Constant pressure water supply control method for towerless water supply equipment

Abstract

The present application belongs to the field of constant pressure water supply control, in particular to a constant pressure water supply control method of tower-free water supply equipment, comprising the following steps: S1, presetting equipment initial operation parameters and partition parameters, the initial operation parameters including tower-free water supply equipment outlet reference pressure, pipe network basic parameters and water supply scene parameters, and the target water supply area is divided into low-level water supply area, middle-level water supply area and high-level water supply area according to vertical height in advance, the present application accurately calculates the three-dimensional pressure loss of pipe network along the way, local pipe and height by partitioning the water supply area into high and low levels and matching independent loss correction coefficients, and dynamically corrects the equipment outlet steady pressure setting value with the most unfavorable water supply point pressure standard as the core reference. The steady pressure parameter can be dynamically fine-tuned according to the real-time water flow, the dynamic loss is compensated when the flow increases, the remote high-level water supply pressure is ensured to be sufficient, the steady pressure reference is reduced when the flow decreases, and overpressure of low-level pipe network is avoided.

Description

Technical Field

[0001] This invention relates to the field of constant pressure water supply control technology, and in particular to a constant pressure water supply control method for a towerless water supply system. Background Technology

[0002] Tankless water supply systems are widely used in various water supply scenarios, including residential communities, rural water supply, industrial production, and building water supply, due to their advantages of not requiring water towers, convenient installation, small footprint, and wide applicability. Constant pressure water supply control is the core technology to ensure water supply stability, safety, and energy efficiency. Currently, most traditional tankless water supply constant pressure control methods adopt a single fixed outlet pressure stabilization mode, simply adjusting the frequency based on the outlet pressure, which has many shortcomings in practical applications.

[0003] First, traditional control methods do not consider the differentiated losses under various pipeline conditions. Actual water supply networks suffer from losses along the pipeline route, losses at elbows and valves, and pressure differences between floors. Furthermore, the flow velocity varies with different water flow rates, resulting in dynamic pressure loss. Fixed pressure stabilization cannot compensate for differentiated pressure based on supply height, supply distance, and flow fluctuations. This easily leads to insufficient water pressure in high-rise buildings, weak water flow at the end of the water supply line, and excessively high pressure in lower-floor areas. This not only wastes water and electricity but also poses safety hazards such as pipe bursts and aging / damaged fittings in lower-floor areas due to long-term high-pressure operation.

[0004] Secondly, existing technologies have poor anti-interference capabilities and low pressure stabilization accuracy. Under transient conditions of sudden increases or decreases in water consumption in the pipeline network, the pipeline pressure will fluctuate violently. Traditional control modes have a delayed response and cannot achieve proactive compensation, resulting in prominent pressure fluctuation problems. At the same time, abnormal power supply conditions such as voltage fluctuations, undervoltage, and overvoltage in the power grid will directly cause deviations in the frequency converter output power and speed of the water pump, further reducing the accuracy of constant pressure control and failing to guarantee the stability of water supply under complex conditions.

