CN113625603A - Security monitoring management system and management method based on big data - Google Patents
Security monitoring management system and management method based on big data Download PDFInfo
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Abstract
The invention discloses a security monitoring management system based on big data, wherein a timing unit sends a deleting signal to a control management unit according to whether a deleting period is reached, the control management unit calls monitoring information in the deleting period and generates pre-screening information, the control management unit sends a screening signal to an information screening unit, the information screening unit responds to the signal, screens out video pictures without human body actions according to a training model and adopts a marker to identify the video pictures, the information screening unit sends a sorting signal to a big data learning unit, the big data learning unit sends a secondary screening signal to a repeated screening unit after sorting and analysis, the big data learning unit sends the deleting signal to a deleting control unit, the deleting control unit responds to the signal, deletes corresponding information and generates secondary screening information; the pressure of the storage space can be reduced, the requirement can be met by adopting a smaller storage space, the generation cost is reduced, and the problems of lower storage efficiency and inconvenient use are solved.
Description
Technical Field
The invention relates to the field of security monitoring, in particular to a security monitoring management system and a security monitoring management method based on big data.
Background
At present, a security monitoring system is an independent and complete system formed by transmitting video signals in a closed loop by using optical fibers, coaxial cables or microwaves, and shooting, image display and recording. It can real-time, vividly and truly reflect the monitored object, can replace the manual work to carry out long-time monitoring under the severe environment, and is recorded by the video recorder. Meanwhile, the alarm system equipment alarms illegal intrusion.
Patent document with application number "CN 202011318075.6" discloses an intelligent security big data monitoring system, which comprises a plurality of data acquisition nodes, a data processing center, a cloud storage unit and a plurality of data access terminals; the data acquisition nodes are used for acquiring video monitoring data of each place and transmitting the video monitoring data to the data processing center; the data processing center is used for processing the received video monitoring data and uploading the processed data to the cloud storage unit; the cloud storage unit is used for classifying and storing the uploaded processed data and setting different access rights for different types of data; and the data access terminal is used for accessing the data in the access authority according to the size of the access authority of the data access terminal.
Patent document with application number "CN 201910622268.1" discloses a security monitoring system based on big data, which comprises a data source layer and a Hadoop cluster service layer; the data source layer sends real-time data to the Hadoop cluster service layer through an access gateway; the Hadoop cluster service layer comprises a plurality of cluster nodes and distributed computing units; the real-time data distribution is stored in a cluster node; the distributed computing unit decomposes the real-time data which are distributed and stored in different cluster nodes, performs parallel computing according to the principle of proximity to obtain data elements, and sends the data elements to the client. The distributed storage architecture and the node distributed computing architecture are adopted, a large amount of video analysis and computation can be performed in parallel, the node distributed computing architecture is utilized, a large amount of video analysis and computation can be performed in parallel, and the storage and processing of security monitoring big data are more efficient.
Patent document with application number "CN 202010712858.6" discloses a big data security monitoring system, which includes: a data acquisition module: the system comprises a monitoring server and a monitoring server, wherein the monitoring server is used for acquiring security monitoring data, and the acquired security monitoring data comprise video monitoring data, audio monitoring data and monitoring position positioning data; the data preprocessing module is used for preprocessing the acquired security monitoring data; rejecting abnormal bad point data existing in the security monitoring original data; smoothing or fitting the security monitoring data, and uploading the acquired security monitoring data to a cloud platform processing module and a block chain platform processing module through a gateway; the block chain platform processing module is used for encrypting and analyzing the security data; and the cloud platform processing module is used for performing distributed storage on the security data through a docker mirror image technology and forming mirror image persistent storage in a distributed file system of the docker warehouse.
The above patent document discloses that the security monitoring system in the prior art has the following defects:
1. the security monitoring system on the market generally has low information storage efficiency, and if all kinds of information are stored in a full storage mode, the security monitoring system has high requirements on storage memory and high cost.
2. Some security monitoring systems on the market adopt a mode of regular storage, and delete information in a fixed period, so that although storage space can be saved, problems can occur to storage of important information, and the security monitoring systems are inconvenient to use.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a security monitoring management system based on big data, which can solve the problems of low storage efficiency and inconvenient use.
One of the purposes of the invention is realized by adopting the following technical scheme:
a security monitoring management system based on big data comprises a monitoring system, a control management unit, a big data learning unit, a storage unit, a timing unit, an information screening unit, a repeated screening unit and a deletion control unit, wherein the monitoring system is used for collecting video monitoring information and generating monitoring data, and is respectively connected with the control management unit and the big data learning unit; the big data learning unit is used for learning according to the processing of the control management unit on the monitoring data and generating a training model, and continuously training until the degree of automatic processing is reached; the storage unit is used for storing monitoring data and is respectively connected with the control management unit and the deletion control unit; the timing unit is used for calculating a deletion period, the timing unit is respectively connected with the control management unit, the information screening unit and the repeated screening unit, the information screening unit is used for screening important information and identification in one period, the repeated screening unit is used for screening important information and identification in multiple periods, and the deletion control unit is respectively connected with the information screening unit and the repeated screening unit and is used for deleting information in the storage unit.
Further, the timing unit includes a period setting unit and a period calculating unit, the period setting unit and the period calculating unit are respectively connected with the control management unit, the period setting unit plans the length of the deletion period, and the period calculating unit identifies that the current time is in the deletion period.
Furthermore, the monitoring system comprises a plurality of monitoring ends, the monitoring ends are connected with the control management unit and the storage unit, the monitoring ends are provided with GPS locators, markers are arranged on the GPS locators, and the GPS locators are in communication connection with the control management unit.
Further, the storage unit is provided with a basic information storage unit and a screening information storage unit, the basic information storage unit is connected with the screening information storage unit, and the basic information storage unit and the screening information storage unit are respectively connected with the information screening unit, the repeated screening unit and the deletion control unit.
Further, the storage space of the basic information storage unit is 2-5 times of that of the screening information storage unit.
Further, the information screening unit is provided with a video identification unit for identifying important information, and the video identification unit is connected with the big data learning unit.
A security monitoring management method based on big data is applied to a security monitoring management system based on big data, and comprises the following steps:
an information collection step: the monitoring system collects various monitored information and generates information to be stored;
information prestoring step: the information to be stored is stored in the storage unit through the control management unit, and the information to be screened is generated;
a preliminary deletion step: the big data learning unit carries out primary screening and identification on information to be screened according to artificially set training habits, and the deletion control unit deletes the identified information to generate primary screening data;
and a secondary deletion step: the timing unit detects whether a set deleting period is reached, if yes, the information screening unit carries out secondary screening and identification, and the deleting control unit deletes the identified information to generate secondary screening data;
and (3) three deletion steps: the timing unit sets a re-screening period, detects whether the set re-screening period is reached, if so, the information screening unit performs three-time screening and identification, and the deletion control unit deletes the identified information to generate three-time screening data.
Further, in the preliminary deletion step, the big data learning unit screens out and deletes a picture which is still for a long time.
Further, in the secondary deletion step, the information screening unit identifies and deletes the videos which do not contain numbers, persons and animals.
Further, in the three deletion steps, the information screening unit identifies and deletes the video which does not contain the number.
Compared with the prior art, the invention has the beneficial effects that:
the monitoring system is respectively connected with the control management unit and the big data learning unit; the big data learning unit is used for learning according to the processing of the control management unit on the monitoring data and generating a training model, and continuously training until the degree of automatic processing is reached; the storage unit is used for storing monitoring data and is respectively connected with the control management unit and the deletion control unit; the timing unit is used for calculating a deletion period, the timing unit is respectively connected with the control management unit, the information screening unit and the repeated screening unit, the information screening unit is used for screening important information and identification in one period, the repeated screening unit is used for screening important information and identification in multiple periods, and the deletion control unit is respectively connected with the information screening unit and the repeated screening unit and is used for deleting information in the storage unit. On one hand, the big data learning unit, the information screening unit and the repeated screening unit are adopted to carry out continuous screening of video monitoring information, the pressure of a storage space can be reduced, the requirement can be met by adopting a smaller storage space, the generation cost is reduced, on the other hand, continuous multiple times of deletion is carried out by adopting a mode of setting a deletion period, the deletion rate of important information can be reduced, the information storage efficiency is improved, the information screening efficiency and the information screening speed of security information are further improved, and the problems of low storage efficiency and inconvenience in use are solved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a block diagram of a security monitoring and management system based on big data according to a preferred embodiment of the present invention;
FIG. 2 is a block diagram of a monitoring system;
FIG. 3 is a block diagram of the structure of the operation of the big data learning unit;
fig. 4 is a flowchart of the operation of the information filtering unit and the repeated filtering unit.
In the figure: 100. a security monitoring management system based on big data; 110. a monitoring system; 120. a control management unit; 130. a big data learning unit; 140. a storage unit; 150. a timing unit; 160. an information screening unit; 170. repeating the screening unit; 180. and deleting the control unit.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1 to 4, a security monitoring management system 100 based on big data includes a monitoring system 110, a control management unit 120, a big data learning unit 130, a storage unit 140, a timing unit 150, an information screening unit 160, a repeated screening unit 170, and a deletion control unit 180, where the monitoring system 110 is configured to collect video monitoring information and generate monitoring data, and the monitoring system 110 is connected to the control management unit 120 and the big data learning unit 130 respectively; the control management unit 120 sends a monitoring instruction to the monitoring system 110, the monitoring system 110 executes the monitoring instruction and performs real-time monitoring, the monitoring system 110 generates monitoring data and sends the monitoring data to the storage unit 140, and the storage unit 140 sends a storage completion instruction to the control management unit 120.
The control management unit 120 sends a training instruction to the big data learning unit 130, the big data learning unit 130 executes the training instruction, processes and learns the monitoring data and generates a training model, the big data learning unit 130 sends the training model to the control management unit 120, the big data learning unit 130 is used for learning according to the processing of the monitoring data by the control management unit 120 and generating the training model, and the training is continued until the degree of automatic processing is reached; the storage unit 140 is configured to store monitoring data, and the storage unit 140 is connected to the control management unit 120 and the deletion control unit 180, respectively; the timing unit 150 is configured to calculate a deletion period, the timing unit 150 is respectively connected to the control management unit 120, the information screening unit 160, and the repeated screening unit 170, the information screening unit 160 is configured to screen out important information and identify in one period, the repeated screening unit 170 is configured to screen out important information and identify in multiple periods, and the deletion control unit 180 is respectively connected to the information screening unit 160 and the repeated screening unit 170 and configured to delete information in the storage unit 140.
Specifically, the control management unit 120 performs an integration analysis on the information of the monitoring system 110 and sends a control command to the storage unit 140, the timing unit 150, the information screening unit 160, the repeated screening unit 170, and the deletion control unit 180, the timing unit 150 includes a period setting unit and a period calculating unit, the period setting unit sets a timing period T, the period calculating unit monitors whether the timing period T is reached and transmits a signal to the deletion control unit 180 to delete the corresponding information, the control management unit 120 sends a period setting command to the period setting unit, the period setting unit sets the timing period T and sends the timing period T to the control management unit 120, the control management unit 120 sends a time calculating command to the period calculating unit, the period calculating unit times, and when the timing period T is reached, the period calculating unit sends an expiration signal to the control management unit 120, the control management unit 120 sends an information screening signal to the information screening unit 160, the information screening unit 160 screens and identifies deletion information and sends a deletion instruction to the deletion control unit 180 for information deletion, the deletion control unit 180 sends a completion signal to the control management unit 120, the control management unit 120 sends a re-screening instruction to the re-screening unit 170, the re-screening unit 170 screens and identifies deletion information and sends a deletion instruction to the deletion control unit 180 for information deletion, and the deletion control unit 180 sends a completion signal to the control management unit 120.
On one hand, the big data learning unit 130, the information screening unit 160 and the repeated screening unit 170 are adopted to continuously screen the video monitoring information, so that the pressure of a storage space can be reduced, the requirement can be met by adopting a smaller storage space, and the generation cost is reduced.
Preferably, the timing unit 150 includes a period setting unit and a period calculating unit, the period setting unit and the period calculating unit are respectively connected to the control management unit 120, the period setting unit is used for setting the length of the deletion period, and the period calculating unit identifies that the current time is in the deletion period. The purpose of setting the cycle setting unit and the cycle calculating unit is to: the control management unit 120 and the big data learning unit 130 can draft different deleting periods according to different months or years, so as to improve the utilization rate.
Preferably, the monitoring system 110 includes a plurality of monitoring terminals, the monitoring terminals are connected to the control management unit 120 and the storage unit 140, the monitoring terminals are provided with GPS locators, the GPS locators are provided with identifiers, and the GPS locators are in communication connection with the control management unit 120. The control management unit 120 sends a position instruction to the GPS locator, the GPS locator sends position information to the control management unit 120, specifically, the control management unit 120 sends an identification instruction to the identifier, the identifier identifies the position information, and the purpose of setting the GPS locator is as follows: the problem of mixed information output is solved, and the source of the current video information can be directly found out.
Preferably, the storage unit 140 is provided with a basic information storage unit 140 and a screening information storage unit 140, the basic information storage unit 140 is connected to the screening information storage unit 140, and the basic information storage unit 140 and the screening information storage unit 140 are respectively connected to the information screening unit 160, the repeated screening unit 170 and the deletion control unit 180. The storage space of the basic information storage unit 140 is 2-5 times of that of the screening information storage unit 140. The basic information storage unit 140 and the screening information storage unit 140 are used for hierarchical storage, so that the storage efficiency is improved.
Preferably, the information filtering unit 160 is provided with a video recognition unit for recognizing important information, and the video recognition unit establishes a connection with the big data learning unit 130.
A security monitoring management method based on big data is applied to a security monitoring management system based on big data, and comprises the following steps:
step S101, a monitoring system collects real-time video pictures of each monitoring terminal, generates real-time monitoring information and stores the real-time monitoring information into a storage unit;
step S102, the input unit sends a period setting instruction to the period setting unit according to the requirement of a user;
in step S103, the period setting unit sets the deletion period T0.
In step S104, the period calculating unit determines whether or not the deletion period T0 is reached.
And step S105, the period calculation unit sends a deletion signal to the control management unit, and the control management unit receives and responds to the deletion signal, calls the monitoring information in the deletion period and generates pre-screening information.
Step S106, screening out video pictures which do not contain human body actions according to the training model and identifying the video pictures by adopting an identifier;
step S107, adjusting the training model, and again not including the video picture of the human body action;
and step S108, sorting and analyzing whether the identified signals meet the requirements.
And step S109, deleting the identified information to generate secondary screening information.
Step S1010, adjusting the screening criteria, and reconfirming the criteria including the limb contact.
Step S1011, identify the video that does not include limb contact in the secondary screening information.
Step S1012, again sorting and analyzing whether the identified signal meets the requirements.
In step S1013, the deletion control unit deletes the identified information.
In step S1014, the big data learning unit completes learning of the training and screening criteria.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (9)
1. The utility model provides a security protection monitoring management system based on big data which characterized in that includes:
the monitoring system is connected with the storage unit and stores the real-time monitoring information into the storage unit;
the control management unit is used for receiving, correspondingly processing the information feedback of each unit and sending an information instruction;
the big data learning unit is used for sorting and analyzing the screened video information and checking whether the video information meets the requirements or not;
the storage unit is used for storing video information of the monitoring system;
the timing unit is used for setting a deletion period and calculating whether the timing period is reached;
the information screening unit is used for screening out video pictures which do not contain human body actions and identifying the video pictures by adopting an identifier;
the repeated screening unit is used for screening out video pictures which do not contain limb contact and identifying the video pictures by adopting an identifier;
the deletion control unit is used for executing the deletion instruction sent by the information screening unit and the repeated screening unit and deleting the video information identified in the storage unit;
the timing unit sends a deleting signal to the control management unit according to whether a deleting period is reached, the control management unit receives, correspondingly calls monitoring information in the deleting period and generates pre-screening information, the control management unit sends a screening signal to the information screening unit, the information screening unit screens out video pictures which do not contain human body actions according to a training model and adopts a marker for marking, the information screening unit sends a sorting signal to the big data learning unit, the big data learning unit sends a secondary screening signal to the repeated screening unit after responding to the signal and sorting and analyzing, the big data learning unit sends the deleting signal to the deleting control unit, the deleting control unit responds to the signal and deletes corresponding information and generates secondary screening information; the repeated screening unit identifies and deletes the video which does not contain the limb contact.
2. The big data based security monitoring management system according to claim 1, wherein: the timing unit comprises a period setting unit and a period calculating unit, the period setting unit and the period calculating unit are respectively connected with the control management unit, the period setting unit plans the length of the deleting period, and the period calculating unit marks that the current time is in the deleting period.
3. The big data based security monitoring management system according to claim 1, wherein: the monitoring system comprises a plurality of monitoring ends, the monitoring ends are connected with the control management unit and the storage unit, the monitoring ends are provided with GPS locators, markers are arranged on the GPS locators, and the GPS locators are in communication connection with the control management unit.
4. The big data based security monitoring management system according to claim 1, wherein: the storage unit is provided with a basic information storage unit and a screening information storage unit, the basic information storage unit is connected with the screening information storage unit, and the basic information storage unit and the screening information storage unit are respectively connected with the information screening unit, the repeated screening unit and the deletion control unit.
5. The big data based security monitoring management system according to claim 4, wherein: the storage space of the basic information storage unit is 2-5 times of that of the screening information storage unit.
6. The big data based security monitoring management system according to claim 1, wherein: the information screening unit is provided with a video identification unit for identifying important information, and the video identification unit is connected with the big data learning unit.
7. A security monitoring management method based on big data is applied to the security monitoring management system based on big data in any one of claims 1 to 6, and is characterized by comprising the following steps:
an information collection step: the monitoring system collects real-time video pictures of each monitoring terminal, generates real-time monitoring information and stores the real-time monitoring information into a storage unit;
a period setting step: the input unit sends a period setting instruction to the period setting unit according to the requirement of a user, and the period setting unit sets a deleting period T0;
timing: the period calculating unit starts timing, and if the period calculating unit judges that the deleting period is reached, the next step is executed;
a preliminary deletion step: the period calculation unit sends a deletion signal to the control management unit, the control management unit receives and responds to the deletion signal and calls monitoring information in a deletion period to generate pre-screening information, and the information screening unit screens out video pictures which do not contain human body actions according to the training model and marks the video pictures by adopting a marker;
a first judging step: the big data learning unit analyzes and arranges whether the identified information meets the requirements, if so, the next step is carried out, and if not, the training model is adjusted to be screened again;
a primary deletion step: the big data learning unit sends a deleting instruction to the deleting control unit, and the deleting control unit receives, responds and executes the deleting instruction, deletes corresponding information and generates secondary screening information;
and (3) screening again: the repeated screening unit screens out videos which do not contain limb contact from the secondary screening information and identifies the videos;
a secondary judgment step: the big data learning unit analyzes and arranges whether the identified information meets the requirements, if so, the next step is carried out, and if not, the screening standard is adjusted for re-screening;
and a secondary deletion step: the deletion control unit deletes the identified information.
8. The security monitoring management method based on big data as claimed in claim 7, characterized in that: in the preliminary deletion step, the big data learning unit screens and deletes the pictures which are still for a long time.
9. The security monitoring management method based on big data as claimed in claim 7, characterized in that: in the secondary deletion step, the information screening unit identifies and deletes the videos which do not contain numbers, persons and animals.
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