WO2015188450A1 - 预警处理方法和装置 - Google Patents
预警处理方法和装置 Download PDFInfo
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- WO2015188450A1 WO2015188450A1 PCT/CN2014/084853 CN2014084853W WO2015188450A1 WO 2015188450 A1 WO2015188450 A1 WO 2015188450A1 CN 2014084853 W CN2014084853 W CN 2014084853W WO 2015188450 A1 WO2015188450 A1 WO 2015188450A1
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- driving state
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
Definitions
- BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to the field of communications, and more particularly to an early warning processing method and apparatus.
- M2M Machine-to-Machine/Man
- M2M Machine-to-Machine/Man
- M2M is a networked application and service centered on intelligent interaction of machine terminals. It embeds a wireless communication module inside the machine and uses wireless communication as an access means to provide customers with a comprehensive information solution to meet customers' information needs for monitoring, command and dispatch, data acquisition and measurement.
- M2M Machine-to-Machine/Man
- Internet of Things applications are becoming more and more rapid, and the amount of car traffic is gradually increasing.
- Embodiments of the present invention provide an early warning processing method and apparatus, so as to at least solve the problem that the related art cannot effectively supervise a traffic vehicle and effectively process it.
- an early warning processing method including: acquiring driving state information of one or more machine-to-machine M2M vehicles; determining a driving state of the one or more M2M vehicles based on the driving state information Whether the predetermined warning condition is reached; if the judgment result is YES, the one or more M2M vehicles are subjected to early warning processing.
- the driving state information of the one or more machine-to-machine M2M vehicles is obtained by at least one of: acquiring the driving state information by using a global positioning system GPS reporting installed on the M2M vehicle; Obtaining the driving state information by means of sensor reporting installed on a road on which the M2M vehicle travels; acquiring the driving state information by means of a camera installed on a road on which the M2M vehicle travels; and transmitting a letter through the terminal on the M2M vehicle
- the driving status information is obtained in a manner of reporting.
- the obtaining the driving state information by means of signaling reporting of the terminal of the M2M vehicle comprises: determining, according to the signaling reported by the plurality of terminals, that the plurality of the terminals are on the same M2M vehicle; The signaling reported by a plurality of the terminals on the M2M vehicle adjusts the driving state information of the same M2M vehicle.
- determining whether the driving state of the one or more M2M vehicles reaches the predetermined warning condition according to the driving state information comprises: drawing a driving trajectory of the one or more M2M vehicles according to the driving state information; The driving track determines whether the driving state of the one or more M2M vehicles reaches the predetermined warning condition.
- determining whether the driving state of the one or more M2M vehicles reaches the predetermined warning condition according to the driving track comprises: determining whether a direction of the driving track is the same as a direction indicated by the predetermined warning condition; If the result of the determination is negative, it is determined that the one or more M2M vehicles are in a retrograde state.
- determining whether the driving state of the one or more M2M vehicles reaches the predetermined warning condition according to the driving track comprises: determining whether a position point used for drawing the driving track within a predetermined time is at a predetermined time Within the range of points; if the result of the determination is no, it is determined that the one or more M2M vehicles are in an overspeed or too slow driving state.
- determining whether the driving state of the one or more M2M vehicles reaches the predetermined warning condition according to the driving state information comprises: determining whether the driving state information acquired within a predetermined time is unchanged; In case, it is determined that the driving state of the one or more M2M vehicles is illegal parking or temporary parking.
- performing the early warning processing on the one or more M2M vehicles comprises at least one of: displaying violation information of the one or more M2M vehicles; and performing an audible prompt on the violation information of the one or more M2M vehicles.
- an early warning processing apparatus comprising: an acquisition module 22 configured to acquire driving state information of one or more machine-to-machine M2M vehicles; a determining module 24 configured to drive according to the driving The status information determines whether the driving state of the one or more M2M vehicles reaches a predetermined warning condition; and the processing module 26 is configured to: if the determination result of the determining module is yes, perform the one or more M2M vehicles Early warning processing.
- the obtaining module 22 includes at least one of the following: a first obtaining unit 2202, configured to acquire the driving state information by means of a global positioning system GPS reported on the M2M vehicle; the second acquiring unit 2204 , a method of reporting a sensor installed on a road that travels through the M2M vehicle Acquiring the driving state information; the third obtaining unit 2206 is configured to acquire the driving state information by means of a camera installed on a road on which the M2M vehicle travels; the fourth obtaining unit 2208 is configured to pass the M2M vehicle The driving status information is obtained by means of signaling reporting of the terminal.
- a first obtaining unit 2202 configured to acquire the driving state information by means of a global positioning system GPS reported on the M2M vehicle
- the second acquiring unit 2204 a method of reporting a sensor installed on a road that travels through the M2M vehicle Acquiring the driving state information
- the third obtaining unit 2206 is configured to acquire the driving state information by means of a camera installed on a road on which
- the obtaining module 22 further includes: a determining unit 2210, configured to determine, according to the signaling reported by the multiple terminals, that the multiple terminals are on the same M2M vehicle; and the fifth obtaining unit 2212 is configured to The signaling reported by the plurality of terminals on the same M2M vehicle adjusts the driving state information of the M2M vehicle.
- the determining module 24 includes: a drawing unit 2402, configured to draw a driving track of the one or more M2M vehicles according to the driving state information; and a first determining unit 2404, configured to determine, according to the driving track Whether the driving state of one or more M2M vehicles reaches the predetermined warning condition.
- the determining module 24 includes: a second determining unit 2406, configured to determine whether the direction of the driving track is the same as the direction indicated by the predetermined warning condition; and the second determining unit 2408 is configured to be in the In a case where the determination result of the second determination unit 2406 is NO, it is determined that the one or more M2M vehicles are in the reverse state.
- the determining module 24 includes: a third determining unit 2410, configured to determine whether a position point used for drawing the driving track within a predetermined time is within a predetermined number of points; and third determining unit 2412, setting In a case where the determination result of the third judging unit 2410 is NO, it is determined that the one or more M2M vehicles are in an overspeed or too slow traveling state.
- the determining module 24 includes: a fourth determining unit 2414, configured to determine whether the driving state information acquired within a predetermined time is unchanged; the fourth determining unit 2416, configured to be in the fourth determining unit If the determination result of 2414 is YES, it is determined that the driving state of the one or more M2M vehicles is illegal parking or temporary parking.
- the display unit 52 is configured to display the violation information of the one or more M2M vehicles; and the prompting unit 54 is configured to perform an audible prompt on the violation information of the one or more M2M vehicles.
- the driving state information of acquiring one or more machine-to-machine M2M vehicles is adopted; determining whether the driving state of one or more M2M vehicles reaches a predetermined warning condition according to the driving state information; if the judgment result is yes , for early warning of one or more M2M vehicles.
- the invention solves the problem that the road warning prevention and judgment is not based on the very compatible terminal mode in the related art, realizes the networking system based on various Internet of Things terminals, detects the current traffic system condition, and makes the Internet of Things platform to the entire traffic vehicle.
