CN117150226B - Carrier communication transmission information acquisition management system - Google Patents
Carrier communication transmission information acquisition management system Download PDFInfo
- Publication number
- CN117150226B CN117150226B CN202311433493.3A CN202311433493A CN117150226B CN 117150226 B CN117150226 B CN 117150226B CN 202311433493 A CN202311433493 A CN 202311433493A CN 117150226 B CN117150226 B CN 117150226B
- Authority
- CN
- China
- Prior art keywords
- data
- geological
- interval
- geological exploration
- waves
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 26
- 238000004891 communication Methods 0.000 title claims abstract description 25
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000000354 decomposition reaction Methods 0.000 claims description 36
- 238000000034 method Methods 0.000 claims description 36
- 238000012937 correction Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 8
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 238000007781 pre-processing Methods 0.000 abstract description 2
- 238000003672 processing method Methods 0.000 abstract description 2
- 230000001105 regulatory effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/885—Radar or analogous systems specially adapted for specific applications for ground probing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/36—Recording data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2134—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis
- G06F18/21348—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis overcoming non-stationarity or permutations
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0002—Modulated-carrier systems analog front ends; means for connecting modulators, demodulators or transceivers to a transmission line
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2123/00—Data types
- G06F2123/02—Data types in the time domain, e.g. time-series data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
- G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geology (AREA)
- Radar, Positioning & Navigation (AREA)
- Electromagnetism (AREA)
- Environmental & Geological Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geophysics (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to the field of data processing, in particular to a carrier communication transmission information acquisition management system, which comprises: the data acquisition and preprocessing module is used for acquiring geological waves corresponding to geological exploration data; the data characteristic analysis module is used for dividing the section of the geological wave corresponding to the first geological exploration data; obtaining the possibility of adding white noise in each interval according to the data in the interval in the first geological exploration data, and then combining; decomposing geological waves corresponding to geological exploration data to obtain component waves; dividing each component wave into intervals; obtaining the average Euclidean distance between the component waves and the average Euclidean distance between the intervals, and obtaining the influence degree of noise on each interval and the degree of adding white noise into each interval; and the storage management module is used for obtaining corrected first geological exploration data according to the degree of adding white noise into each interval and carrying out storage management. The invention improves the accuracy of the monitoring data by using the data processing method.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a carrier communication transmission information acquisition management system.
Background
The carrier communication is a communication mode for transmitting data by using carrier signals, and can realize efficient and reliable data transmission by modulating the data signals onto carriers with different frequencies for transmission. The carrier communication technology has great application in the field of geological exploration, and the acquired geological monitoring data are modulated into carrier data through carrier signals to obtain geological exploration data. When the geological exploration data is collected and managed, the collected geological exploration data is inaccurate due to noise interference in a geological environment, so that the geological exploration data needs to be processed; however, in the conventional processing method, gaussian white noise processing is performed on all geological exploration data to the same extent, so that different differences of different data segments are obvious in processing, and interference of noise cannot be well processed.
Disclosure of Invention
The invention provides a carrier communication transmission information acquisition management system, which aims to solve the existing problems.
The invention relates to a carrier communication transmission information acquisition management system, which adopts the following technical scheme:
one embodiment of the invention provides a carrier communication transmission information acquisition management system, which comprises the following modules:
the data acquisition module acquires a geological wave corresponding to the first geological exploration data, a geological wave corresponding to the second geological exploration data and a geological wave corresponding to the third geological exploration data;
the data characteristic analysis module is used for dividing the section of the geological wave corresponding to the first geological exploration data to obtain a plurality of sections; obtaining the possibility of adding white noise to each interval according to the time length and the data distribution difference of each interval in the first geological exploration data, and merging the intervals in the first geological exploration data according to the possibility of adding white noise to each interval in the first geological exploration data to obtain a plurality of intervals after the first geological exploration data are merged;
marking the combined intervals as marked intervals, and marking the endpoints of the divided marked intervals as marked points;
decomposing the geological waves corresponding to the first geological exploration data, the geological waves corresponding to the second geological exploration data and the geological waves corresponding to the third geological exploration data to obtain a plurality of component waves of each geological wave;
dividing the intervals of each component wave according to the marking points to obtain a plurality of intervals of each component wave; obtaining average Euclidean distance between the component waves according to the data in the component waves, and obtaining average Euclidean distance between the sections according to the data in the sections;
obtaining the influence degree of noise on each interval in the first geological exploration data according to the average Euclidean distance between the component waves and the average Euclidean distance between the intervals;
obtaining the degree of adding white noise in each interval according to the possibility of adding white noise in each interval in the first geological exploration data and the influence degree of noise on each interval;
the storage management module corrects the first geological exploration data according to the degree of adding white noise in each interval to obtain corrected first geological exploration data; and then storing and managing the corrected geological exploration data.
Further, the dividing the geological wave corresponding to the first geological exploration data into a plurality of intervals includes:
obtaining extreme points in geological waves corresponding to the first geological exploration data, wherein the extreme points comprise maximum points and minimum points; and dividing the geological exploration data into intervals according to the extreme points in the geological waves corresponding to the first geological exploration data.
Further, the obtaining the possibility of adding white noise to each interval according to the time length and the data distribution difference of each interval in the first geological exploration data, and merging the intervals in the first geological exploration data according to the possibility of adding white noise to each interval in the first geological exploration data to obtain a plurality of intervals after the first geological exploration data are merged, includes:
the formula for the probability of adding white noise per interval is:
in the method, in the process of the invention,indicates the time length of the ith interval, +.>Represents the ithTime length of +1 intervals, +.>Indicates the time length of the i-1 th interval, < >>Representing the difference of data distribution between the ith zone and the (i-1) th zone, +.>Data distribution difference representing the i-th section and the i+1th section, +.>Indicating the possibility of adding white noise in the ith interval,/->An exponential function that is based on a natural constant;
when (when)When the white noise is larger than the preset threshold A, white noise is required to be added in the ith interval; when->When the value is smaller than or equal to a preset threshold A, the ith interval needs to be combined; and merging all adjacent sections needing to be merged to obtain a plurality of sections after merging.
Further, the method for acquiring the data distribution difference comprises the following steps:
the formula of the data distribution difference is:
in the method, in the process of the invention,data distribution characteristic representing the ith interval, < ->Represent the firsti-1 intervals, and the result value obtained by subtracting the minimum value from the maximum value of each interval is taken as the data distribution characteristic of the interval.
Further, the decomposing the geological wave corresponding to the first geological exploration data, the geological wave corresponding to the second geological exploration data and the wave corresponding to the third geological exploration data to obtain a plurality of component waves of each geological wave includes:
and decomposing the geological wave corresponding to the first geological exploration data, the geological wave corresponding to the second geological exploration data and the wave corresponding to the third geological exploration data by using an ICA algorithm to obtain a plurality of component waves of each geological wave.
Further, the dividing the interval of each component wave according to the mark point to obtain a plurality of intervals of each component wave includes:
and dividing the interval of each component wave according to the position determined by the mark point.
Further, the obtaining the average euclidean distance between the component waves according to the data in the component waves and obtaining the average euclidean distance between the sections according to the data in the sections includes:
acquiring two data of two component waves at the same moment, calculating the difference between the two data at the same moment, and recording the difference as moment data difference; then calculating the average value of the data difference of all moments of the two component waves to obtain the average Euclidean distance between the two component waves;
acquiring two data at the same time in the same position interval, calculating the time data difference between the two data at the same time, and calculating the average value of all the time data differences of the two intervals to obtain the average Euclidean distance between the two intervals.
Further, the obtaining the influence degree of noise on each interval in the first geological exploration data according to the average euclidean distance between the component waves and the average euclidean distance between the intervals includes:
recording all the component waves after the geologic waves corresponding to the first geological exploration data are decomposed as target component waves; recording all the component waves after the decomposition of the geological waves corresponding to the second geological exploration data and all the component waves after the decomposition of the geological waves corresponding to the third geological exploration data as undetermined component waves;
the formula of the influence degree of noise on each section is:
in the method, in the process of the invention,representing the average Euclidean distance between the jth target component wave and the undetermined component wave,/>Representing the average Euclidean distance between the v interval of the j-th target component wave and the v interval of the component wave to be determined,/>Representing a minimum function, k representing the number of component waves after decomposition of the geologic wave corresponding to each geologic survey data, +.>Representing a linear normalization function, ++>Indicating the extent to which the v-th interval is affected by noise.
