CN115798200A - Method, system, electronic device and storage medium for early warning of abnormal traffic data - Google Patents
Method, system, electronic device and storage medium for early warning of abnormal traffic data Download PDFInfo
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- CN115798200A CN115798200A CN202211399388.8A CN202211399388A CN115798200A CN 115798200 A CN115798200 A CN 115798200A CN 202211399388 A CN202211399388 A CN 202211399388A CN 115798200 A CN115798200 A CN 115798200A
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Abstract
The application provides a method, a system, an electronic device and a storage medium for early warning of abnormal traffic data, which comprise the following steps: acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prescrutiny invalid illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents; obtaining pre-audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are pre-audit invalid, and obtaining manual audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are manually audited invalid; and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold. Therefore, the monitoring system can timely find the abnormal monitoring equipment, and the accuracy of judging the illegal traffic accident is ensured.
Description
Technical Field
The application belongs to the field of data processing, and particularly relates to a method, a system, electronic equipment and a storage medium for early warning of abnormal traffic data.
Background
With the rapid development of economy and the continuous improvement of living standard of people, the intelligent traffic construction of China is entering a more deep and more solid new stage, and meanwhile, the analysis and mining processing of vehicle data is continuously developed and innovated due to the continuous enhancement of the storage capacity and the computing capacity of big data, so that the foundation is laid for the establishment of intelligent traffic.
At present, intelligent traffic builds a resource system through an advanced data acquisition means, and efficient, convenient and accurate management of urban traffic is realized. But also put forward higher requirement to the abnormal detection ability of equipment simultaneously, the increase of equipment causes the increase of artifical detection work load, and the interference of natural environment causes equipment omission, wrong detection, fault warning in time inadequately, and illegal snapshot data can't the effectual detection data abnormal increase or reduce, can't distinguish and effectual early warning the snapshot quality.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a method, a system, electronic equipment and a storage medium for early warning of abnormal traffic data, so that a monitoring system can timely find abnormal monitoring equipment, and the accuracy of judging illegal traffic accidents is ensured.
In a first aspect, a method for warning of abnormal traffic data is provided, the method comprising:
acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prescrutiny invalid illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents;
obtaining pre-audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are pre-audit invalid, and obtaining manual audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are manually audited invalid;
and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold.
In a possible implementation manner, the determining whether the monitoring device to be pre-warned needs pre-warning according to the relationship between the pre-review inefficiency and the pre-review inefficiency threshold and/or the relationship between the manual review inefficiency and the manual review inefficiency threshold includes:
and if the pre-auditing inefficiency and/or the manual auditing inefficiency are abnormal, the monitoring equipment to be pre-warned is in an abnormal state.
In another possible implementation, the pre-reviewing inefficiency anomalies includes:
if the pre-auditing inefficiency is greater than the maximum pre-auditing inefficiency, the pre-auditing inefficiency is abnormal; and/or the presence of a gas in the gas,
if the pre-audit failure rate is less than the minimum pre-audit failure rate, the pre-audit failure rate is abnormal; and/or the presence of a gas in the gas,
and if the pre-audit fluctuation value is greater than the pre-audit fluctuation value threshold value, the pre-audit failure rate is abnormal, and the pre-audit fluctuation value is the absolute value of the difference value between the pre-audit failure rate and the pre-audit failure rate in the previous period.
In another possible implementation, the manually reviewing the inefficiency exception includes:
if the manual review inefficiency is greater than the maximum manual review inefficiency, the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
if the manual review inefficiency is smaller than the minimum value of the manual review inefficiency, the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
and if the manual audit fluctuation value is greater than the manual audit fluctuation value threshold value, the manual audit inefficiency is abnormal, and the manual audit fluctuation value is an absolute value of a difference value between the manual audit inefficiency and the manual audit inefficiency in the previous period.
In a second aspect, a system for providing early warning of abnormal traffic data is provided, the system comprising:
the data acquisition module is used for acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prejudicial invalid illegal traffic accidents and the number of artificial checking invalid illegal traffic accidents;
the system comprises an efficiency obtaining module, a manual auditing module and a traffic monitoring module, wherein the efficiency obtaining module is used for obtaining the pre-auditing efficiency according to the number of illegal traffic accidents and the number of pre-auditing invalid illegal traffic accidents, and obtaining the manual auditing efficiency according to the number of illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents;
and the early warning judgment module is used for determining whether the monitoring equipment to be early warned needs early warning according to the relation between the pre-auditing inefficiency and the pre-auditing inefficiency threshold and/or the relation between the manual auditing inefficiency and the manual auditing inefficiency threshold.
In one possible implementation manner, the early warning judgment module includes:
and the abnormal unit is used for determining that the monitoring equipment to be pre-warned is in an abnormal state if the pre-reviewing inefficiency and/or the manual reviewing inefficiency are abnormal.
In another possible implementation manner, the exception unit includes:
the maximum pre-audit failure rate correlation judgment unit is used for judging whether the pre-audit failure rate is greater than the maximum pre-audit failure rate or not; and/or the presence of a gas in the gas,
the minimum pre-audit inefficiency related judgment unit is used for judging that the pre-audit inefficiency is abnormal if the pre-audit inefficiency is smaller than the minimum pre-audit inefficiency; and/or the presence of a gas in the gas,
and the pre-audit fluctuation value correlation judgment unit is used for judging that the pre-audit failure rate is abnormal if the pre-audit fluctuation value is greater than a pre-audit fluctuation value threshold, and the pre-audit fluctuation value is an absolute value of a difference value between the pre-audit failure rate and the pre-audit failure rate of the previous period.
In another possible implementation manner, the exception unit includes:
the maximum value correlation judgment unit of the manual checking inefficiency is used for judging that the manual checking inefficiency is larger than the maximum value of the manual checking inefficiency, and the manual checking inefficiency is abnormal; and/or the presence of a gas in the gas,
the manual review inefficiency minimum judging unit is used for judging that the manual review inefficiency is smaller than the manual review inefficiency minimum, and the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
and the manual review fluctuation value correlation judgment unit is used for judging that the manual review inefficiency is abnormal if the manual review fluctuation value is larger than the manual review fluctuation value threshold, and the manual review fluctuation value is an absolute value of a difference value between the manual review inefficiency and the manual review inefficiency in the previous period.
In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method for early warning of abnormal traffic data as provided in the first aspect is implemented.
In a fourth aspect, a non-transitory computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor, implements the method of abnormal traffic data warning as provided in the first aspect.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a flowchart of a method for early warning of abnormal traffic data according to an embodiment of the present invention;
fig. 2 is a structural diagram of a system for early warning of abnormal traffic data according to an embodiment of the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to the present invention.
Detailed description of the preferred embodiment
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar modules or modules having the same or similar functionality throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, modules, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, modules, components, and/or groups thereof. It will be understood that when a module is referred to as being "connected" or "coupled" to another module, it can be directly connected or coupled to the other module or intervening modules may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any module and all combinations of one or more of the associated listed items.
To make the objectives, technical solutions and advantages of the present application more clear, the following detailed description of the implementations of the present application will be made with reference to the accompanying drawings.
The technical solutions of the present application and the technical solutions of the present application, for example, to solve the above technical problems, will be described in detail with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for warning abnormal traffic data according to an embodiment of the present invention, where the method includes:
102, acquiring pre-review inefficiency according to the number of the illegal traffic accidents and the number of the pre-review invalid illegal traffic accidents, and acquiring manual review inefficiency according to the number of the illegal traffic accidents and the number of the manual review invalid illegal traffic accidents;
103, determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold.
In the embodiment of the present invention, audit data in an audit period is obtained from a database corresponding to a monitoring device, where the audit data includes: the number of illegal traffic accidents, the number of prejudicial invalid illegal traffic accidents and the number of invalid illegal traffic accidents checked manually. The number of the prescrutiny invalid illegal traffic accidents is the number of the invalid illegal traffic accidents judged by the AI algorithm, and the number of the artificially scrutiny invalid illegal traffic accidents is the number of the artificially reviewed invalid illegal traffic accidents judged. Two inefficiencies can be obtained for the obtained audit data, namely pre-audit inefficiency and manual audit inefficiency,the system comprises a pre-audit system, a pre-audit system and a pre-audit system, wherein the pre-audit inefficiency is obtained according to the number of illegal traffic accidents and the number of pre-audit invalid illegal traffic accidents, the manual audit inefficiency is obtained according to the number of illegal traffic accidents and the number of manual audit invalid illegal traffic accidents, and the pre-audit inefficiency and the manual audit inefficiency are calculated through the following formulas:
wherein M is Pre-examination For prequalification inefficiency, M is the number of invalid illegal traffic accidents, N Artificial operation The method has the advantages that manual checking is inefficient, N is the number of invalid illegal traffic accidents through manual checking, and K is the number of illegal traffic accidents. After the pre-auditing inefficiency and the manual auditing inefficiency are obtained, comparing the pre-auditing inefficiency with a pre-auditing inefficiency threshold, comparing the manual auditing inefficiency with a manual auditing inefficiency threshold, determining whether the monitoring equipment to be pre-warned is abnormal according to the comparison result, and pre-warning if the monitoring equipment to be pre-warned is abnormal.
Wherein, the determining whether the monitoring device to be pre-warned needs pre-warning according to the relationship between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relationship between the manual reviewing inefficiency and the manual reviewing inefficiency threshold includes:
and if the pre-auditing inefficiency and/or the manual auditing inefficiency are abnormal, the monitoring equipment to be pre-warned is in an abnormal state.
In the embodiment of the invention, the state of the monitoring equipment to be pre-warned can be set to be an abnormal state when any one of the pre-reviewing inefficiency and the manual reviewing inefficiency is abnormal.
Wherein the pre-audit inefficiency exception comprises:
if the pre-auditing inefficiency is greater than the maximum pre-auditing inefficiency, the pre-auditing inefficiency is abnormal; and/or the presence of a gas in the atmosphere,
if the pre-audit failure rate is less than the minimum pre-audit failure rate, the pre-audit failure rate is abnormal; and/or the presence of a gas in the gas,
and if the pre-audit fluctuation value is greater than the pre-audit fluctuation value threshold value, the pre-audit failure rate is abnormal, and the pre-audit fluctuation value is the absolute value of the difference value between the pre-audit failure rate and the pre-audit failure rate in the previous period.
In the embodiment of the invention, whether the pre-review inefficiency is abnormal can be judged from three aspects, namely the maximum pre-review inefficiency, the minimum pre-review inefficiency and the threshold pre-review fluctuation value, specifically, if the pre-review inefficiency is greater than the maximum pre-review inefficiency, the pre-review inefficiency is abnormal; if the pre-audit failure rate is smaller than the minimum value of the pre-audit failure rate, the pre-audit failure rate is abnormal; if the pre-audit fluctuation value is greater than the pre-audit fluctuation value threshold, the pre-audit inefficiency is abnormal, and the pre-audit fluctuation value is an absolute value of a difference value between the pre-audit inefficiency in the current period and the pre-audit inefficiency in the previous period, wherein the maximum pre-audit inefficiency, the minimum pre-audit inefficiency, and the pre-audit fluctuation value threshold can be set according to the needs of practical application, which is not limited in the present application.
Wherein the manually reviewing inefficiency exception comprises:
if the manual review inefficiency is greater than the maximum manual review inefficiency, the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
if the manual review inefficiency is smaller than the minimum value of the manual review inefficiency, the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
and if the manual audit fluctuation value is greater than the manual audit fluctuation value threshold value, the manual audit inefficiency is abnormal, and the manual audit fluctuation value is an absolute value of a difference value between the manual audit inefficiency and the manual audit inefficiency in the previous period.
In the embodiment of the present invention, it can be determined from three aspects whether the manual review inefficiency is abnormal, that is, the maximum value of the manual review inefficiency, the minimum value of the manual review inefficiency, and the threshold value of the manual review fluctuation value, specifically, if the manual review inefficiency is greater than the maximum value of the manual review inefficiency, the manual review inefficiency is abnormal; if the manual review inefficiency is smaller than the minimum value of the manual review inefficiency, the manual review inefficiency is abnormal; if the manual review fluctuation value is greater than the manual review fluctuation value threshold, the manual review inefficiency is abnormal, and the manual review fluctuation value is an absolute value of a difference value between the manual review inefficiency of the current period and the manual review inefficiency of the previous period, wherein the manual review inefficiency maximum value, the manual review inefficiency minimum value and the manual review fluctuation value threshold can be set according to the needs of practical application, and the application is not limited to this.
According to the embodiment of the invention, the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prejudicial invalid illegal traffic accidents and the number of artificial checking invalid illegal traffic accidents are obtained; obtaining pre-audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are pre-audit invalid, and obtaining manual audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are manually audited invalid; and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold. Therefore, the monitoring system can find abnormal monitoring equipment in time, and the accuracy of judging the illegal traffic accidents is ensured.
Fig. 2 is a structural diagram of a system for warning abnormal traffic data according to an embodiment of the present invention, where the system includes:
the data acquisition module 201 is configured to acquire the number of illegal traffic accidents in the monitoring device to be pre-warned, the number of prejudicial invalid illegal traffic accidents, and the number of artificial auditing invalid illegal traffic accidents;
an inefficiency acquiring module 202, configured to acquire pre-review inefficiency according to the number of illegal traffic accidents and the number of pre-review invalid illegal traffic accidents, and acquire manual review inefficiency according to the number of illegal traffic accidents and the number of manual review invalid illegal traffic accidents;
and the early warning judgment module 203 is configured to determine whether the monitoring device to be early warned needs early warning according to the relationship between the pre-review inefficiency and the pre-review inefficiency threshold, and/or the relationship between the manual review inefficiency and the manual review inefficiency threshold.
In the embodiment of the present invention, audit data in an audit period is obtained from a database corresponding to a monitoring device, where the audit data includes: the number of illegal traffic accidents, the number of prejudicial invalid illegal traffic accidents and the number of invalid illegal traffic accidents checked manually. The number of the prescrutiny invalid illegal traffic accidents is the number of the invalid illegal traffic accidents judged by the AI algorithm, and the number of the artificially scrutiny invalid illegal traffic accidents is the number of the artificially reviewed invalid illegal traffic accidents judged. Two inefficiencies can be obtained for the obtained auditing data, namely pre-auditing inefficiency and manual auditing inefficiency, wherein the pre-auditing inefficiency is obtained according to the number of illegal traffic accidents and the number of invalid illegal traffic accidents, the manual auditing inefficiency is obtained according to the number of illegal traffic accidents and the number of invalid illegal traffic accidents, and specifically, the pre-auditing inefficiency and the manual auditing inefficiency are calculated by the following formulas:
wherein M is Pre-examination For prequalification inefficiency, M is the number of invalid illegal traffic accidents, N Artificial operation The method has the advantages that manual checking is inefficient, N is the number of invalid illegal traffic accidents through manual checking, and K is the number of illegal traffic accidents. After the pre-auditing inefficiency and the manual auditing inefficiency are obtained, comparing the pre-auditing inefficiency with a pre-auditing inefficiency threshold, comparing the manual auditing inefficiency with a manual auditing inefficiency threshold, determining whether the monitoring equipment to be pre-warned is abnormal according to the comparison result, and pre-warning if the monitoring equipment to be pre-warned is abnormal.
The early warning judgment module 203 includes:
and the abnormal unit is used for determining that the monitoring equipment to be pre-warned is in an abnormal state if the pre-reviewing inefficiency and/or the manual reviewing inefficiency are abnormal.
In the embodiment of the invention, the state of the monitoring equipment to be pre-warned can be set to be an abnormal state when any one of the pre-reviewing inefficiency and the manual reviewing inefficiency is abnormal.
Wherein the exception unit comprises:
the maximum pre-audit failure rate correlation judgment unit is used for judging whether the pre-audit failure rate is greater than the maximum pre-audit failure rate or not; and/or the presence of a gas in the gas,
the minimum pre-audit inefficiency related judgment unit is used for judging that the pre-audit inefficiency is abnormal if the pre-audit inefficiency is smaller than the minimum pre-audit inefficiency; and/or the presence of a gas in the gas,
and the pre-audit fluctuation value correlation judgment unit is used for judging that the pre-audit failure rate is abnormal if the pre-audit fluctuation value is greater than a pre-audit fluctuation value threshold, and the pre-audit fluctuation value is an absolute value of a difference value between the pre-audit failure rate and the pre-audit failure rate of the previous period.
In the embodiment of the present invention, whether the pre-audit inefficiency is abnormal, that is, the maximum pre-audit inefficiency, the minimum pre-audit inefficiency, and the threshold pre-audit fluctuation value, can be determined from three aspects, specifically, if the pre-audit inefficiency is greater than the maximum pre-audit inefficiency, the pre-audit inefficiency is abnormal; if the pre-audit failure rate is smaller than the minimum value of the pre-audit failure rate, the pre-audit failure rate is abnormal; if the pre-audit fluctuation value is greater than the pre-audit fluctuation value threshold, the pre-audit inefficiency is abnormal, and the pre-audit fluctuation value is an absolute value of a difference value between the pre-audit inefficiency in the current period and the pre-audit inefficiency in the previous period, wherein the maximum pre-audit inefficiency, the minimum pre-audit inefficiency, and the pre-audit fluctuation value threshold can be set according to the needs of practical application, which is not limited in the present application.
Wherein the exception unit includes:
the maximum value correlation judgment unit of the manual checking inefficiency is used for judging that the manual checking inefficiency is larger than the maximum value of the manual checking inefficiency, and the manual checking inefficiency is abnormal; and/or the presence of a gas in the gas,
the manual review inefficiency minimum judging unit is used for judging that the manual review inefficiency is smaller than the manual review inefficiency minimum, and the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
and the manual review fluctuation value correlation judgment unit is used for judging that the manual review inefficiency is abnormal if the manual review fluctuation value is larger than the manual review fluctuation value threshold, and the manual review fluctuation value is an absolute value of a difference value between the manual review inefficiency and the manual review inefficiency of the previous period.
In the embodiment of the present invention, it can be determined from three aspects whether the manual review inefficiency is abnormal, that is, the maximum value of the manual review inefficiency, the minimum value of the manual review inefficiency, and the threshold value of the manual review fluctuation value, specifically, if the manual review inefficiency is greater than the maximum value of the manual review inefficiency, the manual review inefficiency is abnormal; if the manual review inefficiency is smaller than the minimum value of the manual review inefficiency, the manual review inefficiency is abnormal; if the manual review fluctuation value is greater than the manual review fluctuation value threshold, the manual review inefficiency is abnormal, and the manual review fluctuation value is an absolute value of a difference value between the manual review inefficiency of the current period and the manual review inefficiency of the previous period, wherein the manual review inefficiency maximum value, the manual review inefficiency minimum value and the manual review fluctuation value threshold can be set according to the needs of practical application, and the application is not limited to this.
According to the embodiment of the invention, the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prejudicial invalid illegal traffic accidents and the number of invalid illegal traffic accidents which are artificially reviewed are obtained; obtaining pre-audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are pre-audit invalid, and obtaining manual audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are manually audited invalid; and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold. Therefore, the monitoring system can timely find the abnormal monitoring equipment, and the accuracy of judging the illegal traffic accident is ensured.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor) 301, a communication Interface (communication Interface) 302, a memory (memory) 303 and a communication bus 304, wherein the processor, the communication Interface and the memory complete communication with each other through the communication bus. The processor may invoke logic instructions in memory to perform a method of abnormal traffic data warning, the method comprising: acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prescrutiny invalid illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents; acquiring pre-review inefficacy according to the number of the illegal traffic accidents and the number of the pre-review invalid illegal traffic accidents, and acquiring manual review inefficacy according to the number of the illegal traffic accidents and the number of the manual review invalid illegal traffic accidents; and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the method for warning abnormal traffic data provided by the above-mentioned method embodiments, where the method includes: acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prescrutiny invalid illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents; obtaining pre-audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are pre-audit invalid, and obtaining manual audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are manually audited invalid; and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold.
In still another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the method for warning abnormal traffic data provided in the foregoing embodiments, the method including: acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prescrutiny invalid illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents; obtaining pre-audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are pre-audit invalid, and obtaining manual audit inefficiency according to the number of the illegal traffic accidents and the number of the illegal traffic accidents which are manually audited invalid; and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial implementation of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method for early warning of abnormal traffic data, the method comprising:
acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prescrutiny invalid illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents;
acquiring pre-review inefficacy according to the number of the illegal traffic accidents and the number of the pre-review invalid illegal traffic accidents, and acquiring manual review inefficacy according to the number of the illegal traffic accidents and the number of the manual review invalid illegal traffic accidents;
and determining whether the monitoring equipment to be pre-warned needs pre-warning according to the relation between the pre-reviewing inefficiency and the pre-reviewing inefficiency threshold and/or the relation between the manual reviewing inefficiency and the manual reviewing inefficiency threshold.
2. The method as claimed in claim 1, wherein the determining whether the monitoring device to be warned needs to be warned according to the relationship between the pre-review inefficiency and the pre-review inefficiency threshold and/or the relationship between the manual review inefficiency and the manual review inefficiency threshold comprises:
and if the pre-auditing inefficiency and/or the manual auditing inefficiency are abnormal, the monitoring equipment to be pre-warned is in an abnormal state.
3. The method of claim 2, wherein the pre-reviewing the inefficiency anomaly comprises:
if the pre-auditing inefficiency is greater than the maximum pre-auditing inefficiency, the pre-auditing inefficiency is abnormal; and/or the presence of a gas in the gas,
if the pre-auditing inefficiency is smaller than the minimum value of the pre-auditing inefficiency, the pre-auditing inefficiency is abnormal; and/or the presence of a gas in the gas,
and if the pre-audit fluctuation value is greater than the pre-audit fluctuation value threshold value, the pre-audit failure rate is abnormal, and the pre-audit fluctuation value is the absolute value of the difference value between the pre-audit failure rate and the pre-audit failure rate in the previous period.
4. The method of claim 2, wherein the manually reviewing the inefficiency anomaly comprises:
if the manual review inefficiency is greater than the maximum manual review inefficiency, the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
if the manual review inefficiency is smaller than the minimum value of the manual review inefficiency, the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
and if the manual audit fluctuation value is greater than the manual audit fluctuation value threshold value, the manual audit inefficiency is abnormal, and the manual audit fluctuation value is an absolute value of a difference value between the manual audit inefficiency and the manual audit inefficiency in the previous period.
5. A system for early warning of abnormal traffic data, the system comprising:
the data acquisition module is used for acquiring the number of illegal traffic accidents in the monitoring equipment to be pre-warned, the number of prejudicial invalid illegal traffic accidents and the number of artificial checking invalid illegal traffic accidents;
the system comprises an efficiency obtaining module, a manual auditing module and a traffic monitoring module, wherein the efficiency obtaining module is used for obtaining the pre-auditing efficiency according to the number of illegal traffic accidents and the number of pre-auditing invalid illegal traffic accidents, and obtaining the manual auditing efficiency according to the number of illegal traffic accidents and the number of manual auditing invalid illegal traffic accidents;
and the early warning judgment module is used for determining whether the monitoring equipment to be early warned needs early warning according to the relation between the pre-auditing inefficiency and the pre-auditing inefficiency threshold and/or the relation between the manual auditing inefficiency and the manual auditing inefficiency threshold.
6. The system of claim 5, wherein the early warning determination module comprises:
and the abnormal unit is used for determining that the monitoring equipment to be pre-warned is in an abnormal state if the pre-reviewing inefficiency and/or the manual reviewing inefficiency are abnormal.
7. The system of claim 6, wherein the exception unit comprises:
the maximum pre-audit failure rate correlation judgment unit is used for judging whether the pre-audit failure rate is greater than the maximum pre-audit failure rate or not; and/or the presence of a gas in the gas,
the minimum pre-audit inefficiency related judgment unit is used for judging that the pre-audit inefficiency is abnormal if the pre-audit inefficiency is smaller than the minimum pre-audit inefficiency; and/or the presence of a gas in the gas,
and the pre-audit fluctuation value correlation judgment unit is used for judging that the pre-audit failure rate is abnormal if the pre-audit fluctuation value is greater than a pre-audit fluctuation value threshold, and the pre-audit fluctuation value is an absolute value of a difference value between the pre-audit failure rate and the pre-audit failure rate of the previous period.
8. The system of claim 6, wherein the exception unit comprises:
the maximum value correlation judgment unit of the manual checking inefficiency is used for judging that the manual checking inefficiency is larger than the maximum value of the manual checking inefficiency, and the manual checking inefficiency is abnormal; and/or the presence of a gas in the gas,
the manual review inefficiency minimum judging unit is used for judging that the manual review inefficiency is smaller than the manual review inefficiency minimum, and the manual review inefficiency is abnormal; and/or the presence of a gas in the gas,
and the manual review fluctuation value correlation judgment unit is used for judging that the manual review inefficiency is abnormal if the manual review fluctuation value is larger than the manual review fluctuation value threshold, and the manual review fluctuation value is an absolute value of a difference value between the manual review inefficiency and the manual review inefficiency in the previous period.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the method of abnormal traffic data warning as claimed in any one of claims 1 to 4.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of abnormal traffic data warning according to any one of claims 1 to 4.
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| CN116860563A (en) * | 2023-09-05 | 2023-10-10 | 山东捷瑞数字科技股份有限公司 | Cloud platform-based database server monitoring method and system |
| CN116860563B (en) * | 2023-09-05 | 2023-12-15 | 山东捷瑞数字科技股份有限公司 | Cloud platform-based database server monitoring method and system |
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