- the trajectory of the system is processed, so that the entire network has the function of intelligent early warning, which improves the user experience.
- FIG. 1 is a block diagram of a preferred structure of an early warning processing apparatus according to an embodiment of the present invention
- FIG. 2 is a structural block diagram of an early warning processing apparatus according to an embodiment of the present invention
- FIG. 3 is an early warning processing apparatus according to an embodiment of the present invention.
- 1 is a block diagram of a preferred structure of an early warning processing apparatus according to an embodiment of the present invention
- FIG. 5 is a block diagram 3 of a preferred structure of an early warning processing apparatus according to an embodiment of the present invention
- FIG. 7 is a schematic structural diagram of a traffic warning Internet of Things according to an embodiment of the present invention
- FIG. 8 is a schematic diagram of a terminal deployment control module 72 and a communication receiving module 74 in a traffic warning Internet of Things according to an embodiment of the present invention
- FIG. 9 is a flow chart of the early warning process performed by the management alert module 76 in accordance with a preferred embodiment of the present invention.
- DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.
- FIG. 1 is a flowchart of an early warning processing method according to an embodiment of the present invention. As shown in FIG. 1, the flow includes the following steps: Step S102: Acquire one or more The driving state information of the machine to the machine M2M vehicle; Step S104, determining whether the driving state of the one or more M2M vehicles reaches a predetermined warning condition according to the driving state information; Step S106, if the determination result is yes, one or more M2M vehicles are subject to early warning processing.
- the driving state information of the M2M vehicle is acquired, the driving state information of the M2M vehicle is judged, and when it is determined that the driving state of the M2M vehicle reaches the predetermined warning condition, the M2M vehicle is subjected to early warning processing.
- the early warning processing of M2M vehicles based on the Internet of Things platform not only solves the problem that the traffic vehicles cannot be effectively supervised and effectively processed in related technologies, but also timely and effectively supervises the M2M vehicles based on the driving status information. , timely processing, so that the entire IoT network has the function of intelligent early warning, which improves the user experience.
- the above step S102 involves acquiring the driving state information of one or more machine-to-machine M2M vehicles.
- the driving status information may be obtained by means of a global positioning system GPS reporting installed on one or more M2M vehicles; in another preferred embodiment, the road may be traveled by one or more M2M vehicles The driving status information is obtained by the manner in which the sensor is installed; in a further preferred embodiment, the driving status information can be obtained by means of a camera installed on a road on which one or more M2M vehicles are traveling; in still another preferred embodiment The driving status information can be obtained by signaling reporting of the terminal on one or more M2M vehicles.
- the manner of obtaining the driving state information of the M2M vehicle can be flexibly selected according to the usage scenario of the vehicle.
- travel status information is obtained by signaling reporting of terminals on one or more M2M vehicles
- the plurality of terminals may be determined to be on the same M2M vehicle according to the signaling reported by the plurality of terminals, and the driving state information of the M2M vehicle is adjusted according to the signaling reported by the plurality of terminals on the same M2M vehicle.
- the majority principle is adopted to judge that the M2M vehicle is reversed. travel.
- a plurality of processing manners may also be adopted, for example, a manner of traveling the trajectory of the M2M vehicle may be adopted, that is, according to the obtained above
- the driving state information of the one or more M2M vehicles is plotted corresponding to the driving trajectory of the one or more M2M vehicles; and determining whether the driving state of the one or more M2M vehicles reaches the predetermined warning condition according to the driving trajectory.
- the processing may be separately performed according to the specific judgment object:
- the driving direction of the M2M vehicle is determined, that is, the driving trajectory of the M2M vehicle is determined.
- the direction is the same as the direction indicated by the predetermined warning condition; if the determination result is no, it is determined that the one or more M2M vehicles are in the retrograde state.
- determining the traveling speed of the M2M vehicle that is, determining whether the position point used in the predetermined time for drawing the driving track within a predetermined time is within a predetermined number of points; If the result of the determination is negative, it is determined that one or more M2M vehicles are in an overspeed or too slow driving state.
- the M2M vehicle is determined to be out. In the state of speeding.
- whether the M2M vehicle belongs to illegal parking or temporary parking that is, whether the driving state information acquired within a predetermined time period is determined to be unchanged; if the determination result is yes, determining The driving state of the one or more M2M vehicles is illegal parking or temporary parking.
- the M2M vehicle may also adopt various processing for performing early warning processing, for example, including at least one of: displaying violation information of the one or more M2M vehicles through a screen; and violating information of the one or more M2M vehicles. Make an audible prompt.
- processing methods that can serve as prompts can also be used, and details are not described herein again.
- an early warning processing device is further provided, and the device is configured to implement the foregoing method.
- the descriptions of the modules in the foregoing method are not described herein.
- the names of the modules in the device should not be understood as The definition of this module, the functions of the modules described below can be implemented by the processor.
- the apparatus includes: an acquisition module 22 configured to acquire driving state information of one or more machine-to-machine M2M vehicles; And being connected to the obtaining module 22, configured to determine, according to the driving state information, whether the driving state of the one or more M2M vehicles reaches a predetermined early warning condition; the processing module 26 is connected to the determining module 24, and is set to the determination result of the determining module 24. In the case of YES, one or more M2M vehicles are alerted.
- 3 is a block diagram of a preferred structure of an early warning processing apparatus according to an embodiment of the present invention. As shown in FIG.
- the acquisition module 22 includes: a first acquisition unit 2202, which is installed to be installed on one or more M2M vehicles.
- the positioning system GPS reports the manner of obtaining the driving state information;
- the second obtaining unit 2204 is configured to acquire the driving state information by means of the sensor installed on the road on which the one or more M2M vehicles are traveling;
- the third obtaining unit 2206 is configured to pass
- the driving status information is acquired by the camera installed on the road on which the one or more M2M vehicles are traveling;
- the fourth obtaining unit 2208 is configured to acquire the driving state information by means of the terminal loaded on the one or more M2M vehicles.
- FIG. 4 is a block diagram of a preferred structure of an early warning processing apparatus according to an embodiment of the present invention. As shown in FIG.
- the obtaining module 22 further includes: a determining unit 2210, configured to determine, according to signaling reported by multiple terminals, that multiple terminals are in the On the same M2M vehicle; the fifth obtaining unit 2212 is configured to adjust the driving state information of the M2M vehicle according to the signaling reported by the plurality of terminals on the same M2M vehicle.
- 5 is a block diagram 3 of a preferred structure of an early warning processing apparatus according to an embodiment of the present invention.
- the determining module 24 includes a drawing unit 2402 configured to draw a driving trajectory of one or more M2M vehicles according to driving state information.
- a determining unit 2404 is configured to determine whether the driving state of the one or more M2M vehicles reaches a predetermined warning condition according to the driving track.
