CN111062932A - Monitoring method of network service program - Google Patents

Monitoring method of network service program Download PDF

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Publication number
CN111062932A
CN111062932A CN201911334651.3A CN201911334651A CN111062932A CN 111062932 A CN111062932 A CN 111062932A CN 201911334651 A CN201911334651 A CN 201911334651A CN 111062932 A CN111062932 A CN 111062932A
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module
image data
monitoring
retrieval
main control
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王晓帆
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Yangzhou Bridge Software Technology Co Ltd
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Yangzhou Bridge Software Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/302Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3051Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/32Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/321Display for diagnostics, e.g. diagnostic result display, self-test user interface
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection

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  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
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  • Library & Information Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a monitoring method of a network service program, and particularly relates to the technical field of monitoring system networks, which comprises a main control module, wherein the main control module is wirelessly connected with a monitoring module, a video module is contained in the monitoring module and connected with the monitoring module to record image data in the monitoring module in real time, the video module is connected with the main control module through the wireless module, the video module can transmit the data to the main control module in real time, the main control module contains an analysis module, and a video image analysis program is preset in the analysis module. By adopting the retrieval module, the retrieval module can automatically compare and identify the transmitted image data, thereby avoiding the condition of missing judgment and misjudgment caused by manual work, improving the accuracy, modifying the image data in the retrieval module by an operator on duty when the retrieval module misjudges, and reducing the probability of subsequent misjudgment.

Description

Monitoring method of network service program
Technical Field
The invention relates to the technical field of monitoring system networks, in particular to a monitoring method of a network service program.
Background
With the development of information technology and network technology, the application of network service programs is more and more extensive, especially for distributed large-scale information processing systems, the network service programs play a key role, the network service programs perform centralized processing of information for the client programs set in a distributed manner, provide possible conditions for information concentration of the information system, provide basic guarantee for information security, and provide great convenience for system maintenance, but it is the centralized processing of information, so that the network service programs become a key link of the information management system, once the network service programs fail, the whole information system may be paralyzed, which puts high requirements on the network service programs, requires the network service programs to be perfect in function and reliable in operation, and for a complex information management system, the network service programs are guaranteed not to fail in test operation or during perfect in function, it is almost impossible that even if the network service program has no problem, the network service program running under the operating system is attacked by computer virus, so that the abnormal operation of the network service program can happen.
However, in the prior art, a person is required to be on duty for a long time so as to handle the program exception problem, and the person on duty is easy to be tired and easily generates a missing judgment condition, so that the program exception problem is more serious.
Disclosure of Invention
In order to overcome the above-mentioned defects in the prior art, an embodiment of the present invention provides a method for monitoring a network service program, and the technical problem to be solved by the present invention is: the operator on duty is easy to be tired and easily generates a condition of missing judgment, so that the problem of program abnormity is more serious.
In order to achieve the purpose, the invention provides the following technical scheme: a monitoring method of a network service program comprises a main control module, wherein the main control module is wirelessly connected with a monitoring module, and a video module is contained in the monitoring module;
the video recording module is connected with the monitoring module and used for recording the image data in the monitoring module in real time;
the video module is connected with the main control module through a wireless module, the video module can transmit data to the main control module in real time, and the main control module comprises an analysis module;
the analysis module is preset with a video image analysis program, the video image analysis program can identify and analyze received image data and transmit the detected image data similar to preset target image data to the retrieval module;
the retrieval module is preset with an image data identification retrieval program, the image data identification retrieval program can automatically compare and identify the transmitted image data, and the retrieval module can send a signal to the manual module when the similarity of the image data and a preset event exceeds a contrast threshold.
The invention also provides a monitoring method of the network service program, which comprises the following steps:
the method comprises the following steps: the working personnel starts the main control module and the monitoring module, and the wireless module in the video module can establish a communication channel with the main control module through a wireless network or a wired network;
step two: when the monitoring module runs, running image data can be displayed on a computer screen of the monitoring module, video recording software in the video recording module can record the current image data in real time, specific images in a video are identified and classified through the classifier, and the classified image data can be processed by the processing module, so that the image quality is improved, and a comparison basis is provided for subsequent image retrieval;
step three: the analysis module identifies and analyzes the received image data and transmits the image data detected to be similar to preset target image data to the retrieval module;
step four: the retrieval module can automatically compare and identify the transmitted image data, and when the similarity of the image data and a preset event exceeds a contrast threshold, the retrieval module can send a signal to the manual module;
step five: when the display screen in the manual module transmits data, the person on duty can perform manual judgment;
step six: the operator on duty can provide a basis for remote diagnosis through the monitoring data stored in the main control module, and then the abnormal program problem is rapidly processed.
In a preferred embodiment, the analysis module transmits the image data detected to be similar to the preset target image data to the retrieval module, and also transmits the image data to the manual module for manual judgment, and when the judgment result is inconsistent with the comparison result retrieved by the retrieval module, modifies the retrieval comparison result in the retrieval module, establishes new image index comparison data for the modified image data event, and stores the new image index comparison data in the retrieval module.
In a preferred embodiment, the recording module includes recording software and a classifier, the recording software captures image data in the recording monitoring module, and the classifier classifies and identifies a target object in the recorded image data to provide a comparison basis for subsequent image retrieval.
In a preferred embodiment, the video recording module further includes a processing module, and the processing module processes the recorded image data to improve image quality and provide a contrast basis for subsequent image retrieval.
In a preferred embodiment, the retrieval module includes a storage module and a comparison module, the storage module stores image data with preset rules of event identification according to factors such as image change and relative position relation of a set target, the comparison module performs retrieval comparison according to the transmitted image data and the image data in the storage module, and when the similarity exceeds a contrast threshold, a signal is sent to the manual module.
In a preferred embodiment, the main control module and the monitoring module are both composed of computers, and the main control module can remotely shut down and restart the monitoring module with abnormal operation.
In a preferred embodiment, the main control module can realize real-time and rapid acquisition of data of the monitoring module, so as to obtain on-site monitoring data and provide a basis for remote diagnosis.
In a preferred embodiment, the human work module is composed of a display screen and an attendant, and the attendant can observe the image data of the abnormal operation of the monitoring module through the display screen.
The invention has the technical effects and advantages that:
1. the invention can record the current image data in real time by adopting the video software in the video module, provides a contrast basis for the subsequent image retrieval, the retrieval module can automatically compare and identify the transmitted image data, the condition of missing judgment and misjudgment caused by manual work is avoided, the accuracy is improved, when the retrieval module misjudges, the image data in the retrieval module can be modified by an operator on duty, the subsequent misjudgment probability is reduced, the operator on duty can quickly repair the monitoring module through the main control module, compared with the prior art, the invention can process and analyze the image data transmitted by the monitoring module in real time under the condition of almost no need of manual intervention, the workload of the operator on duty is greatly reduced, and the efficiency and the accuracy of the operator on the fault processing of the network service program are effectively improved;
2. according to the invention, the classified image data is processed by adopting the processing module, the image quality is improved, a comparison basis is provided for subsequent image retrieval, and the main control module can realize real-time and rapid acquisition of the data of the monitoring module, so that on-site monitoring data is obtained, and a basis is provided for remote diagnosis.
Drawings
FIG. 1 is a schematic diagram of a workflow module of the present invention.
The reference signs are: the system comprises a main control module 1, a monitoring module 2, a video recording module 3, a wireless module 4, an analysis module 5, a retrieval module 6, a manual module 7, video recording software 8, a classifier 9, a processing module 10, a storage module 11 and a comparison module 12.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a monitoring method of a network service program, which comprises a main control module 1, wherein the main control module 1 is wirelessly connected with a monitoring module 2, and a video module 3 is contained in the monitoring module 2;
the video recording module 3 is connected with the monitoring module 2 and records the image data in the monitoring module 2 in real time;
the video recording module 3 is connected with the main control module 1 through a wireless module 4, the video recording module 3 can transmit data to the main control module 1 in real time, and the main control module 1 comprises an analysis module 5;
a video image analysis program is preset in the analysis module 5, and the video image analysis program can identify and analyze received image data and transmit the detected image data similar to preset target image data to the retrieval module 6;
an image data identification retrieval program is preset in the retrieval module 6, the image data identification retrieval program can automatically compare and identify the transmitted image data, and when the similarity of the image data and a preset event exceeds a contrast threshold, the retrieval module 6 can send a signal to the manual module 7.
The analysis module 5 transmits the image data detected to be similar to the preset target image data to the retrieval module 6, and simultaneously transmits the image data to the manual module 7 for manual judgment, modifies the retrieval comparison result in the retrieval module 6 when the judgment result is inconsistent with the comparison result retrieved by the retrieval module 6, establishes new image index comparison data for the modified image data event, and stores the new image index comparison data in the retrieval module 6.
The video module 3 comprises video software 8 and a classifier 9, the video software 8 captures the image data in the recording monitoring module 2, and the classifier 9 classifies and identifies the target object in the recorded image data to provide a comparison basis for subsequent image retrieval.
The retrieval module 6 comprises a storage module 11 and a comparison module 12, the storage module 11 stores image data with preset rules of event identification according to factors such as image change, relative position relation and the like of a set target in advance, the comparison module 12 performs retrieval and comparison according to the transmitted image data and the image data in the storage module 11, and when the similarity exceeds a contrast threshold, a signal is sent to the manual module 7.
The main control module 1 and the monitoring module 2 are both composed of computers, and the main control module 1 can remotely close and restart the monitoring module 2 with abnormal operation.
The person working module is composed of a display screen and an attendant, and the attendant can observe the image data of the abnormal operation of the monitoring module 2 through the display screen.
As shown in fig. 1, the embodiment specifically includes: the working personnel starts the main control module 1 and the monitoring module 2, the wireless module 4 in the video module 3 can establish a communication channel with the main control module 1 through a wireless network or a wired network, the automatic monitoring of a program is realized, the labor intensity of the staff on duty is reduced, the running image data can be displayed on the computer screen when the monitoring module 2 runs, the video software 8 in the video module 3 can record the current image data in real time, the specific image in the video is identified and classified through the classifier 9, a comparison basis is provided for the subsequent image retrieval, the retrieval module 6 can automatically compare and identify the transmitted image data, the condition of missing judgment and erroneous judgment caused by manual work is avoided, the accuracy is improved, when the similarity of the image data and a preset event exceeds a contrast threshold value, the retrieval module 6 can send a signal to the manual module 7, and when the staff on duty transmits the image data through the display screen, the method comprises the steps that an operator on duty can carry out manual judgment, when the retrieval module 6 judges wrongly, the operator on duty can modify image data in the retrieval module 6, new image index comparison data is established for the modified image data event and stored in the retrieval module 6, the probability of subsequent misjudgment is reduced, when the retrieval module 6 judges correctly, the operator on duty can carry out quick repair on the monitoring module 2 through the main control module 1.
The video recording module 3 further comprises a processing module 10, the processing module 10 can process the recorded image data, the image quality is improved, a comparison basis is provided for subsequent image retrieval, the main control module 1 can realize real-time and rapid acquisition of the data of the monitoring module 2, so that on-site monitoring data are obtained, and a basis is provided for remote diagnosis.
As shown in fig. 1, the embodiment specifically includes: the processing module 10 processes the classified image data, so as to improve the image quality and provide a comparison basis for subsequent image retrieval, and the main control module 1 can realize real-time and rapid data acquisition of the monitoring module 2, so as to obtain field monitoring data.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are referred to, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.

Claims (9)

1. A monitoring method of a network service program comprises a main control module (1), and is characterized in that: the main control module (1) is wirelessly connected with a monitoring module (2), and a video recording module (3) is contained in the monitoring module (2);
the video recording module (3) is connected with the monitoring module (2) and records the image data in the monitoring module (2) in real time;
the video module (3) is connected with the main control module (1) through a wireless module (4), the video module (3) can transmit data to the main control module (1) in real time, and the main control module (1) comprises an analysis module (5);
a video image analysis program is preset in the analysis module (5), and the video image analysis program can identify and analyze received image data and transmit the image data detected to be similar to preset target image data to the retrieval module (6);
an image data identification retrieval program is preset in the retrieval module (6), the image data identification retrieval program can automatically compare and identify the transmitted image data, and when the similarity of the image data and a preset event exceeds a contrast threshold, the retrieval module (6) can send a signal to the manual module (7).
2. The method for monitoring web services according to claim 1, wherein: also comprises the following specific steps;
the method comprises the following steps: a worker starts the main control module (1) and the monitoring module (2), and a wireless module (4) in the video module (3) can establish a communication channel with the main control module (1) through a wireless network or a wired network;
step two: when the monitoring module (2) runs, running image data can be displayed on a computer screen, video recording software (8) in the video recording module (3) can record the current image data in real time, specific images in a video are identified and classified through a classifier (9), and the classified image data can be processed by the processing module (10), so that the image quality is improved, and a comparison basis is provided for subsequent image retrieval;
step three: the analysis module (5) identifies and analyzes the received image data, and transmits the image data detected to be similar to preset target image data to the retrieval module (6);
step four: the retrieval module (6) can automatically compare and identify the transmitted image data, and when the similarity of the image data and a preset event exceeds a contrast threshold, the retrieval module (6) can send a signal to the manual module (7);
step five: when the display screen in the manual module (7) transmits image data, the person on duty can perform manual judgment and repair;
step six: the operator on duty can provide a basis for remote diagnosis through the monitoring data stored in the main control module (1), and then the abnormal program problem is rapidly processed.
3. The method for monitoring web services according to claim 1, wherein: the analysis module (5) transmits the image data detected to be similar to the preset target image data to the retrieval module (6) and also transmits the image data to the manual module (7) for manual judgment, and when the judgment result is inconsistent with the comparison result retrieved by the retrieval module (6), the retrieval comparison result in the retrieval module (6) is modified, and new image index comparison data is established for the modified image data event and stored in the retrieval module (6).
4. The method for monitoring web services according to claim 1, wherein: the video recording module (3) comprises video recording software (8) and a classifier (9), the video recording software (8) can capture image data in the recording monitoring module (2), and the classifier (9) can classify and identify target objects in the recorded image data to provide a comparison basis for subsequent image retrieval.
5. The method for monitoring web services according to claim 1, wherein: the video recording module (3) further comprises a processing module (10), and the processing module (10) can process the recorded image data, so that the image quality is improved, and a comparison basis is provided for subsequent image retrieval.
6. The method for monitoring web services according to claim 1, wherein: the retrieval module (6) comprises a storage module (11) and a comparison module (12), wherein the storage module (11) stores image data with rules of event identification preset according to factors such as image change, relative position relation and the like of a set target in advance, the comparison module (12) carries out retrieval comparison on the transmitted image data and the image data in the storage module (11), and when the similarity exceeds a contrast threshold value, a signal is sent to the manual module (7).
7. The method for monitoring web services according to claim 1, wherein: the main control module (1) and the monitoring module (2) are both formed by computers, and the main control module (1) can be remotely closed and restart the monitoring module (2) with abnormal operation.
8. The method for monitoring web services according to claim 1, wherein: the main control module (1) can realize real-time and rapid acquisition of data of the monitoring module (2), so that on-site monitoring data can be obtained, and a basis is provided for remote diagnosis.
9. The method for monitoring web services according to claim 1, wherein: the person working module is composed of a display screen and an attendant, and the attendant can observe the image data of the abnormal operation of the monitoring module (2) through the display screen.
CN201911334651.3A 2019-12-23 2019-12-23 Monitoring method of network service program Pending CN111062932A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113508391A (en) * 2021-06-11 2021-10-15 商汤国际私人有限公司 Data processing method, device and system, medium and computer equipment
WO2022259031A1 (en) * 2021-06-11 2022-12-15 Sensetime International Pte. Ltd. Methods, apparatuses, systems, media, and computer devices for processing data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113508391A (en) * 2021-06-11 2021-10-15 商汤国际私人有限公司 Data processing method, device and system, medium and computer equipment
WO2022259031A1 (en) * 2021-06-11 2022-12-15 Sensetime International Pte. Ltd. Methods, apparatuses, systems, media, and computer devices for processing data

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