Remote monitoring method and system for high-low voltage switch cabinet

Abstract

The invention relates to the technical field of large-scale power grid safety guarantee, and particularly provides a remote monitoring method and system for a high-low voltage switch cabinet, and the method comprises the steps: enabling a solid film coating to be attached to the surface of an outer insulating layer of an inner conductor of the switch cabinet; the solid film coating generates stimulated radiation and emits visible light band photons to form an initial polychromatic light signal array containing space field intensity distribution information; binding the parameters with the spatial source point coordinates of the optical signals, compiling into a structured digital document, and generating a multi-dimensional spectrum feature coding data set; outputting the encrypted data packet sequence; and the encrypted data packet sequence is sent according to a preset frame format through a remote communication interface to form a remote monitoring data stream which can be used for transmission and interpretation. The system comprises an optical signal array acquisition module, a data set generation module and a data packet output module. Electromagnetic field changes are converted into optical signals through the fluorescent coating, field intensity characteristic parameters are extracted through spectral analysis, and remote transmission is achieved after encryption processing.

Description

Technical Field

[0001] This invention relates to the field of large-scale power grid security technology, and in particular to a remote monitoring method and system for high and low voltage switchgear. Background Technology

[0002] High- and low-voltage switchgear, as key nodes in power transmission and distribution systems, undertake important functions of power distribution, line protection, and control. The stability of their operation directly affects the reliability and security of power supply in local and even the entire power grid, as well as the personal safety of maintenance personnel. Traditional technologies for monitoring and maintaining switchgear mainly rely on periodic manual inspections and local instrument readings. Maintenance personnel currently need to physically visit the site to inspect switchgear temperature, instrument readings, circuit breaker status, and abnormal sounds by sight, hearing, touch, and using portable instruments. This method is not only labor-intensive and inefficient, but also has significant drawbacks: First, it is a periodic and discrete inspection, unable to achieve continuous 24 / 7 monitoring. Faults or potential hazards occurring during inspection intervals (such as overheating of contacts or gradual deterioration of insulation performance) are difficult to detect in a timely manner, potentially leading to accidents. Second, some potential faults (such as internal partial discharge or slight temperature rise) are difficult to effectively identify through human senses. Third, for switchgear clusters that are widely distributed, in complex environments, or located in unattended stations, the accessibility and timeliness of manual inspections face significant challenges. With the development of smart grids and IoT technologies, remote monitoring has become an inevitable trend for improving the management level of power equipment. Therefore, there is an urgent need for an intelligent, real-time, comprehensive, and deeply diagnostic remote monitoring method to achieve "unmanned, panoramic, and predictive" management of the operating status of high and low voltage switchgear, shifting from "passive emergency repair" to "proactive operation and maintenance," and ensuring the safe and stable operation of the power system.

[0003] Prior art 1, Chinese Patent Application No. 202411088431.8, discloses a remote monitoring method for high- and low-voltage switchgear, including the following steps: during high-voltage conversion, real-time values ​​of various parameters are acquired and real-time parameter curves of various parameters are obtained; the stage similarity between the real-time parameter curves of various parameters and the high-voltage conversion curve is calculated; the abnormal parameter type of high-voltage conversion is determined based on the stage similarity of various parameters, and the result is output to a remote display terminal; by determining the abnormal parameter type of high-voltage conversion and the abnormal parameter type of low-voltage conversion based on the stage similarity of various parameters during high- and low-voltage conversion of the switchgear, and outputting the result to a remote display terminal. Although this method achieves the monitoring of various parameters during high- and low-voltage conversion of the switchgear, improving the operational stability and safety of the switchgear and reducing the failure rate during high- and low-voltage conversion, it relies on installing sensors on the electrical circuit to acquire point parameters such as voltage and current. This method cannot reflect the electromagnetic field strength and distribution changes of the overall space inside the switchgear, and abnormal field distribution is often a precursor to faults such as partial discharge and insulation degradation.

[0004] Prior art two, Chinese patent application number 201510175160.4, discloses a high and low voltage switchgear system based on the Internet of Things, including: a switchgear main control unit and an intelligent router unit; the intelligent router unit is used to establish a connection between all switchgear main control units in the power supply station and the client through a cloud server, and is used to build a virtual local area network; the switchgear main control unit converts periodically received power signals into power information; and performs a comprehensive judgment on the workload of the power information. Although it can remotely update and debug system files of the switchgear, as well as perform autonomous trip control, and remotely monitor and control the switchgear based on the sent power information, thereby improving the intelligence of electrical equipment and enhancing the monitoring capability and controllability of the equipment; however, the information dimension of macroscopic electrical quantities such as voltage, current amplitude or waveform similarity is limited.

[0005] Current technologies 1 and 2 have limitations in achieving non-contact, high-dimensional feature extraction and high-security remote monitoring of the electromagnetic field distribution within high- and low-voltage switchgear. Therefore, this invention provides a remote monitoring method and system for high- and low-voltage switchgear. Summary of the Invention

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In one aspect, the present invention provides a remote monitoring method for high and low voltage switchgear, comprising the following steps:

[0008] A fluorescent matrix doped with rare earth elements is combined with a polymer adhesive to prepare a solid thin film coating. The solid thin film coating is then attached to the surface of the outer insulation layer of the conductor inside the switch cabinet. When the intensity and distribution of the spatial electromagnetic field inside the high and low voltage switch cabinet change due to load variations, the rare earth ion energy levels in the solid thin film coating are disturbed by the frequency band alternating electromagnetic field, generating stimulated emission and emitting visible light photons whose wavelengths have a nonlinear relationship with the local instantaneous field strength values, forming an initial multicolor light signal array containing spatial field strength distribution information.

[0009] The optical signals are separated from the initial multicolor optical signal array; a high-resolution grating spectrometer disperses each optical signal to generate a continuous spectral curve covering a predetermined wavelength range; emission lines on each spectral curve are identified and their positions are fixed by the characteristic energy level transitions of rare earth ions, and the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission lines relative to their intrinsic wavelengths are extracted. These parameters are then bound to the spatial source coordinates of the optical signals, compiled into a structured digital document, and a multidimensional spectral feature coding dataset is generated.

[0010] The parameter sequence in the multidimensional spectral feature encoding dataset is used as the original plaintext. An initial key generated using a unique identifier of the high and low voltage switchgear is used for the first obfuscation permutation. The numerical sequence of the half-width at half-maximum of the extracted spectral lines is used as a dynamic perturbation factor to nonlinearly scramble the arrangement rules of the permuted parameter sequence, and an encrypted data packet sequence is output. The encrypted data packet sequence is sent through the remote communication interface in a predetermined frame format to form a remote monitoring data stream that can be used for transmission and decoding.

[0011] In another aspect, the present invention provides a remote monitoring system for high and low voltage switchgear, for implementing the aforementioned remote monitoring method for high and low voltage switchgear, comprising:

[0012] The optical signal array acquisition module is responsible for combining a fluorescent matrix doped with rare earth elements with a polymer adhesive to prepare a solid thin film coating; attaching the solid thin film coating to the surface of the outer insulation layer of the conductor inside the switch cabinet; when the intensity and distribution of the spatial electromagnetic field inside the high and low voltage switch cabinet change due to load variations, the rare earth ion energy levels in the solid thin film coating are disturbed by the frequency band alternating electromagnetic field, generating stimulated emission and emitting visible light photons whose wavelength has a nonlinear relationship with the local instantaneous field strength value, forming an initial multicolor optical signal array containing spatial field strength distribution information;

[0013] The dataset generation module is responsible for separating the optical signals from the initial multicolor optical signal array; the high-resolution grating spectrometer disperses each optical signal to generate a continuous spectral curve covering a predetermined wavelength range; it identifies the emission lines on each spectral curve that are determined by the characteristic energy level transitions of rare earth ions and whose positions are fixed, and extracts the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission lines relative to their intrinsic wavelengths. The parameters are then bound to the spatial source coordinates of the optical signals, compiled into a structured digital document, and a multidimensional spectral feature coding dataset is generated.

[0014] The data packet output module is responsible for taking the parameter sequence in the multidimensional spectral feature encoding dataset as the original plaintext and performing the first obfuscation permutation using an initial key generated with the unique identifier of the high and low voltage switchgear. It then uses the numerical sequence of the extracted spectral line half-width as a dynamic perturbation factor to nonlinearly scramble the arrangement rules of the permuted parameter sequence and outputs an encrypted data packet sequence. The encrypted data packet sequence is sent via the remote communication interface in a predetermined frame format to form a remote monitoring data stream that can be used for transmission and decoding.