- the second determining unit 2406 is configured to determine whether the direction of the driving track is the same as the direction indicated by the predetermined warning condition; and the second determining unit 2408 is configured to determine one or the case that the determining result of the second determining unit 2404 is negative.
- Multiple M2M vehicles are in a retrograde state.
- the third determining unit 2410 is configured to determine whether the position point used in the predetermined time when the driving track is drawn on the traveling track is within a predetermined number of points; and the third determining unit 2412 is configured to determine at the third determining unit 2412. If the result is no, it is determined that one or more M2M vehicles are in an overspeed or too slow driving state.
- the fourth determining unit 2414 is configured to determine whether the driving state information acquired in the predetermined time is unchanged.
- the fourth determining unit 2416 is configured to determine one or the case that the fourth determining unit 2414 determines that the result is YES.
- the driving status of multiple M2M vehicles is illegal parking or temporary parking.
- FIG. 6 is a block diagram of a preferred structure of an early warning processing apparatus according to an embodiment of the present invention.
- the processing module 26 includes at least one of the following: a display unit 52, a prompting unit 54, and the processing module 26 is performed below. Description.
- the display unit 52 is configured to display the violation information of one or more M2M vehicles; and the prompting unit 54 is configured to perform an audible prompt for the violation information of the one or more M2M vehicles.
- a traffic system detection and early warning scheme is provided in the preferred embodiment.
- the solution is based on the networking system of various IoT terminals to detect the current traffic system condition, and can draw vehicle trajectories in the current time range for special scenarios such as traffic cases according to input conditions.
- the whole network has the function of intelligent early warning through the universal terminal mode, based on the trajectory of the vehicle for early warning and prevention judgment, and plays the role of prompting and warning.
- FIG. 7 is a schematic structural diagram of a traffic warning Internet of Things according to an embodiment of the present invention. As shown in FIG.
- the architecture includes: a map management module 78, a management early warning module 76 (corresponding to the above-mentioned processing module 26), and a terminal deployment control module 72. (Similar to the above GPS, sensor, camera, terminal) and communication receiving module 74 (comparable to the above-described acquisition module 22), the architecture will be described below.
- the map management module 78 is responsible for updating the area map, and the update map may be from a third party commercial or open source organization, or may be from a research institution.
- the management early warning module 76 which is derived from the definition of the road, is divided into a basic definition warning and a custom warning.
- the basic definition warning may be that the direction of travel of the road is different from that of the road, and the trajectory of the roadway that violates the traffic rules is not allowed to be turned.
- Custom warnings can be defined for specific areas. For example, if parking is not allowed in an area, an alert is issued when parking occurs in that area.
- the management alert module 76 also records non-congestive parking. For example, on a certain expressway, more than 95% of the vehicles are driving at normal speed. If there is parking on the road section, it is considered to be temporary parking and illegal parking. The management alert module 76 will record and record hot spot illegal and temporary parking areas.
- the terminal deployment control module 72 can be divided into a vehicle built-in and a road exterior.
- the built-in vehicle is divided into specially installed GPS positioning, but this method is costly. At the same time, it also supports the mobile phone on the vehicle for positioning and reporting.
- the exterior of the road is mainly to set the sensor and camera mode on the special road section, and record the speed and direction of the vehicle.
- the terminal deployment control module 76 will transmit the information to the communication receiving module 74 by means of short message, IP network, and signaling.
- the communication receiving module 74 is a module that supports multiple communication receiving modes on the server, and receives the message sent by the terminal to be transmitted to the management early warning module 76.
- the communication receiving module 74 is further configured to analyze and convert the mobile phone signaling into coordinate information.
- the terminal reporting message point is a terminal deployment control module 72, and the terminal deployment control module 72 is further It is divided into the following situations for practical application.
- the reporting function of the GPS function on the vehicle, the mobile phone number of the control person and the license plate number information of the vehicle, with precise characteristics, can report the exact position and speed of the vehicle. information.
- the system uploads data every 1 second as the point coordinate longitude latitude and speed of the current vehicle.
- Sensors and cameras installed on the road have the characteristics of scanning vehicle speed and driving direction.
- the terminal deployment module 72 reports the speed and direction of travel of the vehicle. 3.
- the mobile phone signaling positioning method of the person on the vehicle, the current mobile phone penetration rate is already very high.
- the mobile phone signaling on the vehicle can be collected, and the mobile phone signaling positioning is common.
- COO (Cell of Origin) positioning, No.7 signaling positioning, TOA/TDOA positioning mode obtain the coordinate longitude latitude of the vehicle at the current time, and then calculate the speed according to the two reporting intervals to obtain the current vehicle position point.
- the vehicle receiving point and speed information reported by the terminal distribution module 72 is received by the communication receiving module 74, the information is converted into internally identifiable information, which is the current coordinate longitude latitude of the vehicle, the reporting time, the vehicle speed, and the traveling direction. This information is then passed to the management alert module 76.
- the communication receiving module 74 also performs a simple analysis on the reported mobile phone signaling, and the continuous speed of the reported signaling position is completely consistent, and the range is always in a small range, and is considered to be the same passenger of the same vehicle, and is calculated as the same Point, so that the following vehicle track points can be adjusted according to the signaling of several mobile phones to get a more accurate position.
- the Internet of Things platform processes the trajectory of the entire traffic vehicle system, and effectively manages and warns.
- FIG. 9 is a flowchart of the early warning process performed by the management early warning module 76 according to the preferred embodiment of the present invention. As shown in FIG. 9, FIG.
- Step S902 extracting background data, That is, the management early warning module 76 records the data in the background after receiving the data. If the early warning condition is reached, the interface is displayed through the map of the map module.
- the map management module 78 has an accurate description of the urban expressway, and can provide accurate information for both the direction and the speed limit.
- Step S904 drawing a point according to the latitude and longitude time in the recorded data;
- Step S906 connecting the points according to the points into the trajectory, that is, the management early warning module 76 discriminates the basic early warning, and for the vehicle traveling point trajectory drawn in the background, drawing the trajectory according to the reported message
- the included latitude and longitude coordinates are projected onto the corresponding road of the map, and then connected into a trajectory line;
- Step S912 performing the following functions according to the obtained background information and the drawn trajectory line:
- trajectory and direction arrows are displayed on the warning page, indicating that the vehicle is traveling in reverse. It also shows the time and location of the reverse driving, as well as the driving distance.
- the management early warning module 76 after the statistics in the background, analyzes the section where the current highway has the most frequent parking, and the section with the slowest speed and the fastest speed, which is displayed on the management page and can be used for The professional analysis shows the reason for the above situation. For the information reported by the mobile phone, when the vehicle is stationary, the current person can be directly contacted, so that, for example, a collision or an accident can also obtain real-time information at the first time.
- the management early warning module 76 can perform enhanced tracking on the accident-prone road section, and set a setting that cannot be turned over for a certain intersection.
- the management early warning module 76 issues an illegal warning message according to the trajectory drawn in the background, and then issues an early warning message. Step S914, generating an alarm and a result display.
- the second flowchart includes the following steps: Step S922: input a query condition; input a condition time range, a location, a mobile phone number, an IMSI, a license plate number input condition on the management page; Step S924, when inputting the above dimension condition, managing the early warning module 76 searching for matching vehicle trajectory information in the background; step S926, drawing different trajectories according to different vehicles; Step S912, performing the following functions according to the acquired background information and the drawn trajectory line:
- the management early warning module 76 after the statistics in the background, analyzes the section where the current highway has the most frequent parking, and the section with the slowest speed and the fastest speed, which is displayed on the management page and can be used for The professional analysis shows the reason for the above situation. For the information reported by the mobile phone, when the vehicle is stationary, the current person can be directly contacted, so that, for example, a collision or an accident can also obtain real-time information at the first time.
- the management early warning module 76 can perform enhanced tracking on the accident-prone road section, and set a setting that cannot be turned over for a certain intersection.
- the management module generates an early warning message according to the trajectory drawn in the background.
- the display is performed on the page.
- specific vehicles can be monitored and managed according to the input conditions. Not only can the vehicles in violation of the regulations be controlled, but also the witnesses who appear around the accident at the time and the perpetrators who may escape can be accurate and rapid.
- the role of tracking The above embodiments and preferred embodiments of the present invention have the advantages of strong compatibility and low cost, and have a good marketing prospect in the field of Internet of Things.
- an early warning processing method and apparatus provided by an embodiment of the present invention have the following beneficial effects: Implementing a networking system based on various Internet of Things terminals to detect current traffic system conditions and let the Internet of Things platform The trajectory of the entire traffic vehicle system is processed, so that the entire network has the function of intelligent early warning, which improves the user experience.
Abstract
本发明公开了预警处理方法和装置，其中，该方法包括：获取一个或多个机器到机器M2M车辆的行驶状态信息；依据行驶状态信息判断一个或多个M2M车辆的行驶状态是否达到预定预警条件；在判断结果为是的情况下，对一个或多个M2M车辆进行预警处理。通过本发明解决了相关技术中没有基于非常兼容的终端方式来进行道路预警预防判断的问题，实现了基于各种物联网终端的组网系统，来检测当前的交通系统状况，让物联网平台对整个交通车辆系统的轨迹进行处理，使整个网络具有智能预警的功能，提高了用户体验。
Description
预警处理方法和装置 技术领域 本发明涉及通信领域， 更具体地， 涉及一种预警处理方法和装置。 背景技术 机器到机器 /人 （Machine-to-Machine/Man， 简称为 M2M)， 是一种以机器终端智 能交互为核心的、 网络化的应用与服务。 它通过在机器内部嵌入无线通信模块， 以无 线通信等为接入手段， 为客户提供综合的信息化解决方案， 以满足客户对监控、 指挥 调度、 数据采集和测量等方面的信息化需求。 目前，物联网应用随着信息化的发展越来越迅速，汽车交通保有量更是逐渐增加， 然而在相关技术中并没有相应的技术能够对车辆的行驶进行有效监制， 车辆的行驶状 态比较混乱， 对于一些意外事件也不能提前预知， 对于车辆实时发生的事件也不能及 时获知， 因而不能有效进行处理。 因此， 在相关技术中， 存在对交通车辆无法有效进行监制， 并对之进行有效处理 的问题。 发明内容 本发明实施例提供了一种预警处理方法及装置， 以至少解决相关技术存在的对交 通车辆无法有效进行监制， 并对之进行有效处理的问题。 根据本发明的一个方面， 提供了一种预警处理方法， 包括： 获取一个或多个机器 到机器 M2M车辆的行驶状态信息； 依据所述行驶状态信息判断所述一个或多个 M2M 车辆的行驶状态是否达到预定预警条件； 在判断结果为是的情况下， 对所述一个或多 个 M2M车辆进行预警处理。 优选地， 通过以下方式至少之一， 获取所述一个或多个机器到机器 M2M车辆的 所述行驶状态信息： 通过 M2M车辆上所安装的全球定位系统 GPS上报的方式获取所 述行驶状态信息； 通过 M2M车辆行驶的道路上所安装的传感器上报的方式获取所述 行驶状态信息； 通过 M2M车辆行驶的道路上所安装的摄像头上报的方式获取所述行 驶状态信息； 通过 M2M车辆上的终端的信令上报的方式获取所述行驶状态信息。
优选地， 通过 M2M车辆的终端的信令上报的方式获取所述行驶状态信息包括： 依据多个所述终端上报的信令， 确定多个所述终端在同一 M2M车辆上； 依据在所述 同一 M2M车辆上的多个所述终端上报的所述信令调整所述同一 M2M车辆的所述行驶 状态信息。 优选地， 依据所述行驶状态信息判断所述一个或多个 M2M车辆的行驶状态是否 达到所述预定预警条件包括： 依据所述行驶状态信息绘制所述一个或多个 M2M车辆 的行驶轨迹； 依据所述行驶轨迹判断所述一个或多个 M2M车辆的行驶状态是否达到 所述预定预警条件。 优选地， 依据所述行驶轨迹判断所述一个或多个 M2M车辆的行驶状态是否达到 所述预定预警条件包括： 判断所述行驶轨迹的方向与所述预定预警条件所指示的方向 是否相同； 在判断结果为否的情况下， 确定所述一个或多个 M2M车辆处于逆行状态。 优选地， 依据所述行驶轨迹判断所述一个或多个 M2M车辆的行驶状态是否达到 所述预定预警条件包括： 判断在预定时间内用于绘制所述行驶轨迹时所采用的位置点 是否在预定点数范围内； 在判断结果为否的情况下， 确定所述一个或多个 M2M车辆 处于超速或过慢行驶状态。 优选地， 依据所述行驶状态信息判断所述一个或多个 M2M车辆的行驶状态是否 达到预定预警条件包括： 判断在预定时间内获取到的所述行驶状态信息是否不变； 在 判断结果为是的情况下， 确定所述一个或多个 M2M车辆的行驶状态为非法停车或是 临时停车。 优选地， 对所述一个或多个 M2M车辆进行预警处理包括以下至少之一： 显示所 述一个或多个 M2M车辆的违章信息；对所述一个或多个 M2M车辆的违章信息进行声 音提示。 根据本发明的另一个方面， 还提供了 一种预警处理装置， 包括： 获取模块 22， 设置为获取一个或多个机器到机器 M2M车辆的行驶状态信息； 判断模块 24， 设置为 依据所述行驶状态信息判断所述一个或多个 M2M车辆的行驶状态是否达到预定预警 条件； 处理模块 26， 设置为在所述判断模块的判断结果为是的情况下， 对所述一个或 多个 M2M车辆进行预警处理。 优选地， 所述获取模块 22包括以下至少之一： 第一获取单元 2202， 设置为通过 所述 M2M车辆上所安装的全球定位系统 GPS上报的方式获取所述行驶状态信息； 第 二获取单元 2204， 设置为通过所述 M2M车辆行驶的道路上安装的传感器上报的方式
获取所述行驶状态信息； 第三获取单元 2206， 设置为通过所述 M2M车辆行驶的道路 上安装的摄像头上报的方式获取所述行驶状态信息； 第四获取单元 2208， 设置为通过 所述 M2M车辆上的终端的信令上报的方式获取所述行驶状态信息。 优选地， 所述获取模块 22还包括： 确定单元 2210， 设置为依据多个终端上报的 信令， 确定所述多个终端在同一 M2M车辆上； 第五获取单元 2212， 设置为依据在所 述同一 M2M车辆上的所述多个终端上报的所述信令调整所述 M2M车辆的所述行驶状 态信息。 优选地， 所述判断模块 24包括： 绘制单元 2402， 设置为依据所述行驶状态信息 绘制所述一个或多个 M2M车辆的行驶轨迹； 第一判断单元 2404， 设置为依据所述行 驶轨迹判断所述一个或多个 M2M车辆的行驶状态是否达到所述预定预警条件。 优选地， 所述判断模块 24包括： 第二判断单元 2406， 设置为判断所述行驶轨迹 的方向与所述预定预警条件所指示的方向是否相同； 第二确定单元 2408， 设置为在所 述第二判断单元 2406的判断结果为否的情况下，确定所述一个或多个 M2M车辆处于 逆行状态。 优选地， 所述判断模块 24包括： 第三判断单元 2410， 设置为判断在预定时间内 用于绘制所述行驶轨迹时所采用的位置点是否在预定点数范围内； 第三确定单元 2412, 设置为在所述第三判断单元 2410的判断结果为否的情况下，确定所述一个或多 个 M2M车辆处于超速或过慢行驶状态。 优选地， 所述判断模块 24包括： 第四判断单元 2414， 设置为判断在预定时间内 获取到的所述行驶状态信息是否不变； 第四确定单元 2416， 设置为在所述第四判断单 元 2414的判断结果为是的情况下，确定所述一个或多个 M2M车辆的行驶状态为非法 停车或是临时停车。 优选地， 显示单元 52， 设置为显示所述一个或多个 M2M车辆的违章信息； 提示 单元 54， 设置为对所述一个或多个 M2M车辆的违章信息进行声音提示。 通过本发明实施例，采用获取一个或多个机器到机器 M2M车辆的行驶状态信息； 依据行驶状态信息判断一个或多个 M2M车辆的行驶状态是否达到预定预警条件； 在 判断结果为是的情况下， 对一个或多个 M2M车辆进行预警处理。 解决了相关技术中 没有基于非常兼容的终端方式来进行道路预警预防判断的问题， 实现了基于各种物联 网终端的组网系统， 来检测当前的交通系统状况， 让物联网平台对整个交通车辆系统 的轨迹进行处理， 使整个网络具有智能预警的功能， 提高了用户体验。
附图说明 此处所说明的附图用来提供对本发明的进一步理解， 构成本申请的一部分， 本发 明的示意性实施例及其说明用于解释本发明， 并不构成对本发明的不当限定。 在附图 中： 图 1是根据本发明实施例的预警处理方法的流程图； 图 2是根据本发明实施例的预警处理装置的结构框图； 图 3是根据本发明实施例的预警处理装置的优选结构框图一； 图 4是根据本发明实施例的预警处理装置的优选结构框图二； 图 5是根据本发明实施例的预警处理装置的优选结构框图三； 图 6是根据本发明实施例的预警处理装置的优选结构框图四； 图 7是根据本发明实施例的交通预警物联网的架构示意图； 图 8是根据本发明实施例的交通预警物联网中终端布控模块 72和通讯接收模块 74的优选结构示意图； 图 9是根据本发明优选实施方式的管理预警模块 76进行预警处理的流程图。 具体实施方式 需要说明的是， 在不冲突的情况下， 本申请中的实施例及实施例中的特征可以相 互组合。 下面将参考附图并结合实施例来详细说明本发明。 本优选实施例中， 提供了一种预警处理方法， 图 1是根据本发明实施例的预警处 理方法的流程图， 如图 1所示， 该流程包括如下步骤： 步骤 S102， 获取一个或多个机器到机器 M2M车辆的行驶状态信息； 步骤 S104, 依据行驶状态信息判断一个或多个 M2M车辆的行驶状态是否达到预 定预警条件； 步骤 S106, 在判断结果为是的情况下， 对一个或多个 M2M车辆进行预警处理。