Further, the obtaining the white noise adding degree of each section according to the white noise adding possibility of each section and the noise influence degree of each section in the first geological exploration data includes:
the method for obtaining the degree of adding white noise in each interval comprises the following steps:
in the method, in the process of the invention,representation ofThe v-th interval of the first geological survey data is affected by noise to an extent of +.>Representing the likelihood of adding white noise to the v-th interval of the first geological survey data,/->Representing the degree to which the v-th interval of the first geological survey data adds white noise.
Further, the method for acquiring the corrected first geological exploration data comprises the following steps:
correcting the white noise added Gaussian model through the degree of adding white noise into each interval of the first geological exploration data, wherein the correction is specifically as follows: obtaining random numbers in Gaussian distribution according to the mean value and standard deviation of the first geological exploration data, obtaining random numbers corresponding to each time data point, multiplying the random numbers corresponding to each time data point by the white noise adding degree of the interval to which the time data point belongs to obtain data to which white noise needs to be added of each time data point of each interval after correction, sequentially obtaining data after white noise is added to the first geological exploration data corresponding to the first geological exploration wave, and recording the data as corrected geological exploration data; and then storing and managing the corrected geological exploration data.
The technical scheme of the invention has the beneficial effects that: according to the invention, the geological waves corresponding to geological exploration data are divided into sections, and the combination processing is carried out according to the data difference characteristics of each section, so that the noise interference is reduced; and analyzing the same interval by acquiring geological waves corresponding to three groups of geological exploration data at the same position and at different times, and acquiring the degree of increasing white noise of each interval, so that the reliability of the monitoring data is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block flow diagram of a carrier communication transmission information acquisition management system according to the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description refers to specific implementation, structure, characteristics and effects of a carrier communication transmission information acquisition management system according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of the carrier communication transmission information acquisition management system provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a block flow diagram of a carrier communication transmission information acquisition management system according to an embodiment of the present invention is shown, where the system includes the following blocks:
module 101: and the data acquisition and preprocessing module.
In this embodiment, the analysis is performed by acquiring the geological monitoring data, but since the type of the geological monitoring data is a baseband signal, the transmission of the baseband signal data is inconvenient and the transmission efficiency and the transmission distance have larger problems; therefore, the acquired data can be combined, namely regulated and controlled through sine waves, and the acquired data is processed on the premise of not affecting the content of the signals. And processing the geological exploration data according to the characteristics and the data characteristics during the acquisition of the geological exploration data, improving the accuracy of the geological exploration data, obtaining the geological exploration data without noise interference, and then realizing storage and management.
Specifically, acquiring geological monitoring data by using an acoustic geological radar, regulating and controlling the geological monitoring data by using a QAM method, and then obtaining geological exploration data; and establishing a coordinate system by taking time as a horizontal axis and taking geological exploration data of each time as a vertical axis to obtain geological exploration waves consisting of the geological exploration data of all times. Among them, QAM is a quadrature amplitude modulation, a modulation technique commonly used in digital communication systems to transmit digital information on an analog signal carrier, and QAM encodes digital data by changing the amplitude and phase of the carrier, thereby allowing more information to be transmitted within a limited spectrum bandwidth.
A time threshold B is preset, where the embodiment is described by taking b=2 hours as an example, and the embodiment is not specifically limited, where B may be determined according to the specific implementation situation.
Thus, the geological exploration wave composed of the geological exploration data of all times in the time length B is obtained, and the corresponding data are recorded as the first geological exploration data and the corresponding geological wave.
And collecting two groups of geological waves consisting of geological exploration data with the time length of B at the same position, and respectively marking the geological waves as second geological exploration data and corresponding geological waves, and third geological exploration data and corresponding geological waves.
To this end, three sets of geologic waves are obtained, which consist of geologic survey data.
Module 102: and a data characteristic analysis module.
When geological exploration data is acquired, because of interference of a plurality of factors in the environment, the acquired geological exploration data contains a large amount of noise, the acquired data needs to be subjected to denoising treatment, and the acquired geological exploration data is influenced by a plurality of factors, mainly the environmental noise caused by natural external force in the environment and the secondary noise. The main frequency of the environmental noise and the real seismic wave overlap more, so that the noise can be regarded as stable random noise, and the secondary noise is generated due to the elastic wave propagation process and is non-stable random noise. Noise generated by seismic waves is random, and when EMD decomposition is carried out on the noise, two extreme points decomposed through the extreme points are at different frequencies, but the noise is separated into the same IMF component after decomposition, and more than one information is contained in the IMF component. The overlapping condition of the data can be reduced by adding white noise into the acquired data, the white noise is added into the acquired geological exploration data to regulate and control, and the geological exploration data is regulated by adding the white noise with different degrees into different interval data.
(1) The probability of adding white noise per interval is calculated.
When the EMD is used to decompose the geological exploration data, components possibly decomposed by the extreme points are different, so that the extreme points of the signal wave corresponding to the geological exploration data are divided into intervals, and the possibility that white noise needs to be added to different intervals is obtained according to the difference between the intervals. The EMD is a non-parametric adaptive signal decomposition method for decomposing a non-stationary signal into a plurality of eigen-mode functions.
Specifically, extreme points in geological waves corresponding to the first geological exploration data are obtained, wherein the extreme points comprise maximum points and minimum points; and dividing the geological exploration data into intervals according to the extreme points in the geological waves corresponding to the first geological exploration data. Wherein each section is left-closed right-open, but the last section is left-closed right-closed. The data distribution characteristics of each interval are obtained according to the data of each interval, namely, the result value obtained by subtracting the minimum value from the maximum value of each interval is used as the data distribution characteristics of the interval, and the data distribution characteristics of all the intervals can be obtained asWherein n represents the number of intervals, +.>Representing the data distribution characteristics of the i-th interval. Obtaining the data distribution difference of two adjacent intervals according to the data distribution characteristics of the adjacent intervals, wherein the data distribution difference is expressed as follows by a formula:
in the method, in the process of the invention,data distribution characteristic representing the ith interval, < ->Representing the data distribution characteristics of the i-1 th interval,the data distribution difference between the i-th section and the i-1 th section is represented.
The possibility of adding white noise in each interval is obtained according to the difference between adjacent intervals, and is expressed as follows:
in the method, in the process of the invention,indicates the time length of the ith interval, +.>Represents the time length of the (i+1) -th interval, < >>Indicates the time length of the i-1 th interval, < >>Representing the difference of data distribution between the ith zone and the (i-1) th zone, +.>Data distribution difference representing the i-th section and the i+1th section, +.>Indicating that white noise is added in the ith intervalPossibility (s)/(s)>An exponential function based on a natural constant is represented.
Wherein,the difference of the time length of the ith section and the (i+1) th section is represented, when the difference of the time lengths of two adjacent sections is larger, the possibility of adding white noise to the section is larger, the white noise is required to be added to the section, the robustness of the section data is enhanced by adding the white noise, and the stronger the robustness is the less influence of the noise in the section on the section data analysis. When->The larger the interval is, the larger the possibility of adding white noise is, the more white noise is needed to be added to the interval, and the influence of the noise in the interval on data is reduced.
A threshold value a is preset, where the embodiment is described by taking a=0.35 as an example, and the embodiment is not specifically limited, where a may be determined according to the specific implementation situation. When (when)When the white noise is larger than the preset threshold A, white noise is required to be added in the ith interval; when->When the value is smaller than or equal to the preset threshold A, the ith interval needs to be combined. And merging all adjacent sections needing to be merged, wherein the possibility of adding white noise in the sections after merging is obtained by calculating the average value of the possibility of adding white noise in the merged sections, then obtaining the sections after processing, and counting the number of the sections after processing as m. The combined section is marked as a marked section, and the point dividing the marked section is marked as a marked point.
(2) The degree of influence of noise on each section is calculated.
In the analysis of the collected set of geological exploration data, the geological exploration wave may be analyzed inaccurately due to the contingency of the set of data, so that a plurality of data at the same position and at different times need to be acquired for analysis.
It should be further noted that, when analyzing different areas of geological exploration data, the difference of geological exploration waves at the same position at different times is not large, which mainly results from interference of noise in geology, because the data obtained by exploration is data of geology. Therefore, the difference between different component waves of different geological exploration waves is obtained through decomposition of a plurality of geological exploration waves, and the influence degree of noise on each interval is obtained according to the difference between different component waves of different geological exploration waves.
Specifically, three sets of geologic waves are decomposed by using an ICA algorithm to obtain all component waves of the three sets of geologic waves, and the number of the component waves after each geologic wave decomposition is recorded as k. The first geological exploration data is recorded as main data, and the second geological exploration data and the third geological exploration data are recorded as auxiliary data.
And dividing the interval of the two groups of auxiliary data according to the mark points. The geological waves corresponding to the first geological exploration data, the geological waves corresponding to the second geological exploration data and the geological waves corresponding to the third geological exploration data are in one-to-one correspondence.
