CN116069596A - Situation awareness method, system, equipment and storage medium - Google Patents

Situation awareness method, system, equipment and storage medium Download PDF

Info

Publication number
CN116069596A
CN116069596A CN202111283258.3A CN202111283258A CN116069596A CN 116069596 A CN116069596 A CN 116069596A CN 202111283258 A CN202111283258 A CN 202111283258A CN 116069596 A CN116069596 A CN 116069596A
Authority
CN
China
Prior art keywords
situation awareness
matching
signals
information
emergency
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111283258.3A
Other languages
Chinese (zh)
Inventor
金成杰
张焕欣
吴治国
潘锋
董林
褚瑞
王健权
章小强
曹晓
周林华
姚红云
邹圆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai China Nuclear Power Engineering Technology Co ltd
Original Assignee
Shanghai China Nuclear Power Engineering Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai China Nuclear Power Engineering Technology Co ltd filed Critical Shanghai China Nuclear Power Engineering Technology Co ltd
Priority to CN202111283258.3A priority Critical patent/CN116069596A/en
Publication of CN116069596A publication Critical patent/CN116069596A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/32Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/324Display of status information
    • G06F11/327Alarm or error message display

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)

Abstract

The invention provides a situation awareness method, which comprises the following steps: acquiring situation awareness signals in a current scene; according to a preset rule, carrying out one-to-one matching on situation awareness signals and event information corresponding to a plurality of pre-stored emergency schemes, and calculating according to a matching result to obtain a matching value of the situation awareness signals and each emergency scheme; sequentially sequencing the plurality of matching values according to the sequence from the large value to the small value, and displaying emergency schemes corresponding to the preset number of matching values sequenced at the front. The invention reduces the dependence on the experience and reaction capability of the staff in the existing situation awareness method, and reduces the direct influence of subjective judgment of the staff on the result in situation awareness; real-time prediction of dynamic event development is realized; when multiple alarm events occur simultaneously, the alarm events can be ranked according to the importance degree, and some alarm events with low importance degree can be responded automatically.

Description

Situation awareness method, system, equipment and storage medium
Technical Field
The present invention relates to the field of computer security technologies, and in particular, to a situation awareness method, system, device, and storage medium.
Background
Nuclear related facilities refer to facilities related to application of nuclear energy or capable of containing radioactive substances, the nuclear energy is clean energy, the nuclear energy plays a great role in the field of power generation, and part of individuals or groups can perform theft, robbery or illegal transfer of nuclear materials and damage of the nuclear related facilities by performing behaviors such as reconnaissance, invasion and the like in order to meet special requirements or achieve special purposes.
In the existing nuclear facility protection system, when the detected alarm conditions are fewer, the staff can quickly confirm the conditions, however, as the number of the alarm conditions rises, the speed of manually checking the conditions is limited, the protection system cannot distinguish the execution sequence and the importance degree aiming at various alarm conditions, so that the processing efficiency of the staff is greatly influenced, the environmental safety of the nuclear facility is seriously threatened, the situation sensing system in the prior art almost completely depends on the experience and the judgment of the staff to select the corresponding emergency scheme, the accuracy cannot be ensured, and when various alarm conditions occur simultaneously, the staff cannot arrange the processing sequence according to the importance degree of the alarm conditions, and possibly cannot respond to serious safety accidents in time, thereby causing serious consequences that the nuclear facility is stolen and destroyed.
In summary, the prior art has the problems that the execution sequence and the importance degree of various alarm conditions cannot be distinguished, the manual processing efficiency is low, the accuracy is low, and the like.
Disclosure of Invention
In view of the above drawbacks of the prior art, the present invention aims to provide a situation awareness method, system, device and storage medium, so as to solve the technical problems of low efficiency, low accuracy and the like of manual processing in the prior art, wherein the execution sequence and importance degree of multiple alarm conditions cannot be distinguished.
To achieve the above and other related objects, the present invention provides a situation awareness method, including:
acquiring situation awareness signals in a current scene;
according to a preset rule, matching the situation awareness signals with event information corresponding to a plurality of pre-stored emergency schemes one by one, and calculating according to a matching result to obtain a matching value of the situation awareness signals corresponding to each emergency scheme;
sequentially sequencing the plurality of matching values according to the sequence from the large value to the small value, and displaying emergency schemes corresponding to the preset number of matching values sequenced at the front.
In a preferred embodiment, the situational awareness signal is obtained by a monitoring system, an access control system or an alarm.
In a preferred embodiment, the preset rule includes:
for each of the emergency scenarios:
matching the time information, the position information and the type information of the alarm signals included in the situation awareness signals with the time information, the position information and the type information of the alarm signals included in the current emergency scheme one by one to obtain a matching result; wherein, time information, position information, category information are allocated with the weight value of category corresponding to each other in advance;
calculating according to the category weight values and the matching results to obtain the matching values of the current emergency scheme and the situation awareness signals:
y=x 1 θ 1 +x 2 θ 2 +x 3 θ 3
wherein y represents the matching value; x is x 1 ,x 2 ,x 3 Respectively representing matching results corresponding to the time information, the position information and the type information; θ 1 ,θ 2 ,θ 3 Respectively representing category weight values corresponding to the time information, the position information and the category information; and when the matching is successful, the matching result is 1, otherwise, the matching result is 0.
In a preferred embodiment, the method further comprises:
when the number of received situation awareness signals exceeds a preset number threshold value in a preset time interval, calculating to obtain signal weight values corresponding to the situation awareness signals;
and preferentially displaying the emergency schemes corresponding to the preset number of situation awareness signals which are ranked in front according to the sequence of the signal weight values from large to small.
In a preferred embodiment, the method further comprises:
when a plurality of situation awareness signals are received at the same time, calculating to obtain signal weight values corresponding to the situation awareness signals;
and sequentially responding to each situation awareness signal according to the sequence of the plurality of signal weight values from large to small.
In a preferred embodiment, the method further comprises:
and directly executing the emergency scheme with highest matching value corresponding to the preset number of situation awareness signals after sequencing according to the sequence from big to small of the signal weight values corresponding to the situation awareness signals.
In a preferred embodiment, timing the time for displaying the emergency scheme, judging whether a scheme selection signal is received within a preset duration threshold, and if yes, executing the emergency scheme corresponding to the scheme selection signal;
if not, directly executing the emergency scheme with the highest matching value.
The invention also discloses a situation awareness system, which adopts the situation awareness method, and comprises the following steps:
the acquisition module is used for acquiring situation awareness signals in the current scene;
the matching module is used for matching the situation awareness signals with event information corresponding to a plurality of pre-stored emergency schemes one by one according to a preset rule, and calculating to obtain matching values corresponding to the situation awareness signals and each emergency scheme according to matching results;
and the display module is used for sequentially sequencing the plurality of matching values according to the sequence from the large value to the small value and displaying emergency schemes corresponding to the preset number of matching values which are sequenced at the front.
The invention also discloses a computer device, which comprises a processor, wherein the processor is coupled with a memory, the memory stores program instructions, and the situation awareness method is realized when the program instructions stored in the memory are executed by the processor.
The invention also discloses a computer readable storage medium comprising a program which, when run on a computer, causes the computer to perform the situation awareness method described above.
The situation awareness method, the system, the equipment and the storage medium provided by the invention reduce the dependence on the experience and the reaction capability of staff in the existing situation awareness method, and reduce the direct influence of subjective judgment of the staff on the result in situation awareness; real-time prediction of dynamic event development is realized; when multiple alarm events occur simultaneously, the alarm events can be ranked according to the importance degree, and some alarm events with low importance degree can be responded automatically.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a situation awareness method according to an embodiment of the invention.
Fig. 2 is a flow chart illustrating a situation awareness method according to an embodiment of the invention for ordering response sequences of a plurality of situation awareness signals.
Fig. 3 is a schematic diagram of a situation awareness system according to an embodiment of the invention.
Fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the invention.
Description of element reference numerals
100. A situation awareness system; 110. an acquisition module; 120. a matching module; 130. a display module; 200. a computer device; 210. a processor; 220. a memory.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict. It is also to be understood that the terminology used in the examples of the invention is for the purpose of describing particular embodiments only, and is not intended to limit the scope of the invention. The test methods in the following examples, in which specific conditions are not noted, are generally conducted under conventional conditions or under conditions recommended by the respective manufacturers.
Please refer to fig. 1 to 4. It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the invention to the extent that it can be practiced, since modifications, changes in the proportions, or adjustments of the sizes, which are otherwise, used in the practice of the invention, are included in the spirit and scope of the invention which is otherwise, without departing from the spirit or scope thereof. Also, the terms such as "upper," "lower," "left," "right," "middle," and "a" and the like recited in the present specification are merely for descriptive purposes and are not intended to limit the scope of the invention, but are intended to provide relative positional changes or modifications without materially altering the technical context in which the invention may be practiced.
Where numerical ranges are provided in the examples, it is understood that unless otherwise stated herein, both endpoints of each numerical range and any number between the two endpoints are significant both in the numerical range. 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 and to which this invention belongs, and any method, apparatus, or material of the prior art similar or equivalent to the methods, apparatus, or materials described in the examples of this invention may be used to practice the invention.
Referring to fig. 1, a flow chart of a situation awareness method in the present embodiment is shown, including:
step S100, obtaining situation awareness signals in the current scene.
In this embodiment, the situation awareness signal includes:
the first situation sensing signal sent by the monitoring system comprises monitored position information, monitored time information for sending out alarm signals and type information corresponding to the alarm signals sent out by monitoring;
or the second situation sensing signal sent by the access control system comprises the position information of the access control, the time information of the alarm signal sent by the access control and the type information corresponding to the alarm signal sent by the access control;
or, the third situation sensing signal sent by the alarm comprises the position information of the alarm, the time information of the alarm sending the alarm signal and the type information corresponding to the alarm signal sent by the alarm.
It should be noted that, situation sensing signals sent by other systems, such as a door and window anti-theft system, may be further included, and only the situation sensing system in this embodiment needs to preset position information corresponding to each system and type information of the alarm signal sent by each system.
The first situation sensing signal sent by the monitoring system can be further subdivided, and the first situation sensing signal can contain various alarm signals, wherein each alarm signal is preset with corresponding type information.
In a specific embodiment, the implementation procedure of step S100 is as follows:
collecting a monitoring video of monitoring in real time, and decomposing to obtain a plurality of image frames; the standard image frame of the current area is stored in advance, and the standard image frame comprises scene images of the area involved in monitoring, which are in a normal state, free of sundries and free of extra personnel.
Comparing the image frames with the standard image frames to judge whether additional figures or articles exist;
when a portrait and an additional item are simultaneously present in an image frame:
inputting the image frame into a first YOLO neural network model, and outputting a bounding box of a portrait in the image frame by the first YOLO neural network model; secondly, extracting a figure picture from the boundary box, carrying out gray processing on the figure picture, and processing to obtain a face characteristic value; and matching the face characteristic values with the face characteristic values in the face database, wherein the face characteristic values in the face database correspond to employee names one by one.
Inputting the image frame into a second YOLO neural network model, and outputting a boundary box of the object in the image frame by the second YOLO neural network model; secondly, extracting an article picture from the boundary frame, carrying out gray-scale treatment on the article picture, and processing to obtain an article characteristic value; and matching the characteristic values of the articles with the characteristic values of the articles in the article database, wherein the characteristic values of the articles in the article database correspond to the names of the articles one by one.
For example, an employee holds an object and enters a camera monitoring area, at the moment, an acquired image frame is simultaneously input into a first YOLO neural network model and a second YOLO neural network model, a boundary frame of the employee in the image frame and a boundary frame of the object in the image frame are framed, a face characteristic value of the employee and an object characteristic value of the object are obtained, the face characteristic value is matched with each face characteristic value in a face database, a corresponding employee name of Zhang Sanis obtained, and the face characteristic value is marked on the boundary frame of the employee; and matching the characteristic value of the article with the characteristic value of each article in the article database to obtain an article name 'computer' corresponding to the article, and marking the article name 'computer' on a boundary frame of the article.
If no matching item feature value is obtained, the bounding box is labeled directly as an "unknown item".
If the matched face feature value is not obtained, the boundary box is marked as an unknown person directly, and at the moment, the monitoring can send out a first type of alarm signal for indicating the occurrence of the unknown person in the monitoring area.
Traversing all the image frames, judging whether the current image frame only has a boundary frame of one portrait when the boundary frame of the additional article appears for the first time in the image frames, if so, adding the label of the boundary frame of the portrait on the label of the boundary frame of the article, and if not, namely, adding the label of the boundary frame of the portrait closest to the boundary frame of the article when the boundary frames of the plurality of portraits exist in the current image frame.
When the boundary frame of the article disappears in the image frame, judging whether the boundary frame of the human figure disappearing together is matched with the label of the boundary frame of the article, if not, the monitoring can send out a second type alarm signal for indicating that the article of a certain employee is taken away by other employees.
In this embodiment, the method further comprises the step of extracting and displaying the image frames of the preset frame number before the human figure and the boundary frame of the object disappear together to the staff.
The first type of alarm signal and the second type of alarm signal have corresponding type information, and by presetting various alarm signals, the situation sensing method in the embodiment can be suitable for various scenes, such as wrong placement of desktop articles and missing of articles in a laboratory, only the alarm signals corresponding to various alarm conditions which can occur in the current scene need to be preset in advance, and aiming at specific scenes, the types of alarm conditions which can occur are limited, so that the alarm signals which need to be preset are limited.
It should be noted that, the image frame with the portrait is input into the neural network model, the bounding box of the portrait in the image frame is output, and the image frame with the object is input into the neural network model, the bounding box of the object in the output image frame is the prior art, which is not described in detail in this embodiment, and the neural network model is not limited to the YOLO neural network model, and only the function of outputting the bounding box of the corresponding image is required.
It should be further noted that, the gray processing is performed on the picture, and the processing to obtain the characteristic value of the object is also in the prior art, which is not described in detail in this embodiment, and the manner of processing the picture in the bounding box is not limited in this embodiment, and only the information corresponding to the image needs to be obtained by matching the picture with the content in the database.
Step 200, according to a preset rule, matching situation awareness signals with event information corresponding to a plurality of pre-stored emergency schemes one by one, and calculating according to a matching result to obtain a matching value of the situation awareness signals corresponding to each emergency scheme.
Specifically, the event information includes time information, position information and type information of the alarm signal corresponding to the current emergency scheme, and the content contained in the event information corresponds to the situation awareness signal one by one.
The preset rules comprise:
for each emergency regimen:
matching the time information, the position information and the type information of the alarm signals included in the situation sensing signals with the time information, the position information and the type information of the alarm signals included in the current emergency scheme one by one to obtain a matching result; wherein, time information, position information, category information are allocated with the weight value of category corresponding to each other in advance;
calculating according to the weight values of various orders and the matching results to obtain the matching value of the current emergency scheme and the situation awareness signal:
y=x 1 θ 1 +x 2 θ 2 +x 3 θ 3
wherein y represents a matching value; x is x 1 ,x 2 ,x 3 Respectively representing matching results corresponding to the time information, the position information and the type information; θ 1 ,θ 2 ,θ 3 Respectively representing category weight values corresponding to the time information, the position information and the category information; and when the matching is successful, the matching result is 1, otherwise, the matching result is 0.
In this embodiment, only three information contents, namely, time information, position information and category information, are matched, and at this time, the situation awareness signal may be successfully matched with the time information and the position information of one emergency scheme, and the situation of successfully matched with the position information and the category information of another emergency scheme may occur, and then category weight values are added to the three information contents at this time so as to further distinguish the matching values.
In this embodiment, a plurality of emergency schemes, for example, a scheme of informing guard personnel to go to a site to view, directly alarming and informing guard personnel to warn, informing all personnel to evacuate, and the like, are stored in advance, each emergency scheme has corresponding event information, and it is to be noted that time information contained in the event information corresponding to the emergency scheme is a time period, the position information is a specific area, and in actual setting, the position information corresponding to one emergency scheme may contain a plurality of monitored equipment numbers in a preset area, a plurality of equipment numbers of access control in a preset area, or a plurality of equipment numbers of alarm devices in a preset area, so as to reduce the types of event information required to be preset.
For example, three emergency schemes A1/A2/A3 are preset, the specific content of the emergency scheme A1 is an alarm, and the event information comprises: the position information is the monitored equipment number B1\B2\B3 in the laboratory, the time information is 8:00-18:00, and the type information C1 corresponding to the alarm signal sent by the monitoring is monitored. The specific content of the emergency scheme A2 is that a guard is informed to go to the site, and the event information comprises: the position information is the monitored equipment number B4\B5\B6 on the corridor, the time information is 8:00-18:00, and the type information C1 corresponding to the alarm signal sent by the monitoring is monitored. The specific content of the emergency scheme A3 is an alarm, and the event information comprises: the position information is the equipment number B1\B2\B3 of the monitoring in the experiment, the time information is 23:00-1:00, and the type information C1 corresponding to the alarm signal sent by the monitoring is obtained.
If a situation awareness signal is received at this time, the corresponding content is an alarm signal with the type information C1 sent by the monitoring B1 in the laboratory at the time of 12:00, the situation awareness signal is matched with event information corresponding to three emergency schemes A1/A2/A3 one by one, and at this time theta 1 ,θ 2 ,θ 3 10, 50 and 30 respectively, the matching values corresponding to the situation awareness signals and the three emergency schemes A1/A2/A3 are 90, 40 and 80 respectively, so that the situation awareness signals and the event information of the emergency scheme A1 have the highest matching value and the event information of the emergency method A2 have the lowest matching value.
And step S300, sequentially sequencing the plurality of matching values according to the sequence from the large value to the small value, and displaying emergency schemes corresponding to the preset number of matching values sequenced at the front.
The displayed emergency scheme is marked with a corresponding matching value; for each emergency scheme, the matching value of the event information and the situation awareness signal is the possibility of the event corresponding to the emergency scheme, namely the recommendation degree of the emergency scheme is adopted.
In the specific embodiment, if the preset number is three, the emergency schemes are displayed according to the sequence of A1, A3 and A2.
Referring to fig. 2, in this embodiment, the method further includes:
and step SS100, calculating to obtain signal weight values corresponding to the situation awareness signals when the number of the situation awareness signals received in the preset time interval exceeds a preset number threshold.
Specifically, the position information and the category information included in each situation awareness signal are pre-allocated with respective corresponding content weight values.
Step SS100 specifically includes:
for each situation awareness signal, calculating to obtain a signal weight value according to the content weight value corresponding to the contained position information and the category information:
Figure BDA0003332030000000091
wherein ω represents a signal weight value; omega 1 Content weight values corresponding to the position information are represented; omega 2 Content weight value corresponding to the type information is represented;
Figure BDA0003332030000000092
representing the ratio of category weight values of the position information in the sum of category weight values of the position information and the category information; />
Figure BDA0003332030000000093
The category weight value representing the category information represents the ratio of the category weight value of the category information to the sum of the category weight values of the location information and the category information.
In the actual use process, the situation that a plurality of alarm signals, namely a plurality of situation awareness signals, are received in a short time is likely to occur in a scene, at the moment, importance degree ordering is needed, the light and heavy urgency is separated, at the moment, the difference of time information corresponding to each situation awareness signal is small and can be almost ignored, so that the setting of the content weight value for the time information is meaningless, and only the corresponding content weight value needs to be allocated in advance to the category information of the position information and the alarm signal.
For example, in the position information: for the same area, the content weight values corresponding to the equipment numbers of the alarms are all larger than the content weight values of the monitored equipment numbers; for the same system, for example, the content weight value corresponding to the monitored equipment number B1\B2\B3 in the laboratory in the monitoring system is greater than the content weight value corresponding to the monitored equipment number B4\B5\B6 on the corridor.
In the category information, for several systems, the content weight value corresponding to the category information of the alarm signal sent by the alarm is larger than the content weight value corresponding to the category information of the alarm signal sent by the monitoring, and for the category information of various alarm signals in the monitoring system, the category information of the alarm signal can be further subdivided, and different content weight values can be allocated for the category information.
And step SS200, sequentially responding to each situation awareness signal according to the sequence from the large signal weight value to the small signal weight value.
For example, when a first situation awareness signal containing "the alarm signal with the category information of C2 sent by the monitor B1" and a second situation awareness signal containing "the alarm signal with the category information of C1 sent by the monitor B4" are received simultaneously, ω in the first situation awareness signal 1 40; omega 2 10; omega in second situational awareness Signal 1 10; omega 2 50, θ 2 ,θ 3 50 and 30 respectively; and calculating by adopting the formula to obtain signal weight values corresponding to the two situation awareness signals as 28.75 and 25 respectively, wherein the signal weight value of the first situation awareness signal is larger than that of the second situation awareness signal, and then, the response of the first situation awareness signal is preferentially carried out.
In this embodiment, the method further includes:
and directly executing the emergency scheme with highest matching value corresponding to the preset number of situation awareness signals after sequencing according to the sequence from big to small of the signal weight values corresponding to the situation awareness signals.
Specifically, in this embodiment, a preset frequency for determining the number of situation awareness signals is further provided, and the number of situation awareness signals received in a preset time interval in the past is determined according to the preset frequency.
For example, the preset time interval is 1min, the preset number threshold is 10, the preset frequency is 10 s/time, if 15 situation awareness signals are received within the time of the past 1min obtained through judgment at the time t, the emergency scheme with the highest matching value corresponding to the preset number of situation awareness signals after the ranking is directly executed according to the ranking from big to small of the signal weight values of the 15 situation awareness signals, the number of situation awareness signals received within the time of the past 1min is judged again at the time t+10s, and if the number of situation awareness signals is 9 at the moment, the processing mode of directly executing the emergency scheme is stopped.
In practical situations, when a large number of situation awareness signals are received in a short time, workers cannot deal with the situation, and at the moment, according to an emergency scheme with the largest matching value matched with each situation awareness signal, the situation awareness system directly deals with the alarm event with the smallest signal weight value, namely the least important alarm event, so that the working intensity of the workers is reduced, and the automation degree of the situation awareness system in the embodiment is enhanced.
In another preferred embodiment, the method further comprises:
timing the time for displaying the emergency scheme, judging whether a scheme selection signal is received within a preset duration threshold, and if yes, executing the emergency scheme corresponding to the scheme selection signal;
if not, directly executing the emergency scheme with the highest matching value.
In the actual situation sensing process, a situation that a worker leaves a working post temporarily may occur, so that the displayed emergency scheme cannot be selected timely is set, a preset time threshold is set at this time, and when a scheme selection signal of the worker is not received within the preset time threshold, the emergency scheme with the highest matching value is directly executed.
Referring to fig. 3, the present embodiment further discloses a situation awareness system 100, and the situation awareness system 100 includes:
the extraction module 110 is configured to obtain a situation awareness signal in a current scene;
the matching module 120 is configured to match the situation awareness signals with event information corresponding to a plurality of pre-stored emergency schemes one by one according to a preset rule, and calculate a matching value corresponding to each emergency scheme according to a matching result;
and the display module 130 is used for sequentially sequencing the plurality of matching values according to the sequence from the large value to the small value, and displaying the emergency schemes corresponding to the preset number of matching values sequenced at the front.
Referring to fig. 4, a computer device 200 is also disclosed in this embodiment, which includes a processor 210, where the processor 210 is coupled to a memory 220, and the memory 220 stores program instructions, and when the program instructions stored in the memory 220 are executed by the processor 210, the situation awareness method is implemented. The processor 210 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, abbreviated as DSP), application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), field-programmable gate arrays (Field-Programmable Gate Array, abbreviated as FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components; the Memory 220 may include a random access Memory (Random Access Memory, abbreviated as RAM) and may further include a Non-Volatile Memory (Non-Volatile Memory), such as at least one magnetic disk Memory. The memory 220 may also be an internal memory of the random access memory (Random Access Memory, RAM) type, and the processor 210, the memory 220 may be integrated into one or more separate circuits or hardware, such as: an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). It should be noted that the computer program in the memory 220 may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a separate product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present invention.
The present embodiment also proposes a computer-readable storage medium storing computer instructions for causing a computer to execute the above situation awareness method. The storage medium may be an electronic medium, a magnetic medium, an optical medium, an electromagnetic medium, an infrared medium, or a semiconductor system or propagation medium. The storage medium may also include semiconductor or solid state memory, magnetic tape, removable computer diskette, random Access Memory (RAM), read-only memory (ROM), rigid magnetic disk and optical disk. Optical discs may include compact disc-read only memory (CD-ROM), compact disc-read/write (CD-RW), and DVD.
The situation awareness method, the system, the equipment and the storage medium provided by the invention reduce the dependence on the experience and the reaction capability of staff in the existing situation awareness method, and reduce the direct influence of subjective judgment of the staff on the result in situation awareness; real-time prediction of dynamic event development is realized; when multiple alarm events occur simultaneously, the alarm events can be ranked according to the importance degree, and some alarm events with low importance degree can be responded automatically. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.

Claims (10)

1. A situation awareness method, comprising:
acquiring situation awareness signals in a current scene;
according to a preset rule, matching the situation awareness signals with event information corresponding to a plurality of pre-stored emergency schemes one by one, and calculating according to a matching result to obtain a matching value of the situation awareness signals corresponding to each emergency scheme;
sequentially sequencing the plurality of matching values according to the sequence from the large value to the small value, and displaying emergency schemes corresponding to the preset number of matching values sequenced at the front.
2. The situational awareness method of claim 1 in which the situational awareness signal is obtained by a monitoring system, an access control system or an alarm.
3. The situation awareness method of claim 1, wherein the preset rules comprise:
for each of the emergency scenarios:
matching the time information, the position information and the type information of the alarm signals included in the situation awareness signals with the time information, the position information and the type information of the alarm signals included in the current emergency scheme one by one to obtain a matching result; wherein, time information, position information, category information are allocated with the weight value of category corresponding to each other in advance;
calculating according to the category weight values and the matching results to obtain the matching values of the current emergency scheme and the situation awareness signals:
y=x 1 θ 1 +x 2 θ 2 +x 3 θ 3
wherein y represents the matching value; x is x 1 ,x 2 ,x 3 Respectively representing matching results corresponding to the time information, the position information and the type information; θ 1 ,θ 2 ,θ 3 Respectively representing category weight values corresponding to the time information, the position information and the category information; and when the matching is successful, the matching result is 1, otherwise, the matching result is 0.
4. A situation awareness method according to claim 3, further comprising:
when the number of received situation awareness signals exceeds a preset number threshold value in a preset time interval, calculating to obtain signal weight values corresponding to the situation awareness signals;
and preferentially displaying the emergency schemes corresponding to the preset number of situation awareness signals which are ranked in front according to the sequence of the signal weight values from large to small.
5. The situation awareness method according to claim 4, wherein the location information and the category information included in each situation awareness signal are pre-allocated with respective corresponding content weight values;
when the number of received situation awareness signals exceeds a preset number threshold value in a preset time interval, the step of calculating to obtain the signal weight value corresponding to each situation awareness signal comprises the following steps:
for each situation awareness signal, calculating to obtain the signal weight value according to the content weight value corresponding to the contained position information and the category information:
Figure FDA0003332029990000021
wherein ω represents the signal weight value; omega 1 Content weight values corresponding to the position information are represented; omega 2 And content weight values corresponding to the category information are represented.
6. The situational awareness method of claim 4, further comprising:
and directly executing the emergency scheme with highest matching value corresponding to the preset number of situation awareness signals after sequencing according to the sequence from big to small of the signal weight values corresponding to the situation awareness signals.
7. The situation awareness method according to claim 1 or 4, further comprising:
timing the time displayed by the emergency scheme, judging whether a scheme selection signal is received within a preset duration threshold, and if yes, executing the emergency scheme corresponding to the scheme selection signal;
if not, directly executing the emergency scheme with the highest matching value.
8. A situation awareness system, characterized in that a situation awareness method according to any of claims 1-7 is used, the situation awareness system comprising:
the acquisition module is used for acquiring situation awareness signals in the current scene;
the matching module is used for matching the situation awareness signals with event information corresponding to a plurality of pre-stored emergency schemes one by one according to a preset rule, and calculating to obtain matching values corresponding to the situation awareness signals and each emergency scheme according to matching results;
and the display module is used for sequentially sequencing the plurality of matching values according to the sequence from the large value to the small value and displaying emergency schemes corresponding to the preset number of matching values which are sequenced at the front.
9. A computer device comprising a processor coupled to a memory, the memory storing program instructions that when executed by the processor implement the situational awareness method of any of claims 1-7.
10. A computer readable storage medium comprising a program which, when run on a computer, causes the computer to perform the situation awareness method according to any of claims 1-7.
CN202111283258.3A 2021-11-01 2021-11-01 Situation awareness method, system, equipment and storage medium Pending CN116069596A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111283258.3A CN116069596A (en) 2021-11-01 2021-11-01 Situation awareness method, system, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111283258.3A CN116069596A (en) 2021-11-01 2021-11-01 Situation awareness method, system, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN116069596A true CN116069596A (en) 2023-05-05

Family

ID=86175561

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111283258.3A Pending CN116069596A (en) 2021-11-01 2021-11-01 Situation awareness method, system, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN116069596A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116680925A (en) * 2023-06-15 2023-09-01 深圳市智慧空间平台技术开发有限公司 Intelligent space emergency processing method, system and medium based on big data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116680925A (en) * 2023-06-15 2023-09-01 深圳市智慧空间平台技术开发有限公司 Intelligent space emergency processing method, system and medium based on big data
CN116680925B (en) * 2023-06-15 2024-02-06 深圳市智慧空间平台技术开发有限公司 Intelligent space emergency processing method, system and medium based on big data

Similar Documents

Publication Publication Date Title
CN110889339B (en) Head and shoulder detection-based dangerous area grading early warning method and system
Zin et al. A Markov random walk model for loitering people detection
CN112927461B (en) Early warning decision method and device for charging pile of new energy automobile
CN110223474A (en) A kind of intelligent monitoring and alarming method, system and storage medium
CN112349015B (en) Shelter management and control system and method based on Internet of things
CN112819068A (en) Deep learning-based real-time detection method for ship operation violation behaviors
CN111652185A (en) Safety construction method, system, device and storage medium based on violation behavior recognition
CN116069596A (en) Situation awareness method, system, equipment and storage medium
CN116246416A (en) Intelligent analysis early warning platform and method for security protection
CN112464030A (en) Suspicious person determination method and device
CN114078603A (en) Intelligent endowment monitoring system and method, computer equipment and readable storage medium
CN111539595A (en) Method, apparatus, computer device and storage medium for handling alarms
CN110738077B (en) Foreign matter detection method and device
EP3885972A1 (en) Context based perception method and system for managing environmental safety in a computing environment
CN115376268B (en) Monitoring alarm fire-fighting linkage system based on image recognition
CN116701866A (en) Park event linkage processing method based on Internet of things equipment
Manu et al. Anomaly Alert System using CCTV surveillance
CN115641668A (en) Method and device for intelligently and safely monitoring two doors and storage medium
EP1405279A1 (en) Vision based method and apparatus for detecting an event requiring assistance or documentation
CN112750274A (en) Facial feature recognition-based aggregation early warning system, method and equipment
Park et al. Development of intelligent safety monitoring model for industrial construction site application
Lestari et al. Fire detection system on surveillance videos using faster region-based convolutional neural network for high buildings evacuation
CN117253176B (en) Safe production Al intelligent detection method based on video analysis and computer vision
Naf’an et al. Crowd Detection that Potentially Violate COVID-19 Health Protocol Using Convolutional Neural Network (CNN)
CN115376275B (en) Construction safety warning method and system based on image processing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: Room A501, Building 3, No. 1588, Zixing Road, Minhang District, Shanghai, 200000

Applicant after: China Guanghe Digital Technology Co.,Ltd.

Address before: Room A501, Building No. 1588 Zixing Road, Minhang District, Shanghai 201100

Applicant before: SHANGHAI CHINA NUCLEAR POWER ENGINEERING TECHNOLOGY CO.,LTD.

CB02 Change of applicant information