[0015] This invention converts electromagnetic field changes into optical signals using a fluorescent coating, extracts field strength characteristic parameters using spectral analysis, and then achieves remote transmission after encryption. It transforms the invisible spatial electromagnetic field distribution into a measurable optical signal, establishing a nonlinear mapping relationship between field strength and light wavelength through stimulated emission of rare-earth ions. Spectral analysis techniques are used to decouple spectral line shifts, full width at half maximum (FWHM), and intensity parameters related to field strength from multicolor light signals, achieving multi-dimensional quantitative characterization of electromagnetic field strength and distribution. The monitoring data is encrypted and obfuscated using equipment identification and dynamic spectral parameters to ensure data integrity and anti-interference capabilities during transmission. Finally, a structured, remotely decipherable encrypted data stream is formed, providing a real-time, high spatial resolution monitoring method for the electromagnetic status of high and low voltage switchgear. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0017] Figure 1 This is a flowchart of the remote monitoring method for high and low voltage switchgear provided in Embodiment 1 of the present invention;

[0018] Figure 2 This is a schematic diagram of the remote monitoring method for high and low voltage switchgear provided in Embodiment 1 of the present invention;

[0019] Figure 3 This is a process diagram of forming an initial multicolor light signal array containing spatial field intensity distribution information, as provided in Embodiment 2 of the present invention;

[0020] Figure 4 This is a process diagram of extracting the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission spectral line relative to its intrinsic wavelength, as provided in Embodiment 5 of the present invention.

[0021] Figure 5 This is a process diagram of the output encrypted data packet sequence provided in Embodiment 9 of the present invention;

[0022] Figure 6 This is a block diagram of the remote monitoring system for high and low voltage switchgear provided in Embodiment 15 of the present invention;

[0023] Figure 7 A block diagram of the electronic device provided by the present invention;

[0024] Figure 8 A block diagram of a computer-readable storage medium provided for this invention. Detailed Implementation

[0025] The technical solutions of the present invention will now be described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0026] Hereinafter, 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 indicated technical features. Thus, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0027] In this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or an integral part; or, "connection" can be a direct connection or an indirect connection through an intermediate medium. Furthermore, unless otherwise explicitly specified and limited, the term "coupling" should be interpreted broadly. For example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components; it can also be understood as an electrical connection between different components in a circuit structure through physical lines capable of transmitting electrical signals, such as copper foil or wires on a printed circuit board (PCB), 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 a non-contact manner, such as an electrical connection between two components using capacitive coupling to transmit electrical signals.

[0028] In this embodiment of the invention, directional terms such as "up," "down," "left," and "right" may be defined relative to the orientation of the components shown in the accompanying drawings. It should be understood that these directional terms can be relative concepts, used for relative description and clarification, and can change accordingly depending on the orientation of the components in the accompanying drawings.

[0029] Example 1: As Figure 1 As shown, this embodiment of the invention provides a remote monitoring method for high and low voltage switchgear, comprising the following steps:

[0030] Step S100: A fluorescent matrix doped with rare earth elements is combined with a polymer adhesive to prepare a solid thin film coating; the solid thin film coating is attached to the surface of the outer insulation layer of the conductor inside the switch cabinet; when the intensity and distribution of the spatial electromagnetic field inside the high and low voltage switch cabinet change due to load changes, the rare earth ion energy levels in the solid thin film coating are disturbed by the frequency band alternating electromagnetic field, generating stimulated emission and emitting visible light photons whose wavelength and local instantaneous field strength value have a nonlinear relationship, forming an initial multicolor light signal array containing spatial field strength distribution information;

[0031] In this process, rare earth element ions are dissolved in an organic precursor solution in a specific ratio to form an active sol. Then, the active sol is mixed with a predetermined type of polymer binder monomer, and monomer polymerization is initiated under catalytic conditions. During polymerization, the rare earth element ions are in situ encapsulated within the formed polymer network framework, ultimately solidifying to obtain a solid composite film. The rare earth element ion concentration is defined as the mass percentage or molar concentration of rare earth ions (such as Eu³⁺ or Tb³⁺) in the final solid composite film, ranging from 0.1 wt% to 5.0 wt% (mass percentage). The mass ratio of active sol to polymer monomer is 1:9 to 3:7 (sol:monomer). The polymerization and curing temperature and time are: temperature: 50°C to 80°C; time: 2 hours to 8 hours; final film thickness: 10 μm to 100 μm.

[0032] Step S200: The optical signal is separated from the initial multicolor optical signal array; the high-resolution grating spectrometer disperses each optical signal to generate a continuous spectral curve covering a predetermined wavelength range; the emission spectral line on each spectral curve is identified and its position is fixed by the characteristic energy level transition of rare earth ions, and the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission spectral line relative to its intrinsic wavelength are extracted, the parameters are bound to the spatial source coordinates of the optical signal, compiled into a structured digital document, and a multidimensional spectral feature coding dataset is generated;

[0033] Step S300: The parameter sequence in the multidimensional spectral feature encoding dataset is used as the original plaintext. An initial key generated using a unique identifier of the high and low voltage switchgear is used for the first obfuscation permutation. The numerical sequence of the half-width at half-maximum of the extracted spectral lines is used as a dynamic perturbation factor to nonlinearly scramble the arrangement rules of the permuted parameter sequence, and an encrypted data packet sequence is output. The encrypted data packet sequence is sent through the remote communication interface in a predetermined frame format to form a remote monitoring data stream that can be used for transmission and decoding.

[0034] The specific principle in the above embodiments is as follows: Figure 2 As shown, this embodiment converts electromagnetic field changes into optical signals through a fluorescent coating, extracts field strength characteristic parameters using spectral analysis, and then achieves remote transmission after encryption. It transforms the invisible spatial electromagnetic field distribution into measurable optical signals, establishing a nonlinear mapping relationship between field strength and light wavelength through stimulated emission of rare-earth ions. Spectral analysis technology is used to decouple spectral line shifts, full width at half maximum (FWHM), and intensity parameters related to field strength from multicolor light signals, achieving multi-dimensional quantitative characterization of electromagnetic field strength and distribution. The monitoring data is encrypted and obfuscated using equipment identification and dynamic spectral parameters to ensure data integrity and anti-interference capabilities during transmission. Finally, a structured, remotely decipherable encrypted data stream is formed, providing a real-time, high spatial resolution monitoring method for the electromagnetic status of high and low voltage switchgear.

[0035] Example 2: Figure 2 As shown, based on Embodiment 1, the process of forming an initial multicolor light signal array containing spatial field intensity distribution information in step S100 of this embodiment of the invention specifically includes the following steps:

[0036] Step S101: The alternating electromagnetic field around the conductor inside the high and low voltage switch cabinet generates Lorentz force perturbation on the rare earth ions in the ground state in the solid thin film coating; the Lorentz force perturbation originates from the periodic distortion of the distribution of the outer electron cloud of the ions by the alternating electromagnetic field, causing some rare earth ions to gain energy to jump to the metastable excited state, forming a group distribution of excited ions.

[0037] Step S102: The metastable excited state rare earth ions undergo nonradiative relaxation to the lower energy level, and then transition downward through stimulated emission. The photon wavelength of stimulated emission is determined by the local lattice field strength of the ions in the solidified polymer network. The local lattice field strength is coupled with the external electromagnetic field strength, generating a discrete monochromatic photon stream carrying local instantaneous field strength information.

[0038] Step S103: The discrete monochromatic photon streams generated synchronously by the solid thin film coatings at different spatial locations within the high and low voltage switchgear are captured and conducted by pre-laid optical fiber bundles. The input end of each optical fiber corresponds to a specific spatial source point coordinate, and its output end outputs the monochromatic light signals it carries in parallel and arranges them in space, converging to form an initial multicolor light signal array with spatial position encoding.

[0039] In the above embodiments, this embodiment utilizes the periodic distortion effect of an alternating electromagnetic field on the outer electron cloud of rare-earth ions, enabling the ions to gain energy and transition to a metastable excited state. A direct physical mechanism is established for the conversion of external electromagnetic field energy into the stimulated ion population density within the solid film coating, ensuring that the energy source for optical signal generation is related to the field strength change. Secondly, by utilizing the coupling relationship between the local lattice field strength of rare-earth ions in the solidified polymer network and the external electromagnetic field, the wavelength of photons generated by stimulated emission is determined by the local instantaneous field strength. The abstract electromagnetic field strength information at a certain point in space is encoded into a specific optical signal with a defined wavelength attribute, realizing the physical conversion of field strength information into optical wavelength information. Finally, by capturing, conducting, and outputting monochromatic photon streams generated at different spatial locations in parallel using pre-laid optical fiber bundles with fixed coordinates, independent acquisition and spatial location locking of optical signals at discrete spatial points are achieved. The field strength information distributed in three-dimensional space is mapped into a two-dimensional optical signal array with a clear spatial coordinate encoding, completing the conversion and organization of spatial field strength distribution information into a structured optical signal array.

[0040] In summary, this embodiment realizes the transformation of the continuously distributed and invisible spatial electromagnetic field inside the high and low voltage switchgear into a discrete, visible initial multicolor light signal array, in which each pixel carries its spatial coordinates and the local field strength information of the corresponding point; providing a physical carrier containing the original spatial distribution and intensity information for spectral analysis and feature extraction.

[0041] Example 3: Based on Example 2, the process of synchronously generating discrete monochromatic photon flows of solid-state thin film coatings at different spatial locations within the high- and low-voltage switchgear in step S103 of this embodiment of the invention specifically includes the following steps:

[0042] Step S1031: Obtain the three-dimensional geometric dimensions and material dielectric constant of each component to be monitored in the high and low voltage switchgear; use computational electromagnetics to solve Maxwell's equations under rated load conditions to calculate the steady-state electromagnetic field intensity vector at discrete grid points on the surface of each component to be monitored; record the magnitude and direction of the steady-state electromagnetic field intensity vector, along with its corresponding three-dimensional spatial coordinates, as a structured data set, which constitutes the field strength reference spectrum;

[0043] Step S1032: For each steady-state electromagnetic field strength data point in the field strength reference spectrum, match a rare earth ion doping combination determined in advance through experiments according to the preset intensity range to which the field strength value belongs. Each combination includes the main active rare earth ion and the co-doped ions used to adjust the energy level width and their molar percentages; perform the matching operation for all data points in the field strength reference spectrum to generate a list containing specific doping composition instructions. The list is the spatial doping recipe mapping.

[0044] Step S1033: According to the spatial doping formula mapping, physical vapor deposition is used to sequentially deposit rare earth-doped fluorescent films of specified composition and thickness on the surface areas of the components identified by the corresponding spatial coordinates; when the load change during operation in the high and low voltage switch cabinet causes the local electromagnetic field strength to deviate from its rated reference value, the deviation changes the intensity of the coordination field acting on the rare earth ions of the coating in the corresponding area, causing a deterministic drift of the center wavelength of the stimulated emission photons; the solid film coatings in all areas synchronously generate this wavelength drift effect according to their customized formula, outputting a set of monochromatic photons with discrete wavelengths, each representing the real-time field strength of its attachment point, forming a discrete monochromatic photon stream.

[0045] In the above embodiments, this embodiment transforms traditional single-point or limited-point electromagnetic measurement into a field strength monitoring paradigm based on the concept of materials genome, which is globally distributed and directly encoded by optical wavelength. Through the spatial customization of front-end materials, the encoding of spatial location and physical quantity information is completed at the source of signal generation, enabling the back-end signal acquisition and processing system to reconstruct a real-time dynamic image of the electromagnetic field distribution in the three-dimensional space inside the entire high and low voltage switchgear in a parallel, efficient, and interference-resistant manner.

[0046] Example 4: Based on Example 3, the process of calculating the steady-state electromagnetic field intensity vector at discrete grid points on the surface of each component to be monitored in step S1031 of this embodiment of the invention specifically includes the following steps:

[0047] Step S10311: Based on the obtained three-dimensional geometric dimensions and material dielectric constant of the component to be monitored, construct a digital model of its continuous geometric surface; drawing on the principle of unstructured mesh generation in computational structural mechanics, generate triangular facet units adaptively according to the local curvature of the surface, and use high-density subdivision for areas with large curvature to form a discrete geometric mesh covering the entire surface of the component, thus transforming the continuous geometric surface digital model into an unstructured surface mesh dataset;

[0048] Step S10312: Assign the dielectric constant property of the material at the corresponding location to each triangular facet element in the unstructured surface mesh dataset; referencing the boundary condition setting method in thermal conduction analysis, convert the rated load condition into a constant potential and current density constraint applied to a specific edge or vertex of the mesh, and generate a surface boundary element model carrying material properties and load boundary conditions.

[0049] Step S10313: Input the surface boundary element model into an integral equation solver based on potential theory; the integral equation solver uses high-order basis functions derived from acoustic scattering calculations to expand the unknown surface current distribution on each triangular facet element, establishes a linear equation system through Galerkin testing, solves for the equivalent current source intensity at the center point of each triangular facet element, and then calculates the steady-state electromagnetic field intensity vector at all mesh vertices according to the integral form of the Biot-Savart law, finally outputting a set of steady-state electromagnetic field intensity vector distributions indexed by vertex coordinates.

[0050] Among them, the electric field integral equation is: for the surface of an ideal conductor (Approximately true under quasi-static or low-frequency conditions) Under external excitation, an unknown current distribution will be induced on its surface. Based on the boundary conditions, the total tangential electric field at the conductor surface is zero. Therefore, the derived integral equation for the electric field is:

[0051]

[0052] in: It is the position vector of the observation point (field point); It is the position vector of the source point (current distribution point); It is the surface current density vector to be determined; It is the incident electric field (generated by rated load conditions); It is a free-space Green's function. It refers to the wave number; under low frequency or quasi-static approximation (applicable to power frequency in switchgear). Green's function simplifies to ; It is an arbitrary tangential unit vector on the surface of the conductor; and These are the vacuum permeability and the dielectric constant, respectively. It is the angular frequency; the first term on the left side of the equation represents the electric field contributed by the vector potential, and the second term represents the electric field contributed by the scalar potential (charge accumulation); the equation shows that the scattered field generated by the induced current cancels out the incident field in the tangential direction.

[0053] Calculation process breakdown:

[0054] 1. Discretization and basis function expansion (higher-order basis functions) to transform the surface... Discretized Each triangular facet cell (from an unstructured mesh) has a surface current. Using a set of higher-order vector basis functions Expand:

[0055]

[0056] It is the first The unknown expansion coefficients of each basis function (related to the equivalent current source strength). It represents the total number of basis functions; higher-order basis functions are terms such as higher-order generalizations of RWG basis functions, or basis functions based on polynomial interpolation; they allow multiple basis functions to describe complex current variations on a single large triangular facet element, thereby reducing the number of elements required while maintaining accuracy; basis functions are usually defined on the edges or faces of the element and ensure the normal continuity of the current.

[0057] The Galerkin test establishes a system of linear equations, testing the electric field integral equations in the same function space as the expanded basis functions; for each test basis function... , ; Perform an inner product (integrate) with both sides of the equation within the domain:

[0058]

[0059] in It is a test basis function The supporting region; by changing the order of integration and summation, we obtain a system of linear equations:

[0060]

[0061] In the formula, These are elements of the impedance matrix, and their calculation expression is:

[0062]

[0063] In the formula, These are the elements of the activation vector, and their calculation expression is:

[0064]

[0065] In the formula, It is derived from the applied constant potential and current density boundary conditions;

[0066] Solve for the current coefficients and calculate the current at the center point of the element, then solve the above dense linear equation system. To obtain the vector of unknown coefficients Then, for each triangular facet unit... its geometric center point Substituting into the basis function expansion, the approximate surface current density at that point can be obtained:

[0067]

[0068] That is, the vector form of the equivalent current source intensity at the center point of each triangular facet unit.

[0069] Calculate the vertex electric field strength using the Biot-Savart law for any vertex in the grid. The steady-state magnetic field strength vector at that location The summation of contributions from all surface current elements is calculated using the integral form of the Biot-Savart law under quasi-static conditions:

[0070]

[0071] Substituting the discretized current expression into:

[0072]

[0073] Under quasi-static conditions, the electric field intensity vector With magnetic field strength It is related through the constitutive relations of the medium, or more directly, through the relationship between current and charge (from... The scalar and vector bits generated by the calculation are used to perform gradient operations; the final output is the steady-state electromagnetic field strength vector, which refers to the electric field strength or magnetic field strength, depending on the monitoring requirements; at each vertex of the grid value at This forms a distribution set indexed by vertex coordinates. A series of mathematical operations transform the complex continuous electromagnetic field boundary value problem into a discrete linear algebra problem that can be solved by a computer, thereby efficiently and accurately predicting the steady-state electromagnetic field distribution on the surface of components.

