Method and device for tracking and balancing the most unfavorable points of the entire network thermal power, and electronic equipment

Abstract

The application provides a full-network thermal worst point tracking balance method and device and electronic equipment, comprising: collecting differential pressure signals, flow signals of each building branch and household room temperature signals corresponding to the buildings, and calculating average room temperature values of the buildings based on the household room temperature signals; calculating comprehensive impedance values of the building branches based on the differential pressure signals and the flow signals, and identifying a current hydraulic worst point based on the comprehensive impedance values; if the average room temperature value of the building where the current hydraulic worst point is located is greater than or equal to a first temperature threshold, obtaining a balance reference, and calculating and adjusting the opening degree of the electric balance valve of each building branch based on the balance reference and taking the household room temperature signal as a constraint condition. The application can reduce the workload of field operation and inspection.

Description

Technical Field

[0001] This invention relates to the field of hydraulic balance technology for heating pipe networks, and in particular to a method, device, and electronic equipment for tracking and balancing the most unfavorable thermal point of the entire network. Background Technology

[0002] Urban centralized heating secondary pipe networks cover various heating areas including commercial housing, old residential communities, and urban villages. The main pipes of heat exchange stations, branch pipes in buildings, and inlet pipes are connected in series to form a complete hydraulic system. As the service life of the pipe network increases, scale buildup on the inner walls and wear on valve cores lead to a gradual increase in the hydraulic resistance of the pipes. The total resistance is even greater at the end of the network and on the top floors of high-rise buildings, naturally creating the most hydraulically unfavorable areas, resulting in widespread hydraulic imbalances. Near-end branch lines have sufficient pressure differentials and circulation flow far exceeding heating demand, leading to residents frequently opening windows for heat dissipation, wasting both gas and electricity used by circulation pumps. At the most unfavorable points, insufficient flow supply results in indoor temperatures consistently below 16°C, leading to a surge in heating complaints and a continuous increase in customer service and on-site maintenance costs for heating companies. Therefore, it is necessary to balance and regulate the most unfavorable heating points.

[0003] The current mainstream balancing method in the industry is to manually adjust the opening of the balancing valve once at the beginning of the heating season, and then no further adjustment is needed throughout the year. However, scaling in the pipe network, valve core wear, and seasonal changes in occupancy rates will continuously change the impedance distribution of the entire network, causing static balancing to fail after 1-2 months, and the problem of uneven heating and cooling will recur periodically. The manual balancing and debugging cycle for large, contiguous residential areas can be as long as 1-2 weeks, requiring a huge investment of manpower. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method, device and electronic equipment for tracking and balancing the most unfavorable thermal point of the entire network, so as to reduce the workload of on-site operation and maintenance inspection.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: In a first aspect, the present invention provides a method for tracking and balancing the most unfavorable thermal point across the entire network, comprising: collecting differential pressure signals, flow signals, and individual room temperature signals of each building branch, and calculating the average room temperature value of each building based on the individual room temperature signals; calculating the comprehensive impedance value of each building branch based on the differential pressure signals and flow signals, and identifying the current hydraulically most unfavorable point based on the comprehensive impedance value; if the average room temperature value of the building where the current hydraulically most unfavorable point is located is greater than or equal to a first temperature threshold, then obtaining a balance benchmark, and calculating and adjusting the opening degree of the electric balancing valve of each building branch based on the balance benchmark and with the individual room temperature signals as constraints.

[0006] Optionally, the average room temperature value is the weighted average of the room temperature signals of all households in the building where the current hydraulically most unfavorable point is located; where the weighting is determined based on the building area and number of households.

[0007] Optionally, the balance reference is obtained, including: determining the time period to which the current time belongs based on the built-in system clock of the heating station PLC; if the current time period belongs to the first interval, then the daytime high pressure differential balance reference is retrieved; if the current time period belongs to the second interval, then the nighttime low pressure differential balance reference is retrieved.

[0008] Optionally, based on the balance benchmark and with the individual room temperature signal as a constraint, the opening degree of the electric balancing valve of each building branch is calculated and adjusted, including: using the balance benchmark as a reference, calculating the target opening degree of the electric balancing valve of all near-end and far-end branches in the area's pipe network; and adjusting the opening degree of the electric balancing valve of each building branch based on the target opening degree and with the individual room temperature signal as a constraint.

[0009] Optionally, based on the target opening degree and constrained by the individual household room temperature signal, the opening degree of the electric balancing valves of each building branch is adjusted, including: generating synchronous adjustment commands for each building branch based on the target opening degree of the electric balancing valves of each building branch; controlling all balancing valves involved in the adjustment in the area network to perform a single action based on the synchronous adjustment commands; wherein the absolute value of the opening adjustment amplitude of a single action does not exceed the preset value, and the opening adjustment is performed in a smooth segmented manner according to a preset multi-gradient time series; after each gradient of the multi-gradient time series is completed, with the room temperature at the current hydraulically most unfavorable point approaching the set value as the target, the opening degree of the balancing valves of the near-end branch is synchronously narrowed until the overall pressure difference distribution of the area network converges to the preset equilibrium range.

[0010] Optionally, the method further includes: extracting time-series data without abnormal markers within a preset time period at a preset time point to generate a continuous impedance sequence; performing linear fitting on the continuous impedance sequence to obtain the pipeline aging attenuation coefficient, and correcting the balance reference based on the pipeline aging attenuation coefficient.

[0011] Optionally, the method further includes: continuously calculating the average room temperature value of the building where the current hydraulically most unfavorable point is located over a target number of consecutive time periods; when the average room temperature value is less than a second temperature threshold, generating an operation and maintenance work order containing the building number and the abnormal start and end time, and pushing the operation and maintenance work order to the dispatching computer and the mobile terminal of the operation and maintenance personnel.

[0012] Secondly, the present invention provides a network-wide thermal most unfavorable point tracking and balancing device, comprising: a data acquisition module for acquiring differential pressure signals, flow signals, and individual room temperature signals of each building branch, and calculating the average room temperature value of each building based on the individual room temperature signals; a most unfavorable point identification module for calculating the comprehensive impedance value of each building branch based on the differential pressure signals and flow signals, and identifying the current hydraulic most unfavorable point based on the comprehensive impedance value; and a balance control module for obtaining a balance reference if the average room temperature value of the building where the current hydraulic most unfavorable point is located is greater than or equal to a first temperature threshold, and calculating and adjusting the opening degree of the electric balance valve of each building branch based on the balance reference and with the individual room temperature signals as constraints.

[0013] Thirdly, the present invention provides an electronic device including a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the method provided in any of the first aspects above.

[0014] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, performs the steps of the method provided in any of the first aspects above.

[0015] This invention brings the following beneficial effects: The above-mentioned method, device, and electronic equipment for tracking and balancing the most unfavorable thermal point of the entire network provided by the present invention first collects the differential pressure signal, flow rate signal, and individual room temperature signal of each building branch, and calculates the average room temperature value of each building based on the individual room temperature signal; then, it calculates the comprehensive impedance value of each building branch based on the differential pressure signal and flow rate signal, and identifies the current hydraulically most unfavorable point based on the comprehensive impedance value; if the average room temperature value of the building where the current hydraulically most unfavorable point is located is greater than or equal to a first temperature threshold, a balance benchmark is obtained, and based on the balance benchmark, with the individual room temperature signal as a constraint, the opening degree of the electric balancing valve of each building branch is calculated and adjusted. The above method establishes a distributed multi-source acquisition architecture for differential pressure, flow rate, and room temperature of individual branch lines. It collects differential pressure signals, flow rate signals, and room temperature signals of individual units in each building branch line. Based on the differential pressure and flow rate signals, it calculates the comprehensive impedance value of each building branch line. By identifying the current hydraulically most unfavorable point through the comprehensive impedance value, the manual on-site temperature measurement and judgment process is eliminated, significantly reducing the workload of on-site operation and maintenance inspections. At the same time, using the room temperature signal of the building where the current hydraulically most unfavorable point is located as a constraint, the opening degree of the electric balancing valve of each building branch line is calculated and adjusted. From the hydraulic mechanism perspective, this eliminates the hydraulic oscillation of the entire pipe network caused by single-branch adjustment, eradicating the problem of extreme imbalance between near-end overheating and far-end low temperature in the area.

[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This invention provides a schematic diagram of the overall logical architecture of a network-wide thermal worst-case point tracking and balancing system. Figure 2 A flowchart of a method for tracking and balancing the most unfavorable thermal point across the entire network, provided in an embodiment of the present invention; Figure 3 A standardized flowchart for tracking and balancing the most unfavorable thermal point across the entire network is provided as an embodiment of the present invention. Figure 4 This is a schematic diagram of a network-wide thermal most unfavorable point tracking and balancing device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, 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.

[0021] Currently, the mainstream balancing method in the industry is to manually adjust the opening of the balancing valve once at the beginning of the heating season, and then no further adjustment is needed throughout the year. However, scaling in the pipe network, valve core wear, and seasonal changes in occupancy rates will continuously alter the impedance distribution of the entire network, causing static balancing to fail after 1-2 months, and the problem of uneven heating and cooling will recur periodically. The manual balancing and debugging cycle for large, contiguous residential areas can be as long as 1-2 weeks, requiring a huge investment of manpower.

[0022] Based on this, the present invention provides a method, device and electronic equipment for tracking and balancing the most unfavorable thermal points across the entire network, which can reduce the workload of on-site operation and maintenance inspection.

[0023] To facilitate understanding of this embodiment, a method for tracking and balancing the most unfavorable thermal point across the entire network, disclosed in this embodiment of the invention, will first be described in detail. This method can be executed by electronic devices, such as smartphones, computers, and tablets.

[0024] This invention employs a four-layer progressive software algorithm architecture, see [link / reference]. Figure 1 The diagram illustrates the overall logical architecture of a network-wide thermal most unfavorable point tracking and balancing system. It includes: a multi-source sensing and acquisition layer for individual households, a network-wide most unfavorable point identification and calculation layer, a global time-sharing collaborative balancing layer, and an impedance self-learning early warning iteration layer. This architecture relies on seven core modules: multi-source time-series preprocessing, branch impedance quantization and sorting, dynamic point identification, time-sharing reference switching, global collaborative valve regulation, time-series self-learning, and fault early warning. It fully realizes 24-hour fully automatic hydraulic most unfavorable point tracking, integrated regional adaptive hydraulic balancing, long-term pipeline aging adaptation, and a closed-loop function for early warning of potential hazards.

[0025] The underlying data support unit of the multi-source sensing and acquisition layer for individual households covers three types of heterogeneous time-series acquisition: individual household room temperature, branch hydraulics, and overall operating conditions of the heat exchange station. It completes the preprocessing of jump rejection, time sequence alignment, and dimensional unification and standardization, providing a complete, stable, and realistic raw data foundation for hydraulics and comfort across the entire area for standard impedance formula calculation and identification of the most unfavorable point. Without any type of data, it is impossible to complete the quantification of branch resistance and dynamic point tracking calculation. It includes: individual household room temperature LoRa acquisition terminal (LoRa: long-range low-power wireless communication), building branch pressure difference and flow acquisition unit, and heating station network overall operating condition acquisition unit. The most unfavorable point identification and calculation layer of the entire network relies on the industry standard hydraulic principle to quantify the comprehensive impedance of each branch line one by one. It realizes the fully automatic dynamic update of the most unfavorable building by globally sorting the impedance values ​​of the entire area. At the same time, it distinguishes between two sets of balance benchmarks for day and night and matches different parameters for comfort and energy saving according to different scenarios. It is a core innovative architecture that is different from the traditional static manual balance algorithm. It includes: a household impedance calculation and most unfavorable point identification unit and a time-sharing balance parameter storage submodule.

[0026] The global time-sharing collaborative balance layer is the core unit of hydraulic balance closed-loop execution. It breaks through the inherent shortcomings of traditional single-building independent valve regulation and adopts the logic of synchronous collaborative smooth regulation of the entire branch. It takes into account the heating bottom line of the most unfavorable building and the hydraulic operation stability of the entire area network. It avoids the dual hidden dangers of safety and energy consumption such as water hammer and flow oscillation in the regulation of old pipe networks. It includes: the area global collaborative balance calculation unit and the branch electric balance valve collaborative execution module.

[0027] The impedance self-learning early warning iteration layer is a long-term adaptive optimization and fault pre-handling unit. It continuously fits the aging characteristics of pipelines year by year based on long-term time series samples and autonomously optimizes the balance benchmark parameters year by year. At the same time, it identifies long-term low-temperature hidden faults at remote locations in real time, which greatly reduces the workload of on-site manual inspection and door-to-door re-adjustment, and realizes the long-term stable operation of hydraulic balance in the area. It includes: impedance self-learning and worst point early warning unit.

[0028] See Figure 2 The flowchart shown illustrates a method for tracking and balancing the most unfavorable thermal point across an entire network, indicating that the method mainly includes the following steps S201 to S203: Step S201: Collect the differential pressure signal, flow signal and the individual room temperature signal of each building branch, and calculate the average room temperature value of each building based on the individual room temperature signal.

[0029] In one implementation, individual household room temperature LoRa acquisition terminals are used to collect heating comfort data across the entire area, providing a complete time-series basis for closed-loop constraints on room temperature at the most unfavorable point. Specifically, a passive wireless temperature sensor is installed in each household, and all temperature data is centrally collected and transmitted to the heating station PLC through the building's LoRa gateway. The system differentiates the upload frequency based on day and night: a set of room temperature time-series data is uploaded every 15 minutes during the daytime when residents are active, and every 60 minutes during the nighttime when residents are resting. The PLC has built-in abnormal data filtering logic, which automatically removes out-of-range temperature abrupt changes caused by sensor malfunctions or power outages. The average room temperature value of a single building is calculated by weighting the building area and the number of households, serving as the core input parameter for the balanced closed-loop correction, covering all heating buildings in the area without data blind spots.

[0030] In one implementation, the average room temperature value is the weighted average of the room temperature signals of all households in the building where the current hydraulically most unfavorable point is located; wherein, the weighting is determined based on the building area and number of households. Specifically, assume that a building has a total of n Household, No. i The room temperature is T i The building area is A i Then the average room temperature of the building is: .

[0031] The differential pressure and instantaneous circulating flow rate of a single building branch are collected by the building branch differential pressure and flow rate acquisition unit, providing all the raw hydraulic parameters required for standard impedance formula calculation. Specifically, each building branch is equipped with a high-precision differential pressure transmitter and pipeline flow sensor before and after the balancing valve, and time-series data are uploaded synchronously with a uniform 5-minute acquisition cycle. Each branch data is independently labeled with the building number and branch number. The raw time series data, carrying a uniform timestamp, is sent to the PLC preprocessing unit, where instantaneous flow rate and differential pressure jump noise are removed by moving average filtering to ensure the continuity and accuracy of the data used in the impedance calculation formula. The system collects baseline operating parameters of the entire heat exchange station's network through a comprehensive network operation data acquisition unit, providing upper and lower limits for overall differential pressure control within the area. Specifically, temperature, differential pressure, and circulating pump frequency acquisition devices are installed on the primary and secondary supply and return water mains of the heat exchange station. The system collects global operating conditions of the entire station synchronously every 5 minutes. The system has built-in overpressure and negative pressure protection thresholds for the network, which serve as hydraulic safety constraints during the collaborative balancing operation process, preventing damage to the pipelines due to negative or overpressure during batch valve adjustment.

[0032] Step S202: Calculate the comprehensive impedance value of each building branch based on the differential pressure signal and flow signal, and identify the current hydraulically most unfavorable point based on the comprehensive impedance value.

[0033] In one implementation, the comprehensive impedance is calculated in real time branch by branch using an industry-standard hydraulic formula based on individual household impedance calculation and the most unfavorable point identification unit. The most hydraulically unfavorable building in the entire area is automatically identified through a ranking process. Specifically, the comprehensive impedance value of each building's branch is calculated using the industry's only standard formula for hot water supply: = · 2 in, For the first i The real-time pressure difference (i.e., pressure difference signal) across the balancing valve of a building branch, in kPa; For the first i The overall impedance value of the branch circuit of the building; For the first i Instantaneous circulating flow rate (i.e., flow signal) of branch line, in m³ 3 / h.

[0034] The PLC reads all branches of the area every 5 minutes. , Real-time monitoring of the timing sequence, and substituting each line into the standard original to calculate the comprehensive impedance value of each building branch circuit. After calculating the comprehensive impedance values ​​of all building branch circuits in the entire area, the comprehensive impedance values ​​are sorted in descending order from largest to smallest. The building corresponding to the maximum impedance value is automatically marked as the current hydraulically most unfavorable point, and the average room temperature value of the building area where the previous hydraulically most unfavorable point was located is extracted simultaneously. .

[0035] Step S203: If the average room temperature of the building where the current hydraulically most unfavorable point is located is greater than or equal to the first temperature threshold, then obtain the balance reference, and based on the balance reference, calculate and adjust the opening degree of the electric balance valve of each building branch with the individual room temperature signal as a constraint.

[0036] In one implementation, after determining the current most unfavorable hydraulic point, the average room temperature value of the building where the current most unfavorable hydraulic point is located is read, and the result is determined based on the rigid constraint standard for heating comfort. The system judges whether the average room temperature in the building area where the hydraulically most unfavorable point is located is below the national standard heating lower limit of 18℃. If the average room temperature in the building area where the hydraulically most unfavorable point is located is below the national standard heating lower limit of 18℃, the system determines that the overall heating output of the area is insufficient and automatically raises the overall circulation pressure differential benchmark of the area. If the average room temperature in the building area where the hydraulically most unfavorable point is located meets the standard (i.e., the average room temperature is below the national standard heating lower limit of 18℃), the system judges that the overall heating output of the area is insufficient and automatically raises the overall circulation pressure differential benchmark of the area. If the temperature is ≥18℃, then switch to the corresponding day and night time-sharing balance benchmark to carry out energy-saving regulation.

[0037] In practice, the time period to which the current time belongs is determined by the built-in system clock of the heating station PLC; if the current time period belongs to the first interval, the daytime high pressure differential balance reference is retrieved; if the current time period belongs to the second interval, the nighttime low pressure differential balance reference is retrieved.

[0038] In this embodiment of the invention, a time-sharing balance parameter storage submodule persistently stores two sets of differentiated balance pressure differential benchmarks for daytime and nighttime use, as well as valve adjustment range limitation parameters. Specifically, the PLC local register reads and writes the time-sharing balance benchmarks (i.e., those for each building's branch circuits) in real time, while the cloud database synchronously and permanently stores the comprehensive impedance values ​​and room temperature time-series samples of the daily branch circuits. The high-pressure differential balance benchmark is stored during the daytime heating peak period from 7:00 to 23:00 (first interval) to ensure residents' daytime heating comfort. The low-pressure differential energy-saving benchmark is stored during the nighttime insulation period from 23:00 to 7:00 the next day (second interval) to fully utilize the heat storage capacity of the building walls to reduce the flow demand of the circulating pumps. Both benchmarks can be adaptively fine-tuned and optimized annually through a self-learning module. It should be noted that the number of time-sharing intervals can be set according to actual needs.

[0039] Furthermore, the synchronous area-wide collaborative balancing calculation unit uses the room temperature of the building where the current hydraulically most unfavorable point is located as a hard constraint, and calculates the optimal opening degree of the balancing valves for all branches in the entire area synchronously and collaboratively. Specifically, with the goal of hydraulic balance in the entire area, the adjustment of the balancing valves of all branches is calculated synchronously, prioritizing the basic circulation flow of the building where the current hydraulically most unfavorable point is located, and simultaneously compressing the excess flow capacity of the near-end branches, with single opening changes strictly controlled within 3%.

[0040] The above-mentioned method for tracking and balancing the most unfavorable point in the overall thermal system provided by this invention establishes a distributed multi-source acquisition architecture for differential pressure, flow rate, and room temperature of individual branch lines. It collects differential pressure signals, flow rate signals, and room temperature signals of individual units in each building branch line. Based on the differential pressure and flow rate signals, it calculates the comprehensive impedance value of each building branch line and identifies the current hydraulically most unfavorable point through the comprehensive impedance value. This eliminates the need for manual on-site temperature measurement and significantly reduces the workload of on-site operation and maintenance inspections. At the same time, using the room temperature signal of the building where the current hydraulically most unfavorable point is located as a constraint, it calculates and adjusts the target opening of the electric balancing valve of each building branch line. From a hydraulic mechanism perspective, this eliminates the hydraulic oscillation of the entire pipe network caused by single-branch adjustment and eradicates the problem of extreme imbalance between near-end overheating and far-end low temperature in the area.

[0041] In one implementation, for the aforementioned step S203, that is, when calculating and adjusting the opening degree of the electric balancing valve of each building branch based on the balance reference and using the individual room temperature signal as a constraint, the following methods can be adopted, including but not limited to: First, using the balance benchmark as a reference, calculate the target opening degree of the electric balance valves for all near-end branches and far-end branches in the area's pipe network.

[0042] Then, based on the target opening degree and with the individual room temperature signal as a constraint, the opening degree of the electric balancing valve of each building branch is adjusted.

[0043] In specific implementation, the opening degree of the electric balancing valves of each building branch is adjusted, including: generating synchronous adjustment commands for each building branch based on the target opening degree of the electric balancing valves of each building branch; based on the synchronous adjustment commands, controlling all balancing valves participating in the adjustment in the area's pipe network to perform a single action; wherein, the absolute value of the opening adjustment amplitude of a single action does not exceed the preset value, and the opening adjustment is performed in a smooth segmented manner according to a preset multi-gradient time series; after each gradient of the multi-gradient time series is completed, with the room temperature at the current hydraulically most unfavorable point approaching the set value as the target, the opening degree of the balancing valves of the near-end branch is synchronously narrowed until the overall pressure difference distribution of the area's pipe network converges to the preset equilibrium range.

[0044] In this embodiment of the invention, branches closer to the heat source are designated as "near-end branches," and branches farther from the heat source are designated as "far-end branches." In this adjustment, the allocation logic follows a core principle: near-end branches yield, far-end branches ensure supply.

[0045] Specifically, the overall adjustment force required for the entire area is calculated based on the deviation between the current room temperature and the set value of the building where the hydraulically most unfavorable point is located. However, this overall force is not evenly distributed among all valves, but rather differentiated according to the branch location: for near-end branches, a negative adjustment weight is assigned, meaning their balancing valve is closed less frequently in this operation. For far-end branches, a positive or maintenance weight is assigned, meaning the current opening is maintained or moderately increased in this operation to prevent further attenuation of the flow rate at the far end. For the branch of the building marked as the most unfavorable, it is set as the anchor point for this adjustment, and the opening of the balancing valve of this branch remains locked and unchanged in this operation, so that the system can observe the impact of changes in other branches on the most unfavorable point.

[0046] Furthermore, the branch electric balancing valve collaborative execution module synchronously issues multiple branch smooth valve adjustment commands in batches to protect the aging pipeline network from water hammer. Specifically, the branch electric balancing valve collaborative execution module receives synchronous adjustment commands for the opening of multiple branches from the regional global collaborative balancing calculation unit, issues them in batches for execution in stages, and prohibits large-scale instantaneous adjustments in a single branch. After each round of adjustment, the actual valve position sequence of the balancing valve is transmitted back to the PLC in real time to form a closed-loop feedback, continuously verifying the opening execution accuracy and identifying valve jamming and execution deviation faults.

[0047] To ensure absolute system stability and prevent hydraulic oscillations caused by large adjustments, this invention imposes mandatory constraints on the amplitude of each single action. In the control matrix output by the system, the absolute value of each valve's action in this instance is strictly limited to ±3% of its original opening position. If the theoretical required adjustment calculated by the system exceeds 3%, only 3% of it will be executed in this instance, and the remaining unexecuted portion will be temporarily stored in the controller's memory for gradual processing in subsequent cycles.

[0048] Based on the premise that the amplitude of a single action is ≤3%, the system further decomposes each action into multiple time gradients for execution to avoid pipeline pressure fluctuations caused by instantaneous actions. This invention preferably employs a three-gradient time sequence: the first time gradient controls all participating balancing valves to perform their initial action, with an action amplitude of 40%~60% of the total calculated adjustment; the second time gradient, after the first time gradient is completed and the system hydraulically stabilizes, controls all balancing valves to perform their second action, with an action amplitude of 60%~80% of the remaining adjustment; the third time gradient, after the second time gradient is completed, controls all balancing valves to perform fine-tuning actions, with an action amplitude less than or equal to 5% of the total calculated adjustment, to eliminate residual deviations.

[0049] Specifically, the first gradient (initial moment): all balancing valves involved in the regulation receive the start signal simultaneously and begin to execute their actions. The action amount of the first gradient accounts for about half of the total regulation amount in this operation. This gradient aims to respond quickly to the regulation demand without causing excessive action that could lead to water hammer. After execution, the system enters a short period of stability, lasting approximately 30 to 60 seconds, allowing the water flow state in the pipeline network to redistribute.

[0050] Second gradient (after the stabilization period): The system automatically triggers the second gradient command, and all valves continue to move in the target direction, with an action amount of approximately two-thirds of the remaining adjustment amount. After the pre-adjustment of the first gradient, the pipeline pressure has been initially redistributed, and the action of the second gradient is relatively smoother. After execution, the system enters the stabilization period again, lasting approximately 60 to 120 seconds.

[0051] The third gradient (fine-tuning phase): After the second gradient, the system collects the latest feedback data to check the residual deviation between the actual pressure difference and the target pressure difference. The third gradient performs only extremely small corrections, typically not exceeding five percent of the total adjustment. This gradient is a fine-tuning step, mainly used to eliminate the cumulative errors that may have been generated by the first two gradients.

[0052] Throughout the multi-gradient execution process, the system maintains synchronized calibration of the timestamps of all valve actions, ensuring that all valves of the same gradient start acting at the same time, rather than acting sequentially. This is the key to achieving "linkage and coordination" rather than "sequential adjustment".

[0053] After completing all gradient actions in each adjustment cycle, the system enters the convergence criterion evaluation phase. The core logic of the evaluation revolves around two dimensions: The first dimension is pressure differential balance. The system calculates the supply and return water pressure differential values ​​for all branches and obtains the average pressure differential of all branches. Then, it compares the deviation of the pressure differential of each branch from this average value. When the pressure differential deviation of all branches is controlled within an acceptable range, the pressure differential distribution of the pipeline network is considered to have reached a balanced state.

[0054] The second dimension is room temperature stability. The system pays special attention to the room temperature change trend of the branch circuit in the building where the most unfavorable point is located. If the room temperature of the branch circuit stabilizes near the set temperature after adjustment, and the fluctuation range does not exceed ±0.5℃ in multiple consecutive sampling cycles (e.g., 3 consecutive cycles, each cycle 5 minutes), then the room temperature is considered to meet the heating quality requirements.

[0055] When both of the above dimensions are met simultaneously, the system determines that the current operating condition has converged to the equilibrium range, suspends active adjustment, and only maintains routine monitoring. If subsequent monitoring finds that either dimension exceeds the allowable range, the system will automatically restart the adjustment process.

[0056] In one embodiment, the method further includes: at a preset time point, extracting time-series data without abnormal markers within a preset time period to generate a continuous impedance sequence; performing linear fitting on the continuous impedance sequence to obtain the pipeline aging attenuation coefficient, and correcting the balance reference based on the pipeline aging attenuation coefficient.

[0057] In practical implementation, impedance self-learning and the worst-case warning unit are used to fit the impedance decay law of pipeline aging over a long period of time, automatically identifying long-term low-temperature latent faults at remote locations and pushing maintenance work orders. Specifically, at midnight every day, the differential pressure and flow time series of the branches that have been without faults for the past 7 days are retrieved, continuously substituted into the standard original to generate a continuous impedance time series dataset, and multiple linear regression is used to fit the annual aging decay coefficient of the pipeline, automatically updating the day-night balance benchmark.

[0058] In one optional implementation, at 2:00 AM daily, the system automatically triggers a data retrieval process to read all branch differential pressure and flow data for that time period (i.e., 2:00 AM to 4:00 AM daily) from the historical database for the past seven calendar days. The data retrieval scope covers all building branches within the area equipped with intelligent balancing valves. The system correlates the branch differential pressure value collected at each moment with the flow rate value at that moment, and calculates the comprehensive impedance value at that moment based on the inherent relationship between the two.

[0059] After obtaining a seven-day continuous impedance time-series dataset, the system enters the core parameter identification phase. The identification objective is to extract the aging and attenuation trend of each branch over time. The system arranges the seven-day data in chronological order and observes the overall trend of impedance value changes with date. Specifically, multiple linear regression is used for analysis, while multiple operating factors that may affect the impedance value are introduced as co-variables, including but not limited to the average supply and return water temperature, average circulating flow rate, and external ambient temperature of the branch during the early morning hours of each day. In the regression analysis, the system uses date and time as the core independent variable, and other operating parameters as auxiliary control variables to jointly explain the changes in impedance time-series data. After regression calculation, the system obtains the "annual attenuation coefficient" for each branch, which characterizes the rate at which the impedance of that branch increases with usage time. For example, a larger aging attenuation coefficient for a branch means that the pipeline is aging faster, requiring compensatory pre-adjustment in the baseline opening setting of its balancing valve.

[0060] After identifying the aging attenuation coefficients of all branches, the system enters the day-night balance benchmark update phase. The original day-night balance benchmark refers to the set of target pressure differential distribution values ​​that the heating network should maintain during different times of the day (peak heating period during the day and off-peak heating period at night). These benchmark values ​​serve as the reference system for daily coordinated adjustments. Due to the aging of the pipeline network year by year, the original benchmark values ​​can no longer accurately adapt to the actual flow capacity of the current pipelines. If not updated, it will lead to systemic deviations during system adjustments. The update logic is as follows: Based on the newly identified aging attenuation coefficient of each branch and the reference impedance record of that branch in the previous year or at the last update, the system calculates the "should" real-time impedance reference value of that branch at the current time. This calculation is actually an aging compensation correction to the original reference value: the more severely aged the branch, the higher its reference impedance value is appropriately adjusted; for branches with slight aging or almost no aging, the reference value remains basically unchanged.

[0061] Furthermore, the above method also includes: continuously calculating the average room temperature value of the building where the current hydraulically most unfavorable point is located over a target number of consecutive time periods; when the average room temperature value is less than the second temperature threshold, generating an operation and maintenance work order containing the building number and the abnormal start and end time, and pushing the operation and maintenance work order to the dispatching computer and the mobile terminal of the operation and maintenance personnel.

[0062] In practice, a dual early warning judgment rule is set: if the average room temperature of the building where the current hydraulic most unfavorable point is located is lower than 16℃ for 4 consecutive hours (i.e., the second temperature threshold), it is judged that the pipeline is blocked or the balancing valve is stuck. Then, an operation and maintenance work order containing the building number and the abnormal start and end time is generated, and a standardized operation and maintenance work order is automatically pushed to the PC dispatch terminal and the operation and maintenance mobile terminal.

[0063] For ease of understanding, this embodiment of the invention also provides a standardized flowchart for tracking and balancing the most unfavorable thermal point across the entire network, see [link / reference]. Figure 3 As shown, it mainly includes: S1: Multi-source operating condition data acquisition and standardized preprocessing.

[0064] Specifically, the individual LoRa room temperature terminals, branch differential pressure and flow acquisition units, and heat exchange station overall operating condition equipment synchronously upload raw monitoring data according to the preset acquisition frequency. The PLC program sequentially completes the over-range abnormal jump rejection, short-term missing data linear interpolation to fill in, unified 5-minute time axis alignment, and physical dimension conversion standardization processing to generate a complete area hydraulic and heating comfort time series dataset for the lower-level impedance calculation unit to call.

[0065] In this embodiment of the invention, branch pressure difference, flow rate, and overall station operating conditions are collected at a uniform 5-minute frequency; individual household room temperature data are uploaded at 15-minute intervals during the day and 60-minute intervals at night; the PLC has multiple built-in data filtering rules to remove out-of-range temperature and flow rate abrupt changes, and short-term missing data is filled in using linear interpolation; all time sequences are uniformly aligned to a 5-minute standard time axis and stored in the calculation cache.

[0066] S2: Calculate and sort branch impedances to identify the most unfavorable building.

[0067] Specifically, the system iterates through all building branches within the area, reads the real-time differential pressure and flow rate values ​​one by one, substitutes them into the industry standard hydraulic formula to calculate the comprehensive impedance of the branch, sorts all impedance values ​​in descending order from high to low, and marks the building with the largest impedance value as the most unfavorable point in real-time hydraulics for this period. At the same time, the average room temperature of the building is extracted for heating constraint verification.

[0068] In this embodiment of the invention, all building branch lines in the area are traversed in a loop, and the real-time pressure difference of each branch line is retrieved. ,flow Timing, substituting into the standard original. = · 2 Calculate the comprehensive impedance value of the branch; sort all impedance values ​​from high to low, and determine the building with the highest impedance value as the current hydraulically most unfavorable point. Simultaneously capture the average room temperature of the building for constraint verification.

[0069] S3: Determine the time period and retrieve the corresponding time-sharing balance benchmark.

[0070] Specifically, the PLC reads the built-in system clock to automatically distinguish between the daytime heating peak and the nighttime insulation trough, retrieves the corresponding balance benchmark, and at the same time verifies whether the average room temperature of the most unfavorable building meets the national standard heating constraint of 18℃.

[0071] In this embodiment of the invention, the built-in clock logic automatically divides the daytime peak period from 7:00 to 23:00 and the nighttime off-peak period from 23:00 to 7:00 the next day, and retrieves the high voltage differential balance reference and the low voltage differential balance reference respectively; synchronous verification is performed. A strict limit of ≥18℃ is applied; if the room temperature is insufficient, the overall circulation pressure difference in the area will be increased to ensure the supply of flow at the end point.

[0072] S4: Global collaborative calculation of the optimal opening degree of the balance valves in each branch.

[0073] Specifically, with the goal of achieving hydraulic balance across the entire area, the adjustment of all branch balance valves is calculated simultaneously, prioritizing the circulation flow of the foundation of the most unfavorable building, while simultaneously compressing excess flow capacity in the near-end branches, and strictly controlling single opening changes to within 3%.

[0074] In this embodiment of the invention, the core control baseline is the room temperature and flow rate of the most unfavorable building. The balance flow area of ​​the near-end branch in the area is reduced simultaneously, and the single opening adjustment range does not exceed 3%. The optimal hydraulic equilibrium condition is gradually approached in multiple gradients to avoid water hammer caused by instantaneous pressure difference impact in old pipelines.

[0075] S5: Issue smooth valve control commands in batches and perform closed-loop verification.

[0076] Specifically, the multi-branch adjustment commands are issued to the field electric balancing valves in batches. The adjustment actions are executed slowly step by step. After the adjustment is completed, the actual valve position is collected and sent back to the PLC. The target opening degree is compared to determine whether there is a problem of valve jamming or failure.

[0077] In this embodiment of the invention, multiple branch adjustment commands are issued in batches, and large-scale valve opening and closing at one time is prohibited; after each round of adjustment, all actual balanced valve positions are collected and transmitted back to the PLC, and the execution accuracy is verified by comparing them with the target opening degree, and the stuck abnormal branches are marked and recorded.

[0078] S6: Periodically refresh hydraulic parameters to update the most unfavorable point.

[0079] Specifically, the branch pressure difference and flow monitoring data are re-collected every 5-minute calculation cycle, the impedance of each branch is recalculated and reordered, the identification of the building with the most unfavorable hydraulic conditions in the area is dynamically updated, and the daily impedance drift changes of the pipe network are adapted.

[0080] In this embodiment of the invention, the branch pressure difference and flow monitoring data are collected again every 5 minutes, and the impedance values ​​of each branch are updated again by substituting them into the standard formula. The labels of the buildings with the most unfavorable hydraulic conditions in the area are reordered and replaced. No manual verification of the points is required throughout the process.

[0081] S7: Daily time series self-learning update balance correction parameters.

[0082] Specifically, a complete hydraulic time series sample of nearly 7 days without faults is extracted every morning at dawn. The pipeline aging attenuation coefficient is fitted by linear regression, and the two sets of day and night balance pressure difference benchmarks are automatically corrected to adapt to the scaling and valve core wear conditions of the pipeline network year by year.

[0083] In this embodiment of the invention, nearly 7 consecutive days of valid hydraulic time series samples are retrieved every morning to continuously generate impedance datasets. Multiple linear regression is used to fit the aging attenuation coefficient, and the day-night balance pressure difference benchmark is automatically corrected to improve the accuracy of hydraulic matching in the area year by year.

[0084] S8: Automatically push early warning work orders when the temperature remains low at the most unfavorable point.

[0085] Specifically, the system continuously calculates the average room temperature of the most unfavorable building. If the average room temperature is below 16°C for four consecutive hours, the system automatically determines that there is a pipe blockage or valve jamming fault, and generates a maintenance work order with the building number and the abnormal period, which is then pushed to the dispatch computer and the maintenance mobile terminal.

[0086] In this embodiment of the invention, the continuous room temperature data of the most unfavorable building is continuously monitored. If the average temperature is below 16°C for 4 consecutive hours, an early warning mechanism is triggered. The work order is automatically marked with the faulty building and the start and end time of the abnormality, and is simultaneously pushed to the PC dispatch terminal and the mobile terminal of the operation and maintenance personnel.

[0087] S9: Automatic cyclical calculation with a 5-minute cycle, all day long.

[0088] Specifically, the entire S1 to S8 complete calculation process cycles every 5 minutes, and runs automatically 24 hours a day during the heating season. Only the basic pipeline parameters of the area are entered at the beginning of the heating season, and no maintenance personnel are required to adjust the balancing valve throughout the year.

[0089] In this embodiment of the invention, the PLC controller completes a full calculation cycle every 5 minutes, and the entire process of data acquisition, impedance calculation, point identification, coordinated valve adjustment, self-learning, and early warning runs uninterrupted; only the number of branch lines and basic pipeline parameters in the area are entered at the beginning of the heating season, and there is no need for on-site manual adjustment of the balancing valve throughout the entire heating operation cycle.

