Emergency radar monitoring method and emergency radar device

Abstract

The invention relates to the technical field of radar survey, and discloses an emergency radar monitoring method, which comprises the following steps: S10, determining the area range of an area to be detected, and obtaining and recording initial information of the area to be detected, the initial information comprising the geographic position and geological appearance information of the area to be detected; s20, erecting a synthetic aperture radar to monitor the to-be-measured area to obtain real-time information of the to-be-measured area; s30, preprocessing the real-time information by using an atmospheric correction algorithm; s40, performing deformation analysis on the preprocessed real-time information and the initial information by using a differential interference technology, and judging a disaster stage of the to-be-detected area; and S50, generating a monitoring result through the disaster stage.

Description

Technical Field

[0001] The present invention relates to the field of radar survey technology, in particular to an emergency radar monitoring method and an emergency radar device. Background Art

[0002] Emergency radar is a device that uses electromagnetic waves for detection and positioning. It mainly detects, locates and tracks targets by transmitting and receiving electromagnetic waves, providing timely and accurate information support for decision makers. Emergency radar is widely used in natural disaster monitoring, accident rescue, military reconnaissance and other fields, and is an important means to protect the safety of people's lives and property.

[0003] Emergency radar plays an important role in natural disaster monitoring. For example, when geological disasters such as earthquakes, landslides, and mudslides occur, emergency radar can quickly obtain topographic information at the disaster site, and staff can take corresponding preventive measures by analyzing changes in topographic information.

[0004] Existing emergency radars face challenges from severe weather and lighting conditions such as rain, snow, fog, dust, and smoke when using laser technology. These factors limit the radar's penetration capability and monitoring accuracy, making it impossible for emergency radars to meet submillimeter accuracy requirements in some cases. Summary of the invention

[0005] The technical problem to be solved by the present invention is to solve the problem that the existing emergency radar monitoring method has low monitoring accuracy due to the inability to adapt to the interference of various climates.

[0006] In order to solve the above technical problems, the present invention provides an emergency radar monitoring method, characterized in that the method comprises:

[0007] S10, determining the area range of the area to be measured, and obtaining and recording initial information of the area to be measured, wherein the initial information includes the geographical location and geological features of the area to be measured;

[0008] S20, setting up a synthetic aperture radar to monitor the area to be measured to obtain real-time information of the area to be measured;

[0009] S30, preprocessing the real-time information using an atmospheric correction algorithm;

[0010] S40, using differential interferometry technology to perform deformation analysis on the pre-processed real-time information and the initial information and determine the disaster stage of the area to be tested;

[0011] S50, generating monitoring results through the disaster stage.

[0012] Furthermore, the specific steps of deformation analysis and determining the disaster stage of the area to be tested include:

[0013] S41, taking each point in the initial position information dot matrix as an origin X, the number of the origin X is n, Xn = (X1, X2, X3..., Xn);

[0014] S42, obtaining corresponding points Y between each point in the real-time position information dot matrix and the origin X, where the number of corresponding points Y is n, and Yn=(Y1, Y2, Y3..., Yn);

[0015] S43, obtaining the relative displacement ΔL between the real-time position information dot matrix and the initial position information dot matrix, wherein the calculation formula of ΔL is:

[0016]

[0017] S44, judging the disaster stage of the area to be measured according to the value of ΔL.

[0018] Furthermore, the disaster stages include the incubation creep stage, the development stage, the disaster imminent stage, and the disaster formation stage;

[0019] When the time interval between the initial information and the real-time information is 1 day,

[0020] ΔL≤1mm is the incubation creep stage; 1mm≤ΔL≤5mm is the incubation creep stage; 5mm≤ΔL≤10mm is the incubation creep stage; ΔL≥10mm is the disaster stage.

[0021] Furthermore, the method comprises:

[0022] S60, transmitting the monitoring results to a data processing center and performing disaster warning.

[0023] Furthermore, the atmospheric correction algorithm includes using meteorological data, ground control points, and radar internal calibration data to perform phase correction to eliminate the effects of atmospheric refraction, scattering, and delay on radar signals.

[0024] Furthermore, the differential interference technology also includes a phase unwrapping step to restore the real phase information of the radar signal and improve the accuracy of deformation analysis.

[0025] Furthermore, the synthetic aperture radar includes non-contact remote sensing technology.

[0026] In another aspect of the present invention, an emergency radar device is provided, and the emergency radar monitoring method described above is included when the emergency radar device is used for monitoring.

[0027] Furthermore, the radar device includes: an information acquisition module, which uses synthetic aperture imaging technology to acquire real-time data of the area to be measured, and the synthetic aperture imaging technology is a non-remote sensing technology; a data processing module, which is used to process the real-time data and generate monitoring results. The data processing module includes a preprocessing unit, a deformation analysis unit, and a monitoring result generation unit. The preprocessing unit is used to preprocess the real-time information using an atmospheric correction algorithm. The deformation analysis unit is used to use differential interferometry technology to perform deformation analysis on the preprocessed real-time information and the initial information and determine the disaster stage of the area to be measured. The monitoring result generation unit is used to generate monitoring results based on the disaster stage.

[0028] Compared with the prior art, the emergency radar monitoring method according to the embodiment of the present invention has the following beneficial effects:

[0029] The embodiment of the present invention can provide high-resolution surface images under different weather conditions by introducing synthetic aperture radar; at the same time, the atmospheric correction algorithm is used to pre-process the radar signal, effectively eliminating interference factors such as atmospheric refraction, scattering and delay, and further improving the accuracy of monitoring data, which enables the emergency radar monitoring method to maintain high monitoring accuracy under complex climatic conditions and meet sub-millimeter accuracy requirements; the embodiment of the present invention uses differential interferometry technology for deformation analysis, which can accurately identify small changes in the surface, including crustal movement, landslides, ground subsidence, etc. This high-precision deformation analysis capability provides important support for the early warning and assessment of geological disasters, helps staff to discover potential dangerous areas and disaster types in advance, and provides a basis for formulating disaster response measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a flow chart of an emergency radar monitoring method provided by an embodiment of the present invention;

[0031] Figure 2 is a schematic diagram of an emergency radar device provided by an embodiment of the present invention;

[0032] In the figure, 100 is an information acquisition module; 200 is a data processing module; 210 is a preliminary processing unit; 220 is a deformation analysis unit; and 230 is a monitoring result generation unit. DETAILED DESCRIPTION

[0033] The specific embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings and Examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention. It should be noted that unless otherwise specifically stated, the relative arrangement and numerical values ​​of the parts and steps described in these examples do not limit the scope of the present invention.

[0034] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0035] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0036] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0037] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0038] like Figure 1 As shown, an embodiment of the present invention provides an emergency radar monitoring method, the method comprising:

[0039] S10, determining the area range of the area to be measured, and obtaining and recording initial information of the area to be measured, wherein the initial information includes the geographical location, geological features information, and initial location information dot matrix of the area to be measured;

[0040] S20, setting up a synthetic aperture radar to monitor the area to be measured to obtain real-time information of the area to be measured, wherein the real-time information includes a real-time position information dot matrix;

[0041] S30, preprocessing the real-time information using an atmospheric correction algorithm;

[0042] S40, using differential interferometry technology to perform deformation analysis on the pre-processed real-time information and the initial information and determine the disaster stage of the area to be tested;

[0043] S50, generating monitoring results through the disaster stage;

[0044] Specifically, in step S10, the area to be measured refers to the geographical area that needs to be monitored by radar, usually including areas where geological disasters (such as landslides, ground collapse, etc.) may occur. The initial information refers to the basic information such as the geographical location and geological features of the area to be measured before the monitoring begins. Among them, the initial position information dot matrix is ​​a position information map used to record and represent the initial state of the surface. The initial information can be obtained through geological surveys, satellite remote sensing, historical data, etc., including geographical location, topography, geological structure, etc.

