Intelligent pressure-stabilizing regulation and control method for integrated direct-connection non-negative-pressure water supply equipment

Abstract

The invention relates to the technical field of industrial control software, in particular to a pressure-stabilizing intelligent regulation and control method for integrated direct-connection non-negative-pressure water supply equipment, and the method comprises the steps: deploying an axial fluctuation sensor array in a water delivery channel of the integrated direct-connection non-negative-pressure water supply equipment; the axial fluctuation sensor array outputs a real-time energy ripple spectrum, and the real-time energy ripple spectrum describes dynamic characteristics of micro energy distribution and propagation in water flow in real time; according to the phase and amplitude characteristics of the real-time energy ripple spectrum, a reverse compensation energy gradient field is generated on the section of the water delivery channel; performing vector superposition on the real-time energy ripple spectrum and the reverse compensation energy gradient field in a preset flow state fusion cavity to obtain a steady-state energy flow; and deducing the minimum critical energy potential required for maintaining the pressure level of the pipe network of the current integrated direct-connection non-negative pressure water supply equipment by utilizing a steady-state energy flow and combining a historical energy flow mode. According to the invention, a closed-loop regulation and control system from fluctuation perception and dynamic compensation to energy efficiency optimization is constructed.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial control software, and in particular to a voltage stabilizing intelligent control method for an integrated direct-connected non-negative pressure water supply device. Background Art

[0002] With the acceleration of urbanization, the secondary water supply system faces two core contradictions: the conflict between the pressure volatility of the municipal pipeline network and the stability of user demand, and the risk of secondary water pollution brought by traditional water tank water supply.

[0003] Prior art 1, Chinese patent, application number 202410641357.1 discloses a method for controlling the liquid level in a secondary water supply tank, which includes the following method steps: determining a static residual chlorine attenuation model of the water body in the water tank; obtaining the residual chlorine attenuation coefficient of the water body in the water tank; constructing a dynamic residual chlorine calculation model based on the dynamic changes of the water body in the water tank; verifying the correlation between water age and residual chlorine based on the dynamic residual chlorine calculation model; optimizing and controlling the stop-replenishment level or the replenishment level of the water tank based on the residual chlorine limit and water age control factors. Although the water replenishment amount and water age control form an interactive mechanism with the residual chlorine control to ensure the safety of water quality; and it can adjust the water quality and water volume in the water tank to ensure that the residual chlorine concentration of the outlet water reaches the preset target value, thereby improving the stability of residual chlorine in the secondary water supply system and the quality of drinking water; however, it mainly focuses on the residual chlorine attenuation and water age control of the secondary water supply tank, and ensures water quality safety by optimizing the replenishment strategy, but does not involve the pressure fluctuation control of the pipe network, and cannot solve the pressure oscillation, energy loss and dynamic pressure stabilization problems in the water supply system.

[0004] Prior art two, Chinese patent, application number 202410139204.7 discloses an intelligent water supply management and control system based on pressure zoning control, including: a water pressure regulating module, which is arranged at the connection between the water supply main and each water supply branch, for adjusting and detecting the water supply pressure value of each water supply branch; a demand acquisition module, which is used to obtain the water supply pressure demand data of each water supply branch; an area division module, which is used to divide each water supply branch into areas according to the water supply pressure demand data; an execution module, which is used to control the adjustment action of the water pressure regulating module according to the water supply pressure demand data of each demarcated area; an abnormal alarm module, which is used to analyze the abnormal conditions of the current water supply pressure values ​​of each water supply branch in real time, and alarm when an abnormal condition occurs. Although it can reduce water supply energy consumption, reduce the frequency of pipe bursts, reduce water leakage in the pipeline network, and regulate water pressure according to the actual water pressure demand of the branch pipe to avoid pressure loss; however, the use of pressure zoning control, which reduces energy consumption and leakage by adjusting the pressure of each branch pipe, relies on static pressure demand data and cannot perceive the energy fluctuations within the water flow in real time, resulting in compensation lag and difficulty in achieving transient pressure stability.

[0005] Prior art three, Chinese patent application number 202411731005.1, discloses a water source control system and method based on improved PID control, comprising the following steps: obtaining monitoring data from a water plant, including the inlet and outlet flows of a water source clear water tank; inputting the monitoring data into an improved PID controller; adaptively adjusting PID parameters based on the difference between the acquired inlet and outlet flows; performing PID regulation based on the adjusted PID parameters to output a control value for the emergency water source inlet flow; and regulating an actuator based on the control value to achieve water source inlet control. Although the PID controller's PID parameters are automatically adjusted and improved, enabling real-time control of the liquid level in the water plant clear water tank of the emergency water source, responding more quickly and accurately to liquid level changes and avoiding water resource waste, optimizing water source control based on improved PID control is suitable for clear water tank level management. However, PID control relies on historical error feedback and cannot proactively predict pressure fluctuations. Its response speed is insufficient in high-frequency dynamic water supply scenarios, which can easily cause pressure overshoot or undershoot.

[0006] Currently, existing technologies 1, 2, and 3 are unable to sense and offset energy fluctuations within the water flow in real time, resulting in delayed pressure control, high energy consumption, and insufficient stability. Therefore, the present invention provides a method for intelligent pressure regulation of an integrated direct-connected, non-negative-pressure water supply device. Summary of the Invention

[0007] In order to achieve the above object, the present invention adopts the following technical solutions: In one aspect of the present invention, a method for intelligently regulating and controlling the pressure of an integrated direct-connected non-negative pressure water supply device is provided, comprising the following steps: Based on the phase and amplitude characteristics of the real-time energy ripple spectrum, an inverse compensation energy gradient field is generated in the cross section of the water transmission channel. The real-time energy ripple spectrum and the inverse compensation energy gradient field are vector-superimposed in a preset flow fusion cavity to obtain a steady-state energy flow. By combining steady-state energy flow with historical energy flow patterns, the minimum critical energy potential required to maintain the current pressure level of the integrated direct-connected non-negative pressure water supply equipment pipeline network is deduced.

[0008] In an optional embodiment, the process of obtaining a steady-state energy flow comprises the following steps: The phase axis data of the real-time energy ripple spectrum is analyzed to determine the phase propagation direction and velocity, and an inverse phase steering matrix is ​​constructed at the inlet cross section of the flow fusion cavity. The inverse phase steering matrix is ​​output as a set of spatial warping parameters, which defines the non-uniform injection coordinates of the compensation field in the three-dimensional flow field. The amplitude axis data of the real-time energy ripple spectrum and the spatial distortion parameter set are used to calculate the energy gradient intensity scalar field of the compensation field at each spatial coordinate according to the amplitude peak distribution; the energy gradient intensity scalar field is modulated by the intrinsic frequency resonator and output as a time-varying compensation energy flux pseudotensor; In the fluid fusion cavity, the tensor form of the time-varying compensating energy flux pseudotensor and the original energy ripple spectrum is subjected to metric covariant addition based on the curvature Riemannian manifold of the fusion cavity; the output is a steady-state energy flow tensor field, whose main diagonal component is constant and non-negative, and the sub-diagonal component represents the curl-zero state of the energy flow.

[0009] In an optional embodiment, the process of calculating the energy gradient intensity scalar field of the compensation field at each spatial coordinate includes the following steps: The amplitude axis data of the real-time energy ripple spectrum and the spatial distortion parameter set are input into a non-Euclidean convolution kernel, the amplitude distribution is projected onto the curvature coordinate basis defined by the distortion parameters, and a metric reduction operation is performed on the amplitude peak and the spatial topology. The output is an energy quantum flux distribution map, whose contour line density represents the initial intensity gradient of the compensation field in the curvature space. The eigenfrequency spectrum of the anisotropic resonant coating is called up to perform a frequency domain grid scan on the energy quantum flux distribution diagram, absorbing the parasitic flux components with the same frequency as the ambient vibration. The output is a pure energy gradient scalar field, whose scalar value shows a local maximum at the eigenfrequency of the resonant coating and returns to zero in the forbidden frequency region. The pure energy gradient scalar field is covariantly differentiated and upgraded along the main direction of the curvature tensor based on the Riemann connection coefficient of the fluid fusion cavity; the output is a time-varying compensating energy flux pseudotensor, whose antisymmetric component encodes the curl direction of energy injection, and the main diagonal component satisfies the energy flow conservation law.

[0010] In an optional embodiment, the process of performing metric covariant addition of the pseudotensor and the native ripple comprises the following steps: Obtain the curvature Riemannian manifold parameters and spatial distortion parameter set of the fluid fusion cavity, and construct the curvature adaptation connection coefficient based on the coupling relationship between the cavity curvature tensor and the distortion parameter; output the intrinsic projection axis system and define the covariant operation reference direction of the pseudotensor and the original ripple on the curvature manifold; In the tangent plane of the intrinsic projection axis system, the antisymmetric component of the time-varying compensation energy flux pseudotensor and the curl tensor component of the original energy ripple spectrum are input into the vortex elimination operator, and the curl vector cross product is performed along the normal component of the projection axis system; the curl-zeroed energy flux field is output, and its curl tensor is always zero in all coordinate directions; The curl-zeroed energy flux field and the main components of the native energy ripple spectrum are input into the curvature-driven combiner. Based on the curvature-adapted connection coefficient, a metric-weighted combination operation is performed along the radial components of the intrinsic projection axis system. The steady-state energy flow tensor field is output, whose main diagonal components are guaranteed to be non-negative by the combination operation, and the sub-diagonal components inherit the curl-zeroed characteristics.

[0011] In one optional embodiment, the process of performing a cross product of the curl vector along the normal component of the projection axis system comprises the following steps: The antisymmetric component of the time-varying compensation energy flux pseudotensor is tangentially covariantly projected onto the tangent plane basis of the eigenprojection axis system, decomposing it into a compensation curl vector in the tangent plane. The tangent plane compensation curl field is output, and its vector direction is determined by the angle between the main direction of the antisymmetric component and the tangent axis of the eigenprojection axis system. The curl tensor component of the native energy ripple spectrum is converted into a native curl vector field in the tangent plane according to the curvature connection coefficient of the intrinsic projection axis system; the native curl field of the tangent plane is output, and its vector modulus is proportional to the native curl tensor component, and its direction is modulated by the curvature connection coefficient; The tangent plane compensation curl field and the tangent plane native curl field are combined to perform a positive cross product operation along the normal unit vector direction of the intrinsic projection axis system. The normal neutralized curl vector is output, whose vector direction is strictly along the normal axis and whose modulus is equal to the area of ​​the parallelogram formed by the two input vectors. The normal neutralized curl vector is injected through the reverse flux of the normal vector to generate a curl-zeroing energy flux field with a constant curl of zero in the three-dimensional flow field; the curl-zeroing energy flux field is output to satisfy the curl tensor components in all coordinate directions are zero.

[0012] In an optional embodiment, the process of deducing the minimum critical energy potential required to maintain the current pressure level of the integrated direct-connected non-negative pressure water supply equipment pipe network includes the following steps: Extract the main diagonal component distribution of the steady-state energy flow tensor field and perform curvature manifold matching with the metric feature cluster in the historical energy flow pattern database; output the energy potential feature vector; Based on the curvature adaptation parameter, the energy potential eigenvector is used to construct the covariant Hessian matrix of the energy potential function in the four-dimensional space-time manifold. The direction of its negative eigenvalue defines the energy collapse risk zone. The critical hypersurface is output to divide the stable energy potential zone and the negative pressure risk zone in the Riemannian manifold. Its minimum point set corresponds to the critical state of the pipeline network pressure. The critical hypersurface is combined with the topological invariant constraints of the historical energy flow pattern to perform energy potential minimization search along the geodesic of the hypersurface; and the minimum critical energy potential scalar field is output.

[0013] In an optional embodiment, the output energy potential characteristic vector includes the curvature adaptation parameters, energy density gradient and phase propagation rate of the current steady-state flow and the optimal historical mode.