通过上述步骤，获取 M2M车辆的行驶状态信息，对 M2M车辆的行驶状态信息进 行判断，在判断 M2M车辆的行驶状态达到预定预警条件时，对 M2M车辆进行预警处 理。 通过基于物联网平台对 M2M车辆进行预警处理， 不仅解决了相关技术中存在的 对交通车辆无法有效进行监制， 并对之进行有效处理的问题， 而且依据 M2M车辆的 行驶状态信息及时有效地进行监制，及时处理，使整个物联网络具有智能预警的功能， 提高了用户体验。 上述步骤 S102, 涉及到获取一个或多个机器到机器 M2M车辆的行驶状态信息， 需要说明的是， 获取上述 M2M车辆的行驶信息的方式可以有多种， 下面对此进行举 例说明。 在一个优选实施例中， 可以通过一个或多个 M2M车辆上所安装的全球定位 系统 GPS上报的方式获取行驶状态信息； 在另一个优选实施例中， 可以通过一个或多 个 M2M车辆行驶的道路上安装的传感器上报的方式获取行驶状态信息； 在又一个优 选实施例中， 可以通过一个或多个 M2M车辆行驶的道路上安装的摄像头上报的方式 获取行驶状态信息； 在还一个优选实施例中， 可以通过一个或多个 M2M车辆上的终 端的信令上报的方式获取行驶状态信息。 上述获取 M2M车辆的行驶状态信息的方式 可以依据车辆的使用场景灵活选择。 在通过一个或多个 M2M车辆上的终端的信令上报的方式获取行驶状态信息的实 施例中， 可能存在一辆 M2M车辆上有多个终端的情况。 在一个优选实施例中可以依 据多个终端上报的信令，确定多个终端在同一 M2M车辆上，依据在同一 M2M车辆上 的多个终端上报的述信令调整 M2M车辆的行驶状态信息。例如， 同一 M2M车辆上有 三个终端， 其中两个终端的信令指示该 M2M车辆为逆向行驶， 一个终端的信令指示 该 M2M车辆不为逆向行驶， 则采用多数原则， 判断该 M2M车辆为逆向行驶。通过根 据同一 M2M车辆上的多个终端的信令进行调整，能够得到该 M2M车辆更精确的行驶 状态。 在依据行驶状态信息判断一个或多个 M2M车辆的行驶状态是否达到预定预警条 件时， 也可以采用多种处理方式， 例如， 可以采用 M2M车辆的行驶的轨迹的方式， 即可以依据获取到的上述一个或多个 M2M车辆的行驶状态信息绘制对应一个或多个 M2M车辆的行驶轨迹； 依据行驶轨迹判断该一个或多个 M2M车辆的行驶状态是否达 到该预定预警条件。 依据 M2M车辆的行驶轨迹进行相应的判断时， 也可以依据具体 判断的对象分别进行处理： 在一个优选实施例中， 实现对该 M2M车辆的行驶方向进行判断， 即判断该 M2M 车辆的行驶轨迹的方向与预定预警条件所指示的方向是否相同； 在判断结果为否的情 况下， 确定该一个或多个 M2M车辆处于逆行状态。
在另一个优选实施例中， 实现对该 M2M车辆的行驶速度进行判断， 即可以判断 在预定时间内用于绘制该行驶轨迹时在预定时间内所采用的位置点是否在预定点数范 围内； 在判断结果为否的情况下， 确定一个或多个 M2M车辆处于超速或过慢行驶状 态。例如， 在预定时间内所获取的 M2M车辆的位置点多于预定点数， 说明该 M2M车 辆的行驶速度小于预定的速度， 则判断该 M2M车辆出于过慢行驶状态， 反之， 判断 该 M2M车辆出于超速行驶状态。 在另一个优选实施例中， 实现对该 M2M车辆是否属于非法停车或是临时停车， 即可以判断在预定时间内获取到的该行驶状态信息是否不变； 在判断结果为是的情况 下， 确定该一个或多个 M2M车辆的行驶状态为非法停车或是临时停车。 优选地， 对该 M2M车辆进行预警处理也可以采用多种处理， 例如， 包括以下至 少之一：通过屏幕显示该一个或多个 M2M车辆的违章信息；对该一个或多个 M2M车 辆的违章信息进行声音提示。 当然也可以采用其它能够起到提示作用的处理方式， 在 此不再赘述。 在本实施例中还提供了一种预警处理装置， 该装置设置为实现上述方法， 在上述 方法中已经进行过说明的在此不再赘述， 以下该装置中的模块的名称不应当理解为对 该模块的限定， 下面所描述的模块的功能可以通过处理器来实现。 图 2是根据本发明实施例的预警处理装置的结构框图， 如图 2所示，该装置包括: 获取模块 22， 设置为获取一个或多个机器到机器 M2M车辆的行驶状态信息； 判断模 块 24， 连接至上述获取模块 22， 设置为依据行驶状态信息判断一个或多个 M2M车辆 的行驶状态是否达到预定预警条件； 处理模块 26， 连接至上述判断模块 24， 设置为在 判断模块 24的判断结果为是的情况下， 对一个或多个 M2M车辆进行预警处理。 图 3是根据本发明实施例的预警处理装置的优选结构框图一， 如图 3所示， 该获 取模块 22包括：第一获取单元 2202，设置为通过一个或多个 M2M车辆上所安装的全 球定位系统 GPS上报的方式获取行驶状态信息；第二获取单元 2204，设置为通过一个 或多个 M2M车辆行驶的道路上安装的传感器上报的方式获取行驶状态信息； 第三获 取单元 2206， 设置为通过一个或多个 M2M车辆行驶的道路上安装的摄像头上报的方 式获取行驶状态信息； 第四获取单元 2208， 设置为通过一个或多个 M2M车辆上所装 载的终端上报的方式获取行驶状态信息。 图 4是根据本发明实施例的预警处理装置的优选结构框图二， 如图 4所示， 获取 模块 22还包括： 确定单元 2210， 设置为依据多个终端上报的信令， 确定多个终端在
同一 M2M车辆上； 第五获取单元 2212， 设置为依据在同一 M2M车辆上的多个终端 上报的信令调整 M2M车辆的行驶状态信息。 图 5是根据本发明实施例的预警处理装置的优选结构框图三， 如图 5所示， 判断 模块 24包括绘制单元 2402，设置为依据行驶状态信息绘制一个或多个 M2M车辆的行 驶轨迹； 第一判断单元 2404， 设置为依据行驶轨迹判断一个或多个 M2M车辆的行驶 状态是否达到预定预警条件。 第二判断单元 2406， 设置为判断行驶轨迹的方向与预定 预警条件所指示的方向是否相同； 第二确定单元 2408， 设置为在第二判断单元 2404 的判断结果为否的情况下， 确定一个或多个 M2M车辆处于逆行状态。 第三判断单元 2410， 设置为判断在行驶轨迹上用于绘制行驶轨迹时在预定时间内所采用的位置点是 否在预定点数范围内； 第三确定单元 2412设置为在第三判断单元 2412的判断结果为 否的情况下， 确定一个或多个 M2M 车辆处于超速或过慢行驶状态。 第四判断单元 2414， 设置为判断在预定时间内获取到的所述行驶状态信息是否不变； 第四判断单元 2416， 设置为在第四判断单元 2414判断结果为是的情况下， 确定一个或多个 M2M车 辆的行驶状态为非法停车或是临时停车。 图 6是根据本发明实施例的预警处理装置的优选结构框图四， 如图 6所示， 该处 理模块 26包括以下至少之一： 显示单元 52、提示单元 54， 下面对该处理模块 26进行 说明。 