equipment operation data (such as equipment power and running time) through personnel counting devices and equipment operation monitoring sensors. At the same time, the historical load data of the chilled water air conditioning system at the corresponding time is recorded to ensure that the historical environmental parameters, historical indoor heat load parameters and historical load data correspond one-to-one in time, forming a complete dataset. At the same time, the collected data is preprocessed, including removing outliers and filling missing values, to ensure data quality. Secondly, when constructing the LSTM network, the number of nodes in the input layer is determined based on the total dimensions of historical environmental parameters and historical indoor heat load parameters. For example, if outdoor temperature and humidity, indoor temperature and humidity, number of people indoors, and equipment operation data constitute eight dimensions of input variables, then the input layer is set with eight nodes. Two to three LSTM hidden layers can be set, each containing 32 to 128 LSTM neurons, used to progressively extract feature information from the input data. The overfitting prevention layer uses a Dropout layer, with a dropout ratio set to 0.2, meaning 20% ​​of the neurons are randomly excluded from computation during training to prevent model overfitting. The output layer has one node, used to output the predicted load data. Then, during training, the preprocessed historical environmental parameters and historical indoor heat load parameters are used as input variables, and the corresponding historical load data as output variables. These are divided into training and validation sets. A suitable loss function (such as the mean squared error loss function) and optimizer (such as the Adam optimizer) are selected to iteratively train the LSTM network. The network parameters are continuously adjusted through backpropagation until the model's performance on the validation set stabilizes. Finally, the trained LSTM network is validated based on prediction error metrics (such as mean relative error) and dispersion metrics (such as coefficient of variation). The mean relative error is used to calculate the relative deviation between the model's predicted load and the actual historical load, while the coefficient of variation reflects the dispersion of the predicted load data relative to its average value. The preset threshold values ​​are set according to the accuracy requirements of the model in practical applications. For example, the preset threshold for the mean relative error can be set to 25%, and the preset threshold for the coefficient of variation can be set to 30%. When the mean relative error of the trained LSTM network on the validation set is less than or equal to 25% and the coefficient of variation is less than or equal to 30%, it indicates that the prediction accuracy and stability of the network meet the requirements. At this point, the LSTM network is determined to be a completed load prediction model.

[0074] In summary, this invention solves the problems of high energy consumption and low energy efficiency in traditional chilled water systems in dry areas. By acquiring indoor heat load parameters and environmental parameters, and using a pre-established load prediction model to obtain the current time load, the target operating mode is determined by combining outdoor relative humidity, indoor relative humidity, and the relationship between the current time load and the maximum load. This allows for the adjustment of the chiller's outlet water temperature and chilled water flow rate to maintain the return water temperature difference at the target value. Specifically, when the outdoor relative humidity is higher than the indoor relative humidity, a low-temperature chilled water mode (first operating mode) is executed to meet dehumidification requirements. When the outdoor relative humidity is lower than the indoor relative humidity and the system load is relatively high, a high-temperature chilled water mode (second operating mode) is used to reduce energy consumption while ensuring cooling effect. When the outdoor relative humidity is lower than the indoor relative humidity and the system load is relatively low, a large temperature difference high-temperature chilled water mode (third operating mode) is activated to further improve system energy efficiency. Through precise matching of these three operating modes with actual needs, energy waste caused by the continuous use of low-temperature chilled water in traditional systems is effectively avoided, significantly improving the overall energy efficiency of the chilled water air conditioning system and achieving energy savings, especially suitable for energy conservation and efficiency improvement in dry areas.

[0075] Figure 9 This is a schematic block diagram of a control device 200 for a chilled water air conditioner provided in an embodiment of the present invention. Figure 9 As shown, corresponding to the above-described control method for a chilled water air conditioner, the present invention also provides a control device 200 for a chilled water air conditioner. This control device 200 includes a unit for executing the above-described control method for a chilled water air conditioner, and the device can be configured in a computer device. Specifically, please refer to... Figure 9 The control device 200 of the chilled water air conditioner includes: a prediction unit 201, a mode unit 202, and an adjustment unit 203.

[0076] The system includes a prediction unit 201, which inputs the acquired indoor heat load parameters and environmental parameters into a pre-established load prediction model to predict the load required by the chiller at the current time and output the current time load. The environmental parameters include outdoor relative humidity and indoor relative humidity. The mode unit 202 is used to determine a target operating mode based on the outdoor relative humidity, the indoor relative humidity, the current time load, and the maximum load of the chiller. The adjustment unit 203 is used to adjust the outlet water temperature of the chiller to the target chilled water temperature corresponding to the target operating mode, and adjust the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode so that the return water temperature difference of the chiller maintains the target return water temperature difference.

[0077] In one embodiment, the mode unit 202 is further configured to: determine whether the outdoor relative humidity is greater than the indoor relative humidity to obtain a humidity determination result; determine the system load percentage based on the current time load and the maximum load of the chilled water air conditioner; and determine the target operating mode based on the humidity determination result and the system load percentage.

[0078] In one embodiment, the mode unit 202 is further configured to: determine the target operating mode as a first operating mode if the outdoor relative humidity is greater than the indoor relative humidity; determine the target operating mode as a second operating mode if the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is greater than a preset load threshold; and determine the target operating mode as a third operating mode if the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is less than a preset load threshold.

[0079] In one embodiment, the adjustment unit 203 is further configured to: adjust the outlet water temperature of the chiller unit to the first target chilled water temperature corresponding to the first operating mode; calculate the first target water flow rate based on the current time load and the first target return water temperature difference corresponding to the first operating mode; and adjust the chilled water flow rate to reach the first target water flow rate so that the return water temperature difference of the chiller unit is maintained at the first target return water temperature difference.

[0080] In one embodiment, the adjustment unit 203 is further configured to: adjust the outlet water temperature of the chiller unit to the second target chilled water temperature corresponding to the second operating mode, wherein the second target chilled water temperature is greater than the first target chilled water temperature; calculate the second target water flow rate based on the current time load and the second target return water temperature difference corresponding to the second operating mode; and adjust the chilled water flow rate to reach the second target water flow rate so that the return water temperature difference of the chiller unit is maintained at the second target return water temperature difference.

[0081] In one embodiment, the regulating unit 203 is further configured to: regulate the outlet water temperature of the chiller unit to the third target chilled water temperature corresponding to the third operating mode; calculate the third target water flow rate based on the current time load and the third target return water temperature difference corresponding to the third operating mode, wherein the third target return water temperature difference is greater than the second target return water temperature difference; and regulate the chilled water flow rate to reach the third target water flow rate so that the return water temperature difference of the chiller unit is maintained at the third target return water temperature difference.

[0082] In one embodiment, the control device 200 of the chilled water air conditioner further includes a model building unit, which is used to: collect historical data, including historical environmental parameters, historical indoor heat load parameters, and corresponding historical load data, wherein the historical environmental parameters include outdoor temperature and humidity, indoor temperature and humidity, and the historical indoor heat load parameters include the number of people indoors and equipment operation data; construct and train a neural network model using the historical environmental parameters and historical indoor heat load parameters as input variables and the corresponding historical load data as output variables, wherein the neural network model adopts an LSTM network, and the LSTM network includes an input layer, at least one LSTM hidden layer, an anti-overfitting layer, and an output layer; and verify the trained LSTM network based on prediction error index and dispersion index, and determine the LSTM network as the load prediction model when both the prediction error index and the dispersion index meet the corresponding preset index thresholds.

[0083] The aforementioned control device 200 for a chilled water air conditioner can be implemented as a computer program, which can, for example... Figure 10 It runs on the computer device shown.

[0084] Please see Figure 10 , Figure 10 This is a schematic block diagram of a computer device provided in an embodiment of this application. The computer device 500 may be a terminal.

[0085] See Figure 10 The computer device 500 includes a processor 502, a memory, and a network interface 505 connected via a system bus 501. The memory may include a non-volatile storage medium 503 and internal memory 504.

[0086] The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a control method for a chilled water air conditioner.

[0087] The processor 502 provides computing and control capabilities to support the operation of the entire computer device 500.

[0088] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute a control method for a chilled water air conditioner.

[0089] This network interface 505 is used for network communication with other devices. Those skilled in the art will understand that... Figure 10The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device 500 to which the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0090] The processor 502 is used to run a computer program 5032 stored in a memory to implement the steps of the above method.

[0091] It should be understood that in the embodiments of this application, the processor 502 may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0092] It will be understood by those skilled in the art that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program includes program instructions and can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiments of the above methods.

[0093] Therefore, the present invention also provides a storage medium. This storage medium can be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. When executed by a processor, the program instructions cause the processor to perform the steps of the above-described method.

[0094] The storage medium can be any computer-readable storage medium capable of storing program code, such as a USB flash drive, portable hard drive, read-only memory (ROM), magnetic disk, or optical disk.

[0095] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0096] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of each unit is merely a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0097] The steps in the method of this invention can be adjusted, merged, or reduced in order according to actual needs. The units in the device of this invention can be merged, divided, or reduced according to actual needs. Furthermore, the functional units in the various embodiments of this invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0098] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device to execute all or part of the steps of the methods described in the various embodiments of the present invention.

