CN117707883A

CN117707883A - Method and system for cloud platform and on-cloud business operation monitoring visualization

Info

Publication number: CN117707883A
Application number: CN202311606565.XA
Authority: CN
Inventors: 李盛阳; 刘云飞; 杜晨
Original assignee: Technology and Engineering Center for Space Utilization of CAS
Current assignee: Technology and Engineering Center for Space Utilization of CAS
Priority date: 2023-11-28
Filing date: 2023-11-28
Publication date: 2024-03-15

Abstract

The invention provides a method and a system for cloud platform and on-cloud business operation monitoring visualization. The method comprises the steps of obtaining target data information, wherein the target data information comprises first data information associated with at least one hardware device included in a cloud platform, second data information comprising interaction information for each service unit to interact with the cloud platform and third data information associated with each service on the cloud. The cloud platform can monitor the cloud platform itself and cloud services running on the cloud platform based on the first data information, the second data information and the third data information. In addition, under the condition that the target instruction input by the user is detected, an interface corresponding to the target data information can be displayed based on the target data information, so that the operation conditions of the cloud platform and the cloud service are intuitively displayed for the user, and the monitoring capability and the management efficiency of the cloud platform and the cloud service are improved.

Description

Method and system for cloud platform and on-cloud business operation monitoring visualization

Technical Field

The invention relates to the technical field of monitoring and visualization of cloud platform data, in particular to a method and a system for monitoring and visualizing cloud platform and business operation on the cloud.

Background

The cloud platform is a systematic platform for providing shared computing storage resources, and each service unit can call the computing storage resources of the cloud platform based on an on-cloud service system (short for on-cloud service) deployed on the cloud platform. The cloud platform provides shared computing storage resources for each service unit, so that the deployment scale of each service unit is simplified, and the operation efficiency and the safety of the service on the cloud are improved.

However, there are currently deficiencies in monitoring cloud platforms and services on the cloud. For example, the cloud platform includes a plurality of hardware devices which are isolated from each other, so that the operation and maintenance cooperativity among the hardware devices is poor, the transparency is low, and the security early warning mechanism of the cloud platform for the hardware devices is not uniform and the linkage early warning cannot be realized. As another example, cloud platforms typically rely on their own anomaly monitoring mechanisms and support of third party detection software for monitoring on-cloud traffic, i.e., cloud platforms lack their own ability to monitor on-cloud traffic. Therefore, how to improve the monitoring capability of the cloud platform and the business on the cloud is a problem to be solved.

Disclosure of Invention

The technical scheme for solving the technical problems is as follows:

in a first aspect, the present invention provides a method for cloud platform and on-cloud service operation monitoring visualization, which can construct a spatial scene model corresponding to a space where a cloud platform is located based on spatial scene data corresponding to the cloud platform. The cloud platform comprises at least one hardware device, and the space scene model is used for representing the position information of the at least one hardware device. Target data information may also be obtained, the target data information including first data information, second data information, and third data information. And then, carrying out statistical processing on the target data information in the target dimension to obtain index data corresponding to the target dimension.

The first data information includes at least one of an operation parameter of the at least one hardware device, device information of the at least one hardware device, and an environmental parameter of an environment in which the at least one hardware device is located. The second data information comprises interaction information of interaction between the at least one service unit and the cloud platform, wherein the interaction information comprises data information corresponding to data uploaded to the cloud platform by the at least one service unit and/or data information corresponding to data downloaded by the at least one service unit on the cloud platform. At least one cloud service is operated on the cloud platform, each cloud service corresponds to at least one service unit, and the service units interact with the cloud platform through the corresponding cloud service. The third data information comprises calling information of at least one cloud service to the at least one hardware device, alarm information corresponding to the at least one cloud service and data flow information corresponding to the at least one cloud service; the alarm information is used for representing abnormal operation of the corresponding cloud service; the data flow information comprises monitoring data acquired at a preset calling interface.

The method comprises the steps of constructing a space scene model corresponding to a space where a cloud platform is located, and after target data information is acquired, displaying an interface corresponding to the target data information based on the target data information or displaying the position distribution of at least one hardware device in the space where the cloud platform is located based on the space scene model or displaying an interface corresponding to index data of a target dimension based on index data of the target dimension under the condition that a target instruction input by a user is detected.

