CN111010562A - Fault monitoring method and device, computer readable storage medium and electronic equipment - Google Patents

Fault monitoring method and device, computer readable storage medium and electronic equipment Download PDF

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Publication number
CN111010562A
CN111010562A CN201811408337.0A CN201811408337A CN111010562A CN 111010562 A CN111010562 A CN 111010562A CN 201811408337 A CN201811408337 A CN 201811408337A CN 111010562 A CN111010562 A CN 111010562A
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fault
information
image information
real
preset
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Inventor
陈晓东
付皖青
陈运明
周涵
栾杰
刘懿
金菲菲
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Sinopec Research Institute of Petroleum Processing
China Petroleum and Chemical Corp
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Sinopec Research Institute of Petroleum Processing
China Petroleum and Chemical Corp
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details

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  • Health & Medical Sciences (AREA)
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Abstract

The utility model relates to a fault monitoring method, a device, a computer readable storage medium and an electronic device, relating to the field of fault monitoring, which comprises the steps of obtaining real-time image information of a preset area, wherein a fault indicating device is arranged in the preset area; calculating a similarity parameter between the real-time image information and preset image information, wherein the preset image information is the image information of the preset area when the fault indication device does not perform fault indication; and when the real-time image information is determined to be dissimilar to the preset image information according to the similarity parameter, extracting fault information according to the real-time image information. Therefore, the fault indicating device of the monitored equipment can be monitored in real time, the human resource cost is greatly reduced, the development cost is low, the deployment difficulty is small, and the fault indicating device can be widely popularized to most of equipment needing to be monitored.

Description

Fault monitoring method and device, computer readable storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of fault monitoring, and in particular, to a fault monitoring method and apparatus, a computer-readable storage medium, and an electronic device.
Background
In the information era of the modern society, with the advance of information construction of enterprises and public institutions, the operation stability of equipment in a data center machine room plays an increasingly important role, wherein the equipment comprises various electronic equipment such as network equipment, servers, safety equipment, industrial equipment and the like. How to guarantee real-time monitoring of the state of the equipment and timely reacting to the abnormal condition of the equipment is also important.
The existing equipment state monitoring generally adopts invasive monitoring, has the characteristics of high cost and non-portability, and is roughly divided into the following two modes:
1. software-based monitoring devices such as cacti, Nagios, etc. open source software. The software judges whether the service normally runs or not by acquiring the running state of the equipment. However, this type of monitoring software can only complete monitoring of partial states of the device, for example, when a hard disk or a fan of the monitored device works abnormally, even if a hardware indicator light indicates a hardware fault, the monitoring device based on software cannot detect the abnormality of the device.
2. A hardware monitoring device is customized specifically based on the circuitry of the fault indicator light of the device. The monitoring equipment can be freely customized according to the monitored fault indicator lamp, and although perfect monitoring of the equipment fault indicator lamp can be achieved, the defects are many. For example, such monitoring devices need to be customized and developed according to different devices, which is relatively high in cost; secondly, after the customization development is completed, when the method is applied to corresponding monitored equipment, the monitored equipment needs to be disassembled and assembled, so that the difficulty of installation and deployment is increased; therefore, the monitoring method is high in development cost and high in deployment difficulty, is only suitable for a data center machine room with a single equipment type, and cannot be well popularized to all equipment needing fault monitoring.
Disclosure of Invention
The purpose of the present disclosure is to provide a fault monitoring method and apparatus, a computer-readable storage medium, and an electronic device, which can monitor a fault indicating apparatus of a monitored device in real time, reduce human resource cost to a great extent, have low development cost and small deployment difficulty, and can be widely popularized to most of devices to be monitored.
In order to achieve the above object, the present disclosure provides a fault monitoring method, including:
acquiring real-time image information of a preset area, wherein a fault indicating device is arranged in the preset area;
calculating a similarity parameter between the real-time image information and preset image information, wherein the preset image information is the image information of the preset area when the fault indication device does not perform fault indication;
and when the real-time image information is determined to be dissimilar to the preset image information according to the similarity parameter, extracting fault information according to the real-time image information.
Optionally, the extracting the fault information according to the real-time image information includes:
identifying an indicator light region in the real-time image information;
identifying on-off state information of the indicator light area;
and acquiring fault information according to the on-off state information and a corresponding relation, wherein the corresponding relation is the corresponding relation between the on-off state information and the fault information.
