CN111757096A - Video operation and maintenance management system and method - Google Patents
Video operation and maintenance management system and method Download PDFInfo
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Abstract
The invention discloses a video operation and maintenance management system and a method, wherein the operation and maintenance system comprises an equipment management module, a GIS visualization module, an information state monitoring module, a fault emergency repair work order module and an on-duty management module, wherein the equipment management module is used for registering and making a book of all online management video operation and maintenance equipment and storing the management information of the video operation and maintenance equipment; the GIS visualization module checks the current positions of all the video operation and maintenance equipment and the basic information of the video operation and maintenance equipment through a GIS map interface; the information state monitoring module is used for monitoring the working state of the operation and maintenance equipment. The data visualization means provided by the system clearly and intuitively checks the operation condition of the whole video operation and maintenance management system, realizes the inspection of the camera, detects the quality of the returned video, and reduces the workload of monitoring operation and maintenance personnel; when a fault is found, a work order is automatically generated to inform maintenance personnel, so that the time is saved.
Description
Technical Field
The invention relates to the field of video operation and maintenance management, in particular to a video operation and maintenance management system and a video operation and maintenance management method.
Background
The visualization operation and maintenance management platform realizes the visualization of all operation and maintenance management devices through a network, the existing visualization operation and maintenance management platform only provides the hardware condition of the access of related devices, the query analysis and data visualization view of the network condition, the storage condition, the port condition and the like, is relatively universal, is mainly applied to the butt joint of hardware devices, such as storage devices, platform devices and terminal devices, and at present, no special platform aiming at video operation and maintenance management exists.
The existing video equipment management can not realize the visualization of all equipment information, and meanwhile, when the operation and maintenance equipment breaks down, the fault reason can not be automatically analyzed, and the front-end operation and maintenance personnel can not be automatically dispatched to inform the front-end operation and maintenance personnel to go forward for maintenance.
Therefore, the existing visual operation and maintenance management platform needs to be improved, and a video operation and maintenance management system which is specially used for video operation and maintenance management and can realize information visualization of all video operation and maintenance equipment, automatically analyze failure reasons of the operation and maintenance equipment and automatically send a bill to inform front-end operation and maintenance personnel to go forward for maintenance is established.
Disclosure of Invention
In order to solve the technical problems, the invention provides a video operation and maintenance management system and method which are specially used for video operation and maintenance management and can realize information visualization of all video operation and maintenance equipment, automatically analyze failure reasons of the operation and maintenance equipment and automatically dispatch to inform front-end operation and maintenance personnel to go forward for maintenance.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: the utility model provides a video operation and maintenance management system, includes equipment management module, the visual module of GIS, information state monitoring module, trouble salvagees work order module and management module on duty, wherein:
the device management module is used for registering and making a book of all online management video operation and maintenance devices and storing management information of the video operation and maintenance devices;
the GIS visualization module checks the current positions of all the video operation and maintenance equipment and the basic information of the video operation and maintenance equipment through a GIS map interface;
the information state monitoring module comprises a video image inspection unit, a coding and decoding equipment inspection unit, a video quality diagnosis unit, a real-time video on demand unit and a communication light path detection unit; the video image inspection unit is used for detecting the running state of the camera and the quality of a video image; the inspection unit of the coding and decoding equipment is used for detecting the running state of the coding equipment; the video quality diagnosis unit is used for providing a fault analysis and fault solution for the detected video image quality fault; the real-time video-on-demand unit is used for supporting real-time image browsing in single-picture and multi-picture modes; the communication light path detection unit is used for monitoring the optical fiber transceiver and the EPON equipment;
the fault emergency repair work order module is used for dispatching orders when the video operation and maintenance equipment breaks down, and dispatching orders to corresponding front-end maintenance personnel according to the information of the on-duty management module.
Specifically, the video operation and maintenance equipment comprises all direct and peripheral supporting equipment for maintaining and monitoring videos, and at least comprises a camera, coding equipment, GIS visualization equipment, a fiber-optic transceiver and EPON equipment.
Preferably, the video quality diagnosis unit comprises a video acquisition terminal, a video optical transceiver, a rack-mounted optical transceiver, a video server, a convergence switch, a diagnosis host, a CS supervision client, a television screen server, an intranet switch, an operation and maintenance host and an operation and maintenance client;
the video acquisition terminal, the video optical transceiver, the rack-mounted optical transceiver, the video server and the convergence switch are sequentially connected through optical fibers; the aggregation switch is connected with the intranet switch through a video private network; the internal network switch is respectively connected with the diagnosis host through an internal network, and the CS supervision client is connected with the television screen server; the intranet switch is connected with the operation and maintenance switch through a network gate; the operation and maintenance switch is connected with the operation and maintenance host and the operation and maintenance client through optical fibers.
Preferably, the management information of the video operation and maintenance equipment comprises equipment classification management, equipment batch management and equipment detailed information management.
Preferably, the basic information of the video operation and maintenance equipment includes basic information of a user of the operation and maintenance equipment, a call state and alarm information.
Preferably, the on-duty management module is used for assisting an on-duty person to register the on-duty person, daily work content reminding and relevant on-duty person display.
Preferably, the fault emergency repair work order module sends orders to front-end maintenance personnel in four modes of short messages, mails, mobile phone APP and WeChat.
Preferably, the emergency repair system further comprises an emergency repair scheduling module, wherein the emergency repair scheduling module completes conversation with various communication terminals through a unified duty desk and 'push-to-talk' to various different terminals, so that unified scheduling of emergency handling and quick transmission of decision information are realized.
Preferably, the system also comprises a knowledge base module which is used for storing basic concepts, theoretical knowledge and fact data related to the field, and obtained laws, common sense knowledge, heuristic rules and experience trainings, and also comprises professional knowledge and technical specifications and expert experience related to laws and regulations and dealing with various emergencies.
Preferably, the operation and maintenance assessment module is further included and is used for carrying out measurement and statistics on the work of the operation and maintenance personnel and giving an evaluation in combination with the post capability.
A video operation and maintenance management method is used in combination with the video operation and maintenance management system, and comprises the following steps:
step 1: performing online registration and making registration on all operation and maintenance equipment through the equipment management module;
step 2: checking the positions of all the video operation and maintenance equipment and the basic information of the video operation and maintenance equipment through a GIS map interface of a GIS visualization module;
and step 3: the video image inspection module is used for detecting the communication state, signal loss, picture color cast, definition fault, brightness fault, stripe interference, snowflake interference, scene change, picture freezing, holder control failure and artificial shielding fault of the camera;
and 4, step 4: if the fault information is detected, firstly, acquiring the equipment position information of the fault information through an equipment management module, then matching the state of the fault information with the state of the fault case information stored in a knowledge base module, and analyzing the fault type;
and 5: after the fault type is analyzed, the dispatch is carried out through the cooperation of the emergency repair scheduling module, the duty management module and the fault emergency repair work order module;
step 6: and the front-end maintenance personnel timely handle the fault condition after receiving the order dispatching notification, and the database automatically records the order dispatching, order receiving and fault recovery time.
The invention has the beneficial technical effects that: the data visualization means provided by the system can clearly and intuitively check the operation condition of the whole video operation and maintenance management system, the system can check a large number of cameras, and timely detect the quality of the returned video, so that the workload of monitoring operation and maintenance personnel is greatly reduced; when the system finds a fault, the work order is automatically generated at the first time and is actively notified to maintenance personnel, so that the time from manually finding a problem to filling the work order to notify the maintenance personnel is saved.
Drawings
Fig. 1 is an overall framework diagram of a video operation and maintenance management system according to the present invention.
Fig. 2 is a schematic diagram of the overall framework of the video quality diagnosis unit of the present invention.
Fig. 3 is a flowchart illustrating steps of a video operation and maintenance management method according to the present invention.
Fig. 4 is a flow chart of the method for detecting the quality of the video image.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments, but the scope of the present invention is not limited to the following embodiments.
As shown in fig. 1-2, a video operation and maintenance management system, including equipment management module, the visual module of GIS, information state monitoring module, trouble repair work order module and the management module on duty, equipment management module, the visual module of GIS, information state monitoring module, trouble repair work order module and the management module on duty all connect through the network, wherein:
the device management module is used for registering and making a book of all online management video operation and maintenance devices and storing management information of the video operation and maintenance devices;
specifically, the video operation and maintenance equipment comprises all direct and peripheral supporting equipment for maintaining and monitoring videos, at least comprising a camera, a coding device, a GIS visualization device, a fiber-optic transceiver, an EPON device and the like.
The management information of the video operation and maintenance equipment comprises equipment classification management, equipment batch management and equipment detailed information management.
