Dynamic tracking method for secondary water supply temperature of heat exchange station

Abstract

The invention relates to the technical field of heat exchange station control systems, in particular to a dynamic tracking method for the secondary water supply temperature of a heat exchange station, and the method comprises the steps: obtaining outdoor temperature data which comprises the current outdoor temperature and the change value of the outdoor temperature in a preset time period; the obtained change value of the outdoor temperature in the predicted time period is compared with a preset threshold value, a comparison result is determined, and a control strategy of the heat exchange station is determined according to the comparison result; according to the control strategy, if the comparison result meets the first condition, a fuzzy PID controller based on the primary network water supply flow is constructed; if the comparison result meets a second condition, constructing a fuzzy PID controller based on the secondary network water supply temperature; and based on the determined control strategy of the heat exchange station, the opening degree of a primary network electric valve is adjusted, and the secondary network water supply temperature is dynamically adjusted. The problems that an existing PID controller cannot comprehensively consider the time-varying property and the large hysteresis of a controlled object and cannot dynamically adjust the secondary water supply temperature of the heat exchange station are solved.

Description

Technical Field

[0001] The invention relates to the technical field of heat exchange station control systems, and in particular to a method for dynamically tracking the secondary water supply temperature of a heat exchange station. Background Art

[0002] In the past, the tracking method of the water supply temperature in the secondary pipe network of the heat exchange station mostly used the traditional PID controller, which compared the set value of the water supply temperature of the secondary pipe network of the heat exchange station with the actual measured temperature feedback value. The traditional PID controller outputs the opening of the primary side electric valve to adjust the primary side heat supply to achieve the set value of the water supply temperature of the secondary pipe network. This method cannot comprehensively consider the time-varying and large hysteresis of the controlled object, and it is difficult to establish an accurate mathematical model. The dynamic tracking effect of the conventional PID control algorithm is not ideal.

[0003] Therefore, the present invention provides a method for dynamically tracking the secondary water supply temperature of a heat exchange station to solve the above-mentioned problem. Summary of the invention

[0004] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a method for dynamically tracking the secondary water supply temperature of a heat exchange station, which solves the problem that the dynamic tracking effect of the existing PID control algorithm is not ideal.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: a method for dynamically tracking the secondary water supply temperature of a heat exchange station, the method comprising the following steps:

[0006] S100, obtaining outdoor temperature data, wherein the outdoor temperature data includes a current outdoor temperature and a change value of the outdoor temperature within a preset time period;

[0007] S200, comparing the obtained change value of the outdoor temperature within the estimated time period with a preset threshold value, determining a comparison result, and determining a control strategy of the heat exchange station according to the comparison result;

[0008] The control strategy includes:

[0009] If the comparison result meets the first condition, a fuzzy PID controller based on the primary network water supply flow is constructed; if the comparison result meets the second condition, a fuzzy PID controller based on the secondary network water supply temperature is constructed;

[0010] S300: Based on the determined control strategy of the heat exchange station, adjust the opening of the primary network electric valve and dynamically adjust the secondary network water supply temperature.

[0011] A further improvement of the present application is that the method for obtaining outdoor temperature data comprises the following steps:

[0012] S101, obtaining the current outdoor temperature at any time point;

[0013] S102, based on the time point of the current outdoor temperature, dividing the preset time period into a number of detection time periods according to the length of the preset time period;

[0014] S103, obtaining outdoor temperature data in several detection time periods, and determining a change value of the outdoor temperature in a preset time period, wherein the change value of the outdoor temperature is a difference between a maximum value and a minimum value of the temperature detected in the several detection time periods.

[0015] A further improvement of the present application is that the method for constructing a fuzzy PID controller based on the primary network water supply flow rate comprises the following steps:

[0016] S211, obtaining a theoretical value of the primary network water supply flow rate corresponding to the change value of the outdoor temperature within a preset time period in a preset fuzzy query database, and obtaining an actual value of the primary network water supply flow rate, determining a difference between the theoretical value of the primary network water supply flow rate and the actual value of the primary network water supply flow rate and a difference change rate, respectively recorded as a first difference and a first difference change rate, and performing fuzzy processing on the first difference and the first difference change rate;

[0017] S212, inputting the first difference value and the first difference change rate after fuzzification processing into the fuzzy reasoning database, determining the input parameters of the PID controller, and determining the adjustment value of the primary network water supply flow rate by using the maximum membership method;

[0018] S213, adjusting the primary network water supply flow rate according to the adjustment value of the primary network water supply flow rate;

[0019] S214. In a continuous time period, if the comparison result meets the first condition, repeat steps S211-S213.

[0020] A further improvement of the present application is that, in step S211, the expression of the first difference ΔQ1 is:

[0021] ΔQ1=Q m -Q n (1)

[0022] In expression (1), Q m Indicates the theoretical value of the primary network water supply flow, Q n Indicates the actual value of the primary network water supply flow;

[0023] The first difference change rate The expression is:

[0024]

[0025] In expression (2), ΔQ1(t) represents the first difference at time t, ΔQ1(t-Δt) represents the first difference at time t-Δt, and Δt represents the time interval from time t to time t-Δt.

[0026] A further improvement of the present application is that in step S212, the maximum membership method is used to determine the adjustment value u of the primary network water supply flow. p The expression is:

[0027]

[0028] In expression (3), K P , K I , K D They represent proportional, integral and differential gains respectively, and μ() represents the membership function value.

[0029] A further improvement of the present application is that the method for constructing a fuzzy PID controller based on the secondary network water supply temperature comprises the following steps:

[0030] S221, obtaining the actual water supply temperature of the secondary network, determining the difference between the preset water supply temperature of the secondary network and the actual water supply temperature of the secondary network and the difference change rate, recording them as the second difference and the second difference change rate, respectively, and performing fuzzy processing on the second difference and the second difference change rate;

[0031] S222, inputting the second difference after fuzzification processing and the second difference change rate into the fuzzy reasoning database, determining the input parameters of the PID controller, and using the center of gravity method to determine the adjustment value of the primary network water supply flow;

[0032] S223, adjusting the primary network water supply flow rate according to the adjustment value of the primary network water supply flow rate;

[0033] S224. In a continuous time period, if the comparison result meets the second condition, repeat steps S221-S223.

[0034] A further improvement of the present application is that, in step S221, the expression of the second difference ΔQ2 is:

[0035] ΔQ2=Q j -Q k (4)

[0036] In expression (4), Q j Indicates the preset water supply temperature of the secondary network, Q k Indicates the actual water supply temperature of the secondary network;

[0037] The second difference change rate The expression is:

[0038]

[0039] In Expression (5), ΔQ2(t) represents the second difference at time t, represents the second difference at time t-Δt, and Δt represents the time interval from time t to time t-Δt.

[0040] A further improvement of the present application is that in step S222, the centroid method is used to determine the adjustment value u of the primary network water supply flow. q The expression is:

[0041]

[0042] In expression (8), u i represents the set of possible output values ​​of the fuzzy PID controller, μ(u i ) represents each possible output value u i The relevant membership function value, ∑(u i ·μ(u i )) represents the weighted sum of all possible output values, ∑μ(u i ) represents the sum of all membership degrees.

[0043] A further improvement of the present application is that the first condition is that the change in outdoor temperature is less than or equal to -6°C, and the second condition is that the change in outdoor temperature is greater than or equal to -6°C.

[0044] The beneficial effects of the present invention are:

[0045] 1. The control accuracy of the secondary water supply temperature of the heat exchange station is improved. Through the introduction of the fuzzy PID controller, it can better adapt to the time-varying and large hysteresis of the system, thereby achieving more accurate temperature tracking.

[0046] 2. Enhanced the adaptability and stability of the system. Since the fuzzy PID controller can dynamically adjust the control parameters according to real-time data, the system can adapt to different outdoor temperature changes and ensure the stability of the secondary water supply temperature.

[0047] 3. Energy saving and consumption reduction are achieved. By accurately controlling the secondary water supply temperature, unnecessary energy waste is reduced and the energy efficiency ratio of the entire heat exchange station is improved.

[0048] In summary, the dynamic tracking method of the secondary water supply temperature of the heat exchange station provided by the present invention not only improves the control accuracy and system stability, but also has good energy-saving effect and maintainability, which is of great significance to improving the operating efficiency and economic benefits of the heat exchange station. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1It is a schematic flow chart of a method for dynamically tracking the secondary water supply temperature of a heat exchange station according to the present invention;

[0050] Figure 2 The present invention is a principle block diagram of a fuzzy PID controller for a dynamic tracking method of secondary water supply temperature in a heat exchange station. DETAILED DESCRIPTION

[0051] The following will describe various embodiments of the present invention in detail with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0052] A heat exchange station is a facility used for heat exchange, usually used in a central heating system. Its main function is to exchange heat between a heat medium (such as hot water or steam) and the water system on the user side, thereby achieving the purpose of heating.

[0053] In the past, the tracking method of the water supply temperature in the secondary pipe network of the heat exchange station mostly used the traditional PID controller, which compared the set value of the water supply temperature of the secondary pipe network of the heat exchange station with the actual measured temperature feedback value. The traditional PID controller outputs the opening of the primary side electric valve to adjust the primary side heat supply to achieve the set value of the water supply temperature of the secondary pipe network. This method cannot comprehensively consider the time-varying and large hysteresis of the controlled object, and it is difficult to establish an accurate mathematical model. The dynamic tracking effect of the conventional PID control algorithm is not ideal.

[0054] In view of the above problems, the present application provides a method for dynamically tracking the secondary water supply temperature of a heat exchange station, such as Figure 2 As shown in the figure, a redundant fuzzy control strategy is introduced in the dynamic tracking method of the constant set value of the water supply temperature and flow rate of the heating secondary pipe network. The temperature acquisition module collects the outdoor temperature and the meteorological temperature changes within a period of time as the front-stage input of the fuzzy controller. When the meteorological temperature changes DI≤-6℃ in the next 6 hours, a fuzzy PID controller based on the primary network flow is constructed. The fuzzy controller is used to adjust the opening of the electric valve of the primary pipe network and dynamically track the stability of the primary side flow to ensure that the user's room temperature meets the standard. When the meteorological temperature changes DI≥-6℃ in the next 6 hours, a fuzzy PID controller based on the secondary water supply temperature is constructed. The fuzzy PID controller consists of two parts: conventional PID and fuzzy reasoning parameter correction. The secondary water supply temperature set value obtained by the upper platform and the actual value of the secondary heating collected by the temperature, the difference between the set value and the actual value E and the difference change rate EC are used as the input of the fuzzy controller. The fuzzy reasoning principle is used to adjust the parameters of the PID. The real-time output value of the PID controls the opening value of the regulating valve of the primary pipe network to track the secondary water supply temperature, and finally realizes the flow change to adjust the temperature of the secondary pipe network to follow the set value stably.

[0055] The technical solution will be described in detail below in conjunction with specific embodiments.

[0056] Example

[0057] refer to Figure 1 , a method for dynamically tracking the secondary water supply temperature of a heat exchange station, the method comprising the following steps S100-S300:

[0058] S100, obtaining outdoor temperature data, wherein the outdoor temperature data includes a current outdoor temperature and a change value of the outdoor temperature within a preset time period;

[0059] S200, comparing the obtained change value of the outdoor temperature within the estimated time period with a preset threshold value, determining a comparison result, and determining a control strategy of the heat exchange station according to the comparison result;

[0060] The control strategy includes:

[0061] If the comparison result meets the first condition, a fuzzy PID controller based on the primary network water supply flow is constructed; if the comparison result meets the second condition, a fuzzy PID controller based on the secondary network water supply temperature is constructed;

[0062] S300: Based on the determined control strategy of the heat exchange station, adjust the opening of the primary network electric valve and dynamically adjust the secondary network water supply temperature.

[0063] Through the above method, the secondary water supply temperature of the heat exchange station can be accurately controlled to ensure the stability and comfort of the user's room temperature under different outdoor temperature changes. In the specific implementation process, the outdoor temperature change is first monitored in real time through the temperature acquisition module, and then the temperature change value is compared with the set threshold to select the appropriate control strategy. When the outdoor temperature changes greatly, the fuzzy PID controller of the primary network flow dynamically adjusts the opening of the primary pipe network electric valve to stabilize the primary side flow and ensure that the user's room temperature meets the standard. When the outdoor temperature changes less, the fuzzy PID controller of the secondary water supply temperature is used to correct the PID parameters using fuzzy reasoning to achieve accurate tracking of the secondary water supply temperature and ensure that the secondary pipe network temperature stably follows the set value. Through this dynamic tracking method, the heat exchange station can respond to outdoor temperature changes more efficiently, improve energy utilization efficiency, and provide users with a more stable and comfortable indoor temperature environment.

[0064] In one embodiment of the present invention, in step S100, the method for obtaining outdoor temperature data includes the following steps S101-S103:

[0065] S101, obtaining the current outdoor temperature at any time point;

[0066] S102, based on the time point of the current outdoor temperature, dividing the preset time period into a number of detection time periods according to the length of the preset time period;

[0067] S103, obtaining outdoor temperature data in several detection time periods, and determining a change value of the outdoor temperature in a preset time period, wherein the change value of the outdoor temperature is a difference between a maximum value and a minimum value of the temperature detected in the several detection time periods.

[0068] Specifically, the current outdoor temperature is obtained through a temperature sensor that is connected to the heat exchange station in communication. The preset time period is set to 6 hours and is divided into 6 detection time periods based on 1 hour as the standard. The change in outdoor temperature is the difference between the maximum and minimum temperatures detected each hour.

[0069] Through the above method, the changing trend of outdoor temperature can be monitored in real time, providing accurate data support for subsequent temperature adjustment. When dealing with extreme weather conditions, the water supply temperature can be adjusted in advance to avoid inconvenience caused to users by sudden temperature changes.

[0070] In one embodiment of the present invention, in step S200, the first condition is that the change value of the outdoor temperature is less than or equal to -6°C, and the second condition is that the change value of the outdoor temperature is greater than or equal to -6°C.

[0071] Specifically, when the change value of the outdoor temperature is less than or equal to -6°C, the method of constructing a fuzzy PID controller based on the primary network water supply flow rate includes the following steps S211-S214:

[0072] S211, obtaining a theoretical value of the primary network water supply flow rate corresponding to the change value of the outdoor temperature within a preset time period in a preset fuzzy query database, and obtaining an actual value of the primary network water supply flow rate, determining a difference between the theoretical value of the primary network water supply flow rate and the actual value of the primary network water supply flow rate and a difference change rate, respectively recorded as a first difference and a first difference change rate, and performing fuzzy processing on the first difference and the first difference change rate;

[0073] S212, inputting the first difference value and the first difference change rate after fuzzification processing into the fuzzy reasoning database, determining the input parameters of the PID controller, and determining the adjustment value of the primary network water supply flow rate by using the maximum membership method;

[0074] S213, adjusting the primary network water supply flow rate according to the adjustment value of the primary network water supply flow rate;

[0075] S214. In a continuous time period, if the comparison result meets the first condition, repeat steps S211-S213.

[0076] Preferably, in step S211, the expression of the first difference ΔQ1 is:

[0077] ΔQ1=Q m -Q n (1)

[0078] In expression (1), Q m Indicates the theoretical value of the primary network water supply flow, Q n Indicates the actual value of the primary network water supply flow rate, obtained through a flow meter that is connected to the heat exchange station;

[0079] The first difference change rate The expression is:

[0080]

[0081] In expression (2), ΔQ1(t) represents the first difference at time t, ΔQ1(t-Δt) represents the first difference at time t-Δt, and Δt represents the time interval from time t to time t-Δt.

[0082] Preferably, in step S212, the maximum membership method is used to determine the adjustment value u of the primary network water supply flow rate. p The expression is:

[0083]

[0084] In expression (3), K P , K I , K D They represent proportional, integral and differential gains respectively, and μ() represents the membership function value.

[0085] For example, when the change in outdoor temperature is less than or equal to -6°C, in this case, the regulation of the primary network water supply flow usually needs to be increased to cope with the impact of the low temperature environment. We can define the following fuzzy sets and membership functions.

[0086] (1) Membership function design

[0087] Negative Large (NB): indicates that the flow needs to be significantly reduced;

[0088] Negative (N): indicates that the flow rate needs to be reduced;

[0089] Zero (Z): indicates that the flow rate remains unchanged;

[0090] Positive (P): indicates that the flow rate needs to be increased;

[0091] Zhengda (PB): Indicates that the flow rate needs to be significantly increased.

[0092] (2) Use the triangular membership function to define each fuzzy set: Negative Large (NB):

[0093]

[0094] Negative (N):

[0095]

[0096] Zero (Z):

[0097]

[0098] Positive (P):

[0099]

[0100] CP Group (PB):

[0101]

[0102] (3) Fuzzy reasoning rules:

[0103] When the temperature difference is negative (NB), the adjustment value is negative (-Q max ).

[0104] When the temperature difference is negative (N), the adjustment value is negative (-Q mid ).

[0105] When the temperature difference is zero (Z), the adjustment value is zero (0).

[0106] When the temperature difference is positive (P), the adjustment value is positive (Q mid ).

[0107] When the temperature difference is positive (PB), the adjustment value is positive (Q max ).

[0108] (4) Calculate the regulation value of the primary network water supply flow.

[0109] Specifically, when the change value of the outdoor temperature is greater than or equal to -6°C, the method for constructing a fuzzy PID controller based on the secondary network water supply temperature includes the following steps S221-S224:

[0110] S221, obtaining the actual water supply temperature of the secondary network, determining the difference between the preset water supply temperature of the secondary network and the actual water supply temperature of the secondary network and the difference change rate, recording them as the second difference and the second difference change rate, respectively, and performing fuzzy processing on the second difference and the second difference change rate;

[0111] S222, inputting the second difference after fuzzification processing and the second difference change rate into the fuzzy reasoning database, determining the input parameters of the PID controller, and using the center of gravity method to determine the adjustment value of the primary network water supply flow;

[0112] S223, adjusting the primary network water supply flow rate according to the adjustment value of the primary network water supply flow rate;

[0113] S224. In a continuous time period, if the comparison result meets the second condition, repeat steps S221-S223.

[0114] Preferably, in step S221, the expression of the second difference ΔQ2 is:

[0115] ΔQ2=Q j -Q k (4)

[0116] In expression (4), Q j Indicates the preset water supply temperature of the secondary network, Q k Indicates the actual water supply temperature of the secondary network, obtained through a thermometer or temperature sensor connected to the heat exchange station;

[0117] The second difference change rate The expression is:

[0118]

[0119] In Expression (5), ΔQ2(t) represents the second difference at time t, represents the second difference at time t-Δt, and Δt represents the time interval from time t to time t-Δt.

[0120] Preferably, in step S222, the centroid method is used to determine the adjustment value u of the primary network water supply flow rate. q The expression is:

[0121]

[0122] In expression (8), u i represents the set of possible output values ​​of the fuzzy PID controller, μ(u i ) represents each possible output value u i The relevant membership function value, ∑(u i ·μ(u i )) represents the weighted sum of all possible output values, ∑μ(u i ) represents the sum of all membership degrees.

[0123] For example, when the change in outdoor temperature is less than or equal to -6°C, in this case, the regulation of the secondary network water supply temperature usually needs to be adjusted appropriately. We can define the following fuzzy sets and membership functions.

[0124] (1) Membership function design

[0125] Negative (N): indicates that the temperature needs to be lowered;

[0126] Zero (Z): indicates that the temperature remains constant;

[0127] Positive (P): Indicates that the temperature needs to be increased.

[0128] (2) Use the triangular membership function to define the fuzzy set:

[0129] Negative (N):

[0130]

[0131] Zero (Z):

[0132]

[0133] Positive (P):

[0134]

[0135] (3) Fuzzy reasoning rules:

[0136] When the temperature difference is negative (N), the adjustment value is negative (-Q mid ).

[0137] When the temperature difference is zero (Z), the adjustment value is zero (0).

[0138] When the temperature difference is positive (P), the adjustment value is positive (Q mid ).

[0139] (4) Calculate the adjustment value of the secondary network temperature.

[0140] The beneficial effects of the present invention are:

[0141] 1. The control accuracy of the secondary water supply temperature of the heat exchange station is improved. Through the introduction of the fuzzy PID controller, it can better adapt to the time-varying and large hysteresis of the system, thereby achieving more accurate temperature tracking.

[0142] 2. Enhanced the adaptability and stability of the system. Since the fuzzy PID controller can dynamically adjust the control parameters according to real-time data, the system can adapt to different outdoor temperature changes and ensure the stability of the secondary water supply temperature.

[0143] 3. Energy saving and consumption reduction are achieved. By accurately controlling the secondary water supply temperature, unnecessary energy waste is reduced and the energy efficiency ratio of the entire heat exchange station is improved.

[0144] In summary, the dynamic tracking method of the secondary water supply temperature of the heat exchange station provided by the present invention not only improves the control accuracy and system stability, but also has good energy-saving effect and maintainability, which is of great significance to improving the operating efficiency and economic benefits of the heat exchange station.

[0145] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0146] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0147] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0148] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0149] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0150] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0151] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0152] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for dynamically tracking the secondary water supply temperature of a heat exchange station, characterized in that: The method comprises the following steps: S100, obtaining outdoor temperature data, wherein the outdoor temperature data includes a current outdoor temperature and a change value of the outdoor temperature within a preset time period; S200, comparing the obtained change value of the outdoor temperature within the estimated time period with a preset threshold value, determining a comparison result, and determining a control strategy of the heat exchange station according to the comparison result; The control strategy includes: If the comparison result meets the first condition, a fuzzy PID controller based on the primary network water supply flow is constructed; If the comparison result meets the second condition, a fuzzy PID controller based on the secondary network water supply temperature is constructed; S300: Based on the determined control strategy of the heat exchange station, adjust the opening of the primary network electric valve and dynamically adjust the secondary network water supply temperature.

2. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 1, characterized in that: The method for obtaining outdoor temperature data comprises the following steps: S101, obtaining the current outdoor temperature at any time point; S102, based on the time point of the current outdoor temperature, dividing the preset time period into a number of detection time periods according to the length of the preset time period; S103, obtaining outdoor temperature data in several detection time periods, and determining a change value of the outdoor temperature in a preset time period, wherein the change value of the outdoor temperature is a difference between a maximum value and a minimum value of the temperature detected in the several detection time periods.

3. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 1, characterized in that: The method for constructing a fuzzy PID controller based on the primary network water supply flow rate comprises the following steps: S211, obtaining a theoretical value of the primary network water supply flow rate corresponding to the change value of the outdoor temperature within a preset time period in a preset fuzzy query database, and obtaining an actual value of the primary network water supply flow rate, determining a difference between the theoretical value of the primary network water supply flow rate and the actual value of the primary network water supply flow rate and a difference change rate, respectively recorded as a first difference and a first difference change rate, and performing fuzzy processing on the first difference and the first difference change rate; S212, inputting the first difference value and the first difference change rate after fuzzification processing into the fuzzy reasoning database, determining the input parameters of the PID controller, and determining the adjustment value of the primary network water supply flow rate by using the maximum membership method; S213, adjusting the primary network water supply flow rate according to the adjustment value of the primary network water supply flow rate; S214. In a continuous time period, if the comparison result meets the first condition, repeat steps S211-S213.

4. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 3, characterized in that: In step S211, the expression of the first difference ΔQ1 is: ΔQ1=Q m -Q n (1), In expression (1), Q m Indicates the theoretical value of the primary network water supply flow, Q n Indicates the actual value of the primary network water supply flow; The first difference change rate The expression is: In expression (2), ΔQ1(t) represents the first difference at time t, ΔQ1(t-Δt) represents the first difference at time t-Δt, and Δt represents the time interval from time t to time t-Δt.

5. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 4, characterized in that: In step S212, the maximum membership method is used to determine the adjustment value u of the primary network water supply flow. p The expression is: In expression (3), K P , K I , K D They represent proportional, integral and differential gains respectively, and μ() represents the membership function value.

6. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 1, characterized in that: The method for constructing a fuzzy PID controller based on the secondary network water supply temperature comprises the following steps: S221, obtaining the actual water supply temperature of the secondary network, determining the difference between the preset water supply temperature of the secondary network and the actual water supply temperature of the secondary network and the difference change rate, recording them as the second difference and the second difference change rate, respectively, and performing fuzzy processing on the second difference and the second difference change rate; S222, inputting the second difference after fuzzification processing and the second difference change rate into the fuzzy reasoning database, determining the input parameters of the PID controller, and using the center of gravity method to determine the adjustment value of the primary network water supply flow; S223, adjusting the primary network water supply flow rate according to the adjustment value of the primary network water supply flow rate; S224. In a continuous time period, if the comparison result meets the second condition, repeat steps S221-S223.

7. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 6, characterized in that: In step S221, the expression of the second difference ΔQ2 is: ΔQ2=Q j -Q k (4), In expression (4), Q j Indicates the preset water supply temperature of the secondary network, Q k Indicates the actual water supply temperature of the secondary network; The second difference change rate The expression is: In Expression (5), ΔQ2(t) represents the second difference at time t, represents the second difference at time t-Δt, and Δt represents the time interval from time t to time t-Δt.

8. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 7, characterized in that: In step S222, the centroid method is used to determine the adjustment value u of the primary network water supply flow rate. q The expression is: In expression (8), u i represents the set of possible output values ​​of the fuzzy PID controller, μ(u i ) represents each possible output value u i The relevant membership function value, ∑(u i ·μ(u i )) represents the weighted sum of all possible output values, ∑μ(u i ) represents the sum of all membership degrees.

9. The method for dynamically tracking the secondary water supply temperature of a heat exchange station according to claim 1, characterized in that: The first condition is that the change value of the outdoor temperature is less than or equal to -6°C, and the second condition is that the change value of the outdoor temperature is greater than or equal to -6°C.

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