CN105280000A - Early warning processing method and apparatus - Google Patents
Early warning processing method and apparatus Download PDFInfo
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- CN105280000A CN105280000A CN201410259138.3A CN201410259138A CN105280000A CN 105280000 A CN105280000 A CN 105280000A CN 201410259138 A CN201410259138 A CN 201410259138A CN 105280000 A CN105280000 A CN 105280000A
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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
Abstract
The invention discloses an early warning processing method and apparatus. The early warning processing method includes the following steps that: the driving status information of one or a plurality of machine-to-machine (M2M) vehicles is obtained; whether the driving status of the one or the plurality of machine-to-machine (M2M) vehicles satisfies a predetermined early warning condition is judged according to the driving status information; and when the driving status of the one or the plurality of machine-to-machine (M2M) vehicles satisfies the predetermined early warning condition, early warning processing is performed on the one or the plurality of machine-to-machine (M2M) vehicles. With the early warning processing method and apparatus of the invention adopted, a method in which traffic early warning prevention and judgment are carried out based on highly compatible terminals, which does not exist in the prior art, can be provided; current traffic system situation can be detected based on a networking system of various kinds of Internet-of-things terminals; the Internet-of-things platform can process the trajectories of a whole traffic vehicle system; the whole network can have an intelligent early warning function; and user experience can be enhanced.
Description
Technical field
The present invention relates to the communications field, more specifically, relate to a kind of early-warning processing method and device.
Background technology
Machine to machine/people (Machine-to-Machine/Man, referred to as M2M), be a kind of with machine terminal intelligent interaction be core, the application of networking and service.It is by embedding wireless communication module at machine intimate, with radio communication etc. for access means, for client provides comprehensive informatization resolve scheme, to meet the information system requirement of client to aspects such as monitoring, command scheduling, data acquisition and measurements.
At present, Internet of Things is applied along with informationalized development is more and more rapider, mechanical transport recoverable amount increases especially gradually, but in the related not corresponding technology effectively can supervise the traveling of vehicle, the transport condition of vehicle is more chaotic, can not predict in advance for some unscheduled events, can not know in time for the real-time event of vehicle, thus can not effectively process.
Therefore, in the related, exist and cannot effectively supervise vehicular traffic, and the problem of effectively process is carried out to it.
Summary of the invention
The invention provides a kind of early-warning processing method and device, at least to solve cannot effectively supervising vehicular traffic of correlation technique existence, and the problem of effectively process is carried out to it.
According to an aspect of the present invention, provide a kind of early-warning processing method, comprising: the running condition information obtaining one or more machine to machine M2M vehicle; Judge whether the transport condition of described one or more M2M vehicle reaches predetermined early-warning conditions according to described running condition information; When judged result is for being, early warning process is carried out to described one or more M2M vehicle.
Preferably, in the following manner one of at least, the described running condition information of described one or more machine to machine M2M vehicle is obtained: the mode reported by the global position system GPS that M2M vehicle is installed obtains described running condition information; The mode that the sensor that the road travelled by M2M vehicle is installed is reported obtains described running condition information; The mode that the camera that the road travelled by M2M vehicle is installed is reported obtains described running condition information; The mode reported by the signaling of the terminal on M2M vehicle obtains described running condition information.
Preferably, the mode reported by the signaling of the terminal of M2M vehicle is obtained described running condition information and comprises: according to the signaling of multiple described terminal to report, determines that multiple described terminal is on same M2M vehicle; According to the described running condition information of the described same M2M vehicle of described signaling adjustment of the multiple described terminal to report on described same M2M vehicle.
Preferably, judge whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions and comprise according to described running condition information: the driving trace drawing described one or more M2M vehicle according to described running condition information; Judge whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions according to described driving trace.
Preferably, judge whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions and comprise according to described driving trace: judge that whether the direction of described driving trace is identical with the direction indicated by described predetermined early-warning conditions; When judged result is no, determine that described one or more M2M vehicle is in retrograde state.
Preferably, judge whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions and comprise according to described driving trace: when judging in the given time for drawing described driving trace, the location point that adopts is whether within the scope of predetermined number of points; When judged result is no, determine that described one or more M2M vehicle is in hypervelocity or crosses slow transport condition.
Preferably, judge whether the transport condition of described one or more M2M vehicle reaches predetermined early-warning conditions and comprise according to described running condition information: judge that whether the described running condition information got in the given time is constant; When judged result is for being, determine that the transport condition of described one or more M2M vehicle is parking violation or temporary parking.
Preferably, to described one or more M2M vehicle carry out early warning process comprise following one of at least: the violation information showing described one or more M2M vehicle; Auditory tone cues is carried out to the violation information of described one or more M2M vehicle.
According to another aspect of the present invention, additionally provide a kind of prewarning processing unit, comprising: acquisition module 22, for obtaining the running condition information of one or more machine to machine M2M vehicle; Judge module 24, for judging according to described running condition information whether the transport condition of described one or more M2M vehicle reaches predetermined early-warning conditions; Processing module 26, for when the judged result of described judge module is for being, carries out early warning process to described one or more M2M vehicle.
Preferably, described acquisition module 22 comprise following one of at least: the first acquiring unit 2202, the mode reported for the global position system GPS by described M2M vehicle is installed obtains described running condition information; Second acquisition unit 2204, the mode that the sensor installed on the road travelled by described M2M vehicle is reported obtains described running condition information; 3rd acquiring unit 2206, the mode that the camera installed on the road travelled by described M2M vehicle is reported obtains described running condition information; 4th acquiring unit 2208, obtains described running condition information for the mode reported by the signaling of the terminal on described M2M vehicle.
Preferably, described acquisition module 22 also comprises: determining unit 2210, for the signaling according to multiple terminal to report, determines that described multiple terminal is on same M2M vehicle; 5th acquiring unit 2212, for adjusting the described running condition information of described M2M vehicle according to the described signaling of the described multiple terminal to report on described same M2M vehicle.
Preferably, described judge module 24 comprises: drawing unit 2402, for drawing the driving trace of described one or more M2M vehicle according to described running condition information; According to described driving trace, first judging unit 2404, judges whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions.
Whether preferably, described judge module 24 comprises: the second judging unit 2406, identical with the direction indicated by described predetermined early-warning conditions for judging the direction of described driving trace; Second determining unit 2408, for when the judged result of described second judging unit 2406 is no, determines that described one or more M2M vehicle is in retrograde state.
Preferably, described judge module 24 comprises: the 3rd judging unit 2410, and whether the location point adopted during for judging in the given time for drawing described driving trace is within the scope of predetermined number of points; 3rd determining unit 2412, for when the judged result of described 3rd judging unit 2410 is no, determines that described one or more M2M vehicle is in hypervelocity or crosses slow transport condition.
Whether preferably, described judge module 24 comprises: the 4th judging unit 2414, constant for judging the described running condition information got in the given time; 4th determining unit 2416, for when the judged result of described 4th judging unit 2414 is for being, determines that the transport condition of described one or more M2M vehicle is parking violation or temporary parking.
Preferably, display unit 52, for showing the violation information of described one or more M2M vehicle; Tip element 54, for carrying out auditory tone cues to the violation information of described one or more M2M vehicle.
By the present invention, adopt the running condition information obtaining one or more machine to machine M2M vehicle; Judge whether the transport condition of one or more M2M vehicle reaches predetermined early-warning conditions according to running condition information; When judged result is for being, early warning process is carried out to one or more M2M vehicle.Solve the problem of not carrying out road early warning prevention judgement in correlation technique based on very compatible terminal mode, achieve the group network system based on various internet-of-things terminal, detect current traffic system situation, the track of platform of internet of things to whole vehicular traffic system is allowed to process, make whole network have the function of intelligent early-warning, improve Consumer's Experience.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the process flow diagram of the early-warning processing method according to the embodiment of the present invention;
Fig. 2 is the structured flowchart of the prewarning processing unit according to the embodiment of the present invention;
Fig. 3 is the preferred structure block diagram one of the prewarning processing unit according to the embodiment of the present invention;
Fig. 4 is the preferred structure block diagram two of the prewarning processing unit according to the embodiment of the present invention;
Fig. 5 is the preferred structure block diagram three of the prewarning processing unit according to the embodiment of the present invention;
Fig. 6 is the preferred structure block diagram four of the prewarning processing unit according to the embodiment of the present invention;
Fig. 7 is the configuration diagram of the traffic prewarning Internet of Things according to the embodiment of the present invention;
Fig. 8 is that in the traffic prewarning Internet of Things according to the embodiment of the present invention, terminal is deployed to ensure effective monitoring and control of illegal activities the preferred structure schematic diagram of module 72 and communication receiver module 74;
Fig. 9 manages the process flow diagram that warning module 76 carries out early warning process according to the preferred embodiment of the present invention.
Embodiment
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the present invention in detail in conjunction with the embodiments.
In this preferred embodiment, provide a kind of early-warning processing method, Fig. 1 is the process flow diagram of the early-warning processing method according to the embodiment of the present invention, and as shown in Figure 1, this flow process comprises the steps:
Step S102, obtains the running condition information of one or more machine to machine M2M vehicle;
According to running condition information, step S104, judges whether the transport condition of one or more M2M vehicle reaches predetermined early-warning conditions;
Step S106, when judged result is for being, carries out early warning process to one or more M2M vehicle.
By above-mentioned steps, obtain the running condition information of M2M vehicle, the running condition information of M2M vehicle being judged, when judging that the transport condition of M2M vehicle reaches predetermined early-warning conditions, early warning process being carried out to M2M vehicle.By carrying out early warning process based on platform of internet of things to M2M vehicle, not only solve cannot effectively supervising vehicular traffic of existing in correlation technique, and it is carried out to the problem of effectively process, and supervise timely and effectively according to the running condition information of M2M vehicle, timely process, make whole internet of things have the function of intelligent early-warning, improve Consumer's Experience.
Above-mentioned steps S102, relate to the running condition information obtaining one or more machine to machine M2M vehicle, it should be noted that, the mode obtaining the driving information of above-mentioned M2M vehicle can have multiple, is illustrated below to this.In a preferred embodiment, the mode that can be reported by the global position system GPS that one or more M2M vehicle is installed obtains running condition information; In a further advantageous embodiment, the mode that the sensor that the road that can be travelled by one or more M2M vehicle is installed is reported obtains running condition information; In another preferred embodiment, the mode that the camera that the road that can be travelled by one or more M2M vehicle is installed is reported obtains running condition information; Going back in a preferred embodiment, the mode that can be reported by the signaling of the terminal on one or more M2M vehicle obtains running condition information.The mode of the running condition information of above-mentioned acquisition M2M vehicle can be selected flexibly according to the use scenes of vehicle.
The mode reported in the signaling by the terminal on one or more M2M vehicle obtains in the embodiment of running condition information, may there is a situation M2M vehicle having multiple terminal.According to the signaling of multiple terminal to report, can determine that multiple terminal is on same M2M vehicle in a preferred embodiment, according to the running condition information stating signaling adjustment M2M vehicle of the multiple terminal to report on same M2M vehicle.Such as, same M2M vehicle has three terminals, wherein the signaling of two terminals indicates this M2M vehicle to be reverse driving, and the signaling of a terminal indicates this M2M vehicle to be not reverse driving, then adopt majority principle, judge that this M2M vehicle is reverse driving.By adjusting according to the signaling of the multiple terminals on same M2M vehicle, the more accurate transport condition of this M2M vehicle can be obtained.
