CN117636264A - Intelligent monitoring method and system for factory safety detection based on edge computing box - Google Patents
Intelligent monitoring method and system for factory safety detection based on edge computing box Download PDFInfo
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Abstract
The invention discloses a factory safety detection intelligent monitoring method and system based on an edge computing box, and relates to the technical field of image processing. According to the invention, the detection algorithm is deployed at the edge end close to the camera by using the edge computing box, so that the rapid processing and analysis of data are realized, the real-time detection effect of potential safety hazards and the accuracy and timeliness of the early warning function are improved, the early warning is detected by using only an image processing method, the camera is deployed, various sensors are not needed, and the problem that the sensors are single in function and multiple sensors are needed for realizing multiple safety detections is solved.
Description
Technical Field
The invention discloses a factory safety detection intelligent monitoring method and system based on an edge computing box, and relates to the technical field of image processing.
Background
The factory safety production is a long-term basic national policy, has great significance in protecting the safety and health of workers and guaranteeing enterprises and national property, and the existing factory safety production detection means mostly adopt traditional modes such as manpower supervision, video calling and the like, cannot realize real-time reminding and consumes a large amount of manpower.
The invention patent with the publication number of CN211180641U discloses a factory monitoring system. In the using process of the factory monitoring system, data information acquired by an outdoor monitoring device and various sensors is required to be sent back to an indoor background monitoring subsystem for processing, and then subsequent reactions are carried out according to processing results. The data processing mode cannot realize quick processing and alarm because the data is required to be transmitted to a control center for unified processing.
The existing factory safety production detection adopts traditional modes such as manual supervision, video calling and the like, real-time reminding cannot be achieved, a large amount of labor is consumed, and the condition of missing detection cannot be avoided only by means of manual supervision and video calling and the like.
Meanwhile, the existing intelligent safety monitoring system needs to combine sensors to collect data information, and the collected data information needs to be transmitted to a control center for unified processing, so that quick processing cannot be realized and an alarm is sent out.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a factory safety detection intelligent monitoring method and system based on an edge computing box, and the adopted technical scheme is as follows:
in a first aspect, a factory security detection intelligent monitoring method based on an edge computing box includes:
s1, acquiring monitoring video information to generate a video stream;
s2, analyzing the video stream in real time through deep stream SDK configuration according to a factory safety detection algorithm of target detection, and sending out an alarm for abnormal information;
s3, managing a monitoring center according to QT deployment, and carrying out system management and result display on analysis of the video stream;
and S4, a database is arranged at the server, and the detection result of the factory safety detection algorithm is stored.
In some implementations, S3, performing system management and result display on the analysis of the video stream according to QT deployment monitoring center management, where the system management specifically includes monitoring management and network hard disk recorder management.
In some implementations, according to the monitoring management, monitoring parameters of a monitoring camera are managed through the factory safety detection algorithm;
and storing the video monitoring video information according to the management of the network hard disk video recorder.
In some implementations, the video stored by the network hard disk video recorder is displayed according to the result display.
In a second aspect, an embodiment of the present invention provides an intelligent monitoring system for detecting factory safety based on an edge computing box, including:
the video acquisition unit is used for acquiring the monitoring video information to generate a video stream;
the video analyzing unit is used for analyzing the video stream in real time through deep stream SDK configuration according to a factory safety detection algorithm of target detection and sending an alarm to abnormal information;
the monitoring management unit is used for deploying monitoring center management according to QT, and carrying out system management and result display on analysis of the video stream;
and the data deployment unit is used for deploying a database at the server and storing the detection result of the factory safety detection algorithm.
In some implementations, the monitoring management unit specifically includes a monitoring management subunit and a network hard disk recorder management subunit.
In some implementations, the monitoring management subunit is configured to manage monitoring parameters of the monitoring camera through the factory safety detection algorithm;
and the network hard disk video recorder management subunit is used for storing the video monitoring video information.
In some implementations, the monitoring management unit further includes a result display subunit, configured to display the video stored by the network hard disk video recorder.
In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory is configured to store one or more computer instructions, and where the one or more computer instructions implement the method according to the first aspect, when executed by the processor.
In a fourth aspect, embodiments of the present invention provide a computer storage medium having a computer program stored therein, which when executed by a processor, is adapted to carry out the method according to the first aspect.