[0090] Furthermore, in this embodiment of the invention, the overall operating condition acquisition unit of the heat exchange station's pipeline network is used to collect the global pipeline network operation benchmark parameters, providing safety constraints for the upper and lower limits of the overall differential pressure control in the area. Specifically, temperature, differential pressure, and circulating pump frequency acquisition devices are installed on the primary and secondary supply and return water mains of the heat exchange station, and the global operating condition of the entire station is collected synchronously every 5 minutes. The system has built-in pipeline network overpressure and negative pressure protection thresholds, which serve as hydraulic safety constraints in the collaborative balance calculation process to prevent pipeline damage caused by negative or overpressure during batch valve adjustment.

[0091] In one implementation, the overall operating parameters of the heat exchange station's network are collected by the overall operating condition acquisition unit, including but not limited to differential pressure, temperature, and flow rate. Upper and lower limits for each operating parameter are then set based on the collected data. When adjusting the opening of the electric balancing valves on each building branch, it is necessary to ensure that the operating parameters of each building branch are within the upper and lower limits of the safety constraints.

[0092] The above-mentioned method for tracking and balancing the most unfavorable point in the overall thermal system provided in this invention establishes an integrated system for collecting pressure difference, flow rate, and room temperature data for each household. It calculates the impedance of each branch in real time using hydraulic standard formulas and automatically identifies the hydraulically most unfavorable building 24 hours a day by sorting by impedance in descending order. This completely eliminates the need for traditional manual temperature measurement and on-site inspection, significantly reducing frontline maintenance manpower costs. It employs a global collaborative balancing logic for the entire branch system, using a minimum room temperature of 18℃ as a hard constraint. All valves are synchronously adjusted with small linkages, with single opening controlled within 3%. This eliminates the long-standing industry pain point of network-wide flow oscillation and temperature differentiation caused by single-acting valves, based on hydraulic mechanisms. It utilizes two systems: daytime supply guarantee from 7:00 to 23:00 and nighttime heat storage from 23:00 to 7:00 the next day. An independent balancing benchmark, relying on automatic switching of the equipment clock, fully utilizes the heat storage of building walls to reduce the ineffective power consumption of the nighttime circulation pump without compromising heating comfort. It is equipped with a wireless closed-loop correction link for individual households' room temperature, breaking away from the outdated model of relying solely on single differential pressure control within the station. This addresses the root cause of complaints about the imbalance between adequate network differential pressure and insufficient room temperature in end-user households. A seven-day hydraulic time-series database is constructed, and the aging and attenuation coefficient of the pipeline is fitted daily based on historical data to adaptively update the balancing benchmark, gradually reducing the frequency of annual door-to-door balancing valve readjustment for the entire community. It also features a joint early warning mechanism for the most unfavorable building experiencing prolonged low temperatures, automatically identifying pipeline and valve blockages when the room temperature is below 16℃ for four consecutive hours, proactively pushing out work orders for proactive handling of potential hazards.

[0093] Regarding the method for tracking and balancing the most unfavorable thermal points across the entire network provided in the foregoing embodiments, this invention also provides a device for tracking and balancing the most unfavorable thermal points across the entire network, see [link to relevant documentation]. Figure 4 The schematic diagram shown illustrates the structure of a network-wide thermal most unfavorable point tracking and balancing device, indicating that the device mainly comprises the following parts: The data acquisition module 401 is used to collect the differential pressure signal, flow signal and the room temperature signal of each building branch, and calculate the average room temperature value of each building based on the room temperature signal.

[0094] The most unfavorable point identification module 402 is used to calculate the comprehensive impedance value of each building branch based on the differential pressure signal and the flow signal, and to identify the current hydraulically most unfavorable point based on the comprehensive impedance value.

[0095] The balance control module 403 is used to obtain a balance reference if the average room temperature value of the building where the current hydraulically most unfavorable point is located is greater than or equal to a first temperature threshold, and based on the balance reference, calculate and adjust the opening degree of the electric balance valve of each building branch with the individual room temperature signal as a constraint.

[0096] The above-mentioned whole-network thermal most unfavorable point tracking and balancing device provided in this embodiment of the invention establishes a distributed multi-source acquisition architecture for differential pressure, flow rate, and room temperature of individual branch lines. It collects differential pressure signals, flow rate signals, and room temperature signals of individual units in each building branch line, and calculates the comprehensive impedance value of each building branch line based on the differential pressure signal and flow rate signal. The comprehensive impedance value is used to identify the current hydraulic most unfavorable point, thereby eliminating the need for manual on-site temperature measurement and significantly reducing the workload of on-site operation and maintenance inspection. At the same time, using the room temperature signal of the building where the current hydraulic most unfavorable point is located as a constraint, the target opening degree of the electric balancing valve of each building branch line is calculated and adjusted. From the hydraulic mechanism perspective, this eliminates the hydraulic oscillation of the whole network caused by single-branch adjustment and eradicates the problem of polar imbalance between near-end overheating and far-end low temperature in the area.

[0097] In one implementation, the aforementioned average room temperature value is the weighted average of the room temperature signals of all households in the building where the current hydraulically most unfavorable point is located; wherein, the weighting weight is determined based on the building area and number of households.

[0098] In one embodiment, the aforementioned balance control module 403 is specifically used to: determine the time period to which the current time belongs based on the built-in system clock of the heating station PLC; if the time period to which the current time belongs is the first interval, then retrieve the daytime high pressure differential balance reference; if the time period to which the current time belongs is the second interval, then retrieve the nighttime low pressure differential balance reference.

[0099] In one embodiment, the aforementioned balance control module 403 is specifically used to: calculate the target opening degree of the electric balance valves of all near-end branches and far-end branches in the area's pipe network based on the balance benchmark; and adjust the opening degree of the electric balance valves of each building branch based on the target opening degree and the individual room temperature signal as a constraint.

[0100] In one embodiment, the aforementioned balance control module 403 is specifically used to: generate synchronous adjustment commands for each building branch based on the target opening degree of the electric balance valves of each building branch; based on the synchronous adjustment commands, control all balance valves participating in the adjustment in the area pipe network to perform a single action; wherein, the absolute value of the opening adjustment amplitude of the single action does not exceed the preset value, and the opening adjustment is performed in a smooth segmented manner according to a preset multi-gradient time series; after each gradient of the multi-gradient time series is completed, with the room temperature at the current hydraulically most unfavorable point approaching the set value as the target, synchronously narrow the opening degree of the balance valve of the near-end branch until the overall pressure difference distribution of the area pipe network converges to the preset equilibrium range.

