Hydraulic balance adjusting method and system

Abstract

The invention provides a hydraulic balance adjusting method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, dividing buildings into independent adjusting groups according to the thermal insulation performance difference of the buildings, and determining a representative building for each group; a third pressure sensor is fixed on a water return pipeline, a first pressure sensor is fixed on a heat source outlet pipeline, and a second pressure sensor is fixed on a heat exchange station inlet pipeline; step 2, recording and setting group target water flow based on each group of historical water flow, and acquiring main line pressure variation between the first pressure sensor and the second pressure sensor in real time; by grouping according to the building thermal insulation performance, deploying the sensors to monitor the pressure in real time, combining historical flow and pipe network distance dynamic compensation, and based on temperature deviation and actually measured flow closed-loop optimization, accurate hydraulic balance regulation and control are achieved, heat supply uniformity is improved, energy consumption is reduced, system stability is enhanced, and the service life of equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a hydraulic balance adjustment method and system. Background Art

[0002] During the winter heating peak season, the centralized heating systems in large residential areas often experience uneven water flow demands on each branch due to differences in building structure and insulation performance, as well as different usage habits of users on each floor. Frequent fluctuations in outdoor temperature may further exacerbate the complex changes in heating demand. At present, the traditional manual adjustment method has some technical defects in the hydraulic balance adjustment of the central heating system.

[0003] First, the adjustment efficiency is usually low. Operators need to check and manually adjust the valves of each building or floor one by one. The process is cumbersome and time-consuming. When the demand for heating increases sharply, manual adjustment may not be able to respond quickly, resulting in insufficient heating in some areas.

[0004] Secondly, due to the limitations of human operation, manual adjustment makes it difficult to accurately control the water flow of each branch, which to a certain extent causes hydraulic imbalance in the system. This imbalance may cause some buildings or floors to overheat due to excessive water flow. Users may need to open windows for ventilation to lower the indoor temperature, resulting in energy waste; while other buildings or floors may also have insufficient heating due to insufficient water flow, affecting the user's living comfort.

[0005] Third, manual adjustments often lack real-time monitoring of system water flow conditions and effective feedback mechanisms, making it difficult for operators to promptly monitor changes in water flow across branches and accurately assess the effectiveness of adjustments. If anomalies such as valve blockages or pipe leaks occur, manual adjustments may not be able to detect and address them in a timely manner, risking further exacerbation and negatively impacting the stability and reliability of the entire heating system. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a hydraulic balance adjustment method and system, which improves the adjustment efficiency, can quickly respond to changes in heating demand, and reduce the situation of insufficient heating in some buildings or floors.

[0007] In order to solve the above technical problems, the technical solutions of the present invention are as follows: In a first aspect, a hydraulic balance adjustment method is provided, the method comprising: Step 1: Divide the buildings into independent adjustment groups according to their thermal insulation performance, and determine a representative building for each group; fix a third pressure sensor on the return pipe, a first pressure sensor on the heat source outlet pipe, and a second pressure sensor on the heat exchange station inlet pipe; Step 2: setting a group target water flow rate based on each group of historical water flow records, and obtaining a trunk pressure change between the first pressure sensor and the second pressure sensor in real time; Step 3: Calculate the branch pressure variation of each group of representative buildings independently. When the deviation between the branch pressure variation and the main pressure variation of any group exceeds the dynamic stability range, generate a benchmark compensation value for the representative building. Step 4: Determine the position compensation intensity level based on the pipe network distance from the representative building to the farthest building in the group, and generate compensation values ​​for each building in the group; Step 5: The group target water flow is superimposed on the compensation value of each building in the group to generate a group correction water flow instruction. The return water pipe regulating valves of the buildings in the group are driven by the group to execute the group correction water flow instruction. The return water temperature of the representative building is collected. When the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted in the direction of the deviation to obtain the adjusted intensity level. Step 6: Regenerate the compensation value for each building in the group based on the adjusted intensity level, and execute the group corrected water flow instruction and valve drive operation; if the actual water flow value deviates from the group corrected water flow instruction, recalculate the pressure change of the corresponding group representative building branch and update the baseline compensation value.

[0008] Furthermore, a group target water flow rate is set based on each group of historical water flow records, and a change in the main pressure between the first pressure sensor and the second pressure sensor is obtained in real time, including: For the energy-saving building group, the target water flow rate is set using the first proportional coefficient of the historical flow average; for the non-energy-saving building group, the target water flow rate is set using the second proportional coefficient of the historical flow average; the first proportional coefficient is less than 1.0, and the second proportional coefficient is greater than 1.0; The pressure data of the first pressure sensor and the second pressure sensor are collected in real time, and the pressure difference between two adjacent fixed time sampling points is calculated as the trunk pressure change.

[0009] Furthermore, the branch pressure variation of each group of representative buildings is calculated independently. When the deviation between the branch pressure variation of any group and the main pressure variation exceeds the dynamic stability range, a benchmark compensation value for the representative building is generated, including: Based on the branch pressure fluctuation characteristics within the preset monitoring period, the preset monitoring period pressure extreme value interval is used as the dynamic stability range; When the deviation between the pressure change of any group of branches and the pressure change of the main line exceeds the dynamic stability range, a representative building benchmark compensation value is generated based on the deviation amplitude and the compensation ratio of the group target water flow, and the compensation ratio of the group target water flow includes a first proportional coefficient and a second proportional coefficient.

[0010] Furthermore, based on the pipe network distance from the representative building to the farthest building in the group, the position compensation intensity level is determined, and the compensation value for each building in the group is generated, including: Buildings within 100 meters from the heat exchange station are defined as short-distance areas, matching intensity level 1, and the compensation value is a fusion of the representative building's benchmark compensation value and the first intensity coefficient, with the first intensity coefficient being less than 1.0; buildings between 100 and 300 meters from the heat exchange station are defined as medium-distance areas, matching intensity level 2, and the compensation value directly uses the representative building's benchmark compensation value; buildings more than 300 meters from the heat exchange station are defined as long-distance areas, matching intensity level 3, and the compensation value is a fusion of the benchmark compensation value and the second intensity coefficient, with the second intensity coefficient being greater than 1.0; According to the matching strength rules of the area to which the building belongs, independent compensation values ​​for each building are calculated and generated.

