CN218513040U - Meteorological disaster joint monitoring and early warning device - Google Patents
Meteorological disaster joint monitoring and early warning device Download PDFInfo
- Publication number
- CN218513040U CN218513040U CN202222502156.2U CN202222502156U CN218513040U CN 218513040 U CN218513040 U CN 218513040U CN 202222502156 U CN202222502156 U CN 202222502156U CN 218513040 U CN218513040 U CN 218513040U
- Authority
- CN
- China
- Prior art keywords
- meteorological
- early warning
- road surface
- monitoring
- disaster
- 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.)
- Active
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
- Emergency Alarm Devices (AREA)
Abstract
The utility model relates to a meteorological disaster joint monitoring early warning device, include: the intelligent weather monitoring station is used for acquiring environmental parameters and road surface parameters; the environmental parameters comprise air temperature, air humidity, atmospheric pressure, illumination intensity, wind speed, wind direction, rainfall, PM2.5 content and PM10 content; the road surface parameters comprise road surface temperature, road surface humidity, road surface water film height, road surface friction coefficient and road surface freezing point temperature; the MQTTX Internet of things platform is respectively in communication connection with the intelligent meteorological monitoring station and the meteorological disaster early warning platform and is used for transmitting the environmental parameters and the road surface parameters to the meteorological disaster early warning platform; and the meteorological disaster early warning platform is used for alarming the meteorological disaster according to a set threshold value. The utility model discloses an utilize intelligent meteorological monitoring station to gather multiple environmental parameter and road surface parameter to report to the police to meteorological disaster based on this, synthesized multiple environmental factor, improved the rate of accuracy that meteorological disaster reported to the police greatly.
Description
Technical Field
The utility model relates to a meteorological disaster monitoring technology field especially relates to a meteorological disaster joint monitoring early warning device.
Background
Extreme weather such as rainstorm, heavy snow, congealing, freezing, heavy fog and the like is a natural enemy of highway traffic, and the safe operation of the highway is greatly influenced. The main threats of traffic safety in winter are snowfall and road ice condensation, and particularly the initial price segment of snowfall and the early formation stage of road ice condensation are the high-incidence periods of traffic accidents. Today, the elimination of any hidden danger threatening the life safety of drivers and passengers on the expressway is the responsibility of each road manager to make an indelible.
The existing meteorological disaster monitoring device only sends out meteorological disaster early warning through a single environmental factor, and the alarm accuracy rate is low.
SUMMERY OF THE UTILITY MODEL
In order to overcome the defects of the prior art, the utility model aims to provide a meteorological disaster joint monitoring and early warning device.
In order to achieve the above object, the utility model provides a following scheme:
a meteorological disaster joint monitoring and early warning device comprises:
the intelligent weather monitoring station is used for acquiring environmental parameters and road surface parameters; the environmental parameters comprise air temperature, air humidity, atmospheric pressure, illumination intensity, wind speed, wind direction, rainfall, PM2.5 content and PM10 content; the road surface parameters comprise road surface temperature, road surface humidity, road surface water film height, road surface friction coefficient, road surface icing condition and road surface freezing point temperature;
the MQTTX Internet of things platform is in communication connection with the intelligent weather monitoring station and the weather disaster early warning platform respectively and is used for transmitting the environmental parameters and the road surface parameters to the weather disaster early warning platform; and the meteorological disaster early warning platform is used for alarming meteorological disasters according to set threshold values.
Preferably, the intelligent weather monitoring station comprises:
the meteorological environment sensor is used for acquiring the environmental parameters;
the remote sensing type road surface sensor is used for acquiring the road surface parameters;
and the data acquisition unit is respectively connected with the meteorological environment sensor, the remote sensing type road surface sensor and the MQTTX Internet of things platform and is used for uploading the environmental parameters and the road surface parameters to the MQTTX Internet of things platform.
Preferably, the meteorological environment sensor and the remote sensing type road surface sensor are in communication connection with the data collector through a modbus-485 protocol.
Preferably, the intelligent weather monitoring station further comprises:
and the camera is connected with the meteorological disaster early warning platform through a video streaming service platform, is used for monitoring the road environment in real time and uploads the road environment to the meteorological disaster early warning platform for display.
Preferably, the video streaming service platform is in communication connection with the meteorological disaster early warning platform through an RTSP protocol.
Preferably, the method further comprises the following steps:
and the weather station state monitoring module is used for monitoring the working state parameters of the weather station and giving an alarm when the working state parameters of the weather station exceed a preset threshold value.
Preferably, the weather station operating state parameters include: the system comprises a solar power supply state, a storage battery working voltage, a temperature in a weather station and a sensor working state parameter.
Preferably, the weather station status monitoring module comprises:
the working state parameter monitoring module is used for acquiring working state parameters of the meteorological station;
and the weather station abnormity alarm module is used for uploading the weather station working state parameters exceeding a preset threshold value to the weather disaster early warning platform.
According to the utility model provides a concrete embodiment, the utility model discloses a following technological effect:
the utility model provides a pair of meteorological disaster joint monitoring early warning device's beneficial effect lies in: compared with the prior art, the utility model discloses an utilize intelligent meteorological monitoring station to gather multiple environmental parameter and road surface parameter to report to the police to the meteorological disaster based on this, synthesized multiple environmental factor, improved the rate of accuracy that the meteorological disaster reported to the police greatly.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a schematic diagram of the meteorological disaster joint monitoring and early warning device provided by the utility model;
fig. 2 is an overall architecture diagram of the meteorological disaster joint monitoring and early warning device provided by the utility model;
fig. 3 is the utility model provides a meteorological disaster early warning platform early warning flow chart.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description.
Referring to fig. 1, a meteorological disaster joint monitoring and early warning device includes: the system comprises an intelligent weather monitoring station, an MQTTX Internet of things platform and a weather disaster early warning platform.
The intelligent weather monitoring station is used for acquiring environmental parameters and road surface parameters; the environmental parameters comprise air temperature, air humidity, atmospheric pressure, illumination intensity, wind speed, wind direction, rainfall, PM2.5 content and PM10 content; the road surface parameters comprise road surface temperature, road surface humidity, road surface water film height, road surface friction coefficient, road surface icing condition and road surface freezing point temperature;
the MQTTX Internet of things platform is in communication connection with the intelligent weather monitoring station and the weather disaster early warning platform respectively and is used for transmitting the environmental parameters and the road surface parameters to the weather disaster early warning platform; and the meteorological disaster early warning platform is used for alarming meteorological disasters according to set threshold values. In this embodiment, the mqtx internet of things platform is MQX 4.0.0.
Further, the intelligent weather monitoring station includes: meteorological environment sensor, remote sensing formula road surface sensor and data collection station.
A meteorological environment sensor for collecting the environmental parameters; the remote sensing type road surface sensor is used for acquiring the road surface parameters; the data acquisition unit is respectively connected with the meteorological environment sensor, the remote sensing type road surface sensor and the MQTTX Internet of things platform and is used for uploading the environmental parameters and the road surface parameters to the MQTTX Internet of things platform; and the camera is connected with the meteorological disaster early warning platform through a video streaming service platform, is used for monitoring the pavement environment in real time, and uploads the pavement environment to the meteorological disaster early warning platform for display. In the embodiment, the meteorological environment sensor is SenseCAP ONE S900, the remote sensing type road sensor is ASHUR-RD3000, the data collector is 4G-SH-02, and the camera is iDS-2DE6C440IW-KZ/GLT (S5).
It should be noted that the utility model discloses a meteorological environment sensor with remote sensing formula road surface sensor pass through modbus-485 agreement with data collection station communication connection. And the video streaming service platform is in communication connection with the meteorological disaster early warning platform through an RTSP protocol.
