Intelligent trailer method based on AGPS positioning system
阅读说明：本技术 一种基于agps定位系统的智能拖车方法 (Intelligent trailer method based on AGPS positioning system ) 是由 翟世臣 张承云 于 2019-11-07 设计创作，主要内容包括：本发明涉及一种基于AGPS定位系统的智能拖车方法,包括以下步骤：通过GPS定位系统获取位置信息；通过蜂窝基站获取位置信息；通过AGPS定位系统获取精准位置信息。本发明通过AGPS技术将GPS系统和蜂窝基站系统相互结合,利用蜂窝网络数据传输功能和云平台的数据处理,将准确的位置发送,第一时间有效的提供了事故或故障车的准确定位,能够给拖车、救援部门发送准确的位置信息。既增加了事故的可营救时间,也给救援部门以准确定位,将线下救援与线上用户,以及拖车司机带来了便捷,降低定位的误差。(The invention relates to an intelligent trailer method based on an AGPS positioning system, which comprises the following steps: acquiring position information through a GPS (global positioning system); acquiring location information by a cellular base station; and acquiring accurate position information through an AGPS positioning system. According to the invention, the GPS system and the cellular base station system are combined with each other through an AGPS technology, and the accurate position is sent by utilizing the cellular network data transmission function and the data processing of the cloud platform, so that the accurate positioning of an accident or a fault car is effectively provided for the first time, and the accurate position information can be sent to a trailer and a rescue department. The rescue time of the accident is increased, the rescue department can accurately position the accident, off-line rescue and on-line users and trailer drivers are convenient to use, and positioning errors are reduced.)
1. An intelligent trailer method based on an AGPS positioning system is characterized in that: the method comprises the following steps:
acquiring position information through a GPS (global positioning system);
acquiring location information by a cellular base station;
and acquiring accurate position information through an AGPS positioning system.
2. The intelligent trailer method based on the AGPS positioning system as claimed in claim 1, wherein: the step of acquiring the position information through the GPS specifically comprises the following steps: after the user sends a position signal requesting positioning, the satellite searches for a position through the signal and returns position data to the user.
3. The intelligent trailer method based on the AGPS positioning system as claimed in claim 1, wherein: the step of obtaining the location information by the cellular base station specifically includes: after the user sends the position information of the positioning request, the cellular base station of the area where the user is located obtains the position information and returns the position data to the user through the cellular network.
4. The intelligent trailer method based on the AGPS positioning system as claimed in claim 1, wherein: the step of obtaining accurate position information by an AGPS positioning system comprises:
acquiring accurate position information through an AGPS positioning system;
acquiring relevant information of a service cell where a user is located and an adjacent cell;
transmitting the cell information to a Google location Server to acquire the longitude and latitude of the corresponding cell through an HTTP (hyper text transport protocol) of a mobile phone;
converting the RSSI value into a corresponding distance according to a radio propagation path loss theory;
converting the information source distance into longitude and latitude;
finding out three groups of data with relatively high credibility;
and obtaining the current position information of the mobile phone by utilizing a triangular centroid algorithm.
5. The AGPS positioning system based intelligent trailer method as claimed in claim 4, wherein: the radio propagation path loss comprises a free space propagation model, a logarithmic distance path loss model, a Hardy model and a logarithmic-normal distribution model.
6. The AGPS positioning system based intelligent trailer method as claimed in claim 5, wherein: the free space propagation model is as follows:
Loss＝32.44+10k log10d+10k log10f (1)
wherein d is the distance between the base station and the information source and the unit is km; f is the transmission frequency in MHz; k is the path attenuation factor.
7. The AGPS positioning system based intelligent trailer method as claimed in claim 5, wherein: the log-normal distribution model is:
PL(d)＝PL(d0)+10klog(d/d0)+Xσ(2)
wherein XσIs a gaussian distribution random variable with an average value of 0.
8. The AGPS positioning system based intelligent trailer method as claimed in claim 4, wherein: the step of obtaining the current position information of the mobile phone by utilizing the triangular centroid algorithm comprises the following steps: taking the distance of the obtained three groups of data with higher reliability as a radius to make a circle, calculating coordinates of three characteristic points of an overlapping area of the three circles, taking the three points as vertexes of the triangle, and taking the centroid of the triangle as an unknown point; and converting the kilometers into longitude and latitude according to the calculated kilometers of the coordinates of the unknown point relative to the origin to obtain accurate position information of the user.
Technical Field
The invention relates to the technical field of position positioning, in particular to an intelligent trailer method based on an AGPS positioning system.
Background
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide an intelligent trailer method based on an AGPS positioning system.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
an intelligent trailer method based on an AGPS positioning system comprises the following steps:
acquiring position information through a GPS (global positioning system);
acquiring location information by a cellular base station;
and acquiring accurate position information through an AGPS positioning system.
Further, in order to better implement the present invention, the step of acquiring the location information by the GPS positioning system specifically includes: after the user sends a position signal requesting positioning, the satellite searches for a position through the signal and returns position data to the user.
Further, in order to better implement the present invention, the step of obtaining the location information by the cellular base station specifically includes: after the user sends the position information of the positioning request, the cellular base station of the area where the user is located obtains the position information and returns the position data to the user through the cellular network.
Further, in order to better implement the present invention, the step of obtaining the precise location information by the AGPS positioning system includes:
acquiring accurate position information through an AGPS positioning system;
acquiring relevant information of a service cell where a user is located and an adjacent cell;
transmitting the cell information to a Google location Server to acquire the longitude and latitude of the corresponding cell through an HTTP (hyper text transport protocol) of a mobile phone;
converting the RSSI value into a corresponding distance according to a radio propagation path loss theory;
converting the information source distance into longitude and latitude;
finding out three groups of data with relatively high credibility;
and obtaining the current position information of the mobile phone by utilizing a triangular centroid algorithm.
Further, for better implementation of the present invention, the radio propagation path loss includes a free space propagation model, a logarithmic distance path loss model, a hart model, and a logarithmic-normal distribution model.
Further, to better implement the present invention, the free space propagation model is:
Loss＝32.44+10klog10d+10klog10f (1)
wherein d is the distance between the base station and the information source and the unit is km; f is the transmission frequency in MHz; k is the path attenuation factor.
Further, for better implementing the present invention, the log-normal distribution model is:
PL(d)＝PL(d0)+10klog(d/d0)+Xσ(2)
wherein XσIs a gaussian distribution random variable with an average value of 0.
Furthermore, in order to better implement the present invention, the step of obtaining the current location information of the mobile phone by using the triangular centroid algorithm includes: taking the distance of the obtained three groups of data with higher reliability as a radius to make a circle, calculating coordinates of three characteristic points of an overlapping area of the three circles, taking the three points as vertexes of the triangle, and taking the centroid of the triangle as an unknown point; and converting the kilometers into longitude and latitude according to the calculated kilometers of the coordinates of the unknown point relative to the origin to obtain accurate position information of the user.
Compared with the prior art, the invention has the beneficial effects that:
the traditional GPS generally needs 2-5 minutes for first positioning, and is generally influenced by the positioning environment, for example, the satellite signals are seriously obstructed by high-rise forests, and the GPS signals are difficult to receive indoors due to the shielding effect of walls. The time for AGPS to start first positioning only needs 3-5 seconds as soon as possible, which is the greatest advantage compared with the traditional GPS. AGPS is to use the position information provided by the mobile cellular base station, and the cellular base station positioning is to use the distance measurement of the base station to the mobile phone to determine the position of the mobile phone, so as to help the GPS chip device built in the body to quickly position.
According to the invention, the GPS system and the cellular base station system are combined with each other through an AGPS technology, and the accurate position is sent by utilizing the cellular network data transmission function and the data processing of the cloud platform, so that the accurate positioning of an accident or a fault car is effectively provided for the first time, and the accurate position information can be sent to a trailer and a rescue department. The rescue time of the accident is increased, the rescue department can accurately position the accident, off-line rescue and on-line users and trailer drivers are convenient to use, and positioning errors are reduced.
The invention improves the positioning algorithm, solves the problem that under the condition of weak signal strength, OTDOA and AFLT use GPS to position all base stations, new positioning entities and positioning centers need to be added in the network, and the position of the mobile station is calculated by utilizing pilot frequency information.
According to the invention, an emergency monitoring platform and an emergency dispatching platform of an organ commanding hall are combined, and the information sent by the user needing rescue is fed back to the emergency dispatching platform in time through the calculation of the cloud computing platform, so that the rescue dispatching command is made.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic diagram of a platform of the AGPS based positioning system according to the present invention;
FIG. 2 is a schematic flow chart of the present invention using an online platform;
FIG. 3 is a schematic diagram of an unknown point obtained after a conventional simulation according to the present invention;
FIG. 4 is a schematic diagram of an unknown point obtained by the triangular centroid algorithm of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Also, in the description of the present invention, the terms "first", "second", and the like are used for distinguishing between descriptions and not necessarily for describing a relative importance or implying any actual relationship or order between such entities or operations.