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Road snow disaster grading early warning system based on snow thickness detection

An early warning system and road technology, applied in the field of traffic detection, can solve the problems of not being able to reflect the snow on the road, not being able to predict the snow on the road section, and not being able to obtain the vehicle safety factor of the snow on the road, etc.

Inactive Publication Date: 2020-05-12
JIANGSU XINTONG INTELLIGENT TRANSPORT TECH DEV CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The weather forecast at this stage only predicts the snowfall in a large area or area, and cannot predict the snow accumulation on the road section
Therefore, travelers cannot obtain the snow conditions on various roads and the safety factor of vehicle traffic in snowy days, and are unable to make correct decisions to a large extent, resulting in some traffic accidents
[0003] At present, only the snowfall is used as a reference to classify and report the snow cover or traffic conditions on the road. The classification is not accurate and cannot reflect the snow cover on the road.

Method used

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  • Road snow disaster grading early warning system based on snow thickness detection
  • Road snow disaster grading early warning system based on snow thickness detection
  • Road snow disaster grading early warning system based on snow thickness detection

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Embodiment Construction

[0018] A road snow disaster grading early warning system based on snow thickness detection, comprising: a sensor module, a solar power supply module, a data transmission module, a control module, and an early warning module. Such as figure 1 As shown, the solar power supply module is used to continuously supply power to the sensor module, and the sensor module is used to monitor the icing situation and snow thickness on each lane of the expressway in real time and transmit the data back to the control module through the data transmission module, and control The module is used to preprocess the collected data and discard the distorted data; and compare the values ​​in Table 1 to give the corresponding grade and transmit the corresponding grade to the early warning module. The early warning module displays the current road snow thickness according to the received grade , warning level and corresponding warning suggestions.

[0019] In a further embodiment, the sensor module inc...

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Abstract

The invention provides a road snow disaster grading early warning system based on snow thickness detection. The road snow disaster grading early warning system comprises a sensor module, a solar powersupply module, a data transmission module, a control module and an early warning module; the solar power supply module is used for continuously supplying power to the sensor module; the sensor moduleis used for monitoring the icing condition and accumulated snow thickness on each lane of an expressway in real time and transmitting data back to the control module through the data transmission module; the control module is used for preprocessing the collected data to discard distorted data, determining an accumulated snow amount and giving a corresponding grade according to the accumulated snow amount; and the early warning module is used for displaying the current road accumulated snow thickness, the early warning grade and a corresponding warning suggestion. According to the system of the invention, early warning is carried out on the basis of the accumulated snow thickness and the icing condition on the road, so that higher real-time performance and accuracy can be realized.

Description

technical field [0001] The invention belongs to the field of traffic detection, in particular to a road snow disaster grading early warning system based on snow thickness detection. Background technique [0002] In recent years, a large factor that causes traffic accidents in winter is that there is snow or icing on the road. Timely early warning of snow on the road is a relatively effective preventive method at present. The current weather forecast only predicts the snowfall situation in a large area or area, and cannot predict the snow accumulation situation on the road section. Therefore, travelers cannot obtain the snow conditions on various roads in snowy days and the safety factor of vehicle traffic, and they cannot make correct decisions to a large extent, resulting in some traffic accidents. [0003] At present, only snowfall is used as a reference basis to grade and report road snow conditions or traffic conditions. The classification is not accurate and cannot ref...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08B21/10G01W1/10G01W1/14
CPCG01W1/10G01W1/14G08B21/10G08G1/0116G08G1/0137Y02A90/10
Inventor 施展陶屹张炜蒋鑫李冬梅李景龙刘新宇冯宇陈小冬张宗欣王礼宝陈杰
Owner JIANGSU XINTONG INTELLIGENT TRANSPORT TECH DEV CO LTD
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