CN110588606A - Electric appliance automation control system based on Internet of things - Google Patents

Electric appliance automation control system based on Internet of things Download PDF

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Publication number
CN110588606A
CN110588606A CN201910970917.7A CN201910970917A CN110588606A CN 110588606 A CN110588606 A CN 110588606A CN 201910970917 A CN201910970917 A CN 201910970917A CN 110588606 A CN110588606 A CN 110588606A
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module
electric
distance
coordinate
vehicle
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CN110588606B (en
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刘洪坡
裴祥
石晨
雷蕾
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Henan Polytechnic Institute
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Henan Polytechnic Institute
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60TVEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T7/00Brake-action initiating means
    • B60T7/12Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger

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  • Engineering & Computer Science (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses an electric appliance automatic control system based on the Internet of things, which comprises: the position acquisition module acquires the position information of the electric automobile through the position positioning chip; the position simulation module displays the position information of the electric automobile on a virtual map in a point form according to the position information of the electric automobile; the coordinate extraction module is used for establishing a two-dimensional coordinate on the electronic map and extracting a coordinate point of the two-dimensional coordinate of the electric automobile on the virtual map; the coordinate comparison module is used for determining that the distance between two adjacent electric vehicles is too close when the distance between the two adjacent electric vehicles reaches a set distance; and the forced control module is used for respectively braking the two electric automobiles. According to the invention, the positioning device is arranged on the electric automobile, all the positions of all the electric automobiles are uploaded to the cloud, and meanwhile, when the cloud displays that the two electric automobiles are too close to each other, the driving safety of the two electric automobiles is ensured by controlling the driving of the electric automobiles.

Description

Electric appliance automation control system based on Internet of things
Technical Field
The invention relates to the technical field of Internet of things, in particular to an electric appliance automatic control system based on the Internet of things.
Background
The electric automobile is a vehicle which takes a vehicle-mounted power supply as power and drives wheels to run by using a motor, and meets various requirements of road traffic and safety regulations. In the current electric automobile, a storage battery provides energy, and the automobile is driven to run according to the flow of the storage battery, a current, a power regulator, an electric motor and a power transmission system.
In the current driving of the electric automobile, accidents that cause collision between vehicles due to improper operation of drivers still exist.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provide an electric appliance automation control system based on the internet of things.
Therefore, the invention provides an electric appliance automatic control system based on the Internet of things, which comprises:
the position acquisition module acquires the position information of the electric automobile through a position positioning chip arranged on the electric automobile;
the position simulation module is used for displaying the position information of the electric automobile on a virtual map in a dotted form according to the position information of the electric automobile obtained by the position acquisition module;
the coordinate extraction module is used for establishing a two-dimensional coordinate on the electronic map and extracting a coordinate point of the two-dimensional coordinate of the position information of the electric automobile on the virtual map;
the coordinate comparison module is used for calculating the distance between two adjacent electric vehicles through two adjacent coordinate points, and when the distance between the two adjacent electric vehicles reaches a set distance, the distance between the two electric vehicles is determined to be too close;
and the forced control module is used for braking the two electric automobiles through the braking systems of the two electric automobiles respectively when the distance between the two electric automobiles is too close.
Further, the position simulation module includes:
the electronic map building module is used for obtaining the latest urban electronic map through map software;
the position information decomposition module is used for decomposing the position information of the electric automobile into longitude information and latitude information;
the map longitude and latitude marking module is used for marking a network of longitude and latitude on the electronic map;
the position matching module is used for inserting the longitude and the latitude of the electric automobile obtained in the position information decomposition module into a network of the longitude and the latitude in the map longitude and latitude marking module;
and the position display module is used for marking the longitude and the latitude of the electric automobile in the position matching module by using a dotted graph.
Still further, the coordinate extraction module includes:
the coordinate establishing module is used for establishing a two-dimensional rectangular coordinate system above a plane map of the electronic map and transparently covering the coordinate system on the electronic map;
the two-dimensional coordinate conversion module is used for converting a network consisting of longitude and latitude into a two-dimensional rectangular coordinate system according to a set algorithm;
and the electric vehicle coordinate point generating module converts the longitude and the latitude of the position of the electric vehicle into a coordinate point of a two-dimensional coordinate in the rectangular coordinate system according to the method.
Further, the coordinate comparison module includes:
the distance calculation module is used for calculating the distance between the two electric automobiles according to a distance calculation formula between two points of the coordinate point where the two electric automobiles are seated;
and the distance judgment module judges that the distance between the two electric automobiles is too close when the distance between the two electric automobiles is smaller than the set distance, otherwise, the distance between the two electric automobiles is considered to be proper.
Further, the distance determining module includes:
the vehicle model acquisition module is used for respectively acquiring vehicle models of the electric vehicles corresponding to the two coordinates;
the vehicle distance calculation module is used for respectively searching and obtaining the vehicle lengths of the two electric vehicles in the database according to the vehicle models of the two electric vehicles obtained by the vehicle type acquisition module;
and the judgment output module judges that the distance between the two electric automobiles is too close when the distance between the two electric automobiles is less than three times of the length of the vehicle, and otherwise, the distance between the two electric automobiles is considered to be proper.
The invention provides an electric appliance automatic control system based on the Internet of things, which has the following beneficial effects:
1. install positioner on electric automobile, all upload to the high in the clouds in all electric automobile's position, simultaneously, when the high in the clouds shows that two electric automobile distances are too close, guarantee two electric automobile's the safety of traveling through controlling electric automobile's the traveling.
Drawings
Fig. 1 is a schematic block diagram of system connection of an appliance automation control system based on the internet of things, provided by the invention;
fig. 2 is a schematic block diagram of system connection of a position simulation module of an appliance automation control system based on the internet of things, provided by the invention;
fig. 3 is a schematic block diagram of system connection of a distance determination module of an appliance automation control system based on the internet of things.
Detailed Description
Several embodiments of the present invention will be described in detail below with reference to the drawings, but it should be understood that the scope of the present invention is not limited to the embodiments.