[0011] Furthermore, the group target water flow is superimposed on the compensation value of each building in the group to generate a group correction water flow instruction, and the return water pipe regulating valves of the buildings in the group are driven by the group to execute the group correction water flow instruction; the return water temperature of the representative building is collected. When the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted according to the deviation direction, and the adjusted intensity level is obtained, including: The group target water flow and the compensation value of each building in the group are superimposed one by one to generate a group correction water flow instruction, and the return pipe regulating valves of the buildings in the group are driven to execute the instruction in the order of long distance area, medium distance area, and short distance area; Real-time data collection of the return water temperature of the representative building and the heat exchange station. When the return water temperature of the representative building is lower than the return water temperature of the heat exchange station and the difference exceeds the preset temperature threshold, the intensity level of the long-distance area is adjusted to the new level 3. When the return water temperature of the representative building is higher than the return water temperature of the heat exchange station and the difference exceeds the preset temperature threshold, the intensity level of the short-distance area is adjusted to the new level 1. Intensity level one and intensity level three are used as the adjusted new intensity levels.

[0012] Furthermore, the second intensity coefficient of the new level three is the sum of the original second intensity coefficient and a preset adjustment value; and the first intensity coefficient of the new level one is the difference between the original first intensity coefficient and the preset adjustment value.

[0013] Furthermore, based on the adjusted intensity level, the compensation value for each building in the group is regenerated, and the group corrected water flow instruction and valve drive operation are executed; if the measured water flow value deviates from the group corrected water flow instruction, the pressure change of the branch of the corresponding group representative building is recalculated and the baseline compensation value is updated, including: Based on the adjusted new intensity level, for buildings within 100 meters of the heat exchange station, the first intensity coefficient of the new intensity level 1 is used to calculate the compensation value; for buildings between 100 and 300 meters away from the heat exchange station, the representative building benchmark compensation value is directly used as the compensation value; for buildings more than 300 meters away from the heat exchange station, the second intensity coefficient of the new intensity level 3 is used to calculate the compensation value, and the newly generated compensation value for each building is obtained; The regenerated compensation value of each building is superimposed on the group target water flow building by building to form an updated group corrected water flow instruction. Based on the updated group corrected water flow instruction, the return pipe regulating valves of the buildings in the group are driven in the order of long-distance area, medium-distance area, and short-distance area. After the control valve is driven, the measured water flow values ​​of each building are collected in real time. When the deviation between the measured water flow value of any building and the updated group-corrected water flow instruction exceeds the allowable error range, the pressure change of the branch representing the corresponding group building is recalculated; Based on the recalculated branch pressure change, combined with the deviation amplitude of the main line pressure change and the compensation ratio of the group target water flow, the representative building benchmark compensation value is updated.

[0014] In a second aspect, a hydraulic balance regulation system includes: The building grouping module is used to divide the buildings into independent adjustment groups according to their thermal insulation performance, determine the representative building for each group, and fix corresponding pressure sensors on the return pipe, heat source outlet pipe, and heat exchange station inlet pipe; a target flow setting module, configured to set a target water flow based on each set of historical water flow records, and obtain a change in mains pressure between the first pressure sensor and the second pressure sensor in real time; The pressure deviation calculation module is used to independently calculate the branch pressure change of each group of representative buildings. When the deviation between the branch pressure change and the main line pressure change exceeds the dynamic stability range, a benchmark compensation value for the representative building is generated; The position compensation intensity module is used to determine the position compensation intensity level based on the pipe network distance from the representative building to the farthest building in the group, and generate the compensation value for each building in the group; The water flow instruction generation module is used to add the group target water flow to the compensation value of each building in the group to generate a group corrected water flow instruction, which drives the return water pipe regulating valves of the buildings in the group to execute the instruction; the return water temperature of the representative building is collected, and when the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted according to the deviation direction; The compensation value update module is used to regenerate the compensation value of each building in the group based on the adjusted intensity level, execute the group correction water flow instruction and valve drive operation; if the actual water flow value deviates from the group correction water flow instruction, recalculate the pressure change of the corresponding group representative building branch and update the baseline compensation value.

[0015] According to a third aspect, a computing device includes: one or more processors; The storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method.

[0016] In a fourth aspect, a computer-readable storage medium stores a program, which implements the method when executed by a processor.

[0017] The above solution of the present invention includes at least the following beneficial effects: By dividing independent adjustment groups according to building insulation performance and deploying pressure sensors, targeted monitoring of heating conditions in different characteristic areas is achieved. Compared with traditional manual adjustment, this improves adjustment efficiency, can quickly respond to changes in heating demand, and reduce the situation of insufficient heating in some buildings or floors. Secondly, the target water flow rate of the group is set based on historical water flow, and the compensation value is calculated according to the pressure change. The water flow of each branch is precisely controlled, which effectively improves the problem of insufficient precision of traditional manual adjustment, avoids energy waste and reduced user comfort caused by hydraulic imbalance, and ensures both heating effect and energy saving and consumption reduction.

[0018] A real-time monitoring and feedback mechanism has been established. By collecting pressure and temperature data and dynamically adjusting the compensation intensity level, operators can promptly monitor the system's water flow conditions and assess the effectiveness of regulation. Any anomalies can be quickly identified and addressed, effectively ensuring the stability and reliability of the heating system and reducing the risk of system failures caused by valve blockages, pipe leaks, and other issues. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of a hydraulic balance adjustment method provided by an embodiment of the present invention.

