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Road operation decision-making method based on meteorological big data, service platform and system

A decision-making method and technology of a service platform, applied in the road operation decision-making method, service platform and system field based on meteorological big data, can solve problems such as hysteresis and unstable forecast accuracy, and achieve improved accuracy, improved observation accuracy, The effect of expanding the observation interval

Pending Publication Date: 2019-10-15
风云博维(深圳)科技有限公司 +1
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Problems solved by technology

[0005] (1) The current traffic meteorological forecast service mostly uses automatic meteorological observation equipment to monitor conventional meteorological elements at one or more fixed locations, and then provide early warning based on detection results, which has a certain lag;
[0006] (2) The existing traffic weather forecast services are mostly forecasts of conventional meteorological elements, and the forecast accuracy is unstable, and does not involve data inversion for road surface conditions;

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  • Road operation decision-making method based on meteorological big data, service platform and system
  • Road operation decision-making method based on meteorological big data, service platform and system
  • Road operation decision-making method based on meteorological big data, service platform and system

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Embodiment Construction

[0049] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] refer to figure 1 As shown, the present invention provides a road operation decision-making method based on meteorological big data, comprising the following steps:

[0051] Step S1, collecting real-time meteorological element observation data, as well as the initial field and boundary field data of the numerical forecast model;

[0052] Step S2, importing the real-time meteorological element observation data collected in step S1 and the initial field and boundary field data of the numerical forecast model into the data pool, after data assimilation, perform the nonlinear calculation of the numerical forecast tool;

[0053] Step S3, the calculation result of step S2 and real-time meteorological element observation data are carried out linear analysis processing, obtains a group of final forecast results;

[0054] Step S4, importing t...

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Abstract

The invention discloses a road operation decision-making method based on meteorological big data, and the method comprises the following steps: collecting and assimilating data, and carrying out the numerical analysis and processing, and obtaining a final prediction result; carrying out water film thickness calculation on a final forecasting result; judging pavement conditions; guiding road operation decisions. The invention also discloses a service platform, which comprises a data collection module for collecting data, a road weather forecast module for road weather forecast, a road operationdecision module for road operation decision and an information pushing module for pushing information. The invention further discloses a system which comprises the service platform, and an automaticweather station and a terminal which are connected with the service platform. According to the invention, the accuracy of pavement state discrimination and the accuracy of road weather forecast are improved. Road surface dry-wet state inversion is established to meet the requirements of highway traffic meteorological services.

Description

technical field [0001] The invention relates to the technical field of meteorological detection and forecasting, in particular to a road operation decision-making method, service platform and system based on meteorological big data. Background technique [0002] With the development of social economy and scientific and technological progress, transportation has become an important lifeline of national economic production and people's social life. However, every link of transportation is directly affected by meteorological conditions. According to statistics, 50% of traffic accidents on highways in my country, 71% of major traffic accidents, and 65% of direct economic losses occurred in bad weather caused by bad weather conditions. Among them, the impact of road conditions (water or icing) and visibility is particularly significant. The study found that during precipitation, the gravity of rainwater along the maximum slope direction of the road surface produces slope runoff a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06F17/50
CPCG06F17/18G06F30/20
Inventor 刘锋王金鑫林伟文
Owner 风云博维(深圳)科技有限公司