CN112950941A - Attack early warning analysis system based on big data - Google Patents
Attack early warning analysis system based on big data Download PDFInfo
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- CN112950941A CN112950941A CN202110185236.7A CN202110185236A CN112950941A CN 112950941 A CN112950941 A CN 112950941A CN 202110185236 A CN202110185236 A CN 202110185236A CN 112950941 A CN112950941 A CN 112950941A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/081—Plural intersections under common control
Abstract
The invention discloses an attack early warning analysis system based on big data, which belongs to the technical field of big data analysis and comprises a request end, a control end and a traffic signal lamp; the request end sends request data to the control end, the control end sends a control signal to the traffic signal lamp in response to the request of the request data for regulation and control, and the control end returns a response result to the request end in a response data form; the time analysis unit analyzes the request time of the current request data to determine whether the request time is normal, the current situation analysis unit analyzes the current situation of whether the current road traffic is congested or not to determine whether the request data is normal, the emergency analysis unit analyzes whether emergency vehicles pass through the current road or not to determine whether adjustment and control of traffic lights are requested due to the passing of the emergency vehicles or not, and marking of abnormal request data can be achieved, so that early warning and analysis of the request data can be achieved.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to an attack early warning analysis system based on big data.
Background
The wireless traffic signal remote control system transmits traffic light control signals by utilizing a wireless communication module, and can realize point-to-point and point-to-multipoint data communication; the system consists of a transmitting plate and a receiving plate: the sending and setting board comprises a wireless sending module used for generating and sending traffic light control signals, the receiving board is used for receiving the sent traffic light control signals and sending the traffic light control signals to the single chip microcomputer for analysis, the traffic light control signals are obtained from the traffic light control signals and are controlled to be displayed by the signal lamp, although the wireless traffic signal remote control system facilitates the control of the traffic signal lamp, the road traffic is more smooth, but the control system is easily tampered by lawless persons due to the fact that the wireless traffic signal remote control system is controlled by the remote control, the traffic signal lamp is easily disordered, traffic paralysis is caused, and normal road traffic is influenced, and therefore people urgently need an attack early warning analysis system based on big data to solve the problems.
Disclosure of Invention
The invention aims to provide an attack early warning analysis system based on big data to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: the attack early warning analysis system based on big data comprises a request end for sending a control request, a control end for adjusting and controlling a traffic signal lamp and a traffic signal lamp for standardizing road traffic;
the request end sends request data to the control end, the control end is requested to adjust and control the traffic signal lamp, the control end sends a control signal to the traffic signal lamp in response to the request of the request data to adjust and control the traffic signal lamp, and the control end returns a response result to the request end in a form of response data;
the system also comprises a database for storing various historical data;
through the technical scheme, the traffic signal lamp can be remotely controlled according to the actual condition of road traffic, so that the dredging and the drainage of the road traffic are realized, the road congestion is reduced, and the smoothness of the road is guaranteed.
According to the technical scheme, the request data are analyzed through the analysis end, the analysis end sends the analysis result signal to the control end, and whether the request data are attacked by the attack end or not is analyzed.
Through the analysis of the analysis end on the request data, the request data can be effectively prevented from being attacked by the attack end in the transmission process, the condition that the request data is falsified or the request data is maliciously generated is avoided, the traffic signal lamp can be effectively prevented from being maliciously controlled by lawless persons, the condition that traffic disorder and traffic paralysis occur due to the fact that the traffic signal lamp is controlled can be avoided, and the smoothness of a road is guaranteed.
According to the technical scheme, the analysis end comprises a time analysis unit, a current situation analysis unit and an emergency analysis unit;
the time analysis unit is used for analyzing the request time of the request data so as to judge whether the data which is requested to regulate and control the traffic signal lamp in the current time period is normal or not, the time analysis unit can preliminarily judge whether the request data is abnormal or not, because the traffic signal lamp is requested to be regulated and controlled remotely only in the time period with the peak traffic flow, if the request data is sent in other time periods, the request data is probably abnormal data which is falsified or generated by an attack end, therefore, the request data needs to be marked, the current situation analysis unit is used for analyzing the congestion situation of the current intersection so as to judge whether the data which is requested to regulate and control the traffic signal lamp remotely or not is abnormal or not, because the traffic signal lamp is requested to be regulated and controlled in all unblocked situations at the road intersection, it is abnormal behavior, so that the requested data needs to be marked at this time, and the emergency analysis unit is used for analyzing whether emergency vehicles need to pass through the current road, so as to judge whether the data requesting the remote adjustment and control of the traffic signal lamp is normal, because when emergency vehicles need to pass through the road, for example: in order to ensure that emergency vehicles quickly and safely reach destinations, ambulances, fire trucks, police cars and the like often need to adjust traffic lights, and even under the condition that roads are not congested, the vehicles restricted by the traffic lights can cause congestion at road intersections to influence the passing of the emergency vehicles;
the time analysis unit sends the abnormal request data of the analysis mark to the current situation analysis unit, the current situation analysis unit sends the abnormal request data of the analysis mark to the emergency analysis unit, and the emergency analysis unit sends the analysis result to the control end.
According to the technical scheme, the current request time point of the request data is T, and the analysis end retrieves the time point of the historical request data from the database to form a historical request data time point set P ═ { P ═ P { (P) }1,P2,P3,...,PnN represents n historical request data time points in the set P, and the time analysis unit carries out difference on the request time point T of the current request data and the time point in the historical request data time point set P according to the following formula
And (3) calculating:
when in use
When the traffic signal lamp is in the normal time, the request time point T of the current request data belongs to the normal time point for remotely adjusting and controlling the traffic signal lamp;
when in use
The time analysis unit carries out abnormal marking on the current request data, wherein P is the time point T which indicates that the request time point of the current request data does not belong to the normal time point for carrying out remote regulation and control on the traffic signal lampiRepresenting the ith historical request data time point in the set P, and a representing the set time difference threshold;
calculating the difference between the current request data time point and the historical request data time point, and limiting the range of the difference by a threshold value, so that whether the request time point of the current request data belongs to a normal range can be judged, and whether the current request data is abnormal can be judged;
the current situation analysis unit monitors that the traffic flow of the current intersection is X, and the analysis end calls historical traffic flow data of the intersection each time the intersection is controlled by a traffic signal lamp from a database to form a historical traffic flow data set Y ═ { Y ═ Y1,Y2,Y3,...,YnAnd the current situation analysis unit carries out analysis on the difference value between the intersection traffic flow X of the current request data and the traffic flow in the historical traffic flow data set Y according to the following formula
And (3) calculating:
when in use
When the traffic flow of the intersection of the current request data belongs to the traffic flow for remotely adjusting and controlling the traffic signal lamp;
when in use
When the current situation analysis unit detects that the intersection traffic flow of the current request data does not belong to the traffic flow for remotely adjusting and controlling the traffic signal lamp, the current situation analysis unit carries out abnormal marking on the current request data, wherein Y isiThe intersection traffic flow corresponding to the ith historical request data in the set Y is represented, and b represents a set traffic flow difference threshold value;
calculating the difference value between the intersection traffic flow corresponding to the current request data and the intersection traffic flow corresponding to the historical request data, and limiting the range of the difference value by a threshold value, so that whether the intersection traffic flow corresponding to the current request data belongs to a normal range can be judged, and whether the current request data is abnormal can be judged;
the analysis end is connected with an emergency vehicle navigation system and used for calling the navigation system of the emergency vehicle, the distance from a starting point to a certain intersection of the emergency vehicle is L, the average speed per hour of the emergency vehicle is V, and the time point when the emergency vehicle starts from the starting point is TGet upThe emergency analysis unit is used for analyzing the time point T when the emergency vehicle reaches the intersection according to the following formulaTo achieveAnd (3) calculating:
when T isTo achieveWhen T +/-c is obtained, the current request data is normal request data for the emergency vehicle to dredge the road intersection;
when T isTo achieveWhen the current request data is not used for the emergency vehicle to dredge the road intersection, the current request data is abnormal request data, and the emergency analysis unit marks the request data, wherein c represents a fluctuating threshold value;
and the time analysis unit, the current situation analysis unit and the emergency analysis unit respectively analyze result signals and send the result signals to the control end.
The specific time point when the emergency vehicle arrives at a certain intersection can be analyzed and determined through the formula, and the specific time point is compared with the request time point of the current request data, so that whether the current request data is used for dredging the road for the emergency vehicle or not is determined, and whether the current request data is abnormal request data or not is determined.
The abnormal request data can be marked through the analysis of the current request data by the time analysis unit, the current situation analysis unit and the emergency analysis unit, and when the current request data is maliciously tampered by an attack end, the abnormal data can be timely found.
According to the technical scheme, in order to further guarantee the accuracy of judging the current request data, the system utilizes the simulation terminal to perform simulation analysis on the current request data, and judges whether the execution of the current request data can affect the current traffic, so that the early warning and the analysis of the request data can be further guaranteed.
According to the technical scheme, the simulation end comprises a model establishing unit, a coordinate system establishing unit, a traffic flow collecting unit and a congestion analyzing unit;
the traffic flow acquisition unit is used for acquiring traffic flow data of each intersection in a time period in which a traffic signal lamp indicates a traffic state, and the traffic flow acquisition unit acquires traffic flow Zij, the number of lanes at the intersection is HjWherein j represents the jth intersection, i represents the ith passage of the jth intersection in the state that the traffic signal lamp indicates the passage, and the congestion analysis unit calculates the waiting distance of the vehicles between every two intersections according to the traffic flow when the traffic signal lamp indicates the communication state, so as to determine whether congestion is caused, and further realize the simulation of the current request data.
According to the technical scheme, the time length of the traffic signal lamp corresponding to each time of traffic flow data acquired by the traffic flow acquisition unit, which indicates the traffic state, is Uij, the traffic flow acquisition unit carries out traffic speed v under the traffic state of the jth intersection according to the following formulajCalculating;
by calculating the vehicle passing speed of each intersection when the traffic signal lamp indicates the passing state, whether traffic paralysis can be caused at the passing speed or not can be conveniently analyzed according to the current request data.
According to the technical scheme, the average length of each vehicle is calculated to be d through big data, and the time length of the traffic signal lamp passing state of the jth intersection requested by the request data is ujAfter the coordinate system establishing unit establishes the planar rectangular coordinate system on the two-dimensional model, the coordinate value of each intersection is (x)j，yj) Forming a crossing coordinate value set W { (x)1,y1),(x2,y2),(x3,y3),...,(xm,ym) The congestion analysis unit is used for analyzing the linear distance between every two adjacent intersections according to the following formula
Calculating, wherein j represents the j th intersection, and j +1 represents the j +1 th intersection:
the congestion analysis unit waits for the total length of the vehicles at the j +1 th intersection according to the following formula
And (3) calculating:
when in use
When the traffic signal lamp is in use, the traffic jam can be caused at the (j + 1) th intersection by remotely adjusting and controlling the traffic signal lamp according to the current request data;
when in use
And in time, the traffic signal lamp remote regulation and control is carried out according to the current request data, so that traffic jam cannot be caused at the j +1 th intersection.
Firstly, the distance between the jth crossing and the (j + 1) th crossing is measured
Calculating, and then requesting the traffic signal lamp of the jth intersection to have the traffic signal lamp passing state time length of u according to the current request datajAnd the traffic speed v of the jth intersection in the traffic state acquired by the traffic flow acquisition unitjCalculating the number of vehicles passing through the jth intersection and the jth +1 th intersection each time when the traffic signal lamp indicates a passing state, and calculating the total length of waiting vehicles at the jth +1 th intersection according to the waiting vehicle data, the length of the vehicles and the number of lanes
Waiting for the total length of the vehicle by the j +1 th intersection
Distance between the jth crossing and the (j + 1) th crossing
The comparison can judge whether the traffic jam is caused, and the traffic condition is analyzed and early warned in the mode of the advanced simulation analysis, so that whether the current request data is abnormal data can be further judged and analyzed, and the traffic jam condition can be effectively avoided.
According to the technical scheme, the simulation end sends a final simulation result signal to the control end, and the control end analyzes the simulation result signal sent by the simulation end and an analysis result signal sent by the analysis end;
when the analysis end analyzes and marks the current request data as abnormal data and the simulation result signal of the simulation end displays that congestion can be caused to road traffic, the control end does not control the traffic signal lamp according to the current request data;
when the analysis end analyzes and marks the current request data as abnormal data and the simulation result signal of the simulation end shows that congestion cannot be caused to the road traffic condition, the control end controls the traffic signal lamp according to the current request data;
when the analysis end analyzes and marks the current request data as normal data and the simulation result signal of the simulation end shows that congestion is caused to the road traffic condition, the control end controls the traffic signal lamp according to the current request data.
When the request data is analyzed to be normal data but congestion is caused to the traffic, the request end may be in some emergency to perform remote adjustment and control on the traffic signal lamp.
According to the technical scheme, the control end adjusts and controls the traffic signal lamp according to the request content of the current request data, but when congestion is caused to road traffic or the current request data are abnormal data, the system sends out an early warning signal by using the early warning end, and the early warning signal is sent to the request end along with the response data. When the traffic signal lamp is controlled according to the current request data, the request end needs to be informed whether the current request data is abnormal or traffic jam is caused, so that the request end can send out the request data in time and make adjustment to enable the road traffic to be recovered to be normal.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention is provided with an analysis end, analyzes the request time of the current request data through a time analysis unit, confirms whether the request time is normal, analyzes the current situation of whether the current road traffic is congested through a current situation analysis unit, confirms whether the request data is normal, analyzes whether an emergency vehicle passes through the current road through an emergency analysis unit, confirms whether the adjustment and control of a traffic signal lamp are requested due to the passing of the emergency vehicle, and can realize the marking of abnormal request data, thereby realizing the early warning and analysis of the request data and avoiding traffic paralysis caused by the falsification of lawless persons to the request data.
2. The traffic jam monitoring system is provided with a simulation end, a model establishing unit is used for establishing a two-dimensional model of road traffic, a coordinate system establishing unit is used for establishing a plane rectangular coordinate system of the two-dimensional model, a traffic flow collecting unit is used for collecting traffic flow data of each intersection in a traffic signal lamp indicating traffic state, a jam analyzing unit is used for analyzing and regulating and controlling whether the traffic signal lamp can cause road jam according to the content of current request data, and the current request data are simulated before the current request data are put into practical control, so that whether the current request data are executed or not can be selected according to a simulation result, the condition that the request data after being tampered by lawless persons are directly executed can be effectively avoided, traffic paralysis is caused, and the road traffic is smoother.
Drawings
FIG. 1 is a schematic diagram of a connection relationship structure of an attack early warning analysis system based on big data according to the present invention;
fig. 2 is a schematic diagram of a composition relationship structure of the big data-based attack early warning analysis system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
As shown in fig. 1-2, the attack early warning analysis system based on big data includes a request end for sending a control request, a control end for adjusting and controlling a traffic signal lamp, and a traffic signal lamp for standardizing road traffic;
the request end sends request data to the control end, the control end is requested to adjust and control the traffic signal lamp, the control end sends a control signal to the traffic signal lamp in response to the request of the request data to adjust and control the traffic signal lamp, and the control end returns a response result to the request end in a form of response data;
the system also comprises a database for storing various historical data;
through the technical scheme, the traffic signal lamp can be remotely controlled according to the actual condition of road traffic, so that the dredging and the drainage of the road traffic are realized, the road congestion is reduced, and the smoothness of the road is guaranteed.
The request data are analyzed through the analysis end, the analysis end sends an analysis result signal to the control end, and whether the request data are attacked by the attack end or not is analyzed.
Through the analysis of the analysis end on the request data, the request data can be effectively prevented from being attacked by the attack end in the transmission process, the condition that the request data is falsified or the request data is maliciously generated is avoided, the traffic signal lamp can be effectively prevented from being maliciously controlled by lawless persons, the condition that traffic disorder and traffic paralysis occur due to the fact that the traffic signal lamp is controlled can be avoided, and the smoothness of a road is guaranteed.
The analysis end comprises a time analysis unit, a current situation analysis unit and an emergency analysis unit;
the time analysis unit is used for analyzing the request time of the request data so as to judge whether the data which is requested to regulate and control the traffic signal lamp in the current time period is normal or not, the time analysis unit can preliminarily judge whether the request data is abnormal or not, because the traffic signal lamp is requested to be regulated and controlled remotely only in the time period with the peak traffic flow, if the request data is sent in other time periods, the request data is probably abnormal data which is falsified or generated by an attack end, therefore, the request data needs to be marked, the current situation analysis unit is used for analyzing the congestion situation of the current intersection so as to judge whether the data which is requested to regulate and control the traffic signal lamp remotely or not is abnormal or not, because the traffic signal lamp is requested to be regulated and controlled in all unblocked situations at the road intersection, it is abnormal behavior, so that the requested data needs to be marked at this time, and the emergency analysis unit is used for analyzing whether emergency vehicles need to pass through the current road, so as to judge whether the data requesting the remote adjustment and control of the traffic signal lamp is normal, because when emergency vehicles need to pass through the road, for example: in order to ensure that emergency vehicles quickly and safely reach destinations, ambulances, fire trucks, police cars and the like often need to adjust traffic lights, and even under the condition that roads are not congested, the vehicles restricted by the traffic lights can cause congestion at road intersections to influence the passing of the emergency vehicles;
the time analysis unit sends the abnormal request data of the analysis mark to the current situation analysis unit, the current situation analysis unit sends the abnormal request data of the analysis mark to the emergency analysis unit, and the emergency analysis unit sends the analysis result to the control end.
The current request time point of the request data is T, the analysis end retrieves the time point of the historical request data from the database to form a historical request data time point set P ═ { P ═ P { (P)1,P2,P3,...,PnN represents n historical request data time points in the set P, and the time analysis unit carries out difference on the request time point T of the current request data and the time point in the historical request data time point set P according to the following formula
And (3) calculating:
when in use
When the traffic signal lamp is in the normal time, the request time point T of the current request data belongs to the normal time point for remotely adjusting and controlling the traffic signal lamp;
when in use
The time analysis unit carries out abnormal marking on the current request data, wherein P is the time point T which indicates that the request time point of the current request data does not belong to the normal time point for carrying out remote regulation and control on the traffic signal lampiRepresenting the ith historical request data time point in the set P, and a representing the set time difference threshold;
calculating the difference between the current request data time point and the historical request data time point, and limiting the range of the difference by a threshold value, so that whether the request time point of the current request data belongs to a normal range can be judged, and whether the current request data is abnormal can be judged;
the current situation analysis unit monitors that the traffic flow of the current intersection is X, and the analysis end calls historical traffic flow data of the intersection each time the intersection is controlled by a traffic signal lamp from a database to form a historical traffic flow data set Y ═ { Y ═ Y1,Y2,Y3,...,YnAnd the current situation analysis unit carries out analysis on the difference value between the intersection traffic flow X of the current request data and the traffic flow in the historical traffic flow data set Y according to the following formula
And (3) calculating:
when in use
When the traffic flow of the intersection of the current request data belongs to the traffic flow for remotely adjusting and controlling the traffic signal lamp;
when in use
When the traffic signal lamp is in the traffic state, the intersection traffic flow indicating the current request data does not belong to the remote control of the traffic signal lampRegulating the controlled traffic flow, the status analysis unit abnormally marking the currently requested data, wherein YiThe intersection traffic flow corresponding to the ith historical request data in the set Y is represented, and b represents a set traffic flow difference threshold value;
calculating the difference value between the intersection traffic flow corresponding to the current request data and the intersection traffic flow corresponding to the historical request data, and limiting the range of the difference value by a threshold value, so that whether the intersection traffic flow corresponding to the current request data belongs to a normal range can be judged, and whether the current request data is abnormal can be judged;
the analysis end is connected with an emergency vehicle navigation system and used for calling the navigation system of the emergency vehicle, the distance from a starting point to a certain intersection of the emergency vehicle is L, the average speed per hour of the emergency vehicle is V, and the time point when the emergency vehicle starts from the starting point is TGet upThe emergency analysis unit is used for analyzing the time point T when the emergency vehicle reaches the intersection according to the following formulaTo achieveAnd (3) calculating:
when T isTo achieveWhen T +/-c is obtained, the current request data is normal request data for the emergency vehicle to dredge the road intersection;
when T isTo achieveWhen the current request data is not used for the emergency vehicle to dredge the road intersection, the current request data is abnormal request data, and the emergency analysis unit marks the request data, wherein c represents a set fluctuation threshold value;
and the time analysis unit, the current situation analysis unit and the emergency analysis unit respectively analyze result signals and send the result signals to the control end.
The specific time point when the emergency vehicle arrives at a certain intersection can be analyzed and determined through the formula, and the specific time point is compared with the request time point of the current request data, so that whether the current request data is used for dredging the road for the emergency vehicle or not is determined, and whether the current request data is abnormal request data or not is determined.
The abnormal request data can be marked through the analysis of the current request data by the time analysis unit, the current situation analysis unit and the emergency analysis unit, and when the current request data is maliciously tampered by an attack end, the abnormal data can be timely found.
In order to further guarantee the accuracy of judging the current request data, the system utilizes the simulation terminal to carry out simulation analysis on the current request data and judges whether the execution of the current request data can affect the current traffic, so that the early warning and the analysis of the request data can be further guaranteed.
The simulation end comprises a model establishing unit, a coordinate system establishing unit, a traffic flow collecting unit and a congestion analyzing unit;
the traffic flow acquisition unit is used for acquiring traffic flow data of each intersection in a time period in which a traffic signal lamp indicates a traffic state, and the traffic flow acquisition unit acquires traffic flow of each intersection in a time period in which the traffic signal lamp indicates a traffic state, wherein the traffic flow is acquired by the traffic flow acquisition unit
The number of lanes at the intersection is HjWherein j represents the jth intersection, i represents the ith passage of the jth intersection in the state that the traffic signal lamp indicates the passage, and the congestion analysis unit calculates the waiting distance of the vehicles between every two intersections according to the traffic flow when the traffic signal lamp indicates the communication state, so as to determine whether congestion is caused, and further realize the simulation of the current request data.
The traffic flow data of each time collected by the traffic flow collecting unit corresponds to trafficThe time length of the signal lamp indicating the passing state is
The traffic flow acquisition unit is used for acquiring the traffic speed v of the jth intersection in a traffic state according to the following formulajCalculating;
by calculating the vehicle passing speed of each intersection when the traffic signal lamp indicates the passing state, whether traffic paralysis can be caused at the passing speed or not can be conveniently analyzed according to the current request data.
Calculating the average length of each vehicle as d through big data, wherein the request data requests the traffic signal lamp of the jth intersection to pass through the state of the time length as ujAfter the coordinate system establishing unit establishes the planar rectangular coordinate system on the two-dimensional model, the coordinate value of each intersection is (x)j，yj) Forming a crossing coordinate value set W { (x)1,y1),(x2,y2),(x3,y3),...,(xm,ym) The congestion analysis unit is used for analyzing the linear distance between every two adjacent intersections according to the following formula
Calculating, wherein j represents the j th intersection, and j +1 represents the j +1 th intersection:
the congestion analysis unit waits for the total length of the vehicles at the j +1 th intersection according to the following formula
And (3) calculating:
when in use
When the traffic signal lamp is in use, the traffic jam can be caused at the (j + 1) th intersection by remotely adjusting and controlling the traffic signal lamp according to the current request data;
when in use
And in time, the traffic signal lamp remote regulation and control is carried out according to the current request data, so that traffic jam cannot be caused at the j +1 th intersection.
