CN110533889B - Sensitive area electronic equipment monitoring and positioning device and method - Google Patents
Sensitive area electronic equipment monitoring and positioning device and method Download PDFInfo
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- CN110533889B CN110533889B CN201910811567.XA CN201910811567A CN110533889B CN 110533889 B CN110533889 B CN 110533889B CN 201910811567 A CN201910811567 A CN 201910811567A CN 110533889 B CN110533889 B CN 110533889B
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- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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Abstract
The invention discloses a device and a method for monitoring and positioning electronic equipment in a sensitive area. The monitoring and positioning device comprises an equipment security level division module, an equipment behavior acquisition module, a threat level division module and an early warning response module; the equipment security level division module carries out level division on the sensitivity and security categories of different electronic equipment inside and outside the monitoring area according to the specific situation of the sensitive area; the device behavior acquisition module performs deep learning preprocessing on device pictures with different security levels, trains to form a device model, and performs device pattern acquisition on a monitored area; the threat grading module is used for grading threats according to the security level of the equipment and the track of the electronic equipment; and the early warning response module performs early warning processing according to the threat level. The method and the system are used for managing the electronic equipment in the sensitive area, avoid the safety problem caused by illegal movement and use of the electronic equipment in the sensitive area, are beneficial to improving the safety control working efficiency of the sensitive area and saving the physical safety and information safety monitoring cost.
Description
Technical Field
The invention relates to a device and a method for monitoring and positioning electronic equipment in a sensitive area.
Background
Video monitoring is a main means of physical safety protection of a current sensitive area, and the means is mainly used for identifying illegal persons and illegal behaviors by naked eyes in real-time checking, afterwards playback and other ways. The development of artificial intelligence technologies such as image recognition enables the applications such as an access control system based on face recognition and vehicle management and control based on license plate recognition to be developed rapidly. The identification of moving objects can be realized based on radar technologies such as electromagnetism and infrared, but it is difficult to identify static objects and small objects and distinguish the objects. On the other hand, the development of the internet of things and the mobile internet enables electronic equipment in the physical environment of the key industry to show a diversified trend, and a technical means is needed to assist in safety management. In addition, physical isolation is an effective means for network security protection, but faces intrusion threats such as monitoring, photographing, networking and the like brought by illegal electronic equipment and unmanned devices.
Therefore, it is urgently needed to provide an intelligent image recognition, positioning and track tracking method for objects such as electronic equipment and the like, further establish a new means for monitoring and positioning the electronic equipment, provide a new method for identity recognition, behavior recognition and threat assessment with 'object' as a center, get rid of the limitations of traditional manual recognition, face recognition or behavior recognition, and realize graded monitoring and early warning, thereby providing enhanced physical environment safety and network information safety guarantee for key information infrastructure and sensitive areas thereof.
Disclosure of Invention
In order to overcome the above disadvantages of the prior art, the present invention provides a device and a method for monitoring and positioning electronic equipment in a sensitive area.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a sensitive area electronic equipment monitoring and positioning device comprises an equipment security level division module, an equipment behavior acquisition module, a threat level division module and an early warning response module;
the equipment security level division module carries out level division on the sensitivity and security categories of different electronic equipment inside and outside the monitoring area according to the specific situation of the sensitive area;
the device behavior acquisition module performs deep learning preprocessing on the pictures of the electronic devices with different security levels, trains to form an electronic device model, and performs electronic device pattern acquisition on a monitoring area;
the threat grading module carries out threat grading according to the security category of the electronic equipment and the track of the electronic equipment;
and the early warning response module performs early warning processing according to the threat level.
The invention also provides a method for monitoring and positioning the electronic equipment in the sensitive area, which comprises the following steps:
the method comprises the following steps of firstly, collecting an environment template, wherein the environment template is collected once when the starting preparation work is carried out;
continuously acquiring frame pictures of the monitoring pictures, identifying and positioning the electronic equipment in the frame pictures, and judging whether new electronic equipment appears or not according to a comparison result of the environment template and the real-time pictures;
and when new electronic equipment appears, performing the following steps:
step three, judging the safety type of the electronic equipment;
determining a threat level according to the safety type of the electronic equipment, the running track of the electronic equipment and a threat level division standard;
fifthly, performing corresponding early warning processing according to the determined threat level;
and under the condition that no new electronic equipment is present, performing the steps from six to seven:
step six, extracting coordinates of the electronic equipment of the frame picture, and comparing whether the coordinates change with the picture of the previous frame;
step seven, if the coordinate is not changed, the processing of the frame picture is finished; and if the coordinates are changed, determining the threat level according to the movement condition of the electronic equipment and the threat level division standard, and finishing the processing of the frame picture after corresponding early warning measures.
Compared with the prior art, the invention has the following positive effects:
the invention can characterize the historical motion track of the electronic equipment in any time period of the monitoring area, provides a pair of perspective eyes for the management of the electronic equipment in the sensitive area, is beneficial to tracing the threat source in time, avoids the safety problem caused by the electronic equipment in the sensitive area, and is beneficial to improving the working efficiency and saving the monitoring cost.
Drawings
The invention will now be described, by way of example, with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of functional modules of a monitoring and positioning device for electronic equipment in a sensitive area.
Fig. 2 is a flowchart of a method for monitoring and positioning electronic devices in a sensitive area.
Detailed Description
The embodiment of the invention provides a monitoring and positioning device of electronic equipment in a sensitive area, which comprises an equipment security level division module, an equipment behavior acquisition module, a threat level division module and an early warning response module. Through foretell monitoring positioning device, to sensitive region, through the fixed monitoring area of fixed camera, realize real-time intelligent monitoring and the early warning to different security level electronic equipment orbit behaviors. Comparing the object identification and positioning algorithm with the environment template to judge whether new electronic equipment enters or not, whether illegal electronic equipment enters or not and the like; by extracting the coordinates of the electronic equipment in the monitoring area, the coordinate change is compared in real time, and whether the electronic equipment is moved or moved out or not in the area is analyzed according to the coordinate change. And threat levels in the area are divided according to the security level of the electronic equipment and the track behavior of the electronic equipment, semantic descriptions are intelligently output according to different threat levels, and early warning response is carried out in time. The invention can graphically represent the historical motion track of the electronic equipment in any time period of the monitoring area, further judge the abnormal condition of the electronic equipment in the sensitive area through manual assistance, provide a pair of perspective eyes for the management of the electronic equipment in the sensitive area, facilitate the timely tracing of threat sources, avoid the safety problem caused by the electronic equipment in the sensitive area, and simultaneously contribute to improving the working efficiency and saving the monitoring cost. Specifically, the method comprises the following steps:
the equipment security level division module performs level division on the sensitivity degree and security category of different electronic equipment inside and outside the monitored area according to the specific situation of the sensitive area, wherein the divided levels comprise common electronic equipment (authorized), sensitive electronic equipment (authorized) and illegal electronic equipment (unauthorized), so as to be used as a basis for classifying, identifying and evaluating threat levels.
The device behavior acquisition module acquires images of electronic devices in a fixed monitoring area through a fixed wide-angle camera, performs deep learning preprocessing on pictures of the electronic devices with different security levels, and trains to form an electronic device model. The method comprises the steps of identifying and positioning the electronic equipment in the monitoring area, judging whether new electronic equipment appears or not and whether illegal electronic equipment enters the monitoring area or not, extracting coordinates of the electronic equipment in the monitoring area through the positioning of the electronic equipment, comparing the coordinate changes in real time, and obtaining behaviors of the monitored electronic equipment according to the coordinate changes and the motion trail.
Specifically, the function of the device behavior acquisition module is realized by the following steps:
s1, determining an electronic equipment model, and collecting an environment template;
step S1 includes:
s11, according to the division of the security classes of electronic equipment of different security classes and other special or novel electronic equipment by the equipment security class division module, performing labeling pretreatment on the divided electronic equipment classes, establishing an electronic equipment class sample library, taking the labeled electronic equipment classes as the input of a deep learning training process, and forming an electronic equipment model through deep learning and training;
and S12, taking the image collection record in the monitoring area as a comparison template.
S2, identifying and positioning electronic equipment in a monitoring area;
step S2 includes:
s21, extracting the electronic equipment in the environment template collected in the step S1, and judging the type, the number and the position of the electronic equipment;
and S22, operating a deep learning identification program to identify and analyze the real-time picture of the image acquisition record, positioning the identified electronic equipment in a frame selection mode, and judging whether new authorized electronic equipment or illegal electronic equipment enters a monitoring area.
S3, extracting coordinates of the electronic equipment in the monitoring area, and comparing and analyzing the coordinates with a template;
step S3 includes:
s31, respectively extracting the coordinates of the related electronic equipment according to the identification and positioning of the electronic equipment in the environment template and the real-time picture in the step S2;
s32, comparing the coordinate position of the electronic equipment in the real-time picture with the coordinate of the electronic equipment in the environment template so as to judge the position change condition of the original electronic equipment in the environment template;
s33, calculating the coordinate change of the specific electronic equipment according to the positioning of the electronic equipment in the monitoring area, and determining the moving track of the electronic equipment;
and S34, if the original electronic equipment is monitored to move or new electronic equipment enters a monitoring area, recording the new electronic equipment, wherein the recorded content comprises key information such as the moving track, the displacement time, the electronic equipment behavior picture and the like of the electronic equipment with different safety categories in the monitoring area, and forming a log record.
The electronic equipment which is unchanged or has smaller displacement within a settable range after being compared with the template is not recorded, the time frequency of a recording log formed by the changed electronic equipment is preset to be 1 second, and the specific time interval can be adjusted according to different environments and requirements.
The threat level classification module may classify the threat level into four levels according to the security category of the electronic device and different trajectory behaviors of the electronic device. See table 1.
TABLE 1 threat level comparison table for electronic equipment in sensitive area
Specifically, the method comprises the following steps:
the first-level threat means that the original common electronic equipment moves in a monitoring area;
the secondary threat means that new common electronic equipment enters a monitoring area or original sensitive electronic equipment moves in the monitoring area;
the third-level threat means that the original common electronic equipment is moved out of the monitoring area, or new sensitive electronic equipment enters the monitoring area;
the four-level threat means that the original sensitive electronic equipment is brought out of the monitoring area or illegal electronic equipment enters the monitoring area.
And for the determined threat level, combining the log record to carry out intelligent semantic description output. And particularly, outputting corresponding text and voice alarm information for the determined threat level in the monitored area. For example: if an illegal electronic device xxx enters, outputting descriptive voice and characters: "four-level threat: presence of illegal electronic devices xxx "within the area; if the xxx of the original common electronic equipment is moved out of the monitoring area, outputting: "third-level threat: and the ordinary electronic equipment xxx is moved out of the monitoring area ", and the corresponding semantic description is output according to the threat level in other cases.
And the early warning response module performs corresponding early warning processing according to the assessed threat level and the corresponding semantic description. In the early warning measure, the recorded log is checked by the manager at any time. Please refer to table 2.
TABLE 2 concrete early warning measure comparison table
Specifically, the method comprises the following steps:
early warning measures for the first-level threat include: and outputting the motion trail of the electronic equipment.
Early warning measures for secondary threats include: and outputting the motion track of the electronic equipment and flashing a warning lamp. The warning light is automatically turned off after continuously flashing for a certain time, and the flashing time is preset to be 30 seconds, and can also be set according to specific requirements.
Early warning measures for third-level threats include: and outputting the motion track of the electronic equipment, flashing a warning light and giving out a sound alarm. The flashing warning lamp cannot be automatically turned off, and needs to be manually turned off after being confirmed by a manager; for sound alarm, alarm intervals are not set, so that the effect of continuous warning is achieved, and the alarm intervals can be carried out according to specific needs.
The early warning measures for the four-level threat comprise: and outputting the motion track of the electronic equipment, flashing a warning lamp, giving an alarm by sound, and informing a security department. The flashing warning lamp cannot be automatically turned off, and needs to be manually turned off after being confirmed by a manager; for sound alarm, alarm intervals are not set, so that the effect of continuous warning is achieved, and the alarm intervals can be carried out according to specific needs; and for the security protection department, the notification is continued, and after the security protection department confirms that the message is received, the notification is finished.
The embodiment of the invention also provides a method for monitoring and positioning the electronic equipment in the sensitive area, which comprises the following steps:
the method comprises the following steps that firstly, an image acquisition module acquires an environment template, and the environment template is acquired only once when the computer is started to prepare for work.
Continuously acquiring frame pictures of the monitoring pictures, identifying and positioning the electronic equipment in the frame pictures, and judging whether new electronic equipment appears or not according to a comparison result of the environment template and the real-time pictures;
and when new electronic equipment appears, performing the following steps:
judging whether the safety type of the electronic equipment belongs to common electronic equipment, sensitive electronic equipment or illegal electronic equipment;
determining a threat level according to the security type of the electronic equipment and a threat level division standard;
fifthly, performing corresponding early warning processing according to the determined threat level;
and under the condition that no new electronic equipment is present, performing the steps from six to seven:
step six, extracting coordinates of the electronic equipment of the frame picture, and comparing whether the coordinates change with the picture of the previous frame;
step seven, if the coordinate is not changed, the processing of the frame picture is finished; and if the coordinates are changed, determining the threat level according to the movement condition of the electronic equipment and the threat level division standard, and finishing the processing of the frame picture after corresponding early warning measures.
While the above description shows and describes the preferred embodiments of the present invention, it is to be understood that the invention is not limited to the forms described herein, but is not to be construed as excluding other examples. It should be noted that the monitoring areas of the present invention include, but are not limited to, office environments, factory environments, teaching environments, conference environments, central offices, museums, exhibition halls, key stores, unattended scenes, and the like. It will also be apparent to those skilled in the art that various modifications may be made without departing from the principles of the invention, and such modifications are to be considered as protective measures for the invention.
Claims (4)
1. A sensitive area electronic equipment monitoring and positioning device is characterized by comprising an equipment security level division module, an equipment behavior acquisition module, a threat level division module and an early warning response module;
the equipment security level division module carries out level division on the sensitivity and security categories of different electronic equipment inside and outside the monitoring area according to the specific situation of the sensitive area;
the device behavior acquisition module performs deep learning preprocessing on the pictures of the electronic devices with different security levels, trains to form an electronic device model, and performs electronic device pattern acquisition on a monitoring area;
the threat level classification module performs threat level classification according to the security level of the electronic equipment and the track of the electronic equipment, and classifies the threat level into the following four levels: first-level threat: the original common electronic equipment moves in a monitoring area; secondary threat: a new common electronic device enters a monitoring area, or an original sensitive electronic device moves in the monitoring area; three-level threat: the original common electronic equipment is moved out of the monitoring area, or new sensitive electronic equipment enters the monitoring area; four-level threat: the original sensitive electronic equipment is taken out of the monitoring area, or illegal electronic equipment enters the monitoring area;
the early warning response module carries out early warning processing according to the threat level;
wherein:
the equipment behavior acquisition module identifies and positions the electronic equipment in the monitoring area, and judges whether new electronic equipment appears and whether illegal electronic equipment enters the monitoring area; extracting coordinates of the electronic equipment in a monitoring area through positioning the electronic equipment, comparing the coordinate changes in real time, and acquiring behaviors of the monitored electronic equipment according to the coordinate changes and the motion trail;
the function realization method of the equipment behavior acquisition module comprises the following steps:
s1, determining an electronic equipment model, and collecting an environment template:
s11, according to the security levels of different electronic devices divided by the device security level dividing module, performing labeling pretreatment on the divided electronic device categories and establishing an electronic device category sample library, taking the labeled electronic device categories as the input of a deep learning training process, and forming an electronic device model through deep learning and training;
s12, taking the image collection records in the monitoring area as a comparison template;
s2, identifying and positioning electronic equipment in the monitoring area:
s21, extracting the electronic equipment in the environment template collected in the step S1, and judging the type, the number and the position of the electronic equipment;
s22, operating a deep learning identification program, identifying the real-time picture of the image acquisition record, positioning the identified electronic equipment in a frame selection mode, and judging whether new electronic equipment enters a monitoring area;
s3, extracting the coordinates of the electronic equipment in the monitoring area, and comparing the coordinates with a template:
s31, respectively extracting coordinates of the related electronic equipment according to the identification and positioning of the electronic equipment in the environment template and the real-time picture in the step S2;
s32, comparing the coordinate position of the electronic equipment in the real-time picture with the coordinate of the electronic equipment in the environment template so as to judge the position change condition of the original electronic equipment of the environment template;
s33, calculating the coordinate change of the specific electronic equipment according to the positioning of the electronic equipment in the monitoring area, and determining the moving track of the electronic equipment;
and S34, if the original electronic equipment is monitored to move or new electronic equipment enters a monitoring area, recording the new electronic equipment, wherein the recorded content comprises the moving track, the displacement time and the electronic equipment behavior pictures of the electronic equipment with different safety categories in the monitoring area, and forming a recording log.
2. The sensitive area electronic device monitoring and positioning apparatus of claim 1, wherein for a determined threat level, intelligent semantic description output is performed in conjunction with log recording.
3. The sensitive region electronic device monitoring and positioning apparatus of claim 1, wherein the device behavior obtaining module performs electronic device image acquisition on a fixed monitoring region through a fixed wide-angle camera.
4. A monitoring and positioning method using the device for monitoring and positioning sensitive area electronic equipment according to claim 1, comprising the following steps:
the method comprises the following steps of firstly, collecting an environment template, wherein the environment template is collected once when the starting preparation work is carried out;
continuously acquiring frame pictures of the monitoring pictures, identifying and positioning the electronic equipment in the frame pictures, and judging whether new electronic equipment appears or not according to a comparison result of the environment template and the real-time pictures;
and when new electronic equipment appears, performing the following steps:
step three, judging the safety type of the electronic equipment;
determining a threat level according to the safety type of the electronic equipment, the running track of the electronic equipment and a threat level division standard;
fifthly, performing corresponding early warning processing according to the determined threat level;
and under the condition that no new electronic equipment is present, performing the steps from six to seven:
step six, extracting coordinates of the electronic equipment of the frame picture, and comparing whether the coordinates change with the picture of the previous frame;
step seven, if the coordinate is not changed, the processing of the frame picture is finished; and if the coordinates are changed, determining the threat level according to the movement condition of the electronic equipment and the threat level division standard, and finishing the processing of the frame picture after corresponding early warning measures.
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| CN202003508U (en) * | 2011-03-03 | 2011-10-05 | 苏州市慧视通讯科技有限公司 | Bus lane illegal vehicle intruding detection equipment |
| CN104360599B (en) * | 2014-11-10 | 2018-10-26 | 生迪光电科技股份有限公司 | Wired home control method, equipment and system based on LED light device |
| KR20170052389A (en) * | 2015-11-04 | 2017-05-12 | 삼성전자주식회사 | Alerting system and method for portable electronic device |
| CN108712611A (en) * | 2018-05-25 | 2018-10-26 | 上海与德科技有限公司 | Based reminding method, device, equipment and the storage medium of no photographing |
| CN208820928U (en) * | 2018-05-28 | 2019-05-03 | 贵州飓束科技有限公司 | A kind of intelligent linkage security system |
| CN109040654B (en) * | 2018-08-21 | 2021-03-30 | 苏州科达科技股份有限公司 | Method and device for identifying external shooting equipment and storage medium |
| CN109410496B (en) * | 2018-10-25 | 2022-04-01 | 北京交通大学 | Intrusion early warning method and device and electronic equipment |
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| JP2001148845A (en) * | 1999-11-19 | 2001-05-29 | Fujitsu General Ltd | Intruder supervisory system |
| CN106980810A (en) * | 2016-01-19 | 2017-07-25 | 华北电力大学（保定） | A kind of Overheight Vehicles proximity test method incremental based on sensitizing range image outline |
| CN106839882A (en) * | 2017-01-22 | 2017-06-13 | 张红彬 | Special area invades unmanned plane early warning interceptor control system |
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