In the present application, the type and structure of components that are not specified are all the prior art known to those skilled in the art, and those skilled in the art can set the components according to the needs of the actual situation, and the embodiments of the present application are not specifically limited.
Example 1
The embodiment provides an electric appliance automatic control system based on the Internet of things, which is realized through basic necessary technical features so as to solve the problems provided by the technical background part in the application document.
Specifically, as shown in fig. 1, an embodiment of the present invention provides an appliance automation control system based on an internet of things, including:
the position acquisition module acquires the position information of the electric automobile through a position positioning chip arranged on the electric automobile;
the position simulation module is used for displaying the position information of the electric automobile on a virtual map in a dotted form according to the position information of the electric automobile obtained by the position acquisition module;
the coordinate extraction module is used for establishing a two-dimensional coordinate on the electronic map and extracting a coordinate point of the two-dimensional coordinate of the position information of the electric automobile on the virtual map;
the coordinate comparison module is used for calculating the distance between two adjacent electric vehicles through two adjacent coordinate points, and when the distance between the two adjacent electric vehicles reaches a set distance, the distance between the two electric vehicles is determined to be too close;
and the forced control module is used for braking the two electric automobiles through the braking systems of the two electric automobiles respectively when the distance between the two electric automobiles is too close.
In this embodiment, the position information of the electric vehicle is acquired by the position acquisition module, and the specific method is to set a position positioning chip on the electric vehicle, and then display the position information of the electric vehicle on a virtual map in a dotted manner by the position simulation module, so that the real-time actual position of each electric vehicle can be marked on the map, and a coordinate point of a two-dimensional coordinate of the position information of the electric vehicle on the virtual map is extracted by the coordinate extraction module according to the two-dimensional coordinate of the electric vehicle on the electronic map. Therefore, the coordinate points of each electric automobile are displayed, the coordinate points are extracted, the coordinate points are processed through a coordinate comparison module, specifically, the distance between two adjacent electric automobiles is calculated through two adjacent coordinate points, when the distance between two adjacent electric automobiles reaches a set distance, the distance between the two electric automobiles is determined to be too close, finally, the forced control module is used for braking the two electric automobiles through the braking systems of the two electric automobiles when the distance between the two electric automobiles is too close, the braking is carried out when the distance between the two electric automobiles is too close, and accidents such as rear-end collision, scratch and the like caused by too close distance in an area are reduced for the electric automobiles.
Example 2
The present embodiment is based on example 1 and optimizes the implementation scheme in example 1, so that the present embodiment is more stable and better in performance during the operation process, but the present embodiment is not limited to the implementation manner described in the present embodiment.
Specifically, as shown in fig. 2, the position simulation module includes:
the electronic map building module is used for obtaining the latest urban electronic map through map software;
the position information decomposition module is used for decomposing the position information of the electric automobile into longitude information and latitude information;
the map longitude and latitude marking module is used for marking a network of longitude and latitude on the electronic map;
the position matching module is used for inserting the longitude and the latitude of the electric automobile obtained in the position information decomposition module into a network of the longitude and the latitude in the map longitude and latitude marking module;
and the position display module is used for marking the longitude and the latitude of the electric automobile in the position matching module by using a dotted graph.
In the above technical solution, a specific detail module of the position simulation module is decomposed. Specifically, the electronic map of the city is established through the electronic map establishing module, a map of map software can be adopted, so that the latest electronic map of the city can be obtained by contacting the map software, and reference can be made to map software such as Google map, Gaode map and the like. The position information of the electric vehicle is decomposed into longitude information and latitude information by a position information decomposition module, and the obtained position information of the electric vehicle is decomposed into the longitude information and the latitude information. Specifically, the longitude information and the latitude information which are consistent with the information that the position information of the electric automobile is decomposed into the longitude information and the latitude information are searched in the electronic map, and finally, the longitude and the latitude where the electric automobile in the position matching module is located are marked by using a dotted graph through the position display module.
More specifically, the coordinate extraction module includes:
the coordinate establishing module is used for establishing a two-dimensional rectangular coordinate system above a plane map of the electronic map and transparently covering the coordinate system on the electronic map;
the two-dimensional coordinate conversion module is used for converting a network consisting of longitude and latitude into a two-dimensional rectangular coordinate system according to a set algorithm;
and the electric vehicle coordinate point generating module converts the longitude and the latitude of the position of the electric vehicle into a coordinate point of a two-dimensional coordinate in the rectangular coordinate system according to the method.