Further, the utility model discloses a meteorological disaster joint monitoring early warning device still includes: weather station state monitoring module.
And the weather station state monitoring module is used for monitoring the working state parameters of the weather station and giving an alarm when the working state parameters of the weather station exceed a preset threshold value. The weather station working state parameters comprise: the system comprises a solar power supply state, a storage battery working voltage, a temperature in a weather station and a sensor working state parameter.
In this embodiment, the weather station state monitoring module includes: the system comprises a working state parameter monitoring module and a weather station abnormity alarm module.
The working state parameter monitoring module is used for acquiring working state parameters of the weather station; and the weather station abnormity alarm module is used for uploading the weather station working state parameters exceeding a preset threshold value to the weather disaster early warning platform.
Referring to fig. 2 and 3, the meteorological disaster early warning platform of the present invention includes the following functions:
(1) Monitoring the weather environment live condition:
the platform monitors the meteorological environment data of the highway in real time, parameters such as air temperature, air humidity, atmospheric pressure, illumination intensity, wind speed, wind direction, rainfall, PM2.5 and PM10 monitored by the meteorological environment sensors are displayed on the platform in real time, and the real-time condition or historical change of the meteorological environment of the point location can be checked by checking each intelligent meteorological monitoring station.
(2) Road surface condition monitoring
The platform monitors various data such as highway pavement temperature, pavement humidity, pavement water film height, icy road condition, road friction coefficient, road freezing point temperature in real time through remote sensing formula pavement sensor, can look over the real-time situation on this position road surface through looking over each intelligent meteorological monitoring station.
(3) Live monitoring
The platform is linked with the videos of the intelligent weather monitoring stations, so that the weather environment and the road surface condition of each intelligent weather monitoring station point can be monitored in real time, and the on-site condition is confirmed.
(4) Refined road network weather early warning forecast
The platform can monitor the meteorological environment and the road surface condition of the highway, and realize the meteorological disaster early warning and the adjacent forecast of the highway.
4.1 high impact weather early warning
The platform can analyze meteorological environment monitoring data, real-time monitor weather that strong wind, high temperature, torrential rain etc. influence highway vehicle safety traffic, carry out hierarchical early warning to the bad weather that highway appears. After the platform gives an early warning to severe weather, relevant early warning information is displayed on a platform page, meanwhile, the color of the weather station icon corresponding to the GIS map is synchronously changed according to severe weather in a grading mode, and the weather station icon is clicked to view the weather environment data of the point section.
4.2 gale early warning classification:
blue early warning: the lowest temperature is about to drop by more than 8 ℃ within 48 hours, the lowest temperature is less than or equal to 4 ℃, and the average land wind power can reach more than 5 grades; or the temperature is reduced by more than 8 ℃, the lowest temperature is less than or equal to 4 ℃, and the average wind power reaches more than 5 grades and can be continuous.
Yellow early warning: the lowest temperature is about to drop by more than 10 ℃ within 24 hours, the lowest temperature is less than or equal to 4 ℃, and the average land wind power can reach more than 6 grades; or the temperature is reduced by more than 10 ℃, the lowest temperature is less than or equal to 4 ℃, and the average wind power reaches more than 6 grades and can be continued.
Orange early warning: the lowest temperature is about to drop by more than 12 ℃ within 24 hours, the lowest temperature is less than or equal to 0 ℃, and the average land wind power can reach more than 6 grades; or the temperature is reduced by more than 12 ℃, the lowest temperature is less than or equal to 0 ℃, and the average wind power reaches more than 6 grades and can be continued.
Red early warning: the lowest temperature is about to drop by more than 16 ℃ within 24 hours, the lowest temperature is less than or equal to 0 ℃, and the average land wind power can reach more than 6 grades; or the temperature is reduced by more than 16 ℃, the lowest air temperature is less than or equal to 0 ℃, and the average wind power reaches more than 6 grades and can be continuous.
