Vehicle window fogging prediction method and system, electronic equipment and storage medium

A forecasting method and forecasting system technology, applied in forecasting, neural learning methods, instruments, etc., can solve problems such as lagging forecast costs, achieve energy saving, high intelligence, and reduce noise in the car

Pending Publication Date: 2021-05-14
YANFENG AUTOMOTIVE TRIM SYST CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to overcome the defects of hysteresis and high prediction cost in the method for predicting the fogging of the vehicle window in the prior art, and to provide a vehicle window that can predict the fogging of the vehicle window in time and has a low prediction cost Fog prediction method, system, electronic device and storage medium of the present invention

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vehicle window fogging prediction method and system, electronic equipment and storage medium
  • Vehicle window fogging prediction method and system, electronic equipment and storage medium
  • Vehicle window fogging prediction method and system, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0076] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.

[0077] Example 1

[0078] The invention provides a method for predicting fogging of vehicle windows, such as figure 1 As shown, the fog prediction method includes:

[0079] Step 101. Predict corresponding real-time fogging parameters according to the acquired characteristic parameters.

[0080] Among them, the characteristic parameters can be obtained directly by sensors, by terminal equipment, or by networking. The specific acquisition method can be selected according to actual needs. Among them, the characteristic parameters are parameters that may affect the humidity or temperature of the inner or outer windows. The specific characteristic parameters include vehicle parameters, personnel parameters, environmental parameters, and road condition parameters. etc. Among them, the vehicle parameters include some parameters of...

Embodiment 2

[0171] This embodiment provides a fogging prediction system for vehicle windows, such as Figure 13 As shown, the fogging prediction system includes: a real-time parameter prediction module 301 , a future parameter prediction module 302 and a fogging judgment module 303 .

[0172] Among them, the characteristic parameters can be obtained directly by sensors, by terminal equipment, or by networking. The specific acquisition method can be selected according to actual needs. Among them, the characteristic parameters are parameters that may affect the humidity or temperature of the inner or outer windows. The specific characteristic parameters include vehicle parameters, personnel parameters, environmental parameters, and road condition parameters. etc. Among them, the vehicle parameters include some parameters of the vehicle itself and parameters related to the operation of the vehicle, such as: the speed of the vehicle, the gear position of the wiper, the model of the compartmen...

Embodiment 3

[0247] This embodiment provides an electronic device, which can be expressed in the form of a computing device (for example, it can be a server device), including a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor The fogging prediction method in Embodiment 1 can be realized when the computer program is executed.

[0248] Figure 15 A schematic diagram of the hardware structure of this embodiment is shown, as Figure 15 As shown, the electronic device 9 specifically includes:

[0249] At least one processor 91, at least one memory 92, and a bus 93 for connecting different system components, including the processor 91 and the memory 92, wherein:

[0250] The bus 93 includes a data bus, an address bus, and a control bus.

[0251] The memory 92 includes a volatile memory, such as a random access memory (RAM) 921 and / or a cache memory 922 , and may further include a read only memory (ROM) 923 .

[0252] Memor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a vehicle window fogging prediction method and system, electronic equipment and a storage medium. The method comprises the steps: predicting a corresponding real-time fogging parameter according to an obtained feature parameter, and the feature parameter comprises at least one of a vehicle parameter, a personnel parameter, an environment parameter and a road condition parameter; predicting a future fogging parameter according to the real-time fogging parameter; and judging whether the vehicle window fogs in the future or not according to the future fogging parameters. According to the invention, no additional equipment is needed, the characteristic parameters can be directly obtained through the existing equipment in the vehicle, and the real-time fogging parameters capable of reflecting the temperature and humidity of the vehicle window can be predicted through the directly obtained characteristic data. The future fogging parameter reflecting the future fogging trend can be predicted through the real-time fogging parameter, so that the future fogging condition of the vehicle window can be predicted timely and accurately.

Description

technical field [0001] The invention relates to the field of vehicle window fogging monitoring, in particular to a vehicle window fogging prediction method, system, electronic equipment and storage medium. Background technique [0002] The fogging of the car window is a headache for many drivers. It not only affects the driver's normal driving, but also may cause safety hazards to the driver and passengers in the car. [0003] There are generally two reasons for fogging. One of the reasons is that when the air humidity is constant, when the temperature of the car window is lower than the dew point temperature, condensation will form on the surface of the car window, which is what we often see. Windshield fogging. The second reason is that there is a certain temperature difference on both sides of the window. When the surface with low temperature is saturated with moisture and the vapor pressure is lower than the vapor pressure of the surrounding environment, water vapor wil...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/08G06Q10/04
CPCG06Q10/04G06N3/08G06F18/2411G06F18/214
Inventor 丁家俊龚启伟牛立娟袁熙娟胡文涛褚秉华
Owner YANFENG AUTOMOTIVE TRIM SYST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap