CN110866692A - Generation method and generation device of early warning information and readable storage medium - Google Patents
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Abstract
The application provides a generation method, a generation device and a readable storage medium of early warning information, wherein the generation method comprises the following steps: acquiring a plurality of pieces of monitoring data of a target person and attribute information of each piece of monitoring data based on the person identification information of the target person; determining the monitoring dimension of each piece of monitoring data based on the attribute information of each piece of monitoring data; aiming at the same monitoring dimension, determining abnormal information of a target person on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension; the early warning information of the target personnel is determined based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning triggering rule corresponding to each monitoring dimension, so that the monitoring data of the target personnel can be comprehensively analyzed in multiple monitoring dimensions, and the comprehensiveness of the analysis of the abnormal information of the target personnel and the accuracy of the generation of the early warning information of the target personnel are improved.
Description
Technical Field
The present application relates to the field of information early warning technologies, and in particular, to a method and an apparatus for generating early warning information, and a readable storage medium.
Background
With the rapid development of big data technology, more and more business activities are analyzed and processed based on mass data, so as to obtain more accurate business activity judgment. For a public security data system, in the process of analyzing data, the data source is wide, the information cross is strong, and for a large amount of data in the process, the analysis difficulty is high and information is easy to miss.
At the present stage, in the process of early warning in data processing of a public security system, a dimension control scheme of a geographic position is generally adopted, an entity is monitored according to the geographic position, and trajectory data of the entity is acquired, so that data is analyzed.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, a device and a readable storage medium for generating early warning information, where the early warning information of a target person is generated according to abnormal information of the target person in multiple monitoring dimensions and an early warning trigger rule corresponding to each monitoring dimension, so that monitoring data of the target person can be comprehensively analyzed in the multiple monitoring dimensions, which is beneficial to improving comprehensiveness of analyzing the abnormal information of the target person and accuracy of generating the early warning information of the target person.
The embodiment of the application provides a method for generating early warning information, which comprises the following steps:
acquiring personnel identification information of a target person, and acquiring a plurality of pieces of monitoring data of the target person and attribute information of each piece of monitoring data based on the personnel identification information;
determining a monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data;
aiming at the same monitoring dimension, determining abnormal information of the target personnel on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension;
and determining the early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning trigger rule corresponding to each monitoring dimension.
Further, the determining, based on the attribute information of each piece of monitoring data, a monitoring dimension to which each piece of monitoring data belongs includes:
acquiring at least one piece of monitoring attribute information corresponding to each monitoring dimension;
traversing each piece of attribute information of each piece of monitoring data, and determining monitoring attribute information matched with the attribute information;
and determining the monitoring dimensionality corresponding to the monitoring attribute information matched with the attribute information as the monitoring dimensionality to which the corresponding monitoring data belongs.
Further, the determining, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning trigger rule corresponding to the monitoring dimension includes:
detecting whether only one piece of monitoring data exists in the monitoring dimension;
and if only one piece of monitoring data exists in the monitoring dimension, determining abnormal information of the target person on the monitoring dimension based on a trigger rule in an early warning trigger rule.
Further, after detecting whether only one piece of monitoring data exists in the monitoring dimension, the determining, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning trigger rule corresponding to the monitoring dimension further includes:
if the monitoring dimension has more than one piece of monitoring data, acquiring the appearance sequence of the attribute information of each piece of monitoring data in the early warning triggering rule and the weight value corresponding to each piece of attribute information;
and determining abnormal information of the target personnel on the monitoring dimension based on each piece of monitoring data, the appearance sequence corresponding to each piece of monitoring data and the weight value corresponding to each piece of monitoring data.
Further, the determining the early warning information of the target person based on each piece of abnormal information of the target person in each monitoring dimension and the early warning trigger rule corresponding to each monitoring dimension includes:
acquiring a related monitoring dimension and a weight value corresponding to the related monitoring dimension when the early warning information of the target person is determined for each monitoring dimension indicated by the early warning trigger rule corresponding to each monitoring dimension;
and carrying out linear weighting based on the weight value of each monitoring dimension and the weight value corresponding to the monitoring dimension associated with the monitoring dimension, and determining the early warning information of the target personnel.
The embodiment of the present application further provides a device for generating early warning information, where the device for generating early warning information includes:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for acquiring personnel identification information of a target person and acquiring a plurality of pieces of detection data of the target person and attribute information of each piece of monitoring data based on the personnel identification information;
the first determining module is used for determining the monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data;
the second determining module is used for determining abnormal information of the target person on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension aiming at the same monitoring dimension;
and the third determining module is used for determining the early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning triggering rule corresponding to each monitoring dimension.
Further, when the first determining module is configured to determine, based on the attribute information of each piece of monitoring data, a monitoring dimension to which each piece of monitoring data belongs, the first determining module is further configured to:
acquiring at least one piece of monitoring attribute information corresponding to each monitoring dimension;
traversing each piece of attribute information of each piece of monitoring data, and determining monitoring attribute information matched with the attribute information;
and determining the monitoring dimensionality corresponding to the monitoring attribute information matched with the attribute information as the monitoring dimensionality to which the corresponding monitoring data belongs.
Further, when the second determining module is configured to determine, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension, the second determining module is further configured to:
detecting whether only one piece of monitoring data exists in the monitoring dimension;
and if only one piece of monitoring data exists in the monitoring dimension, determining abnormal information of the target person on the monitoring dimension based on a trigger rule in an early warning trigger rule.
Further, when the second determining module is configured to determine, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension, the second determining module is further configured to:
if the monitoring dimension has more than one piece of monitoring data, acquiring the appearance sequence of the attribute information of each piece of monitoring data in the early warning triggering rule and the weight value corresponding to each piece of attribute information;
and determining abnormal information of the target personnel on the monitoring dimension based on each piece of monitoring data, the appearance sequence corresponding to each piece of monitoring data and the weight value corresponding to each piece of monitoring data.
Further, when the third determining module is configured to determine the warning information of the target person based on each piece of abnormal information of the target person in each monitoring dimension and the warning triggering rule corresponding to each monitoring dimension, the third determining module is further configured to:
acquiring a related monitoring dimension and a weight value corresponding to the related monitoring dimension when the early warning information of the target person is determined for each monitoring dimension indicated by the early warning trigger rule corresponding to each monitoring dimension;
and carrying out linear weighting based on the weight value of each monitoring dimension and the weight value corresponding to the monitoring dimension associated with the monitoring dimension, and determining the early warning information of the target personnel.
An embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, the processor and the memory communicate via the bus when the electronic device is running, and the machine-readable instructions are executed by the processor to perform the steps of the method for generating the warning information.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for generating the warning information are performed as described above.
The method, the device and the readable storage medium for generating the early warning information, provided by the embodiment of the application, are used for acquiring the personnel identification information of the target personnel, and acquiring a plurality of pieces of monitoring data of the target personnel and attribute information of each piece of monitoring data based on the personnel identification information; determining a monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data; aiming at the same monitoring dimension, determining abnormal information of the target personnel on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension; and determining the early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning trigger rule corresponding to each monitoring dimension.
Therefore, a plurality of pieces of monitoring data corresponding to the target personnel are obtained in the monitoring database according to the personnel identification information of the target personnel, the abnormal information of the target personnel is generated on each corresponding monitoring dimension according to the attribute information of each piece of monitoring data, the early warning information of the target personnel is generated according to the early warning triggering rule corresponding to each monitoring dimension in combination with other related monitoring dimensions, the monitoring data of the target personnel are comprehensively analyzed on a plurality of monitoring dimensions, and the comprehensiveness of the analysis of the abnormal information of the target personnel and the accuracy of the generation of the early warning information of the target personnel are improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a block diagram of a possible application scenario;
fig. 2 is a flowchart of a method for generating warning information according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a method for generating warning information according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus for generating early warning information according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.
First, an application scenario to which the present application is applicable will be described. The method can be applied to the technical field of information early warning, according to personnel identification information of target personnel, the method determines multiple pieces of monitoring data of the target personnel and attribute information of each piece of monitoring data from a monitoring database, according to the attribute information of the monitoring data of the target personnel, the multiple pieces of monitoring data are divided to corresponding monitoring dimensions, abnormal information of the monitoring data on each monitoring dimension is determined according to early warning trigger rules corresponding to each monitoring dimension on each monitoring dimension, and the abnormal information on each monitoring dimension and the early warning trigger rules corresponding to each monitoring dimension are combined to determine the early warning information of the target personnel. Therefore, the early warning information of the target personnel can be determined by combining a plurality of monitoring dimensions, and the accuracy and comprehensiveness of the early warning information are improved. Referring to fig. 1, fig. 1 is a system structure diagram in a possible application scenario, as shown in fig. 1, the system includes a database and a generating device, where the database stores a large amount of monitoring data, and the monitoring data may include trajectory data of a person collected by a collecting device, or may include data retained by a background server when the person performs operation processing on the internet; the generation device determines multiple pieces of monitoring data related to the target person according to the multiple pieces of acquired monitoring data, determines multiple pieces of abnormal information of the target person in each monitoring dimension according to multiple pieces of data information of the multiple pieces of monitoring data and an early warning triggering rule of the multiple monitoring dimensions, and comprehensively considers the abnormal information of the target person in each monitoring dimension, so that early warning information of the target person is determined.
Research shows that in the process of early warning in data processing, a dimensionality control scheme of a geographic position is generally adopted at the present stage, an entity is monitored according to the geographic position, and track data of the entity is obtained, so that data is analyzed.
Based on this, the embodiment of the application provides a method for generating early warning information, which generates the early warning information of a target person according to abnormal information of the target person in multiple monitoring dimensions and an early warning trigger rule corresponding to each monitoring dimension, so that monitoring data of the target person can be comprehensively analyzed in multiple monitoring dimensions, and the method is helpful for improving the comprehensiveness of analyzing the abnormal information of the target person and the accuracy of generating the early warning information of the target person.
Referring to fig. 2, fig. 2 is a flowchart of a method for generating warning information according to an embodiment of the present disclosure. As shown in fig. 2, a method for generating early warning information provided in an embodiment of the present application includes:
In the step, a target person to be monitored is determined according to a monitoring requirement, and a plurality of pieces of monitoring data corresponding to the target person and attribute information of each piece of monitoring data are acquired from a monitoring database according to person identification information of the target person to be monitored.
The person identification information of the target person may include identification information that can identify the target person, such as name information, identification number, Mobile phone number, certificate photo, certificate number, and the like of the target person, and may also include information that can locate the target person, such as a license plate number of the target person, a hardware address (Media Access Control or Media Access Control, MAC) of a Mobile phone, an International Mobile Subscriber identity number (International Mobile Subscriber identity number) of the Mobile phone, and the like.
Here, the monitoring data may be data acquired by a front-end acquisition device, such as face data acquired by a gate camera, an MAC address acquired by a WIFI fence, a vehicle image acquired by a vehicle gate camera, and the like; the data may also be data acquired by the back-end server, such as ticket purchasing information left in the background system when the user purchases tickets through the ticket purchasing system.
The attribute information of the monitoring data indicates what attribute the monitoring data represents, for example, the attribute information of a certain piece of monitoring data indicates that the monitoring data is a MAC address collected by a WIFI fence.
In the step, according to the attribute of the monitoring data indicated by each piece of monitoring data attribute information, which monitoring dimension the monitoring data belongs to is determined, and the monitoring data is divided into the corresponding monitoring dimensions, so that the abnormal information of the target person can be determined according to the monitoring dimensions in the following.
The monitoring dimension is determined according to monitoring requirements in a specific data application process, and can refer to a control scheme under a real-time early warning scene aiming at the field of public security data, the control scheme is different under different scenes, and the control scheme can comprise gathering, entering and exiting, ticket booking for designating a departure place and a destination, route designation and other scenes.
For example, the attribute information of a certain piece of monitoring data indicates that the monitoring data is a MAC address acquired by a WIFI fence, and during statistics, the WIFI fence belongs to a deployment and control scheme of aggregation and access, so that the monitoring data is divided into monitoring dimensions of aggregation and access for subsequent processing statistics.
In the step, on the same monitoring dimension, all monitoring data on the monitoring dimension and the early warning triggering rules corresponding to the monitoring dimension are determined according to the early warning triggering rules of the monitoring data indicated in the early warning triggering rules, and abnormal information of the target person on the monitoring dimension is determined.
Therefore, the early warning information of the target personnel can be generated according to the abnormal information of the target personnel on the monitoring dimension in the follow-up process.
And 204, determining early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and an early warning triggering rule corresponding to each monitoring dimension.
In the step, according to the abnormal information of the target person in each monitoring dimension and the early warning triggering rule corresponding to each monitoring dimension, the condition that each monitoring dimension generates early warning information is determined, and therefore the early warning information corresponding to the target person is determined.
Here, the condition for generating the warning information for each monitoring dimension indicated by the warning triggering rule may include whether the abnormal information of the target person in each monitoring dimension needs to be warned, and may also include whether other monitoring dimensions need to be combined during warning for the monitoring dimension.
The method for generating the early warning information, provided by the embodiment of the application, comprises the steps of obtaining personnel identification information of a target person, and obtaining a plurality of pieces of monitoring data of the target person and attribute information of each piece of monitoring data based on the personnel identification information; determining a monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data; aiming at the same monitoring dimension, determining abnormal information of the target personnel on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension; and determining the early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning trigger rule corresponding to each monitoring dimension.
Therefore, a plurality of pieces of monitoring data corresponding to the target personnel are obtained in the monitoring database according to the personnel identification information of the target personnel, the abnormal information of the target personnel is generated on each corresponding monitoring dimension according to the attribute information of each piece of monitoring data, the early warning information of the target personnel is generated according to the early warning triggering rule corresponding to each monitoring dimension in combination with other related monitoring dimensions, the monitoring data of the target personnel are comprehensively analyzed on a plurality of monitoring dimensions, and the comprehensiveness of the analysis of the abnormal information of the target personnel and the accuracy of the generation of the early warning information of the target personnel are improved.
Referring to fig. 3, fig. 3 is a flowchart of a method for generating warning information according to another embodiment of the present application. As shown in fig. 3, a method for generating early warning information provided in an embodiment of the present application includes:
301, obtaining personnel identification information of a target person, and obtaining a plurality of pieces of monitoring data of the target person and attribute information of each piece of monitoring data based on the personnel identification information.
And 304, acquiring the associated monitoring dimension and the weight value corresponding to the associated monitoring dimension when the early warning information of the target person is determined for each monitoring dimension indicated by the early warning trigger rule corresponding to each monitoring dimension.
In this step, after determining abnormal information of a target person in a monitoring dimension, whether other monitoring dimensions need to be combined or not according to the early warning information of the target person, which is indicated by an early warning trigger rule corresponding to the monitoring dimension, when the early warning information of the target person is generated, which is indicated by the early warning trigger rule corresponding to the monitoring dimension, if the early warning trigger rule indicates that other monitoring dimensions need to be combined, the weight of other associated dimensions associated with the monitoring dimension when determining the early warning information of the target person needs to be acquired.
Here, each different monitoring dimension has different corresponding early warning triggering rules, and some detection dimensions can directly generate early warning information of target personnel according to the early warning information of the target personnel in the own dimension; after the early warning information of the target person in the own dimension is determined, the early warning information of the target person in other monitoring dimensions is determined according to the abnormal information of the target person in other monitoring dimensions indicated by the early warning trigger rule corresponding to the monitoring dimension.
For example, when the deployment and control scheme includes aggregation and access, face information acquired by a bayonet camera of a target person in a preset area range is acquired, according to an early warning trigger rule corresponding to the aggregation and access deployment and control scheme, as long as the information of the target person is monitored in the monitoring dimension, an alarm is determined, and at the moment, the early warning information is not required to be directly generated in combination with other monitoring dimensions; when the control scheme includes ticket booking for a specified departure place and a specified destination, after the ticket booking information of the target person is found at the specified departure place and the specified destination, the early warning information indication in the monitoring dimension needs to determine the early warning information of the target person according to abnormal information in the monitoring dimension of the specified route, that is, the early warning information of the target person is generated only when the dimension of the departure place and the dimension of the destination meet the early warning triggering rule and the dimension of the specified route (such as a travel mode train, an airplane and the like) meets the early warning triggering rule.
And 305, performing linear weighting based on the weight value of each monitoring dimension and the weight value corresponding to the monitoring dimension associated with the monitoring dimension, and determining the early warning information of the target personnel.
In the step, each monitoring dimension specified by the early warning trigger rule and all monitoring dimensions associated with the monitoring dimension are linearly weighted according to corresponding weight values, so that early warning information of target personnel is obtained and displayed.
Here, the display of the warning information may be output in a table or graphic presentation manner at the front end. The field attributes of the early warning information generated through different monitoring dimensions are also different, for example, coordinate information such as geographic positions and the like is not included in ticket class information, and the information needs to be distinguished under a GIS view.
The descriptions of step 301 to step 303 may refer to the descriptions of step 201 to step 203, and the same technical effects can be achieved, which is not described in detail herein.
Optionally, step 302 includes: acquiring at least one piece of monitoring attribute information corresponding to each monitoring dimension; traversing each piece of attribute information of each piece of monitoring data, and determining monitoring attribute information matched with the attribute information; and determining the monitoring dimensionality corresponding to the monitoring attribute information matched with the attribute information as the monitoring dimensionality to which the corresponding monitoring data belongs.
In the step, aiming at each monitoring dimension, a lot of monitoring attribute information exists, the monitoring attribute information is used for dividing data information of different sources, the monitoring attribute information of each monitoring dimension and the attribute information of each piece of monitoring data of a target person are obtained, the monitoring data is matched with the monitoring attribute information of each dimension, and the monitoring dimension corresponding to the monitoring attribute information matched with the attribute information is determined as the monitoring dimension to which the corresponding monitoring data belongs.
For example, when the deployment and control scheme is aggregation and access, data collected by a gate camera, an MAC address collected by a WIFI fence, a vehicle image collected by a vehicle gate camera, and the like may exist in the monitoring dimension, and attribute information of a certain piece of monitoring data indicates that the monitoring data is the MAC address collected by the WIFI fence, so that the monitoring data belongs to the aggregation and access monitoring dimension.
Further, step 303 includes: detecting whether only one piece of monitoring data exists in the monitoring dimension; and if only one piece of monitoring data exists in the monitoring dimension, determining abnormal information of the target person on the monitoring dimension based on a trigger rule in an early warning trigger rule.
In the step, whether only one piece of monitoring data of the target person exists in the monitoring dimension is detected for the same monitoring dimension, if only one piece of monitoring data exists, the matched single piece of monitoring data triggering rule is found in the early warning triggering rule for the piece of monitoring data, and abnormal information of the target person in the detection dimension is generated according to the single piece of monitoring data.
For example, in the dimension of aggregation and access monitoring, only one piece of face data acquired by a bayonet camera exists in the current statistical time period, and the early warning trigger rule specifies that abnormal information is generated as long as face image information of a target person is acquired. Then generating abnormal information of the target person in the dimension of gathering and in-out monitoring according to the position information of the gate and the time information of the collected face information of the target person.
Further, after the detecting whether there is only one piece of monitoring data in the monitoring dimension, step 303 further includes: if the monitoring dimension has more than one piece of monitoring data, acquiring the appearance sequence of the attribute information of each piece of monitoring data in the early warning triggering rule and the weight value corresponding to each piece of attribute information; and determining abnormal information of the target personnel on the monitoring dimension based on each piece of monitoring data, the appearance sequence corresponding to each piece of monitoring data and the weight value corresponding to each piece of monitoring data.
In the step, whether only one piece of monitoring data of a target person exists in the monitoring dimension is detected for the same monitoring dimension, if the number of the monitoring data is more than one, an early warning trigger rule corresponding to the monitoring dimension is obtained, linear weighting is carried out according to the sequence of occurrence of the monitoring data indicated in the early warning trigger rule and a weight value corresponding to each attribute information, the linear weighting is compared with a preset threshold value, and if the linear weighting exceeds the preset threshold value, abnormal information of the target person in the monitoring dimension is generated according to the monitoring data.
For example, corresponding to the above example, in the aggregation and access monitoring dimension, in the current statistical time period, face data collected by three bayonet cameras, MAC addresses collected by two WIFI fences, and a vehicle image collected by one vehicle bayonet camera are collected, the face data collected by the three bayonet cameras are sorted according to collection time, the MAC addresses collected by the two WIFI fences are sorted according to collection time, an abnormal value is calculated according to a weight value of the bayonet camera, the weight value collected by the WIFI fence, and the weight value collected by the vehicle bayonet camera in the same collection time period, and if the abnormal value is greater than a preset threshold value, abnormal information of the target person in the aggregation and access monitoring dimension is generated.
The method for generating the early warning information, provided by the embodiment of the application, comprises the steps of obtaining personnel identification information of a target person, and obtaining a plurality of pieces of monitoring data of the target person and attribute information of each piece of monitoring data based on the personnel identification information; determining a monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data; aiming at the same monitoring dimension, determining abnormal information of the target personnel on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension; acquiring a related monitoring dimension and a weight value corresponding to the related monitoring dimension when the early warning information of the target person is determined for each monitoring dimension indicated by the early warning trigger rule corresponding to each monitoring dimension; and carrying out linear weighting based on the weight value of each monitoring dimension and the weight value corresponding to the monitoring dimension associated with the monitoring dimension, and determining the early warning information of the target personnel.
Therefore, a plurality of pieces of monitoring data corresponding to the target personnel are obtained in the monitoring database according to the personnel identification information of the target personnel, the abnormal information of the target personnel is generated on each corresponding monitoring dimension according to the attribute information of each piece of monitoring data, the early warning information of the target personnel is generated according to the early warning triggering rule corresponding to each monitoring dimension in combination with other related monitoring dimensions, the monitoring data of the target personnel are comprehensively analyzed on a plurality of monitoring dimensions, and the comprehensiveness of the analysis of the abnormal information of the target personnel and the accuracy of the generation of the early warning information of the target personnel are improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an early warning information generating device according to an embodiment of the present disclosure. As shown in fig. 4, the generating means 400 comprises:
the obtaining module 410 is configured to obtain person identification information of a target person, and obtain multiple pieces of detection data of the target person and attribute information of each piece of monitoring data based on the person identification information.
The first determining module 420 is configured to determine, based on the attribute information of each piece of monitoring data, a monitoring dimension to which each piece of monitoring data belongs.
The second determining module 430 is configured to determine, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension.
A third determining module 440, configured to determine the warning information of the target person based on each piece of abnormal information of the target person in each monitoring dimension and the warning triggering rule corresponding to each monitoring dimension.
Further, when the first determining module 420 is configured to determine the monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data, the first determining module 420 is further configured to:
acquiring at least one piece of monitoring attribute information corresponding to each monitoring dimension;
traversing each piece of attribute information of each piece of monitoring data, and determining monitoring attribute information matched with the attribute information;
and determining the monitoring dimensionality corresponding to the monitoring attribute information matched with the attribute information as the monitoring dimensionality to which the corresponding monitoring data belongs.
Further, when the second determining module 430 is configured to determine, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension, the second determining module 430 is further configured to:
detecting whether only one piece of monitoring data exists in the monitoring dimension;
and if only one piece of monitoring data exists in the monitoring dimension, determining abnormal information of the target person on the monitoring dimension based on a trigger rule in an early warning trigger rule.
Further, when the second determining module 430 is configured to determine, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension, the second determining module 430 is further configured to:
if the monitoring dimension has more than one piece of monitoring data, acquiring the appearance sequence of the attribute information of each piece of monitoring data in the early warning triggering rule and the weight value corresponding to each piece of attribute information;
and determining abnormal information of the target personnel on the monitoring dimension based on each piece of monitoring data, the appearance sequence corresponding to each piece of monitoring data and the weight value corresponding to each piece of monitoring data.
Further, when the third determining module 440 is configured to determine the warning information of the target person based on each abnormal information of the target person in each monitoring dimension and the warning triggering rule corresponding to each monitoring dimension, the third determining module 440 is further configured to:
acquiring a related monitoring dimension and a weight value corresponding to the related monitoring dimension when the early warning information of the target person is determined for each monitoring dimension indicated by the early warning trigger rule corresponding to each monitoring dimension;
and carrying out linear weighting based on the weight value of each monitoring dimension and the weight value corresponding to the monitoring dimension associated with the monitoring dimension, and determining the early warning information of the target personnel.
The generation device of the early warning information provided by the embodiment of the application acquires the personnel identification information of the target personnel, and acquires a plurality of pieces of monitoring data of the target personnel and attribute information of each piece of monitoring data based on the personnel identification information; determining a monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data; aiming at the same monitoring dimension, determining abnormal information of the target personnel on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension; and determining the early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning trigger rule corresponding to each monitoring dimension.
Therefore, a plurality of pieces of monitoring data corresponding to the target personnel are obtained in the monitoring database according to the personnel identification information of the target personnel, the abnormal information of the target personnel is generated on each corresponding monitoring dimension according to the attribute information of each piece of monitoring data, the early warning information of the target personnel is generated according to the early warning triggering rule corresponding to each monitoring dimension in combination with other related monitoring dimensions, the monitoring data of the target personnel are comprehensively analyzed on a plurality of monitoring dimensions, and the comprehensiveness of the analysis of the abnormal information of the target personnel and the accuracy of the generation of the early warning information of the target personnel are improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, when the electronic device 500 runs, the processor 510 communicates with the memory 520 through the bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of the method for generating the warning information in the method embodiments shown in fig. 2 and fig. 3 may be executed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for generating the warning information in the method embodiments shown in fig. 2 and fig. 3 may be executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes several 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 methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A generation method of early warning information is characterized by comprising the following steps:
acquiring personnel identification information of a target person, and acquiring a plurality of pieces of monitoring data of the target person and attribute information of each piece of monitoring data based on the personnel identification information;
determining a monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data;
aiming at the same monitoring dimension, determining abnormal information of the target personnel on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension;
and determining the early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning trigger rule corresponding to each monitoring dimension.
2. The generation method according to claim 1, wherein the determining, based on the attribute information of each piece of monitoring data, the monitoring dimension to which each piece of monitoring data belongs includes:
acquiring at least one piece of monitoring attribute information corresponding to each monitoring dimension;
traversing each piece of attribute information of each piece of monitoring data, and determining monitoring attribute information matched with the attribute information;
and determining the monitoring dimensionality corresponding to the monitoring attribute information matched with the attribute information as the monitoring dimensionality to which the corresponding monitoring data belongs.
3. The generation method of claim 1, wherein the determining, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning trigger rule corresponding to the monitoring dimension includes:
detecting whether only one piece of monitoring data exists in the monitoring dimension;
and if only one piece of monitoring data exists in the monitoring dimension, determining abnormal information of the target person on the monitoring dimension based on a trigger rule in an early warning trigger rule.
4. The generation method according to claim 3, wherein after the detecting whether there is only one piece of monitoring data in the monitoring dimension, the determining, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning trigger rule corresponding to the monitoring dimension further includes:
if the monitoring dimension has more than one piece of monitoring data, acquiring the appearance sequence of the attribute information of each piece of monitoring data in the early warning triggering rule and the weight value corresponding to each piece of attribute information;
and determining abnormal information of the target personnel on the monitoring dimension based on each piece of monitoring data, the appearance sequence corresponding to each piece of monitoring data and the weight value corresponding to each piece of monitoring data.
5. The generation method of claim 1, wherein the determining the early warning information of the target person based on each piece of abnormal information of the target person in each monitoring dimension and the early warning trigger rule corresponding to each monitoring dimension comprises:
acquiring a related monitoring dimension and a weight value corresponding to the related monitoring dimension when the early warning information of the target person is determined for each monitoring dimension indicated by the early warning trigger rule corresponding to each monitoring dimension;
and carrying out linear weighting based on the weight value of each monitoring dimension and the weight value corresponding to the monitoring dimension associated with the monitoring dimension, and determining the early warning information of the target personnel.
6. An early warning information generation device, characterized in that the generation device comprises:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for acquiring personnel identification information of a target person and acquiring a plurality of pieces of detection data of the target person and attribute information of each piece of monitoring data based on the personnel identification information;
the first determining module is used for determining the monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data;
the second determining module is used for determining abnormal information of the target person on the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning triggering rule corresponding to the monitoring dimension aiming at the same monitoring dimension;
and the third determining module is used for determining the early warning information of the target personnel based on each piece of abnormal information of the target personnel in each monitoring dimension and the early warning triggering rule corresponding to each monitoring dimension.
7. The generating apparatus according to claim 6, wherein the first determining module, when configured to determine the monitoring dimension to which each piece of monitoring data belongs based on the attribute information of each piece of monitoring data, is further configured to:
acquiring at least one piece of monitoring attribute information corresponding to each monitoring dimension;
traversing each piece of attribute information of each piece of monitoring data, and determining monitoring attribute information matched with the attribute information;
and determining the monitoring dimensionality corresponding to the monitoring attribute information matched with the attribute information as the monitoring dimensionality to which the corresponding monitoring data belongs.
8. The generation apparatus according to claim 6, wherein the second determination module, when configured to determine, for the same monitoring dimension, abnormal information of the target person in the monitoring dimension based on at least one piece of monitoring data corresponding to the monitoring dimension and an early warning trigger rule corresponding to the monitoring dimension, is further configured to:
detecting whether only one piece of monitoring data exists in the monitoring dimension;
and if only one piece of monitoring data exists in the monitoring dimension, determining abnormal information of the target person on the monitoring dimension based on a trigger rule in an early warning trigger rule.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the warning information generating method according to any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, performs the steps of the warning information generation method according to any one of claims 1 to 5.
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