[0005] Furthermore, traditional control methods lack the ability to adaptively iterate based on pipeline network conditions. After long-term operation, water supply networks inevitably experience problems such as pipe scaling, internal corrosion, and aging, leading to continuous changes in network pressure loss parameters. Conventional loss calculation models with fixed parameters cannot adapt to the changing operating conditions throughout the entire lifecycle of the pipeline network. Over long-term operation, the deviation between theoretical control parameters and actual network conditions continues to increase, resulting in a significant reduction in pressure stabilization effectiveness. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of existing technologies by proposing a constant pressure water supply control method for a towerless water supply system.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: A constant pressure water supply control method for a towerless water supply system includes the following steps: S1. Preset the initial operating parameters and zoning parameters of the equipment. The initial operating parameters include the reference pressure of the outlet of the towerless water supply equipment, the basic parameters of the pipeline network and the parameters of the water supply scenario. The target water supply area is divided into low-level water supply area, middle-level water supply area and high-level water supply area according to the vertical height in advance, and a corresponding height loss correction coefficient is independently matched for each height zone. S2. Real-time collection of water supply operation data: Real-time collection of water flow rate and flow rate change rate of the pipeline network through flow sensor; Combined with preset pipeline network basic parameters and water supply height parameters, real-time calculation of pipeline network friction pressure loss, local pipe fitting pressure loss and height pressure difference loss, and superposition to obtain the real-time total pressure loss value of the pipeline network. S3. Determine the most unfavorable water supply point. Based on the preset target water supply area, locate the most unfavorable water supply point with the farthest water supply distance, the highest vertical height, and the greatest pipeline resistance. Use the preset rated water supply pressure of the most unfavorable water supply point as the water supply benchmark. S4. Multi-dimensional dynamic correction of the outlet constant pressure setting value: Based on the rated water supply pressure of the most unfavorable water supply point as the basic pressure benchmark, the real-time total pressure loss value of the pipeline network is superimposed, and the loss correction coefficient of each floor height zone is combined to perform zoned differential pressure compensation, and the basic target stable pressure value of the outlet of the towerless water supply equipment is corrected in reverse; At the same time, the transient impact conditions of the pipeline network are identified based on the real-time flow change rate. When a sudden increase or decrease in flow is detected, the parameters of the current pipeline network loss calculation model are locked, and the preset transient pressure compensation amount is superimposed to make advance correction to the target stable pressure value, suppressing pressure oscillation. After the transient condition ends, the normal control mode is automatically restored. S5. Adaptive variable frequency pressure regulation: Real-time acquisition of the actual pressure at the equipment outlet, comparison with the corrected real-time target pressure value, and dynamic adjustment of the pump speed through variable frequency speed regulation to ensure that the actual pressure at the outlet accurately matches the target pressure value, taking into account both sufficient water supply pressure in high-rise buildings and safe pressure in low-rise pipe networks, and achieving uniform constant pressure water supply throughout the entire pipe network and all floors. S6. Pipeline loss self-learning and iterative update: During long-term operation, the equipment continuously collects actual pipeline pressure loss data under different flow rates and operating conditions, compares and fits it with the theoretically calculated total pipeline pressure loss value, obtains the dynamic loss correction coefficient caused by pipeline aging and scale accumulation, and periodically iteratively updates the pipeline pressure loss calculation model parameters to adapt to the loss changes throughout the entire pipeline life cycle.

[0008] Preferably, it also includes a low-flow sleep pressure maintenance control step: the equipment monitors the water flow rate and pressure decay rate of the pipeline in real time. When it detects that the pipeline is in a low-flow or zero-flow standby condition for a long time, it adaptively reduces the pump operating frequency in combination with the real-time loss parameters of the pipeline to maintain a micro-pressure maintenance state; when the pressure slowly drops to the warning threshold, it accurately replenishes the pressure. After the pressure replenishment is completed, it enters a low-power sleep mode, taking into account both the standby pressure stabilization effect and the energy-saving performance of the equipment.

[0009] Preferably, it also includes a voltage fluctuation adaptive compensation step: real-time acquisition of power supply voltage parameters, and when grid voltage fluctuation, undervoltage or overvoltage conditions are detected, dynamic correction of the pump frequency converter output power and speed matching parameters based on the voltage fluctuation coefficient is performed to offset the output pressure deviation caused by voltage abnormality and ensure that the constant pressure accuracy of the pipeline network does not fail under voltage disturbance conditions.

[0010] Preferably, it also includes an adaptive identification and control step for water leakage faults: the equipment combines real-time flow, pressure decay rate and pipeline loss model data to intelligently distinguish between normal water usage fluctuations and minor water leakage faults in the pipeline network; after identifying minor water leakage conditions, it adaptively optimizes the pressure replenishment frequency and pressure stabilization threshold to avoid frequent start-stop idling of the equipment, while continuously monitoring the fault status, and actively pushing water leakage fault alarm signals after abnormalities accumulate.

[0011] Preferably, in step S2, the pressure loss along the pipeline is calculated using the Darcy-Weisbach formula combined with real-time flow dynamics; the pressure loss of local pipe fittings is calculated based on the number of elbows, valves, and joints in the pipeline and the real-time water flow velocity, matching the corresponding loss coefficient; and the height differential pressure loss is accurately calculated based on the real-time water supply floor height and water gravity parameters.

[0012] Preferably, in step S3, the most unfavorable water supply point is determined by comprehensively considering three-dimensional parameters such as distance, vertical height, and pipeline resistance. The water pressure at the most unfavorable water supply point meets the standard as the core benchmark, ensuring that the water supply pressure in the remaining water supply areas meets the rated demand and fully covers the pipeline network water supply pressure standard.

[0013] Preferably, in step S4, the outlet pressure stabilization benchmark is dynamically fine-tuned according to the real-time flow rate of the pipeline: when the real-time outlet flow rate increases and the pipeline flow velocity accelerates, the target pressure stabilization value of the outlet is automatically increased to compensate for dynamic incremental losses; when the real-time outlet flow rate decreases and the pipeline flow velocity slows down, the target pressure stabilization value of the outlet is automatically decreased to avoid excessive pressure at the near end of the pipeline, resource waste, and the risk of pipe burst.

