阅读说明：本技术 一种基于移动警务物联网的车辆智能监控预警系统 (Vehicle intelligent monitoring and early warning system based on mobile police service Internet of things ) 是由 高群毅 曹鹏志 刘于昕 于 2021-08-24 设计创作，主要内容包括：本发明公开了一种基于移动警务物联网的车辆智能监控预警系统,属于移动警务领域,用于解决警用车辆的危险驾驶行为无法有效监测和无法依据移动警务终端的权限实现差异化访问的问题,包括偏离预警模块、速度监测模块和融合调度模块,所述融合调度模块用于对移动警务终端与物联网服务器之间进行访问调度,所述偏离预警模块用于对车辆的驾驶车道进行偏离预警,所述速度监测模块用于对车辆的异常行驶速度进行安全监测,通过数据连接模块将车辆的驾驶数据发送至移动警务终端,本发明能够对警用车辆的危险驾驶行为进行有效预警和监测,同时依据权限登记实现移动警务终端差异化访问物联网数据。(The invention discloses a vehicle intelligent monitoring and early warning system based on a mobile police service Internet of things, belonging to the field of mobile police service, the system is used for solving the problems that dangerous driving behaviors of police vehicles cannot be effectively monitored and differential access cannot be realized according to the authority of a mobile police terminal, and comprises a deviation early warning module, a speed monitoring module and a fusion scheduling module, the fusion scheduling module is used for performing access scheduling between the mobile police terminal and the Internet of things server, the deviation early warning module is used for carrying out deviation early warning on a driving lane of the vehicle, the speed monitoring module is used for carrying out safety monitoring on the abnormal running speed of the vehicle, the driving data of the vehicle is sent to the mobile police service terminal through the data connection module, so that the dangerous driving behavior of the police vehicle can be effectively pre-warned and monitored, and meanwhile, the mobile police service terminal can access the internet of things data in a differentiation mode according to authority registration.)

1. A vehicle intelligent monitoring and early warning system based on a mobile police service Internet of things is characterized by comprising a mobile police service terminal, an Internet of things server and a vehicle-mounted Internet of things terminal, wherein the Internet of things server comprises a deviation early warning module, a speed monitoring module and a fusion scheduling module;

the mobile police terminal is used for police personnel to send a data access request and send the data access request to the fusion scheduling module; after the converged scheduling module receives a data access request sent by the mobile police terminal, the converged scheduling module is used for performing access scheduling between the mobile police terminal and the internet of things server, and the working process specifically comprises the following steps:

step S1: acquiring an IP address of the mobile police terminal, and marking the mobile police terminal as a primary access terminal and a secondary access terminal through IP address comparison;

step S2: marking the secondary access terminal as u, u is 1, 2, … …, and x is a positive integer; acquiring the generation time of the data access request sent by the secondary access terminal, and marking the generation time as TSu;

step S3: acquiring the access level of the secondary access terminal, and acquiring an access authority coefficient FQXu corresponding to the secondary access terminal according to the access level;

step S4: acquiring the request times of the secondary access terminal for sending the data access request, and marking the request times as QCu; acquiring the access time of the secondary access terminal accessing the Internet of things server every time, and adding and summing the access time of the secondary access terminal accessing the Internet of things server every time and dividing the access time by the number of requests to obtain the access average time JFTu of the secondary access terminal;

step S5: by the formulaCalculating to obtain an access value FWu of the secondary access terminal; in the formula, c1 and c2 are both fixed values of proportionality coefficients, and the values of c1 and c2 are both greater than zero;

step S6: if the access value FWu of the secondary access terminal is greater than or equal to Y2, marking the secondary access terminal as an active access terminal;

if the access value FWu of the secondary access terminal is greater than or equal to Y1 and less than Y2, marking the secondary access terminal as a medium access terminal;

if the access value FWu of the secondary access terminal is smaller than Y1, the secondary access terminal is marked as a cold access terminal; wherein Y1 and Y2 are access thresholds, and Y1 < Y2;

the fusion scheduling module feeds an active access terminal, a medium access terminal, a cold access terminal or a first access terminal back to the Internet of things server, and the Internet of things server sets access authority for the mobile police terminal according to the active access terminal, the medium access terminal, the cold access terminal or the first access terminal;

the vehicle-mounted Internet of things terminal is connected with a data acquisition module and an alarm module, and the alarm module is used for alarming dangerous driving behaviors of the vehicle; the data acquisition module is used for acquiring driving data of a vehicle and sending the driving data to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal sends the driving data of the vehicle to the Internet of things server, and the Internet of things server sends the driving data of the vehicle to the deviation early warning module and the speed monitoring module respectively;

the deviation early warning module is connected with a timing unit, the timing unit is used for timing the deviation time of the vehicle and sending timing data to the deviation early warning module, the deviation early warning module is used for carrying out deviation early warning on a driving lane of the vehicle, if the vehicle is in a normal driving state, a passing-in state or a lane changing state, no signal is generated, and if the vehicle is judged to be in an abnormal driving state, a lane deviation signal is generated;

the lane departure warning system comprises a departure warning module, an Internet of things server, a vehicle-mounted Internet of things terminal, a warning module and a warning module, wherein the departure warning module sends lane departure signals to the Internet of things server, the Internet of things server feeds the lane departure signals back to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal converts the lane departure signals into warning signals, the vehicle-mounted Internet of things terminal loads the warning signals to the warning module, and the warning module gives out warning sounds;

the speed monitoring module is used for carrying out safety monitoring on the abnormal running speed of the vehicle, if the real-time vehicle speed of the vehicle is in a normal state, no signal is generated, if the real-time vehicle speed of the vehicle is in an abnormal state, a cautious driving signal is generated, and if the real-time vehicle speed of the vehicle is in a dangerous state, a dangerous driving signal is generated;

the speed monitoring module sends a cautious driving signal or a dangerous driving signal to the Internet of things server, the Internet of things server feeds the cautious driving signal or the dangerous driving signal back to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal sends the dangerous driving signal to the alarm module, the alarm module sends out an alarm sound after receiving the dangerous driving signal, and the Internet of things server displays the cautious driving signal on a vehicle-mounted central control screen of the vehicle;

the internet of things server records dangerous driving behaviors of the vehicle, integrates the recorded dangerous driving behaviors into driving data, and sends the driving data of the vehicle to the mobile police terminal through the data connection module.

2. The intelligent vehicle monitoring and early warning system based on the mobile police service Internet of things as claimed in claim 1, wherein the Internet of things server is connected with a vehicle-mounted Internet of things terminal, the Internet of things server is connected with a data connection module, the data connection module is connected with the mobile police service terminal, and the Internet of things server is in data connection with the mobile police service terminal through the data connection module.

3. The intelligent vehicle monitoring and early warning system based on the mobile police service internet of things as claimed in claim 1, wherein the working process of the deviation early warning module is as follows:

step P1: obtaining a preset driving route of the vehicle through a data acquisition module, obtaining a lane of the preset driving route of the vehicle, setting a plurality of first deviation detection points at equal intervals on the left boundary of the lane, and setting a plurality of second deviation detection points at equal intervals on the left boundary of the lane;

step P2: when the vehicle runs on the preset running route, the first deviation detection point is always positioned on the left side of the vehicle, and the second deviation detection point is always positioned on the right side of the vehicle; the four groups of tires of the vehicle are dotted, the left front wheel and the left rear wheel are connected at two points and then extend forwards and backwards to form a left deviation early warning line, and the right front wheel and the right rear wheel are connected at two points and then extend forwards and backwards to form a right deviation early warning line;

step P3: when the vehicle is in a running process, if the first deviation detection point is positioned on the left side of the left deviation early warning line and the second deviation detection point is positioned on the right side of the right deviation early warning line, the vehicle is judged to be in a normal running state and no signal is generated;

step P4: if the first deviation detection point is positioned on the right side of the left deviation early warning line or the second deviation detection point is positioned on the left side of the right deviation early warning line, the driving time of the vehicle in the abnormal driving state is acquired through the timing unit, and the driving time is marked as Tp;

if Tp is less than or equal to Ty, the vehicle is judged to be in a overtaking state, and no signal is generated;

if Tp is larger than Ty, judging that the vehicle is in an abnormal driving state, and generating a lane departure signal; wherein Ty is a time threshold;

step P5: and if the first deviation detection point of the adjacent lane is positioned on the left side of the left deviation precaution line and the second deviation detection point of the adjacent lane is positioned on the right side of the right deviation precaution line, judging that the vehicle changes the lane state and generating no signal.

4. The intelligent vehicle monitoring and early warning system based on the mobile police service internet of things as claimed in claim 1, wherein the safety monitoring steps of the speed monitoring module are as follows:

the method comprises the following steps: marking the vehicle as i, i ═ 1, 2, … …, z, z is a positive integer; acquiring a driving route of a vehicle, and acquiring a real-time traffic flow CLi on the driving route through the driving route;

step two: acquiring the front vehicle distance between the vehicle and the front vehicle, and marking the front vehicle distance as QCi; acquiring the rear vehicle distance between the vehicle and the rear vehicle, and marking the rear vehicle distance as HCi; the front inter-vehicle distance and the rear inter-vehicle distance are both provided with safety distances, and if the front inter-vehicle distance and the rear inter-vehicle distance exceed the safety distances, QCi and HCi are zero;

step three: acquiring the real-time speed of the vehicle, and marking the real-time speed as CSi;

step four: the vehicle speed abnormal value YCi of the vehicle is obtained by combining the formula, wherein the formula is as follows:

in the formula, a1 and a2 are both proportional coefficient fixed values, the values of a1 and a2 are both greater than zero, and e is a natural constant;

step five: if YCi is less than X1, the real-time speed of the vehicle is judged to be in a normal state, and no signal is generated;

step six: if X1 is not more than YCi and is more than X2, the real-time vehicle speed of the vehicle is judged to be in an abnormal state, and a prudent driving signal is generated;

step seven: if the X2 is less than or equal to YCi, the real-time vehicle speed of the vehicle is judged to be in a dangerous state, and a dangerous driving signal is generated; wherein X1 and X2 are vehicle speed thresholds, and X1 < X2.

5. The intelligent vehicle monitoring and early warning system based on the mobile police internet of things as claimed in claim 1, wherein the data acquisition module is a vehicle-mounted camera, a GPS, a speed sensor, an alarm device and a distance meter.

6. The intelligent vehicle monitoring and early warning system based on the internet of things for mobile police service of claim 1, wherein the dangerous driving behavior specifically comprises:

a1, lane departure early warning: the early warning is given when the driving speed is higher than the threshold speed, one side of the vehicle is pressed through a lane line and a turn light is not turned on;

a2, forward collision early warning: early warning when the driving speed is greater than the threshold speed and the expected time of collision with the front vehicle at a relative speed is less than the threshold value;

a3, sharp turn warning: abnormal sharp turn warning in driving process

A4, overspeed warning: abnormal overspeed warning in the driving process;

a5, emergency acceleration warning: alarming for abnormal rapid acceleration in the driving process;

a6, sudden deceleration warning: and alarming the abnormal rapid deceleration in the driving process.

7. The intelligent vehicle monitoring and early warning system based on the mobile police service Internet of things as claimed in claim 1, wherein the access level of the secondary access terminal is divided into: the access authority coefficient corresponding to the first-level access level is greater than that corresponding to the second-level access level, and the access authority coefficient corresponding to the second-level access level is greater than that corresponding to the third-level access level;

the access right of the first access terminal is browsing the service data of the Internet of things;

the access authority of the cold access terminal is browsing and downloading the service data of the Internet of things;

the access right of the medium access terminal is browsing, downloading and uploading of the service data of the Internet of things;

the access authority of the active access terminal is browsing, downloading, uploading and deleting the service data of the Internet of things.

Technical Field

The invention belongs to the field of mobile police service, relates to a vehicle monitoring and early warning technology, and particularly relates to an intelligent vehicle monitoring and early warning system based on a mobile police service Internet of things.

Background

The mobile police service is an informatization means for completing police service law enforcement work by accessing police service information through a wireless network by using mobile terminals such as a mobile phone, a PDA or a notebook computer. The system for realizing mobile police service is also called police service communication, and comprises a mobile terminal, a background processing platform and a corresponding network security mechanism. The convergence network of the advanced mobile police service comprises public-private convergence, wide-narrow convergence and convergence access of the Internet of things and a video private network, the convergence can be realized from three layers of a communication network segment, a service network segment and a service application end, and the safety architecture specification of the existing mobile police service network is met.

In the prior art, in the police service internet of things, various police vehicles have more blind areas in management, such as the running states of the vehicles, and the dangerous driving behaviors of the vehicles cannot be effectively and safely pre-warned and monitored; when the mobile police terminal is connected with the service data of the Internet of things, differentiated access cannot be performed according to the authority of the mobile police terminal, and the scheduling performance and the safety are poor in integration.

Disclosure of Invention

Aiming at the defects in the prior art, the invention aims to provide an intelligent vehicle monitoring and early warning system based on a mobile police service Internet of things.

The technical problem to be solved by the invention is as follows:

(1) how to carry out effective safety early warning and monitoring on dangerous driving behaviors of various police vehicles;

(2) when the mobile police terminal is connected with the service data of the Internet of things, how to realize differentiated access according to the authority of the mobile police terminal.

The purpose of the invention can be realized by the following technical scheme:

a vehicle intelligent monitoring and early warning system based on a mobile police service Internet of things comprises a mobile police service terminal, an Internet of things server and a vehicle-mounted Internet of things terminal, wherein the Internet of things server comprises a deviation early warning module, a speed monitoring module and a fusion scheduling module;

the mobile police terminal is used for police personnel to send a data access request and send the data access request to the fusion scheduling module; after the converged scheduling module receives a data access request sent by the mobile police terminal, the converged scheduling module is used for performing access scheduling between the mobile police terminal and the internet of things server, and the working process specifically comprises the following steps:

step S1: acquiring an IP address of the mobile police terminal, and marking the mobile police terminal as a primary access terminal and a secondary access terminal through IP address comparison;

step S2: marking the secondary access terminal as u, u is 1, 2, … …, and x is a positive integer; acquiring the generation time of the data access request sent by the secondary access terminal, and marking the generation time as TSu;

step S3: acquiring the access level of the secondary access terminal, and acquiring an access authority coefficient FQXu corresponding to the secondary access terminal according to the access level;

step S4: acquiring the request times of the secondary access terminal for sending the data access request, and marking the request times as QCu; acquiring the access time of the secondary access terminal accessing the Internet of things server every time, and adding and summing the access time of the secondary access terminal accessing the Internet of things server every time and dividing the access time by the number of requests to obtain the access average time JFTu of the secondary access terminal;

step S5: by the formulaCalculating to obtain an access value FWu of the secondary access terminal; in the formula, c1 and c2 are both fixed values of proportionality coefficients, and the values of c1 and c2 are both greater than zero;

step S6: if the access value FWu of the secondary access terminal is greater than or equal to Y2, marking the secondary access terminal as an active access terminal;

if the access value FWu of the secondary access terminal is greater than or equal to Y1 and less than Y2, marking the secondary access terminal as a medium access terminal;

if the access value FWu of the secondary access terminal is smaller than Y1, the secondary access terminal is marked as a cold access terminal; wherein Y1 and Y2 are access thresholds, and Y1 < Y2;

the fusion scheduling module feeds an active access terminal, a medium access terminal, a cold access terminal or a first access terminal back to the Internet of things server, and the Internet of things server sets access authority for the mobile police terminal according to the active access terminal, the medium access terminal, the cold access terminal or the first access terminal;

the vehicle-mounted Internet of things terminal is connected with a data acquisition module and an alarm module, and the alarm module is used for alarming dangerous driving behaviors of the vehicle; the data acquisition module is used for acquiring driving data of a vehicle and sending the driving data to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal sends the driving data of the vehicle to the Internet of things server, and the Internet of things server sends the driving data of the vehicle to the deviation early warning module and the speed monitoring module respectively;

the deviation early warning module is connected with a timing unit, the timing unit is used for timing the deviation time of the vehicle and sending timing data to the deviation early warning module, the deviation early warning module is used for carrying out deviation early warning on a driving lane of the vehicle, if the vehicle is in a normal driving state, a passing-in state or a lane changing state, no signal is generated, and if the vehicle is judged to be in an abnormal driving state, a lane deviation signal is generated;

the lane departure warning system comprises a departure warning module, an Internet of things server, a vehicle-mounted Internet of things terminal, a warning module and a warning module, wherein the departure warning module sends lane departure signals to the Internet of things server, the Internet of things server feeds the lane departure signals back to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal converts the lane departure signals into warning signals, the vehicle-mounted Internet of things terminal loads the warning signals to the warning module, and the warning module gives out warning sounds;

the speed monitoring module is used for carrying out safety monitoring on the abnormal running speed of the vehicle, if the real-time vehicle speed of the vehicle is in a normal state, no signal is generated, if the real-time vehicle speed of the vehicle is in an abnormal state, a cautious driving signal is generated, and if the real-time vehicle speed of the vehicle is in a dangerous state, a dangerous driving signal is generated;

the speed monitoring module sends a cautious driving signal or a dangerous driving signal to the Internet of things server, the Internet of things server feeds the cautious driving signal or the dangerous driving signal back to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal sends the dangerous driving signal to the alarm module, the alarm module sends out an alarm sound after receiving the dangerous driving signal, and the Internet of things server displays the cautious driving signal on a vehicle-mounted central control screen of the vehicle;

the internet of things server records dangerous driving behaviors of the vehicle, integrates the recorded dangerous driving behaviors into driving data, and sends the driving data of the vehicle to the mobile police terminal through the data connection module.

Further, the internet of things server is connected with a vehicle-mounted internet of things terminal, the internet of things server is connected with a data connection module, the data connection module is connected with a mobile police terminal, and the internet of things server is in data connection with the mobile police terminal through the data connection module.

Further, the working process of the deviation early warning module is as follows:

step P1: obtaining a preset driving route of the vehicle through a data acquisition module, obtaining a lane of the preset driving route of the vehicle, setting a plurality of first deviation detection points at equal intervals on the left boundary of the lane, and setting a plurality of second deviation detection points at equal intervals on the left boundary of the lane;

step P2: when the vehicle runs on the preset running route, the first deviation detection point is always positioned on the left side of the vehicle, and the second deviation detection point is always positioned on the right side of the vehicle; the four groups of tires of the vehicle are dotted, the left front wheel and the left rear wheel are connected at two points and then extend forwards and backwards to form a left deviation early warning line, and the right front wheel and the right rear wheel are connected at two points and then extend forwards and backwards to form a right deviation early warning line;

step P3: when the vehicle is in a running process, if the first deviation detection point is positioned on the left side of the left deviation early warning line and the second deviation detection point is positioned on the right side of the right deviation early warning line, the vehicle is judged to be in a normal running state and no signal is generated;

step P4: if the first deviation detection point is positioned on the right side of the left deviation early warning line or the second deviation detection point is positioned on the left side of the right deviation early warning line, the driving time of the vehicle in the abnormal driving state is acquired through the timing unit, and the driving time is marked as Tp;

if Tp is less than or equal to Ty, the vehicle is judged to be in a overtaking state, and no signal is generated;

if Tp is larger than Ty, judging that the vehicle is in an abnormal driving state, and generating a lane departure signal; wherein Ty is a time threshold;

step P5: and if the first deviation detection point of the adjacent lane is positioned on the left side of the left deviation precaution line and the second deviation detection point of the adjacent lane is positioned on the right side of the right deviation precaution line, judging that the vehicle changes the lane state and generating no signal.

Further, the safety monitoring steps of the speed monitoring module are as follows:

the method comprises the following steps: marking the vehicle as i, i ═ 1, 2, … …, z, z is a positive integer; acquiring a driving route of a vehicle, and acquiring a real-time traffic flow CLi on the driving route through the driving route;

step two: acquiring the front vehicle distance between the vehicle and the front vehicle, and marking the front vehicle distance as QCi; acquiring the rear vehicle distance between the vehicle and the rear vehicle, and marking the rear vehicle distance as HCi; the front inter-vehicle distance and the rear inter-vehicle distance are both provided with safety distances, and if the front inter-vehicle distance and the rear inter-vehicle distance exceed the safety distances, QCi and HCi are zero;

step three: acquiring the real-time speed of the vehicle, and marking the real-time speed as CSi;

step four: the vehicle speed abnormal value YCi of the vehicle is obtained by combining the formula, wherein the formula is as follows:

in the formula, a1 and a2 are both proportional coefficient fixed values, the values of a1 and a2 are both greater than zero, and e is a natural constant;

step five: if YCi is less than X1, the real-time speed of the vehicle is judged to be in a normal state, and no signal is generated;

step six: if X1 is not more than YCi and is more than X2, the real-time vehicle speed of the vehicle is judged to be in an abnormal state, and a prudent driving signal is generated;

step seven: if the X2 is less than or equal to YCi, the real-time vehicle speed of the vehicle is judged to be in a dangerous state, and a dangerous driving signal is generated; wherein X1 and X2 are vehicle speed thresholds, and X1 < X2.

Furthermore, the data acquisition module is a vehicle-mounted camera, a GPS, a speed sensor, an alarm device and a distance meter.

Further, the dangerous driving behavior specifically includes:

a1, lane departure early warning: the early warning is given when the driving speed is higher than the threshold speed, one side of the vehicle is pressed through a lane line and a turn light is not turned on;

a2, forward collision early warning: early warning when the driving speed is greater than the threshold speed and the expected time of collision with the front vehicle at a relative speed is less than the threshold value;

a3, sharp turn warning: abnormal sharp turn warning in driving process

A4, overspeed warning: abnormal overspeed warning in the driving process;

a5, emergency acceleration warning: alarming for abnormal rapid acceleration in the driving process;

a6, sudden deceleration warning: and alarming the abnormal rapid deceleration in the driving process.

Further, the access level of the secondary access terminal is divided into: the access authority coefficient corresponding to the first-level access level is greater than that corresponding to the second-level access level, and the access authority coefficient corresponding to the second-level access level is greater than that corresponding to the third-level access level;

the access right of the first access terminal is browsing the service data of the Internet of things;

the access authority of the cold access terminal is browsing and downloading the service data of the Internet of things;

the access right of the medium access terminal is browsing, downloading and uploading of the service data of the Internet of things;

the access authority of the active access terminal is browsing, downloading, uploading and deleting the service data of the Internet of things.

Compared with the prior art, the invention has the beneficial effects that:

1. the invention carries out deviation early warning on a driving lane of a vehicle through a deviation early warning module, sets a plurality of first deviation detection points and second deviation detection points according to the lane of a preset driving route of the vehicle, establishes a deviation early warning line of the vehicle, compares the deviation detection points with the deviation early warning line to obtain the driving state of the vehicle in the driving process of the vehicle, generates corresponding signals according to the driving state, carries out safety monitoring on the abnormal driving speed of the vehicle through a speed monitoring module, obtains the real-time traffic flow, the front inter-vehicle distance, the rear inter-vehicle distance and the real-time vehicle speed of the vehicle on the driving route according to the driving route of the vehicle, calculates the vehicle speed abnormal value of the vehicle, compares the vehicle speed abnormal value with a preset value to obtain the state of the real-time vehicle speed of the vehicle, generates corresponding signals according to the state, and is convenient for effective safety early warning and monitoring on the driving speed and the driving lane of various police vehicles, dangerous driving behaviors are avoided;

2. the invention is used for carrying out access scheduling between the mobile police terminal and the server of the Internet of things through the fusion scheduling module, dividing the mobile police terminal into a primary access terminal and a secondary access terminal through IP address comparison, calculating an access value of the secondary access terminal according to the access authority coefficient, the request times, the access averaging time and the data access request generation time of the acquired secondary access terminal, dividing the secondary access terminal into an active access terminal, a medium access terminal and a cold access terminal after the access value comparison sets a threshold value, and then, setting access authority for an active access terminal, a medium access terminal, a cold access terminal or a first access terminal through an Internet of things server.

Drawings

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 vehicle intelligent monitoring and early warning system based on the mobile police service internet of things comprises a mobile police service terminal, an internet of things server and a vehicle-mounted internet of things terminal, wherein the vehicle-mounted internet of things terminal comprises a data acquisition module and an alarm module, the internet of things server comprises a deviation early warning module, a speed monitoring module and a fusion scheduling module, the internet of things server is connected with the vehicle-mounted internet of things terminal, the internet of things server is connected with the fusion scheduling module, the fusion scheduling module is connected with the mobile police service terminal, and the internet of things server is in data connection with the mobile police service terminal through the fusion scheduling module;

the internet of things server transmits sensing data into an operator public network through a data connection module, the server deployed on the internet side is accessed into a mobile information network through a mobile internet service sub-platform, the internet of things server in the mobile information network provides internet of things data service support for other mobile police applications in a micro-service interface mode, the internet of things server is deployed in the internet and the mobile information network respectively, the two internet of things servers are interconnected through a boundary, and the main application scene designed by the access mode is as follows: collecting information data such as vehicle position, speed, state and the like;

the server of the Internet of things: the method supports the data of various sensors to be subjected to tandem connection, wherein the data comprises driving speed, driving acceleration, steering angle, front vehicle distance, facial features of a driver and the like; support intelligent data analysis: a vehicle condition history, a travel history of the specific vehicle; driving habits and dangerous driving behavior characteristics of specific drivers; analyzing and extracting the behavior characteristics and the trends of vehicles and drivers related to time, regions, fleets and other factors; supporting management of a dispatching desk and a mobile terminal APP;

vehicle-mounted Internet of things terminal: support multichannel video acquisition input, can realize driving state, the peripheral environment detection early warning that traveles based on machine vision and artificial intelligence, include: fatigue state of a driver, smoking of the driver, mobile phone striking of the driver, forward collision of the vehicle and lane departure;

providing real-time warning reminding for the driver for various behaviors of disturbing safe driving, and uploading relevant state information and relevant multimedia evidences (videos and pictures) to a cloud data platform in real time;

a variety of sensor data are supported: GPS/BD positioning, gyroscope sensing detection, support vehicle OBD, other sensors to expand and collect vehicle driving data;

the system supports a 2G/3G/4G public network transmission mode, and various sensor data, personnel information, vehicle condition data and the like are uploaded to a cloud data platform in real time;

the special vehicle-mounted design is adopted, the vehicle-mounted power supply is suitable for an automobile power supply, and the vehicle-mounted power supply can effectively adapt to the power supply conditions of different vehicles and the current impact and attenuation brought by the starting, accelerating and decelerating of the vehicles;

the high-shock-resistance design is adopted, and mechanical shock resistance, electronic shock resistance and software shock resistance are combined, so that the stability of the system is improved, and the system is suitable for different vehicle conditions and road conditions;

the system supports public network 2G/3G/4G communication and 4-path video real-time recording, can realize behavior feature extraction, trend analysis, vehicle remote monitoring, vehicle remote management and audio/video playback analysis of vehicles and drivers, and realizes functions of networking alarm and the like;

the vehicle-mounted Internet of things terminal is in data connection with a data acquisition module and an alarm module, wherein the data acquisition module is specifically a vehicle-mounted camera, a GPS (global positioning system), a speed sensor, alarm equipment, a distance meter, external expansion equipment and the like; the camera, the GPS, the external expansion equipment and the like jointly form a data acquisition module for acquiring the running environment on the vehicle, can complete the functions of safety early warning, bad behavior early warning, recording, video recording, alarming, video recording inquiry playback and the like, also provides information such as audio and video, geographic position, speed and the like of the vehicle by utilizing the GPS/BD (global positioning system), and transmits audio data, alarming information, GPS positioning data and other control information to the Internet of things server;

the terminal of the internet of things is connected with two types of data in a tandem mode: sensor data, in-vehicle video data. Video transmission channel closes under normal driving, judges when thing networking terminal differentiates certain parameter and surpasss the threshold value, promptly judges potential dangerous action driving behavior, and the terminal selection corresponding video transmission mode at this moment uploads the fragment image, photo to mobile police service terminal, includes:

A. vehicle active safety warning (ADAS): through to gathering driving image in real time to the camera, the intelligent recognition lane line position reaches and preceding car vehicle distance, relative speed, provides following main safety precaution function through intelligent judgement:

a1, lane departure early warning: the early warning is given when the driving speed is higher than the threshold speed, one side of the vehicle is pressed through a lane line and a turn light is not turned on;

a2, forward collision early warning: early warning when the driving speed is greater than the threshold speed and the expected time of collision with the front vehicle at a relative speed is less than the threshold value;

a3, early warning mode: the voice prompts the driver to keep a lane/pay attention to the vehicle distance, and a plurality of synthetic pictures are uploaded to a management platform to be kept as evidence;

B. poor driving behavior warning (DMS): through inside to camera real-time acquisition in driving driver face and peripheral image, the bad action of intelligent recognition driver harm driving safety provides following real-time alarming function:

b1, alarming when the driver dozes off/closes the eyes, alarming when the driver continuously closes the eyes during driving, alarming when the driver smokes smoke, alarming when the driver calls the mobile phone, calling when the driver calls during driving, alarming when the driver yawns, alarming when the driver distracts, alarming when the driver does not drive the vehicle, and alarming when the driver actually drives the vehicle;

b2, early warning mode: voice prompt driver attentive driving and alarm point video clip uploading management platform as evidence retention

C. Vehicle overspeed and three-emergency warning: through GPS big dipper location combination built-in accelerometer/gyroscope provide vehicle overspeed and three urgent warning functions, include:

c1, overspeed warning: abnormal overspeed warning in the driving process;

c2, emergency acceleration warning: alarming for abnormal rapid acceleration in the driving process;

c3, rapid deceleration warning: alarming the abnormal rapid deceleration in the driving process;

c4, sharp turn warning: alarming abnormal sharp turning in the driving process;

the server of the Internet of things: the system is used for storing a large amount of relevant historical data, including various normal driving data and abnormal data of people and vehicles, big data analysis, vehicle condition history and driving history of specific vehicles, driving habits of specific drivers and dangerous driving behavior characteristics;

in specific implementation, aiming at the data service characteristics of a specific Internet of things server, a corresponding micro-service module which accords with a service bus standard is designed, and a data interface is opened to a mobile police service terminal through a restful API interface and a video SDK of the micro-service module, so that other various police services can conveniently access the Internet of things service data according to corresponding authorities and a uniform interface mode, the integration and uniform scheduling of the Internet of things service and the mobile police service are realized, and the use safety of the Internet of things service data is improved;

the mobile police terminal is used for police personnel to send a data access request and send the data access request to the fusion scheduling module; after the converged scheduling module receives a data access request sent by the mobile police terminal, the converged scheduling module is used for performing access scheduling between the mobile police terminal and the internet of things server, and the working process specifically comprises the following steps:

step S1: acquiring an IP address of the mobile police terminal, and marking the mobile police terminal as a primary access terminal and a secondary access terminal through IP address comparison;

step S2: marking the secondary access terminal as u, u is 1, 2, … …, and x is a positive integer; acquiring the generation time of the data access request sent by the secondary access terminal, and marking the generation time as TSu;

step S3: acquiring the access level of the secondary access terminal, and acquiring an access authority coefficient FQXu corresponding to the secondary access terminal according to the access level;

the access level of the secondary access terminal is divided into: the access authority coefficient corresponding to the first-level access level is greater than that corresponding to the second-level access level, and the access authority coefficient corresponding to the second-level access level is greater than that corresponding to the third-level access level;

step S4: acquiring the request times of the secondary access terminal for sending the data access request, and marking the request times as QCu; acquiring the access time of the secondary access terminal accessing the Internet of things server every time, and adding and summing the access time of the secondary access terminal accessing the Internet of things server every time and dividing the access time by the number of requests to obtain the access average time JFTu of the secondary access terminal;

step S5: by the formulaCalculating to obtain an access value FWu of the secondary access terminal; in the formula, c1 and c2 are both fixed values of proportionality coefficients, and the values of c1 and c2 are both greater than zero;

step S6: if the access value FWu of the secondary access terminal is greater than or equal to Y2, marking the secondary access terminal as an active access terminal;

if the access value FWu of the secondary access terminal is greater than or equal to Y1 and less than Y2, marking the secondary access terminal as a medium access terminal;

if the access value FWu of the secondary access terminal is smaller than Y1, the secondary access terminal is marked as a cold access terminal; wherein Y1 and Y2 are access thresholds, and Y1 < Y2;

the fusion scheduling module feeds an active access terminal, a medium access terminal, a cold access terminal or a first access terminal back to the Internet of things server, and the Internet of things server sets access authority for the mobile police terminal according to the active access terminal, the medium access terminal, the cold access terminal or the first access terminal;

the access right of the first access terminal is browsing the service data of the Internet of things;

the access authority of the cold access terminal is browsing and downloading the service data of the Internet of things;

the access right of the medium access terminal is browsing, downloading and uploading of the service data of the Internet of things;

the access authority of the active access terminal is browsing, downloading, uploading and deleting the service data of the Internet of things;

the warning module is used for warning dangerous driving behaviors of the vehicle; the data acquisition module is used for acquiring driving data of a vehicle and sending the driving data to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal sends the driving data of the vehicle to the Internet of things server, and the Internet of things server sends the driving data of the vehicle to the deviation early warning module and the speed monitoring module respectively;

specifically, the following are: the driving data of the vehicle is specifically a vehicle driving route, a vehicle driving lane, a real-time vehicle speed, a vehicle distance and the like;

when the vehicle lane departure warning system is specifically implemented, the vehicle runs on a road with two lanes in two directions, the vehicle is located on the left lane, but the vehicle lane departure warning system is not limited to the two lanes, the departure warning module is connected with a timing unit, the timing unit is used for timing departure time of the vehicle and sending timing data to the departure warning module, the departure warning module is used for carrying out departure warning on a driving lane of the vehicle, and the working process is specifically as follows:

step P1: obtaining a preset driving route of the vehicle through a data acquisition module, obtaining a lane of the preset driving route of the vehicle, setting a plurality of first deviation detection points at equal intervals on the left boundary of the lane, and setting a plurality of second deviation detection points at equal intervals on the left boundary of the lane;

step P2: when the vehicle runs on the preset running route, the first deviation detection point is always positioned on the left side of the vehicle, and the second deviation detection point is always positioned on the right side of the vehicle; the four groups of tires of the vehicle are dotted, the left front wheel and the left rear wheel are connected at two points and then extend forwards and backwards to form a left deviation early warning line, and the right front wheel and the right rear wheel are connected at two points and then extend forwards and backwards to form a right deviation early warning line;

step P3: when the vehicle is in a running process, if the first deviation detection point is positioned on the left side of the left deviation early warning line and the second deviation detection point is positioned on the right side of the right deviation early warning line, the vehicle is judged to be in a normal running state and no signal is generated;

step P4: if the first deviation detection point is positioned on the right side of the left deviation early warning line or the second deviation detection point is positioned on the left side of the right deviation early warning line, the driving time of the vehicle in the abnormal driving state is acquired through the timing unit, and the driving time is marked as Tp;

if Tp is less than or equal to Ty, the vehicle is judged to be in a overtaking state, and no signal is generated;

if Tp is larger than Ty, judging that the vehicle is in an abnormal driving state, and generating a lane departure signal; wherein Ty is a time threshold;

step P5: acquiring a first deviation detection point and a second deviation detection point of adjacent lanes, and if the first deviation detection point of the adjacent lane is positioned on the left side of the left deviation precaution line and the second deviation detection point of the adjacent lane is positioned on the right side of the right deviation precaution line, judging that the vehicle changes the lane state and generating no signal;

the lane departure warning system comprises a departure warning module, an Internet of things server, a vehicle-mounted Internet of things terminal, a warning module and a warning module, wherein the departure warning module sends lane departure signals to the Internet of things server, the Internet of things server feeds the lane departure signals back to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal converts the lane departure signals into warning signals, the vehicle-mounted Internet of things terminal loads the warning signals to the warning module, and the warning module gives out warning sounds;

in specific implementation, the vehicle is located on a straight urban road, but not limited to the above, the speed monitoring module is configured to perform safety monitoring on abnormal driving speed of the vehicle, and the safety monitoring steps are specifically as follows:

the method comprises the following steps: marking the vehicle as i, i ═ 1, 2, … …, z, z is a positive integer; acquiring a driving route of a vehicle, and acquiring a real-time traffic flow CLi on the driving route through the driving route;

step two: acquiring the front vehicle distance between the vehicle and the front vehicle, and marking the front vehicle distance as QCi; acquiring the rear vehicle distance between the vehicle and the rear vehicle, and marking the rear vehicle distance as HCi; the front inter-vehicle distance and the rear inter-vehicle distance are both provided with safety distances, and if the front inter-vehicle distance and the rear inter-vehicle distance exceed the safety distances, QCi and HCi are zero;

step three: acquiring the real-time speed of the vehicle, and marking the real-time speed as CSi;

step four: the vehicle speed abnormal value YCi of the vehicle is obtained by combining the formula, wherein the formula is as follows:

in the formula, a1 and a2 are both proportional coefficient fixed values, the values of a1 and a2 are both greater than zero, and e is a natural constant;

step five: if YCi is less than X1, the real-time speed of the vehicle is judged to be in a normal state, and no signal is generated;

step six: if X1 is not more than YCi and is more than X2, the real-time vehicle speed of the vehicle is judged to be in an abnormal state, and a prudent driving signal is generated;

step seven: if the X2 is less than or equal to YCi, the real-time vehicle speed of the vehicle is judged to be in a dangerous state, and a dangerous driving signal is generated; wherein X1 and X2 are vehicle speed thresholds, and X1 is less than X2;

the speed monitoring module sends a cautious driving signal or a dangerous driving signal to the Internet of things server, the Internet of things server feeds the cautious driving signal or the dangerous driving signal back to the vehicle-mounted Internet of things terminal, the vehicle-mounted Internet of things terminal sends the dangerous driving signal to the alarm module, the alarm module sends out an alarm sound after receiving the dangerous driving signal, and the Internet of things server displays the cautious driving signal on a vehicle-mounted central control screen of the vehicle;

meanwhile, the internet of things server records dangerous driving behaviors of the vehicle, integrates the recorded dangerous driving behaviors into driving data, and sends the driving data of the vehicle to the mobile police terminal through the data connection module.

The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, 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.