[0014] In an optional embodiment, the process of performing energy potential minimization search along the geodesic of the hypersurface includes the following steps: By constraining the topological invariants in the historical energy flow pattern, the compactness characteristics of the historical optimal pattern are extracted and mapped to the risk forbidden zone; the characteristic constraint manifold is output, and the topological genus structure corresponding to the historical negative pressure event is prohibited on its surface, inheriting the energy transport stability gene; The critical hypersurface and the characteristic constraint manifold are intersected along the zero-curvature channel of the two manifolds. The secure optimized submanifold is output, and each point of the tangent space satisfies both the covariant Hessian non-negativity and the historical topology constraint, eliminating saddle point traps and negative pressure risk paths. On the surface of the safety-optimized submanifold, an adaptive geodesic network is laid along the main direction of the energy density gradient based on the phase propagation rate distribution of the steady-state energy flow. The optimized guide network is output, and its path node density is positively correlated with the modulus length of the energy density gradient. Path branches are automatically encrypted in the bend area of ​​the pipe network. Executed along the optimized guide network, the risk area of ​​negative eigenvalues ​​of the covariant Hessian of the energy potential function is detected in real time, contact correction pulses are triggered to dynamically increase the energy potential baseline value of the risk area, and the minimum potential point is captured under the positive definite constraint of the normal gradient of the pipeline network; the minimum critical energy potential field is output.

[0015] In an optional embodiment, the equipotential surface of the minimum critical energy potential field is geometrically conformal to the pipe network and satisfies the requirement that the normal gradient is strictly directed to the outside of the pipe wall.

[0016] In an optional embodiment, an axial fluctuation sensor array is deployed in the water supply channel of the integrated direct-connected non-negative pressure water supply equipment; the axial fluctuation sensor array non-contactly captures the original energy density fluctuation trajectory caused by pressure changes in the water flow; the axial fluctuation sensor array outputs a real-time energy ripple spectrum, which depicts the dynamic characteristics of the microscopic energy distribution and propagation inside the water flow in real time.

[0017] This invention uses an array of axial wave sensors to capture the fluctuation trajectory of the primary energy density within the water flow in real time, generating a real-time energy ripple spectrum with phase and amplitude characteristics. Based on this ripple spectrum, a reverse compensation energy gradient field is dynamically constructed across the water channel cross-section. A flow fusion cavity is used to achieve vector superposition of the primary fluctuations and the compensation field, forming a self-stabilizing steady-state energy flow. Combined with learning and analysis of historical energy flow patterns, the system can autonomously deduce the minimum critical energy potential required to maintain pipe network pressure, achieving dynamic and precise matching of energy supply and pressure demand within the water supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a flow chart of the intelligent pressure stabilization and control method for the integrated direct-connected non-negative pressure water supply equipment provided in Example 1 of the present invention; Figure 2 A diagram illustrating a process of deploying an axial wave sensor array according to Embodiment 2 of the present invention; Figure 3 This is a process diagram for obtaining a steady-state energy flow provided in Example 4 of the present invention; Figure 4 This is a process diagram for deducing the minimum critical energy potential required to maintain the current pressure level of the integrated direct-connected non-negative pressure water supply equipment pipe network provided in Example 8 of the present invention; Figure 5 A block diagram of the electronic device provided by the present invention; Figure 6 A block diagram of a computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0020] In the following, the terms "first," "second," etc., are used for descriptive convenience only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature identified with "first," "second," etc., may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0021] In the present invention, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or an integrated one; or, "connection" can be a direct connection or an indirect connection through an intermediate medium. In addition, unless otherwise clearly specified and limited, the term "coupling" should be understood in a broad sense. For example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components, or it can be understood as the electrical connection between different components in a circuit structure through a physical line that can transmit electrical signals, such as printed circuit board (PCB) copper foil or wire, so as to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in an airless / non-contact manner, such as electrical connection between two components using capacitive coupling to transmit electrical signals.

[0022] In an embodiment of the present invention, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to changes in the orientation of the components in the drawings.

[0023] Example 1: like Figure 1 As shown, the embodiment of the present invention provides a method for intelligently regulating and controlling the pressure of an integrated direct-connected non-negative pressure water supply device, comprising the following steps: Step S100: Deploy an axial wave sensor array within the water supply channel of the integrated direct-connected, non-negative-pressure water supply device. The axial wave sensor array non-contactly captures the primary energy density fluctuation trajectory caused by pressure changes within the water flow. The axial wave sensor array outputs a real-time energy ripple spectrum that depicts the dynamic characteristics of microscopic energy distribution and propagation within the water flow. Step S200: Based on the phase and amplitude characteristics of the real-time energy ripple spectrum, an inverse compensation energy gradient field is generated in the cross section of the water transmission channel; the real-time energy ripple spectrum and the inverse compensation energy gradient field are vector-superimposed in a preset flow fusion cavity to obtain a steady-state energy flow; Step S300: Utilizing the steady-state energy flow in combination with the historical energy flow pattern, the minimum critical energy potential required to maintain the current pressure level of the integrated direct-connected non-negative pressure water supply equipment pipe network is deduced.

[0024] In the aforementioned embodiment, this system uses an axial wave sensor array to capture the fluctuation trajectory of the primary energy density within the water flow in real time, generating a real-time energy ripple spectrum with phase and amplitude characteristics. Based on this ripple spectrum, a reverse compensation energy gradient field is dynamically constructed within the water channel cross-section. A flow fusion cavity is used to achieve vector superposition of the primary fluctuations and the compensation field, forming a self-stabilizing steady-state energy flow. Combined with learning and analysis of historical energy flow patterns, the system can autonomously deduce the minimum critical energy potential required to maintain pipe network pressure, achieving dynamic and precise matching of energy supply and pressure demand within the water supply system.

[0025] This embodiment eliminates the hysteresis of pressure fluctuation transmission through the dynamic coupling of native fluctuation capture and the reverse compensation field. The steady-state energy flow formed by vector superposition is adaptive to changes in pipe network impedance. The intelligent deduction mechanism of the minimum critical energy potential achieves extreme optimization of system energy consumption. Overall, a closed-loop control system from fluctuation sensing, dynamic compensation, to energy efficiency optimization has been established, achieving optimal energy utilization while ensuring pressure stability.

[0026] Example 2: like Figure 2 As shown, based on Example 1, the process of deploying the axial wave sensor array in step S100 provided in this embodiment of the present invention includes the following steps: Step S101: A multi-stage annular waveguide skeleton is embedded at a preset position on the inner wall of the water channel, and the surface is covered with an anisotropic resonant coating. When water is flowing, the multi-stage annular waveguide skeleton is excited by the energy field of the water flow to generate a self-sustaining standing wave substrate, which converts the energy density fluctuation of the water flow into skeleton deformation resonance, forming a mechanical wave carrier signal with the same frequency as the axial direction of the water flow. Among them, the energy-structure coupling excitation equation is:

[0027] Where, represents the displacement field of the waveguide skeleton; represents the water flow energy density distribution function; represents the resonant coating eigenmode function; represents the circumferential gradient operator; represents the resonant adapted wedge product; represents the energy-structure coupling coefficient (determined by the Young's modulus of the coating); Represents the curvature-vorticity coupling constant; theoretical role expression, characterizing the energy density of water flow Through resonant coating The excitation effect on the skeleton generates the axial coordinate is the fourth-order hybrid guided wave in the propagation direction; Represents the axial coordinate of water flow; represents the angular coordinates of the annular section; represents the time variable; represents the order of axial coordinate derivative; represents the order of the circumferential coordinate derivative; represents the order of radial coordinate derivative; represents the three-dimensional antisymmetric unit tensor; represents the hoop shear strain; Step S102: A piezoelectric lattice array is implanted at the antinode of the self-sustaining standing wave substrate. The piezoelectric lattice array converts the mechanical wave carrier signal of the multi-stage annular waveguide skeleton into a charge density distribution map through the inverse piezoelectric effect. The charge density distribution map maps the energy density fluctuation trajectory of the water flow in real time and outputs an axial differential charge sequence, which contains the spatial gradient and propagation direction information of the energy fluctuation. Step S103: The axial differential charge sequence is used to reconstruct the propagation vector field of energy fluctuations in the three-dimensional flow field by solving the rate of change of charge gradients of adjacent lattices; the propagation vector field is processed by the frequency domain feature extraction module to remove the environmental vibration noise, and finally synthesize a real-time energy ripple spectrum containing amplitude and phase parameters.

[0028] In the above-mentioned embodiment, the axial wave sensor array deployed on the inner wall of the water channel of this embodiment realizes non-contact, high-precision dynamic perception of the energy density fluctuations inside the water flow through the synergistic effect of the multi-stage annular waveguide skeleton and the piezoelectric lattice array. The multi-stage annular waveguide skeleton is stimulated by the water flow to form a self-sustaining standing wave base, which converts the energy density fluctuations into axial co-frequency mechanical waves, ensuring that the signal is strictly synchronized with the water flow dynamics; the anisotropic resonant coating optimizes the stability of the standing wave, suppresses non-axial interference, and improves the signal-to-noise ratio. The piezoelectric lattice array is implanted at the antinode of the standing wave, and converts the mechanical wave into an axial differential charge sequence through the inverse piezoelectric effect, accurately mapping the spatial gradient and propagation direction of the energy fluctuation; by solving the charge gradient of adjacent lattices, the three-dimensional propagation vector field of the energy fluctuation is reconstructed, the environmental vibration noise is stripped away, and finally a real-time energy ripple spectrum is output, including key parameters such as amplitude, phase and propagation direction. In summary, this embodiment realizes in-situ, real-time, full-vector perception of internal energy fluctuations of water flow, provides high-fidelity input for the subsequent generation of reverse compensation energy gradient fields, ensures the dynamic response speed and accuracy of voltage regulation, and overcomes the limitation of traditional pressure sensors that can only measure static / quasi-static parameters.

[0029] Example 3: Based on Example 2, the process of reconstructing the propagation vector field of energy fluctuations in the three-dimensional flow field in step S103 provided in this embodiment of the present invention includes the following steps: Step S1031: Input the axial differential charge sequence into the manifold differential constraint generator. This device automatically constructs a set of partial differential inequalities describing the propagation law of energy fluctuations based on the rate of change of the charge gradient. This set of partial differential inequalities derives the boundaries of the dynamic feasible region, defining the set of possible propagation paths of energy fluctuations in the three-dimensional flow field. Step S1032: Within the boundary of the dynamic feasible region, a vortex seed point placement mechanism is deployed. According to the distribution of extreme points of the charge gradient change rate, vortex streamline anchor points are implanted at corresponding spatial coordinates. Adjacent vortex streamline anchor points are interpolated through curvature adaptive interpolation to generate a continuous three-dimensional streamline topology, which is output as a primary energy streamline cluster. Step S1033: The primary energy streamline cluster is input into the conjugate resonant screen, and the eigenfrequency of the anisotropic resonant coating is used to absorb the parasitic streamline components with the same frequency as the ambient vibration; the streamline cluster after resonance screening is reconstructed into a pure energy propagation vector field, whose streamline density represents the fluctuation amplitude, and the tangent direction indicates the phase propagation.

[0030] In the above-mentioned embodiment, this embodiment achieves topological optimization of the energy fluctuation propagation path through the dynamic feasible domain boundary constructed by the manifold differential constraint generator. Combined with the primary energy streamline cluster generated by the vortex seed point placement mechanism, after frequency-domain filtering by the conjugate resonance sieve, the final output is an energy propagation vector field with clear physical meaning. This vector field accurately quantifies the fluctuation amplitude distribution characteristics using streamline density and characterizes the vector characteristics of phase propagation through the streamline tangent direction, fully realizing the mathematical modeling and physical visualization of the energy fluctuation propagation path in the three-dimensional flow field. It also achieves a closed-loop conversion from raw charge gradient data to a computable vector field. Its core innovation lies in the synergy between dynamic feasible domain constraints and frequency-domain filtering, effectively suppressing environmental noise interference while preserving the main energy propagation characteristics.

[0031] Example 4: like Figure 3 As shown, based on Example 1, the process of obtaining the steady-state energy flow in step S200 provided in this embodiment of the present invention includes the following steps: Step S201: Analyze the phase propagation direction and velocity of the phase axis data of the real-time energy ripple spectrum, and construct an inverse phase steering matrix at the inlet cross section of the flow fusion cavity; the inverse phase steering matrix is ​​output as a spatial warping parameter set, which defines the non-uniform injection coordinates of the compensation field in the three-dimensional flow field; Step S202: The amplitude axis data of the real-time energy ripple spectrum and the spatial distortion parameter set are used to calculate the energy gradient intensity scalar field of the compensation field at each spatial coordinate according to the amplitude peak distribution; the energy gradient intensity scalar field is modulated by the intrinsic frequency resonator and output as a time-varying compensation energy flux pseudotensor; Step S203: In the fluid fusion cavity, the tensor form of the time-varying compensation energy flux pseudotensor and the original energy ripple spectrum is subjected to metric covariant addition based on the curvature Riemannian manifold of the fusion cavity; the metric covariant addition outputs a steady-state energy flow tensor field, whose main diagonal components are constant non-negative values, and the sub-diagonal components represent the curl-zero state of the energy flow.

[0032] In the aforementioned embodiment, this embodiment achieves topological steady-state control of the energy flow system through a third-order coupling mechanism involving inverse phase steering, construction of a spatially distorted compensation field, dynamic energy gradient modulation, and Riemannian manifold covariant fusion. Its core lies in establishing a phase-amplitude-curvature holographic mapping architecture: the inverse phase steering matrix decouples the vortex component of the original ripple through non-uniform coordinate transformations. The time-varying pseudotensor field generates anisotropic compensation wave packets under dual constraints in the frequency and spatial domains. Ultimately, the compensation field and the original field are differentially fused through the curvature connection of the Riemannian manifold. The technical effects are as follows: 1) the curl of the energy flow is reset to zero, allowing the system to spontaneously satisfy the Helmholtz curl-free condition; 2) the non-negativity of the main diagonal ensures causality of the energy transfer path; and 3) the pseudotensor covariant operation maintains the energy conservation symmetry on the manifold. This architecture essentially constructs a non-equilibrium energy manifold with self-correcting properties. Its technical features synergistically achieve the differential geometric transformation from ripple energy to steady-state energy.

[0033] Example 5: Based on Example 4, the process of calculating the energy gradient intensity scalar field of the compensation field at each spatial coordinate in step S202 provided in this embodiment of the present invention includes the following steps: Step S2021: Input the amplitude axis data of the real-time energy ripple spectrum and the spatial distortion parameter set into a non-Euclidean convolution kernel, project the amplitude distribution onto the curvature coordinate basis defined by the distortion parameters, and perform a metric reduction operation on the amplitude peak and the spatial topology; the output is an energy quantum flux distribution map, whose contour line density represents the initial intensity gradient of the compensation field in the curvature space; Step S2022: Invoking the eigenfrequency spectrum of the anisotropic resonant coating, performing a frequency domain grid scan on the energy quantum flux distribution diagram, and absorbing the parasitic flux components with the same frequency as the ambient vibration; the output is a pure energy gradient scalar field, whose scalar value presents a local maximum at the eigenfrequency of the resonant coating and returns to zero in the forbidden frequency region; Step S2023: The pure energy gradient scalar field is covariantly differentiated and upgraded along the main direction of the curvature tensor based on the Riemann connection coefficient of the fluid fusion cavity; the output is a time-varying compensation energy flux pseudotensor, whose antisymmetric component encodes the curl direction of energy injection, and the main diagonal component satisfies the energy flow conservation law.

[0034] In the above embodiment, this embodiment constructs a dynamic and adaptive energy compensation field topology control system: the coupling mapping of energy ripple spectrum and spatial curvature is realized through non-Euclidean convolution kernel, combined with the frequency domain filtering characteristics of the anisotropic resonant coating, and finally through covariant differential operation on the Riemann manifold, a compensation field with the following technical characteristics is formed: the compensation field intensity gradient automatically matches the spatial curvature distribution, and the antisymmetric component of its flux pseudotensor responds to the energy curl change caused by environmental vibration in real time, and the main diagonal component maintains the continuity of energy flow through metric reduction operation; the frequency domain grid of the quantum flux is scanned by the eigenfrequency spectrum line to achieve precise matching with the forbidden frequency zone of the resonant coating, eliminating the parasitic energy component introduced by the environmental vibration coupling; based on the covariant differential order-raising operation of the Riemann connection coefficient, the compensation field has high-order differential constraint characteristics in the main direction of the curvature tensor, which can spontaneously offset the energy distortion caused by the non-uniform space-time metric.

[0035] Example 6: Based on Example 4, the process of performing metric covariant addition of the pseudotensor and the native ripple in step S203 provided in this embodiment of the present invention includes the following steps: Step S2031: Obtain the curvature Riemannian manifold parameters and the spatial distortion parameter set of the fluid fusion cavity, construct the curvature adaptation connection coefficient based on the coupling relationship between the cavity curvature tensor and the distortion parameter; output the intrinsic projection axis system, and define the covariance operation reference direction of the pseudotensor and the original ripple on the curvature manifold; Step S2032: In the tangent plane of the intrinsic projection axis system, the antisymmetric component of the time-varying compensation energy flux pseudotensor and the curl tensor component of the original energy ripple spectrum are input into the vortex elimination operator, and the curl vector cross product is performed along the normal component of the projection axis system; the curl-zeroed energy flux field is output, and its curl tensor is constantly zero in all coordinate directions; Step S2033: The curl-zeroed energy flux field and the main components of the native energy ripple spectrum are input into the curvature-driven combiner, and a metric-weighted combination operation is performed along the radial components of the intrinsic projection axis system based on the curvature adaptation connection coefficient; the steady-state energy flow tensor field is output, and its main diagonal components are guaranteed to be non-negative by the combination operation, and the sub-diagonal components inherit the curl-zeroed characteristics.

[0036] In the above embodiment, this embodiment realizes a nonlinear coupling control system of the energy compensation field and the native ripple field. The core of the system is to construct a dynamically stable energy topological structure through geometric operations on the curvature manifold: the eigenprojection axis system constructed based on the Riemannian manifold parameters makes the interaction between the pseudotensor and the native ripple strictly follow the space-time curvature constraint, and the antisymmetric component of the compensation field and the native ripple curl form a geometric conjugate relationship in the tangent plane; through the vortex elimination operator's normal cross product operation on the antisymmetric component, while maintaining the continuity of the energy flow, the synthetic curl component generated by the coupling of the compensation field and the native field is forcibly eliminated, thereby realizing the topological flattening of the energy transmission path; the metric weighted operation of the curvature-driven combiner converts the radial energy flux into a steady-state tensor field that satisfies the positive definite condition, and the curl zeroing characteristic of its sub-diagonal component is strictly decoupled from the non-negative energy flow of the main diagonal, and finally outputs an energy steady state with curvature invariance.