The k component waves after the decomposition of the geological wave corresponding to the first geological exploration data are respectively recorded asThe k component waves after the decomposition of the geologic wave corresponding to the second geologic prospecting data are respectively marked as +.>K component waves after the decomposition of the geologic wave corresponding to the third geologic survey data are respectively marked as +.>Wherein->Representing a first geological surveyThe probe data corresponds to the j-th component wave after decomposition of the geologic wave,>representing the j-th component wave after decomposition of the second geological exploration wave corresponding to the geological wave, ++>The j-th component wave after the decomposition of the geological wave corresponding to the third geological exploration wave is represented, and k represents the number of component waves. Any one of the component waves is divided into m sections, and the specific division is described in detail above.
And carrying out pairwise combination on the decomposed component waves, wherein the rule of pairwise combination is as follows:
and marking all the component waves after the decomposition of the geological waves corresponding to the first geological exploration data as main component waves, and marking all the component waves after the decomposition of the geological waves corresponding to the second geological exploration data and all the component waves after the decomposition of the geological waves corresponding to the third geological exploration data as auxiliary component waves. The combination is matched and combined according to a main component wave and an auxiliary component wave.
The average Euclidean distance between the two component waves in each combination is calculated by the following specific method:
firstly, determining two data of two component waves at the same moment, calculating the difference between the two data at the same moment, and marking the difference as moment data difference; wherein the difference represents the absolute value of the difference. And then calculating the average value of the data difference of all the moments of the two component waves to obtain the average Euclidean distance between the two component waves.
Calculating the average Euclidean distance between the component waves of any one component wave after the decomposition of the geological wave corresponding to the first geological exploration data and all the component waves after the decomposition of the geological wave corresponding to the second geological exploration data and all the component waves after the decomposition of the geological wave corresponding to the third geological exploration data, and recording asRepresenting a geologic decomposition of a geologic wave corresponding to the first geologic survey dataAnd a set of average Euclidean distances between all the component waves after the decomposition of the j-th component wave and the geological wave corresponding to the second geological exploration data and all the component waves after the decomposition of the geological wave corresponding to the third geological exploration data. The data numbers corresponding to all the component waves are the same, and the data between any two component waves are in one-to-one correspondence.
And then, dividing the intervals of all the component waves according to the mark points to obtain a plurality of intervals of each component wave. After all the component waves are divided, the number of data in each interval is the same, and the data in any interval of any two component waves is in one-to-one correspondence.
According to the marked point pairsDividing the section into sections ofWherein->The c-th section of the j-th component wave after the decomposition of the geologic wave corresponding to the first geologic survey data is represented, and m represents the number of sections.
Similarly, all the intervals of all the component waves can be obtained.
And marking any section of any component wave after the decomposition of the geological wave corresponding to the first geological exploration data as a marked section.
According to the calculation process of the average Euclidean distance between any two component waves, the average Euclidean distance between the same position intervals of all component waves after the decomposition of the geological waves corresponding to the second geological exploration data and all component waves after the decomposition of the geological waves corresponding to the third geological exploration data in the marked interval can be obtained and recorded asA v interval representing a j-th component wave after decomposition of the geologic wave corresponding to the first geologic survey data and the second geologic survey dataAverage euclidean distance between the v-th interval of all component waves after the corresponding geologic wave decomposition and the v-th interval of all component waves after the geologic wave decomposition corresponding to the third geologic survey data.
Recording all the component waves after the geologic waves corresponding to the first geological exploration data are decomposed as target component waves; and marking all the component waves after the decomposition of the geological waves corresponding to the second geological exploration data and all the component waves after the decomposition of the geological waves corresponding to the third geological exploration data as undetermined component waves.
And obtaining the influence degree of noise on each section according to the average Euclidean distance between the two component waves and the average Euclidean distance between the two sections. The specific formula is as follows:
in the method, in the process of the invention,representing the average Euclidean distance between the jth target component wave and the undetermined component wave,/>Representing the average Euclidean distance between the v interval of the j-th target component wave and the v interval of the component wave to be determined,/>Representing a minimum function, k representing the number of component waves after decomposition of the geologic wave corresponding to each geologic survey data, +.>Representing a linear normalization function, i.e. linearly normalizing the degree of influence of noise for all intervals, ++>Indicating the extent to which the v-th interval is affected by noise.
The smaller the minimum value of the average euclidean distance between the sections, that is, the greater the influence degree of noise on the corresponding section, the more white noise needs to be added.
The degree of adding white noise in each section is obtained by judging the possibility of adding white noise in each section and the influence degree of noise in each section, and is specifically expressed as follows:
in the method, in the process of the invention,indicating the degree to which the v-th interval of the first geological survey data is affected by noise, +.>Representing the likelihood of adding white noise to the v-th interval of the first geological survey data,/->Representing the degree to which the v-th interval of the first geological survey data adds white noise.
And similarly, obtaining the degree of white noise added to all intervals of the first geological exploration data.
Module 103: and a storage management module.
Correcting the white noise added Gaussian model through the degree of adding white noise into each interval of the first geological exploration data, wherein the correction is specifically as follows: obtaining random numbers in Gaussian distribution according to the mean value and standard deviation of the first geological exploration data, obtaining random numbers corresponding to each time data point, obtaining data needing to be added with white noise in each time data point of each interval after correction according to the degree that the random numbers corresponding to each time data point multiply the interval to which the time data point belongs, and sequentially obtaining data after the white noise is added into the first geological exploration data corresponding to the first geological exploration wave, and marking the data as corrected geological exploration data. And then storing and managing the corrected geological exploration data.
This embodiment is completed.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The carrier communication transmission information acquisition management system is characterized by comprising the following modules:
the data acquisition module acquires a geological wave corresponding to the first geological exploration data, a geological wave corresponding to the second geological exploration data and a geological wave corresponding to the third geological exploration data;
the data characteristic analysis module is used for dividing the section of the geological wave corresponding to the first geological exploration data to obtain a plurality of sections; obtaining the possibility of adding white noise to each interval according to the time length and the data distribution difference of each interval in the first geological exploration data, and merging the intervals in the first geological exploration data according to the possibility of adding white noise to each interval in the first geological exploration data to obtain a plurality of intervals after the first geological exploration data are merged;
marking the combined intervals as marked intervals, and marking the endpoints of the divided marked intervals as marked points;
decomposing the geological waves corresponding to the first geological exploration data, the geological waves corresponding to the second geological exploration data and the geological waves corresponding to the third geological exploration data to obtain a plurality of component waves of each geological wave;
dividing the intervals of each component wave according to the marking points to obtain a plurality of intervals of each component wave; obtaining average Euclidean distance between the component waves according to the data in the component waves, and obtaining average Euclidean distance between the sections according to the data in the sections;
obtaining the influence degree of noise on each interval in the first geological exploration data according to the average Euclidean distance between the component waves and the average Euclidean distance between the intervals;
obtaining the degree of adding white noise in each interval according to the possibility of adding white noise in each interval in the first geological exploration data and the influence degree of noise on each interval;
the storage management module corrects the first geological exploration data according to the degree of adding white noise in each interval to obtain corrected first geological exploration data; and then storing and managing the corrected geological exploration data.
2. The system for collecting and managing carrier communication transmission information according to claim 1, wherein the dividing the geological wave corresponding to the first geological exploration data into a plurality of intervals comprises:
obtaining extreme points in geological waves corresponding to the first geological exploration data, wherein the extreme points comprise maximum points and minimum points; and dividing the geological exploration data into intervals according to the extreme points in the geological waves corresponding to the first geological exploration data.
3. The carrier communication transmission information collection and management system according to claim 1, wherein the obtaining the possibility of adding white noise to each interval according to the time length and the data distribution difference of each interval in the first geological exploration data, and the merging the intervals in the first geological exploration data according to the possibility of adding white noise to each interval in the first geological exploration data to obtain a plurality of intervals after the merging of the first geological exploration data includes:
the formula for the probability of adding white noise per interval is:
in the method, in the process of the invention,indicates the time length of the ith interval, +.>Represents the time length of the (i+1) -th interval, < >>Indicates the time length of the i-1 th interval, < >>Representing the difference of data distribution between the ith zone and the (i-1) th zone, +.>Data distribution difference representing the i-th section and the i+1th section, +.>Indicating the possibility of adding white noise in the ith interval,/->An exponential function that is based on a natural constant;
when (when)When the white noise is larger than the preset threshold A, white noise is required to be added in the ith interval; when->When the value is smaller than or equal to a preset threshold A, the ith interval needs to be combined; and merging all adjacent sections needing to be merged to obtain a plurality of sections after merging.
4. A carrier communication transmission information acquisition and management system according to claim 3, wherein the method for acquiring the data distribution difference comprises:
the formula of the data distribution difference is:
in the method, in the process of the invention,represents the ithData distribution characteristics of interval->The data distribution characteristics of the i-1 th interval are represented, and the result value obtained by subtracting the minimum value from the maximum value of each interval is taken as the data distribution characteristics of the interval.
5. The carrier communication transmission information acquisition and management system according to claim 1, wherein the decomposing the geological wave corresponding to the first geological exploration data, the geological wave corresponding to the second geological exploration data, and the wave corresponding to the third geological exploration data to obtain a plurality of component waves of each geological wave comprises:
and decomposing the geological wave corresponding to the first geological exploration data, the geological wave corresponding to the second geological exploration data and the wave corresponding to the third geological exploration data by using an ICA algorithm to obtain a plurality of component waves of each geological wave.
6. The system for collecting and managing carrier communication transmission information according to claim 1, wherein the dividing the intervals of each component wave according to the mark points to obtain a plurality of intervals of each component wave comprises:
and dividing the interval of each component wave according to the position determined by the mark point.
7. The system for collecting and managing carrier communication transmission information according to claim 1, wherein the step of obtaining the average euclidean distance between the component waves from the data in the component waves and obtaining the average euclidean distance between the sections from the data in the sections comprises:
acquiring two data of two component waves at the same moment, calculating the difference between the two data at the same moment, and recording the difference as moment data difference; then calculating the average value of the data difference of all moments of the two component waves to obtain the average Euclidean distance between the two component waves;
acquiring two data at the same time in the same position interval, calculating the time data difference between the two data at the same time, and calculating the average value of all the time data differences of the two intervals to obtain the average Euclidean distance between the two intervals.
8. The system for collecting and managing carrier communication transmission information according to claim 1, wherein the obtaining the influence degree of noise on each section in the first geological exploration data according to the average euclidean distance between the component waves and the average euclidean distance between the sections comprises:
recording all the component waves after the geologic waves corresponding to the first geological exploration data are decomposed as target component waves; recording all the component waves after the decomposition of the geological waves corresponding to the second geological exploration data and all the component waves after the decomposition of the geological waves corresponding to the third geological exploration data as undetermined component waves;
the formula of the influence degree of noise on each section is:
in the method, in the process of the invention,representing the average Euclidean distance between the jth target component wave and the undetermined component wave,/>Representing the average Euclidean distance between the v interval of the j-th target component wave and the v interval of the component wave to be determined,/>Representing a minimum function, k representing the number of component waves after decomposition of the geologic wave corresponding to each geologic survey data, +.>Representing a linear normalization function, ++>Indicating the extent to which the v-th interval is affected by noise.
9. The system for collecting and managing carrier communication transmission information according to claim 1, wherein the obtaining the white noise adding degree of each section according to the white noise adding possibility of each section and the noise influence degree of each section in the first geological exploration data comprises:
the method for obtaining the degree of adding white noise in each interval comprises the following steps:
in the method, in the process of the invention,indicating the degree to which the v-th interval of the first geological survey data is affected by noise, +.>Representing the likelihood of adding white noise to the v-th interval of the first geological survey data,/->Representing the degree to which the v-th interval of the first geological survey data adds white noise.
