6 results about "Weather factors" patented technology

The invention discloses a divided-lane speed-limiting early warning indication method based on rainfall intensity. The method comprises the following steps: collecting monitored rainfall in a red line domain of a speed-limiting road and calculating the rainfall intensity; calculating the road surface water film thickness of each lane based on the rainfall intensity value; calculating the safety critical vehicle speed of each lane based on the road surface water film thickness of each lane; and issuing a speed limit value of each lane based on the safety critical vehicle speed of each lane and an originally set speed limit value of the road, and issuing a corresponding lane warning mark based on the water film thickness of each lane. The invention further discloses a divided lane speed limiting early warning indication system based on the rainfall intensity. The system comprises a rainfall monitoring module, a critical vehicle speed calculation module and a judgment display module. Different speed limit information is issued for different lanes according to rainfall conditions in real time, the problems that rainfall weather factors are neglected in existing speed limit management and road speed limit is set to be a fixed value according to road grades are solved, and the safety and toughness of a road to cope with different rainfall weather are improved.

The application discloses a method for constructing a forest fire warning system, a decision method and a device thereof, wherein the method for constructing the forest fire warning system comprises obtaining a weather condition set, a date set and a relationship set under different regions; an incomplete T-spherical fuzzy relation set is generated according to the weather condition set, the date set and the relationship set; a completion method is constructed for the incomplete T-spherical fuzzy relation set; a fire warning standard set is generated according to the T-spherical fuzzy relation set; and the forest fire warning system is constructed according to the weather condition set, the date set, the relationship set, the incomplete T-spherical fuzzy relation set and the fire warning standard set. The above scheme can cope with the incompleteness and uncertainty of the relationship between weather factors and the possibility of fire occurrence under the actual forest fire warning background, improve the accuracy and problem processing efficiency of the forest fire warning, and enable forest firefighters to intuitively understand the instant relevant information of the forest fire, so as to make a timely judgment on the current situation.

Systems and methods are provided herein for generating a video of a front view of a vehicle during low visibility conditions, such as when visibility is obstructed by elements of weather (e.g., rain, snow, fog, etc.), where the elements of weather are removed from the video in real time using a machine learning (ML) model. The video may be displayed without the rain, snow, or fog on a windshield of the vehicle. In this way, an operator of the vehicle may be provided a clear or enhanced view of a road in front of the vehicle even in poor weather conditions.

The application discloses a kind of power distribution network mobile emergency resource pre-configuration method considering the influence of extreme weather, which comprises the following steps: based on power grid topology, traffic network node and power grid node are sequentially coupled corresponding, collect power grid information and traffic network information, obtain power and traffic coupling network;Mobile emergency resource driving path analysis is carried out based on Dijkstra algorithm;Based on blind number theory, construct the power distribution network fault scene under extreme weather;Construct the integrated failure rate model of line under single weather;Construct the integrated failure probability model of line under multiple weather factors;Construct the mobile emergency resource pre-configuration model considering power and traffic coupling network under extreme weather;Resource pre-configuration is carried out based on mobile emergency resource pre-configuration model.The application comprehensively considers the power distribution network fault recovery demand under extreme weather and the influence of extreme weather on traffic network traffic capacity, so that path decision is more matched actual working condition.

This invention provides a method and apparatus for daily land surface temperature reconstruction based on MODIS remote sensing data. This method can independently reconstruct daily land surface temperature for any region under assumed clear-sky conditions on a personal terminal or cloud platform (such as Google Earth Engine). The model first uses nearest-neighbor linear interpolation to initially fill in missing values, primarily due to cloud pollution. Then, it narrows the missing range by weighted fusion of data from the same period of the preceding year. For existing noise points and overfitting issues, SG filtering from signal processing is introduced for smoothing and correction, ultimately generating a seamless daily 1km land surface temperature product. Verification results show that the product obtained by this invention can better reflect the true state of land surface temperature under assumed clear-sky conditions, and more effectively reflects the seasonal characteristics of land surface temperature after excluding weather interference, demonstrating greater reliability in long-term time-series analysis studies.

The invention is an improved mounting system that can be installed on a support structure, such as a water tank or water tower. The system includes a series of mounting discs and associated brackets cooperate to attach each disc to an antenna. The antenna is then coupled with a mounting pole an attached to a support structure for use. Advantageously, the mounting structures maintain their mechanical integrity, even after long periods of use and exposure to weather elements (rain, wind, snow, sleet). As a result, the disclosed system can effectively extend the life of the mounting poles by preventing rust and associated deterioration seen with current mounting systems.