CN111953789A - Voice recognition-based network car booking abnormal driving environment monitoring system and method - Google Patents
Voice recognition-based network car booking abnormal driving environment monitoring system and method Download PDFInfo
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
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Abstract
The invention discloses a system and a method for supervising abnormal driving environment of a network car booking based on voice recognition, which comprises a monitoring acquisition module, a health initial inspection module and an abnormal judgment module, wherein the health initial inspection module is used for initially inspecting personal information of a driver, health information of the driver and vehicle information; the monitoring and collecting module is used for monitoring and collecting the network car booking data and sending the network car booking data to the cloud platform, and the abnormity judging module is used for judging and analyzing whether the network car booking data has abnormal conditions or not.
Description
Technical Field
The invention belongs to the technical field of network car booking, relates to an abnormal driving environment technology, and particularly relates to a system and a method for supervising the abnormal driving environment of the network car booking based on voice recognition.
Background
The network taxi booking, namely the short name of the network taxi booking operation service, refers to the operation activities of booking taxi service for non-tour by establishing a service platform based on the internet technology, accessing vehicles and drivers meeting the conditions and integrating supply and demand information. In the aspect of constructing a diversified service system, taxis are divided into touring taxis and network reservation taxis, a special taxi is called a network reservation taxi for short, and special taxi identifications are sprayed and installed on the touring taxis. The method has the advantages that the integration development of the mobile internet and the taxies is promoted, the touring taxies are guided to provide the electric call reservation service, the internet taxi calling is established, and the internet taxi calling is priced according to the taxi types. The vehicle must be complete, the vehicle must have operation certificate, the driver must have the qualification of going on duty, but not allow to patrol, forbid the private car to join.
The existing network appointment vehicle only depends on app to realize an order function, and the behaviors of a driver and passengers are not effectively supervised, so that the phenomenon that the driver harasses the passengers and even harms the passengers or the phenomenon that the passengers kill the drivers can occur, so that how to scientifically manage the network appointment vehicle and supervising the behaviors of the driver and the passengers to ensure the personal safety of the driver and the passengers becomes a technical problem to be solved urgently at present; meanwhile, in the positive epidemic situation period, the body temperature and the movement track monitoring of the online car booking driver are not well supervised, and therefore a system and a method for supervising the abnormal driving environment of the online car booking based on voice recognition are provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a system and a method for supervising abnormal driving environment of a networked car appointment based on voice recognition.
The technical problem to be solved by the invention is as follows:
(1) the current online taxi appointment only depends on the app to realize the order function, the behaviors of a driver and passengers are not effectively supervised, and the phenomenon that the driver harasses the passengers and even harms the passengers or the phenomenon that the passengers harm the driver can occur;
(2) in the current epidemic situation period, the body temperature and the activity track of the net car booking driver are not well monitored, and the health condition of the net car booking driver cannot be well detected.