Optionally, the identifying the indicator light region in the real-time image information includes:
an indicator light region in the real-time image information is identified using a Hough transform.
Optionally, the identifying the on-off state information corresponding to the indicator light area includes:
and identifying the on-off state information according to the tricolor channel brightness values of the pixel points in the indicator light area.
Optionally, the acquiring the real-time image information of the preset area includes:
acquiring real-time streaming media data of the preset area;
and acquiring the real-time image information from the real-time streaming media data.
Optionally, the method further comprises:
and alarming according to the fault information.
Optionally, the alarming according to the fault information includes at least one of:
sending the fault information to preset related personnel;
voice broadcasting is carried out on the fault information; and
and displaying the fault information in a text mode.
The present disclosure also provides a fault monitoring device, the device comprising:
the image acquisition module is used for acquiring real-time image information of a preset area, and a fault indicating device is arranged in the preset area;
the similarity parameter calculation module is used for calculating a similarity parameter between the real-time image information and preset image information, wherein the preset image information is the image information of the preset area when the fault indication device does not perform fault indication;
and the fault information extraction module is used for extracting fault information according to the real-time image information when the similarity between the real-time image information and the preset image information is determined according to the similarity parameter.
Optionally, the fault information extraction module includes:
the indicating lamp area identification submodule is used for identifying an indicating lamp area in the real-time image information;
the status information identification submodule is used for identifying the on-off status information of the indicator light area;
and the fault information extraction submodule is used for acquiring fault information according to the on-off state information and the corresponding relation, wherein the corresponding relation is the corresponding relation between the on-off state information and the fault information.
Optionally, the indicator light region identification submodule is configured to:
an indicator light region in the real-time image information is identified using a Hough transform.
Optionally, the status information identifying submodule is configured to:
and identifying the on-off state information according to the tricolor channel brightness values of the pixel points in the indicator light area.
Optionally, the image acquisition module comprises:
the streaming media data acquisition submodule is used for acquiring real-time streaming media data of the preset area;
and the image information acquisition submodule is used for acquiring the real-time image information from the real-time streaming media data.
Optionally, the apparatus further comprises:
and the alarm module is used for alarming according to the fault information.
Optionally, the alarm module is configured to perform at least one of:
sending the fault information to preset related personnel;
voice broadcasting is carried out on the fault information; and
and displaying the fault information in a text mode.
The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the above-mentioned fault monitoring method.
The present disclosure also provides an electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing said computer program in said memory to implement the steps of the above described fault monitoring method.
By the technical scheme, the area to be monitored and provided with the fault indicating device is subjected to real-time map acquisition, and the similarity is judged according to the image information acquired in real time and the image information in the preset normal state, extracting failure information based on the image information acquired in real time when the image information acquired in real time is not similar to the image information in a normal state in time, therefore, the fault indicating device of the monitored equipment can be monitored in real time without the need of continuous manual inspection of the fault indicating device by managers, the cost of human resources is greatly reduced, and because the non-intrusive monitoring mode, therefore need not develop according to the equipment monitored completely, development cost is low, and the deployment degree of difficulty is little to can extensively promote most needs monitored equipment, the portability is high.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a flow chart illustrating a method of fault monitoring according to an exemplary embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating a method for extracting fault information according to real-time image information in a fault monitoring method according to an exemplary embodiment of the present disclosure.
Fig. 3 is a flow chart illustrating a method of fault monitoring according to yet another exemplary embodiment of the present disclosure.
Fig. 4 is a block diagram illustrating a configuration of a fault monitoring apparatus according to an exemplary embodiment of the present disclosure.
Fig. 5 is a block diagram illustrating a structure of a fault information extraction module in a fault monitoring apparatus according to an exemplary embodiment of the present disclosure.
Fig. 6 is a block diagram illustrating a structure of an image acquisition module in a fault monitoring apparatus according to an exemplary embodiment of the present disclosure.
Fig. 7 is a block diagram illustrating a structure of a fault monitoring apparatus according to still another exemplary embodiment of the present disclosure.
FIG. 8 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flow chart illustrating a method of fault monitoring according to an exemplary embodiment of the present disclosure. As shown in fig. 1, the method includes steps 101 to 103.
In step 101, real-time image information of a preset area is obtained, and a fault indicating device is arranged in the preset area. The failure indication means may be, for example, an indicator lamp, or an indication screen or the like for indicating failure information of the monitored device. The means for acquiring the real-time image information may be an image acquisition device such as a camera.
In step 102, a similarity parameter between the real-time image information and preset image information is calculated, where the preset image information is the image information of the preset area when the fault indication device does not perform fault indication. The similarity parameter may be different according to different algorithms used for calculating the similarity, for example, a Simple euclidean distance (Simple euclidean distance) algorithm may be used to determine the similarity between the real-time image information and the preset image information, or a Histogram comparison (Histogram comparison), normalized cross Correlation (normalized cross Correlation), and salient point/area identification (Detectors of local points/areas) or other algorithms may be used to determine the similarity between the real-time image information and the preset image information, and due to the difference in the similarity calculation algorithms used, the similarity parameter may also be different, so when determining whether the real-time image information is similar to the preset image information according to the similarity parameter, the similarity parameter may be determined to be more similar when the similarity parameter is larger, or the similarity parameter may be determined to be less similar when the similarity parameter is smaller, the actual execution should be specifically judged according to the selected algorithm for calculating the similarity.
In step 103, when it is determined that the real-time image information is not similar to the preset image information according to the similarity parameter, extracting fault information according to the real-time image information. After calculating the similarity parameter between the real-time image information and the preset image information, when it is determined that the real-time image information is not similar to the preset image information according to the similarity parameter, it may be determined that the monitored device has a fault, and the fault information is displayed by the fault indicating device in the preset area. Therefore, at this time, the real-time image information containing the fault information needs to be further processed, and the fault information is extracted from the real-time image information, so that the fault information currently displayed by the monitored equipment can be automatically obtained without human inspection.
The method of extracting the fault information based on the real-time image information may be, for example: firstly, determining the area where a fault indicating device for indicating the current fault state is located in the real-time image information, then extracting the state information of the fault indicating device, and finally obtaining the required fault information by judging the specific fault indicated by the state information. In the last step, the method for judging the fault information of the monitored equipment according to the state of the fault indicating device may be to search the fault information corresponding to the state of the fault indicating device in a preset corresponding relationship. For example, the fault indication device may be an LED display screen, and indicate whether the monitored equipment has a fault or not and what the specific fault is when the fault occurs by displaying different text states (normal, fault 1, fault 2, fault 3) and the like; according to the fault monitoring method disclosed by the disclosure, in the process of monitoring the fault of the equipment, firstly, the real-time image information of the LED display screen on the monitored equipment is acquired, and whether the display of the LED display screen in the real-time image information is normal is judged; when the content displayed by the LED display screen is not normal (i.e. the real-time image information is not similar to the preset image information), the real-time image information is further extracted to obtain the content specifically displayed by the LED display screen, for example, the content may be a fault 1, and finally, the fault information corresponding to the fault 1 may be obtained through a preset corresponding relationship including a corresponding relationship between different fault names and actual fault information, for example, the actual fault information indicated by the fault 1 may be a hard disk fault.
By the technical scheme, the area to be monitored and provided with the fault indicating device is subjected to real-time map acquisition, and the similarity is judged according to the image information acquired in real time and the image information in the preset normal state, extracting failure information based on the image information acquired in real time when the image information acquired in real time is not similar to the image information in a normal state in time, therefore, the fault indicating device of the monitored equipment can be monitored in real time without the need of continuous manual inspection of the fault indicating device by managers, the cost of human resources is greatly reduced, and because the non-intrusive monitoring mode, therefore need not develop according to the equipment monitored completely, development cost is low, and the deployment degree of difficulty is little to can extensively promote most needs monitored equipment, the portability is high.
Fig. 2 is a flowchart illustrating a method of extracting fault information from real-time image information in a fault monitoring method according to still another exemplary embodiment of the present disclosure. As shown in fig. 2, the method includes steps 201 to 203.
In step 201, an indicator light region in the real-time image information is identified. When the fault indicating device in the preset area is an indicator light, the method for extracting fault information according to the real-time image information may be to identify the area where the indicator light is located in the real-time image information. Since normally the area of the indicator light is generally circular, in one possible implementation, a Hough Transform (Hough Transform) may be used to identify the circular indicator light area in the real-time image information.
The basic principle of identifying the circular indicator light area by Hough transform is that the duality of points and lines is utilized to determine the circular radius interval according to the equation (x-a) of the circle2+(y-2)2=r2And mapping the image space to the parameter space through Hough transformation, and changing lines of the image space into the gathering points of the parameter space, thereby detecting whether a circle with a given point radius exists in a given image, and determining the circular area where the indicator lamp is located in the real-time image information.
The method for identifying the indicator light region in the real-time image information may also adopt other identification methods besides hough transform, and the specific identification method is not limited herein.
In step 202, on-off status information for the indicator light zone is identified. After the area where the indicator light is located is identified in the real-time image information, the status information specifically represented in the area needs to be identified. In a possible embodiment, different indicator lights may represent different device status information, for example, when the device is in a normal state, the indicator light for representing that the device is in a normal state is on for a long time, when the device is in a fault state, the indicator lights respectively representing different fault information are turned on according to the actual fault information, for example, when the device is in a hard disk fault, the indicator light representing that the hard disk of the device is in a fault state is turned on, and when the device is in a fan fault, the indicator light representing that the fan of the device is in a fault state is turned on. Therefore, the specific fault information of the monitored equipment indicated by the indicator lamps can be acquired by judging the on-off states of different indicator lamps.
In a possible embodiment, the identifying the on/off status information of the indicator light area includes: and identifying the on-off state information according to the tricolor channel brightness values of the pixel points in the indicator light area. In the three-primary-color principle, most colors can be generated by combining red (R), green (G) and blue (B) according to different proportions, so that the identified indicator light region is analyzed based on the three-primary-color principle, and whether the indicator light in the region is in a turned-on state or a turned-off state is judged according to the RGB three-primary-color channel brightness value of each pixel point in the indicator light region.
The specific determination method may be, for example: when the R component of the pixel points above the preset proportion in the indicator light region is not more than the first preset threshold value, the G component is not more than the second preset threshold value and the B component is not more than the third preset threshold value, the indicator light in the indicator light region is judged to be in an off state, otherwise, the indicator light in the indicator light region is judged to be in an on state. The preset ratio may be, for example, 90%, and the first preset threshold, the second preset threshold, and the third preset threshold may all be the same, or any two of them may be the same, or they may be different from each other, for example, the first preset threshold, the second preset threshold, and the third preset threshold may be simultaneously 100.
TABLE 1
Figure BDA0001877917250000091
In step 203, fault information is obtained according to the on-off state information and a corresponding relationship, where the corresponding relationship is the corresponding relationship between the on-off state information and the fault information. After the on-off state information of the indicator light area is obtained, the fault information corresponding to the on-off state information can be obtained by searching in a preset corresponding relation according to the on-off state information. For example, the number of indicator lamp regions may be four, which respectively indicate (normal, fault 1, fault 2, and fault 3), when the obtained light-off state information is (light-off ), the fault state corresponding to the light-off state information is found to be fault 1 in the corresponding relationship, that is, the fault information of the monitored device is known to be fault 1, where the fault 1 may be, for example, a hard disk fault or a fan fault, and the like. Wherein a part of the correspondence may be as shown in table 1.
According to the technical scheme, the area representing the circular indicator lamp in the real-time image information is identified through a Hough transform method, and the on-off state information of the area is obtained according to the brightness values of the three primary color channels in the area, so that the fault information of the monitored equipment can be obtained through the on-off state information and the preset corresponding relation, and the fault information of the monitored equipment can be obtained in time without manually monitoring the state of the indicator lamp on site.
In a possible implementation manner, the acquiring real-time image information of the preset area includes: acquiring real-time streaming media data of the preset area; and acquiring the real-time image information from the real-time streaming media data. The method for acquiring the real-time image information of the preset area may be to directly acquire an image of the preset area by using a camera according to a certain period, or may also be to continuously acquire streaming media data from the preset area by using, for example, the camera, and select an image frame from the streaming media data according to a preset rule as the real-time image information.
Fig. 3 is a flow chart illustrating a method of fault monitoring according to yet another exemplary embodiment of the present disclosure. As shown in fig. 3, the method includes step 301 in addition to steps 101 to 103 shown in fig. 1.
In step 301, an alarm is given according to the fault information. After the fault information of the monitored equipment is acquired, alarming can be carried out according to the fault information. The specific alarm manner may be at least one of the following: sending the fault information to preset related personnel; voice broadcasting is carried out on the fault information; and displaying the fault information in a text mode.
The preset related personnel in the sending of the fault information may send the fault information to preset related personnel with corresponding authority in a gsm (global System for mobile communication) short message manner, and the preset related personnel may modify the fault information by setting, for example, the preset related personnel may be set to send the fault information to preset related personnel 1 when the fault information is fault 1, and send the fault information to preset related personnel 2 when the fault information is fault 2, and the like; in addition, the fault information can be sent to preset related personnel in a mail mode, and the fault condition of the monitored equipment can be reflected in time, so that maintenance personnel can maintain the monitored equipment with the fault as soon as possible.
The manner of text display of the fault information may be, for example, display on a fault information display page related to the monitored device.
In one possible embodiment, the method further comprises: and when a response command is not received within a preset time after the alarm is given according to the fault information, controlling the monitored equipment to be powered off or modifying the running state of the monitored equipment so as to protect the running safety of the monitored equipment.
By the technical scheme, after the fault information of the monitored equipment is obtained, corresponding alarm is timely carried out according to the fault information, and certain protection measures are timely carried out on the monitored equipment with the fault when the alarm is not responded, so that the fault of the monitored equipment can be solved as early as possible, and the operation safety of the monitored equipment is protected to a certain extent.
In one possible embodiment, the method further comprises: and storing the fault information into a preset database. When the monitored equipment has a fault, the fault information is stored in a preset database for filing, so that a user can conveniently analyze the fault data of the monitored equipment for a long time.
Fig. 4 is a block diagram illustrating a configuration of a fault monitoring apparatus according to an exemplary embodiment of the present disclosure. As shown in fig. 4, the apparatus includes:
the image acquisition module 10 is configured to acquire real-time image information of a preset area, where a fault indication device is set in the preset area;
a similarity parameter calculating module 20, configured to calculate a similarity parameter between the real-time image information and preset image information, where the preset image information is image information of the preset area when the fault indication device does not perform fault indication;
and the fault information extraction module 30 is configured to extract fault information according to the real-time image information when it is determined that the real-time image information is not similar to the preset image information according to the similarity parameter.
By the technical scheme, the area to be monitored and provided with the fault indicating device is subjected to real-time map acquisition, and the similarity is judged according to the image information acquired in real time and the image information in the preset normal state, extracting failure information based on the image information acquired in real time when the image information acquired in real time is not similar to the image information in a normal state in time, therefore, the fault indicating device of the monitored equipment can be monitored in real time without the need of continuous manual inspection of the fault indicating device by managers, the cost of human resources is greatly reduced, and because the non-intrusive monitoring mode, therefore need not develop according to the equipment monitored completely, development cost is low, and the deployment degree of difficulty is little to can extensively promote most needs monitored equipment, the portability is high.
Fig. 5 is a block diagram illustrating a structure of the fault information extraction module 30 in a fault monitoring apparatus according to an exemplary embodiment of the present disclosure. As shown in fig. 5, the fault information extraction module 30 includes:
an indicator light region identification submodule 301 for identifying an indicator light region in the real-time image information;
a status information identification submodule 302, configured to identify on-off status information of the indicator light area;
the fault information extraction submodule 303 is configured to obtain fault information according to the on-off state information and a corresponding relationship, where the corresponding relationship is a corresponding relationship between the on-off state information and the fault information.
In one possible embodiment, the indicator light region identification submodule 301 is configured to: an indicator light region in the real-time image information is identified using a Hough transform.
In a possible embodiment, the status information identification submodule 302 is configured to: and identifying the on-off state information according to the tricolor channel brightness values of the pixel points in the indicator light area.
Fig. 6 is a block diagram illustrating a structure of an image capturing module 10 in a failure monitoring apparatus according to an exemplary embodiment of the present disclosure. As shown in fig. 6, the image acquisition module 10 includes:
the streaming media data acquisition submodule 101 is configured to acquire real-time streaming media data of the preset area;
and the image information obtaining sub-module 102 is configured to obtain the real-time image information from the real-time streaming media data.
Fig. 7 is a block diagram illustrating a structure of a fault monitoring apparatus according to still another exemplary embodiment of the present disclosure. As shown in fig. 7, the apparatus further includes:
and the alarm module 40 is used for giving an alarm according to the fault information.
In one possible embodiment, the alarm module 40 is configured to perform at least one of: sending the fault information to preset related personnel; voice broadcasting is carried out on the fault information; and displaying the fault information in a text mode.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 8 is a block diagram illustrating an electronic device 800 in accordance with an example embodiment. As shown in fig. 8, the electronic device 800 may include: a processor 801, a memory 802. The electronic device 800 may also include one or more of a multimedia component 803, an input/output (I/O) interface 804, and a communications component 805.
The processor 801 is configured to control the overall operation of the electronic device 800, so as to complete all or part of the steps of the fault monitoring method. The memory 802 is used to store various types of data to support operation at the electronic device 800, such as instructions for any application or method operating on the electronic device 800 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the electronic device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the electronic Device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described fault monitoring method.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above-described fault monitoring method is also provided. For example, the computer readable storage medium may be the memory 802 described above that includes program instructions that are executable by the processor 801 of the electronic device 800 to perform the fault monitoring method described above.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims (16)

1. A method of fault monitoring, the method comprising:
acquiring real-time image information of a preset area, wherein a fault indicating device is arranged in the preset area;
calculating a similarity parameter between the real-time image information and preset image information, wherein the preset image information is the image information of the preset area when the fault indication device does not perform fault indication;
and when the real-time image information is determined to be dissimilar to the preset image information according to the similarity parameter, extracting fault information according to the real-time image information.
2. The method of claim 1, wherein the extracting fault information from the real-time image information comprises:
identifying an indicator light region in the real-time image information;
identifying on-off state information of the indicator light area;
and acquiring fault information according to the on-off state information and a corresponding relation, wherein the corresponding relation is the corresponding relation between the on-off state information and the fault information.
3. The method of claim 2, wherein the identifying the indicator light region in the real-time image information comprises:
an indicator light region in the real-time image information is identified using a Hough transform.
4. The method of claim 2, wherein the identifying the on-off status information corresponding to the indicator light zone comprises:
and identifying the on-off state information according to the tricolor channel brightness values of the pixel points in the indicator light area.
5. The method according to claim 1, wherein the acquiring real-time image information of the preset area comprises:
acquiring real-time streaming media data of the preset area;
and acquiring the real-time image information from the real-time streaming media data.
6. The method of claim 1, further comprising:
and alarming according to the fault information.
7. The method of claim 6, wherein the alerting based on the fault information comprises at least one of:
sending the fault information to preset related personnel;
voice broadcasting is carried out on the fault information; and
and displaying the fault information in a text mode.
8. A fault monitoring device, characterized in that the device comprises:
the image acquisition module is used for acquiring real-time image information of a preset area, and a fault indicating device is arranged in the preset area;
the similarity parameter calculation module is used for calculating a similarity parameter between the real-time image information and preset image information, wherein the preset image information is the image information of the preset area when the fault indication device does not perform fault indication;
and the fault information extraction module is used for extracting fault information according to the real-time image information when the similarity between the real-time image information and the preset image information is determined according to the similarity parameter.
9. The apparatus of claim 8, wherein the fault information extraction module comprises:
the indicating lamp area identification submodule is used for identifying an indicating lamp area in the real-time image information;
the status information identification submodule is used for identifying the on-off status information of the indicator light area;
and the fault information extraction submodule is used for acquiring fault information according to the on-off state information and the corresponding relation, wherein the corresponding relation is the corresponding relation between the on-off state information and the fault information.
10. The apparatus of claim 9, wherein the indicator light zone identification submodule is configured to:
an indicator light region in the real-time image information is identified using a Hough transform.
11. The apparatus of claim 9, wherein the status information identifying submodule is configured to:
and identifying the on-off state information according to the tricolor channel brightness values of the pixel points in the indicator light area.
12. The apparatus of claim 8, wherein the image acquisition module comprises:
the streaming media data acquisition submodule is used for acquiring real-time streaming media data of the preset area;
and the image information acquisition submodule is used for acquiring the real-time image information from the real-time streaming media data.
13. The apparatus of claim 8, further comprising:
and the alarm module is used for alarming according to the fault information.
14. The apparatus of claim 13, wherein the alarm module is configured to perform at least one of:
sending the fault information to preset related personnel;
voice broadcasting is carried out on the fault information; and
and displaying the fault information in a text mode.
15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
16. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 7.
CN201811408337.0A 2018-10-08 2018-11-23 Fault monitoring method and device, computer readable storage medium and electronic equipment Pending CN111010562A (en)

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