CN117275180B - Intelligent bus driving behavior warning system and method thereof - Google Patents
Intelligent bus driving behavior warning system and method thereof Download PDFInfo
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- CN117275180B CN117275180B CN202311248055.XA CN202311248055A CN117275180B CN 117275180 B CN117275180 B CN 117275180B CN 202311248055 A CN202311248055 A CN 202311248055A CN 117275180 B CN117275180 B CN 117275180B
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 160
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/48—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for in-vehicle communication
Abstract
The invention discloses an intelligent bus driving behavior warning system and a method thereof, wherein the system comprises the following steps: the system comprises a vehicle-mounted monitoring terminal, a data management module, an active safe driving module and a protocol gateway module, wherein the protocol gateway module is used for connecting the vehicle-mounted monitoring terminal, realizing data coding and decoding and transmission, acquiring driving states of a driver and data of driving states of a vehicle through the vehicle-mounted monitoring terminal, transmitting the data of the driving states of the driver and the vehicle to the data management module, processing the data of the driving states of the driver and the vehicle acquired by the monitoring terminal, synchronizing the data to a bus dispatching platform and comparing the data with basic information of the bus dispatching platform, and the active safe driving module is used for monitoring, safety monitoring and alarming the driving states of the driver and the driving states of the vehicle. The invention can pre-warn the potential risks existing in the driving process of the driver and the bus, provide accurate driving assistance for the driver, provide safety guarantee for passengers and provide efficient management means for the authorities.
Description
Technical Field
The invention relates to the technical field of bus driving pre-behavior management, in particular to an intelligent bus driving behavior warning system and method.
Background
With the increasing importance of public system safe driving in society, various measures are taken for bus drivers to safely drive, such as an independent cab is arranged at a driving position, and a protective safety door is arranged for the cab, so that driving safety hazards caused by the arguments of passengers and drivers are avoided in the driving process of the bus, the mode is currently a standard selection, but only passive protection is adopted for illegal actions of the passengers, the driving actions of the drivers cannot be defended in advance, and the driving actions of the bus can not be defended in advance by combining with the driving states of the vehicles, and certain hysteresis still exists in the aspect of safety, especially even illness or fatigue driving of the drivers, and also great driving safety risks can be brought, so that the driving safety problem needs to be solved from a root; the existing bus running protection measures are not comprehensive enough, physical protection and intelligent monitoring and braking protection can not be realized through the bus, intelligent comprehensive judgment can not be realized according to the behavior posture of a driver and the physical sign condition of the driver, and early warning can not be performed on the running state of the bus, so that the life safety of passengers is threatened.
Therefore, an intelligent bus driving behavior warning system and a method thereof are designed to solve the problems.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides an intelligent bus driving behavior warning system and a method thereof, wherein the warning system is used for active safety risk early warning prevention and control, analyzing and processing vehicle driving data acquired in real time by the warning system, providing accurate driving assistance for a driver, providing safety guarantee for passengers, providing an efficient management means for a main department, providing bus driving safety, avoiding traffic accidents, guaranteeing the safety of the passengers, and improving the management efficiency and means of the main department.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
an intelligent bus driving behavior warning system, the system is configured on a bus driving safety big data management platform, and the system sends warning to bus driving behavior by analyzing and processing real-time collected vehicle driving data, the system comprises:
the vehicle-mounted monitoring terminal is used for monitoring the driving state of a driver and the driving state of a bus;
the data management module is used for processing the data collected by the vehicle-mounted monitoring terminal, butting and synchronizing the bus dispatching platform and obtaining basic information of the bus dispatching platform;
the active safe driving module is used for carrying out safety monitoring and alarm treatment on the driving behavior of the bus according to the comparison between the data acquired by the vehicle-mounted monitoring terminal and the basic information of the bus dispatching platform acquired by the data management module;
the protocol gateway module is used for maintaining connection management of the vehicle-mounted monitoring terminal and encoding and decoding the data original message received by the vehicle-mounted monitoring terminal;
the protocol gateway module is used for connecting all equipment of the vehicle-mounted monitoring terminal, realizing data encoding and decoding and transmission among the modules, transmitting data of the driving state of the driver and the driving state of the vehicle acquired by the vehicle-mounted monitoring terminal to the data management module, processing the data of the driving state of the driver and the driving state of the vehicle acquired by the monitoring terminal, synchronizing to the bus dispatching platform and comparing with basic information of the bus dispatching platform, and carrying out monitoring safety monitoring and alarm treatment on the driving state of the driver and the driving state of the vehicle through the active safety driving module.
Further preferably, the bus driving safety big data management platform adopts a B/S architecture, and is divided into a protocol gateway service layer, a data analysis service layer and a system service layer, the vehicle-mounted monitoring terminal and the protocol gateway module are arranged on the protocol gateway service layer, the data management module is arranged on the data analysis service layer, the active safety driving module is arranged on the system service layer, data transmission between the protocol gateway service layer and the data analysis service layer is decoupled as a service through Kafka, redis is used as a data cache, and the protocol gateway module encodes and decodes data original messages received by the vehicle-mounted monitoring terminal into black box operation, so that the coupling between the protocol gateway service layer and the data analysis service layer can be decoupled no matter what protocol or connection session management is adopted.
Further preferably, the vehicle-mounted monitoring terminal comprises a vehicle positioning unit, a video monitoring unit, an identity recognition unit, a vehicle blind area monitoring unit, a vehicle state monitoring unit and a health monitoring unit, wherein the vehicle positioning unit is a vehicle positioner based on a GPS or Beidou positioning system, the vehicle positioning unit is installed below an instrument of a bus, the video monitoring unit is installed above a cockpit and used for monitoring the behavior and the gesture of a driver, the identity recognition unit is an opening device of a driving cabin door based on fingerprint recognition or face recognition and used for recognizing the identity information of the driver and opening the cabin door of the cockpit, the vehicle blind area monitoring unit comprises a vehicle-mounted camera and a vehicle-mounted radar, the vehicle blind area monitoring unit is respectively arranged at the front and the rear of the bus and used for monitoring the front and rear of the bus to assist the driver in safe driving, the vehicle state monitoring unit is arranged at the end of the vehicle and used for monitoring the driving speed and the path of the bus, and the health monitoring unit is a wearable body health monitoring terminal and is worn at the position of the driver and used for monitoring the body state index of the driver.
Further preferably, the data management module processes the acquired data of the vehicle-mounted monitoring terminal, including vehicle driving data and driving behavior and gesture data of a driver, and the data management module interfaces with and synchronizes the bus dispatching platform to acquire basic information of the bus dispatching platform, including line information, vehicle information, driver information, road list information and assessment information; the driving data of the vehicle comprises real-time positioning, driving track playback, real-time video, video polling and video playback of the vehicle, and the driving behavior and gesture data of the driver comprise fatigue driving, distraction driving, smoking, answering and calling, the driver is not in a driving position, both hands are simultaneously separated from a steering wheel, and one hand is separated from the vehicle and is not in violation of a safety belt; the road information is road name and station information of a driving way of a bus, the vehicle information comprises a vehicle type, a vehicle number plate, a vehicle driving mileage, a driving mileage and maintenance records, the driver information comprises a driver name, a job number, driving age, a telephone and a physical health state range value, the road information comprises a guideplate, a vehicle number, driver information, departure time and place and arrival time and place, the assessment information is assessment of early warning treatment of the driver, and the assessment information is used for carrying out summarization analysis on early warning information processing time rate and early warning processing rate data according to configuration assessment information, providing data support for the assessment and supporting multi-dimensional completion assessment of the driver in the operation process.
Further preferably, the active safe driving module compares the data acquired by the vehicle-mounted monitoring terminal with basic information of a bus dispatching platform acquired by the data management module, and carries out safe monitoring and alarm disposal on bus driving behaviors, wherein the safe monitoring comprises alarm monitoring, vehicle abnormality monitoring, event processing and false alarm interception, the alarm monitoring automatically pops up abnormal driving behavior data and various illegal evidences according to a safety risk level rule, and supports the marking of video or picture information of early warning type, early warning level, vehicle speed and alarm on the current online bus through a map mode, carries out early warning processing, suspicious spot analysis and false alarm revision, and the vehicle abnormality monitoring displays abnormal vehicle information discovered in the alarm disposal and latest abnormal record, thereby facilitating the post-sale personnel to process and solve the abnormal vehicle information; the event processing is used for processing the alarm by inquiring the alarm information and viewing the alarm picture video, supporting the operations of issuing voice reminding, neglecting, turning violations and turning processing, supporting grading processing and batch processing, and combining evidence to verify, remind, intervene and report the security alarm event by a manager; the false alarm interception support performs an interception and statistics function on false alarm early warning so as to improve early warning accuracy through multidimensional data training and analysis.
Further preferably, the active safe driving module compares the data acquired by the vehicle-mounted monitoring terminal with the basic information of the bus dispatching platform acquired by the data management module to perform safe monitoring and alarm disposal on the driving behavior of the bus, wherein the alarm disposal comprises alarm parameter configuration, alarm scheme issuing, safe portrait and alarm processing statistics and analysis; wherein,
the alarm parameter configuration provides functions of management of an alarm parameter scheme, alarm type control, alarm display level control and parameter setting, and is divided into advanced driving assistance, driver state detection and blind zone early warning, wherein the advanced driving assistance comprises front vehicle collision, vehicle distance approaching, lane departure, illegal lane changing, pedestrian collision, zebra stripes, traffic light identification and crossing overspeed, the driver state detection comprises fatigue driving, distraction driving, smoking, call receiving, driver is not in a driving position, hands are simultaneously separated from a steering wheel, one hand is separated from an unbelted safety belt, and the blind zone early warning has a person early warning risk through image or sound feedback;
the alarm scheme is issued to set different alarm parameter configuration schemes aiming at different lines, parameters of advanced driving assistance, driver state detection and blind area early warning are set, and the parameters are issued to a bus machine system of a bus of the line through a bus driving safety big data management platform to carry out constraint early warning on the bus driving safety;
the security portrayal displays day analysis data, week or month analysis data of a specified organization, a vehicle and a driver according to a query period, wherein the day analysis data comprises: travel data statistics, alert condition statistics, speed profile analysis, trajectory map, parking details, and information of alert condition details, the week or month analysis data including: information of running condition summarization, organization risk condition, mileage duration analysis and daily alarm analysis;
the alarm processing statistics and analysis are based on analysis data of security portraits, and statistics analysis is carried out on the indexes of the total quantity, processed, unprocessed, manual processing number and system processing number of the managed alarm conditions, the alarm processing rate is judged, and an alarm account is established.
An alarm method based on an intelligent bus driving behavior alarm system is characterized by comprising the following steps:
s101, presetting basic information of a bus dispatching platform, and inputting business information, line information, vehicle information, driver information, road list information and assessment information of a bus team organization into the basic information of the bus dispatching platform;
s102, configuring safety monitoring and alarm handling parameters, carrying out parameter configuration on basic information of a bus dispatching platform, and configuring and executing the safety monitoring and alarm handling parameters of the bus on the line and assessment information of a driver aiming at the line information, the vehicle information and the road list information which are executed differently;
s103, collecting monitoring data of a vehicle-mounted monitoring terminal, monitoring driving states, identity information and driving states of buses of a driver through the vehicle-mounted monitoring terminal, and collecting and processing vehicle driving data and driving behavior and posture data of the driver through a data management module;
s104, comparing the monitoring data of the collected vehicle-mounted monitoring terminal processed by the data management module with preset basic information of the bus dispatching platform by the active safe driving module, if the monitoring data exceeds the parameter range configured by the basic information, sending an early warning prompt to the bus driving safety big data management platform and the bus cab, sending an early warning scheme to the bus, and carrying out alarm treatment by a driver according to the issued early warning scheme;
s105, checking and portraying, namely checking early warning treatment of a driver based on an alarm treatment process, supporting the driver to check early warning information processing time rate and early warning processing rate data according to an issued early warning scheme, and summarizing analysis data according to days, weeks or months to carry out security portraying on an organization, a vehicle and the driver;
and S106, carrying out alarm statistics and analysis, and carrying out statistics analysis on the managed alarm condition total quantity, processed, unprocessed, manual processing number and system processing number indexes, judging the alarm processing rate condition and establishing an alarm account based on the analysis data of the security portrait.
Further preferably, in S101, the route information is a road name and station information of a bus, the vehicle information includes a vehicle type, a vehicle number plate, a vehicle driving mileage, a driving mileage and a maintenance record, the driver information includes a driver name, a job title, a driving age, a telephone and a physical health status range value, the road list information includes a guideplate, a vehicle number, driver information, a departure time and place and an arrival time and place, the assessment information is an assessment of early warning treatment of the driver, and the assessment information supports the summary analysis of early warning information treatment time rate and early warning treatment rate data according to a issued early warning scheme, provides data support for the assessment, and supports the assessment of the completion of multiple dimensions of the driver in the operation process;
in S102, configuring and executing the safety monitoring and alarm handling parameters of the bus on the line refers to formulating the safety monitoring and alarm handling parameters according to the line on which the bus is running, and if the behavior gesture of the driver or the driving state of the bus exceeds the formulated safety monitoring and alarm handling parameters, an alarm prompt is sent; the assessment information of the driver refers to whether the driver can timely and effectively process alarm prompts according to the issued early warning scheme, so that the potential safety hazards of driving of the bus are eliminated.
Further preferably, in S103, the driving state of the driver refers to whether the driver has fatigue driving, distraction driving, smoking, making a call, the driver is not in the driving position, both hands are simultaneously separated from the steering wheel, one hand is separated from the steering wheel, and the unbelted illegal action is not performed, the driver information includes the name, the job number, the driving age, the phone and the physical health state range value of the driver, whether the driving cabin door can be opened is verified by identity information, and whether the physical health state of the driver monitored by the wearable monitoring terminal supports the driver to safely perform the driving action; the driving state of the bus refers to whether the bus runs according to the line information, whether the bus is in collision with a front car, too close to a car distance, lane departure, illegal lane changing, pedestrian collision, saluting zebra stripes, red light running and overspeed at a crossing or not is judged according to advanced driving assistance and blind area early warning functions, and whether the blind area is in risk of people or not is judged through a feedback form of images or sounds.
Further preferably, in S104, the driver performs alarm treatment according to the issued warning scheme, including stopping the driving violation of the driver, driving the vehicle according to the route information, reducing the vehicle speed, keeping the safe distance between the vehicle and the front vehicle, stopping random lane change, keeping the lane running, giving the pedestrian a gift, passing through the intersection at a low speed, and avoiding the blind area.
Compared with the prior art, the invention has the beneficial effects that: the intelligent bus driving behavior warning system is based on an intelligent bus driving behavior warning system, analyzes and processes vehicle driving data acquired in real time by driving the bus and behavior state data of a driver, pre-warns the driver and potential risks existing in the driving process of the bus, and disposes and eliminates the risks in advance, so that the intelligent bus driving behavior warning system aims at providing accurate driving assistance for the driver, providing safety guarantee for passengers, avoiding traffic safety accidents and providing an efficient management means for authorities.
Drawings
FIG. 1 is a schematic diagram of an intelligent bus driving behavior warning system in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a relationship between each module of an intelligent bus driving behavior warning system and a bus driving safety big data management platform in an embodiment of the invention;
fig. 3 is a flowchart of a warning method of the intelligent bus driving behavior warning system in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
As shown in fig. 1, an intelligent bus driving behavior warning system is configured on a bus driving safety big data management platform, and is used for warning bus driving behavior by analyzing and processing real-time collected vehicle driving data, and comprises a vehicle-mounted monitoring terminal for monitoring driving states of a driver and driving states of a bus; the data management module is used for processing the data collected by the vehicle-mounted monitoring terminal, butting and synchronizing the bus dispatching platform and obtaining basic information of the bus dispatching platform; an active safe driving module for carrying out safe monitoring and alarm treatment on the driving behavior of the bus according to the comparison between the data acquired by the vehicle-mounted monitoring terminal and the basic information of the bus dispatching platform acquired by the data management module; and the protocol gateway module is used for maintaining connection management of the vehicle-mounted monitoring terminal and encoding and decoding the data original message received by the vehicle-mounted monitoring terminal.
When the system is operated, the protocol gateway module connects all the devices of the vehicle-mounted monitoring terminal, data encoding and decoding and transmission among the modules are realized, the data of the driving state of the driver and the driving state of the vehicle are collected by the vehicle-mounted monitoring terminal and transmitted to the data management module, the data of the driving state of the driver and the driving state of the vehicle are collected by the monitoring terminal and processed, and are synchronized to the bus dispatching platform and compared with basic information of the bus dispatching platform, and the driving state of the driver and the driving state of the vehicle are monitored, safely monitored and alarmed by the active safe driving module.
Specifically, as shown in fig. 2, the bus driving safety big data management platform adopts a B/S architecture, and is divided into a protocol gateway service layer, a data analysis service layer and a system service layer, a vehicle-mounted monitoring terminal and a protocol gateway module are arranged on the protocol gateway service layer, a data management module is arranged on the data analysis service layer, an active safety driving module is arranged on the system service layer, data transmission between the protocol gateway service layer and the data analysis service layer is decoupled by using Kafka as service, redis is used as data cache, the protocol gateway module encodes and decodes data original messages received by the vehicle-mounted monitoring terminal into black box operation, no matter what protocol or connection session management is adopted, the coupling between the protocol gateway service layer and the data analysis service layer can be decoupled, and thus, the same set of service logic is applicable to equipment with consistent default behaviors but different protocols.
The vehicle-mounted monitoring terminal comprises a vehicle positioning unit, a video monitoring unit, an identity recognition unit, a vehicle blind area monitoring unit, a vehicle state monitoring unit and a health monitoring unit, wherein the vehicle positioning unit is a vehicle positioner based on a GPS or Beidou positioning system, the vehicle positioning unit is installed below an instrument of a bus, the video monitoring unit is installed above a cockpit and used for monitoring the behavior and the gesture of a driver, the identity recognition unit is opening equipment of a driving cabin door based on fingerprint recognition or face recognition and used for recognizing identity information of the driver and opening the cabin door of the cockpit, the vehicle blind area monitoring unit comprises a vehicle-mounted camera and a vehicle-mounted radar, the vehicle blind area monitoring unit is respectively arranged at the front and the rear of the bus and used for monitoring the front and rear of the bus to assist the driver in driving safely, the vehicle state monitoring unit is arranged at the vehicle end and used for monitoring the driving speed and the path of the bus, and the health monitoring unit is a wearable health monitoring terminal and is worn at the wrist of the driver and used for monitoring the body state index of the driver.
The data management module processes the acquired data of the vehicle-mounted monitoring terminal, including vehicle driving data and driving behavior and gesture data of a driver, and the data management module is in butt joint with and synchronizes the bus dispatching platform to acquire basic information of the bus dispatching platform, including line information, vehicle information, driver information, road list information and assessment information; the driving data of the vehicle comprises real-time positioning, driving track playback, real-time video, video polling and video playback of the vehicle, and the driving behavior and gesture data of the driver comprise fatigue driving, distraction driving, smoking, answering and calling, the driver is not in a driving position, both hands are simultaneously separated from a steering wheel, and one hand is separated from the vehicle and is not in violation of a safety belt; the road information is road name and station information of a driving way of a bus, the vehicle information comprises a vehicle type, a vehicle number plate, a vehicle driving mileage, a driving mileage and maintenance records, the driver information comprises a driver name, a job title, a driving age, a telephone and a physical health state range value, the road list information comprises a guideboard, a vehicle number, driver information, a departure time and place and a reaching time and place, the assessment information is assessment of early warning treatment of the driver, the assessment information is supported to carry out summarization analysis on early warning information treatment time rate and early warning treatment rate data according to configuration assessment information, data support is provided for the assessment, and the assessment of the completion condition of the multiple dimensions of the driver in the operation process is supported.
The active safe driving module is used for carrying out safe monitoring and alarm disposal on the driving behavior of the bus according to the comparison of the data acquired by the vehicle-mounted monitoring terminal and the basic information of the bus dispatching platform acquired by the data management module, wherein the safe monitoring comprises alarm monitoring, vehicle abnormality monitoring, event processing and false alarm interception, the alarm monitoring automatically pops up abnormal driving behavior data and various illegal evidences according to the safety risk level rule, the current online bus is supported to carry out early warning type, early warning level, vehicle speed and the marks of video or picture information of the alarm through a map mode, the early warning processing, suspicious spot analysis and false alarm revision are carried out, and the abnormal vehicle information and the latest abnormal record found in the alarm disposal are displayed by the vehicle abnormality monitoring, so that the abnormal vehicle information is convenient to be processed and solved by personnel after operation and maintenance; the event processing is used for processing the alarm by inquiring the alarm information and viewing the alarm picture video, supporting the operations of issuing voice reminding, neglecting, turning violations and turning processing, supporting grading processing and batch processing, and combining evidence to verify, remind, intervene and report the security alarm event by a manager; the false alarm interception support performs an interception and statistics function on false alarm early warning so as to improve early warning accuracy through multidimensional data training and analysis.
The active safe driving module is used for carrying out safe monitoring and alarm disposal on the driving behavior of the bus according to the data acquired by the vehicle-mounted monitoring terminal and the basic information of the bus dispatching platform acquired by the data management module, wherein the alarm disposal comprises alarm parameter configuration, alarm scheme issuing, safe portrait and alarm processing statistics and analysis; wherein,
the alarm parameter configuration provides functions of management of an alarm parameter scheme, alarm type control, alarm display level control and parameter setting, and the alarm parameter configuration comprises advanced driving assistance, driver state detection and blind area early warning, wherein the advanced driving assistance comprises front vehicle collision, too close a vehicle distance, lane departure, illegal lane changing, pedestrian collision, zebra stripes, traffic light identification and crossing overspeed, the driver state detection comprises fatigue driving, distraction driving, smoking, call receiving, driver not in a driving position, both hands are simultaneously separated from a steering wheel, one hand is separated from the safety belt and the blind area early warning has a person early warning risk through images or sound feedback;
the alarm scheme is issued to set different alarm parameter configuration schemes aiming at different lines, parameters of advanced driving assistance, driver state detection and blind area early warning are set, and the parameters are issued to a bus machine system of a bus of the line through a bus driving safety big data management platform to carry out constraint early warning on the bus driving safety;
the security portrayal is based on a query cycle, and displays day analysis data, week or month analysis data of a specified organization, vehicle and driver, the day analysis data comprising: travel data statistics, alert condition statistics, speed profile analysis, trajectory map, parking details, and information of alert condition details, the week or month analysis data including: information of running condition summarization, organization risk condition, mileage duration analysis and daily alarm analysis;
the alarm processing statistics and analysis are based on the analysis data of the security portrait, and the statistics analysis is carried out on the indexes of the total quantity, processed, unprocessed, manual processing number and system processing number of the managed alarm conditions, the alarm processing rate is judged, and an alarm account is established.
As shown in fig. 3, as a further development of the embodiment, on the basis of the intelligent bus driving behavior warning system, a warning method of the intelligent bus driving behavior warning system is provided, and the warning method includes the following contents:
s101, presetting basic information of a bus dispatching platform, and inputting business information, line information, vehicle information, driver information, road list information and assessment information of a bus team organization into the basic information of the bus dispatching platform;
the road information is road name and station information of a driving way of a bus, the vehicle information comprises a vehicle type, a vehicle number plate, a vehicle driving mileage, a driving mileage and maintenance records, the driver information comprises a driver name, a job number, driving age, a telephone and a physical health state range value, the road information comprises a guideboard, a vehicle number, driver information, departure time and place and arrival time and place, the assessment information is assessment of early warning treatment of the driver, the assessment information is supported to summarize and analyze early warning information treatment time rate and early warning treatment rate data according to a issued early warning scheme, data support is provided for the assessment, and the assessment of the completion condition of multiple dimensions of the driver in the operation process is supported.
S102, configuring safety monitoring and alarm handling parameters, carrying out parameter configuration on basic information of a bus dispatching platform, and configuring and executing the safety monitoring and alarm handling parameters of the bus on the line and assessment information of a driver aiming at the line information, the vehicle information and the road list information which are executed differently;
configuring and executing the safety monitoring and alarming treatment parameters of the bus on the line, namely formulating the safety monitoring and alarming treatment parameters according to the line on which the bus is driven, and sending an alarming prompt if the behavior gesture of a driver or the driving state of the bus exceeds the formulated safety monitoring and alarming treatment parameters; the assessment information of the driver refers to whether the driver can timely and effectively process alarm prompts according to the issued early warning scheme, so that the potential safety hazards of driving of the bus are eliminated.
