CN110750430A - Method and system for evaluating brain capacity of public security traffic management data - Google Patents
Method and system for evaluating brain capacity of public security traffic management data Download PDFInfo
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Abstract
The invention relates to the technical field of road traffic management, and particularly discloses a method for evaluating brain capacity of public security traffic management data, wherein the method for evaluating brain capacity of the public security traffic management data comprises the following steps: obtaining evaluation index data, wherein the evaluation index data comprises: the data concurrent reading and writing quantity, the video image intelligent analysis quantity, the event judgment accuracy rate and the illegal identification effective rate; calculating an evaluation index of the evaluation index data; and determining the evaluation grade corresponding to the evaluation index data according to the evaluation index. The invention also discloses a system for evaluating the brain capacity of the public security traffic management data. The method for evaluating the brain capacity of the public security traffic management data can realize quantitative evaluation of the brain capacity of the traffic management data, is simple and convenient to calculate, and enhances the supporting effect of the data brain on traffic management business.
Description
Technical Field
The invention relates to the technical field of road traffic management, in particular to a method and a system for evaluating the brain capacity of public security traffic management data.
Background
With the rapid development of technologies such as big data, cloud computing, artificial intelligence and the like, data are born in brain, and new ideas and development directions are brought to traffic management. The nation pays attention to the development of the traffic brain, and the public security department takes the construction of the traffic brain as a big data key strategy. Under the guidance of policies, public security traffic management departments in various regions build and apply data brains. However, due to the lack of top-level design and unified guidance, the problems of unclear requirements, incomplete functions, unreasonable construction and the like occur in the construction and application processes of various regions, so that the supporting effect of the data brain on traffic management services is far from the expected effect.
Disclosure of Invention
The invention provides a method and a system for evaluating brain capacity of public security traffic control data, which are used for solving one of the technical problems in the related technology.
As a first aspect of the present invention, there is provided a method for assessing brain ability of police traffic management data, wherein the method for assessing brain ability of police traffic management data comprises:
obtaining evaluation index data, wherein the evaluation index data comprises: the data concurrent reading and writing quantity, the video image intelligent analysis quantity, the event judgment accuracy rate and the illegal identification effective rate;
calculating an evaluation index of the evaluation index data;
and determining the evaluation grade corresponding to the evaluation index data according to the evaluation index.
Further, the acquiring the data concurrent read-write quantity comprises:
calling system log data;
obtaining the supported maximum data concurrent read-write quantity according to the data at the peak time of the concurrent demand of the system data and by combining the data under the pressure test;
and dividing the supported maximum data concurrent read-write quantity by the processing time to obtain the data concurrent read-write quantity.
Further, acquiring the intelligent analysis amount of the video image comprises:
inquiring database data of a video analysis system;
counting the size of a video code stream which can be processed by each data brain server in the peak time period;
counting the size of the video image intelligent analysis total code stream;
and dividing the size of the video image intelligent analysis total code stream by the processing time to obtain the video image intelligent analysis amount.
Further, the obtaining of the event discrimination accuracy includes:
inquiring the data of the traffic incident database;
recording the number of confirmed actually occurring events in the traffic event database data;
and dividing the confirmed number of truly occurring events by the number of all alarming events in the traffic event database data to obtain the event discrimination accuracy.
Further, obtaining the violation identification efficiency includes:
inquiring data of a traffic violation database;
recording the effective illegal quantity confirmed by auditing in the traffic illegal database data;
and dividing the valid illegal quantity confirmed by auditing in the traffic illegal database data by all illegal quantities in the system data log to obtain the effective illegal identification rate.
Further, the calculating of the evaluation index data includes:
respectively calculating the numerical value of each item of evaluation index data;
respectively calculating the same-class city mean value of each evaluation index data;
and dividing the numerical value of each evaluation index data by the same-class city mean value of the evaluation index data to obtain the index value of the evaluation index.
Further, the determining the evaluation grade corresponding to the evaluation index data according to the evaluation index includes:
and comparing the index value of each evaluation index with a preset evaluation criterion to obtain the evaluation grade corresponding to each evaluation index data.
