A tree topology-based heat supply prediction model construction method

Abstract

This invention provides a method for constructing a heating prediction model based on tree topology, including the following steps: S1, using PWL multi-segment linear fitting to establish PWL models of boiler control parameters and boiler output heat, heat exchanger control parameters and heat exchanger output heat, heat exchanger output heat and heat exchanger input heat, and boiler output heat and heat exchanger input heat, based on historical heating data. The beneficial effects of this invention are: by establishing heat transfer models between equipment and within the equipment itself, accurate prediction and adjustment of control parameters are achieved, reducing waste and saving energy. Compared with traditional control methods, this method achieves accurate and coordinated control, faster integration, and automatically establishes piecewise linear models for each control point, facilitating the formulation of control strategies and improving work efficiency.

Description

Technical Field

[0001] This invention belongs to the field of model building technology, and in particular relates to a method for building a heating prediction model based on tree topology. Background Technology

[0002] Modern heating systems involve using boilers or other heat sources to deliver high-temperature hot water to heat exchange stations via a primary network. Heat is then exchanged through plate heat exchangers in these stations, and the heat is distributed to users via a secondary network. Maintaining a relatively stable room temperature is crucial for heating systems. Actual heating systems are more complex, with each station requiring multiple heat exchangers. Current solutions primarily involve calculating the heat load to create a heating model, then controlling heating parameters manually or via PID control. This model-based approach has several drawbacks: First, it lacks precise, coordinated control. Since each device operates independently, both PID and manual adjustments have significant time lags, preventing simultaneous equilibrium and leading to waste. Second, project integration is slow. Traditional project integration requires equipment engineers or project managers to understand the control strategies for each component and device, which is time-consuming and labor-intensive. Summary of the Invention

[0003] In view of this, the present invention aims to propose a method for constructing a heating prediction model based on tree topology, in order to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, the technical solution of the present invention is implemented as follows:

[0005] The first aspect of this invention provides a method for constructing a heating prediction model based on tree topology, comprising the following steps:

[0006] S1. Using the PWL multi-segment linear fitting method, establish PWL models of boiler control parameters and boiler output heat, heat exchanger control parameters and heat exchanger output heat, heat exchanger output heat and heat exchanger input heat, and boiler output heat and heat exchanger input heat using historical heating data.

[0007] S2. Construct a secondary water supply heat prediction model based on historical heating data, or calculate the theoretical heating heat based on the building's designed heat load.

[0008] Furthermore, in step S1:

[0009] Historical boiler heat output is calculated using historical outlet water temperature, historical return water temperature, and historical outlet water flow rate.

[0010] A PWL model of boiler control parameters and boiler output heat was established using the PWL multi-segment linear fitting method.

[0011] The historical heat output of the heat exchanger is calculated using the historical heat exchanger output outlet water temperature, historical heat exchanger output return water temperature, and historical heat exchanger output flow rate.

[0012] A PWL model of the heat exchanger control parameters and heat exchanger output was established using the PWL multi-segment linear fitting method.

[0013] The historical heat input of the heat exchanger is calculated by using the historical heat exchanger input outlet temperature, historical heat exchanger input return temperature, and historical heat exchanger input flow rate.

[0014] The historical heat output and input of the heat exchanger were used to establish a PWL model of the heat output and input of the heat exchanger using the PWL multi-segment linear fitting method.

[0015] The historical boiler output heat and historical heat exchanger input heat were used to establish a PWL model of boiler output heat and heat exchanger input heat by using the PWL multi-segment linear fitting method.

[0016] Furthermore, in step S2, a secondary water supply heat prediction model is constructed using historical light intensity, historical outdoor temperature, historical set room temperature, historical average room temperature, and historical heat exchanger heat supply.

[0017] A second aspect of the present invention provides a heating control method based on tree topology, comprising the following steps:

[0018] A1. Input real-time data into the secondary water supply heat prediction model to obtain the theoretical heat supply, or calculate the secondary water supply heat according to the heat load designed for the building. The secondary water supply heat prediction model is constructed according to the method described in the first aspect.

[0019] A2. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The theoretical heat exchanger control parameters are obtained by using the PWL model of the heat exchanger control parameters and the heat output of the heat exchanger.

[0020] The heat exchanger control parameters and the PWL model of the heat exchanger output heat are constructed according to the method described in the first aspect;

[0021] Furthermore, it also includes the following steps:

[0022] A3. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The PWL model is used to calculate the theoretical heat input of the heat exchanger by inputting the heat output of the heat exchanger and the heat input of the heat exchanger.

[0023] The PWL model of the heat output and heat input of the heat exchanger is constructed according to the method described in the first aspect;

[0024] A4. The theoretical boiler output heat is obtained by inputting the theoretical heat exchanger input heat to the boiler output heat and using the PWL model of the heat exchanger input heat.

[0025] The PWL model for the boiler output heat and the heat exchanger input heat is constructed according to the method described in the first aspect;

[0026] A5. Input the theoretical boiler output heat into the PWL model of boiler control parameters and boiler output heat to obtain the theoretical boiler control parameters;

[0027] The boiler control parameters and the PWL model of boiler output heat are constructed according to the method described in the first aspect;

[0028] A6. Adjust the boiler control parameters and heat exchanger control parameters in real time according to the theoretical heat exchanger control parameters and the theoretical boiler control parameters.

[0029] A third aspect of the present invention provides a heating prediction model construction device based on tree topology, comprising:

[0030] The data acquisition module is used to collect historical heating data.

[0031] The module is used to build PWL models of boiler control parameters and boiler output heat, heat exchanger control parameters and heat exchanger output heat, heat exchanger output heat and heat exchanger input heat, and boiler output heat and heat exchanger input heat by using the PWL multi-segment linear fitting method to collect historical heating data.

[0032] A prediction model for secondary water supply heat was constructed based on historical heating data.

[0033] A fourth aspect of the present invention provides a heating control device based on a tree topology, comprising:

[0034] Real-time data acquisition module, used to collect real-time data;

[0035] The prediction module is used to perform the following steps:

[0036] A1. Real-time data is input into the secondary water supply heat prediction model to obtain the theoretical heat supply, wherein the secondary water supply heat prediction model is constructed according to the method described in the first aspect.

[0037] A2. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The theoretical heat exchanger control parameters are obtained by using the PWL model of the heat exchanger control parameters and the heat output of the heat exchanger.

[0038] The heat exchanger control parameters and the PWL model for the heat exchanger output heat are constructed according to the method described in any one of claims 1-3;

[0039] A3. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The PWL model is used to calculate the theoretical heat input of the heat exchanger by inputting the heat output of the heat exchanger and the heat input of the heat exchanger.

[0040] The PWL model of the heat output and heat input of the heat exchanger is constructed according to the method described in the first aspect;

[0041] A4. The theoretical boiler output heat is obtained by inputting the theoretical heat exchanger input heat to the boiler output heat and using the PWL model of the heat exchanger input heat.

[0042] The PWL model for the boiler output heat and the heat exchanger input heat is constructed according to the method described in the first aspect;

[0043] A5. Input the theoretical boiler output heat into the PWL model of boiler control parameters and boiler output heat to obtain the theoretical boiler control parameters;

[0044] The boiler control parameters and the PWL model of boiler output heat are constructed according to the method described in the first aspect;

[0045] The control module is used to adjust the boiler control parameters and heat exchanger control parameters in real time according to the theoretical heat exchanger control parameters and the theoretical boiler control parameters.

[0046] The fifth aspect of the present invention provides an electronic device, including a processor and a memory communicatively connected to the processor and used to store processor-executable instructions, the processor being used to perform the method described in the first or second aspect above.

[0047] A sixth aspect of the present invention provides a server including at least one processor and a memory communicatively connected to the processor, the memory storing instructions executable by the at least one processor, the instructions being executed by the processor to cause the at least one processor to perform the method as described in the first or second aspect.

[0048] The seventh aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method described in either the first aspect or the second aspect.

