Space particle parameter monitoring method and device based on plasma detector

Abstract

The present invention provides a method and device for monitoring space particle parameters based on a plasma detector, relating to the field of plasma detection technology. The method comprises: utilizing a detection module of a plasma detector to obtain three-dimensional distribution data of multiple space particles in a target space within a single scanning cycle; utilizing a processing module of the plasma detector to correct the three-dimensional distribution data; calculating characteristic parameters of each space particle within the scanning cycle based on the corrected three-dimensional distribution data; determining the state identification results of each space particle based on multiple particle number densities of each space particle detected within multiple consecutive scanning cycles; compressing the three-dimensional distribution data and characteristic parameters of abnormal space particles according to preset rules, and transmitting the compressed three-dimensional distribution data and compressed characteristic parameters to a control center. The present invention improves the transmission efficiency of data transmitted from the plasma detector to the control center.

Description

Technical Field

[0001] The present invention relates to the field of plasma detection technology, and more specifically, to a method and device for monitoring space particle parameters based on a plasma detector. Background Art

[0002] At different times, parameters such as the types, number flux, and energy spectrum of space particles change. Therefore, analyzing plasma data collected by plasma detectors in the space environment is of great significance for understanding the impact of solar activity on the space environment.

[0003] In the existing technology, the number of raw particle number flux data of space particles in the space environment collected by a plasma detector in one scanning cycle can usually reach thousands. Some of these raw particle number flux data are invalid data not needed for scientific research. If all of these raw particle number flux data are sent directly to the control center, it will waste the data transmission resources of the plasma detector. Summary of the Invention

[0004] In view of this, the present invention provides a method and device for monitoring space particle parameters based on a plasma detector.

[0005] One aspect of the present invention provides a method for monitoring space particle parameters based on a plasma detector. The method comprises: utilizing a detection module of the plasma detector to acquire three-dimensional distribution data of each of a plurality of space particles in a target space within a single scanning cycle; the three-dimensional distribution data comprises particle number fluxes of the plurality of space particles collected at respective detection energies output by the detection module in a three-dimensional coordinate system; utilizing a processing module of the plasma detector to correct the three-dimensional distribution data to obtain corrected three-dimensional distribution data; calculating characteristic parameters of each of the space particles within the scanning cycle based on the corrected three-dimensional distribution data; the characteristic parameters comprising particle number density; determining a state identification result for each space particle based on the plurality of particle number densities of each of the space particles detected within a plurality of consecutive scanning cycles; and, if the state identification results of the plurality of space particles in the target space all indicate that the space particles are in an abnormal state, extracting three-dimensional particle distribution data of any abnormal space particle in the abnormal state from the corrected three-dimensional distribution data; compressing the three-dimensional particle distribution data and the characteristic parameters of the abnormal space particle according to preset rules, and transmitting the compressed three-dimensional particle distribution data and the compressed characteristic parameters to a control center.

[0006] According to an embodiment of the present invention, the process of compressing the three-dimensional particle distribution data of the above-mentioned abnormal space particles according to preset rules includes: determining the maximum particle number flux value and the average particle number flux value in the three-dimensional particle distribution data of the above-mentioned abnormal space particles; when the difference between the above-mentioned maximum particle number flux value and the maximum value threshold value is greater than or equal to the above-mentioned particle number flux average value, compressing the above-mentioned three-dimensional particle distribution data to obtain new three-dimensional particle distribution data; determining the new maximum particle number flux value and the new average particle number flux value in the above-mentioned new three-dimensional particle distribution data, and when the difference between the above-mentioned maximum particle number flux value and the maximum value threshold value is greater than or equal to the above-mentioned particle number flux average value, iteratively compressing the above-mentioned new three-dimensional particle distribution data; when the difference between the above-mentioned maximum particle number flux value and the above-mentioned maximum value threshold value is greater than or equal to the above-mentioned particle number flux average value, determining the above-mentioned three-dimensional particle distribution data to be compressed three-dimensional distribution data.

[0007] According to an embodiment of the present invention, the above-mentioned correction of the three-dimensional distribution data to obtain the corrected three-dimensional distribution data includes: obtaining the flight time of each of the multiple space particles in the detection channel entering the above-mentioned detection module; comparing the flight time of the multiple space particles with the flight time threshold of the preset category of space particles to determine the type of each space particle; and correcting the three-dimensional distribution data of the corresponding type of space particles based on the attribute information of the detection energy of the above-mentioned plasma detector and the mass of each type of the above-mentioned space particles.

[0008] According to an embodiment of the present invention, the characteristic parameters of each of the above-mentioned space particles in the above-mentioned scanning period are calculated based on the above-mentioned corrected three-dimensional distribution data, including: determining the speed of each space particle at each detection energy based on the mass of each space particle; determining the particle number flux corresponding to each pitch angle at each azimuth angle of the above-mentioned detection module at each above-mentioned detection energy based on the above-mentioned corrected three-dimensional distribution data; determining the particle number flux at each detection energy based on the particle number flux corresponding to each pitch angle; and obtaining the particle number density of each of the above-mentioned space particles in the above-mentioned scanning period based on the ratio of the particle number flux at each detection energy to the corresponding speed of each of the above-mentioned space particles at each above-mentioned detection energy.

[0009] According to an embodiment of the present invention, the state identification result of each spatial particle is determined based on the multiple particle number densities of each spatial particle detected in the multiple consecutive scanning cycles, including: taking the particle number density of each spatial particle in the multiple consecutive scanning cycles as a sample group, applying a non-parametric test method, and calculating the detection statistic of each sample group of each spatial particle; based on the change in the detection statistics of two adjacent sample groups of each spatial particle and a preset threshold, determining the state identification result of each spatial particle.

[0010] According to an embodiment of the present invention, the space particle parameter monitoring method also includes: when the state identification results of each of the multiple space particles in the above-mentioned target space indicate the existence of space particles in a normal state, extracting space particle distribution data from the above-mentioned corrected three-dimensional distribution data in a predetermined manner, compressing the above-mentioned space particle distribution data according to the above-mentioned preset rules, and transmitting the compressed space particle distribution data to the control center; the above-mentioned space particle distribution data includes the particle number flux of at least one space particle corresponding to each of the above-mentioned detection energies in a two-dimensional coordinate system or a one-dimensional coordinate system.

[0011] According to an embodiment of the present invention, the above-mentioned space particle parameter monitoring method also includes: applying the Monte Carlo method to simulate and generate first simulated three-dimensional distribution data when all of the above-mentioned space particles are in an abnormal state and second simulated three-dimensional distribution data when one of the above-mentioned space particles is in a normal state; calculating the Mann-Whitney statistic based on the above-mentioned first simulated three-dimensional distribution data and the above-mentioned second simulated three-dimensional distribution data; determining the extreme value of the above-mentioned Mann-Whitney statistic, and using the above-mentioned extreme value as the above-mentioned preset threshold.

[0012] Another aspect of the present invention provides a space particle parameter monitoring device, the space particle parameter monitoring device comprising: a data acquisition module for acquiring three-dimensional distribution data of each of a plurality of space particles in a target space within a single scanning cycle using a detection module of a plasma detector; the three-dimensional distribution data comprising a particle number flux of a plurality of space particles collected at each detection energy output by the detection module in a three-dimensional coordinate system; a data correction module for correcting the three-dimensional distribution data using a processing module of the plasma detector to obtain corrected three-dimensional distribution data; a parameter calculation module for calculating characteristic parameters of each of the space particles within the scanning cycle based on the corrected three-dimensional distribution data; the characteristic parameters The number includes particle number density; a state determination module is used to determine the state identification result of each space particle based on the multiple particle number densities of each space particle detected in multiple consecutive scanning cycles; a data extraction module is used to extract the particle three-dimensional distribution data of any abnormal space particle in an abnormal state from the above-mentioned corrected three-dimensional distribution data when the state identification results of each of the multiple space particles in the above-mentioned target space all indicate that the space particles are in an abnormal state; a data compression module is used to compress the particle three-dimensional distribution data of the above-mentioned abnormal space particles and the characteristic parameters of the above-mentioned abnormal space particles according to preset rules, and transmit the compressed particle three-dimensional distribution data and the compressed characteristic parameters to the control center.

[0013] Another aspect of the present invention provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned method.

[0014] Another aspect of the present invention provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the above method when executed.

[0015] According to an embodiment of the present invention, a plasma detector processing module is used to correct the three-dimensional distribution data, thereby overcoming the impact of high-energy particles carried by space radiation on the accuracy and effectiveness of the three-dimensional distribution data of space particles, and removing noise data, thereby improving the quality of the three-dimensional distribution data of space particles. The characteristic parameters of each space particle in the scanning cycle are calculated based on the corrected three-dimensional distribution data, and relatively more accurate characteristic parameters of the space particles can be obtained; the state identification results of each space particle determined based on the characteristic parameters are also relatively more accurate, and the operating parameters of the plasma detector can be adjusted based on the state identification results of each space particle, so that the plasma detector can receive more accurate three-dimensional distribution data of space particles; by extracting the particle three-dimensional distribution data of any abnormal space particle in an abnormal state from the corrected three-dimensional distribution data, and compressing the particle three-dimensional distribution data and characteristic parameters of the abnormal space particle according to preset rules, and transmitting the compressed particle three-dimensional distribution data and compressed characteristic parameters to the control center, the data transmitted to the control center are all valid data, and the control center can timely understand the environment of the target space based on the valid data, which is of great significance for understanding the impact of solar activity on the space environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0017] Figure 1 A schematic diagram of an exemplary system architecture of the plasma detector-based space particle parameter monitoring method and device to which the present invention can be applied is shown.

[0018] Figure 2 A flow chart of a method for monitoring space particle parameters based on a plasma detector according to an embodiment of the present invention is shown.

[0019] Figure 3 A flow chart of a method for compressing three-dimensional particle distribution data of abnormal space particles according to preset rules is shown according to an embodiment of the present invention.

[0020] Figure 4 A block diagram of a space particle parameter monitoring device according to an embodiment of the present invention is shown.

[0021] Figure 5 The block diagram shows an electronic device suitable for implementing a method for monitoring space particle parameters based on a plasma detector according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concept of the present invention.

[0023] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the presence of the features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, steps, operations or components.

[0024] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0025] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0026] In the embodiments of the present invention, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of all data involved (including, but not limited to, user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken to prevent unauthorized access to user personal information data and maintain the security of user personal information and network security.

[0027] In the embodiment of the present invention, the user's authorization or consent is obtained before obtaining or collecting the user's personal information.

[0028] In the field of plasma detection technology, due to the influence of solar activity and other factors, parameters such as the types of space particles, particle number flux, and particle energy spectrum of space plasmas can change significantly over time. Therefore, analyzing the particle data collected by plasma detectors in the space environment is of great significance for understanding the impact of solar activity on the space environment.

[0029] Plasma detectors typically utilize a field-programmable gate array (FPGA)-based data processing system. By receiving and preprocessing the three-dimensional distribution data of space particles transmitted by the plasma detector, they can infer information such as the particle species distribution, velocity distribution, and energy distribution. During a single spin cycle of the spacecraft, the plasma detector must count samples of each detected energy, azimuth, and polar angle, typically collecting thousands of samples in a single measurement. Therefore, quantitative analysis of the three-dimensional distribution data collected by the plasma detector can extract key features, obtain valid data, and compress the data transmission volume.

[0030] Currently, plasma detectors in China typically process initial count samples by sending them via serial ports to a satellite platform host computer for data analysis. Extracting the particle characteristics of the initial sample within the data processing system is not yet possible. On the other hand, a commonly used method for analyzing data from the initial sample is to generate a velocity distribution function for a specific particle type, which requires converting the three-dimensional distribution data into a function of spatial density with respect to velocity and direction. However, this analysis method lacks environmental exploration and interaction. When the spatial environment in which the particles are located is abnormal, it is difficult to adjust the plasma detector's operating mode in a timely manner to ensure that the adjusted operating mode collects valid particle data.

