阅读说明：本技术 一种基于大数据的brt车路协同控制系统 (BRT vehicle road cooperative control system based on big data ) 是由 任子晖 刘磊 刘思琦 柳晓鹏 吴长瑶 闫其筠 秦红旭 孔垂刚 于 2021-08-05 设计创作，主要内容包括：本发明公开了一种基于大数据的BRT车路协同控制系统,包括车载机设备和云平台服务器,所述车载机设备包含电源部分、主控部分、卫星定位部分、通讯部分；车载机汇总GPS信息和车辆信息,并于云平台服务器进行交互,云平台服务器将数据存入数据池,为算法服务器提供数据基础；算法服务器根据基于历史数据和实时数据完成对对交通灯控制的判断,发送给交通灯控制平台,从而实现车辆与地面设备的交互。本发明基于清洗后的BRT运行数据,通过统计和分析出车辆距离红绿灯的时间距离,并根据实时数据判断车辆位置更改相应红绿灯状态；可根据实时数据进行异常数据甄别,并对异常情况发出警报并上传信息中心,减小故障发生概率,减低设备巡检次数和成本。(The invention discloses a BRT (bus rapid transit) vehicle-road cooperative control system based on big data, which comprises vehicle-mounted machine equipment and a cloud platform server, wherein the vehicle-mounted machine equipment comprises a power supply part, a main control part, a satellite positioning part and a communication part; the vehicle-mounted machine collects GPS information and vehicle information, interaction is carried out on a cloud platform server, and the cloud platform server stores data into a data pool to provide a data base for an algorithm server; and the algorithm server finishes the judgment of the traffic light control according to the historical data and the real-time data and sends the judgment to the traffic light control platform, so that the interaction between the vehicle and the ground equipment is realized. According to the method, the time distance between the vehicle and the traffic light is calculated and analyzed based on the BRT running data after cleaning, and the state of the corresponding traffic light is changed according to the position of the vehicle judged according to real-time data; abnormal data can be screened according to real-time data, an alarm is given to an abnormal condition and the abnormal condition is uploaded to an information center, the fault occurrence probability is reduced, and the equipment inspection frequency and cost are reduced.)

1. A BRT vehicle-road cooperative control system based on big data is characterized by comprising vehicle-mounted machine equipment and a cloud platform server, wherein the vehicle-mounted machine equipment comprises a power supply part, a main control part, a satellite positioning part and a communication part; the power supply part provides power for each part respectively, converts the voltage of 9V-36V on the vehicle into the voltage of 12V, 5V and 3.3V, and provides power for each part; the communication part comprises a CAN bus communication module, a 2-path TTL communication module and a 4G module; the satellite positioning part comprises a GPS big dipper dual-mode positioning module and a big dipper GPS dual-mode satellite positioning antenna and is responsible for acquiring vehicle position information through a GPS big dipper dual-satellite positioning system;

the vehicle-mounted machine collects GPS information and vehicle information, interaction is carried out on a cloud platform server, and the cloud platform server stores data into a data pool to provide a data base for an algorithm server; and the algorithm server finishes the judgment of the traffic light control according to the historical data and the real-time data and sends the judgment to the traffic light control platform, so that the interaction between the vehicle and the ground equipment is realized.

2. The BRT vehicle road cooperative control system based on big data as claimed in claim 1, wherein the CAN bus communication module CAN read vehicle engine and instrument panel information, and CAN acquire vehicle state in real time; the 2-path TTL communication module is respectively responsible for communicating with the satellite positioning part and the 4G communication module, sending satellite positioning information and the vehicle state to the 4G communication module through TTL interfaces, and then sending the satellite positioning information and the vehicle state to the server through the 4G communication module.

3. The BRT vehicle-road cooperative control system based on big data as claimed in claim 1, wherein the vehicle-mounted device obtains the vehicle state in real time, obtains the vehicle operation data through a CAN interface of the vehicle-mounted device, and transmits the vehicle operation data to the server in combination with GPS information; the GPS and Beidou dual-mode satellite positioning module is adopted to provide a high-precision vehicle positioning function and can acquire vehicle position information in real time; communicating with a vehicle machine through a CAN interface to acquire other information of vehicle speed; through positioning, the server can acquire real-time position information and vehicle state information of the vehicle, can analyze and decide the position and the state of the vehicle according to big data, and judges whether the self state and the running state of the vehicle are normal or not by combining other weather information.

4. The BRT vehicle-road cooperative control system based on big data as claimed in claim 1, wherein the cloud platform server can record and analyze GPS data uploaded by the vehicle-mounted machine, including speed information and position information, and store the GPS data into a data pool, and perform sorting and analysis on historical data, and establish a BRT line operation model according to time, wherein the model includes operation time, operation position and operation speed information corresponding to the operation time, and can calculate and count various information beneficial to road control and decision making, such as time when a vehicle arrives at an intersection, according to the model.

5. The BRT vehicle-road cooperative control system based on big data as claimed in claim 1, wherein the cloud platform server can perform calculation by combining a BRT operation line model and vehicle real-time data to obtain whether the state of the vehicle in the line is normal or not, and can also determine the road condition by combining information of the vehicle operating on the line.

6. The BRT vehicle and road cooperative control system based on big data as claimed in claim 1, wherein the cloud platform server can perform data interaction with the traffic light control platform, the server can make corresponding decisions according to the obtained data, send the vehicle information and traffic light request information obtained corresponding to the BRT line model to the traffic light control platform, apply for traffic light change application, and feed back the information of the traffic light obtained by the control platform to the vehicle-mounted machine.

Technical Field

The invention relates to the field of intelligent traffic systems, in particular to a BRT (bus rapid transit) vehicle-road cooperative control system based on big data.

Background

An intelligent vehicle-road cooperative system is called a vehicle-road cooperative system for short, and is one of the development directions of intelligent traffic systems.

The vehicle-road cooperation is a safe, efficient and environment-friendly traffic system which adopts the advanced wireless communication and new generation internet technologies and the like, implements vehicle-road dynamic real-time information interaction in all directions, develops vehicle active safety control on the basis of full-time dynamic traffic information acquisition and fusion and can perform road cooperative management, fully realizes effective cooperation of human and vehicle roads, ensures traffic safety and improves traffic efficiency.

The BRT bus rapid transit system is a novel public passenger transport system between rapid rail transit and conventional buses, and has the characteristics that the investment operation is lower than that of rail transit, but the operation effect is close to that of rail transit.

Although the BRT bus operation effect is superior to that of the traditional bus, the BRT bus operation method is still limited by the conditions of non-BRT special road congestion, poor road conditions in rainy and snowy days, traffic lights and the like compared with a rail traffic mode. And at present, the vehicle-mounted host basically has a GPS positioning function, but is more used for the traditional positioning function, the operation mileage statistics and the like. However, the large amount of GPS historical data accumulated by long-term operation of buses is not sufficiently mined and used.

With the advance of urban traffic intelligence, the systems of all platforms are gradually improved, but in most cases, data between all platforms are not effectively interacted and are still mutually independent.

The bus-road coordination is still a new system relative to the public transport, and the bus-road coordination based on new equipment needs to change the road and the vehicle-mounted machine, so that the cost is high and the period is long.

Disclosure of Invention

The invention aims to provide a BRT (bus rapid transit) vehicle-road cooperative control system based on big data, so as to solve the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme:

a BRT vehicle-road cooperative control system based on big data comprises vehicle-mounted equipment and a cloud platform server, wherein the vehicle-mounted equipment comprises a power supply part, a main control part, a satellite positioning part and a communication part; the power supply part provides power for each part respectively, converts the voltage of 9V-36V on the vehicle into the voltage of 12V, 5V and 3.3V, and provides power for each part;

the communication part comprises a CAN bus communication module, a 2-path TTL communication module and a 4G module; the CAN bus communication module CAN read information such as a vehicle engine and an instrument panel and CAN acquire the vehicle state in real time; the 2-path TTL communication module is respectively responsible for communicating with the satellite positioning part and the 4G communication module, sending satellite positioning information and the vehicle state to the 4G communication module through TTL interfaces, and then sending the satellite positioning information and the vehicle state to the server through the 4G communication module;

the satellite positioning part comprises a GPS big dipper dual-mode positioning module and a big dipper GPS dual-mode satellite positioning antenna and is responsible for acquiring vehicle position information through a GPS big dipper dual-satellite positioning system.

The vehicle-mounted machine collects GPS information and vehicle information, interaction is carried out on a cloud platform server, and the cloud platform server stores data into a data pool to provide a data base for an algorithm server; and the algorithm server finishes the judgment of the traffic light control according to the historical data and the real-time data and sends the judgment to the traffic light control platform, so that the interaction between the vehicle and the ground equipment is realized.

The method comprises the steps that the vehicle state is obtained in real time through vehicle-mounted equipment, vehicle operation data are obtained through a CAN interface of the vehicle-mounted equipment, and the vehicle operation data are transmitted to a server in combination with GPS information; the GPS and Beidou dual-mode satellite positioning module is adopted to provide a high-precision vehicle positioning function and can acquire vehicle position information in real time; communicating with a vehicle machine through a CAN interface to acquire other information of vehicle speed; through positioning, the server can acquire real-time position information and vehicle state information of the vehicle, can analyze and decide the position and the state of the vehicle according to big data, and judges whether the self state and the running state of the vehicle are normal or not by combining other information such as weather and the like.

The cloud platform server can record and analyze GPS data uploaded by the vehicle-mounted machine, the GPS data comprises speed information, positions and the like, the speed information, the positions and the like are stored in a data pool, historical data are sorted and analyzed, a BRT line operation model is established according to time, the model comprises information such as operation time, operation positions and operation speeds corresponding to the time, and various information which is beneficial to road control and decision making can be calculated and counted according to the model, for example, the time when a vehicle arrives at a crossroad.

The cloud platform server can be used for calculating by combining the BRT operation line model and the real-time data of the vehicle, acquiring whether the state of the vehicle in the line is normal or not, and judging the road condition by combining the information of the vehicle operating on the line.

The cloud platform server can perform data interaction with the traffic light control platform, the server can make corresponding decisions according to the obtained data, send vehicle information and traffic light request information obtained by the corresponding BRT line model to the traffic light control platform, apply for traffic light change application, and feed back the information of the traffic light obtained by the control platform to the vehicle-mounted machine.

Compared with the prior art, the invention has the advantages that:

1. according to the invention, based on the BRT running data after cleaning, the time distance between the vehicle and the traffic light is calculated and analyzed, and the state of the traffic light corresponding to the change of the vehicle position is judged according to the real-time data.

2. The invention has networking function, can be connected to the peripheral equipment with a network interface on the vehicle, and realizes interconnection and intercommunication of the vehicle-mounted equipment and the ground equipment.

3. The system covers various protocols and interfaces of the vehicle-mounted product, and corresponding configuration is carried out by information center management personnel according to the protocols of various manufacturers.

4. Abnormal data can be screened according to real-time data, an alarm is given to an abnormal condition and the abnormal condition is uploaded to an information center, the fault occurrence probability is reduced, and the equipment inspection frequency and cost are reduced.

5. Based on big data screening calculation, the method does not need human-computer interaction to be automatically carried out, has a standard format for a data source, and is suitable for various vehicle-mounted hosts.

Drawings

Fig. 1 is a system block diagram of a BRT vehicle-road cooperative control system based on big data.

Detailed Description

The technical solution of the present patent will be described in further detail with reference to the following embodiments.

Referring to fig. 1, a big data-based BRT vehicle-road cooperative control system includes a vehicle-mounted device and a cloud platform server, where the vehicle-mounted device includes a power supply part, a main control part, a satellite positioning part, and a communication part; the power supply part provides power for each part respectively, converts the voltage of 9V-36V on the vehicle into the voltage of 12V, 5V and 3.3V, and provides power for each part; the communication part comprises a CAN bus communication module, a 2-path TTL communication module and a 4G module; the CAN bus communication module CAN read information such as a vehicle engine and an instrument panel and CAN acquire the vehicle state in real time; the 2-path TTL communication module is respectively responsible for communicating with the satellite positioning part and the 4G communication module, sending satellite positioning information and the vehicle state to the 4G communication module through TTL interfaces, and then sending the satellite positioning information and the vehicle state to the server through the 4G communication module; the satellite positioning part comprises a GPS big dipper dual-mode positioning module and a big dipper GPS dual-mode satellite positioning antenna and is responsible for acquiring vehicle position information through a GPS big dipper dual-satellite positioning system.

The vehicle-mounted machine collects GPS information and vehicle information, interaction is carried out on a cloud platform server, and the cloud platform server stores data into a data pool to provide a data base for an algorithm server; and the algorithm server finishes the judgment of the traffic light control according to the historical data and the real-time data and sends the judgment to the traffic light control platform, so that the interaction between the vehicle and the ground equipment is realized.

A BRT vehicle road cooperative control system based on big data has the following functions:

(1) the method comprises the steps that the vehicle state is obtained in real time through vehicle-mounted equipment, vehicle operation data are obtained through a CAN interface of the vehicle-mounted equipment, and the vehicle operation data are transmitted to a server in combination with GPS information; the GPS and Beidou dual-mode satellite positioning module is adopted to provide a high-precision vehicle positioning function and can acquire vehicle position information in real time; communicating with a vehicle machine through a CAN interface to acquire other information of vehicle speed; through positioning, the server can acquire real-time position information and vehicle state information of the vehicle, can analyze and decide the position and the state of the vehicle according to big data, and judges whether the self state and the running state of the vehicle are normal or not by combining other information such as weather and the like.

(2) The cloud platform server can record and analyze GPS data uploaded by the vehicle-mounted machine, the GPS data comprises speed information, positions and the like, the speed information, the positions and the like are stored in a data pool, historical data are sorted and analyzed, a BRT line operation model is established according to time, the model comprises information such as operation time, operation positions and operation speeds corresponding to the time, and various information which is beneficial to road control and decision making can be calculated and counted according to the model, for example, the time when a vehicle arrives at a crossroad.

(3) The cloud platform server can be used for calculating by combining the BRT operation line model and the real-time data of the vehicle, acquiring whether the state of the vehicle in the line is normal or not, and judging the road condition by combining the information of the vehicle operating on the line.

(4) The cloud platform server can perform data interaction with the traffic light control platform, the server can make corresponding decisions according to the obtained data, send vehicle information and traffic light request information obtained by the corresponding BRT line model to the traffic light control platform, apply for traffic light change application, and feed back the information of the traffic light obtained by the control platform to the vehicle-mounted machine.

According to the invention, a BRT line operation data model is established based on big data, and limited data resources are fully utilized; the conditions of the vehicle and the road can be judged according to the model established by the big data and the real-time data of the vehicle under the condition of not adding equipment; and more accurate road information is provided for the traffic platform, and the balance of traffic conditions is facilitated.

In addition, the function of the invention can be expanded to special vehicles such as fire fighting vehicles, rescue vehicles and the like without being limited to BRT.

Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.