[0074] In the above embodiments, this embodiment forms a specialized numerical process for calculating the surface electric field of irregularly shaped conductors in switchgear. Through adaptive geometric discretization, accurate physical property and boundary condition loading, and a memory-efficient and high-precision integral equation solver, reliable and rapid numerical prediction of the surface electromagnetic field distribution of complex engineering structures under real load conditions is achieved. This provides a key data foundation for generating high-confidence field strength reference maps and is a prerequisite for the implementation of the entire spatial coding monitoring method.

[0075] Example 5: Figure 4As shown, based on Example 1, the process of extracting the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission spectral line relative to its intrinsic wavelength in step S200 of this embodiment of the invention specifically includes the following steps:

[0076] Step S201: Perform point-by-point multiplication and accumulation operations on the continuous spectrum curve and the standard template within a preset wavelength sliding window, i.e., calculate the cross-correlation function; record the wavelength shift corresponding to the global maximum value of the cross-correlation function, the wavelength shift is defined as the center wavelength offset of the emission spectrum, and output the offset data set;

[0077] Step S202: Using the offset data set, perform wavelength axis translation on the continuous spectrum curve to roughly align each continuous spectrum line with its nominal center wavelength; for each calibrated isolated continuous spectrum line, use the gradient descent method to iteratively adjust the mixing ratio, center position, and width parameters of the basis function to ensure that the root mean square error between the synthesized continuous spectrum curve and the measured spectrum data points is below a set threshold; from the converged fitting parameters, extract the full width value of the synthesized spectrum line at half its maximum intensity, denoted as the half-width at half-maximum (WHM), and output the WHM data set;

[0078] Step S203: Using each half-width value in the half-width at half-maximum (HWHM) dataset as a reference, extend the HWHM by k times to the left and right of the center wavelength of the spectral line to define the temporary integration boundary of the spectral line; within the temporary integration boundary, perform trapezoidal rule numerical integration on the spectral intensity data after calibration and fitting preprocessing; when the integral value reaches the predetermined threshold calculated by multiplying the peak intensity of the spectral line by the HWHM, the integration is considered complete, the integration result is recorded as the integration intensity parameter, and the integration intensity dataset is output.

[0079] In the above embodiments, the process of extracting emission spectral line offsets, full width at half maximum (FWHM), and integral intensity parameters achieves a systematic processing of spectral data from coarse alignment to fine fitting and then to quantification of physical parameters through the synergistic effect of various technical features. Specific technical effects are reflected in the following aspects: First, by calculating the cross-correlation between the continuous spectral curve and the standard template within a sliding window, the overall wavelength drift of the spectral lines can be stably identified, and a systematic set of offsets can be output; a unified wavelength reference is established, effectively eliminating spectral line position deviations introduced by instrument drift or sample displacement, ensuring the comparability of data under different measurement conditions. Second, the wavelength axis is shifted using the offsets, achieving preliminary alignment of the spectral lines. Based on this, the gradient descent method is used to fit the basis function to each spectral line, adaptively adjusting its shape parameters to accurately separate overlapping spectral lines or correct distortions caused by background interference; the FWHM set extracted after fitting convergence not only reflects the broadening mechanism of the spectral lines themselves but also provides an objective basis for determining the integration range. Finally, by dynamically defining the temporary integration boundary based on the full width at half maximum (FWHM), and then performing numerical integration on the calibrated and fitted spectral intensities using the trapezoidal rule, the energy distribution of the spectral lines can be fully captured while controlling the influence of noise. The integration stop threshold is set by multiplying the peak intensity by the FWHM, which avoids underestimation of intensity or background mixing caused by an integration range that is too wide or too narrow. This ensures that the integrated intensity parameter represents the radiative energy of the spectral line itself, and improves the accuracy and repeatability of parameter extraction.

[0080] In summary, this embodiment combines cross-correlation coarse calibration, nonlinear fine fitting, and adaptive numerical integration to form a complete technical chain from spectral preprocessing to parameter extraction. While ensuring processing efficiency, it significantly improves the extraction accuracy and robustness of key parameters such as emission spectral line center position, broadening characteristics, and radiation intensity, providing a reliable data foundation for subsequent spectral analysis, material identification, or physical state inversion.

[0081] Example 6: Based on Example 5, the process of performing point-by-point multiplication and accumulation operations on the continuous spectral curve and the standard template within a preset wavelength sliding window in step S201 of this embodiment of the invention specifically includes the following steps:

[0082] Step S2011: Slide the continuous spectral curve generated by the high-resolution grating spectrometer along the wavelength axis with a preset window length and step size, and each slide extracts a spectral intensity data segment within a fixed wavelength range; convert the continuous wavelength-intensity relationship into data segments that partially overlap in the wavelength dimension to generate a set of discrete spectral data segments.

[0083] Step S2012: For each data segment in the discrete spectral data segment set, multiply the intensity value at each wavelength sampling point with the intensity value at the corresponding sampling point in the preset standard template one by one; sum the product results of all sampling points in the data segment to obtain a scalar value; each scalar value represents the shape similarity between the data segment and the standard template in relative position, generating the original cross-correlation scalar sequence;

[0084] Step S2013: Divide each value in the original cross-correlation scalar sequence by the square root of the product of the energy of its corresponding data segment and the standard template to complete the normalization process, and obtain the normalized cross-correlation coefficient sequence; in the normalized cross-correlation coefficient sequence, retrieve the data segment index number corresponding to its global maximum value; convert the product of the data segment index number and the sliding window step size into the wavelength axis shift, which is determined as the center wavelength shift of the emission spectrum; the peak retrieval and conversion process constitutes the final conversion from the cross-correlation sequence to the physical shift, and outputs the shift data set.

[0085] In the above embodiments, this embodiment constructs a complete cross-correlation shift detection process by using sliding window segmentation, point-by-point multiplication and inner product calculation, energy normalization, and the cascaded peak retrieval and physical quantity conversion. It can stably and accurately identify the systematic shift of emission lines relative to their intrinsic wavelengths in spectral data containing noise, background fluctuations, or intensity variations. The output set of shifts provides a crucial calibration benchmark for spectral line alignment and parameter extraction.

[0086] Example 7: Based on Example 5, the process of iteratively adjusting the mixing ratio, center position, and width parameters of the basis function using the gradient descent method in step S202 of this embodiment of the invention specifically includes the following steps:

[0087] Step S2021: Using the specific offset values ​​of continuous spectral lines in the offset dataset, synchronously shift the preset center positions of the two basis functions, Lorentz and Gaussian line types, as the initial center positions; the initial value of the full width at half maximum (FWHM) of the spectral line is set to the nominal FWHM of the corresponding spectral line in the standard template. The initial value of the mixing ratio is allocated according to the sharpness of the spectral line in the original spectrum through a sharpness lookup table. Spectral lines with higher sharpness are given a higher initial weight for the Lorentz line type, generating a parameter initialization vector containing the mixing ratio, center position, and initial width values.

[0088] Step S2022: Iteratively optimize the parameter initialization vector. In each iteration, use the current parameter initialization vector to synthesize a model spectral line and calculate the root mean square error between the model spectral line and the measured spectral line data points after wavelength calibration. By fine-tuning each parameter in the parameter initialization vector, such as the mixing ratio, center position, and width, observe the direction and magnitude of the change in the root mean square error to determine the local gradient direction of the current root mean square error surface for each parameter. Based on the local gradient direction, adjust all parameter values ​​in the parameter initialization vector in reverse to generate a set of updated parameter vectors, complete one iteration, and output the intermediate parameter vector set.

[0089] Step S2023: Repeat the iterative update process for the parameter vectors in the intermediate parameter vector set; after each iteration, calculate the new root mean square error and compare the root mean square error value with the preset convergence threshold; when the change in the root mean square error value generated by N consecutive iterations is less than the convergence threshold, the optimization process is determined to be converged and the iteration is terminated; take the parameter vector that satisfies the convergence condition in the last iteration as the final optimal fitting parameter set, and output the fitting parameter set containing the final mixing ratio, center position and width value.

[0090] In the above embodiments, this embodiment employs the gradient descent method to iteratively adjust the mixing ratio, center position, and width parameters of the basis functions. The combined technical features achieve the following effects: By synchronously shifting the preset center positions of the Lorentz and Gaussian line shapes according to offset data, and using the nominal half-width and height in the standard template as the initial width value, combined with the initial mixing ratio value allocated based on spectral sharpness, a parameter initialization vector is constructed. This effectively reduces the dimensionality of the parameter search space, improves the quality of the optimization starting point, and avoids local optima or slow convergence problems caused by improper initial value settings. During iterative optimization, by synthesizing model spectral lines and calculating their root mean square error compared to measured spectral line data, combined with fine-tuning of each parameter to determine the local gradient direction, efficient directional adjustment of the spectral line shape parameters is achieved. Updating the parameter vector in reverse according to the gradient direction ensures that each iteration progresses along the error descent direction, thereby gradually approaching the optimal parameter combination. By repeatedly executing iterative updates and monitoring the change in root mean square error, optimization is terminated when the error change in multiple consecutive iterations falls below a preset convergence threshold, ensuring the stability and reliability of the parameter adjustment process. The final set of fitting parameters accurately reflects the mixing ratio, center position, and width characteristics of the measured spectral lines, achieving high-fidelity modeling of complex spectral line shapes and providing an accurate and repeatable parameter basis for subsequent spectral analysis.

[0091] Example 8: Based on Example 5, the process of performing the trapezoidal rule numerical integration in step S203 of this embodiment of the invention specifically includes the following steps:

[0092] Step S2031: Using the full width at half maximum (FWHM) value of the spectral line in the FWHM dataset as a reference, obtain the total number of sampling points required within the temporary integration boundary. The total number of sampling points is proportional to the reciprocal of the FWHM. Based on the total number of sampling points, determine a series of wavelength positions at equal intervals within the temporary integration boundary, and extract the intensity values ​​corresponding to the positions from the calibrated and fitted spectral data to generate an ordered intensity-wavelength sampling point sequence.

[0093] Step S2032: Take the ordered intensity-wavelength sampling point sequence and form a data pair by combining every two adjacent sampling points in sequence; for each data pair, calculate the wavelength difference between the two sampling points and the arithmetic mean of the intensity values ​​of the two sampling points; multiply the calculated wavelength difference by the arithmetic mean to obtain an area value; sequentially accumulate the calculated area values ​​of all adjacent data pairs within the temporary integration boundary to generate an accumulated area value;

[0094] Step S2033: Compare the accumulated area value with the product of the spectral peak intensity and the full width at half maximum (FWHM), and use the product as a preset energy threshold; when the accumulated area value first reaches or exceeds the energy threshold, terminate the accumulation process; use the accumulated area value as the final integration result and output the integrated intensity parameter.

[0095] In the above embodiments, this embodiment achieves accurate calculation and adaptive boundary determination of spectral line integral intensity through a combination of the following technical features: First, the sampling point density is dynamically set based on the half-width at half-maximum (HWHM) data to ensure that a sampling resolution inversely proportional to the spectral line width is obtained in the core region of the spectral line, thereby capturing key details of the spectral line morphology while maintaining computational efficiency. Second, a segmented accumulation method is adopted to transform the intensity-wavelength sequence composed of continuous sampling points into a micro-area and accumulate it sequentially, realizing discretized numerical integration of the area under the spectral line contour, avoiding the errors that may occur at steep spectral line edges in traditional fixed-step integration methods. Finally, by comparing the accumulated area with the energy threshold composed of peak intensity and HWHM in real time, the integration process can automatically terminate when a predetermined energy ratio is reached, thereby dynamically determining the integration boundary. This embodiment effectively suppresses the influence of noise interference and background signals, ensuring that the integration result reflects the energy distribution in the core region of the spectral line, improving the resolution capability for weak signals and overlapping spectral lines; and achieving adaptive optimization of the spectral data integration range and robust estimation of the integral intensity.

[0096] Example 9: As Figure 5 As shown, based on Embodiment 1, the process of outputting the encrypted data packet sequence in step S300 of this embodiment of the invention specifically includes the following steps:

[0097] Step S301: Using each value in the half-width numeric sequence as the initial value for iteration, perform a fixed number of recursive calculations. After normalization, the result of each recursion is mapped to an integer index value to generate a dynamic index sequence.

[0098] Step S302: Based on each index value in the dynamic index, select the element at the corresponding position from the parameter sequence. If the index value exceeds the range of the parameter sequence, find the next available position; select in sequence to form a new rearranged parameter sequence.

[0099] Step S303: Divide the rearranged parameter sequence into segments of a preset fixed length. For each data segment, calculate the XOR operation result of all its elements. The XOR operation result serves as the integrity check code of the data segment. Append the integrity check code to the end of the data segment and add a sequence number generated from the half-width sequence part value to the beginning, together forming a complete data packet. Output all data packets in sequence to form an encrypted data packet sequence.

[0100] In the above embodiments, this embodiment achieves unpredictable index generation based on initial parameters by recursively calculating and mapping a half-width numerical sequence as the initial value to a dynamic index sequence. This enhances the randomness and dynamism of the data mapping process and avoids pattern exposure caused by relying on fixed rules. Elements are selected from the parameter sequence based on the dynamic index to generate a rearranged parameter sequence, making the parameter arrangement dynamically associated with the initial data. Even if the parameter sequence is public, it is impossible to directly infer the correspondence between the original data and the parameters, thus strengthening the data obfuscation effect. By calculating XOR checksums segment by segment and appending them to the end of the data segment, a lightweight integrity verification mechanism is provided for each data segment, capable of detecting local tampering or errors during data transmission or processing. A sequence number based on the half-width is added to the header of the data segment and combined with the checksum to encapsulate it into a complete data packet. This gives the data packet the functions of identity identification, content verification, and structured organization, improving the overall anti-tampering capability, anti-analysis capability, and traceability of the data sequence, while maintaining the independence of segments and processing efficiency.

[0101] Example 10: Based on Example 9, the process of using the XOR operation result as the integrity check code of the data segment in step S303 of this embodiment of the invention specifically includes the following steps:

[0102] Step S3031: Perform a bitwise logical AND operation on the element sequence in the data segment and a pre-cut segment of equal length numerical sequence from the half-width-half-height numerical sequence; if each bit of the result is 1, it is recorded as a logical true value; if it is 0, it is recorded as a logical false value; arrange a series of true or false values ​​in order to form an initial logical state vector.

[0103] Step S3032: Convert the index value corresponding to the data segment position in the dynamic index sequence into a fixed-length binary pattern; the binary pattern serves as the control sequence and interacts cyclically with the initial logic state vector. Each binary bit of the control sequence is read sequentially. If the binary bit is 1, perform a logical XOR operation on the corresponding position and the next logical bit in the logic state vector, and replace the original value with the result; if the binary bit is 0, retain the original value; after traversing the control sequence, generate the updated logic state vector.

[0104] Step S3033: Divide the updated logic state vector into groups of four logic values. For each group, look up a two-digit hexadecimal number from a preset nonlinear mapping table according to the truth value combination pattern. Concatenate all the hexadecimal numbers obtained from the lookup tables in order, and then perform a modulo operation with a fixed offset derived from a half-width sequence. The result is converted into an eight-digit hexadecimal string, which serves as the integrity check code.

[0105] In the above embodiments, the integrity check code generation process of this embodiment has the characteristics of multiple obfuscation, dynamic evolution and nonlinear mapping, which makes the check code not only reflect the integrity of the data segment content, but also highly dependent on the data arrangement, sequence position and system parameters, thereby enhancing the anti-forgery and anti-analysis capabilities while ensuring lightweight verification function.

[0106] Based on Example 10, Example 11 provides a step S3032 in this embodiment of the invention, which involves a cyclical interaction with the initial logic state vector, specifically including the following steps:

[0107] Step S30321: Repeat the last sequence of the binary pattern or truncate its first sequence to generate a new binary sequence with the same length as the logic state vector, forming an alignment control sequence;

[0108] Step S30322: Starting from the least significant bit, read each binary bit value of the alignment control sequence sequentially; when the read binary bit value is logic 1, write the logic value of the current corresponding position and the next position in the logic state vector, as well as a fixed mask value derived from the half-width sequence; write the logic value back to the current position of the logic state vector; when the read bit value is logic 0, the logic value of the corresponding position in the logic state vector remains unchanged; after completing the traversal of the entire alignment control sequence, generate the intermediate state vector;

[0109] Step S30323: Check all logical value positions that have been modified due to the triggering of the disturbance operation. If the index of the next adjacent position exceeds the length range of the logical state vector, the wraparound addressing method derived from the circular buffer management is adopted, and the starting position of the logical state vector is taken as its next logical position. The logic gate operation is reapplied to the boundary position, using the same fixed mask value, and the original value of the corresponding position in the intermediate state vector is replaced with the new operation result. Finally, the updated logical state vector is output.

[0110] In the above embodiments, this embodiment generates an alignment control sequence by repeating or truncating a binary pattern sequence, ensuring that the control sequence has the same length as the logic state vector, thus providing an alignment basis for bit-by-bit operations. Based on the bit values ​​of the alignment control sequence, logical operations are performed on specific positions and their adjacent positions in the logic state vector. Simultaneously, a fixed mask value derived from the half-width-height sequence is introduced into the calculation to conditionally modify the logical values ​​in the vector, thereby generating an intermediate state vector during traversal. To address the potential inconsistency in processing due to index out-of-bounds errors at boundary positions, a wraparound addressing method managed by a circular buffer is adopted, treating the starting position of the vector as a logically adjacent position to the boundary position, ensuring that all positions have a logically continuous and consistent adjacency relationship. Based on this, logic gate operations are reapplied to the boundary positions, and the corresponding values ​​in the intermediate state vector are updated using the same fixed mask value, ensuring the integrity of the overall vector operation at the boundary.

[0111] In summary, this embodiment completes the cyclic interactive update of the logic state vector, ensuring that each position in the vector is correctly processed under the control sequence, while maintaining the consistency of the boundary and internal positions in terms of operational logic.

[0112] Example 12: Based on Example 11, the process of taking the starting position of the logical state vector as its logical next position in step S30323 provided in this embodiment of the invention specifically includes the following steps:

[0113] Step S303231: Extract the index number corresponding to all logical value positions identified as modified in the intermediate state vector; pair the index number with a subsequence of equal length extracted from the half-width-height numerical sequence to form an index-half-width value pair; if an index number is equal to the maximum length of the logical state vector, the position is determined to be a boundary position, and a boundary position set is generated.

[0114] Step S303232: Divide each index-half-width value in the boundary position set by a normalization factor determined by the sum of all half-width values ​​to obtain a scaling factor between 0 and 1; multiply the scaling factor by the total length of the logic state vector, round the result down to obtain a new index value within the effective length range of the vector, and generate a wraparound index set.

[0115] Step S303233: For each wraparound index in the wraparound index set, read the logic value from the index position of the intermediate state vector, input the logic value and the fixed mask value into the logic gate for operation; write the obtained logic value back to the original boundary position in the intermediate state vector to overwrite the original value; after performing the operation on all wraparound indices, the intermediate state vector is converted into the final updated logic state vector.

[0116] In the above embodiments, the intermediate state vector is converted into the final updated logical state vector, realizing seamless wraparound processing of the boundary position under the management of the circular buffer, and maintaining the integrity and consistency of the entire vector in the logical state update process.

[0117] Example 13: Based on Example 12, the process of obtaining a new index value within the effective length range of the vector in step S303232 of this embodiment of the invention specifically includes the following steps:

[0118] Step S3032321: Based on the statistical distribution characteristics of the half-width numerical sequence, a set of non-equal-width quantization intervals are preset; each scaling factor is assigned to the corresponding quantization interval according to its numerical value, and each quantization interval is pre-assigned a unique integer identifier to generate a quantization identifier sequence.

[0119] Step S3032322: Input the total length of the quantization identifier sequence and the logic state vector into an address mapping table; the address mapping table maintains a circular lookup table of length L, each entry stores an integer between 0 and L-1, and the arrangement of values ​​in the table satisfies the characteristics of a pseudo-random sequence; using each identifier in the quantization identifier sequence as the offset address of the lookup table, retrieve the corresponding integer value from the table to generate the original mapping value sequence;

[0120] Step S3032323: Check each original mapping value in the original mapping value sequence in turn. If the original mapping value is equal to the vector length L, set it to zero. Read the corresponding half-width value and extract the parity of the least significant bit of the half-width value. If it is odd, add a small offset to the current mapping value by the remainder determined by the half-width value divided by L. If it is even, keep it unchanged. For values ​​that exceed L-1 after the addition, perform a wrapback operation by subtracting L. Construct a new set of index values ​​within the valid range.

[0121] In the above embodiments, this embodiment pre-defines non-uniform quantization intervals based on the statistical distribution characteristics of the half-width numerical sequence, assigns the scaling factor to the corresponding interval according to its value, and assigns a unique integer identifier to each interval to generate a quantization identifier sequence; it realizes the discretization and classification of the scaling factor, providing structured input for mapping; by mapping the quantization identifier sequence with the total length of the logic state vector input address mapping table, and using the maintained circular lookup table for mapping, the numerical arrangement with pseudo-random sequence characteristics is generated by retrieving the corresponding integer value with the quantization identifier as the offset address, thus generating the original mapping value sequence; the introduction of pseudo-randomness enhances the unpredictability and uniformity of index generation. Each value in the original mapping value sequence is checked sequentially. If it equals the vector length, it is set to zero to ensure that the index does not go out of bounds. Then, the corresponding half-width value is read, and the parity of its least significant bit determines whether to increase the offset: if it is odd, a small offset is added, determined by the remainder of the half-width value divided by the vector length; if it is even, it remains unchanged. For values ​​that may exceed the valid range after the increase, a wrapback operation is performed by subtracting the vector length, finally generating a new set of index values ​​within the valid range. By using the parity condition and remainder offset, a detailed dependency of the half-width value is introduced on the basis of pseudo-randomness. At the same time, the wrapback operation ensures that all indices are strictly within the valid length of the vector, achieving a boundary-safe and data-relevant index mapping.

[0122] Example 14: Based on Example 13, the process of pre-assigning a unique integer identifier to each quantization interval in step S3032321 provided in this embodiment of the invention specifically includes the following steps:

[0123] Step S30323211: Based on the statistical distribution characteristics of the half-width numerical sequence, extract the cumulative frequency distribution curve of the values ​​in the half-width numerical sequence, divide the cumulative frequency distribution curve into several segments of different heights in the vertical direction, and the numerical range corresponding to each segment on the horizontal axis is a non-equal width quantization interval.

[0124] Step S30323212: The assignment rule for the integer identifier is: according to the arrangement order of the quantization intervals from left to right on the horizontal axis, assign continuously increasing integer values ​​in sequence; compare each scaling factor with the boundary value of the preset non-equal width quantization interval; determine which quantization interval the value falls into based on the specific value of the scaling factor.

[0125] Step S30323213: The integer identifiers pre-assigned to the quantization intervals in which the scaling factor falls are used as the output identifiers corresponding to the scaling factor; after performing the above operation on all scaling factors, the resulting ordered identifier set is the quantization identifier sequence.

[0126] In the above embodiments, this embodiment realizes the adaptive division of numerical intervals according to the original data distribution characteristics, so that the interval width matches the density of the data distribution; it maps continuous scaling coefficients to discrete interval classifications related to the data distribution characteristics; the quantization identifier sequence not only preserves the order relationship of the scaling coefficients, but also converts continuous values ​​into discrete identifiers that reflect the half-width numerical distribution characteristics, providing a structured discrete input for pseudo-random mapping based on identifiers.

[0127] Example 15: As Figure 6 As shown, based on Embodiments 1-14, the remote monitoring system for high and low voltage switchgear provided in this embodiment of the invention includes:

[0128] The optical signal array acquisition module 1 is responsible for combining a fluorescent matrix doped with rare earth elements with a polymer adhesive to prepare a solid thin film coating; attaching the solid thin film coating to the surface of the outer insulation layer of the conductor inside the switch cabinet; when the intensity and distribution of the spatial electromagnetic field inside the high and low voltage switch cabinet change due to load changes, the rare earth ion energy levels in the solid thin film coating are disturbed by the frequency band alternating electromagnetic field, generating stimulated emission and emitting visible light photons whose wavelength has a nonlinear relationship with the local instantaneous field strength value, forming an initial multicolor optical signal array containing spatial field strength distribution information;

[0129] Dataset generation module 2 is responsible for separating the optical signals from the initial multicolor optical signal array; the high-resolution grating spectrometer disperses each optical signal to generate a continuous spectral curve covering a predetermined wavelength range; it identifies the emission lines on each spectral curve that are determined by the characteristic energy level transitions of rare earth ions and whose positions are fixed, and extracts the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission lines relative to their intrinsic wavelengths. The parameters are then bound to the spatial source coordinates of the optical signals, compiled into a structured digital document, and a multidimensional spectral feature coding dataset is generated.

[0130] The data packet output module 3 is responsible for taking the parameter sequence in the multidimensional spectral feature encoding dataset as the original plaintext, and performing the first obfuscation permutation using an initial key generated with the unique identifier of the high and low voltage switchgear; using the numerical sequence of the extracted spectral line half-width as a dynamic perturbation factor, the arrangement rules of the permuted parameter sequence are nonlinearly perturbed, and the encrypted data packet sequence is output; the encrypted data packet sequence is sent through the remote communication interface in a predetermined frame format to form a remote monitoring data stream that can be used for transmission and decoding.

[0131] In the above embodiments, this embodiment achieves high-precision, interference-resistant monitoring and secure remote transmission of the electromagnetic field state within high and low voltage switchgear by integrating rare-earth fluorescence sensing, spectral analysis, and dynamic encryption technologies. The optical signal array acquisition module utilizes the stimulated emission characteristics of rare-earth ions under alternating electromagnetic fields to convert the nonlinear changes in spatial electromagnetic field intensity and distribution into a multicolor optical signal array, realizing a direct, passive mapping from electromagnetic parameters to optical signals and avoiding the electromagnetic interference and insulation risks introduced by traditional electrical sensors. The dataset generation module, through spectral separation and feature extraction, binds the rare-earth characteristic spectral line offsets, full width at half maximum (FWHM), and integral intensity parameters in the optical signal to spatial coordinates, forming a multidimensional spectral feature encoding dataset. This achieves quantitative conversion from optical signals to structured field strength distribution information, improving the resolution and spatial correlation of state parameters. The data packet output module combines device identification and the spectral line FWHM sequence to perform two-level obfuscation and nonlinear perturbation on the parameter sequence, generating an encrypted data packet sequence. This process ensures data integrity while achieving a strong binding between monitoring data and device identity, as well as the unpredictability of dynamic data disturbances, thus enhancing the ability to resist theft and tampering during remote transmission.

[0132] In summary, this embodiment achieves a closed loop from electromagnetic field physical sensing, optical encoding to encrypted transmission, and possesses high spatial resolution, strong anti-interference capability, and data transmission security in complex electromagnetic environments, providing a reliable data foundation for switchgear status assessment and fault early warning.

[0133] Figure 7 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present invention is shown.

[0134] The electronic device may include a central processing unit / microprocessor / main control chip, etc. 4; and a storage medium 5, coupled to the central processing unit / microprocessor / main control chip, etc. 4, and storing computer-executable instructions therein for performing the steps of various methods of embodiments of the present invention when executed by the processor.

[0135] The central processing unit / microprocessor / main control chip, etc., can include, but are not limited to, one or more processors or microprocessors.

[0136] Storage medium 5 may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (e.g., hard disk, floppy disk, solid-state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).

[0137] In addition, the electronic device may also include (but is not limited to) a data bus 6, an input / output bus / external bus / device bus 7, a display 8, and input / output devices 9 (e.g., keyboard, mouse, speaker, etc.).

[0138] The central processing unit / microprocessor / main control chip, etc. 4 can communicate with external devices (8, 9, etc.) via I / O bus 7 through wired or wireless network (not shown).

[0139] Storage medium 5 may also store at least one computer-executable instruction for performing the steps of various functions and / or methods in the embodiments described herein when the central processing unit / microprocessor / main control chip, etc., 4 is running.

[0140] In one embodiment, the at least one computer-executable instruction may also be compiled into or comprise a software product, wherein one or more computer-executable instructions are executed by a processor to perform the steps of the various functions and / or methods in the embodiments described herein.

[0141] Figure 8 A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.

[0142] like Figure 8 As shown, the non-transitory computer-readable storage medium 11 stores instructions, such as computer-readable instructions 10. When the computer-readable instructions 10 are executed by a processor, the various methods described above can be performed. The non-transitory computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. 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 11 can be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions 10 stored on the computer-readable storage medium 11, the various methods described above can be performed.

[0143] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0144] The units described as separate components may or may not be physically separate. The 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 the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0145] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0146] 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 this invention, in essence, or the part 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 methods of the various embodiments of this invention through a computer device (which may be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0147] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote monitoring method for high and low voltage switchgear, characterized in that, Includes the following steps: The optical signals are separated from the initial multicolor optical signal array; a high-resolution grating spectrometer disperses each optical signal to generate a continuous spectral curve covering a predetermined wavelength range; emission lines on each spectral curve are identified and their positions are fixed by the characteristic energy level transitions of rare earth ions, and the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission lines relative to their intrinsic wavelengths are extracted. These parameters are then bound to the spatial source coordinates of the optical signals, compiled into a structured digital document, and a multidimensional spectral feature coding dataset is generated. The parameter sequence in the multidimensional spectral feature encoding dataset is used as the original plaintext. An initial key generated using a unique identifier of the high and low voltage switchgear is used for the first obfuscation permutation. The numerical sequence of the half-width at half-maximum of the extracted spectral lines is used as a dynamic perturbation factor to nonlinearly scramble the arrangement rules of the permuted parameter sequence, and an encrypted data packet sequence is output. The encrypted data packet sequence is sent through the remote communication interface in a predetermined frame format to form a remote monitoring data stream that can be used for transmission and decoding.

2. The remote monitoring method for high and low voltage switchgear as described in claim 1, characterized in that, The process of extracting the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission spectral line relative to its intrinsic wavelength includes the following steps: The continuous spectrum curve and the standard template are multiplied and accumulated point by point within a preset wavelength sliding window, that is, the cross-correlation function is calculated; the wavelength shift corresponding to the global maximum value of the cross-correlation function is recorded, the wavelength shift is defined as the center wavelength offset of the emission spectrum, and the offset data set is output. Using the offset dataset, the wavelength axis is shifted on the continuous spectral curves to roughly align each continuous spectral line with its nominal center wavelength. For each calibrated isolated continuous spectral line, the gradient descent method is used to iteratively adjust the mixing ratio, center position, and width parameters of the basis function so that the root mean square error between the synthesized continuous spectral curve and the measured spectral line data points is lower than the set threshold. From the converged fitting parameters, extract the full width value of the synthetic spectral line at half the maximum intensity, denoted as the half-width at half-maximum, and output the half-width at half-maximum data set. Using each half-width at half maximum (HWHM) value in the dataset as a reference, the temporary integration boundary of the spectral line is defined by extending k times the HWHM to both the left and right sides of the center wavelength. Within the temporary integration boundary, the trapezoidal rule numerical integration is performed on the spectral intensity data after calibration and fitting preprocessing. When the integral value reaches a predetermined threshold calculated by multiplying the peak intensity of the spectral line by the HWHM, the integration is considered complete, the integration result is recorded as the integration intensity parameter, and the integration intensity dataset is output.

3. The remote monitoring method for high and low voltage switchgear as described in claim 1, characterized in that, The process of outputting an encrypted data packet sequence includes the following steps: Using each value in the half-width-half-height numerical sequence as the initial value for iteration, a fixed number of recursive calculations are performed. The result of each recursion is normalized and mapped to an integer index value to generate a dynamic index sequence. Based on each index value in the dynamic index, the element at the corresponding position is selected from the parameter sequence. If the index value exceeds the range of the parameter sequence, the next available position is searched. This process is repeated to form a new rearranged parameter sequence. The rearranged parameter sequence is segmented into segments of a preset fixed length. For each data segment, the XOR operation result of all its elements is calculated, and the XOR operation result is used as the integrity check code of the data segment. The integrity check code is appended to the end of the data segment, and a sequence number generated from the half-width sequence part value is added to the beginning, together forming a complete data packet. All data packets are output in sequence to form an encrypted data packet sequence.

4. The remote monitoring method for high and low voltage switchgear as described in claim 3, characterized in that, The process of using the XOR operation result as the integrity check code of a data segment includes the following steps: Perform a bitwise logical AND operation between the sequence of elements in the data segment and a pre-cut sequence of equal length numerical values ​​from the half-width-half-height numerical sequence; if each bit of the result is 1, it is recorded as a logical true value; if it is 0, it is recorded as a logical false value; arrange a series of true or false values ​​in order to form an initial logical state vector. The index values ​​corresponding to the data segment positions in the dynamic index sequence are converted into fixed-length binary patterns. The binary patterns serve as the control sequence and interact cyclically with the initial logic state vector. Each binary bit of the control sequence is read sequentially. If the binary bit is 1, the corresponding position and the next logical bit in the logic state vector are XORed, and the result is used to replace the value at the original position. If the binary bit is 0, the original value is retained. After traversing the control sequence, an updated logic state vector is generated. The updated logic state vector is divided into groups of four logic values. Each group is used to look up a two-digit hexadecimal number from a preset nonlinear mapping table according to the true value combination pattern. All the hexadecimal numbers obtained from the lookup table are concatenated in order and then modulo-added with a fixed offset derived from a half-width sequence. The result is converted into an eight-digit hexadecimal string, which serves as the integrity check code.

5. The remote monitoring method for high and low voltage switchgear as described in claim 4, characterized in that, The process of cyclically interacting with the initial logic state vector includes the following steps: Repeat the last sequence of the binary pattern or truncate its first sequence to generate a new binary sequence with the same length as the logic state vector, forming an alignment control sequence; Step S30322: Starting from the least significant bit, read each binary bit value of the alignment control sequence in sequence; when the read binary bit value is logic 1, set the logic value of the current corresponding position and the next position in the logic state vector, as well as a fixed mask value derived from the half-width sequence. Write the logic value back to the current position of the logic state vector; when the read bit value is logic 0, the logic value at the corresponding position of the logic state vector remains unchanged; After traversing the entire alignment control sequence, an intermediate state vector is generated. Check all logical value positions that have been modified due to triggering perturbation operations. If the index of the next adjacent position exceeds the length range of the logical state vector, use the wraparound addressing method derived from the circular buffer management to take the starting position of the logical state vector as its logical next position. Reapply logical gate operations to the boundary positions, use the same fixed mask value, replace the original value of the corresponding position in the intermediate state vector with the new operation result, and finally output the updated logical state vector.

6. The remote monitoring method for high and low voltage switchgear as described in claim 5, characterized in that, The process of taking the starting position of a logical state vector as its logical next position includes the following steps: Based on all logical value positions identified as modified in the intermediate state vector, extract the index number corresponding to the logical value position; pair the index number with a subsequence of equal length extracted from the half-width-height numerical sequence to form an index-half-width-height value pair; if a certain index number is equal to the maximum length of the logical state vector, the position is determined to be a boundary position, and a set of boundary positions is generated. Divide each index-half-width value in the boundary position set by a normalization factor determined by the sum of all half-width values ​​to obtain a scaling factor between 0 and 1; multiply the scaling factor by the total length of the logic state vector, round the result down to obtain a new index value within the effective length range of the vector, and generate the wraparound index set. For each wraparound index in the wraparound index set, read the logical value from the index position of the intermediate state vector, input the logical value and the fixed mask value into the logic gate for operation; write the obtained logical value back to the original boundary position in the intermediate state vector to overwrite the original value; after performing the operation on all wraparound indices, the intermediate state vector is converted into the final updated logical state vector.

7. The remote monitoring method for high and low voltage switchgear as described in claim 6, characterized in that, The process of obtaining a new index value within the effective length range of a vector includes the following steps: Based on the statistical distribution characteristics of the half-width numerical sequence, a set of non-equal-width quantization intervals are pre-defined; each scaling factor is assigned to the corresponding quantization interval according to its numerical value, and each quantization interval is pre-assigned a unique integer identifier to generate a quantization identifier sequence. Input the total length of the quantization identifier sequence and the logic state vector into an address mapping table; the address mapping table maintains a circular lookup table of length L, each entry stores an integer between 0 and L-1, and the arrangement of the values ​​in the table satisfies the characteristics of a pseudo-random sequence; Using each identifier in the quantized identifier sequence as the offset address of the lookup table, the corresponding integer value is retrieved from the table to generate the original mapping value sequence; Check each original mapping value in the original mapping value sequence in turn. If the original mapping value is equal to the vector length L, set it to zero. Read the corresponding half-width and half-height values ​​and extract the parity of the least significant bit of the half-width and half-height values. If it is odd, add a small offset to the current mapping value by the remainder determined by the half-width and half-height value divided by L. If it is even, leave it unchanged. For values ​​that exceed L-1 after the addition, perform a wrapback operation by subtracting L. Construct a new set of index values ​​within the valid range.

8. The remote monitoring method for high and low voltage switchgear as described in claim 7, characterized in that, The process of pre-assigning a unique integer identifier to each quantization interval includes the following steps: Based on the statistical distribution characteristics of the half-width numerical sequence, the cumulative frequency distribution curve of the values ​​in the half-width numerical sequence is extracted. The cumulative frequency distribution curve is divided into several segments of different heights along the vertical axis. The numerical range of each segment on the horizontal axis is a non-equal width quantization interval. The assignment rule for integer identifiers is as follows: assign continuously increasing integer values ​​in sequence according to the arrangement of quantization intervals from left to right on the horizontal axis; compare each scaling factor with the boundary value of the preset non-equal width quantization interval. Based on the specific value of the proportionality coefficient, determine which quantization interval the value falls into. The integer identifiers pre-assigned to the quantization intervals in which the scaling factor falls are used as the output identifiers corresponding to the scaling factor; after performing the above operation on all scaling factors, the resulting ordered set of identifiers is the quantization identifier sequence.

9. The remote monitoring method for high and low voltage switchgear as described in claim 1, characterized in that, It also includes preparing a solid thin film coating by combining a fluorescent matrix doped with rare earth elements with a polymer adhesive; attaching the solid thin film coating to the surface of the outer insulation layer of the conductor inside the switch cabinet; when the intensity and distribution of the spatial electromagnetic field inside the high and low voltage switch cabinet change due to load variations, the rare earth ion energy levels in the solid thin film coating are disturbed by the frequency band alternating electromagnetic field, generating stimulated emission and emitting visible light photons whose wavelength has a nonlinear relationship with the local instantaneous field strength value, forming an initial multicolor light signal array containing spatial field strength distribution information.

10. A remote monitoring system for high and low voltage switchgear, used to implement the remote monitoring method for high and low voltage switchgear as described in any one of claims 1 to 9, characterized in that, include: The optical signal array acquisition module is responsible for combining a fluorescent matrix doped with rare earth elements with a polymer adhesive to prepare a solid thin film coating. A solid thin film coating is attached to the surface of the outer insulation layer of the conductor inside the switch cabinet. When the intensity and distribution of the spatial electromagnetic field inside the high and low voltage switch cabinet change due to load changes, the rare earth ion energy levels in the solid thin film coating are disturbed by the frequency band alternating electromagnetic field, generating stimulated emission and emitting visible light photons whose wavelength has a nonlinear relationship with the local instantaneous field strength value, forming an initial multicolor light signal array containing spatial field strength distribution information. The dataset generation module is responsible for separating the optical signals from the initial multicolor optical signal array; the high-resolution grating spectrometer disperses each optical signal to generate a continuous spectral curve covering a predetermined wavelength range; it identifies the emission lines on each spectral curve that are determined by the characteristic energy level transitions of rare earth ions and whose positions are fixed, and extracts the offset, full width at half maximum (FWHM), and integral intensity parameters of the emission lines relative to their intrinsic wavelengths. The parameters are then bound to the spatial source coordinates of the optical signals, compiled into a structured digital document, and a multidimensional spectral feature coding dataset is generated. The data packet output module is responsible for taking the parameter sequence in the multidimensional spectral feature encoding dataset as the original plaintext and performing the first obfuscation permutation using an initial key generated with the unique identifier of the high and low voltage switchgear. It then uses the numerical sequence of the extracted spectral line half-width as a dynamic perturbation factor to nonlinearly scramble the arrangement rules of the permuted parameter sequence and outputs an encrypted data packet sequence. The encrypted data packet sequence is sent via the remote communication interface in a predetermined frame format to form a remote monitoring data stream that can be used for transmission and decoding.

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