[0031] An embodiment of the present invention provides a method for monitoring spatial particle parameters based on a plasma detector, comprising: utilizing a detection module of the plasma detector to acquire three-dimensional distribution data of multiple spatial particles in a target space within a single scanning cycle; the three-dimensional distribution data includes particle number fluxes of the multiple spatial particles collected at various detection energies output by the detection module in a three-dimensional coordinate system; utilizing a processing module of the plasma detector to correct the three-dimensional distribution data to obtain corrected three-dimensional distribution data; calculating characteristic parameters of each spatial particle within the scanning cycle based on the corrected three-dimensional distribution data; the characteristic parameters include particle number density; determining a state identification result of each spatial particle based on the multiple particle number densities of each spatial particle detected within multiple consecutive scanning cycles; extracting three-dimensional particle distribution data of any abnormal spatial particle in the abnormal state from the corrected three-dimensional distribution data when the identification results of each of the multiple spatial particles in the target space indicate that the multiple spatial particles are all in an abnormal state; compressing the three-dimensional particle distribution data and the characteristic parameters of the abnormal spatial particle according to preset rules, and transmitting the compressed three-dimensional particle distribution data and the compressed characteristic parameters to a control center.

[0032] According to an embodiment of the present invention, a plasma detector processing module is used to correct the three-dimensional distribution data, thereby overcoming the impact of high-energy particles carried by space radiation on the accuracy and effectiveness of the three-dimensional distribution data of space particles, and removing noise data, thereby improving the quality of the three-dimensional distribution data of space particles. The characteristic parameters of each space particle in the scanning cycle are calculated based on the corrected three-dimensional distribution data, and relatively more accurate characteristic parameters of the space particles can be obtained; the state identification results of each space particle determined based on the characteristic parameters are also relatively more accurate, and the operating parameters of the plasma detector can be adjusted based on the state identification results of each space particle, so that the plasma detector can receive more accurate three-dimensional distribution data of space particles; by extracting the particle three-dimensional distribution data of any abnormal space particle in an abnormal state from the corrected three-dimensional distribution data, and compressing the particle three-dimensional distribution data and characteristic parameters of the abnormal space particle according to preset rules, and transmitting the compressed particle three-dimensional distribution data and compressed characteristic parameters to the control center, the data transmitted to the control center are all valid data, and the control center can timely understand the environment of the target space based on the valid data, which is of great significance for understanding the impact of solar activity on the space environment.

[0033] Figure 1 FIG1 shows an exemplary system architecture 100 to which the method and apparatus for monitoring space particle parameters based on a plasma detector of the present invention can be applied. It should be noted that: Figure 1The examples shown are merely examples of system architectures to which the embodiments of the present invention may be applied, to help those skilled in the art understand the technical content of the present invention, but do not mean that the embodiments of the present invention cannot be used in other devices, systems, environments or scenarios.

[0034] like Figure 1 As shown, the system architecture 100 according to this embodiment may include a plasma detector 101, a control center 103, and a communication network 102. The plasma detector 101 includes a detection module 1011 and a processing module 1012. The communication network 102 is used to provide a communication link between the processing module 1012 and the control center 103. The network can include various connection types, such as wired and / or wireless communication links, and can also be connected via serial communication.

[0035] The detection module 1011 may include a sensor module and a front-end amplification circuit module. The sensor module may obtain the signal of space particles hitting the sensor after being captured. The front-end amplification circuit module may amplify the signal and convert it into a digital signal, and transmit the digital signal to the processing module 1012.

[0036] The user can use the control center 103 to interact with the processing module 1012 via the communication network 102 to receive or send messages, etc. The control center 103 can be installed with various communication client applications, such as web browser applications, serial communication input interfaces, etc. (only for example).

[0037] The control center 103 may be any electronic device having a display screen and supporting web browsing, including but not limited to a smart phone, a tablet computer, a laptop computer, a desktop computer, and the like.

[0038] It should be noted that the method for monitoring spatial particle parameters of a plasma detector provided in an embodiment of the present invention can generally be executed by the processing module 1012. Accordingly, the device for monitoring spatial particle parameters of a plasma detector provided in an embodiment of the present invention can generally be disposed in the processing module 1012. The processing module 1012 can be a controller or processor, such as an FPGA, a single-chip microcomputer, or a microprocessor. For example, the three-dimensional distribution data can be stored in the processing module 1012, or on an external storage device and imported into the processing module 1012.

[0039] Figure 2 A flow chart of a method for monitoring space particle parameters based on a plasma detector according to an embodiment of the present invention is shown.

[0040] like Figure 2 As shown, the method includes operations S201 to S206.

[0041] In operation S201, the detection module of the plasma detector is used to obtain three-dimensional distribution data of multiple spatial particles in the target space within a single scanning cycle; the three-dimensional distribution data includes the particle number flux of multiple spatial particles collected at each detection energy output by the detection module in a three-dimensional coordinate system.

[0042] In operation S202 , the three-dimensional distribution data is corrected using a processing module of the plasma detector to obtain corrected three-dimensional distribution data.

[0043] In operation S203, characteristic parameters of each spatial particle in the scanning period are calculated based on the corrected three-dimensional distribution data; the characteristic parameters include particle number density.

[0044] In operation S204 , a state recognition result of each spatial particle is determined based on a plurality of particle number densities of each spatial particle detected in a plurality of consecutive scanning periods.

[0045] In operation S205 , when the state identification results of the plurality of spatial particles in the target space all indicate that the spatial particles are in an abnormal state, the three-dimensional particle distribution data of any abnormal spatial particle in the abnormal state is extracted from the corrected three-dimensional distribution data.

[0046] In operation S206 , the three-dimensional particle distribution data and characteristic parameters of the abnormal space particles are compressed according to a preset rule, and the compressed three-dimensional particle distribution data and the compressed characteristic parameters are transmitted to the control center.

[0047] According to an embodiment of the present invention, in operation S201, the target space is the space detected by the plasma detector. The detection module of the plasma detector is a module in the plasma detector used to capture space particles. For example, the detection module can be a sensor of the plasma detector. The detection module of the plasma detector continuously scans the target space according to a preset scanning period to capture space particles in the target space. The plasma detector applies a preset range of detection energy in each scanning period, and the detection energy of the preset range increases from the minimum detection energy of the preset range to the maximum energy of the preset range according to a preset rule in each scanning period. During this period, the detection module of the plasma detector captures multiple three-dimensional distribution data of space particles in the target space of the plasma detector at different azimuth angles and different pitch angles. The three coordinate axes of the three-dimensional coordinate system represent the detection energy, azimuth angle and pitch angle, respectively.

[0048] According to an embodiment of the present invention, in operation S202, the three-dimensional distribution data is corrected to obtain the corrected three-dimensional distribution data, including: obtaining the flight time of each of the multiple space particles in the detection channel entering the detection module; comparing the flight time of the multiple space particles with the flight time threshold of the preset category of space particles to determine the type of each space particle; and correcting the three-dimensional distribution data of the corresponding type of space particles based on the attribute information of the detection energy of the plasma detector and the mass of each type of space particles.

[0049] According to an embodiment of the present invention, during the operation of the plasma detector, the plasma detector usually captures the three-dimensional distribution data of multiple space particles and the flight time of each of the multiple space particles in the detection channel entering the detection module. The present invention takes the four particles with the highest content in the space environment, H+, He++, O+, and He+, as an example. According to the flight time of each of the multiple space particles in the detection channel entering the detection module, it is determined which of the four particles H+, He++, O+, and He+ the multiple space particles entering the detection channel are. For example, a lookup table is stored in the FPGA of the processing module of the plasma detector. The lookup table sets the corresponding relationship between different types of space particles and flight time, so that the mass m of the multiple space particles can be determined.

[0050] According to an embodiment of the present invention, the attribute information of the plasma detector includes the particle number flux of the space particles at a fixed step center energy, the detection energy resolution of the plasma detector, the geometric factor, the acquisition efficiency, and the total time of a scanning cycle. For each energy step i corresponding to the detection energy of the plasma detector, the energy step i has a fixed step center energy E i , the fixed step center energy E i Make the particle number flux of space particles at a fixed step center energy E i The change in ∆E i Based on this, the collection efficiency є of the plasma detector at energy step i is used. i The corrected particle number flux is calculated by ∆t, the acquisition time. The geometric factor G is calculated by calibrating the simulated plasma detector on the ground:

[0051] (1)

[0052] Where S is the plasma detector's entrance receiving area, Ω is the receiving solid angle, an inherent property of the plasma detector measured through calibration tests, ΔE / E is the plasma detector's detection energy resolution, η is the detection efficiency, and ΔE is the change in the number flux of spatial particles at a fixed step center energy, E. A correction factor is determined based on the plasma detector's properties and the mass of the spatial particles. This correction factor is then applied to the 3D distribution data to produce the corrected 3D distribution data.

[0053] The correction factor can be expressed as:

[0054] (2)

[0055] in, is the correction coefficient, and the three-dimensional distribution data before correction is multiplied by the corresponding correction coefficient to obtain the corrected three-dimensional distribution data of the corresponding spatial particles. t is the total time of a scanning cycle, is the geometric factor at energy step i and azimuth angle j, m is the mass of the space particle, E i is the fixed step center energy.

[0056] According to an embodiment of the present invention, since there are high-energy particles carried by space radiation in the target space, and the high-energy particles will affect the three-dimensional distribution data of the space particles in the target space, and the detection module of the plasma detector will also collect invalid noise data, it is necessary to correct the three-dimensional distribution data to obtain more accurate corrected three-dimensional distribution data.

[0057] According to an embodiment of the present invention, in operation S203, the characteristic parameters also include body velocity, pressure tensor, and heat flux tensor; the characteristic parameters are obtained through moment calculation, and the result of the moment calculation is used in the form of an accumulator instead of an integral, which can greatly simplify the calculation and obtain the accumulated moment within each clock cycle, with stronger real-time performance. The moment calculation has the following relationship with the three-dimensional distribution data of the plasma detector:

[0058] (3)

[0059] in, is the J-order moment of the three-dimensional distribution data, m is the mass of the space particle, k is the scale factor of the plasma detector, To detect the particle number flux with energy E, azimuth angle α, and elevation angle β, To detect the velocity of a particle with energy E, azimuth angle α, and elevation angle β, is the integral in mathematical notation, for speed Perform integration, and J represents the moment.

[0060] According to an embodiment of the present invention, the particle number density of each spatial particle in the scanning period is calculated based on the corrected three-dimensional distribution data, including: determining the speed of each spatial particle at each detection energy based on the mass of each spatial particle; determining the particle number flux corresponding to each pitch angle at each azimuth angle of the detection module at each detection energy based on the corrected three-dimensional distribution data; determining the particle number flux at each detection energy based on the particle number flux corresponding to each pitch angle; and obtaining the particle number density of each spatial particle in the scanning period based on the ratio of the particle number flux at each detection energy to the speed of each spatial particle at each detection energy.

[0061] According to an embodiment of the present invention, the calculation formula for particle number density is:

[0062] (4)

[0063] (5)

[0064] Among them, C ijk Characterizes the three-dimensional distribution data of the detection energy i at azimuth angle j and elevation angle k, v i Characterizes the speed of each space particle under the detection energy i, m is the mass of the space particle, E i is the energy value of the detection energy i.

[0065] The calculation formula of particle number density is to calculate the J-order moment of three-dimensional distribution data. The zero-order moment is obtained, and the body velocity is calculated by the J-order moment of the three-dimensional distribution data. The pressure tensor is obtained by calculating the J-order moment of the three-dimensional distribution data. The heat flux tensor is obtained by calculating the J-order moment of the three-dimensional distribution data. The third moment of .

[0066] The formula for calculating body velocity is:

[0067] (6)

[0068] (7)

[0069] (8)

[0070] in, is the azimuth angle of the space particle with detected energy i, is the pitch angle of the space particle; n is the particle number density, V x is the velocity of the space particle in the X-axis direction, V y is the velocity of the space particle in the Y-axis direction, V zis the speed of the space particle in the Z-axis direction; where the X-axis represents the horizontal direction, the Y-axis represents the perpendicular direction to the X-axis in the same plane, and the Z-axis represents the perpendicular direction to the plane where the X-axis and Y-axis are located.

[0071] The pressure tensor calculation formula is:

[0072] (9)

[0073] (10)

[0074] (11)

[0075] (12)

[0076] (13)

[0077] (14)

[0078] Among them, P xx P represents the pressure tensor in the x-direction acting on the surface normal to the x-direction. yy P represents the pressure tensor in the y direction acting on the surface normal to the y direction. zz P represents the pressure tensor in the z direction acting on the surface normal to the z direction. xy represents the pressure tensor in the y direction acting on the surface normal to the x direction, P yz P represents the pressure tensor in the z direction acting on the surface normal to the y direction, zx represents the pressure tensor in the x-direction acting on a surface normal to the z-direction.

[0079] The heat flux tensor calculation formula is:

[0080] (15)

[0081] (16)

[0082] (17)

[0083] (18)

[0084] (19)

[0085] (20)

[0086] (twenty one)

[0087] (twenty two)

[0088] (twenty three)

[0089] (twenty four)

[0090] Among them, H xxx represents the heat flux tensor that is the coupling of the heat flow in the x direction and the velocity components of the particle in the x direction and the x direction; H xyy represents the heat flux tensor that is the coupling of the heat flow in the x-direction and the velocity components of the particle in the y-direction and the y-direction; H xzz represents the heat flux tensor that is the coupling of the heat flow in the x-direction and the velocity components of the particle in the z-direction and z-direction; H yyy represents the heat flux tensor that is the result of coupling the heat flow in the y direction and the velocity components of the particle in the y direction and the y direction; H yxx represents the heat flux tensor that is the result of coupling the heat flow in the y direction and the velocity components of the particle in the x and x directions; H yzz represents the heat flux tensor that is the result of coupling the heat flow in the y direction and the velocity components of the particle in the z and z directions; H zzz represents the heat flux tensor that is the coupling of the heat flow in the z direction and the velocity components of the particle in the z and z directions; H zxx represents the heat flux tensor that is the result of coupling the heat flow in the z direction and the velocity components of the particle in the x and x directions; H zyy represents the heat flux tensor that is the result of coupling the heat flow in the z direction and the velocity components of the particle in the y and y directions; H xyz represents the heat flux tensor that represents the heat flow in the x-direction coupled with the particle velocity components in the y- and z-directions.

[0091] According to an embodiment of the present invention, by applying the corrected three-dimensional distribution data, the calculated particle number density of particles in each space within the scanning period can be relatively more accurate.

[0092] According to an embodiment of the present invention, in operation S204, the state identification result of each spatial particle is determined based on multiple particle number densities of each spatial particle detected in multiple consecutive scanning cycles, including: taking the particle number density of each spatial particle in multiple consecutive scanning cycles as a sample group, applying a non-parametric test method, and calculating the detection statistic of each sample group of each spatial particle; based on the change in the detection statistics of two adjacent sample groups of each spatial particle and a preset threshold, determining the state identification result of each spatial particle.

[0093] According to an embodiment of the present invention, based on the characteristic parameter particle number density of the space particles, sequence data consisting of corresponding characteristic parameters within a period of time is obtained, and the period of time refers to a plurality of consecutive scanning cycles. A mathematical model for detecting the position of environmental mutations is established based on the sequence data of the space particles to achieve a response to the space particle environment. The mathematical model for detecting the position of environmental mutations can be represented by a probability density function. When the particle environment of the space particles changes, the sequence data of the particle number density of the space particles obtained by the plasma detector will undergo changes in mathematical properties such as statistics at a certain point in time. A relevant mathematical model is established to determine whether the particle number density has changed and the time point of the change.

[0094] Select the sequence data N of particle number density containing k spatial particles k , where k=i+j, and the sequence data of particle number density Obey the distribution , sequence data of particle number density Obey the distribution . Define an indicator function:

[0095] (25)

[0096] Among them, the indicator function Used to describe the degree of change in particle number density. According to the indicator function Multiple statistics can be obtained. When the particle number density changes, the statistics will increase or decrease to a certain extent. According to the changes in the statistics, the change information of the particle number density can be obtained.

[0097] According to the embodiment of the present invention, multiple statistical change thresholds can be set according to actual needs, and the multiple statistical change thresholds can be corresponding to multiple alarm thresholds, so as to set multiple thresholds of abnormal state levels for the particle number density of space particles to adapt to the dynamic space ion environment. When the value of the statistic exceeds the range defined by a certain alarm threshold, the sequence data is determined to be abnormal. The particle environment changes at a point in the statistic, and the change point is taken as the mutation point of the particle environment. The location of the mutation point, i.e., the time point of the change, is determined based on the scanning period corresponding to the extreme value of the calculated statistical change.

[0098] According to an embodiment of the present invention, the process of determining the preset threshold includes: applying the Monte Carlo method to simulate and generate first simulated three-dimensional distribution data when all spatial particles are in an abnormal state and second simulated three-dimensional distribution data when one of the spatial particles is in a normal state; calculating the Mann-Whitney statistic based on the first simulated three-dimensional distribution data and the second simulated three-dimensional distribution data; determining the extreme value of the Mann-Whitney statistic, and using the extreme value as the preset threshold.

[0099] According to an embodiment of the present invention, after determining the preset threshold, it is necessary to apply the Monte Carlo method to simulate and generate simulated three-dimensional distribution data when all spatial particles are in an abnormal state and simulated three-dimensional distribution data when one spatial particle is in a normal state. The preset threshold is verified and adjusted, and after multiple tests, a final preset threshold is determined. The accuracy of the final preset threshold in determining the situation where all spatial particles are in an abnormal state is higher than a preset accuracy value, which can be set according to actual conditions.

[0100] According to an embodiment of the present invention, the operating mode of the plasma detector is adjusted accordingly based on the state identification results of each spatial particle. For example, when the three-dimensional distribution number of spatial particles increases, the scanning time of the plasma detector is adjusted to shorten the scanning time. Therefore, the operating mode of the plasma detector can change according to the particle environment of the target space. In other words, when the three-dimensional distribution data of spatial particles changes, the time point at which the three-dimensional distribution data of spatial particles changes can be detected, and the operating parameters of the plasma detector can be adjusted at that time point.

[0101] According to an embodiment of the present invention, in operation S205, telemetry data packets of different formats are generated based on the importance of the three-dimensional distribution data. In actual work, four main formats of telemetry data packets are generated, including ion moment data packets, one-dimensional distribution data packets (i.e., energy distribution), two-dimensional data packets, and three-dimensional data packets. When the particle number flux in the space environment suddenly increases, based on different scientific needs, different particle three-dimensional data packets and ion moment data packets can be selected for transmission to the control center to extract more environmental ion information. The three-dimensional data packet includes the particle number flux corresponding to different detection energies, azimuths, and elevation angles, and can provide more comprehensive particle number flux information of space particles, while the ion moment data packet provides fast overall statistical data, which refers to the characteristic parameters of space particles. When the particle number flux in the space environment is relatively high, one-dimensional data packets or two-dimensional data packets can be sent, which can improve transmission efficiency, reduce the transmission of invalid data, and provide ion environment information.

[0102] Figure 3 A flow chart of a method for compressing three-dimensional particle distribution data of abnormal space particles according to preset rules is shown according to an embodiment of the present invention.

[0103] like Figure 3 As shown, the method includes operations S301 to S304.

[0104] In operation S301 , a maximum value and an average value of particle number flux in three-dimensional particle distribution data of abnormal spatial particles are determined.

[0105] In operation S302, it is determined whether the difference between the maximum value of the particle number flux and the maximum value threshold is greater than or equal to the average value of the particle number flux. When the difference between the maximum value of the particle number flux and the maximum value threshold is greater than or equal to the average value of the particle number flux, operation S303 is performed. When the difference between the maximum value of the particle number flux and the maximum value threshold is less than the average value of the particle number flux, operation S304 is performed.

[0106] In operation S303, the three-dimensional particle distribution data is compressed to obtain new three-dimensional particle distribution data. The process returns to operation S302 to continue, determining a new maximum particle number flux value and a new average particle number flux value in the new three-dimensional particle distribution data. When the difference between the maximum particle number flux value and the maximum value threshold value is greater than or equal to the average particle number flux value, the new three-dimensional particle distribution data is iteratively compressed.

[0107] In operation S304 , it is determined that the particle three-dimensional distribution data is compressed three-dimensional distribution data.

[0108] According to an embodiment of the present invention, when compressing ion moment data packets, one-dimensional distribution data packets (i.e., energy distribution data packets), two-dimensional data packets, and three-dimensional data packets, a discrete value evaluation method is used to determine whether the compressed data meets the requirements. Specifically:

[0109] Assume that the maximum value of the compressed data is , the average value of the current compressed data is , then: When , the currently compressed data is considered to be data that meets the transmission requirements, where N is the set discrete value factor. Used to represent the maximum value threshold.

[0110] When the currently compressed data does not meet When the compressed data is compressed, it is necessary to continue compressing the compressed data until the compressed data meets the requirements. This inequality.

[0111] According to an embodiment of the present invention, in operation S206, the three-dimensional distribution data of anomalous space particles, including mutation information, is packaged, compressed, and transmitted to a control center. Unlike conventional ground-based computers' central processing units (CPUs), FPGAs can perform real-time correction, calculation, abnormality determination, and compression of the three-dimensional distribution data, avoiding the scheduling and latency issues inherent in the ground-based CPU operating system. The FPGA helps the plasma detector determine the state of the space particle environment, identifying the state of the space particles. Based on this state identification, the FPGA switches operating modes, ensuring the proper functioning of the plasma detector system.

[0112] According to an embodiment of the present invention, in operation S206, when the compressed three-dimensional distribution data of particles and the compressed characteristic parameters are transmitted to the control center, different transmission rates are used for the compressed three-dimensional distribution data of particles and the compressed characteristic parameters according to the importance of the ion data. For example, since the detection of particles in space is more important for monitoring the particle environment of the target space, the fastest transmission speed is used to transmit the three-dimensional distribution data of particles and the compressed characteristic parameters during the actual transmission process. For another example, according to the abundance of the particle content in the detection space, He+ is set to be transmitted at the slowest transmission rate v0, He++ and O+ are transmitted at a medium speed v1, and H+ is transmitted at the fastest speed v2. The relationship between the commonly used transmission speeds is as follows: v2=2v1=4v0.

[0113] According to an embodiment of the present invention, the space particle parameter monitoring method also includes: when the state identification results of multiple space particles in the target space indicate the existence of space particles in a normal state, extracting space particle distribution data from the corrected three-dimensional distribution data in a predetermined manner, compressing the space particle distribution data according to preset rules, and transmitting the compressed space particle distribution data to a control center; the space particle distribution data includes the particle number flux of at least one space particle corresponding to each detection energy in a two-dimensional coordinate system or a one-dimensional coordinate system.

[0114] Figure 4 A block diagram of a space particle parameter monitoring device according to an embodiment of the present invention is shown.

[0115] like Figure 4 As shown, the space particle parameter monitoring device 400 includes a data acquisition module 410 , a data correction module 420 , a parameter calculation module 430 , a state determination module 440 , a data extraction module 450 and a data compression module 460 .

[0116] The data acquisition module 410 is used to use the detection module of the plasma detector to obtain the three-dimensional distribution data of multiple spatial particles in the target space within a single scanning cycle; the three-dimensional distribution data includes the particle number flux of multiple spatial particles collected at each detection energy output by the detection module in the three-dimensional coordinate system.

[0117] The data correction module 420 is used to correct the three-dimensional distribution data using the processing module of the plasma detector to obtain corrected three-dimensional distribution data.

[0118] The parameter calculation module 430 is used to calculate the characteristic parameters of each spatial particle in the scanning period according to the corrected three-dimensional distribution data; the characteristic parameters include particle number density.

[0119] The state determination module 440 is used to determine the state identification result of each spatial particle according to multiple particle number densities of each spatial particle detected in multiple consecutive scanning cycles.

[0120] The data extraction module 450 is used to extract the particle three-dimensional distribution data of any abnormal spatial particle in the abnormal state from the corrected three-dimensional distribution data when the state identification results of multiple spatial particles in the target space all indicate that the spatial particles are in an abnormal state.

[0121] The data compression module 460 is used to compress the three-dimensional particle distribution data and characteristic parameters of the abnormal space particles according to preset rules, and transmit the compressed three-dimensional particle distribution data and compressed characteristic parameters to the control center.

[0122] Any number of the modules, submodules, units, and subunits according to embodiments of the present invention, or at least part of the functionality of any number of these units, can be implemented in a single module. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present invention can be split into multiple modules for implementation. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present invention can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented in hardware or firmware using any other reasonable method of circuit integration or packaging, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or any appropriate combination of any of these. Alternatively, one or more of the modules, submodules, units, and subunits according to embodiments of the present invention can be at least partially implemented as a computer program module that, when executed, can perform the corresponding functionality.

[0123] For example, any number of the data acquisition module 410, the data correction module 420, the parameter calculation module 430, the state determination module 440, the data extraction module 450, and the data compression module 460 may be combined and implemented in a single module / unit / sub-unit, or any one of these modules / units / sub-units may be split into multiple modules / units / sub-units. Alternatively, at least part of the functionality of one or more of these modules / units / sub-units may be combined with at least part of the functionality of other modules / units / sub-units and implemented in a single module / unit / sub-unit. According to an embodiment of the present invention, at least one of the data acquisition module 410, the data correction module 420, the parameter calculation module 430, the state determination module 440, the data extraction module 450, and the data compression module 460 may be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or may be implemented in hardware or firmware by any other reasonable means of circuit integration or packaging, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, at least one of the data acquisition module 410, the data correction module 420, the parameter calculation module 430, the state determination module 440, the data extraction module 450, and the data compression module 460 may be at least partially implemented as a computer program module, which, when executed, may perform the corresponding function.

[0124] It should be noted that the space particle parameter monitoring device part in the embodiment of the present invention corresponds to the space particle parameter monitoring method part in the embodiment of the present invention. The description of the space particle parameter monitoring device part specifically refers to the space particle parameter monitoring method part, which will not be repeated here.

[0125] Figure 5 The block diagram shows an electronic device suitable for implementing a method for monitoring space particle parameters based on a plasma detector according to an embodiment of the present invention. Figure 5 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0126] like Figure 5As shown, an electronic device 500 according to an embodiment of the present invention includes a processor 501, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 502 or programs loaded from a storage unit 508 into a random access memory (RAM) 503. Processor 501 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or related chipsets, and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. Processor 501 may also include onboard memory for caching purposes. Processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0127] Various programs and data required for the operation of the electronic device 500 are stored in the RAM 503. The processor 501, ROM 502, and RAM 503 are connected to each other via a bus 504. The processor 501 executes the programs in the ROM 502 and / or RAM 503 to perform various operations according to the method flow of the embodiment of the present invention. It should be noted that the programs may also be stored in one or more memories other than the ROM 502 and RAM 503. The processor 501 may also execute the programs stored in the one or more memories to perform various operations according to the method flow of the embodiment of the present invention.

[0128] According to an embodiment of the present invention, electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to bus 504. Electronic device 500 may also include one or more of the following components connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 508 including a hard disk; and a communication section 509 including a network interface card such as a LAN card or modem. Communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. Removable media 511, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 510 as needed, so that computer programs read from the removable media can be installed into storage section 508 as needed.

[0129] According to an embodiment of the present invention, the method flow according to an embodiment of the present invention can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the processor 501, the above-mentioned functions defined in the system of the embodiment of the present invention are executed. According to an embodiment of the present invention, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0130] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of the present invention.

[0131] According to embodiments of the present invention, a computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples include, but are not limited to, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0132] For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 502 and / or the RAM 503 described above and / or one or more memories other than the ROM 502 and the RAM 503 .

[0133] An embodiment of the present invention also includes a computer program product, which includes a computer program, which contains program code for executing the method provided by the embodiment of the present invention. When the computer program product runs on an electronic device, the program code is used to enable the electronic device to implement the space particle parameter monitoring method based on a plasma detector provided by the embodiment of the present invention.

[0134] When the computer program is executed by the processor 501, the above functions defined in the system / device of the embodiment of the present invention are performed. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0135] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 509, and / or installed from a removable medium 511. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0136] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).

[0137] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of the systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, program segment, or portion of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the boxes may occur in an order different from that marked in the accompanying drawings. For example, two boxes shown in succession may actually be executed substantially in parallel, or they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, as well as the combination of boxes in the block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or may be implemented using a combination of dedicated hardware and computer instructions. It will be understood by those skilled in the art that the features described in the various embodiments of the present invention may be combined and / or coupled in various ways, even if such combinations or couplings are not explicitly described in the present invention. In particular, the features described in the various embodiments of the present invention may be combined and / or coupled in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or combinations fall within the scope of the present invention.

[0138] The above describes embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for monitoring space particle parameters based on a plasma detector, characterized in that: The space particle parameter monitoring method comprises: Utilizing a detection module of the plasma detector, three-dimensional distribution data of each of a plurality of spatial particles in the target space within a single scanning cycle is acquired; the three-dimensional distribution data includes particle number fluxes of the plurality of spatial particles collected at respective detection energies output by the detection module in a three-dimensional coordinate system; Correcting the three-dimensional distribution data using a processing module of the plasma detector to obtain corrected three-dimensional distribution data; Calculating characteristic parameters of each of the spatial particles in the scanning period according to the corrected three-dimensional distribution data; the characteristic parameters include particle number density; determining a state identification result of each space particle according to a plurality of particle number densities of each space particle detected in a plurality of consecutive scanning periods; When the state identification results of the plurality of spatial particles in the target space all indicate that the spatial particles are in an abnormal state, extracting the particle three-dimensional distribution data of any abnormal spatial particle in the abnormal state from the corrected three-dimensional distribution data; and The three-dimensional particle distribution data of the abnormal space particles and the characteristic parameters of the abnormal space particles are compressed according to preset rules, and the compressed three-dimensional particle distribution data and the compressed characteristic parameters are transmitted to a control center.

2. The method for monitoring space particle parameters according to claim 1, characterized in that: The process of compressing the three-dimensional distribution data of the abnormal space particles according to preset rules includes: Determining a maximum value and an average value of particle number flux in the three-dimensional particle distribution data of the abnormal space particles; When the difference between the maximum value of the particle number flux and the maximum value threshold is greater than or equal to the average value of the particle number flux, compressing the three-dimensional particle distribution data to obtain new three-dimensional particle distribution data; determining a new maximum value of particle number flux and a new average value of particle number flux in the new three-dimensional particle distribution data, and iteratively compressing the new three-dimensional particle distribution data when a difference between the maximum value of particle number flux and a maximum value threshold is greater than or equal to the average value of particle number flux; When the difference between the maximum value of the particle number flux and the maximum value threshold is smaller than the average value of the particle number flux, it is determined that the three-dimensional particle distribution data is compressed three-dimensional distribution data.

3. The method for monitoring space particle parameters according to claim 1, wherein: The correcting the three-dimensional distribution data to obtain the corrected three-dimensional distribution data includes: Obtaining the flight time of each of a plurality of space particles entering the detection channel of the detection module; Comparing the flight time of the plurality of space particles with a flight time threshold of a preset category of space particles to determine the type of each space particle; According to the attribute information of the detection energy of the plasma detector and the mass of each type of the space particles, the three-dimensional distribution data of the corresponding type of space particles are corrected.

4. The method for monitoring space particle parameters according to claim 1, characterized in that: Calculating characteristic parameters of each spatial particle in the scanning period according to the corrected three-dimensional distribution data includes: According to the mass of each space particle, the speed of each space particle at each detection energy is determined; Determining, according to the corrected three-dimensional distribution data, a particle number flux corresponding to each pitch angle at each azimuth angle of the detection module at each detection energy; According to the particle number flux corresponding to each pitch angle, the particle number flux at each detection energy is determined; The particle number density of each of the space particles in the scanning period is obtained according to the ratio of the particle number flux at each detection energy to the corresponding velocity of each of the space particles at each detection energy.

5. The method for monitoring space particle parameters according to claim 1, wherein: Determining the state identification result of each space particle according to the plurality of particle number densities of each space particle detected in a plurality of consecutive scanning cycles includes: The particle number density of each spatial particle in multiple consecutive scanning cycles is used as a sample group, and the non-parametric test method is applied to calculate the detection statistic of each spatial particle and each sample group; Based on the change in the detection statistics of two adjacent sample groups of each spatial particle and a preset threshold, the state recognition result of each spatial particle is determined.

6. The method for monitoring space particle parameters according to claim 1, characterized in that: The space particle parameter monitoring method also includes: When the state identification results of each of the multiple spatial particles in the target space indicate the existence of spatial particles in a normal state, spatial particle distribution data is extracted from the corrected three-dimensional distribution data in a predetermined manner, and the spatial particle distribution data is compressed according to the preset rules, and the compressed spatial particle distribution data is transmitted to the control center; the spatial particle distribution data includes the particle number flux of at least one spatial particle corresponding to each of the detection energies in a two-dimensional coordinate system or a one-dimensional coordinate system.

7. The method for monitoring space particle parameters according to claim 5, characterized in that: The space particle parameter monitoring method further comprises: Applying the Monte Carlo method to simulate and generate first simulated three-dimensional distribution data when all the space particles are in an abnormal state and second simulated three-dimensional distribution data when one of the space particles is in a normal state; Calculating a Mann-Whitney statistic based on the first simulated three-dimensional distribution data and the second simulated three-dimensional distribution data; An extreme value of the Mann-Whitney statistic is determined, and the extreme value is used as the preset threshold.

8. A space particle parameter monitoring device, characterized in that: The space particle parameter monitoring device comprises: a data acquisition module configured to acquire, using the detection module of the plasma detector, three-dimensional distribution data of each of a plurality of spatial particles in the target space within a single scanning cycle; the three-dimensional distribution data comprising particle number fluxes of the plurality of spatial particles collected at respective detection energies output by the detection module in a three-dimensional coordinate system; a data correction module, configured to correct the three-dimensional distribution data using the processing module of the plasma detector to obtain corrected three-dimensional distribution data; A parameter calculation module, configured to calculate characteristic parameters of each of the spatial particles within the scanning period based on the corrected three-dimensional distribution data; the characteristic parameters include particle number density; a state determination module, configured to determine a state identification result of each space particle according to a plurality of particle number densities of each space particle detected in a plurality of consecutive scanning cycles; a data extraction module, configured to extract the particle three-dimensional distribution data of any abnormal spatial particle in the abnormal state from the corrected three-dimensional distribution data, when the state identification results of the plurality of spatial particles in the target space all indicate that the spatial particle is in an abnormal state; The data compression module is used to compress the three-dimensional particle distribution data of the abnormal space particles and the characteristic parameters of the abnormal space particles according to preset rules, and transmit the compressed three-dimensional particle distribution data and the compressed characteristic parameters to the control center.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to implement the method according to any one of claims 1 to 7.

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