Resonance-coherence-carrying capacity system (RKT)
The RCT system addresses the limitations of classical electromagnetic modeling by using a state space model and machine learning to determine resonance, coherence, and carrying capacity, enhancing reproducibility and stability in electromagnetic systems.
Patent Information
- Application Number
- DE202026000773
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-02-19
- Publication Date
- 2026-05-28
- Estimated Expiration
- 2036-02-29
AI Technical Summary
Existing electromagnetic modeling systems primarily rely on field strength and wave propagation, failing to account for effects that do not scale proportionally and are influenced by boundary conditions, material interfaces, anisotropies, and water-rich environments, necessitating a system that models and evaluates electromagnetic states beyond classical coupling models.
A resonance-coherence-carrying capacity system (RCT system) with a detection unit, processing unit, and output unit, utilizing a state space model and machine learning to determine and evaluate resonance, coherence, and carrying capacity, transforming implicit order into stable observable effects.
Enables the technical assessment of electromagnetic effects beyond classical field strength scaling, improving reproducibility by considering marginal and transition influences, and separately determining resonance, coherence, and carrying capacity.
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Abstract
Description
1. Technical field
[0001] The application relates to a technical system for the description, analysis, and technical use of electromagnetic coupling, communication, and operational processes. In particular, the application relates to the determination and evaluation of the system parameters resonance, coherence, and carrying capacity, as well as the derivation of evaluation variables and / or process-related control signals for measurement, coupling, or communication arrangements. 2. State of the art / Initial situation
[0002] In many technical applications, electromagnetic effects are primarily described by field strength, wave propagation, and classical coupling models. In practice, however, certain configurations exhibit effects that do not scale proportionally to the field strength, or whose reproducibility depends heavily on boundary conditions, material interfaces, anisotropies, water-rich environments, or structured media. This necessitates a technical system that models such effects, evaluates them using measurement and computational methods, and makes them technically usable, without relying solely on increasing the field strength or purely interpreting waves. Task 3
[0003] The purpose of the registration is to provide a technical system that: • describes electromagnetic states as a state space that includes not only explicit field quantities but also implicit order components, • the parameters resonance, coherence and carrying capacity are determined and evaluated as distinguishable states, • derives reproducible evaluation parameters and / or process-related control signals for technical coupling, communication and measurement arrangements.
[0004] This task is solved by the system architecture of the resonance-coherence-carrying capacity system (RCT system) described below. 4. Solution according to registration
[0005] The task is solved by a resonance coherence load-bearing capacity system (RCT system) with the following technical components: • a detection unit for detecting at least one measured quantity that describes an electromagnetic state of a system under investigation (e.g. voltage / current quantities, impedance, field, spectral or time-series measured quantities), • a processing unit (e.g. computer / signal processor) coupled to a memory in which a state space model with order components is stored, • an output unit for providing at least one evaluation variable and / or a control signal.
[0006] The processing unit is set up to determine the system parameters resonance, coherence and carrying capacity from the recorded measured quantities and the state space model, and to derive from this whether and how implicit order can be transformed into a stable, observable effect or coupling.
[0007] The processing unit can be designed as hardware, firmware, software or a combination thereof; acquisition and output can be via electrical, magnetic, optical and / or other physical interfaces.
[0008] The processing unit is preferably set up to execute a trained evaluation model (machine learning) that extracts features from the acquired measurement data, evaluates model projections of the state space model, and determines the parameters resonance, coherence, and carrying capacity, as well as derived evaluation variables and / or process-related control signals.
[0009] This means that electromagnetic effects are not treated solely as a consequence of an increase in field strength or wave propagation, but as a result of a system's ability to project implicit order coherently. 5. Definitions of terms (technical-operational) 5.1 Resonance
[0010] Resonance refers to a local coupling of compatible order components within the same state space, where a coupling is detectable, but a global phase-stable coupling does not yet exist. 5.2 Coherence
[0011] Coherence refers to a phase-stable coupling of multiple order components across multiple scales. In particular, coherence enables reproducible effects, stable transfer characteristics, and robust system responses to disturbances. 5.3 Load-bearing capacity
[0012] Load-bearing capacity is a system parameter that determines whether implicit order can be transformed into a stable, observable effect.
[0013] The carrying capacity of the projection is output as an evaluation parameter and serves as the ultimate deciding criterion for achieving a stable effect. 5.4 Residual / implicit order component
[0014] The residual refers to an implicit order component of the electromagnetic state space that is not fully represented by a purely vectorial description of electromagnetic fields. 6. Relationship to Maxwell's equations
[0015] In a preferred embodiment, Maxwell's equations are considered as boundary and transition conditions for projections of the state-space model. Observable waves are understood as being part of the state-space model, without reducing the technical evaluation solely to a wave propagation assumption. 7. Determination and optimization of system parameters • Evaluation of time and frequency responses, • Analysis of transitions, stability regions, or response signatures, • Comparison of measurement data with model projections, • Iterative variation of model or operating parameters.
[0016] The determination of the parameters resonance, coherence and carrying capacity can be supported by a trained evaluation model (machine learning).
[0017] Optimization does not occur as setpoint control, but as condition-assessment-based adjustment in the sense of an autonomous internal system change. 8. Technical arrangements and environments to increase load-bearing capacity
[0018] The following can be used to increase load-bearing capacity: • structured interfaces (e.g. defined surface structures, layer systems, geometric coupling surfaces), • anisotropic media (e.g. direction-dependent conductivity or dielectric properties) • Water-rich environments or media with a high water content.
[0019] The RKT system allows the influence of such environments to be quantitatively captured via the parameters resonance / coherence / load-bearing capacity and made technically usable. 9. Uses / Fields of Application
[0020] The RKT system is particularly suitable for the analysis, design or control of arrangements where effects do not occur proportionally to field strength, e.g.: • Coupling and communication links with transmission characteristics that are highly dependent on boundary conditions, • Measurement setups with sensitive transition behavior or strongly material-dependent effects, • Systems in which reproducible effects are to be achieved by increasing coherence and carrying capacity. 10. Example of implementation (example architecture)
[0021] One example includes: 1. Sensors / Detection: The acquisition unit records one or more measured variables of a system under investigation, in particular impedance and / or transfer characteristics, response variables to a defined excitation, as well as spectral, phase and time-course measured variables. 2. Model / Processing: The processing unit reads the measurement data and performs an evaluation in which the measurement data is compared with a state-space model stored in memory. The state-space model includes explicit field quantities and at least one implicit order component (residual). 3. Parameter determination: Based on the comparison, the processing unit determines the system parameters resonance, coherence and load-bearing capacity as separate evaluation variables and / or assessment variables. 4. Output / Control: The output unit provides at least one evaluation parameter, in particular a load-bearing capacity value, a condition classification, and / or a quality measure, and / or outputs a control signal. The control signal is designed to specify or adjust operating parameters in order to achieve a desired resonance, coherence, and / or load-bearing capacity state. 5. Optional optimization: In a preferred embodiment, operating parameters are iteratively varied, with the processing unit re-determining the resulting evaluation variables and using them for optimization until a termination criterion, a target value range, or a convergence criterion is met. 11. Advantages
[0022] The RKT system enables: • a technical assessment of electromagnetic effects beyond classical field strength scaling, • a separate, operationalized determination of resonance, coherence and carrying capacity, • Improved reproducibility through condition assessment-based design, • the consideration of marginal and transition influences as well as implicit order components • The system includes functional modules, in particular: • Impulse initialization • Response recording • Evaluation • Continuation and variation module • autonomous adjustment of the system state • Process coordination • The modules are functionally defined and can be implemented independently. • The process follows the following pattern: impulse → response → evaluation → autonomous adjustment of the system state. • There is no setpoint control and no external control; continuation is based on a state assessment (RKT) through autonomous internal system change. • Fig. Figure 1 shows a block diagram of the system architecture of the MPI-KVI. • Fig. Figure 2 shows a block diagram of the processing chain for determining the RKT parameters. • Fig. Figure 3 shows a block diagram of an autonomous internal system change for the continuation of the analysis and action process (without target value specification). Note on the relationship between the characters (process-oriented):
[0023] The figures describe the same system architecture from three perspectives: Fig. 1 (module structure), Fig. 2 (process chain) and Fig. 3 (autonomous internal system change). Blocks 1-4 remain as a functional chain; depending on the process configuration, different parameterization or combinations are possible.
[0024] Block 5 provides an internal status assessment for continuation, variation or re-initialization of the impulse, without setpoint specification and without external control. • The MPI-KVI differs from classical information and control systems. In particular, it has the following characteristics: ▪ no channel-based analysis ▪ no setpoint control • Information is not treated as message content via a channel, but as a system response signature to defined impulse excitations, which is evaluated in the state space (RKT). • The system complements existing system classes without replacing them.
Claims
[1] Resonance-coherence-carrying capacity system (RKT system) for the description, analysis and technical use of electromagnetic coupling, communication and action processes, characterized by , that the system comprises a detection unit for acquiring at least one measured quantity that describes an electromagnetic state of a system under investigation, a processing unit coupled to a memory in which a state-space model with order components is stored, and an output unit for providing at least one evaluation quantity or control signal, wherein the processing unit is configured to determine the carrying capacity of the system under investigation, to coherently project an implicit order of the electromagnetic state space, and to derive an observable effect or coupling from this, without the effect being primarily derived from an increase in field strength or from wave propagation. [2] System according to claim 1, characterized by , that the state-space model includes an implicit order component that is not fully represented in a vectorial description of electromagnetic fields and is described as the residue of the electromagnetic state space. [3] System according to any one of the preceding claims, characterized by , that resonance is modeled as a local coupling of compatible order components within the same state space, without a global phase-stable coupling already existing. [4] System according to any one of the preceding claims, characterized by , that coherence is modeled as a phase-stable coupling of multiple order components across multiple scales, thereby enabling reproducible effects. [5] System according to any one of the preceding claims, characterized by, that the carrying capacity of the projection is defined as a system parameter which determines whether implicit order is transformed into a stable, observable effect. [6] System according to any one of the preceding claims, characterized by , that the processing unit takes into account boundary and transition conditions of the state-space model using Maxwell's equations, where observable waves appear as special projections of the state-space model. [7] System according to any one of the preceding claims, characterized by , that the system is set up for the analysis, design or control of coupling, communication or measurement arrangements where effects are not proportional to the field strength, and provides evaluation parameters and / or control signals for this purpose. [8] System according to any one of the preceding claims, characterized by, that resonance, coherence and load-bearing capacity are modeled and evaluated separately as distinguishable, technically usable system states. [9] Arrangement comprising a system according to claim 1 and a coupling section with at least one structured interface, an anisotropic medium and / or a water-rich environment, characterized by , that the coupling section is set up to increase the load-bearing capacity of the projection. [10] System or arrangement according to any one of the preceding claims, characterized by that the system parameters resonance, coherence and load-bearing capacity are determined by measurement, analysis or calculation operations and / or adjusted by an optimization loop. [11] System or arrangement according to any one of the preceding claims, characterized by, that the system is set up for the technical realization of information transmission, coupling or effect by selecting operating parameters and / or control signals using the specified resonance, coherence and carrying capacity values.