And under the condition that the target instruction is detected to be the first instruction, displaying the position distribution of the at least one hardware device in the space where the cloud platform is located based on the space scene model. And when the target instruction is detected to be the second instruction, displaying an interface corresponding to the index data of the target dimension based on the index data of the target dimension. And displaying a first interface corresponding to the first data information based on the first data information when the target instruction is detected to be the third instruction. And displaying a second interface corresponding to the second data information based on the second data information when the target instruction is detected to be the fourth instruction. And displaying a third interface corresponding to the third data information based on the third data information when the target instruction is detected to be the fifth instruction.

The beneficial effects of the invention are as follows: the method for monitoring and visualizing the operation of the cloud platform and the cloud service provided by the invention firstly realizes a three-dimensional model reflecting the position distribution of at least one hardware device in the space where the cloud platform is located, realizes the construction of a space scene model and the management of model information, and realizes the one-to-one real mapping and unified management of facilities such as a machine room, a ring control device, a cloud platform hardware device and the like by binding the space scene model and each hardware device. And the integrated operation and maintenance monitoring visualization of the cloud platform and the cloud service is realized, multi-source space-time data and monitoring data such as cloud platform resource data, cloud service operation data and the like are collected, effective monitoring of multiple dimensions such as infrastructure, cloud platform, cloud service and data and the like is formed, the operation states of the cloud platform and the cloud service are comprehensively mastered, the island of data is broken, and the operation and maintenance efficiency is improved. And the rich interactive exploration capability is realized, related business processes are integrated, associated and interacted, so that each business process is cooperatively displayed on a platform, the data linkage analysis is realized, the independent existing mode of each traditional system is broken, and the system fusion and business integration are truly realized.

On the basis of the technical scheme, the invention can be improved as follows.

Further, in constructing a spatial scene model corresponding to a space in which the cloud platform is located based on spatial scene data corresponding to the cloud platform, at least one base scene model associated with the cloud platform may be constructed based on the spatial scene data. The basic scene models are mutually independent and are used for representing objects included in the space where the cloud platform is located. And determining the position distribution of each basic scene model based on at least one of the layout drawing, the image and the live-action data corresponding to the space where the cloud platform is located, and obtaining a space scene model.

The beneficial effects of adopting the further scheme are as follows: specific implementations of building a spatial scene model are provided.

Further, based on the space scene data corresponding to the cloud platform, after the space scene model corresponding to the space where the cloud platform is located is constructed, the space scene model can be managed. Wherein managing the spatial scene model includes:

and sorting attribute data corresponding to the space scene model based on a preset sorting rule. And carrying out format conversion on the attribute data corresponding to the space scene model based on a preset format conversion rule. And inputting attribute data corresponding to the space scene model subjected to format conversion into the cloud platform.

And/or classifying the objects corresponding to the basic scene models.

And/or binding the equipment information of any hardware equipment with the target object in the objects corresponding to the basic scene models for any hardware equipment in the at least one hardware equipment. Wherein, any hardware device is associated with the target object.

And/or modifying model data corresponding to at least one basic scene model; and/or altering the position distribution of each base scene model; and/or updating the spatial scene model based on the new base scene model; and/or changing the binding relation between the target object and the equipment information of any hardware equipment; and/or establishing a binding relation between the target object and the device information of the new hardware device.

The beneficial effects of adopting the further scheme are as follows: the method for managing the space scene model is provided, for example, the space scene model can be modified and adjusted by the method, and the monitoring capability and the management efficiency of the cloud platform and the business on the cloud can be improved by improving the management capability of the space scene model.

Further, after the target data information is acquired, the target data information is subjected to a first process. Wherein, carry out first processing to the target data information, include: and determining the space-time data included in the target data information, wherein the space-time data comprises space-time static data, time dynamic space static data and time dynamic data. Wherein the spatiotemporal static data is used to characterize data comprised in the first data information, the second data information, and the third data that does not vary over time and over spatial variation. The time dynamic spatial static data is used to characterize data that varies with time but not with spatial variations included in the first data information, the second data information, and the third data. The spatio-temporal dynamic data is used to characterize the data comprised in the first data information, the second data information and the third data that varies with time and with spatial variation. And carrying out first pretreatment on the space-time data, and storing the space-time data subjected to the first pretreatment. The first preprocessing comprises the operations of reference unification, spatial indexing and coding on the space-time data. And constructing a spatial topological relation among all the preprocessed space-time data. And establishing a space-time data model based on the preprocessed space-time data, wherein the space-time data model is used for representing time dynamic space static data and the change trend of the space-time dynamic data, which changes along with the change of time. And obtaining standard space-time data based on the space-time data model.

Wherein, based on the first data information, displaying a first interface corresponding to the first data information, comprising: based on the first data information subjected to the first processing, a first interface corresponding to the first data information subjected to the first processing is displayed.

