CN111383445A - System and method for realizing data inspection control of urban traffic intersection - Google Patents
System and method for realizing data inspection control of urban traffic intersection Download PDFInfo
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- CN111383445A CN111383445A CN201811620800.8A CN201811620800A CN111383445A CN 111383445 A CN111383445 A CN 111383445A CN 201811620800 A CN201811620800 A CN 201811620800A CN 111383445 A CN111383445 A CN 111383445A
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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
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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
Abstract
The invention relates to a system for realizing data inspection control of an urban traffic intersection, which comprises a bayonet, flow and electric alarm equipment, a database and a data processing system, wherein the bayonet, the flow and electric alarm equipment is used for capturing and summarizing basic flow data and storing the data into the database; the traffic passing database module is connected with the bayonet, the flow and the electric alarm equipment and is used for regularly summarizing various types of data flow; the big data program module is connected with the vehicle passing database and used for judging the data state of the equipment according to the routing inspection parameter threshold value configured by the user to obtain evaluation; and the operation and maintenance database module is connected with the big data program module and is used for storing summarized data. The invention also relates to a method for realizing the data inspection control of the urban traffic intersection. By adopting the system and the method for realizing the data inspection control of the urban traffic intersection, the daily inspection can find the abnormality which can not be monitored by the equipment hardware, so that the maintenance of the equipment is directly initiated on a page, the early warning can be realized by observing the change trend of the data quantity, the inspection mode before the online inspection is that each equipment is manually inspected one by one, only the equipment which is not normally evaluated needs to be inspected after the online inspection, and the manual operation and maintenance time is shortened by eighty percent.
Description
Technical Field
The invention relates to the field of intelligent traffic, in particular to the field of data monitoring of traffic intersections in the field of intelligent traffic, and specifically relates to a system and a method for realizing data inspection control of urban traffic intersections.
Background
With increasing and complicated urban traffic flow, the requirement for daily operation maintenance monitoring of three devices, namely a bayonet device, a flow device and an electric alarm device, in an urban intersection is improved, the traditional hardware level monitoring cannot completely cover the actual device operation and maintenance condition, and the device hardware level monitoring cannot provide real-time reporting for the abnormal change of the device data volume, so that the change of the device snapshot data volume needs to be concerned at the same time to assist in judging the state of the device, and for the judgment standard of the data abnormality, a user can make the judgment of different flow intervals of the same device more accurate through self-defining a threshold value, thereby reducing the daily inspection workload of operation and maintenance personnel. The device flow page that patrols and examines out every day provides data query, trend, contrast, statistical function, makes things convenient for the visual data of patrolling and examining of operation and maintenance personnel.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a system and a method for realizing data inspection control of urban traffic intersections, which meet the requirements of extraction early warning, shortened operation and maintenance time and wider application range.
In order to achieve the purpose, the system and the method for realizing the data patrol control of the urban traffic intersection are as follows:
the system for realizing the data inspection control of the urban traffic intersection is mainly characterized by comprising the following components:
the bayonet, the flow and electric alarm device is used for capturing and summarizing flow basic data and storing the data into a database;
the traffic passing database module is connected with the bayonet, the flow and the electric alarm equipment and is used for regularly summarizing various types of data flow;
the big data program module is connected with the vehicle passing database and used for judging the data state of the equipment according to the routing inspection parameter threshold value configured by the user to obtain evaluation;
and the operation and maintenance database module is connected with the big data program module and is used for storing summarized data.
Preferably, the bayonet, the flow and the electric alarm equipment gather flow basic data according to the type of the equipment to be inspected.
Preferably, the type of equipment for inspection includes lane and time.
Preferably, the inspection parameter threshold in the big data program module comprises a bayonet, a bayonet lane, a violation and a flow rate.
Preferably, the evaluation in the big data program module comprises a bayonet evaluation, a bayonet lane evaluation, an illegal evaluation and a flow evaluation.
The method for realizing the data inspection control of the urban traffic intersection based on the system is mainly characterized by comprising the following steps:
(1) collecting the snapping and vehicle passing records of the bayonet, the flow and the electric alarm equipment and storing the gathered snapping and vehicle passing records into the operation and maintenance database;
(2) modifying and expanding the interval according to a preset threshold value of default configuration of the system;
(3) the big data program module is used for calculating to obtain inspection evaluation of each device according to a preset threshold value of a user and by combining each data volume interval;
(4) and inquiring, counting and comparing the inspection result data.
Preferably, the configuring the preset threshold in step (2) specifically includes the following steps:
and (2.1) checking the union and the continuity of the device data volume intervals.
Preferably, the intervals are continuous.
Preferably, the routing inspection evaluation calculation in the step (3) specifically includes the following steps:
(3.1) dividing the inspection results;
and (3.2) counting the normal equipment flow in the past 60 days, and calculating the average flow.
Preferably, the inspection result is divided into to-be-evaluated, normal, warning and abnormal.
Preferably, the calculating of the inspection evaluation in the step (3) further includes an operation step of manual repair evaluation:
and (1-3) adjusting the calculation result of the average flow and the judgment result of the inspection result according to the accuracy of the actual inspection result.
By adopting the system and the method for realizing the data inspection control of the urban traffic intersection, the daily inspection can find the abnormality which can not be monitored by the equipment hardware, so that the maintenance of the equipment is directly initiated on a page, the early warning can be realized by observing the change trend of the data volume, the inspection mode before the online inspection is that each equipment is manually inspected one by one, only the equipment which is not normally evaluated needs to be inspected after the online inspection, and the manual operation and maintenance time is shortened by eighty percent.
Drawings
Fig. 1 is a general architecture diagram of the system for implementing data inspection control at an urban traffic intersection according to the present invention.
Fig. 2 is a service flow chart of the method for realizing data patrol control at an urban traffic intersection according to the present invention.
Fig. 3 is a flowchart of an embodiment of routing inspection result determination of the method for realizing data routing inspection control at an urban traffic intersection according to the present invention.
Fig. 4 is a flowchart of a patrol threshold value verification method of the method for realizing data patrol control at an urban traffic intersection according to the present invention.
Fig. 5 is a flow chart of data inspection calculation and evaluation of the method for realizing data inspection control at the urban traffic intersection.
Fig. 6 is a result page diagram of the gate polling of the system and method for realizing the data polling control of the urban traffic intersection according to the invention.
Fig. 7 is a result page diagram of illegal inspection by the system and method for realizing urban traffic intersection data inspection control according to the present invention.
Fig. 8 is a page diagram of the result of flow inspection of the system and method for realizing data inspection control at an urban traffic intersection according to the present invention.
Fig. 9 is a customized threshold page diagram of each device type of the system and method for realizing data inspection control at an urban traffic intersection according to the present invention.
Reference numerals:
ss local zone start value
End of section value of Se book
Lower warning limit of Wd
Wu Upper warning Limit
Lower bound of Ed anomaly
Upper limit of Eu anomaly
Data volume of X device in current day
Xs self-defined inspection threshold interval
Days with continuous data volume of 0 for Cd equipment
Maximum outlier of Me
Minimum outlier of Mie
Maximum warning value of Mw
Miw minimum warning value
Detailed Description
In order to more clearly describe the technical contents of the present invention, the following further description is given in conjunction with specific embodiments.
This system for realizing urban traffic crossing data inspection control, wherein, the system include:
the bayonet, the flow and electric alarm device is used for capturing and summarizing flow basic data and storing the data into a database;
the traffic passing database module is connected with the bayonet, the flow and the electric alarm equipment and is used for regularly summarizing various types of data flow;
the big data program module is connected with the vehicle passing database and used for judging the data state of the equipment according to the routing inspection parameter threshold value configured by the user to obtain evaluation;
and the operation and maintenance database module is connected with the big data program module and is used for storing summarized data.
As a preferred embodiment of the present invention, the bayonet, the flow and the electric alarm device summarize flow basic data according to the type of the equipment to be inspected.
As a preferred embodiment of the present invention, the types of the inspection equipment include a lane and time.
In a preferred embodiment of the present invention, the inspection parameter threshold in the big data program module includes a bayonet, a bayonet lane, an illegal action and a flow rate.
As a preferred embodiment of the invention, the evaluation in the big data program module comprises a bayonet evaluation, a bayonet lane evaluation, a violation evaluation and a flow rate evaluation.
The method for realizing the data inspection control of the urban traffic intersection based on the system comprises the following steps:
(1) collecting the snapping and vehicle passing records of the bayonet, the flow and the electric alarm equipment and storing the gathered snapping and vehicle passing records into the operation and maintenance database;
(2) modifying and expanding the interval according to a preset threshold value of default configuration of the system;
(2.1) checking the union and the continuity of the equipment data volume intervals;
(3) the big data program module is used for calculating to obtain inspection evaluation of each device according to a preset threshold value of a user and by combining each data volume interval;
(3.1) dividing the inspection results;
(3.2) counting the normal equipment flow in the past 60 days, and calculating the average flow;
and (1-3) adjusting the calculation result of the average flow and the judgment result of the inspection result according to the accuracy of the actual inspection result.
(4) And inquiring, counting and comparing the inspection result data.
As a preferred embodiment of the present invention, the configuring the preset threshold in step (2) specifically includes the following steps:
and (2.1) checking the union and the continuity of the device data volume intervals.
In a preferred embodiment of the present invention, the above-mentioned intervals are continuous.
As a preferred embodiment of the present invention, the inspection result is divided into to-be-evaluated, normal, warning, and abnormal.
In the specific implementation mode of the invention, the invention provides support of data inspection in the daily operation and maintenance of the traffic equipment, such as the traffic gate, the electric police and the flow equipment of the urban road, so as to assist in judging the quality of the equipment and provide query, statistics and comparison of historical data.
Configuring a custom routing inspection threshold: in data routing inspection, the threshold value is often changed along with the change of urban traffic flow, more fine configuration is needed, and the configuration and verification functions of the threshold value are indispensable;
a big data platform: because the snapshot data volume of a city or a parcel is massive, how to summarize the desired data from the massive data and ensure the performance needs to build an Es big data platform;
evaluation algorithm: and evaluating whether the snapshot data volume of a device in a specified date is normal.
The general architecture of the system is shown in fig. 1. The business flow of the system is shown in fig. 2.
The system mainly comprises four parts, namely big data gathering, operation and maintenance gathering, custom threshold configuration and page operation.
Big data summarization: a large data platform is used for gathering massive equipment snapshot and vehicle passing records and storing the gathered records into a specified operation and maintenance database;
and (4) operation and maintenance summarization: according to a threshold value defined by a user, different comparison algorithms are adopted in combination with each data volume interval, and inspection evaluation of each device is obtained;
self-defining threshold configuration: the system can provide a set of abnormal and warning threshold value configuration of each type of equipment by default, a user can modify and expand an interval in a user-defined manner, and the threshold value is a main basis for judgment;
page operation: inquiring, counting and comparing the inspection result data;
the traffic gate flow data monitoring and inspection evaluation algorithm comprises the following steps:
the calculation method mainly comprises two parts, wherein one part is a self-defined threshold value verification algorithm and a data inspection result algorithm.
Self-defining a threshold value:
1. checking the union and continuity of the device data volume intervals (0 to infinity and no repetition interval);
2. if the warning threshold type is consistent with the abnormal threshold type in the same rule interval, the abnormal minimum (warning minimum) and the warning maximum (warning maximum) are abnormal maximum;
3. the interval must be continuous, can split the interval;
4. the two formats of percentage and fixed value can be filled, the upper limit value and the lower limit value can be filled in a combined mode, and the upper rule, the lower rule and the boundary value can be automatically verified;
and (3) calculating a routing inspection result:
1. the inspection result is divided into to-be-evaluated (average flow cannot be counted or the number of statistical samples is too small, the evaluation needs to be corrected manually and is normal by default), normal, warning and abnormal;
2. average flow calculation (statistics of normal device flow over the past 60 days, no evaluation below 7 days)
3. The artificial restoration evaluation can be carried out (the algorithm of average flow and the judgment of the inspection result can be adjusted according to the accuracy of the actual inspection result);
4. FIG. 3 is a flow chart illustrating the determination of the inspection result
The detailed flow of algorithm programming is as follows:
1. threshold verification
2. Data routing inspection calculation
Firstly, a big data cluster platform is built, and equipment needing to be patrolled and examined is classified and summarized.
The three devices of the bayonet, the flow and the electric police are gathered at regular time every day, and the total amount of data (two billions of data volume) stored by the devices through snapshot is too large, so that the snapshot amount of each device in one day is gathered at regular time every day by a large data platform and is stored in a specified operation and maintenance database;
the scala core statement that the cluster queries from oracle is as follows:
and secondly, calculating the routing inspection evaluation of various devices at regular time.
Based on a result table of big data summarization, and in combination with a device data threshold set by a user, regularly calculating data polling evaluation of each device on a specified date (the date is an incoming parameter), and storing the data polling evaluation into an evaluation database of each device, wherein the following formula is used, and the definition of the parameter can refer to a detailed algorithm in the prior art:
xs: a user self-defines an interval of the routing inspection threshold, for example, if the interval is 100-500, the current day flow of the equipment falls in the interval, and then the routing inspection algorithm of the interval is applied;
x: data traffic of equipment warehousing on the same day, such as the specific number of electronic police equipment in a snapshot on a certain day;
me: setting the maximum abnormal value to be 1000 for the equipment with the maximum abnormal value, such as the equipment falling in an interval of 100-500, and representing that the daily flow of the equipment is more than 1000 as data abnormality;
mie: minimum outlier, rule same maximum outlier;
mw: maximum warning value, rule as above;
miw: minimum warning value, rule is as above.
And thirdly, operating the inspection page.
The patrol page comprises inquiry of each equipment type on patrol result information, thinning to a lane for a bayonet equipment, configuration of each type of patrol threshold value, maintenance initiation of equipment with abnormal evaluation, and inquiry of historical patrol data volume.
By adopting the system and the method for realizing the data inspection control of the urban traffic intersection, the daily inspection can find the abnormality which can not be monitored by the equipment hardware, so that the maintenance of the equipment is directly initiated on a page, the early warning can be realized by observing the change trend of the data quantity, the inspection mode before the online inspection is that each equipment is manually inspected one by one, only the equipment which is not normally evaluated needs to be inspected after the online inspection, and the manual operation and maintenance time is shortened by eighty percent.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (11)
1. The utility model provides a system for realize that urban traffic crossing data patrols and examines control which characterized in that, the system include:
the bayonet, the flow and electric alarm device is used for capturing and summarizing flow basic data and storing the data into a database;
the traffic passing database module is connected with the bayonet, the flow and the electric alarm equipment and is used for regularly summarizing various types of data flow;
the big data program module is connected with the vehicle passing database and used for judging the data state of the equipment according to the routing inspection parameter threshold value configured by the user to obtain evaluation;
and the operation and maintenance database module is connected with the big data program module and is used for storing summarized data.
2. The system for realizing data inspection control at an urban traffic intersection according to claim 1, wherein the bayonet, the flow and electric alarm equipment collects basic flow data according to the type of the inspection equipment.
3. The system for implementing data inspection tour control at urban traffic intersection according to claim 2, wherein the types of equipment for inspection tour include lane and time.
4. The system for realizing data inspection control at an urban traffic intersection according to claim 1, wherein the inspection parameter thresholds in the big data program module comprise a bayonet, a bayonet lane, an illegal action and a flow.
5. The system for realizing data inspection control at an urban traffic intersection according to claim 1, wherein the evaluations in the big data program module include a bayonet evaluation, a bayonet lane evaluation, an illegal evaluation and a flow evaluation.
6. A method for implementing data patrol control at an urban traffic intersection based on the system of claim 1, characterized in that the method comprises the following steps:
(1) collecting the snapping and vehicle passing records of the bayonet, the flow and the electric alarm equipment and storing the gathered snapping and vehicle passing records into the operation and maintenance database;
(2) modifying and expanding the interval according to a preset threshold value of default configuration of the system;
(3) the big data program module is used for calculating to obtain inspection evaluation of each device according to a preset threshold value of a user and by combining each data volume interval;
(4) and inquiring, counting and comparing the inspection result data.
7. The method for realizing data inspection control at an urban traffic intersection according to claim 6, wherein the step (2) of configuring the preset threshold specifically comprises the following steps:
and (2.1) checking the union and the continuity of the device data volume intervals.
8. The method for implementing data inspection control at an urban traffic intersection according to claim 7, wherein the intervals are continuous.
9. The method for realizing data inspection control at an urban traffic intersection according to claim 6, wherein the step (3) of calculating inspection evaluation specifically comprises the following steps:
(3.1) dividing the inspection results;
and (3.2) counting the normal equipment flow in the past 60 days, and calculating the average flow.
10. The method for implementing data inspection and control at an urban traffic intersection according to claim 9, wherein the inspection results are divided into to-be-evaluated, normal, warning and abnormal.
11. The method for realizing data inspection control at an urban traffic intersection according to claim 6, wherein the step (3) of calculating the inspection evaluation further comprises the operation steps of manually repairing the evaluation:
and (1-3) adjusting the calculation result of the average flow and the judgment result of the inspection result according to the accuracy of the actual inspection result.
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| CN201811620800.8A CN111383445A (en) | 2018-12-28 | 2018-12-28 | System and method for realizing data inspection control of urban traffic intersection |
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| CN201811620800.8A CN111383445A (en) | 2018-12-28 | 2018-12-28 | System and method for realizing data inspection control of urban traffic intersection |
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