[0101] In one embodiment, the above-mentioned device further includes a balance reference correction module, which is used to: extract time-series data without abnormal markers within a preset time period at a preset time point to generate a continuous impedance sequence; perform linear fitting on the continuous impedance sequence to obtain the pipeline aging attenuation coefficient, and correct the balance reference based on the pipeline aging attenuation coefficient.

[0102] In one embodiment, the device further includes an early warning module, which is used to: continuously count the average room temperature value of the building where the current hydraulically most unfavorable point is located over a target time period of a continuous preset number; when the average room temperature value is less than a second temperature threshold, generate an operation and maintenance work order containing the building number and the abnormal start and end time, and push the operation and maintenance work order to the dispatching computer and the mobile terminal of the operation and maintenance personnel.

[0103] It should be noted that the device provided in this embodiment of the invention has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment. The specific numerical values ​​provided in this embodiment are merely exemplary and are not intended to limit the scope of the invention.

[0104] This invention also provides an electronic device, specifically, the electronic device includes a processor and a storage device; the storage device stores a computer program, and the computer program, when run by the processor, executes the method described in any of the above embodiments.

[0105] Figure 5 The present invention provides a schematic diagram of the structure of an electronic device 100, which includes a processor 50, a memory 51, a bus 52 and a communication interface 53. The processor 50, the communication interface 53 and the memory 51 are connected through the bus 52. The processor 50 is used to execute executable modules, such as computer programs, stored in the memory 51.

[0106] The memory 51 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 53 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0107] Bus 52 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0108] The memory 51 is used to store programs. After receiving an execution instruction, the processor 50 executes the programs. The method executed by the device for defining the flow process disclosed in any of the foregoing embodiments of the present invention can be applied to the processor 50 or implemented by the processor 50.

[0109] Processor 50 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 50 or by instructions in software form. Processor 50 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 51. The processor 50 reads the information in memory 51 and, in conjunction with its hardware, completes the steps of the above method.

[0110] The computer program product of the readable storage medium provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the foregoing method embodiments. For specific implementation, please refer to the foregoing method embodiments, which will not be repeated here.

[0111] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0112] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, 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 covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for tracking and balancing the most unfavorable thermal point across an entire network, characterized in that, include: Collect the differential pressure signal, flow signal and the individual room temperature signal of each building branch, and calculate the average room temperature value of each building based on the individual room temperature signal; The comprehensive impedance value of each building branch is calculated based on the differential pressure signal and flow rate signal, and the most unfavorable hydraulic point is identified based on the comprehensive impedance value. If the average room temperature of the building where the current hydraulically most unfavorable point is located is greater than or equal to the first temperature threshold, then a balance reference is obtained, and based on the balance reference, the opening degree of the electric balance valve of each building branch is calculated and adjusted with the individual room temperature signal as a constraint.

2. The method according to claim 1, characterized in that, The average room temperature value is the weighted average of the room temperature signals of all households in the building where the current hydraulically most unfavorable point is located; where the weighting is determined based on the building area and number of households.

3. The method according to claim 1, characterized in that, Obtaining the equilibrium benchmark includes: Determine the current time period based on the built-in system clock of the heating station's PLC; If the current time period belongs to the first interval, then retrieve the inter-day high pressure difference balance benchmark; If the current time period belongs to the second interval, then the nighttime low pressure differential balance reference is retrieved.

4. The method according to claim 1, characterized in that, Based on the aforementioned balance benchmark, and using the individual household room temperature signals as constraints, the opening degree of the electric balance valves on each building branch is calculated and adjusted, including: Using the aforementioned balance benchmark as a reference, calculate the target opening degree of the electric balance valves for all near-end branches and far-end branches in the area's pipe network; Based on the target opening degree, and using the individual room temperature signal as a constraint, the opening degree of the electric balancing valve of each building branch is adjusted.

5. The method according to claim 4, characterized in that, Based on the target opening degree, and using the individual household room temperature signal as a constraint, the opening degree of the electric balancing valve of each building branch is adjusted, including: Synchronous adjustment commands for each building branch are generated based on the target opening degree of the electric balancing valve of each building branch. Based on the synchronous adjustment command, all balancing valves participating in the adjustment in the area pipeline network are controlled to perform a single action; wherein, the absolute value of the opening adjustment amplitude of the single action does not exceed the preset value, and the opening adjustment is performed in a smooth segmented manner according to a preset multi-gradient time sequence. After each gradient of the multi-gradient time series is completed, with the room temperature at the current hydraulically most unfavorable point approaching the set value, the opening of the near-end branch balancing valve is simultaneously narrowed until the overall pressure difference distribution of the area network converges to the preset equilibrium range.

6. The method according to claim 1, characterized in that, Also includes: At a preset time point, extract time series data without abnormal markers within a preset time period to generate a continuous impedance sequence; The continuous impedance sequence is linearly fitted to obtain the pipeline aging attenuation coefficient, and the balance reference is corrected based on the pipeline aging attenuation coefficient.

7. The method according to claim 1, characterized in that, Also includes: Continuously collect the average room temperature value of the building where the current hydraulically most unfavorable point is located over a continuously preset target number of time periods; When the average room temperature value is less than the second temperature threshold, an operation and maintenance work order containing the building number and the abnormal start and end time is generated, and the operation and maintenance work order is pushed to the dispatch terminal computer and the mobile terminal of the operation and maintenance personnel.

8. A network-wide thermally most unfavorable point tracking and balancing device, characterized in that, include: The data acquisition module is used to collect the differential pressure signal, flow signal and the individual room temperature signal of each building branch, and calculate the average room temperature value of each building based on the individual room temperature signal. The most unfavorable point identification module is used to calculate the comprehensive impedance value of each building branch based on the pressure difference signal and flow signal, and to identify the current hydraulically most unfavorable point based on the comprehensive impedance value; The balance control module is used to obtain a balance reference if the average room temperature value of the building where the current hydraulically most unfavorable point is located is greater than or equal to a first temperature threshold, and to calculate and adjust the opening degree of the electric balance valve of each building branch based on the balance reference and the individual room temperature signal as a constraint.

9. An electronic device, characterized in that, The method includes a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program is executed by the processor to perform the steps of the method described in any one of claims 1 to 7.

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