The purpose of the invention can be realized by the following technical scheme:
the network appointment abnormal driving environment monitoring system based on voice recognition comprises an evaluation module, an alarm sending module, a monitoring acquisition module, a positioning module, a passenger terminal, a driver terminal, a health preliminary examination module, an abnormal judgment module, a database and a server;
the driver terminal is used for registering and logging after a networked car booking driver submits personal information, health information and vehicle information, the personal information and the health information are sent to a database to be stored, the personal information comprises name, gender, age, real-name authentication mobile phone number, identification card number and driving age, the vehicle information comprises vehicle color, vehicle type and license plate number, and the driver terminal is used for receiving orders of networked car booking after logging successfully; the passenger terminal is used for ordering work of the network appointment vehicle;
health preliminary examination module is used for carrying out the preliminary examination to driver's personal information, driver's health information and vehicle information, and specific preliminary examination process is as follows:
s1: two body temperature safety levels were set: acquiring body temperatures TWi, i is 1, … … and 14 days before a taxi driver is dispatched to a taxi;
s2: traversing the body temperature of the network car booking driver in the front 14 days to obtain the maximum body temperature TWmax and the minimum body temperature TWmin, and setting a body temperature safety threshold TWy;
s3: if the TWmin is larger than TWy, the body temperature of the net car booking driver in the previous 14 days is judged to be in a dangerous level, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking;
if the TWmax is less than or equal to TWy, the body temperature of the net car booking driver in the first 14 days is judged to be in a no-danger level, the initial inspection is passed, and the next step is carried out;
s4: obtaining an activity area 14 days before a network car booking driver, and setting three area risk levels: high risk area, medium risk area, and low risk area;
s5: if any high-risk area exists in the activity area 14 days before the net car booking driver, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking;
if any high-risk area does not exist in the activity area 14 days before the taxi appointment driver, the initial inspection is passed, and the next step is carried out;
s6: personal information, health information and vehicle information of the vehicle booking driver passing the initial inspection are sent to the cloud platform;
the positioning module is used for sending the geographic positions of the driver terminal and the passenger terminal to the monitoring and collecting module; the evaluation module is used for evaluating the service of the online taxi appointment by the passenger terminal and sending an evaluation result to the cloud platform; the monitoring and collecting module is used for monitoring and collecting the online car booking data, and sending the online car booking data to the cloud platform, wherein the online car booking data comprises a driving environment, in-car voice information and in-car video information;
the alarm sending module is used for sending an alarm signal when the network car appointment is abnormal; the abnormity judgment module is used for judging whether abnormal conditions exist in the analysis network car booking data, and the specific judgment and analysis process is as follows:
SS 1: acquiring an area where a network appointment car is located, and acquiring 24-hour weather forecast data of the area on the same day so as to acquire rainfall values Jyo at corresponding time, wherein o is 1, … … and 24;
SS 2: acquiring the current operation time Tn of the network taxi appointment, and matching the current operation time Tn with the rainfall value Jyo of the corresponding time, so as to acquire the rainfall value Jyn of the area of the current operation time;
SS 3: acquiring the road section traffic flow CL and the road section visibility NJ of the area;
SS 4: and calculating to obtain the severe environment value He of the area where the network appointment vehicle is located by using a formula after dequantization treatment, wherein the specific formula is as follows:
SS 5: if the environment severe value Hg exceeds a set environment severe threshold value, generating an abnormal signal and sending the abnormal signal to the cloud platform;
if the environment severe value Hg does not exceed the set environment severe threshold, entering the next step;
SS 6: acquiring voice information k of a driver terminal and a passenger terminal, wherein k is 1, … … and n, and acquiring a sensitive word group Mkg in the voice information, and g is 1, … … and n;
SS 7: forming an array by using the sensitive phrases M11, M12 … … and Mnn, and comparing and matching the sensitive phrases in the array with preset sensitive phrases in a database one by one;
SS 8: when the sensitive word group in the array is successfully matched with the preset sensitive word group, generating an abnormal signal and sending the abnormal signal to the cloud platform;
SS 9: the cloud platform generates a control instruction after receiving the abnormal signal and loads the control instruction to the alarm sending module, and the alarm sending module receives the instruction to send the alarm signal.
Furthermore, the positioning module is further used for sending monitoring acquisition signals to the monitoring acquisition module when the geographic positions of the driver terminal and the passenger terminal coincide, the monitoring acquisition module starts working when receiving the monitoring acquisition signals, and the detection equipment of the road section visibility is specifically one or more of a road section visibility detector, a visibility observation instrument and a visibility weather phenomenon instrument.
Further, the system further comprises a face recognition module, wherein the face recognition module is used for inputting face information of the passenger terminal and sending the face information to the cloud platform.
The method for supervising the abnormal driving environment of the online car booking based on the voice recognition specifically comprises the following steps:
the method comprises the following steps: the online car booking driver submits personal information, health information and vehicle information through a driver terminal and registers, and the health initial inspection module performs initial inspection on the personal information, the health information and the vehicle information of the online car booking;
step two: obtaining a body temperature safety level and an area risk level of a net car booking driver by obtaining the body temperature and the activity area of the net car booking driver in the previous 14 days, wherein if the minimum body temperature value in the previous 14 days is more than or equal to a body temperature safety threshold value and any high risk area exists in the activity area of the net car booking driver in the previous 14 days, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking; if the maximum body temperature value in the first 14 days is less than or equal to the body temperature safety threshold value and any high-risk area does not exist in the activity area of the network car booking driver in the first 14 days, the initial inspection is passed, the personal information, the health information and the vehicle information of the network car booking driver which is passed by the initial inspection are sent to the cloud platform, the network car booking driver successfully logs in a driver terminal and then carries out on-line order receiving work of the network car booking, and the passenger terminal carries out order placing work of the network car booking through the passenger terminal;
step three: the positioning module positions the geographic positions of a driver terminal and a passenger terminal in real time, when the positions of the driver terminal and the passenger terminal are coincident, the monitoring acquisition module starts to supervise and acquire the online car booking data and sends the online car booking data to the cloud platform, the abnormity judgment module judges and analyzes whether the online car booking data has abnormal conditions or not, the rainfall value of the region, the traffic flow of a region road section and the visibility of the road section are acquired through the geographic position of the online car booking, so that the environment severe value of the region where the online car is located is calculated, when the environment severe value exceeds a set environment severe threshold value, an abnormal signal is generated and sent to the cloud platform, when the environment severe value does not exceed the set environment severe threshold value, the voice information of the driver terminal and the sensitive phrase in the voice information of the passenger terminal are further acquired, the sensitive phrase is compared and matched with a preset sensitive phrase in a database, and when the sensitive phrase in the group is successfully matched with, generating an abnormal signal and sending the abnormal signal to the cloud platform;
step four: when the abnormal signal is received by the cloud platform, a control instruction is generated and loaded to the alarm sending module, the alarm sending module receives the instruction to send the alarm signal, and when the abnormal condition does not exist in the network car booking, the passenger terminal evaluates the service of the network car booking through the evaluation module and sends the evaluation result to the cloud platform after the passenger gets off the car.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention discloses a network car booking driver which performs initial detection on personal information, health information and vehicle information of the network car booking through a health initial detection module, obtains the body temperature and activity area of the network car booking driver in the previous 14 days, analyzes and obtains the body temperature safety level and the area risk level of the network car booking driver, if the minimum body temperature value in the previous 14 days is more than or equal to the body temperature safety threshold value and any high risk area exists in the activity area of the network car booking driver in the previous 14 days, the initial detection is not passed, the network car booking driver is not allowed to drive the network car booking, if the maximum body temperature value in the previous 14 days is less than or equal to the body temperature safety threshold value and any high risk area does not exist in the activity area of the network car booking driver in the previous 14 days, the initial detection is passed, the personal information, the health information and the vehicle information of the network car booking driver which is passed through the initial detection are sent to a cloud platform, the network car booking driver successfully logs in the online, the passenger terminal carries out ordering work of the networked car reservation through the passenger terminal, the design preliminarily monitors and detects the health condition of the networked car reservation driver, realizes the detection and the supervision of the body temperature and the activity track of the networked car reservation driver, is favorable for the prevention and the control of epidemic situations, and avoids the hidden danger of virus infection;
2. the invention positions the geographic positions of a driver terminal and a passenger terminal in real time through a positioning module, when the two positions are coincident, a monitoring acquisition module starts to supervise and acquire network car booking data and sends the network car booking data to a cloud platform, an abnormity judgment module judges and analyzes whether the network car booking data has abnormal conditions or not, the rainfall value of the area, the traffic flow of the road section of the area and the visibility of the road section are acquired through the geographic position of the network car booking, so that the environment severe value of the area where the network car is located is calculated, when the environment severe value exceeds a set environment severe threshold value, an abnormal signal is generated and sent to the cloud platform, when the environment severe value does not exceed the set environment severe threshold value, the voice information of the driver terminal and the passenger terminal and sensitive phrases in the voice information are further acquired, and the sensitive phrases are matched with preset sensitive phrases in a database, when the sensitive phrases in the array are successfully matched with the preset sensitive phrases, abnormal signals are generated and sent to the cloud platform, after the cloud platform receives the abnormal signals, control instructions are generated and loaded to the alarm sending module, the alarm sending module receives the instructions to send the alarm signals, when the net appointment does not have abnormal conditions, after a passenger gets off, the passenger terminal evaluates the service of the net appointment through the evaluation module and sends the evaluation result to the cloud platform, the behaviors of drivers and passengers of the designed net appointment are effectively supervised, the phenomenon that the drivers disturb the passengers or even the passengers are damaged or the passengers harm the drivers is avoided, meanwhile, the driving environment of the net appointment is supervised, the net appointment is prevented from driving in severe weather, the driving safety is improved, and traffic accidents are avoided.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the network appointment abnormal driving environment monitoring system based on voice recognition comprises an evaluation module, an alarm sending module, a monitoring and collecting module, a positioning module, a passenger terminal, a driver terminal, a health initial inspection module, an abnormal judgment module, a database and a server;
the driver terminal is used for registering and logging after a networked car booking driver submits personal information, health information and vehicle information, the personal information and the health information are sent to a database to be stored, the personal information comprises name, gender, age, real-name authentication mobile phone number, identification card number and driving age, the vehicle information comprises vehicle color, vehicle type and license plate number, and the driver terminal is used for receiving orders of networked car booking after logging successfully; the passenger terminal is used for ordering work of the network appointment vehicle;
health preliminary examination module is used for carrying out the preliminary examination to driver's personal information, driver's health information and vehicle information, and specific preliminary examination process is as follows:
s1: two body temperature safety levels were set: acquiring body temperatures TWi, i is 1, … … and 14 days before a taxi driver is dispatched to a taxi;
s2: traversing the body temperature of the network car booking driver in the front 14 days to obtain the maximum body temperature TWmax and the minimum body temperature TWmin, and setting a body temperature safety threshold TWy;
s3: if the TWmin is larger than TWy, the body temperature of the net car booking driver in the previous 14 days is judged to be in a dangerous level, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking;
if the TWmax is less than or equal to TWy, the body temperature of the net car booking driver in the first 14 days is judged to be in a no-danger level, the initial inspection is passed, and the next step is carried out;
s4: obtaining an activity area 14 days before a network car booking driver, and setting three area risk levels: high risk area, medium risk area, and low risk area;
s5: if any high-risk area exists in the activity area 14 days before the net car booking driver, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking;
if any high-risk area does not exist in the activity area 14 days before the taxi appointment driver, the initial inspection is passed, and the next step is carried out;
s6: personal information, health information and vehicle information of the vehicle booking driver passing the initial inspection are sent to the cloud platform;
the positioning module is used for sending the geographic positions of the driver terminal and the passenger terminal to the monitoring and collecting module; the evaluation module is used for evaluating the service of the online taxi appointment by the passenger terminal and sending an evaluation result to the cloud platform; the monitoring and collecting module is used for monitoring and collecting the online car booking data, and sending the online car booking data to the cloud platform, wherein the online car booking data comprises a driving environment, in-car voice information and in-car video information;
the alarm sending module is used for sending an alarm signal when the network car appointment is abnormal; the abnormity judgment module is used for judging whether abnormal conditions exist in the analysis network car booking data, and the specific judgment and analysis process is as follows:
SS 1: acquiring an area where a network appointment car is located, and acquiring 24-hour weather forecast data of the area on the same day so as to acquire rainfall values Jyo at corresponding time, wherein o is 1, … … and 24;
SS 2: acquiring the current operation time Tn of the network taxi appointment, and matching the current operation time Tn with the rainfall value Jyo of the corresponding time, so as to acquire the rainfall value Jyn of the area of the current operation time;
SS 3: acquiring the road section traffic flow CL and the road section visibility NJ of the area;
SS 4: and calculating to obtain the severe environment value He of the area where the network appointment vehicle is located by using a formula after dequantization treatment, wherein the specific formula is as follows:
SS 5: if the environment severe value Hg exceeds a set environment severe threshold value, generating an abnormal signal and sending the abnormal signal to the cloud platform;
if the environment severe value Hg does not exceed the set environment severe threshold, entering the next step;
SS 6: acquiring voice information k of a driver terminal and a passenger terminal, wherein k is 1, … … and n, and acquiring a sensitive word group Mkg in the voice information, and g is 1, … … and n;
SS 7: forming an array by using the sensitive phrases M11, M12 … … and Mnn, and comparing and matching the sensitive phrases in the array with preset sensitive phrases in a database one by one;
SS 8: when the sensitive word group in the array is successfully matched with the preset sensitive word group, generating an abnormal signal and sending the abnormal signal to the cloud platform;
SS 9: the cloud platform generates a control instruction after receiving the abnormal signal and loads the control instruction to the alarm sending module, and the alarm sending module receives the instruction to send the alarm signal.
The positioning module is further used for sending monitoring acquisition signals to the monitoring acquisition module when the driver terminal and the passenger terminal are coincided in geographic positions, the monitoring acquisition module starts working when receiving the monitoring acquisition signals, and the detection equipment of the road section visibility is specifically one or more of a road section visibility detector, a visibility observation instrument and a visibility weather phenomenon instrument.
The system further comprises a face recognition module, wherein the face recognition module is used for inputting face information of the passenger terminal and sending the face information to the cloud platform.
The system further comprises a tracking distribution module, wherein the tracking distribution module is used for screening recommended maintenance personnel, and the specific process is as follows:
p1: when the network appointment vehicle is abnormal, acquiring the real-time geographic position of the network appointment vehicle, establishing a two-dimensional coordinate system by taking the position of the network appointment vehicle as an original point, and dividing a designated range by a radius R;
p2: acquiring alarm points CJv of real-time geographic positions of the networked taxi appointment, wherein v is 1, … … and n, calculating the distance JLv between each alarm point CJv and the networked taxi appointment by using a formula, screening the alarm points of which the distances JLv are smaller than the radius R, and marking the alarm points as alarm points to be selected CJe, wherein e is 1, … … and n;
p2: acquiring an alarm rate CJes, an alarm processing efficiency CJex and an alarm amount CJl of an alarm point CJe to be selected;
p3: after dequantization processing, calculating by using a formula to obtain an alarm recommended value TJcj of the person to be selected, wherein the specific formula is as follows:
p5: acquiring a to-be-selected alarm point with the maximum alarm recommendation value TJcj, classifying the to-be-selected alarm point as a currently-selected alarm point, and increasing the alarm output of the alarm point once;
p6: and the tracking distribution module immediately sends the alarm signal to the selected alarm point, and the selected alarm point goes to the destination for checking according to the real-time geographic position of the online taxi appointment.
The method for supervising the abnormal driving environment of the online car booking based on the voice recognition specifically comprises the following steps:
the method comprises the following steps: the online car booking driver submits personal information, health information and vehicle information through a driver terminal and registers, and the health initial inspection module performs initial inspection on the personal information, the health information and the vehicle information of the online car booking;
step two: obtaining a body temperature safety level and an area risk level of a net car booking driver by obtaining the body temperature and the activity area of the net car booking driver in the previous 14 days, wherein if the minimum body temperature value in the previous 14 days is more than or equal to a body temperature safety threshold value and any high risk area exists in the activity area of the net car booking driver in the previous 14 days, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking; if the maximum body temperature value in the first 14 days is less than or equal to the body temperature safety threshold value and any high-risk area does not exist in the activity area of the network car booking driver in the first 14 days, the initial inspection is passed, the personal information, the health information and the vehicle information of the network car booking driver which is passed by the initial inspection are sent to the cloud platform, the network car booking driver successfully logs in a driver terminal and then carries out on-line order receiving work of the network car booking, and the passenger terminal carries out order placing work of the network car booking through the passenger terminal;
step three: the positioning module positions the geographic positions of a driver terminal and a passenger terminal in real time, when the positions of the driver terminal and the passenger terminal are coincident, the monitoring acquisition module starts to supervise and acquire the online car booking data and sends the online car booking data to the cloud platform, the abnormity judgment module judges and analyzes whether the online car booking data has abnormal conditions or not, the rainfall value of the region, the traffic flow of a region road section and the visibility of the road section are acquired through the geographic position of the online car booking, so that the environment severe value of the region where the online car is located is calculated, when the environment severe value exceeds a set environment severe threshold value, an abnormal signal is generated and sent to the cloud platform, when the environment severe value does not exceed the set environment severe threshold value, the voice information of the driver terminal and the sensitive phrase in the voice information of the passenger terminal are further acquired, the sensitive phrase is compared and matched with a preset sensitive phrase in a database, and when the sensitive phrase in the group is successfully matched with, generating an abnormal signal and sending the abnormal signal to the cloud platform;
step four: when the abnormal signal is received by the cloud platform, a control instruction is generated and loaded to the alarm sending module, the alarm sending module receives the instruction to send the alarm signal, and when the abnormal condition does not exist in the network car booking, the passenger terminal evaluates the service of the network car booking through the evaluation module and sends the evaluation result to the cloud platform after the passenger gets off the car.
The working principle is as follows: the online car booking driver submits personal information, health information and vehicle information through a driver terminal and registers, and the health initial inspection module performs initial inspection on the personal information, the health information and the vehicle information of the online car booking;
obtaining a body temperature safety level and an area risk level of a net car booking driver by obtaining the body temperature and the activity area of the net car booking driver in the previous 14 days, wherein if the minimum body temperature value in the previous 14 days is more than or equal to a body temperature safety threshold value and any high risk area exists in the activity area of the net car booking driver in the previous 14 days, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking; if the maximum body temperature value in the first 14 days is less than or equal to the body temperature safety threshold value and any high-risk area does not exist in the activity area of the network car booking driver in the first 14 days, the initial inspection is passed, the personal information, the health information and the vehicle information of the network car booking driver which is passed by the initial inspection are sent to the cloud platform, the network car booking driver successfully logs in a driver terminal and then carries out the order receiving work of the network car booking on line, and the passenger terminal carries out the order placing work of the network car booking through the passenger terminal;
the positioning module positions the geographic positions of a driver terminal and a passenger terminal in real time, when the positions of the driver terminal and the passenger terminal are coincident, the monitoring acquisition module starts to supervise and acquire the online car booking data and sends the online car booking data to the cloud platform, the abnormity judgment module judges and analyzes whether the online car booking data has abnormal conditions or not, the rainfall value of the region, the traffic flow of a region road section and the visibility of the road section are acquired through the geographic position of the online car booking, so that the environment severe value of the region where the online car is located is calculated, when the environment severe value exceeds a set environment severe threshold value, an abnormal signal is generated and sent to the cloud platform, when the environment severe value does not exceed the set environment severe threshold value, the voice information of the driver terminal and the sensitive phrase in the voice information of the passenger terminal are further acquired, the sensitive phrase is compared and matched with a preset sensitive phrase in a database, and when the sensitive phrase in the group is successfully matched with, the abnormal signals are generated and sent to the cloud platform, when the cloud platform receives the abnormal signals, control instructions are generated and loaded to the alarm sending module, the alarm sending module receives the instructions to send the alarm signals, when abnormal conditions do not exist in the network car booking, passengers get off the car, the passenger terminals evaluate the service of the network car booking through the evaluation module, evaluation results are sent to the cloud platform, the behaviors of drivers and passengers of the designed network car booking are effectively supervised, the phenomenon that the drivers disturb the passengers or even the passengers are damaged or the phenomenon that the passengers damage the drivers is avoided, meanwhile, the driving environment of the network car booking is supervised, the network car booking is prevented from driving in severe weather, the driving safety is improved, and traffic accidents are avoided.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. The network appointment abnormal driving environment monitoring system based on voice recognition is characterized by comprising an evaluation module, an alarm sending module, a monitoring and collecting module, a positioning module, a passenger terminal, a driver terminal, a health preliminary examination module, an abnormal judgment module, a database and a server;
the driver terminal is used for registering and logging after a networked car booking driver submits personal information, health information and vehicle information, the personal information and the health information are sent to a database to be stored, the personal information comprises name, gender, age, real-name authentication mobile phone number, identification card number and driving age, the vehicle information comprises vehicle color, vehicle type and license plate number, and the driver terminal is used for receiving orders of networked car booking after logging successfully; the passenger terminal is used for ordering work of the network appointment vehicle;
health preliminary examination module is used for carrying out the preliminary examination to driver's personal information, driver's health information and vehicle information, and specific preliminary examination process is as follows:
s1: two body temperature safety levels were set: acquiring body temperatures TWi, i is 1, … … and 14 days before a taxi driver is dispatched to a taxi;
s2: traversing the body temperature of the network car booking driver in the front 14 days to obtain the maximum body temperature TWmax and the minimum body temperature TWmin, and setting a body temperature safety threshold TWy;
s3: if the TWmin is larger than TWy, the body temperature of the net car booking driver in the previous 14 days is judged to be in a dangerous level, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking;
if the TWmax is less than or equal to TWy, the body temperature of the net car booking driver in the first 14 days is judged to be in a no-danger level, the initial inspection is passed, and the next step is carried out;
s4: obtaining an activity area 14 days before a network car booking driver, and setting three area risk levels: high risk area, medium risk area, and low risk area;
s5: if any high-risk area exists in the activity area 14 days before the net car booking driver, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking;
if any high-risk area does not exist in the activity area 14 days before the taxi appointment driver, the initial inspection is passed, and the next step is carried out;
s6: personal information, health information and vehicle information of the vehicle booking driver passing the initial inspection are sent to the cloud platform;
the positioning module is used for sending the geographic positions of the driver terminal and the passenger terminal to the monitoring and collecting module; the evaluation module is used for evaluating the service of the online taxi appointment by the passenger terminal and sending an evaluation result to the cloud platform; the monitoring and collecting module is used for monitoring and collecting the online car booking data, and sending the online car booking data to the cloud platform, wherein the online car booking data comprises a driving environment, in-car voice information and in-car video information;
the alarm sending module is used for sending an alarm signal when the network car appointment is abnormal; the abnormity judgment module is used for judging whether abnormal conditions exist in the analysis network car booking data, and the specific judgment and analysis process is as follows:
SS 1: acquiring an area where a network appointment car is located, and acquiring 24-hour weather forecast data of the area on the same day so as to acquire rainfall values Jyo at corresponding time, wherein o is 1, … … and 24;
SS 2: acquiring the current operation time Tn of the network taxi appointment, and matching the current operation time Tn with the rainfall value Jyo of the corresponding time, so as to acquire the rainfall value Jyn of the area of the current operation time;
SS 3: acquiring the road section traffic flow CL and the road section visibility NJ of the area;
SS 4: and calculating to obtain the severe environment value He of the area where the network appointment vehicle is located by using a formula after dequantization treatment, wherein the specific formula is as follows:
SS 5: if the environment severe value Hg exceeds a set environment severe threshold value, generating an abnormal signal and sending the abnormal signal to the cloud platform;
if the environment severe value Hg does not exceed the set environment severe threshold, entering the next step;
SS 6: acquiring voice information k of a driver terminal and a passenger terminal, wherein k is 1, … … and n, and acquiring a sensitive word group Mkg in the voice information, and g is 1, … … and n;
SS 7: forming an array by using the sensitive phrases M11, M12 … … and Mnn, and comparing and matching the sensitive phrases in the array with preset sensitive phrases in a database one by one;
SS 8: when the sensitive word group in the array is successfully matched with the preset sensitive word group, generating an abnormal signal and sending the abnormal signal to the cloud platform;
SS 9: the cloud platform generates a control instruction after receiving the abnormal signal and loads the control instruction to the alarm sending module, and the alarm sending module receives the instruction to send the alarm signal.