[0049] Compared with existing technologies, the heating prediction model construction method based on tree topology described in this invention has the following advantages:

[0050] The present invention discloses a heating prediction model construction method based on tree topology. This method establishes a virtual architecture through a topology diagram, enabling coordinated regulation between devices. Simultaneously, it establishes heat transfer models between devices and within each device, achieving accurate prediction and adjustment of control parameters. This allows the entire system to reach equilibrium at a unified time, reducing waste and saving energy. Compared to traditional control methods, this method achieves accurate coordinated regulation and balances the secondary power grid. Furthermore, it offers faster integration compared to traditional methods, automatically establishing piecewise linear models for each control point, facilitating the formulation of control strategies and improving work efficiency. Attached Figure Description

[0051] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0052] Figure 1 This is a schematic diagram of the construction method described in an embodiment of the present invention. Implementation

[0053] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0054] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. Example

[0055] like Figure 1 As shown, a method for constructing a heating prediction model based on tree topology includes the following steps:

[0056] S1. Using the PWL multi-segment linear fitting method, establish PWL models of boiler control parameters and boiler output heat, heat exchanger control parameters and heat exchanger output heat, heat exchanger output heat and heat exchanger input heat, and boiler output heat and heat exchanger input heat using historical heating data.

[0057] S2. Construct a secondary water supply heat prediction model based on historical heating data, or calculate the theoretical heating heat based on the building's designed heat load.

[0058] In step S1:

[0059] Historical boiler heat output is calculated using historical outlet water temperature, historical return water temperature, and historical outlet water flow rate.

[0060] A PWL model of boiler control parameters and boiler output heat was established using the PWL multi-segment linear fitting method.

[0061] The historical heat output of the heat exchanger is calculated using the historical heat exchanger output outlet water temperature, historical heat exchanger output return water temperature, and historical heat exchanger output flow rate.

[0062] A PWL model of the heat exchanger control parameters and heat exchanger output was established using the PWL multi-segment linear fitting method.

[0063] The historical heat input of the heat exchanger is calculated by using the historical heat exchanger input outlet temperature, historical heat exchanger input return temperature, and historical heat exchanger input flow rate.

[0064] The historical heat output and input of the heat exchanger were used to establish a PWL model of the heat output and input of the heat exchanger using the PWL multi-segment linear fitting method.

[0065] The historical boiler output heat and historical heat exchanger input heat were used to establish a PWL model of boiler output heat and heat exchanger input heat by using the PWL multi-segment linear fitting method.

[0066] Select key node equipment, boiler room, heat exchanger, and terminal, denoted as A, [B1,B2,...,Bn], and [E1,E2,...,En] respectively, and establish the topological relationship between the three types of nodes. For boiler room A, the boiler room outlet temperature GA, boiler room return temperature HA, boiler room outlet flow rate LA, and boiler control parameters KA of each currently active control point of A are collected by sensors.

[0067] For heat exchanger node Bi, the heat exchanger input outlet water temperature C1GBi, the heat exchanger input return water temperature C1HBi, and the heat exchanger input flow rate C1LBi are collected by sensors.

[0068] The heat exchanger output supply water temperature C2GBi, heat exchanger output return water temperature C2HBi, heat exchanger output flow rate C2LBi, and heat exchanger control parameters KBi at control points Bi are collected by sensors.

[0069] The expected average indoor temperature of all rooms heated by Bi is denoted as EBi, and is set according to project requirements. For node Ei, the indoor temperature ti is collected by a temperature sensor, the outdoor temperature T is collected by a weather station, and the light intensity L is recorded as follows:

[0070] Boiler output heat QA = (GA - HA) × LA;

[0071] The heat output of the heat exchanger is QC2Bi = (C2GBi - C2HBi) × C2LBi;

[0072] The heat input to the heat exchanger is QC1Bi = (C1GBi - C1HBi) × C1LBi;

[0073] In step S2, a secondary water supply heat prediction model is constructed using historical light intensity, historical outdoor temperature, historical set room temperature, historical average room temperature, and historical heat exchanger heat supply.

[0074] For a heat exchanger Bi, we calculate the average room temperature tBi of all terminals belonging to heat exchanger Bi. We establish a machine learning model between the heat supply QC2GBi of the heat exchanger, the outdoor temperature T, the light intensity L, the room temperature EBi, and the average room temperature tBi, i.e., QC2GBi=f(T, L, EBi, tBi).

[0075] A heating control method based on tree topology includes the following steps:

[0076] A1. Input real-time data into the secondary water supply heat prediction model to obtain the theoretical heat supply, or calculate the secondary water supply heat based on the heat load designed for the building. The secondary water supply heat prediction model is constructed according to the above-mentioned tree-topology-based heating control model construction method.

[0077] A2. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The theoretical heat exchanger control parameters are obtained by using the PWL model of the heat exchanger control parameters and the heat output of the heat exchanger.

[0078] The PWL model of heat exchanger control parameters and heat exchanger output heat is constructed according to the above-described tree topology-based heating control model construction method.

[0079] It also includes the following steps:

[0080] A3. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The PWL model is used to calculate the theoretical heat input of the heat exchanger by inputting the heat output of the heat exchanger and the heat input of the heat exchanger.

[0081] The PWL model for the heat output and heat input of the heat exchanger is constructed according to the heating control model construction method based on tree topology as described above.

[0082] A4. The theoretical boiler output heat is obtained by inputting the theoretical heat exchanger input heat to the boiler output heat and using the PWL model of the heat exchanger input heat.

[0083] The PWL model for boiler output heat and heat exchanger input heat is constructed according to the above-mentioned tree topology-based heating control model construction method.

[0084] A5. Input the theoretical boiler output heat into the PWL model of boiler control parameters and boiler output heat to obtain the theoretical boiler control parameters;

[0085] The PWL model of boiler control parameters and boiler output heat is constructed according to the above-mentioned tree topology-based heating control model construction method.

[0086] A6. Adjust the boiler control parameters and heat exchanger control parameters in real time according to the theoretical heat exchanger control parameters and the theoretical boiler control parameters.

[0087] Work process:

[0088] For each heat exchanger Bi, we can calculate the theoretical heat supply need_QC2GBi on the output side of each heat exchanger. We then use the theoretical heat supply need_QC2GBi as the theoretical heat output of the heat exchanger and input it into the PWL model of the heat exchanger control parameters and the heat output of the heat exchanger to calculate the theoretical heat exchanger control parameter need_KBi.

[0089] The theoretical heat exchanger output heat (need_QC2Bi) is input into the PWL model of the heat exchanger output heat and heat exchanger input heat to obtain the theoretical heat exchanger input heat (need_QC1Bi) at a single heat exchanger outlet; The theoretical heat exchanger input heat (need_QC1B) = [QC1GB1 + ... + QC1GBi].

[0090] The theoretical boiler output heat need_QC1B is obtained by inputting the theoretical heat exchanger input heat need_QA into the PWL model of the boiler output heat and the heat exchanger input heat.

[0091] The theoretical boiler output heat need_QA is input into the PWL model of boiler control parameters and boiler output heat to obtain the theoretical boiler control parameter need_KA.

[0092] The boiler control parameter KA and the heat exchanger control parameter KBi are adjusted in real time according to the theoretical heat exchanger control parameter need_KBi and the theoretical boiler control parameter need_KA.

[0093] This invention establishes a virtual architecture through a topology diagram, enabling coordinated adjustment between devices. Simultaneously, it establishes heat transfer models between devices and within the devices themselves, achieving accurate prediction and adjustment of control parameters. This method allows the entire system to reach a balanced state at a unified time, reducing waste and saving energy. Compared to traditional control methods, this method achieves accurate coordinated control and balances the secondary power grid. Compared to traditional control methods, this method allows for faster integration and automatically establishes a piecewise linear model for each control point, facilitating the formulation of control strategies and improving work efficiency. Example

[0094] A heating prediction model construction device based on tree topology, characterized in that it includes:

[0095] The data acquisition module is used to collect historical heating data.

[0096] The module is used to build PWL models of boiler control parameters and boiler output heat, heat exchanger control parameters and heat exchanger output heat, heat exchanger output heat and heat exchanger input heat, and boiler output heat and heat exchanger input heat by using the PWL multi-segment linear fitting method to collect historical heating data.

[0097] A prediction model for secondary water supply heat was constructed based on historical heating data. Example

[0098] A heating control device based on tree topology, characterized in that it comprises:

[0099] Real-time data acquisition module, used to collect real-time data;

[0100] The prediction module is used to perform the following steps:

[0101] A1. Input the real-time data into the secondary water supply heat prediction model to obtain the theoretical heat supply. The secondary water supply heat prediction model is obtained according to the heating control model construction method based on tree topology as described in Example 1.

[0102] A2. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The theoretical heat exchanger control parameters are obtained by using the PWL model of the heat exchanger control parameters and the heat output of the heat exchanger.

[0103] The heat exchanger control parameters and the PWL model of the heat exchanger output heat are obtained according to the heating control model construction method based on tree topology as described in Example 1.

[0104] A3. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The PWL model is used to calculate the theoretical heat input of the heat exchanger by inputting the heat output of the heat exchanger and the heat input of the heat exchanger.

[0105] The PWL model for the heat output and heat input of the heat exchanger is obtained according to the heating control model construction method based on tree topology as described in Example 1.

[0106] A4. The theoretical boiler output heat is obtained by inputting the theoretical heat exchanger input heat to the boiler output heat and using the PWL model of the heat exchanger input heat.

[0107] The PWL model for boiler output heat and heat exchanger input heat is obtained according to the heating control model construction method based on tree topology as described in Example 1.

[0108] A5. Input the theoretical boiler output heat into the PWL model of boiler control parameters and boiler output heat to obtain the theoretical boiler control parameters;

[0109] The PWL model of boiler control parameters and boiler output heat is obtained according to the heating control model construction method based on tree topology as described in Example 1;

[0110] The control module is used to adjust the boiler control parameters and heat exchanger control parameters in real time according to the theoretical heat exchanger control parameters and the theoretical boiler control parameters. Example

[0111] An electronic device includes a processor and a memory communicatively connected to the processor and used to store processor-executable instructions, the processor being used to execute the method of Embodiment 1 described above. Example

[0112] A server includes at least one processor and a memory communicatively connected to the processor, the memory storing instructions executable by the at least one processor, the instructions being executed by the processor to cause the at least one processor to perform the method as described in Embodiment 1. Example

[0113] A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method of Embodiment 1.

[0114] Those skilled in the art will recognize that the units and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0115] In the embodiments provided in this application, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the above division of units is merely a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. The above units may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of the present invention according to actual needs.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

[0117] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for constructing a heating prediction model based on tree topology, characterized in that, Includes the following steps: S1. Using the PWL multi-segment linear fitting method, establish PWL models of boiler control parameters and boiler output heat, heat exchanger control parameters and heat exchanger output heat, heat exchanger output heat and heat exchanger input heat, and boiler output heat and heat exchanger input heat using historical heating data. S2. Construct a secondary water supply heat prediction model based on historical heating data, or calculate the theoretical heating heat based on the building's designed heat load; In step S1: Historical boiler heat output is calculated using historical outlet water temperature, historical return water temperature, and historical outlet water flow rate. A PWL model of boiler control parameters and boiler output heat was established using the PWL multi-segment linear fitting method. The historical heat output of the heat exchanger is calculated using the historical heat exchanger output outlet temperature, historical heat exchanger output return temperature, and historical heat exchanger output flow rate. A PWL model of the heat exchanger control parameters and heat output was established using the PWL multi-segment linear fitting method. The historical heat input of the heat exchanger is calculated using the historical heat exchanger input outlet temperature, historical heat exchanger input return temperature, and historical heat exchanger input flow rate. The historical heat output and input of the heat exchanger are used to establish a PWL model of the heat output and input of the heat exchanger by using the PWL multi-segment linear fitting method. The historical boiler output heat and historical heat exchanger input heat were used to establish a PWL model of boiler output heat and heat exchanger input heat by using the PWL multi-segment linear fitting method. In step S2, a secondary water supply heat prediction model is constructed using historical light intensity, historical outdoor temperature, historical set room temperature, historical average room temperature, and historical heat exchanger heat supply.

