CN115733957A - Navigation equipment alarm processing method based on image recognition - Google Patents
Navigation equipment alarm processing method based on image recognition Download PDFInfo
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- CN115733957A CN115733957A CN202211460377.6A CN202211460377A CN115733957A CN 115733957 A CN115733957 A CN 115733957A CN 202211460377 A CN202211460377 A CN 202211460377A CN 115733957 A CN115733957 A CN 115733957A
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Abstract
The invention discloses a navigation equipment alarm processing method based on image recognition, belongs to the field of civil aviation stations, relates to an image recognition technology, solves the problem that alarm prompt is untimely when the civil aviation station monitors machine room navigation equipment occasionally, determines state lamp information of the navigation equipment through image recognition by collecting images of the navigation equipment, analyzes the alarm information corresponding to the images, and informs a manager, thereby completing the purpose of uniformly monitoring the navigation state lamps. The invention only collects images, analyzes and identifies the images through the image identification module, the image identification module comprises an image learning unit, effective identification of different images is realized through training and learning in advance, the identification precision is improved, and the identification precision is more and more accurate along with the increase of a training set.
Description
Technical Field
The invention belongs to the field of civil aviation stations, relates to an image recognition technology, and particularly relates to a navigation equipment alarm processing method based on image recognition.
Background
Image recognition is a technique in which a computer processes, analyzes and understands images to recognize targets and objects in various modes; the identification process comprises image preprocessing, image segmentation, feature extraction and judgment matching, in brief, the image identification is the content of how a computer reads and understands like a person, and by means of an image identification technology, a new mode of interacting with the external world can be generated by searching for faster information, even the external world can run more intelligently, and the interaction mode of the computer and the external world is greatly improved.
The problem of untimely suggestion is reported an emergency and asked for help or increased vigilance in the sporadic existence of current civil aviation station control computer lab navigation equipment, and current sound of reporting an emergency and singly appearing needs the management personnel to arrange regularly to patrol and examine, is difficult to in time discover problem, unified control and management.
Therefore, a navigation equipment alarm processing method based on image recognition is provided.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a navigation equipment alarm processing method based on image recognition, which is used for solving the phenomenon that the alarm prompt is not timely due to the sporadic existence of the navigation equipment of a monitoring machine room of a civil aviation station, optimizing the alarm sound, avoiding the need of arranging special managers for regular inspection, greatly reducing the labor cost, and quickly and efficiently making corresponding processing decisions through determined alarm information.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a navigation device alarm processing method based on image recognition, including:
acquiring an interface state lamp image of the navigation equipment;
carrying out image recognition on the navigation equipment interface state lamp image;
and step 103, informing the identified alarm information to the user.
As a further improvement of the present invention, before acquiring the image of the interface status light of the navigation device, the method further comprises:
setting at least one snapshot device, wherein the snapshot device is a camera, the camera faces to navigation equipment needing to snapshot images, and the installation position and the angle of the camera are adjusted.
As a further improvement of the invention, the snapshot device is wirelessly remotely or electrically connected with a snapshot control module, the snapshot control module controls the snapshot device to monitor the interface of the navigation equipment in real time, snapshot the interface of the navigation equipment at regular time, and sends the snapshot warning image of the state lamp of the navigation equipment to be identified to the image identification module through the image transmission module.
As a further improvement of the invention, the timing time is set by the snapshot control module.
As a further improvement of the present invention, before the capturing control module sends the captured warning image of the status light of the navigation device to be identified to the image identification module, the method further includes:
the snapshot control module is connected with the image capture module, the image capture module acquires the interface of the navigation equipment, acquires the state lamp image in the interface of the navigation equipment, and marks the acquired state lamp image in the interface of the navigation equipment as the state lamp alarm image of the navigation equipment to be identified.
As a further improvement of the invention, the image recognition module comprises an image learning unit, images of each navigation device collected by the snapshot device are input into the image learning unit as a training set, recognition of different images is completed through learning and automatic training, and when a state light alarm image of the navigation device to be recognized is analyzed, a result is automatically matched based on the image learning unit and fed back to the image recognition module.
As a further development of the invention, the process of informing the user of the recognized warning information is presented by means of a communication module and via a monitoring interface.
As a further improvement of the invention, the communication module is connected with an alarm module, the alarm module sends the monitoring attribute information and the alarm information identified by the image identification module to the user based on a preset rule, and the mode of informing the user comprises voice broadcast, short message or telephone prompt.
As a further improvement of the invention, the monitoring interface presentation comprises software display alarm information.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the navigation equipment image is collected, the state lamp information of the navigation equipment is determined through image recognition, the alarm information corresponding to the image is analyzed, and the management personnel is informed, so that the purpose of uniformly monitoring the navigation state lamp is achieved, the special management personnel does not need to arrange for regular inspection, the labor cost is greatly reduced, and the corresponding processing decision can be quickly and efficiently made through the determined alarm information. The invention only collects images, analyzes and identifies through the image identification module, the image identification module comprises an image learning unit, effective identification of different images is realized through training and learning in advance, the identification precision is improved, and the identification precision is more and more accurate along with the increase of a training set.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the advantages of the technical solutions of the present invention clearer, the present invention is described in detail below with reference to the accompanying drawings and examples.
The embodiment of the invention provides a navigation equipment alarm processing method based on image recognition, which comprises the following steps of:
step 101, obtaining an interface state lamp image of the navigation equipment.
And 102, carrying out image recognition on the navigation equipment interface state lamp image.
And 103, informing the identified alarm information to the user.
Further, before acquiring the navigation device interface state light image, the method further includes:
the method comprises the steps of setting at least one snapshot device, wherein the snapshot device can be a camera, the camera is aligned to navigation equipment needing to snapshot images, the installation position and angle of the camera are adjusted, the installation requirements on the installation position, shooting angle, distance and the like are particularly strict, and if the installation position cannot be reasonably selected and the installation angle cannot be adjusted according to the requirements, the accuracy and the sensitivity of image snapshot can be greatly reduced.
Wherein, the wireless long-range or the electric connection of snapshot device has snapshot control module, snapshot control module is used for controlling the snapshot device to take a candid photograph, specific to the navigation equipment interface, the process that snapshot control module control snapshot device took a candid photograph to the navigation equipment interface includes following step:
step 201: under the illumination of a light source, an interface of the navigation equipment is imaged on a camera sensor through an optical lens, and an optical signal is converted into an electric signal firstly and then converted into a digital signal which can be processed by a computer;
step 202: the snapshot device monitors the interface of the navigation equipment in real time, takes a snapshot of the interface of the navigation equipment at regular time, and sends the snapshot warning image of the state lamp of the navigation equipment to be identified to the image identification module through the image transmission module.
Wherein, the timing time is set by the snapshot control module.
Further, before the snapshot control module sends the snapshot warning image of the navigation device status light to be identified to the image identification module, the method further includes:
the snapshot control module is connected with the image capture module, the image capture module acquires a navigation equipment interface, further acquires a state lamp image in the navigation equipment interface, and marks the further acquired state lamp image in the navigation equipment interface as a navigation equipment state lamp alarm image to be identified;
in a specific embodiment, after receiving a navigation equipment state lamp alarm image to be identified, the image transmission module sends the navigation equipment state lamp alarm image to the image identification module in time; the transmission speed of the image transmission module is crucial, on the premise of ensuring the image quality, a large amount of redundant information in the image is eliminated by signal coding and band compression methods, and the original data is represented by the number of bytes as small as possible, so that the image transmission efficiency is improved, and the storage capacity of the image is reduced. The image is compressed and encoded and then transmitted to an image recognition module through a network.
The image recognition module comprises an image learning unit, images of the navigation equipment collected by the snapshot device are input to the image learning unit as training sets, recognition of different images is completed through continuous learning and automatic training, and when the state light alarm image of the navigation equipment to be recognized is analyzed, the result is automatically matched based on the image learning unit and fed back to the image recognition module.
Specifically, the image recognition module firstly preprocesses the warning image of the state lamp of the navigation equipment to be recognized, and the preprocessing mainly comprises the operations of drying, transformation, smoothing and the like, so that the important characteristics of the image are improved. Then, image features are extracted and selected, recognition rules are formulated according to training, and main types of the features are obtained based on the recognition rules, so that the recognition rate of image recognition is continuously improved. And finally, accurately identifying the image by identifying the special features.
Further, the process of informing the user of the identified alarm information is presented by means of the communication module and through the monitoring interface.
The communication module is connected with an alarm module, the alarm module sends monitoring attribute information and alarm information identified by the image identification module to a user based on preset rules, and the mode of informing the user comprises voice broadcast, short message or telephone prompt.
The monitoring interface display comprises software display of alarm information and storage of alarm pictures.
Specifically, the software monitoring interface displays the warning information of the navigation equipment status lamp in real time;
when an alarm occurs, the monitoring interface flashes in a striking color to remind a manager, and is linked with the alarm module to dynamically remind the manager, so that the manager can timely inform a user of adopting a corresponding coping strategy, and meanwhile, an alarm picture is stored in the database, and follow-up inquiry and tracing are facilitated.
The navigation equipment alarm processing method based on image recognition provided by the embodiment of the invention comprises the following steps: by acquiring the image of the navigation equipment, the state lamp information of the navigation equipment is determined by image recognition, the alarm information corresponding to the image is analyzed, and the management personnel is informed, so that the purpose of uniformly supervising the navigation state lamp is fulfilled, special management personnel do not need to arrange for regular patrol, the labor cost is greatly reduced, and the corresponding processing decision can be quickly and efficiently made through the determined alarm information. The invention only collects images, analyzes and identifies through the image identification module, the image identification module comprises an image learning unit, effective identification of different images is realized through training and learning in advance, the identification precision is improved, and the identification precision is more and more accurate along with the increase of a training set.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (9)
1. A navigation equipment alarm processing method based on image recognition is characterized by comprising the following steps:
acquiring an interface state lamp image of the navigation equipment;
carrying out image recognition on the navigation equipment interface state lamp image;
and 103, informing the identified alarm information to the user.
2. The method for processing the navigation equipment alarm based on the image recognition according to claim 1, further comprising, before acquiring the navigation equipment interface status light image:
setting at least one snapshot device, wherein the snapshot device is a camera, the camera faces to navigation equipment needing to snapshot images, and the installation position and the angle of the camera are adjusted.
3. The image recognition-based navigation equipment alarm processing method according to claim 2, wherein the snapshot device is wirelessly remotely or electrically connected with a snapshot control module, the snapshot control module controls the snapshot device to monitor the interface of the navigation equipment in real time, snapshot the interface of the navigation equipment at regular time, and sends the captured alarm image of the state light of the navigation equipment to be recognized to the image recognition module through the image transmission module.
4. The method as claimed in claim 3, wherein the timing time is set by the snapshot control module.
5. The method for processing the navigation device alarm based on the image recognition as claimed in claim 4, wherein before the snapshot control module sends the snapshot warning image of the status light of the navigation device to be recognized to the image recognition module, the method further comprises:
the snapshot control module is connected with the image capture module, the image capture module acquires the interface of the navigation equipment, acquires the state lamp image in the interface of the navigation equipment, and marks the acquired state lamp image in the interface of the navigation equipment as the state lamp alarm image of the navigation equipment to be identified.
6. The method for processing the navigation equipment alarm based on the image recognition is characterized in that the image recognition module comprises an image learning unit, images of the navigation equipment collected by the snapshot device are input to the image learning unit as a training set, recognition of different images is completed through learning and automatic training, and when the state lamp alarm image of the navigation equipment to be recognized is analyzed, the result is automatically matched based on the image learning unit and fed back to the image recognition module.
7. The method as claimed in claim 1, wherein the process of informing the user of the identified warning information is performed by a communication module and a monitoring interface.
8. The method as claimed in claim 7, wherein the communication module is connected to an alarm module, and the alarm module sends the monitoring attribute information and the alarm information identified by the image recognition module to the user based on a preset rule, and the mode of informing the user includes voice broadcast, short message or telephone prompt.
9. The image recognition-based navigation equipment alarm processing method of claim 8, wherein the monitoring interface presentation comprises software display of alarm information.
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| CN202211460377.6A CN115733957A (en) | 2022-11-17 | 2022-11-17 | Navigation equipment alarm processing method based on image recognition |
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| CN202211460377.6A CN115733957A (en) | 2022-11-17 | 2022-11-17 | Navigation equipment alarm processing method based on image recognition |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116527874A (en) * | 2023-05-19 | 2023-08-01 | 中国卫星海上测控部 | Multi-device abnormal state monitoring method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116527874A (en) * | 2023-05-19 | 2023-08-01 | 中国卫星海上测控部 | Multi-device abnormal state monitoring method |
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