2. The system as claimed in claim 1, wherein the positioning module is further configured to send a monitoring and collecting signal to the monitoring and collecting module when the driver terminal and the passenger terminal are in geographic position coincidence, the monitoring and collecting module operates when receiving the monitoring and collecting signal, and the device for detecting visibility in the road section is one or more of a road section visibility detector, a visibility observation instrument and a visibility weather phenomenon instrument.
3. The system for supervising the abnormal driving environment of the online car appointment based on the voice recognition system as claimed in claim 1, wherein the system further comprises a face recognition module, and the face recognition module is used for inputting face information of the passenger terminal and sending the face information to the cloud platform.
4. The method for supervising the abnormal driving environment of the online car booking based on the voice recognition is characterized by comprising the following steps:
the method comprises the following steps: the online car booking driver submits personal information, health information and vehicle information through a driver terminal and registers, and the health initial inspection module performs initial inspection on the personal information, the health information and the vehicle information of the online car booking;
step two: obtaining a body temperature safety level and an area risk level of a net car booking driver by obtaining the body temperature and the activity area of the net car booking driver in the previous 14 days, wherein if the minimum body temperature value in the previous 14 days is more than or equal to a body temperature safety threshold value and any high risk area exists in the activity area of the net car booking driver in the previous 14 days, the initial inspection is not passed, and the net car booking driver is not allowed to drive the net car booking; if the maximum body temperature value in the first 14 days is less than or equal to the body temperature safety threshold value and any high-risk area does not exist in the activity area of the network car booking driver in the first 14 days, the initial inspection is passed, the personal information, the health information and the vehicle information of the network car booking driver which is passed by the initial inspection are sent to the cloud platform, the network car booking driver successfully logs in a driver terminal and then carries out on-line order receiving work of the network car booking, and the passenger terminal carries out order placing work of the network car booking through the passenger terminal;
step three: the positioning module positions the geographic positions of a driver terminal and a passenger terminal in real time, when the positions of the driver terminal and the passenger terminal are coincident, the monitoring acquisition module starts to supervise and acquire the online car booking data and sends the online car booking data to the cloud platform, the abnormity judgment module judges and analyzes whether the online car booking data has abnormal conditions or not, the rainfall value of the region, the traffic flow of a region road section and the visibility of the road section are acquired through the geographic position of the online car booking, so that the environment severe value of the region where the online car is located is calculated, when the environment severe value exceeds a set environment severe threshold value, an abnormal signal is generated and sent to the cloud platform, when the environment severe value does not exceed the set environment severe threshold value, the voice information of the driver terminal and the sensitive phrase in the voice information of the passenger terminal are further acquired, the sensitive phrase is compared and matched with a preset sensitive phrase in a database, and when the sensitive phrase in the group is successfully matched with, generating an abnormal signal and sending the abnormal signal to the cloud platform;
step four: when the abnormal signal is received by the cloud platform, a control instruction is generated and loaded to the alarm sending module, the alarm sending module receives the instruction to send the alarm signal, and when the abnormal condition does not exist in the network car booking, the passenger terminal evaluates the service of the network car booking through the evaluation module and sends the evaluation result to the cloud platform after the passenger gets off the car.
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