As another aspect of the present invention, there is provided a police traffic management data brain ability assessment system, wherein the police traffic management data brain ability assessment system comprises:
an obtaining module configured to obtain evaluation index data, wherein the evaluation index data includes: the data concurrent reading and writing quantity, the video image intelligent analysis quantity, the event judgment accuracy rate and the illegal identification effective rate;
a calculation module for calculating an evaluation index of the evaluation index data;
the determining module is used for determining the evaluation grade corresponding to the evaluation index data according to the evaluation index.
According to the method for evaluating the brain capacity of the public security traffic control data, the evaluation index of each evaluation index data is obtained through calculation according to the obtained evaluation index data, and then the corresponding evaluation grade is determined according to the evaluation index.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a method for evaluating the brain ability of the police traffic management data according to the present invention.
Fig. 2 is a diagram of traffic data brain capability radar in city a provided by the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this embodiment, a method for evaluating brain capacity of police transportation data is provided, and fig. 1 is a flowchart of a method for evaluating brain capacity of police transportation data according to an embodiment of the present invention, as shown in fig. 1, including:
s110, obtaining evaluation index data, wherein the evaluation index data comprises: the data concurrent reading and writing quantity, the video image intelligent analysis quantity, the event judgment accuracy rate and the illegal identification effective rate;
s120, calculating an evaluation index of the evaluation index data;
and S130, determining the evaluation grade corresponding to the evaluation index data according to the evaluation index.
According to the method for evaluating the brain capacity of the public security traffic control data, the evaluation index of each evaluation index data is obtained through calculation according to the obtained evaluation index data, and then the corresponding evaluation grade is determined according to the evaluation index.
It should be noted that the brain of the data of the public security and traffic management is mainly embodied in the cognitive, learning, decision, evaluation and scheduling abilities, and the invention evaluates the brain ability of the data of the public security and traffic management by comparing the data management ability and the intelligent cognitive ability of the brain of the data of the public security and traffic management with the standard value of the same city index and obtaining the index corresponding to the index.
Regarding the data management capability, the data management capability of the brain of the public security traffic control data is mainly expressed in the processing of structured data and unstructured data.
Specifically, the acquiring the data concurrent read-write quantity includes:
calling system log data;
obtaining the supported maximum data concurrent read-write quantity according to the data at the peak time of the concurrent demand of the system data and by combining the data under the pressure test;
and dividing the supported maximum data concurrent read-write quantity by the processing time to obtain the data concurrent read-write quantity.
It should be noted that the data concurrent read-write quantity is the data record number that the data brain can process simultaneously in unit time, reflects the processing capacity of the data brain of the public security traffic management on the structured data, and is calculated as follows:
wherein p is1Represents data andthe read-write quantity, T represents statistical time, and DR represents the total number of data records processed in a period of time.
Specifically, the acquiring the intelligent analysis amount of the video image comprises:
inquiring database data of a video analysis system;
counting the size of a video code stream which can be processed by each data brain server in the peak time period;
counting the size of the video image intelligent analysis total code stream;
and dividing the size of the video image intelligent analysis total code stream by the processing time to obtain the video image intelligent analysis amount.
It should be noted that the intelligent analysis amount of the video image is the size of a 1080P video image code stream that can be processed by a data brain in a unit time, which reflects the processing capacity of the data brain of the public security traffic management on unstructured data, and is calculated as follows:
wherein p is2The intelligent analysis amount of the video image is represented, T represents statistical time, and VR represents the size of the video image code stream which is processed in a period of time.
The invention relates to intelligent cognitive ability, and the intelligent cognitive ability of a data brain of a public security traffic management is mainly expressed in the recognition ability of a background system on events such as road congestion, accidents and sprinkles and traffic violation.
Specifically, the obtaining of the event discrimination accuracy includes:
inquiring the data of the traffic incident database;
recording the number of confirmed actually occurring events in the traffic event database data;
and dividing the confirmed number of the actually occurring events by the number of all the events which are alarmed in the system data log to obtain the event judgment accuracy.
It should be noted that the event discrimination accuracy is a ratio of the number of actually occurring events to the number of total recognition alarm events, and is specifically calculated as follows:
wherein p is3Indicating the event discrimination accuracy, IeIndicating the number of events that actually occurred after verification, and I indicating the number of all events that the system alarms.
Specifically, obtaining the violation identification efficiency includes:
inquiring data of a traffic violation database;
recording the effective illegal quantity confirmed by auditing in the traffic illegal database data;
and dividing the valid illegal quantity confirmed by auditing in the traffic illegal database data by all illegal quantities in the traffic illegal database data to obtain the effective illegal identification rate.
It should be noted that the effective rate of illegal recognition is the ratio of the number of valid illegal objects to the number of illegal objects that are verified to be evidence of the total recognition.
Wherein p is4Effective rate of illegal recognition, WeRepresenting the number of valid violations confirmed by the audit, and W representing the number of all violations identified by the system.
Specifically, the calculating of the evaluation index data includes:
respectively calculating the numerical value of each item of evaluation index data;
respectively calculating the same-class city mean value of each evaluation index data;
and dividing the numerical value of each evaluation index data by the same-class city mean value of the evaluation index data to obtain the index value of the evaluation index.
It can be understood that the index value of each evaluation index is calculated according to a calculation formula of the index value of the evaluation index, where the calculation formula of the index value of the evaluation index is:
wherein, PiIndex value, p, representing evaluation index iiA numerical value representing the evaluation index data i,
and the same-class city mean value representing the evaluation index.
Specifically, the determining the evaluation grade corresponding to the evaluation index data according to the evaluation index includes:
and comparing the index value of each evaluation index with a preset evaluation criterion to obtain the evaluation grade corresponding to each evaluation index data.
It should be noted that, according to the different abilities of the traffic management data in different aspects of the brain, evaluation grades of four indexes of data concurrent reading and writing quantity, video image intelligent analysis quantity, event discrimination accuracy and illegal recognition effective rate are given, and are divided into five grades, namely strong, medium, weak and weak, and the evaluation index corresponding to each grade is shown in table 1:
TABLE 1 capability assessment rating
The brain ability was evaluated for traffic data in city a below. And (4) investigating various evaluation index data by adopting a field investigation method, and analyzing the brain capacity condition of the urban traffic management data. The evaluation process is as follows:
first, various evaluation index data are investigated by a field investigation method (specifically, a field manual investigation method can be adopted), and the method comprises the following steps: data concurrent reading and writing quantity, video image intelligent analysis quantity, event judgment accuracy rate, illegal identification efficiency rate and the like. The method for acquiring the index data comprises the following steps:
data concurrent read-write volume: and calling system log data, combining the data subjected to the pressure test according to the data at the peak moment of the concurrent demand of the system data to obtain the supported maximum data concurrent read-write quantity, and then dividing the maximum data concurrent read-write quantity by the processing time.
Intelligent analysis amount of video images: and inquiring data of a video analysis system database, counting the size of a video code stream which can be processed by each data brain server in the peak time period, summarizing the size of the video image intelligent analysis code stream, and dividing the size by the processing time.
Event discrimination accuracy: and inquiring the data of the traffic event database system, and recording the number of the events which are actually happened and confirmed by the system, except all the events which are alarmed by the background system.
The effective rate of illegal recognition: and inquiring the data of the traffic violation database, recording the effective violation quantity confirmed by the audit, and removing all the violation quantities found by the background system.
By combining the above methods, data shown in table 2 were obtained.
TABLE 2 brain evaluation index values and similar city index means of city A traffic data
Then, according to the index calculation method, each index value is calculated, and the corresponding ability grade is obtained by referring to the table 1. Specific results are shown in the following table.
TABLE 3 brain evaluation index and evaluation grade of traffic data in city A
And finally, drawing a traffic management data brain capacity radar map of the city A according to each index value of the city A and the average value (reference value 1) of the same city, as shown in fig. 2.
As can be seen from FIG. 2, the structural data processing capacity of the police traffic management data brain constructed in the city A is stronger in the aspect of data management capacity and is higher than the mean value by 69%; unstructured data such as video images are typically processed. In the aspect of intelligent cognitive ability, the accuracy of event discrimination is general, but the accuracy of illegal discovery is weak and is lower than the average level by 24%.
In conclusion, the method for evaluating the brain capacity of the public security traffic management data provided by the invention is put forward around the requirements of public security traffic management and service, leads the brain health development of national public security traffic management data through scientific evaluation, and improves the application efficiency.
As another aspect of the present invention, there is provided a police traffic management data brain capacity assessment system, wherein the police traffic management data brain capacity assessment system comprises:
an obtaining module configured to obtain evaluation index data, wherein the evaluation index data includes: the data concurrent reading and writing quantity, the video image intelligent analysis quantity, the event judgment accuracy rate and the illegal identification effective rate;
a calculation module for calculating an evaluation index of the evaluation index data;
the determining module is used for determining the evaluation grade corresponding to the evaluation index data according to the evaluation index.
According to the police traffic management data brain capacity assessment system, the assessment index of each assessment index data is obtained through calculation according to the obtained assessment index data, and then the assessment grade corresponding to the assessment index data is determined according to the assessment index.
The working principle of the system for evaluating brain ability of police and traffic management data provided by the present invention can refer to the description of the method for evaluating brain ability of police and traffic management data, and is not repeated herein.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (8)
1. A method for evaluating brain capacity of public security traffic management data is characterized by comprising the following steps:
obtaining evaluation index data, wherein the evaluation index data comprises: the data concurrent reading and writing quantity, the video image intelligent analysis quantity, the event judgment accuracy rate and the illegal identification effective rate;
calculating an evaluation index of the evaluation index data;
and determining the evaluation grade corresponding to the evaluation index data according to the evaluation index.
2. The method for assessing brain ability of police traffic management data according to claim 1, wherein obtaining the concurrent read-write volume of data comprises:
calling system log data;
obtaining the supported maximum data concurrent read-write quantity according to the data at the peak time of the concurrent demand of the system data and by combining the data under the pressure test;
and dividing the supported maximum data concurrent read-write quantity by the processing time to obtain the data concurrent read-write quantity.
3. The method for brain capacity assessment of police traffic management data according to claim 1, wherein obtaining the intelligent analysis of video images comprises:
inquiring database data of a video analysis system;
counting the size of a video code stream which can be processed by each data brain server in the peak time period;
counting the size of the video image intelligent analysis total code stream;
and dividing the size of the video image intelligent analysis total code stream by the processing time to obtain the video image intelligent analysis amount.
4. The method of claim 1, wherein obtaining the event discrimination accuracy comprises:
inquiring the data of the traffic incident database;
recording the number of confirmed actually occurring events in the traffic event database data;
and dividing the confirmed number of the actually occurring events by the number of all the events which are alarmed in the system data log to obtain the event judgment accuracy.
5. The method of claim 1, wherein obtaining the violation identification efficiency comprises:
inquiring data of a traffic violation database;
recording the effective illegal quantity confirmed by auditing in the traffic illegal database data;
and dividing the valid illegal quantity confirmed by auditing in the traffic illegal database data by all illegal quantities in the traffic illegal database data to obtain the effective illegal identification rate.
6. The method for brain capacity assessment of police traffic management data according to any one of claims 1 to 5, wherein the calculating of the assessment index data comprises:
respectively calculating the numerical value of each item of evaluation index data;
respectively calculating the same-class city mean value of each evaluation index data;
and dividing the numerical value of each evaluation index data by the same-class city mean value of the evaluation index data to obtain the index value of the evaluation index.
7. The method for brain capacity assessment of police traffic management data according to claim 6, wherein the determining the assessment grade corresponding to the assessment index data according to the assessment index comprises:
and comparing the index value of each evaluation index with a preset evaluation criterion to obtain the evaluation grade corresponding to each evaluation index data.
8. A police traffic management data brain ability assessment system, characterized in that, the police traffic management data brain ability assessment system includes:
an obtaining module configured to obtain evaluation index data, wherein the evaluation index data includes: the data concurrent reading and writing quantity, the video image intelligent analysis quantity, the event judgment accuracy rate and the illegal identification effective rate;
a calculation module for calculating an evaluation index of the evaluation index data;
the determining module is used for determining the evaluation grade corresponding to the evaluation index data according to the evaluation index.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105741596A (en) * | 2016-03-21 | 2016-07-06 | 江苏智通交通科技有限公司 | Electronic police system detection reliability control method and system |
| CN105809963A (en) * | 2016-04-27 | 2016-07-27 | 公安部交通管理科学研究所 | Urban passage traffic state evaluation method based on measured vehicle |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741596A (en) * | 2016-03-21 | 2016-07-06 | 江苏智通交通科技有限公司 | Electronic police system detection reliability control method and system |
| CN105809963A (en) * | 2016-04-27 | 2016-07-27 | 公安部交通管理科学研究所 | Urban passage traffic state evaluation method based on measured vehicle |
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Application publication date: 20200204 |