CN113393523B - Method and device for automatically monitoring computer room image and electronic equipment - Google Patents
Method and device for automatically monitoring computer room image and electronic equipment Download PDFInfo
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- CN113393523B CN113393523B CN202110623981.5A CN202110623981A CN113393523B CN 113393523 B CN113393523 B CN 113393523B CN 202110623981 A CN202110623981 A CN 202110623981A CN 113393523 B CN113393523 B CN 113393523B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
According to the method, the device and the electronic equipment for automatically monitoring the machine room image, when a target monitoring image is monitored, the existing machine room monitoring image is used as a monitoring sample, namely, the machine room monitoring image is collected, and a machine room monitoring range corresponding to the operation position of the first equipment is extracted from the machine room monitoring image. And screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range, and monitoring according to the working state and the project corresponding to the working state to obtain a target monitoring image corresponding to the first equipment operation position. Subsequently, key interaction can be carried out with the monitoring equipment through the sound of the operation position of the first equipment, and the integrity of the key interaction is improved. Because the target monitoring image corresponding to each first equipment operation position is obtained by monitoring with the machine room monitoring image as a working state source, related technical personnel are not required to monitor the state in real time, and the monitoring cost of the target monitoring image is reduced.
Description
Technical Field
The application relates to the technical field of image processing, in particular to a method and a device for automatically monitoring an image of a machine room and electronic equipment.
Background
With the continuous development of science and technology, digitization and networking make image acquisition and transmission more convenient and faster, and the scale of a video monitoring system is enlarged increasingly, however, massive image information depends on manual real-time monitoring, so that huge manpower is consumed, and the efficiency is extremely low.
The intelligent monitoring can effectively improve the monitoring efficiency and reduce the labor cost. However, in the monitoring process, there may be problems of strict control in place or monitoring data errors.
Disclosure of Invention
In view of this, the present application provides a method, an apparatus, and an electronic device for automatically monitoring an image of a machine room.
In a first aspect, a method for automatically monitoring an image of a machine room is provided, where the method includes:
collecting monitoring images of a machine room;
extracting a machine room monitoring range corresponding to a first equipment operation position from the machine room monitoring image;
screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range;
and monitoring according to the working state and the project corresponding to the working state to obtain a target monitoring image corresponding to the operating position of the first equipment.
Further, before the extracting the machine room monitoring range corresponding to the first device operation position from the machine room monitoring image, the method further includes:
acquiring analysis image characteristics aiming at the machine room monitoring image;
and according to the analysis image characteristics, determining a position where the analysis heat degree meets a preset standard from the machine room monitoring image as the first equipment operation position.
Further, the method further comprises:
acquiring key image characteristics transmitted by monitoring equipment;
determining the operation position of the target equipment matched with the key image features according to the key image features;
determining a target monitoring image corresponding to the operation position of the target equipment according to the mapping relation between the operation position of the first equipment and the target monitoring image;
and calling a target monitoring image corresponding to the operating position of the target equipment to generate a key position corresponding to the key image characteristic.
Further, if the monitored target monitoring image does not include the target monitoring image corresponding to the operation position of the target device, the method further includes:
and taking the target equipment operation position as the first equipment operation position, and executing the step of extracting the machine room monitoring range corresponding to the first equipment operation position from the machine room monitoring image again so as to iteratively monitor the obtained target monitoring image.
Further, before the key image features transmitted by the monitoring device are obtained, the method further includes:
receiving a transmission request permission of the monitoring equipment, wherein the transmission request permission comprises a position label; and setting the equipment operation position of the intelligent training model according to the position label.
Further, if the device operation locations of the intelligent training model include a plurality of locations, the transmission request permission includes the image shape feature of the monitoring device, and the method further includes:
establishing a one-to-one correspondence relationship between the image shape features and the equipment operation positions according to the position labels and the image shape features;
the determining the operation position of the target device matched with the key image feature according to the key image feature comprises: carrying out shape screening according to the key image characteristics to obtain a shape screening result;
and determining the operation position of the target equipment according to the shape screening result and the one-to-one correspondence relationship.
Further, the transmitting request permission further includes attribute image features of the device operation position, and the setting of the device operation position of the intelligent training model according to the position tag includes:
and setting the equipment operation position and the corresponding position attribute of the intelligent training model according to the position label and the attribute image characteristic.
