A three-phase alternating current system physical quantity and spatial trajectory hierarchical quantization method based on an effect learning coordinate system

Abstract

The application relates to a layered quantification method of physical quantities and spatial trajectories of a three-phase alternating current system based on an effect science coordinate system, in particular to a layered quantification mapping rule of physical quantities and spatial trajectories of a three-phase alternating current system based on an effect science coordinate system, and belongs to the field of power system data processing.

Description

Technical Field

[0001] This invention relates to the field of data processing rules and underlying quantitative calculation technology for three-phase AC power systems (such as three-phase power generation, three-phase power transmission and distribution, variable frequency motor control, i.e., spatial rheological characteristic accumulation assessment). It uses a dual-mode switching framework of "spatial rotating electrical differential potential method" and "spatial rotating electrical differential potential product method", and adopts an effect-based quantitative hierarchy and mapping rule scheme to provide a general calculation method for providing a basic data foundation for spatial trajectory analysis. Background Technology

[0002] In three-phase electrical analysis (space electricity) systems based on spatial geometric features, the core foundation for constructing upper-level applications such as fault diagnosis, closed-loop control, and heat loss early warning lies in how to transform abstract spatial trajectory geometric features (such as area and rate of change of angle) into electrical facts with rigorous physical meaning. However, existing technologies have four inherent defects in handling the mapping between spatial geometric quantities and electrical physical quantities: First, conventional space vector algorithms only perform simple algebraic multiplication of multiple parameters, lacking hierarchical causal derivation, forming an "algebraic black box" that cannot establish a rigorous logical connection between spatial geometry and real electrical and physical facts. Second, traditional time-domain quantization relies on the assumption of a fixed frequency. Under variable frequency and speed fluctuation conditions, spatial geometric features and time accumulation become coupled and distorted, causing the quantization results to lose their physical intrinsic meaning. Third, under extreme conditions such as motor stall, extremely low speed, or battery micro-short circuit, existing algorithms cannot distinguish between "effective work trend" and "ineffective heat loss ratio" from the spatial coupling dimension, resulting in delayed thermal runaway warning and distorted equipment status assessment. Fourth, there is a lack of unified spatial geometric constraint benchmarks, and there is no standardized quantitative truncation mechanism for unbalanced trajectories, making it impossible to eliminate interference from invalid physical quantities at the geometric level.

[0003] To address the aforementioned shortcomings, the primary objective of this invention is to establish universally applicable quantification hierarchical mapping rules for the entire family of space electrical patents using the fundamental quantification principles of effects science. Based on an equilateral triangular effects science coordinate system, this invention establishes a "potential-productivity" hierarchical quantification system, logically binding spatial geometric features with electrical physical facts. Together with Patent 1 (coordinate system construction), this system forms the underlying foundation of the entire family of effects science space electrical patents, providing a distortion-free electrical factual data base for upper-level applications. Summary of the Invention

[0004] The purpose of this invention is to provide a hierarchical quantization method for physical quantities and spatial trajectories of a three-phase AC system based on an effector-based coordinate system. On the basis of the coordinate system constructed in Patent 1, the hierarchical quantization and mapping rules of the effector-based underlying layer are adopted to clearly define the quantization levels of the spatial layer and the temporal layer, providing a rigorous and distortion-free underlying quantization data foundation for subsequent spatial trajectory analysis, and achieving a balance between physical rigor and engineering convenience.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a hierarchical quantification method for physical quantities and spatial trajectories of a three-phase AC system based on an effector coordinate system, which is based on an equilateral triangular effector coordinate system including a centroid O, three effect axes, and a dynamic spillover mapping mechanism, and includes the following steps: S1: Spatial geometric integration: Obtain the three-phase dynamic rheological trajectory, calculate the sector area formed by the trajectory and centroid O, and define it as spatial geometric integration S; S2: Effects Quantification Dimension Mapping: Select the spatial rotating differential potential method mode or the spatial rotating differential potential product method mode according to the working conditions to map the three-phase physical quantities to the corresponding potential or product. S3: Construction of physical quantities in the spatial layer: In the spatial analysis layer, the attribute potential or function potential is combined with the corresponding product to construct a composite product, and then the composite product is multiplied with the rate potential to construct the instantaneous physical quantities in the spatial layer. S4: Quantity-Potential Level Conversion: Converting an instantaneous physical quantity from the role of "quantity" in the spatial layer to "potential" in the temporal layer; S5: Construction of time-layer effect: Combine the potential of the time layer with the time product t to construct the final time cumulative effect.

[0006] Compared with the prior art, the present invention has the following significant advantages: This invention employs the causal logic of "potential and product degree jointly constructing quantity" from the effects theory: it corrects the logical deficiency of direct multiplication of multiple factors in traditional algorithms. It clearly defines "potential" and "product degree" as the elements constructing the quantity, with both jointly creating the "quantity." The effect quantity is the objective result of this dynamic rheological process, logically rigorous and consistent with fundamental laws of physics. Quantity, potential, and product degree are not merely simple name replacements for multipliers and multiplicands; rather, through in-depth analysis of theoretical electrorheological processes such as quantification dimensions, mapping rules, and dynamic and static effects, the mapping rules between physical quantities and electrical physical quantities possess hierarchical, clear physical meaning and rigorous operational logic, providing electrical factual basis for subsequent precise quantification, fault diagnosis, and control.

[0007] This invention focuses on providing a rigorous quantitative foundation for spatial trajectory analysis, achieving a shift from "algebraic calculation" to "spatial geometric quantification." Traditional algorithms treat physical quantities as purely algebraic symbols for multiplication, resulting in ambiguous physical meanings and an inability to establish a rigorous mapping with spatial geometric forms. This invention establishes a standardized hierarchical quantification mapping rule system based on effects, transforming abstract electrical indices into a rigorous causal logic-based construction process of "potential / productivity / quantity," ensuring that each computational level, conversion process, and physically related object has a clear and unique meaning. Based on this rule, this method can output distortion-free spatial geometric product and composite product data, overcoming the limitations of traditional algebraic black-box calculations in adapting to spatial topological analysis. This provides a rigorously physical underlying quantitative data foundation for subsequent spatial trajectory feature extraction. Voltage references are essentially just a preferred application example of effects-based quantification rules on an electrical physical carrier. The core of this method lies in the "hierarchical quantification mapping rule of effects" itself. This rule is deeply integrated with the geometric boundary of an equilateral triangle, enabling quantification calculations to move beyond one-dimensional time series and realizing the quantitative analysis capability of two-dimensional spatial adversarial equilibrium.

[0008] Effective decoupling of space and time eliminates computational distortions under conditions of frequency variation (non-steady-state): Traditional methods often rely on the assumption of constant frequency, which introduces serious errors once the frequency fluctuates. This invention calculates the rate of change (dS / dθ) of the spatial geometric product S with respect to the spatial angle θ at the spatial layer. This is a two-dimensional planar geometric topological relationship, completely independent of the rate of time (frequency). The frequency ω serves only as a "rate potential" in the formula, acting as a multiplier to bridge space and time. Therefore, regardless of how drastically the system frequency fluctuates, the spatial geometric relationship dS / dθ always retains its physical intrinsic meaning, and the computational conclusions of this invention remain accurate.

[0009] Dual-mode dynamic switching balances extreme computing power with rigorous underlying physics: This invention pioneers a dual-calculation mode of "spatial rotating differential potential method" and "spatial rotating differential potential product method". Under normal steady-state monitoring conditions, the spatial rotating differential potential method is used by default, relying on simplified geometric topology to complete the calculation, significantly shortening the calculation link and meeting the requirements for millisecond-level fast protection response. When the equipment is in variable frequency speed regulation operation, three-phase trajectory is significantly unbalanced and distorted, or offline underlying parameter design scenarios, it can seamlessly switch to the spatial rotating differential potential product method, fully introducing magnetic flux and spatial projection coefficients to restore the underlying physical essence of electromagnetic induction. This dual-mode architecture not only ensures the high efficiency and low computing power advantages of daily online monitoring of equipment, but also achieves rigorous and accurate quantification of physical quantities in non-steady-state, fault distortion, and R&D simulation scenarios.

[0010] The deep integration of geometric boundaries and quantization levels provides rigorous physical calculation constraints: This invention works closely with Patent 1, deeply integrating the equilateral triangle boundary, circumcircle, and incircle from Patent 1 into the quantization calculation system. The total area of ​​the equilateral triangle constitutes the maximum physical upper limit of the spatial geometric product S; the circumcircle serves as the ideal spatial product benchmark, ensuring the accuracy of the area change rate dS / dθ calculation; the incircle quantifies the "minimum effective work basis." When the trajectory area is less than the area of ​​the incircle (determination circle), the system determines that the spatial product is insufficient to maintain the counterbalance. At this point, various electrical indicators calculated based on this quantization rule essentially lose their effective physical reference value (power and energy are only one type of indicator), thus achieving a closed loop from "graphical warning" to "quantization calculation protection." Attached Figure Description

[0011] The present invention will now be described in further detail with reference to the accompanying drawings and specific implementation methods.

[0012] Figure 1 This is a flowchart illustrating the hierarchical quantization mapping rules and dual-mode conversion process of physical quantities and spatial trajectories based on the effector coordinate system in this embodiment of the invention.

[0013] Figure 2 This is a logic diagram of quantity-potential hierarchy conversion and effect quantity construction in an embodiment of the present invention. Detailed Implementation

[0014] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention.

[0015] 1. Prerequisites: The data processing rules and underlying quantization calculation techniques involved in this series of inventions rely on multi-dimensional feature vectors. These feature vectors are not existing time-electrical algorithms, but rather spatial analysis methods. This spatial analysis method relies on theories such as dynamic and static effects and quantization dimensions in effects science to have clear physical meaning and logical correspondence. Therefore, this patent inevitably uses a lot of effects science content and terminology (the subsequent patents 3-6 rarely use effects science-specific terminology). To clearly explain the hierarchical quantization calculation logic of this invention, the basic effects science terminology, spatial geometric analysis calculation benchmarks and trajectory eccentricity mechanisms, strict distinction of quantization levels and "composite product" construction logic, and standardized pre-processing schemes involved in this scheme are first uniformly defined. Subsequent embodiments are all based on the rules in this section.

[0017] The positioning and synergy of this patent within the field of electrical patents in the field of effects. To clearly illustrate the position and synergistic relationship of this patent (Patent 1) within the entire series of inventions, it is listed below:

[0018] 1.2 Basic Terminology and Engineering Definition of Effects Effects Science: Effects Science is a scientific philosophy-based quantitative theoretical system independently developed by the inventor. The book contains approximately 350,000 words; detailed information can be found on the official Effects Science website. It takes the elements, processes, and results of matter and effects as its research objects, providing a set of practical, fundamental epistemologies and methodologies (quantification methods). In this patent, it provides hierarchical quantitative mapping rules and logical support for the entire family of space electrical patents. It must be acknowledged that Effects Science is not yet mature, but any theory has a maturation process, and the standard for judging the value of a theory should be whether it can liberate productive forces. This invention only uses some necessary content and cannot provide a detailed explanation.

[0019] 1.2.1. Effect type related: Static effect: Corresponding to the substance itself, it characterizes the inherent potential of the substance to undergo rheological changes in a field; Dynamic effects: Corresponding to objective events, they characterize the material preparation, rheological process, and results of matter completing rheological changes in a field.

[0020] Effect quantity: The cumulative quantitative result corresponding to the complete rheological process of dynamic effects, such as power generation.

[0021] Effect field: Dynamic effects depend on the environmental conditions in which they occur, and are divided into existence field (time, space) and action field (electric field, magnetic field, etc.).

[0022] 1.2.2 Quantitative Dimensions: 1.2.2.1 Quantity: Indicators for quantifying the breadth of things include static quantities, which refer to the quantities possessed by matter, divided into field quantities and volume quantities. Field quantities refer to quantities that assess time, space (existence field), or other environmental conditions (action field, complex field), such as operating time and swept space. Volume quantities refer to the quantities possessed by the substance itself, such as the volume of a generator, the number of coil turns, etc. The cumulative flow of dynamic effects throughout the entire process is called the effect quantity, such as the amount of electricity generated.

[0023] 1.2.2.2, Integral: A quantity is a process quantity that, together with potential, constructs a quantity. Most product degrees are adjustable, easily changeable in quantity, or continuously variable. Product degrees belonging to the ordinary matter are called volumetric degrees, such as weight and volume. Product degrees that can be used as fields are called field product degrees. Time and space both belong to (existing) field product degrees. The operating time of a generator belongs to the time field product degree, while rotation angle and swept area belong to the spatial field product degree. The predecessor of product degree (in the next higher level of quantification) is generally a quantity.

[0024] Composite product: A derivative subclass of product. In multi-level quantization calculations, the bottom-level product is combined with the corresponding potential to complete the mapping operation to generate intermediate transition quantities. In higher-level calculations, composite product will assume the role of "product" to participate in the final index solution.

[0025] 1.2.2.3, Potential: Potential is used to quantify the nature or dynamic manifestation of things. Its classification is complex; the following are three independent, non-conflicting classification standards: 1.2.2.3.1 Time Domain Division (Static Potential and Dynamic Potential): Static potential: characterizes the properties of matter in its non-rheological state; Dynamic potential: The potential exhibited by matter when it participates in dynamic effects. It often changes dynamically with external conditions and can be temporarily stable or continuously fluctuating.

[0026] 1.2.2.3.2. Mathematical Classification (Difference Potential / Ratio Potential / Function Potential): Potential difference: Defined by the difference between two quantitative indicators. If it is the main potential difference, it has a direct driving effect, such as power supply voltage. Transmission rule: For the main energy source, voltage belongs to the potential difference. When applied to a load, voltage is converted into a quantity on the load side, coupled with impedance (constraint product) to generate current rate potential. Energy is transferred step by step according to the general potential transfer principle of efficiency. In this invention, the system terminal voltage (such as grid voltage or motor terminal voltage) belongs to the state potential difference. Its value fluctuates dynamically with external operating conditions. When the state potential difference deviates from the threshold, trajectory distortion judgment and equipment abnormality warning are triggered simultaneously, participating in dynamic rheological layered evaluation. The electromagnetic coupling constant determined by the inherent hardware parameters of the equipment, such as the number of coil turns, permanent magnet magnetomotive force, and magnetic circuit material, belongs to the attribute potential difference (i.e., attribute potential k in this patent). This attribute potential difference, as the inherent material basis of electromagnetic excitation, is stable in the long term without rapid rheological changes. It couples with the spatial field product dS / dθ to jointly construct the spatial equivalent power characteristic quantity P. _eq .

[0027] Rate potential: Defined by the ratio of two sets of related indicators, it is divided into two categories: Static rate potential: The inherent constant ratio coefficient of the main body, such as the spatial equivalent power characteristic density coefficient k of this patent, where k represents the power generation potential of the generator and k represents the electrical energy-mechanical energy conversion potential of the motor; Dynamic rate potential: Changes in real time with external operating conditions, such as three-phase current and electromechanical angular frequency ω. Functional potential: A potential in the form of a function that cannot be expressed by a difference or a simple ratio; in this patent, the spatial projection coefficient cosθ is a functional potential (although geometrically it is the ratio of the adjacent side to the hypotenuse, electromagnetic operation logic does not belong to the category of proportional potential). 1.2.2.3.3. Origin and Stability Scale (Attribute Potential / State Potential): Attribute potential: A potential determined by the inherent structure and essential properties of the subject, possessing long-term relatively stable characteristics, usually classified as static potential or static rate potential; In this patent, the coefficient k is a typical attribute potential, the value of which is determined by hardware parameters such as the number of stator turns, permeability, air gap, and permanent magnet energy product; It only exhibits small drift on the hour / year scale under equipment aging and long-term high-temperature conditions, which can be corrected by segmented parameter tuning without changing its attribute potential classification attribute; Attribute potential can be either difference potential or rate potential at the same time, and the two sets of classification rules are independent of each other.

[0028] State potential: State potential refers to the potential of a substance during its motion and rheological process (dynamic state potential) or the unstable potential of the substance itself (static state potential). State potential often fluctuates rapidly with real-time external conditions and operating conditions. The three-phase current and spatial equivalent current in this patent are typical dynamic state potentials, used to characterize the real-time rheological operating state of the equipment.

[0029] Claims 1-6 of this patent construct the spatial equivalent power characteristic quantity P. _eq When determining the rheological threshold of the inscribed circle, the static rate potential type attribute potential k defined in this section is used as the inherent calibration coefficient. The severity of the rheological changes of the equipment is determined by the fluctuation amplitude of the state potential. When the derivative of the state potential dX / dt exceeds the threshold, the adaptive switching between the inscribed circle integral truncation and the dual quantization mode is triggered.

[0030] 1.2.2.4 The roles of the quantification dimensions of potential, quantity, and product degree are not static, but are related to the quantification level and mapping rules. This can be easily understood by referring to the "Effect Terminology - General Electrical Quantity Hierarchical Mapping Reference Table" in Example 2.

[0031] 1.2.2.5. Quantitative dimensions and the ability to deduce dynamic and static effects. The aforementioned terms are not merely replacements for existing electrical quantities, but rather a systematic theoretical framework that can be transferred in batches to multiple scenarios. Based on the same underlying logic, it can derive a series of intellectual property rights such as motors, energy storage, power grids, fluid mechanics, computational law, and government performance evaluation. No existing sub-science or traditional philosophy possesses the ability to quantify across the entire domain.

[0032] 1.2.3 The relativity of stability / rheology: The attribute potential drift is a long-term slow change, while the state potential fluctuation is a fast change within seconds; the quantitative basis for judging rheology is that the first derivative of the index with respect to time, dX / dt, exceeds the preset fluctuation threshold; the classification of state potential is determined by the physical nature of the subject and is not affected by whether the instantaneous value is constant (when the steady-state constant current dI / dt≈0, the current still belongs to the dynamic state potential).

[0033] 1.3 Explanation of the correspondence between physical quantities and effector mapping quantities To clarify the connection between this patented technical solution and existing physical systems, the correspondence between the technical terms of effects and classical electrical physical quantities is defined as follows: Physical Source and Data Acquisition: The physical sensing layer of this patented system still relies on standard voltage transformers (PT) and current transformers (CT) to acquire the physical quantity of three-phase instantaneous voltage (u). _a u _b u _c ) and three-phase instantaneous current physical quantities (i _a i _b i _c This is the data source for this technical solution, and it conforms to industry-standard practices.

[0034] Effects spatial mapping: Based on the equilateral triangular effects coordinate system constructed by Patent 1, the system maps the collected classical physical quantities into spatial geometric trajectories: Voltage mapping: mapping the three-phase instantaneous voltage (u) _a u _b u _c Mapped to a coordinate system, the resulting dynamic trajectory is called the "voltage spatial rheological trajectory". In this trajectory, the distance from the centroid O to the vertex (representing the amplitude potential difference) and the geometric shape of the trajectory are defined as the "spatial rotating potential difference" in the quantification system of effects. Therefore, the "spatial rotating potential difference" is essentially an effects representation of the "three-phase voltage" in the spatial geometric dimension.

[0035] Current mapping: mapping the three-phase instantaneous current (i _a i _b i _c Mapped to a coordinate system, the resulting dynamic trajectory is called the "current spatial rheological trajectory." Within this trajectory, the geometric characteristics representing the rate of rheological change and its spatial distribution are defined as the "spatial rotating current rate potential" in the quantification system of effects. Therefore, the "spatial rotating current rate potential" is essentially an effect-based spatial rheological rate potential representation of the "three-phase current" in the spatial geometric dimension.

[0036] Spatial decoupling and independent analysis value: Although in classical circuit theory, voltage and current are coupled through impedance (U=IZ), from the perspective of effect-based spatial analysis, the spatial geometric distortions of voltage and current trajectories are often asynchronous, which provides unique value for fault diagnosis in this patent. Sensor error decoupling: When the PT experiences magnetic saturation, causing false distortion of the voltage trajectory (abnormal spatial rotational potential difference), while the CT works normally (normal current trajectory), the system can identify and eliminate measurement interference by comparing the spatial geometric characteristics of the two (such as the anchoring mechanism described in patent 3).

[0037] Fault feature separation: When the grid voltage fluctuates (voltage differential potential changes) but the load is constant (current rate potential remains unchanged), or when the voltage waveform is sinusoidal (circular trajectory) but the current contains high-order harmonics (petal-shaped trajectory), the effect spatial analysis method can extract the independent spatial geometric features of the voltage side and the current side respectively, avoiding the mutual masking between the two in traditional algebraic calculations.

[0038] Terminology Usage Guidelines: In the subsequent description of this patent, "spatial rotating differential potential method" refers to a quantization mode with voltage as the primary analysis object; "spatial rotating differential potential product method" (or a mode involving magnetic flux / current) refers to a quantization mode with effective induced magnetic flux as the primary analysis object. This terminology definition reduces ambiguity between the "spatial geometric quantization" terminology and indicators in effects science and traditional physics terminology and indicators, while its physical data foundation remains firmly established on traditional physical voltage and physical current acquisition.

[0039] 1.4 Explanation of the Spatial Geometric Analysis Calculation Baseline and Trajectory Eccentricity Mechanism In actual three-phase system operation, trajectory eccentricity is a direct manifestation of spatial imbalance. To ensure the physical rigor of the layered quantitative calculations in this patent, the calculation benchmarks for the spatial geometric product S and its rate of change dS / dθ under eccentric conditions are clearly defined here: Eccentricity occurs under certain operating conditions and changes in trajectory shape: When the system is under conditions such as severe three-phase load asymmetry or single-phase heavy load, the instantaneous physical quantities of the three phases no longer maintain an ideal state. At this time, the trajectory of the state point P will change from a standard circumscribed circle to an eccentric circle or ellipse, and the distance (radius) from the state point P to the fixed centroid O will change periodically with the spatial angle θ.

[0040] Physical Significance and Calculation Baseline Definition: When calculating the spatial geometric product S, this invention always locks the fixed centroid O of the equilateral triangular coordinate system as the sector vertex and calculation base, never moving the origin due to trajectory eccentricity. Its core physical significance lies in the fact that eccentricity causes the radius vector of the state point P relative to the fixed origin O to increase when it approaches the heavily loaded phase, thus increasing the rate of change of the swept sector area dS / dθ; conversely, when it approaches the lightly loaded phase, the radius vector decreases, and dS / dθ decreases accordingly. This periodic fluctuation of dS / dθ precisely quantifies the "spatial rheological pulsation" caused by the imbalance of the three-phase spatial potential difference.

[0041] The engineering value of hierarchical quantitative calculation: ① Decoupling Spatial Pulsations and Temporal Accumulation: This invention uses a fixed centroid O as a reference to strictly limit the potential difference pulsations (dS / dθ fluctuations) in the spatial dimension to the spatial quantization range, ensuring that the spatial effect power characteristic quantity P is converted to the temporal layer. _eq It only reflects the true energy transfer trend, effectively overcoming the evaluation distortion of traditional algorithms that misjudge spatial fluctuations as time-domain energy errors under unbalanced operating conditions.

[0042] ② Robustness of computation under extreme conditions: Even if the trajectory is severely eccentric or even distorted, the area integral logic based on the fixed centroid O still maintains mathematical continuity and physical consistency, avoiding the computational divergence problem caused by the drift of the origin in the traditional coordinate system.

[0043] 1.5 Strict Distinction of Quantitative Levels and the Construction Logic of "Composite Productivity" In effects quanta, all quantities are constructed from product and potential. When three or more factors are multiplied in an existing physical formula, it should be decomposed into two quantization levels, and a logical loop is achieved by constructing a "composite product". Bottom Level (Basic Quantization Level): Constructing the composite product. The "attribute potential for evaluating relative stability" or "functional potential" is closely linked to the "product" to construct the "composite product". Physical Meaning: Characterizes the capacity effectively accumulated (or released) in the actual rheological process under a specific stability property or topological law. Upper Level (Target Quantization Level): Constructing the final physical quantity. The "composite product" constructed in the bottom level (acting as the product here) is multiplied by the "rate potential" to construct the final "physical quantity". Physical Meaning: Characterizes the extensive effect (objective effect) produced by spatial rheology in the time field.

[0044] 2. Implementation Plan: 2.1 Joint Implementation Plan – Quantitative Data Interface, Pre-cleaning Rules, and General Geometric Constraints This invention, as a low-level quantitative calculation method, focuses on establishing rigorous effect-based quantitative mapping rules. To ensure the physical rigor of this rule engine under all operating conditions, this invention defines standardized data input interfaces and pre-cleaning rules, and executes them using a general-purpose computing platform. 2.1. Standardized data input interface and pre-processing (algorithm logic): The system acquires three-phase instantaneous physical quantity digital signals from external sensing devices through a standardized interface (meeting microsecond-level multi-channel absolute synchronization). Before the data enters the quantization engine, the following cleaning rules are enforced: Rule 1 (Error Compensation): Use the "Sensor Error Compensation Matrix" to correct the amplitude and phase.

[0045] Rule 2 (Static Centroid Calibration Subtraction Method): The static offset correction of the trajectory is completed by the preprocessing step. This patent directly receives the static centroid O after unloaded operation. _static The distortion-free trajectory data after offset subtraction does not require repeated calibration calculations.

[0046] ② Effects-based quantization rule engine and universal geometric constraints: The quantization calculation runs on a general-purpose computing platform, and its internal logical architecture is forced to follow the following general geometric boundary constraint rules (which integrate the geometric boundary depth of Patent 1 into the quantization system as a physical constraint): Rule A (Upper Limit Constraint of Equilateral Triangle): The total area of ​​the equilateral triangle represents the upper limit of the maximum physical quantity of the spatial geometric product S, preventing the infinite expansion of the spatial product under extreme faults from causing calculation divergence.

[0047] Rule B (Circumcircle Reference Constraint): The circumcircle represents the spatial geometric integration reference under the ideal standard three-phase state. Any shape that deviates from the circumcircle will have its area change rate dS / dθ accurately captured based on this reference.

[0048] Rule C (Inscribed Circle Basis and Quantization Truncation Mechanism): The quantization of the inscribed circle area represents the "minimum effective work basis" for the system to maintain three-phase symmetrical spatial coupling. When the trajectory area is detected to be less than the inscribed circle area (i.e., the minimum effective work basis) in real time, the system determines that the spatial product is insufficient to maintain the counterbalance and automatically triggers the "quantization truncation" mechanism, stopping the subsequent time-level integration accumulation to avoid miscounting ineffective heat loss as effective physical quantity.

[0049] 2.2 General Process of Constructing Mapping Rules for Effects Quantification Hierarchy The topic of effects is extensive, and its applications are not limited to the field of physics. It is difficult to fully demonstrate the quantitative hierarchical construction steps of all dynamic effects here. Instead, we will use the dynamic effect of power generation to illustrate some representative processes: 2.2.1 Step 1: Establish the target model for dynamic effect types and effect sizes Establish dynamic effects: Clarify the current object of analysis, taking "power generation dynamic effects" (the process and result of generator rotor rheometry generating electrical energy in magnetic field) as an example.

[0050] Establishing the target effect quantity: The ultimate objective effect of this dynamic effect is to assess the rheological trend of "power generation". At higher levels, a general model is adopted, using time as the field product and spatial equivalent power characteristic quantity as the rate potential: Effect quantity = ∫(Effect potential) · d(Effect product). For this patent, the time product is t, and the effect potential is the spatial equivalent power characteristic quantity P. _eq The effect quantity is the cumulative quantity of spatial energy rheological characteristics, W. _eq =∫P _eq ·dt (∫ is the integral sign). This cumulative quantity is not electrical energy in traditional electrical engineering, but is used to quantify the relative loss trend, the proportion of ineffective heat work done, and to assist in correcting the SOC estimation during the long-term operation of the system.

[0051] 2.2.2 Step Two: Quantification of the Material Basis of Dynamic Effects The material basis of dynamic effects includes the effect field and the effect source. The effect field in theoretical physics is abstract and simple. If the generator is considered as a whole, then we only need to analyze its rheological ability and process of current in the time field and the space field. Therefore, we must first analyze the generator, that is, quantify the generator's power generation capacity.

[0052] Mapping rule: The basic properties of matter with static effects can be quantified. The physical structure of a generator (number of turns in the stator coil, permeability of the magnetic circuit material, air gap length, energy product of the permanent magnet, etc.) determines its inherent potential for power generation. This property of assessing the potential power generation capacity of a generator is relatively stable. Therefore, in effectology, the quantified dimension is given the role of potential, specifically "structural property potential (k)," which is the material basis for subsequent spatial rheological mapping.

[0053] 2.2.3 Step 3: Quantification of the source of effectiveness in the spatial existence field Unlike traditional analysis methods, the fundamental difference of effect science lies in the analysis of the nature of the space field. Therefore, it is necessary to first analyze how the generator constructs the equivalent power characteristic quantity in the space field.

[0054] Mapping Rule: The generator structural property potential k established in step two only represents the generator's inherent potential energy, which can only generate rheology when dynamic effects occur in the field. For the dynamic effects of power generation, the generator rotor rotates and sweeps across the magnetic flux area in physical space. This physical process is rigorously mapped and characterized in the effect coordinate system as the spatial geometric product S (i.e., pure spatial geometric capacity) swept by the three-phase dynamic rheological trajectory. The rate of change of the spatial geometric product S with respect to the spatial angle θ, dS / dθ, is defined as the "spatial field product," which, in its physical essence, is equivalent to the rate of change of the area of ​​magnetic field lines cut by the rotor per unit spatial angle, i.e., the pure spatial geometric expansion rate (characterizing how fast the spatial geometric capacity changes with angle).

[0055] Constructing the composite integration: The attribute potential k objectively defines the mapping law of spatial rheology. In the power generation effect, the two are combined to construct the composite integration M. _comp =k·dS / dθ. It is the effective electromagnetic induction capacity accumulated by the generator sweeping the magnetic flux area in a two-dimensional spatial magnetic field, and it characterizes the spatial flux variable that actually participates in electromagnetic induction under the constraint of structural property k.

[0056] 2.2.4 Step Four: Dynamic Construction of "Quantity" in Time and Space Layers The second step in spatial analysis is to analyze the rheological potential of the generator in the field and correlate it with the aforementioned composite product to establish a mapping and quantify the equivalent power characteristics.

[0057] Mapping rule: The mechanical angular velocity ω of the generator rotor is the driving force for the rheological change of the spatial magnetic flux, which belongs to a kind of "potential" that characterizes the operating state.

[0058] Constructing spatial layer "quantity": the composite product M constructed at the bottom layer _comp Multiplying with the rate potential ω, we construct the instantaneous spatial layer equivalent power characteristic: P _eq (θ,t)=M _comp P _eq (θ)·ω(t)=k· ·ω. Where dS / dθ represents the rate of change of spatial geometric product with respect to spatial angle θ (a purely spatial topological parameter), and ω represents the rate potential of temporal flow (the temporal dynamic driving spatial flow). Multiplying the two constructs the instantaneous spatial equivalent power characteristic quantity P. _eq .

[0059] 2.2.5 Step Five: Quantity-Potential Transformation and Continuous Accumulation of "Effect Quantity" over Time The above process demonstrates the difference between the spatial analysis method of effects and the analysis of traditional physics. However, the above process only constructs power, which is a state quantity. For a specific power generation process, it is necessary to continue to analyze the specific flow variable of spatial equivalent rheological energy. Therefore, it is necessary to return to the same time rheological process as traditional logistics.

[0060] Mapping rule: Spatial equivalent power feature P after spatial layer construction _eq This characterizes the instantaneous state quantity of spatial flow. When accumulated across the time dimension, a "quantity-potential" degradation transformation occurs, P _eq The "quantity" at the spatial level is downgraded to the "effect potential" at the temporal level, with time t serving as the "time-existence field product".

[0061] Constructing the effect size: the effect potential P at the time strata _eq Combined with the time product t, the continuous integration operation W over the time product is used. _eq =∫P _eq ·dt, ultimately constructing the objective effect of the dynamic effect of power generation—the cumulative spatial energy rheological characteristics W. _eq (Like the spatial equivalent power characteristic, it is not physical electrical energy, but it is positively correlated with it.)

[0062] 3. Implementation Examples Based on the general process of constructing mapping rules according to the above-mentioned effect quantification hierarchy, and combined with different engineering application levels, the following specific embodiments detail the specific implementation of this general rule under different engineering scenarios and physical dimensions. Embodiment 1 echoes the derivation of power generation dynamic effects in the above general process, further demonstrating its engineering execution logic under the spatial rotating differential potential method mode: 3.1 Example 1: Hierarchical Construction of Spatial Rotating Electrostatic Potential Method Mode (Upper Application Layer) and Spatial Equivalent Power Characteristic Quantities In higher-level applications such as steady-state monitoring and fault protection, the system adopts the spatial rotating differential potential method and strictly follows hierarchical logic to construct the instantaneous spatial equivalent power characteristic quantity P_eq. The specific steps are as follows: First, based on the physical sensing and synchronous acquisition layer in the common implementation scheme, the three-phase dynamic rheological trajectory is acquired. The effect spatial mapping module maps the acquired instantaneous physical quantities to an equilateral triangular effect coordinate system and calculates the sector area formed by the trajectory and the centroid O as the spatial geometric product S.

[0063] Secondly, construct the composite product at the bottom layer (basic quantization layer): 3.1.1 Define the system spatial equivalent power characteristic density coefficient k as the attribute potential (a numerical value for evaluating the relative stability properties of matter such as motor or grid impedance and the inherent electromagnetic characteristics of the system).

