Field of the Invention
This invention relates to the system for real-time detection of black ice in hilly areas
Background of the Invention
KR101528711B1: Lee Seok-jin, Kim Bong-chan, Park Byeong-ju, Seo Un-jong; The present invention relates to a snow melting device and a black ice prevention method to improve the driving stability of a vehicle by measuring the outside temperature, the outside air humidity, and the road surface temperature of a section of a ramp, a regular shade, and a bridge and preventing slips caused by black ice or the like. The snow melting device comprises: a sensor part comprising an atmospheric sensor to measure the outside temperature in real-time, an air humidity sensor to measure the outside air humidity in real-time, a first detection sensor to detect snow or ice in real-time, a road surface temperature sensor to measure the surface temperature of a road, and a second detection sensor to detect snow or ice in real-time; a control part; an underground heat exchanger; a geothermal circulation pump; a heater pump; a thermal storage tank; a convection circulation pump; a snowmelt circulation pump; and a plurality of three-way electromagnetic valves to be opened and closed by a signal from the second detection sensor. The black ice prevention method using the snow melting device comprises: a step (a) of measuring or detecting the road surface temperature, the outside temperature, the outside air humidity, the snow cover, and the frozenness in real-time with the sensor part; a step (b) of driving the snow melting device, including a snow melting device standby mode, a snow melting device driving mode, and a black ice driving mode; and a step (c) of carrying out a post-treatment in order to prevent water as melted snow or ice from freezing again by using the snow melting device driving mode or the black ice driving mode.
KR102136131B1: Kim Yong-seop; the present invention discloses a road traffic safety management technology. That is, according to an embodiment of the present invention, provided are an automatic road ice prediction system and an operating method. As an IoT-based integrated disaster prevention solution which predicts and monitors freezing conditions by installing in areas where black ice regularly occurs, such as on an overpass, on a bridge, near a tunnel, or the like. Before drivers and pedestrians enter the freezing section, the freezing condition is predicted to display a road freezing situation with a warning light and an electric sign at the same time. A snow removal agent is automatically sprayed, and a site situation is grasped in a situation control room and follow-up measures such as road control or the like are taken, so that traffic accidents due to road freezing can be prevented in advance.
US9696409B2: Phillip A. Fox, Joseph W. Maresca, Jr.; A land-based Smart-Sensor System and several system architectures for detection, tracking, and classification of people and vehicles automatically and in real time for border, property, and facility security surveillance is described. The preferred embodiment of the proposed Smart-Sensor System is comprised of (1) a low-cost, non-coherent radar, whose function is to detect and track people, singly or in groups, and various means of transportation, which may include vehicles, animals, or aircraft, singly or in groups, and cue (2) an optical sensor such as a long-wave infrared (LWIR) sensor, whose function is to classify the identified targets and produce movie clips for operator validation and use, and (3) an IBM CELL supercomputer to process the collected data in real-time. The Smart Sensor System can be implemented in a tower-based or a mobile-based or combination system architecture. The radar can also be operated as a stand-alone system.
KR102034027B1: Kim Seung-kwang: Jo Beom-seok; The present invention relates to an automatic liquid snow removing agent spraying system for a road having a black ice removing function and a method thereof and, more specifically, to an automatic liquid snow removing agent spraying system for a road having a black ice removing function and a method thereof, wherein the system calculates an expected amount of a snow removing agent to be consumed by calculating the amount of snowfall per minute when the snow falls on a road; determines whether there is a possible freezing environment section based on the amount of snowfall per minute and a road surface temperature for each road section, checks a spray record within a set period when there is a possible freezing environment section, sprays the snow removing agent when there is no spray record, additionally obtains an image for each road section, analyzes the image using a deep learning technique to determine whether there is a black ice section, and removes black ice by intensively spraying the snow removing agent to the corresponding section when there is a black ice section, thereby promoting traffic safety in winter.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is to design a device which will eradicate the ice and help in reducing the accidents due to black ice.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
In these days the accident due to black ice has increased as the black is a thin layer of ices which reduces the friction and makes the vehicle skid and causes an accident. To counter this situation a device is deployed which will eradicate the ice and help in reducing the accidents. This system will work on several components and will eradicate the human made error as the whole process is done on the bases of different modules. It will not only calculate the thickness of black ice and temperature of the surrounding but also melt the ice in real time using resistance wire or we can say element. It is having a camera which will help in detection of the presence of black.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1 shows the generalized diagram of the invention in which the whole system is defined. The poles are connected to a power supply i.e. wind mill/turbine (102) that will help in the execution of all process as it will power the intel box (106) and it will further power the resistance wire (105) which melt the ice and clear the road. The intel box (106) will push the information on the supervision node (107) which is connected to a power station (103) and the supervision node (107) will perform all the calculations and display the information on the LED screen (104). The poles have smart light (101) which turns on as soon as the sky gets dark. Fig 2 shows the connection between all the wireless devices and Figure 3 illustrates the architecture of Intel Box (1 to N) which contains a Computing Unit (303) which is responsible for all the functions. The LoRa module (301) will help in sending and receiving information and commands and display it on a screen (302). The Computing Unit (303) with the help of Neural Stick (308) will sense the presence of ice using camera module (306) and will give the command to relay (307) for passing electricity in the resistance wire. The resistance wire will get heat up and will melt the ice instantly. This whole architecture is backed up by a battery (304) which is basically wind energy/station (305). Figure 4 shows the diagram of the supervision node which is basically used for the collection of data from n number of polls and finally the collected data from other gateways and broadcast it on cloud server is shown in Figure 5. It collects data using LoRa (501) and WIFI module (505) this whole process is governed by the Computing Unit (503) the power supply is the nearest electricity station (502).
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Present system will work on several components and will eradicate the human made error as the whole process is done on the bases of different modules. It will not only calculate the thickness of black ice and temperature of the surrounding but also melt the ice in real time using resistance wire or we can say element. It is having a camera which will help in detection of the presence of black. In these days the accident is mainly due to black ice in hilly areas has increased as the black is a thin layer of ices which reduces the friction and makes the vehicle skid and causes an accident. This new design of device which will eradicate the ice and help in reducing the accidents due to black ice. The architecture of Intel design Box which contains a Computing Unit which is responsible for all the functions. The supervision node which is basically used for the collection of data from n number of polls and finally the collected data from other gateways and broadcast it on cloud server. It collects data using LoRa and WIFI module, this whole process is governed by the Computing Unit and the power supply is the nearest electricity station.
Best Method of working
Disclosed herein a Sensor and vision-based system for real-time detection of black ice in hilly areas is comprising with Real-time and IoT based architecture for black ice detection; resistance wire; and the camera to detect of the presence of black ice; Wherein system comprises LoRa (501) and WIFI module (505) this whole process is governed by the Computing Unit (503) the power supply is the nearest electricity station (502).
In another embodiment, which is consist of LoRa and Cloud based system for real-time monitoring of black ice.
In another embodiment, which is consist of AI based vision node with IoT network for the detection of black ice.
In another embodiment, which is consist of using resistance wire, which helps in melting the ice in real time.
In another embodiment, which is consist of camera module which will help in detection of the presence of black.
In another embodiment, which is consist of The LoRa module (301) will help in sending and receiving information and commands and display it on a screen (302).
In another embodiment, which is consist of computing Unit (303) with the help of Neural Stick (308) senses the presence of ice using camera module (306) and gives the command to relay (307) for passing electricity in the resistance wire.
In another embodiment, which is consist of poles have smart light (101) which turns on as soon as the sky gets dark.
In another embodiment, wherein which is consist of intel box (106) will push the information on the supervision node (107) which is connected to a power station (103) and the supervision node (107) performs all the calculations and display the information on the LED screen (104).

Claims:

1. A Sensor and vision-based system for real-time detection of black ice in hilly areas is comprising with Real-time and IoT based architecture for black ice detection; resistance wire; and the camera to detect of the presence of black ice;
Wherein system comprises LoRa (501) and WIFI module (505) this whole process is governed by the Computing Unit (503) the power supply is the nearest electricity station (502).
2. The system is claimed in claim 1, wherein which is consist of LoRa and Cloud based system for real-time monitoring of black ice.
3. The system is claimed in claim 1, wherein which is consist of AI based vision node with IoT network for the detection of black ice.
4. The system is claimed in claim 1, wherein which is consist of using resistance wire, which helps in melting the ice in real time.
5. The system is claimed in claim 1, wherein which is consist of camera module which will help in detection of the presence of black.
6. The system is claimed in claim 1, wherein which is consist of The LoRa module (301) will help in sending and receiving information and commands and display it on a screen (302).
7. The system is claimed in claim 1, wherein which is consist of computing Unit (303) with the help of Neural Stick (308) senses the presence of ice using camera module (306) and gives the command to relay (307) for passing electricity in the resistance wire.
8. The system is claimed in claim 1, wherein which is consist of poles have smart light (101) which turns on as soon as the sky gets dark.
9. The system is claimed in claim 1, wherein which is consist of intel box (106) will push the information on the supervision node (107) which is connected to a power station (103) and the supervision node (107) performs all the calculations and display the information on the LED screen (104).