The GIS visualization module is a technical System for collecting, storing, managing, operating, analyzing, displaying and describing relevant Geographic distribution data in the whole or partial earth surface (including the atmosphere) space through a GIS (Geographic Information System) under the support of a computer hardware and software System, and the GIS visualization module is used for viewing the current positions of all video operation and maintenance equipment and the basic Information of the video operation and maintenance equipment through a map interface, wherein the basic Information of the video operation and maintenance equipment comprises the basic Information of operation and maintenance equipment users, call states and alarm Information.
The information state monitoring module comprises a video image inspection unit, a coding and decoding equipment inspection unit, a video quality diagnosis unit, a real-time video on demand unit and a communication light path detection unit, wherein the video image inspection unit is used for detecting the running state of the camera and the video picture quality; the inspection unit of the coding and decoding equipment is used for detecting the running state of the coding equipment; the video quality diagnosis unit is used for providing a fault analysis and fault solution for the detected video image quality fault; the real-time video-on-demand unit is used for supporting real-time image browsing in single-picture and multi-picture modes; the communication optical path detection unit is used for monitoring the optical fiber transceiver and the EPON equipment.
Specifically, video image inspection mainly detects faults such as communication state, signal loss, picture color cast, definition fault, brightness fault, stripe interference, snowflake interference, scene change, picture freezing, tripod head control failure, artificial shielding and the like of a camera.
The fault emergency repair work order module is used for dispatching orders when the video operation and maintenance equipment breaks down, and dispatching orders to corresponding front-end maintenance personnel according to the information of the on-duty management module. The on-duty management module is used for assisting an on-duty person to register the on-duty person, daily work content reminding and relevant on-duty person display. The failure emergency repair work order module sends orders to front-end maintenance personnel in four modes of short messages, mails, mobile phone APP and WeChat.
The system also comprises an emergency maintenance scheduling module, a knowledge base module, an operation and maintenance assessment module, a report analysis module, a statistical analysis module and an information query module, wherein all the modules are connected through a network.
Specifically, the emergency repair scheduling module completes calls with various communication terminals and 'push-to-talk' to various different terminals through a unified duty desk, and realizes unified scheduling of emergency handling and rapid transmission of decision information. The knowledge base module is used for storing basic concepts, theoretical knowledge and fact data related to the field, and obtained laws, common sense knowledge, heuristic rules and experience training, and also comprises professional knowledge and technical specifications related to laws and regulations, handling various emergencies and expert experience. The operation and maintenance assessment module is used for measuring and counting the work of operation and maintenance personnel and evaluating the operation and maintenance personnel in combination with post capability.
The report analysis module can inquire historical diagnosis records and alarm records according to dates; historical diagnosis records and alarm records can be inquired according to the brand, the organization, the fault severity level, the starting date, the ending date and the diagnosis type of the camera; a statistical analysis module: the user can adopt a multi-angle and multi-condition mode to carry out timely and detailed statistical analysis, and the system can guide the user to maintain the fault equipment in time, so that the operation and maintenance process and the result assessment basis are provided for the user. The user may query the device diagnostic history for the day by entering the query date of the day report. And the information query module is used for querying the sending records of the short message, the multimedia message and the APP in a pushing mode according to the conditions of time, operation and maintenance receivers, mobile phone numbers and the like.
Fig. 2 is a structural framework of the video quality diagnosis unit according to this embodiment, and referring to fig. 2, the video quality diagnosis unit includes a video acquisition terminal, a video optical transceiver, a rack-mounted optical transceiver, a video server, a convergence switch, a diagnosis host, a CS supervision client, a television screen server, an intranet switch, an operation and maintenance host, and an operation and maintenance client;
the video acquisition terminal, the video optical transceiver, the rack-mounted optical transceiver, the video server and the convergence switch are sequentially connected through optical fibers; the aggregation switch is connected with the intranet switch through a video private network; the internal network switch is respectively connected with the diagnosis host through an internal network, and the CS supervision client is connected with the television screen server; the intranet switch is connected with the operation and maintenance switch through a network gate; the operation and maintenance switch is connected with the operation and maintenance host and the operation and maintenance client through optical fibers.
Specifically, the video acquisition terminal is a ball machine or a camera gun, the video acquisition terminal is distributed in each county, city, province and region, the video acquisition terminal and the video optical network machine form a data acquisition end, and the video acquisition terminal transmits acquired data to the video optical network machine; the video optical transceiver transmits data to the rack-mounted optical transceiver through the optical fiber.
The video server is an integrated matrix type server, the rack type optical transceiver receives video data and then transmits the video data to the video server for storage, the video server sends the data to the convergence switch, and the convergence switch sends the data to the video private network in a unified mode. The video private network comprises a first-type point video private network, a second-type point video private network and a third-type point video private network. The first-class point video private network is a video private network of a monitoring center dispatched by each region, and the second-class and third-class point video private networks are video private networks of regional offices and monitoring centers.
After receiving the data, the intranet switch in the video private network distributes the data to the diagnosis host, and the diagnosis host is used for diagnosing the video data and determining a video fault point and a video fault reason. And meanwhile, the CS supervision client analyzes the data and stores the video content data into the television screen server when receiving the data transmitted by the intranet switch, the television screen server is connected with a television screen through a cable, and the original video content and the analyzed data are directly displayed through the television screen so as to achieve the purposes of monitoring the video content, managing assets and the like.
The diagnosis host computer analyzes the data collected by the video terminal and returns the data to the intranet switch, the intranet switch transmits the data fed back to the operation and maintenance switch after passing through the network gate, and the data are fed back to the operation and maintenance host computer and the operation and maintenance client through the operation and maintenance switch. The operation and maintenance client is connected with the handheld operation and maintenance terminal through the Internet.
As shown in fig. 3, a video operation and maintenance management method is used in conjunction with the above-mentioned video operation and maintenance management system, and the method includes the following steps:
step 1: performing online registration and making registration on all operation and maintenance equipment through the equipment management module;
step 2: checking the positions of all the video operation and maintenance equipment and the basic information of the video operation and maintenance equipment through a GIS map interface of a GIS visualization module;
and step 3: the video image inspection module is used for detecting the communication state, signal loss, picture color cast, definition fault, brightness fault, stripe interference, snowflake interference, scene change, picture freezing, holder control failure and artificial shielding fault of the camera;
and 4, step 4: if the fault information is detected, firstly, acquiring the equipment position information of the fault information through an equipment management module, then matching the state of the fault information with the state of the fault case information stored in a knowledge base module, and analyzing the fault type;
and 5: after the fault type is analyzed, the dispatch is carried out through the cooperation of the emergency repair scheduling module, the duty management module and the fault emergency repair work order module;
step 6: and the front-end maintenance personnel timely handle the fault condition after receiving the order dispatching notification, and the database automatically records the order dispatching, order receiving and fault recovery time.
Specifically, in step 3, the video image inspection module detects the video image and the video quality by the following method:
before occlusion detection, a concept of a standard frame is introduced, the standard frame is calculated firstly, and when detection is performed later, only the detection result needs to be compared with the value of the standard frame. On the premise of ensuring the calculation speed, the accuracy of video quality detection is improved, and the condition of false alarm is avoided.
In particular, with reference to fig. 4, the method comprises the following steps:
s1, setting an image standard frame, and calculating the ratio of the standard image block definition to the non-black pixel points, wherein the specific process is as follows:
s1-1: adding a picture as a standard image at will, acquiring a frame of standard image, and obtaining the aspect ratio of the standard image and the pixel point total of the image through opencv;
s1-2: converting the standard image into a GRAY image GRAY through COLOR _ BGR2GRAY of opencv, and solving the mean value of pixel points of the standard image
And the pixel mean of the gray image gray
S1-3: extracting feature points of a standard frame of a standard image through an SIFT _ create function of OpenCV, storing the feature point information in Kp, converting the standard image into an LAB space image LAB through a COLOR _ BGR2LAB, cutting the original standard image by m x n to form standard image blocks, and storing all the standard image blocks into a list;
s1-4: dividing the gray image by m × n to form gray image blocks, and storing all the gray image blocks in a gary _ list;
s1-5: convolving the standard image block and the gray image block by a convolution kernel of 3x3, wherein the variance value clarity obtained by calculation is the definition of the corresponding image block, and the calculation formula is as follows;
setting Pi as the pixel points larger than 0, binarizing the standard image block and the gray image block to obtain the proportion WP of non-black pixel points of the standard image block and the gray image block:
storing the detail and Wp calculated by each part into std _ detail _ list and std _ Wp _ list of each standard frame;
s2: continuously reading and implementing the current image from the video stream, performing the operations of the steps S1-1 to S1-2 on the image read each time, calculating to obtain the mean value now _ Pavg of the image pixel points of the current image, the mean value now _ Gavg of the pixel points of the current gray image gray, the current image now _ sharp _ list, the current image now _ Wp _ list and the value of the current image in the LAB domain through a BGR2LAB function;
s3, occlusion \ fuzzy detection:
comparing the now _ Clarify _ list and the now _ Wp _ list obtained in the step S2 with the std _ Clarify _ list and the std _ Wp _ list of the standard frame, accumulating the abnormal frame numbers e _ num when the two are abnormal, and judging that the current image has a shielding fault when the e _ num is more than 50.
