Secondary side temperature control method based on intelligent control valve

Abstract

The present invention relates to the technical field of automatic control flow metering, and specifically, to a secondary side temperature control method based on an intelligent control valve. It includes the following steps: collecting the water supply temperature and the return water temperature, calculating the supply and return water temperature difference and the total water supply flow; constructing the intelligent control valve regulation rate equation based on the reaction kinetics control theory, and generating a preliminary opening adjustment signal; using topology optimization control, collecting the temperature difference of each path on the secondary side, calculating the path flow, and dynamically adjusting the water supply distribution of each flow path; using phase switching technology to automatically switch the control mode, using a smoothing function to control the valve change rate, and introducing a latent heat model to eliminate the temperature difference; synthesizing the preliminary opening signal and the topology optimization results to generate a total valve opening control signal. The secondary side temperature control method based on the intelligent control valve combines reaction kinetics control with topology optimization control to achieve dynamic valve adjustment based on the supply and return water temperature difference and real-time distribution of water supply flow in each path.

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 and topology optimization control strategy, it controls the dynamic adjustment of valve opening and adaptive distribution of flow in each path, thus achieving rapid response and system stability under changes in heating demand.

[0003] The existing secondary-side temperature control methods usually find it difficult to achieve 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, it will cause over-adjustment or lag problems 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 may easily lead to uneven temperature and increased system energy consumption.

[0005] To achieve the above object, the present invention aims to provide a secondary side temperature control method based on an intelligent control valve, comprising the following steps:

[0006] 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;

[0007] 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;

[0008] 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;

[0009] 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.

[0010] 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.

[0011] 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:

[0012] S1.1. Collect water supply temperature and return water temperature , and calculate the supply and return water temperature difference :

[0013] ;

[0014] S1.2. Use a flow meter to measure the total water supply flow .

[0015] As a further improvement of the 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;

[0016] 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:

[0017] S2.1. Definition of supply and return water temperature difference As a driving force;

[0018] 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:

[0019] ;

[0020] ;

[0021] 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;

[0022] 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:

[0023] ;

[0024] in, It is the dynamic adjustment rate of the opening of the intelligent control valve; is the exponential factor for regulating the rate;

[0025] Set the critical value of supply and return water temperature difference ,when , The value is 1; when , The value is 2;

[0026] S2.4, Dynamic adjustment rate according to the opening of the intelligent control valve , generate the preliminary opening adjustment signal:

[0027] ;

[0028] in, It is the initial opening adjustment signal; is the current opening of the intelligent control valve; is the time increment.

[0029] As a further improvement of the 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:

[0030] 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;

[0031] S3.2. Calculate the The temperature difference of the supply and return water in each flow path :

[0032] ;

[0033] in, For the The temperature difference between the supply and return water in the flow path;

[0034] S3.3. Calculate the The water flow ratio of the flow paths :

[0035] ;

[0036] in, For the The water supply flow ratio of the flow paths; To sum the sequence number, ;

[0037] S3.4. Calculate the Water flow rate of the flow paths :

[0038] ;

[0039] in, For the The water supply flow rate of the flow path;

[0040] 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 .

[0041] 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 paths , the specific method is as follows:

[0042] ;

[0043] ;

[0044] 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.

[0045] As a further improvement of the technical solution, in S4, the control mode is divided into "fast adjustment state" and "stable adjustment state" according to the value of the supply and return water temperature difference threshold. The specific method is as follows:

[0046] S4.1.1. Set a supply and return water temperature difference threshold , used to distinguish between "fast adjustment state" and "stable adjustment state";

[0047] ;

[0048] 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:

[0049] 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;

[0050] 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.

[0051] As a further improvement of the technical solution, in S4, the control mode is automatically switched by using phase switching technology, the rate of change of the valve opening of the intelligent control valve is controlled by a smoothing function, 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:

[0052] S4.2.1. Use smoothing function to control the rate of change of the intelligent control valve opening:

[0053] Smoothing function:

[0054] ;

[0055] in, is the opening change rate of the intelligent control valve; is the smoothing adjustment coefficient;

[0056] 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:

[0057] Latent heat control model:

[0058] ;

[0059] in, is the additional flow rate for latent heat compensation; is the equivalent heat capacity; is the current water supply flow;

[0060] 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 .

[0061] 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 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:

[0062] ;

[0063] in, The current opening of the intelligent control valve; It is the final valve opening of the intelligent control valve.

[0064] As a further improvement of the 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:

[0065] S5.1, Set The weight of the traffic path is , calculate the The opening contribution of the flow path :

[0066] ;

[0067] in, For the The opening contribution of each flow path;

[0068] S5.2, based on the initial opening adjustment signal and The opening contribution of the flow path , generating the total valve opening control signal ;

[0069] 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 .

[0070] As a further improvement of the technical solution, 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:

[0071] ;

[0072] in, It is the total valve opening control signal;

[0073] 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:

[0074] ;

[0075] Among them, The valve opening of the intelligent control valve at the next time increment.

[0076] Compared with the prior art, the present invention has the following beneficial effects:

[0077] 1. In the 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 change can be quickly responded to. The heating system can be flexibly controlled under different temperature difference requirements to ensure that the system remains in the optimal heating state.

[0078] 2. In the secondary side temperature control method based on the intelligent control valve, the temperature difference demand of each path is monitored in real time and the flow distribution is adjusted through topology optimization control, so as to realize the adaptive optimization distribution of 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

[0079] Figure 1 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0080] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0081] 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:

[0082] 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;

[0083] 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:

[0084] S1.1. Collect water supply temperature and return water temperature , and calculate the supply and return water temperature difference :

[0085] ;

[0086] S1.2. Use a flow meter to measure the total water supply flow .

[0087] In this embodiment, the supply and return water temperature difference is obtained by measuring and calculating Reflects the temperature demand of the current 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 with a flow meter can ensure the adequacy of water supply.

[0088] 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;

[0089] 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;

[0090] 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 the 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:

[0091] S2.1. Definition of supply and return water temperature difference As a driving force;

[0092] 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:

[0093] ;

[0094] ;

[0095] 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;

[0096] 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 to different temperature conditions; gas constant for ;

[0097] 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:

[0098] ;

[0099] in, It is the dynamic adjustment rate of the opening of the intelligent control valve; is the exponential factor for regulating the rate;

[0100] Set the critical value of supply and return water temperature difference ,when , The value is 1; when , The value is 2;

[0101] S2.4, Dynamic adjustment rate according to the opening of the intelligent control valve , generate the preliminary opening adjustment signal:

[0102] ;

[0103] in, It is the initial opening adjustment signal; is the current opening of the intelligent control valve; is the time increment.

[0104] In this embodiment, the reaction kinetic control theory is a theoretical method derived from the chemical reaction rate, which is used to describe the dynamic response rate of the system under the action of different driving forces, and quantifies the influence of the driving force on the system regulation rate based on concepts such as reaction rate constant and reaction order;

[0105] 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 temperature control and enabling the system to automatically adjust the valve opening according to changes in temperature difference.

[0106] 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;

[0107] 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 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:

[0108] 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;

[0109] S3.2. Calculate the The temperature difference of the supply and return water in each flow path :

[0110] ;

[0111] in, For the The temperature difference between the supply and return water in the flow path;

[0112] S3.3. Calculate the The water flow ratio of the flow paths :

[0113] ;

[0114] in, For the The water supply flow ratio of the flow paths; To sum the sequence number, ;

[0115] S3.4. Calculate the Water flow rate of the flow paths :

[0116] ;

[0117] in, For the The water supply flow rate of the flow path;

[0118] 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 .

[0119] In this embodiment, the topology optimization control concept is an optimization method for dynamically adjusting resource allocation according to system requirements and constraints, by optimizing the path or network structure in real time; it is used to dynamically allocate the water supply flow on the secondary side based on the temperature difference demand of the path, so that each flow path can obtain an adapted water supply flow according to its temperature difference, and realize accurate control and dynamic balance of the heating system; it realizes balancing the temperature difference between the paths, improving the response speed of the heating system, reducing energy waste, and ensuring that the system can adaptively optimize the flow distribution according to the real-time heating demand;

[0120] 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 difference of each path on the secondary side, the system can identify the difference in heat demand of different paths, which is the basis of topology optimization; and use topology optimization control 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 result of flow of each path.

[0121] 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 paths , the specific method is as follows:

[0122] ;

[0123] ;

[0124] 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.

[0125] In this embodiment, the flow rate adjustment coefficient For control parameters, they are set according to the system design needs and are selected based on the characteristics of the path and the required response speed;

[0126] Introducing flow regulation coefficient , used to adjust the response speed of each path to temperature difference 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. 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.

[0127] 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.

[0128] In this embodiment S4, the control mode is divided into "fast adjustment state" and "stable adjustment state" according to the value of the supply and return water temperature difference threshold. The specific method is as follows:

[0129] S4.1.1. Set a supply and return water temperature difference threshold , used to distinguish between "fast adjustment state" and "stable adjustment state";

[0130] ;

[0131] 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:

[0132] 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;

[0133] 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.

[0134] In this embodiment, the control mode is switched between the "fast adjustment state" and the "stable regulation state" using phase switching technology, ensuring that the system can respond to temperature difference changes in real time.

[0135] In this embodiment S4, the phase switching technology is used to automatically switch the control mode, the smoothing function is used to control the valve opening change rate of the intelligent control valve, 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:

[0136] S4.2.1. Use smoothing function to control the rate of change of the intelligent control valve opening:

[0137] Smoothing function:

[0138] ;

[0139] in, is the opening change rate of the intelligent control valve; is the smoothing adjustment coefficient;

[0140] In this embodiment, the smoothing adjustment coefficient The specific value of can be determined through experimental data or system parameter debugging;

[0141] 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:

[0142] Latent heat control model:

[0143] ;

[0144] in, is the additional flow rate for latent heat compensation; is the equivalent heat capacity; is the current water supply flow;

[0145] 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 .

[0146] In S4.2.3 of this embodiment, 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:

[0147] ;

[0148] in, The current opening of the intelligent control valve; It is the final valve opening of the intelligent control valve.

[0149] In this embodiment, the latent heat control model acts independently on the water supply flow rate, speeding up the elimination of the temperature difference without directly affecting the rate of change of the valve opening, but indirectly affecting the subsequent valve opening adjustment;

[0150] 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, preventing the opening degree from fluctuating violently when the mode is switched. 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 function 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.

[0151] 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;

[0152] 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:

[0153] S5.1, Set The weight of the traffic path is , calculate the The opening contribution of the flow path :

[0154] ;

[0155] in, For the The opening contribution of each flow path;

[0156] S5.2, based on the initial opening adjustment signal and The opening contribution of the flow path , generating the total valve opening control signal ;

[0157] 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 .

[0158] In this embodiment 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:

[0159] ;

[0160] in, It is the total valve opening control signal;

[0161] 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 for the next time increment , the specific method is as follows:

[0162] ;

[0163] Among them, The valve opening of the intelligent control valve at the next time increment.

[0164] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

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. S4.2.

1. Use a smoothing function to control the rate of change of the intelligent control valve opening; 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 △T temp ; 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 , the specific method is as follows: ； in, The current opening of the intelligent control valve; is the final intelligent control valve opening; 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: The smoothing function in S4 is: ； in, is the opening change rate of the intelligent control valve; is the smoothing adjustment coefficient.

8. 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 the flow path, For the The water supply flow rate of the 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 .

9. The secondary side temperature control method based on the intelligent control valve according to claim 8 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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