[0020] Figure 2 It is a schematic diagram of a hydraulic balance regulation system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0021] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0022] like Figure 1 As shown, an embodiment of the present invention provides a hydraulic balance adjustment method, which includes the following steps: Step 1: Divide the buildings into independent adjustment groups according to their thermal insulation performance, and determine a representative building for each group; fix a third pressure sensor on the return pipe, a first pressure sensor on the heat source outlet pipe, and a second pressure sensor on the heat exchange station inlet pipe; Step 2: setting a group target water flow rate based on each group of historical water flow records, and obtaining a trunk pressure change between the first pressure sensor and the second pressure sensor in real time; Step 3: Calculate the branch pressure variation of each group of representative buildings independently. When the deviation between the branch pressure variation and the main pressure variation of any group exceeds the dynamic stability range, generate a benchmark compensation value for the representative building. Step 4: Determine the position compensation intensity level based on the pipe network distance from the representative building to the farthest building in the group, and generate compensation values ​​for each building in the group; Step 5: The group target water flow is superimposed on the compensation value of each building in the group to generate a group correction water flow instruction. The return water pipe regulating valves of the buildings in the group are driven by the group to execute the group correction water flow instruction. The return water temperature of the representative building is collected. When the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted in the direction of the deviation to obtain the adjusted intensity level. Step 6: Regenerate the compensation value for each building in the group based on the adjusted intensity level, and execute the group corrected water flow instruction and valve drive operation; if the actual water flow value deviates from the group corrected water flow instruction, recalculate the pressure change of the corresponding group representative building branch and update the baseline compensation value.

[0023] In an embodiment of the present invention, regulation groups are divided according to building insulation performance and pressure sensors are deployed, enabling refined zoning management of the heating system. Pressure data for different areas can be obtained in real time, improving monitoring efficiency compared to traditional methods. By setting group target water flows based on historical water flow rates and combining this with real-time monitoring of mainline pressure changes, the system can dynamically plan water flow allocation targets based on historical patterns and current conditions. By calculating the deviation between branch and mainline pressure changes to generate a baseline compensation value, hydraulic anomalies in each area can be detected, allowing for timely generation of compensation strategies, effectively avoiding localized heat supply imbalances and improving heat supply uniformity.

[0024] The position compensation intensity level is determined based on the distance to the pipeline network, fully considering the difference in water flow loss during pipeline transmission. Compensation values ​​are accurately allocated to buildings at different distances to reduce energy waste during transmission and achieve energy saving and efficiency improvement. The compensation values ​​are superimposed to generate a corrected water flow instruction and drive the regulating valve to execute. At the same time, the compensation intensity level is adjusted according to the temperature deviation, building a "monitoring-regulation-feedback" closed-loop control mechanism that can quickly respond to changes in heating demand and ensure the stability of the heating temperature in each building. The compensation value is regenerated based on the adjusted intensity level and optimized again based on the measured deviation of the water flow. The adjustment strategy is continuously iterated to ensure that the heating system is always in an efficient and stable operating state, effectively reducing the risk of system failure and improving overall operational reliability.

[0025] In a preferred embodiment of the present invention, step 1, dividing buildings into independent adjustment groups according to differences in building insulation performance and determining a representative building for each group; fixing a third pressure sensor in the return pipe, fixing a first pressure sensor in the heat source outlet pipe, and fixing a second pressure sensor in the heat exchange station inlet pipe; and step 2, setting a group target water flow rate based on each group of historical water flow records and obtaining a real-time change in the mains pressure between the first pressure sensor and the second pressure sensor, may include: Step 200: For the energy-saving building group, the target water flow rate is set using a first proportional coefficient of the historical flow rate average; for the non-energy-saving building group, the target water flow rate is set using a second proportional coefficient of the historical flow rate average; the first proportional coefficient is less than 1.0, and the second proportional coefficient is greater than 1.0; Step 201 : collecting pressure data from the first pressure sensor and the second pressure sensor in real time, and calculating the pressure difference between two adjacent fixed time sampling points as the trunk line pressure variation.

[0026] In this embodiment of the present invention, the insulation performance of all buildings in a residential complex is first assessed through a combination of on-site surveys and data review. The survey includes parameters such as the exterior wall insulation material (e.g., EPS board, rock wool), thickness (measured using an ultrasonic thickness gauge), exterior window type (thermal aluminum, standard aluminum alloy), airtightness level (tested using a blast door), and roof insulation structure. Based on this data, buildings with a heat transfer coefficient ≤ 0.6 W / (m2・K) are classified as energy-efficient buildings, while those with a heat transfer coefficient > 0.6 W / (m2・K) are classified as non-energy-efficient buildings. Three representative buildings with typical characteristics are selected for each group: the energy-efficient group prioritizes buildings with intact insulation, high airtightness of exterior windows, and locations in the middle of the pipe network; the non-energy-efficient group selects buildings with aging insulation, severe air leakage from exterior windows, and locations near the end of the pipe network.

[0027] During sensor installation, the third pressure sensor is fixed to a straight section of the return main, at a distance of at least eight pipe diameters from the nearest valve or elbow to prevent flow disturbances from affecting measurement accuracy. The first pressure sensor is installed behind the pressure regulator at the heat source outlet to ensure stable source pressure. The second pressure sensor is located before the flow control valve at the heat exchange station entrance to monitor the mainline pressure entering the station. All sensors must be calibrated using a standard pressure source before installation and connected to the fieldbus system to enable real-time data transmission and storage.

[0028] In step 200, the system automatically retrieves hourly water flow data for each regulation group over the past five winter months (December 1st to February 28th), categorizes and organizes it by date type (weekday / weekend) and weather condition (sunny / rainy / snowy / cold wave). After excluding data from unusual periods such as equipment failures and pipe network maintenance, the system calculates the average flow rate for each category.

[0029] For the energy-saving building group, take the historical flow average and multiply it by the first proportional coefficient of 0.75-0.85 (for example, if the historical average of an energy-saving group is 180m³ / h and the coefficient is 0.8, the target flow is 144m³ / h); For the non-energy-saving building group, the historical mean is multiplied by the second proportional coefficient of 1.1-1.2 (for example, if the historical mean of the non-energy-saving group is 150 m³ / h, the coefficient is 1.15, and the target flow rate is 172.5 m³ / h).

[0030] On the 1st of each month, the coefficient is dynamically adjusted based on the room temperature monitoring data of the previous month: if the room temperature compliance rate of the energy-saving group does not meet expectations, the coefficient will be increased by 0.05; if there are a large number of households in the non-energy-saving group with low room temperature, the coefficient will be increased by 0.03, otherwise it will be decreased.

