CN116026355B - Automobile safety monitoring method and system - Google Patents
Automobile safety monitoring method and system Download PDFInfo
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Abstract
The invention relates to the technical field of automobile behavior analysis, and particularly discloses an automobile safety monitoring method and an automobile safety monitoring system, wherein the method comprises the steps of inquiring navigation information taking a gathering point as a destination, and determining a traffic model of each road section according to the navigation information; the passing model is a map set which is ordered according to time; positioning an abnormal vehicle according to the traffic model, and selecting target monitoring equipment according to a positioning result; and acquiring data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model, and determining the regional anomaly degree. According to the invention, the automobile is monitored in motion through the navigation information, the automobile signals are collected in real time through the signal monitoring equipment arranged outside, the regional abnormal value is determined by combining the collected automobile signals and the motion monitoring result, the prompt information is broadcasted according to the regional abnormal value, the automobile is managed from outside, and the safety is greatly improved by matching with the safety system of the automobile.
Description
Technical Field
The invention relates to the technical field of automobile behavior analysis, in particular to an automobile safety monitoring method and an automobile safety monitoring system.
Background
With the progress of science and technology and the development of society, the number of automobiles is gradually increased, the living convenience of residents is greatly improved, but the problems are also numerous, and the safety problem is one of the problems.
In the driving process, the running state of the vehicle may be abnormal due to fatigue of the driver or aging of the vehicle, and in this case, the driver and the passengers will be in dangerous states, which is very likely to cause irrecoverable results, so how to improve the safety in the running process of the vehicle is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide an automobile safety monitoring method and system, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a method of vehicle safety monitoring, the method comprising:
inquiring planning information corresponding to a preset monitoring area, and determining aggregation points containing aggregation degree according to the planning information;
inquiring navigation information taking an aggregation point as a destination based on the existing map service, and determining a traffic model of each road section according to the navigation information; the passing model is a map set which is ordered according to time;
positioning an abnormal vehicle according to the traffic model, and selecting target monitoring equipment according to a positioning result;
acquiring data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model, and determining regional anomaly degree;
the regional abnormality degree is used for representing abnormal distribution characteristics in a region with an abnormal vehicle as a center and a preset numerical value as a radius, and the abnormal distribution characteristics comprise abnormal positions and abnormal probabilities.
As a further scheme of the invention: the step of inquiring planning information corresponding to a preset monitoring area and determining the aggregation point containing the aggregation degree according to the planning information comprises the following steps:
inquiring road section information in a preset monitoring area, and determining a traversing sequence according to the road section information;
inquiring address information on each road section based on the traversing sequence, and determining an aggregation point table according to the address information; the aggregation point table comprises a name item and a position item;
sending a flow information inquiry request to each aggregation point, receiving flow information fed back by the aggregation point, and determining the aggregation degree according to the flow information;
inserting the aggregation degree into the aggregation point table.
As a further scheme of the invention: the step of inquiring navigation information taking the aggregation point as a destination based on the existing map service and determining a traffic model of each road section according to the navigation information comprises the following steps:
sending a permission acquisition request to a map server; when the map server receives the permission acquisition request, sending an permission request to a user, and receiving a permission instruction input by the user;
inquiring navigation information taking each aggregation point as a destination based on the acquired authority; the navigation information includes a vehicle position;
inserting the vehicle position into a template map corresponding to the monitoring area according to the navigation information to obtain an area map at each moment;
and arranging the regional maps according to the time sequence to obtain a traffic model.
As a further scheme of the invention: the step of locating the abnormal vehicle according to the traffic model and selecting the target monitoring equipment according to the locating result comprises the following steps:
reading a traffic model, carrying out logic operation on adjacent regional maps, and positioning a dynamic region;
identifying the dynamic region, selecting the contour of the vehicle, and acquiring the position of the vehicle;
calculating motion parameters of each vehicle contour according to the positions; the motion parameters include speed and acceleration;
and determining an abnormal vehicle according to the motion parameters, reading the position of the abnormal vehicle, and selecting target equipment from preset signal monitoring equipment according to the position of the abnormal vehicle.
As a further scheme of the invention: the step of acquiring the data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model, and determining the regional anomaly degree comprises the following steps:
acquiring a signal table acquired by target monitoring equipment; the signal table contains signal items and time items;
sequentially reading the regional map in the traffic model according to a preset backtracking step length, and reading the vehicle position in the regional map;
determining an influence table for the target monitoring device according to the vehicle position and the time of the regional map; the format of the influence table is the same as that of the signal table;
comparing the influence table with the signal table, and calculating the difference degree to obtain a difference degree array;
and determining the regional anomaly degree according to the difference degree array.
As a further scheme of the invention: the step of determining an influence table for the target monitoring device according to the vehicle position and the time of the regional map includes:
determining the influence weight of each vehicle position on target monitoring equipment according to a preset Gaussian distribution model;
calculating the distance between all vehicle positions and the target monitoring equipment;
generating an influence table for the target monitoring equipment according to the influence weight and the distance; the influence table includes a signal term and a time term.
The technical scheme of the invention also provides an automobile safety monitoring system, which comprises:
the aggregation point determining module is used for inquiring planning information corresponding to a preset monitoring area and determining aggregation points containing aggregation degree according to the planning information;
the traffic model building module is used for inquiring navigation information taking the aggregation point as a destination based on the existing map service and determining traffic models of all road sections according to the navigation information; the passing model is a map set which is ordered according to time;
the abnormal vehicle positioning module is used for positioning abnormal vehicles according to the traffic model and selecting target monitoring equipment according to a positioning result;
the comparison and identification module is used for acquiring the data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model and determining regional anomaly degree;
the regional abnormality degree is used for representing abnormal distribution characteristics in a region with an abnormal vehicle as a center and a preset numerical value as a radius, and the abnormal distribution characteristics comprise abnormal positions and abnormal probabilities.
As a further scheme of the invention: the aggregation point determination module includes:
the traversal sequence determining unit is used for inquiring the road section information in the preset monitoring area and determining the traversal sequence according to the road section information;
the gathering point table determining unit is used for inquiring the address information on each road section based on the traversing sequence and determining a gathering point table according to the address information; the aggregation point table comprises a name item and a position item;
the aggregation degree calculation unit is used for sending a flow information query request to each aggregation point, receiving flow information fed back by the aggregation point and determining the aggregation degree according to the flow information;
and the data statistics unit is used for inserting the aggregation degree into the aggregation point table.
As a further scheme of the invention: the traffic model building module comprises:
the right acquisition unit is used for sending a right acquisition request to the map server; when the map server receives the permission acquisition request, sending an permission request to a user, and receiving a permission instruction input by the user;
a navigation information acquisition unit configured to query navigation information destined for each aggregation point based on the acquired rights; the navigation information includes a vehicle position;
the regional map generating unit is used for inserting the vehicle position into the template map corresponding to the monitoring region according to the navigation information to obtain regional maps at all times;
and the map arrangement unit is used for arranging the regional maps according to the time sequence to obtain a traffic model.
As a further scheme of the invention: the abnormal vehicle positioning module includes:
the dynamic region selecting unit is used for reading the traffic model, carrying out logic operation on the adjacent region map and positioning the dynamic region;
the vehicle contour selecting unit is used for identifying the dynamic area, selecting the vehicle contour and acquiring the position of the vehicle contour;
a motion parameter calculation unit for calculating a motion parameter of each vehicle contour according to the position; the motion parameters include speed and acceleration;
and the target equipment selecting unit is used for determining an abnormal vehicle according to the motion parameters, reading the position of the abnormal vehicle and selecting target equipment from preset signal monitoring equipment according to the position of the abnormal vehicle.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the automobile is monitored in motion through the navigation information, the automobile signals are collected in real time through the signal monitoring equipment arranged outside, the regional abnormal value is determined by combining the collected automobile signals and the motion monitoring result, the prompt information is broadcasted according to the regional abnormal value, the automobile is managed from outside, and the safety is greatly improved by matching with the safety system of the automobile.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart of a method for monitoring safety of an automobile.
Fig. 2 is a first sub-flowchart of the car safety monitoring method.
Fig. 3 is a second sub-flowchart of the method for monitoring the safety of a vehicle.
Fig. 4 is a third sub-flowchart of the car safety monitoring method.
Fig. 5 is a fourth sub-flowchart of the car safety monitoring method.
Fig. 6 is a block diagram of the constituent structure of the automobile safety monitoring system.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a flow chart of an automobile safety monitoring method, and in an embodiment of the invention, an automobile safety monitoring method includes:
step S100: inquiring planning information corresponding to a preset monitoring area, and determining aggregation points containing aggregation degree according to the planning information;
the technical scheme of the invention is used for monitoring the automobiles in a certain area, wherein the certain area is the monitoring area, the planning information of the monitoring area is obtained, and the planning information is analyzed to determine the aggregation point containing the aggregation degree; the aggregation point refers to a place, such as a mall, a district and the like, and the aggregation degree is used for representing the people flow of the place.
Step S200: inquiring navigation information taking an aggregation point as a destination based on the existing map service, and determining a traffic model of each road section according to the navigation information; the passing model is a map set which is ordered according to time;
the premise of acquiring the navigation information is that the navigation information has corresponding permission, a permission acquisition request is sent to a map service side, the map service side informs a user, the user decides whether to give permission, and when the permission given by the user is received, an executive side of the method can acquire the navigation information, can easily count the vehicle positions at all moments according to the navigation information of all the users, and can acquire a traffic model by combining the map of a monitoring area, wherein the traffic model is a map set.
Step S300: positioning an abnormal vehicle according to the traffic model, and selecting target monitoring equipment according to a positioning result;
analyzing the traffic model to obtain some vehicles possibly having abnormal phenomena, namely abnormal vehicles; selecting the nearest signal monitoring equipment according to the positioned abnormal vehicle, namely target monitoring equipment; the signal monitoring equipment is preset to be installed on each road section and belongs to existing equipment.
Step S400: acquiring data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model, and determining regional anomaly degree;
and acquiring data acquired by the target monitoring equipment, and performing comparison analysis on the acquired data to judge whether the whole area is abnormal or not, wherein the abnormality is represented by the parameter of the regional abnormality degree.
Specifically, the regional abnormality degree is used for representing abnormal distribution characteristics in a region with a preset numerical value as a radius by taking an abnormal vehicle as a center, and the abnormal distribution characteristics comprise abnormal positions and abnormal probabilities; the regional anomaly may be a matrix in which the number of rows and columns of elements is used to represent the location and the values of the elements in the matrix are used to represent the anomaly probability.
When the regional abnormality degree reaches a preset abnormality degree threshold, an executive party of the method can broadcast prompt information through a broadcast channel to remind a driver to improve the attention.
Fig. 2 is a first sub-flowchart of an automobile safety monitoring method, wherein the step of querying planning information corresponding to a preset monitoring area and determining an aggregation point containing an aggregation degree according to the planning information includes:
step S101: inquiring road section information in a preset monitoring area, and determining a traversing sequence according to the road section information;
step S102: inquiring address information on each road section based on the traversing sequence, and determining an aggregation point table according to the address information; the aggregation point table comprises a name item and a position item;
the monitoring area generally corresponds to the actual area, and road segment information corresponding to the actual road segments is queried in the monitoring area, wherein the road segment information represents a possible passing mode, so that different places are numbered by taking the road segment information as a reference to obtain a gathering point table.
