CN115932859A - Power grid icing water particle phase recognition method and system based on millimeter wave cloud radar - Google Patents
Power grid icing water particle phase recognition method and system based on millimeter wave cloud radar Download PDFInfo
- Publication number
- CN115932859A CN115932859A CN202211632725.3A CN202211632725A CN115932859A CN 115932859 A CN115932859 A CN 115932859A CN 202211632725 A CN202211632725 A CN 202211632725A CN 115932859 A CN115932859 A CN 115932859A
- Authority
- CN
- China
- Prior art keywords
- phase
- ice
- phase state
- parameter
- millimeter wave
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention relates to the technical field of power transmission and distribution, and discloses a method and a system for identifying ice-coated water particle phase state of a power grid based on a millimeter wave cloud radar, which are used for monitoring the ice-coated condition of a line by identifying the phase state of supercooled water, so that the anti-ice early warning capability of the power grid is improved. The method comprises the following steps: setting a detection range according to the coordinate position of the line easy to cover ice, and collecting a reflectivity factor, a radial velocity, a spectrum width, a linear depolarization ratio and a temperature to obtain a weather phenomenon of a detection point for recording W; determining 6 phase states of water particles influencing ice coating, namely 6 phase states of freezing rain, freezing fog, ice crystals, snow, rain and a mixed state, screening weather phenomena of the 6 phase states from the record W, and selecting corresponding detection data to form an analysis water particle phase state analysis database Q; for each parameter in the phase state analysis database Q, establishing an analysis function for each phase state; and performing phase polymerization calculation according to the analysis function and each parameter, and selecting the phase with the maximum polymerization value as the category of the water particles detected by the corresponding detector.
Description
Technical Field
The invention relates to the technical field of power transmission and distribution, in particular to a method and a system for identifying icing water particle phase state of a power grid based on a millimeter wave cloud radar.
Background
In recent years, with global climate change, icing areas are continuously expanded, more power transmission lines begin to encounter icing disasters, and the safety of power grids is threatened. In order to accurately and effectively carry out early warning work of line icing and obtain real-time information of the line icing, monitoring needs to be carried out aiming at water particles causing the power grid icing urgently.
At present, a power grid company adopts a microclimate icing monitoring device to acquire the icing monitoring condition of the current position. When icing, the environment is severe, resulting in large monitoring condition deviations. By adopting manual observation, the visibility is low during ice coating, so that the ice coating of the line is difficult to accurately observe from the lower part of the line, and personnel cannot reach the ice coating site of the line due to the influence of icing. At present, a meteorological department and an aviation department can monitor the rainfall condition in real time through a radar technology, mainly aiming at the strong convection weather in summer, and less analysis is carried out in winter. Therefore, the accurate acquisition of the supercooled water content in the air is the premise and key for monitoring the line icing.
Disclosure of Invention
The invention aims to disclose a method and a system for identifying the phase state of ice-coated water particles of a power grid based on a millimeter wave cloud radar, so that the ice-coated condition of a line is monitored by identifying the phase state of supercooled water, and the anti-icing early warning capability of the power grid is further improved.
In order to achieve the purpose, the method for identifying the phase state of the ice-coated water particles of the power grid based on the millimeter wave cloud radar comprises the following steps:
s1, setting a detection range according to the coordinate position of an ice-prone line, collecting a reflectivity factor, a radial velocity, a spectrum width, a linear depolarization ratio and a temperature, and recording the weather phenomenon of a detection point W;
s2, determining 6 phase states of water particles influencing ice coating, namely, frozen rain, frozen fog, ice crystals, snow, rain and a mixed state, screening the weather phenomena of the 6 phase states from the record W, and selecting corresponding detection data to form an analysis water particle phase state analysis database Q;
s3, for each parameter in the phase state analysis database Q, establishing an analysis function for each phase state;
and S4, performing phase polymerization calculation according to the analysis function and each parameter, and selecting the phase with the maximum polymerization value as the category of the water particles detected by the corresponding detector.
Preferably, the step S1 specifically includes:
setting a detection vertical range S by taking an ice-coated line tower as a center M, starting detection, and transmitting polarized waves through a millimeter wave dual-polarization weather radar so as to obtain at least five parameters consisting of a reflectivity factor, a radial velocity, a spectrum width, a linear depolarization ratio and a temperature; measuring a vertical temperature profile of the central point M through a microwave radiometer, wherein the vertical range is also S, interpolating the measured vertical temperature profile to a point position measured by the millimeter wave radar, and after interpolation, the vertical resolution is r; the weather phenomenon at the probe point M is then recorded W.
