CN113420722B - Emergency linkage method and system for airport security management platform - Google Patents
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Abstract
The invention discloses an emergency linkage method and system for an airport security management platform, wherein the method comprises the following steps: acquiring first video information through the airport monitoring device; acquiring occurrence position information of a first event according to the first video information; performing convolution kernel feature acquisition on the first video information to obtain feature information of the first event; performing weight analysis on the feature information of the first event to obtain weight information of the feature information; obtaining a first linkage range; and inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme. The technical problems that in the prior art, emergency management plans are lagged, linkage processing efficiency is low, and safety management capability level of an airport is low are solved.
Description
Technical Field
The invention relates to the field of safety management, in particular to an emergency linkage method and system for an airport safety management platform.
Background
As a guarantee main body in the whole civil aviation field, an airport needs to provide convenient and fast transportation service on the premise of ensuring absolute safety, and the management pressure is huge. Due to the particularity of the industry, the initiation factors of the emergency happening in the airport are more complicated, and the emergency capacity of the emergency happening in the airport is improved in the face of the safety situation at home and abroad, so that the method is the key for guaranteeing the healthy and rapid development of the airport.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem of low airport safety management capability level caused by lagging airport emergency management plans and low linkage processing efficiency in the prior art is solved.
Disclosure of Invention
The embodiment of the application provides an emergency linkage method and system for an airport safety management platform, solves the technical problems that in the prior art, the emergency management plan of an emergency is lagged, the linkage processing efficiency is low, and the airport safety management capability level is low, achieves the purpose of carrying out real-time linkage of paths and equipment through the particularity of an event, improves the processing efficiency of the airport emergency, can also carry out fusion of a plurality of video pictures to form three-dimensional monitoring, can carry out real-time detail capture on the emergency, completes the processing of the emergency, and accordingly improves the technical effect of the airport safety management capability level.
In view of the above, the present invention has been made to provide a solution that overcomes or at least partially solves the above problems.
In a first aspect, an embodiment of the present application provides an emergency linkage method for an airport security management platform, where the method includes: acquiring first video information through the airport monitoring device; acquiring occurrence position information of a first event according to the first video information; performing convolution kernel feature acquisition on the first video information to obtain feature information of the first event; performing weight analysis on the feature information of the first event to obtain weight information of the feature information; obtaining a first linkage range; and inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme.
On the other hand, the application also provides an emergency linkage system of the airport security management platform, and the system comprises: the first obtaining unit is used for obtaining first video information through an airport monitoring device; a second obtaining unit, configured to obtain occurrence position information of a first event according to the first video information; a third obtaining unit, configured to perform convolution kernel feature acquisition on the first video information to obtain feature information of the first event; a fourth obtaining unit, configured to perform weight analysis on the feature information of the first event to obtain weight information of the feature information; a fifth obtaining unit configured to obtain a first linkage range; and the sixth obtaining unit is used for inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme.
In a third aspect, an embodiment of the present invention provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the method for controlling output data includes any one of the steps described above.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the method for controlling output data according to any one of the above.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
acquiring first video information by the airport monitoring device; acquiring occurrence position information of a first event according to the first video information; performing convolution kernel feature acquisition on the first video information to obtain feature information of the first event; performing weight analysis on the feature information of the first event to obtain weight information of the feature information; obtaining a first linkage range; and inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme. The method further achieves the technical effects that real-time linkage of paths and equipment is carried out through the particularity of the events, the processing efficiency of the airport emergency is improved, fusion of a plurality of video pictures can be carried out, three-dimensional monitoring is formed, real-time detail capture can be carried out on the emergency, the processing of the emergency is completed, and therefore the safety management capability level of the airport is enhanced.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart illustrating an emergency linkage method of an airport security management platform according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart illustrating a process of obtaining feature information of a first event in an emergency linkage method of an airport security management platform according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating a process of obtaining weight information of feature information in an emergency linkage method of an airport security management platform according to an embodiment of the present application;
fig. 4 is a schematic flowchart illustrating a process of obtaining weight information of category information in an emergency linkage method of an airport security management platform according to an embodiment of the present application;
fig. 5 is a schematic flowchart illustrating a first linkage range obtained in an emergency linkage method of an airport security management platform according to an embodiment of the present application;
fig. 6 is a schematic flowchart illustrating a first linkage planning scheme obtained in an emergency linkage method of an airport security management platform according to an embodiment of the present application;
fig. 7 is a schematic flowchart illustrating a process of obtaining first video information in an emergency linkage method of an airport security management platform according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an emergency linkage system of an airport security management platform according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device for executing a method of controlling output data according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150 and a user interface 1160.
Detailed Description
In the description of the embodiments of the present invention, it should be apparent to those skilled in the art that the embodiments of the present invention can be embodied as methods, apparatuses, electronic devices, and computer-readable storage media. Thus, embodiments of the invention may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, embodiments of the invention may also be embodied in the form of a computer program product in one or more computer-readable storage media having computer program code embodied in the medium.
The computer-readable storage media described above may take any combination of one or more computer-readable storage media. The computer-readable storage medium includes: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include: a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, a flash memory, an optical fiber, a compact disc read-only memory, an optical storage device, a magnetic storage device, or any combination of the foregoing. In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device, or apparatus.
Summary of the application
The method, the device and the electronic equipment are described through the flow chart and/or the block diagram.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner. Thus, the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The embodiments of the present invention will be described below with reference to the drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an emergency linkage method for an airport security management platform, where the method includes:
step S100: acquiring first video information through the airport monitoring device;
as shown in fig. 7, further, in which the first video information is obtained by the airport monitoring apparatus, step S100 in this embodiment of the present application further includes:
step S110: acquiring first reference video information through a first airport monitoring device;
step S120: analyzing the first reference video information to obtain first reference position information;
step S130: obtaining a predetermined range;
step S140: obtaining a second airport monitoring device and a third airport monitoring device according to the preset range, wherein the second airport monitoring device and the third airport monitoring device are within the preset range;
step S150: obtaining second reference video information according to the second airport monitoring device;
step S160: obtaining third reference video information according to the third airport monitoring device;
step S170: and performing feature fusion on the first reference video information, the second reference video information and the third reference video information to obtain first video information.
Specifically, the airport monitoring device analyzes the reference video information of the emergency to obtain the reference position information of the occurrence of the event. The preset range is a radius range which takes an event as a circle center through a real-time emergency place, and a second airport monitoring device and a third airport monitoring device are obtained according to the preset range, wherein the second airport monitoring device and the third airport monitoring device are in the preset range, namely real-time linkage of monitoring equipment is carried out according to the occurrence range of the event. And acquiring second reference video information through the second airport monitoring device, acquiring third reference video information through the third airport monitoring device, and performing feature fusion on the first reference video information, the second reference video information and the third reference video information to acquire the first video information. Namely, a plurality of video pictures are fused to form three-dimensional monitoring, so that the technical effects of capturing the details of the emergency in real time and further processing the emergency are achieved.
Step S200: acquiring occurrence position information of a first event according to the first video information;
specifically, the occurrence position of the incident is accurately determined through the first video information, namely the stereoscopic monitoring video information of the emergency, and the rapid determination of the occurrence position of the incident lays a foundation for the linkage processing of the subsequent emergency.
Step S300: performing convolution kernel feature acquisition on the first video information to obtain feature information of the first event;
as shown in fig. 2, further, in which the performing convolution kernel feature acquisition on the first video information to obtain the feature information of the first event further includes:
step S310: performing mesh division on each frame of the first video information according to a preset size;
step S320: obtaining a first predetermined convolution kernel;
step S330: performing traversal convolution calculation on each frame of the first video information after the grid division according to the first preset convolution core to obtain a first convolution calculation result;
step S340: obtaining a convolution calculation result which accords with a preset convolution value range according to the first convolution calculation result;
step S350: and taking the convolution calculation result which accords with a preset convolution numerical range as the characteristic information of the first event.
Specifically, each frame of the first video information is subjected to grid division according to a preset size to obtain a preset convolution kernel, when the convolution kernel is used for image processing, an input image is given, pixels in a small area in the input image become each corresponding pixel in an output image after weighted averaging, wherein a weight is defined by a function, and the function is called as the convolution kernel. The convolutional neural network is a deep feedforward neural network with the characteristics of local connection, weight sharing and the like, has a remarkable effect in the field of image and video analysis, such as various visual tasks of image classification, target detection, image segmentation and the like, and is one of the most widely applied models at present. A convolutional neural network, literally comprising two parts: convolution + neural network. The convolution is a feature extractor, and the neural network can be regarded as a classifier. A convolutional neural network is trained, namely a feature extractor (convolution) and a subsequent classifier (neural network) are trained simultaneously. And performing traversal convolution calculation on each frame of the first video information after the grid division according to the first preset convolution kernel to obtain a corresponding convolution calculation result. And obtaining a convolution calculation result which accords with a preset convolution value range according to the first convolution calculation result, namely the convolution calculation result range which accords with the preset event characteristics in the convolution calculation result. And the convolution calculation result conforming to the preset convolution numerical range is used as the characteristic information of the first event, so that the technical effect of performing calculation analysis on the characteristics of the emergency event in a convolution neural network mode so as to be more accurate in the subsequent weight analysis result of the event is achieved.
Step S400: performing weight analysis on the feature information of the first event to obtain weight information of the feature information;
as shown in fig. 3, further to the step S400 in the embodiment of the present application, in which weight analysis is performed on the feature information of the first event to obtain weight information of the feature information, the method further includes:
step S410: respectively obtaining the category information of each feature information;
step S420: obtaining the weight information of the category information according to the category information by an analytic hierarchy process;
step S430: and taking the weight information of the category information as the weight information of the characteristic information.
Specifically, each feature of the emergency event belongs to a different category, and the features of the different categories have different weights, i.e., importance degrees of the emergency event categories. And respectively obtaining the category information of each piece of feature information, and analyzing the category information according to an analytic hierarchy process to obtain the weight information of the category information. The analytic hierarchy process includes decomposing the decision problem into different hierarchical structures according to the sequence of the total target, sub targets of each layer, evaluation criteria and specific spare power switching scheme, solving and judging matrix characteristic vector to obtain the priority weight of each element of each layer to one element of the previous layer, and finally conducting hierarchical weighted sum to merge the final weight of each spare power switching scheme to the total target, wherein the maximum weight is the optimal scheme. And taking the weight information of the category information as the weight information of the feature information, namely, the weight with the maximum weight is also the optimal feature scheme of the event feature. The method achieves the technical effects that the characteristics of the emergency are analyzed and determined by an analytic hierarchy process, the target problem is quickly and practically quantified and processed, and the result is concise and clear and is easy to evaluate and process.
Step S500: obtaining a first linkage range;
as shown in fig. 5, further, wherein, to obtain the first linkage range, step S500 in this embodiment of the present application further includes:
step S510: obtaining the severity level of the first event according to the characteristic information of the first event;
step S520: obtaining a preset linkage mechanism;
step S530: and determining the first linkage range according to the severity level of the first event and the preset linkage mechanism.
Specifically, the severity level of the first event is the severity level of the emergency event, and the severity level is determined according to the characteristics of the event, for example, the severity level is medium when an airport carries prohibited articles, and the severity level is high when a terrorist attack event occurs at the airport. The preset linkage mechanism is an emergency guarantee work linkage mechanism for the airport to deal with the emergency, namely, the preset linkage mechanism is used for performing work division cooperation, graded responsibility, resource integration and coordinated linkage on the event, so that the safety and stable operation of the airport are ensured. And determining the first linkage range according to the severity level of the first event and the preset linkage mechanism. Different severity levels of the incident have different linkage ranges, such as when the severity level of the incident is high, the linkage range is also large, and linkage between the airport and the local government may be required. The technical effects of determining the linkage range of the airport according to the severity level of the event, interconnecting and intercommunicating emergency resources and enhancing the linkage emergency capacity of the airport are achieved, so that the safe operation of the airport is guaranteed.
Step S600: and inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme.
As shown in fig. 6, further, the inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme, where step S600 in this embodiment of the present application further includes:
step S610: training according to historical data, and constructing an event linkage planning model;
step S620: and inputting the weight information and the first linkage range into the event linkage planning model to obtain first output information, wherein the first output information comprises the first linkage planning scheme.
Specifically, the event linkage planning model is a Neural network model, i.e., a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network device formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamics learning device. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (ANN), is a description of the first-order properties of human brain devices. Briefly, it is a mathematical model. And inputting the weight information and the first linkage range into a neural network model through training of a large amount of training data, and outputting the first linkage planning scheme.
More specifically, the training process is a supervised learning process, each group of supervised data includes the weight information, the first linkage range and identification information for identifying a first linkage planning scheme, the weight information and the first linkage range are input into a neural network model, the neural network model performs continuous self-correction and adjustment according to the identification information for identifying the first linkage planning scheme until an obtained first output result is consistent with the identification information, the group of supervised learning is ended, and the next group of data supervised learning is performed; and when the output information of the neural network model reaches the preset accuracy rate/reaches the convergence state, finishing the supervised learning process. Through supervised learning of the neural network model, the neural network model can process the input information more accurately, the output first linkage planning scheme information is more reasonable and accurate, and the linkage processing scheme is determined by combining the event occurrence characteristics, and linkage planning processing is performed on emergency events in a targeted manner, so that the technical effect of guaranteeing safe operation of an airport is achieved.
As shown in fig. 4, further to the, wherein the obtaining weight information of the category information according to the analytic hierarchy process for the category information includes:
step S421: obtaining a first hierarchical model;
step S422: setting a questionnaire according to the analytic hierarchy process;
step S423: and inputting the category information into the first-level model according to the questionnaire to perform group decision, and obtaining the weight information of the category information.
Specifically, the first hierarchical model is a model which represents the relation between entities by using a tree structure, and the hierarchical model has one node without a parent node, and the node is called a root node; the nodes other than the root have one parent node, and have the characteristic that any given record value can only be viewed according to the hierarchical path, and no child record value can be independent of the parent record value. A questionnaire is set by the analytic hierarchy process, i.e. the problem is decomposed into different composition factors according to the nature of the problem and the overall goal to be achieved. Inputting the category information into the first-level model according to the questionnaire to perform group decision, and obtaining the weight information of the category information, namely aggregating and combining the factors according to different levels according to the correlation influence and membership among the factors to form a multi-level analysis structure model, so that the problem is finally solved as the determination of the relative important weight of the lowest level (scheme, measure and the like for decision) relative to the highest level (total target) or the scheduling of the relative order of superiority and inferiority. The technical effects of carrying out weight determination on the category information in a quantitative and concise manner and further clearly and definitely processing the target problem are achieved.
Further, the embodiment of the present application further includes:
step S710: generating a first characteristic data set according to the characteristic information of the first event;
step S720: performing centralized processing on the first characteristic data set to obtain a second characteristic data set;
step S730: obtaining a first covariance matrix of the second feature data set;
step S740: calculating the first covariance matrix to obtain a first eigenvalue and a first eigenvector of the first covariance matrix;
step S750: and projecting the first feature data set to the first feature vector to obtain a first dimension reduction data set, wherein the first dimension reduction data set is the feature data set after dimension reduction of the first feature data set.
Specifically, the feature data extracted from the airport emergency is processed in a numerical mode, a feature data set matrix is constructed, and the first feature data set is obtained. Then, centralization processing is carried out on each feature data in the first feature data set, namely mean value removing is carried out, firstly, the mean value of each feature in the first feature data set is solved, then, the mean value of each feature is subtracted from all samples, then, a new feature value is obtained, the second feature data set is formed by the new feature value, and the second feature data set is a data matrix. By the covariance formula:
and operating the second characteristic data set to obtain a first covariance matrix of the second characteristic data set. Wherein,
is a stand forFeature data in the second feature data set;
is the average value of the characteristic data; and M is the total amount of sample data in the second characteristic data set. Then, through matrix operation, the eigenvalue and the eigenvector of the first covariance matrix are solved, and each eigenvalue corresponds to one eigenvector. And selecting the largest first K characteristic values and the corresponding characteristic vectors from the obtained first characteristic vectors, and projecting the original characteristics in the first characteristic data set onto the selected characteristic vectors to obtain the first characteristic data set after dimension reduction. The feature data in the database are subjected to dimensionality reduction processing through a principal component analysis method, and redundant data are removed on the premise of ensuring the information quantity, so that the sample quantity of the feature data in the database is reduced, the loss of the information quantity after dimensionality reduction is minimum, and the operation speed of a training model on the data is accelerated.
To sum up, the method and the system for linkage of the emergency events of the airport security management platform provided by the embodiment of the application have the following technical effects:
acquiring first video information by the airport monitoring device; acquiring occurrence position information of a first event according to the first video information; performing convolution kernel feature acquisition on the first video information to obtain feature information of the first event; performing weight analysis on the feature information of the first event to obtain weight information of the feature information; obtaining a first linkage range; and inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme. The method further achieves the technical effects that real-time linkage of paths and equipment is carried out through the particularity of the events, the processing efficiency of the airport emergency is improved, fusion of a plurality of video pictures can be carried out, three-dimensional monitoring is formed, real-time detail capture can be carried out on the emergency, the processing of the emergency is completed, and the level of safety management capability of the airport is enhanced.
Example two
Based on the same inventive concept as the emergency linkage method of the airport security management platform in the foregoing embodiment, the present invention further provides an emergency linkage system of the airport security management platform, as shown in fig. 8, the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first video information through an airport monitoring device;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain occurrence position information of a first event according to the first video information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to perform convolution kernel feature acquisition on the first video information to obtain feature information of the first event;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to perform weight analysis on the feature information of the first event, and obtain weight information of the feature information;
a fifth obtaining unit 15, the fifth obtaining unit 15 being configured to obtain a first linkage range;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to input the weight information and the first linkage range into an event linkage planning model, and obtain a first linkage planning scheme.
Further, the system further comprises:
a first dividing unit configured to perform mesh division on each frame of the first video information according to a predetermined size;
a seventh obtaining unit configured to obtain a first predetermined convolution kernel;
an eighth obtaining unit, configured to perform traversal convolution calculation on each frame of the first video information after the grid division according to the first predetermined convolution kernel, and obtain a first convolution calculation result;
a ninth obtaining unit, configured to obtain, according to the first convolution calculation result, a convolution calculation result that meets a predetermined convolution value range;
a first feature unit, configured to use a convolution calculation result that meets a predetermined convolution value range as feature information of the first event.
Further, the system further comprises:
a tenth obtaining unit configured to obtain category information of each of the feature information, respectively;
an eleventh obtaining unit, configured to obtain weight information of the category information for the category information according to an analytic hierarchy process;
a second feature unit configured to use weight information of the category information as weight information of the feature information.
Further, the system further comprises:
a twelfth obtaining unit, configured to obtain the first hierarchical model;
the first setting unit is used for setting a questionnaire according to the analytic hierarchy process;
a thirteenth obtaining unit, configured to input the category information into the first-level model according to the questionnaire to perform group decision, and obtain weight information of the category information.
Further, the system further comprises:
a fourteenth obtaining unit, configured to obtain a severity level of the first event according to the feature information of the first event;
a fifteenth obtaining unit configured to obtain a predetermined linkage mechanism;
a first determining unit, configured to determine the first linkage range according to the predetermined linkage mechanism according to the severity level of the first event.
Further, the system further comprises:
the first construction unit is used for training according to historical data and constructing an event linkage planning model;
a sixteenth obtaining unit, configured to input the weight information and the first linkage range into the event linkage planning model, and obtain first output information, where the first output information includes the first linkage planning scheme.
Further, the system further comprises:
a seventeenth obtaining unit, configured to obtain, by a first airport monitoring device, first reference video information;
an eighteenth obtaining unit, configured to analyze the first reference video information to obtain first reference position information;
a nineteenth obtaining unit for obtaining a predetermined range;
a twentieth obtaining unit configured to obtain a second airport monitoring device and a third airport monitoring device according to the predetermined range, wherein the second airport monitoring device and the third airport monitoring device are within the predetermined range;
a twenty-first obtaining unit, configured to obtain second reference video information according to the second airport monitoring apparatus;
a twenty-second obtaining unit, configured to obtain third reference video information according to the third airport monitoring apparatus;
a twenty-third obtaining unit, configured to perform feature fusion on the first reference video information, the second reference video information, and the third reference video information, so as to obtain first video information.
Various changes and specific examples of the emergency linkage method of the airport security management platform in the first embodiment of fig. 1 are also applicable to the emergency linkage system of the airport security management platform in this embodiment, and through the foregoing detailed description of the emergency linkage method of the airport security management platform, those skilled in the art can clearly know the implementation method of the emergency linkage system of the airport security management platform in this embodiment, so for the sake of brevity of the description, detailed descriptions are omitted here.
In addition, an embodiment of the present invention further provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the processes of the method for controlling output data are implemented, and the same technical effects can be achieved, and are not described herein again to avoid repetition.
Exemplary electronic device
Specifically, referring to fig. 9, an embodiment of the present invention further provides an electronic device, which includes a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.
In an embodiment of the present invention, the electronic device further includes: a computer program stored on the memory 1150 and executable on the processor 1120, the computer program, when executed by the processor 1120, implementing the various processes of the method embodiments of controlling output data described above.
A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.
In embodiments of the invention in which a bus architecture (represented by bus 1110) is used, bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits including one or more processors, represented by processor 1120, and memory, represented by memory 1150.
The bus 1110 may also connect various other circuits such as peripherals, voltage regulators, or power management circuits to provide an interface between the bus 1110 and the transceiver 1130, as is well known in the art. Therefore, the embodiments of the present invention will not be further described.
The transceiver 1130 may be one element or may be multiple elements, such as multiple receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 transmits data processed by the processor 1120 to other devices. Depending on the nature of the computer system, a user interface 1160 may also be provided, such as: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It is to be appreciated that in embodiments of the invention, the memory 1150 may further include memory located remotely with respect to the processor 1120, which may be coupled to a server via a network. One or more portions of the above-described network may be an ad hoc network, an intranet, an extranet, a virtual private network, a local area network, a wireless local area network, a wide area network, a wireless wide area network, a metropolitan area network, the internet, a public switched telephone network, a plain old telephone service network, a cellular telephone network, a wireless fidelity network, and a combination of two or more of the above. For example, the cellular telephone network and the wireless network may be a global system for mobile communications, code division multiple access, global microwave interconnect access, general packet radio service, wideband code division multiple access, long term evolution, LTE frequency division duplex, LTE time division duplex, long term evolution-advanced, universal mobile communications, enhanced mobile broadband, mass machine type communications, ultra-reliable low latency communications, etc.
It is to be understood that the memory 1150 in embodiments of the present invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, or flash memory.
The volatile memory includes: random access memory, which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory, dynamic random access memory, synchronous dynamic random access memory, double data rate synchronous dynamic random access memory, enhanced synchronous dynamic random access memory, synchronous link dynamic random access memory, and direct memory bus random access memory. The memory 1150 of the electronic device described in connection with the embodiments of the invention includes, but is not limited to, the above-described and any other suitable types of memory.
In an embodiment of the present invention, memory 1150 stores the following elements of operating system 1151 and application programs 1152: an executable module, a data structure, or a subset thereof, or an expanded set thereof.
Specifically, the operating system 1151 includes various system programs such as: a framework layer, a core library layer, a driver layer, etc. for implementing various basic services and processing hardware-based tasks. Applications 1152 include various applications such as: media player, browser, used to realize various application services. A program implementing a method of an embodiment of the invention may be included in application program 1152. The application programs 1152 include: applets, objects, components, logic, data structures, and other computer system executable instructions that perform particular tasks or implement particular abstract data types.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements each process of the above method for controlling output data, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The above description is only a specific implementation of the embodiments of the present invention, but the scope of the embodiments of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the embodiments of the present invention, and all such changes or substitutions should be covered by the scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. An emergency linkage method for an airport security management platform, wherein the method is applied to an emergency linkage system of the airport security management platform, and the system is in communication connection with an airport monitoring device, and the method comprises the following steps:
obtaining first video information through the airport monitoring device, wherein the first video information comprises first reference video information obtained through the airport monitoring device; analyzing the first reference video information to obtain first reference position information; obtaining a predetermined range; obtaining a second airport monitoring device and a third airport monitoring device according to the preset range, wherein the second airport monitoring device and the third airport monitoring device are within the preset range; obtaining second reference video information according to the second airport monitoring device; obtaining third reference video information according to the third airport monitoring device; performing feature fusion on the first reference video information, the second reference video information and the third reference video information to obtain first video information;
acquiring occurrence position information of a first event according to the first video information;
performing convolution kernel feature acquisition on the first video information to obtain feature information of the first event, wherein the convolution kernel feature acquisition includes: performing mesh division on each frame of the first video information according to a preset size; obtaining a first predetermined convolution kernel; performing traversal convolution calculation on each frame of the first video information after the grid division according to the first preset convolution core to obtain a first convolution calculation result; obtaining a convolution calculation result which accords with a preset convolution value range according to the first convolution calculation result; taking the convolution calculation result conforming to a preset convolution numerical range as characteristic information of the first event;
performing weight analysis on the feature information of the first event to obtain weight information of the feature information;
obtaining a first linkage range;
inputting the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme, wherein the first linkage planning scheme comprises the following steps: training according to historical data, and constructing an event linkage planning model; and inputting the weight information and the first linkage range into the event linkage planning model to obtain first output information, wherein the first output information comprises the first linkage planning scheme.
