Secondary supply and return average water temperature adjusting method and system based on control algorithm

Abstract

The invention discloses a secondary supply and return average water temperature adjusting method and system based on a control algorithm, and belongs to the technical field of heating ventilation air conditioners. Outdoor air temperature is collected and sent to the heat exchange station, the secondary water supply and return average temperature is determined, and a weighted result is set as a heat exchange station control target; and counting the real-time secondary supply and return water average temperature per hour, analyzing the target deviation condition of the whole network, and performing control strategy compensation to keep the secondary supply and return water average temperature consistent. Precise control over a heat supply system is achieved, the energy-saving effect and the user comfort degree are enhanced, the condition of deviation from a target is compensated in time, and it is ensured that the temperature is stable; and in combination with a secondary temperature equalization and climate compensation control strategy, faults and climate fluctuations are effectively handled, the heat supply reliability is ensured, a virtual network is constructed to manage all heat exchange stations, uniform water temperature distribution is achieved, and the overall efficiency is remarkably improved. In the whole process, the energy consumption of the system is reduced, and better comfortable experience is provided for the user.

Description

Technical Field

[0001] The present invention relates to the technical field of heating, ventilation and air conditioning, and in particular to a secondary supply and return average water temperature regulation method and system based on a control algorithm. Background Art

[0002] In recent years, with the advancement of sustainable development and energy conservation and emission reduction policies, the optimization and improvement of building heating systems has attracted widespread attention. Traditional heating methods mostly rely on simple temperature control algorithms, which are highly versatile. However, in complex heating environments, they cannot flexibly respond to external climate changes and internal load fluctuations. This single control method not only leads to energy waste, but also makes it difficult to keep the indoor temperature within the ideal range, thus affecting living comfort and energy efficiency. In response to these problems, intelligent regulation and control systems based on data analysis have gradually become a development trend. For example, research in recent years has shown that by real-time monitoring of climate data and combining complex algorithm models, dynamic adjustment of the heating system can be achieved, thereby improving heating efficiency and reducing energy consumption.

[0003] However, existing technologies still have shortcomings in many aspects. First, existing intelligent control systems usually lack the ability to flexibly adjust to specific building structures and heat load characteristics, and lack fine-tuning to meet the needs of different users, which can easily lead to uneven heating effects. Secondly, the deviation feedback mechanism of many systems is inefficient, and fails to promptly identify and adjust the impact of external environmental changes on heating demand, resulting in large temperature deviations. In addition, the lack of effective use of historical data has led to many control strategies being based on ideal conditions rather than actual conditions, making it impossible to optimize operating results. These deficiencies make it impossible for the heating system to quickly adapt to temperature changes and load fluctuations, and it is impossible to achieve the optimal heating state. Therefore, a secondary supply and return average water temperature adjustment method based on a control algorithm came into being, aiming to solve the various deficiencies of traditional heating systems in environmental adaptability and energy efficiency management.

[0004] The present invention realizes precise regulation of the heating system by establishing a deviation library of the heat exchange station and analyzing it in combination with historical data. It can dynamically adjust the average temperature of the secondary supply and return water according to the real-time outdoor temperature and indoor demand to ensure the balance and stability of the heating effect. When analyzing the deviation of the entire network from the target, this method effectively controls the operating state of the system through real-time statistics and feedback mechanisms, thereby reducing energy consumption and improving the efficiency of heat source use. In addition, by constructing a mathematical model to evaluate the impact of various influencing factors on water temperature, the difference between the actual heating temperature and the set temperature can be significantly reduced, thereby improving the heat exchange efficiency. When increasingly complex environmental factors affect the performance of the heating system, the control strategy of the present invention can be adaptively adjusted in real time through secondary temperature control and climate compensation, thereby ensuring that the ideal heating state can be maintained under various conditions. These characteristics make the present invention have significant application prospects and social value in promoting the intelligence and efficiency of building heating systems. Summary of the invention

[0005] In view of the above existing problems, the purpose of the present invention is to solve the technical difficulties of temperature consistency, dynamic adjustment, data analysis and model establishment, and fault handling of the heating system. Through real-time statistics and feedback mechanisms, using historical data to analyze influencing factors and establish mathematical models, this method can improve system efficiency, achieve precise temperature control, enhance intelligent control, and reduce operating costs, ultimately reducing energy waste and improving the overall performance and economy of the heating system.

[0006] In order to solve the above technical problems, a secondary supply and return average water temperature adjustment method based on control algorithm is proposed, including:

[0007] Establish a deviation database for the heat exchange station and determine the deviation coefficient; collect outdoor air temperature and send it to the heat exchange station to determine the average temperature of the secondary supply and return water and set the weighted result as the control target of the heat exchange station; calculate the real-time average temperature of the secondary supply and return water every hour, analyze the deviation of the entire network from the target, and implement control strategy compensation to keep the average temperature of the secondary supply and return water consistent.

[0008] As a preferred solution of the secondary supply and return average water temperature adjustment method based on the control algorithm described in the present invention, wherein: the heat exchange station deviation library includes, according to the building structure, construction year, insulation conditions, and heating experience of the heat exchange station, collecting corresponding data, classifying the collected historical data including structural characteristics of area, floor height, and heat load, operating parameters of inlet water temperature, outlet water temperature, and flow rate, maintenance, overhaul time, and maintenance records of the project, analyzing the difference between the actual heating temperature and the set temperature, the fluctuation of heat exchange efficiency, and the change of energy consumption in different time periods through historical data, using data fitting to establish a mathematical model to evaluate the impact of different factors on water temperature, and forming a deviation library with the analysis results and model results including historical data and deviation records of supply and return water temperatures, parameters affecting temperature due to interference factors, and maintenance and adjustment records.

[0009] As a preferred solution of the secondary supply and return average water temperature adjustment method based on the control algorithm described in the present invention, the deviation coefficient includes: setting a feedback mechanism according to the content of the deviation library to adjust the deviation coefficient in real time according to the historical data of the deviation library to achieve the final deviation coefficient K d =K base ·K f , where K base is the initial deviation coefficient, K f To adjust the pre-feedback coefficient.

[0010] As a preferred solution of the secondary supply and return average water temperature adjustment method based on the control algorithm described in the present invention, wherein: the control target of the heat exchange station includes determining the secondary supply and return average water temperature T according to the outdoor temperature avg , weight the current secondary supply and return water average temperature T avg_new Set as the heat exchange station control target T target =T avg_new ±K d ;

[0011] When the outdoor temperature T out Below the set threshold T th When the heat exchange station control target is T target =T avg_new +K d ;

[0012] When the outdoor temperature T out Exceeding the set threshold T th When the heat exchange station control target is T target =T avg_new -K d .

[0013] As a preferred solution of the secondary supply and return average water temperature adjustment method based on the control algorithm described in the present invention, the analysis of the deviation of the entire network from the target includes, after determining the control target of the heat exchange station, regulating the secondary supply and return average water temperature of the operating heat exchange station and calculating the real-time secondary supply and return average water temperature every hour during operation:

[0014] When the average temperature of the secondary supply and return water in the whole network is greater than the set target, the heat source is sufficient, and the average temperature of the secondary supply and return water of the heat exchange station is set to the target T accordingly. target +K d ;

[0015] When the average temperature of the secondary supply and return water of the whole network is lower than the set target, the heat source is insufficient, and the average temperature of the secondary supply and return water of the heat exchange station is reduced accordingly. target -K d ;

[0016] When the regulation is completed, two control strategies are used in the system for temperature compensation according to the settings.