[0014] Preferably, in step S6, the loss correction coefficient adopts a periodic small-scale iterative update mechanism, updates the model parameters according to a preset fixed period, and uses a fine-tuning threshold for each update to prevent pipeline pressure fluctuations caused by parameter mutations; when the loss correction coefficient exceeds the preset safety threshold, a maintenance early warning prompt for pipeline aging and scaling blockage is automatically triggered.

[0015] Preferably, it also includes a steady-state pressure calibration step: when the water flow rate of the pipeline network is continuously stable within the preset steady-state flow range and the duration reaches the set threshold, the equipment automatically starts the steady-state calibration mode, collects pressure data from multiple points in the pipeline network, compares and verifies the deviation between the theoretical loss model and the actual operating conditions, optimizes the model calculation parameters, and improves the pressure stabilization accuracy under steady-state water use conditions.

[0016] Preferably, in step S1, the basic parameters of the pipeline network include the total length of the pipeline network, the pipe diameter, the pipe roughness, the number of bends, and the pipeline layout coefficient, and the water supply scenario parameters include the real-time water supply height and the target water supply area.

[0017] The beneficial effects of the constant pressure water supply control method for a towerless water supply system described in this invention are as follows: 1. Achieve differentiated and precise constant pressure water supply across the entire pipeline network, solving the problem of uneven water supply pressure in traditional systems. This invention divides the water supply area into high and low-level zones and matches independent loss correction coefficients. It accurately calculates the three-dimensional pressure loss along the pipeline, at local pipe fittings, and at height. Using the pressure at the most unfavorable water supply point as the core benchmark, it dynamically corrects the pressure stabilization setting value at the equipment outlet. The pressure stabilization parameters can be dynamically fine-tuned according to real-time water flow. When the flow increases, it compensates for dynamic losses and ensures sufficient water supply pressure at distant high-rise buildings. When the flow decreases, it lowers the pressure stabilization benchmark to avoid overpressure in the lower-level pipeline network. This completely solves the industry pain points of water shortage in high-rise buildings and overpressure in low-rise buildings under the traditional fixed pressure stabilization mode, effectively avoiding safety hazards such as pipe bursts and pipe fitting damage, and significantly improving the uniformity and stability of water supply across the entire pipeline network.

[0018] 2. Possesses transient shock resistance and power supply disturbance adaptive compensation capabilities, significantly improving voltage stabilization accuracy. This invention can identify transient impact conditions such as sudden increases and decreases in pipeline flow in real time, and suppress pressure oscillations through parameter locking and advanced pressure compensation mechanisms, solving the problems of delayed response and large pressure fluctuations in traditional control systems. At the same time, it adds voltage fluctuation adaptive compensation logic, which can dynamically correct pump operating parameters under abnormal voltage conditions, offsetting pressure deviations caused by power grid disturbances, effectively improving the constant pressure control accuracy under complex power supply and water use conditions, and adapting to various complex water supply scenarios.

[0019] 3. Possesses self-learning and iterative capabilities throughout the entire pipeline lifecycle, adapting to long-term changes in equipment operating conditions. This invention breaks through the limitations of traditional fixed-parameter loss models. By collecting actual pipeline operation data over a long period, it continuously fits and iteratively updates the loss correction coefficient, adaptively compensating for pressure loss changes caused by pipeline aging, scale buildup, and pipeline corrosion. Simultaneously, it employs a small-scale iterative update mode to prevent water supply fluctuations caused by sudden parameter changes. Furthermore, it can automatically trigger pipeline maintenance early warnings, achieving intelligent equipment operation and maintenance, significantly extending the service life of equipment and pipelines, and ensuring long-term pressure stabilization.

[0020] 4. Balancing energy-saving operation and intelligent fault identification, the level of intelligence is significantly improved. This invention features a low-flow sleep-and-hold pressure-maintaining mechanism, which adaptively reduces the pump frequency and enters a low-power sleep mode under low-load standby conditions, significantly reducing equipment energy consumption while ensuring low-pressure maintenance of the pipeline network. Simultaneously, it can intelligently distinguish between normal water usage fluctuations and minor pipeline leaks, optimizing pressure replenishment logic, avoiding frequent start-stop idling, and proactively pushing alarm signals for leaks and pipeline aging faults. This enables early warning and intelligent prevention of faults, reducing equipment maintenance costs and pipeline leakage losses, and combining safety, energy efficiency, and intelligence advantages.

[0021] 5. A steady-state calibration mechanism has been added to further optimize control accuracy. Under steady-state water use conditions in the pipeline network, multi-point pressure calibration is automatically initiated to correct the deviation between the theoretical model and the actual operating conditions, continuously optimizing control parameters. This makes the pressure stabilization effect of the equipment more accurate in daily stable water use scenarios, adapting to various normalized water supply needs such as civil and industrial use. It has a wide range of applications and is highly practical. Attached Figure Description

[0022] Figure 1 This is a flowchart of a constant pressure water supply control method for a towerless water supply device proposed in this invention. Detailed Implementation

[0023] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Example 1

[0024] Reference Figure 1 A constant pressure water supply control method for a towerless water supply system includes the following steps: S1. Preset the initial operating parameters and zoning parameters of the equipment. The initial operating parameters include the reference pressure of the outlet of the towerless water supply equipment, the basic parameters of the pipeline network and the parameters of the water supply scenario. The target water supply area is divided into low-level water supply area, middle-level water supply area and high-level water supply area according to the vertical height, and the corresponding height loss correction coefficient is matched independently for each height zone. S2. Real-time collection of water supply operation data: Real-time collection of water flow rate and flow rate change rate of the pipeline network through flow sensor; Combined with preset pipeline network basic parameters and water supply height parameters, real-time calculation of pipeline network friction pressure loss, local pipe fitting pressure loss and height pressure difference loss, and superposition to obtain the real-time total pressure loss value of the pipeline network. S3. Determine the most unfavorable water supply point. Based on the preset target water supply area, locate the most unfavorable water supply point with the farthest water supply distance, the highest vertical height, and the greatest pipeline resistance. Use the preset rated water supply pressure of the most unfavorable water supply point as the water supply benchmark. S4. Multi-dimensional dynamic correction of the outlet constant pressure setting value: Based on the rated water supply pressure of the most unfavorable water supply point as the basic pressure benchmark, the real-time total pressure loss value of the pipeline network is superimposed, and the loss correction coefficient of each floor height zone is combined to perform zoned differential pressure compensation, and the basic target stable pressure value of the outlet of the towerless water supply equipment is corrected in reverse; At the same time, the transient impact conditions of the pipeline network are identified based on the real-time flow change rate. When a sudden increase or decrease in flow is detected, the parameters of the current pipeline network loss calculation model are locked, and the preset transient pressure compensation amount is superimposed to make advance correction to the target stable pressure value, suppressing pressure oscillation. After the transient condition ends, the normal control mode is automatically restored. S5. Adaptive variable frequency pressure regulation: Real-time acquisition of the actual pressure at the equipment outlet, comparison with the corrected real-time target pressure value, and dynamic adjustment of the pump speed through variable frequency speed regulation to ensure that the actual pressure at the outlet accurately matches the target pressure value, taking into account both sufficient water supply pressure in high-rise buildings and safe pressure in low-rise pipe networks, and achieving uniform constant pressure water supply throughout the entire pipe network and all floors. S6. Pipeline loss self-learning and iterative update: During long-term operation, the equipment continuously collects actual pipeline pressure loss data under different flow rates and operating conditions, compares and fits it with the theoretically calculated total pipeline pressure loss value, obtains the dynamic loss correction coefficient caused by pipeline aging and scale accumulation, and periodically iteratively updates the pipeline pressure loss calculation model parameters to adapt to the loss changes throughout the entire pipeline life cycle.

[0025] In this embodiment, a low-flow sleep pressure maintenance control step is also included: the equipment monitors the water flow rate and pressure decay rate of the pipeline in real time. When it is detected that the pipeline is in a low-flow or zero-flow standby condition for a long time, the pump operating frequency is adaptively reduced in combination with the real-time loss parameters of the pipeline to maintain a micro-pressure maintenance state. When the pressure slowly drops to the warning threshold, the pressure is accurately replenished. After the pressure is replenished, the device enters a low-power sleep mode, which takes into account both the standby pressure stabilization effect and the energy-saving performance of the equipment.

[0026] In this embodiment, an adaptive voltage fluctuation compensation step is also included: real-time acquisition of power supply voltage parameters; when grid voltage fluctuation, undervoltage or overvoltage conditions are detected, the pump frequency converter output power and speed matching parameters are dynamically corrected based on the voltage fluctuation coefficient to offset the output pressure deviation caused by voltage abnormality and ensure that the constant pressure accuracy of the pipeline network does not fail under voltage disturbance conditions.

[0027] In this embodiment, an adaptive identification and control step for water leakage faults is also included: the equipment combines real-time flow, pressure decay rate and pipeline loss model data to intelligently distinguish between normal water usage fluctuations and minor water leakage faults in the pipeline network; after identifying minor water leakage conditions, the pressure replenishment frequency and pressure stabilization threshold are adaptively optimized to avoid frequent start-stop idling of the equipment, while continuously monitoring the fault status, and actively pushing water leakage fault alarm signals after abnormalities accumulate.

[0028] In this embodiment, in step S2, the pressure loss along the pipeline is calculated using the Darcy-Weisbach formula combined with real-time flow dynamics. The pressure loss of local pipe fittings is calculated based on the number of elbows, valves, and joints in the pipeline and the real-time water flow velocity, matching the corresponding loss coefficient. The height differential pressure loss is accurately calculated based on the real-time water supply floor height and water gravity parameters.

[0029] In this embodiment, in step S3, the most unfavorable water supply point is determined by comprehensively considering three-dimensional parameters such as distance, vertical height, and pipeline resistance. The water pressure at the most unfavorable water supply point meets the standard as the core benchmark, ensuring that the water supply pressure in the remaining water supply areas meets the rated requirements and fully covers the pipeline network water supply pressure standard.

[0030] In this embodiment, in step S4, the outlet pressure stabilization benchmark is dynamically adjusted according to the real-time flow rate of the pipeline: when the real-time outlet flow rate increases and the pipeline flow velocity accelerates, the target pressure stabilization value of the outlet is automatically increased to compensate for dynamic incremental losses; when the real-time outlet flow rate decreases and the pipeline flow velocity slows down, the target pressure stabilization value of the outlet is automatically decreased to avoid excessive pressure at the near end of the pipeline, resource waste, and the risk of pipe burst.

[0031] In this embodiment, in step S6, the loss correction coefficient adopts a periodic small-scale iterative update mechanism, updates the model parameters according to a preset fixed period, and uses a fine-tuning threshold for each update to prevent pipeline pressure fluctuations caused by parameter mutations; when the loss correction coefficient exceeds the preset safety threshold, a maintenance early warning prompt for pipeline aging and scaling blockage is automatically triggered.

[0032] In this embodiment, a steady-state pressure calibration step is also included: when the water flow rate of the pipeline network is continuously stable within the preset steady-state flow range and the duration reaches the set threshold, the equipment automatically starts the steady-state calibration mode, collects pressure data from multiple points in the pipeline network, compares and verifies the deviation between the theoretical loss model and the actual operating conditions, optimizes the model calculation parameters, and improves the pressure stabilization accuracy under steady-state water use conditions.

[0033] In this embodiment, in step S1, the basic parameters of the pipeline network include the total length of the pipeline network, the pipe diameter, the pipe roughness, the number of bends, and the pipeline layout coefficient, while the water supply scenario parameters include the real-time water supply height and the target water supply area. Example 2

[0034] This embodiment, based on the original core steps S1-S6, adapts to scenarios with multiple water pumps connected in parallel for water supply, and optimizes the multi-pump collaborative control logic. The specific core improvements and additional steps are as follows: In the original S1 parameter preset steps, a new multi-pump unit parameter preset has been added, including the number of working water pumps, the rated power of a single pump, the start-stop priority, the parallel coordination threshold, and the pump unit rotation cycle. At the same time, in response to the coupling loss of the multi-pump parallel pipeline, a pump unit linkage loss correction coefficient has been added to match the local pressure loss characteristics after the water from multiple pumps merges.

[0035] Based on the existing S5 adaptive variable frequency pressure regulation steps, a multi-pump linkage regulation logic is added: the equipment dynamically allocates the pump group operating status according to the real-time water flow rate and pipeline pressure loss value. Under low flow conditions, single pump variable frequency pressure regulation is used; under medium flow conditions, dual pump variable frequency collaborative operation is started to evenly distribute the operating load; under high flow peak conditions, all pump groups are put into operation, and the total water supply pressure demand is matched through variable frequency speed regulation. At the same time, a pump group rotation mechanism is set up to automatically switch the main and auxiliary water pumps according to a preset cycle, avoiding the aging of single pumps due to long-term high-frequency operation and balancing the service life of each water pump.

[0036] This embodiment adds a multi-pump differential pressure balancing control step: real-time acquisition of the outlet pressure, operating frequency and load rate of each water pump; when the output differential pressure between parallel water pumps exceeds the preset balancing threshold, the variable frequency output parameters of each pump are dynamically fine-tuned to eliminate internal losses and backflow between pump groups, ensuring synchronous outlet pressure and balanced flow of multiple pumps, and solving the problems of disordered water supply pressure and high energy consumption of multiple pumps in parallel.

[0037] The remaining functions, such as S2 pipeline loss calculation, S3 determination of the most unfavorable water supply point, S4 dynamic pressure correction, S6 self-learning iteration, and the original low flow sleep, voltage compensation, leakage detection, and steady-state calibration functions, are all consistent with the first basic embodiment. Example 3

[0038] This embodiment addresses scenarios with significant peak and off-peak water usage, such as residential communities and industrial areas. Based on the fundamental control method framework, it adds a time-sharing and zone-based refined control strategy, with specific improvements as follows: The original S1 step has been updated with a new water usage period zoning preset, which divides the whole day into three modes: peak water usage period, off-peak period, and low-peak period. For each period, the optimal pressure compensation coefficient, flow response threshold, and pressure stabilization accuracy parameters for each floor zone are configured independently, and historical water usage data for the same period is stored as the control benchmark.

[0039] In the S4 multi-dimensional pressure correction process, time-based adaptive correction logic is superimposed: the equipment matches the current operating period in real time, automatically increases the pressure compensation threshold of each zone during peak hours, predicts the demand for large flow of water in advance, and eliminates the problem of insufficient water pressure in high-rise buildings; during off-peak hours, a conventional precise pressure stabilization mode is adopted to balance water supply pressure and energy consumption; during off-peak hours, the dynamic compensation amount is significantly reduced to strictly control the risk of overpressure in the lower-level pipe network and reduce the pressure redundancy loss in the pipe network.

[0040] This embodiment adds a water usage habit self-learning step: the equipment counts water flow and pressure fluctuation data for each time period and each floor zone every day, iteratively optimizes the time-zone pressure parameters, and automatically adapts the control strategy for different water usage scenarios such as holidays, nights, and days, to achieve adaptive closed-loop control of "scenario recognition - time period matching - precise pressure adjustment".

[0041] The remaining core steps and additional auxiliary control functions are consistent with those in Example 1. Example 4

[0042] This embodiment is adapted to extreme environmental conditions such as high temperature, low temperature, and high altitude. It optimizes the issues of water density, pipeline loss, and pump operating efficiency deviation caused by changes in ambient temperature and atmospheric pressure. An adaptive control logic for environmental parameters is added to the basic S1-S6 steps. The original S1 step has been updated with an environmental baseline parameter library, which includes water density correction coefficients, pump efficiency compensation coefficients, and pipeline thermal expansion and contraction loss parameters corresponding to different temperatures, altitudes, and atmospheric pressures, as well as preset thresholds for judging extreme environmental conditions.

[0043] In the S2 pipeline pressure loss calculation process, an environmental loss correction module has been added: the equipment collects on-site ambient temperature, atmospheric pressure, and altitude parameters in real time through temperature and pressure sensors, and corrects the water gravity calculation parameters and pipeline roughness parameters in real time. This compensates for the pipeline loss deviation caused by low-temperature pipeline contraction and high-temperature pipeline expansion, and solves the problem of excessive deviation between theoretical loss calculation and actual operating conditions under extreme environments.

[0044] In the S5 frequency conversion control process, the pump output parameters are adjusted according to the environment: in high-altitude and low-pressure environments, the pump output speed is automatically increased to compensate for the pump output attenuation; in high-temperature environments, the pump operating frequency range is optimized to avoid high-temperature overload; in low-temperature antifreeze conditions, the pipeline pressure stabilization threshold is finely adjusted to maintain the micro-flow state of the pipeline and prevent pipeline freezing.

[0045] The remaining basic control logic, self-learning iteration, fault identification, and energy-saving hibernation functions in this embodiment are consistent with those in Embodiment 1. Example 5

[0046] This embodiment addresses scenarios involving sudden large-flow and rapid-change water shocks, such as fire-fighting water supply, centralized washing, and centralized equipment drainage. It optimizes the transient response logic and improves pressure stability under extreme water fluctuations. Specific improvements are as follows: The original S4 transient impact control steps have been upgraded and optimized: the basic embodiment only identifies the operating condition and locks the parameter compensation pressure by the flow rate change rate. This embodiment adds a multi-level transient identification mechanism, which divides the sudden flow change condition into three levels: slight impact, moderate impact, and severe impact, and matches different advance compensation amounts, parameter lock durations and speed control response rates accordingly.

[0047] Meanwhile, a pre-response control logic is added: the equipment predicts water impact conditions by changing the flow rate in real time. When it detects that the flow rate is rising continuously and is about to reach the impact threshold, it slightly increases the target pressure stabilization value in advance to achieve "predictive pressure regulation". This replaces the traditional delayed compensation mode and completely eliminates the problem of instantaneous pressure loss in high-rise buildings and instantaneous overpressure in low-rise buildings caused by sudden water use.

[0048] After the transient condition ends, a gradient parameter recovery strategy is adopted to avoid secondary pressure oscillations caused by the instantaneous drop in the stable pressure value. The pressure gradually returns to the normal control parameters according to the preset gradient to ensure a smooth transition of pipeline network pressure.

[0049] Furthermore, this embodiment adds a condition memory function for frequent impact conditions, automatically storing high-frequency impact periods and parameters. Subsequent similar scenarios will then directly match the optimal control scheme, improving response efficiency. All other basic steps and auxiliary functions remain unchanged.

[0050] Experimental Example Basic experimental conditions Test platform setup Water supply targets: Integrated residential community pipe network, divided into three water supply zones: low, medium, and high. The total length of the pipe network is 860m, ​​including 124 local pipe fittings such as elbows and valves, with the highest water supply height being 72m. Hardware configuration: pressure sensor, flow sensor, temperature and pressure sensor, variable frequency water pump (rated power of 15kW per pump, 4 pumps in parallel unit), data acquisition terminal, host computer monitoring system; Benchmark control group: Traditional single-frequency constant pressure control method (no zoning correction, no pipeline loss calculation, no adaptive compensation, no self-learning function); Test environments include normal temperature environment, high and low temperature / high altitude simulated environment, peak and valley water usage periods, and sudden flow impact conditions.

[0051] Conventional civil pipeline network operating conditions (corresponding to Example 1) Experimental scenario Under normal temperature and pressure conditions, with normal residential water use (stable flow rate, no extreme impact), a single water pump operates, covering all floor zones (low / medium / high), and is continuously tested for 24 hours.

[0052] Test object Traditional control scheme, Example 1; The test results are shown in the table below: Average voltage regulation deviation (kPa) ±8.2 ±2.1 The pressure stabilization accuracy has been greatly improved, and the pressure is uniform throughout the entire building. Pressure fluctuation under normal operating conditions (kPa) 11.5 3.4 The pipeline pressure operation is more stable. 24-hour power consumption (kW・h) 216.8 179.3 Low-flow sleep mode and zoned voltage regulation achieve energy saving. Pipeline loss calculation deviation (%) 22.7 5.3 Loss model + self-learning iteration significantly improves calculation accuracy Daily abnormal frequency Six times (low-level overpressure, frequent water pump start-stop) 1 time (normal warning) Leak detection and sleep mode control reduce equipment malfunctions Experimental conclusion: Example 1 solves the problems of uneven pressure, high energy consumption and large model deviation in traditional solutions by using zoned pressure correction, real-time calculation of pipeline loss, low flow sleep mode and self-learning iteration, and is suitable for conventional single-pump water supply scenarios.

[0053] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A constant pressure water supply control method for a towerless water supply system, characterized in that, Includes the following steps: S1. Preset the initial operating parameters and zoning parameters of the equipment. The initial operating parameters include the reference pressure of the outlet of the towerless water supply equipment, the basic parameters of the pipeline network and the parameters of the water supply scenario. The target water supply area is divided into low-level water supply area, middle-level water supply area and high-level water supply area according to the vertical height in advance, and a corresponding height loss correction coefficient is independently matched for each height zone. S2. Real-time collection of water supply operation data: Real-time collection of water flow rate and flow rate change rate of the pipeline network through flow sensor; Combined with preset pipeline network basic parameters and water supply height parameters, real-time calculation of pipeline network friction pressure loss, local pipe fitting pressure loss and height pressure difference loss, and superposition to obtain the real-time total pressure loss value of the pipeline network. S3. Determine the most unfavorable water supply point. Based on the preset target water supply area, locate the most unfavorable water supply point with the farthest water supply distance, the highest vertical height, and the greatest pipeline resistance. Use the preset rated water supply pressure of the most unfavorable water supply point as the water supply benchmark. S4. Multi-dimensional dynamic correction of the outlet constant pressure setting value: Based on the rated water supply pressure of the most unfavorable water supply point as the basic pressure benchmark, the real-time total pressure loss value of the pipeline network is superimposed, and the loss correction coefficient of each floor height zone is combined to perform zoned differential pressure compensation, and the basic target stable pressure value of the outlet of the towerless water supply equipment is corrected in reverse; At the same time, the transient impact conditions of the pipeline network are identified based on the real-time flow change rate. When a sudden increase or decrease in flow is detected, the parameters of the current pipeline network loss calculation model are locked, and the preset transient pressure compensation amount is superimposed to make advance correction to the target stable pressure value, suppressing pressure oscillation. After the transient condition ends, the normal control mode is automatically restored. S5. Adaptive variable frequency pressure regulation: Real-time acquisition of the actual pressure at the equipment outlet, comparison with the corrected real-time target pressure value, and dynamic adjustment of the pump speed through variable frequency speed regulation to ensure that the actual pressure at the outlet accurately matches the target pressure value, taking into account both sufficient water supply pressure in high-rise buildings and safe pressure in low-rise pipe networks, and achieving uniform constant pressure water supply throughout the entire pipe network and all floors. S6. Pipeline loss self-learning and iterative update: During long-term operation, the equipment continuously collects actual pipeline pressure loss data under different flow rates and operating conditions, compares and fits it with the theoretically calculated total pipeline pressure loss value, obtains the dynamic loss correction coefficient caused by pipeline aging and scale accumulation, and periodically iteratively updates the pipeline pressure loss calculation model parameters to adapt to the loss changes throughout the entire pipeline life cycle.

2. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, It also includes a low-flow sleep pressure maintenance control step: the equipment monitors the water flow rate and pressure decay rate of the pipeline in real time. When it detects that the pipeline is in a low-flow or zero-flow standby condition for a long time, it adaptively reduces the water pump operating frequency in combination with the real-time loss parameters of the pipeline to maintain a micro-pressure maintenance state. When the pressure slowly drops to the warning threshold, it accurately replenishes the pressure. After the pressure replenishment is completed, it enters a low-power sleep mode, taking into account both the standby pressure stabilization effect and the energy-saving performance of the equipment.

3. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, It also includes a voltage fluctuation adaptive compensation step: real-time acquisition of power supply voltage parameters, and when grid voltage fluctuations, undervoltage or overvoltage conditions are detected, dynamic correction of the pump frequency converter output power and speed matching parameters based on the voltage fluctuation coefficient is performed to offset the output pressure deviation caused by voltage abnormality and ensure that the constant pressure accuracy of the pipeline network does not fail under voltage disturbance conditions.

4. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, It also includes an adaptive identification and control step for water leakage faults: the equipment combines real-time flow, pressure decay rate and pipeline loss model data to intelligently distinguish between normal water usage fluctuations and minor water leakage faults in the pipeline; after identifying minor water leakage conditions, it adaptively optimizes the pressure replenishment frequency and pressure stabilization threshold to avoid frequent start-stop idling of the equipment, while continuously monitoring the fault status, and actively pushing water leakage fault alarm signals after abnormalities accumulate.

5. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, In step S2, the pressure loss along the pipeline is calculated using the Darcy-Weisbach formula combined with real-time flow dynamics. The pressure loss of local pipe fittings is calculated based on the number of elbows, valves, and joints in the pipeline and the real-time water flow velocity, matching the corresponding loss coefficient. The height differential pressure loss is accurately calculated based on the real-time water supply floor height and water gravity parameters.

6. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, In step S3, the most unfavorable water supply point is determined by comprehensively considering three-dimensional parameters such as distance, vertical height, and pipeline resistance. The water pressure at the most unfavorable water supply point is taken as the core benchmark to ensure that the water supply pressure in the remaining water supply areas meets the rated demand, thus achieving full coverage of the pipeline network water supply pressure standard.

7. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, In step S4, the outlet pressure stabilization benchmark is dynamically fine-tuned according to the real-time flow rate of the pipeline: when the real-time outlet flow rate increases and the pipeline flow velocity accelerates, the target stabilization value of the outlet is automatically increased to compensate for dynamic incremental losses; when the real-time outlet flow rate decreases and the pipeline flow velocity slows down, the target stabilization value of the outlet is automatically decreased to avoid excessive pressure at the near end of the pipeline, resource waste and the risk of pipe burst.

8. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, In step S6, the loss correction coefficient adopts a periodic small-scale iterative update mechanism, updating the model parameters according to a preset fixed period. Each update uses a fine-tuning threshold to prevent pipeline pressure fluctuations caused by parameter mutations. When the loss correction coefficient exceeds the preset safety threshold, a maintenance early warning prompt for pipeline aging and scaling blockage is automatically triggered.

9. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, It also includes a steady-state pressure calibration step: when the water flow rate of the pipeline network is continuously stable within the preset steady-state flow range and the duration reaches the set threshold, the equipment automatically starts the steady-state calibration mode, collects pressure data from multiple points in the pipeline network, compares and verifies the deviation between the theoretical loss model and the actual operating conditions, optimizes the model calculation parameters, and improves the pressure stabilization accuracy under steady-state water use conditions.

10. The constant pressure water supply control method for the towerless water supply equipment according to claim 1, characterized in that, In step S1, the basic parameters of the pipeline network include the total length of the pipeline network, the pipe diameter, the pipe roughness, the number of bends, and the pipeline layout coefficient. The water supply scenario parameters include the real-time water supply height and the target water supply area.

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