CN110599791A - Information monitoring method, device and equipment - Google Patents
Information monitoring method, device and equipment Download PDFInfo
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- CN110599791A CN110599791A CN201911035811.4A CN201911035811A CN110599791A CN 110599791 A CN110599791 A CN 110599791A CN 201911035811 A CN201911035811 A CN 201911035811A CN 110599791 A CN110599791 A CN 110599791A
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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
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
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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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
Abstract
The application provides an information monitoring method, device and equipment, wherein the method comprises the following steps: acquiring current driving information and current driving route information of a driving terminal from a preset database; generating control information for the driving terminal according to the current driving information and the current driving route information; and sending the control information to the driving terminal. According to the method and the device, the control information of the driving terminal is generated according to the current driving information and the current driving route information of the driving terminal, and the control information is sent to the driving terminal so that the driving terminal can adjust the driving state according to the control information.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to an information monitoring method, apparatus, and device.
Background
The concept of the internet of vehicles is derived from the internet of things, namely the internet of vehicles, and the internet connection between vehicles and X (namely Vehicle-to-Vehicle, people, roads, service platforms and the like, namely "V2X" for short) is realized by taking the running vehicles as information perception objects and by means of a new generation of information communication technology.
The Internet of vehicles senses the state information of vehicles by using a sensing technology and realizes intelligent management of traffic, intelligent decision of traffic information service and intelligent control of vehicles by using a wireless communication network and a modern intelligent information processing technology. The overall intelligent driving level of the vehicle is improved, safe, comfortable, intelligent and efficient driving feeling and traffic service are provided for users, and meanwhile, the traffic operation efficiency is improved.
With the rapid development of the internet of vehicles, more and more automatic driving accidents are caused, and how to scientifically manage and control the automatic driving vehicles and ensure the automatic driving safety and smooth traffic becomes a problem to be solved urgently.
Disclosure of Invention
An object of the embodiment of the application is to provide an information monitoring method, an information monitoring device and information monitoring equipment, which are used for generating control information of a driving terminal according to current driving information and current driving route information of the driving terminal and sending the control information to the driving terminal so that the driving terminal can adjust a driving state according to the control information.
A first aspect of an embodiment of the present application provides an information monitoring method, including: acquiring current driving information and current driving route information of a driving terminal from a preset database; generating control information for the driving terminal according to the current driving information and the current driving route information; and sending the control information to the driving terminal.
In one embodiment, the current driving information includes: the identification code, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information of the current driving route; and generating control information for the driving terminal according to the current driving information and the current driving route information, including: searching in the navigation information according to the identification code, and finding out a speed threshold value range, which is allowed by the driving terminal at the current position and corresponds to the identification code; judging whether the current speed is within the speed threshold range; and if the current speed is not within the speed threshold range, generating speed adjustment information aiming at the running terminal.
In one embodiment, the current driving information includes: the identification code, the current time, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information and weather information of the current driving route; and the generating control information for the driving terminal according to the current driving information and the current driving route information includes: searching the destination of the driving terminal in the navigation information according to the identification code; calculating the arrival time of the traveling terminal traveling to the destination according to the current time, the current speed, the current position and the navigation information; according to the weather information, predicting weather condition information of the destination at the arrival time; and when the weather condition information of the destination at the arrival time has a preset characteristic, generating weather early warning information aiming at the driving terminal.
In one embodiment, the current driving route information includes: accident rate and accident damage degree information of the current driving route; the method further comprises the following steps: judging whether the current driving route is within a preset safety level range or not according to the accident rate and the accident damage degree information; and if the current driving route is not in the preset safety level range, generating driving route adjusting information and sending the driving route adjusting information to the driving terminal.
In one embodiment, the method further comprises: acquiring image data of a cockpit of the driving terminal; identifying the image data to obtain the driving behavior of the driver; judging whether the driving behavior is a preset irregular behavior; and if the driving behavior is a preset irregular behavior, generating driving behavior adjustment information, and sending the driving behavior adjustment information to the driving terminal.
In one embodiment, the step of establishing the predetermined database includes: collecting the driving data of a plurality of driving terminals and the information of a plurality of driving routes; carrying out data classification on the driving data and the information of the driving route to obtain classified data information; normalizing the classified data information to obtain target driving data and target driving route information which accord with a preset standard; and acquiring weather forecast information and map information corresponding to the target driving data and the target driving route information, and establishing the preset database according to the weather forecast information and the map information.
A second aspect of the embodiments of the present application provides an information monitoring apparatus, including: the first acquisition module is used for acquiring the current driving information and the current driving route information of the driving terminal from a preset database; the first generation module is used for generating control information of the driving terminal according to the current driving information and the current driving route information; and the sending module is used for sending the control information to the driving terminal.
In one embodiment, the current driving information includes: the identification code, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information of the current driving route; and the first generating module is used for: searching in the navigation information according to the identification code, and finding out a speed threshold value range, which is allowed by the driving terminal at the current position and corresponds to the identification code; judging whether the current speed is within the speed threshold range; and if the current speed is not within the speed threshold range, generating speed adjustment information aiming at the running terminal.
In one embodiment, the current driving information includes: the identification code, the current time, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information and weather information of the current driving route; and the first generating module is used for: searching the destination of the driving terminal in the navigation information according to the identification code; calculating the arrival time of the traveling terminal traveling to the destination according to the current time, the current speed, the current position and the navigation information; according to the weather information, predicting weather condition information of the destination at the arrival time; when the weather condition information of the destination at the arrival time has a preset characteristic, generating weather early warning information aiming at the driving terminal; the current travel route information includes: accident rate and accident damage degree information of the current driving route.
In one embodiment, the apparatus further comprises: the first judgment module is used for judging whether the current driving route is within a preset safety level range according to the accident rate and the accident damage degree information; and the second generation module is used for generating driving route adjustment information if the current driving route is not in the preset safety level range, and sending the driving route adjustment information to the driving terminal.
In one embodiment, the method further comprises: the second acquisition module is used for acquiring the image data of the cockpit of the driving terminal; the identification module is used for identifying the image data to obtain the driving behavior of the driver; the second judgment module is used for judging whether the driving behavior is a preset irregular behavior; and the third generation module is used for generating driving behavior adjustment information if the driving behavior is a preset irregular behavior, and sending the driving behavior adjustment information to the driving terminal.
In an embodiment, the system further includes a setup module configured to: collecting the driving data of a plurality of driving terminals and the information of a plurality of driving routes; carrying out data classification on the driving data and the information of the driving route to obtain classified data information; normalizing the classified data information to obtain target driving data and target driving route information which accord with a preset standard; and acquiring weather forecast information and map information corresponding to the target driving data and the target driving route information, and establishing the preset database according to the weather forecast information and the map information.
A third aspect of embodiments of the present application provides an electronic device, including: a memory to store a computer program; the processor is configured to execute the method according to the first aspect and any one of the embodiments of the present application, so as to generate control information for a driving terminal according to current driving information and current driving route information of the driving terminal, and send the control information to the driving terminal, so that the driving terminal adjusts a driving state according to the control information.
According to the information monitoring method, the information monitoring device and the information monitoring equipment, the control information of the driving terminal is generated according to the current driving information and the current driving route information of the driving terminal, and the control information is sent to the driving terminal so that the driving terminal can adjust the driving state according to the control information. The driving terminal of the automatic driving can be effectively controlled.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 2 is a schematic flowchart of an information monitoring method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of an information monitoring method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of an information monitoring method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an information monitoring apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. In the description of the present application, the terms "first," "second," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
As shown in fig. 1, the present embodiment provides an electronic apparatus 1 including: at least one processor 11 and a memory 12, one processor being exemplified in fig. 1. The processor 11 and the memory 12 are connected by a bus 10, and the memory 12 stores instructions executable by the processor 11 and the instructions are executed by the processor 11.
In an embodiment, in a scenario of the internet of vehicles, the monitoring platform may be used to monitor vehicle position information, user information, service information, fault information, and the like, and the driving terminal may be a vehicle.
Please refer to fig. 2, which is an information monitoring method according to an embodiment of the present application, and the method may be executed by the electronic device 1 shown in fig. 1, and may be applied to a scenario of an internet of vehicles, and implement generating control information for a driving terminal according to current driving information and current driving route information of the driving terminal, and sending the control information to the driving terminal, so that the driving terminal adjusts a driving state according to the control information. The method comprises the following steps:
step 201: and acquiring the current driving information and the current driving route information of the driving terminal from a preset database.
In this step, the driving terminal may be a vehicle in a vehicle network, and first collects relevant information of the vehicle in the vehicle network, and then establishes a preset database. And acquiring the current running information and the current running route information of the running vehicle from the database.
In one embodiment, the step of establishing the predetermined database includes: the method comprises the steps of collecting driving data of a plurality of driving terminals and information of a plurality of driving routes. And carrying out data classification on the driving data and the information of the driving route to obtain classified data information. And carrying out normalization processing on the classified data information to obtain target driving data and target driving route information which accord with preset standards. And acquiring weather forecast information and map information corresponding to the target driving data and the target driving route information, and establishing a preset database according to the weather forecast information and the map information.
In the above steps, the data acquisition and data processing can be divided into two parts. The specific implementation mode is as follows:
firstly, a data acquisition part: the relevant data can be collected through a data collection platform in the vehicle network, for example, the vehicle-mounted terminal of the vehicle collects the running information of the current vehicle, and the running information of the current vehicle is sent to the data collection platform through the communication gateway. The running information of the vehicle at least includes a vehicle position, a running time, a vehicle unique number and CAN bus data. Wherein, the CAN bus data may include: information exchanged between the individual control units of the vehicle via the data line, such as the relevant real-time data of the vehicle.
V2X (vehicle network) enables communication between cars, cars and base stations, and base stations. A series of traffic information such as real-time road conditions, road information, pedestrian information and the like can be obtained through a road condition monitoring system to form V2X event data, and the V2X event data are sent to a data acquisition platform through a network. The V2X event data includes at least: real-time road conditions, road information, pedestrian information and other traffic information. For example, congestion information, traffic information, vehicle speed information, highway environment information, and the like. The road condition monitoring system may be provided on the vehicle or on the road side.
In one embodiment, the types of the driving information and the V2X event data of the vehicle may be: one or more of structured data, semi-structured data, or unstructured data.
In an embodiment, when collecting information through the data collection platform, the third-party data may be obtained through a crawler or by calling an external interface, and the third-party data may include: weather forecast data or map data, which may include travel route information of the vehicle. And can extract and integrate third party's data, deposit predetermined database according to the memory structure of data, the memory structure of data can be: one or more of sequential storage, chained storage, indexed storage, and hashed storage.
II, a data processing part:
the method comprises the following steps of firstly preprocessing acquired running information of a vehicle and V2X event data:
data analysis: and the data acquisition platform unpacks, decompresses and/or decrypts the received vehicle driving information and the V2X event data.
Checking: checking the information after unpacking, decompressing and/or decrypting, wherein the checking mode can be as follows: one or more of a cyclic redundancy check, a parity check, an exclusive or check, and a hamming code check.
Data conversion: and performing conversion processing on the data passing the verification.
Feature extraction: and performing feature extraction on the converted data according to the data type of the data. The data categories may be the model information of the vehicle collected and the specific information categories in the V2X event data, for example, according to the following characteristic tags: vehicle location, travel time, vehicle unique identification code, congestion information, traffic flow information, vehicle speed information, highway environment information, real-time status data (ignition, braking, deceleration, acceleration, etc.). And performing feature extraction on the converted data, and classifying the converted data into categories corresponding to the feature labels.
The step of performing standardization processing on the classified data comprises the following steps:
data deduplication: and carrying out deduplication processing on the classified data according to the data type, and only keeping one duplicated data.
Data normalization processing: and carrying out normalization processing on the data after the duplication removal, and carrying out normalization processing on multiple groups of data of the current vehicle according to the data types.
The normalized traveling information of the vehicle and the V2X event data are stored in the HFDS database (which is a file system for storing files) or the Cassandra database (which is a hybrid non-relational database system) to create a preset database. And the data in the database can be updated in real time according to the actual scene. The current running information and the current running route information of the running vehicle are acquired from an HFDS database or a Cassandra database.
Step 202: and generating control information for the driving terminal according to the current driving information and the current driving route information.
In this step, the current running state of the running terminal and the environmental information of the running terminal are obtained by analyzing and processing the current running information and the current running route information, and then adaptive control information is generated.
Step 203: and sending the control information to the driving terminal.
In this step, if it is determined through the analysis of step 202 that the current driving state of the driving terminal is not standardized or the environment where the driving terminal is located is not within the safety range, the corresponding control information is sent to the driving terminal so that the driving terminal can adaptively adjust the driving state of the driving terminal, and effective control over the driving terminal is achieved.
According to the information monitoring method, the control information of the driving terminal is generated according to the current driving information and the current driving route information of the driving terminal, and the control information is sent to the driving terminal, so that the driving terminal can adjust the driving state according to the control information. The automatic driving vehicle monitoring system realizes the omnibearing monitoring of the automatic driving vehicle.
Please refer to fig. 3, which is an information monitoring method according to an embodiment of the present application, and the method may be executed by the electronic device 1 shown in fig. 1, and may be applied to a scenario of an internet of vehicles, and implement generating control information for a driving terminal according to current driving information and current driving route information of the driving terminal, and sending the control information to the driving terminal, so that the driving terminal adjusts a driving state according to the control information. The method comprises the following steps:
step 301: and acquiring the current driving information and the current driving route information of the driving terminal from a preset database. See the description of step 201 in the above embodiments for details.
In one embodiment, the current driving information includes: the identification code of the driving terminal, the current speed and the current position. The current travel route information includes: navigation information of a current driving route.
The identification code is a unique number that marks the travel terminal, such as an identification code of a vehicle. The current driving route information may be obtained by the V2X event data. The current driving information may be obtained by Kafka (Kafka is a high throughput distributed publish-subscribe messaging system that handles all the action stream data of the consumer in the web site) instant messaging. The current position of the vehicle can be obtained by using GPS (Global Positioning System, abbreviated as "GPS") Positioning information. The vehicle unique number, the current speed of the vehicle and the current GPS positioning information are extracted from the received Kafka queue message. The navigation information may be obtained in conjunction with map information.
Step 302: and searching in the navigation information according to the identification code, and finding out the speed threshold range of the driving terminal corresponding to the identification code, which is allowed at the current position.
In this step, the target vehicle is determined according to the identification code, and the navigation information is searched according to the current position of the target vehicle, so as to obtain the speed threshold range allowed by the current position of the target vehicle, such as the allowed highest vehicle speed limit value.
Step 303: and judging whether the current speed is within the speed threshold range.
In this step, it is determined whether the current speed of the vehicle is within a speed threshold range, and if not, the process proceeds to step 304. Otherwise, the vehicle is indicated to be safely running at present, and the step 301 is returned to.
Step 304: speed adjustment information for the travel terminal is generated.
In this step, if the current speed is not within the speed threshold range, it indicates that the vehicle is running in violation currently, and there is a potential safety hazard that requires adjusting the running state, then corresponding control information is generated. For example, if the current speed of the vehicle is greater than the maximum vehicle speed limit value allowed by the current position of the vehicle, it is determined that the current vehicle is in an overspeed state, and overspeed warning information is generated.
Step 305: and sending the speed adjustment information to the driving terminal. The speed adjustment information is here the control information. The overspeed early warning information is packaged, and the overspeed early warning information is sent to the vehicle-mounted terminal corresponding to the identification code through the communication gateway according to the unique identification code of the vehicle. See the description of step 203 in the above embodiments for details.
Please refer to fig. 4, which is an information monitoring method according to an embodiment of the present application, and the method may be executed by the electronic device 1 shown in fig. 1, and may be applied to a scenario of an internet of vehicles to solve technical problems thereof, and implement generating control information for a driving terminal according to current driving information and current driving route information of the driving terminal, and sending the control information to the driving terminal, so that the driving terminal adjusts a driving state according to the control information. The method comprises the following steps:
step 401: and acquiring the current driving information and the current driving route information of the driving terminal from a preset database. See the description of step 201 in the above embodiments for details.
In one embodiment, the current driving information includes: the identification code of the driving terminal, the current time, the current speed and the current position. The current travel route information includes: navigation information and weather information of a current driving route. The weather information may be provided by the third party data: and obtaining weather forecast data. Likewise, the unique number of the vehicle, the current time, and the current position of the vehicle may be extracted from the received Kafka queue message.
Step 402: and searching the destination of the traveling terminal in the navigation information according to the identification code.
In this step, the target vehicle is first determined according to the identification code, and the driving direction and the destination of the target vehicle can be obtained according to the current time, the current position of the target vehicle, and the navigation route in the navigation information of the target vehicle.
Step 403: and calculating the arrival time of the driving terminal to the destination according to the current time, the current speed, the current position and the navigation information.
In this step, the time required for the target vehicle to reach the destination can be calculated by the current speed, the current position, the destination and the navigation information, and then the arrival time of the target vehicle to travel to the destination can be calculated according to the current time and the required time.
Step 404: and according to the weather information, estimating the weather condition information of the destination at the arrival time.
In this step, the weather information includes weather forecast information for all the locations of the target vehicle on its navigation route. According to the weather information, the weather condition information of the destination at the arrival time can be estimated.
Step 405: and when the weather condition information of the destination at the arrival time has the preset characteristics, generating weather early warning information aiming at the driving terminal.
In this step, some weather characteristics are preset, and the preset characteristics at least may include: one or more of a rain storm, a thunderstorm, a lightning, a fog, a snow and a gust. Comparing the weather condition information of the destination at the arrival time with preset characteristics, if the weather information of the vehicle at the arrival time has one or more of the preset characteristics, determining that the destination at the arrival time is severe weather, prompting the target vehicle to adjust the driving state adaptively, and generating weather early warning information for the target vehicle.
Step 406: and sending weather early warning information to the driving terminal.
In this step, the weather warning information is control information. And packaging the weather early warning information, and sending the weather early warning information to the vehicle-mounted terminal corresponding to the identification code through the communication gateway according to the unique identification code of the vehicle. For example, the weather warning information content may include: the weather information at the destination is bad, please be careful when arriving.
In one embodiment, the current driving route information includes: accident rate and accident damage degree information of the current driving route. The method further comprises the following steps: and judging whether the current driving route is in a preset safety level range or not according to the accident rate and the accident damage degree information. And if the current driving route is not in the preset safety level range, generating driving route adjusting information and sending the driving route adjusting information to the driving terminal.
In the above steps, the speed and the running time of the current vehicle, the historical accident frequency, the death number, the injury number and the direct economic loss of the current road can be obtained by the big data platform, and the safety level of the current road is determined. And when the safety level of the current road is determined to be a dangerous level, sending early warning information to the vehicle-mounted terminal through the network, prompting the dangerous road section of the current road section, and paying attention to careful driving.
In one embodiment, the method further comprises: and acquiring image data of a cockpit of the driving terminal. And identifying the image data to obtain the driving behavior of the driver. And judging whether the driving behavior is a preset irregular behavior. And if the driving behavior is the preset irregular behavior, generating driving behavior adjustment information and sending the driving behavior adjustment information to the driving terminal.
In the above steps, video data or image data of a driver of the vehicle-mounted terminal, which is acquired by the vehicle-mounted terminal, is acquired, behaviors of the driver in the video or image are identified based on a deep learning algorithm CNN (Convolutional Neural Networks, CNN for short), and then the identified driving behaviors are compared with preset irregular behaviors. The preset irregular behavior may include: using one or more of a cell phone, smoking, unbelted, and hands off the steering wheel. And if the analysis determines that the driver behavior belongs to one or more of the preset non-standard behaviors, determining that the current driving behavior is the non-standard driving behavior, sending early warning information to the vehicle-mounted terminal through the network to prompt the driver that the current driver behavior is not standard, and requiring adjustment of the current driving behavior.
In one embodiment, the vehicle online information, the vehicle running track, the vehicle driving mode and the vehicle fault information can be monitored in real time, and an operation monitoring report can be generated periodically.
In one embodiment, the vehicle is monitored in real time according to predetermined information such as the area, the location, the road section, the unique vehicle number, and the like. According to the collected data of the current vehicle running, the state information of the vehicle is monitored in real time, and the state information of the vehicle at least comprises: whether the vehicle runs or not, the running track of the vehicle, the running mode of the vehicle and the fault information of the vehicle are obtained, and then a vehicle real-time monitoring report is generated.
In one embodiment, a real-time monitoring report of the vehicle can be generated and displayed periodically according to the license plate number of the vehicle, the unique serial number of the vehicle, the type of the vehicle, the speed of the vehicle, the real-time position information and the current running time. Wherein the vehicle type may include at least: one or more of an internet connection vehicle, an intelligent vehicle and a taxi.
In an embodiment, the track of the whole driving route can be dynamically displayed on the map in real time according to the current driving time, the parking place, the driving route, the speed and the total number of kilometers of the current vehicle, so that a user can inquire the track in real time.
In one embodiment, whether the vehicle has a fault or not can be determined according to the real-time dynamic state of the current vehicle, fault information is sent to the vehicle-mounted terminal, real-time fault early warning is carried out, a real-time fault analysis report is generated, and the fault information is sent to the vehicle-mounted terminal in real time to remind a driver of the vehicle fault information.
In one embodiment, the vehicle driving mode may be determined according to the current mode information of the vehicle. And judging whether the mode can be used on the current road section, if the mode cannot be used on the current road section, generating a running mode monitoring report, and sending the running mode monitoring report to the vehicle-mounted terminal in real time to remind a driver of changing the vehicle running mode, wherein the vehicle running mode comprises automatic driving or manual driving.
Please refer to fig. 5, which is an information monitoring apparatus 500 according to an embodiment of the present application, and the apparatus is applicable to the electronic device 1 shown in fig. 1 and can be applied to a vehicle networking scenario to solve the technical problem, and implement that control information for a driving terminal is generated according to current driving information and current driving route information of the driving terminal, and the control information is sent to the driving terminal, so that the driving terminal adjusts a driving state according to the control information. The device includes: the first acquiring module 501, the first generating module 502 and the sending module 503 are in the following principle relationship:
the first obtaining module 501 is configured to obtain current driving information and current driving route information of a driving terminal from a preset database. For details, refer to the description of step 201 in the above embodiment.
A first generating module 502, configured to generate control information for the driving terminal according to the current driving information and the current driving route information. For details, see the description of step 202 in the above embodiment.
And a sending module 503, configured to send the control information to the driving terminal. For details, see the description of step 203 in the above embodiment.
In one embodiment, the current driving information includes: the identification code of the driving terminal, the current speed and the current position. The current travel route information includes: navigation information of a current driving route. And a first generating module 502 for: and searching in the navigation information according to the identification code, and finding out the speed threshold range of the driving terminal corresponding to the identification code, which is allowed at the current position. And judging whether the current speed is within the speed threshold range. And if the current speed is not within the speed threshold range, generating speed adjustment information for the running terminal. For details, refer to the descriptions of step 302 to step 304 in the above embodiments.
In one embodiment, the current driving information includes: the identification code of the driving terminal, the current time, the current speed and the current position. The current travel route information includes: navigation information and weather information of a current driving route. And a first generating module 502 for: and searching the destination of the traveling terminal in the navigation information according to the identification code. And calculating the arrival time of the driving terminal to the destination according to the current time, the current speed, the current position and the navigation information. And according to the weather information, estimating the weather condition information of the destination at the arrival time. And when the weather condition information of the destination at the arrival time has the preset characteristics, generating weather early warning information aiming at the driving terminal. For details, refer to the descriptions of step 402 to step 405 in the above embodiments.
In one embodiment, the current driving route information includes: accident rate and accident damage degree information of the current driving route. And the apparatus further comprises: and the first judgment module is used for judging whether the current driving route is within a preset safety level range according to the accident rate and the accident damage degree information. And the second generation module is used for generating the driving route adjustment information if the current driving route is not in the preset safety level range, and sending the driving route adjustment information to the driving terminal. For details, reference is made to the description of the relevant method steps in the above examples.
In one embodiment, the method further comprises: and the second acquisition module is used for acquiring the image data of the cockpit of the driving terminal. And the identification module is used for identifying the image data to obtain the driving behavior of the driver. And the second judgment module is used for judging whether the driving behavior is a preset irregular behavior. And the third generation module is used for generating driving behavior adjustment information if the driving behavior is a preset irregular behavior and sending the driving behavior adjustment information to the driving terminal. For details, reference is made to the description of the relevant method steps in the above examples.
In an embodiment, the system further includes a setup module configured to: the method comprises the steps of collecting driving data of a plurality of driving terminals and information of a plurality of driving routes. And carrying out data classification on the driving data and the information of the driving route to obtain classified data information. And carrying out normalization processing on the classified data information to obtain target driving data and target driving route information which accord with preset standards. And acquiring weather forecast information and map information corresponding to the target driving data and the target driving route information, and establishing a preset database according to the weather forecast information and the map information. For details, reference is made to the description of the relevant method steps in the above examples.
An embodiment of the present invention further provides a storage medium readable by an electronic device, including: a program that, when run on an electronic device, causes the electronic device to perform all or part of the procedures of the methods in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid-State Drive (SSD), or the like. The storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. An information monitoring method, comprising:
acquiring current driving information and current driving route information of a driving terminal from a preset database;
generating control information for the driving terminal according to the current driving information and the current driving route information;
and sending the control information to the driving terminal.
2. The method of claim 1, wherein the current driving information comprises: the identification code, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information of the current driving route; and
generating control information for the driving terminal according to the current driving information and the current driving route information, including:
searching in the navigation information according to the identification code, and finding out a speed threshold value range, which is allowed by the driving terminal at the current position and corresponds to the identification code;
judging whether the current speed is within the speed threshold range;
and if the current speed is not within the speed threshold range, generating speed adjustment information aiming at the running terminal.
3. The method of claim 1, wherein the current driving information comprises: the identification code, the current time, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information and weather information of the current driving route;
and the generating control information for the driving terminal according to the current driving information and the current driving route information includes:
searching the destination of the driving terminal in the navigation information according to the identification code;
calculating the arrival time of the traveling terminal traveling to the destination according to the current time, the current speed, the current position and the navigation information;
according to the weather information, predicting weather condition information of the destination at the arrival time;
and when the weather condition information of the destination at the arrival time has a preset characteristic, generating weather early warning information aiming at the driving terminal.
4. The method of claim 1, wherein the current travel route information comprises: accident rate and accident damage degree information of the current driving route; the method further comprises the following steps:
judging whether the current driving route is within a preset safety level range or not according to the accident rate and the accident damage degree information;
and if the current driving route is not in the preset safety level range, generating driving route adjusting information and sending the driving route adjusting information to the driving terminal.
5. The method of claim 1, further comprising:
acquiring image data of a cockpit of the driving terminal;
identifying the image data to obtain the driving behavior of the driver;
judging whether the driving behavior is a preset irregular behavior;
and if the driving behavior is a preset irregular behavior, generating driving behavior adjustment information, and sending the driving behavior adjustment information to the driving terminal.
6. The method of claim 1, wherein the step of building the predetermined database comprises:
collecting the driving data of a plurality of driving terminals and the information of a plurality of driving routes;
carrying out data classification on the driving data and the information of the driving route to obtain classified data information;
normalizing the classified data information to obtain target driving data and target driving route information which accord with a preset standard;
and acquiring weather forecast information and map information corresponding to the target driving data and the target driving route information, and establishing the preset database according to the weather forecast information and the map information.
7. An information monitoring device, comprising:
the first acquisition module is used for acquiring the current driving information and the current driving route information of the driving terminal from a preset database;
the first generation module is used for generating control information of the driving terminal according to the current driving information and the current driving route information;
and the sending module is used for sending the control information to the driving terminal.
8. The apparatus according to claim 7, wherein the current travel information includes: the identification code, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information of the current driving route;
and the first generating module is used for:
searching in the navigation information according to the identification code, and finding out a speed threshold value range, which is allowed by the driving terminal at the current position and corresponds to the identification code;
judging whether the current speed is within the speed threshold range;
and if the current speed is not within the speed threshold range, generating speed adjustment information aiming at the running terminal.
9. The apparatus according to claim 7, wherein the current travel information includes: the identification code, the current time, the current speed and the current position of the driving terminal; the current travel route information includes: navigation information and weather information of the current driving route;
and the first generating module is used for:
searching the destination of the driving terminal in the navigation information according to the identification code;
calculating the arrival time of the traveling terminal traveling to the destination according to the current time, the current speed, the current position and the navigation information;
according to the weather information, predicting weather condition information of the destination at the arrival time;
when the weather condition information of the destination at the arrival time has a preset characteristic, generating weather early warning information aiming at the driving terminal;
the current travel route information includes: accident rate and accident damage degree information of the current driving route; and the apparatus further comprises:
the first judgment module is used for judging whether the current driving route is within a preset safety level range according to the accident rate and the accident damage degree information;
the second generation module is used for generating driving route adjustment information if the current driving route is not within the preset safety level range, and sending the driving route adjustment information to the driving terminal; and further comprising:
the second acquisition module is used for acquiring the image data of the cockpit of the driving terminal;
the identification module is used for identifying the image data to obtain the driving behavior of the driver;
the second judgment module is used for judging whether the driving behavior is a preset irregular behavior;
the third generation module is used for generating driving behavior adjustment information if the driving behavior is a preset irregular behavior or not, and sending the driving behavior adjustment information to the driving terminal; and further comprising an establishing module for:
collecting the driving data of a plurality of driving terminals and the information of a plurality of driving routes;
carrying out data classification on the driving data and the information of the driving route to obtain classified data information;
normalizing the classified data information to obtain target driving data and target driving route information which accord with a preset standard;
and acquiring weather forecast information and map information corresponding to the target driving data and the target driving route information, and establishing the preset database according to the weather forecast information and the map information.
10. An electronic device, comprising:
a memory to store a computer program;
a processor configured to execute the method according to any one of claims 1 to 6, to generate control information for a driving terminal according to current driving information and current driving route information of the driving terminal, and to send the control information to the driving terminal, so that the driving terminal can adjust a driving state according to the control information.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111612140A (en) * | 2020-04-01 | 2020-09-01 | 广东中科臻恒信息技术有限公司 | Automatic driving safety discrimination method, equipment and storage medium based on road side unit |
| CN112036314A (en) * | 2020-08-31 | 2020-12-04 | 上海商汤临港智能科技有限公司 | Steering wheel hands-off detection method and device, electronic equipment and storage medium |
| CN112135244A (en) * | 2020-09-22 | 2020-12-25 | 广东新华乐育科技有限公司 | Terminal management and control method and device, computer equipment and readable storage medium |
| CN113156475A (en) * | 2021-04-30 | 2021-07-23 | 中国人民解放军66072部队 | Dynamic command monitoring method and device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105448118A (en) * | 2015-11-13 | 2016-03-30 | 淄博京科电气研究所 | Vehicle travelling guiding system based on internet of vehicles and method for guiding vehicle travelling |
| CN105575115A (en) * | 2015-12-17 | 2016-05-11 | 福建星海通信科技有限公司 | Driving behavior analysis method based on vehicle-mounted monitoring and management platform |
| CN105741595A (en) * | 2016-04-27 | 2016-07-06 | 常州加美科技有限公司 | Unmanned vehicle navigation driving method based on cloud database |
| CN105809953A (en) * | 2014-12-27 | 2016-07-27 | 吉林大学 | City traffic flow vehicle and road cooperative control method based on M2M |
| CN106530720A (en) * | 2016-12-28 | 2017-03-22 | 吉林大学 | Highway road traffic safety dark-spot road recognition and early-warning method |
| CN107421554A (en) * | 2017-06-28 | 2017-12-01 | 奇瑞汽车股份有限公司 | Guidance path determines method, apparatus, mobile unit and storage medium |
| CN107993001A (en) * | 2017-11-29 | 2018-05-04 | 华勤通讯技术有限公司 | A kind of method for visualizing of risk assessment, device and storage medium |
| CN109410622A (en) * | 2018-09-10 | 2019-03-01 | 贵州民族大学 | A kind of navigation system based on weather forecast |
-
2019
- 2019-10-29 CN CN201911035811.4A patent/CN110599791A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105809953A (en) * | 2014-12-27 | 2016-07-27 | 吉林大学 | City traffic flow vehicle and road cooperative control method based on M2M |
| CN105448118A (en) * | 2015-11-13 | 2016-03-30 | 淄博京科电气研究所 | Vehicle travelling guiding system based on internet of vehicles and method for guiding vehicle travelling |
| CN105575115A (en) * | 2015-12-17 | 2016-05-11 | 福建星海通信科技有限公司 | Driving behavior analysis method based on vehicle-mounted monitoring and management platform |
| CN105741595A (en) * | 2016-04-27 | 2016-07-06 | 常州加美科技有限公司 | Unmanned vehicle navigation driving method based on cloud database |
| CN106530720A (en) * | 2016-12-28 | 2017-03-22 | 吉林大学 | Highway road traffic safety dark-spot road recognition and early-warning method |
| CN107421554A (en) * | 2017-06-28 | 2017-12-01 | 奇瑞汽车股份有限公司 | Guidance path determines method, apparatus, mobile unit and storage medium |
| CN107993001A (en) * | 2017-11-29 | 2018-05-04 | 华勤通讯技术有限公司 | A kind of method for visualizing of risk assessment, device and storage medium |
| CN109410622A (en) * | 2018-09-10 | 2019-03-01 | 贵州民族大学 | A kind of navigation system based on weather forecast |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111612140A (en) * | 2020-04-01 | 2020-09-01 | 广东中科臻恒信息技术有限公司 | Automatic driving safety discrimination method, equipment and storage medium based on road side unit |
| CN111612140B (en) * | 2020-04-01 | 2023-08-25 | 广东中科臻恒信息技术有限公司 | Automatic driving safety judging method, equipment and storage medium based on road side unit |
| CN112036314A (en) * | 2020-08-31 | 2020-12-04 | 上海商汤临港智能科技有限公司 | Steering wheel hands-off detection method and device, electronic equipment and storage medium |
| WO2022041671A1 (en) * | 2020-08-31 | 2022-03-03 | 上海商汤临港智能科技有限公司 | Steering wheel hands-off detection method and apparatus, electronic device, and storage medium |
| CN112135244A (en) * | 2020-09-22 | 2020-12-25 | 广东新华乐育科技有限公司 | Terminal management and control method and device, computer equipment and readable storage medium |
| CN113156475A (en) * | 2021-04-30 | 2021-07-23 | 中国人民解放军66072部队 | Dynamic command monitoring method and device |
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