S103, monitoring data of a vehicle-mounted monitoring terminal are collected, driving states, identity information and driving states of a bus are monitored through the vehicle-mounted monitoring terminal, vehicle driving data and driving behavior and posture data of the driver are collected and processed through a data management module, the driving states of the driver refer to whether the driver has fatigue driving, distraction driving, smoking, answering a call, the driver is not in a driving position, hands are simultaneously separated from a steering wheel, one hand is separated from the steering wheel, and the illegal behavior of being unbelted by a safety belt is avoided, the driver information comprises the name, the number of the driver, the driving age, the telephone and the range value of the physical health state, whether a driving cabin door can be opened or not is verified through the identity information, and whether the physical health state of the driver monitored through a wearable monitoring terminal supports the driver to safely execute the driving behavior is detected, the wearable monitoring terminal in the embodiment can be a health bracelet, the health bracelet is worn on the wrist of the driver, and the health state of the driver is monitored in real time during the driving of the bus; the driving state of the bus refers to whether the bus runs according to the line information, whether the bus is in collision with a front car, too close to a car distance, lane departure, illegal lane changing, pedestrian collision, zebra stripes, red light running and overspeed crossing risks are judged according to advanced driving assistance and blind area early warning functions, and whether the blind area is in risk of people is judged through a feedback form of images or sounds.
S104, comparing the monitoring data of the collected vehicle-mounted monitoring terminal processed by the data management module with preset basic information of a bus dispatching platform by the active safety driving module, if the driver with non-self-service route information display of the driver is identified, the driving cabin door cannot be opened, if the monitoring data exceeds the parameter range configured by the basic information, an early warning prompt is sent to the bus driving safety big data management platform and the bus driving cab, an early warning scheme is sent to the bus, the driver carries out alarm treatment according to the issued early warning scheme, and the driver stops smoking and calls, returns to the driving position, and holds the steering wheel by two hands in time, and ties a safety belt according to the route information, reduces the vehicle speed, keeps a safe distance from the front vehicle, stops random lane changing and keeps to avoid driving, lets the pedestrian pass through a crossing and a blind zone at a low speed, actively assists the driver to improve the safety of the vehicle, and ensures the personal safety of the vehicle and passengers.
S105, checking and portraying, namely checking early warning treatment of the driver based on an alarm treatment process, supporting the driver to check early warning information processing time rate and early warning processing rate data according to an issued early warning scheme, and summarizing analysis data according to days, weeks or months to carry out security portraying on organizations, vehicles and drivers.
And S106, carrying out alarm statistics and analysis, carrying out statistical analysis on the managed alarm condition total quantity, processed, unprocessed, manual processing number and system processing number indexes based on the analysis data of the security portrait, judging the alarm processing rate condition, and establishing an alarm account for a main department to effectively manage the running route, the scheduling and the driving specification of a driver of the bus.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (7)
1. The intelligent bus driving behavior warning system is characterized in that the system is configured on a bus driving safety big data management platform, the bus driving safety big data management platform adopts a B/S architecture and is divided into a protocol gateway service layer, a data analysis service layer and a system service layer, the vehicle-mounted monitoring terminal and the protocol gateway module are arranged on the protocol gateway service layer, the data management module is arranged on the data analysis service layer, the active safety driving module is arranged on the system service layer, data transmission between the protocol gateway service layer and the data analysis service layer is decoupled by Kafka as service, redis is used as data cache, and the protocol gateway module encodes and decodes data original messages received by the vehicle-mounted monitoring terminal into black box operation, and can decouple the coupling between the protocol gateway service layer and the data analysis service layer no matter what protocol or connection session management is adopted;
the system comprises:
the vehicle-mounted monitoring terminal is used for monitoring the driving state of a driver and the driving state of a bus; the data management module is used for processing the data collected by the vehicle-mounted monitoring terminal, butting and synchronizing the bus dispatching platform and obtaining basic information of the bus dispatching platform;
the active safe driving module is used for carrying out safety monitoring and alarm treatment on the driving behavior of the bus according to the comparison between the data acquired by the vehicle-mounted monitoring terminal and the basic information of the bus dispatching platform acquired by the data management module;
the protocol gateway module is used for maintaining connection management of the vehicle-mounted monitoring terminal and encoding and decoding the data original message received by the vehicle-mounted monitoring terminal;
the protocol gateway module is used for connecting all the devices of the vehicle-mounted monitoring terminal, realizing data encoding and decoding and transmission among the modules, transmitting the data of the driving state of the driver and the driving state of the vehicle acquired by the vehicle-mounted monitoring terminal to the data management module, processing the data of the driving state of the driver and the driving state of the vehicle acquired by the monitoring terminal, synchronizing to the bus dispatching platform, comparing with basic information of the bus dispatching platform, and carrying out safety monitoring and alarm treatment on the driving state of the driver and the driving state of the vehicle through the active safety driving module;
the data management module processes the acquired data of the vehicle-mounted monitoring terminal, including vehicle driving data and driving behavior and gesture data of a driver, and the data management module is in butt joint with and synchronizes the bus dispatching platform to acquire basic information of the bus dispatching platform, including line information, vehicle information, driver information, road list information and assessment information; the driving data of the vehicle comprises real-time positioning, driving track playback, real-time video, video polling and video playback of the vehicle, and the driving behavior and gesture data of the driver comprise fatigue driving, distraction driving, smoking, answering and calling, the driver is not in a driving position, both hands are simultaneously separated from a steering wheel, and one hand is separated from the vehicle and is not in violation of a safety belt; the route information is road name and station information of a driving way of a bus, the vehicle information comprises a vehicle type, a vehicle number plate, a vehicle driving mileage, a driving mileage and maintenance records, the driver information comprises a driver name, a job title, driving age, a telephone and a physical health state range value, the road list information comprises a guideplate, a vehicle number, driver information, departure time and place and arrival time and place, the assessment information is assessment of early warning treatment of the driver, the assessment information is supported to carry out summarization analysis on early warning information processing time rate and early warning processing rate data according to configuration assessment information, data support is provided for the assessment, and the assessment of the completion condition of multiple dimensions of the driver in the operation process is supported;
the active safe driving module is used for carrying out safe monitoring and alarm disposal on the driving behavior of the bus according to the comparison of the data acquired by the vehicle-mounted monitoring terminal and the basic information of the bus dispatching platform acquired by the data management module, wherein the safe monitoring comprises alarm monitoring, vehicle abnormality monitoring, event processing and false alarm interception, the alarm monitoring automatically pops up abnormal driving behavior data and various illegal evidences according to the safety risk level rule, the current online bus is supported to carry out early warning type, early warning level, vehicle speed and the marking of video or picture information of the alarm through a map mode, the early warning processing, the suspicious spot analysis and the false alarm revision are carried out, and the abnormal vehicle information and the latest abnormal record found in the alarm disposal are displayed by the vehicle abnormality monitoring, so that after-sales personnel can conveniently handle and solve the abnormal vehicle information; the event processing is used for processing the alarm by inquiring the alarm information and viewing the alarm picture video, supporting the operations of issuing voice reminding, neglecting, turning violations and turning processing, supporting grading processing and batch processing, and combining evidence to verify, remind, intervene and report the security alarm event by a manager; the false alarm interception support performs an interception and statistics function on false alarm early warning so as to improve early warning accuracy through multidimensional data training and analysis.
2. The intelligent bus driving behavior warning system according to claim 1, wherein the vehicle-mounted monitoring terminal comprises a vehicle positioning unit, a video monitoring unit, an identity recognition unit, a vehicle blind area monitoring unit, a vehicle state monitoring unit and a health monitoring unit, wherein the vehicle positioning unit is a vehicle positioner based on a GPS or Beidou positioning system and is arranged below a meter of the bus, the video monitoring unit is arranged above a cockpit and is used for monitoring the behavior and the gesture of a driver, the identity recognition unit is an opening device of a driving cabin door based on fingerprint recognition or face recognition and is used for recognizing the identity information of the driver and opening the cabin door of the cockpit, the vehicle blind area monitoring unit comprises a vehicle-mounted camera and a vehicle-mounted radar, the vehicle blind area monitoring unit is respectively arranged in front of and behind a bus and is used for monitoring the front of and the rear of the bus and assisting the driver in driving safely, the vehicle state monitoring unit is arranged at the vehicle end and is used for monitoring the running speed and the path of the bus, and the health monitoring unit is a wearable body health monitoring terminal and is worn on the wrist of the driver and is used for monitoring the body state index of the driver.
3. The intelligent bus driving behavior warning system according to claim 1, wherein the active safety driving module is used for carrying out safety monitoring and alarm treatment on bus driving behavior according to the comparison of the data acquired by the vehicle-mounted monitoring terminal and the basic information of the bus dispatching platform acquired by the data management module, and the alarm treatment comprises alarm parameter configuration, alarm scheme issuing, safety portrait and alarm treatment statistics and analysis; wherein,
the alarm parameter configuration provides functions of management of an alarm parameter scheme, alarm type control, alarm display level control and parameter setting, and is divided into advanced driving assistance, driver state detection and blind zone early warning, wherein the advanced driving assistance comprises front vehicle collision, vehicle distance approaching, lane departure, illegal lane changing, pedestrian collision, zebra stripes, traffic light identification and crossing overspeed, the driver state detection comprises fatigue driving, distraction driving, smoking, call receiving, driver is not in a driving position, hands are simultaneously separated from a steering wheel, one hand is separated from an unbelted safety belt, and the blind zone early warning has a person early warning risk through image or sound feedback;
the alarm scheme is issued to set different alarm parameter configuration schemes aiming at different lines, parameters of advanced driving assistance, driver state detection and blind area early warning are set, and the parameters are issued to a bus machine system of a bus of the line through a bus driving safety big data management platform to carry out constraint early warning on the bus driving safety;
the security portrayal displays day analysis data, week or month analysis data of a specified organization, a vehicle and a driver according to a query period, wherein the day analysis data comprises: travel data statistics, alert condition statistics, speed profile analysis, trajectory map, parking details, and information of alert condition details, the week or month analysis data including: information of running condition summarization, organization risk condition, mileage duration analysis and daily alarm analysis;
the alarm processing statistics and analysis are based on analysis data of security portraits, and statistics analysis is carried out on the indexes of the total quantity, processed, unprocessed, manual processing number and system processing number of the managed alarm conditions, the alarm processing rate is judged, and an alarm account is established.
4. A warning method based on an intelligent bus driving behavior warning system according to any one of claims 1-3, characterized in that the warning method comprises the following steps:
s101, presetting basic information of a bus dispatching platform, and inputting business information, line information, vehicle information, driver information, road list information and assessment information of a bus team organization into the basic information of the bus dispatching platform;
s102, configuring safety monitoring and alarm handling parameters, carrying out parameter configuration on basic information of a bus dispatching platform, and configuring and executing the safety monitoring and alarm handling parameters of the bus on the line and assessment information of a driver aiming at the line information, the vehicle information and the road list information which are executed differently;
s103, collecting monitoring data of a vehicle-mounted monitoring terminal, monitoring driving states, identity information and driving states of buses of a driver through the vehicle-mounted monitoring terminal, and collecting and processing vehicle driving data and driving behavior and posture data of the driver through a data management module;
s104, comparing the monitoring data of the collected vehicle-mounted monitoring terminal processed by the data management module with preset basic information of the bus dispatching platform by the active safe driving module, if the monitoring data exceeds the parameter range configured by the basic information, sending an early warning prompt to the bus driving safety big data management platform and the bus cab, sending an early warning scheme to the bus, and carrying out alarm treatment by a driver according to the issued early warning scheme;
s105, checking and portraying, namely checking early warning treatment of a driver based on an alarm treatment process, supporting the driver to check early warning information processing time rate and early warning processing rate data according to an issued early warning scheme, and summarizing analysis data according to days, weeks or months to carry out security portraying on an organization, a vehicle and the driver;
and S106, carrying out alarm statistics and analysis, and carrying out statistics analysis on the managed alarm condition total quantity, processed, unprocessed, manual processing number and system processing number indexes, judging the alarm processing rate condition and establishing an alarm account based on the analysis data of the security portrait.
5. The warning method of an intelligent bus driving behavior warning system according to claim 4, wherein in S101, the route information is a driving route name and station information of a bus, the vehicle information includes a vehicle type, a vehicle number plate, a vehicle driving mileage, a driving mileage and a maintenance record, the driver information includes a driver name, a job number, a driving age, a telephone and a physical health status range value, the road list information includes a guideboard, a vehicle number, driver information, a departure time and place and a reaching time and place, the assessment information is an assessment of early warning treatment of a driver, and the assessment information supports summarizing analysis of early warning information treatment time rate and early warning treatment rate data according to a issued early warning scheme, provides data support for the assessment, and supports assessment of completion of multiple dimensions of the driver in a working process; in S102, configuring and executing the safety monitoring and alarm handling parameters of the bus on the line refers to formulating the safety monitoring and alarm handling parameters according to the line on which the bus is running, and if the behavior gesture of the driver or the driving state of the bus exceeds the formulated safety monitoring and alarm handling parameters, an alarm prompt is sent; the assessment information of the driver refers to whether the driver can timely and effectively process alarm prompts according to the issued early warning scheme, so that the potential safety hazards of driving of the bus are eliminated.
6. The warning method of the intelligent bus driving behavior warning system according to claim 4, wherein in S103, the driving state of the driver refers to whether the driver has fatigue driving, distraction driving, smoking, answering a call, the driver is not in the driving position, both hands are simultaneously separated from the steering wheel, one hand is separated from the steering wheel, and the unlawful behavior of the safety belt is not beled, the driver information includes the name, job number, driving age, phone number and physical health state range value of the driver, whether the driving cabin door can be opened is verified by identity information, and whether the physical health state of the driver monitored by the wearable monitoring terminal supports the driver to safely execute the driving behavior; the driving state of the bus refers to whether the bus runs according to the line information, whether the bus is in collision with a front car, too close to a car distance, lane departure, illegal lane changing, pedestrian collision, saluting zebra stripes, red light running and overspeed at a crossing or not is judged according to advanced driving assistance and blind area early warning functions, and whether the blind area is in risk of people or not is judged through a feedback form of images or sounds.
7. The warning method of claim 4, wherein in S104, the driver carries out warning treatment according to the issued warning scheme, including stopping driving violations of the driver, driving the vehicle according to the route information, reducing the speed and keeping a safe distance between the front vehicle, stopping random lane changing and keeping lane driving, giving pedestrians, passing through intersections at low speed, and avoiding blind areas.
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