[0031] In step 201, the monitoring system synchronously collects real-time data from the first and second pressure sensors at a fixed sampling period of 10 minutes. After each sampling period, the system automatically extracts the pressure value from the previous period and calculates the difference between the two adjacent points. For example, if the pressure of the first sensor at time t is 0.40 MPa and the pressure of the second sensor is 0.37 MPa; at time t+10 minutes, the pressure of the first sensor is 0.39 MPa and the pressure of the second sensor is 0.36 MPa, then the mainline pressure change is [(0.39 - 0.40) + (0.36 - 0.37)] ÷ 2 = -0.01 MPa. If the water supply temperature changes by more than 2°C between two sampling intervals, the system corrects the pressure difference using a temperature and pressure compensation model to avoid misjudgments caused by temperature fluctuations. The system also implements a three-level early warning mechanism: a warning is issued when the pressure change exceeds ±0.01 MPa, emergency adjustment is initiated when it exceeds ±0.02 MPa, and a fault alarm is triggered when it exceeds ±0.03 MPa.

[0032] By adjusting the heat insulation performance of the buildings in groups, the energy-saving building group can reduce the water flow while ensuring that the indoor temperature remains stable and meets the standard. The non-energy-saving building group has significantly improved the previous problem of insufficient heating by reasonably increasing the flow, and has achieved precise control of "heating on demand". The target flow setting based on historical data and real-time monitoring avoids the energy waste of the traditional "high flow, small temperature difference" operating mode, significantly reduces the energy consumption of the circulation pump, and makes better use of the heat output of the heat source. Real-time monitoring of main line pressure changes combined with temperature compensation calculations enables the system to quickly capture pipe network anomalies (such as leaks and blockages), take regulatory measures in advance, shorten the time for fault detection and processing, and ensure the stable operation of the heating system. Accurate pressure monitoring and flow control reduce the losses caused by hydraulic shock in the pipe network and frequent equipment adjustments. The operating life of equipment such as pipes, valves and circulation pumps is significantly extended, and the frequency of maintenance and inspections is greatly reduced.

[0033] In a preferred embodiment of the present invention, the above step 3, independently calculating the branch pressure variation of each group of representative buildings, and generating a representative building benchmark compensation value when the deviation between the branch pressure variation of any group and the main pressure variation exceeds the dynamic stability range, may include: Step 300, based on the branch pressure fluctuation characteristics within a preset monitoring period, taking the preset monitoring period pressure extreme value interval as the dynamic stability range; Step 301: When the deviation between the pressure change of any group of branches and the pressure change of the main line exceeds the dynamic stability range, a representative building benchmark compensation value is generated based on the deviation amplitude and the compensation ratio of the group target water flow, and the compensation ratio of the group target water flow includes a first proportional coefficient and a second proportional coefficient.

[0034] In this embodiment of the present invention, a monitoring cycle is first set to 7 days, and real-time branch pressure data for each representative building group within that period is retrieved (collected every 10 minutes). For example, the branch pressure data for a representative building in a particular energy-saving group is organized into a sequence of 1008 data points. The system automatically calculates the maximum pressure (e.g., 0.38 MPa) and minimum pressure (e.g., 0.32 MPa) in this sequence, thereby determining a dynamic stability range of 0.32-0.38 MPa. If historical data indicates periodic pressure fluctuations (e.g., regular fluctuations during daily peak hours), the data is further divided into time periods (e.g., weekdays / weekends, daytime / nighttime), and the extreme value intervals for each time period are calculated, forming a more refined dynamic stability range matrix.

[0035] In step 301, when the branch pressure change of a building representing a non-energy-saving group is 0.05 MPa, while the main pressure change during the same period is 0.02 MPa, and the deviation of the two is 0.03 MPa, which exceeds the upper limit of the dynamic stability range of the group (0.02 MPa), the system starts the compensation calculation. The deviation amplitude is 0.03 MPa, and the corresponding group target water flow is 150 m³ / h. According to the second proportional coefficient of 1.15 for the non-energy-saving group, the baseline compensation value = deviation amplitude × group target water flow × proportional coefficient, that is, 0.03 × 150 × 1.15 = 5.175 m³ / h (rounded to 5 m³ / h); if the deviation is negative (the branch pressure change is less than the main pressure change), the compensation value is negative, indicating that the water flow needs to be reduced.

[0036] In specific implementation, the system will first determine the direction of deviation: When the branch pressure change is greater than the trunk pressure change + the upper limit of the dynamic stability range, it is determined to be insufficient flow and a positive compensation value is generated; When the branch pressure change is less than the main line pressure change minus the lower limit of the dynamic stability range, it is determined to be excess flow and a negative compensation value is generated.

[0037] The compensation ratio coefficient will be dynamically adjusted based on real-time room temperature data: if the room temperature of the representative building is lower than 18°C ​​for two consecutive hours, the second ratio coefficient will automatically increase by 0.05; if the room temperature is higher than 22°C, it will decrease by 0.05.

[0038] Through real-time calculation of the dynamic stability range, buildings with hydraulic imbalances caused by changes in pipe network resistance, fluctuations in user heat consumption, and other factors can be accurately identified, avoiding the blindness of traditional "global regulation" and improving regulation accuracy to the single-building level. A linkage compensation mechanism based on pressure deviation and target flow can quickly correct uneven flow distribution between buildings and improve insufficient heating for end users. On-demand compensation values ​​avoid energy waste caused by over-regulation; at the same time, real-time pressure deviation monitoring can detect potential problems such as pipeline gas accumulation and valve failure in advance, reducing equipment loss caused by hydraulic shock and extending the service life of the pipe network.

[0039] In a preferred embodiment of the present invention, the above step 4, determining the position compensation intensity level based on the pipe network distance from the representative building to the farthest building in the group, and generating the compensation value for each building in the group, may include: In step 400, buildings within 100 meters of the heat exchange station are defined as the short-distance zone, matching intensity level 1, and the compensation value is a fusion of the representative building's baseline compensation value and a first intensity coefficient, where the first intensity coefficient is less than 1.0. Buildings between 100 and 300 meters from the heat exchange station are defined as the medium-distance zone, matching intensity level 2, and the compensation value directly uses the representative building's baseline compensation value. Buildings more than 300 meters from the heat exchange station are defined as the long-distance zone, matching intensity level 3, and the compensation value is a fusion of the baseline compensation value and a second intensity coefficient, where the second intensity coefficient is greater than 1.0. Step 401: Calculate and generate independent compensation values ​​for each building according to the matching strength rule of the area to which the building belongs.

[0040] In this embodiment of the present invention, the built-in GIS geographic information module automatically reads the pipe network topology data of each building group, and calculates the actual laying distance from each building to the heat exchange station (including the path length of elbows and branch pipe sections) based on a three-dimensional modeling algorithm. The algorithm compares the distance data with a preset threshold: Short-distance area identification: If the calculated distance to a building is ≤100 meters, the system automatically marks it as intensity level 1, calls the preset first intensity coefficient (default 0.8), and generates a compensation value through multiplication (for example, if the base compensation value for the building is +5m³ / h, then the compensation value for this area = 5×0.8=4m³ / h).

[0041] Medium-distance area identification: Buildings within the range of 100-300 meters are automatically classified as intensity level 2, and the system directly calls the benchmark compensation value as the compensation value for this area (for example, the benchmark value + 5m³ / h means the compensation value is 5m³ / h).

[0042] Long-distance area identification: Buildings with a distance greater than 300 meters are marked as intensity level 3, and the second intensity coefficient (default 1.3) is used for calculation (e.g., baseline value + 5 m³ / h, compensation value = 5 × 1.3 = 6.5 m³ / h).

[0043] The system analyzes the flow monitoring data of each area in the previous 24 hours every day. If the deviation between the actual flow in the long-distance area and the target flow is greater than ±8%, the second intensity coefficient will be automatically fine-tuned by ±0.05 (the coefficient will be adjusted upward when the deviation is negative and downward when the deviation is positive), and the adjustment step size shall not exceed 0.02 / time.

[0044] Step 401: Start the batch operation module and process all building data in the group according to the following process: The coordinate data of each building's pipe network nodes is synchronized in real time through an IoT sensor network. Distance parameters in the GIS system are calibrated using a laser ranging algorithm (calibration error ≤ ±2 meters). A classifier equipped with a neural network model performs a secondary assessment of the distance data. For buildings near a critical value (e.g., 98-102 meters), the model analyzes resistance parameters such as pipe diameter and number of elbows, and outputs a regional probability of belonging (e.g., 95% probability of belonging to a short-distance area is classified as level 1). Based on the regional matching results, the corresponding intensity coefficient is applied, and independent compensation values ​​are generated through floating-point operations (e.g., if the baseline value for a long-distance building is -3 m³ / h, the compensation value is -3 × 1.3 = -3.9 m³ / h). The compensation values ​​of buildings in the same area are automatically compared for their dispersion. If a building's compensation value deviates by more than 15% from the regional mean, a secondary calculation process is triggered (re-retrieving the pipe network resistance parameters for distance correction). This ultimately generates a compensation value matrix with geographic coordinates and sends it to the execution unit.

[0045] Fully automated calculations based on GIS and the Internet of Things eliminate human judgment errors. The AI ​​model's real-time optimization of the intensity coefficient automatically adapts to changing operating conditions, such as aging pipes and new users. For example, when pipe scaling increases resistance in a long-distance building, the system automatically increases the compensation coefficient within 48 hours to ensure stable terminal flow. Compensation attenuation in short-distance areas and enhancement strategies in long-distance areas avoid window cooling losses caused by near-end overheating. The fully automated calculation module generates real-time heat maps of the pipe network's pressure-flow distribution. If the compensation value in a particular area exceeds the baseline value by 20% for three consecutive days, a pipe network fault warning (such as a clogged pipe or valve abnormality) is automatically triggered.

[0046] In a preferred embodiment of the present invention, in step 5, the group target water flow is superimposed on the compensation value of each building in the group to generate a group corrected water flow instruction, and the return water pipe regulating valves of the buildings in the group are driven by the group to execute the group corrected water flow instruction; the return water temperature of the representative building is collected, and when the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted in the direction of the deviation to obtain the adjusted intensity level, which may include: Step 500: The group target water flow rate is added to the compensation value of each building in the group to generate a group corrected water flow rate instruction. The return pipe regulating valves of the buildings in the group are driven to execute the instruction in the order of long distance area, medium distance area, and short distance area. Step 501: Real-time collection of the return water temperature of the representative building and the return water temperature of the heat exchange station. When the return water temperature of the representative building is lower than the return water temperature of the heat exchange station and the difference exceeds a preset temperature threshold, the intensity level of the long-distance area is adjusted to a new level 3. When the return water temperature of the representative building is higher than the return water temperature of the heat exchange station and the difference exceeds a preset temperature threshold, the intensity level of the short-distance area is adjusted to a new level 1. The second intensity coefficient of the new level 3 is the sum of the original second intensity coefficient and the preset adjustment value; the first intensity coefficient of the new level 1 is the difference between the original first intensity coefficient and the preset adjustment value. Step 502: Use intensity level 1 and intensity level 3 as adjusted new intensity levels.

[0047] In this embodiment of the present invention, the data center automatically retrieves the group target water flow data (such as the energy-saving group target flow of 120m³ / h) and the independent compensation value of each building (such as +6m³ / h for long-distance buildings, +5m³ / h for medium-distance buildings, and +4m³ / h for short-distance buildings), and performs superposition calculations on each building: A building in a long-distance area: 120+6=126m³ / h; A building in a medium-distance area: 120+5=125m³ / h; A building in a short-distance area: 120+4=124m³ / h; The generated correction instructions are sorted by area priority: first the long-distance area (over 300 meters), then the medium-distance area (100-300 meters), and finally the short-distance area (within 100 meters). The driving logic is as follows: A flow command of 126 m³ / h is sent to the electric regulating valve in a long-distance building. The valve actuator adjusts the opening after receiving the signal and simultaneously feeds back the real-time flow rate to the monitoring platform. After all valves in the long-distance area are adjusted and stabilized (about 5 minutes), send instructions to the medium-distance buildings; Finally, short-distance area adjustment is performed to ensure that the pipeline pressure fluctuation is within ±0.01MPa.

[0048] In step 501, the system collects temperature data in real time with a 15-minute cycle through the Pt100 temperature sensors embedded in the return pipes of the representative buildings and the temperature transmitters on the return pipes of the heat exchange station: If the return water temperature of the representative building is 45°C at a certain moment and the return water temperature of the heat exchange station is 48°C, the difference of -3°C exceeds the preset threshold (-2°C), and it is determined that the flow rate in the long-distance area is insufficient, the system automatically adjusts the second intensity coefficient of the long-distance area from 1.3 to 1.3 + the preset adjustment value (such as 0.1), and the new coefficient is 1.4; If the return water temperature of the representative building is 52°C and the return water temperature of the heat exchange station is 49°C, the difference of +3°C exceeds the preset threshold (+2°C), it is determined that there is excess flow in the short-distance area, and the first intensity coefficient of the short-distance area is adjusted from 0.8 to 0.8-preset adjustment value (such as 0.1), and the new coefficient is 0.7.

[0049] The temperature threshold can be dynamically adjusted according to the outdoor temperature: when the outdoor temperature is less than -5℃, the threshold is relaxed to ±3℃; when the outdoor temperature is ≥5℃, the threshold is tightened to ±1.5℃.

[0050] Step 502: After the coefficient adjustment is completed, the intensity level definition is automatically updated: New Level 3 (Long Range): Second Strength Factor = Original Factor + Adjustment Value (e.g. 1.3 → 1.4) New Level 1 (Short Range): First Strength Coefficient = Original Coefficient - Adjusted Value (e.g. 0.8 → 0.7) The coefficient for the mid-range area (level 2) remains unchanged at 1.0; The adjusted intensity level will be synchronized to three databases: Real-time control database: used for calculation of compensation value of current cycle; Historical database: records adjustment time, reasons, and effects for AI model training; Backup database: prevent data loss and support version rollback.

[0051] The valves are driven in the order of long distance → medium distance → short distance, avoiding the pressure shock in the pipeline network caused by traditional synchronous adjustment and ensuring the stability of the system. By analyzing the temperature deviation between the representative building and the heat exchange station, the position compensation intensity is adjusted in real time, solving the "low temperature but not hot" problem of the end user. The dynamically adjusted intensity coefficient avoids energy waste caused by excess flow at the near end (such as heat dissipation by opening windows) and pump overload caused by insufficient flow at the far end. The linkage adjustment logic of the temperature threshold and the intensity coefficient can self-learn historical data. For example, when the same temperature deviation occurs for 3 consecutive days, the system will automatically optimize the preset adjustment value. There is no manual intervention from command generation to intensity adjustment. The fault response time is shortened from 4 hours of traditional inspection to 15 minutes. At the same time, the generated adjustment records provide data support for pipeline network transformation and help the continuous optimization of the heating system.

[0052] In a preferred embodiment of the present invention, step 6, regenerating the compensation value for each building in the group based on the adjusted intensity level and executing the group corrected water flow instruction and valve actuation operation; if the measured water flow value deviates from the group corrected water flow instruction, recalculating the pressure change of the corresponding group representative building branch and updating the baseline compensation value, may include: Step 600: Based on the adjusted new intensity level, for buildings within 100 meters of the heat exchange station, the first intensity coefficient of the new intensity level 1 is used to calculate the compensation value; for buildings between 100 and 300 meters from the heat exchange station, the representative building benchmark compensation value is directly used as the compensation value; for buildings more than 300 meters from the heat exchange station, the second intensity coefficient of the new intensity level 3 is used to calculate the compensation value, thereby obtaining the newly generated compensation value for each building. Step 601: Superimpose the newly generated compensation values ​​for each building with the group target water flow rate to form an updated group corrected water flow rate instruction. Based on the updated group corrected water flow rate instruction, the return pipe regulating valves of the buildings in the group are driven in the order of long-distance area, medium-distance area, and short-distance area. Step 602: After the base drive regulating valve is executed, the measured water flow values ​​of each building are collected in real time. When the deviation between the measured water flow value of any building and the updated group corrected water flow instruction exceeds the allowable error range, the pressure change of the branch line representing the corresponding group building is recalculated; Step 603 : Based on the recalculated branch pressure variation, the deviation amplitude of the main line pressure variation and the compensation ratio of the group target water flow, the representative building benchmark compensation value is updated.

[0053] In this embodiment of the present invention, the new intensity level parameters adjusted in step 502 are automatically retrieved (e.g., the first intensity coefficient in the short-distance area is adjusted from 0.8 to 0.7, and the second intensity coefficient in the long-distance area is adjusted from 1.3 to 1.4), and the compensation value for each building is calculated according to the following rules: Short-distance buildings (≤100 meters): The distance from a building to the heat exchange station is read as 80 meters. The first intensity coefficient of the new level 1 is called 0.7. Combined with the representative building's baseline compensation value + 5m³ / h, the calculated compensation value is 5×0.7=3.5m³ / h. Medium-distance buildings (100-300 meters): If the distance to a building is 200 meters, the base compensation value + 5m³ / h is directly used without coefficient adjustment; Long-distance buildings (>300 meters): A building is 350 meters away. The second intensity coefficient of the new level three is 1.4, and the calculated compensation value is 5×1.4=7m³ / h.

[0054] At the same time, a secondary check is performed on buildings at critical distances (such as 98-102 meters): by analyzing the resistance parameters such as the number of elbows and pipe diameters in the building's pipeline network, the distance attribution is automatically corrected (for example, a 99-meter building is determined to be in the medium-distance area due to the large pipeline network resistance), ensuring accurate calculation of the compensation value.

[0055] Step 601: Add the group target water flow (e.g., 120 m³ / h) and the new compensation value of each building one by one: Short distance buildings: 120+3.5=123.5m³ / h; Medium-distance buildings: 120+5=125m³ / h; Long-distance building: 120+7=127m³ / h; The generated update instructions are driven in the order of "long distance → medium distance → short distance": A flow rate command of 127 m³ / h is sent to the electric regulating valve in the long-distance building. The valve actuator receives the signal and adjusts its opening. Simultaneously, the flow meter provides real-time flow feedback to the system until the deviation is less than ±1%. After waiting for the flow rate in the long-distance area to stabilize (approximately 5 minutes), a 125 m³ / h command is sent to the medium-distance building. This process is repeated to complete the short-distance area flow control.