10. The carrier communication transmission information acquisition and management system according to claim 1, wherein the method for acquiring the corrected first geological exploration data comprises the following steps:
correcting the white noise added Gaussian model through the degree of adding white noise into each interval of the first geological exploration data, wherein the correction is specifically as follows: obtaining random numbers in Gaussian distribution according to the mean value and standard deviation of the first geological exploration data, obtaining random numbers corresponding to each time data point, multiplying the random numbers corresponding to each time data point by the white noise adding degree of the interval to which the time data point belongs to obtain data to which white noise needs to be added of each time data point of each interval after correction, sequentially obtaining data after white noise is added to the first geological exploration data corresponding to the first geological exploration wave, and recording the data as corrected geological exploration data; and then storing and managing the corrected geological exploration data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311433493.3A CN117150226B (en) | 2023-11-01 | 2023-11-01 | Carrier communication transmission information acquisition management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311433493.3A CN117150226B (en) | 2023-11-01 | 2023-11-01 | Carrier communication transmission information acquisition management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117150226A CN117150226A (en) | 2023-12-01 |
| CN117150226B true CN117150226B (en) | 2024-01-09 |
Family
ID=88903189
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311433493.3A Active CN117150226B (en) | 2023-11-01 | 2023-11-01 | Carrier communication transmission information acquisition management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117150226B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2010129261A (en) * | 2010-07-14 | 2012-01-20 | Евгений Васильевич Биряльцев (RU) | METHOD OF GEOLOGICAL EXPLORATION |
| CN116127287A (en) * | 2023-02-28 | 2023-05-16 | 李红立 | Noise reduction method for resistivity method exploration signals |
| CN116203646A (en) * | 2023-05-04 | 2023-06-02 | 山东省地质测绘院 | Exploration data processing system for determining geological resource quantity |
| CN116842326A (en) * | 2023-08-30 | 2023-10-03 | 灌南县北陈集动物防疫检疫所 | Livestock-raising water quality monitoring system based on optical means |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111551992B (en) * | 2020-05-12 | 2021-02-26 | 中国科学院地质与地球物理研究所 | Rock reservoir structure characterization method and device, computer-readable storage medium and electronic equipment |
-
2023
- 2023-11-01 CN CN202311433493.3A patent/CN117150226B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2010129261A (en) * | 2010-07-14 | 2012-01-20 | Евгений Васильевич Биряльцев (RU) | METHOD OF GEOLOGICAL EXPLORATION |
| CN116127287A (en) * | 2023-02-28 | 2023-05-16 | 李红立 | Noise reduction method for resistivity method exploration signals |
| CN116203646A (en) * | 2023-05-04 | 2023-06-02 | 山东省地质测绘院 | Exploration data processing system for determining geological resource quantity |
| CN116842326A (en) * | 2023-08-30 | 2023-10-03 | 灌南县北陈集动物防疫检疫所 | Livestock-raising water quality monitoring system based on optical means |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117150226A (en) | 2023-12-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105429719B (en) | Based on power spectrum and multi-scale wavelet transformation analysis high reject signal detection method | |
| CN109617631B (en) | Adaptive receiving method of reconnaissance system based on digital channelized instantaneous parameter measurement | |
| CN111985349B (en) | Classification recognition method and system for radar received signal types | |
| Jeong et al. | Spectrogram-based automatic modulation recognition using convolutional neural network | |
| Li et al. | A deep convolutional network for multitype signal detection and classification in spectrogram | |
| CN113259288A (en) | Underwater acoustic communication modulation mode identification method based on feature fusion and lightweight hybrid neural network | |
| Li | A new robust signal recognition approach based on holder cloud features under varying SNR environment | |
| CN117150226B (en) | Carrier communication transmission information acquisition management system | |
| CN114757224A (en) | Specific radiation source identification method based on continuous learning and combined feature extraction | |
| CN108535686B (en) | Time difference positioning method for cutting off broadband linear frequency modulation signal | |
| CN113177097B (en) | Track start judging method based on attribute clustering and space-time constraint | |
| CN116842410B (en) | Intelligent helmet antitheft management method and system based on dynamic perception | |
| CN107765259B (en) | Power transmission line laser ranging signal denoising method based on lifting wavelet improved threshold | |
| CN111427030B (en) | Underwater acoustic signal modulation and processing method for positioning underwater robot | |
| CN116506273A (en) | Novel MPSK modulation signal identification and classification method | |
| CN115994845A (en) | Mountain water treatment supervision method and system based on Internet | |
| CN115833991A (en) | Intelligent interference method for symbiotic radio | |
| CN112505641B (en) | Radar interference signal identification method based on characteristic parameter extraction | |
| CN115219991A (en) | Biphase coding modulation signal identification method based on Hilbert transform | |
| US11394415B2 (en) | System and method for achieving a clean separation of signal and noise | |
| CN116166936A (en) | Radar signal modulation type identification method based on wavelet transformation phase mutation detection | |
| Wang et al. | Automatic jamming modulation classification exploiting convolutional neural network for cognitive radar | |
| CN104753842B (en) | The signal modulation mode recognition methods differentiated based on peak | |
| CN113242201A (en) | Wireless signal enhanced demodulation method and system based on generation classification network | |
| CN108318857B (en) | Passive positioning method for multiple non-cooperative emission sources based on fractional Fourier transform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |