CN113593074A - Monitoring video generation method and device - Google Patents
Monitoring video generation method and device Download PDFInfo
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- CN113593074A CN113593074A CN202110802814.7A CN202110802814A CN113593074A CN 113593074 A CN113593074 A CN 113593074A CN 202110802814 A CN202110802814 A CN 202110802814A CN 113593074 A CN113593074 A CN 113593074A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
- G07C3/005—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles during manufacturing process
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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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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Abstract
The invention provides a method and a device for generating a monitoring video, wherein the method for generating the monitoring video comprises the following steps: acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image; and generating a device monitoring video based on the target node image. According to the monitoring video generation method and device, the physical state parameters and the equipment running images are obtained, the target node images corresponding to the target time nodes determined according to the physical state parameters are synthesized, the equipment monitoring video is obtained, a user can find equipment faults in time conveniently, and the monitoring efficiency of the user on the equipment can be improved.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a monitoring video generation method and device.
Background
With the development of mechanization and automation technology, in the manufacturing industry, mechanical equipment and electronic equipment replace manual work, which is a very common phenomenon, automatic production lines are increasingly popularized, and for various industrial equipment, the working state of the industrial equipment needs to be monitored in time, so that the production progress is prevented from being influenced by faults, and dangerous accidents are avoided.
At present, a method for monitoring the working state of industrial equipment mainly comprises the steps of shooting a working video of the industrial equipment in real time through a monitoring camera and manually checking the working video to know the working condition of the equipment.
Disclosure of Invention
The invention provides a monitoring video generation method and a monitoring video generation device, which are used for solving the defects that in the prior art, the working condition of equipment is known by manually checking a working video, the method is relatively mechanical and single, the fault is difficult to find in time, the time and the labor are consumed, and the monitoring efficiency is lower, so that a user can conveniently find the fault of the equipment in time, and the monitoring efficiency of the user on the equipment can be improved.
The invention provides a monitoring video generation method, which comprises the following steps: acquiring a physical state parameter of equipment and time information corresponding to the physical state parameter; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image; and generating a device monitoring video based on the target node image.
According to the method for generating the surveillance video, the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes: detecting a discontinuity value in the physical state parameter; and taking the time information corresponding to the mutation value or the time information within a preset time range corresponding to the mutation value as the target time node.
According to the method for generating the surveillance video, the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes: screening out reference state parameters from the physical state parameters based on the physical state parameters and physical state threshold values; and taking the time information corresponding to the reference state parameter as the target time node.
According to the method for generating the monitoring video, the device monitoring video is generated based on the target node image, and the method comprises the following steps: and arranging the target node images according to a time sequence, and synthesizing the target node images into the equipment monitoring video according to a target frame rate.
According to the method for generating the monitoring video, the device monitoring video is generated based on the target node image, and the method comprises the following steps: compressing the target node image based on the target definition to obtain a compressed image; and generating the equipment monitoring video based on the compressed image.
According to the method for generating the monitoring video, the device monitoring video is generated based on the target node image, and the method comprises the following steps: screening out a target monitoring image in a target monitoring time period from the target node image; and generating the equipment monitoring video based on the target monitoring image.
According to the monitoring video generation method provided by the invention, the physical state parameter is at least one of the real-time working current of the equipment, the real-time working voltage of the equipment, the real-time working power of the equipment and the real-time working temperature of the equipment.
The present invention also provides a surveillance video generating apparatus, including: the first acquisition module is used for acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; the second acquisition module is used for acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold; the first determining module is used for determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; the second determining module is used for determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image; and the generating module is used for generating the equipment monitoring video based on the target node image.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the monitoring video generation method.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the surveillance video generation method as described in any one of the above.
According to the monitoring video generation method and device, the physical state parameters and the equipment running images are obtained, the target node images corresponding to the target time nodes determined according to the physical state parameters are synthesized, the equipment monitoring video is obtained, a user can find equipment faults in time conveniently, and the monitoring efficiency of the user on the equipment can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a surveillance video generation method provided by the present invention;
fig. 2 is a schematic structural diagram of a surveillance video generating apparatus provided in the present invention;
fig. 3 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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.
The following describes a surveillance video generation method and apparatus according to the present invention with reference to fig. 1 to 3.
As shown in fig. 1, the present invention provides a surveillance video generating method, which includes the following steps 110 to 150.
It is understood that the physical state parameter of the device may be a physical parameter that reflects the operation of the device, for example, the physical state parameter may be at least one of a real-time operating current of the device, a real-time operating voltage of the device, a real-time operating power of the device, and a real-time operating temperature of the device.
Of course, the physical state parameters of the device are not limited to the listed ones, and may also be other physical parameters reflecting the operation of the device.
The time information comprises the year, the date and the time point, and when the equipment runs for more than one day, the time point corresponding to the specific working state of the equipment can be accurately found through the time information.
The physical state parameters of the sensor detection equipment can be adopted, for example, the real-time working current of the equipment can be detected through a current sensor, the real-time working voltage of the equipment can be detected through a voltage sensor, the real-time working power of the equipment can be calculated on the basis of obtaining the real-time working current of the equipment and the real-time working voltage of the equipment, and the real-time working temperature of the equipment can be detected through a temperature sensor.
Here, the physical state parameters of the device are detected in real time by using the sensor, and the time information corresponding to the physical state parameters can be simultaneously obtained, that is, in step 110, a data sequence of the physical state parameters of the device changing with time is obtained, and the physical state parameters and the corresponding time information can be plotted through a curve.
The correspondence between the physical state parameter and the time information may be continuous and uninterrupted.
And step 120, acquiring the device running image and the time information corresponding to the device running image based on the target time period threshold.
It can be understood that the camera may be used to capture the device running image, the lens of the camera may be directed toward the production device, and the running image of the production device is captured according to a certain frequency, the target period threshold refers to a time interval for capturing the device running image, for example, the target period threshold may be 1 second, and then the camera captures the device running image once per second.
The camera can be started when the equipment is started, or the camera is started before the equipment is started. Therefore, within a period of time when the equipment operates, a plurality of running images of the equipment are acquired, and the time information corresponding to the running images of the equipment can be acquired simultaneously, wherein the time information is the shooting time of the running images of the equipment.
And step 130, determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter.
It can be understood that the target time node may be found from the physical state parameters according to a preset rule, for example, time information corresponding to a mutation value in the physical state parameters may be found as the target time node, the physical state parameters may be compared with the physical state threshold, and time information corresponding to physical state parameters that are not within the physical state threshold range may be used as the target time node, where the preset rule is not limited, and a person skilled in the art may determine a specific preset rule according to a requirement.
The target time node is a key time node for the equipment to work, and the target time node found according to the preset rule can reflect the abnormal working time point of the equipment, at this time, the equipment may have a fault or may have other abnormal conditions, and the working state of the equipment corresponding to the time point can be focused on.
And step 140, determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image.
It can be understood that the device operation image corresponds to the time information, that is, the shooting time of the device operation image, and at this time, according to the target time node, the target time node is found from the time information corresponding to the device operation image, so that the device operation image shot by the camera at the target time node can be found.
For example, the target time node is 22/1/2021: 15: 30, the corresponding physical state information changes suddenly, for example, the real-time operating current of the device changes from 5A to 0A, and at this time, according to the time information corresponding to the running image of the device, the camera is found to be in the range of 22: 15: 30 the captured device runs the image.
And taking the equipment running image corresponding to the target time node as a target node image.
The target node images are selected from the device running images, and thus the number of target node images may be less than the number of device running images.
And 150, generating an equipment monitoring video based on the target node image.
It can be understood that a plurality of target node images can be arranged according to a time sequence, and the plurality of target node images are synthesized into the device monitoring video.
The device monitoring video may be periodic, that is, may be divided into a plurality of target monitoring periods, and when the device monitoring video is synthesized, the plurality of target node images may be classified according to the target monitoring periods to synthesize a plurality of device monitoring videos, that is, the device monitoring videos corresponding to the plurality of target monitoring periods.
The device monitoring video generated in the embodiment contains the running image of the device at the target node, so that the user can conveniently check the image of the abnormal running time point of the device, the user does not need to check the image frame by frame in the lengthy real-time monitoring video, the user can conveniently find the fault in time, and the working efficiency can be improved.
It is worth mentioning that after the target node image is obtained, a target identification algorithm can be adopted to find a target object in the target node image and mark the target object, for example, a person image area can be found in the target node image and marked out through a rectangular frame, and the person image area is marked out in the corresponding generated device monitoring video.
According to the monitoring video generation method provided by the invention, the physical state parameters and the equipment running images are obtained, and the target node images corresponding to the target time nodes determined according to the physical state parameters are synthesized to obtain the equipment monitoring video, so that a user can find equipment faults in time conveniently, and the monitoring efficiency of the user on the equipment can be improved.
In some embodiments, the determining, in step 130, a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes: detecting a discontinuity value in the physical state parameter; and taking the time information corresponding to the mutation value or the time information within a preset time range corresponding to the mutation value as a target time node.
It is understood that the detection of the physical state parameter may be performed to determine a sudden change value in the physical state parameter, i.e. a value of a sudden change in the physical state parameter, such as a change of the real-time operating current of the device from 5A to 0A.
For mechanical equipment or electronic equipment, in the operation process, when a physical state parameter changes suddenly, a fault often occurs, or other abnormal conditions occur, the sudden change value can be focused, and the time corresponding to the sudden change value can be used as a target time node.
And the target node image is selected by using the time corresponding to the mutation value, so that the accuracy of abnormal monitoring can be improved.
Of course, the time information within the preset time range corresponding to the mutation value may be used as the target time node, that is, the time information of the time point at which the mutation value appears within the preset time range is considered, the preset time range may be the last 5 seconds of the time point at which the mutation value appears, the first 5 seconds of the time point at which the mutation value appears, or the first 5 seconds plus the last 5 seconds of the time point at which the mutation value appears, the time within the preset time range is used as the target time node, and the minimum unit of the time information may be second.
In some embodiments, the determining, in step 130, a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes: screening out reference state parameters from the physical state parameters based on the physical state parameters and the physical state threshold; and taking the time information corresponding to the reference state parameter as a target time node.
It is understood that a physical state threshold may be preset, and the physical state threshold may include: the current threshold, the voltage threshold, the power threshold, or the temperature threshold may be obtained by comparing the physical state parameter with the physical state threshold, for example, finding out the physical state parameter exceeding the physical state threshold, and using the time information corresponding to the physical state parameter as the target time node.
Therefore, the physical state parameters exceeding the physical state threshold can be found out, the corresponding time is determined, the time when the operation of the equipment is out of limit can be monitored, and the monitoring efficiency of the equipment can be further improved.
In some embodiments, the generating 150 of the device monitoring video based on the target node image includes: and arranging the target node images according to a time sequence, and synthesizing the target node images into the equipment monitoring video according to the target frame rate.
It can be understood that after the target node images are determined, the target node images may be sorted according to the corresponding time information, and the target node images are synthesized into the device monitoring video according to a preset target frame rate according to a time sequence.
For example, the target frame rate may be 5 sheets/second, and the target frame rate may be set artificially according to a requirement, so that the operating state of the video display apparatus may be monitored by the apparatus.
In some embodiments, the generating 150 of the device monitoring video based on the target node image includes: compressing the target node image based on the target definition to obtain a compressed image; and generating the equipment monitoring video based on the compressed image.
It can be understood that, before the device monitoring video is generated, the target node image may be compressed, that is, the target node image may be compressed according to the set target definition, so as to reduce the definition of the target node image.
And firstly converting the target node image into a compressed image, and then synthesizing the compressed image to obtain the equipment monitoring video.
Therefore, the storage space occupied by the equipment monitoring video can be properly reduced while the definition is ensured.
In some embodiments, the generating 150 of the device monitoring video based on the target node image includes: screening target monitoring images in a target monitoring time period from the target node images; and generating a device monitoring video based on the target monitoring image.
It can be understood that a target monitoring time period can be set, that is, a device monitoring period is set, target node images are classified according to time information and are respectively classified into different target monitoring time periods, so that the range of device monitoring videos can be further segmented, and a user can select the device monitoring videos to view according to the time periods.
The index can be established for the equipment monitoring video according to the target monitoring time period, so that a user can conveniently and quickly find the equipment monitoring video in the corresponding time period, and the monitoring efficiency can be improved.
The following describes the monitoring video generation device provided by the present invention, and the monitoring video generation device described below and the monitoring video generation method described above may be referred to in correspondence with each other.
As shown in fig. 2, the present invention provides a surveillance video generating apparatus, including: a first obtaining module 210, a second obtaining module 220, a first determining module 230, a second determining module 240, and a generating module 250.
The first obtaining module 210 is configured to obtain a physical state parameter of a device and time information corresponding to the physical state parameter.
The second obtaining module 220 is configured to obtain the device running image and time information corresponding to the device running image based on the target time period threshold.
The first determining module 230 is configured to determine a target time node based on the physical state parameter and time information corresponding to the physical state parameter.
And a second determining module 240, configured to determine the target node image from the device running image based on the target time node and the time information corresponding to the device running image.
And a generating module 250, configured to generate a device monitoring video based on the target node image.
In some embodiments, the first determining module 210 is further configured to detect a sudden change in the physical state parameter; and taking the time information corresponding to the mutation value or the time information within a preset time range corresponding to the mutation value as the target time node.
In some embodiments, the first determining module 210 is further configured to screen out a reference state parameter from the physical state parameters based on the physical state parameters and a physical state threshold; and taking the time information corresponding to the reference state parameter as the target time node.
In some embodiments, the generating module 250 is further configured to arrange the target node images according to a time sequence, and synthesize the target node images into the device monitoring video according to a target frame rate.
In some embodiments, the generating module 250 is further configured to compress the target node image based on the target definition to obtain a compressed image; and generating the equipment monitoring video based on the compressed image.
In some embodiments, the generating module 250 is further configured to screen out a target monitoring image in a target monitoring period from the target node image; and generating the equipment monitoring video based on the target monitoring image.
In some embodiments, the physical state parameter is at least one of a device real-time operating current, a device real-time operating voltage, a device real-time operating power, and a device real-time operating temperature.
The monitoring video generation device provided in the embodiment of the present application is used for executing the monitoring video generation method, and the specific implementation manner is consistent with the method implementation manner, and the same beneficial effects can be achieved, which is not described herein again.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)310, a communication Interface (communication Interface)320, a memory (memory)330 and a communication bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to perform a surveillance video generation method comprising: acquiring a physical state parameter of equipment and time information corresponding to the physical state parameter; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image; and generating a device monitoring video based on the target node image.
In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the surveillance video generation method provided by the above methods, the method comprising: acquiring a physical state parameter of equipment and time information corresponding to the physical state parameter; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image; and generating a device monitoring video based on the target node image.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the monitoring video generation methods provided above, the method including: acquiring a physical state parameter of equipment and time information corresponding to the physical state parameter; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image; and generating a device monitoring video based on the target node image.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A surveillance video generation method, comprising:
acquiring a physical state parameter of equipment and time information corresponding to the physical state parameter;
acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold;
determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter;
determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image;
and generating a device monitoring video based on the target node image.
2. The surveillance video generation method according to claim 1, wherein the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes:
detecting a discontinuity value in the physical state parameter;
and taking the time information corresponding to the mutation value or the time information within a preset time range corresponding to the mutation value as the target time node.
3. The surveillance video generation method according to claim 1, wherein the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes:
screening out reference state parameters from the physical state parameters based on the physical state parameters and physical state threshold values;
and taking the time information corresponding to the reference state parameter as the target time node.
4. The surveillance video generation method according to claim 1, wherein generating a device surveillance video based on the target node image comprises:
and arranging the target node images according to a time sequence, and synthesizing the target node images into the equipment monitoring video according to a target frame rate.
5. The surveillance video generation method according to any one of claims 1 to 4, wherein the generating of the device surveillance video based on the target node image includes:
compressing the target node image based on the target definition to obtain a compressed image;
and generating the equipment monitoring video based on the compressed image.
6. The surveillance video generation method according to any one of claims 1 to 4, wherein the generating of the device surveillance video based on the target node image includes:
screening out a target monitoring image in a target monitoring time period from the target node image;
and generating the equipment monitoring video based on the target monitoring image.
7. The surveillance video generation method according to any one of claims 1 to 4, wherein the physical state parameter is at least one of a device real-time operating current, a device real-time operating voltage, a device real-time operating power, and a device real-time operating temperature.
8. A surveillance video generating apparatus, comprising:
the first acquisition module is used for acquiring physical state parameters of equipment and time information corresponding to the physical state parameters;
the second acquisition module is used for acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target time period threshold;
the first determining module is used for determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter;
the second determining module is used for determining a target node image from the equipment running image based on the target time node and the time information corresponding to the equipment running image;
and the generating module is used for generating the equipment monitoring video based on the target node image.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the surveillance video generation method according to any of claims 1 to 7 are implemented when the program is executed by the processor.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the surveillance video generation method according to any one of claims 1 to 7.
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