[0045] Specifically, in step S20, synthetic aperture radar is a high-resolution radar system that forms a high-resolution radar image by synthesizing radar echo data at multiple antenna positions, and obtains current surface information of the area to be measured, such as deformation, displacement, etc., through radar monitoring.

[0046] Specifically, in step S30, the atmospheric correction algorithm is an algorithm for eliminating the influence of atmospheric conditions on radar monitoring data. The atmospheric correction algorithm is applied to real-time information to eliminate the influence of atmospheric conditions (such as temperature, humidity, air pressure, etc.) on the data. The pre-processed data is corrected to ensure the accuracy and reliability of the data.

[0047] Specifically, in step S40, differential interferometry is a high-precision surface deformation monitoring method that can accurately measure tiny deformations and displacements of the surface. By comparing the real-time information after preprocessing with the initial information, the deformation of the area to be measured can be analyzed and its disaster stage can be determined. According to the monitored deformation change rate, the disaster stage can be divided into surface micro-deformation-incubation creep stage, obvious uniform deformation-development stage, accelerated deformation-disaster stage, pre-slip rock rolling-pre-disaster stage, and large-scale landslide-disaster stage.

[0048] Specifically, in step S50, according to the result of the disaster stage judgment, a final monitoring report or early warning information is generated. The monitoring results can be used to guide subsequent disaster prevention and emergency response work. For example, in the micro-deformation-incubation creep stage of the surface, the surface undergoes a slight deformation, which is usually difficult to detect with the naked eye. The deformation rate is slow and stable, but it continues to accumulate, which may be an early signal of a geological disaster; in the obvious uniform deformation-development stage, the surface deformation begins to become obvious and can be detected by the naked eye or simple measuring tools. The deformation rate is relatively stable, but it is faster than the incubation creep stage, indicating that the geological disaster is gradually developing, but has not yet reached a critical state; radar can be used to continue monitoring and obtain deformation data in these two stages. In the accelerated deformation-disaster stage, the surface deformation rate suddenly accelerates, indicating that a geological disaster is about to occur. There may be obvious signs such as cracks and ground subsidence. Using real-time deformation data, the urgency of geological disasters can be quickly judged, and early warning information can be issued in a timely manner to provide key data support for emergency response. Emergency response measures need to be taken immediately. In the pre-disaster stage of rock rolling before landslides, when a geological disaster is about to occur, rock rolling, small landslides and other phenomena may occur on the surface. These phenomena are clear signals that a geological disaster is about to break out, and emergency risk avoidance measures must be taken immediately and emergency risk avoidance instructions must be issued quickly to ensure the safety of personnel. In the stage of large-scale landslides and disasters, geological disasters have already occurred, and large-scale landslides and landslides have occurred on the surface. People and property may suffer serious losses, and rescue and recovery work must be carried out immediately.

[0049] The embodiment of the present invention can provide high-resolution surface images under different weather conditions by introducing synthetic aperture radar; at the same time, the atmospheric correction algorithm is used to pre-process the radar signal, effectively eliminating interference factors such as atmospheric refraction, scattering and delay, and further improving the accuracy of monitoring data, which enables the emergency radar monitoring method to maintain high monitoring accuracy under complex climatic conditions and meet sub-millimeter accuracy requirements; the embodiment of the present invention uses differential interferometry technology for deformation analysis, which can accurately identify small changes in the surface, including crustal movement, landslides, ground subsidence, etc. This high-precision deformation analysis capability provides important support for the early warning and assessment of geological disasters, helps staff to discover potential dangerous areas and disaster types in advance, and provides a basis for formulating disaster response measures.

[0050] In an optional embodiment of the present invention, the specific steps of deformation analysis and determining the disaster stage of the area to be tested include:

[0051] S41, taking each point in the initial position information dot matrix as an origin X, the number of the origin X is n, Xn = (X1, X2, X3..., Xn);

[0052] S42, obtaining corresponding points Y between each point in the real-time position information dot matrix and the origin X, where the number of corresponding points Y is n, and Yn=(Y1, Y2, Y3..., Yn);

[0053] S43, obtaining the relative displacement ΔL between the real-time position information dot matrix and the initial position information dot matrix, wherein the calculation formula of ΔL is:

[0054]

[0055] S44, judging the disaster stage of the area to be measured according to the value of ΔL.

[0056] Specifically, in step S41, the origin X is set. In order to perform deformation analysis, it is first necessary to determine a reference point set, that is, the points in the initial position information dot map. These points will serve as the starting point or reference point for subsequent analysis. Each point in the initial position information dot map is marked as the origin X, and a unique identifier (such as X1, X2, X3, ..., Xn) is assigned to them, where n is the total number of points. These points constitute the basic data set for analysis. In step S42, find the point Y corresponding to the origin X in the real-time position information dot map. In step S43, for each origin X and the corresponding point Y, calculate the distance difference between them, that is, the relative displacement ΔL. In step S44, the calculated relative displacement ΔL is judged, and the area to be tested is divided into different disaster stages (such as incubation creep stage, development stage, disaster imminent stage, and disaster stage) based on the judgment result. For example, when the time interval between the initial information and the real-time information is 1 day, ΔL≤1mm is the incubation creep stage; 1mm≤ΔL≤5mm is the incubation creep stage; 5mm≤ΔL≤10mm is the incubation creep stage; ΔL≥10mm is the disaster stage.

[0057] In an optional embodiment of the present invention, the disaster stage includes a creeping stage, a development stage, a disaster-prone stage, and a disaster-forming stage;

[0058] When the time interval between the initial information and the real-time information is 1 day,

[0059] ΔL≤1mm is the incubation creep stage; 1mm≤ΔL≤5mm is the incubation creep stage; 5mm≤ΔL≤10mm is the incubation creep stage; ΔL≥10mm is the disaster stage.

[0060] Specifically, in the micro-deformation-incubation creep stage, the surface undergoes tiny deformations that are usually difficult to detect with the naked eye. The deformation rate is slow and stable, but continues to accumulate, which may be an early signal of a geological disaster. In the obvious uniform deformation-development stage, the surface deformation begins to become obvious and can be detected by the naked eye or simple measuring tools. The deformation rate is relatively stable, but it is faster than the incubation creep stage, indicating that the geological disaster is gradually developing, but has not yet reached a critical state. Radar can continue to monitor and obtain deformation data in these two stages. In the accelerated deformation-disaster stage, the surface deformation rate suddenly accelerates, indicating that a geological disaster is about to occur. There may be obvious signs such as cracks and ground subsidence. Using real-time deformation data, the urgency of geological disasters can be quickly judged, early warning information can be issued in a timely manner, and key data support for emergency response is required to take emergency response measures immediately. In the pre-disaster stage of rock rolling before landslides, when a geological disaster is about to occur, rock rolling, small landslides and other phenomena may occur on the surface. These phenomena are clear signals that a geological disaster is about to break out, and emergency risk avoidance measures must be taken immediately and emergency risk avoidance instructions must be issued quickly to ensure the safety of personnel. In the stage of large-scale landslides and disasters, geological disasters have already occurred, and large-scale landslides and landslides have occurred on the surface. People and property may suffer serious losses, and rescue and recovery work must be carried out immediately.

[0061] In an optional embodiment of the present invention, the method includes S50, transmitting the monitoring results to a data processing center and performing disaster warning.

[0062] Specifically, the monitored deformation data and other relevant information (such as meteorological data, geological survey results, etc.) are integrated into the data processing center for comprehensive analysis. Based on the analysis results, the possibility and urgency of geological disasters are judged, and early warning information is issued in a timely manner. Disaster warning information is provided to relevant departments and personnel to support them in formulating and implementing emergency response plans.

[0063] The specific implementation details are as follows:

[0064] Data transmission: Use wireless communication networks (such as satellite communications, 4G / 5G networks, etc.) to transmit monitoring results to the data processing center in real time. Ensure the reliability and security of data transmission to prevent data loss or tampering.

[0065] Data processing and analysis: In the data processing center, high-performance computers and advanced algorithms are used to process and analyze monitoring data. Combined with geological survey results, meteorological data and other information, multi-source data fusion and comprehensive analysis are carried out to identify deformation trends and abnormal changes, and assess the risk level of geological disasters.

[0066] Disaster warning is issued. Based on the analysis results, disaster warning information is formulated, including warning level, warning area, possible impact range, etc.

[0067] Release early warning information in a timely manner through multiple channels (such as SMS, telephone, radio, television, social media, etc.).

[0068] In the embodiment of the present invention, the present invention can monitor the deformation changes of geological disasters in real time, and can also issue early warning information in a timely manner, providing powerful decision-making support for relevant departments and personnel, thereby improving the efficiency and accuracy of emergency response and reducing the losses caused by disasters.

[0069] In an optional embodiment of the present invention, the atmospheric correction algorithm includes using meteorological data, ground control points, and radar internal calibration data to perform phase correction to eliminate the effects of atmospheric refraction, scattering, and delay on radar signals.

[0070] Specifically, the main purpose of the atmospheric correction algorithm is to eliminate the impact of atmospheric conditions (such as refraction, scattering and delay) on the radar signal, so as to obtain more accurate ground information. Meteorological data (such as temperature, humidity, air pressure, water vapor content, etc.) are key inputs for atmospheric correction. These data are used to simulate the impact of the atmosphere on the radar signal, so as to calculate the necessary correction parameters. Although ground control points are usually used for geometric correction (i.e., adjusting the geographic location of the image), in some cases they can also be used to verify the effect of atmospheric correction. For example, if the true reflectivity of the ground control point is known, the corrected radar reflectivity can be compared with it to evaluate the accuracy of the correction. Radar internal calibration data is used to ensure the stability and accuracy of the radar system. This includes adjusting the gain, phase and other parameters of the radar system to reduce errors within the system. Although these data are not directly used for atmospheric correction, they are the basis for ensuring that atmospheric correction can be carried out accurately. Phase correction is an important step in radar signal processing, which is used to ensure that the phase information of the radar signal is accurate.

[0071] In the present invention, the atmospheric correction algorithm performs phase correction by combining meteorological data, ground control points, and radar internal calibration data to eliminate the effects of atmospheric refraction, scattering, and delay on radar signals, thereby improving the accuracy of radar monitoring data.

[0072] In an optional embodiment of the present invention, the synthetic aperture radar includes non-contact remote sensing technology.

[0073] Non-contact remote sensing technology is a method of collecting information about a target object through a remote sensor without direct contact with the target object. This technology relies on the emission, reception and processing of electromagnetic waves (such as radar waves) to obtain various properties of the target object, such as shape, size, and location.

[0074] In another aspect of the present invention, an emergency radar device is provided, and the emergency radar monitoring method described above is included when the emergency radar device is used for monitoring.

[0075] like Figure 2 As shown, in an optional embodiment of the present invention, the radar device includes: an information acquisition module 100, the information acquisition module 100 uses synthetic aperture imaging technology to acquire real-time data of the area to be measured, and the synthetic aperture imaging technology is a non-remote sensing technology; a data processing module 200, the data processing module is used to process the real-time data and generate monitoring results, the data processing module includes a preprocessing unit 210, a deformation analysis unit 220, and a monitoring result generation unit 230, the preprocessing unit 210 is used to use an atmospheric correction algorithm to preprocess the real-time information, the deformation analysis unit 220 is used to use differential interference technology to perform deformation analysis on the preprocessed real-time information and the initial information and determine the disaster stage of the area to be measured, and the monitoring result generation unit 230 is used to generate monitoring results according to the disaster stage.

[0076] The embodiment of the present invention can provide high-resolution surface images under different weather conditions by introducing synthetic aperture technology; at the same time, the atmospheric correction algorithm is used to pre-process the radar signal, effectively eliminating interference factors such as atmospheric refraction, scattering and delay, and further improving the accuracy of monitoring data, which enables the emergency radar device to maintain high monitoring accuracy under complex climatic conditions and meet sub-millimeter accuracy requirements; the embodiment of the present invention uses differential interferometry technology for deformation analysis, which can accurately identify small changes in the surface, including crustal movement, landslides, ground subsidence, etc. This high-precision deformation analysis capability provides important support for the early warning and assessment of geological disasters, helps staff to discover potential dangerous areas and disaster types in advance, and provides a basis for formulating disaster response measures.

[0077] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention. These improvements and substitutions should also be regarded as the scope of protection of the present invention.

Claims

1. An emergency radar monitoring method, characterized in that: The method comprises: S10, determining the area range of the area to be measured, and obtaining and recording initial information of the area to be measured, wherein the initial information includes the geographical location, geological features information, and initial location information dot matrix of the area to be measured; S20, setting up a synthetic aperture radar to monitor the area to be measured to obtain real-time information of the area to be measured, wherein the real-time information includes a real-time position information dot matrix; S30, preprocessing the real-time information using an atmospheric correction algorithm; S40, using differential interferometry technology to perform deformation analysis on the pre-processed real-time information and the initial information and determine the disaster stage of the area to be tested; S50, generating monitoring results through the disaster stage.

2. The emergency radar monitoring method according to claim 1, characterized in that: The specific steps of deformation analysis and determining the disaster stage of the area to be tested include: S41, taking each point in the initial position information dot matrix as an origin X, the number of the origin X is n, Xn = (X1, X2, X3..., Xn); S42, obtaining corresponding points Y between each point in the real-time position information dot matrix and the origin X, where the number of corresponding points Y is n, and Yn=(Y1, Y2, Y3..., Yn); S43, obtaining the relative displacement ΔL between the real-time position information dot matrix and the initial position information dot matrix, wherein the calculation formula of ΔL is: S44, judging the disaster stage of the area to be measured according to the value of ΔL.

3. The emergency radar monitoring method according to claim 2, characterized in that: The disaster stages include the incubation creep stage, the development stage, the disaster imminent stage, and the disaster formation stage; When the time interval between the initial information and the real-time information is 1 day, ΔL≤1mm is the incubation creep stage; 1mm≤ΔL≤5mm is the incubation creep stage; 5mm≤ΔL≤10mm is the incubation creep stage; ΔL≥10mm is the disaster stage.

4. The emergency radar monitoring method according to claim 1, characterized in that: The method comprises: S60, transmitting the monitoring results to a data processing center and performing disaster warning.

5. The emergency radar monitoring method according to claim 1, characterized in that: The atmospheric correction algorithm includes phase correction using meteorological data, ground control points, and radar internal calibration data to eliminate the effects of atmospheric refraction, scattering, and delay on radar signals.

6. The emergency radar monitoring method according to claim 1, characterized in that: The differential interference technique also includes a phase unwrapping step to restore the real phase information of the radar signal and improve the accuracy of deformation analysis.

7. The emergency radar monitoring method according to claim 1, characterized in that: The synthetic aperture radar includes non-contact remote sensing technology.

8. An emergency radar device, characterized in that: The use of the emergency radar device for monitoring includes the emergency radar monitoring method described in any one of claims 1-6.

9. The emergency radar device according to claim 7, characterized in that: The radar device comprises: An information acquisition module, wherein the information acquisition module uses synthetic aperture imaging technology to acquire real-time data of the area to be measured, and the synthetic aperture imaging technology is a non-remote sensing technology; A data processing module, the data processing module is used to process the real-time data and generate monitoring results. The data processing module includes a preprocessing unit, a deformation analysis unit, and a monitoring result generation unit. The preprocessing unit is used to preprocess the real-time information using an atmospheric correction algorithm. The deformation analysis unit is used to use differential interferometry technology to perform deformation analysis on the preprocessed real-time information and the initial information and determine the disaster stage of the area to be measured. The monitoring result generation unit is used to generate monitoring results based on the disaster stage.

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