CN110596710A - Fire monitoring and decision-making system and method based on X-band dual-polarization weather radar network - Google Patents
Fire monitoring and decision-making system and method based on X-band dual-polarization weather radar network Download PDFInfo
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- G—PHYSICS
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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Abstract
The invention discloses a fire monitoring and decision-making system and method based on an X-band dual-polarization weather radar network, wherein the system adopts one or more X-band dual-polarization weather radars to monitor fire with high spatial and temporal resolution in a user attention area, and when the fire is monitored, the system can switch into a tracking mode to start tracking observation with higher temporal resolution; fire information monitored by all the radars is sent to an information center through a communication link, centralized display and early warning are carried out on an information center comprehensive platform, the development trend of the fire is evaluated in real time, and a basis is provided for timely discovering and extinguishing the fire. The invention can obtain detection data including information such as the fire time, the fire place, the fire development trend, the smoke diffusion influence, the fire control time and the like, provides scientific detection basis for fire suppression commanding, and can also be used as data support for fire history individual case investigation by reversely checking and analyzing historical data.
Description
Technical Field
The invention belongs to the technical field of meteorological radar detection, and particularly relates to a fire monitoring and decision-making system based on an X-band dual-polarization weather radar network.
Background
The fire disaster is a disaster which has strong burst and great destructiveness and is difficult to deal with and rescue. At present, the main technologies for fire monitoring include satellite monitoring, video monitoring, manual patrol, aviation patrol and the like, and in recent years, the rapid development of the unmanned aerial vehicle technology is also applied to fire monitoring.
However, the satellite monitoring only passes through the same area for dozens of times every day, the time interval is long, the resolution ratio is coarse, and the satellite monitoring is easily influenced by factors such as the terrain and the cloud layer thickness; although video monitoring can be carried out in real time without interruption, the monitoring range is limited, the video monitoring only can be carried out on key areas, the influence of visibility is large, and the later maintenance cost is high; a large amount of manpower and material resources are consumed for manual patrol, and the effect is not ideal; the aviation patrol cost is high, and expensive infrastructure conditions are needed; unmanned aerial vehicle monitoring is generally used for the on-the-spot commander after the conflagration takes place.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a fire monitoring and decision-making system and method based on an X-band dual-polarization weather radar network, aiming at the defects of the prior art, so that the fire in the area concerned by the user is monitored and evaluated, and a basis is provided for timely discovering and extinguishing the fire.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a fire monitoring and decision-making system based on an X-band dual-polarization weather radar network comprises one or more X-band dual-polarization weather radars, a fire automatic identification module, a data transmission link and an information center;
the X-band dual-polarization weather radar monitors the fire of a target area in real time, and the automatic fire recognition module distinguishes the echoes one by one through various echoes in the target area detected by the X-band dual-polarization weather radar based on the characteristics of the various echoes to realize automatic recognition and evaluation of the fire;
the fire information monitored by the X-band dual-polarization weather radar is sent to the information center through the data transmission link, centralized display and early warning are carried out in the information center, the development trend of the fire is evaluated in real time, and a basis is provided for timely discovering and extinguishing the fire.
In order to optimize the technical scheme, the specific measures adopted further comprise:
the multiple X-waveband dual-polarization weather radars form a radar networking, and when the radars are networked, each radar adopts an equilateral triangle form; the radar spacing is comparable to the radar detection range.
The X-band dual-polarization weather radar adopts a full-coherent pulse Doppler dual-polarization system and comprises an antenna, a feeder line, a transmitter, a receiver, a servo, a signal processing module and a data processing module;
the antenna is 2.4m long, the beam width is 1 degree, the gain is larger than or equal to 44dB, the feeder loss is smaller than or equal to 3dB, scanning is carried out at 0-360 degrees in azimuth, and the pitching coverage range is 0-30 degrees;
the transmitter adopts an all-solid-state system, the peak power is 200w, the pulse width is 1/40 mus, the transmitter receives in two paths, the dynamic range is more than or equal to 90dB, the noise coefficient is less than or equal to 3dB, and the sensitivity is less than or equal to-108 dBm;
the X-band dual-polarization weather radar has the advantages that the detection range is 60km, the distance resolution is 60m, and the output parameters comprise intensity, speed, spectrum width, differential reflectivity and correlation coefficient.
The X-band dual-polarization weather radar comprises a monitoring mode and a tracking mode, wherein after the system is started, the X-band dual-polarization weather radar works in the monitoring mode, and when a fire is monitored, the X-band dual-polarization weather radar is switched to the tracking mode;
the monitoring mode adopts a 6-layer sweeping mode, the elevation angle is adjusted according to the station height and the monitoring range of the radar, the rotating speed of the antenna is 12 degrees/second, the time resolution is 3 minutes and 60 degrees respectively, and the monitoring mode is used for monitoring whether a fire condition occurs in the coverage range of the radar;
the tracking mode adopts a sector scanning mode, the elevation angle is adjusted according to the height of a radar station and a monitoring range, and scanning is carried out in the range of 30 degrees respectively from left to right by taking a fire point as a center in the azimuth; the rotation speed of the antenna is 12 degrees/second, the time resolution comprises 1 minute and 2 minutes, and the time resolution respectively corresponds to a tracking mode of 60 degrees and a tracking mode of 120 degrees and is used for continuously tracking the fire after the monitoring mode finds the fire.
If only one fire point exists in the monitoring range, the X-band dual-polarization weather radar adopts a 60-degree tracking mode, namely scans the fire point in the azimuth and in the ranges of 30 degrees respectively from left to right; if a plurality of fire points exist in the X-band dual-polarization weather radar monitoring range, the monitoring ranges of the fire points are combined, when the combined range does not exceed 120 degrees in azimuth, a 120-degree tracking mode is selected for monitoring, and otherwise, the monitoring mode is continued to work.
The information center comprises a data receiving module, a data storage module, a comprehensive display module, a fire early warning module and a fire evaluation module;
the data receiving module is responsible for receiving the fire monitoring result uploaded by the radar and storing the fire monitoring result in the data storage module; the comprehensive display module displays the position of the fire by taking a geographic information system as a background, and performs auditory/visual early warning through the fire early warning module; and the fire condition evaluation module evaluates and decides the fire condition development situation according to the moving speed of the fire condition echo and the adjacent time echo area.
A fire monitoring and decision-making method based on an X-band dual-polarization weather radar network comprises the following steps:
step 1: reading radar detection data, and obtaining a series of echo blocks according to the echo distribution of the low elevation angle data;
step 2: judging whether the area of the echo block is in a given interval, if so, judging the echo block to be a fire echo, and entering the step 3: otherwise, the procedure is ended if the fire is not the fire echo;
and step 3: calling data of adjacent times, analyzing whether the position of the fire echo block is stable or not, and if so, entering the step 4; otherwise, ending the program;
and 4, step 4: respectively calculating the average intensity, the average correlation coefficient and the echo top height of the fire echo block, if the average intensity is smaller than a set threshold value, the average correlation coefficient is smaller than the set threshold value, and the echo top height is lower than 5km, judging that the fire echo block is an initial fire; if the average intensity is larger than a set threshold value, searching for an initial fire, matching echo blocks, and determining whether the echo blocks are fire echoes in development or not according to whether the echo blocks are diffused along the wind direction or not after matching is finished;
and 5: and evaluating the development of the fire by utilizing the area of the adjacent secondary fire echo and the speed data obtained by radar detection, thereby providing a basis for decision making.
The invention has the following beneficial effects:
1. the invention adopts the X-band weather radar networking technology for measurement, can improve the time and space resolution of fire monitoring, is not influenced by factors such as terrain, visibility and the like, and has low later maintenance cost.
2. The invention has the advantages of reasonable design scheme, good expandability, high space-time resolution and the like.
3. The invention can be used for monitoring the fire, can obtain detection data comprising information such as the fire time, the fire place, the fire development trend, the smoke diffusion influence, the fire control time and the like, provides scientific detection basis for fire suppression and rescue command, and can also be used as data support for fire history individual case investigation by reversely checking and analyzing historical data.
4. Research shows that by utilizing data of a new generation weather radar service operation mode of national weather bureau network deployment, the hit rate (POD) of the monitored fire is 79%, the False Alarm Rate (FAR) is 4%, and the critical success Index (ICS) is 76%, so that a good effect is achieved. In the invention, aiming at the problems of the service operation radar in monitoring the fire, the scheme of X-band dual-polarization weather radar networking is provided, the detection height, the sensitivity, the space-time resolution and the like are effectively solved, and the actual effect of the method is superior to the research result.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of an X-band weather radar networking in the present invention;
FIG. 3 is a flow chart of the automatic fire recognition algorithm of the present invention;
fig. 4 is a schematic diagram illustrating the switching of the operation modes according to the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, the fire monitoring and decision-making system based on the X-band dual-polarization weather radar network of the present invention includes one or more X-band dual-polarization weather radars (3 in the figure), a fire automatic identification module, a data transmission link, and an information center;
the X-band dual-polarization weather radar monitors the fire condition of a target area in real time, the automatic fire condition identification module detects various echoes such as rain, snow, hailstones, ground objects, bird groups, insects, fire conditions and the like in the target area through the X-band dual-polarization weather radar, and distinguishes the echoes one by one based on the characteristics of the echoes to realize automatic identification and evaluation of the fire condition;
the fire information monitored by the X-band dual-polarization weather radar is sent to the information center through the data transmission link, centralized display and early warning are carried out in the information center, the development trend of the fire is evaluated in real time, and a basis is provided for timely discovering and extinguishing the fire.
In the embodiment, the fire echo of the X-band dual-polarization weather radar can not only locate the geographical position of the fire, but also: the range of the fire is determined according to the area of the echo, the next development direction of the fire is determined according to the moving speed of the echo, the fire is tracked and predicted by using adjacent detection results, the fire evolution condition of the fire is evaluated, and a powerful basis is provided for extinguishing the fire.
In the embodiment, the data transmission link between each radar station and the information center can be a common channel or a special channel due to small data information amount; in the aspect of the mode, a wired network or a wireless network can be adopted.
In an embodiment, the system can be monitored in a networking mode through one or more X-band dual-polarization weather radars, and the monitoring is mainly determined by the range of a user interest area. The echo peak height of the fire on the weather radar generally does not exceed 5km, so no matter in a near area or a far area, the radar has a detection blind area: in the near zone, the height is generally not detected due to the limitation of the observation elevation angle; in the far zone, the longer the distance is due to the influence of the curvature of the earth, the higher the lowest height of the echo that can be detected by the radar is, and therefore beyond a certain distance, the radar cannot detect. In order to overcome the problem, the embodiment of the invention adopts a form of multi-X-waveband dual-polarization weather radar networking, supplements each other and monitors the area concerned by the user together.
As shown in fig. 2, when implementing radar networking, the layout of each radar is considered as much as possible to adopt an equilateral triangle form, and can be extended outwards infinitely when necessary, so that the maximum monitoring area under the same radar number can be ensured; the distance is equivalent to the radar detection distance, and the problem of a blind area in a short-distance area is solved. Of course, an adaptive optimization layout mode can be adopted according to the actual range of the monitoring area or the fire high-occurrence area.
In the embodiment, the X-band dual-polarization weather radar adopts a full-coherent pulse Doppler dual-polarization system and comprises an antenna, a feeder line, a transmitter, a receiver, a servo, a signal processing module and a data processing module;
the antenna is 2.4m long, the beam width is 1 degree, the gain is larger than or equal to 44dB, the feeder loss is smaller than or equal to 3dB, scanning is carried out at 0-360 degrees in azimuth, and the pitching coverage range is 0-30 degrees;
the transmitter adopts an all-solid-state system, the peak power is 200w, the pulse width is 1/40 mus, the transmitter receives in two paths, the dynamic range is more than or equal to 90dB, the noise coefficient is less than or equal to 3dB, and the sensitivity is less than or equal to-108 dBm;
the detection range of the X-band dual-polarization weather radar is suggested to be 60km, the distance resolution is 60m, and the output parameters comprise intensity, speed, spectrum width, differential reflectivity and correlation coefficient.
In an embodiment, the X-band dual-polarization weather radar includes two operating modes, namely a monitoring mode and a tracking mode, and since the initial fire echo is weak, the capability of detecting the weak echo is strong in any operating mode, and the difference between the two operating modes mainly lies in the scanning mode, so as to obtain different time resolutions under different conditions.
After a system is started, the X-band dual-polarization weather radar works in a monitoring mode, the monitoring mode adopts a 6-layer sweeping mode, the elevation angle is adjusted according to the station height and the monitoring range of the radar, but the detection requirement of the echo top height in the coverage area (not lower than 5km) is ensured, the rotating speed of an antenna is 12 degrees/second (namely 2 circles/minute), the time resolution is 3 minutes and 60 degrees respectively, and the X-band dual-polarization weather radar is used for monitoring whether a fire occurs in the coverage area of the radar;
in an embodiment, the operating parameters of the monitoring mode are as follows:
scanning mode: 6 layers are swept, the rotating speed of the antenna is 12 degrees/second (namely 2 circles/minute), the elevation angles are respectively 0.5 degrees, 1.8 degrees, 3.5 degrees, 5.5 degrees, 7.5 degrees and 10 degrees (the maximum detection height in the coverage range is ensured to be higher than 5km, the detection requirement of the echo top height is met), and the detection distance is as follows: and 60 km.
After the fire is identified, the working modes of the radars are adjusted according to the number and the distribution condition of the fire, and the fire can be monitored by adopting a tracking mode with higher time resolution.
The tracking mode adopts a sector scanning mode, the elevation angle is adjusted according to the height of a radar station and a monitoring range, and scanning is carried out in the range of 30 degrees respectively from left to right by taking a fire point as a center in the azimuth; the rotation speed of the antenna is 12 degrees/second, the time resolution comprises 1 minute and 2 minutes, and the two times correspond to a tracking mode of 60 degrees and a tracking mode of 120 degrees respectively and are used for carrying out rapid continuous tracking on the fire after the monitoring mode finds the fire.
In the embodiment, as shown in fig. 4, if there is only one fire point in the monitoring range of the X-band dual-polarization weather radar, a 60 ° tracking mode is adopted, that is, scanning is performed in 30 ° ranges, left and right, with the fire point as a center in the azimuth; if a plurality of fire points exist in the X-band dual-polarization weather radar monitoring range, the monitoring ranges of the fire points (the fire points are taken as the center in the azimuth, and the ranges of 30 degrees are respectively arranged on the left and the right) are merged, when the merged range is not more than 120 degrees in the azimuth, a 120-degree tracking mode is selected for monitoring, otherwise, the monitoring mode is continuously operated.
In the embodiment, the information center comprises a data receiving module, a data storage module, a comprehensive display module, a fire early warning module and a fire evaluation module;
the data receiving module is used for receiving the fire monitoring results uploaded by the radar and storing the fire monitoring results in the data storage module (a local or server database); the comprehensive display module displays the position of the fire by taking a geographic information system as a background, and performs auditory/visual early warning (configurable by a user) through the fire early warning module; the fire evaluation module evaluates and decides the development situation of the fire according to the moving speed of the movement of the fire echo and the area of the adjacent time echo, and in addition, a user can also reversely check and analyze historical data and provide data support for the historical investigation of the fire.
The weather radar can detect fire, and mainly has a scattering effect on radar electromagnetic waves after smoke particles generated by the fire rise into the air. In the initial stage of fire, the echo intensity is weak, the horizontal scale is small, and the correlation coefficient is small; when the fire is in a vigorous period, the intensity of the echo is obviously enhanced, and the echo expands outwards along the wind direction; in addition, the position of the fire echo is generally stable, and the echo top is not very high (not higher than 5 km). After the radar finishes one-time observation, the echo data is sent to the automatic fire recognition module, and the automatic fire recognition module automatically recognizes the fire by adopting the algorithm flow shown in FIG. 3 according to the characteristics of the fire echo.
The invention relates to a fire monitoring and decision-making method based on an X-band dual-polarization weather radar network, which comprises the following steps of:
step 1: reading radar detection data, and obtaining a series of echo blocks according to the echo distribution of the low elevation angle data;
step 2: judging whether the area of the echo block is in a given interval, if so, judging the echo block to be a fire echo, and entering the step 3: otherwise, the procedure is ended if the fire is not the fire echo;
and step 3: calling data of adjacent times, analyzing whether the position of the fire echo block is stable or not, and if so, entering the step 4; otherwise, ending the program;
and 4, step 4: respectively calculating the average intensity, the average correlation coefficient and the echo top height of the fire echo block, if the average intensity is smaller than a set threshold value, the average correlation coefficient is smaller than the set threshold value, and the echo top height is lower than 5km, judging that the fire echo block is an initial fire; if the average intensity is larger than a set threshold value, searching for an initial fire, matching echo blocks, and determining whether the echo blocks are fire echoes in development or not according to whether the echo blocks are diffused along the wind direction or not after matching is finished;
and 5: and evaluating the development of the fire by utilizing the area of the adjacent secondary fire echo and the speed data obtained by radar detection, thereby providing a basis for decision making.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (7)
1. A fire monitoring and decision-making system based on an X-band dual-polarization weather radar network is characterized in that:
the system comprises one or more X-band dual-polarization weather radars, a fire automatic identification module, a data transmission link and an information center;
the X-band dual-polarization weather radar monitors the fire of a target area in real time, and the automatic fire recognition module distinguishes the echoes one by one through various echoes in the target area detected by the X-band dual-polarization weather radar based on the characteristics of the various echoes to realize automatic recognition and evaluation of the fire;
the fire information monitored by the X-band dual-polarization weather radar is sent to the information center through the data transmission link, centralized display and early warning are carried out in the information center, the development trend of the fire is evaluated in real time, and a basis is provided for timely discovering and extinguishing the fire.
2. The fire monitoring and decision making system based on the X-band dual-polarization weather radar network as claimed in claim 1, wherein:
the multiple X-waveband dual-polarization weather radars form a radar networking, and each radar adopts an equilateral triangle form when the radars are networked; the radar spacing is comparable to the radar detection range.
3. The fire monitoring and decision making system based on the X-band dual-polarization weather radar network as claimed in claim 1, wherein:
the X-band dual-polarization weather radar adopts a full-coherent pulse Doppler dual-polarization system and comprises an antenna, a feeder line, a transmitter, a receiver, a servo, a signal processing module and a data processing module;
the antenna is 2.4m long, the beam width is 1 degree, the gain is larger than or equal to 44dB, the feeder loss is smaller than or equal to 3dB, scanning is carried out at 0-360 degrees in azimuth, and the pitching coverage range is 0-30 degrees;
the transmitter adopts an all-solid-state system, the peak power is 200w, the pulse width is 1/40 mus, the transmitter receives in two paths, the dynamic range is more than or equal to 90dB, the noise coefficient is less than or equal to 3dB, and the sensitivity is less than or equal to-108 dBm;
the X-band dual-polarization weather radar has the advantages that the detection range is 60km, the distance resolution is 60m, and the output parameters comprise intensity, speed, spectrum width, differential reflectivity and correlation coefficient.
4. The fire monitoring and decision making system based on the X-band dual-polarization weather radar network as claimed in claim 1, wherein:
the X-band dual-polarization weather radar comprises two working modes, namely a monitoring mode and a tracking mode, and after the system is started, the X-band dual-polarization weather radar works in the monitoring mode and is switched to the tracking mode when a fire is monitored;
the monitoring mode adopts a 6-layer sweeping mode, the elevation angle is adjusted according to the station height and the monitoring range of the radar, the rotating speed of the antenna is 12 degrees/second, the time resolution is 3 minutes and 60 degrees respectively, and the monitoring mode is used for monitoring whether a fire condition occurs in the coverage range of the radar;
the tracking mode adopts a sector scanning mode, the elevation angle is adjusted according to the height of a radar station and a monitoring range, and scanning is carried out in the range of 30 degrees respectively from left to right by taking a fire point as a center in the azimuth; the rotation speed of the antenna is 12 degrees/second, the time resolution comprises 1 minute and 2 minutes, and the time resolution respectively corresponds to a tracking mode of 60 degrees and a tracking mode of 120 degrees and is used for continuously tracking the fire after the monitoring mode finds the fire.
5. The fire monitoring and decision making system based on the X-band dual-polarization weather radar network as claimed in claim 4, wherein:
if only one fire point exists in the monitoring range of the X-band dual-polarization weather radar, a 60-degree tracking mode is adopted, namely scanning is carried out in the range of 30 degrees respectively left and right by taking the fire point as the center in the azimuth; if a plurality of fire points exist in the X-band dual-polarization weather radar monitoring range, the monitoring ranges of the fire points are combined, when the combined range does not exceed 120 degrees in azimuth, a 120-degree tracking mode is selected for monitoring, and otherwise, the monitoring mode is continued to work.
6. The fire monitoring and decision making system based on the X-band dual-polarization weather radar network as claimed in claim 1, wherein:
the information center comprises a data receiving module, a data storage module, a comprehensive display module, a fire early warning module and a fire evaluation module;
the data receiving module is responsible for receiving the fire monitoring result uploaded by the radar and storing the fire monitoring result in the data storage module; the comprehensive display module displays the position of the fire by taking a geographic information system as a background, and performs auditory/visual early warning through the fire early warning module; and the fire condition evaluation module evaluates and decides the fire condition development situation according to the moving speed of the fire condition echo and the adjacent time echo area.
7. A fire monitoring and decision-making method based on an X-band dual-polarization weather radar network is characterized by comprising the following steps: the method comprises the following steps:
step 1: reading radar detection data, and obtaining a series of echo blocks according to the echo distribution of the low elevation angle data;
step 2: judging whether the area of the echo block is in a given interval, if so, judging the echo block to be a fire echo, and entering the step 3: otherwise, the procedure is ended if the fire is not the fire echo;
and step 3: calling data of adjacent times, analyzing whether the position of the fire echo block is stable or not, and if so, entering the step 4; otherwise, ending the program;
and 4, step 4: respectively calculating the average intensity, the average correlation coefficient and the echo top height of the fire echo block, if the average intensity is smaller than a set threshold value, the average correlation coefficient is smaller than the set threshold value, and the echo top height is lower than 5km, judging that the fire echo block is an initial fire; if the average intensity is larger than a set threshold value, searching for an initial fire, matching echo blocks, and determining whether the echo blocks are fire echoes in development or not according to whether the echo blocks are diffused along the wind direction or not after matching is finished;
and 5: and evaluating the development of the fire by utilizing the area of the adjacent secondary fire echo and the speed data obtained by radar detection, thereby providing a basis for decision making.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112270059A (en) * | 2020-10-19 | 2021-01-26 | 泰州市气象局 | Weather radar networking strategy evaluation method and system |
| CN112505707A (en) * | 2021-01-29 | 2021-03-16 | 成都远望探测技术有限公司 | X-waveband dual-polarization rapid scanning phased array weather radar |
| CN113391308A (en) * | 2021-05-21 | 2021-09-14 | 雷探科技(深圳)有限公司 | X-waveband all-solid-state dual-polarization Doppler radar for monitoring fire smoke particles |
| CN113466856A (en) * | 2021-08-04 | 2021-10-01 | 广州市气象台 | Forest fire early stage identification and early warning method based on X-band dual-polarization phased array radar |
| CN114019515A (en) * | 2022-01-10 | 2022-02-08 | 湖南宜通华盛科技有限公司 | Weather radar and azimuth tracking detection method and system thereof, equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8248298B2 (en) * | 2008-10-31 | 2012-08-21 | First Rf Corporation | Orthogonal linear transmit receive array radar |
| CN104730524A (en) * | 2015-03-11 | 2015-06-24 | 马舒庆 | Array weather radar detection system and method |
| CN105242273A (en) * | 2015-05-26 | 2016-01-13 | 芜湖航飞科技股份有限公司 | X-band dual-polarization Doppler weather radar system |
| CN106228734A (en) * | 2016-07-29 | 2016-12-14 | 国网电力科学研究院武汉南瑞有限责任公司 | The monitoring of a kind of mountain fire based on miniradar and localization method |
| CN106872973A (en) * | 2017-04-26 | 2017-06-20 | 福建省龙岩市气象局 | The method monitored using CINRAD/SA weather radars and track forest fires echo |
| CN206322291U (en) * | 2016-12-27 | 2017-07-11 | 国网山西省电力公司电力科学研究院 | A kind of transmission line forest fire monitoring and prior-warning device based on multispectral heat energy monitoring radar |
| CN107741587A (en) * | 2017-09-15 | 2018-02-27 | 北京无线电测量研究所 | A kind of meteorological detection method and system of dimensional wind |
| CN207337594U (en) * | 2017-07-11 | 2018-05-08 | 国网福建省电力有限公司 | A kind of transmission line forest fire early warning system based on weather radar scanning |
| CN109061650A (en) * | 2018-08-10 | 2018-12-21 | 北京无线电测量研究所 | Networking detection method and system based on array weather radar |
| CN110297246A (en) * | 2019-07-16 | 2019-10-01 | 上海市气象信息与技术支持中心 | A kind of cooperative self-adapted control method of networking X-band weather radar and system |
-
2019
- 2019-10-16 CN CN201910982472.4A patent/CN110596710A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8248298B2 (en) * | 2008-10-31 | 2012-08-21 | First Rf Corporation | Orthogonal linear transmit receive array radar |
| CN104730524A (en) * | 2015-03-11 | 2015-06-24 | 马舒庆 | Array weather radar detection system and method |
| CN105242273A (en) * | 2015-05-26 | 2016-01-13 | 芜湖航飞科技股份有限公司 | X-band dual-polarization Doppler weather radar system |
| CN106228734A (en) * | 2016-07-29 | 2016-12-14 | 国网电力科学研究院武汉南瑞有限责任公司 | The monitoring of a kind of mountain fire based on miniradar and localization method |
| CN206322291U (en) * | 2016-12-27 | 2017-07-11 | 国网山西省电力公司电力科学研究院 | A kind of transmission line forest fire monitoring and prior-warning device based on multispectral heat energy monitoring radar |
| CN106872973A (en) * | 2017-04-26 | 2017-06-20 | 福建省龙岩市气象局 | The method monitored using CINRAD/SA weather radars and track forest fires echo |
| CN207337594U (en) * | 2017-07-11 | 2018-05-08 | 国网福建省电力有限公司 | A kind of transmission line forest fire early warning system based on weather radar scanning |
| CN107741587A (en) * | 2017-09-15 | 2018-02-27 | 北京无线电测量研究所 | A kind of meteorological detection method and system of dimensional wind |
| CN109061650A (en) * | 2018-08-10 | 2018-12-21 | 北京无线电测量研究所 | Networking detection method and system based on array weather radar |
| CN110297246A (en) * | 2019-07-16 | 2019-10-01 | 上海市气象信息与技术支持中心 | A kind of cooperative self-adapted control method of networking X-band weather radar and system |
Non-Patent Citations (2)
| Title |
|---|
| 周树道等: "《现代气象雷达》", 31 December 2017 * |
| 许旭等: "分布式网络天气雷达设计", 《微波学报》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112270059A (en) * | 2020-10-19 | 2021-01-26 | 泰州市气象局 | Weather radar networking strategy evaluation method and system |
| CN112505707A (en) * | 2021-01-29 | 2021-03-16 | 成都远望探测技术有限公司 | X-waveband dual-polarization rapid scanning phased array weather radar |
| CN113391308A (en) * | 2021-05-21 | 2021-09-14 | 雷探科技(深圳)有限公司 | X-waveband all-solid-state dual-polarization Doppler radar for monitoring fire smoke particles |
| CN113466856A (en) * | 2021-08-04 | 2021-10-01 | 广州市气象台 | Forest fire early stage identification and early warning method based on X-band dual-polarization phased array radar |
| CN114019515A (en) * | 2022-01-10 | 2022-02-08 | 湖南宜通华盛科技有限公司 | Weather radar and azimuth tracking detection method and system thereof, equipment and storage medium |
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