When judging whether the transport condition of one or more M2M vehicle reaches predetermined early-warning conditions according to running condition information, also multiple processing mode can be adopted, such as, the mode of the track of the traveling of M2M vehicle can be adopted, namely can draw the driving trace of corresponding one or more M2M vehicle according to the running condition information of the above-mentioned one or more M2M vehicles got; Judge whether the transport condition of this one or more M2M vehicle reaches this predetermined early-warning conditions according to driving trace.When driving trace according to M2M vehicle judges accordingly, also can process respectively according to the concrete object judged:
In a preferred embodiment, realize judging the travel direction of this M2M vehicle, namely judge that whether the direction of the driving trace of this M2M vehicle is identical with the direction indicated by predetermined early-warning conditions; When judged result is no, determine that this one or more M2M vehicle is in retrograde state.
In a further advantageous embodiment, realize judging the travel speed of this M2M vehicle, whether location point adopted in the given time when namely can judge in the given time for drawing this driving trace is within the scope of predetermined number of points; When judged result is no, determine that one or more M2M vehicle is in hypervelocity or crosses slow transport condition.Such as, the location point of M2M vehicle obtained in the given time, more than predetermined number of points, illustrates that the travel speed of this M2M vehicle is less than predetermined speed, then judge that this M2M vehicle is for crossing slow transport condition, otherwise, judge that this M2M vehicle is for the state of driving over the speed limit.
In a further advantageous embodiment, realize whether parking violation or temporary parking are belonged to this M2M vehicle, namely can judge that whether this running condition information got in the given time is constant; When judged result is for being, determine that the transport condition of this one or more M2M vehicle is parking violation or temporary parking.
Preferably, early warning process is carried out to this M2M vehicle and also can adopt multiple process, such as, comprise following one of at least: by the violation information of this one or more M2M vehicle of screen display; Auditory tone cues is carried out to the violation information of this one or more M2M vehicle.Other can certainly be adopted can to play the processing mode of suggesting effect, do not repeat them here.
Additionally provide a kind of prewarning processing unit in the present embodiment, this device is used for realizing said method, carried out not repeating them here of explanation in the above-mentioned methods, the title of the module below in this device not should be understood to the restriction to this module, below the function of described module can be realized by processor.
Fig. 2 is the structured flowchart of the prewarning processing unit according to the embodiment of the present invention, and as shown in Figure 2, this device comprises: acquisition module 22, for obtaining the running condition information of one or more machine to machine M2M vehicle; Judge module 24, is connected to above-mentioned acquisition module 22, for judging whether the transport condition of one or more M2M vehicle reaches predetermined early-warning conditions according to running condition information; Processing module 26, is connected to above-mentioned judge module 24, for when the judged result of judge module 24 is for being, carries out early warning process to one or more M2M vehicle.
Fig. 3 is the preferred structure block diagram one of the prewarning processing unit according to the embodiment of the present invention, as shown in Figure 3, this acquisition module 22 comprises: the first acquiring unit 2202, and the mode reported for the global position system GPS by one or more M2M vehicle is installed obtains running condition information; Second acquisition unit 2204, the mode that the sensor installed on the road travelled by one or more M2M vehicle is reported obtains running condition information; 3rd acquiring unit 2206, the mode that the camera installed on the road travelled by one or more M2M vehicle is reported obtains running condition information; 4th acquiring unit 2208, the mode for the terminal to report by one or more M2M vehicle loads obtains running condition information.
Fig. 4 is the preferred structure block diagram two of the prewarning processing unit according to the embodiment of the present invention, and as shown in Figure 4, acquisition module 22 also comprises: determining unit 2210, for the signaling according to multiple terminal to report, determines that multiple terminal is on same M2M vehicle; 5th acquiring unit 2212, for the running condition information of the signaling adjustment M2M vehicle according to the multiple terminal to report on same M2M vehicle.