4.3 high-temperature early warning classification:
yellow early warning: the maximum temperature will be above 35 ℃ on consecutive three days.
Orange early warning: the maximum temperature will rise to above 37 c within 24 hours.
And (4) red early warning: the maximum temperature will rise to above 40 ℃ within 24 hours.
4.4 rainstorm early warning grading:
blue early warning: the rainfall will be above 50 mm in 12 hours, or already above 50 mm and the rainfall may continue.
Yellow early warning: the amount of rainfall will be above 50 mm in 6 hours, or already above 50 mm and the rainfall may be persistent.
Orange early warning: the rainfall will be above 50 mm in 3 hours, or already above 50 mm and the rainfall may be continuous.
Red early warning: the rainfall will be above 100 mm in 3 hours, or already above 100 mm and the rainfall may continue.
4.5 early warning of abnormal road surface conditions
The platform can analyze the accurate monitoring data of the remote sensing type pavement sensor, and realize real-time monitoring alarm and close-on early warning of pavement water, ice, snow and ice-water mixture. After the platform gives an early warning to the abnormal road condition, the relevant early warning information is displayed on a platform page, meanwhile, the color of a weather station icon corresponding to the GIS map is changed into red, and the weather station icon is clicked to view the relevant road condition data of the road section at the point position.
(5) Statistical analysis of data
The platform supports real-time monitoring and data storage, forms various reports, visually displays the acquired data, and visually knows the meteorological environment and the road surface condition of the road section through the forms of graphs, tables and the like. And risk assessment is carried out on the road network meteorological disasters through historical big data analysis.
(6) Road network meteorological disaster risk assessment
An index system for road network meteorological disaster risk assessment determines the grading standards of various risk degrees; establishing evaluation modes of various meteorological disaster dangers, vulnerability of disaster-bearing bodies, disaster loss degree, risk indexes and risk grades; establishing a meteorological disaster risk assessment base database; a meteorological disaster risk zoning map based on the GIS is designed, and comprises:
6.1, differentiating zone maps of regions with risk distribution of meteorological disasters;
6.2, a meteorological disaster risk-time change graph of the meteorological disaster risk degree change rule along with time;
6.3, a meteorological disaster risk comprehensive graph of a meteorological disaster time and space change rule.
Establishing a pre-evaluation service before the traffic meteorological disaster, realizing predictive estimation of a pile number area, time, scale, damage degree and disaster forming degree of a road section which is possibly subjected to the disaster before the traffic meteorological disaster occurs, and providing a basis for formulating a disaster reduction plan; the method comprises the steps of establishing a traffic meteorological disaster tracking and evaluating service, realizing timely evaluation on disaster actual conditions and possible occurrence trends after a meteorological disaster occurs, and providing a basis for road managers to know disaster conditions and organize disaster prevention and reduction in time; and establishing a weather disaster post-disaster final evaluation service, and realizing the summary evaluation of the disaster after the weather disaster is ended, wherein the evaluation contents comprise disaster types, disaster intensity, disaster activity time and place, disaster causing factors, casualties and property damage quantity, economic loss, disaster prevention and reduction measures and the like.
(7) Weather station condition monitoring
7.1 monitoring the working state parameters. The weather station working state parameters including the solar power supply state, the storage battery working voltage, the temperature in the case, the equipment online state, the sensor working state parameters and the like are uploaded regularly, and the current working state parameter set can be uploaded in real time according to instructions.
7.2 weather station abnormal alarm. Providing an alert function to the received anomaly data, such as: lack of measurement, abnormal observed data, etc. And meanwhile, abnormal condition data such as weather station sensor separation, communication interruption, excessively low voltage of a storage battery and the like are collected, and the abnormal state parameter set of the weather station can be uploaded in real time according to the instruction.
The utility model discloses a meteorological disaster joint monitoring early warning device is based on intelligent meteorological monitoring station monitoring data sets up, the platform utilizes hardware equipment such as "meteorological environment sensor" and "remote sensing formula road surface sensor" to gather highway meteorological data, and on the meteorological data that will gather passes through modbus-485 agreement connection data collection station, later send MQTTX thing networking platform by data collection station, again in retransmitting the application platform via MQTTX thing networking platform, the platform receives data and analysis back, utilize meteorological disaster early warning platform to the meteorological data and the present meteorological situation of road surface parameter analysis who monitors, equipment can be according to the automatic data of uploading of preset's frequency, report to the police to meteorological disaster according to the threshold value of setting in advance, and can carry out the early warning to the meteorological disaster risk that probably takes place based on historical big data. The forecasting and instruction issuing have the advantages of real-time performance and flexibility, and can be sent to a manager in real time through various modes, such as short messages, APPs, websites, small programs and the like, so that accurate decision basis is provided for traffic control, late road closing and early traffic passing are achieved, and the traffic efficiency of social masses is guaranteed.
The utility model discloses meteorological disaster joint monitoring early warning platform supporting hardware equipment simple to operate also can adopt 4G signal or optic fibre to carry out data transmission simultaneously, can install at various highway sections selection points. The platform is applicable to the following scenarios:
(1) Sections with frequent strong wind and cross wind;
(2) The rainfall is large, and the road section is easy to accumulate water;
(3) The easy frozen highway section in winter.
In practical application, staff can select weather monitoring stations of different models according to table 1 to adapt to the current road conditions, and the purpose of saving cost is achieved.
TABLE 1 weather monitoring station types
The utility model discloses an utilize intelligent meteorological monitoring station to gather multiple environmental parameter and road surface parameter to report to the police to meteorological disaster based on this, synthesized multiple environmental factor, improved the rate of accuracy that meteorological disaster reported to the police greatly.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principle and the implementation of the present invention are explained herein by using specific examples, and the above description of the embodiments is only used to help understand the method and the core idea of the present invention; meanwhile, for the general technical personnel in the field, according to the idea of the present invention, there are changes in the concrete implementation and the application scope. In summary, the content of the present specification should not be construed as a limitation of the present invention.
Claims (8)
1. The utility model provides a meteorological disaster joint monitoring early warning device which characterized in that includes:
the intelligent weather monitoring station is used for acquiring environmental parameters and road surface parameters; the environmental parameters comprise air temperature, air humidity, atmospheric pressure, illumination intensity, wind speed, wind direction, rainfall, PM2.5 content and PM10 content; the road surface parameters comprise road surface temperature, road surface humidity, road surface water film height, road surface friction coefficient, road surface icing condition and road surface freezing point temperature;
the MQTTX Internet of things platform is in communication connection with the intelligent weather monitoring station and the weather disaster early warning platform respectively and is used for transmitting the environmental parameters and the road surface parameters to the weather disaster early warning platform; and the meteorological disaster early warning platform is used for alarming meteorological disasters according to set threshold values.
2. The meteorological disaster joint monitoring and early warning device according to claim 1, wherein the intelligent meteorological monitoring station comprises:
the meteorological environment sensor is used for acquiring the environmental parameters;
the remote sensing type road surface sensor is used for acquiring the road surface parameters;
and the data acquisition unit is respectively connected with the meteorological environment sensor, the remote sensing type road surface sensor and the MQTTX Internet of things platform and is used for uploading the environmental parameters and the road surface parameters to the MQTTX Internet of things platform.
3. The meteorological disaster joint monitoring and early warning device as claimed in claim 2, wherein the meteorological environment sensor and the remote sensing type road sensor are in communication connection with the data collector through a modbus-485 protocol.
4. The meteorological disaster joint monitoring and early warning device according to claim 2, wherein the intelligent meteorological monitoring station further comprises:
and the camera is connected with the meteorological disaster early warning platform through a video streaming service platform, is used for monitoring the road environment in real time and uploads the road environment to the meteorological disaster early warning platform for display.
