Digital frequency converter unit cooperative regulation method and system

Abstract

The application discloses a kind of digital frequency conversion unit cooperative regulation methods and systems, and it is related to air conditioning control technical field.The method includes: obtaining the real-time cooling load demand of target area;According to real-time cooling load demand and equipment parameters determine optimal start number and target operating frequency;Based on historical operation record, select cumulative power consumption lower equipment as operating unit;According to selected equipment and target frequency configuration digital frequency conversion unit to carry out cooling supply.The application establishes the accurate matching mechanism of cooling load demand and equipment operating parameters, determines the operating combination with the highest energy efficiency using multi-solution optimization strategy, and realizes the technical effect of significantly reducing energy consumption and prolonging equipment service life under the premise of ensuring cooling quality by combining with equipment balanced use strategy, solves the problems of high energy consumption, response lag and uneven equipment wear of traditional control mode.

Description

Technical Field

[0001] This invention relates to the field of air conditioning control technology, specifically to a method and system for coordinated control of digital inverter units. Background Technology

[0002] Digital inverter chillers are widely used in the central air conditioning systems of large public buildings due to their flexible adjustment and energy-saving potential. These units typically consist of multiple inverter air coolers operating in parallel, working together to provide cooling services to the target area.

[0003] Traditional control methods rely primarily on human experience or simple temperature threshold judgments. For example, a fixed number of air conditioners are activated when the indoor temperature exceeds a certain set range. This control strategy has significant limitations. Manual intervention struggles to respond promptly and accurately to dynamically changing cooling load demands, easily leading to a mismatch between cooling capacity and actual demand, resulting in energy waste. Simple start-stop control fails to optimize unit operation under partial load conditions, potentially causing a few units to operate at high loads for extended periods while others remain idle. This not only increases energy consumption but also exacerbates uneven wear and tear among equipment, shortening the lifespan of critical components. Therefore, in practical applications, this leads to problems such as high energy consumption, delayed response, and reduced equipment lifespan. Summary of the Invention

[0004] This invention addresses the technical problems of high energy consumption, slow response, and uneven equipment wear caused by relying on manual experience or simple threshold control in the prior art, and provides a method and system for coordinated control of digital frequency converter units.

[0005] The technical solution of the present invention to solve the above-mentioned technical problems is as follows:

[0006] In a first aspect, the present invention provides a method for coordinated control of digital frequency converter units, comprising:

[0007] The real-time cooling load demand of the target area is obtained. The target area has digital inverter units, each of which has multiple digital inverters connected to multiple inverter air coolers.

[0008] Based on the real-time cooling load demand and the equipment parameters of each variable frequency air cooler, determine the number of variable frequency air coolers to be started and the target operating frequency of each started variable frequency air cooler.

[0009] Obtain the historical operation records of multiple variable frequency air coolers, and determine multiple selected variable frequency air coolers from among the multiple variable frequency air coolers based on the number of variable frequency air coolers started.

[0010] The digital inverter unit is configured according to the plurality of selected inverter air coolers and the target operating frequency to provide cooling for the target area.

[0011] Secondly, the present invention provides a digital variable frequency unit coordinated control system, comprising:

[0012] The cooling load acquisition module is used to acquire the real-time cooling load demand of the target area, which has a digital variable frequency unit, which has multiple digital frequency converters, and the multiple digital frequency converters are connected to multiple variable frequency air coolers.

[0013] The operating parameter decision module is used to determine the number of variable frequency air coolers to be started and the target operating frequency of each started variable frequency air cooler based on the real-time cooling load demand and the equipment parameters of each variable frequency air cooler.

[0014] The air cooler selection module is used to obtain the historical operation records of multiple variable frequency air coolers, and determine multiple selected variable frequency air coolers from the multiple variable frequency air coolers based on the number of variable frequency air coolers started.

[0015] The unit configuration and cooling module is used to configure the digital inverter unit according to the plurality of selected inverter air coolers and the target operating frequency to provide cooling for the target area.

[0016] The beneficial effects of this invention are:

[0017] Compared to existing technologies, this invention first accurately acquires the real-time cooling load demand of the target area and dynamically determines the optimal number of units to start and the operating frequency based on this demand and equipment performance parameters. This achieves precise matching between cooling capacity and actual demand, effectively overcoming the energy waste problem of traditional control methods. Secondly, it employs a multi-scheme optimization strategy, automatically selecting the most energy-efficient operating combination by calculating the total operating power under different start-up schemes, thus improving the overall operating efficiency of the digital inverter unit. Thirdly, it introduces an equipment selection mechanism based on historical operating records, prioritizing the use of air coolers with lower cumulative operating loads to achieve wear equalization among multiple devices, effectively slowing down equipment aging. Finally, by synergistically applying the optimized operating parameters and equipment selection strategy to unit control, a complete intelligent control closed loop is constructed, significantly improving economy and reliability while ensuring cooling quality. Attached Figure Description

[0018] Figure 1 A flowchart illustrating a collaborative control method for digital frequency converter units provided by the present invention;

[0019] Figure 2 This is a schematic diagram of a digital variable frequency unit collaborative control system provided by the present invention.

[0020] In the attached diagram, the components represented by each number are as follows:

[0021] Cooling load acquisition module 11, operating parameter decision module 12, air cooler selection module 13, unit configuration and cooling module 14. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0024] In the description of this invention, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed herein.

[0025] Example 1, as Figure 1 As shown, this embodiment of the invention provides a method for coordinated control of digital frequency converter units, including:

[0026] S10: Obtain the real-time cooling load demand of the target area, wherein the target area has a digital inverter unit, the digital inverter unit has multiple digital inverters, and the multiple digital inverters are connected to multiple inverter air coolers.

[0027] First, obtain the real-time cooling load demand of the target area, including:

[0028] Obtain the target temperature and real-time temperature of the target area;

[0029] Calculate the temperature deviation between the target temperature and the real-time temperature;

[0030] Obtain the spatial parameters of the target region, including the region area and region height;

[0031] Based on the temperature deviation and the spatial parameters, the real-time cooling load demand of the target area is calculated.

[0032] The target area refers to a specific building space requiring cooling regulation, an area with clearly defined physical boundaries and temperature control requirements, such as shopping mall floors, office areas, hospital wards, or data center server rooms. This target area is equipped with digital inverter units, each containing multiple digital inverters connected to multiple inverter air coolers. These inverters dynamically control the refrigerant flow and pressure by adjusting the compressor motor speed, thereby achieving continuous, precise, and efficient regulation of the cooling capacity for the target area. The real-time cooling load demand of the target area is obtained. This real-time cooling load demand refers to the total amount of heat that needs to be removed from the target area per unit time. This value dynamically reflects the immediate cooling demand from changes in heat sources within the space, occupant activity, and the external environment.

[0033] Specifically, the first step is to obtain the target temperature setpoint and the current measured real-time temperature value for the target area. The target temperature setpoint represents the ideal temperature state that the target area is expected to achieve, while the real-time temperature value reflects the current actual thermal environment state of the area. The temperature deviation between the target temperature and the real-time temperature is calculated. This temperature deviation value characterizes the degree of difference between the current temperature state and the desired temperature state of the target area, directly reflecting the required cooling regulation.

[0034] Simultaneously, spatial parameter information of the target area is acquired, including the area and height of the target area. These spatial parameters define the physical volumetric characteristics of the target area and are fundamental data for calculating its heat load carrying capacity.

[0035] Furthermore, by combining temperature deviation and spatial parameters, a thermodynamic calculation model is used to determine the real-time cooling load demand of the target area. This calculation process combines temperature change demand with spatial volume characteristics, accurately quantifying the total amount of heat removed to maintain the target temperature, providing precise load data for subsequent control of the digital frequency converter unit. The specific execution method of this calculation process is as follows:

[0036] First, a heat balance equation for the target region is established, using the spatial volume obtained by multiplying the region's area and height as the basic calculation unit. Temperature deviation is introduced into the equation as a driving potential energy parameter, and its absolute value directly determines the amount of heat required to restore the set temperature state.

[0037] Subsequently, the calculation process needs to incorporate dynamic influencing factors such as the heat transfer coefficient of the target area's building envelope, indoor personnel density, lighting equipment power, and heat dissipation of various office electronic devices, which together constitute real-time internal and external thermal disturbances and are integrated into the basic calculation unit through weighted superposition.

[0038] The thermodynamic calculation model further incorporates the specific heat capacity and density of the current ambient air, as well as the preset expected cooling time constant, to convert the integrated thermal disturbance into a cooling load demand value per unit time. This calculation process fully considers the heat storage characteristics of the building space and the delayed effect of heat transfer, and introduces time series analysis to perform short-term prediction and compensation correction of load change trends. The final output real-time cooling load demand is a continuous variable with a time dimension, and its value accurately represents the instantaneous cooling capacity that the digital inverter unit needs to provide to maintain the target temperature setpoint under the current operating conditions. This provides a reliable quantitative input for subsequently determining the number of inverter air coolers to start and their operating frequency.

[0039] For example, suppose an office area with an area of ​​500 square meters and a height of 3 meters has a target temperature of 24°C and a current real-time temperature of 28°C. The heat transfer coefficient of the building envelope is 0.8 W / (m²·K), there are 20 staff members inside, and the total power of lighting and equipment is 4 kW.

[0040] First, the temperature deviation is calculated to be 4K, and the space volume is 1500m³. The base load is calculated using the heat balance equation: the heat load due to heat transfer from the building envelope is 1500m³ × 0.8W / (m²·K) × 4K = 4800W. The load generated by internal heat sources includes heat dissipation from personnel (20 people × 120W / person = 2400W) and equipment heat dissipation (4000W), totaling 6400W.

[0041] Secondly, the total thermal disturbance of 11200W is obtained by superimposing the base load and the internal heat source load. Considering the physical properties of air, the specific heat capacity of standard air is 1.006 kJ / (kg·K), and the density is 1.2 kg / m³. Assuming that temperature adjustment is expected to be completed within 30 minutes, the required cooling power is (1500m³ × 1.2 kg / m³ × 1.006 kJ / (kg·K) × 4K) ÷ (30min × 60s / min) = 4000W. Finally, the real-time cooling load requirement is the sum of the thermal disturbance of 11200W and the temperature drop requirement of 4000W, approximately 15200W. This value is the instantaneous cooling capacity that the digital inverter unit needs to provide, which can provide a basis for subsequently determining the operation scheme of the inverter air cooler.

[0042] S20: Based on the real-time cooling load demand and the equipment parameters of each variable frequency air cooler, determine the number of variable frequency air coolers to be started and the target operating frequency of each started variable frequency air cooler;

[0043] After obtaining the real-time cooling load demand, it is further necessary to obtain the equipment parameters of each variable frequency air cooler to accurately calculate the number of equipment to be started to meet the current load, and optimize and determine the optimal operating frequency of each operating device, so as to minimize the overall energy consumption while ensuring the cooling demand.

[0044] Specifically, based on the real-time cooling load demand and the equipment parameters of each variable frequency air cooler, the number of variable frequency air coolers to be started and the target operating frequency of each started variable frequency air cooler are determined, including:

[0045] Based on the equipment parameters of each variable frequency air cooler and the spatial parameters of the target area, a number of air coolers is constructed;

[0046] Input the real-time cooling load demand into the air cooler quantity determiner to obtain the minimum number of air coolers to start.

[0047] Starting with the minimum number of air coolers to be started, the number of starters is increased sequentially until the total number of the multiple variable frequency air coolers is reached, thus forming multiple start-up schemes;

[0048] For each of the aforementioned startup schemes, the operating frequency of each startup scheme is determined according to the real-time cooling load demand, resulting in multiple operating frequencies;

[0049] Based on multiple operating frequencies and the equipment parameters of each variable frequency air cooler, the total power corresponding to each startup scheme is calculated to obtain the total power of multiple schemes;

[0050] Based on the total power of multiple schemes, the starting scheme with the smallest total power is selected, and the number of starting schemes corresponding to it is taken as the number of variable frequency air coolers to be started, and the corresponding operating frequency is taken as the target operating frequency.

[0051] First, a quantity determiner for each variable frequency air cooler is constructed based on the equipment parameters of each air cooler and the spatial parameters of the target area. This air cooler quantity determiner is based on a predictive model trained by machine learning. By analyzing the correlation between equipment performance and spatial characteristics in historical operating data, a correspondence between cooling load demand and the minimum number of equipment to be used can be established.

[0052] Specifically, based on the equipment parameters of each variable frequency air cooler and the spatial parameters of the target area, an air cooler quantity determiner is constructed, including:

[0053] Using the device parameters as the first search condition and the spatial parameters as the second search condition, a set of matching historical records is obtained through joint retrieval.

[0054] Multiple historical cooling load demands are obtained from the matching history record set to construct a sample cooling load demand set. The minimum start-up quantity is marked for each historical cooling load demand according to the matching history record set to obtain the sample minimum start-up quantity set.

[0055] Based on the sample cooling load demand set and the sample minimum start-up quantity set, the air cooler quantity determiner is trained.

[0056] The process of constructing a quantity determinant for evaporative air coolers includes three stages: data screening, sample construction, and model training. First, historical data is retrieved. The specific equipment parameters of each current variable frequency evaporative air cooler are used as the first search condition, while the actual spatial parameters of the target area are used as the second search condition. A joint query is used to retrieve a set of matching historical records with similar equipment configurations and spatial characteristics from the historical operation database. The historical operation database is a long-term accumulated and stored collection of digital variable frequency unit operation data. Using equipment parameters and spatial parameters as the search criteria ensures that the retrieved set of matching historical records is highly relevant to the current application scenario.

[0057] Furthermore, multiple historical cooling load demand values ​​are extracted from the matching history record set to construct a sample cooling load demand set. This sample cooling load demand set includes actual load value sequences that successfully met the cooling demand of the target area at different time points, used to establish the correlation mapping between model input features and cooling demand. Simultaneously, based on the minimum number of units actually started in the matching history record set, the minimum number of units to be started is labeled for each historical cooling load demand sample, forming a sample minimum start quantity set. This sample minimum start quantity set is a set of optimal equipment configuration schemes verified in practice, including the minimum number of units activated corresponding to each historical cooling load demand, used to train the air cooler quantity determiner to accurately predict the minimum equipment input required to meet a specific cooling load.

[0058] Furthermore, based on the completed sample cooling load demand set and sample minimum start-up quantity set, a nonlinear mapping relationship between cooling load demand and minimum start-up quantity is established to train a cooler quantity determiner that can predict the minimum start-up quantity based on real-time cooling load demand.

[0059] For example, since there is a complex nonlinear mapping relationship between real-time cooling load demand and minimum number of units to be started, and the decision tree model has significant advantages in handling discrete decision problems, ranking feature importance, and model interpretability, the decision tree algorithm is chosen to construct the air cooler quantity determiner.

[0060] Specifically, this air cooler quantity determiner adopts a CART decision tree structure, mainly composed of feature judgment nodes, branch paths, and leaf nodes. The input layer receives normalized real-time cooling load demand values, which, together with equipment parameters and spatial parameters, constitute the model input feature vector. Internal nodes of the decision tree perform binary splits based on the numerical range of the feature vector, with each branch path representing a feature judgment condition. Finally, the leaf nodes output the corresponding predicted minimum number of units to be started.

[0061] During training, key hyperparameters included a maximum tree depth of 10, a minimum number of leaf node samples of 5, and a minimum number of samples required for splits of 2. The tree depth setting balanced model complexity and overfitting risk, the minimum number of leaf node samples ensured statistical significance of the prediction results, and the minimum number of samples required for splits controlled the granularity of tree growth. Specifically, a supervised learning training method was adopted. Sample cooling load demand data was collected from a historical operational database as the input sample set, and the corresponding validated minimum number of samples required for startup was simultaneously obtained to form a sample label set. The input sample set and the corresponding label sample set were divided into training, validation, and test sets in a 7:2:1 ratio.

[0062] Furthermore, Gini impurity is used as the node splitting criterion, and a decision tree is constructed through recursive splitting. On the training set, the algorithm automatically selects the optimal features and their splitting thresholds to maximize the sample purity of child nodes. Model performance is monitored using the validation set. When the validation set accuracy no longer improves and the performance difference between the training and validation sets continues to widen, a pre-pruning strategy is used to terminate the further complexity of the tree structure. Finally, the model performance is evaluated on the test set. When the prediction accuracy reaches a predetermined threshold, such as 90%, training is considered complete. The resulting air cooler quantity determiner effectively establishes decision rules between cooling load demand and the minimum number of units required for startup, enabling fast and accurate prediction of the number of units and providing a reliable basis for subsequent energy efficiency optimization.

[0063] Furthermore, by inputting the calculated real-time cooling load demand into the air cooler quantity determiner, the minimum number of air coolers required to start can be obtained to meet the current load requirements. Using this minimum number of air coolers as the starting point for optimizing the solution ensures that the basic cooling capacity meets the demand.

[0064] Furthermore, starting with the minimum number of air coolers to be started, the number of units to be started is increased sequentially until the total number of units in the unit is reached, thus forming multiple start-up schemes with different numbers of units to be started. Each start-up scheme represents a possible combination of equipment operation.

[0065] For example, assuming that the target area's digital inverter units contain a total of 5 inverter air coolers, the minimum number of air coolers that can be started to meet the current real-time cooling load demand is calculated by the air cooler quantity determinant to be 2.

[0066] Based on the minimum number of air coolers to be started, the following four starting schemes will be automatically generated for energy efficiency optimization calculation: Starting Scheme 1, starting 2 variable frequency air coolers; Starting Scheme 2, starting 3 variable frequency air coolers; Starting Scheme 3, starting 4 variable frequency air coolers; Starting Scheme 4, starting 5 variable frequency air coolers. Each starting scheme represents a different combination of equipment operation.

[0067] Furthermore, for each startup scheme, the corresponding operating frequency is calculated based on the real-time cooling load demand.

[0068] Specifically, for each of the aforementioned startup schemes, the operating frequency of each startup scheme is determined based on the real-time cooling load demand, resulting in multiple operating frequencies, including:

[0069] Select a first startup scheme from the plurality of startup schemes, and obtain a first startup quantity corresponding to the first startup scheme;

[0070] Based on the real-time cooling load demand and the first number of starts, calculate the average cooling load that each variable frequency air cooler needs to bear;

[0071] Based on the average cooling load and the equipment parameters of each variable frequency air cooler, the operating frequency of the variable frequency air cooler is calculated to obtain the first operating frequency corresponding to the first start-up scheme.

[0072] Following the method of determining the first operating frequency of the first startup scheme, the operating frequencies of other startup schemes are determined sequentially to obtain multiple operating frequencies.

[0073] First, the first startup plan is selected from the generated startup plans as the calculation object, i.e., the first startup plan. The number of units to be started determined by this first startup plan is obtained, i.e., the first startup quantity. Based on the ratio of the real-time cooling load demand of the target area to the first startup quantity, the average cooling load value that a single variable frequency air cooler needs to handle is calculated. Specifically, the average cooling load value = real-time cooling load demand / first startup quantity, ensuring that each operating unit undertakes the same cooling task.

[0074] For example, assume the real-time cooling load demand of the target area is calculated to be 18000W. The minimum number of evaporative coolers to start, obtained through the evaporative cooler quantity determiner, is 2, generating four start-up schemes ranging from 2 to 5 units.

[0075] First, the initial startup plan is selected, which involves starting two inverter air coolers, with a starting quantity of 2. According to the calculation formula: average cooling load = 18000W / 2 = 9000W. Therefore, under this plan, each operating inverter air cooler needs to handle 9000W of cooling load to ensure that the total cooling load requirement of 18000W is met.

[0076] Furthermore, based on the calculated average cooling load value, combined with the equipment parameters of the variable frequency air cooler, especially the characteristic curve of cooling capacity versus frequency, the corresponding operating frequency required to achieve that cooling capacity is determined through inversion calculation. The specific calculation process is as follows:

[0077] First, obtain the frequency-cooling capacity characteristic curve of the inverter air cooler, which is usually represented by a polynomial function: Where Q represents cooling capacity and f represents operating frequency. , , These are equipment-specific fitting coefficients. The average cooling load value... Substitute into the characteristic curve equation: By solving this quadratic equation, two real roots are obtained. Based on the allowable frequency operating range of the equipment, the root falling within [...]. , The effective solutions within the interval are taken as the target operating frequency.

[0078] If the equation has no real solutions, then take the boundary values ​​of the frequency operating range: when Greater than the rated frequency The corresponding cooling capacity is taken as ,when Less than the lowest frequency The corresponding cooling capacity is taken as The final determined operating frequency is the operating frequency value uniformly set for each device under this startup scheme, which is recorded as the first operating frequency.

[0079] Then, following the same calculation process, the remaining startup schemes are processed sequentially. For each startup scheme, the three steps of obtaining the number of startups, calculating the average load, and frequency inversion are repeated to obtain the corresponding operating frequency values. Ultimately, multiple operating frequencies corresponding to all startup schemes are obtained, providing a complete set of parameters for subsequent energy efficiency comparison analysis.

[0080] Furthermore, based on the operating frequency of each scheme and the equipment parameters of the variable frequency air cooler, specifically the frequency-power characteristic curve of the equipment, the total operating power under each startup scheme is calculated. By multiplying the operating power of a single unit at the corresponding frequency by the number of units started, the total power consumption of each scheme is obtained. This is used to objectively and quantitatively evaluate the overall energy consumption level of the system under different equipment combinations and operating parameter configurations, providing a key decision-making basis for subsequently selecting the energy-efficient scheme.

[0081] Specifically, based on multiple operating frequencies and the equipment parameters of each variable frequency air cooler, the total power corresponding to each startup scheme is calculated to obtain the total power of multiple schemes, including:

[0082] Obtain the frequency-power characteristic curves of each of the aforementioned variable frequency air coolers;

[0083] Select a first startup scheme from the plurality of startup schemes, and obtain the first startup quantity and first running frequency corresponding to the first startup scheme;

[0084] Based on the first operating frequency, the corresponding single-unit operating power is obtained from the frequency-power characteristic curve;

[0085] Multiply the single unit operating power by the first number of startups to obtain the first scheme total power of the first startup scheme;

[0086] Following the same method used to calculate the total power of the first scheme, the total power of the other startup schemes is calculated sequentially to obtain the total power of multiple schemes.

[0087] First, it is necessary to obtain the frequency-power characteristic curve of each variable frequency air cooler. This frequency-power characteristic curve represents the relationship between operating frequency and power consumption in the form of a function. It is obtained by combining the factory calibration test of the equipment with laboratory operating condition verification, and is used to determine the power consumption of the equipment at different operating frequencies.

[0088] Secondly, from multiple startup schemes, the first startup scheme is selected as the initial calculation object, and the first startup quantity and first operating frequency parameters corresponding to this first startup scheme are obtained. Based on the specific value of the first operating frequency, the operating power value of a single variable frequency air cooler at that frequency is obtained by querying or calculating on the frequency-power characteristic curve. Operating power is a measure of energy consumption per unit time, representing the electrical energy input required for the variable frequency air cooler to maintain operation at a specific operating frequency. This step establishes a direct correlation between operating parameters and energy consumption indicators.

[0089] Then, the obtained single-unit operating power is multiplied by the first number of startups to obtain the total power consumption under the first startup scheme, which is taken as the total power of the first scheme. The total power of the first scheme = single-unit operating power × first number of startups. This product operation reflects the energy consumption superposition effect of multiple devices running in parallel.

[0090] For example, suppose the first startup scheme determines to start two variable frequency air coolers, and their first operating frequency is calculated to be 45Hz. By consulting the frequency-power characteristic curve, it is found that the operating power of a single variable frequency air cooler is 2.5kW at this frequency of 45Hz.

[0091] According to the total power calculation formula: Total power of the first scheme = 2.5kW × 2 = 5kW.

[0092] Furthermore, following the same calculation process, the remaining startup schemes are processed sequentially. For each startup scheme, three steps are performed: obtaining the operating frequency, querying the power of a single unit, and calculating the total power. Ultimately, the total power of multiple schemes corresponding one-to-one with all startup schemes is obtained, ensuring the accuracy and comparability of the energy consumption assessment for each scheme and providing complete energy consumption data support for energy efficiency optimization decisions.

[0093] Finally, by comparing the total power calculation results of all startup schemes, the scheme with the smallest total power value was selected as the optimal operating scheme. The number of evaporative air coolers to be started corresponding to this optimal operating scheme was determined as the final number of variable frequency evaporative air coolers to be started, and its corresponding operating frequency was determined as the target operating frequency, ensuring that the digital variable frequency unit operates at its highest energy efficiency while meeting the cooling load requirements.

[0094] S30: Obtain the historical operation records of multiple variable frequency air coolers, and determine multiple selected variable frequency air coolers from among the multiple variable frequency air coolers based on the number of variable frequency air coolers started.

[0095] Specifically, the historical operating records of multiple variable frequency air coolers are obtained, and combined with the number of variable frequency air coolers started, multiple selected variable frequency air coolers are determined from the multiple variable frequency air coolers, including:

[0096] Obtain the historical operating records of the multiple variable frequency air coolers, and determine the cumulative power consumption of each variable frequency air cooler based on the historical operating records;

[0097] The variable frequency air coolers are sorted in ascending order based on their cumulative power consumption.

[0098] According to the number of variable frequency air coolers to be started, select the corresponding number of variable frequency air coolers from the ascending sorting results as the plurality of selected variable frequency air coolers.

[0099] First, obtain the historical operating records of multiple variable frequency air coolers and extract the cumulative power consumption data of each device. Cumulative power consumption is the total electrical energy consumed by the device since it was put into operation, which can objectively reflect the historical workload and lifespan of the device.

[0100] Based on the cumulative power consumption of each inverter air cooler, all available devices are sorted in ascending order, with devices having lower cumulative power consumption listed first and those with higher cumulative power consumption listed last, forming a sequence of devices from lightest to heaviest historical workload. Then, according to the predetermined number of inverter air coolers to be started, a corresponding number of air coolers are selected from the front of the ascending sort result. This selection mechanism prioritizes devices with lower historical workloads, giving air coolers with lower cumulative power consumption more opportunities to operate, while devices with higher cumulative power consumption remain in standby mode.

[0101] This balanced selection strategy based on cumulative power consumption can effectively balance the workload distribution among multiple variable frequency air coolers, avoiding the imbalance where some equipment operates at high load for a long time while others are idle for a long time, thereby optimizing the overall lifespan and improving the reliability of the equipment cluster.

[0102] S40: Configure the digital inverter unit according to the plurality of selected inverter air coolers and the target operating frequency to provide cooling for the target area.

[0103] Specifically, the operating parameters of the digital inverter air cooler are configured based on the selected inverter air cooler and its corresponding target operating frequency. By sending start commands and frequency setpoints to the digital inverters of the designated inverter air coolers, the corresponding equipment is controlled to operate at the optimized frequency, thereby achieving precise cooling of the target area and completing closed-loop control from strategy calculation to actual execution.

[0104] In summary, once configured, the digital inverter unit begins operating according to predetermined parameters. Multiple inverter air coolers work collaboratively at specified frequencies to deliver cooling capacity to the target area to meet the cooling load demand. This closed-loop control process achieves complete automated regulation from demand perception and strategy optimization to precise execution, ultimately achieving the dual goals of maximizing energy efficiency and balancing equipment lifespan while ensuring comfort.

[0105] In summary, the embodiments of this application have at least the following technical effects:

[0106] Compared to existing technologies, this invention first calculates the cooling load demand of the target area in real time, and based on this demand and equipment parameters, accurately determines the optimal combination of the number of units to be started and the operating frequency, effectively avoiding over-cooling or under-cooling, and achieving precise cooling and energy saving from the source. Secondly, a dedicated air cooler quantity determiner is built when determining the number of units to be started. By enumerating and comparing the total power of different starting schemes, it can automatically find the optimal operating point with the lowest overall system energy consumption, significantly improving operational energy efficiency. Thirdly, when selecting specific air coolers to operate, the historical operating records of the equipment are fully considered, prioritizing the use of equipment with lower cumulative power consumption, promoting a balanced distribution of workload among multiple air coolers, and helping to slow down the wear rate of individual equipment. Finally, the optimized decision-making on the number of units to be started, operating frequency, and equipment selection strategy are integrated and applied to the actual configuration and operation of the digital inverter unit, forming a complete intelligent closed-loop control process. Ultimately, while ensuring environmental comfort, it achieves a reduction in overall energy consumption and an extension of the overall equipment lifespan.

[0107] Example 2, as Figure 2 As shown, based on the same inventive concept as the digital inverter unit collaborative control method provided in Embodiment 1, this embodiment of the invention also provides a digital inverter unit collaborative control system, including:

[0108] The cooling load acquisition module 11 is used to acquire the real-time cooling load demand of the target area. The target area has a digital variable frequency unit, which has multiple digital variable frequency drives and multiple variable frequency air coolers connected to each other.

[0109] The operating parameter decision module 12 is used to determine the number of variable frequency air coolers to be started and the target operating frequency of each started variable frequency air cooler based on the real-time cooling load demand and the equipment parameters of each variable frequency air cooler.

[0110] The air cooler selection module 13 is used to obtain the historical operation records of multiple variable frequency air coolers, and determine multiple selected variable frequency air coolers from the multiple variable frequency air coolers in combination with the number of variable frequency air coolers started.

[0111] The unit configuration and cooling module 14 is used to configure the digital inverter unit according to the plurality of selected inverter air coolers and the target operating frequency to provide cooling for the target area.

[0112] The cooling load acquisition module 11 is specifically used for:

[0113] Obtain the real-time cooling load demand for the target area, including:

[0114] Obtain the target temperature and real-time temperature of the target area;

[0115] Calculate the temperature deviation between the target temperature and the real-time temperature;

[0116] Obtain the spatial parameters of the target region, including the region area and region height;

[0117] Based on the temperature deviation and the spatial parameters, the real-time cooling load demand of the target area is calculated.

[0118] The operating parameter decision module 12 is specifically used for:

[0119] Based on the real-time cooling load demand and the equipment parameters of each variable frequency air cooler, determine the number of variable frequency air coolers to be started and the target operating frequency of each started variable frequency air cooler, including:

[0120] Based on the equipment parameters of each variable frequency air cooler and the spatial parameters of the target area, a number of air coolers is constructed;

[0121] Input the real-time cooling load demand into the air cooler quantity determiner to obtain the minimum number of air coolers to start.

[0122] Starting with the minimum number of air coolers to be started, the number of starters is increased sequentially until the total number of the multiple variable frequency air coolers is reached, thus forming multiple start-up schemes;

[0123] For each of the aforementioned startup schemes, the operating frequency of each startup scheme is determined according to the real-time cooling load demand, resulting in multiple operating frequencies;

[0124] Based on multiple operating frequencies and the equipment parameters of each variable frequency air cooler, the total power corresponding to each startup scheme is calculated to obtain the total power of multiple schemes;

[0125] Based on the total power of multiple schemes, the starting scheme with the smallest total power is selected, and the number of starting schemes corresponding to it is taken as the number of variable frequency air coolers to be started, and the corresponding operating frequency is taken as the target operating frequency.

[0126] Specifically, based on the equipment parameters of each variable frequency air cooler and the spatial parameters of the target area, an air cooler quantity determiner is constructed, including:

[0127] Using the device parameters as the first search condition and the spatial parameters as the second search condition, a set of matching historical records is obtained through joint retrieval.

[0128] Multiple historical cooling load demands are obtained from the matching history record set to construct a sample cooling load demand set. The minimum start-up quantity is marked for each historical cooling load demand according to the matching history record set to obtain the sample minimum start-up quantity set.

[0129] Based on the sample cooling load demand set and the sample minimum start-up quantity set, the air cooler quantity determiner is trained.

[0130] Furthermore, for each of the aforementioned startup schemes, the operating frequency of each startup scheme is determined based on the real-time cooling load demand, resulting in multiple operating frequencies, including:

[0131] Select a first startup scheme from the plurality of startup schemes, and obtain a first startup quantity corresponding to the first startup scheme;

[0132] Based on the real-time cooling load demand and the first number of starts, calculate the average cooling load that each variable frequency air cooler needs to bear;

[0133] Based on the average cooling load and the equipment parameters of each variable frequency air cooler, the operating frequency of the variable frequency air cooler is calculated to obtain the first operating frequency corresponding to the first start-up scheme.

[0134] Following the method of determining the first operating frequency of the first startup scheme, the operating frequencies of other startup schemes are determined sequentially to obtain multiple operating frequencies.

[0135] Furthermore, based on multiple operating frequencies and the equipment parameters of each variable frequency air cooler, the total power corresponding to each startup scheme is calculated to obtain the total power of multiple schemes, including:

[0136] Obtain the frequency-power characteristic curves of each of the aforementioned variable frequency air coolers;

[0137] Select a first startup scheme from the plurality of startup schemes, and obtain the first startup quantity and first running frequency corresponding to the first startup scheme;

[0138] Based on the first operating frequency, the corresponding single-unit operating power is obtained from the frequency-power characteristic curve;

[0139] Multiply the single unit operating power by the first number of startups to obtain the first scheme total power of the first startup scheme;

[0140] Following the same method used to calculate the total power of the first scheme, the total power of the other startup schemes is calculated sequentially to obtain the total power of multiple schemes.

[0141] Specifically, the air cooler selection module 13 is used for:

[0142] Obtain historical operating records of multiple variable frequency air coolers, and based on the number of variable frequency air coolers started, determine multiple selected variable frequency air coolers from among the multiple variable frequency air coolers, including:

[0143] Obtain the historical operating records of the multiple variable frequency air coolers, and determine the cumulative power consumption of each variable frequency air cooler based on the historical operating records;

[0144] The variable frequency air coolers are sorted in ascending order based on their cumulative power consumption.

[0145] According to the number of variable frequency air coolers to be started, select the corresponding number of variable frequency air coolers from the ascending sorting results as the plurality of selected variable frequency air coolers.

[0146] The unit configuration and cooling module 14 is specifically used for:

[0147] The digital inverter unit is configured according to the plurality of selected inverter air coolers and the target operating frequency to provide cooling for the target area.

[0148] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0149] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0150] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A method for coordinated regulation of a digital frequency converter unit, characterized in that, The method comprises: acquiring real-time cooling load demand of a target area, the target area having a digital variable frequency unit group, the digital variable frequency unit group having a plurality of digital frequency converters, the plurality of digital frequency converters being connected to a plurality of variable frequency air coolers; determining a number of started variable frequency air coolers and target operating frequencies of the started variable frequency air coolers according to the real-time cooling load demand and equipment parameters of the variable frequency air coolers, comprising: constructing a variable frequency air cooler number determinator according to the equipment parameters of the variable frequency air coolers and space parameters of the target area, comprising: jointly retrieving a matching historical record set by taking the equipment parameters as a first retrieval condition and the space parameters as a second retrieval condition; acquiring a plurality of historical cooling load demands from the matching historical record set, constructing a sample cooling load demand set, and marking a minimum starting number of each of the historical cooling load demands according to the matching historical record set to obtain a sample minimum starting number set; training the variable frequency air cooler number determinator based on the sample cooling load demand set and the sample minimum starting number set; inputting the real-time cooling load demand into the variable frequency air cooler number determinator to obtain a minimum starting number of air coolers; increasing the starting number successively from the minimum starting number of air coolers until the total number of the plurality of variable frequency air coolers to form a plurality of starting schemes; determining operating frequencies of each of the starting schemes according to the real-time cooling load demand to obtain a plurality of operating frequencies; calculating total powers corresponding to each of the starting schemes according to the plurality of operating frequencies and the equipment parameters of the variable frequency air coolers to obtain a plurality of scheme total powers; selecting a starting scheme with the minimum scheme total power from the plurality of scheme total powers, taking the starting number corresponding to the starting scheme as the number of started variable frequency air coolers, and taking the operating frequency corresponding to the starting scheme as the target operating frequency; acquiring historical operating records of the plurality of variable frequency air coolers, determining a plurality of selected variable frequency air coolers from the plurality of variable frequency air coolers in combination with the number of started variable frequency air coolers, and configuring the digital variable frequency unit group according to the plurality of selected variable frequency air coolers and the target operating frequency to provide cooling for the target area. acquiring real-time cooling load demand of a target area, comprising:

2. The method of claim 1, wherein, acquiring a target temperature and a real-time temperature of the target area; calculating a temperature deviation between the target temperature and the real-time temperature; acquiring space parameters of the target area, the space parameters comprising an area and a height of the target area; calculating the real-time cooling load demand of the target area according to the temperature deviation and the space parameters. determining operating frequencies of each of the starting schemes according to the real-time cooling load demand to obtain a plurality of operating frequencies, comprising:

3. The method of claim 1, wherein, selecting a first starting scheme from the plurality of starting schemes, and acquiring a first starting number corresponding to the first starting scheme; calculating an average cooling load to be borne by each variable frequency air cooler according to the real-time cooling load demand and the first starting number; calculating an operating frequency of a variable frequency air cooler based on the average cooling load and the equipment parameters of the variable frequency air cooler to obtain a first operating frequency corresponding to the first starting scheme; ​ The running frequencies of other starting schemes are sequentially determined in a manner of determining the first running frequency of the first starting scheme, to obtain a plurality of running frequencies.

4. The method of claim 3, wherein, According to the plurality of running frequencies and the equipment parameters of the variable frequency air coolers, the total power corresponding to each starting scheme is calculated to obtain a plurality of scheme total powers, including: Obtaining the frequency-power characteristic curves of the variable frequency air coolers; Selecting a first starting scheme from the plurality of starting schemes, obtaining the first starting quantity and the first running frequency corresponding to the first starting scheme; According to the first running frequency, obtaining the single running power corresponding to the frequency-power characteristic curve; Multiplying the single running power and the first starting quantity to obtain the first scheme total power of the first starting scheme; According to the manner of calculating the first scheme total power, the scheme total powers of other starting schemes are sequentially calculated to obtain a plurality of scheme total powers.

5. The method of claim 1, wherein, Obtaining the historical running records of a plurality of variable frequency air coolers, and determining a plurality of selected variable frequency air coolers from the plurality of variable frequency air coolers in combination with the starting variable frequency air cooler quantity, including: Obtaining the historical running records of the plurality of variable frequency air coolers, and determining the cumulative power consumptions of the variable frequency air coolers according to the historical running records; According to the cumulative power consumptions of the variable frequency air coolers, the plurality of variable frequency air coolers are sorted in ascending order; According to the starting variable frequency air cooler quantity, a corresponding number of variable frequency air coolers are selected from the ascending order sorting result as the plurality of selected variable frequency air coolers.

6. A digital variable frequency unit cooperative regulation system, characterized in that, A device for executing the method of any one of claims 1-5, including: A cold load obtaining module for obtaining a real-time cold load demand of a target area, the target area having a digital variable frequency unit, the digital variable frequency unit having a plurality of digital frequency converters, and the plurality of digital frequency converters being connected to a plurality of variable frequency air coolers; An operation parameter decision module for determining a starting variable frequency air cooler quantity and a target running frequency of each starting variable frequency air cooler according to the real-time cold load demand and the equipment parameters of the variable frequency air coolers; An air cooler selection module for obtaining the historical running records of a plurality of variable frequency air coolers, and determining a plurality of selected variable frequency air coolers from the plurality of variable frequency air coolers in combination with the starting variable frequency air cooler quantity; A unit configuration and cooling supply module for configuring the digital variable frequency unit according to the plurality of selected variable frequency air coolers and the target running frequency, to supply cooling to the target area.

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