Based on the second data information, displaying a second interface corresponding to the second data information, comprising: based on the second data information subjected to the first processing, a second interface corresponding to the second data information subjected to the first processing is displayed.

Based on the third data information, displaying a third interface corresponding to the third data information, including: and displaying a third interface corresponding to the third data information subjected to the first processing based on the third data information subjected to the first processing.

Further, after the target data information is acquired, the target data information is subjected to a second process. Wherein performing the second processing on the target data information includes: multi-source data included in the target data information is determined. And performing second preprocessing on the multi-source data included in the target data information. The second preprocessing includes classifying, format converting, cleansing and updating the multi-source data. And carrying out aggregation processing on the multisource data subjected to the second preprocessing based on at least one preset statistical dimension.

Wherein, based on the first data information, displaying a first interface corresponding to the first data information, comprising: based on the first data information subjected to the second processing, a first interface corresponding to the first data information subjected to the second processing is displayed.

Based on the second data information, displaying a second interface corresponding to the second data information, comprising: and displaying a second interface corresponding to the second data information subjected to the second processing based on the second data information subjected to the second processing.

Based on the third data information, displaying a third interface corresponding to the third data information, including: and displaying a third interface corresponding to the third data information subjected to the second processing based on the third data information subjected to the second processing.

Further, the interface corresponding to the target data information includes a base effect component and a preset additional effect component. When a target instruction input by a user is detected, a first layer can be established in an interface corresponding to target data information based on the target data information, wherein the first layer is a blank layer. And loading and displaying a basic effect component in the first layer based on the target data information and the layer data associated with the target data information, wherein the basic effect component is used for presenting data associated with the target data information in an interface corresponding to the target data information. And loading and displaying an additional effect component in the first layer, wherein the additional effect component is used for enhancing the display effect of the data in the interface corresponding to the target data information.

The beneficial effects of adopting the further scheme are as follows: specific implementation modes of interfaces corresponding to the loading target data information are provided.

Further, in displaying the position distribution of at least one hardware device in the space where the cloud platform is located, the position distribution among the cloud platform including at least one hardware device, each service unit corresponding to the cloud platform, and the space station corresponding to the cloud platform may be displayed. And/or, a position distribution of the cloud platform including the at least one hardware device relative to the preset map may be displayed.

The beneficial effects of adopting the further scheme are as follows: methods are provided for displaying a location distribution of at least one hardware device in a space in which a cloud platform resides from different angles/aspects.

Further, in the case that the target instruction input by the user is detected, an interface corresponding to the target data information is displayed based on the target data information, or based on the spatial scene model, a position distribution of the at least one hardware device in a space where the cloud platform is located is displayed, or based on index data of the target dimension, an initial interface may be displayed in the interface corresponding to the index data of the target dimension. The initial interface comprises item controls for jumping and displaying the position distribution of at least one hardware device in the space where the cloud platform is located, an interface corresponding to index data for jumping and displaying the target dimension, item controls for jumping and displaying the first interface, item controls for jumping and displaying the second interface and item controls for jumping and displaying the third interface. And receiving clicking operation of any item control input by a user. And responding to the clicking operation, and requesting to acquire target data information for displaying a corresponding interface from a data interface of the item control corresponding to the clicking operation. If the request fails, generating alarm information for prompting the failure of the request. And if the request is successful, displaying an interface associated with the item control corresponding to the clicking operation.

The beneficial effects of adopting the further scheme are as follows: possible implementations of triggering the display of an interface corresponding to the target data information are provided.

In a second aspect, the present invention further provides a system for monitoring and visualizing operation of a cloud platform and a service on a cloud, including:

an infrastructure layer comprising at least one hardware device for supporting operation of the system.

The digital platform layer is used for creating an overall situation module, a resource monitoring module, a data monitoring module and a service monitoring module. The resource monitoring module is used for acquiring and processing first data information, wherein the first data information comprises at least one of operation parameters of at least one hardware device, device information of the at least one hardware device and environment parameters of an environment where the at least one hardware device is located. The data monitoring module is used for acquiring and processing second data information, the second data information comprises interaction information for at least one service unit to interact with the cloud platform, and the interaction information comprises data information corresponding to data uploaded to the cloud platform by the at least one service unit and/or data information corresponding to data downloaded by the at least one service unit on the cloud platform. At least one cloud service is operated on the cloud platform, each cloud service corresponds to at least one service unit, and the service units interact with the cloud platform through the corresponding cloud service. The service monitoring module is used for acquiring and processing third data information, wherein the third data information comprises calling information of at least one cloud service on at least one hardware device, alarm information corresponding to the at least one cloud service and data circulation information corresponding to the at least one cloud service. The alarm information is used for representing abnormal operation of the corresponding cloud service, and the data flow information comprises monitoring data acquired at a preset calling interface. The overall situation module is used for carrying out statistical processing on the target data information in the target dimension to obtain index data corresponding to the target dimension.

The service layer is used for constructing a space scene model corresponding to the space where the cloud platform is located based on the space scene data corresponding to the cloud platform. The spatial scene model is used to characterize location information of at least one hardware device. And the service layer is used for generating a visual model for displaying an interface associated with the corresponding data information based on at least one of the first data information, the second data information and the third data information.

And the application layer is used for providing a function of displaying the position distribution of at least one hardware device in the space where the cloud platform is located based on the overall situation module. And/or a function for providing an interface corresponding to the index data of the target dimension based on the overall situation module. And/or for providing a function for displaying a first interface corresponding to the first data information based on the resource monitoring module. And/or for providing a function for displaying a second interface corresponding to the second data information based on the data monitoring module. And/or, the function for displaying a third interface corresponding to the third data information based on the service monitoring module is provided.

And the display layer is used for displaying an interface corresponding to the target data information based on the target data information under the condition that the target instruction input by the user is detected, or displaying the position distribution of the at least one hardware device in the space where the cloud platform is located based on the space scene model, or displaying the interface corresponding to the index data of the target dimension based on the index data of the target dimension. The display layer is further used for displaying the position distribution of at least one hardware device in the space where the cloud platform is located based on the space scene model under the condition that the target instruction is detected to be the first instruction. And when the target instruction is detected to be the second instruction, displaying an interface corresponding to the index data of the target dimension based on the index data of the target dimension. And displaying the first interface based on the first data information when the target instruction is detected to be the third instruction. And displaying a second interface based on the second data information when the target instruction is detected to be the fourth instruction. And displaying a third interface based on the third data information when the target instruction is detected to be the fifth instruction.

The beneficial effects of the invention are as follows: the system for monitoring and visualizing the operation of the cloud platform and the cloud service provided by the invention firstly realizes a three-dimensional model reflecting the position distribution of at least one hardware device in the space where the cloud platform is located, realizes the construction of a space scene model and the management of model information, and realizes the one-to-one real mapping and unified management of facilities such as a machine room, a ring control device, a cloud platform hardware device and the like by binding the space scene model and each hardware device. And the integrated operation and maintenance monitoring visualization of the cloud platform and the cloud service is realized, multi-source space-time data and monitoring data such as cloud platform resource data, cloud service operation data and the like are collected, effective monitoring of multiple dimensions such as infrastructure, cloud platform, cloud service and data and the like is formed, the operation states of the cloud platform and the cloud service are comprehensively mastered, the island of data is broken, and the operation and maintenance efficiency is improved. And the rich interactive exploration capability is realized, related business processes are integrated, associated and interacted, so that each business process is cooperatively displayed on a platform, the data linkage analysis is realized, the independent existing mode of each traditional system is broken, and the system fusion and business integration are truly realized.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that are required to be used in the description of the embodiments of the present invention will be briefly described below.

Fig. 1 is a schematic flow chart of a method for monitoring and visualizing operation of a cloud platform and a service on the cloud according to an embodiment of the present application;

FIG. 2 is a flowchart of a method for displaying an interface corresponding to target data information using a visual rendering engine according to an embodiment of the present application;

fig. 3 is an interface schematic diagram for displaying a macroscopic scene according to an embodiment of the present application;

fig. 4 is an interface schematic diagram for displaying mesoscopic scenes according to an embodiment of the present application;

fig. 5 is a virtual scene effect diagram of a cabinet facility in a machine room provided in an embodiment of the present application;

fig. 6 is an effect diagram of a business module diagram linkage interaction provided in an embodiment of the present application;

fig. 7 is a schematic flow chart of a first process for processing target data information according to an embodiment of the present application;

FIG. 8 is a schematic flow chart of a first pretreatment method according to an embodiment of the present application;

fig. 9 is a schematic flow chart of a second process for performing the second process on the target data information according to the embodiment of the present application;

FIG. 10 is a schematic flow chart of a second pretreatment method according to an embodiment of the present disclosure;

FIG. 11 is a schematic illustration of an initial interface provided in an embodiment of the present application;

fig. 12 is a schematic view of monitoring a cloud platform service system according to an embodiment of the present application;

fig. 13 is a schematic structural diagram of a system for cloud platform and on-cloud service operation monitoring visualization according to an embodiment of the present application.

Detailed Description

The principles and features of the present invention are described below with examples given for the purpose of illustration only and are not intended to limit the scope of the invention. The following describes the technical scheme of the present invention and how the technical scheme of the present invention solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.

The method and the system for the cloud platform and the on-cloud service operation monitoring visualization can be applied to any scene requiring the cloud platform and the on-cloud service visualization monitoring. The method and system for monitoring and visualizing the operation of the cloud platform and the on-cloud service provided in the embodiment of the present application are described in detail below taking an application scenario of the embodiment of the present application as an example of a scenario for performing visual monitoring and controlling on-cloud service and a cloud platform for manned space projects.

In a first aspect, an embodiment of the present application provides a method for visualizing cloud platform and on-cloud service operation monitoring, referring to fig. 1, the method may include the following steps S101 to S103:

s101: and constructing a space scene model corresponding to the space where the cloud platform is located based on the space scene data corresponding to the cloud platform.

The cloud platform comprises at least one hardware device, and the space scene model is used for representing the position information of the at least one hardware device.

In some embodiments, at least one base scene model associated with the cloud platform may be constructed based on the spatial scene data. The basic scene models are mutually independent and are used for representing objects included in the space where the cloud platform is located. And determining the position distribution of each basic scene model based on at least one of the layout drawing, the image and the live-action data corresponding to the space where the cloud platform is located, and obtaining a space scene model.

In some embodiments, the spatial scene data includes picture data corresponding to a picture of a park, a building, and a machine room appearance where each hardware device included in the cloud platform is located, and/or preset scene model data. Based on picture data corresponding to the park, building and machine room appearance pictures of each hardware device included in the cloud platform, and/or preset scene model data and 3DMax software, a basic scene model can be constructed. Wherein the base scene model may comprise: building, house structure, hardware equipment (cabinet, server, etc.), monitoring and fire-fighting equipment, etc.

In some embodiments, the sources of the spatial scene data are mainly divided into two types, namely a model file derived from an existing scene and a scene picture derived from autonomous shooting. Spatial scene data may be acquired for both of these different sources. By way of example, the spatial scene data may be model scale data, model base physical parameters, and the like.

In some embodiments, an equiproportion model (base scene model) of a base scene can be manufactured by adopting various modeling modes such as built-in model modeling, composite object modeling, two-dimensional graph modeling, grid modeling, polygonal modeling and the like, and the base scene model can reflect the real outline of a machine room and buildings around the machine room.

In some embodiments, a scene picture may be acquired and picture data in the scene picture extracted. Then, according to the analyzed and arranged photo, a special tool is used for manufacturing the required mapping material of the model, a baking mapping method such as normal mapping, OCC/AO mapping, fixation mapping and the like is adopted, mapping is given to the model, a part of pretreatment components with known physical parameters such as glass, cement, railings and the like are given to the model, and baking mapping is carried out to derive an intermediate process file. And importing the intermediate process file into a special node editor to edit and adjust the intermediate process file into a model node supported by the program, and outputting a standard 3DMax model file. The model file output can be a standard 3DMax model file comprising a building, an in-machine room structure, in-machine room hardware equipment (a cabinet, a server and the like), monitoring equipment, fire-fighting equipment and the like of each hardware equipment included in the cloud platform. Based on the 3DMax model file, a basic scene model required by the embodiment of the application can be obtained.

In some embodiments, the obtained basic scene model can be laid out by analyzing a CAD drawing, a live-action photo and a field investigation mode of the machine room, and after the laying out is completed, a standard 3DMax model file in the machine room is output. Based on the output standard 3DMax model file in the machine room, the space scene model required by the embodiment of the application can be obtained.

Wherein, the laying out the acquired basic scene model may include:

and (3) analyzing the drawing file data: analyzing the arrangement conditions of buildings, machine room hardware equipment (such as servers and the like), environmental control equipment and the like by referring to drawing documents;

arranging a machine room model: placing the constructed machine room three-dimensional model to an accurate position according to a CAD drawing or a layout in a real scene (photo/field survey);

and (3) arranging an equipment model: according to the CAD drawing or the equipment layout in the real scene (photo/field survey), the constructed three-dimensional models such as hardware equipment, environmental control equipment and the like are arranged in the three-dimensional scene of the machine room;

scene adjustment: and adjusting the azimuth, the proportion and the like of the three-dimensional scene according to the live photo.

In some embodiments, the resulting spatial scene model may be managed to modify or adjust the spatial scene model. By improving the management capability of the space scene model, the monitoring capability and the management efficiency of the cloud platform and the business on the cloud can be improved.

In some embodiments, managing the spatial scene model may include sorting attribute data corresponding to the spatial scene model based on a preset sorting rule. And carrying out format conversion on the attribute data corresponding to the space scene model based on a preset format conversion rule. And inputting attribute data corresponding to the space scene model subjected to format conversion into the cloud platform.

In some embodiments, managing the spatial scene models may include classifying objects corresponding to each of the base scene models.

In some embodiments, managing the spatial scene model may include binding, for any of the at least one hardware device, device information for any hardware device with a target object of objects corresponding to the respective base scene model. Wherein, any hardware device is associated with the target object.

In some embodiments, managing the spatial scene model may include modifying model data corresponding to at least one base scene model; and/or altering the position distribution of each base scene model; and/or updating the spatial scene model based on the new base scene model; and/or changing the binding relation between the target object and the equipment information of any hardware equipment; and/or establishing a binding relation between the target object and the device information of the new hardware device.

S102: and acquiring target data information, wherein the target data information comprises first data information, second data information and third data information.

The first data information includes at least one of an operation parameter of the at least one hardware device, device information of the at least one hardware device, and an environmental parameter of an environment in which the at least one hardware device is located.

The second data information comprises interaction information of interaction between the at least one service unit and the cloud platform, wherein the interaction information comprises data information corresponding to data uploaded to the cloud platform by the at least one service unit and/or data information corresponding to data downloaded by the at least one service unit on the cloud platform. At least one cloud service is operated on the cloud platform, each cloud service corresponds to at least one service unit, and the service units interact with the cloud platform through the corresponding cloud service.

The third data information comprises calling information of at least one cloud service to the at least one hardware device, alarm information corresponding to the at least one cloud service and data flow information corresponding to the at least one cloud service; the alarm information is used for representing abnormal operation of the corresponding cloud service; the data flow information comprises monitoring data acquired at a preset calling interface.

It should be noted that, the target data information in the embodiment of the present application may be obtained based on a manual acquisition manner, may be obtained based on an automatic acquisition manner, and may be obtained based on a combination of manual acquisition and automatic acquisition, which is not limited in the embodiment of the present application.

S103: and carrying out statistical processing on the target data information in the target dimension to obtain index data corresponding to the target dimension.

The target dimension is a macroscopic dimension for cloud platform hardware resources, cloud platform data and business data on the cloud, and a person skilled in the art can set the target dimension by himself based on actual application scenes and functional requirements, for example, the target dimension is set to be the total memory size of files stored in the cloud platform, the total number of files stored in the cloud platform, the total sum of utilization rates of the CPU by businesses on each cloud, and the like.

S104: and displaying an interface corresponding to the target data information based on the target data information under the condition that the target instruction input by the user is detected, or displaying the position distribution of at least one hardware device in the space where the cloud platform is positioned based on the space scene model, or displaying the interface corresponding to the target dimension index data based on the target dimension index data.

In some embodiments, an interface corresponding to the target data information may be displayed based on the visual rendering engine, or an interface associated with the spatial scene model may be displayed. The visual rendering engine is mainly used for expressing various accessed data in a visual mode, and achieves the purposes of reducing reality and exceeding reality. The visual presentation engine mainly adjusts visual effects through various tools, the system provides a video roaming editing tool, roaming script editing can be carried out on roaming demonstration scenes, and finally integrated presentation is carried out on a large screen end uniformly.

In some embodiments, the visual rendering engine is composed of five modules, namely a graphic layer management module, a standard data importing module, a three-dimensional effect rendering module, a basic effect component module and an enhanced effect component module, and performs visual rendering on the data in a manner of creating a visual theme.

Fig. 2 is a flowchart of a method for displaying an interface corresponding to target data information by using a visual rendering engine according to an embodiment of the present application. Referring to fig. 2, the method may include the following steps S201 to S205:

S201: and under the condition that the target instruction input by the user is detected, the layer management module establishes a first layer.

Wherein the first layer is a blank layer. The layer management module can be used for newly building layers, layer naming, layer sequence management, layer display and hidden control and layer deletion, and system administrators and operators can perform layering, grading and grouping management on the newly built layers and select to display or hide a certain layer through layer control.

S202: and acquiring target data information through a standard data importing module, and importing the target data information into the first layer.

The data type of the standard data information may include 3DMax data and vector data. The standard data import module can load the target data information so as to obtain static information and dynamic information in the basic scene model. The static information includes at least one of vertex information, face information, normal information, texture information, color information, light characteristic information, smooth group information, grouping information, upper and lower relationship information, and map information (texture map, concave-convex map, and illumination map). The dynamic information includes at least one of frame animation and special effects.

And S203, selecting layer data corresponding to the first layer based on the three-dimensional effect rendering module, and loading the data to generate a three-dimensional scene with a basic effect.

The three-dimensional effect rendering module selects layer data (such as a bottom plate, facilities, an environment layer and the like of the first layer) corresponding to the first layer from the created layers, loads the data, generates a three-dimensional scene with basic effects, and forms a base map of the first layer.

S204: the base effect component module loads display base effect components in a first layer based on the target data information and layer data associated with the target data information.

The basic effect component is used for presenting data associated with the target data information in an interface corresponding to the target data information. For example, three-dimensional special effects such as color block diagrams, three-dimensional bar graphs, pop-up labels, projection lines, model labels, screen pictures, screen text, common region lines, migration lines, video labels, graphic labels, decal lines, on-line text, cylindrical labels, conical labels, spatial text space line effects, diffusion ring effects, and the like, and data associated with target data information is presented based on a big data analysis of the time dimension.

The enhanced effects component module loads the display additional effects component in the first layer S205.

The additional effect component is used for enhancing the display effect of the data in the interface corresponding to the target data information. In order to enhance the cool sense and the real immersion sense of the display interface, an enhancement effect component can be displayed aiming at part of the interface, so that the light and shadow projection effect of the facility model and the building model is changed according to the current system time, the three-dimensional display effect is further enhanced, and the picture has more realism.

In some embodiments, the visual presentation engine can add and manage the displayed (or to-be-displayed) interface and its interface according to the visual requirement, so as to realize that the related business data is presented on the large screen through different interfaces. The seamless switching of the macroscopic scene, the mesoscopic scene and the microscopic scene based on the three-dimensional space can be provided, the seamless switching of the real scene and the virtual scene in the space is supported, and the visual presentation requirements of different scenes and different services are met.

Wherein, the three layers of macroscopic, mesoscopic and microscopic correspond to the strategic positioning schematic diagram, the two-place three-center planning and the macroscopic situation diagram respectively. The following describes the macro scene, the mesoscopic scene and the micro scene in the embodiment of the present application in detail.

Strategic positioning schematic drawing strategically positions the macroscopic viewing cloud platform, constructs a three-dimensional stereoscopic model for the space station, the cloud platform and the business units, uses a script roaming tool as a system home page for editing, and finally performs stereoscopic panoramic display on the relationship between the cloud platform and each business unit by using a visual interaction 3D visual interaction technology. The page is mainly divided into an upper part, a middle part and a lower part, the upper layer is an operation model of a space station, the space station rotates around the earth for one circle, finally, the space station stays above a specific position (the actual position of the space station), and is amplified, and then, a business unit and a cloud platform emerge. The middle layer is a data center planning schematic diagram of two places and three centers, and the lower layer is a building model of a service unit, so that data of the space station flows to the service unit, and data of the service unit flows to the cloud platform.

And the two-place three-center programming is used for watching the construction programming of the cloud platform data center, and the geographic position is marked through the display form of the three-dimensional map. The page is divided into an upper part and a lower part, the lower layer is a local preset map (for example, chinese map), the map is displayed in a three-dimensional map form, names of two cities and three data centers are rendered on the map in an emphasized mode, and different colors are carried out; the upper part shows a schematic diagram of two data centers in the same city, and links and displays the two data centers through samples of data streams.

The macro situation is a graph which specifically displays service related indexes on a cloud of a service unit and the running condition of a cloud platform, and displays the service related indexes in the form of cards and highly refined indexes, wherein the specific display content comprises resource monitoring, data monitoring, statistical analysis indexes of service monitoring and application service conditions. The resource monitoring comprises the current situations of a current cloud platform server, network equipment and storage equipment; the data monitoring comprises data downloading amount and access amount, so that the time change trend of the data service is observed; the service monitoring can check cloud time of different service unit systems, and can also check the total amount and the utilization rate of the CPU, the total amount and the utilization rate of the memory, and the total amount and the utilization rate of the storage of a specific service system in detail.

The macro scene, the mesoscopic scene and the micro scene in the embodiment of the application are described in detail below with reference to specific interfaces.

In some embodiments, in a case where the target instruction is detected as the first instruction, a position distribution of the at least one hardware device in a space where the cloud platform is located may be displayed based on the spatial scene model.