In a second aspect, an apparatus for automatically monitoring images of a machine room is provided, which includes:
the image collecting module is used for collecting monitoring images of the machine room;
the image extraction module is used for extracting a machine room monitoring range corresponding to the operation position of the first equipment from the machine room monitoring image;
the range screening module is used for screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range;
and the image obtaining module is used for obtaining a target monitoring image corresponding to the operation position of the first equipment according to the working state and the project monitoring corresponding to the working state.
In a third aspect, an electronic device comprises: a memory for storing a computer program; a processor coupled to the memory for executing the computer program stored by the memory to implement the above-described method.
In a fourth aspect, a computer-readable storage medium has stored thereon a computer program which, when executed, performs the method described above.
According to the method, the device and the electronic equipment for automatically monitoring the computer room image, when a target monitoring image is monitored, the existing computer room monitoring image is used as a monitoring sample, namely the computer room monitoring image is collected, and a computer room monitoring range corresponding to the operation position of the first equipment is extracted from the computer room monitoring image. And screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range, and monitoring according to the working state and the project corresponding to the working state to obtain a target monitoring image corresponding to the first equipment operation position. And subsequently, key interaction can be carried out on the monitoring equipment through the sound of the operation position of the first equipment, so that the integrity of the key interaction is improved. Because the target monitoring image corresponding to each first equipment operation position is obtained by monitoring with the machine room monitoring image as a working state source, related technical personnel are not required to monitor the state in real time, and the monitoring cost of the target monitoring image is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart of a method for automatically monitoring a machine room image according to an embodiment of the present application.
Fig. 2 is a block diagram of an apparatus for automatically monitoring an image of a machine room according to an embodiment of the present application.
Fig. 3 is an architecture diagram of a system for automatically monitoring an image of a machine room according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions, the technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
In order to solve the technical problems in the background art, the inventor innovatively provides a method, a device and electronic equipment for automatically monitoring a machine room image. And screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range, and monitoring according to the working state and the project corresponding to the working state to obtain a target monitoring image corresponding to the first equipment operation position. And subsequently, key interaction can be carried out on the monitoring equipment through the sound of the operation position of the first equipment, so that the integrity of the key interaction is improved. Because the target monitoring image corresponding to each first equipment operation position is obtained by monitoring with the machine room monitoring image as a working state source, related technical personnel are not required to monitor the state in real time, and the monitoring cost of the target monitoring image is reduced.
Referring to fig. 1, a method for automatically monitoring a computer room image is shown, where the method may be applied to a risk account anti-intrusion screening system, and the method may include the following technical solutions described in steps 100 to 400.
And step 100, collecting monitoring images of the machine room.
For example, the machine room monitoring range represents an area range that can be shot by the monitoring equipment.
Illustratively, the items corresponding to the working states represent normal working states and abnormal working states corresponding to the relevant equipment room equipment.
And 400, obtaining a target monitoring image corresponding to the operation position of the first equipment according to the working state and the project monitoring corresponding to the working state.
Illustratively, the target monitoring image represents real-time data of the monitoring equipment monitoring the relevant machine room equipment.
It can be understood that, when the technical solutions described in steps 100 to 400 are executed, when monitoring the target monitoring image, the existing machine room monitoring image is used as a monitoring sample, that is, the machine room monitoring image is collected, and the machine room monitoring range corresponding to the operating position of the first device is extracted from the machine room monitoring image. And screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range, and monitoring according to the working state and the project corresponding to the working state to obtain a target monitoring image corresponding to the first equipment operation position. Subsequently, key interaction can be carried out with the monitoring equipment through the sound of the operation position of the first equipment, and the integrity of the key interaction is improved. Because the target monitoring image corresponding to each first equipment operation position is obtained by monitoring with the machine room monitoring image as a working state source, related technical personnel are not required to monitor the state in real time, and the monitoring cost of the target monitoring image is reduced.
Based on the above basis, before extracting the machine room monitoring range corresponding to the first device operation position from the machine room monitoring image, the following technical solutions described in step q1 and step q2 are further included.
And q1, obtaining analysis image characteristics aiming at the machine room monitoring image.
Analyzing image features includes, for example, analyzing colors of an image, analyzing shapes of an image, analyzing contents of an image, and the like.
And q2, determining the position of which the analysis heat degree meets a preset standard from the machine room monitoring image as the operation position of the first equipment according to the analysis image characteristics.
It can be understood that, when the technical solutions described in the above steps q1 and q2 are executed, by accurately analyzing the image features, the position where the analysis heat degree meets the preset standard can be accurately determined as the first device operation position.
Based on the basis, the technical scheme described in the following steps w 1-w 4 is also included.
And w1, acquiring key image characteristics transmitted by the monitoring equipment.
It can be understood that the key image features include the corresponding position situation of the relevant machine room equipment in the image.
And w2, determining the operation position of the target equipment matched with the key image characteristics according to the key image characteristics.
And w3, determining a target monitoring image corresponding to the operation position of the target equipment according to the mapping relation between the operation position of the first equipment and the target monitoring image.
And w4, calling the target monitoring image corresponding to the operation position of the target equipment, and generating a key position corresponding to the key image characteristic.
It can be understood that, when the technical solutions described in the above steps w1 to w4 are executed, the accuracy of generating the key positions corresponding to the key image features is improved by improving the integrity of obtaining the key image features transmitted by the monitoring device.
Based on the above basis, if the monitored target monitoring image does not include the target monitoring image corresponding to the operation position of the target device, the method further includes the technical scheme described in the following step e 1.
Step e1, taking the target device operation position as the first device operation position, and executing the step of extracting the machine room monitoring range corresponding to the first device operation position from the machine room monitoring image again so as to iteratively monitor the obtained target monitoring image.
It can be understood that, when the technical solution described in the step e1 is executed, the monitoring range of the machine room is continuously detected through the operation position of the first device, so that a target monitoring image can be accurately obtained.
Based on the above basis, before the key image features transmitted by the monitoring device are obtained, the technical scheme described in the following step t1 and step t2 is also included.
Step t1, receiving a transmission request permission of the monitoring equipment, wherein the transmission request permission comprises a position tag;
and t2, setting the equipment operation position of the intelligent training model according to the position label.
It can be understood that, when the technical solutions described in the above step t1 and step t2 are executed, the step of monitoring the transmission request permission of the device is added, so that a condition of transmission confusion of related data can be avoided, and thus, the operation position of the device can be accurately determined.
Based on the basis, the technical scheme described in the following steps y 1-y 3 is also included.
And y1, establishing a one-to-one correspondence relationship between the image shape characteristics and the equipment operation positions according to the position labels and the image shape characteristics.
Step y2, determining the operation position of the target device matched with the key image feature according to the key image feature, including: and carrying out shape screening according to the key image characteristics to obtain a shape screening result.
And y3, determining the operation position of the target equipment according to the shape screening result and the one-to-one correspondence.
It can be understood that, when the technical solutions described in the above steps y1 to y3 are executed, the one-to-one correspondence relationship between the image shape features and the device operation positions is established through the position tags and the image shape features, so that the integrity of the image shape features can be improved, and the target device operation position matched with the key image features can be accurately determined.
In an alternative embodiment, the inventor finds that, in order to improve the above technical problem, the transmission request permission of the monitoring device described in step t1 includes a location tag, where the transmission request permission also includes an attribute image characteristic of the operating location of the device; the step of setting the device operation position of the intelligent training model according to the position tag may specifically include the technical scheme described in the following step t1a 1.
And t1a1, setting the equipment operation position and the corresponding position attribute of the intelligent training model according to the position label and the attribute image characteristic.
It can be understood that, when the technical solution described in the above step t1a1 is executed, the device operation position and the corresponding position attribute can be calculated more accurately by the intelligent training model.
Based on the above basis, if the device operation positions of the intelligent training model include a plurality of positions, the attribute image feature includes a position coordinate, and the method further includes the technical scheme described in the following steps f1 to f 3.
And f1, establishing a one-to-one corresponding relation between the position coordinates and the equipment operation positions according to the position labels and the position coordinates.
Step f2, determining the operation position of the target equipment matched with the key image features according to the key image features, wherein the step f comprises the following steps: and screening the position coordinates included in the key image characteristics.
