CN211236250U - Earth surface environmental parameter monitor based on global navigation satellite signal - Google Patents

Earth surface environmental parameter monitor based on global navigation satellite signal Download PDF

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CN211236250U
CN211236250U CN201821532731.0U CN201821532731U CN211236250U CN 211236250 U CN211236250 U CN 211236250U CN 201821532731 U CN201821532731 U CN 201821532731U CN 211236250 U CN211236250 U CN 211236250U
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navigation satellite
satellite signal
environmental parameter
global navigation
parameter monitor
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张京江
张双成
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Abstract

The utility model discloses a surface environmental parameter monitor based on global navigation satellite signal, surface environmental parameter monitor body are equipped with global navigation satellite signal receiving module, data communication module and data processing module. The global current satellite signal receiving module receives navigation satellite signals and sends the received navigation satellite signals to the data processing module; the device calculates the signal-to-noise ratio (SNR) of a navigation satellite signal receiver by integrating navigation satellite signals from a receiving module and broadcast ephemeris data from a communication module through a data processing module, separates earth surface reflection signals from the calculated SNR, performs spectrum analysis on the obtained reflection signals, and obtains three earth surface environment parameters around the position where the antenna of the navigation satellite receiver is located according to the frequency, amplitude, phase and other parameters obtained by the spectrum analysis: soil humidity, snow accumulation depth and vegetation index, thereby simplifying a surface environmental parameter monitoring system.

Description

Earth surface environmental parameter monitor based on global navigation satellite signal
Technical Field
The utility model relates to a meteorological detection technique indicates a surface environmental parameter monitor based on global navigation satellite signal especially.
Background
Soil moisture (soil moisture) is a core variable of a surface model and is an important component of land water circulation. The content of the rare earth salt continuously fluctuates along with the time-space change, and the rare earth salt has important significance for the research of ground evapotranspiration, ground surface runoff, ground surface emissivity and reflectivity. In the global exchange of land and atmospheric matter with energy, it profoundly affects the proportion of the distribution of net radiant energy converted into latent and sensible heat. Therefore, the trend of the soil humidity change has important significance for the relevant researches such as climate and weather forecast, crop growth and crop yield estimation, flood disasters, water resource circulation and the like.
Currently, the main soil humidity measurement means is measurement by a hygrometer or a remote sensing satellite. The former is widely used under the condition of humidity data precision measurement, and is mainly applied to soil humidity detection in a small range and a small area. Although soil moisture measurements based on hygrometers have a high degree of accuracy, there are still some problems with establishing regional and wide-area data sharing networks that are also being developed. For example, a hygrometer using a probe as a main sensor is used as an active data acquisition means, and the influence and damage to an observed object and the environment of the observed object necessarily exist while the instrument is installed and configured. The existing regional soil humidity observation network generally has a small coverage area, and due to the influence of other factors such as soil types and instrument types, data among networks are difficult to assimilate, so that the soil humidity observation is difficult to realize large-range high-precision measurement. The remote sensing satellite is used for soil humidity detection, and is generally used for humidity measurement in large-area areas and ranges, and the measurement result is also generally used for climate environment change detection.
Snowfall is an important fresh water resource and also an important component in the global climate system. At present, global snow depth (snow depth) detection mainly depends on a manual detector with sparse sites, the observation frequency is low, and the observation result is greatly influenced by human factors. Land-based snow depth measuring instruments (such as ultrasonic snow depth measuring instruments, snow pillow type snow depth measuring instruments, Gamma ray snow depth measuring instruments and the like) can provide high-frequency detection data, but different detection principles lead to data difficult to assimilate. The remote sensing satellite can only detect the coverage rate of the large-area accumulated snow, and cannot detect the depth of the accumulated snow.
The leaf area index (leaf area index) is also called the leaf area coefficient, and is the multiple of the total area of the plant leaves in a unit land area occupying the land area. In agricultural production, the Leaf Area Index (LAI) is an important index reflecting the growth condition of plant population, and the size of the index is directly and closely related to the final yield. In ecology, the leaf area index is an important structural parameter of an ecosystem, is used for reflecting the quantity of plant leaf surfaces, the structural change of canopy layers, the vitality of plant communities and the environmental effect thereof, provides structured quantitative information for describing the surface substances and energy exchange of the plant canopy layers, and plays an important role in the aspects of carbon accumulation of the ecosystem, the productivity of vegetation, the energy balance of interaction among soil, plants and atmosphere, vegetation remote sensing and the like.
Currently, there are various methods of measuring the leaf surface index. The special leaf area meter based on the direct measurement method has certain destructiveness to the measured object. Using optical instruments, if the method is based on radiation measurement, the result is susceptible to weather and needs to work under sunny days; if the method is based on image measurement, the speed is slower than that of the instrument based on radiation measurement, and the image is often required to be post-processed. In addition, a uniform light environment is required for measurement, such as dawn, dusk, cloudy days, etc., and the fisheye lens underestimates or overestimates solar radiation or scattering in sunny days. The remote sensing satellite can be used for detecting the index of the large-area foliage, but the inversion model is complex due to different vegetation types, and the inversion model needs to be adjusted frequently during application.
The GNSS-mr (GNSS Multipath reflectometry) remote sensing technology can monitor and invert the surface environment parameters such as soil moisture, snowfall depth, leaf surface index, sea level change and the like by utilizing the signal-to-noise ratio or carrier phase observation value recorded by a conventional measurement type GNSS receiver, and is a latest research hotspot in the current GNSS remote sensing field.
In summary, if three different surface parameters, namely soil humidity around a specified position, snow accumulation depth and leaf surface index, need to be acquired, a dedicated monitoring instrument needs to be erected for each different parameter at the same place. The system is complex in structure and different in observation principle, and is not beneficial to data assimilation application.
Disclosure of Invention
In order to solve the problem, the utility model provides a surface environmental parameter monitor based on global navigation satellite signal can simplify current surface environmental monitoring system.
In order to achieve the above object, the utility model provides a surface environmental parameter monitor based on navigation satellite signal, including surface environmental parameter monitor body, surface environmental parameter monitor body is equipped with receiving module, communication module and data processing module, receiving module gives data processing module with received global navigation satellite signal transmission, data processing module is sent with received broadcast ephemeris to communication module.
As an optimized technical scheme of the utility model, receiving module is big dipper GPS GLONASS navigation satellite signal receiver.
As a preferred technical scheme of the utility model, the receiving module adopts ATGM336H-5N receiving module.
As an optimized technical scheme of the utility model, the communication module adopts the module that the model is ME 3630-W.
As an optimized technical solution of the present invention, the data processing module adopts a chip with a model of S2C 2440.
Compared with the prior art, the utility model discloses a: the device comprises a receiving module for receiving global navigation satellite signals, a communication module for acquiring broadcast ephemeris and sending the broadcast ephemeris data to a data processing module, and the data processing module is used for receiving the global navigation satellite signals from the receiving module and receiving the broadcast ephemeris data from the communication module; calculating the signal-to-noise ratio (SNR) of a navigation satellite signal receiver according to the received global navigation satellite signal and broadcast ephemeris data, separating earth surface reflection signals from the calculated SNR, performing spectrum analysis on the obtained reflection signals, and performing inversion according to the frequency, amplitude and phase obtained by the spectrum analysis to obtain three earth surface environment parameters around the position where the antenna of the global navigation satellite receiver is located: soil moisture, snow depth and vegetation index. Through the utility model discloses a global navigation satellite signal receiver has been integrated to the scheme, data communication module, soil moisture, snow depth and vegetation index inversion algorithm in an organic whole, portable observation obtains these three kinds of earth's surface environmental parameters of the peripheral soil moisture of monitoring instrument, snow depth and vegetation index in real time, has simplified the complexity that earth's surface environmental parameter monitoring facilities constitutes.
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The drawings in the embodiments of the present invention are described below, and the drawings in the embodiments are used for further understanding of the present invention, and are used together with the description to explain the present invention, and do not constitute a limitation to the scope of the present invention.
Fig. 1 is the utility model discloses surface environmental parameter monitoring facilities constitutes the schematic diagram.
In the figure: 1. a surface environmental parameter monitor body; 2. a receiving module; 3. a communication module; 4. and a data processing module.
Detailed Description
To facilitate understanding of those skilled in the art, the following further description of the present invention is provided in conjunction with the accompanying drawings and is not intended to limit the scope of the present invention. In the present application, the embodiments and various aspects of the embodiments may be combined with each other without conflict.
Referring to fig. 1, the utility model provides a surface environmental parameter monitor based on navigation satellite signal, including surface environmental parameter monitor body 1, surface environmental parameter monitor body 1 is equipped with receiving module 2, communication module 3 and data processing module 4, and receiving module 2 sends received global navigation satellite signal for data processing module 4, and communication module 3 sends received broadcast ephemeris for data processing module 4.
The receiving module 2 is a Beidou/GPS/GLONASS navigation satellite signal receiver, the receiving module 2 adopts an ATGM336H-5N receiving module, the communication module 3 adopts a module with the model of ME3630-W, the data processing module 4 adopts a chip with the model of S2C2440, the global navigation satellite signal can be a Beidou satellite signal and/or a GPS satellite signal and/or a GLONASS satellite signal, and when the satellite signal is the Beidou satellite signal, the broadcast ephemeris can be Beidou broadcast ephemeris; when the satellite signal is a GPS signal, the broadcast ephemeris may be GPS broadcast ephemeris; when the satellite signals are GLONASS signals, the broadcast ephemeris may be GLONASS broadcast ephemeris.
Specifically, a surface environmental parameter monitor based on global navigation satellite signal, wherein, data processing module 4 is specifically used for: receiving global navigation satellite signals from a receiving module 2, receiving broadcast ephemeris data from a communication module 3, calculating a signal-to-noise ratio (SNR) of a navigation satellite signal receiver according to the received global navigation satellite signals and the broadcast ephemeris data, separating earth surface reflection signals from the calculated SNR, performing spectrum analysis on the obtained reflection signals, and performing inversion according to frequency, amplitude and phase obtained by the spectrum analysis to obtain three earth surface environment parameters around the position where an antenna of the navigation satellite receiver is located: soil moisture, snow depth and vegetation index, communication module still are used for sending the atmospheric water vapor content that the inversion obtained for the user, the utility model discloses integrated navigation satellite signal receiver, data communication module 4 and earth's surface environmental parameter (soil moisture, snow depth and vegetation index) inversion algorithm in an organic whole, portable observation obtains these three kinds of earth's surface environmental parameters of the peripheral soil moisture of monitoring instrument, snow depth and vegetation index in real time, has simplified the complexity that earth's surface environmental parameter monitoring facilities constitutes.
It should be noted that the above-mentioned embodiments are only for facilitating understanding of those skilled in the art, and are not intended to limit the scope of the present invention, and any obvious substitutions, modifications, etc. made by those skilled in the art without departing from the spirit of the present invention are within the scope of the present invention.

Claims (5)

1. The utility model provides a ground surface environmental parameter monitor based on global navigation satellite signal, includes ground surface environmental parameter monitor body (1), its characterized in that, ground surface environmental parameter monitor body (1) is equipped with receiving module (2), communication module (3) and data processing module (4), receiving module (2) send the global navigation satellite signal received to data processing module (4), communication module (3) send global navigation satellite broadcast ephemeris to data processing module (4).
2. The earth's surface environment parameter monitor based on global navigation satellite signals as claimed in claim 1, wherein the receiving module (2) is a Beidou/GPS/GLONASS navigation satellite signal receiver.
3. The global navigation satellite signal-based surface environment parameter monitor according to claim 1, wherein the receiving module (2) adopts an ATGM336H-5N receiving module.
4. The earth surface environment parameter monitor based on global navigation satellite signals according to claim 1, characterized in that the communication module (3) is a module with model number ME 3630-W.
5. The earth surface environment parameter monitor based on global navigation satellite signals according to claim 1, characterized in that the data processing module (4) adopts a chip with model number S2C 2440.
CN201821532731.0U 2018-09-19 2018-09-19 Earth surface environmental parameter monitor based on global navigation satellite signal Active CN211236250U (en)

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CN201821532731.0U CN211236250U (en) 2018-09-19 2018-09-19 Earth surface environmental parameter monitor based on global navigation satellite signal

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CN211236250U true CN211236250U (en) 2020-08-11

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