Secondary side temperature supply control method based on intelligent control valve

Abstract

The invention relates to the technical field of automatic control flow metering, in particular to a secondary side temperature supply control method based on an intelligent control valve. The method comprises the following steps: collecting water supply temperature and water return temperature, and calculating water supply and return temperature difference and total water supply flow; constructing an intelligent control valve regulation rate equation based on a reaction kinetics control theory, and generating a preliminary opening degree regulation signal; collecting the temperature difference of each path of the secondary side by utilizing topological optimization control, calculating the path flow, and dynamically adjusting the water supply distribution of each flow path; automatically switching a control mode by adopting a phase state switching technology, controlling a valve change rate by using a smooth function, and introducing a latent heat model to eliminate a temperature difference; and synthesizing the initial opening signal and the topological optimization result to generate a main valve opening control signal. According to the secondary side temperature supply control method based on the intelligent control valve, through combination of reaction kinetics control and topological optimization control, valve dynamic adjustment based on the temperature difference between supply water and return water and real-time distribution of water supply flow of all paths are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic control flow metering, and in particular to a secondary side temperature supply control method based on an intelligent control valve. Background Art

[0002] The secondary-side temperature control method based on the intelligent control valve aims to achieve precise temperature control and dynamic balance of the heating system. By combining reaction kinetics control theory with topology optimization control strategy, it controls the dynamic adjustment of valve opening and adaptive distribution of flow in each path, achieving rapid response and system stability under changing heating demand.

[0003] Existing secondary-side temperature control methods usually have difficulty achieving accurate flow distribution under the temperature difference requirements of different paths. In addition, since the valve adjustment rate is difficult to respond to the dynamic changes of the temperature difference in real time, over-adjustment or lag problems may occur when the temperature difference fluctuates. The response speed of the heating system is reduced, which can easily lead to uneven temperature and increased system energy consumption. Therefore, a secondary-side temperature control method based on an intelligent control valve is provided. Summary of the Invention

[0004] The purpose of the present invention is to provide a secondary side temperature control method based on an intelligent control valve, so as to solve the problem raised in the above background technology that the valve adjustment rate is difficult to respond to the dynamic changes of the temperature difference in real time, which will lead to over-adjustment or lag when the temperature difference fluctuates, and the response speed of the heating system is reduced, which easily leads to uneven temperature and increased system energy consumption.

[0005] To achieve the above object, the present invention provides a secondary side temperature control method based on an intelligent control valve, comprising the following steps: S1. Collect the current supply water temperature and return water temperature, and calculate the supply and return water temperature difference and the total water supply flow; S2. Using reaction kinetics control theory, taking the supply and return water temperature difference as the driving force, constructing the dynamic adjustment rate equation of the intelligent control valve, and generating the preliminary opening adjustment signal; S3. Using the topology optimization control concept, the supply and return water temperature differences of each path on the secondary side are collected, the flow rate of each path on the secondary side is calculated, and the flow control equation is used to dynamically adjust the water supply flow of each flow path; S4. Divide the control mode into a fast adjustment state and a stable adjustment state according to the supply and return water temperature difference threshold. Use phase switching technology to automatically switch the control mode. Use a smoothing function to control the valve opening change rate, optimize the control mode switching, and introduce a latent heat control model to eliminate the supply and return water temperature difference. S5. Based on the preliminary opening adjustment signal and the topology optimization result, a total valve opening control signal is generated to adjust the valve opening in real time.

[0006] In S1, the current supply water temperature and return water temperature are collected, and the supply and return water temperature difference and the total supply water flow are calculated. The specific method is as follows: S1.1. Collect water supply temperature and return water temperature , and calculate the supply and return water temperature difference : ; S1.2. Use a flow meter to measure the total water supply flow .

[0007] As a further improvement of this technical solution, the reaction kinetics control theory is used to quantitatively control the response rate of the intelligent control valve according to the supply and return water temperature difference to achieve valve opening control; In S2, the reaction kinetics control theory is adopted, the supply and return water temperature difference is used as the driving force, and the dynamic adjustment rate equation of the intelligent control valve is constructed to generate the preliminary opening adjustment signal. The specific method steps are as follows: S2.1. Define the supply and return water temperature difference as a driving force; S2.2. Calculate and introduce the temperature difference reaction rate constant , the temperature difference reaction rate constant is used to quantify the effect of temperature difference on valve opening adjustment: ; ; in, is the frequency factor of the reaction rate; is the activation energy; is the gas constant; is the average value of supply and return water temperature; S2.3, based on temperature difference reaction rate constant Supply and return water temperature difference Construct the dynamic regulation rate equation of the intelligent control valve: ; in, It is the dynamic adjustment rate of the opening of the intelligent control valve; is the exponential factor for regulating the rate; Set the critical value of supply and return water temperature difference ,when , The value is 1; when , The value is 2; S2.4, Dynamic adjustment rate according to the opening of the intelligent control valve , generate the preliminary opening adjustment signal: ; in, It is the initial opening adjustment signal; is the current opening of the intelligent control valve; is the time increment.

[0008] As a further improvement of this technical solution, in S3, the topology optimization control concept is adopted to collect the sub-supply and return water temperature differences of each path on the secondary side, calculate the flow of each path on the secondary side, and dynamically adjust the water supply flow of each flow path using the flow control equation. The specific method steps are as follows: S3.1. Divide the secondary side into multiple flow paths. The water supply temperature of the flow path is , return water temperature is ,in is the path number, , is the total number of flow paths; S3.2, calculate the The temperature difference of the supply and return water in each flow path : ; in, For the The temperature difference between the supply and return water in the flow path; S3.3, calculate the Water supply flow ratio of the flow paths : ; in, For the The water supply flow ratio of the flow paths; To sum the sequence number, ; S3.4. Calculate the Water flow rate of the flow path : ; in, For the The water supply flow rate of the flow path; S3.5, introduce flow adjustment coefficient , establish the flow control equation to dynamically adjust the water supply flow of each path flow, and update the water supply flow of each path flow in real time according to the flow change rate, and calculate the next time increment No. Water flow rate of the flow path .

[0009] As a further improvement of this technical solution, in S3.5, a flow adjustment coefficient is introduced , establish the flow control equation to dynamically adjust the water supply flow of each path flow, and update the water supply flow of each path flow in real time according to the flow change rate, and calculate the next time increment No. Water flow rate of the flow path , the specific method is as follows: ; ; in, For the The water supply flow rate change rate of the flow path; To set the target temperature difference; is the flow regulation coefficient; For the next time increment No. The water supply flow rate of the flow path.

[0010] As a further improvement of the present technical solution, in S4, the control mode is divided into "fast adjustment state" and "stable adjustment state" according to the size of the supply and return water temperature difference threshold. The specific method is as follows: S4.1.1. Set a supply and return water temperature difference threshold , used to distinguish between "rapid adjustment state" and "stable adjustment state"; ; S4.1.2. The control mode is divided into "fast adjustment state" and "stable adjustment state". The specific definitions of "fast adjustment state" and "stable adjustment state" are as follows: Fast adjustment state: The current supply and return water temperature difference is greater than the supply and return water temperature difference threshold, and the intelligent control valve enters the fast adjustment state and needs to respond to the heating demand immediately; Stable regulation state: The current supply and return water temperature difference is less than or equal to the supply and return water temperature difference threshold, the intelligent control valve enters the stable regulation state, and the current heating demand changes little.

[0011] As a further improvement of this technical solution, in S4, the phase switching technology is used to automatically switch the control mode, a smooth function is used to control the valve opening change rate of the intelligent control valve, the control mode switching is optimized, and a latent heat control model is introduced to eliminate the supply and return water temperature difference. The specific method steps are as follows: S4.2.1. Use smoothing function to control the rate of change of the intelligent control valve opening: Smoothing function: ; in, is the rate of change of the intelligent control valve opening; is the smoothing adjustment coefficient; S4.2.2. When the control mode is in the "fast adjustment state", the latent heat control model is introduced to eliminate the supply and return water temperature difference: Latent heat control model: ; in, is the additional flow rate for latent heat compensation; is the equivalent heat capacity; is the current water supply flow; S4.2.3. Results of eliminating the supply and return water temperature difference based on the latent heat control model and the current intelligent control valve opening , and the final intelligent control valve opening is determined by the smoothing function .

[0012] As a further improvement of this technical solution, in S4.2.3, the result of eliminating the supply and return water temperature difference based on the latent heat control model and the current intelligent control valve opening , and the final intelligent control valve opening is determined by the smoothing function , the specific method is as follows: ; in, The current intelligent control valve opening; is the final intelligent control valve opening.

[0013] As a further improvement of the present technical solution, in S5, based on the preliminary opening adjustment signal and the topology optimization result, a total valve opening control signal is generated to adjust the valve opening in real time. The specific method steps are as follows: S5.1、Set The weight of the traffic path is , calculate the The opening contribution of the flow path : ; in, For the The opening contribution of each flow path; S5.2, based on the preliminary opening adjustment signal Hedi The opening contribution of the flow path , generate the total valve opening control signal ; S5.3, based on the total opening control signal And the current intelligent control valve opening , calculate the valve opening of the intelligent control valve at the next time increment .

[0014] As a further improvement of this technical solution, in S5.2, based on the preliminary opening adjustment signal Hedi The opening contribution of the flow path , generate the total valve opening control signal , the specific method is as follows: ; in, is the total valve opening control signal; In S5.3, based on the total opening control signal And the current intelligent control valve opening , calculate the valve opening of the intelligent control valve at the next time increment , the specific method is as follows: ; Among them, The valve opening of the intelligent control valve at the next time increment.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. In this secondary-side temperature control method based on the intelligent control valve, the supply and return water temperature difference is used as the driving force based on the reaction kinetics control theory. The valve opening adjustment rate can be dynamically calculated, the valve opening can be accurately adjusted, and the temperature difference can be quickly responded to changes in the temperature difference. The heating system can be flexibly controlled under different temperature difference requirements to ensure that the system remains in the optimal heating state.

[0016] 2. In the secondary-side temperature control method based on the intelligent control valve, the temperature difference requirements of each path are monitored in real time and the flow distribution is adjusted through topology optimization control, so as to realize the adaptive optimization distribution of the water supply flow, ensure that the temperature demand of each path is accurately met, avoid over-adjustment and lag, and improve the energy-saving effect and response efficiency of the heating system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0018] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] See also Figure 1 As shown, this embodiment provides a secondary side temperature control method based on an intelligent control valve, comprising the following steps: S1. Collect the current supply water temperature and return water temperature, and calculate the supply and return water temperature difference and the total water supply flow; In this embodiment S1, the current supply water temperature and return water temperature are collected, and the supply and return water temperature difference and the total supply water flow are calculated. The specific method is as follows: S1.1. Collect water supply temperature and return water temperature , and calculate the supply and return water temperature difference : ; S1.2. Use a flow meter to measure the total water supply flow .

[0020] In this embodiment, the supply and return water temperature difference is obtained by measurement and calculation. Reflects the current temperature demand of the heating system; the size of the supply and return water temperature difference determines the direction and amplitude of subsequent valve adjustment; the total water supply flow Indicates the total amount of water entering the secondary system. Measuring it with a flow meter can ensure the adequacy of water supply.

[0021] S2. Using reaction kinetics control theory, taking the supply and return water temperature difference as the driving force, constructing the dynamic adjustment rate equation of the intelligent control valve, and generating the preliminary opening adjustment signal; The reaction kinetics control theory is used to quantitatively control the response rate of the intelligent control valve according to the supply and return water temperature difference, thereby realizing valve opening control; In this embodiment S2, the reaction kinetics control theory is adopted, the supply and return water temperature difference is used as the driving force, and a dynamic adjustment rate equation of the intelligent control valve is constructed to generate a preliminary opening adjustment signal. The specific method steps are as follows: S2.1. Define the supply and return water temperature difference as a driving force; S2.2. Calculate and introduce the temperature difference reaction rate constant , the temperature difference reaction rate constant is used to quantify the effect of temperature difference on valve opening adjustment: ; ; in, is the frequency factor of the reaction rate; is the activation energy; is the gas constant; is the average value of supply and return water temperature; In this embodiment, the frequency factor of the reaction rate is It is necessary to obtain the valve response rate under a series of different temperature differences through experiments and obtain the specific value through fitting; activation energy Determined by the system's response under different temperature conditions; gas constant for ; S2.3, based on temperature difference reaction rate constant Supply and return water temperature difference Construct the dynamic regulation rate equation of the intelligent control valve: ; in, It is the dynamic adjustment rate of the opening of the intelligent control valve; is the exponential factor for regulating the rate; Set the critical value of supply and return water temperature difference ,when , The value is 1; when , The value is 2; S2.4, Dynamic adjustment rate according to the opening of the intelligent control valve , generate the preliminary opening adjustment signal: ; in, It is the initial opening adjustment signal; is the current opening of the intelligent control valve; is the time increment.

[0022] In this embodiment, reaction kinetics control theory is a theoretical method derived from chemical reaction rates, which is used to describe the dynamic response rate of a system under different driving forces. It quantifies the impact of the driving force on the system regulation rate based on concepts such as reaction rate constant and reaction order. The dynamic regulation rate equation of the intelligent control valve relates the size of the temperature difference to the valve regulation rate, realizing a dynamic response to the temperature control and enabling the system to automatically adjust the valve opening according to the change of temperature difference.

[0023] S3. Using the topology optimization control concept, the supply and return water temperature differences of each path on the secondary side are collected, the flow rate of each path on the secondary side is calculated, and the flow control equation is used to dynamically adjust the water supply flow of each flow path; In this embodiment S3, the topology optimization control concept is adopted to collect the sub-supply and return water temperature differences of each path on the secondary side, calculate the flow rate of each path on the secondary side, and dynamically adjust the water supply flow rate of each flow path using the flow control equation. The specific method steps are as follows: S3.1. Divide the secondary side into multiple flow paths. The water supply temperature of the flow path is , return water temperature is ,in is the path number, , is the total number of flow paths; S3.2, calculate the The temperature difference of the supply and return water in each flow path : ; in, For the The temperature difference between the supply and return water in the flow path; S3.3, calculate the Water supply flow ratio of the flow paths : ; in, For the The water supply flow ratio of the flow paths; To sum the sequence number, ; S3.4. Calculate the Water flow rate of the flow path : ; in, For the The water supply flow rate of the flow path; S3.5, introduce flow adjustment coefficient , establish the flow control equation to dynamically adjust the water supply flow of each path flow, and update the water supply flow of each path flow in real time according to the flow change rate, and calculate the next time increment No. Water flow rate of the flow path .

[0024] In this embodiment, the topology optimization control concept is an optimization method that dynamically adjusts resource allocation based on system requirements and constraints. It optimizes paths or network structures in real time. It is used to dynamically allocate secondary water supply flow based on the temperature difference requirements of the paths, so that each flow path can obtain an adaptive water supply flow according to its temperature difference, achieving precise control and dynamic balance of the heating system. It achieves balanced temperature differences between paths, improves the response speed of the heating system, reduces energy waste, and ensures that the system can adaptively optimize flow distribution according to real-time heating needs. In this embodiment, the system is divided into multiple flow paths, and the temperature difference of each path is calculated. By obtaining the sub-supply and return water temperature differences of each path on the secondary side, the system can identify the differences in heat demand of different paths, which is the basis of topology optimization. Topology optimization control is used to optimize flow distribution through temperature difference, so that the system automatically adjusts the distribution ratio of water supply flow according to real-time heat demand, and finally outputs the real-time distribution results of flow in each path.

[0025] In this embodiment S3.5, the flow adjustment coefficient is introduced , establish the flow control equation to dynamically adjust the water supply flow of each path flow, and update the water supply flow of each path flow in real time according to the flow change rate, and calculate the next time increment No. Water flow rate of the flow path , the specific method is as follows: ; ; in, For the The water supply flow rate change rate of the flow path; To set the target temperature difference; is the flow regulation coefficient; For the next time increment No. The water supply flow rate of the flow path.

[0026] In this embodiment, the flow adjustment coefficient For control parameters, they are set according to system design needs and are selected based on the characteristics of the path and the required response speed; Introducing flow regulation coefficient , used to adjust the response speed of each path to temperature changes; flow adjustment coefficient Different paths can have different flow regulation intensities to meet the specific needs of different paths. In the control process, if the flow regulation rate of all paths is the same, it is easy to over-regulate or lag when the temperature difference changes. In this case, the flow regulation coefficient is introduced. The flow response speed can then be flexibly adjusted according to the specific conditions of the path to avoid excessive or untimely adjustment.

[0027] S4. Divide the control mode into a fast adjustment state and a stable adjustment state according to the supply and return water temperature difference threshold. Use phase switching technology to automatically switch the control mode. Use a smoothing function to control the valve opening change rate, optimize the control mode switching, and introduce a latent heat control model to eliminate the supply and return water temperature difference. In this embodiment S4, the control mode is divided into "fast adjustment state" and "stable adjustment state" according to the size of the supply and return water temperature difference threshold. The specific method is as follows: S4.1.1. Set a supply and return water temperature difference threshold , used to distinguish between "rapid adjustment state" and "stable adjustment state"; ; S4.1.2. The control mode is divided into "fast adjustment state" and "stable adjustment state". The specific definitions of "fast adjustment state" and "stable adjustment state" are as follows: Fast adjustment state: The current supply and return water temperature difference is greater than the supply and return water temperature difference threshold, and the intelligent control valve enters the fast adjustment state and needs to respond to the heating demand immediately; Stable regulation state: The current supply and return water temperature difference is less than or equal to the supply and return water temperature difference threshold, the intelligent control valve enters the stable regulation state, and the current heating demand changes little.

[0028] In this embodiment, the conversion of the control mode between the "fast adjustment state" and the "stable regulation state" is achieved using phase switching technology, ensuring that the system can respond to temperature difference changes in real time.

[0029] In this embodiment S4, the phase switching technology is used to automatically switch the control mode, a smooth function is used to control the valve opening change rate of the intelligent control valve, the control mode switching is optimized, and a latent heat control model is introduced to eliminate the supply and return water temperature difference. The specific method steps are as follows: S4.2.1. Use smoothing function to control the rate of change of the intelligent control valve opening: Smoothing function: ; in, is the rate of change of the intelligent control valve opening; is the smoothing adjustment coefficient; In this embodiment, the smoothing adjustment coefficient The specific value of can be determined through experimental data or system parameter debugging; S4.2.2. When the control mode is in the "fast adjustment state", the latent heat control model is introduced to eliminate the supply and return water temperature difference: Latent heat control model: ; in, is the additional flow rate for latent heat compensation; is the equivalent heat capacity; is the current water supply flow; S4.2.3. Results of eliminating the supply and return water temperature difference based on the latent heat control model and the current intelligent control valve opening , and the final intelligent control valve opening is determined by the smoothing function .

[0030] In this embodiment S4.2.3, the result of eliminating the supply and return water temperature difference based on the latent heat control model and the current valve opening of the intelligent control valve , and the final intelligent control valve opening is determined by the smoothing function , the specific method is as follows: ; in, The current intelligent control valve opening; is the final intelligent control valve opening.

[0031] In this embodiment, the latent heat control model acts independently on the water supply flow rate, accelerating the elimination of temperature differences without directly affecting the rate of change of valve opening, but indirectly affecting subsequent valve opening adjustments; In this embodiment, the final intelligent control valve opening Through smooth function control, the opening degree of the system is more stable during the switching process from the fast adjustment state to the stable adjustment state, thus preventing the opening degree from fluctuating violently when the mode is switched. Finally, the opening degree of the intelligent control valve is It is used to achieve a smooth transition during the mode switching process, that is, when the system switches from a fast adjustment state to a stable adjustment state, or vice versa, an instantaneous opening is generated by a smoothing function and a latent heat control model; its role is to ensure that the valve opening can be adjusted smoothly during the mode switching, avoiding sudden opening changes that cause system instability, and does not participate in the subsequent calculation of the real-time adjustment of the valve opening.

[0032] S5. Based on the preliminary opening adjustment signal and the topology optimization result, a total valve opening control signal is generated to adjust the valve opening in real time; In this embodiment S5, based on the preliminary opening adjustment signal and the topology optimization result, a total valve opening control signal is generated to adjust the valve opening in real time. The specific method steps are as follows: S5.1、Set The weight of the traffic path is , calculate the The opening contribution of the flow path : ; in, For the The opening contribution of each flow path; S5.2, based on the preliminary opening adjustment signal Hedi The opening contribution of the flow path , generate the total valve opening control signal ; S5.3, based on the total opening control signal And the current intelligent control valve opening , calculate the valve opening of the intelligent control valve at the next time increment .

[0033] In this embodiment S5.2, based on the preliminary opening adjustment signal Hedi The opening contribution of the flow path , generate the total valve opening control signal , the specific method is as follows: ; in, is the total valve opening control signal; In this embodiment S5.3, based on the total opening control signal And the current intelligent control valve opening , calculate the valve opening of the intelligent control valve at the next time increment , the specific method is as follows: ; Among them, The valve opening of the intelligent control valve at the next time increment.

[0034] The basic principles, main features, and advantages of the present invention are shown and described above. It should be understood by those skilled in the art that the present invention is not limited to the above-described embodiments. The above-described embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention, and such changes and modifications fall within the scope of the invention claimed.

Claims

1. A secondary side temperature control method based on an intelligent control valve, characterized in that: The following steps are involved: S1. Collect the current supply water temperature and return water temperature, and calculate the supply and return water temperature difference and the total water supply flow; S2. Adopting the reaction kinetics control theory, taking the supply and return water temperature difference as the driving force, constructing the dynamic adjustment rate equation of the intelligent control valve, and generating the preliminary opening adjustment signal; S3, adopt the topology optimization control idea, collect the sub-supply and return water temperature difference of each path on the secondary side, calculate the flow of each path on the secondary side, and use the flow control equation to dynamically adjust the water supply flow of each flow path; S4. According to the supply and return water temperature difference threshold, the control mode is divided into a fast adjustment state and a stable adjustment state. The phase switching technology is used to automatically switch the control mode. The smoothing function is used to control the valve opening change rate, the control mode switching is optimized, and the latent heat control model is introduced to eliminate the supply and return water temperature difference. S5. Based on the preliminary opening adjustment signal and the topology optimization result, a total valve opening control signal is generated to adjust the valve opening in real time.

2. The secondary side temperature control method based on the intelligent control valve according to claim 1 is characterized in that: In S1, the current supply water temperature and return water temperature are collected, and the supply and return water temperature difference and the total supply water flow are calculated. The specific method is as follows: S1.

1. Collect water supply temperature and return water temperature , and calculate the supply and return water temperature difference : ； S1.

2. Use a flow meter to measure the total water supply flow .

3. The secondary side temperature control method based on the intelligent control valve according to claim 1 is characterized in that: The reaction kinetics control theory is used to quantitatively control the response rate of the intelligent control valve according to the supply and return water temperature difference to achieve valve opening control; In S2, the reaction kinetics control theory is adopted, the supply and return water temperature difference is used as the driving force, the dynamic adjustment rate equation of the intelligent control valve is constructed, and the preliminary opening adjustment signal is generated. The specific method steps are as follows: S2.

1. Definition of supply and return water temperature difference As a driving force; S2.

2. Calculate and introduce temperature difference reaction rate constant , the temperature difference reaction rate constant is used to quantify the effect of temperature difference on valve opening adjustment: ； ； in, is the frequency factor of the reaction rate; is the activation energy; is the gas constant; is the average value of supply and return water temperature; S2.3, based on temperature difference reaction rate constant Supply and return water temperature difference Construct the dynamic regulation rate equation of the intelligent control valve: ； in, It is the dynamic adjustment rate of the opening of the intelligent control valve; is the exponential factor for regulating the rate; Set the critical value of supply and return water temperature difference ,when , The value is 1; when , The value is 2; S2.4, Dynamic adjustment rate according to the opening of the intelligent control valve , generate the preliminary opening adjustment signal: ； in, It is the initial opening adjustment signal; is the current opening of the intelligent control valve; is the time increment.

4. The secondary side temperature control method based on the intelligent control valve according to claim 1 is characterized in that: In S3, the topology optimization control concept is adopted to collect the sub-supply and return water temperature differences of each path on the secondary side, calculate the flow of each path on the secondary side, and dynamically adjust the water supply flow of each flow path using the flow control equation. The specific method steps are as follows: S3.

1. Divide the secondary side into multiple flow paths. The water supply temperature of the flow path is , return water temperature is ,in is the path number, , is the total flow path number; S3.

2. Calculate the The temperature difference of the supply and return water in each flow path : ； in, For the The temperature difference between the supply and return water in the flow path; S3.

3. Calculate the The water flow ratio of the flow paths : ； in, For the The water supply flow ratio of the flow paths; To sum the sequence number, ; S3.

4. Calculate the Water flow rate of the flow paths : ； in, For the The water supply flow rate of the flow path; S3.5, Introduce flow adjustment coefficient , establish the flow control equation to dynamically adjust the water supply flow of each path flow, and update the water supply flow of each path flow in real time according to the flow change rate, and calculate the next time increment No. Water flow rate of the flow paths .

5. The secondary side temperature control method based on the intelligent control valve according to claim 4 is characterized in that: In S3.5, the flow adjustment coefficient is introduced , establish the flow control equation to dynamically adjust the water supply flow of each path flow, and update the water supply flow of each path flow in real time according to the flow change rate, and calculate the next time increment No. Water flow rate of the flow paths , the specific method is as follows: ； ； in, For the The water supply flow rate change rate of the flow path; To set the target temperature difference; is the flow regulation coefficient; For the next time increment No. The water supply flow rate of the flow path.

6. The secondary side temperature control method based on the intelligent control valve according to claim 1 is characterized in that: In S4, the control mode is divided into "fast adjustment state" and "stable adjustment state" according to the supply and return water temperature difference threshold value. The specific method is as follows: S4.1.

1. Set a supply and return water temperature difference threshold , used to distinguish between "fast adjustment state" and "stable adjustment state"; ； S4.1.

2. The control mode is divided into "fast adjustment state" and "stable adjustment state". The specific definitions of "fast adjustment state" and "stable adjustment state" are as follows: Fast adjustment state: The current supply and return water temperature difference is greater than the supply and return water temperature difference threshold, and the intelligent control valve enters the fast adjustment state and needs to respond to the heating demand immediately; Stable regulation state: The current supply and return water temperature difference is less than or equal to the supply and return water temperature difference threshold, the intelligent control valve enters a stable regulation state, and the current heating demand changes little.

7. The secondary side temperature control method based on the intelligent control valve according to claim 6 is characterized in that: In S4, the phase switching technology is used to automatically switch the control mode, the smoothing function is used to control the rate of change of the intelligent control valve opening, the control mode switching is optimized, and the latent heat control model is introduced to eliminate the supply and return water temperature difference. The specific method steps are as follows: S4.2.

1. Use smoothing function to control the rate of change of the intelligent control valve opening: Smoothing function: ； in, is the opening change rate of the intelligent control valve; is the smoothing adjustment coefficient; S4.2.2, when the control mode is in "fast adjustment state", the latent heat control model is introduced to eliminate the supply and return water temperature difference: Latent heat control model: ； in, is the additional flow rate for latent heat compensation; is the equivalent heat capacity; is the current water supply flow; S4.2.

3. Results of eliminating the supply and return water temperature difference based on the latent heat control model and the current intelligent control valve opening , and the final intelligent control valve opening is determined by the smoothing function .

8. The secondary side temperature control method based on the intelligent control valve according to claim 7 is characterized in that: In S4.2.3, the result of eliminating the supply and return water temperature difference based on the latent heat control model and the current valve opening of the intelligent control valve , and the final intelligent control valve opening is determined by the smoothing function , the specific method is as follows: ； in, The current opening of the intelligent control valve; It is the final valve opening of the intelligent control valve.

9. The secondary side temperature control method based on the intelligent control valve according to claim 1 is characterized in that: In S5, based on the preliminary opening adjustment signal and the topology optimization result, a total valve opening control signal is generated to adjust the valve opening in real time. The specific method steps are as follows: S5.1, Set The weight of the traffic path is , calculate the The opening contribution of the flow path : ； in, For the The opening contribution of each flow path; S5.2, based on the initial opening adjustment signal and The opening contribution of the flow path , generating the total valve opening control signal ; S5.3, based on the total opening control signal And the current intelligent control valve opening , calculate the valve opening of the intelligent control valve for the next time increment .

10. The secondary side temperature control method based on the intelligent control valve according to claim 9 is characterized in that: In S5.2, based on the preliminary opening adjustment signal and The opening contribution of the flow path , generating the total valve opening control signal , the specific method is as follows: ； in, It is the total valve opening control signal; In S5.3, based on the total opening control signal And the current intelligent control valve opening , calculate the valve opening of the intelligent control valve for the next time increment , the specific method is as follows: ； Among them, The valve opening of the intelligent control valve at the next time increment.

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