Firstly, the distance Sj between the jth crossing and the (j + 1) th crossing is measuredj+1, calculating, and then requesting the traffic signal lamp of the jth intersection to have the traffic signal lamp passing state time length of u according to the current request datajAnd the traffic speed v of the jth intersection in the traffic state acquired by the traffic flow acquisition unitjCalculating the number of vehicles passing through the jth intersection and the jth +1 th intersection each time when the traffic signal lamp indicates a passing state, and calculating the total length of waiting vehicles at the jth +1 th intersection according to the waiting vehicle data, the length of the vehicles and the number of lanes
Waiting for the total length of the vehicle by the j +1 th intersection
Distance between the jth crossing and the (j + 1) th crossing
The comparison can judge whether the traffic jam is caused, and the traffic condition is analyzed and early warned in the mode of the advanced simulation analysis, so that whether the current request data is abnormal data can be further judged and analyzed, and the traffic jam condition can be effectively avoided.
The simulation end sends the final simulation result signal to the control end, and the control end analyzes the simulation result signal sent by the simulation end and the analysis result signal sent by the analysis end;
when the analysis end analyzes and marks the current request data as abnormal data and the simulation result signal of the simulation end displays that congestion can be caused to road traffic, the control end does not control the traffic signal lamp according to the current request data;
when the analysis end analyzes and marks the current request data as abnormal data and the simulation result signal of the simulation end shows that congestion cannot be caused to the road traffic condition, the control end controls the traffic signal lamp according to the current request data;
when the analysis end analyzes and marks the current request data as normal data and the simulation result signal of the simulation end shows that congestion is caused to the road traffic condition, the control end controls the traffic signal lamp according to the current request data.
When the request data is analyzed to be normal data but congestion is caused to the traffic, the request end may be in some emergency to perform remote adjustment and control on the traffic signal lamp.
The control end adjusts and controls the traffic signal lamp according to the request content of the current request data, but when congestion is caused to road traffic or the current request data is abnormal data, the system sends out an early warning signal by using the early warning end, and the early warning signal is sent to the request end along with the response data. When the traffic signal lamp is controlled according to the current request data, the request end needs to be informed whether the current request data is abnormal or traffic jam is caused, so that the request end can send out the request data in time and make adjustment to enable the road traffic to be recovered to be normal.
The first embodiment is as follows:
the current request time point of the request data is T08: 25, and the analysis end slave numberTime points of calling historical request data in the database form a historical request data time point set P ═ P1,P2,P3,...,Pn-08: 02,08:15,18:20, …,08:08}, said time analysis unit being adapted to determine a difference between a request time point T for current requested data and a time point in a set P of historical request data time points, and to determine a difference between said request time point T for current requested data and said time point T for historical requested data according to the following formula
And (3) calculating:
…
the current situation analysis unit monitors that the traffic flow of the current intersection is X-110, and the analysis end calls historical traffic flow data of the intersection each time when the intersection is controlled by a traffic signal lamp from a database to form a historical traffic flow data set Y-Y1,Y2,Y3,...,Yn100,105,98, …, 115, and the status analysis unit determines the intersection traffic flow X of the current request data as 110 and the traffic flow in the historical traffic flow data set Y according to the following formulaDifference of magnitude
And (3) calculating:
…
the analysis end is connected with an emergency vehicle navigation system and used for calling the navigation system of the emergency vehicle, the distance from a starting point to a certain intersection of the emergency vehicle is 1.5km, the average speed per hour of the emergency vehicle is 75km/h, and the time point of the emergency vehicle starting from the starting point is TGet up08: 23, the emergency analysis unit processes the time point T of the emergency vehicle reaching the intersection according to the following formulaTo achieveAnd (3) calculating:
Tto achieveT +/-c, indicating that the current request data is normal request data for the emergency vehicle to dredge the road intersection;
and the time analysis unit, the current situation analysis unit and the emergency analysis unit respectively analyze result signals and send the result signals to the control end.
The system utilizes the simulation end to perform simulation analysis on the current request data and judges whether the execution of the current request data can affect the current traffic.
Example two:
the simulation end comprises a model establishing unit, a coordinate system establishing unit, a traffic flow collecting unit and a congestion analyzing unit;
the model establishing unit is used for establishing a two-dimensional model of the urban road and performing simulation operation of current request data on the two-dimensional model, the coordinate system establishing unit is used for establishing a plane rectangular coordinate system on the two-dimensional model, the traffic flow collecting unit is used for collecting traffic flow data of each intersection in a time period when the traffic signal lamp indicates a traffic state, and the traffic flow collected by the traffic flow collecting unit is
The traffic flow collected by the traffic flow collecting unit is
The number of lanes at the intersection is HjThe traffic jam analysis unit calculates the waiting distance of vehicles between every two intersections according to the traffic flow when the traffic signal light indicates a communication state, so as to determine whether the traffic jam is caused, and further realize the simulation of the current request data.
The time length of the traffic signal lamp corresponding to each time of traffic flow data acquired by the traffic flow acquisition unit, which indicates the traffic state, is
The traffic flow acquisition unit is used for acquiring the traffic speed v of the jth intersection in a traffic state according to the following formulajCalculating;
Vj＝1.69。
calculating the average length d of each vehicle to be 7.5m by big data, wherein the length of each vehicle is the length of the vehicle plus the distance between the front and the back of the vehicle because the distance between the front and the back of the vehicle is considered, and the request data requests the traffic signal lamp passing state time length of the jth intersection to be ujThe time length of the traffic signal lamp passing state of the jth intersection is requested to be u when the request data is 50sj+1The coordinate system establishing unit establishes a rectangular plane coordinate system on the two-dimensional model, and the coordinate value of each intersection is (x) 36sj，yj) Forming a crossing coordinate value set W { (x)1,y1),(x2,y2),(x3,y3),...,(xm,ym) The congestion analysis unit is used for analyzing the linear distance between every two adjacent intersections according to the following formula
Calculating, wherein j represents the j th intersection, and j +1 represents the j +1 th intersection:
the congestion analysis unit waits for the total length of the vehicles at the j +1 th intersection according to the following formula
And (3) calculating:
In the later calculation, the length of the original waiting vehicle at the j +1 th intersection needs to be considered, because whether the length of the waiting vehicle is continuously increased or not needs to be considered, when the length of the waiting vehicle at the intersection is calculated, the fact that the adjustment and control of the traffic signal can be limited to one-time adjustment rather than long-time adjustment needs to be considered, the condition of one-time adjustment is simulated in the simulation process, if the adjustment times are multiple times, the length of the original waiting vehicle needs to be added, and then the distance between the j +1 th intersection and the j +1 th intersection is compared.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. Attack early warning analytic system based on big data, its characterized in that: the early warning analysis system comprises a request end for sending a control request, a control end for adjusting and controlling a traffic signal lamp and a traffic signal lamp for standardizing road traffic;
the request end sends request data to the control end, the control end is requested to adjust and control the traffic signal lamp, the control end sends a control signal to the traffic signal lamp in response to the request of the request data to adjust and control the traffic signal lamp, and the control end returns a response result to the request end in a form of response data;
the system also includes a database that stores various items of historical data.
2. The big-data-based attack early warning analysis system according to claim 1, wherein: the request data are analyzed through the analysis end, the analysis end sends an analysis result signal to the control end, and whether the request data are attacked by the attack end or not is analyzed.
3. The big-data-based attack early warning analysis system according to claim 2, wherein: the analysis end comprises a time analysis unit, a current situation analysis unit and an emergency analysis unit;
the time analysis unit is used for analyzing the request time of the request data so as to judge whether the data of the current time period requesting to regulate and control the traffic signal lamp is normal or not, the current situation analysis unit is used for analyzing the congestion condition of the current intersection so as to judge whether the data requesting to remotely regulate and control the traffic signal lamp is abnormal or not, and the emergency analysis unit is used for analyzing whether emergency vehicles need to pass on the current road or not so as to judge whether the data requesting to remotely regulate and control the traffic signal lamp is normal or not;
the time analysis unit sends the abnormal request data of the analysis mark to the current situation analysis unit, the current situation analysis unit sends the abnormal request data of the analysis mark to the emergency analysis unit, and the emergency analysis unit sends the analysis result to the control end.
4. The big-data-based attack early warning analysis system according to claim 3, wherein: the current request time point of the request data is T, the analysis end retrieves the time point of the historical request data from the database to form a historical request data time point set P ═ { P ═ P { (P)1,P2,P3,...,PnN represents n historical request data time points in the set P, and the time analysis unit carries out the difference between the request time point T of the current request data and the time point in the historical request data time point set P according to the following formulaValue of
And (3) calculating:
when in use
When the traffic signal lamp is in the normal time, the request time point T of the current request data belongs to the normal time point for remotely adjusting and controlling the traffic signal lamp;
when in use
The time analysis unit carries out abnormal marking on the current request data, wherein P is the time point T which indicates that the request time point of the current request data does not belong to the normal time point for carrying out remote regulation and control on the traffic signal lampiRepresenting the ith historical request data time point in the set P, and a representing the set time difference threshold;
the current situation analysis unit monitors that the traffic flow of the current intersection is X, and the analysis end calls historical traffic flow data of the intersection each time the intersection is controlled by a traffic signal lamp from a database to form a historical traffic flow data set Y ═ { Y ═ Y1,Y2,Y3,...,YnAnd the current situation analysis unit carries out analysis on the difference value between the intersection traffic flow X of the current request data and the traffic flow in the historical traffic flow data set Y according to the following formula
And (3) calculating:
when in use
When the traffic flow of the intersection of the current request data belongs to the traffic flow for remotely adjusting and controlling the traffic signal lamp;
when in use
When the current situation analysis unit detects that the intersection traffic flow of the current request data does not belong to the traffic flow for remotely adjusting and controlling the traffic signal lamp, the current situation analysis unit carries out abnormal marking on the current request data, wherein Y isiThe intersection traffic flow corresponding to the ith historical request data in the set Y is represented, and b represents a set traffic flow difference threshold value;
the analysis end is connected with an emergency vehicle navigation system and used for calling the navigation system of the emergency vehicle, the distance from a starting point to a certain intersection of the emergency vehicle is L, the average speed per hour of the emergency vehicle is V, and the time point when the emergency vehicle starts from the starting point is TGet upThe emergency analysis unit is used for analyzing the time point T when the emergency vehicle reaches the intersection according to the following formulaTo achieveAnd (3) calculating:
when T isTo achieveWhen T +/-c is obtained, the current request data is normal request data for the emergency vehicle to dredge the road intersection;
when T isTo achieveWhen the current request data is not used for the emergency vehicle to dredge the road intersection, the current request data is abnormal request data, and the emergency analysis unit marks the request data, wherein c represents a set fluctuation threshold value;
and the time analysis unit, the current situation analysis unit and the emergency analysis unit respectively analyze result signals and send the result signals to the control end.
5. The big-data-based attack early warning analysis system according to claim 4, wherein: the system utilizes the simulation end to perform simulation analysis on the current request data and judges whether the execution of the current request data can affect the current traffic.
6. The big-data-based attack early warning analysis system according to claim 5, wherein: the simulation end comprises a model establishing unit, a coordinate system establishing unit, a traffic flow collecting unit and a congestion analyzing unit;
the model establishing unit is used for establishing a two-dimensional model of the urban road and performing simulation operation of current request data on the two-dimensional model, the coordinate system establishing unit is used for establishing a plane rectangular coordinate system on the two-dimensional model, the traffic flow collecting unit is used for collecting traffic flow data of each intersection in a time period when the traffic signal lamp indicates a traffic state, and the traffic flow collected by the traffic flow collecting unit is
The number of lanes at the intersection is HjWherein j represents the jth intersection, i represents the ith passage of the jth intersection in the state that the traffic signal lamp indicates the passage, and the congestion analysis unit calculates the waiting distance of the vehicles between every two intersections according to the traffic flow when the traffic signal lamp indicates the communication state, so as to determine whether congestion is caused, and further realize the simulation of the current request data.
7. The big-data-based attack early warning analysis system according to claim 6, wherein: the time length of the traffic signal lamp corresponding to each time of traffic flow data acquired by the traffic flow acquisition unit, which indicates the traffic state, is
The traffic flow acquisition unit is used for acquiring the traffic speed v of the jth intersection in a traffic state according to the following formulajGo on to countCalculating;
8. the big-data-based attack early warning analysis system according to claim 7, wherein: calculating the average length of each vehicle as d through big data, wherein the request data requests the traffic signal lamp of the jth intersection to pass through the state of the time length as ujAfter the coordinate system establishing unit establishes the planar rectangular coordinate system on the two-dimensional model, the coordinate value of each intersection is (x)j，yj) Forming a crossing coordinate value set W { (x)1,y1),(x2,y2),(x3,y3),...,(xm,ym) The congestion analysis unit is used for analyzing the linear distance between every two adjacent intersections according to the following formula
Calculating, wherein j represents the j th intersection, and j +1 represents the j +1 th intersection:
the congestion analysis unit waits for the total length of the vehicles at the j +1 th intersection according to the following formula
And (3) calculating:
when in use
Time, indicates according to the current request numberTraffic jam can be caused at the j +1 th intersection according to the remote adjustment and control of the traffic signal lamp;
when in use
And in time, the traffic signal lamp remote regulation and control is carried out according to the current request data, so that traffic jam cannot be caused at the j +1 th intersection.
9. The big-data-based attack early warning analysis system according to claim 7, wherein: the simulation end sends the final simulation result signal to the control end, and the control end analyzes the simulation result signal sent by the simulation end and the analysis result signal sent by the analysis end;
when the analysis end analyzes and marks the current request data as abnormal data and the simulation result signal of the simulation end displays that congestion can be caused to road traffic, the control end does not control the traffic signal lamp according to the current request data;
when the analysis end analyzes and marks the current request data as abnormal data and the simulation result signal of the simulation end shows that congestion cannot be caused to the road traffic condition, the control end controls the traffic signal lamp according to the current request data;
when the analysis end analyzes and marks the current request data as normal data and the simulation result signal of the simulation end shows that congestion is caused to the road traffic condition, the control end controls the traffic signal lamp according to the current request data.
10. The big-data-based attack early warning analysis system according to claim 8, wherein: the control end adjusts and controls the traffic signal lamp according to the request content of the current request data, but when congestion is caused to road traffic or the current request data is abnormal data, the system sends out an early warning signal by using the early warning end, and the early warning signal is sent to the request end along with the response data.
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