And f3, determining the operation position of the target equipment according to the one-to-one correspondence and the position coordinates included in the key image characteristics.
It can be understood that when the technical solutions described in the above steps f1 to f3 are performed, the accuracy of the position label and the position coordinates is improved, so that the operation position of the target device matching the key image features can be accurately determined.
On the basis, please refer to fig. 2 in combination, an apparatus 200 for automatically monitoring images of a machine room is provided, which is applied to an electronic device, and the apparatus includes:
the image collecting module 210 is used for collecting monitoring images of the machine room;
an image extraction module 220, configured to extract a machine room monitoring range corresponding to a first device operation position from the machine room monitoring image;
the range screening module 230 is configured to screen a working state corresponding to the first device operation position and a project corresponding to the working state according to the machine room monitoring range;
and an image obtaining module 240, configured to obtain a target monitoring image corresponding to the operation position of the first device according to the working state and the project monitoring corresponding to the working state.
On the basis of the above, please refer to fig. 3, which shows a system 300 for automatically monitoring images of a machine room, comprising a processor 310 and a memory 320, which are in communication with each other, wherein the processor 310 is configured to read a computer program from the memory 320 and execute the computer program to implement the above method.
On the basis of the above, the present application provides an electronic device, comprising: a memory for storing a computer program; a processor coupled to the memory for executing the computer program stored by the memory to implement the method described above.
On the basis of the above, the present application provides a computer-readable storage medium having stored therein a computer program which, when executed, performs the above-described method.
In summary, based on the above scheme, when monitoring the target monitoring image, the existing machine room monitoring image is used as the monitoring sample, that is, the machine room monitoring image is collected, and the machine room monitoring range corresponding to the operation position of the first device is extracted from the machine room monitoring image. And screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range, and monitoring according to the working state and the project corresponding to the working state to obtain a target monitoring image corresponding to the first equipment operation position. Subsequently, key interaction can be carried out with the monitoring equipment through the sound of the operation position of the first equipment, and the integrity of the key interaction is improved. Because the target monitoring image corresponding to each first equipment operation position is obtained by monitoring with the machine room monitoring image as a working state source, related technical personnel are not required to monitor the state in real time, and the monitoring cost of the target monitoring image is reduced.
It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C + +, C #, VB.NET, python, and the like, a conventional programming language such as C, visual Basic, fortran 2003, perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service using, for example, software as a service (SaaS).
Additionally, unless explicitly recited in the claims, the order of processing elements and sequences, use of numbers and letters, or use of other designations in this application is not intended to limit the order of the processes and methods in this application. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the foregoing description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features are required than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Where numerals describing the number of components, attributes or the like are used in some embodiments, it is to be understood that such numerals used in the description of the embodiments are modified in some instances by the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by a particular embodiment. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those explicitly described and illustrated herein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (4)
1. A method for automatically monitoring machine room images is characterized by comprising the following steps:
collecting monitoring images of a machine room;
extracting a machine room monitoring range corresponding to a first equipment operation position from the machine room monitoring image;
screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range;
monitoring according to the working state and the project corresponding to the working state to obtain a target monitoring image corresponding to the first equipment operation position;
before extracting a machine room monitoring range corresponding to a first device operation position from the machine room monitoring image, the method further includes:
acquiring analysis image characteristics aiming at the machine room monitoring image;
determining a position where the analysis heat degree meets a preset standard from the machine room monitoring image as the first equipment operation position according to the analysis image characteristics;
wherein the method further comprises:
acquiring key image characteristics transmitted by monitoring equipment;
determining the operation position of the target equipment matched with the key image features according to the key image features;
determining a target monitoring image corresponding to the operation position of the target equipment according to the mapping relation between the operation position of the first equipment and the target monitoring image;
if the monitored target monitoring image does not include the target monitoring image corresponding to the operation position of the target first device, the method further comprises the following steps:
taking the target equipment operation position as the first equipment operation position, and executing the step of extracting the machine room monitoring range corresponding to the first equipment operation position from the machine room monitoring image again so as to iteratively monitor the obtained target monitoring image;
before obtaining the key image features transmitted by the monitoring equipment, the method further comprises:
receiving a transmission request permission of the monitoring equipment, wherein the transmission request permission comprises a position tag; setting the equipment operation position of the intelligent training model according to the position label;
wherein, if the device operation position of the intelligent training model includes a plurality of positions, the transmission request permission includes the image shape feature of the monitoring device, the method further includes:
establishing a one-to-one correspondence relationship between the image shape features and the equipment operation positions according to the position labels and the image shape features;
the determining the operation position of the target device matched with the key image feature according to the key image feature comprises: carrying out shape screening according to the key image characteristics to obtain a shape screening result;
determining the operation position of the target equipment according to the shape screening result and the one-to-one correspondence;
wherein, the transmission request permission further includes attribute image features of the device operation position, and the setting of the device operation position of the intelligent training model according to the position tag includes:
setting the equipment operation position and the corresponding position attribute of the intelligent training model according to the position label and the attribute image characteristic;
wherein the attribute image feature includes a position coordinate, further comprising:
establishing a one-to-one corresponding relation between the position coordinates and the equipment operation positions according to the position labels and the position coordinates;
the determining the operation position of the target device matched with the key image feature according to the key image feature comprises: screening the position coordinates included in the key image features;
and determining the operation position of the target equipment according to the one-to-one correspondence and the position coordinates included in the key image characteristics.
2. An automatic change device of control computer lab image which characterized in that includes:
the image collection module is used for collecting monitoring images of the machine room;
the image extraction module is used for extracting a machine room monitoring range corresponding to the operation position of the first equipment from the machine room monitoring image;
the range screening module is used for screening a working state corresponding to the first equipment operation position and a project corresponding to the working state according to the machine room monitoring range;
the image obtaining module is used for obtaining a target monitoring image corresponding to the operation position of the first equipment according to the working state and the project monitoring corresponding to the working state;
before extracting a machine room monitoring range corresponding to a first device operation position from the machine room monitoring image, the method further includes:
acquiring analysis image characteristics aiming at the machine room monitoring image;
determining a position where the analysis heat degree meets a preset standard from the machine room monitoring image as the first equipment operation position according to the analysis image characteristics;
wherein the method further comprises:
acquiring key image characteristics transmitted by monitoring equipment;
determining the operation position of the target equipment matched with the key image features according to the key image features;
determining a target monitoring image corresponding to the operation position of the target equipment according to the mapping relation between the operation position of the first equipment and the target monitoring image;
if the monitored target monitoring image does not include the target monitoring image corresponding to the operation position of the target first device, the method further comprises the following steps:
taking the target equipment operation position as the first equipment operation position, and executing the step of extracting the machine room monitoring range corresponding to the first equipment operation position from the machine room monitoring image again so as to iteratively monitor the obtained target monitoring image;
before obtaining the key image features transmitted by the monitoring equipment, the method further comprises:
receiving a transmission request permission of the monitoring equipment, wherein the transmission request permission comprises a position tag; setting the equipment operation position of the intelligent training model according to the position label;
wherein, if the device operation position of the intelligent training model includes a plurality of positions, the transmission request permission includes the image shape feature of the monitoring device, the method further includes:
establishing a one-to-one correspondence relationship between the image shape features and the equipment operation positions according to the position labels and the image shape features;
the determining the operation position of the target device matched with the key image feature according to the key image feature comprises: carrying out shape screening according to the key image characteristics to obtain a shape screening result;
determining the operation position of the target equipment according to the shape screening result and the one-to-one correspondence;
wherein, the transmission request permission further includes attribute image features of the device operation position, and the setting of the device operation position of the intelligent training model according to the position tag includes:
setting the equipment operation position and the corresponding position attribute of the intelligent training model according to the position label and the attribute image characteristic;
wherein the attribute image feature includes a position coordinate, further comprising:
establishing a one-to-one corresponding relation between the position coordinates and the equipment operation positions according to the position labels and the position coordinates;
the determining the operation position of the target device matched with the key image feature according to the key image feature comprises: screening position coordinates included in the key image features;
and determining the operation position of the target equipment according to the one-to-one correspondence and the position coordinates included in the key image characteristics.
3. An electronic device, comprising:
a memory for storing a computer program;
a processor coupled to the memory for executing the computer program stored by the memory to implement the method of claim 1.
4. A computer-readable storage medium, in which a computer program is stored which, when running, performs the method of claim 1.
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