Fig. 5 is the preferred structure block diagram three of the prewarning processing unit according to the embodiment of the present invention, and as shown in Figure 5, judge module 24 comprises drawing unit 2402, for drawing the driving trace of one or more M2M vehicle according to running condition information; According to driving trace, first judging unit 2404, for judging whether the transport condition of one or more M2M vehicle reaches predetermined early-warning conditions.Whether the second judging unit 2406 is identical with the direction indicated by predetermined early-warning conditions for judging the direction of driving trace; Second determining unit 2408, for when the judged result of the second judging unit 2404 is no, determines that one or more M2M vehicle is in retrograde state.3rd judging unit 2410, whether location point adopted in the given time during for judging on driving trace for drawing driving trace is within the scope of predetermined number of points; 3rd determining unit 2412, for when the judged result of the 3rd judging unit 2412 is no, determines that one or more M2M vehicle is in hypervelocity or crosses slow transport condition.Whether the 4th judging unit 2414 is constant for judging the described running condition information got in the given time; 4th judging unit 2416, for when the 4th judging unit 2414 judged result is for being, determines that the transport condition of one or more M2M vehicle is parking violation or temporary parking.
Fig. 6 is the preferred structure block diagram four of the prewarning processing unit according to the embodiment of the present invention, as shown in Figure 6, this processing module 26 comprise following one of at least: display unit 52, Tip element 54, be described this processing module 26 below.
Display unit 52, for showing the violation information of one or more M2M vehicle;
Tip element 54, for carrying out auditory tone cues to the violation information of one or more M2M vehicle.
For the problems referred to above existing in correlation technique, in conjunction with above-described embodiment, provide a kind of traffic system in the preferred embodiment and detect early warning scheme.The program, based on the group network system of various internet-of-things terminal, detects current traffic system situation, and can draw track of vehicle in current time frame for special screnes such as traffic casees according to initial conditions.Allow whole network have the function of intelligent early-warning by general purpose terminal mode simultaneously, carry out early warning and prevention judgement according to the track of vehicle, play the effect of prompting and warning.Application system below based on Internet of Things is described this traffic system detection early warning scheme.
Fig. 7 is the configuration diagram of the traffic prewarning Internet of Things according to the embodiment of the present invention, as shown in Figure 7, this framework comprises: management map module 78, management warning module 76 (suitable with above-mentioned processing module 26 function), terminal are deployed to ensure effective monitoring and control of illegal activities module 72 (with above-mentioned GPS, sensor, camera, terminal) and communication receiver module 74 (suitable with above-mentioned acquisition module 22 function), are described below to this framework.
Management map module 78, be responsible for upgrading area map, upgrading map can from third-party business or the mechanism that increases income, also can from grinding mechanism.
Management warning module 76, from the definition early warning to road, is divided into underlying definition early warning and self-defined early warning.Such as, underlying definition early warning can be, and the travel direction of road is not all retrograde, and the movement locus that the basis such as do not allow the crossing turned to turn to violates the traffic regulations occurs.Self-defined early warning can for the definition carried out special area, and such as, Parking permitted in certain region, then this region has occurred stopping then carrying out early warning.Management warning module 76 also can stop to non-blocking up property and carry out record.Such as certain section of expressway, the vehicle more than 95% travels with normal speed, if stopping appears in this section, then thinks temporary parking and parking violation.Management warning module 76 can carry out record, and can record the illegal and temporary parking region of focus.
Terminal is deployed to ensure effective monitoring and control of illegal activities module 72, can be divided into built-in vehicle and road external.Built-in vehicle is divided into the GPS of special mounting to locate, but this kind of mode cost is higher.Mobile phone simultaneously also on support unit positions and reports.External being mainly of road arranges sensor at special road section, the mode of camera, and record extracts travel speed and the direction of vehicle.Terminal deploys to ensure effective monitoring and control of illegal activities module 76 will by note, IP network, and information is sent to communication receiver module 74 by the mode of signaling.
Communication receiver module 74, for supporting the module of multiple communication receive mode in service end, deploys to ensure effective monitoring and control of illegal activities after the message of sending receives to terminal, sends management warning module 76 to.Wherein, this communication receiver module 74, is also converted into coordinate information for carrying out analysis to mobile phone signaling.
Fig. 8 is that in the traffic prewarning Internet of Things according to the embodiment of the present invention, terminal is deployed to ensure effective monitoring and control of illegal activities the preferred structure schematic diagram of module 72 and communication receiver module 74, as shown in Figure 8, the reporting message point of terminal is that terminal is deployed to ensure effective monitoring and control of illegal activities module 72, terminal module 72 of deploying to ensure effective monitoring and control of illegal activities is divided into again following several situation for practical application, 1, the reporting information cloth Ore-controlling Role of GPS function on vehicle, there are the cell-phone number of the people that deploys to ensure effective monitoring and control of illegal activities and the license plate number information of vehicle, there is feature accurately, accurate location and the velocity information of vehicle can be reported.This system uploaded the point coordinate latitude, longitude and speed that a secondary data is Current vehicle every 1 second.2, sensor road installed and camera, have the feature of scanning car speed and travel direction.This terminal is deployed to ensure effective monitoring and control of illegal activities module 72, reports speed and the travel direction of vehicle.3, people from place mobile phone signaling locator meams on vehicle, current mobile phone popularity rate is very high, to deploy to ensure effective monitoring and control of illegal activities the vehicle of module for not installing special location, the people's mobile phone signaling on vehicle can collect, and mobile phone signaling location adopts common COO (CellofOrigin) location, Signaling System Number 7 is located, TOA/TDOA locator meams, obtains the coordinate latitude, longitude of current time vehicle, then reports interval according to twice, calculate speed, obtain the location point of Current vehicle.
Terminal is deployed to ensure effective monitoring and control of illegal activities the vehicle location point and velocity information that module 72 reports, after communication receiver module 74 receives, carries out being converted into inner discernible information, be the changing coordinates latitude, longitude of vehicle, above call time, car speed, travel direction.Then this information is sent to management warning module 76.
This communication receiver module 74 also carries out simple analysis to the mobile phone signaling reported simultaneously, completely the same for the signaling position continuous velocity reported, and scope is always more among a small circle, then think the common passenger of same car, be calculated as same point, track of vehicle point so below, can adjust according to the signaling of several mobile phone, obtain more accurate position.
By networking structure and the preferred networking structure of the process of above-mentioned traffic track, make the track of platform of internet of things to whole vehicular traffic system carry out respective handling, effectively carried out management and early warning.
Fig. 9 manages the process flow diagram that warning module 76 carries out early warning process according to the preferred embodiment of the present invention, and as shown in Figure 9, Fig. 9 comprises two process flow diagrams, and one process flow diagram comprises the steps:
Step S902, extracts back-end data, namely manages warning module 76 and then records this data on backstage after receiving the data.If arrival early-warning conditions, then the map at interface by mapping module is shown, management map module 78 has the accurate description of urban freeway, can both provide accurate information to direction and speed limit.
Step S904, according to the longitude and latitude time graphical pointv in the data recorded;
Step S906, connects into track according to point, namely manages warning module 76 and differentiates basic early warning, the vehicle drawn for backstage travels the locus of points, the latitude, longitude coordinate that track drafting comprises according to the message reported, projects to the corresponding road of map, then connects into a trajectory;
Step S912, the trajectory according to the background information got and drafting performs following functions:
(1) travel direction of discovery track is retrograde, then carry out showing track and direction arrow at the early warning page, and prompting has vehicle driving in reverse.And show time and the position of reverse driving, and operating range.
(2) warning module 76 is managed, also backstage through statistics after, carry out analyzing current expressway and occur section the most frequently of stopping, and the slowest section of speed per hour and the fastest section of speed per hour, being illustrated in administration page, there is the reason of above-mentioned situation in the analysis that can be used for carrying out specialty, for the information that mobile phone reports, when stationary vehicle, can contact directly and work as forefathers, so such as have collision or accident to occur also to obtain real-time information in the very first time.
Management warning module 76, in accident-prone road section, can carry out adding strong tracking, arranges the setting can not reversed end for end to certain crossing, the track that management warning module 76 is drawn according to backstage, has occurred situation about calling violating the regulations, has then sent early warning information.
Step S914, generates alarm and result display.
In this flow process, such as can carry out comprehensive monitoring to all vehicles on road, comprehensive warning is carried out to the vehicle that minority violates the traffic regulations.
Its two process flow diagram comprises the steps:
Step S922, input inquiry condition; Initial conditions time range on administration page, place, cell-phone number, IMSI, license plate number initial conditions;
Step S924, in time inputting above-mentioned dimension condition, management warning module 76 is in the track of vehicle information of backstage search coupling;
Step S926, draws out different tracks according to different vehicles;
Step S912, the trajectory according to the background information got and drafting performs following functions:
(1) travel direction of discovery track is retrograde, then carry out showing track and direction arrow at the early warning page, and prompting has vehicle driving in reverse.And show time and the position of reverse driving, and operating range.
(2) warning module 76 is managed, also backstage through statistics after, carry out analyzing current expressway and occur section the most frequently of stopping, and the slowest section of speed per hour and the fastest section of speed per hour, being illustrated in administration page, there is the reason of above-mentioned situation in the analysis that can be used for carrying out specialty, for the information that mobile phone reports, when stationary vehicle, can contact directly and work as forefathers, so such as have collision or accident to occur also to obtain real-time information in the very first time.
Management warning module 76, in accident-prone road section, can carry out adding strong tracking, arranges the setting can not reversed end for end to certain crossing, the track that administration module is drawn according to backstage, has occurred situation about calling violating the regulations, has then sent early warning information.
Step S914, carries out being illustrated in the page.
Can according to initial conditions in this flow process, monitoring management is carried out to specific vehicle, not only can carry out management and control to vehicle violating the regulations, simultaneously to the eyewitness appearing at surrounding at that time that has an accident, and may occur that the troublemaker escaped can play the effect of accurately following the trail of rapidly.
The above embodiment of the present invention and preferred implementation, have stronger compatibility and the advantage of low cost, has good marketing prospect in Internet of Things field.
Should be understood that, above-mentioned comparatively concrete for illustrating of algorithm and each concrete steps, therefore can not think the restriction to scope of patent protection of the present invention, scope of patent protection of the present invention should be as the criterion with claims.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, they can be stored and be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (16)
1. an early-warning processing method, is characterized in that, comprising:
Obtain the running condition information of one or more machine to machine M2M vehicle;
Judge whether the transport condition of described one or more M2M vehicle reaches predetermined early-warning conditions according to described running condition information;
When judged result is for being, early warning process is carried out to described one or more M2M vehicle.
2. method according to claim 1, is characterized in that, in the following manner one of at least, obtains the described running condition information of described one or more M2M vehicle:
The mode reported by the global position system GPS that M2M vehicle is installed obtains described running condition information;
The mode that the sensor that the road travelled by M2M vehicle is installed is reported obtains described running condition information;
The mode that the camera that the road travelled by M2M vehicle is installed is reported obtains described running condition information;
The mode reported by the signaling of the terminal on M2M vehicle obtains described running condition information.
3. method according to claim 2, is characterized in that, the mode reported by the signaling of the described terminal on M2M vehicle is obtained described running condition information and comprises:
According to the signaling of multiple terminal to report, determine that described multiple terminal is on same M2M vehicle;
According to the described running condition information of the described same M2M vehicle of described signaling adjustment of the described multiple terminal to report on described same M2M vehicle.
4. method according to claim 1, is characterized in that, judges whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions and comprise according to described running condition information:
The driving trace of described one or more M2M vehicle is drawn according to described running condition information;
Judge whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions according to described driving trace.
5. method according to claim 4, is characterized in that, judges whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions and comprise according to described driving trace:
Judge that whether the direction of described driving trace is identical with the direction indicated by described predetermined early-warning conditions;
When judged result is no, determine that described one or more M2M vehicle is in retrograde state.
6. method according to claim 4, is characterized in that, judges whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions and comprise according to described driving trace:
When judging in the given time for drawing described driving trace, whether the location point that adopts is within the scope of predetermined number of points;
When judged result is no, determine that described one or more M2M vehicle is in hypervelocity or crosses slow transport condition.
7. method according to claim 1, is characterized in that, judges whether the transport condition of described one or more M2M vehicle reaches predetermined early-warning conditions and comprise according to described running condition information:
Judge that whether the described running condition information got in the given time is constant;
When judged result is for being, determine that the transport condition of described one or more M2M vehicle is parking violation or temporary parking.
8. method according to claim 1, is characterized in that, to described one or more M2M vehicle carry out early warning process comprise following one of at least:
Show the violation information of described one or more M2M vehicle;
Auditory tone cues is carried out to the violation information of described one or more M2M vehicle.
9. a prewarning processing unit, is characterized in that, comprising:
Acquisition module, for obtaining the running condition information of one or more machine to machine M2M vehicle;
Judge module, for judging according to described running condition information whether the transport condition of described one or more M2M vehicle reaches predetermined early-warning conditions;
Processing module, for when the judged result of described judge module is for being, carries out early warning process to described one or more M2M vehicle.
10. device according to claim 9, is characterized in that, described acquisition module comprise following one of at least:
First acquiring unit, the mode reported for the global position system GPS by M2M vehicle is installed obtains described running condition information;
Second acquisition unit, the mode that the sensor installed on the road travelled by M2M vehicle is reported obtains described running condition information;
3rd acquiring unit, the mode that the camera installed on the road travelled by M2M vehicle is reported obtains described running condition information;
4th acquiring unit, obtains described running condition information for the mode reported by the signaling of institute's terminal on M2M vehicle.
11. devices according to claim 10, is characterized in that, described acquisition module also comprises:
First determining unit, for the signaling according to multiple terminal to report, determines that described multiple terminal is on same M2M vehicle;
5th acquiring unit, for the described running condition information of the described same M2M vehicle of described signaling adjustment according to the described multiple terminal to report on described same M2M vehicle.
12. devices according to claim 9, is characterized in that, described judge module comprises:
Drawing unit, for drawing the driving trace of described one or more M2M vehicle according to described running condition information;
First judging unit, for judging according to described driving trace whether the transport condition of described one or more M2M vehicle reaches described predetermined early-warning conditions.
13. devices according to claim 12, is characterized in that, described judge module comprises:
Whether the second judging unit is identical with the direction indicated by described predetermined early-warning conditions for judging the direction of described driving trace;
Second determining unit, for when the judged result of described second judging unit is no, determines that described one or more M2M vehicle is in retrograde state.
14. devices according to claim 12, is characterized in that, described judge module comprises:
3rd judging unit, whether the location point adopted during for judging in the given time for drawing described driving trace is within the scope of predetermined number of points;
3rd determining unit, for when the judged result of described 3rd judging unit is no, determines that described one or more M2M vehicle is in hypervelocity or crosses slow transport condition.
15. devices according to claim 9, is characterized in that, described judge module comprises:
Whether the 4th judging unit is constant for judging the described running condition information got in the given time;
4th determining unit, for when the judged result of described 4th judging unit is for being, determines that the transport condition of described one or more M2M vehicle is parking violation or temporary parking.
16. devices according to claim 9, is characterized in that, described processing module comprise following one of at least:
Display unit, for showing the violation information of described one or more M2M vehicle;
Tip element, for carrying out auditory tone cues to the violation information of described one or more M2M vehicle.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410259138.3A CN105280000A (en) | 2014-06-11 | 2014-06-11 | Early warning processing method and apparatus |
| PCT/CN2014/084853 WO2015188450A1 (en) | 2014-06-11 | 2014-08-20 | Pre-alarm processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410259138.3A CN105280000A (en) | 2014-06-11 | 2014-06-11 | Early warning processing method and apparatus |
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| CN105280000A true CN105280000A (en) | 2016-01-27 |
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| CN201410259138.3A Pending CN105280000A (en) | 2014-06-11 | 2014-06-11 | Early warning processing method and apparatus |
Country Status (2)
| Country | Link |
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| CN (1) | CN105280000A (en) |
| WO (1) | WO2015188450A1 (en) |
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