[0064] 3.1.2 Calculate the rate of change of spatial geometric product S with respect to spatial angle θ, dS / dθ, which is defined as product (an index characterizing the change and rheology of spatial trajectory).

[0065] 3.1.3 The attribute potential k objectively defines how the product dS / dθ is mapped according to the inherent attribute law of the system. The two are closely related, constructing the composite product (M). _comp =k·dS / dθ). Its physical meaning is: characterizing the effective electromagnetic capacity accumulated by spatial rheology under the stable properties of a specific system. Next, the final physical quantities of the upper layer (target quantization layer) are constructed: 3.1.4 Define the system angular frequency ω as the rate potential (dynamic rate potential / frequency potential) (an index that quantifies the relative stability of time-varying rheology and drives spatial rheology).

[0066] 3.1.5 The composite product M _comp Multiplying this by the rate potential ω, we construct the final instantaneous spatial equivalent power characteristic P. _eq : P _eq =M_ comp ·ω=(k·dS / dθ)·ω.

[0067] The spatial equivalent power characteristic quantity P_eq is positively correlated with the actual physical electrical power of the system in terms of its physical evolution trend, but it is not equivalent to electrical power in traditional physics. Its physical essence lies in the fact that dS / dθ characterizes the rate of geometric evolution of the three-phase spatial physical fields (voltage / current / magnetic flux vectors) in an equilateral triangular coordinate system. When the equipment load increases or energy transmission intensifies, the sweeping and deformation of the spatial vectors inevitably intensify, and dS / dθ increases accordingly, thus causing P_eq to increase. _eq It shows a high positive correlation with actual electrical power. However, P _eqThis approach removes the absolute physical amplitudes (such as RMS voltage / current values) and spatial phase couplings (such as power factor angle) required in traditional electric power calculations, reducing their dimensionality and reconstructing them into a pure "spatial geometric evolution rate" or "equivalent thermal stress trend index." This treatment method enables P... _eq It is immune to the complex amplitude fluctuations and phase calculations of traditional power metering, directly reflecting the activity level of the internal physical field and the relative intensity of energy conversion with extremely low computing power. Its purpose is not to analyze actual spatial electrical power, but rather to be used to analyze trends in power quality rheology, effective work and loss ratio trends, and to quantitatively monitor progressive faults. Simultaneously, this calculation process strictly adheres to the principles of effectology: "quantitative (P...)". _eq ) by product degree (M _comp The principle of “constructed from potential (ω)” solves the flaw of the lack of logical meaning in the direct multiplication of three numbers in traditional time-current electricity.

[0068] 3.2 Example 2: Spatial Rotation Potential Difference Product Method Mode (Bottom Design Layer) and Hierarchical Construction of Voltage Quantities In low-level applications such as generator design and variable frequency speed control analysis, the system adopts the spatial rotating potential difference product method and strictly follows hierarchical logic to construct the instantaneous voltage quantity U. The specific steps are as follows: First, in the equilateral triangular effect coordinate system, the distance R from the centroid O to the vertex is... _ideal This is mapped to the maximum flux product Φm. Next, the composite product of the underlying layer (basic quantization layer) is constructed: 3.2.1 Define the spatial projection coefficient cosθ as a functional potential, where cosθ is the geometric projection coefficient corresponding to the spatial position of the coil. cosθ does not directly drive magnetic flux rheology, nor does it characterize the rate of change of magnetic flux. Instead, it objectively defines how the magnetic flux product Φ is mapped to a quantity effectively participating in electromagnetic induction according to a specific law of spatial topological projection. cosθ evaluates the relatively stable property of the coil's fixed topological position in space.

[0069] 3.2.2 Define magnetic flux Φ as a volumetric quantity (in the previous level of quantization, the volumetric quantity is generally a quantity, but in this level it plays the role of volumetric quantity, which is a fundamental physical quantity that characterizes the change and accumulation capacity of the magnetic field).

[0070] 3.2.3 The functional potential cosθ is closely related to the flux product Φ, constructing the effective spatial flux product (composite product) (Φ_ eff =Φ·cosθ). Its physical meaning is: in the total magnetic flux, by eliminating the ineffective components parallel to the coil plane, the effective accumulated magnetic flux that truly passes perpendicularly through the coil and actually participates in electromagnetic induction is accurately extracted. Next, the final physical quantities of the upper layer (target quantization layer) are constructed: 3.2.4 Define angular frequency ω as rate potential (dynamic rate potential / frequency potential) (the time dynamic driving force for changes in magnetic flux).

[0071] The effective spatial flux product Φ_ eff Multiplying this by the potential ω, we construct the final instantaneous voltage U: U = Φ_ eff ·ω=(Φ·cosθ)·ω. This process perfectly replicates the physical essence of Faraday's law of electromagnetic induction, and by introducing a "functional potential," it conforms to the underlying logic of "productivity and potential-constructed quantity" in efficacies. Finally, through the command issuance and execution layer, the calculated voltage U is used for inverter parameter tuning or generator excitation control.

[0072] In practical engineering systems, the aforementioned parallel quantitative dimensions do not exist in isolation, but rather achieve parallel collaboration and dynamic conversion through a "two-layer architecture." The system's bottom layer runs a spatial rotating differential potential product method program to establish a database of intrinsic parameters such as magnetic flux capacity; the system's upper layer runs a spatial rotating differential potential method program to provide intuitive decision support. When the system detects significant fluctuations in the electrical angular frequency (ω-rate potential) or enters variable frequency speed control mode, a dual-mode dynamic conversion mechanism based on spatial geometric product S and composite product parameters is triggered. Through a built-in conversion interface, the system automatically multiplies the bottom-layer product parameters with the current rate potential, converting them in real time to the upper-layer voltage differential potential parameters, achieving seamless switching.

[0073] 3.2.6 The table below is a comparison table of the hierarchical mapping between the spatial geometric features of the effects and the general physical quantities used in Examples 1 and 2:

[0074] 3.2.7 Comparison and Synergistic Explanation of the Spatial Rotating Electrostatic Potential Method and the Spatial Rotating Electrostatic Potential Product Method 3.2.7.1 The physical essence and engineering advantages of the "spatial rotating differential potential method" adopted in the application layer (focusing on macroscopic morphology monitoring and power quality assessment) In upper-level applications such as steady-state operation monitoring, power quality trend assessment, and fast relay protection, the core requirements are low computing power response and keen capture of spatial geometry.

[0075] The spatial rotating differential potential method described in this invention defines the "distance from the centroid to the vertex" in an equilateral triangular coordinate system as the maximum spatial rotating differential potential, and defines the "spatial geometric change rate dS / dθ" as the product. Its core advantage lies in its extremely short computational link: this method directly utilizes the pure geometric topological relationship output by the coordinate system, avoiding complex integration and spatial projection calculations. Under steady-state monitoring or sudden operating conditions, the system can complete the rendering of the spatial rotating differential potential trajectory morphology and macroscopic health status assessment within microseconds / milliseconds. Especially in the early stages of progressive faults (such as slight asymmetry in three-phase parameters or slow changes in contact impedance), the system exhibits minute eccentricity anomalies or centroid drift in the spatial rotating differential potential trajectory. The spatial rotating differential potential method can continuously and rapidly capture the degradation trend of such geometric morphologies with extremely low computational power, meeting the requirements of upper-level systems for real-time performance and early warning.

[0076] 3.2.7.2 The physical essence and engineering advantages of the "spatial rotation potential product method" adopted at the bottom layer (emphasizing the reduction of the microscopic physical essence and the prevention of thermal runaway) In underlying applications such as variable frequency speed control analysis of heavy equipment, control of extremely low speed and heavy load, and monitoring of operating conditions and prevention of thermal runaway of extremely high safety equipment (such as nuclear power main pumps and ultra-high voltage converter transformers), the core requirement is to restore the microscopic physical nature of electromagnetic induction and accurately eliminate the invalid physical components that cause abnormal heating.

[0077] The spatial rotating differential potential product method described in this invention defines the "distance from the centroid to the vertex" as the maximum magnetic flux or electric field product, and introduces the "spatial projection coefficient cosθ" as a function potential. Its core advantage lies in constructing a "topological filter" to accurately remove ineffective dissipative components: In real equipment, under complex operating conditions or when a local fault occurs, there are numerous stray components in space that are parallel to the effective working surface or do not generate effective drive (such as leakage flux and local circulating current). The spatial rotating differential potential product method introduces a function potential (cosθ) and constructs a "composite product" with the magnetic flux / electric field product, thereby accurately eliminating the aforementioned ineffective spatial components. This enables the system to extract, without distortion, the minute abnormal heat losses caused by early inter-turn short circuits, partial discharges, or mechanical wear from the background alternating field, providing a robust physical characteristic foundation for early warning of thermal runaway and deep, progressive fault diagnosis in critical equipment.

[0078] 3.2.7.3 Unified Underlying Logic and Dual-Mode Dynamic Synergy from an Effects Perspective From the perspective of the "quantity, potential, and product degree" theory in effects science, the above division explains the strict distinction of quantification levels and the dynamic transformation of roles: In the spatial rotational electrical differential potential method, the spatial rotational electrical differential potential is regarded as the "potential" driving the spatial trajectory observation, and the spatial sweep rate is regarded as the "product degree"; while in the spatial rotational electrical differential potential product degree method, the accumulated quantity of the spatial physical field is regarded as the "product degree", and the projection coefficient (cosθ) determined by the spatial position is regarded as the "functional potential" that objectively defines the mapping law. For the same physical system, the roles of quantity, potential, and product degree dynamically switch depending on the observation level and diagnostic purpose, but all strictly follow the hierarchical quantification mapping rule of effects science that "potential and product degree jointly construct quantity".

[0079] In practical engineering monitoring systems, this invention achieves seamless collaboration between the two modes through a "dual-mode dynamic conversion mechanism": During the routine monitoring phase: the default operating method is the rotating differential potential method, which continuously monitors the voltage space trajectory morphology and macroscopic indicators of power quality with extremely low computing power. Operating condition switching and diagnosis stage: When the system detects complex operating conditions such as abnormal trajectory eccentricity, drastic frequency change or extremely low speed operation, it seamlessly switches to the spatial rotational electrical differential potential product method, introduces functional potential to restore the microscopic physical essence, eliminates normal fluctuation interference, and accurately locks abnormal heat dissipation or insulation degradation characteristics.

[0080] This architecture design, which emphasizes "form efficiency at the upper level and physical essence at the lower level," effectively overcomes the technical limitations of a single algorithm in balancing computational power consumption and physical rigor, providing an independent quantitative analysis dimension for the full lifecycle health management of devices.

[0081] 3.2.7.4 Explanation of the current method: Based on the spatial geometric isomorphism of the effector coordinate system, the voltage and current normalization benchmarks follow the exact same hierarchical quantization mapping rules. There is no essential difference in the methods used to construct physical quantities, and they are physically equivalent. This patent provides a detailed explanation using the voltage method as an example; the current method, based on the isomorphism principle, is directly applicable and will not be elaborated upon for the sake of brevity.

[0082] 3.3 Example 3: Specific Implementation of the Dual-Mode Dynamic Conversion Mechanism In practical engineering systems, Examples 1 and 2 above can be used individually or in combination, or integrated into the system for switching. Since geometric distances (such as vertex distances) in the effector coordinate system are characteristic space quantities, when actually mapped to physical quantities (voltage or magnetic flux), a per-unit value normalization calibration rule needs to be introduced: During the system initialization phase, the peak values ​​of the three-phase physical quantities under rated operating conditions are collected and mapped to the circumcircle radius of the equilateral triangular effector coordinate system. Establish a linear proportionality coefficient K between geometric distance and physical quantity amplitude. _scaleTherefore, the actual physical value of the spatial rotating electrostatic potential method or the spatial rotating electrostatic potential product method is the geometric distance multiplied by K. _scale This eliminates dimensional conflicts. The following explains how a "two-layer architecture" enables the coexistence and switching of two modes. The system's bottom layer runs a spatial rotating differential potential product method program to establish a database of intrinsic parameters such as magnetic flux capacity; the system's upper layer runs a spatial rotating differential potential method program to provide intuitive decision support. When the system detects significant fluctuations in the grid frequency (monitoring the real-time rate of change of angular frequency ω through the full-condition topology measurement module; when |dω / dt| exceeds a preset threshold (e.g., the rate of change of angular frequency exceeds 5% per second of the rated angular frequency), or the trajectory eccentricity ε exceeds a safety threshold (e.g., 0.15)), the dual-mode dynamic switching mechanism is triggered. Through a built-in conversion interface, based on the efficacious equivalent form of Faraday's law of electromagnetic induction U=ω·Φ, the system automatically multiplies the bottom-layer product parameter with the current rate potential to calculate the upper-layer spatial rotating differential potential parameter u in real time. _k This enables seamless switching. Specifically, in the quantization system of effects, magnetic flux Φ is defined as the "productivity" characterizing the spatial coverage scale, angular frequency ω is defined as the "rate potential" characterizing the rate of rheological movement, and induced voltage U is defined as the "difference potential" driving the directional movement of charges. After the system's underlying layer extracts the composite productivity using the "productivity method," the conversion interface directly calls the current real-time rate potential ω and the composite productivity to perform an effects multiplication operation, thus losslessly restoring the equivalent spatial rotational voltage difference potential u. _k The traditional physics relationship between voltage U and "spatial rotating potential difference" (geometric distance) is not derived from traditional physical formulas, but rather through a direct mathematical mapping using per-unit value normalization rules. This per-unit value conversion completely eliminates the absolute physical dimension of "volt (V)," making the spatial rotating potential difference a purely dimensionless geometric topological feature. This facilitates subsequent calculations of the trajectory area (S... _track ) and distortion index (D _ist It can completely eliminate the influence of frequency fluctuations and absolute amplitude, achieving unified algorithm adaptation across voltage levels and device capacities. The traditional physical voltage U and the spatial rotating voltage potential u... _k It can be converted, but it's unnecessary, so we won't go into how to do it here.

[0083] 3.4 Example 4: Physical Constraints and Benchmark Values ​​of Geometric Boundary Features in Quantization Hierarchical Calculation This invention works closely with Patent 1 (Method for Constructing an Equilateral Triangle Effects Coordinate System). Patent 1 solves the problems of intuitive graphical diagnosis and non-truncation when exceeding limits, while this patent further transforms these geometric boundary features into physical constraints and benchmarks for quantitative calculation. The two work together to exert engineering value: Quantitative upper limit constraints on the boundaries of equilateral triangles and alternating small triangles; Constructing the equivalent power characteristic quantity P in the spatial layer. _eqIn this case, the total area of ​​the equilateral triangle represents the maximum physical upper limit of the system's spatial geometric product S (the maximum apparent power boundary); the three smaller triangles (such as triangle OAB) cut by the centroid and the two vertices represent the extreme capacity of the line voltage between two phases. In quantization calculations, these boundaries serve as hard constraints, preventing the spatial product S from expanding infinitely under extreme fault conditions, thus avoiding the equivalent power characteristic P. _eq The calculation divergence ensures the numerical stability of the hierarchical transformation. The circumcircle serves as a benchmark reference: it represents the standard shape of the spatial geometrical area S under ideal, standard three-phase full-load conditions (the trajectory fits the circumcircle). The circumcircle provides a perfect benchmark reference when calculating the spatial area change rate dS / dθ. Any deviation from the circumcircle (such as flattening or eccentricity) can have its area change rate accurately captured, thus ensuring the equivalent power characteristic P constructed in the spatial layer. _eq It can accurately reflect the minute fluctuations of electromechanical coupling. The quantification of the inscribed circle and the "minimum effective work basis": The quantification of the inscribed circle area represents the "minimum effective work basis" (geometrically equal to one-quarter of the circumscribed circle area) for maintaining three-phase symmetrical spatial coupling in the system. In the spatial energy rheological characteristic accumulation W of this invention... _eq During the construction process, this characteristic is crucial: when the trajectory area (spatial geometric product S) shrinks to less than the area of ​​the inscribed circle (decision circle), it indicates that the system has lost the minimum product required to maintain spatial antagonistic equilibrium (e.g., severe undervoltage, phase loss, or motor stall). At this point, if integration continues at the time level to construct the accumulated spatial energy rheological characteristic W... _eq This will miscount invalid heat loss as valid electrical energy. The quantification of the inscribed circle area represents the minimum effective work basis for the system to maintain three-phase symmetrical spatial coupling. It provides a "quantitative cutoff" mechanism for effective power quality assessment, avoiding the calculation of invalid electrical energy (such as grid quality analysis) or defects in electrical fault handling (such as early warning of thermal runaway of new energy sources).

Claims

1. A hierarchical quantization method for physical quantities and spatial trajectories of a three-phase AC system based on an effector coordinate system, which, relying on the equilateral triangular effector coordinate system constructed by Patent 1 filed on the same day, includes a centroid O, three effect axes that differ by 120°, and a dynamic overflow mapping mechanism, and includes the following hierarchical quantization steps: S1: Spatial geometric integration: Obtain the three-phase dynamic rheological trajectory of the three-phase AC system; when the three-phase system is in a non-ideal state, the dynamic rheological trajectory is eccentric or distorted; calculate the sector area formed by the dynamic rheological trajectory and the fixed centroid O, and define the sector area as the spatial geometric integration S; S2: Effects Quantization Dimension Mapping: Based on the physical nature of the target physical quantity to be constructed, the three-phase physical quantity, the spatial geometric product S, and the system operating parameters are mapped and assigned as potential, product degree, or quantity roles in the effects quantization dimension; the potential, product degree, and quantity roles are strictly converted according to the mapping rules in different quantization levels. S3: Construction of physical quantities in the spatial layer: In the spatial analysis layer, the parameters assigned as "potential" roles are combined with the parameters assigned as "productivity" roles to construct a composite product; then the composite product is multiplied by the parameters assigned as "rate potential" roles to construct the physical quantities in the spatial layer. S4: Quantity-Potential Level Conversion: Perform cross-level role conversion, transforming the physical quantity in the spatial layer from the "quantity" role in the spatial layer to the "potential" role in the time layer; S5: Construction of Time-Layer Effect Quantity: In the time accumulation layer, the "potential" role parameters of the time layer are integrated or accumulated with the time product to construct the final time-layer effect quantity. Among them, This method also sets an optional (optional) step S6 for dynamic dual-mode conversion; under steady-state monitoring conditions, the spatial rotating differential potential method is enabled by default. When the system frequency fluctuates significantly, the trajectory eccentricity exceeds the standard, or the underlying electromagnetic parameter design is carried out, the operation mode can be switched through the preset conversion interface.

2. The method according to claim 1, characterized in that, In step S2, when the target physical quantity is a spatial equivalent power characteristic quantity, the specific mapping rule of the spatial rotational electrical differential potential method mode is as follows: the distance from the centroid O to the vertices A / B / C is defined as the maximum spatial rotational electrical differential potential, and the rate of change of the spatial geometric product S with respect to the spatial angle θ, dS / dθ, is defined as the spatial product.

3. The method according to claim 1, characterized in that, In step S2, when the target physical quantity is an instantaneous induced voltage, the specific mapping rule of the spatial rotating potential product method mode is as follows: the distance from the centroid O to the vertices A / B / C is defined as the maximum magnetic flux product, and the spatial projection coefficient is defined as the function potential.

4. The method according to claim 1, characterized in that, It also includes optional step S6—a dual-mode dynamic conversion mechanism; when the system is in steady-state monitoring, the spatial rotating differential potential method mode is used for rapid calculation; when the system enters variable frequency speed regulation or low-level parameter design, the system switches from the spatial rotating differential potential method mode to the spatial rotating differential potential product method mode through a preset switching interface, and uses the magnetic flux product parameter for conversion.

5. In step S3, the construction process of the physical quantity of the space layer strictly follows the hierarchical rule of "potential and product jointly construct quantity"; complex quantization links need to first construct composite product as an intermediate transition level, and then multiply the composite product with the rate potential to obtain the final physical quantity of the space layer.

6. In step S5, the specific process of constructing the time layer effect quantity is as follows: the spatial layer physical quantity is converted from the spatial layer "quantity" role to the time layer "effect potential"; using time t as the time field product, the effect potential and the time product are integrated to generate the time cumulative effect quantity that characterizes the objective effect of dynamic rheology.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method as described in any one of claims 1 to 6.

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