Preferably, the method further comprises the steps of:
and (3) brightness detection:
calculating a mean bias value Davg of the current image from the now _ Pavg and the now _ Gavg of the current image obtained in step S2;
calculating the average deviation value of the average deviation value
If MD < | DavgIf yes, the image is abnormal, the value of Davg is further judged, and if Davg is not normal, the value of Davg is judged>0, judging that the image is bright; if Davg<0, the image slice is judged to be dark.
Preferably, the method further comprises the steps of:
color cast detection:
obtaining the value of the current image in the LAB domain through a BGR2LAB function according to the step S2, introducing an equivalent circle with (da, db) as the center on the a-b chromaticity plane, and enabling the average chromaticity D of the image to be equal to the distance from the center of the equivalent circle to the origin of the central axis of the chromaticity plane:
the center distance C of the chromaticity is obtained,
the degree of color cast K is calculated,
if K >1.5, the image is judged to be color cast.
Preferably, the method further comprises the steps of:
and (3) detecting the freezing of the picture:
according to the reading and calculation of the continuously read video stream in step S2, the difference between the grayscale images frame and now _ img of the two frames of images before and after are continuously compared, and the image difference value diff calculation formula is as follows:
diff＝∑f(|framexy-now_framexy|) (10)；
when the difference value diff of the pictures is smaller than the set threshold value, the two pictures are considered to be the same, cast _ num is accumulated, and when the cast _ num is larger than 50, the picture of the picture is judged to be frozen; in the case _ num accumulation process, when the picture difference value diff is greater than the set threshold value, case _ num is cleared.
Preferably, the method further comprises the steps of:
picture dithering \ camera shifting:
according to the reading and calculation of the continuously read video stream in the step S2, the feature points of the gray map frame and the now _ img of the two frames of images before and after are continuously compared to obtain the data sets, so as to obtain Kp1 and Kp2, and whether the picture shake/camera shift occurs is judged by calculating the feature2D physical distances of Kp1 and Kp 2.
Preferably, the method further comprises the steps of:
and (3) stripe noise detection: and (4) extracting the chrominance components of the color image according to the step (S2), solving a DFT spectrogram of the chrominance components, calculating the number of abnormal bright points of the spectrogram, and judging that the stripe detection occurs if the number of the abnormal bright points is greater than a set threshold value.
Preferably, the method further comprises the steps of:
snowflake noise/interference detection:
and after the picture freezing detection is carried out, setting a noise threshold value when the snowflake noise occurs as N, and preliminarily judging that the snowflake noise exists in the image if diff is larger than N.
Preferably, after the snowflake noise/interference detection is carried out to determine that the snowflake noise exists, filtering is carried out by a Gaussian filter to obtain an image G _ now _ img; the signal-to-noise ratio SNR of the image is calculated by G _ now _ img as follows:
setting a signal-to-noise ratio threshold T, and judging that snowflake interference exists if the SNR is smaller than the threshold T; and if the SNR is more than or equal to T, judging that no snowflake interference exists.
The video operation and maintenance management system and the method provided by the invention can effectively realize the inspection of a large number of cameras and detect the quality of the returned video in first time, thereby greatly reducing the workload of monitoring operation and maintenance personnel and improving the efficiency. When the system finds a fault, the work order is automatically generated at the first time and is actively notified to maintenance personnel, so that the time from manually finding a problem to filling the work order to notify the maintenance personnel is saved. The data visualization means provided by the system can clearly and intuitively check the operation condition of the whole video operation and maintenance management system. The system is compatible with various monitoring devices used by the current monitoring network, and various novel devices are compatibly updated by updating the DLL file of the system, so that the multi-platform management problem caused by different camera devices is solved.
Variations and modifications to the above-described embodiments may occur to those skilled in the art, which fall within the scope and spirit of the above description. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and some modifications and variations of the present invention should fall within the scope of the claims of the present invention. Furthermore, although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (10)
1. The utility model provides a video operation and maintenance management system, its characterized in that includes equipment management module, the visual module of GIS, information state monitoring module, trouble salvagees work order module and management module on duty, wherein:
the device management module is used for registering and making a book of all online management video operation and maintenance devices and storing management information of the video operation and maintenance devices;
the GIS visualization module checks the current positions of all the video operation and maintenance equipment and the basic information of the video operation and maintenance equipment through a GIS map interface;
the information state monitoring module comprises a video image inspection unit, a coding and decoding equipment inspection unit, a video quality diagnosis unit, a real-time video on demand unit and a communication light path detection unit; the video image inspection unit is used for detecting the running state of the camera and the quality of a video image; the inspection unit of the coding and decoding equipment is used for detecting the running state of the coding equipment; the video quality diagnosis unit is used for providing a fault analysis and fault solution for the detected video image quality fault; the real-time video-on-demand unit is used for supporting real-time image browsing in single-picture and multi-picture modes; the communication light path detection unit is used for monitoring the optical fiber transceiver and the EPON equipment;
the fault emergency repair work order module is used for dispatching orders when the video operation and maintenance equipment breaks down, and dispatching orders to corresponding front-end maintenance personnel according to the information of the on-duty management module.
2. The video operation and maintenance management system according to claim 1, wherein the video quality diagnosis unit comprises a video acquisition terminal, a video optical transceiver, a rack-mounted optical transceiver, a video server, a convergence switch, a diagnosis host, a CS supervision client, a tv screen server, an intranet switch, an operation and maintenance host, and an operation and maintenance client;
the video acquisition terminal, the video optical transceiver, the rack-mounted optical transceiver, the video server and the convergence switch are sequentially connected through optical fibers; the aggregation switch is connected with the intranet switch through a video private network; the internal network switch is respectively connected with the diagnosis host through an internal network, and the CS supervision client is connected with the television screen server; the intranet switch is connected with the operation and maintenance switch through a network gate; the operation and maintenance switch is connected with the operation and maintenance host and the operation and maintenance client through optical fibers.
3. The video operation and maintenance management system according to claim 1, wherein the management information of the video operation and maintenance equipment comprises equipment classification management, equipment batch management and equipment detail information management.
4. The video operation and maintenance management system according to claim 1, wherein the basic information of the video operation and maintenance equipment comprises basic information of an operation and maintenance equipment user, call state information and alarm information.
5. The video operation and maintenance management system of claim 1, wherein the on-duty management module is configured to assist an on-duty person to perform on-duty person registration, daily work content reminder, and related on-duty person display.
6. The video operation and maintenance management system according to claim 1, wherein the failure emergency repair work order module sends the order to the front-end maintenance personnel in four manners of short message, mail, mobile phone APP and WeChat.
7. The video operation and maintenance management system according to claim 1, further comprising an emergency repair scheduling module, wherein the emergency repair scheduling module completes calls with various communication terminals through a unified attendant desk, and realizes unified scheduling of emergency handling and rapid transmission of decision information for "push-to-talk" to various different terminals.
8. The video operation and maintenance management system according to claim 1, further comprising a knowledge base module for storing basic concepts, theoretical knowledge, and fact data related to the field, and the obtained rules, common sense knowledge, heuristic rules, and experience trainings, and further comprising related laws and regulations, professional knowledge and technical specifications for dealing with various emergencies, and expert experience.
9. The video operation and maintenance management system according to claim 1, further comprising an operation and maintenance assessment module, wherein the operation and maintenance assessment module is used for measuring and counting the work of the operation and maintenance personnel and assessing the operation and maintenance personnel in combination with the post capability.
10. A video operation and maintenance management method, for use in conjunction with a video operation and maintenance management system as claimed in any one of claims 1 to 9, the method comprising the steps of:
step 1: performing online registration and making registration on all operation and maintenance equipment through the equipment management module;
step 2: checking the positions of all the video operation and maintenance equipment and the basic information of the video operation and maintenance equipment through a GIS map interface of a GIS visualization module;
and step 3: the video image inspection module is used for detecting the communication state, signal loss, picture color cast, definition fault, brightness fault, stripe interference, snowflake interference, scene change, picture freezing, holder control failure and artificial shielding fault of the camera;
and 4, step 4: if the fault information is detected, firstly, acquiring the equipment position information of the fault information through an equipment management module, then matching the state of the fault information with the state of the fault case information stored in a knowledge base module, and analyzing the fault type;
and 5: after the fault type is analyzed, the dispatch is carried out through the cooperation of the emergency repair scheduling module, the duty management module and the fault emergency repair work order module;
step 6: and the front-end maintenance personnel timely handle the fault condition after receiving the order dispatching notification, and the database automatically records the order dispatching, order receiving and fault recovery time.
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Application publication date: 20201009 |