One or more embodiments of the present invention can provide at least the following advantages:
according to the invention, the detection algorithm is deployed at the edge end close to the camera by using the edge computing box, so that the rapid processing and analysis of data are realized, the real-time detection effect of potential safety hazards and the accuracy and timeliness of the early warning function are improved, the early warning is detected by using only an image processing method, the camera is deployed, various sensors are not needed, and the problem that the sensors are single in function and multiple sensors are needed for realizing multiple safety detections is solved. The method has the advantages that the cost is reduced for the deployment of the original monitoring equipment of the factory, the improvement and the update are easy, meanwhile, the labor cost in the security monitoring process is reduced, the problems that the traditional modes of manual monitoring, video calling and the like are adopted in the existing factory security production detection, real-time reminding cannot be achieved, a large number of manual problems are consumed, meanwhile, the working efficiency is improved, the condition that manual inspection is possibly omitted is avoided, and most of economic losses are reduced and avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of a method for intelligent monitoring of factory safety detection based on an edge computing box provided by an embodiment of the invention;
FIG. 2 is a block diagram of a factory security detection intelligent monitoring method system based on an edge computing box provided by an embodiment of the invention;
fig. 3 is a schematic structural diagram of a factory safety detection intelligent monitoring device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention.
Example 1
Fig. 1 shows a flowchart of a factory security detection intelligent monitoring method based on an edge computing box, and as shown in fig. 1, the factory security detection intelligent monitoring method based on the edge computing box provided in this embodiment includes:
s1, acquiring monitoring video information to generate a video stream;
s2, analyzing the video stream in real time through deep stream SDK configuration according to a factory safety detection algorithm of target detection, and sending out an alarm for abnormal information;
s3, managing a monitoring center according to QT deployment, and carrying out system management and result display on analysis of the video stream;
and S4, a database is arranged at the server, and the detection result of the factory safety detection algorithm is stored.
The method is used for implementing the intelligent monitoring device for the safety detection of the factory, the structural schematic diagram of the device is shown in figure 3, and the device comprises a monitoring equipment module and a monitoring terminal module; the monitoring equipment module comprises equipment such as a camera, an edge computing box, an alarm, a second POE switch, a camera bracket and the like and is used for acquiring monitoring video streams in a factory in real time and processing the monitoring video streams in real time.
The camera, the edge computing box and the alarm are in communication connection through a second POE switch, and data and signal transmission can be carried out between the camera and the edge computing box.
Firstly, according to S1, obtaining monitoring video information to generate a video stream; the camera comprises an outdoor integrated machine, a gun-type camera, a hemispherical camera and the like, and is used for carrying out all-weather monitoring on a factory, and a plurality of cameras are matched for use, so that the reliable detection of video information is ensured, and the integrity and accuracy of the video information are ensured;
then according to S2, according to a factory safety detection algorithm of target detection, analyzing the video stream in real time through deep stream SDK configuration, and sending an alarm to abnormal information; the edge computing box comprises an AGX edge computing box and accessories thereof, the AGX edge computing box is deployed at the edge end close to a camera, a deep stream SDK is used on the edge computing box to configure a factory safety detection algorithm based on target detection (the safety detection algorithm comprises, but is not limited to, safety helmet detection, smoke detection and the like, and can be customized according to requirements), an input stream of the camera is analyzed and processed in real time, a detection result is stored in an edge end database, an intelligent analyzed video stream is output through a fixed port, potential safety hazard detection in aspects of factory personnel and environment is realized, and one edge computing box can process video image information acquired by a plurality of cameras at the same time and can deploy a plurality of detection algorithms at the same time.
Meanwhile, the alarm can be an audible and visual alarm which is arranged at the edge end close to the camera and used for timely giving an alarm when the edge computing box detects abnormality or abnormal behaviors of personnel.
The monitoring terminal module comprises a database, a video monitoring client, a network hard disk video recorder and a first POE switch.
The first POE switch is in communication connection with the second POE switch and is responsible for monitoring the data transmission inside the terminal module and the data transmission work with the monitoring equipment module.
And according to S3, deploying monitoring center management according to QT, and carrying out system management and result display on analysis of the video stream, wherein the system management specifically comprises monitoring management and network hard disk video recorder management.
According to the monitoring management, monitoring parameters of the monitoring camera are managed through the factory safety detection algorithm;
and storing the video monitoring video information according to the management of the network hard disk video recorder.
And displaying the video stored by the network hard disk video recorder according to the result display.
The video monitoring client is a monitoring center management terminal based on QT (quantitative trait locus) realization and is used for system management and result display, wherein the system management mainly comprises monitoring management, network hard disk video recorder management and the like, and the monitoring management has the functions of adjusting the direction of a camera, zooming, selecting to access or disconnect a certain camera input stream and the like. The network hard disk video recorder is used for managing the storage of the original video and the video after analysis and processing; the result display comprises displaying the unprocessed video stream input by the camera and the video stream processed and analyzed by the detection algorithm on the client interface, and displaying the detection result of the detection algorithm in the form of a data table.
When the edge computing box located at the edge section detects an abnormality or abnormal personnel behaviors, the video monitoring client side also pops up an alarm window and gives an alarm. The video monitoring client can be installed and deployed on a server or a personal computer.
The database uses MySql database and is deployed on a server and separated from the video monitoring client for storing the detection result of the factory safety detection algorithm. The network hard disk video recorder is also arranged separately from the video monitoring client and used for recording and storing video streams, including recording and storing original video streams and video streams after analysis and processing by the edge computing box.
Embodiment two:
fig. 2 shows a block diagram of a factory safety detection intelligent monitoring system based on an edge computing box, and as shown in fig. 2, the factory safety detection intelligent monitoring system based on the edge computing box provided in this embodiment includes:
the video acquisition unit is used for acquiring the monitoring video information to generate a video stream;
the video analyzing unit is used for analyzing the video stream in real time through deep stream SDK configuration according to a factory safety detection algorithm of target detection and sending an alarm to abnormal information;
the monitoring management unit is used for deploying monitoring center management according to QT, and carrying out system management and result display on analysis of the video stream;
and the data deployment unit is used for deploying a database at the server and storing the detection result of the factory safety detection algorithm.
Further, the monitoring management unit specifically comprises a monitoring management subunit and a network hard disk video recorder management subunit.
Further, the monitoring management subunit is configured to manage monitoring parameters of the monitoring camera through the factory safety detection algorithm;
and the network hard disk video recorder management subunit is used for storing the video monitoring video information.
Further, the monitoring management unit further comprises a result display subunit, which is used for displaying the video stored by the network hard disk video recorder.
Embodiment III:
the embodiment also provides an electronic device, including a memory and a processor, where the memory is configured to store one or more computer instructions, and the one or more computer instructions when executed by the processor implement the method of the first embodiment;
in practical applications, the processor may be an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), a digital signal processor (Digital Signal Processor, abbreviated as DSP), a digital signal processing device (Digital Signal Processing Device, abbreviated as DSPD), a programmable logic device (Programmable Logic Device, abbreviated as PLD), a field programmable gate array (Field Programmable Gate Array, abbreviated as FPGA), a controller, a microcontroller (Microcontroller Unit, MCU), a microprocessor or other electronic component implementation for executing the method in the above embodiment.
The method implemented in this embodiment is as described in embodiment one.
Embodiment four:
the present embodiment also provides a computer storage medium having a computer program stored therein, which when executed by one or more processors, implements the method of the first embodiment;
the computer readable storage medium may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The method implemented in this embodiment is as described in embodiment one.
In the several embodiments provided in the embodiments of the present invention, it should be understood that the disclosed system and method may be implemented in other manners. The system and method embodiments described above are merely illustrative.
It should be noted that, in this document, the terms "first," "second," and the like in the description and the claims of the present application and the above drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Although the embodiments of the present invention are described above, the embodiments are only used for facilitating understanding of the present invention, and are not intended to limit the present invention. Any person skilled in the art can make any modification and variation in form and detail without departing from the spirit and scope of the present disclosure, but the scope of the present disclosure is still subject to the scope of the appended claims.
Claims (10)
1. The intelligent monitoring method for the factory safety detection based on the edge computing box is characterized by comprising the following steps of:
s1, acquiring monitoring video information to generate a video stream;
s2, analyzing the video stream in real time through deep stream SDK configuration according to a factory safety detection algorithm of target detection, and sending out an alarm for abnormal information;
s3, managing a monitoring center according to QT deployment, and carrying out system management and result display on analysis of the video stream;
and S4, a database is arranged at the server, and the detection result of the factory safety detection algorithm is stored.
2. The method of claim 1, wherein S3, the system management and the result display are performed on the analysis of the video stream according to QT deployment monitoring center management, where the system management specifically includes monitoring management and network hard disk recorder management.
3. The method according to claim 2, wherein monitoring parameters of a monitoring camera are managed by the factory safety detection algorithm according to the monitoring management;
and storing the video monitoring video information according to the management of the network hard disk video recorder.
4. The method of claim 3, wherein the video stored by the network hard disk recorder is presented according to the result presentation.
5. An intelligent monitoring system for factory safety detection based on an edge computing box is characterized by comprising:
the video acquisition unit is used for acquiring the monitoring video information to generate a video stream;
the video analyzing unit is used for analyzing the video stream in real time through deep stream SDK configuration according to a factory safety detection algorithm of target detection and sending an alarm to abnormal information;
the monitoring management unit is used for deploying monitoring center management according to QT, and carrying out system management and result display on analysis of the video stream;
and the data deployment unit is used for deploying a database at the server and storing the detection result of the factory safety detection algorithm.
6. The system of claim 5, wherein the monitoring management unit comprises a monitoring management subunit and a network hard disk recorder management subunit.
7. The system of claim 6, wherein the monitoring management subunit is configured to manage monitoring parameters of a monitoring camera via the factory safety detection algorithm;
and the network hard disk video recorder management subunit is used for storing the video monitoring video information.
8. The system of claim 7, wherein the monitoring management unit further comprises a result presentation subunit for presenting video stored by the network hard disk recorder.
9. An electronic device comprising a memory and a processor, the memory configured to store one or more computer instructions, wherein the one or more computer instructions when executed by the processor implement the method of any of claims 1-4.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed by a processor, is adapted to carry out the method according to any of the preceding claims 1-4.
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