Step S103: sending a flow information inquiry request to each aggregation point, receiving flow information fed back by the aggregation point, and determining the aggregation degree according to the flow information;
step S104: inserting the aggregation degree into the aggregation point table;
with the popularization of intelligent entrance guard technology, an entrance guard end is arranged in most places, people flow information at the gathering points can be counted by the entrance guard end, flow information inquiry requests are sent to all the gathering points, if the manager of the gathering points agrees, flow information fed back by the gathering points can be received, analysis is carried out on the flow information, and the flow information can be converted into gathering degree; and after the aggregation degree is generated, inserting the aggregation point table, and storing the aggregation point table as a new item.
Fig. 3 is a second sub-flowchart of the method for monitoring the safety of the automobile, wherein the steps of inquiring navigation information with a gathering point as a destination based on the existing map service and determining a traffic model of each road section according to the navigation information include:
step S201: sending a permission acquisition request to a map server; when the map server receives the permission acquisition request, sending an permission request to a user, and receiving a permission instruction input by the user;
step S201 is a rights acquisition process, which is a necessary scheme, and if no rights are provided, all subsequent steps cannot be performed; the step of obtaining the permission comprises two steps, namely, the execution main body of the method obtains the permission provided by the map server, and the map server obtains the permission of the user, which are indispensable.
Step S202: inquiring navigation information taking each aggregation point as a destination based on the acquired authority; the navigation information includes a vehicle position;
on the premise of having authority, inquiring the navigation information taking each aggregation point as a target place to obtain a navigation information group, wherein the navigation information group takes the aggregation points as indexes, and the navigation information in the navigation information group contains user labels.
Step S203: inserting the vehicle position into a template map corresponding to the monitoring area according to the navigation information to obtain an area map at each moment;
the navigation information contains vehicle positions, and all vehicle positions at each moment are counted based on a preset template map, so that an area map with time as an index can be obtained.
Step S204: arranging the regional maps according to the time sequence to obtain a traffic model;
and arranging the regional maps according to the time sequence to obtain a map set, which is called a traffic model.
FIG. 4 is a third sub-flowchart of the method for monitoring the safety of an automobile, wherein the steps for locating an abnormal vehicle according to the traffic model and selecting a target monitoring device according to the locating result include:
step S301: reading a traffic model, carrying out logic operation on adjacent regional maps, and positioning a dynamic region;
and reading the traffic model, and carrying out logic operation on adjacent regional maps in the traffic model to locate the changed region, namely a dynamic region.
Step S302: identifying the dynamic region, selecting the contour of the vehicle, and acquiring the position of the vehicle;
the dynamic region is subjected to contour recognition based on the prior art, then the dynamic region is compared with the existing vehicle contour, the vehicle contour can be selected from the contour recognition result, and after the vehicle contour is selected, representative points are determined according to the distribution condition of pixel points in the vehicle contour and used as the positions of the vehicle contour; the representative point selected may not be unique, and may be a position that can represent the contour.
Step S303: calculating motion parameters of each vehicle contour according to the positions; the motion parameters include speed and acceleration;
the movement speed and the movement acceleration of the vehicle are calculated from the position of the vehicle contour, which are called movement parameters of the vehicle.
Step S304: determining an abnormal vehicle according to the motion parameters, reading the position of the abnormal vehicle, and selecting target equipment from preset signal monitoring equipment according to the position of the abnormal vehicle;
analyzing the motion parameters based on a preset recognition rule, and selecting vehicles possibly having abnormality from the vehicle contour, which are called abnormal vehicles; reading the position of an abnormal vehicle, and selecting target equipment from preset signal monitoring equipment according to the position of the abnormal vehicle; in general, the selection rule is nearest; of course, there are other selection rules, for example, a sufficient distance is needed to make propagation differences of different signals more obvious, and at this time, the selection rules are set based on a certain distance range.
Fig. 5 is a fourth sub-flowchart of the method for monitoring the safety of the automobile, wherein the steps of obtaining the data collected by the target monitoring device, comparing and identifying the collected data based on the traffic model, and determining the regional anomaly degree include:
step S401: acquiring a signal table acquired by target monitoring equipment; the signal table contains signal items and time items;
the target monitoring equipment is equipment provided by an executive party of the method, and a connecting channel between the target monitoring equipment and the equipment is established when the equipment is installed; the target monitoring equipment is provided with a signal monitor for monitoring signals sent by the automobile; one of the signal monitors is a wireless signal monitor, and the corresponding monitored signal is a wireless signal generated by an automobile; after the target monitoring equipment acquires the information, the information is recorded, so that a signal table is obtained, the signal table contains signal items and time items, and an executive party of the method can acquire the corresponding signal table according to the established connecting channel.
Step S402: sequentially reading the regional map in the traffic model according to a preset backtracking step length, and reading the vehicle position in the regional map;
the backtracking step length is a time step length, such as 30 seconds, 1 minute, 5 minutes or other time, the regional map at each moment under the backtracking step length is sequentially read, and the vehicle position in the regional map is acquired.
Step S403: determining an influence table for the target monitoring device according to the vehicle position and the time of the regional map; the format of the influence table is the same as that of the signal table;
the propagation distance can be calculated from the vehicle position and the position of the object monitoring device, the propagation time can be calculated from the propagation distance and the signal propagation characteristics (known data, previously determined by the signal emitting module of the vehicle), and the signal item and the time item can be generated from the propagation time and the signal propagation characteristics, resulting in the influence table.
Step S404: comparing the influence table with the signal table, and calculating the difference degree to obtain a difference degree array;
and intercepting a sub-table from a signal table according to the moment when the regional map is read, wherein the sub-table corresponds to the influence table.
Comparing the influence table with the sub-table, and calculating the difference; the comparison process is a comparison process of theoretical conditions and actual conditions, the sub-table corresponds to actual signal distribution characteristics, the influence table corresponds to theoretical signal distribution characteristics, and a difference degree can be calculated by comparing the two signal distribution characteristics; the regional map at each moment corresponds to a difference degree, all the difference degrees are counted, difference features (statistical data such as mean value and variance) are determined, and whether the region is abnormal or not is judged according to the difference features.
Step S405: determining regional anomaly according to the difference array;
generally, the closer the theory is to the reality, the lower the region abnormality.
As a preferred embodiment of the present invention, the step of determining the influence table for the target monitoring device according to the vehicle position and the time of the area map includes:
determining the influence weight of each vehicle position on target monitoring equipment according to a preset Gaussian distribution model;
calculating the distance between all vehicle positions and the target monitoring equipment;
generating an influence table for the target monitoring equipment according to the influence weight and the distance; the influence table includes a signal term and a time term.
The above-mentioned contents define the generation process of the influence table, and attenuation factors are introduced through a gaussian distribution model, that is, signals generated by each vehicle position are corrected through influence weights, and the corrected signals are superimposed to obtain signal items in the influence table.
In the process, the farther the distance is, the smaller the influence weight is based on the characteristics of the Gaussian distribution model, and the signal generated by the vehicle is corrected by the influence weight, so that the attenuation process can be represented.
Fig. 6 is a block diagram of the composition and structure of an automobile safety monitoring system, in which the system 10 includes:
the aggregation point determining module 11 is configured to query planning information corresponding to a preset monitoring area, and determine an aggregation point containing an aggregation degree according to the planning information;
the traffic model building module 12 is configured to query navigation information with an aggregation point as a destination based on an existing map service, and determine a traffic model of each road section according to the navigation information; the passing model is a map set which is ordered according to time;
the abnormal vehicle positioning module 13 is used for positioning abnormal vehicles according to the traffic model and selecting target monitoring equipment according to a positioning result;
the comparison and identification module 14 is used for acquiring the data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model, and determining the regional anomaly degree;
the regional abnormality degree is used for representing abnormal distribution characteristics in a region with an abnormal vehicle as a center and a preset numerical value as a radius, and the abnormal distribution characteristics comprise abnormal positions and abnormal probabilities.
The aggregation point determining module 11 includes:
the traversal sequence determining unit is used for inquiring the road section information in the preset monitoring area and determining the traversal sequence according to the road section information;
the gathering point table determining unit is used for inquiring the address information on each road section based on the traversing sequence and determining a gathering point table according to the address information; the aggregation point table comprises a name item and a position item;
the aggregation degree calculation unit is used for sending a flow information query request to each aggregation point, receiving flow information fed back by the aggregation point and determining the aggregation degree according to the flow information;
and the data statistics unit is used for inserting the aggregation degree into the aggregation point table.
The traffic model building module 12 includes:
the right acquisition unit is used for sending a right acquisition request to the map server; when the map server receives the permission acquisition request, sending an permission request to a user, and receiving a permission instruction input by the user;
a navigation information acquisition unit configured to query navigation information destined for each aggregation point based on the acquired rights; the navigation information includes a vehicle position;
the regional map generating unit is used for inserting the vehicle position into the template map corresponding to the monitoring region according to the navigation information to obtain regional maps at all times;
and the map arrangement unit is used for arranging the regional maps according to the time sequence to obtain a traffic model.
The abnormal vehicle positioning module 13 includes:
the dynamic region selecting unit is used for reading the traffic model, carrying out logic operation on the adjacent region map and positioning the dynamic region;
the vehicle contour selecting unit is used for identifying the dynamic area, selecting the vehicle contour and acquiring the position of the vehicle contour;
a motion parameter calculation unit for calculating a motion parameter of each vehicle contour according to the position; the motion parameters include speed and acceleration;
and the target equipment selecting unit is used for determining an abnormal vehicle according to the motion parameters, reading the position of the abnormal vehicle and selecting target equipment from preset signal monitoring equipment according to the position of the abnormal vehicle.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (6)
1. A method for monitoring safety of an automobile, the method comprising:
inquiring planning information corresponding to a preset monitoring area, and determining aggregation points containing aggregation degree according to the planning information;
inquiring navigation information taking an aggregation point as a destination based on the existing map service, and determining a traffic model of each road section according to the navigation information; the passing model is a map set which is ordered according to time;
positioning an abnormal vehicle according to the traffic model, and selecting target monitoring equipment according to a positioning result;
acquiring data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model, and determining regional anomaly degree;
the regional abnormality degree is used for representing abnormal distribution characteristics in a region with a preset numerical value as a radius by taking an abnormal vehicle as a center, and the abnormal distribution characteristics comprise abnormal positions and abnormal probabilities;
the step of inquiring navigation information taking the aggregation point as a destination based on the existing map service and determining a traffic model of each road section according to the navigation information comprises the following steps:
sending a permission acquisition request to a map server; when the map server receives the permission acquisition request, sending an permission request to a user, and receiving a permission instruction input by the user;
inquiring navigation information taking each aggregation point as a destination based on the acquired authority; the navigation information includes a vehicle position;
inserting the vehicle position into a template map corresponding to the monitoring area according to the navigation information to obtain an area map at each moment;
arranging the regional maps according to the time sequence to obtain a traffic model;
the step of locating the abnormal vehicle according to the traffic model and selecting the target monitoring equipment according to the locating result comprises the following steps:
reading a traffic model, carrying out logic operation on adjacent regional maps, and positioning a dynamic region;
identifying the dynamic region, selecting the contour of the vehicle, and acquiring the position of the vehicle;
calculating motion parameters of each vehicle contour according to the positions; the motion parameters include speed and acceleration;
and determining an abnormal vehicle according to the motion parameters, reading the position of the abnormal vehicle, and selecting target equipment from preset signal monitoring equipment according to the position of the abnormal vehicle.
2. The method for monitoring the safety of an automobile according to claim 1, wherein the step of inquiring the planning information corresponding to the preset monitoring area and determining the aggregation point containing the aggregation level according to the planning information comprises the steps of:
inquiring road section information in a preset monitoring area, and determining a traversing sequence according to the road section information;
inquiring address information on each road section based on the traversing sequence, and determining an aggregation point table according to the address information; the aggregation point table comprises a name item and a position item;
sending a flow information inquiry request to each aggregation point, receiving flow information fed back by the aggregation point, and determining the aggregation degree according to the flow information;
inserting the aggregation degree into the aggregation point table.
3. The method for monitoring the safety of an automobile according to claim 1, wherein the step of acquiring the data collected by the target monitoring device, comparing and identifying the collected data based on the traffic model, and determining the regional anomaly degree comprises:
acquiring a signal table acquired by target monitoring equipment; the signal table contains signal items and time items;
sequentially reading the regional map in the traffic model according to a preset backtracking step length, and reading the vehicle position in the regional map;
determining an influence table for the target monitoring device according to the vehicle position and the time of the regional map; the format of the influence table is the same as that of the signal table;
comparing the influence table with the signal table, and calculating the difference degree to obtain a difference degree array;
and determining the regional anomaly degree according to the difference degree array.
4. A car safety monitoring method according to claim 3, wherein the step of determining an influence table for the target monitoring device from the vehicle position and the time of the area map comprises:
determining the influence weight of each vehicle position on target monitoring equipment according to a preset Gaussian distribution model;
calculating the distance between all vehicle positions and the target monitoring equipment;
generating an influence table for the target monitoring equipment according to the influence weight and the distance; the influence table includes a signal term and a time term.
5. An automotive safety monitoring system, the system comprising:
the aggregation point determining module is used for inquiring planning information corresponding to a preset monitoring area and determining aggregation points containing aggregation degree according to the planning information;
the traffic model building module is used for inquiring navigation information taking the aggregation point as a destination based on the existing map service and determining traffic models of all road sections according to the navigation information; the passing model is a map set which is ordered according to time;
the abnormal vehicle positioning module is used for positioning abnormal vehicles according to the traffic model and selecting target monitoring equipment according to a positioning result;
the comparison and identification module is used for acquiring the data acquired by the target monitoring equipment, comparing and identifying the acquired data based on the traffic model and determining regional anomaly degree;
the regional abnormality degree is used for representing abnormal distribution characteristics in a region with a preset numerical value as a radius by taking an abnormal vehicle as a center, and the abnormal distribution characteristics comprise abnormal positions and abnormal probabilities;
the traffic model building module comprises:
the right acquisition unit is used for sending a right acquisition request to the map server; when the map server receives the permission acquisition request, sending an permission request to a user, and receiving a permission instruction input by the user;
a navigation information acquisition unit configured to query navigation information destined for each aggregation point based on the acquired rights; the navigation information includes a vehicle position;
the regional map generating unit is used for inserting the vehicle position into the template map corresponding to the monitoring region according to the navigation information to obtain regional maps at all times;
the map arrangement unit is used for arranging the regional maps according to the time sequence to obtain a traffic model;
the abnormal vehicle positioning module includes:
the dynamic region selecting unit is used for reading the traffic model, carrying out logic operation on the adjacent region map and positioning the dynamic region;
the vehicle contour selecting unit is used for identifying the dynamic area, selecting the vehicle contour and acquiring the position of the vehicle contour;
a motion parameter calculation unit for calculating a motion parameter of each vehicle contour according to the position; the motion parameters include speed and acceleration;
and the target equipment selecting unit is used for determining an abnormal vehicle according to the motion parameters, reading the position of the abnormal vehicle and selecting target equipment from preset signal monitoring equipment according to the position of the abnormal vehicle.
6. The automotive safety monitoring system of claim 5, wherein the aggregation point determination module comprises:
the traversal sequence determining unit is used for inquiring the road section information in the preset monitoring area and determining the traversal sequence according to the road section information;
the gathering point table determining unit is used for inquiring the address information on each road section based on the traversing sequence and determining a gathering point table according to the address information; the aggregation point table comprises a name item and a position item;
the aggregation degree calculation unit is used for sending a flow information query request to each aggregation point, receiving flow information fed back by the aggregation point and determining the aggregation degree according to the flow information;
and the data statistics unit is used for inserting the aggregation degree into the aggregation point table.
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