显示单元 52， 设置为显示一个或多个 M2M车辆的违章信息； 提示单元 54， 设置为对一个或多个 M2M车辆的违章信息进行声音提示。 针对相关技术中所存在的上述问题， 结合上述实施例， 在本优选实施例中提供了 一种交通系统检测预警方案。 该方案基于各种物联网终端的组网系统， 来检测当前的 交通系统状况， 并且可以根据输入条件绘制当前时间范围内的车辆轨迹用于交通案件 等特殊场景。 同时让整个网络具有智能预警的功能通过通用终端方式， 根据车辆的轨 迹进行预警和预防判断， 起到提示和警示的作用。 下面基于物联网的应用系统对该交 通系统检测预警方案进行说明。 图 7是根据本发明实施例的交通预警物联网的架构示意图， 如图 7所示， 该架构 包括： 地图管理模块 78、 管理预警模块 76 (与上述处理模块 26功能相当）、 终端布控 模块 72 (同上述 GPS、 传感器、 摄像头、 终端）和通讯接收模块 74 (与上述获取模块 22功能相当）， 下面对该架构进行说明。
地图管理模块 78， 负责对区域地图进行更新， 更新地图可以来自第三方的商业或 者开源机构， 也可以来自研机构。 管理预警模块 76， 来自对道路的定义预警， 分为基础定义预警和自定义预警。 例 如， 基础定义预警可以为， 和道路的行驶方向不同为逆行， 不允许转向的路口转向等 基础违反交通规则的运动轨迹出现。 自定义预警可以为对特殊区域进行的定义，例如， 某区域不允许停车， 则该区域出现了停车则进行预警。管理预警模块 76还会对非拥堵 性停车进行记录。 例如某段高速路， 超过 95%的车辆以正常速度行驶， 如果该路段出 现停车， 则认为是临时停车和非法停车。管理预警模块 76会进行记录， 并且会记录热 点非法和临时停车区域。 终端布控模块 72， 可以分为车辆内置和道路外置。 车辆内置分为特殊安装的 GPS 定位， 但是该种方式成本较高。 同时也支持车辆上的手机进行定位上报。 道路外置主 要为在特殊路段设置传感器， 摄像头的方式， 记录提取车辆的行驶速度和方向。 终端 布控模块 76将通过短信， IP网络， 信令的方式将信息传送到通讯接收模块 74。 通讯接收模块 74， 为在服务端支持多种通讯接收方式的模块， 对终端布控发送来 的消息进行接收后， 传送给管理预警模块 76。 其中， 该通讯接收模块 74， 还设置为对 手机信令进行分析转化为坐标信息。 图 8是根据本发明实施例的交通预警物联网中终端布控模块 72和通讯接收模块 74的优选结构示意图， 如图 8所示， 终端的上报消息点为终端布控模块 72， 终端布控 模块 72又分为以下几种情况用于实际应用， 1、在车辆上 GPS功能的上报信息布控系 统， 有布控人的手机号和车辆的车牌号信息， 具有精准的特点， 能够上报车辆的准确 位置和速度信息。该系统每隔 1秒上传一次数据为当前车辆的点坐标经度纬度和速度。 2、道路上安装的传感器和摄像头， 具有扫描车辆速度和行驶方向的特点。该终端布控 模块 72， 上报车辆的速度和行驶方向。 3、 车辆上所在人手机信令定位方式， 目前手 机普及率已经非常高， 对于未安装特殊定位布控模块的车辆， 车辆上的人手机信令是 可以采集到的， 手机信令定位采用常见的 COO (Cell of Origin)定位， 七号信令定位， TOA/TDOA定位方式， 得到当前时刻车辆的坐标经度纬度， 然后根据两次上报间隔， 测算出速度， 得到当前车辆的位置点。 对于终端布控模块 72上报的车辆位置点和速度信息， 通讯接收模块 74收到后， 进行转化为内部可识别的信息， 为车辆的当前坐标经度纬度， 上报时间， 车辆速度， 行驶方向。 然后将该信息传送给管理预警模块 76。
同时该通讯接收模块 74还对上报的手机信令进行简单分析，对于上报的信令位置 连续速度完全一致， 且范围一直在较小范围， 则认为是同一辆车的共同乘客， 计算为 同一个点， 这样后面的车辆轨迹点， 可以根据几个手机的信令进行调整， 得到更精确 的位置。 通过上述交通轨迹处理的组网结构及优选组网结构， 使得物联网平台对整个交通 车辆系统的轨迹进行相应处理， 有效地进行了管理和预警。 图 9是根据本发明优选实施方式的管理预警模块 76进行预警处理的流程图，如图 9所示， 图 9包括两个流程图， 其一流程图包括如下步骤： 步骤 S902, 提取后台数据， 即管理预警模块 76在接收到数据后则在后台记录下 该数据。 如果到达预警条件， 则在界面通过地图模块的地图进行展示， 地图管理模块 78具有城市高速道路的准确描述， 对方向和限速都能够提供准确信息。 步骤 S904, 根据记录下的数据中的经纬度时间绘制点； 步骤 S906, 根据点连接成轨迹， 即管理预警模块 76对基础预警进行鉴别， 对于 后台绘制的车辆行驶点轨迹， 绘制轨迹根据上报的消息包含的经度纬度坐标， 投影到 地图的对应道路， 然后连接成一条轨迹线； 步骤 S912, 依据获取到的后台信息及绘制的轨迹线执行以下功能：
( 1 )发现轨迹的行驶方向为逆行， 则在预警页面进行展示出轨迹和方向箭头， 提 示有车辆逆向行驶。 并且展示出逆向行驶的时间和位置， 以及行驶距离。
(2) 管理预警模块 76， 还在后台经过统计后， 进行分析出当前高速路出现停车 最频繁的路段， 以及时速最慢的路段和时速最快的路段， 展示在管理页面， 可以用来 进行专业的分析出现上述情况的原因， 对于手机上报的信息， 在车辆静止的时候， 可 以直接联系到当前人，这样例如有撞车或者事故发生也可以在第一时间得到实时信息。 管理预警模块 76， 可以在事故多发路段， 进行加强跟踪， 设置对某路口不能调头 的设置， 管理预警模块 76根据后台绘制的轨迹， 出现了违章调用的情况， 则发出预警 消息。 步骤 S914, 生成告警和结果显示。 在该流程中例如可以对道路上的所有车辆进行综合的监控， 对少数违反交通规则 的车辆进行综合告警。
其二流程图包括如下步骤： 步骤 S922,输入查询条件；在管理页面上输入条件时间范围，地点，手机号， IMSI, 车牌号输入条件； 步骤 S924, 当输入上述维度条件的时候， 管理预警模块 76在后台搜索匹配的车 辆轨迹信息； 步骤 S926, 根据不同的车辆绘制出不同的轨迹； 步骤 S912, 依据获取到的后台信息及绘制的轨迹线执行以下功能：
( 1 )发现轨迹的行驶方向为逆行， 则在预警页面进行展示出轨迹和方向箭头， 提 示有车辆逆向行驶。 并且展示出逆向行驶的时间和位置， 以及行驶距离。 (2) 管理预警模块 76， 还在后台经过统计后， 进行分析出当前高速路出现停车 最频繁的路段， 以及时速最慢的路段和时速最快的路段， 展示在管理页面， 可以用来 进行专业的分析出现上述情况的原因， 对于手机上报的信息， 在车辆静止的时候， 可 以直接联系到当前人，这样例如有撞车或者事故发生也可以在第一时间得到实时信息。 管理预警模块 76， 可以在事故多发路段， 进行加强跟踪， 设置对某路口不能调头 的设置， 管理模块根据后台绘制的轨迹， 出现了违章调用的情况， 则发出预警消息。 步骤 S914, 进行展示在页面。 在该流程中可以根据输入条件，对特定的车辆进行监控管理，不仅可以对违章的 车辆进行管控， 同时对发生事故当时出现在周围的目击者， 以及可能出现逃逸的肇事 者可以起到精确迅速追踪的作用。 本发明上述实施例及优选实施方式， 具有较强的兼容性和低成本的优势， 在物联 网领域有着不错的市场推广前景。 应当理解的是， 上述针对算法和各具体步骤的举例说明较为具体， 并不能因此而 认为是对本发明的专利保护范围的限制， 本发明的专利保护范围应以所附权利要求为 准。 显然， 本领域的技术人员应该明白， 上述的本发明的各模块或各步骤可以用通用 的计算装置来实现， 它们可以集中在单个的计算装置上， 或者分布在多个计算装置所 组成的网络上， 可选地， 它们可以用计算装置可执行的程序代码来实现， 从而， 可以
将它们存储在存储装置中由计算装置来执行， 或者将它们分别制作成各个集成电路模 块， 或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。 这样， 本发明 不限制于任何特定的硬件和软件结合。 以上所述仅为本发明的优选实施例而已， 并不用于限制本发明， 对于本领域的技 术人员来说， 本发明可以有各种更改和变化。 凡在本发明的精神和原则之内， 所作的 任何修改、 等同替换、 改进等， 均应包含在本发明的保护范围之内。 工业实用性 如上所述， 本发明实施例提供的一种预警处理方法和装置具有以下有益效果： 实 现了基于各种物联网终端的组网系统， 来检测当前的交通系统状况， 让物联网平台对 整个交通车辆系统的轨迹进行处理， 使整个网络具有智能预警的功能， 提高了用户体 验。
Claims
1. 一种预警处理方法， 包括： 获取一个或多个机器到机器 M2M车辆的行驶状态信息；
依据所述行驶状态信息判断所述一个或多个 M2M车辆的行驶状态是否达 到预定预警条件；
在判断结果为是的情况下， 对所述一个或多个 M2M车辆进行预警处理。
2. 根据权利要求 1所述的方法， 其中， 通过以下方式至少之一， 获取所述一个或 多个 M2M车辆的所述行驶状态信息： 通过 M2M车辆上所安装的全球定位系统 GPS上报的方式获取所述行驶状 态信息；
通过 M2M车辆行驶的道路上所安装的传感器上报的方式获取所述行驶状 态信息；
通过 M2M车辆行驶的道路上所安装的摄像头上报的方式获取所述行驶状 态信息；
通过 M2M车辆上的终端的信令上报的方式获取所述行驶状态信息。
3. 根据权利要求 2所述的方法， 其中， 通过 M2M车辆上的所述终端的信令上报 的方式获取所述行驶状态信息包括：
依据多个终端上报的信令， 确定所述多个终端在同一 M2M车辆上； 依据在所述同一 M2M车辆上的所述多个终端上报的所述信令调整所述同 一 M2M车辆的所述行驶状态信息。
4. 根据权利要求 1所述的方法， 其中， 依据所述行驶状态信息判断所述一个或多 个 M2M车辆的行驶状态是否达到所述预定预警条件包括：
依据所述行驶状态信息绘制所述一个或多个 M2M车辆的行驶轨迹； 依据所述行驶轨迹判断所述一个或多个 M2M车辆的行驶状态是否达到所 述预定预警条件。
5. 根据权利要求 4 所述的方法， 其中， 依据所述行驶轨迹判断所述一个或多个 M2M车辆的行驶状态是否达到所述预定预警条件包括：
判断所述行驶轨迹的方向与所述预定预警条件所指示的方向是否相同； 在判断结果为否的情况下，确定所述一个或多个 M2M车辆处于逆行状态。
6. 根据权利要求 4 所述的方法， 其中， 依据所述行驶轨迹判断所述一个或多个 M2M车辆的行驶状态是否达到所述预定预警条件包括： 判断在预定时间内用于绘制所述行驶轨迹时所采用的位置点是否在预定点 数范围内；
在判断结果为否的情况下， 确定所述一个或多个 M2M车辆处于超速或过 慢行驶状态。
7. 根据权利要求 1所述的方法， 其中， 依据所述行驶状态信息判断所述一个或多 个 M2M车辆的行驶状态是否达到预定预警条件包括： 判断在预定时间内获取到的所述行驶状态信息是否不变；
在判断结果为是的情况下， 确定所述一个或多个 M2M车辆的行驶状态为 非法停车或是临时停车。
8. 根据权利要求 1所述的方法， 其中， 对所述一个或多个 M2M车辆进行预警处 理包括以下至少之一：
显示所述一个或多个 M2M车辆的违章信息；
对所述一个或多个 M2M车辆的违章信息进行声音提示。
9. 一种预警处理装置， 包括： 获取模块，设置为获取一个或多个机器到机器 M2M车辆的行驶状态信息； 判断模块， 设置为依据所述行驶状态信息判断所述一个或多个 M2M车辆 的行驶状态是否达到预定预警条件；
处理模块， 设置为在所述判断模块的判断结果为是的情况下， 对所述一个 或多个 M2M车辆进行预警处理。
10. 根据权利要求 9所述的装置， 其中， 所述获取模块包括以下至少之一： 第一获取单元， 设置为通过 M2M车辆上所安装的全球定位系统 GPS上报 的方式获取所述行驶状态信息；
第二获取单元， 设置为通过 M2M车辆行驶的道路上所安装的传感器上报 的方式获取所述行驶状态信息；
第三获取单元， 设置为通过 M2M车辆行驶的道路上所安装的摄像头上报 的方式获取所述行驶状态信息；
第四获取单元， 设置为通过 M2M车辆上所终端的信令上报的方式获取所 述行驶状态信息。
11. 根据权利要求 10所述的装置， 其中， 所述获取模块还包括： 第一确定单元， 设置为依据多个终端上报的信令， 确定所述多个终端在同 一 M2M车辆上； 第五获取单元， 设置为依据在所述同一 M2M车辆上的所述多个终端上报 的所述信令调整所述同一 M2M车辆的所述行驶状态信息。
12. 根据权利要求 9所述的装置， 其中， 所述判断模块包括 绘制单元， 设置为依据所述行驶状态信息绘制所述一个或多个 M2M车辆 的行驶轨迹； 第一判断单元， 设置为依据所述行驶轨迹判断所述一个或多个 M2M车辆 的行驶状态是否达到所述预定预警条件。
13. 根据权利要求 12所述的装置， 其中， 所述判断模块包括： 第二判断单元， 设置为判断所述行驶轨迹的方向与所述预定预警条件所指 示的方向是否相同；
第二确定单元， 设置为在所述第二判断单元的判断结果为否的情况下， 确 定所述一个或多个 M2M车辆处于逆行状态。
14. 根据权利要求 12所述的装置， 其中， 所述判断模块包括： 第三判断单元， 设置为判断在预定时间内用于绘制所述行驶轨迹时所采用 的位置点是否在预定点数范围内；
第三确定单元， 设置为在所述第三判断单元的判断结果为否的情况下， 确 定所述一个或多个 M2M车辆处于超速或过慢行驶状态。
15. 根据权利要求 9所述的装置， 其中， 所述判断模块包括： 第四判断单元， 设置为判断在预定时间内获取到的所述行驶状态信息是否 不变；
第四确定单元， 设置为在所述第四判断单元的判断结果为是的情况下， 确 定所述一个或多个 M2M车辆的行驶状态为非法停车或是临时停车。
16. 根据权利要求 9所述的装置， 其中， 所述处理模块包括以下至少之一：
显示单元， 设置为显示所述一个或多个 M2M车辆的违章信息； 提示单元，设置为对所述一个或多个 M2M车辆的违章信息进行声音提示。
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