CN-121996994-A - MOF spectrum regulation-oriented fabric spectrum modeling method and system

CN121996994ACN 121996994 ACN121996994 ACN 121996994ACN-121996994-A

Abstract

The invention relates to the technical field of spectrum signal processing, in particular to a fabric spectrum modeling method and system for MOF spectrum regulation, comprising the following steps of recombining structural parameters and spectrum data to generate a reference parameter set, analyzing load quantity and reflectivity to correlate and identify abnormal fluctuation and generate a diagnosis data set, extracting a spectrum distribution state to identify key regulation nodes to generate a distribution result, and identifying the spectrum offset of adjacent sections of environmental fluctuation to obtain an evolution model. In the invention, the digital quantification of the spectral response characteristic is realized through the structural recombination, the energy exchange deviation is identified by utilizing the association analysis to eliminate interference, the radiation refrigeration mode identification capability is enhanced by combining the position coding, the spectrum change trend is tracked in real time by constructing the dynamic evolution model, the regulation and control sensitivity under the complex microclimate is obviously improved, the self-adaptive coordination of the refrigeration efficiency and the environmental fluctuation is ensured, and the efficient prediction of the spectral behavior is realized.

Inventors

ZUO YANWEN
XIE KAIFANG
GUO HONG
Yi Wanting

Assignees

湖南工程学院

Dates

Publication Date: 20260508
Application Date: 20260410

Claims (8)