2. A heating control method based on tree topology, characterized in that, Includes the following steps: A1. Input real-time data into the secondary water supply heat prediction model to obtain the theoretical heat supply, or calculate the theoretical heat supply based on the heat load designed for the building. The secondary water supply heat prediction model is constructed according to the method described in claim 1. A2. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The theoretical heat exchanger control parameters are obtained by using the PWL model of the heat exchanger control parameters and the heat output of the heat exchanger. The heat exchanger control parameters and the PWL model of the heat exchanger output heat are constructed according to the method described in claim 1.

3. The heating control method based on tree topology according to claim 2, characterized in that: It also includes the following steps: A3. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The PWL model is used to calculate the theoretical heat input of the heat exchanger by inputting the heat output of the heat exchanger and the heat input of the heat exchanger. The PWL model of the heat output and heat input of the heat exchanger is constructed according to the method described in claim 1; A4. The theoretical boiler output heat is obtained by inputting the theoretical heat exchanger input heat to the boiler output heat and using the PWL model of the heat exchanger input heat. The PWL model for the boiler output heat and heat exchanger input heat is constructed according to the method described in claim 1. A5. Input the theoretical boiler output heat into the PWL model of boiler control parameters and boiler output heat to obtain the theoretical boiler control parameters; The boiler control parameters and the PWL model of boiler output heat are constructed according to the method described in claim 1; A6. Adjust the boiler control parameters and heat exchanger control parameters in real time according to the theoretical heat exchanger control parameters and the theoretical boiler control parameters.

4. A construction apparatus for a heating prediction model construction method based on tree topology according to claim 1, characterized in that, include: The data acquisition module is used to collect historical heating data. The module is used to build PWL models of boiler control parameters and boiler output heat, heat exchanger control parameters and heat exchanger output heat, heat exchanger output heat and heat exchanger input heat, and boiler output heat and heat exchanger input heat by using the PWL multi-segment linear fitting method to collect historical heating data. A prediction model for secondary water supply heat was constructed based on historical heating data.

5. A heating control device based on tree topology, characterized in that, include: Real-time data acquisition module, used to collect real-time data; The prediction module is used to perform the following steps: A1. Real-time data is input into the secondary water supply heat prediction model to obtain the theoretical heat supply, wherein the secondary water supply heat prediction model is constructed according to the method described in claim 1. A2. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The theoretical heat exchanger control parameters are obtained by using the PWL model of the heat exchanger control parameters and the heat output of the heat exchanger. The heat exchanger control parameters and the PWL model of the heat exchanger output heat are constructed according to the method described in claim 1; A3. The theoretical heat supply is used as the theoretical heat output of the heat exchanger. The PWL model is used to calculate the theoretical heat input of the heat exchanger by inputting the heat output of the heat exchanger and the heat input of the heat exchanger. The PWL model of the heat output and heat input of the heat exchanger is constructed according to the method described in claim 1; A4. The theoretical boiler output heat is obtained by inputting the theoretical heat exchanger input heat to the boiler output heat and using the PWL model of the heat exchanger input heat. The PWL model for the boiler output heat and heat exchanger input heat is constructed according to the method described in claim 1; A5. Input the theoretical boiler output heat into the PWL model of boiler control parameters and boiler output heat to obtain the theoretical boiler control parameters; The boiler control parameters and the PWL model of boiler output heat are constructed according to the method described in claim 1; The control module is used to adjust the boiler control parameters and heat exchanger control parameters in real time according to the theoretical heat exchanger control parameters and the theoretical boiler control parameters.

6. An electronic device, comprising a processor and a memory communicatively connected to the processor and used for storing processor-executable instructions, characterized in that: The processor is used to execute the method described in any one of claims 1-3.

7. A server, characterized in that: The method includes at least one processor and a memory communicatively connected to the processor, the memory storing instructions executable by the at least one processor, the instructions being executed by the processor to cause the at least one processor to perform the method as described in any one of claims 1-3.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements the method described in any one of claims 1-3.

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