[0037] Example 7: Based on Example 6, the process of performing the cross product of the curl vector along the normal component of the projection axis system in step S2032 provided by the embodiment of the present invention includes the following steps: Step S20321: performing tangential covariant projection on the antisymmetric component of the time-varying compensation energy flux pseudotensor and the tangent plane basis of the eigenprojection axis system to decompose it into a compensation curl vector in the tangent plane; outputting a tangent plane compensation curl field, the vector direction of which is determined by the angle between the main direction of the antisymmetric component and the tangent axis of the eigenprojection axis system; Step S20322: Convert the curl tensor components of the native energy ripple spectrum into a native curl vector field in the tangent plane based on the curvature connection coefficient of the intrinsic projection axis system; output the native curl field in the tangent plane, whose vector modulus is proportional to the native curl tensor components and whose direction is modulated by the curvature connection coefficient; Step S20323: Perform a positive cross product operation on the tangent plane compensated curl field and the tangent plane native curl field along the normal unit vector direction of the intrinsic projection axis system; output a normal neutralized curl vector, whose vector direction is strictly along the normal axis and whose modulus is equal to the area of ​​the parallelogram formed by the two input vectors; Step S20324: neutralize the normal curl vector and inject the reverse flux of the normal vector to generate a curl-zeroing energy flux field with a constant curl of zero in the three-dimensional flow field; output the curl-zeroing energy flux field to satisfy the curl tensor components in all coordinate directions are zero.

[0038] In the above embodiment, this embodiment constructs a curl dynamic neutralization system based on the geometric constraints of the curvature manifold, and realizes the global curl-free control of the energy flux through the normal cross product operation of the tangent plane curl field: the curvature-constrained curl decoupling, through the tangential covariant projection of the intrinsic projection axis system and the curvature connection modulation, converts the curl tensor of the compensation field and the original field into a vector pair with geometric correlation in the tangent plane, and the direction angle and modulus relationship are strictly subject to the topological constraints of the curvature manifold; the normal neutralization vector generated based on the positive cross product operation of the tangent plane vector, its modulus automatically reflects the degree of non-collinearity of the two input curl fields, and realizes the three-dimensional self-cancellation of the curl component through normal flux injection; the reverse injection mechanism of the normal neutralization vector forms a closed curl cancellation loop in the flow field, so that the component of the curl tensor of the output energy flux field is always zero under any coordinate basis, realizing an absolutely curl-free energy transmission topology compatible with the curvature manifold structure.

[0039] Example 8: like Figure 4 As shown, based on Example 1, the process of deducing the minimum critical energy potential required to maintain the current pressure level of the integrated direct-connected non-negative pressure water supply equipment pipe network in step S300 provided in this embodiment of the present invention includes the following steps: Step S301: Extract the main diagonal component distribution of the steady-state energy flow tensor field and perform curvature manifold matching with the metric feature cluster in the historical energy flow pattern database; output the energy potential feature vector, which contains the core features such as the curvature adaptation parameters, energy density gradient, and phase propagation rate of the current steady-state flow and the optimal historical pattern; Step S302: Based on the curvature adaptation parameter, the energy potential eigenvector is used to construct the covariant Hessian matrix of the energy potential function in the four-dimensional space-time manifold. The negative eigenvalue direction defines the energy collapse risk area; the critical hypersurface is output to divide the stable energy potential area and the negative pressure risk area in the Riemann manifold. The minimum point set corresponds to the critical state of the pipeline network pressure. Step S303: Combine the critical hypersurface with the topological invariant constraint of the historical energy flow pattern, and perform energy potential minimization search along the geodesic of the hypersurface; output the minimum critical energy potential scalar field.

[0040] In the above embodiments, this embodiment establishes a pipeline pressure dynamic stability criterion system based on Riemannian manifold topology optimization, and realizes accurate prediction of the critical threshold of the non-negative pressure state through geometric analysis of the energy potential function: the steady-state energy flow tensor field is matched with the curvature manifold of the historical metric characteristic cluster, and an energy potential characteristic vector containing the space-time phase propagation characteristics is constructed, and its curvature adaptation parameters can simultaneously reflect the pipeline network topological structure characteristics and the transient energy distribution law; the negative eigenvalue analysis of the covariant Hessian matrix generates a critical hypersurface with differential geometric characteristics in the four-dimensional manifold, and the boundary between its stable energy potential area and the negative pressure risk area is naturally defined by the second-order derivative discontinuity of the Riemann metric; the geodesic search based on the topological invariant makes the minimum critical energy potential scalar field satisfy both the historical pattern constraints and the current manifold geometric characteristics, and the output critical value is essentially the minimum energy threshold to ensure that the pipeline pressure system remains positive under arbitrary curvature changes.

[0041] Example 9: Based on Example 8, the process of performing energy potential minimization search along the geodesic line of the hypersurface in step S303 provided by the embodiment of the present invention includes the following steps: Step S3031: Constraining the topological invariants in the historical energy flow pattern, extracting the compactness characteristics of the historical optimal pattern and mapping it to the risk forbidden zone; outputting a characteristic constraint manifold, whose surface prohibits the topological genus structure corresponding to the historical negative pressure event, and inherits the energy transport stability gene; Step S3032: Intersect the intersection area of ​​the critical hypersurface and the characteristic constraint manifold along the zero curvature channel of the two manifolds; output a safe optimized submanifold, whose tangent space at each point satisfies both the covariant Hessian non-negativity and the historical topology constraint, eliminating saddle point traps and negative pressure risk paths; Step S3033: On the surface of the safety optimized submanifold, an adaptive geodesic network is laid along the main direction of the energy density gradient based on the phase propagation rate distribution of the steady-state energy flow; an optimized guide network is output, in which the path node density is positively correlated with the energy density gradient modulus, and path branches are automatically encrypted in the pipe network elbow area; Step S3034: Execute along the optimized guide network, detect the risk area of ​​the negative eigenvalue of the covariant Hessian of the energy potential function in real time, trigger the connection correction pulse to dynamically increase the energy potential baseline value of the risk area, and capture the minimum potential point under the positive definite constraint of the normal gradient of the pipeline network; output the minimum critical energy potential field, whose equipotential surface is geometrically conformal to the pipeline network and satisfies that the normal gradient strictly points to the outside of the pipe wall.

[0042] In the aforementioned embodiment, this embodiment achieves global robust minimization of the energy potential field through multidimensional constraint coupling and a dynamic optimization mechanism. Its core technology lies in the deep integration of historical stability genes, geometric constraints, and dynamic path planning. First, a characteristic manifold prohibiting negative pressure topological structures is constructed through topological invariant constraints. This is then intersected with a critical hypersurface to form a safe submanifold with both a nonnegative Hessian and historical constraints. An adaptive geodesic network, built on this geometric basis, utilizes a gradient-sensitive path density distribution and a real-time connection correction mechanism to ultimately generate a minimum critical energy potential field with conformal equipotential surface properties. This entire process achieves three key technical coupling effects: ① Historical risk patterns are continuously applied to the current optimization path through topological gene encoding; ② The dynamic deformability of the geodesic network maintains a diffeomorphism with the energy density field; and ③ The connection pulse mechanism achieves a non-destructive increase in the potential field baseline value while maintaining the positive definiteness of the normal gradient. This structured minimization method essentially constructs a differential dynamic system with memory properties, whose output potential field satisfies both static geometric constraints and dynamic stability conditions.

[0043] Figure 5 A block diagram is shown of an exemplary electronic device suitable for implementing embodiments of the present invention.

[0044] The electronic device may include a central processing unit / microprocessor / main control chip, etc.; a storage medium, coupled to the central processing unit / microprocessor / main control chip, etc., and storing computer-executable instructions therein, for performing the steps of each method of an embodiment of the present invention when executed by the processor.

[0045] The central processing unit / microprocessor / main control chip etc. may include but is not limited to, for example, one or more processors or microprocessors etc.

[0046] The storage medium may include, but is not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (such as hard disk, floppy disk, solid-state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).

[0047] In addition, the electronic device may also include (but not limited to) a data bus, an input / output bus / external bus / device bus, a display, and input / output devices (eg, keyboard, mouse, speaker, etc.).

[0048] The central processing unit / microprocessor / main control chip etc. can communicate with external devices via an I / O bus via a wired or wireless network (not shown).

[0049] The storage medium may also store at least one computer-executable instruction for executing the various functions and / or method steps in the embodiments described in this technology when executed by a central processing unit / microprocessor / main control chip, etc.

[0050] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0051] Figure 6 A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.

[0052] like Figure 6 As shown, a non-transitory computer-readable storage medium stores instructions, such as computer-readable instructions. When the computer-readable instructions are executed by a processor, the various methods described above can be executed. Non-transitory computer-readable storage media include, but are not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. Non-transitory non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium can be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions stored on the computer-readable storage medium, the various methods described above can be performed.

[0053] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0054] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0055] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0056] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part 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 for executing all or part of the steps of the various embodiments of the method of the present invention via a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0057] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for intelligent pressure stabilization and control of an integrated direct-connected non-negative pressure water supply device, characterized in that: The following steps are involved: Based on the phase and amplitude characteristics of the real-time energy ripple spectrum, an inverse compensation energy gradient field is generated in the cross section of the water transmission channel. The real-time energy ripple spectrum and the inverse compensation energy gradient field are vector-superimposed in a preset flow fusion cavity to obtain a steady-state energy flow. By combining steady-state energy flow with historical energy flow patterns, the minimum critical energy potential required to maintain the current pressure level of the integrated direct-connected non-negative pressure water supply equipment pipeline network is deduced.

2. The intelligent pressure stabilization control method for the integrated direct-connected non-negative pressure water supply equipment according to claim 1 is characterized in that: The process of obtaining a steady-state energy flow includes the following steps: The phase axis data of the real-time energy ripple spectrum is analyzed to determine the phase propagation direction and velocity, and an inverse phase steering matrix is ​​constructed at the inlet cross section of the flow fusion cavity. The inverse phase steering matrix is ​​output as a set of spatial warping parameters, which defines the non-uniform injection coordinates of the compensation field in the three-dimensional flow field. The amplitude axis data of the real-time energy ripple spectrum and the spatial distortion parameter set are used to calculate the energy gradient intensity scalar field of the compensation field at each spatial coordinate according to the amplitude peak distribution; the energy gradient intensity scalar field is modulated by the intrinsic frequency resonator and output as a time-varying compensation energy flux pseudotensor; In the fluid fusion cavity, the tensor form of the time-varying compensation energy flux pseudotensor and the original energy ripple spectrum is added based on the curvature Riemannian manifold of the fusion cavity to perform metric covariant addition of the pseudotensor and the original ripple; metric covariation addition; The output is a steady-state energy flow tensor field, whose main diagonal components are constant non-negative values, and the sub-diagonal components represent the curl zero state of the energy flow.

3. The intelligent pressure stabilization control method for the integrated direct-connected non-negative pressure water supply equipment according to claim 2 is characterized in that: The process of calculating the energy gradient intensity scalar field of the compensation field at each spatial coordinate includes the following steps: The amplitude axis data of the real-time energy ripple spectrum and the spatial distortion parameter set are input into the non-Euclidean convolution kernel, the amplitude distribution is projected onto the curvature coordinate basis defined by the distortion parameters, and the metric contraction operation of the amplitude peak and the spatial topology is performed; The output is an energy quantum flux distribution map, whose contour density represents the initial intensity gradient of the compensation field in the curvature space; The eigenfrequency spectrum of the anisotropic resonant coating is called to perform frequency domain grid scanning on the energy quantum flux distribution diagram to absorb the parasitic flux components with the same frequency as the ambient vibration; The output is a pure energy gradient scalar field, whose scalar value presents a local maximum at the eigenfrequency of the resonant coating and returns to zero in the forbidden frequency region; The pure energy gradient scalar field is covariantly differentiated and raised along the main direction of the curvature tensor based on the Riemann connection coefficient of the fluid fusion cavity. The output is a time-varying compensated energy flux pseudotensor, whose antisymmetric component encodes the curl direction of the energy injection and the main diagonal component satisfies the energy flux conservation law.