1. The fabric spectrum modeling method for MOF spectrum regulation is characterized by comprising the following steps of: s1, based on initial input of a fabric multi-layer structure and a metal organic framework material spectrum response, carrying out structural recombination on structural parameters and spectrum data of a differentiation source in a fabric spectrum regulation model, and generating a spectrum response reference parameter set by combining a time tag and a space identifier; S2, analyzing the association relation between the metal organic frame load capacity and the spectral reflectivity distribution based on the spectral response reference parameter set, identifying an abnormal fluctuation interval set and an energy exchange deviation range, screening a spectral sampling unit exceeding a preset threshold value, and generating a spectral abnormality diagnosis data set; S3, based on the spectrum anomaly diagnosis data set, extracting a spectrum distribution state and a radiation refrigeration change value, identifying a key spectrum regulation node and material structure combination, screening spectrum units conforming to a preset standard radiation characteristic model, and superposing a position coding labeling corresponding region to generate a fabric spectrum distribution result; S4, based on continuous change information of the fabric spectrum distribution result under the environment parameters, identifying the spectrum offset of adjacent sections of the environment fluctuation, extracting the offset direction and the response track, and screening spectrum paragraphs with the same continuous offset direction to obtain a fabric spectrum dynamic response and regulation evolution model; S5, identifying the change trend of radiation intensity and the spectrum response level according to the fabric spectrum dynamic response and regulation evolution model, constructing radiation refrigeration efficiency distribution, comparing time synchronization change characteristics among different wave bands, identifying the overlapping position of the section coordinates and the spectrum distribution, which are simultaneously turned, and outputting a spectrum behavior linkage response control instruction set; The spectrum behavior linkage response control instruction set comprises a radiation linkage change area, a spectrum response intersection point and an abnormal performance index group.
2. The MOF spectrum regulation oriented fabric spectrum modeling method according to claim 1, wherein the spectrum response reference parameter set comprises a spectrum distribution characteristic value set, a spectrum attribute grid and a structure operation parameter face, the spectrum abnormality diagnosis data set comprises a spectrum fluctuation identification result, an energy deviation mark, radiation energy data and an interference data elimination mask, the fabric spectrum distribution result comprises a target spectrum candidate set, a key node response template, a radiation refrigeration change value and a region position code, and the fabric spectrum dynamic response and regulation evolution model comprises a continuous shift trend track, a path direction vector set and a region shift node.
3. The method for modeling a fabric spectrum for MOF spectrum regulation according to claim 1, wherein the step of obtaining the spectrum response reference parameter set specifically comprises the steps of: s111, based on initial input of metal organic frame materials and a fabric matrix, collecting original data from a differential detection channel in a fabric spectrum regulation model, carrying out frame sequence matching by combining a time tag, calculating a spectrum intensity difference value between adjacent frames, and eliminating sampling units with the adjacent frame difference value exceeding a fluctuation critical threshold value in a spectrum distribution sequence to generate a multidimensional spectrum matrix; S112, extracting reflection intensity and transmission distribution data under the same time and space identification according to the multidimensional spectrum matrix, executing data integrity check, screening out records with missing items, and generating an effective spectrum operation factor data set; S113, calling the effective spectrum operation factor data set, identifying standard deviation of reflection intensity in a sampling unit group with consistent spectrum operation modes, carrying out normalization processing, calculating normalized spectrum difference intensity values, reclassifying sampling units in an area, and establishing a spectrum response reference parameter set.
4. The method for modeling a fabric spectrum for MOF spectrum regulation according to claim 3, wherein the step of obtaining the spectral anomaly diagnosis dataset specifically comprises the steps of: S211, extracting spectral distribution state and radiation energy data in a target image layer based on the spectral response reference parameter set, matching and comparing a fluctuation value of a spectral sampling unit with a preset radiation interval, and analyzing a corresponding relation to obtain a spectral fluctuation interval data set; S212, calling the spectrum fluctuation interval data set, judging whether the numerical value of the sampling unit falls into a designated interval or not according to the distribution state of the sampling unit in the target layer, identifying the difference quantity of the sampling unit which is not in the interval, judging a reject object according to the difference quantity, and obtaining a reject sampling unit number list; S213, calling the number list of the eliminating sampling units, deleting interference data associated with the corresponding numbers in the target layer, reorganizing the spatial distribution of the residual sampling units, and generating a spectrum anomaly diagnosis data set.
5. The method for modeling a fabric spectrum for MOF spectrum regulation according to claim 4, wherein the step of obtaining the fabric spectrum distribution result specifically comprises: S311, based on the spectrum anomaly diagnosis data set, extracting the distribution state and the radiation refrigeration change value of a layer sampling unit, and identifying a typical spectrum mode region by combining the differential spectrum nodes and corresponding structure parameter data to obtain a spectrum mode characterization combination; S312, invoking the spectrum mode characterization combination, detecting the fluctuation difference of the sampling units and the cooperative variation degree of the structural parameters in the combined area, aggregating and comparing the response values of the sampling units at key nodes, and calibrating the area of spectrum behavior potential to obtain a spectrum influence sensitive area index set; S313, calling the spectrum influence sensitive area index set, matching a sensitive area sampling unit with a spectrum mode characterization combination, screening sampling units meeting characteristic requirements, marking position coding information of corresponding areas, and generating a fabric spectrum distribution result.
6. The method for modeling a fabric spectrum oriented to MOF spectrum regulation according to claim 5, wherein the step of obtaining the fabric spectrum dynamic response and regulation evolution model is specifically as follows: S411, based on the fabric spectrum distribution result, extracting continuous change information among multiple environmental time periods in the spectrum, identifying the spectrum offset of the geometric centers of adjacent areas in the environmental sequence, extracting offset direction vectors and displacement lengths, analyzing the angle difference value of the offset direction consistency among the adjacent areas, and obtaining a spectrum continuous offset direction data set; s412, calling the spectrum continuous offset direction data set, and adopting a formula according to the change trend of the angle difference value: ; calculating an angle fluctuation dispersity value, extracting a region paragraph with stable offset direction, screening continuous paragraphs with angle change lower than a preset threshold value, and obtaining stable offset section information; Wherein, the Representing the value of the dispersion of the angular fluctuation, Represents the first The angle value of the data point is calculated, Represents the first The angle value of the data point is calculated, Representing the total number of data points, Representing microclimate data associated with the angular change, Representing the local rate of change of angle; S413, calling the stable offset section information, combining the offset direction angle in each section, the spectrum distribution intensity among the areas and the environment sequence continuity index, identifying track sections with strong continuity and concentrated spectrum signals, and fitting evolution features to obtain a fabric spectrum dynamic response and regulation evolution model.
7. The method for modeling a fabric spectrum for MOF spectrum regulation according to claim 6, wherein the step of obtaining the spectrum behavior linkage response control instruction set specifically comprises: s511, based on the fabric spectrum dynamic response and regulation evolution model, extracting the radiation intensity change trend and spectrum response level in a section, identifying the daily change value and the daily average value of the emissivity of the section, analyzing the radiation change amplitude and the spectrum fluctuation degree, and generating a synchronous spectrum change characteristic value group; S512, calling the synchronous spectrum change characteristic value group, extracting turning points in a continuous period according to the grid efficiency sequence of the radiation refrigeration efficiency layer and combining the radiation change amplitude, the spectrum fluctuation degree and the refrigeration efficiency, screening the section numbers of turning characteristics, and summarizing to obtain a mutation synchronous section index list; s513, according to the mutation synchronous section index list, matching spectrum distribution map layer coordinate units corresponding to section numbers, screening overlapping grids with consistent indexes, marking, and outputting a spectrum behavior linkage response control instruction set.
8. A MOF spectrum control oriented fabric spectrum modeling system for implementing the MOF spectrum control oriented fabric spectrum modeling method of any one of claims 1-7, the system comprising: the spectrum reference construction module collects data of differential sources in the fabric spectrum regulation model, extracts spectrum operation data, and performs formatting processing on the spectrum data and the structural factors by combining time and space identifiers to generate a spectrum response reference parameter set; the spectrum anomaly detection module screens sampling units exceeding a preset threshold according to the spectrum distribution state and the radiation data based on the spectrum response reference parameter set, eliminates abnormal associated interference data, integrates the residual spectrum distribution state and the operation information, marks an abnormal region and generates a spectrum anomaly diagnosis data set; The spectrum behavior extraction module is used for extracting spectrum distribution states, radiation refrigeration change values and spectrum intensities based on the spectrum anomaly diagnosis data set, identifying sampling units conforming to spectrum modes, matching spectrum behavior templates, superposing position codes and time labels, and performing space positioning to generate fabric spectrum distribution results; The spectrum path tracking module extracts a time tag and spectrum running information based on the fabric spectrum distribution result, identifies a space distance between spectrum behavior areas in adjacent time intervals, judges a deviation direction and a continuous track, integrates path sections consistent with the deviation direction to obtain a fabric spectrum dynamic response and regulation evolution model, and the spectrum linkage analysis module performs time sequence comparison based on the fabric spectrum dynamic response and regulation evolution model, identifies a synchronous turning position, positions overlapping positions of the turning areas and the spectrum behaviors, and outputs a spectrum behavior linkage response control instruction set according to the radiation intensity change trend, the spectrum response level and the radiation refrigeration efficiency of the path sections.

Description

MOF spectrum regulation-oriented fabric spectrum modeling method and system Technical Field The invention relates to the technical field of spectrum signal processing, in particular to a fabric spectrum modeling method and system for MOF spectrum regulation. Background The technical field of spectrum signal processing refers to the technical field of optimizing and utilizing spectrum signals in different application scenes through acquisition, analysis, processing and interpretation of spectrum data. The core matters related to the technology comprise acquisition and detection of spectrum signals, processing and analysis methods of spectrum data and application of spectrum information. In particular, the spectrum signal processing technology mainly focuses on how to acquire spectrum information through advanced instruments and equipment, extract effective information by using mathematical algorithms and processing technologies, and apply the effective information to various fields such as environmental monitoring, material analysis, and the like. In addition, the spectrum signal processing technology also comprises technical means in the aspects of spectrum modeling, data filtering, signal enhancement and the like, and aims to improve the accuracy and the practicability of spectrum data. The traditional fabric spectrum modeling method facing MOF spectrum regulation refers to a method for spectrum regulation and modeling by combining the structural characteristics of a fabric through the spectrum characteristics of a Metal Organic Framework (MOF) material. The method mainly solves the problem how to optimize the spectral characteristics of the fabric by adjusting the spectral response of the MOF material, thereby achieving specific functional requirements, such as application of radiation refrigeration in daytime and the like. The traditional method mainly relies on physical experiment means to adjust material types and weaving operation to try to optimize spectral characteristics, the static debugging mode based on experience is difficult to quantitatively analyze complex coupling relation between a fabric multilayer structure and spectral response, a manual trial-and-error process cannot capture a spectrum shift track under dynamic environment change, a multi-dimensional data association is lacking to enable an abnormal energy exchange area and a spectrum fluctuation source to be not accurately identified, continuous fluctuation of a microclimate environment is difficult to adapt to only static parameter setting of a single dimension, radiation refrigeration performance optimization is caused to lack of accurate evolution model support, dynamic response trend under complex working conditions cannot be effectively predicted, and regulation and control precision is low and response is slow. Disclosure of Invention The invention aims to solve the defects in the prior art, and provides a fabric spectrum modeling method and system for MOF spectrum regulation. In order to achieve the above purpose, the invention adopts the following technical scheme that the fabric spectrum modeling method facing MOF spectrum regulation comprises the following steps: s1, based on initial input of a fabric multi-layer structure and a metal organic framework material spectrum response, carrying out structural recombination on structural parameters and spectrum data of a differentiation source in a fabric spectrum regulation model, and generating a spectrum response reference parameter set by combining a time tag and a space identifier; S2, analyzing the association relation between the metal organic frame load capacity and the spectral reflectivity distribution based on the spectral response reference parameter set, identifying an abnormal fluctuation interval set and an energy exchange deviation range, screening a spectral sampling unit exceeding a preset threshold value, and generating a spectral abnormality diagnosis data set; S3, based on the spectrum anomaly diagnosis data set, extracting a spectrum distribution state and a radiation refrigeration change value, identifying a key spectrum regulation node and material structure combination, screening spectrum units conforming to a preset standard radiation characteristic model, and superposing a position coding labeling corresponding region to generate a fabric spectrum distribution result; And S4, based on continuous change information of the fabric spectrum distribution result under the environment parameters, identifying the spectrum offset of the adjacent sections of the environment fluctuation, extracting the offset direction and the response track, and screening spectrum paragraphs with the same continuous offset direction to obtain the fabric spectrum dynamic response and regulation evolution model. As a further scheme of the invention, the spectrum response reference parameter set comprises a spectrum distribution characteristic value set, a spectrum attribute grid and