[0017] As a preferred solution of the secondary supply and return average water temperature adjustment method based on the control algorithm described in the present invention, wherein: the control strategy includes secondary average temperature control and climate compensation;

[0018] Secondary temperature control is used when there is equipment failure, seasonal load changes including sudden temperature drop and the initial stage of heating, when the heat exchange station is just put into use or undergoing maintenance, and when the climate compensation control fails;

[0019] When the outdoor temperature changes beyond the set threshold, when the outdoor temperature remains outside the set range within 1 hour, or when the load demand of the entire network continues to be not equal to the expected target, climate compensation control is adopted;

[0020] The secondary temperature average control is that after the regulation is completed, a virtual network is constructed in the system, and the heat exchange station is added to the virtual network. The control strategy selects secondary temperature average control, and the valve control of all heat exchange stations under the current virtual network is changed to a fixed value mode. The set heat exchange station type compensation value, average temperature compensation value and twelve-time period compensation value are selected to perform temperature compensation to keep the average temperature of the secondary supply and return water consistent. Among them, under the secondary temperature average control, when the heat exchange station is offline, it does not participate in the target average temperature calculation and regulation.

[0021] As a preferred solution of the secondary supply and return average water temperature regulation method based on the control algorithm described in the present invention, the climate compensation includes: in the system, building a new virtual network and changing the corresponding name, re-adding the heat exchange station to the virtual network, the control strategy selects climate compensation secondary temperature control or climate compensation secondary temperature control, and changes the valve control of all heat exchange stations under the current new virtual network to climate compensation secondary temperature mode or climate compensation secondary temperature mode, sets the secondary average temperature corresponding to 5°C, 0°C, -5°C, and -10°C, configures the compensation temperature for 12 time periods, and sends it to the heat exchange station for temperature compensation ΔT to keep the average temperature of the secondary supply and return water consistent.

[0022] Another object of the present invention is to provide a secondary supply and return average water temperature adjustment system based on a control algorithm. The present invention aims to dynamically adjust the average temperature of the secondary supply and return water through a precise control algorithm to ensure that the heating system maintains a stable and balanced heating effect under changes in external conditions and load demand. It solves the problems of temperature consistency, the lag of real-time data acquisition and feedback, and the challenges of lack of flexibility in deviation analysis and control strategies, optimizes energy efficiency, and reduces resource consumption. In addition, the system effectively responds to climate change and seasonal load fluctuations, improves the intelligence and automation level of heating, and ultimately creates a comfortable environment for users, while achieving efficient energy utilization and environmental protection.

[0023] As a preferred solution of the secondary supply and return average water temperature adjustment system based on the control algorithm described in the present invention, it is characterized by comprising a data acquisition module, a deviation analysis module, and a compensation control module;

[0024] The data acquisition module collects the operating status and historical operation data of the heat exchange station in real time, collects external temperature data and sends it to the deviation analysis module, monitors the current average temperature of the secondary supply and return water, transmits the data to the deviation analysis module, and stores the historical data in the database;

[0025] The deviation analysis module receives data from the data acquisition module, performs real-time statistics and analysis, calculates the deviation between the secondary supply and return water temperature and the historical heating situation, updates the deviation coefficient, makes real-time adjustments based on the deviation algorithm and feeds back to the compensation control module, and sends the deviation library information and control target obtained by the analysis to the compensation control module;

[0026] The compensation control module receives the control target and deviation coefficient of the deviation analysis module, and selects to execute secondary temperature uniformity control or climate compensation control according to the real-time temperature data and external environmental change conditions, adjusts the settings of the heat exchange station, implements temperature compensation, ensures that the average temperature of the secondary supply and return water of the system is consistent, and feeds back the adjustment results to the data acquisition module for the next round of data acquisition and deviation analysis.

[0027] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the secondary supply and return average water temperature regulation method based on the control algorithm are implemented.

[0028] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the secondary supply and return average water temperature regulation method based on a control algorithm are implemented.

[0029] Beneficial effects of the present invention: The present invention realizes precise regulation of the heating system by establishing a deviation library of the heat exchange station and determining the deviation coefficient. First, the outdoor air temperature is collected in real time and the control target is set to ensure that the system can dynamically adapt to environmental changes to improve energy saving and user comfort. Secondly, by statistically analyzing the real-time average temperature of the secondary supply and return water every hour, the deviation of the entire network from the target is analyzed, and the control strategy compensation is carried out in time to ensure the stability and efficiency of the temperature. In addition, by adjusting the deviation coefficient in real time and setting the control target according to the outdoor temperature, the automation and efficiency of the heating system are further improved. At the same time, the whole network monitoring and flexible secondary average temperature and climate compensation control strategies are implemented to effectively respond to equipment failures and climate changes and ensure the reliability of heating. Finally, a virtual network is constructed to manage all heat exchange stations to achieve uniform distribution of water temperature and greatly improve the overall efficiency of the system. The entire process effectively reduces energy consumption and improves the user's comfort experience.

[0030] Although the traditional PID algorithm in the industrial control of the heat exchange station can achieve fast and accurate regulation, the oscillation of two-way overshoot cannot be avoided. In order to avoid large overshoot, the step size must be limited and the number of adjustments must be increased. In addition, the time period for the circulating water to reach stability with the change of co-temperature is very long, and the sampling period must be greatly extended. At the same time, due to the continuous adjustment and mutual influence of each station, it is difficult for the entire network to be in a stable state. Under such a premise, the advantages of the PID method cannot be fully reflected, and its characteristics become disadvantages. The control algorithm currently used in the system avoids the problems of overshoot oscillation, high number of valve actions, and long tracking cycle caused by the traditional PID method, and can achieve a control effect that greatly approaches the target. The secondary supply and return average temperature full-network balance strategy is itself an approaching strategy, and this control method is consistent with it.

[0031] Dispatchers can set corresponding compensation values ​​for each secondary system through the monitoring system software according to the actual building characteristics of users (such as building energy-saving effects), equipment characteristics of heat exchange stations (such as heat exchange efficiency of heat exchangers), and indoor heat exchange methods (such as wall heating, floor heating, etc.), so that the target value of the system's average temperature tracking is higher or lower than the secondary average temperature of the entire network, thereby enabling users with different heating conditions to obtain relatively consistent heating effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0033] Figure 1 An overall flow chart of a secondary supply and return average water temperature adjustment method based on a control algorithm provided in one embodiment of the present invention.

[0034] Figure 2 A module schematic diagram of a secondary supply and return average water temperature regulation system based on a control algorithm provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0036] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0037] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0038] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0039] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0040] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a secondary supply and return average water temperature adjustment method based on a control algorithm, comprising:

[0042] S1: Establish a heat exchange station deviation library and determine the deviation coefficient.

[0043] Specifically, according to the building structure, construction year, insulation conditions, and heating experience of the heat exchange station, the corresponding data is collected and classified, including the structural characteristics of the area, floor height, and heat load, the operating parameters of the inlet water temperature, outlet water temperature, and flow rate, and the maintenance and overhaul time and maintenance records of the project. Through the historical data, the difference between the actual heating temperature and the set temperature, the fluctuation of the heat exchange efficiency, and the change of energy consumption in different time periods are analyzed. The mathematical model is established by data fitting to evaluate the impact of different factors on the water temperature F, and the goal is to minimize F:

[0044] F=T a -T s +K1·(η-D T ) 2 +K2·ln(C t +1)

[0045] MinimizeF

[0046] Among them, T a is the actual heating temperature, T s is the set temperature, η is the heat exchange efficiency, D T is the difference between the actual heating temperature and the set temperature, i.e. D T =T a -T s ; C tis the current energy consumption, K1 and K2 are the parameters affected by the adjustment factors, ensuring that the weights of various indicators match;

[0047] The analysis results and model results are used to form a deviation library, including historical data and deviation records of supply and return water temperatures, parameters affecting temperature due to interference factors, and maintenance and adjustment records.

[0048] Furthermore, a feedback mechanism is set up according to the content of the deviation library to adjust the deviation coefficient in real time according to the historical data of the deviation library:

[0049]

[0050] Among them, K f To adjust the pre-feedback coefficient, c is a small positive number to avoid division by zero, ΔT max is the preset maximum temperature difference, f h is the historical adjustment factor:

[0051]

[0052] Among them, C t，avg is the historical average energy consumption, β is the energy consumption impact weight factor;

[0053] To reach the final deviation coefficient K d =K base ·K f , where K base is the initial deviation coefficient.

[0054] Specifically, set T s =70℃, actual heating temperature T a =65℃, then D T =|T a -T s |=|65-70|=5℃,ΔT max =10℃, calculate K f

[0055]

[0056] If the current energy consumption C t = 120 units, while the historical average C t，avg =1()()unit, then:

[0057]

[0058] K base is the initial deviation coefficient, set to 1.0, K d =1.1.

[0059] S2: Collect the outdoor air temperature and send it to the heat exchange station to determine the average temperature of the secondary supply and return water and set the weighted result as the control target of the heat exchange station.

[0060] Furthermore, the average temperature of the secondary supply and return water T is determined according to the outdoor temperature. avg , weight the current secondary supply and return water average temperature T avg_new Set as the heat exchange station control target T target =T avg_new ±K d ;

[0061] T avg_new =T avg +α·(T th -T out )

[0062] Among them, T out is the outdoor temperature, T th is the set threshold temperature, α is the influence coefficient of external temperature change on water temperature;

[0063] When the outdoor temperature T out Below the set threshold T th When the heat exchange station control target is T target =T avg_new +K d ;

[0064] When the outdoor temperature T out Exceeding the set threshold T th When the heat exchange station control target is T target =T avg_new -K d .

[0065] S3: Count the real-time average temperature of secondary supply and return water every hour, analyze the deviation of the entire network from the target, and implement control strategy compensation to keep the average temperature of secondary supply and return water consistent.

[0066] Furthermore, after determining the control target of the heat exchange station, the average secondary supply and return water temperature of the heat exchange station is regulated and the real-time average secondary supply and return water temperature is calculated every hour during operation:

[0067] When the average temperature of the secondary supply and return water in the whole network is greater than the set target, the heat source is sufficient, and the average temperature of the secondary supply and return water of the heat exchange station is set to the target T accordingly. target +K d ;

[0068] When the average temperature of the secondary supply and return water of the whole network is lower than the set target, the heat source is insufficient, and the average temperature of the secondary supply and return water of the heat exchange station is reduced accordingly. target -K d ;

[0069] When the regulation is completed, two control strategies are used in the system for temperature compensation according to the settings.

[0070] It should be noted that the control strategy includes secondary temperature control and climate compensation;

[0071] Secondary temperature control is used when there is equipment failure, seasonal load changes including sudden temperature drop and the initial stage of heating, when the heat exchange station is just put into use or undergoing maintenance, and when the climate compensation control fails;

[0072] When the outdoor temperature changes beyond the set threshold, when the outdoor temperature remains outside the set range within 1 hour, or when the load demand of the entire network continues to be not equal to the expected target, climate compensation control is adopted;

[0073] The secondary temperature average control is that after the regulation is completed, a virtual network is constructed in the system, and the heat exchange station is added to the virtual network. The control strategy selects secondary temperature average control, and the valve control of all heat exchange stations under the current virtual network is changed to a fixed value mode. The set heat exchange station type compensation value, average temperature compensation value and twelve-time period compensation value are selected to perform temperature compensation to keep the average temperature of the secondary supply and return water consistent. Among them, under the secondary temperature average control, when the heat exchange station is offline, it does not participate in the target average temperature calculation and regulation.

[0074] The climate compensation includes, in the system, constructing a new virtual network and changing the corresponding name, re-adding the heat exchange station to the virtual network, selecting climate compensation secondary temperature control or climate compensation secondary temperature supply control as the control strategy, changing the valve control of all heat exchange stations under the current new virtual network to climate compensation secondary temperature control or climate compensation secondary temperature supply, setting the secondary average temperature corresponding to 5°C, 0°C, -5°C, and -10°C, configuring the compensation temperature for 12 time periods, and sending it to the heat exchange station for temperature compensation ΔT to keep the average temperature of the secondary supply and return water consistent;

[0075] ΔT=r1·(T out -T s )+r2·D T

[0076] Among them, r1 and r2 are climate sensitivity factor and temperature deviation sensitivity factor, r1 = 0.5, r2 = 0.8;

[0077] Calculate the real-time compensation temperature T compensated :

[0078] T compensated =T s +ΔT

[0079] Among them, when T out <T threshold When Tout >T threshold When , the compensation temperature ΔT is reduced.

[0080] Embodiment 2, the second embodiment of the present invention, is different from the first two embodiments in that:

[0081] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0082] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0083] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0084] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0085] Example 3, reference Figure 2 , which is the third embodiment of the present invention, and provides a secondary supply and return average water temperature adjustment system based on a control algorithm, including a data acquisition module 10, a deviation analysis module 20, and a compensation control module 30;

[0086] The data acquisition module 10 collects the operating status and historical operation data of the heat exchange station in real time, collects the external temperature data and sends it to the deviation analysis module 20, monitors the current average temperature of the secondary supply and return water, transmits the data to the deviation analysis module 20, and stores the historical data in the database;

[0087] The deviation analysis module 20 receives the data from the data acquisition module 10, performs real-time statistics and analysis, calculates the deviation between the secondary supply and return water temperature and the historical heating situation, updates the deviation coefficient, makes real-time adjustments based on the deviation algorithm and feeds back to the compensation control module 30, and sends the deviation library information and control target obtained by the analysis to the compensation control module 30;

[0088] The compensation control module 30 receives the control target and deviation coefficient of the deviation analysis module 20, and selects to perform secondary temperature uniformity control or climate compensation control according to the real-time temperature data and external environmental change conditions, adjusts the settings of the heat exchange station, implements temperature compensation, ensures that the average temperature of the secondary supply and return water of the system is consistent, and feeds back the adjustment results to the data acquisition module 10 for the next round of data acquisition and deviation analysis.

[0089] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A secondary supply and return average water temperature adjustment method based on a control algorithm, characterized in that: include, Establish a heat exchange station deviation library and determine the deviation coefficient; Collect the outdoor temperature and send it to the heat exchange station to determine the average temperature of the secondary supply and return water and set the weighted result as the control target of the heat exchange station; The real-time average temperature of secondary supply and return water is counted every hour, the deviation of the entire network from the target is analyzed, and control strategy compensation is implemented to keep the average temperature of secondary supply and return water consistent.

2. The secondary supply and return average water temperature adjustment method based on the control algorithm as claimed in claim 1, characterized in that: The heat exchange station deviation library includes collecting corresponding data based on the building structure, construction year, insulation conditions, and heating experience of the heat exchange station over the years, and classifying the collected historical data including structural characteristics of area, floor height, and heat load, operating parameters of inlet water temperature, outlet water temperature, and flow rate, maintenance, overhaul time, and maintenance records of the project. Through historical data, the difference between the actual heating temperature and the set temperature, the fluctuation of heat exchange efficiency, and the change of energy consumption in different time periods are analyzed. A mathematical model is established by data fitting to evaluate the impact of different factors on water temperature. The analysis results and model results are formed into a deviation library including historical data and deviation records of supply and return water temperatures, parameters affecting temperature due to interference factors, and maintenance and adjustment records.

3. The secondary supply and return average water temperature adjustment method based on the control algorithm as claimed in claim 2, characterized in that: The deviation coefficient includes setting a feedback mechanism according to the content of the deviation library and adjusting the deviation coefficient in real time according to the historical data of the deviation library to achieve the final deviation coefficient K d =K base ·K f , where K base is the initial deviation coefficient, K f To adjust the pre-feedback coefficient.

4. The secondary supply and return average water temperature adjustment method based on the control algorithm as claimed in claim 3 is characterized by: The control target of the heat exchange station includes determining the average temperature of the secondary supply and return water T according to the outdoor temperature. avg , weight the current secondary supply and return water average temperature T avg_new Set as the heat exchange station control target T target =T avg_new ±K d ; When the outdoor temperature T out Below the set threshold T th When the heat exchange station control target is T target =T avg_new +K d ; When the outdoor temperature T out Exceeding the set threshold T th When the heat exchange station control target is T target =T avg_new -K d .

5. The secondary supply and return average water temperature adjustment method based on the control algorithm as claimed in claim 4 is characterized by: The analysis of the deviation of the whole network from the target includes, after determining the control target of the heat exchange station, adjusting the average secondary supply and return water temperature of the heat exchange station and calculating the real-time average secondary supply and return water temperature every hour during operation: When the average temperature of the secondary supply and return water in the whole network is greater than the set target, the heat source is sufficient, and the average temperature of the secondary supply and return water of the heat exchange station is set to the target T accordingly. target +K d ; When the average temperature of the secondary supply and return water of the whole network is lower than the set target, the heat source is insufficient, and the average temperature of the secondary supply and return water of the heat exchange station is reduced accordingly. target -K d ; When the regulation is completed, two control strategies are used in the system for temperature compensation according to the settings.

6. The secondary supply and return average water temperature adjustment method based on the control algorithm as claimed in claim 5, characterized in that: The control strategy includes secondary temperature control and climate compensation; Secondary temperature control is used when there is equipment failure, seasonal load changes including sudden temperature drop and the initial stage of heating, when the heat exchange station is just put into use or undergoing maintenance, and when the climate compensation control fails; When the outdoor temperature changes beyond the set threshold, when the outdoor temperature remains outside the set range within 1 hour, or when the load demand of the entire network continues to be not equal to the expected target, climate compensation control is adopted; The secondary temperature average control is that after the regulation is completed, a virtual network is constructed in the system, and the heat exchange station is added to the virtual network. The control strategy selects secondary temperature average control, and the valve control of all heat exchange stations under the current virtual network is changed to a fixed value mode. The set heat exchange station type compensation value, average temperature compensation value and twelve-time period compensation value are selected to perform temperature compensation to keep the average temperature of the secondary supply and return water consistent. Among them, under the secondary temperature average control, when the heat exchange station is offline, it does not participate in the target average temperature calculation and regulation.

7. The secondary supply and return average water temperature adjustment method based on the control algorithm as claimed in claim 6, characterized in that: The climate compensation includes, in the system, building a new virtual network and changing the corresponding name, adding the heat exchange station to the virtual network again, selecting climate compensation secondary temperature control or climate compensation secondary temperature supply control as the control strategy, changing the valve control of all heat exchange stations under the current new virtual network to climate compensation secondary temperature control or climate compensation secondary temperature supply, setting the secondary average temperature corresponding to 5°C, 0°C, -5°C, and -10°C, configuring the compensation temperature for 12 time periods, and sending it to the heat exchange station for temperature compensation ΔT to keep the average temperature of the secondary supply and return water consistent.

8. A system using the secondary supply and return average water temperature adjustment method based on the control algorithm as claimed in any one of claims 1 to 7, characterized in that: It includes data acquisition module, deviation analysis module and compensation control module; The data acquisition module collects the operating status and historical operation data of the heat exchange station in real time, collects external temperature data and sends it to the deviation analysis module, monitors the current average temperature of the secondary supply and return water, transmits the data to the deviation analysis module, and stores the historical data in the database; The deviation analysis module receives data from the data acquisition module, performs real-time statistics and analysis, calculates the deviation between the secondary supply and return water temperature and the historical heating situation, updates the deviation coefficient, makes real-time adjustments based on the deviation algorithm and feeds back to the compensation control module, and sends the deviation library information and control target obtained by the analysis to the compensation control module; The compensation control module receives the control target and deviation coefficient of the deviation analysis module, and selects to execute secondary temperature uniformity control or climate compensation control according to the real-time temperature data and external environmental change conditions, adjusts the settings of the heat exchange station, implements temperature compensation, ensures that the average temperature of the secondary supply and return water of the system is consistent, and feeds back the adjustment results to the data acquisition module for the next round of data acquisition and deviation analysis.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the secondary supply and return average water temperature regulation method based on the control algorithm described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the secondary supply and return average water temperature regulation method based on a control algorithm as described in any one of claims 1 to 7 are implemented.

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