2. The method of claim 1, wherein the performing weight analysis on the feature information of the first event to obtain weight information of the feature information comprises:
respectively obtaining the category information of each feature information;
obtaining the weight information of the category information according to the category information by an analytic hierarchy process;
and taking the weight information of the category information as the weight information of the characteristic information.
3. The method of claim 2, wherein the obtaining the weight information of the category information according to the analytic hierarchy process for the category information comprises:
obtaining a first hierarchical model;
setting a questionnaire according to the analytic hierarchy process;
and inputting the category information into the first-level model according to the questionnaire to perform group decision, and obtaining the weight information of the category information.
4. The method of claim 1, wherein said obtaining a first linkage range comprises:
obtaining the severity level of the first event according to the characteristic information of the first event;
obtaining a predetermined linkage mechanism;
and determining the first linkage range according to the severity level of the first event and the preset linkage mechanism.
5. An emergency linkage system of an airport security management platform, wherein the system comprises:
the first obtaining unit is used for obtaining first video information through an airport monitoring device;
a seventeenth obtaining unit, configured to obtain, by a first airport monitoring device, first reference video information;
an eighteenth obtaining unit, configured to analyze the first reference video information to obtain first reference position information;
a nineteenth obtaining unit for obtaining a predetermined range;
a twentieth obtaining unit configured to obtain a second airport monitoring device and a third airport monitoring device according to the predetermined range, wherein the second airport monitoring device and the third airport monitoring device are within the predetermined range;
a twenty-first obtaining unit, configured to obtain second reference video information according to the second airport monitoring apparatus;
a twenty-second obtaining unit, configured to obtain third reference video information according to the third airport monitoring apparatus;
a twenty-third obtaining unit, configured to perform feature fusion on the first reference video information, the second reference video information, and the third reference video information to obtain first video information;
a second obtaining unit configured to obtain occurrence position information of a first event according to the first video information;
a third obtaining unit, configured to perform convolution kernel feature acquisition on the first video information to obtain feature information of the first event;
a first dividing unit configured to perform mesh division on each frame of the first video information according to a predetermined size;
a seventh obtaining unit configured to obtain a first predetermined convolution kernel;
an eighth obtaining unit, configured to perform traversal convolution calculation on each frame of the first video information after the grid division according to the first predetermined convolution kernel, and obtain a first convolution calculation result;
a ninth obtaining unit, configured to obtain, according to the first convolution calculation result, a convolution calculation result that meets a predetermined convolution value range;
the first characteristic unit is used for taking a convolution calculation result which accords with a preset convolution numerical range as characteristic information of the first event;
a fourth obtaining unit, configured to perform weight analysis on feature information of the first event, to obtain weight information of the feature information;
a fifth obtaining unit configured to obtain a first linkage range;
a sixth obtaining unit, configured to input the weight information and the first linkage range into an event linkage planning model to obtain a first linkage planning scheme;
the first construction unit is used for training according to historical data and constructing an event linkage planning model;
a sixteenth obtaining unit, configured to input the weight information and the first linkage range into the event linkage planning model, and obtain first output information, where the first output information includes the first linkage planning scheme.
6. An emergency linkage system of an airport security management platform, comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the transceiver, the memory and the processor are connected by the bus, characterized in that the computer program, when executed by the processor, implements the steps of the method for linkage of an airport security management platform according to any one of claims 1 to 4.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for linking emergencies of an airport security management platform according to any one of claims 1 to 4.
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