4. The intelligent pressure stabilization control method for an integrated direct-connected non-negative pressure water supply device according to claim 2, characterized in that: The process of performing metric covariant addition of the pseudotensor and the native ripple consists of the following steps: Obtain the curvature Riemannian manifold parameters and spatial distortion parameter set of the fluid fusion cavity, and construct the curvature adaptation connection coefficient based on the coupling relationship between the cavity curvature tensor and the distortion parameter; output the intrinsic projection axis system and define the covariant operation reference direction of the pseudotensor and the original ripple on the curvature manifold; In the tangent plane of the intrinsic projection axis system, the antisymmetric component of the time-varying compensation energy flux pseudotensor and the curl tensor component of the original energy ripple spectrum are input into the vortex elimination operator, and the curl vector cross product is performed along the normal component of the projection axis system; the curl-zeroed energy flux field is output, and its curl tensor is always zero in all coordinate directions; The curl-zeroed energy flux field and the main components of the native energy ripple spectrum are input into the curvature-driven combiner. Based on the curvature-adapted connection coefficient, a metric-weighted combination operation is performed along the radial components of the intrinsic projection axis system. The steady-state energy flow tensor field is output, whose main diagonal components are guaranteed to be non-negative by the combination operation, and the sub-diagonal components inherit the curl-zeroed characteristics.

5. The intelligent pressure stabilization control method for the integrated direct-connected non-negative pressure water supply equipment according to claim 4 is characterized in that: The process of performing a cross product of the curl vector along the normal component of the projected axis system consists of the following steps: The antisymmetric component of the time-varying compensation energy flux pseudotensor is tangentially covariantly projected onto the tangent plane basis of the eigenprojection axis system, decomposing it into a compensation curl vector in the tangent plane. The tangent plane compensation curl field is output, and its vector direction is determined by the angle between the main direction of the antisymmetric component and the tangent axis of the eigenprojection axis system. The curl tensor component of the native energy ripple spectrum is converted into a native curl vector field in the tangent plane according to the curvature connection coefficient of the intrinsic projection axis system; the native curl field of the tangent plane is output, and its vector modulus is proportional to the native curl tensor component, and its direction is modulated by the curvature connection coefficient; The tangent plane compensation curl field and the tangent plane native curl field are combined to perform a positive cross product operation along the normal unit vector direction of the intrinsic projection axis system. The normal neutralized curl vector is output, whose vector direction is strictly along the normal axis and whose modulus is equal to the area of ​​the parallelogram formed by the two input vectors. The normal neutralized curl vector is injected through the reverse flux of the normal vector to generate a curl-zeroing energy flux field with a constant curl of zero in the three-dimensional flow field; the curl-zeroing energy flux field is output to satisfy the curl tensor components in all coordinate directions are zero.

6. The intelligent pressure stabilization control method for the integrated direct-connected non-negative pressure water supply equipment according to claim 1, characterized in that: The process of deducing the minimum critical energy potential required to maintain the current pressure level of the integrated direct-connected non-negative pressure water supply equipment pipeline network includes the following steps: Extract the main diagonal component distribution of the steady-state energy flow tensor field and perform curvature manifold matching with the metric feature cluster in the historical energy flow pattern database; output the energy potential feature vector; Based on the curvature adaptation parameter, the energy potential eigenvector is used to construct the covariant Hessian matrix of the energy potential function in the four-dimensional space-time manifold, and the direction of its negative eigenvalue defines the energy collapse risk area. Output critical hypersurface, divide the stable energy potential area and negative pressure risk area in Riemann manifold, and its minimum point set corresponds to the critical state of pipeline network pressure; The critical hypersurface is combined with the topological invariant constraints of the historical energy flow pattern to perform energy potential minimization search along the geodesic of the hypersurface; and the minimum critical energy potential scalar field is output.

7. The intelligent pressure stabilization control method for an integrated direct-connected non-negative pressure water supply device according to claim 6, characterized in that: The output energy potential eigenvector includes the curvature adaptation parameters, energy density gradient and phase propagation rate of the current steady-state flow and the optimal historical mode.

8. The intelligent pressure stabilization control method for an integrated direct-connected non-negative pressure water supply device according to claim 6, characterized in that: The process of searching for the minimum energy potential along the geodesic lines of the hypersurface consists of the following steps: By constraining the topological invariants in the historical energy flow pattern, the compactness characteristics of the historical optimal pattern are extracted and mapped to the risk restricted area; Output characteristic constraint manifold, whose surface is prohibited from having topological genus structures corresponding to historical negative pressure events, inheriting the energy transport stability gene; The critical hypersurface and the characteristic constraint manifold are intersected along the zero-curvature channel of the two manifolds. The secure optimized submanifold is output, and each point of the tangent space satisfies both the covariant Hessian non-negativity and the historical topology constraint, eliminating saddle point traps and negative pressure risk paths. On the surface of the safety-optimized submanifold, an adaptive geodesic network is laid along the main direction of the energy density gradient based on the phase propagation rate distribution of the steady-state energy flow. The optimized guide network is output, and its path node density is positively correlated with the modulus length of the energy density gradient. Path branches are automatically encrypted in the bend area of ​​the pipe network. Executed along the optimized guide network, the system detects the risk area of ​​negative eigenvalues ​​of the covariant Hessian of the energy potential function in real time, triggers contact correction pulses to dynamically increase the energy potential baseline value of the risk area, and captures the minimum potential point under the positive definite constraint of the normal gradient of the pipeline network; Output the minimum critical energy potential field.

9. The intelligent pressure stabilization control method for an integrated direct-connected non-negative pressure water supply device according to claim 1, characterized in that: The equipotential surface of the minimum critical energy potential field is geometrically conformal to the pipe network, and the normal gradient strictly points to the outside of the pipe wall.

10. The intelligent pressure stabilization and control method for an integrated direct-connected non-negative pressure water supply device according to claim 1, characterized in that: An axial wave sensor array is deployed in the water supply channel of the integrated direct-connected non-negative pressure water supply equipment; the axial wave sensor array non-contactly captures the original energy density fluctuation trajectory caused by pressure changes inside the water flow; the axial wave sensor array outputs a real-time energy ripple spectrum, which depicts the dynamic characteristics of the microscopic energy distribution and propagation inside the water flow in real time.

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