In this embodiment, a coordinate extraction module in the technical features is summarized, specifically, a two-dimensional rectangular coordinate system is established above a plane map of an electronic map through a coordinate establishment module, meanwhile, a coordinate system is transparently covered on the electronic map, a network formed by longitude and latitude is converted into the two-dimensional rectangular coordinate system through a two-dimensional coordinate conversion module according to a set algorithm, and finally, the longitude and latitude of the position of the electric vehicle are converted into coordinate points of the two-dimensional coordinates in the rectangular coordinate system through an electric vehicle coordinate point generation module according to the method. Thus, the coordinate point of the two-dimensional coordinate of the position of the electric automobile in the rectangular coordinate system is obtained.
Specifically, the coordinate comparison module includes:
the distance calculation module is used for calculating the distance between the two electric automobiles according to a distance calculation formula between two points of the coordinate point where the two electric automobiles are seated;
and the distance judgment module judges that the distance between the two electric automobiles is too close when the distance between the two electric automobiles is smaller than the set distance, otherwise, the distance between the two electric automobiles is considered to be proper.
In the above technical solution, the working content of the coordinate comparison module is specifically described. Specifically, firstly, the distance between two electric vehicles is calculated through a distance calculation formula between two coordinate points where the two electric vehicles are seated through a distance calculation module. After the distance between the two electric vehicles is obtained, according to the distance between the two electric vehicles, the distance between the two electric vehicles is compared with the set distance through the distance judging module, specifically, when the distance between the two electric vehicles is smaller than the set distance, the distance between the two electric vehicles is judged to be too close, otherwise, the distance between the two electric vehicles is considered to be proper.
More specifically, as shown in fig. 3, the distance determining module includes:
the vehicle model acquisition module is used for respectively acquiring vehicle models of the electric vehicles corresponding to the two coordinates;
the vehicle distance calculation module is used for respectively searching and obtaining the vehicle lengths of the two electric vehicles in the database according to the vehicle models of the two electric vehicles obtained by the vehicle type acquisition module;
and the judgment output module judges that the distance between the two electric automobiles is too close when the distance between the two electric automobiles is less than three times of the length of the vehicle, and otherwise, the distance between the two electric automobiles is considered to be proper.
The database is used for storing the vehicle model of the electric vehicle and the corresponding vehicle length. The database is in butt joint with a vehicle database which is commonly produced, so that the latest vehicle model of the electric vehicle and the corresponding vehicle length of the electric vehicle can be obtained at the first time.
In this embodiment, the distance determination module determines the distance of the vehicle according to the difference of the size of each vehicle. In this regard, in the technical solution of this embodiment, the vehicle model obtaining module obtains the vehicle models of the electric vehicles corresponding to the two coordinates respectively, so that the vehicle condition can be known, and the vehicle distance calculating module searches the database for the vehicle lengths of the two electric vehicles respectively according to the vehicle models of the two electric vehicles obtained by the vehicle model obtaining module. And finally, measuring and calculating the distance between the two electric vehicles through the judgment output module, namely judging that the distance between the two electric vehicles is too close when the distance between the two electric vehicles is less than three times of the length of the vehicle, and otherwise, considering that the distance between the two electric vehicles is proper.
In summary, the present invention discloses an appliance automation control system based on the internet of things, including: the position acquisition module acquires the position information of the electric automobile through a position positioning chip arranged on the electric automobile; the position simulation module is used for displaying the position information of the electric automobile on a virtual map in a dotted form according to the position information of the electric automobile obtained by the position acquisition module; the coordinate extraction module is used for establishing a two-dimensional coordinate on the electronic map and extracting a coordinate point of the two-dimensional coordinate of the position information of the electric automobile on the virtual map; the coordinate comparison module is used for calculating the distance between two adjacent electric vehicles through two adjacent coordinate points, and when the distance between the two adjacent electric vehicles reaches a set distance, the distance between the two electric vehicles is determined to be too close; and the forced control module is used for braking the two electric automobiles through the braking systems of the two electric automobiles respectively when the distance between the two electric automobiles is too close. According to the invention, the positioning device is arranged on the electric automobile, all the positions of all the electric automobiles are uploaded to the cloud, and meanwhile, when the cloud displays that the two electric automobiles are too close to each other, the driving safety of the two electric automobiles is ensured by controlling the driving of the electric automobiles.
The above disclosure is only for a few specific embodiments of the present invention, however, the present invention is not limited to the above embodiments, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.

Claims (5)

1. The utility model provides an electrical apparatus automated control system based on thing networking which characterized in that includes:
the position acquisition module acquires the position information of the electric automobile through a position positioning chip arranged on the electric automobile;
the position simulation module displays the position information of the electric automobile on a virtual map in a punctiform driving mode according to the position information of the electric automobile obtained by the position acquisition module;
the coordinate extraction module is used for establishing a two-dimensional coordinate on the electronic map and extracting a coordinate point of the two-dimensional coordinate of the position information of the electric automobile on the virtual map;
the coordinate comparison module is used for calculating the distance between two adjacent electric vehicles through two adjacent coordinate points, and when the distance between the two adjacent electric vehicles reaches a set distance, the distance between the two electric vehicles is determined to be too close;
and the forced control module is used for braking the two electric automobiles through the braking systems of the two electric automobiles respectively when the distance between the two electric automobiles is too close.
2. The internet of things-based appliance automation control system of claim 1, wherein the location simulation module comprises:
the electronic map building module is used for obtaining the latest urban electronic map through map software;
the position information decomposition module is used for decomposing the position information of the electric automobile into longitude information and latitude information;
the map longitude and latitude marking module is used for marking a network of longitude and latitude on the electronic map;
the position matching module is used for inserting the longitude and the latitude of the electric automobile obtained in the position information decomposition module into a network of the longitude and the latitude in the map longitude and latitude marking module;
and the position display module is used for marking the longitude and the latitude of the electric automobile in the position matching module by using a dotted graph.
3. The internet of things-based appliance automation control system of claim 2, wherein the coordinate extraction module comprises:
the coordinate establishing module is used for establishing a two-dimensional rectangular coordinate system above a plane map of the electronic map and transparently covering the coordinate system on the electronic map;
the two-dimensional coordinate conversion module is used for converting a network consisting of longitude and latitude into a two-dimensional rectangular coordinate system according to a set algorithm;
and the electric vehicle coordinate point generating module converts the longitude and the latitude of the position of the electric vehicle into a coordinate point of a two-dimensional coordinate in the rectangular coordinate system according to the method.
4. The internet of things-based appliance automation control system of claim 1, wherein the coordinate comparison module comprises:
the distance calculation module is used for calculating the distance between the two electric automobiles according to a distance calculation formula between two points of the coordinate point where the two electric automobiles are seated;
and the distance judgment module judges that the distance between the two electric automobiles is too close when the distance between the two electric automobiles is smaller than the set distance, otherwise, the distance between the two electric automobiles is considered to be proper.
5. The Internet of things-based appliance automation control system of claim 4, wherein the distance judgment module comprises:
the vehicle model acquisition module is used for respectively acquiring vehicle models of the electric vehicles corresponding to the two coordinates;
the vehicle distance calculation module is used for respectively searching and obtaining the vehicle lengths of the two electric vehicles in the database according to the vehicle models of the two electric vehicles obtained by the vehicle type acquisition module;
and the judgment output module judges that the distance between the two electric automobiles is too close when the distance between the two electric automobiles is less than three times of the length of the vehicle, and otherwise, the distance between the two electric automobiles is considered to be proper.
CN201910970917.7A 2019-10-14 2019-10-14 Electric appliance automation control system based on Internet of things Active CN110588606B (en)

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CN110588606B CN110588606B (en) 2022-03-04

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104554105A (en) * 2014-12-24 2015-04-29 西安交通大学 Vehicle collision-proof network early-warning method and device and confirmatory experiment platform
CN106314431A (en) * 2015-06-29 2017-01-11 比亚迪股份有限公司 Cruise control system and method for vehicles
CN106781588A (en) * 2017-01-23 2017-05-31 重庆长安汽车股份有限公司 Target carriage extracting method, system and equipment
CN107346612A (en) * 2016-05-06 2017-11-14 中国科学院微电子研究所 A kind of vehicle collision avoidance method and system based on car networking
CN109215388A (en) * 2017-06-29 2019-01-15 深圳市金溢科技股份有限公司 A kind of V2X terminal, system and the management method of compatible multi-standard V2X
CN110197587A (en) * 2019-05-31 2019-09-03 京东方科技集团股份有限公司 A kind of driving processing method and vehicle, server and driving system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104554105A (en) * 2014-12-24 2015-04-29 西安交通大学 Vehicle collision-proof network early-warning method and device and confirmatory experiment platform
CN106314431A (en) * 2015-06-29 2017-01-11 比亚迪股份有限公司 Cruise control system and method for vehicles
CN107346612A (en) * 2016-05-06 2017-11-14 中国科学院微电子研究所 A kind of vehicle collision avoidance method and system based on car networking
CN106781588A (en) * 2017-01-23 2017-05-31 重庆长安汽车股份有限公司 Target carriage extracting method, system and equipment
CN109215388A (en) * 2017-06-29 2019-01-15 深圳市金溢科技股份有限公司 A kind of V2X terminal, system and the management method of compatible multi-standard V2X
CN110197587A (en) * 2019-05-31 2019-09-03 京东方科技集团股份有限公司 A kind of driving processing method and vehicle, server and driving system

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