5. The meteorological disaster joint monitoring and early warning device as claimed in claim 4, wherein the video streaming service platform is communicatively connected to the meteorological disaster early warning platform via RTSP.
6. The meteorological disaster joint monitoring and early warning device according to claim 1, further comprising:
and the weather station state monitoring module is used for monitoring the working state parameters of the weather station and giving an alarm when the working state parameters of the weather station exceed a preset threshold value.
7. The meteorological disaster joint monitoring and early warning device as claimed in claim 6, wherein the meteorological station operating condition parameters comprise: the solar energy power supply state, the working voltage of the storage battery, the temperature in the meteorological station and the working state parameters of the sensor.
8. The meteorological disaster joint monitoring and early warning device as claimed in claim 7, wherein the meteorological station state monitoring module comprises:
the working state parameter monitoring module is used for acquiring working state parameters of the meteorological station;
and the weather station abnormity alarm module is used for uploading the weather station working state parameters exceeding a preset threshold value to the weather disaster early warning platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202222502156.2U CN218513040U (en) | 2022-09-21 | 2022-09-21 | Meteorological disaster joint monitoring and early warning device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202222502156.2U CN218513040U (en) | 2022-09-21 | 2022-09-21 | Meteorological disaster joint monitoring and early warning device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN218513040U true CN218513040U (en) | 2023-02-21 |
Family
ID=85214316
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202222502156.2U Active CN218513040U (en) | 2022-09-21 | 2022-09-21 | Meteorological disaster joint monitoring and early warning device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN218513040U (en) |
-
2022
- 2022-09-21 CN CN202222502156.2U patent/CN218513040U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107134158B (en) | Intelligent control system for expressway | |
| CN109523780B (en) | Mountain area highway snowfall environment early warning system and method | |
| CN112305641B (en) | Expressway traffic safety meteorological internet of things monitoring and early warning system | |
| CN102842211A (en) | Monitoring and early warning system and monitoring and early warning method for prevention of external force of transmission line based on image recognition | |
| CN113110200A (en) | Urban waterlogging early warning system based on weather and rainfall flood model | |
| CN111245955A (en) | Road meteorological environment monitoring intelligent early warning system | |
| CN104951993A (en) | Comprehensive monitoring and early warning system based on meteorology and power grid GIS and method thereof | |
| CN104574874A (en) | Urban drainage and waterlog-preventing integrated control system | |
| CN203606954U (en) | Highway weather monitoring system | |
| CN109727471A (en) | Intelligent monitor system under a kind of bad weather condition based on technology of Internet of things | |
| KR20100008109A (en) | Method of providing road weather information and system thereof | |
| CN112488477A (en) | Highway emergency management system and method | |
| CN114999180B (en) | Expressway bad weather traffic early warning system and method based on Internet of things | |
| CN218513040U (en) | Meteorological disaster joint monitoring and early warning device | |
| CN105788288A (en) | Intelligent system for monitoring icing on pavement and monitoring method thereof | |
| CN206773223U (en) | One kind is applied to traffic weather environment real time monitoring system | |
| CN214895868U (en) | Big data environment situation perception of highway bridge and self-checking system | |
| CN210865032U (en) | Urban waterlogging monitoring and early warning system | |
| CN112101639A (en) | Airport traffic capacity analysis method and system based on multi-source meteorological data | |
| CN111986464A (en) | System for forecasting road icing based on dynamic method | |
| CN115601928A (en) | Meteorological disaster joint monitoring early warning device | |
| CN204288519U (en) | A kind of integrated self-adaptive intelligent traffic warning board | |
| CN109814462A (en) | A kind of municipal drainage network monitoring control system based on big data | |
| CN115932859A (en) | Power grid icing water particle phase recognition method and system based on millimeter wave cloud radar | |
| CN213844322U (en) | Urban low-lying highway section ponding monitoring and early warning device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |