CN112702877B - Cabinet interior remote monitoring and diagnosis method and system, cabinet device and storage medium - Google Patents
Cabinet interior remote monitoring and diagnosis method and system, cabinet device and storage medium Download PDFInfo
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- CN112702877B CN112702877B CN202011492210.9A CN202011492210A CN112702877B CN 112702877 B CN112702877 B CN 112702877B CN 202011492210 A CN202011492210 A CN 202011492210A CN 112702877 B CN112702877 B CN 112702877B
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/14—Mounting supporting structure in casing or on frame or rack
- H05K7/1485—Servers; Data center rooms, e.g. 19-inch computer racks
- H05K7/1488—Cabinets therefor, e.g. chassis or racks or mechanical interfaces between blades and support structures
- H05K7/1494—Cabinets therefor, e.g. chassis or racks or mechanical interfaces between blades and support structures having hardware for monitoring blades, e.g. keyboards, displays
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- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/14—Mounting supporting structure in casing or on frame or rack
- H05K7/1485—Servers; Data center rooms, e.g. 19-inch computer racks
- H05K7/1498—Resource management, Optimisation arrangements, e.g. configuration, identification, tracking, physical location
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Abstract
The invention discloses a cabinet interior remote monitoring and diagnosing method and system, a cabinet device and a storage medium, wherein the cabinet interior remote monitoring and diagnosing method comprises the following steps: collecting multi-source data in the cabinet, and dividing the multi-source data into a plurality of data groups according to unit time; respectively preprocessing the data groups and generating corresponding standard data groups, and then establishing a standard data set; selecting a standard data group in the standard data set to synthesize a cabinet monitoring graph, and synthesizing the cabinet monitoring graphs into a cabinet dynamic display graph at different time intervals to dynamically display a cabinet visual model; and the cabinet dynamic display diagram is subjected to authority fragmentation according to functions so as to carry out remote fault diagnosis on different functions, solve the problem that the targeted diagnosis on the internal faults of the cabinet cannot be carried out remotely in the prior art, and realize the remote diagnosis on the specific faults of the single equipment.
Description
Technical Field
The invention relates to the technical field of remote processing, in particular to a method and a system for remote monitoring and diagnosis in a cabinet, a cabinet device and a storage medium.
Background
The development of the digital technology and the digital transformation in various fields accelerate the process, a data processing center meeting the requirements of large-scale storage and centralized storage of data continuously emerges in the process of digital transformation, the monitoring of the current data processing center is mainly concentrated on power and environmental equipment, such as subsystems of power distribution, uninterrupted power supply, air conditioner, fire protection, monitoring, anti-theft alarm and the like, measures such as 24-hour special person duty, regular patrol of the environmental equipment and the like are taken, and the effective work of the data processing center is ensured.
However, the core component in the data processing center is a specific service application device, these devices are usually placed in a cabinet and exist in a standard cabinet form, and have the characteristics of multiple services and multiple manufacturers, the supervision inside the specific cabinet tends to be diversified, different services and different manufacturer devices all need specific professionals to maintain, when a specific problem occurs, a manufacturer person goes to the data processing center to solve the problem, sometimes, because a very small problem needs the manufacturer person to go to the site to process, the management efficiency and the management safety of the data processing center are affected, and the maintenance cost is greatly increased. And when field personnel operate the equipment in the cabinet, errors may occur in operation, and multi-expert consultation cannot be performed on faults. Or safety problems for operators caused by strong electric equipment in a cabinet in an electric power system.
Therefore, with the continuous expansion of the scale of the data processing center, it is crucial to design a method and a system for remote monitoring and diagnosis inside the equipment cabinet.
Disclosure of Invention
The invention mainly aims to provide a method and a system for remotely monitoring and diagnosing the inside of a cabinet, a cabinet device and a storage medium, and aims to solve the problem that the targeted diagnosis of the internal fault of the cabinet cannot be remotely carried out in the prior art.
In order to achieve the above object, the present invention provides a method for remote monitoring and diagnosing inside a cabinet, in an embodiment, the method for remote monitoring and diagnosing inside a cabinet includes the following steps:
collecting multi-source data in the cabinet, and dividing the multi-source data into a plurality of data groups according to unit time;
respectively preprocessing the data groups and generating corresponding standard data groups, and then establishing a standard data set;
selecting a standard data group in the standard data set to synthesize a cabinet monitoring graph, and synthesizing the cabinet monitoring graphs into a cabinet dynamic display graph at different time intervals to dynamically display a cabinet visual model;
and carrying out authority segmentation on the cabinet dynamic display diagram according to functions so as to carry out remote fault diagnosis on different functions.
In one embodiment, the multi-source data includes at least: the internal dynamic images of the cabinet, the internal images of the cabinet and the internal voiceprint data of the cabinet.
In an embodiment, after the preprocessing is performed on the data sets respectively and corresponding standard data sets are generated, establishing a standard data set includes:
preprocessing multi-source data in each data group to generate a standard data group with fixed position sequencing;
and establishing a standard data set by the standard data group according to the time sequence.
In an embodiment, the selecting a standard data set in the standard data set to synthesize a cabinet monitoring graph, and synthesizing the cabinet monitoring graphs into a cabinet dynamic display graph at different time intervals to perform dynamic display of a cabinet visual model includes:
respectively selecting at least one standard data set in the standard data set to synthesize a corresponding cabinet monitoring graph;
synthesizing the cabinet monitoring graphs in different time periods into a cabinet dynamic display graph;
and dynamically displaying the cabinet visual model according to the time sequence by using the cabinet monitoring graph in the cabinet dynamic display graph.
In one embodiment, the method further comprises: the selecting at least one standard data set in the standard data sets respectively to synthesize a corresponding cabinet monitoring graph includes: and respectively selecting two standard data sets adjacent in time or position in the standard data set to synthesize a corresponding cabinet monitoring graph.
In one embodiment, the standard data set is used for forming a local image inside the cabinet; the selecting two standard data sets with adjacent time or positions in the standard data set respectively to synthesize the corresponding cabinet monitoring graph comprises the following steps:
respectively extracting the characteristics of two local images adjacent in time or position to obtain corresponding characteristic points;
carrying out similarity measurement on the characteristic points to obtain matched characteristic point pairs;
obtaining a space coordinate transformation parameter of the local image according to the characteristic point pair;
and performing image registration by adopting the space coordinate transformation parameters to synthesize a cabinet monitoring graph.
In order to achieve the above object, the present invention further provides a system for remotely monitoring and diagnosing inside a cabinet, the system comprising:
the multi-source data acquisition module: the data acquisition system is used for acquiring multi-source data in the cabinet and dividing the multi-source data into a plurality of data groups according to unit time;
the multi-source data processing module: the data processing device is used for respectively preprocessing the data groups and generating corresponding standard data groups, and then establishing a standard data set;
a cabinet monitoring graph synthesis module: the standard data set is used for selecting the standard data set in the standard data set to synthesize a cabinet monitoring graph;
the cabinet visual model dynamic display module comprises: the equipment cabinet dynamic display method comprises the steps of synthesizing cabinet monitoring graphs in different periods into cabinet dynamic display graphs to dynamically display a cabinet visual model;
a remote fault diagnosis module: and the equipment cabinet dynamic display graph is used for carrying out authority segmentation according to functions so as to carry out remote fault diagnosis on different functions.
In one embodiment, the cabinet monitoring graph synthesis module is further configured to:
and respectively selecting at least one standard data group in the standard data set to synthesize a corresponding cabinet monitoring graph.
In order to achieve the above object, the present invention further provides a cabinet apparatus, which includes a memory, a processor, and a cabinet internal remote monitoring and diagnosing program stored in the memory and executable on the processor, and when the cabinet internal remote monitoring and diagnosing program is executed by the processor, the cabinet internal remote monitoring and diagnosing program implements the steps of the cabinet internal remote monitoring and diagnosing method as described above.
In order to achieve the above object, the present invention further provides a storage medium, where the storage medium stores a cabinet interior remote monitoring and diagnosing program, and the cabinet interior remote monitoring and diagnosing program, when executed by a processor, implements the steps of the cabinet interior remote monitoring and diagnosing method described above.
The method and the system for remotely monitoring and diagnosing the inside of the cabinet, the cabinet device and the storage medium provided by the invention at least have the following technical effects:
the method comprises the steps that multi-source data in the cabinet are collected, and the multi-source data are divided into a plurality of data groups according to time units; respectively preprocessing the data groups to form standard data groups; the technical scheme that local images corresponding to the standard data set are selected to synthesize a complete cabinet dynamic display image is adopted, and the images are synthesized in a time-sharing and multipoint manner, so that the accuracy of local information of the cabinet can be guaranteed, and the overall condition of the interior of the cabinet can be globally displayed; and the cabinet dynamic display diagram is subjected to authority fragmentation according to functions so as to carry out remote fault diagnosis on different functions, solve the problem that the targeted diagnosis on the internal faults of the cabinet cannot be carried out remotely in the prior art, and realize the remote diagnosis on the specific faults of the single equipment.
Drawings
Fig. 1 is a schematic structural diagram of a cabinet apparatus according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for remote monitoring and diagnosing inside a cabinet according to a first embodiment of the present invention;
fig. 3 is a detailed flowchart of step S120 of the method for remote monitoring and diagnosing inside a cabinet according to the first embodiment of the present invention;
fig. 4 is a detailed flowchart of the step S130 of the method for remote monitoring and diagnosing inside a cabinet according to the first embodiment of the present invention;
fig. 5 is a detailed flowchart of step S131 of the method for remote monitoring and diagnosing inside a cabinet according to the first embodiment of the present invention;
fig. 6 is a detailed flowchart of step S1311 of the method for remote monitoring and diagnosing inside a cabinet according to the first embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a remote monitoring and diagnosing system inside a cabinet according to the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to solve the problem that the internal fault of the cabinet cannot be diagnosed in a targeted manner remotely in the prior art, the internal multi-source data of the cabinet are collected and divided into a plurality of data groups according to time units; respectively preprocessing the data groups to form standard data groups; selecting local images corresponding to the standard data set to synthesize a complete cabinet dynamic display diagram; and the technical scheme of dividing the function authority of the cabinet dynamic display diagram and performing remote fault diagnosis aiming at different functions realizes the remote diagnosis of specific faults of single equipment.
For a better understanding of the above technical solutions, exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Those skilled in the art will appreciate that the configuration of the enclosure shown in FIG. 1 is not intended to be limiting, and that the enclosure may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
It will be appreciated that memory 1200 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 1200 of the systems and methods described in connection with the embodiments of the invention is intended to comprise, without being limited to, these and any other suitable types of memory.
This application rack device structure still contains: the system comprises a track module, a wireless charging module, a motion pressure type control module, a self-adjusting carrying module, a wireless transmission terminal, a wireless transmission access point and the like, and a complete cabinet monitoring product is realized through the modules.
The track module is a passive device, is positioned on a side plate of the cabinet and is used as a fixing device of the self-adjusting carrying module, and the self-adjusting carrying module can move forwards and backwards along the track direction. The track module can be arranged on the inner side of each panel of the cabinet according to actual requirements, can be arranged linearly, and can also be arranged in a bending mode according to requirements, and the bending degree meets the motion requirements of the self-adjusting carrying module.
The wireless charging module: the wireless charging module is mainly used for being fixed inside the cabinet, and other modules of the cabinet, such as the motion pressure type control module, the self-adjusting carrying module, the wireless transmission terminal and the like, are charged in a wireless mode through connection with a power supply inside the cabinet, so that long-term automatic work of the modules is guaranteed.
The motion pressure type control module: when mainly being used for the remote monitoring diagnosis, need carry out simple operations such as panel button, the action is pressed to the formula controller of motion pressure, carries the formula control module of motion pressure to corresponding position through self-interacting motion module, the formula control device of motion pressure can be flexible needle type, can also adopt the pen type to press, realizes carrying out mechanical operation to the button on the panel.
Self-adjusting carrier modules: the self-adjusting carrying module comprises a battery and a wireless charging terminal, stays at a preset fixed position, is charged through the wireless charging module, and supplies power to the modules borne by the self-adjusting carrying module, such as the motion pressure type control module, the wireless transmission module and the like.
The wireless transmission terminal: the wireless transmission module mainly adopts a large-capacity transmission mode such as 5G, WiFi6 to realize transmission of high-definition video streams, pictures and the like, taking single-point video stream 4Mbps data transmission as an example, the transmission rate of 5G, WiFi6 theoretically can reach 10Gbps, theoretically can bear about 2000 channels of data access, and the large-capacity transmission can meet the data transmission requirements of each cabinet of a large-scale data processing center by combining the transmission asynchronism of each terminal; the frequency band of more than 5GHz is adopted in the transmission carrier frequency, mainly because the current trompil of many rack panels is about 5-6mm, can guarantee radiating, effectively reduces the stray leakage of low frequency simultaneously.
The wireless transmission access point: the data access point is used for bearing the collection of large data volume, the 5G, WiFi6 type selection is adopted to mainly consider the access of the large data volume, and meanwhile, the number of the access points of the large-scale data processing center is reduced, and the operation cost is reduced.
In an embodiment of the present application, the processor 1100 may be configured to invoke an internal cabinet remote monitoring diagnostic program stored in the memory 1200 and perform the following operations:
collecting multi-source data in the cabinet, and dividing the multi-source data into a plurality of data groups according to unit time;
respectively preprocessing the data groups and generating corresponding standard data groups, and then establishing a standard data set;
selecting a standard data group in the standard data set to synthesize a cabinet monitoring graph, and synthesizing the cabinet monitoring graphs into a cabinet dynamic display graph at different time intervals to dynamically display a cabinet visual model;
and carrying out authority segmentation on the cabinet dynamic display diagram according to functions so as to carry out remote fault diagnosis on different functions.
In an embodiment of the present application, the processor 1100 may be configured to invoke an internal cabinet remote monitoring diagnostic program stored in the memory 1200 and perform the following operations:
preprocessing multi-source data in each data group to generate a standard data group with fixed position sequencing;
and establishing a standard data set by the standard data group according to the time sequence.
In an embodiment of the present application, the processor 1100 may be configured to invoke an internal cabinet remote monitoring diagnostic program stored in the memory 1200 and perform the following operations:
respectively selecting at least one standard data set in the standard data set to synthesize a corresponding cabinet monitoring graph;
synthesizing the cabinet monitoring graphs in different time periods into a cabinet dynamic display graph;
and dynamically displaying the cabinet visual model according to the time sequence by using the cabinet monitoring graph in the cabinet dynamic display graph.
In an embodiment of the present application, the processor 1100 may be configured to invoke an internal cabinet remote monitoring diagnostic program stored in the memory 1200 and perform the following operations:
and respectively selecting two standard data sets adjacent in time or position in the standard data set to synthesize a corresponding cabinet monitoring graph.
In an embodiment of the present application, the processor 1100 may be configured to invoke an internal cabinet remote monitoring diagnostic program stored in the memory 1200 and perform the following operations:
respectively extracting the characteristics of two local images adjacent in time or position to obtain corresponding characteristic points;
carrying out similarity measurement on the characteristic points to obtain matched characteristic point pairs;
obtaining a space coordinate transformation parameter of the local image according to the characteristic point pair;
and performing image registration by adopting the space coordinate transformation parameters to synthesize a cabinet monitoring graph.
Since the cabinet device provided in the embodiment of the present application is a cabinet device used for implementing the method in the embodiment of the present application, based on the method described in the embodiment of the present application, a person skilled in the art can understand the specific structure and the deformation of the cabinet device, and thus details are not described herein. All the cabinet devices adopted by the method of the embodiment of the present application belong to the protection scope of the present application. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
For a software implementation, the techniques described in this disclosure may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described in this disclosure. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Based on the above structure, an embodiment of the present invention is proposed.
Referring to fig. 2, fig. 2 is a schematic flow chart of a cabinet interior remote monitoring and diagnosing method according to a first embodiment of the present invention, including the following steps:
and step S110, collecting multi-source data in the cabinet, and dividing the multi-source data into a plurality of data groups according to unit time.
In this embodiment, the cabinet described in this application includes at least one or more cabinets, where the multi-source data is data inside the cabinet, and the multi-source data includes dynamic images inside the cabinet, such as high-definition videos reaching 1080P or more; cabinet interior images, such as cabinet interior high definition pictures, high definition infrared pictures; voiceprint data inside the cabinet, such as ambient sound inside a high fidelity cabinet; the collected data can also be signals of electromagnetic fields in the cabinet, and the data are non-contact signals in the cabinet, because the multi-source data are distributed at each corner in the cabinet, the multi-source data are collected by the self-adjusting carrying module in the cabinet, and the collected non-contact signals, namely non-electric signals, are converted into electric signals which can be identified by the processor.
In this embodiment, within a set time, the self-adjusting carrying module inside the cabinet carries the multi-source data acquisition model, and the multi-source data acquisition model advances along the track on the side of the cabinet to form a sampling period from front to back or from back to front, for example, the multi-source data acquisition module can acquire multi-source data in the advancing process, data acquisition can also be performed in the continuous movement process, data acquisition can also be performed statically according to a preset position, a plurality of nodes can be arranged on the track, and a rule is formulated to acquire multi-source data of a certain node or a plurality of nodes;
in this embodiment, after the multi-source data in the cabinet is collected, the collected data is divided into a plurality of data sets according to unit time, for example, the multi-source data in the cabinet within a specified collection time T is set, and the collected multi-source data is intermittently subjected to unit time T according to T0，t1，t2，...，tnDividing, namely taking multi-source data in each unit time as a data group, wherein T is T/N, N is a preset value, N can be preset according to actual development requirements, when the value of N is smaller, the more the multi-source data in the divided unit time is, the longer the corresponding unit time is, the larger the formed data group is, and the smaller the number of the finally synthesized cabinet monitoring graphs is; when the value of N is larger, the divided multi-source data in unit time is less, the corresponding unit time is shorter, the formed data group is smaller, and finally the synthesized cabinet monitorThe greater the number of control maps.
And step S120, respectively preprocessing the data groups and establishing a standard data set after generating corresponding standard data groups.
In this embodiment, the multi-source data in the divided multiple data groups are respectively preprocessed to generate standard data groups with fixed format sorting, and then the generated standard data groups are respectively transmitted to the data processing center in real time through the high-speed wireless communication module, such as 5G/WiFi6, and the data processing center obtains multiple sets of standard data groups T within the sampling period T0，t1，t2，...，tnAre combined to establish a T0，T1，T2，...，TnA standard data set.
Referring to fig. 3, fig. 3 is a detailed flowchart of step S120 of the cabinet interior remote monitoring and diagnosing method according to the first embodiment of the present invention, which includes the following steps:
step S121, preprocessing the multi-source data in each data group to generate a standard data group with fixed position sequencing.
In this embodiment, the multi-source data in each divided data group is respectively preprocessed, for example, voiceprint data in the cabinet is generated as a spectrogram, a high-definition infrared image in the cabinet is preprocessed, and video stream data acquired in the cabinet is subjected to image extraction; and (4) forming a group of standard data groups with fixed position sequencing, such as video streams, pictures, infrared rays, voiceprints and the like, by the preprocessed multi-source data.
And step S122, establishing a standard data set by the standard data group according to the time sequence.
In this embodiment, because the transmission speed is too slow due to a large data volume of the preprocessed standard data group, and meanwhile, the problem of shielding of wireless signals inside the cabinet exists, a large amount of information inside each cabinet of the data processing center can be effectively transmitted to the background by adopting a large-bandwidth transmission mode such as 5G, WiFi6, so that the monitoring precision is improved, the digital monitoring degree inside the cabinet can be effectively improved, and the bandwidth requirement that the internal model of the traditional cabinet needs wired transmission is replaced; and after the standard data sets are sent to a data processing center in a large-bandwidth transmission mode such as 5G, WiFi6, combining a plurality of groups of standard data sets, and establishing a standard data set by the standard data sets according to a time sequence.
The technical scheme includes that multi-source data in each data group are preprocessed to generate standard data groups with fixed position sequencing, the standard data groups are sent to a data processing center in a large-bandwidth transmission mode of 5G, WiFi6 and the like, the standard data groups are combined, and a standard data set is established according to time sequence, so that division and transmission of the multi-source data are achieved, and standard data conditions are provided for synthesis of a cabinet monitoring graph.
Step S130, selecting the standard data group in the standard data set to synthesize a cabinet monitoring graph, and synthesizing the cabinet monitoring graphs into a cabinet dynamic display graph at different time intervals to dynamically display the cabinet visual model.
In this embodiment, at least one standard data group in the standard data set is respectively selected to synthesize a corresponding cabinet monitoring graph, the cabinet monitoring graphs in different time periods are synthesized into a cabinet dynamic display graph, and the cabinet monitoring graphs in the cabinet dynamic display graph are dynamically displayed according to a time sequence.
Referring to fig. 4, fig. 4 is a detailed flowchart of step S130 of the cabinet interior remote monitoring and diagnosing method according to the first embodiment of the present invention, which includes the following steps:
step S131, at least one standard data group in the standard data set is selected respectively to synthesize a corresponding cabinet monitoring graph.
In this embodiment, the process of forming the cabinet monitoring graph involves an image synthesis process, where the image synthesis process is to extract a required object region from all input images, and then adjust the color, brightness, noise, and the like of the region by using a related image processing technique, so that the region can be seamlessly spliced into a new image background; in the application, one standard data group in the standard data set can be selected to form a cabinet monitoring graph, and when one standard data group is selected to form the monitoring graph, image synthesis does not need to be performed by combining with other standard data groups; two standard data sets which are adjacent in time or position in the standard data set can be selected respectively to synthesize a corresponding cabinet monitoring graph, and the image synthesis needs to be carried out by combining with other standard data sets.
Referring to fig. 5, fig. 5 is a detailed flowchart of step S131 of the cabinet interior remote monitoring and diagnosing method according to the first embodiment of the present invention, including:
step 1311, two standard data sets adjacent in time or position in the standard data set are respectively selected to synthesize a corresponding cabinet monitoring graph.
In this embodiment, the standard data set is used to form a local image inside the cabinet, local video streams and images of the cabinet within unit time are collected according to the multi-source data collection module, and two local video streams or local images of adjacent time points and adjacent position information are synthesized to form a corresponding complete cabinet monitoring graph, for example, T is used1，T2，...，TnThe local images contained in one or more groups of standard data groups are combined to synthesize a corresponding cabinet monitoring graph.
In this embodiment, two local video streams or local images of adjacent time points and adjacent position information are synthesized into a complete cabinet internal overall video stream or image, and the main process is as follows: extracting features, deforming images, fusing and mixing the images; the feature extraction is to detect feature points in all input images to perform image registration, and the image registration process is as follows: the geometric correspondence between the images is established in order to transform, compare and analyze them in a common reference frame, which can be roughly classified into the following categories: algorithms that directly use pixel values of an image, e.g., correlation methods; algorithms for frequency domain processing, such as FFT-based methods; algorithms for low-level features, typically using edges and corners, e.g., feature-based methods; algorithms for advanced features, typically for overlapping portions of image objects, feature relationships, such as graph theory methods; the specific image registration process is as described in steps S13111 to S13114, and will not be described here.
Image deformation: image deformation refers to re-projecting the registered one of the images, placing the image on a larger canvas.
Image fusion and mixing: image fusion is the changing of the gray levels of images near boundaries, the removal of these gaps, and the creation of a blended image to achieve a smooth transition between images. Hybrid mode is used to merge two layers together.
In this embodiment, the most important work before the synthesis of the cabinet monitoring graph is image registration, and the image registration process is to compound other images on one image by using a certain algorithm on the basis of one image, and the purpose of the image registration is to make the images consistent in time and space, and in the multi-source data acquisition process, errors exist in the acquired local images possibly caused by different visual fields of cameras, different focal lengths of lenses, difference of frame numbers of images in unit time, movement of the cameras and the like, so that the image registration work is completed first, then the synthesis of the cabinet monitoring graph is performed, and the errors can be reduced; the image registration can be summarized into relative registration and absolute registration: relative registration refers to selecting one image of multiple images as a reference image and registering other related images with the reference image, and the coordinate system is arbitrary. The absolute registration is to define a control grid first, and register all images with respect to the grid, that is, complete the geometric correction of each component image to realize the unification of the coordinate system, and the relative registration is mainly adopted in the present application.
Referring to fig. 6, fig. 6 is a detailed flowchart of step S1311 of the cabinet interior remote monitoring and diagnosing method according to the first embodiment of the present invention, which includes the following steps:
s13111, respectively performing feature extraction on two local images that are adjacent in time or position to obtain corresponding feature points.
In this embodiment, the feature point is a representative part in the local image, and the feature point may be an edge, a contour, a curve intersection, or a high curvature point of the local image, and a commonly used feature extraction algorithm includes: the method comprises an edge point extraction method, an angular point extraction method and the like, and the feature extraction algorithms are adopted to extract feature points corresponding to two local images adjacent in time or position.
S13112, performing similarity measurement on the feature points to obtain matched feature point pairs.
In this embodiment, the similarity measure is used to comprehensively evaluate a measure of closeness between two feature points to establish a geometric correspondence between local images, the closer two feature points are, the larger their similarity measure is, and the farther two feature points are, the smaller their similarity measure is, and by performing similarity measure on the feature points, a feature point pair with close feature points, i.e. a feature point pair with a large similarity measure, is obtained.
S13113, obtaining space coordinate transformation parameters of the local image according to the feature point pairs.
In this embodiment, similarity measurement is performed on the feature points to obtain matched feature point pairs, a geometric correspondence relationship of the local images is established, and an appropriate polynomial is selected to fit translation, rotation, and affine transformation between the two images in a common spatial coordinate system, so as to obtain spatial coordinate transformation parameters of the local images.
S13114, performing image registration by using the space coordinate transformation parameters to synthesize a cabinet monitoring graph.
In this embodiment, the spatial coordinate variation parameter is a configuration control point of the local image, image registration can be achieved according to the configuration control point, and the determination rule of the number of the configuration control points is as follows: an nth-order polynomial, wherein the configuration control point at least selects (n +1) × (n + 2)/2; for example, a first order polynomial, and at least 3 control points are configured; and selecting at least 6 second-order polynomials from the configuration control points, selecting proper polynomials according to actual conditions to determine the number of the configuration control points, namely determining space coordinate change parameters, carrying out image registration through the configuration control points, and fusing local images through deformation and image fusion to synthesize the cabinet monitoring graph.
The method comprises the steps of extracting the characteristics of two local images adjacent in time or position respectively to obtain corresponding characteristic points, measuring the similarity of the characteristic points to obtain matched characteristic point pairs, obtaining space coordinate transformation parameters of the local images according to the characteristic point pairs, and carrying out image registration by adopting the space coordinate transformation parameters, so that the images meet the consistency in time and space, and the synthesis error of the cabinet monitoring image is reduced.
Step S132, synthesizing the cabinet monitoring diagrams in different time periods into a cabinet dynamic display diagram.
In the embodiment, the synthesized cabinet monitoring graph is completely displayed, so that the real presentation of a controlled scene is realized, the digital transformation of monitoring is realized, a B/S display mode is adopted, and the requirements of different control terminals are met by adapting to various browsers; meanwhile, aiming at the displayed digital model of the real scene, the operation of the real equipment can be realized through the operation of the digital model of the browser end.
Step S133, dynamically displaying the cabinet visual model according to a time sequence by the cabinet monitoring diagram in the cabinet dynamic display diagram.
In this embodiment, the cabinet dynamic display diagram is a visual model, and dynamically displays the synthesized cabinet monitoring diagram according to a time sequence, so that the equipment inside the cabinet can be monitored more intuitively.
And step S140, performing authority segmentation on the cabinet dynamic display diagram according to functions so as to perform remote fault diagnosis on different functions.
In this embodiment, different devices in the cabinet of the data processing center may correspond to different functions and different manufacturers, and need to perform remote fault diagnosis in a targeted manner, so that the dynamic display diagram of the cabinet is subjected to permission fragmentation according to a preassigned fragmentation principle, and is provided for different operation and maintenance personnel in a browser display manner, thereby avoiding data security risks caused by too large permission; maintenance personnel can dynamically display the cabinet according to the observed real scene, perform data analysis, fault judgment and the like, and command the motion pressure type control module to perform pressing operation according to the fault analysis condition.
On the premise of not influencing the internal equipment of the existing cabinet, the collected multi-source data is transmitted to the data processing center through high-speed wireless transmission of 5G, WiFi6 and the like by adopting the real-time acquisition of the multi-source data taking video data as main data and adopting a regional time-sharing high-definition rapid acquisition mode; integrally synthesizing the time-sharing high-definition local images by utilizing an existing algorithm of the data processing center to form a high-definition image photo inside the cabinet consisting of time-sharing videos or pictures, and providing the high-definition image photo for a maintainer to use; when the virtual image is synthesized by maintainers of different manufacturers, different service processing is subjected to operation authority segmentation and the image is provided to a remote operation maintainer, so that the problems of management confusion and equipment data safety caused by maintenance of multiple devices and manufacturers are effectively solved, and the risk of the whole system due to remote access is controlled; meanwhile, the push type function modules such as a needle type function module and a pen type function module are utilized, and the remote control pressing equipment is used for operating the buttons in the cabinet according to the judgment and analysis result of remote personnel on the problems.
Based on the same inventive concept, the present invention further provides a system for remote monitoring and diagnosing inside a cabinet, as shown in fig. 7, fig. 7 is a schematic structural diagram of the system for remote monitoring and diagnosing inside a cabinet of the present invention, and the system includes: the system comprises a multi-source data acquisition module 10, a multi-source data processing module 20, a cabinet monitoring graph synthesis module 30, a cabinet visual model dynamic display module 40, a remote fault diagnosis module 50 and the like, wherein the following description is provided for each module:
multi-source data acquisition module 10: the equipment comprises a data acquisition module, a data acquisition module and a data acquisition module, wherein the data acquisition module is used for acquiring multi-source data inside a cabinet, dividing the multi-source data into a plurality of data groups according to time units, acquiring non-contact signals by adopting high-definition videos (above 1080P), high-definition pictures, environmental sounds in a high-fidelity cabinet, high-definition infrared pictures, signals of an electromagnetic field in the cabinet and the like, and converting non-electric signals into electric signals.
Multi-source data processing module 20: the data processing device is used for respectively preprocessing the data groups to form standard data groups, and is mainly used for video stream preprocessing, picture preprocessing, voiceprint signal processing into spectrogram, electromagnetic signal preprocessing and other functions; after the processing is completed, a position-related information data set is formed and comprises video stream, high-definition pictures, infrared pictures, spectrogram pictures, electromagnetic environment information and the like.
Cabinet monitoring graph synthesis module 30: the equipment cabinet dynamic display graph synthesizing method comprises the steps of selecting local images corresponding to a standard data set to synthesize a complete cabinet dynamic display graph; the cabinet monitoring graph synthesizing module 30 is further configured to obtain each standard data group and combine the standard data groups into a standard data set; one or more groups of standard data sets in the standard data sets are combined to be fused into a plurality of cabinet dynamic display diagrams; local video streams and images of the cabinet at a single time point are acquired according to the multi-source data acquisition module 10, and the local video streams and the images of the adjacent time points and the adjacent position information are synthesized to form a complete whole video stream and image in the cabinet.
Cabinet visual model dynamic display module 40: the equipment cabinet dynamic display graph is used for dynamically displaying the equipment cabinet visual model according to the time sequence; the cabinet visual model dynamic display module 40 displays the synthesized cabinet picture completely, realizes the real presentation of the controlled scene and the digital transformation of monitoring, adopts a B/S display mode, is adaptive to various browsers, and meets the requirements of different control terminals; meanwhile, aiming at the displayed digital model of the real scene, the operation of the real equipment can be realized through the operation of the digital model of the browser end.
Remote fault diagnosis module 50: the equipment cabinet dynamic display graph is used for carrying out functional authority fragmentation and remote fault diagnosis aiming at different functions; different devices in the data processing center cabinet may correspond to different functions and different manufacturers, and remote fault diagnosis needs to be performed specifically, the remote fault diagnosis module 50 provides a right for corresponding operation and maintenance personnel in a function splitting manner, so that data security risks caused by an excessive right are avoided.
The method comprises the steps that a multi-source data acquisition module is adopted to acquire multi-source data in a cabinet, and the multi-source data are divided into a plurality of data groups according to time units; the multi-source data processing module respectively preprocesses the data groups and generates corresponding standard data groups, and then a standard data set is established; the cabinet monitoring graph synthesis module selects a standard data group in the standard data set to synthesize a cabinet monitoring graph; the cabinet visual model dynamic display module synthesizes the cabinet monitoring diagrams in different time periods into a cabinet dynamic display diagram for dynamically displaying the cabinet visual model; and the remote fault diagnosis module divides the cabinet dynamic display diagram into authority fragments according to functions and carries out remote fault diagnosis aiming at different functions to form a complete remote diagnosis system for specific faults of single equipment.
Based on the same inventive concept, an embodiment of the present application further provides a storage medium, where the storage medium stores a cabinet internal remote monitoring and diagnosing program, and the cabinet internal remote monitoring and diagnosing program, when executed by a processor, implements the steps of the cabinet internal remote monitoring and diagnosing method described above, and can achieve the same technical effect, and is not described herein again to avoid repetition.
Since the storage medium provided in the embodiments of the present application is a storage medium used for implementing the method in the embodiments of the present application, based on the method described in the embodiments of the present application, a person skilled in the art can understand a specific structure and a modification of the storage medium, and thus details are not described here. Any storage medium used in the methods of the embodiments of the present application is intended to be within the scope of the present application.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A cabinet interior remote monitoring and diagnosis method is characterized by comprising the following steps:
the method comprises the steps of collecting multi-source data in a cabinet, dividing the multi-source data into a plurality of data groups according to unit time, wherein a self-adjusting carrying module arranged in the cabinet bears a multi-source data collecting module to collect the multi-source data; each data group comprises multi-source data collected in corresponding unit time, and the more the divided data groups are, the more the number of synthesized cabinet monitoring images is;
respectively preprocessing the data groups and generating corresponding standard data groups, and then establishing a standard data set;
selecting a standard data group in the standard data set to synthesize a cabinet monitoring graph, and synthesizing the cabinet monitoring graphs into a cabinet dynamic display graph at different time intervals to dynamically display a cabinet visual model;
and carrying out authority segmentation on the cabinet dynamic display diagram according to functions so as to carry out remote fault diagnosis on different functions.
2. The cabinet interior remote monitoring diagnostic method of claim 1, wherein the multi-source data includes at least: the internal dynamic images of the cabinet, the internal images of the cabinet and the internal voiceprint data of the cabinet.
3. The method for remote monitoring and diagnosing inside a cabinet according to claim 2, wherein the step of establishing a standard data set after preprocessing the data sets and generating corresponding standard data sets respectively comprises:
preprocessing multi-source data in each data group to generate a standard data group with fixed position sequencing;
and establishing a standard data set by the standard data group according to the time sequence.
4. The method for remote monitoring and diagnosing inside of a cabinet as claimed in claim 3, wherein the selecting the standard data sets in the standard data set to synthesize the cabinet monitoring graph, and synthesizing the cabinet monitoring graph into the cabinet dynamic display graph for dynamic display of the cabinet visual model comprises:
respectively selecting at least one standard data set in the standard data set to synthesize a corresponding cabinet monitoring graph;
synthesizing the cabinet monitoring graphs in different time periods into a cabinet dynamic display graph;
and dynamically displaying the cabinet visual model according to the time sequence by using the cabinet monitoring graph in the cabinet dynamic display graph.
5. The method according to claim 4, wherein the selecting at least one standard data set from the standard data sets to synthesize a corresponding cabinet monitoring graph comprises: and respectively selecting two standard data sets adjacent in time or position in the standard data set to synthesize a corresponding cabinet monitoring graph.
6. The cabinet interior remote monitoring and diagnosis method according to claim 5, wherein the standard data set is used to form a partial image of the cabinet interior; the selecting two standard data sets with adjacent time or positions in the standard data set respectively to synthesize the corresponding cabinet monitoring graph comprises the following steps:
respectively extracting the characteristics of two local images adjacent in time or position to obtain corresponding characteristic points;
carrying out similarity measurement on the characteristic points to obtain matched characteristic point pairs;
obtaining a space coordinate transformation parameter of the local image according to the characteristic point pair;
and performing image registration by adopting the space coordinate transformation parameters to synthesize a cabinet monitoring graph.
7. A cabinet interior remote monitoring and diagnosis system, the system comprising:
the multi-source data acquisition module: the equipment comprises a self-adjusting carrying module, a data acquisition module, a data processing module and a data processing module, wherein the self-adjusting carrying module is arranged in the equipment cabinet and is used for carrying out multi-source data acquisition in the equipment cabinet and dividing the multi-source data into a plurality of data groups according to unit time; each data group comprises multi-source data collected in corresponding unit time, and the more the divided data groups are, the more the number of synthesized cabinet monitoring images is;
the multi-source data processing module: the data processing device is used for respectively preprocessing the data groups and generating corresponding standard data groups, and then establishing a standard data set;
a cabinet monitoring graph synthesis module: the standard data set is used for selecting the standard data set in the standard data set to synthesize a cabinet monitoring graph;
the cabinet visual model dynamic display module comprises: the equipment cabinet dynamic display method comprises the steps of synthesizing cabinet monitoring graphs in different periods into cabinet dynamic display graphs to dynamically display a cabinet visual model;
a remote fault diagnosis module: and the equipment cabinet dynamic display graph is used for carrying out authority segmentation according to functions so as to carry out remote fault diagnosis on different functions.
8. The cabinet interior remote monitoring diagnostic system of claim 7, wherein the cabinet monitoring graph synthesis module is further configured to:
and respectively selecting at least one standard data group in the standard data set to synthesize a corresponding cabinet monitoring graph.
9. An enclosure apparatus comprising a memory, a processor, and an internal enclosure remote monitoring diagnostic program stored in the memory and executable on the processor, the internal enclosure remote monitoring diagnostic program when executed by the processor implementing the steps of the internal enclosure remote monitoring diagnostic method of any one of claims 1-6.
10. A computer-readable storage medium storing an internal cabinet remote monitoring diagnostic program, which when executed by a processor implements the steps of the internal cabinet remote monitoring diagnostic method according to any one of claims 1 to 6.
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