Intelligent heat supply adjusting method and system for heat exchange station

Abstract

The invention relates to the technical field of heat supply engineering, and discloses an intelligent heat supply adjusting method and system for a heat exchange station, and the method comprises the steps: obtaining the operation characteristic value of the heat exchange station, and determining the operation index of the heat exchange station according to the operation characteristic value of the heat exchange station; historical operation indexes of the heat exchange station are obtained, and the operation indexes are corrected according to the historical operation indexes of the heat exchange station; predicting heat loads of the heat exchange stations according to the corrected operation indexes, and clustering the heat exchange stations according to heat load predicted values; and a flow adjusting value is determined according to the clustering result of the heat exchange station, and the valve opening degree of the heat exchange station is adjusted according to the flow adjusting value. According to the method, the load value of the heat exchange station can be accurately predicted and intelligently regulated, so that the heat supply performance of the heat exchange station meets the target heat supply requirement, and the heat supply efficiency of the heat exchange station is effectively improved.

Description

Technical Field

[0001] The present application relates to the field of heating engineering technology, and more specifically, to an intelligent heating regulation method and system for a heat exchange station. Background Art

[0002] The heat exchange station is a device used for heat exchange between the heat source and the heat network or user equipment in the central heating system. It is the hub of central heating and plays a role in regulating and distributing heat. It is essential for the normal operation of the heating system. At present, the main way to provide indoor heating is to centrally control the heat exchange station. The heating system of the heating station transports hot water to various places through a circulating water pump to provide heat for the building structure, thereby providing a thermal comfort environment for users in the building structure.

[0003] In the prior art, the heat exchange station mainly adjusts the flow rate and heat quantity by adjusting the opening of the electric regulating valve of the primary network. At present, the adjustment of the electric valve is highly dependent on manual experience, and it often takes multiple trials and errors to reach the target control value, resulting in the heating performance of the heat exchange station being unable to meet the target heating demand in time. Summary of the invention

[0004] The present invention provides a heat exchange station intelligent heating regulation method and system, which is used to solve the problem that the heating performance of the heat exchange station in the prior art cannot meet the target heating demand in time. The method includes:

[0005] Obtaining the operating characteristic value of the heat exchange station, and determining the operating index of the heat exchange station according to the operating characteristic value of the heat exchange station;

[0006] Obtain historical operating indicators of the heat exchange station, and revise the operating indicators based on the historical operating indicators of the heat exchange station;

[0007] The heat load of the heat exchange station is predicted according to the corrected operation index, and each heat exchange station is clustered according to the predicted heat load value;

[0008] The flow regulation value is determined according to the clustering result of the heat exchange station, and the valve opening of the heat exchange station is adjusted according to the flow regulation value.

[0009] Furthermore, the operating characteristic values ​​of the heat exchange station specifically include environmental data, supply water temperature, return water temperature, supply water pressure, return water pressure and flow rate.

[0010] Further, determining the operation index of the heat exchange station according to the operation characteristic value of the heat exchange station includes:

[0011] Establish the center of the circle, and evenly draw rays from the center of the circle to the surrounding areas as the index axis;

[0012] Normalize the operating characteristic values ​​of the heat exchange station, and fill the normalized operating characteristic values ​​into the index axis;

[0013] Connect the normalized operating characteristic values ​​on the index axis in sequence to obtain the heat exchange station operating characteristic radar chart;

[0014] Calculate the area value of the heat exchange station operation characteristic radar chart, and determine the operation index of the heat exchange station according to the area value of the heat exchange station operation characteristic radar chart.

[0015] Furthermore, the step of correcting the operating index according to the historical operating index of the heat exchange station includes:

[0016] Obtain the historical operating index change of the heat exchange station, and draw the operating index change curve of the heat exchange station according to the historical operating index change of the heat exchange station;

[0017] Obtain a preset sliding time window, and divide the operation indicator change curve according to the preset sliding time window to obtain a plurality of sub-operation indicator change curves;

[0018] Calculate the difference between the maximum and minimum values ​​of the operating index of each sub-operating index change curve, and draw an operating index difference change curve according to the difference between the maximum and minimum values ​​of the operating index of all sub-operating index change curves;

[0019] The absolute values ​​of the slopes of adjacent differences in the difference change curve are calculated, and the average absolute value of the slope of the difference change curve is calculated according to the absolute values ​​of the slopes of adjacent differences in the difference change curve to obtain the operation index fluctuation value, and the operation index of the heat exchange station is corrected according to the operation index fluctuation value.

[0020] Furthermore, the step of correcting the operating index of the heat exchange station according to the operating index fluctuation value includes:

[0021] The operation index of the heat exchange station is corrected according to the operation index correction formula, and the operation index correction formula is specifically:

[0022]

[0023] Among them, K is the corrected operating index of the heat exchange station, K α is the operating index of the heat exchange station before correction, Q is the fluctuation value of the operating index, and Q α is the preset operating index allowable value, R is the preset range coefficient, and exp is the natural exponential function.

[0024] Furthermore, predicting the heat load of the heat exchange station according to the corrected operating index includes:

[0025] Obtaining historical operating indicators and corresponding heat loads of the heat exchange station, and establishing a training sample set based on the historical operating indicators and corresponding heat loads of the heat exchange station;

[0026] An initial heat load prediction model is established according to the training sample set and the initial heat load prediction model is trained to obtain a trained heat load prediction model;

[0027] The corrected operating index of the heat exchange station is obtained, and the corrected operating index of the heat exchange station is input into the trained heat load prediction model to obtain the heat load prediction value of the heat exchange station.

[0028] Furthermore, clustering the heat exchange stations according to the heat load prediction value includes:

[0029] Obtain the predicted heat load value of each heat exchange station, establish a sample data set according to the predicted heat load value of each heat exchange station, and randomly select k initial clustering centers of the sample data set;

[0030] Calculate the Euclidean distance between the sample data in the sample data set and the initial cluster center, and divide each heat exchange station into a corresponding cluster according to the Euclidean distance between the sample data in the sample data set and the initial cluster center;

[0031] Calculate the average value of the sample data in each cluster, and recalculate the cluster center based on the average value of the sample data in each cluster;

[0032] The above steps are iterated repeatedly until the cluster center no longer changes or the number of iterations reaches the preset maximum number of iterations, and the clustering result of the heat exchange station is obtained.

[0033] Further, determining the flow adjustment value according to the clustering result of the heat exchange station includes:

[0034] Determine the cluster center value corresponding to each heat exchange station according to the clustering result of the heat exchange station, judge whether the cluster center value of the heat exchange station is greater than the first preset threshold value, and if the cluster center value of the heat exchange station is greater than the first preset threshold value, set the preset first flow adjustment value as the flow adjustment value of the heat exchange station;

[0035] If the cluster center value of the heat exchange station is less than or equal to the first preset threshold, determining whether the cluster center value of the heat exchange station is greater than a second preset threshold;

[0036] If the cluster center value of the heat exchange station is greater than the second preset threshold, setting the preset second flow adjustment value as the flow adjustment value of the heat exchange station;

[0037] If the cluster center value of the heat exchange station is less than or equal to the second preset threshold, the preset flow adjustment value is set as the flow adjustment value of the heat exchange station.

[0038] Further, the adjusting the valve opening of the heat exchange station according to the flow adjustment value includes:

[0039] The target adjustment flow of the heat exchange station is determined according to the flow regulation value of the heat exchange station, and the valve opening of the heat exchange station is determined according to the target adjustment flow of the heat exchange station.

[0040] In order to achieve the above object, the present invention also provides an intelligent heating regulation system for a heat exchange station, comprising:

[0041] The first module is used to obtain the operating characteristic value of the heat exchange station and determine the operating index of the heat exchange station according to the operating characteristic value of the heat exchange station;

[0042] The second module is used to obtain the historical operating indicators of the heat exchange station and to correct the operating indicators according to the historical operating indicators of the heat exchange station;

[0043] The third module is used to predict the heat load of the heat exchange station according to the corrected operation index, and cluster each heat exchange station according to the predicted heat load value;

[0044] The fourth module is used to determine the flow regulation value according to the clustering result of the heat exchange station, and adjust the valve opening of the heat exchange station according to the flow regulation value.

[0045] The beneficial effects of the present invention are:

[0046] By applying the above technical scheme, the present invention calculates the operating index of the heat exchange station through the operating characteristic value of the heat exchange station, and can accurately predict the heat load of the heat exchange station through the operating index, and timely adjust the flow of the heat exchange station according to the heat load prediction value, thereby improving the stability and reliability of the heating system, and can also improve the heating quality of the heating system, improve the user's comfort, reduce the impact of temperature fluctuations in the heating network on heat users, and effectively improve the heating efficiency of the heat exchange station. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 The overall flow chart of a heat exchange station intelligent heating regulation method proposed in an embodiment of the present invention is shown;

[0049] Figure 2 A structural schematic diagram of an intelligent heating regulation system for a heat exchange station proposed in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0052] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0053] The present application embodiment provides a heat exchange station intelligent heating regulation method, such as Figure 1 As shown, including:

[0054] S101, obtaining an operation characteristic value of a heat exchange station, and determining an operation index of the heat exchange station according to the operation characteristic value of the heat exchange station.

[0055] In some embodiments of the present application, the operating characteristic values ​​of the heat exchange station specifically include environmental data, supply water temperature, return water temperature, supply water pressure, return water pressure and flow rate.

[0056] In some embodiments of the present application, determining the operating index of the heat exchange station according to the operating characteristic values ​​of the heat exchange station includes: establishing a center of a circle, and evenly drawing rays from the center of the circle as an index axis; normalizing the operating characteristic values ​​of the heat exchange station, and filling the normalized operating characteristic values ​​into the index axis; connecting the normalized operating characteristic values ​​on the index axis in sequence to obtain an operating characteristic radar chart of the heat exchange station; calculating the area value of the operating characteristic radar chart of the heat exchange station, and determining the operating index of the heat exchange station according to the area value of the operating characteristic radar chart of the heat exchange station.

[0057] In this embodiment, an operation characteristic radar chart is established by detecting the current environmental data, water supply temperature, return water temperature, water supply pressure, return water pressure and flow of the heat exchange station, and the operation index of the heat exchange station is obtained by calculating the area value of the operation characteristic radar chart. This index comprehensively reflects the operation data value of the heat exchange station, which facilitates the subsequent acquisition of accurate load characteristic values.

[0058] S102, obtaining historical operating indicators of the heat exchange station, and correcting the operating indicators according to the historical operating indicators of the heat exchange station;

[0059] In some embodiments of the present application, the correction of the operating index according to the historical operating index of the heat exchanger station includes: obtaining the historical operating index changes of the heat exchanger station, and drawing the operating index change curve of the heat exchanger station according to the historical operating index changes of the heat exchanger station; obtaining a preset sliding time window, and dividing the operating index change curve according to the preset sliding time window to obtain a plurality of sub-operating index change curves; calculating the difference between the maximum and minimum values ​​of the operating index of each sub-operating index change curve, and drawing an operating index difference change curve according to the difference between the maximum and minimum values ​​of the operating index of all sub-operating index change curves; calculating the absolute value of the slope of adjacent differences in the difference change curve, calculating the average absolute value of the slope of the difference change curve according to the absolute values ​​of the slopes of adjacent differences in the difference change curve, obtaining the operating index fluctuation value, and correcting the operating index of the heat exchanger station according to the operating index fluctuation value.

[0060] In some embodiments of the present application, the step of correcting the operating index of the heat exchange station according to the operating index fluctuation value includes: correcting the operating index of the heat exchange station according to an operating index correction formula, wherein the operating index correction formula is specifically:

[0061]

[0062] Among them, K is the corrected operating index of the heat exchange station, K α is the operating index of the heat exchange station before correction, Q is the fluctuation value of the operating index, and Q α is the preset operating index allowable value, R is the preset range coefficient, and exp is the natural exponential function.

[0063] In this embodiment, the historical operating index of the heat exchange station is specifically the heat exchange efficiency of the heat exchange station. The operating index fluctuation value is calculated by the heat exchange efficiency change curve, so as to correct the heat exchange efficiency of the heat exchange station.

[0064] S103, predicting the heat load of the heat exchange station according to the corrected operation index, and clustering the heat exchange stations according to the predicted heat load values;

[0065] In some embodiments of the present application, the prediction of the heat load of the heat exchange station based on the revised operating indicators includes: obtaining the historical operating indicators and the corresponding heat loads of the heat exchange station, and establishing a training sample set based on the historical operating indicators and the corresponding heat loads of the heat exchange station; establishing an initial heat load prediction model based on the training sample set and training the initial heat load prediction model to obtain a trained heat load prediction model; obtaining the operating indicators of the heat exchange station after correction, inputting the operating indicators of the heat exchange station after correction into the trained heat load prediction model, and obtaining the heat load prediction value of the heat exchange station.

[0066] In this embodiment, an initial heat load prediction model is established based on a deep learning neural network model according to a training sample set and the initial heat load prediction model is trained, and the heat load prediction value of the heat exchange station is predicted by the trained heat load prediction model.

[0067] In some embodiments of the present application, the clustering of each heat exchanger station according to the heat load prediction value includes: obtaining the heat load prediction value of each heat exchanger station, establishing a sample data set according to the heat load prediction value of each heat exchanger station, and randomly selecting k initial clustering centers of the sample data set; calculating the Euclidean distance from the sample data in the sample data set to the initial clustering center, and dividing each heat exchanger station into a corresponding cluster cluster according to the Euclidean distance from the sample data in the sample data set to the initial clustering center; calculating the average value of the sample data in each cluster cluster, and recalculating the cluster center according to the average value of the sample data in each cluster cluster; repeating the above steps until the cluster center no longer changes or the number of iterations reaches a preset maximum number of iterations, and obtaining the clustering result of the heat exchanger station.

[0068] In this embodiment, the heat load prediction values ​​of each heat exchange station are clustered based on the k-means clustering algorithm, thereby achieving classification of each heat exchange station.

[0069] S104, determining a flow adjustment value according to the clustering result of the heat exchange station, and adjusting the valve opening of the heat exchange station according to the flow adjustment value.

[0070] In some embodiments of the present application, determining the flow regulation value according to the clustering results of the heat exchanger stations includes: determining the cluster center value corresponding to each heat exchanger station according to the clustering results of the heat exchanger stations, judging whether the cluster center value of the heat exchanger station is greater than a first preset threshold value, if the cluster center value of the heat exchanger station is greater than the first preset threshold value, setting the preset first flow regulation value as the flow regulation value of the heat exchanger station; if the cluster center value of the heat exchanger station is less than or equal to the first preset threshold value, judging whether the cluster center value of the heat exchanger station is greater than the second preset threshold value; if the cluster center value of the heat exchanger station is greater than the second preset threshold value, setting the preset second flow regulation value as the flow regulation value of the heat exchanger station; if the cluster center value of the heat exchanger station is less than or equal to the second preset threshold value, setting the preset flow regulation value as the flow regulation value of the heat exchanger station.

[0071] In this embodiment, the flow regulation value of the heat exchange station is set by the cluster center value of the cluster to which the heat exchange station belongs, so that the flow of the heat exchange station can be adjusted in time, the stability and reliability of the heating system can be improved, and the heating quality of the heating system can be improved to improve the comfort of users.

[0072] In some embodiments of the present application, adjusting the valve opening of the heat exchange station according to the flow regulation value includes: determining the target adjustment flow of the heat exchange station according to the flow regulation value of the heat exchange station, and determining the valve opening of the heat exchange station according to the target adjustment flow of the heat exchange station.

[0073] In this embodiment, the flow control of the heat exchange station is achieved by controlling the valve opening of the heat exchange station, so that the flow of the heat exchange station reaches the target adjusted flow.

[0074] Based on the same technical concept, such as Figure 2 As shown, the present invention also provides an intelligent heating regulation system for a heat exchange station, including: a first module, used to obtain the operating characteristic value of the heat exchange station, and determine the operating index of the heat exchange station according to the operating characteristic value of the heat exchange station; a second module, used to obtain the historical operating index of the heat exchange station, and correct the operating index according to the historical operating index of the heat exchange station; a third module, used to predict the thermal load of the heat exchange station according to the corrected operating index, and cluster each heat exchange station according to the thermal load prediction value; a fourth module, used to determine the flow regulation value according to the clustering result of the heat exchange station, and adjust the valve opening of the heat exchange station according to the flow regulation value.

[0075] By applying the above technical solutions, the present invention obtains the operating characteristic values ​​of the heat exchange station, determines the operating index of the heat exchange station according to the operating characteristic values ​​of the heat exchange station; obtains the historical operating index of the heat exchange station, and corrects the operating index according to the historical operating index of the heat exchange station; predicts the heat load of the heat exchange station according to the corrected operating index, and clusters each heat exchange station according to the predicted heat load value; determines the flow adjustment value according to the clustering result of the heat exchange station, and adjusts the valve opening of the heat exchange station according to the flow adjustment value. The present invention can accurately predict the load value of the heat exchange station and perform intelligent regulation, so that the heating performance of the heat exchange station meets the target heating demand, and effectively improves the heating efficiency of the heat exchange station.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A heat exchange station intelligent heating regulation method, characterized in that: The method comprises: Obtaining the operating characteristic value of the heat exchange station, and determining the operating index of the heat exchange station according to the operating characteristic value of the heat exchange station; Obtain historical operating indicators of the heat exchange station, and revise the operating indicators based on the historical operating indicators of the heat exchange station; The heat load of the heat exchange station is predicted according to the corrected operation index, and each heat exchange station is clustered according to the predicted heat load value; The flow regulation value is determined according to the clustering result of the heat exchange station, and the valve opening of the heat exchange station is adjusted according to the flow regulation value.

2. The intelligent heating regulation method for a heat exchange station according to claim 1, characterized in that: The operating characteristic values ​​of the heat exchange station specifically include environmental data, supply water temperature, return water temperature, supply water pressure, return water pressure and flow rate.

3. The intelligent heating regulation method for a heat exchange station according to claim 2, characterized in that: Determining the operation index of the heat exchange station according to the operation characteristic value of the heat exchange station includes: Establish the center of the circle, and evenly draw rays from the center of the circle to the surrounding areas as the index axis; Normalize the operating characteristic values ​​of the heat exchange station, and fill the normalized operating characteristic values ​​into the index axis; Connect the normalized operating characteristic values ​​on the index axis in sequence to obtain the heat exchange station operating characteristic radar chart; Calculate the area value of the heat exchange station operation characteristic radar chart, and determine the operation index of the heat exchange station according to the area value of the heat exchange station operation characteristic radar chart.

4. The intelligent heating regulation method for a heat exchange station according to claim 3, characterized in that: The step of correcting the operating index according to the historical operating index of the heat exchange station includes: Obtain the historical operating index change of the heat exchange station, and draw the operating index change curve of the heat exchange station according to the historical operating index change of the heat exchange station; Obtain a preset sliding time window, and divide the operation indicator change curve according to the preset sliding time window to obtain a plurality of sub-operation indicator change curves; Calculate the difference between the maximum and minimum values ​​of the operating index of each sub-operating index change curve, and draw an operating index difference change curve according to the difference between the maximum and minimum values ​​of the operating index of all sub-operating index change curves; The absolute values ​​of the slopes of adjacent differences in the difference change curve are calculated, and the average absolute value of the slope of the difference change curve is calculated according to the absolute values ​​of the slopes of adjacent differences in the difference change curve to obtain the operation index fluctuation value, and the operation index of the heat exchange station is corrected according to the operation index fluctuation value.

5. The intelligent heating regulation method for a heat exchange station according to claim 4, characterized in that: The step of correcting the operating index of the heat exchange station according to the operating index fluctuation value includes: The operation index of the heat exchange station is corrected according to the operation index correction formula, and the operation index correction formula is specifically: Among them, K is the corrected operating index of the heat exchange station, K α is the operating index of the heat exchange station before correction, Q is the fluctuation value of the operating index, and Q α is the preset operating index allowable value, R is the preset range coefficient, and exp is the natural exponential function.

6. The intelligent heating regulation method for a heat exchange station according to claim 5, characterized in that: The method of predicting the heat load of the heat exchange station according to the corrected operating index includes: Obtaining historical operating indicators and corresponding heat loads of the heat exchange station, and establishing a training sample set based on the historical operating indicators and corresponding heat loads of the heat exchange station; An initial heat load prediction model is established according to the training sample set and the initial heat load prediction model is trained to obtain a trained heat load prediction model; The corrected operating index of the heat exchange station is obtained, and the corrected operating index of the heat exchange station is input into the trained heat load prediction model to obtain the heat load prediction value of the heat exchange station.

7. The intelligent heat supply regulation method of a heat exchange station according to claim 6, characterized in that: The clustering of the heat exchange stations according to the heat load prediction value includes: Obtain the predicted heat load value of each heat exchange station, establish a sample data set according to the predicted heat load value of each heat exchange station, and randomly select k initial clustering centers of the sample data set; Calculate the Euclidean distance between the sample data in the sample data set and the initial cluster center, and divide each heat exchange station into a corresponding cluster according to the Euclidean distance between the sample data in the sample data set and the initial cluster center; Calculate the average value of the sample data in each cluster, and recalculate the cluster center based on the average value of the sample data in each cluster; The above steps are iterated repeatedly until the cluster center no longer changes or the number of iterations reaches the preset maximum number of iterations, and the clustering result of the heat exchange station is obtained.

8. The intelligent heat supply regulation method of a heat exchange station according to claim 7, characterized in that: The determining of the flow adjustment value according to the clustering result of the heat exchange station includes: Determine the cluster center value corresponding to each heat exchange station according to the clustering result of the heat exchange station, judge whether the cluster center value of the heat exchange station is greater than the first preset threshold value, and if the cluster center value of the heat exchange station is greater than the first preset threshold value, set the preset first flow adjustment value as the flow adjustment value of the heat exchange station; If the cluster center value of the heat exchange station is less than or equal to the first preset threshold, determining whether the cluster center value of the heat exchange station is greater than a second preset threshold; If the cluster center value of the heat exchange station is greater than the second preset threshold, setting the preset second flow adjustment value as the flow adjustment value of the heat exchange station; If the cluster center value of the heat exchange station is less than or equal to the second preset threshold, the preset flow adjustment value is set as the flow adjustment value of the heat exchange station.

9. The intelligent heat supply regulation method for a heat exchange station according to claim 8, characterized in that: The step of adjusting the valve opening of the heat exchange station according to the flow adjustment value includes: The target adjustment flow of the heat exchange station is determined according to the flow regulation value of the heat exchange station, and the valve opening of the heat exchange station is determined according to the target adjustment flow of the heat exchange station.

10. An intelligent heating regulation system for a heat exchange station, characterized in that: include: The first module is used to obtain the operating characteristic value of the heat exchange station and determine the operating index of the heat exchange station according to the operating characteristic value of the heat exchange station; The second module is used to obtain the historical operating indicators of the heat exchange station and to correct the operating indicators according to the historical operating indicators of the heat exchange station; The third module is used to predict the heat load of the heat exchange station according to the corrected operation index, and cluster each heat exchange station according to the predicted heat load value; The fourth module is used to determine the flow regulation value according to the clustering result of the heat exchange station, and adjust the valve opening of the heat exchange station according to the flow regulation value.

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