A method for regulating an intelligent district heating system

Abstract

This invention relates to the field of heating, and more particularly to a method for regulating an intelligent district heating system. First, based on the acquired outdoor temperature data, a preliminary target value for the water supply temperature is calculated. Based on this target value, the actual water supply temperature is obtained through constraint verification and correction. Then, based on the acquired outdoor temperature, indoor temperature, and user-set temperature data, a fine-tuning algorithm for household flow rate is introduced to update the dynamic heat demand intensity coefficient. Based on the dynamic heat demand intensity coefficient, the target thermal power is obtained. Based on the target thermal power and the actual water supply temperature, the ideal circulation flow rate is calculated. Based on the ideal circulation flow rate, the target flow rate value is obtained. Finally, based on the target flow rate value, a valve opening percentage command is obtained and sent to the actuator. This method solves the technical problems of fixed water supply temperature operation not matching actual climate changes, lack of safety and operational boundary considerations in water supply temperature control, and the inability of centralized control to respond to users' differentiated heating characteristics.

Description

Technical Field

[0001] This invention relates to the field of heating, and more particularly to a method for regulating an intelligent district heating system. Background Technology

[0002] Intelligent district heating systems are a key component of modern urban energy infrastructure, aiming to improve the efficiency, stability, and energy conservation of heat supply through intelligent means. With the acceleration of urbanization, district heating systems face higher demands for intelligent regulation, no longer merely fulfilling the basic function of "heat transfer," but evolving towards "demand perception, autonomous regulation, and real-time optimization." Traditional district heating systems often employ fixed heating parameter control strategies, setting the primary network's water supply temperature and flow rate based on temperature forecasts, empirical curves, or fixed weighted models provided by meteorological departments. This results in significant "static lag" and "extensive regulation": on the one hand, it cannot respond to changes in the actual heat demand of buildings, leading to problems of "some users overheating while others don't"; on the other hand, under non-extreme weather conditions, the heating system still maintains high-load operation, causing energy waste and redundant carbon emissions. Furthermore, traditional heating systems often neglect heat losses during secondary network heat transfer, differences in thermal inertia of terminal buildings, and user behavior disturbances, resulting in a lack of fine-grained perception and feedback pathways for heating regulation. To address these issues, intelligent district heating systems have emerged. These systems utilize the Internet of Things, sensor networks, communication networks, and data-driven algorithms to comprehensively perceive and dynamically model the operating status of the heating network, meteorological changes, building thermal characteristics, and user heating behavior. Based on this, heating regulation strategies are optimized in real time to achieve "on-demand heating, dynamic regulation, and tiered control."

[0003] However, existing methods still have drawbacks, such as the fixed water supply temperature operation mode not matching actual climate change, the lack of safety and operational boundary considerations in water supply temperature control, and the inability of centralized control to respond to users' differentiated heating characteristics. Summary of the Invention

[0004] This invention provides an intelligent district heating system regulation method to address the problems of existing methods that generally adopt a constant water supply temperature mode, failing to dynamically adjust according to real-time changes in external air temperature, easily leading to a mismatch between the heating supply and the actual building heat load, resulting in energy waste or insufficient heating; existing methods neglect the safe operation requirements of heat exchangers and the system's ultimate capacity, which may lead to problems such as excessively low or high water supply temperatures; and existing methods adopt a uniform control strategy, ignoring differences in thermal inertia, building envelope, and heating habits of each building, resulting in coarse regulation granularity and uneven distribution at the terminal.

[0005] The present invention provides a method for regulating an intelligent district heating system, comprising the following steps:

[0006] S1. Acquire data; Calculate the initial target value for water supply temperature based on the outdoor temperature in the acquired data; Obtain the actual water supply temperature based on the initial target value for water supply temperature through constraint verification and correction;

[0007] S2. Based on the acquired outdoor temperature, indoor temperature, and user-set temperature, a fine-tuning algorithm for household flow is introduced to update the dynamic heat demand intensity coefficient; based on the dynamic heat demand intensity coefficient, the target heat power is obtained; based on the target heat power and the actual water supply temperature, the ideal circulating flow rate is calculated; based on the ideal circulating flow rate, the target flow rate value is obtained; according to the unique flow-opening nonlinear mapping relationship of each household's electric regulating valve, the target flow rate value is converted into a valve opening percentage command and sent to the actuator.

[0008] Preferably, S1 specifically includes:

[0009] Based on the obtained data of the heat exchange station's supply and return water temperatures, the user's actual heat power consumption is calculated; based on the outdoor temperature and introducing a reference supply water temperature, the preliminary target value of the supply water temperature is calculated using the following formula:

[0010] ;

[0011] in, Indicates at time The initial target value for water supply temperature; Indicates the reference water supply temperature; Indicates the slope coefficient; This indicates the outdoor design temperature for local heating systems. Indicates at time The outdoor temperature.

[0012] Preferably, S1 specifically includes:

[0013] Based on the return water temperature of the heat exchange station, the lower limit of the minimum allowable supply water temperature is calculated and compared with the minimum allowable supply water temperature of the district heating system. The maximum value is taken as the comprehensive lower limit.

[0014] Preferably, S1 specifically includes:

[0015] Based on the preliminary target value and comprehensive lower limit of water supply temperature, the actual water supply temperature is calculated using the following formula:

[0016] ;

[0017] in, Indicates at time The actual water supply temperature; This indicates taking the maximum value; Indicates at time The return water temperature; Indicates the minimum supply and return water temperature difference; This indicates the minimum permissible water supply temperature for the district heating system to operate; Indicates the maximum permissible water supply temperature for the district heating system; This indicates the lower limit of the overall index.

[0018] Preferably, S2 specifically includes:

[0019] Based on the user-set temperature and the indoor temperature, the deviation between the user-set temperature and the indoor temperature is obtained; the absolute value of the deviation is compared with the set threshold to obtain the updated dynamic heat demand coefficient.

[0020] Preferably, S2 specifically includes:

[0021] When the absolute value of the deviation is greater than the threshold, the dynamic thermal intensity coefficient remains unchanged.

[0022] Preferably, S2 specifically includes:

[0023] When the absolute value of the deviation is less than or equal to the threshold, the user-set temperature is subtracted from the outdoor temperature to obtain the effective driving temperature difference; based on the user's actual heat power consumption and the effective driving temperature difference, the observed value is calculated; based on the observed value and the dynamic heat demand intensity coefficient, the updated dynamic heat demand intensity coefficient is obtained.

[0024] Preferably, S2 specifically includes:

[0025] The target thermal power is calculated by multiplying the updated dynamic thermal intensity coefficient by the difference between the user-set temperature and the outdoor temperature.

[0026] Preferably, S2 specifically includes:

[0027] Based on the ideal circulating flow rate and the set minimum and maximum flow rates, upper and lower limits are imposed on the ideal circulating flow rate to obtain the target flow rate value.

[0028] The beneficial effects of the technical solution of the present invention are:

[0029] 1. By using the heat exchange station-side water supply temperature setting control logic based on linear climate compensation, the real-time outdoor temperature is used as the input variable to realize the heating system's immediate response to external climate changes. This replaces the traditional fixed temperature setting method, allowing the water supply temperature to automatically rise and fall with the climate, effectively achieving matching and adjustment of the heating load, thereby avoiding overheating and underheating problems and improving heating comfort and energy efficiency.

[0030] 2. Constraint verification and correction are introduced for the initial target value of water supply temperature to ensure that the heating system always operates within the allowable operating range of the heat exchanger, prevent the risk of failure such as scaling and freezing, ensure safe and stable operation, reduce manual intervention, and achieve more intelligent closed-loop regulation of water supply temperature.

[0031] 3. By adjusting the temperature control in real time during the constraint verification and correction phase, a more accurate actual water supply temperature is provided as a heat reference for the entire regional secondary network, which improves the responsiveness and efficiency of the entire heating network from the source. It is especially robust when there are large temperature fluctuations, and effectively reduces the probability of common faults such as overcurrent operation and low return water.

[0032] 4. By introducing a dynamic heat demand intensity coefficient, the structure is slowly updated through a first-order low-pass filter under steady-state conditions, which significantly enhances the characterization of the actual heat demand response capability of each building under different climatic conditions. This overcomes the errors and inapplicability of traditional heat demand inference based on static building parameters, and has long-term adaptability and engineering portability.

[0033] 5. By precisely matching heating supply with end-user demand, energy waste is reduced, control accuracy is improved, and automated operation of each regulation link is achieved, thereby reducing failure rate and improving response efficiency. Attached Figure Description

[0034] Figure 1 This is a flowchart of an intelligent district heating system regulation method according to the present invention. Detailed Implementation

[0035] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0037] The following description, in conjunction with the accompanying drawings, details a specific scheme for an intelligent district heating system regulation method provided by the present invention.

[0038] See attached document Figure 1 The diagram illustrates a flowchart of an intelligent district heating system regulation method according to an embodiment of the present invention, which includes the following steps:

[0039] S1. Acquire data; Calculate the initial target value of water supply temperature based on the outdoor temperature in the acquired data; Obtain the actual water supply temperature based on the initial target value of water supply temperature through constraint verification and correction.

[0040] Data acquisition, specifically, time data from the meteorological system. outdoor temperature Indoor temperature is measured using temperature and humidity sensors in each user's room. ,in, Indicates the first individual users at any time The indoor temperature; users can set the desired temperature independently via a digital temperature control panel installed indoors. To avoid areas prone to flow field disturbances, such as elbows and valves, high-precision insertion temperature sensors are installed on the primary main pipeline of the heat exchange station at a sufficient distance downstream of the straight sections of both the supply and return water pipes, in the middle of these areas. These sensors continuously monitor the supply water temperature of the heat exchange station. With return water temperature For each user, an ultrasonic heat meter conforming to industry high-precision standards is installed on the incoming heating branch pipe. The ultrasonic heat meter not only directly measures the volumetric flow rate of hot water passing through the user, but also... It can also calculate the user's current actual heat power consumption. The calculation formula is: ,in, Indicates the first individual users at any time The actual heat power consumed, This indicates the density of the circulating water in the heating system. This represents the specific heat capacity of water at constant pressure. Indicates the first individual users at any time hot water volume flow rate, Indicates the first individual users at any time The temperature difference between the supply and return water Indicates the first individual users at any time The actual water supply temperature, using time The water supply temperature of the heat exchange station approximate, Indicates the first individual users at any time The actual return water temperature, using time heat exchange station return water temperature approximate.

[0041] The heat exchange station-side water supply temperature setting and control logic based on linear climate compensation uses the real-time acquired outdoor temperature as the input variable. Through a pre-calibrated linear relationship, it dynamically calculates the initial target water supply temperature for the current moment. Subsequently, through constraint verification and correction, it ultimately generates an executable water supply temperature command, i.e., the temperature at time [time missing]. The actual water supply temperature is used by the heat exchange station controller to track and execute the data.

[0042] Obtaining the current outdoor temperature represents the instantaneous state of the external climate environment of the building complex. The outdoor temperature is then compared with the local heating design outdoor calculation temperature, which is the average daily temperature over the years without a guarantee of 5 days. This difference yields a temperature difference that characterizes the degree to which the current climate deviates from the most unfavorable operating conditions. The temperature difference is then multiplied by a predetermined slope coefficient, which reflects the magnitude by which the water supply temperature should be adjusted in the opposite direction for every 1 degree Celsius change in outdoor temperature. That is, if the outdoor temperature increases, the water supply temperature should decrease, and vice versa. The product is then added to a baseline water supply temperature to obtain the initial target value for the water supply temperature.

[0043] The formula for calculating the initial target water supply temperature is:

[0044] ;

[0045] in, Indicates at time The initial target value for water supply temperature; The reference water supply temperature is used to indicate the minimum guaranteed water supply temperature under the local heating design outdoor temperature conditions. The reference water supply temperature corresponds to the water supply temperature level required under the coldest design conditions. It is derived from the actual operating average of the coldest period in history. By collecting daily minimum temperature data from meteorological stations, the daily minimum temperature of the coldest day of each year is found, and the average temperature of the coldest day within the statistical period is calculated to obtain the actual operating average of the coldest period in history. This represents the slope coefficient, which determines the rate at which the water supply temperature increases as the air temperature decreases. It is obtained during the commissioning phase of the district heating system by fitting the optimal operating curve of outdoor temperature versus water supply temperature. This indicates the outdoor design temperature for local heating, which is the average daily temperature over the years without a 5-day guarantee. Indicates at time The outdoor temperature; It is a temperature difference that characterizes the degree to which the current climate deviates from the most unfavorable operating conditions.

[0046] After obtaining the initial target value for the water supply temperature, the constraint verification and correction phase immediately begins: The current return water temperature of the heat exchange station is read. The minimum allowable supply water temperature is calculated based on the minimum supply and return water temperature difference required for safe operation of the heat exchanger. Simultaneously, the minimum allowable supply water temperature for the district heating system, set in the design, commissioning, or operation procedures, is obtained, taking into account antifreeze, anti-scaling, and the minimum effective heat dissipation requirements of the terminal radiators, as another minimum allowable supply water temperature lower limit. The larger of these two values ​​constitutes the comprehensive lower limit. The initial supply water temperature target value is compared with the comprehensive lower limit and the maximum allowable supply water temperature of the district heating system, i.e., the upper limit. If the initial supply water temperature target value falls within the upper or lower limit range, it is directly adopted as the final control target. If it is lower than the comprehensive lower limit, it is forcibly raised to the comprehensive lower limit value; if it is higher than the upper limit, it is forcibly lowered to the upper limit value, thus obtaining the actual supply water temperature. The formula is as follows:

[0047] ;

[0048] in, This indicates taking the maximum value; Indicates at time The return water temperature; This indicates the minimum supply and return water temperature difference, which is the minimum driving force to ensure heat exchange and prevent heating failure. It is provided by the heat exchanger thermal selection or the manufacturer. This indicates the minimum permissible water supply temperature for the district heating system to operate; Indicates at time The actual water supply temperature; This indicates the maximum allowable water supply temperature for a district heating system, i.e., the upper limit, which is limited by the heat source capacity, pipe temperature resistance, and valve and radiator materials. This indicates the lower limit of the overall index.

[0049] It automatically, dynamically, and rationally matches the building's heat load demand according to outdoor climate conditions, avoiding the common problems of large flow rate, small temperature difference, or excessive heating in traditional fixed water supply temperature modes.

[0050] S2. Based on the acquired outdoor temperature, indoor temperature, and user-set temperature, a fine-tuning algorithm for household flow is introduced to update the dynamic heat demand intensity coefficient. Based on the dynamic heat demand intensity coefficient, the target heat power is obtained. Based on the target heat power and the actual water supply temperature, the ideal circulating flow rate is calculated. Based on the ideal circulating flow rate, the target flow rate value is obtained. According to the unique flow-opening nonlinear mapping relationship of each household's electric regulating valve, the target flow rate value is converted into a valve opening percentage command and sent to the actuator.

[0051] A fine-tuning algorithm for household flow rate is introduced. This algorithm slowly updates the dynamic heat demand coefficient online, combining the user-set temperature and outdoor temperature to calculate the target heat power. Further, the ideal circulating flow rate is calculated, and upper and lower limits are imposed on this flow rate to obtain the target flow rate value. Based on the unique flow-opening nonlinear mapping relationship of each household's electric control valve, the target flow rate value, constrained by the upper and lower limits, is converted into a corresponding valve opening percentage command and sent to the actuator.

[0052] The fine-tuning algorithm for household flow first enters a judgment phase to determine whether the dynamic heat demand intensity coefficient needs to be updated. This is done by calculating the deviation between the user-set temperature and the indoor temperature at the current moment, and comparing the absolute value of the deviation with a pre-calibrated threshold. This threshold represents the standard for judging whether the indoor temperature is sufficiently close to a stable operating state. When the absolute value of the deviation is less than or equal to the threshold, the currently measured heat power is considered to have high reliability, the system is in near-steady-state operation, and can realistically reflect the steady-state heat demand characteristics of the building under the current climate conditions. Only then is updating the dynamic heat demand intensity coefficient allowed. When the absolute value of the deviation is greater than the threshold, i.e., in the non-steady-state stage, the dynamic heat demand intensity coefficient is kept unchanged from the previous value. Frequent updates in the non-steady-state stage can easily cause the dynamic heat demand intensity coefficient to fluctuate repeatedly with the room temperature deviation, leading to continuous fluctuations in the target heat power, ideal circulation flow rate, and valve opening percentage commands, ultimately reducing the stability of household regulation and even causing unnecessary oscillations.

[0053] When the above conditions are met, a slow update of the dynamic heat demand intensity coefficient is performed. The specific update method employs a first-order low-pass filter structure: the observed value is the ratio of the current actual heat power consumption to the effective driving temperature difference plus a very small positive number. The effective driving temperature difference is the user-set temperature minus the outdoor temperature, and a very small positive number is added to the effective driving temperature difference to avoid a zero denominator. The observed value is compared with the previous dynamic heat demand intensity coefficient, the difference is calculated, and then multiplied by a very small update rate coefficient to obtain the allowable increment. This increment is added to the previous dynamic heat demand intensity coefficient to form the updated dynamic heat demand intensity coefficient. By comparing the current observed value with the previous dynamic heat demand intensity coefficient, parameters are only allowed to be slowly corrected according to a certain proportion, allowing the dynamic heat demand intensity coefficient to gradually converge towards the true heat demand characteristics, rather than jumping instantaneously. This gradual update method ensures the continuity and controllability of parameter changes, avoiding drastic fluctuations due to single measurement errors or short-term disturbances, thereby improving the stability and robustness of the entire heating regulation system. The filtering method with a very small update rate coefficient ensures that the dynamic heat demand intensity coefficient can only follow changes in actual operating conditions extremely slowly. This naturally provides strong noise resistance and stability, avoiding drastic fluctuations caused by occasional disturbances such as short-term window opening, cooking, or direct sunlight. The dynamic heat demand intensity coefficient is only allowed to be updated when the indoor temperature is close to the user-set temperature and the system is operating in near-steady-state conditions. The small update rate gradually corrects new observations, effectively filtering out transient heat power fluctuations caused by short-term disturbances, such as changes in internal heat sources from user window ventilation, human activity, cooking, and solar radiation. These factors are typically short-lived and highly volatile, failing to accurately reflect the stable heat demand characteristics determined by the building envelope and climatic conditions. Because the dynamic heat demand intensity coefficient is adjusted slowly in small steps, the impact of transient anomalies on the parameters is significantly weakened. This avoids misinterpreting occasional disturbances as long-term heat demand changes, ensuring that heat demand parameters always reflect the stable heat load level of the building under current climatic conditions, improving the stability, robustness, and control accuracy of the system.

[0054] The slow update formula for the dynamic heat demand intensity coefficient is:

[0055] ;

[0056] in, Indicates the first individual users at any time The dynamic heat demand intensity coefficient, i.e. the updated dynamic heat demand intensity coefficient; Indicates the first individual users at any time The dynamic heat demand intensity coefficient, i.e. the previous dynamic heat demand intensity coefficient; This represents the update rate coefficient, which determines the speed of adaptation. The smaller the value, the smoother and more conservative the response; the larger the value, the faster the response but may cause jitter. It should be determined based on on-site debugging. Indicates the first individual users at any time User-defined temperature; Indicates at time The outdoor temperature; Indicates the effective driving temperature difference; This prevents division by zero of extremely small positive numbers with a denominator of zero, thus avoiding division by zero errors, such as... ; The actual heat power consumed represents the heat actually absorbed by the user under the current operating conditions, while the effective driving temperature difference represents the outdoor climate load that needs to be overcome to maintain the set temperature indoors. The ratio of the two is equivalent to the heat demand intensity required per unit temperature difference, which can truly depict the comprehensive influencing factors such as the thermal performance of the building envelope, the level of infiltration and ventilation, and user habits. In contrast, the traditional room temperature deviation only reflects the instantaneous temperature error and is difficult to reflect the thermal inertia and load characteristics of the system. This indicates the increment allowed for this change; The threshold value is pre-defined in the engineering process. Indicates the first individual users at any time The deviation between the user-set temperature and the indoor temperature.

[0057] Based on the updated dynamic heat demand intensity coefficient, multiplied by the difference between the current user-set temperature and the outdoor temperature, the target heat power that should be provided to maintain the user-set temperature under the current climatic conditions is calculated. The calculation formula is as follows:

[0058] ;

[0059] in, This indicates the value estimated at time [time] based on the dynamic heat demand intensity coefficient. The target thermal power to be achieved.

[0060] Divide the target thermal power by the value at time 1 The difference between the actual supply water temperature and the user's actual return water temperature is divided by the product of the density of the heating circulating water and the specific heat capacity of water at constant pressure to obtain the theoretically required ideal circulation flow rate. The calculation formula is as follows:

[0061] ;

[0062] in, This represents the number of elements required to meet the currently estimated target thermal power. individual users at any time Ideal circulating flow rate; Indicates the first individual users at any time The actual return water temperature; This indicates the density of the circulating water in the heating system. This represents the specific heat capacity of water at constant pressure.

[0063] After obtaining the ideal circulation flow rate, upper and lower limits are imposed on it, constraining it between the allowable minimum and maximum flow rates. The minimum flow rate is determined based on the requirements for freeze protection or maintaining minimum circulation, while the maximum flow rate is determined by the design flow rate or pipeline capacity. If the ideal circulation flow rate falls between the minimum and maximum flow rates, it is directly used as the target flow rate value. If the ideal circulation flow rate is lower than the minimum flow rate, it is forcibly increased to the minimum flow rate. If the ideal circulation flow rate is higher than the maximum flow rate, it is forcibly reduced to the maximum flow rate to obtain the target flow rate value.

[0064] Based on the unique flow-opening nonlinear mapping relationship of each household's electric control valve, the characteristic curve provided by the manufacturer or obtained through on-site calibration is used to convert the target flow value constrained by upper and lower limits into the corresponding valve opening percentage command and send it to the actuator.

[0065] All physical quantities used in this article are dimensionless quantities after normalization processing such as maximum-minimum normalization.

[0066] In summary, a method for regulating an intelligent district heating system has been developed.

[0067] The order of the embodiments is for illustrative purposes only and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0068] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0069] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for regulating an intelligent district heating system, characterized in that, Includes the following steps: S1. Acquire data; Based on the acquired data of the heat exchange station's supply and return water temperatures, calculate the user's actual heat power consumption; Based on the acquired data of the outdoor temperature, calculate the preliminary target value for the supply water temperature; Based on the return water temperature of the heat exchange station, the lower limit of the minimum allowable supply water temperature is calculated and compared with the minimum allowable supply water temperature of the district heating system. The maximum value is taken as the comprehensive lower limit. Based on the initial target value and comprehensive lower limit of water supply temperature, the actual water supply temperature is obtained through constraint verification and correction. S2. Based on the acquired outdoor temperature, indoor temperature, and user-set temperature, a fine-tuning algorithm for household flow is introduced to update the dynamic heat demand intensity coefficient. Specifically, based on the user-set temperature and indoor temperature, the deviation between them is obtained, and the absolute value of the deviation is compared with a set threshold. When the absolute value of the deviation is less than or equal to the threshold, the user-set temperature is subtracted from the outdoor temperature to obtain the effective driving temperature difference. Based on the user's actual heat power consumption and the effective driving temperature difference, the observed value is calculated. Based on the observed value and the dynamic heat demand intensity coefficient, the updated dynamic heat demand intensity coefficient is obtained. Based on the dynamic heat demand intensity coefficient, the target heat power is obtained. Based on the target heat power and the actual water supply temperature, the ideal circulating flow rate is calculated. Based on the ideal circulating flow rate, the target flow rate value is obtained. According to the unique flow-opening nonlinear mapping relationship of each household's electric regulating valve, the target flow rate value is converted into a valve opening percentage command and sent to the actuator.

2. The intelligent district heating system regulation method according to claim 1, characterized in that, S1 specifically includes: Based on the outdoor temperature, and using the reference water supply temperature, the initial target value for the water supply temperature is calculated using the following formula: ； in, Indicates at time The initial target value for water supply temperature; Indicates the reference water supply temperature; Indicates the slope coefficient; This indicates the outdoor design temperature for local heating systems. Indicates at time The outdoor temperature.

3. The intelligent district heating system regulation method according to claim 2, characterized in that, S1 specifically includes: Based on the preliminary target value and comprehensive lower limit of water supply temperature, the actual water supply temperature is calculated using the following formula: ； in, Indicates at time The actual water supply temperature; This indicates taking the maximum value; Indicates at time The return water temperature; Indicates the minimum supply and return water temperature difference; This indicates the minimum permissible water supply temperature for the district heating system to operate; Indicates the maximum permissible water supply temperature for the district heating system; This indicates the lower limit of the overall index.

4. The intelligent district heating system regulation method according to claim 1, characterized in that, S2 specifically includes: When the absolute value of the deviation is greater than the threshold, the dynamic thermal intensity coefficient remains unchanged.

5. The intelligent district heating system regulation method according to claim 1, characterized in that, S2 specifically includes: The target thermal power is calculated by multiplying the updated dynamic thermal intensity coefficient by the difference between the user-set temperature and the outdoor temperature.

6. The method for regulating an intelligent district heating system according to claim 1, characterized in that, S2 specifically includes: Based on the ideal circulating flow rate and the set minimum and maximum flow rates, upper and lower limits are imposed on the ideal circulating flow rate to obtain the target flow rate value.

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