[0056] Step 602: After the valve is driven, the measured water flow value of each building is collected in a 10-minute cycle: If the measured flow rate of a long-distance building is 125m³ / h, and the deviation from the updated instruction of 127m³ / h is -2m³ / h, which exceeds the allowable error range (±1.5m³ / h), the system will automatically mark the building and trigger the branch pressure recalculation process; when the outdoor temperature is less than -10℃, the error is relaxed to ±2m³ / h; when the temperature is ≥0℃, it is tightened to ±1m³ / h.

[0057] Step 603: Re-retrieve the branch pressure sensor data of the representative building (sampled every 10 minutes) and calculate the branch pressure change in the current cycle: For example, the branch pressure in the representative building was 0.38 MPa at time t1 and 0.36 MPa at time t2, a change of -0.02 MPa. During the same period, the main line pressure changed by -0.01 MPa, with a deviation of -0.01 MPa, exceeding the dynamic stability range (±0.005 MPa). Combining the group target water flow rate of 120 m³ / h with the compensation proportional coefficient (the first proportional coefficient for the energy-saving group is 0.8), a new baseline compensation value is calculated: deviation amplitude × target flow rate × proportional coefficient, overwriting the original baseline compensation value of 5 m³ / h. The updated baseline compensation value is synchronized to three databases: the real-time control database, the historical record database, and the AI ​​model training database.

[0058] Through a closed-loop process of "intensity level adjustment → compensation value generation → flow measurement → benchmark update," the deviation between a building's actual flow and commanded flow is kept to a very small range, completely resolving the lag problem of "one-time adjustment, long-term stability" in traditional regulation. Dynamic error monitoring and a benchmark compensation value update mechanism automatically adapt to changing operating conditions, such as pipe scaling and user heat fluctuations. For example, if scaling increases resistance in a building's pipes, compensation value iteration is completed within 24 hours to ensure stable flow. Precise flow control avoids pump overload and energy waste caused by overcompensation, while also reducing wear and tear caused by frequent valve adjustments. The benchmark update mechanism, triggered by measured flow deviations, can proactively detect anomalies such as pipe blockages and valve failures. For example, if a building's flow consistently fails to meet standards, the system will issue a pipe maintenance warning within three regulation cycles. The compensation values ​​and flow data generated during each regulation cycle are automatically integrated into the AI ​​model, allowing the system's regulation strategy to continuously evolve over time.

[0059] like Figure 2 As shown, an embodiment of the present invention further provides a hydraulic balance regulation system, comprising: The building grouping module is used to divide the buildings into independent adjustment groups according to their thermal insulation performance, determine the representative building for each group, and fix corresponding pressure sensors on the return pipe, heat source outlet pipe, and heat exchange station inlet pipe; a target flow setting module, configured to set a target water flow rate based on each set of historical water flow records, and obtain a change in the mains pressure between the first pressure sensor and the second pressure sensor in real time; The pressure deviation calculation module is used to independently calculate the branch pressure change of each group of representative buildings. When the deviation between the branch pressure change and the main line pressure change exceeds the dynamic stability range, a benchmark compensation value for the representative building is generated; The position compensation intensity module is used to determine the position compensation intensity level based on the pipe network distance from the representative building to the farthest building in the group, and generate the compensation value for each building in the group; The water flow instruction generation module is used to add the group target water flow to the compensation value of each building in the group to generate a group corrected water flow instruction, which drives the return water pipe regulating valves of the buildings in the group to execute the instruction; the return water temperature of the representative building is collected, and when the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted according to the deviation direction; The compensation value update module is used to regenerate the compensation value of each building in the group based on the adjusted intensity level, execute the group correction water flow instruction and valve drive operation; if the actual water flow value deviates from the group correction water flow instruction, recalculate the pressure change of the corresponding group representative building branch and update the baseline compensation value.

[0060] It should be noted that this system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effects.

[0061] An embodiment of the present invention further provides a computing device comprising: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the above-described method. All implementations in the above-described method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0062] The embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the above-described method. All implementations in the above-described method embodiment are applicable to this embodiment and can achieve the same technical effects.

[0063] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A hydraulic balance adjustment method, characterized in that: The method comprises: Step 1: Divide the buildings into independent adjustment groups according to their thermal insulation performance, and determine a representative building for each group; fix a third pressure sensor on the return pipe, a first pressure sensor on the heat source outlet pipe, and a second pressure sensor on the heat exchange station inlet pipe; Step 2: setting a group target water flow rate based on each group of historical water flow records, and obtaining a trunk pressure change between the first pressure sensor and the second pressure sensor in real time; Step 3: Calculate the branch pressure variation of each group of representative buildings independently. When the deviation between the branch pressure variation and the main pressure variation of any group exceeds the dynamic stability range, generate a benchmark compensation value for the representative building. Step 4: Determine the position compensation intensity level based on the pipe network distance from the representative building to the farthest building in the group, and generate compensation values ​​for each building in the group; Step 5: The group target water flow is superimposed on the compensation value of each building in the group to generate a group correction water flow instruction. The return water pipe regulating valves of the buildings in the group are driven by the group to execute the group correction water flow instruction. The return water temperature of the representative building is collected. When the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted in the direction of the deviation to obtain the adjusted intensity level. Step 6: Regenerate the compensation value for each building in the group based on the adjusted intensity level, and execute the group corrected water flow instruction and valve drive operation; if the actual water flow value deviates from the group corrected water flow instruction, recalculate the pressure change of the corresponding group representative building branch and update the baseline compensation value.

2. The hydraulic balance adjustment method according to claim 1, characterized in that: A target water flow rate is set based on each set of historical water flow records, and a change in mains pressure between the first pressure sensor and the second pressure sensor is obtained in real time, including: For the energy-saving building group, the target water flow rate is set using the first proportional coefficient of the historical flow average; for the non-energy-saving building group, the target water flow rate is set using the second proportional coefficient of the historical flow average; the first proportional coefficient is less than 1.0, and the second proportional coefficient is greater than 1.0; The pressure data of the first pressure sensor and the second pressure sensor are collected in real time, and the pressure difference between two adjacent fixed time sampling points is calculated as the trunk pressure change.

3. The hydraulic balance adjustment method according to claim 2, characterized in that: The branch pressure change of each representative building is calculated independently. When the deviation between the branch pressure change of any group and the main pressure change exceeds the dynamic stability range, a benchmark compensation value for the representative building is generated, including: Based on the branch pressure fluctuation characteristics within the preset monitoring period, the preset monitoring period pressure extreme value interval is used as the dynamic stability range; When the deviation between the pressure change of any group of branches and the pressure change of the main line exceeds the dynamic stability range, a representative building benchmark compensation value is generated based on the deviation amplitude and the compensation ratio of the group target water flow, and the compensation ratio of the group target water flow includes a first proportional coefficient and a second proportional coefficient.

4. The hydraulic balance adjustment method according to claim 3, characterized in that: Based on the pipe network distance from the representative building to the farthest building in the group, the position compensation intensity level is determined, and the compensation value for each building in the group is generated, including: Buildings within 100 meters from the heat exchange station are defined as short-distance areas, matching intensity level 1, and the compensation value is a fusion of the representative building's benchmark compensation value and the first intensity coefficient, with the first intensity coefficient being less than 1.0; buildings between 100 and 300 meters from the heat exchange station are defined as medium-distance areas, matching intensity level 2, and the compensation value directly uses the representative building's benchmark compensation value; buildings more than 300 meters from the heat exchange station are defined as long-distance areas, matching intensity level 3, and the compensation value is a fusion of the benchmark compensation value and the second intensity coefficient, with the second intensity coefficient being greater than 1.0; According to the matching strength rules of the area to which the building belongs, independent compensation values ​​for each building are calculated and generated.

5. The hydraulic balance adjustment method according to claim 4, characterized in that: The group target water flow is added to the compensation values ​​of each building in the group to generate a group correction water flow instruction. The return water pipe regulating valves of the buildings in the group are driven by the group to execute the group correction water flow instruction. The return water temperature of the representative building is collected. When the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted according to the deviation direction. The adjusted intensity level includes: The group target water flow and the compensation value of each building in the group are superimposed one by one to generate a group correction water flow instruction, and the return pipe regulating valves of the buildings in the group are driven to execute the instruction in the order of long distance area, medium distance area, and short distance area; Real-time data collection of the return water temperature of the representative building and the heat exchange station. When the return water temperature of the representative building is lower than the return water temperature of the heat exchange station and the difference exceeds the preset temperature threshold, the intensity level of the long-distance area is adjusted to the new level 3. When the return water temperature of the representative building is higher than the return water temperature of the heat exchange station and the difference exceeds the preset temperature threshold, the intensity level of the short-distance area is adjusted to the new level 1. Intensity level one and intensity level three are used as the adjusted new intensity levels.

6. The hydraulic balance adjustment method according to claim 5, characterized in that: The second intensity coefficient of the new level three is the sum of the original second intensity coefficient and the preset adjustment value; the first intensity coefficient of the new level one is the difference between the original first intensity coefficient and the preset adjustment value.

7. The hydraulic balance adjustment method according to claim 6, characterized in that: Regenerate compensation values ​​for each building in the group based on the adjusted intensity level, and execute group-corrected water flow instructions and valve actuation operations; If the measured water flow rate deviates from the group correction water flow rate instruction, the corresponding group representative building branch pressure change is recalculated and the baseline compensation value is updated, including: Based on the adjusted new intensity level, for buildings within 100 meters of the heat exchange station, the first intensity coefficient of the new intensity level 1 is used to calculate the compensation value; for buildings between 100 and 300 meters away from the heat exchange station, the representative building benchmark compensation value is directly used as the compensation value; for buildings more than 300 meters away from the heat exchange station, the second intensity coefficient of the new intensity level 3 is used to calculate the compensation value, and the newly generated compensation value for each building is obtained; The regenerated compensation value of each building is superimposed on the group target water flow building by building to form an updated group corrected water flow instruction. Based on the updated group corrected water flow instruction, the return pipe regulating valves of the buildings in the group are driven in the order of long-distance area, medium-distance area, and short-distance area. After the control valve is driven, the measured water flow values ​​of each building are collected in real time. When the deviation between the measured water flow value of any building and the updated group-corrected water flow instruction exceeds the allowable error range, the pressure change of the branch representing the corresponding group building is recalculated; Based on the recalculated branch pressure change, combined with the deviation amplitude of the main line pressure change and the compensation ratio of the group target water flow, the representative building benchmark compensation value is updated.

8. A hydraulic balance regulation system, which implements the method according to any one of claims 1 to 7, characterized in that: include: The building grouping module is used to divide the buildings into independent adjustment groups according to their thermal insulation performance, determine the representative building for each group, and fix corresponding pressure sensors on the return pipe, heat source outlet pipe, and heat exchange station inlet pipe; a target flow setting module, configured to set a target water flow based on each set of historical water flow records, and obtain a change in mains pressure between the first pressure sensor and the second pressure sensor in real time; The pressure deviation calculation module is used to independently calculate the branch pressure change of each group of representative buildings. When the deviation between the branch pressure change and the main line pressure change exceeds the dynamic stability range, a benchmark compensation value for the representative building is generated; The position compensation intensity module is used to determine the position compensation intensity level based on the pipe network distance from the representative building to the farthest building in the group, and generate the compensation value for each building in the group; The water flow instruction generation module is used to add the group target water flow to the compensation value of each building in the group to generate a group corrected water flow instruction, which drives the return water pipe regulating valves of the buildings in the group to execute the instruction; the return water temperature of the representative building is collected, and when the deviation from the return water temperature of the heat exchange station exceeds the allowable range, the position compensation intensity level is adjusted according to the deviation direction; The compensation value update module is used to regenerate the compensation value of each building in the group based on the adjusted intensity level, and execute the group correction water flow instruction and valve drive operation; If the measured water flow rate deviates from the group-corrected water flow rate instruction, the pressure change of the corresponding group representative building branch is recalculated and the baseline compensation value is updated.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

Images