Preferably, for each parameter j in the step S3, for each phase i, the established analysis function Pij specifically is:
wherein x is a measured value of a parameter j belonging to a phase i in the data; x 1 、X 2 、X 3 、X 4 The calculation formula of (c) is:
X 1 ＝Q ijmin -Qi jstd
X 2 ＝Q ijmin +Q ijstd
X 3 ＝Q ijmax -Q ijstd
X 4 ＝Q ijmax +Q ijstd
wherein Q ijmax 、Q ijmin And Q ijstd The maximum, minimum and standard deviation values for the parameter j in the database Q are calculated for the phase i, respectively.
Preferably, in step S4, the specific formula of the phase polymerization calculation is as follows:
wherein S is i Representing the aggregate value of all parameters for the i-th type of particle, coefficient A j And representing the weight coefficient of the j parameter to the judgment result.
In order to achieve the above object, the present invention further discloses a system for identifying an icing water particle phase state of a power grid based on a millimeter wave cloud radar, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the above method when executing the computer program.
The invention has the following beneficial effects:
1. according to the invention, through analyzing the function, the radar and the temperature detection parameter are skillfully combined for judging the type of the water particle.
2. The method has good universality and can be used for judging and identifying the water particle types of radar detection results in different regions.
3. By adopting the technology of the invention, the automatic prediction of the water particle type can be realized, the water particles influencing the icing can be rapidly identified, the icing measurement capability is improved, and the anti-icing work of the power transmission line is supported.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a method for identifying a phase state of ice-coated water particles of a power grid based on a millimeter wave cloud radar, which is disclosed by the embodiment of the invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1
The embodiment discloses a method for identifying a phase state of ice-coated water particles of a power grid based on a millimeter wave cloud radar. The method comprises the following specific steps:
(1) Detection feature data collection
And setting a detection vertical range S by taking the ice-coated line tower as a center M, starting detection, and transmitting polarized waves through a millimeter wave dual-polarization weather radar so as to obtain parameters such as a reflectivity factor, a radial velocity, a spectrum width, a linear depolarization ratio, temperature and the like. And measuring the vertical temperature profile of the central point M through a microwave radiometer, wherein the vertical range is also S, interpolating the measured vertical temperature profile to the point position measured by the millimeter wave radar, and after interpolation, the vertical resolution is r. The weather phenomenon at the detection point M is recorded W.
(2) Water particle phase state labeling treatment
The water particle phase state affecting ice coating is determined to be 6 phase states such as freezing rain, freezing fog, ice crystal, snow, rain, mixed state and the like. And (2) collecting weather phenomena W through the step (1), screening the weather phenomena in 6 phases, and selecting corresponding detection data to form an analysis water particle phase analysis database Q.
(3) Water particle single phase state classification analysis
Aiming at the phase state analysis database Q established in the step (2), establishing an analysis function P for each parameter j and each phase state i ij 。
Wherein x is a measured value of the parameter j belonging to the phase i in the data.
For phase i, calculate the maximum value Q for parameter j in database Q ijmax Minimum value Q ijmin And standard deviation value Q ijstd 。
X 1 ＝Q ijmin -Qi jstd
X 2 ＝Q ijmin +Q ijstd
X 3 ＝Q ijmax -Q ijstd
X 4 ＝Q ijmax +Q ijstd
(4) Calculation of phase polymerization value
Performing polymerization calculation according to the phase state analysis function in the step (3) and the parameters measured in the step (1) to obtain a calculated value S of the i-th type particles i 。
S i Representing the aggregate value of all parameters for the i-th type of particle, coefficient A j And representing the weight coefficient of the j parameter to the judgment result.
(5) Water particle type discrimination
In the calculating step (4), the maximum value S of the aggregation value is calculated m ＝max(S i ) The category corresponding to the maximum value is the category of the detected water particles.
The following is further illustrated with reference to a specific example:
a detection vertical range is set to be 3km by taking a 1# tower of a certain 220kV icing line as a center, detection is started, polarized waves are transmitted by a millimeter wave dual-polarization weather radar, so that parameters such as a reflectivity factor, a radial speed, a spectrum width and a linear depolarization ratio are obtained, and the vertical resolution is 100m through a microwave radiometer. And measuring the vertical temperature profile of the central point by using a microwave radiometer, wherein the vertical range is also 3km, interpolating the measured vertical profile to the point position measured by the millimeter wave radar, and after interpolation, the vertical resolution is 100m. The weather phenomenon of the probe point M is recorded W. The reflectivity factor, radial velocity, spectral width, linear depolarization ratio and temperature are respectively obtained by measurement, namely-5, 0, 1, -20 and-3.
The water particle phase state affecting ice coating is determined to be 6 phase states such as freezing rain, freezing fog, ice crystal, snow, rain, mixed state and the like. The threshold for each water particle type analysis is shown in table 1:
TABLE 1 Water particle type analysis threshold
In this example, the weight coefficients for all types of particles are 1, and the values for the 6 types of particles are calculated to be 3.2, 4, 2, 3.7, 1.8, and 2.3, respectively. Thus, the maximum value is 4, corresponding to the second type of particles, which is sleet.
In summary, the method of this embodiment can be summarized as the steps shown in fig. 1:
s1, setting a detection range according to the coordinate position of the line easy to cover ice, collecting a reflectivity factor, a radial velocity, a spectrum width, a linear depolarization ratio and a temperature, and recording the weather phenomenon of a detection point W.
S2, determining 6 phase states of the water particles influencing ice coating, namely, frozen rain, frozen fog, ice crystals, snow, rain and a mixed state, screening the weather phenomena of the 6 phase states from the record W, and selecting corresponding detection data to form an analysis water particle phase state analysis database Q.
And S3, for each parameter in the phase state analysis database Q, establishing an analysis function for each phase state.
And S4, carrying out phase state polymerization calculation according to the analysis function and each parameter, and selecting the phase state with the maximum polymerization value as the category of the water particles detected by the corresponding detector.
Example 2
Corresponding to the above embodiments, the present embodiment discloses a system for identifying an icing water particle phase state on the basis of a millimeter wave cloud radar power grid, which includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the method corresponding to the above embodiments when executing the computer program.
In summary, the method and system disclosed in the above embodiments of the present invention at least have the following advantages:
1. the invention skillfully combines the radar and the temperature detection parameter by analyzing the function and is used for judging the type of the water particle.
2. The method has good universality and can be used for judging and identifying the water particle types of radar detection results in different regions.
3. By adopting the technology provided by the invention, the automatic prediction of the water particle type can be realized, the water particles influencing the icing can be quickly identified, the icing measurement capability is improved, and the anti-icing work of the power transmission line is supported.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A power grid icing water particle phase state identification method based on a millimeter wave cloud radar is characterized by comprising the following steps:
s1, setting a detection range according to the coordinate position of an ice-prone line, collecting a reflectivity factor, a radial velocity, a spectrum width, a linear depolarization ratio and a temperature, and recording the weather phenomenon of a detection point W;
s2, determining 6 phase states of water particles influencing ice coating, namely, frozen rain, frozen fog, ice crystals, snow, rain and mixed states, screening weather phenomena of the 6 phase states from the record W, and selecting corresponding detection data to form an analysis water particle phase state analysis database Q;
s3, for each parameter in the phase state analysis database Q, establishing an analysis function for each phase state;
and S4, carrying out phase state polymerization calculation according to the analysis function and each parameter, and selecting the phase state with the maximum polymerization value as the category of the water particles detected by the corresponding detector.
2. The method according to claim 1, wherein the step S1 specifically comprises:
setting a detection vertical range S by taking an ice-coated line tower as a center M, starting detection, and transmitting polarized waves through a millimeter wave dual-polarization weather radar so as to obtain at least five parameters consisting of a reflectivity factor, a radial velocity, a spectrum width, a linear depolarization ratio and a temperature; measuring a vertical temperature profile of the central point M through a microwave radiometer, wherein the vertical range is also S, interpolating the measured vertical temperature profile to a point position measured by the millimeter wave radar, and after interpolation, the vertical resolution is r; the weather phenomenon at the probe point M is then recorded W.
3. Method according to claim 1 or 2, characterized in that in step S3 for each parameter j, for each phase i, an analytical function P is established ij The method specifically comprises the following steps:
wherein x is a measured value of a parameter j belonging to a phase i in the data; x 1 、X 2 、X 3 、X 4 The calculation formula of (2) is as follows:
X 1 ＝Q ijmin -Qi jstd
X 2 ＝Q ijmin +Q ijstd
X 3 ＝Q ijmax -Q ijstd
X 4 ＝Q ijmax +Q ijstd
wherein Q is ijmax 、Q ijmin And Q ijstd The maximum, minimum and standard deviation values for the parameter j in the database Q are calculated for the phase i, respectively.
4. The method according to claim 3, wherein in step S4, the specific formula of the phase polymerization calculation is as follows:
wherein S is i Representing the aggregate value of all parameters for the i-th type of particle, coefficient A j And representing the weight coefficient of the j parameter to the judgment result.
5. A power grid icing water particle phase state identification system based on a millimeter wave cloud radar, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the method of any one of the preceding claims 1 to 4 when executing the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211632725.3A CN115932859A (en) | 2022-12-19 | 2022-12-19 | Power grid icing water particle phase recognition method and system based on millimeter wave cloud radar |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211632725.3A CN115932859A (en) | 2022-12-19 | 2022-12-19 | Power grid icing water particle phase recognition method and system based on millimeter wave cloud radar |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115932859A true CN115932859A (en) | 2023-04-07 |
Family
ID=86553993
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211632725.3A Pending CN115932859A (en) | 2022-12-19 | 2022-12-19 | Power grid icing water particle phase recognition method and system based on millimeter wave cloud radar |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115932859A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116108338A (en) * | 2023-04-13 | 2023-05-12 | 北京弘象科技有限公司 | Dynamic set identification method and device for particle phase state |
-
2022
- 2022-12-19 CN CN202211632725.3A patent/CN115932859A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116108338A (en) * | 2023-04-13 | 2023-05-12 | 北京弘象科技有限公司 | Dynamic set identification method and device for particle phase state |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101531224B1 (en) | Quantitative precipitation estimation system based dual polarization radars and method thereof | |
| Crane | Automatic cell detection and tracking | |
| CN106950614B (en) | A kind of region automatic weather station hour rainfall data method of quality control | |
| US20230161073A1 (en) | Thunderstorm gale early-warning method, system, equipment, and terminal | |
| US8601864B1 (en) | Dual-polarization weather radar data system and method | |
| Schrom et al. | Connecting microphysical processes in Colorado winter storms with vertical profiles of radar observations | |
| JP3794361B2 (en) | Radar signal processing apparatus and radar signal processing method | |
| US8984939B1 (en) | Dual-polarization weather radar data system and method | |
| CN110082842A (en) | A kind of precipitation estimation method and device | |
| US11899103B2 (en) | Dual-polarization weather radar data system and method | |
| CN106225843A (en) | A kind of transmission line of electricity wide area icing monitoring and pre-alarming method based on miniradar | |
| EP3951439B1 (en) | Advection fog forecasting system and forecasting method | |
| US9519057B1 (en) | Dual-polarization weather radar data system and method | |
| CN115932859A (en) | Power grid icing water particle phase recognition method and system based on millimeter wave cloud radar | |
| Hu et al. | Tracking and characterization of convective cells through their maturation into stratiform storm elements using polarimetric radar and lightning detection | |
| Brémaud et al. | Forecasting heavy rainfall from rain cell motion using radar data | |
| Smith et al. | Applications of radar to meteorological operations and research | |
| Hartung et al. | An intercomparison of UW cloud-top cooling rates with WSR-88D radar data | |
| CN113239506A (en) | Tower deformation and wire galloping risk assessment model based on typhoon weather | |
| Tao et al. | Snow particle size distribution from a 2-D video disdrometer and radar snowfall estimation in east China | |
| CN113866849A (en) | Intelligent inland river shipping meteorological service guarantee system | |
| KR102577701B1 (en) | Method and Apparatus for Detection of Potential Refreezing Rain Area using Dual-polarimetric variables and Wet-bulb Temperature | |
| Tobin et al. | Refreezing of Partially Melted Hydrometeors: Polarimetric Radar Observations and Microphysical Model Simulations | |
| CN116540194A (en) | Method and system for quantitative inversion calculation of icing of radar remote sensing power grid | |
| Handong et al. | An observational study of precipitation types in the Alaskan Arctic |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |