Cooperative regulation and control method and system for digital frequency conversion unit

Abstract

The invention discloses a collaborative regulation and control method and system for a digital frequency conversion unit, and relates to the technical field of air conditioner control. The method comprises the steps that the real-time cooling load requirement of a target area is obtained; according to the real-time cold load requirement and the equipment parameters, the optimal starting number and the target operation frequency are determined; selecting equipment with relatively low accumulated power consumption as an operation unit based on the historical operation record; and configuring the digital frequency conversion unit for cooling according to the selected equipment and the target frequency. According to the method, an accurate matching mechanism of the cold load demand and the equipment operation parameters is established, the operation combination with the highest energy efficiency is determined by adopting the multi-scheme optimization strategy, and the equipment balanced use strategy is combined, so that the technical effects of remarkably reducing energy consumption and prolonging the service life of the equipment on the premise of ensuring the cold supply quality are achieved; the problems that a traditional control mode is high in energy consumption, lagged in response and uneven in equipment abrasion are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioning control, in particular to a digital variable frequency unit cooperative control method and system. BACKGROUND

[0002] In the central air conditioning system of large public buildings, digital variable frequency units are widely used due to their flexible regulation and energy-saving potential. Such units are usually composed of multiple parallel-running variable frequency cold air units, which collectively provide cooling services to target areas.

[0003] Traditional control methods mainly rely on manual experience or simple temperature threshold judgments, such as starting a fixed number of cold air units when the indoor temperature is higher than the set value by a certain range. This control strategy has significant limitations. Manual intervention is difficult to respond promptly and accurately to dynamically changing cooling load demands, which can lead to mismatch between cooling supply and actual demand, resulting in energy waste. Simple start-stop control cannot optimize the running state of the unit under partial load conditions, which may cause a small number of devices to run at high load for a long time while others are idle. This not only increases operating energy consumption, but also exacerbates uneven wear and tear between devices, shortening the service life of key equipment. Therefore, in practical applications, there are problems such as high energy consumption, response lag, and uneven equipment wear and tear. SUMMARY

[0004] The present application provides a digital variable frequency unit cooperative control method and system to address the technical problems of high energy consumption, response lag, and uneven equipment wear and tear caused by relying on manual experience or simple threshold control in the prior art.

[0005] The technical solution of the present application to solve the above technical problems is as follows: In a first aspect, the present application provides a digital variable frequency unit cooperative control method, comprising: Obtaining the real-time cooling load demand of the target area, the target area having a digital variable frequency unit, the digital variable frequency unit having multiple digital frequency converters, and the multiple digital frequency converters being connected to multiple variable frequency cold air units; Determining the number of started variable frequency cold air units and the target operating frequency of each started variable frequency cold air unit according to the real-time cooling load demand and the equipment parameters of each variable frequency cold air unit; Obtaining the historical operation records of the multiple variable frequency cold air units, and determining multiple selected variable frequency cold air units from the multiple variable frequency cold air units in combination with the number of started variable frequency cold air units; Configuring the digital variable frequency unit according to the multiple selected variable frequency cold air units and the target operating frequency to provide cooling to the target area.

[0006] In a second aspect, the present application provides a digital variable frequency unit cooperative control system, comprising: The cold load acquisition module is used for acquiring real-time cold load demand of a target area, the target area has a digital variable frequency unit, the digital variable frequency unit has a plurality of digital frequency converters, and the plurality of digital frequency converters are connected with a plurality of variable frequency air coolers. The operation parameter decision module is used for determining the number of started variable frequency air coolers and target operation frequencies of each started variable frequency air cooler according to the real-time cold load demand and equipment parameters of each variable frequency air cooler. The air cooler selection module is used for acquiring historical operation records of the plurality of variable frequency air coolers, and determining a plurality of selected variable frequency air coolers in the plurality of variable frequency air coolers in combination with the number of started variable frequency air coolers. The unit configuration and cooling supply module is used for configuring the digital variable frequency unit according to the plurality of selected variable frequency air coolers and the target operation frequencies, so as to supply cooling to the target area.

[0007] The present application has the following advantages: Compared with the prior art, the present application firstly accurately acquires real-time cold load demand of a target area, and dynamically determines the optimal number of started units and operation frequencies based on the demand and equipment performance parameters, so as to accurately match the cooling capacity and actual demand, and effectively overcome the energy waste problem under the traditional control mode. Secondly, a multi-scheme optimization strategy is adopted, the total operation power under different starting schemes is calculated, and the operation combination with the highest energy efficiency is automatically selected, so as to improve the overall operation efficiency of the digital variable frequency unit. Thirdly, a device selection mechanism based on historical operation records is introduced, the air cooler with lower cumulative operation load is preferentially started, so as to balance the wear and tear among the plurality of devices, and effectively slow down the equipment aging speed. Finally, the optimized operation parameters and the device selection strategy are applied to the unit control in cooperation, so as to build a complete intelligent regulation and control closed loop, so as to guarantee the cooling quality, and significantly improve the economy and reliability. BRIEF DESCRIPTION OF DRAWINGS

[0008] Figure 1 A flowchart of a digital variable frequency unit cooperative regulation and control method provided by the present application is shown. Figure 2 A structural schematic diagram of a digital variable frequency unit cooperative regulation and control system provided by the present application is shown.

[0009] In the drawings, the components represented by the respective reference numerals are as follows: The cold load acquisition module 11, the operation parameter decision module 12, the air cooler selection module 13, and the unit configuration and cooling supply module 14. DETAILED DESCRIPTION

[0010] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described below, obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the protection scope of the present application.

[0011] In the description of the present application, the terms "first", "second" are only used for description purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0012] In the description of the present application, the term "for example" is used to indicate "as an example, illustration or explanation". Any embodiment described as "for example" in the present application is not necessarily interpreted as more preferred or more advantageous than other embodiments. The following description is given in order to enable any person skilled in the art to implement and use the present application. In the following description, details are listed for the purpose of explanation. It should be understood that those skilled in the art can realize the present application without using these specific details. In other examples, well-known structures and processes will not be described in detail in order to avoid unnecessary details making the description of the present application obscure. Therefore, the present application is not intended to be limited to the shown embodiments, but is consistent with the broadest scope in accordance with the principles and characteristics disclosed.

[0013] Embodiment one, as shown, the embodiment of the present application provides a digital variable frequency unit cooperative control method, comprising: Figure 1 S10: obtaining the real-time cooling load demand of the target area, the target area having a digital variable frequency unit, the digital variable frequency unit having a plurality of digital frequency converters, the plurality of digital frequency converters being connected to a plurality of variable frequency air coolers; First, obtaining the real-time cooling load demand of the target area, comprising: Obtaining the target temperature and the real-time temperature of the target area; Calculating the temperature deviation between the target temperature and the real-time temperature; Obtaining the space parameters of the target area, the space parameters including the area and the height of the area; According to the temperature deviation and the space parameters, calculating the real-time cooling load demand of the target area.

[0014] ​The target area refers to a specific building space that needs to implement cooling regulation, and is an area with clear physical boundaries and temperature control requirements, such as a shopping mall floor, an office area, a hospital ward, or a data center machine room, etc. The target area has a digital variable frequency unit with multiple digital frequency converters connected to multiple variable frequency cooling fans, which are used to dynamically control the flow and pressure of refrigerant by adjusting the operating speed of the compressor motor, thereby achieving continuous, accurate and efficient regulation of the cooling capacity of the target area. Obtain the real-time cooling load demand of the target area, which refers to the total value of heat that needs to be removed from the target area per unit time, which dynamically reflects the immediate demand for cooling capacity of space heat sources, personnel activities and external environment.

[0015] Specifically, first, the target temperature set value of the target area and the currently measured real-time temperature value are obtained. The target temperature set value represents the ideal temperature state that the target area expects to achieve, and the real-time temperature value reflects the current actual thermal environment state of the area. Calculate the temperature deviation between the target temperature and the real-time temperature, which represents the difference between the current temperature state and the desired temperature state of the target area, and directly reflects the required cooling regulation amount.

[0016] At the same time, the space parameter information of the target area is obtained, including the area area and area height of the target area. The space parameter defines the physical volume characteristics of the target area and is the basic data for calculating the heat load carrying capacity.

[0017] Further, the real-time cooling load demand of the target area is determined by combining the temperature deviation and the space parameter through a thermodynamic calculation model. This calculation process combines temperature change requirements and space volume characteristics, and can accurately quantify the total amount of heat that needs to be removed to maintain the target temperature, providing accurate load basis for subsequent regulation of the digital variable frequency unit. The calculation process is executed as follows: First, the heat balance equation of the target area is established, which takes the space volume obtained by multiplying the area area and the area height in the space parameter as the basic calculation unit. The temperature deviation is introduced as a driving potential parameter, and its absolute value directly determines the heat base that needs to be transferred to restore the set temperature state.

[0018] Subsequently, the calculation process needs to include the heat transfer coefficient of the target area envelope, the indoor personnel density, the lighting device power, and the heat dissipation of various office electronic equipment, etc. Dynamic influencing factors to form real-time internal and external heat disturbance, which are integrated into the basic calculation unit through weighted superposition.

[0019] The thermodynamic calculation model further converts the integrated thermal disturbance into a cooling load demand value per unit time by combining the specific heat capacity and density of the current ambient air and a preset desired temperature reduction time constant. The calculation process fully considers the heat storage characteristics and delay effect of heat transfer of the building space, and short-term prediction and compensation correction of the load variation trend are performed by introducing time series analysis. The final output real-time cooling load demand is a continuous variable with a time dimension, and the numerical value accurately represents the instantaneous refrigeration capacity required by the digital variable frequency unit to maintain the target temperature set value under the current working condition. It can provide reliable quantitative input for subsequent determination of the starting number and operating frequency of the variable frequency cold air fan.

[0020] For example, assume that 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 building envelope heat transfer coefficient of this area is 0.8 W / (m²·K), there are 20 workers inside, and the total power of lighting and equipment is 4 kW.

[0021] First, the temperature deviation is calculated to be 4K, and the space volume is 1500m³. The basic load is calculated by the heat balance equation: the heat load caused by the building envelope heat transfer is 1500m³×0.8W / (m²·K)×4K=4800W. The internal heat source generates a load of 20 people×120W / person=2400W and equipment heat dissipation of 4000W, for a total of 6400W.

[0022] Second, the basic load and internal heat source load are superimposed to obtain the total thermal disturbance of 11200W. Considering the air property parameters, the specific heat capacity of standard air is 1.006kJ / (kg·K), the density is 1.2kg / m³, and it is assumed that the temperature regulation is expected to be completed in 30 minutes, then the required refrigeration power is (1500m³×1.2kg / m³×1.006kJ / (kg·K)×4K)÷(30min×60s / min)=4000W. The final real-time cooling load demand is the sum of the thermal disturbance of 11200W and the required 4000W for temperature reduction, about 15200W, which is the instantaneous refrigeration capacity required by the digital variable frequency unit, and can provide a basis for subsequent determination of the variable frequency cold air fan operation scheme.

[0023] S20: According to the real-time cooling load demand and the equipment parameters of each variable frequency cold air fan, determine the number of started variable frequency cold air fans and the target operating frequency of each started variable frequency cold air fan; After obtaining the real-time cooling load demand, further, the equipment parameters of each variable frequency cold air fan are also needed to accurately calculate the number of devices required to meet the current load and optimize the determination of the best operating frequency of each running device, so as to minimize the overall energy consumption while ensuring the cooling demand.

[0024] Specifically, according to the real-time cold load demand and the equipment parameters of each variable frequency cold air blower, the number of started variable frequency cold air blowers and the target operating frequency of each started variable frequency cold air blower are determined, including: According to the equipment parameters of each variable frequency cold air blower and the space parameters of the target area, a cold air blower number determiner is constructed; The real-time cold load demand is input into the cold air blower number determiner to obtain a minimum starting number of cold air blowers; Taking the minimum starting number of cold air blowers as a starting point, the starting number is increased in turn until the total number of the plurality of variable frequency cold air blowers, forming a plurality of starting schemes; For each starting scheme, the operating frequency of each starting scheme is determined according to the real-time cold load demand, obtaining a plurality of operating frequencies; According to the plurality of operating frequencies and the equipment parameters of each variable frequency cold air blower, the total power corresponding to each starting scheme is calculated, obtaining a plurality of scheme total powers; According to the plurality of scheme total powers, the starting scheme with the minimum scheme total power is selected, the starting number corresponding thereto is taken as the number of started variable frequency cold air blowers, and the operating frequency corresponding thereto is taken as the target operating frequency.

[0025] First, a cold air blower number determiner is constructed based on the equipment parameters of each variable frequency cold air blower and the space parameters of the target area. The cold air blower number determiner is a prediction model trained based on machine learning. By analyzing the correlation between device performance and space characteristics in historical operation data, the corresponding relationship between cold load demand and minimum device activation number can be established.

[0026] Specifically, according to the equipment parameters of each variable frequency cold air blower and the space parameters of the target area, the cold air blower number determiner is constructed, including: Taking the equipment parameters as a first retrieval condition and the space parameters as a second retrieval condition, a matched historical record set is obtained by joint retrieval; A plurality of historical cold load demands are obtained from the matched historical record set, a sample cold load demand set is constructed, and each historical cold load demand is labeled with a minimum starting number according to the matched historical record set, obtaining a sample minimum starting number set; Based on the sample cold load demand set and the sample minimum starting number set, the cold air blower number determiner is trained.

[0027] The process of constructing the air cooler quantity determinator includes three links of data screening, sample construction and model training. First, historical data retrieval is performed, taking the specific equipment parameters of the current variable frequency air cooler as the first retrieval condition, and the actual space parameters of the target area as the second retrieval condition, to obtain a matching historical record set with similar equipment configuration and space characteristics from the historical operation database through joint query. The historical operation database is a set of digital variable frequency unit operation data accumulated and stored for a long time. Taking the equipment parameters and space parameters as the retrieval basis can ensure that the matching historical record set obtained by retrieval has high relevance to the current application scenario.

[0028] Further, a plurality of historical cooling load demand values are extracted from the matching historical record set to construct a sample cooling load demand set. The sample cooling load demand set includes a sequence of actual load values at different time nodes that successfully meet the cooling demand of the target area, and is used to establish an association mapping between the model input features and the cooling demand. At the same time, according to the minimum start number information actually used in the matching historical record set, the minimum start number corresponding to each historical cooling load demand sample is labeled to form a sample minimum start number set. The sample minimum start number set is a set of optimal equipment configuration schemes verified by practice, including the minimum equipment start number label corresponding to each historical cooling load demand, and is used to train the air cooler quantity determinator to accurately predict the minimum equipment investment required to meet a specific cooling load.

[0029] Further, based on the constructed sample cooling load demand set and sample minimum start number set, a non-linear mapping relationship between cooling load demand and minimum start number is established to train the air cooler quantity determinator that can predict the minimum start number according to the real-time cooling load demand.

[0030] For example, since there is a complex non-linear mapping relationship between the real-time cooling load demand and the minimum start number, and the decision tree model has significant advantages in handling discrete decision problems, feature importance sorting and model interpretability, the decision tree algorithm is selected to construct the air cooler quantity determinator.

[0031] Specifically, the air cooler quantity determinator adopts a CART decision tree structure, mainly composed of feature judgment nodes, branch paths and leaf nodes. The input layer receives the real-time cooling load demand value after normalization processing, and the real-time cooling load demand value and the equipment parameters and space parameters together constitute the feature vector of the model input. The internal nodes of the decision tree perform binary splitting according to the value range of the feature vector, each branch path represents a feature judgment condition, and the final leaf node outputs the corresponding minimum start number prediction value.

[0032] During the training process, the key hyperparameters include the maximum depth of the tree set to 10, the minimum leaf node sample number set to 5, and the minimum sample number required for splitting set to 2. The setting of the tree depth balances the model complexity and the risk of overfitting, the setting of the minimum leaf node sample number ensures the statistical significance of the prediction results, and the selection of the minimum sample number for splitting controls the growth granularity of the tree structure. Specifically, the training method of supervised learning is adopted, the sample cold load demand data is collected from the historical operation database as the input sample set, and the corresponding verified minimum start number is obtained as the sample label set. The input sample set and the corresponding label sample set are divided into a training set, a validation set, and a test set according to a ratio of 7:2:1.

[0033] Further, the Gini impurity is used as the node splitting criterion, and the decision tree is constructed by recursive partitioning. On the training set, the algorithm automatically selects the optimal feature and its splitting threshold to maximize the sample purity of the child nodes. Through the validation set, the model performance is monitored, and when the validation set accuracy no longer improves and the performance difference between the training set and the validation set continues to expand, a pre-pruning strategy is used to terminate the further complication of the tree structure. Finally, the model performance is evaluated on the test set, and when the prediction accuracy reaches a predetermined threshold, such as 90%, the training is confirmed to be completed. The final obtained cold air fan number determinator can effectively establish the decision rule between the cold load demand and the minimum start number, realize the rapid and accurate equipment number prediction, and provide a reliable basis for subsequent energy efficiency optimization.

[0034] Further, the calculated real-time cold load demand is input into the cold air fan number determinator to obtain the minimum start number of the cold air fan required to meet the current load requirement. Taking the cold air fan minimum start number value as the starting point of the scheme optimization can ensure that the basic cooling capacity meets the demand.

[0035] Further, taking the cold air fan minimum start number as the initial value, the number of start-ups is increased one by one until the total number of unit equipment is reached, thereby forming a plurality of start-up schemes with different start-up numbers. Each start-up scheme represents a possible equipment operation combination mode.

[0036] For example, assuming that the total number of digital variable frequency units in the target area includes 5 variable frequency cold air fans, the cold air fan number determinator calculates that the minimum start number of the cold air fan required to meet the current real-time cold load demand is 2.

[0037] Based on the cold air fan minimum start number, the following four start-up schemes are automatically generated for energy efficiency optimization calculation: start-up scheme one, start 2 variable frequency cold air fans; start-up scheme two, start 3 variable frequency cold air fans; start-up scheme three, start 4 variable frequency cold air fans; start-up scheme four, start 5 variable frequency cold air fans. Each start-up scheme represents a different equipment operation combination mode.

[0038] Further, for each starting scheme, the corresponding operating frequency is calculated according to the real-time cold load demand.

[0039] Specifically, for each starting scheme, the operating frequency of each starting scheme is determined according to the real-time cold load demand, and a plurality of operating frequencies are obtained, including: Selecting a first starting scheme from the plurality of starting schemes, and obtaining a first starting number corresponding to the first starting scheme; According to the real-time cold load demand and the first starting number, the average cold load that each variable frequency cold air blower needs to bear is calculated; Based on the average cold load and the equipment parameters of each variable frequency cold air blower, the operating frequency of the variable frequency cold air blower is calculated, and the first operating frequency corresponding to the first starting scheme is obtained. According to the way of determining the first operating frequency of the first starting scheme, the operating frequencies of other starting schemes are determined in turn, and a plurality of operating frequencies are obtained.

[0040] First, the first scheme is selected from the generated plurality of starting schemes as a calculation object, that is, the first starting scheme. The starting number information determined by the first starting scheme is obtained, that is, the first starting number. According to the ratio of the real-time cold load demand of the target area to the first starting number, the average cold load value that a single variable frequency cold air blower needs to bear is calculated. Specifically, the average cold load value = real-time cold load demand / first starting number, to ensure that each operating device bears the same refrigeration task.

[0041] For example, it is assumed that the real-time cold load demand of the target area is calculated as 18000W. The minimum number of cold air blowers obtained by the cold air blower number determiner is 2, and four starting schemes from 2 to 5 are generated.

[0042] First, the first starting scheme is selected, that is, 2 variable frequency cold air blowers are started, and the first starting number is 2. According to the calculation formula: average cold load value = 18000W / 2 = 9000W. Then under this scheme, each operating variable frequency cold air blower needs to bear a refrigeration task of 9000W to ensure that the total cold load demand of 18000W is met together.

[0043] Further, based on the calculated average cold load value, combined with the equipment parameters of the variable frequency cold air blower, especially the characteristic curve of the refrigerating capacity changing with the frequency, the corresponding operating frequency required to realize the refrigerating capacity is obtained by inversion calculation. The calculation process is as follows: First, the frequency-refrigerating capacity characteristic curve of the variable frequency cold air blower is obtained, which is usually represented in the form of a polynomial function: Where Q represents the refrigerating capacity, f represents the 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.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] 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: Obtain the frequency-power characteristic curves of each of the aforementioned variable frequency air coolers; 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; Based on the first operating frequency, the corresponding single-unit operating power is obtained from the frequency-power characteristic curve; Multiply the single unit operating power by the first number of startups to obtain the first scheme total power of the first startup scheme; 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.

[0048] Firstly, the frequency-power characteristic curve of each variable frequency air cooler needs to be obtained, which represents the corresponding relationship between the operating frequency and the power consumption in a functional form. The frequency-power characteristic curve is obtained through a combination of factory calibration test and laboratory operating condition verification, which is used to determine the power consumption of the equipment at different operating frequencies.

[0049] Secondly, the first start-up scheme is selected from multiple start-up schemes as the initial calculation object, and the first start-up quantity and the first operating frequency corresponding to the first start-up scheme are obtained. According to the specific value of the first operating frequency, the operating power value of a single variable frequency air cooler at this frequency is obtained by querying or calculating on the frequency-power characteristic curve. The operating power is a measure of energy consumption per unit time, representing the electrical energy input required to maintain the operation of the variable frequency air cooler at a specific operating frequency. Through this step, a direct correlation between operating parameters and energy consumption indicators can be established.

[0050] Further, the obtained single operating power is multiplied by the first start-up quantity to obtain the total power consumption under the first start-up scheme, which is the first scheme total power. The first scheme total power = single operating power x first start-up quantity. This multiplication operation reflects the energy consumption superposition effect when multiple devices run in parallel.

[0051] For example, assume that the first start-up scheme determines to start 2 variable frequency air coolers, and the first operating frequency is calculated to be 45Hz. By querying the frequency-power characteristic curve, it is obtained that the operating power of a single variable frequency air cooler at this 45Hz frequency is 2.5kW.

[0052] According to the total power calculation formula: the first scheme total power = 2.5kW x 2 = 5kW.

[0053] Further, according to the same calculation process, the remaining start-up schemes are processed in turn. For each start-up scheme, the operating frequency is obtained, the single power is queried, and the total power is calculated. Finally, a plurality of scheme total powers corresponding to all start-up schemes are obtained, ensuring the accuracy and comparability of energy consumption evaluation of each scheme, and providing complete energy consumption data support for energy efficiency optimization decision.

[0054] Finally, by comparing the total power calculation results of all start-up schemes, the scheme with the smallest total power value is selected as the optimal operating scheme. The number of air coolers corresponding to the optimal operating scheme is determined as the number of start-up variable frequency air coolers to be finally adopted, and the operating frequency corresponding to it is determined as the target operating frequency, ensuring that the digital variable frequency unit operates at the highest energy efficiency under the premise of meeting the cooling load demand.

[0055] S30: Obtain historical running records of a plurality of variable frequency cold air fans, determine a plurality of selected variable frequency cold air fans from the plurality of variable frequency cold air fans in combination with the number of the variable frequency cold air fans to be started; Specifically, obtaining historical running records of a plurality of variable frequency cold air fans, determining a plurality of selected variable frequency cold air fans from the plurality of variable frequency cold air fans in combination with the number of the variable frequency cold air fans to be started, comprises: Obtaining historical running records of the plurality of variable frequency cold air fans, and determining cumulative power consumptions of each variable frequency cold air fan according to the historical running records; Performing ascending sequence sorting on the plurality of variable frequency cold air fans according to the cumulative power consumptions of each variable frequency cold air fan; Selecting a corresponding number of variable frequency cold air fans from the ascending sequence sorting result according to the number of the variable frequency cold air fans to be started, as the plurality of selected variable frequency cold air fans.

[0056] First, obtain historical running records of a plurality of variable frequency cold air fans, and extract cumulative power consumption data of each device therefrom. The cumulative power consumption is the total consumption of electric energy since the device is put into operation, which can objectively reflect the historical working intensity and service life consumption of the device.

[0057] According to the cumulative power consumption values of each variable frequency cold air fan, perform ascending sequence sorting on all available devices, so that the devices with lower cumulative power consumption are arranged in front, and the devices with higher cumulative power consumption are arranged in back, forming a device sequence in the order of historical working load from light to heavy. Further, select a corresponding number of variable frequency cold air fans from the front end of the ascending sequence sorting result according to the number of the variable frequency cold air fans to be started. This selection mechanism preferentially starts the devices with less historical workload, so that the cold air fans with lower cumulative power consumption obtain more running opportunities, and the devices with higher cumulative power consumption are temporarily kept in standby state.

[0058] Through this balancing selection strategy based on cumulative power consumption, the working load distribution among a plurality of variable frequency cold air fans can be effectively balanced, and the unbalanced phenomenon that part of the devices are in long-term high-load operation while another part of the devices are in long-term idle state can be avoided, thereby realizing overall life optimization and reliability improvement of the device cluster.

[0059] S40: Configure the digital variable frequency unit according to the plurality of selected variable frequency cold air fans and the target running frequency, and perform cooling for the target area.

[0060] Specifically, configure the running parameters of the digital variable frequency unit according to the selected variable frequency cold air fans and the corresponding target running frequencies. By issuing a start instruction and a frequency setting value to the digital frequency converter of the specified variable frequency cold air fan, control the corresponding device to be put into operation at the optimized frequency, thereby realizing precise cooling for the target area, and completing the closed-loop control from strategy calculation to actual execution.

[0061] In summary, the configured digital variable frequency unit starts to operate according to the predetermined parameters, and multiple variable frequency cooling fans work together at the specified frequency to deliver the refrigerating capacity meeting the cooling load demand to the target area. This closed-loop control process realizes complete automation regulation and control from demand sensing, strategy optimization to precise execution, and finally achieves the dual goals of maximizing energy efficiency and balancing equipment life under the premise of ensuring comfort.

[0062] In summary, the embodiments of the present application have at least the following technical effects: Compared with the prior art, the present application first calculates the cooling load demand of the target area in real time, and accurately determines the optimal combination of the number of starting units and the operating frequency based on the demand and the equipment parameters, effectively avoiding the situations of excessive cooling or insufficient cooling, and realizing precise cooling and energy saving from the source. Secondly, when determining the number of starting units, a special cooling fan number determinator is constructed, and by enumerating and comparing the total power of different starting schemes, the optimal operating point with the lowest overall energy consumption can be automatically found, significantly improving the operating energy efficiency. Thirdly, when selecting specific operating cooling fans, the historical operation records of the equipment are fully considered, and the equipment with lower cumulative power consumption is preferentially started, promoting the balanced distribution of workloads among multiple cooling fans, and helping to slow down the wear speed of single equipment. Finally, the optimized decision of the number of starting units, the operating frequency and the equipment selection strategy are integrated and applied to the actual configuration and operation of the digital variable frequency unit, forming a complete intelligent closed-loop control process, and finally achieving the reduction of comprehensive energy consumption and the extension of the overall service life of the equipment under the premise of ensuring environmental comfort.

[0063] Embodiment two, as shown in Figure 2 Based on the same inventive concept of the method for cooperative regulation and control of the digital variable frequency unit provided in embodiment one, the present embodiment further provides a system for cooperative regulation and control of the digital variable frequency unit, comprising: A cooling load acquisition module 11 is configured to acquire the real-time cooling load demand of the target area, wherein the target area has a digital variable frequency unit, and the digital variable frequency unit has a plurality of digital frequency converters connected to a plurality of variable frequency cooling fans; An operating parameter decision module 12 is configured to determine the number of starting variable frequency cooling fans and the target operating frequency of each starting variable frequency cooling fan according to the real-time cooling load demand and the equipment parameters of each variable frequency cooling fan; A cooling fan selection module 13 is configured to acquire the historical operation records of the plurality of variable frequency cooling fans, and determine a plurality of selected variable frequency cooling fans from the plurality of variable frequency cooling fans in combination with the number of starting variable frequency cooling fans; A unit configuration and cooling module 14 is configured to configure the digital variable frequency unit according to the plurality of selected variable frequency cooling fans and the target operating frequency, so as to perform cooling for the target area.

[0064] The cold load obtaining module 11 is specifically configured to: obtain a real-time cold load demand of the target area, including: obtain a target temperature and a real-time temperature of the target area; calculate a temperature deviation between the target temperature and the real-time temperature; obtain a space parameter of the target area, the space parameter including an area and a height of the target area; calculate the real-time cold load demand of the target area according to the temperature deviation and the space parameter.

[0065] The running parameter decision module 12 is specifically configured to: determine a number of started variable frequency cold air fans and a target running frequency of each started variable frequency cold air fan according to the real-time cold load demand and device parameters of each variable frequency cold air fan, including: construct a cold air fan number determinator according to the device parameters of each variable frequency cold air fan and the space parameter of the target area; input the real-time cold load demand into the cold air fan number determinator to obtain a minimum starting number of cold air fans; start from the minimum starting number of cold air fans, and increase the starting number one by one until the total number of the plurality of variable frequency cold air fans, to form a plurality of starting schemes; for each starting scheme, determine a running frequency of each starting scheme according to the real-time cold load demand, to obtain a plurality of running frequencies; calculate a total power corresponding to each starting scheme according to the plurality of running frequencies and the device parameters of each variable frequency cold air fan, to obtain a plurality of scheme total powers; select a starting scheme with the smallest scheme total power from the plurality of scheme total powers, take the starting number corresponding to the starting scheme as the number of started variable frequency cold air fans, and take the running frequency corresponding to the starting scheme as the target running frequency.

[0066] Specifically, the cold air fan number determinator is constructed according to the device parameters of each variable frequency cold air fan and the space parameter of the target area, including: jointly search a matching historical record set by taking the device parameters as a first search condition and taking the space parameter as a second search condition; obtain a plurality of historical cold load demands from the matching historical record set, construct a sample cold load demand set, and label a minimum starting number of each historical cold load demand according to the matching historical record set, to obtain a sample minimum starting number set; train the cold air fan number determinator based on the sample cold load demand set and the sample minimum starting number set.

[0067] Further, for each of the starting schemes, the running frequency of each starting scheme is determined according to the real-time cold load demand, to obtain a plurality of running frequencies, including: selecting a first starting scheme from the plurality of starting schemes, and obtaining a first starting number corresponding to the first starting scheme; According to the real-time cold load demand and the first starting number, the average cold load that each variable frequency cold fan needs to bear is calculated; Based on the average cold load and the device parameters of each variable frequency cold fan, the running frequency of the variable frequency cold fan is calculated to obtain the first running frequency corresponding to the first starting scheme; According to the way of determining the first running frequency of the first starting scheme, the running frequencies of other starting schemes are determined in turn to obtain a plurality of running frequencies.

[0068] Further, according to the plurality of running frequencies and the device parameters of each variable frequency cold fan, the total power corresponding to each starting scheme is calculated to obtain a plurality of scheme total powers, including: Obtain the frequency-power characteristic curve of each variable frequency cold fan; selecting a first starting scheme from the plurality of starting schemes, and obtaining a first starting number and a first running frequency corresponding to the first starting scheme; According to the first running frequency, the corresponding single running power is obtained from the frequency-power characteristic curve; Multiply the single running power by the first starting number to obtain the first scheme total power of the first starting scheme; According to the way of calculating the first scheme total power, the scheme total power of other starting schemes is calculated in turn to obtain a plurality of scheme total powers.

[0069] Among them, the cold fan selection module 13 is specifically used for: Obtain the historical operation record of a plurality of variable frequency cold fans, and determine a plurality of selected variable frequency cold fans in the plurality of variable frequency cold fans in combination with the starting variable frequency cold fan number, including: Obtain the historical operation record of the plurality of variable frequency cold fans, and determine the cumulative power consumption of each variable frequency cold fan according to the historical operation record; According to the cumulative power consumption of each variable frequency cold fan, the plurality of variable frequency cold fans are sorted in ascending order; According to the starting variable frequency cold fan number, a corresponding number of variable frequency cold fans are selected from the ascending order sorting result as the plurality of selected variable frequency cold fans.

[0070] Among them, the unit configuration and cooling supply module 14 is specifically used for: The digital variable frequency unit is configured according to the plurality of selected variable frequency coolers and the target operating frequency to supply cooling to the target area.

[0071] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the above describes a specific embodiment of the present application. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0072] The above only describes the preferred embodiments of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0073] The present application and the drawings are only exemplary descriptions of the present application, and are considered to cover any and all modifications, changes, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalent technology, the present application intends to include these modifications and changes.

Claims

1. A method for coordinated control of digital frequency converter units, characterized in that, The method includes: 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. 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. 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. 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.

2. The method according to claim 1, characterized in that, Obtain the real-time cooling load demand for the target area, including: Obtain the target temperature and real-time temperature of the target area; Calculate the temperature deviation between the target temperature and the real-time temperature; Obtain the spatial parameters of the target region, including the region area and region height; Based on the temperature deviation and the spatial parameters, the real-time cooling load demand of the target area is calculated.

3. The method according to claim 2, characterized in that, 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: 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; Input the real-time cooling load demand into the air cooler quantity determiner to obtain the minimum number of air coolers to start. 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; 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; 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; 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 operating frequency corresponding to it is taken as the target operating frequency.

4. The method according to claim 3, characterized in that, 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, including: 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. 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 a sample minimum start-up quantity set. Based on the sample cooling load demand set and the sample minimum start-up quantity set, the air cooler quantity determiner is trained.

5. The method according to claim 3, characterized in that, 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: Select a first startup scheme from the plurality of startup schemes, and obtain a first startup quantity corresponding to the first startup scheme; 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; 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. 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.

6. The method according to claim 5, characterized in that, 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: Obtain the frequency-power characteristic curves of each of the aforementioned variable frequency air coolers; 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; Based on the first operating frequency, the corresponding single-unit operating power is obtained from the frequency-power characteristic curve; Multiply the single unit operating power by the first number of startups to obtain the first scheme total power of the first startup scheme; 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.

7. The method according to claim 1, characterized in that, 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: 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; The variable frequency air coolers are sorted in ascending order based on their cumulative power consumption. 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.

8. A digital variable frequency unit collaborative control system, characterized in that, For performing the method according to any one of claims 1-7, comprising: 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. 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. 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. 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.

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