[0099] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0100] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Since these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0101] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered 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 control method for a chilled water air conditioner, characterized in that, The method includes: The acquired indoor heat load parameters and environmental parameters are input into a pre-established load prediction model to predict the load required by the chilled water air conditioner at the current time and output the load at the current time. The environmental parameters include outdoor relative humidity and indoor relative humidity. The humidity determination result is obtained by determining whether the outdoor relative humidity is greater than the indoor relative humidity. The system load percentage is determined based on the current time load and the maximum load of the chiller. If the outdoor relative humidity is greater than the indoor relative humidity, then the target operating mode is determined to be the first operating mode, which corresponds to the first target chilled water temperature and the first target return water temperature difference. If the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is greater than the preset load threshold, then the target operating mode is determined to be the second operating mode. The second operating mode corresponds to the second target chilled water temperature and the second target return water temperature difference. The second target chilled water temperature is greater than the first target chilled water temperature. If the outdoor relative humidity is less than the indoor relative humidity and the system load percentage is less than the preset load threshold, then the target operating mode is determined to be the third operating mode. The third operating mode corresponds to the third target chilled water temperature and the third target return water temperature difference. The third target return water temperature difference is greater than the second target return water temperature difference. Adjust the outlet water temperature of the chiller unit to the target chilled water temperature corresponding to the target operating mode, and adjust the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode so that the return water temperature difference of the chiller unit maintains the target return water temperature difference.

2. The method according to claim 1, characterized in that, The steps of adjusting the outlet water temperature of the chiller unit to the target chilled water temperature corresponding to the target operating mode, and adjusting the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode to maintain the return water temperature difference of the chiller unit at the target return water temperature difference, include: Adjust the outlet water temperature of the chiller unit to the first target chilled water temperature corresponding to the first operating mode; Calculate the first target water flow rate based on the current time load and the first target return water temperature difference corresponding to the first operating mode; Adjust the chilled water flow rate to reach the first target flow rate so that the return water temperature difference of the chiller unit is maintained at the first target return water temperature difference.

3. The method according to claim 1, characterized in that, The steps of adjusting the outlet water temperature of the chiller unit to the target chilled water temperature corresponding to the target operating mode, and adjusting the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode to maintain the return water temperature difference of the chiller unit at the target return water temperature difference, include: Adjust the outlet water temperature of the chiller unit to the second target chilled water temperature corresponding to the second operating mode; The second target water flow rate is calculated based on the current time load and the second target return water temperature difference corresponding to the second operating mode; Adjust the chilled water flow rate to reach the second target flow rate so that the return water temperature difference of the chiller unit is maintained at the second target return water temperature difference.

4. The method according to claim 1, characterized in that, The steps of adjusting the outlet water temperature of the chiller unit to the target chilled water temperature corresponding to the target operating mode, and adjusting the chilled water flow rate according to the current time load and the target return water temperature difference corresponding to the target operating mode to maintain the return water temperature difference of the chiller unit at the target return water temperature difference, include: Adjust the outlet water temperature of the chiller unit to the third target chilled water temperature corresponding to the third operating mode; Calculate the third target water flow rate based on the current time load and the third target return water temperature difference corresponding to the third operating mode; Adjust the chilled water flow rate to reach the third target flow rate so that the return water temperature difference of the chiller unit is maintained at the third target return water temperature difference.

5. The method according to any one of claims 1-4, characterized in that, The load forecasting model is constructed through the following steps: Collect historical data, which includes historical environmental parameters, historical indoor heat load parameters and corresponding historical load data. The historical environmental parameters include outdoor temperature and humidity and indoor temperature and humidity. The historical indoor heat load parameters include the number of people in the room and equipment operation data. Using the historical environmental parameters and historical indoor heat load parameters as input variables, and the corresponding historical load data as output variables, a neural network model is constructed and trained. The neural network model adopts an LSTM network, which includes an input layer, at least one LSTM hidden layer, an anti-overfitting layer, and an output layer. The trained LSTM network is validated based on the prediction error index and the dispersion index. When both the prediction error index and the dispersion index meet the corresponding preset index thresholds, the LSTM network is determined to be the load prediction model.

6. A chilled water air conditioning system, characterized in that, include: The system comprises an environmental monitoring module, a chiller unit, an indoor terminal unit, a cooling tower, a distribution module, and a control module. The control module is connected to the environmental monitoring module, the distribution module, and the chiller unit, respectively. The chiller unit exchanges heat with the cooling tower and the indoor terminal unit through the distribution module. The control module is used to execute the method described in any one of claims 1-5 to control the operation of the system.

7. A control device for a chilled water air conditioner, characterized in that, The apparatus includes a unit for performing the method of any one of claims 1-5.

8. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method as described in any one of claims 1-5.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that, when executed by a processor, can implement the method as described in any one of claims 1-5.

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