In displaying the position distribution of at least one hardware device in the space where the cloud platform is located, an interface including the cloud platform of the at least one hardware device, each service unit corresponding to the cloud platform, and the position distribution between the space stations corresponding to the cloud platform as shown in fig. 3 may be displayed. The cloud platform of the at least one hardware device, each business unit corresponding to the cloud platform, and the scene presented by the position distribution among the space stations corresponding to the cloud platform are macroscopic scenes.

In displaying the position distribution of the at least one hardware device in the space where the cloud platform is located, an interface including the position distribution of the cloud platform 401 of the at least one hardware device with respect to the preset map 402 as shown in fig. 4 may be displayed. The scene presented by the cloud platform of the at least one hardware device relative to the position distribution of the preset map is the mesoscopic scene.

In the embodiment of the application, a virtual scene for the hardware equipment in the machine room can be displayed, and related operation information of each hardware equipment can be displayed. Referring to fig. 5, the visual presentation engine in the embodiment of the present application further supports linkage interaction between the chart and the scene, and transmits the operation on the chart to the visual scene in a two-dimensional interaction manner, so as to implement linkage analysis on data. Fig. 6 is an effect diagram of linkage interaction of a service module chart provided in an embodiment of the present application, which shows linkage interaction between a cabinet entity model and an equipment list.

In some embodiments, in the event that the target instruction is detected as the second instruction, an interface corresponding to the index data of the target dimension is displayed based on the index data of the target dimension. And displaying a first interface corresponding to the first data information based on the first data information when the target instruction is detected to be the third instruction. And displaying a second interface corresponding to the second data information based on the second data information when the target instruction is detected to be the fourth instruction. And displaying a third interface corresponding to the third data information based on the third data information when the target instruction is detected to be the fifth instruction. The scenes presented in the interface, the first interface, the second interface and the third interface corresponding to the index data of the target dimension are all microscopic scenes in the embodiment of the application.

In some embodiments, the access of the target data information may be accessed through both file class data integration and service class data integration. The time-space data and the general monitoring data can be processed according to different flows, so that standardized data are formed and stored in a database.

The file data integration is manually collected, corresponding data source files are selected through a file importing interface in data source selection, and analysis and importing are carried out on a data preview interface. The service data integration is realized by automatically collecting the service data through an API interface, and the automatic real-time collection of the data is realized by establishing a corresponding relation between a data collection data source and a collection target database.

In the embodiment of the invention, the used data sources are more, the forms are complex and various, and the interfaces mainly related to the real-time data acquisition are shown in the following table 1:

TABLE 1

In the embodiment of the application, the manually collected data content mainly comprises space-time static data, such as equipment tag data, automatically collected time dynamic space static data (such as equipment operation data), space-time dynamic data (such as alarm event data) and the like.

In some embodiments, after the cloud platform acquires the target data information, a first process may be performed on the target data information. Referring to fig. 7, performing the first process on the target data information includes the following steps S701 to S702:

S701: spatiotemporal data included in the target data information is determined.

The space-time data comprises space-time static data, time dynamic space static data and space-time dynamic data. The spatio-temporal static data is used to characterize data comprised in the first data information, the second data information and the third data that does not vary with time and with spatial variations. The time dynamic spatial static data is used to characterize data that varies with time but not with spatial variations included in the first data information, the second data information, and the third data. The spatio-temporal dynamic data is used to characterize the data comprised in the first data information, the second data information and the third data that varies with time and with spatial variation.

S702: and carrying out first pretreatment on the space-time data, and storing the space-time data subjected to the first pretreatment.

Wherein, referring to fig. 8, the first preprocessing includes the following steps S801 to S804:

s801: and performing standard unification, spatial indexing and coding operation on the space-time data.

The original grid data can be subjected to quadtree coding by adopting a LOD (Level Of Detail) algorithm based on the quadtree, so that the storage form of the data is optimized, and a data structure which is more beneficial to real-time drawing is realized. By adding the association information and the hash table, the data redundancy is reduced, and the data association and the retrieval efficiency are optimized so as to meet the retrieval and display efficiency requirements.

S802: and constructing a spatial topological relation among all the preprocessed space-time data.

The space topology data consists of a group of limited marked points, curves and areas, and the space topology relation is formed by describing adjacency, association and inclusion relation among target points, lines and faces, wherein the method comprises a four-way cross model, a nine-way cross model, an area connection calculation (RCC) model and the like. The measurement attribute of the spatial relationship is related to the distance, the size and the direction, and the data of different types, different precision and different coordinate systems are converted, so that the spatial topological data relationship is adapted to the method.

S803: and establishing a space-time data model based on the preprocessed space-time data to form standard space-time data.

The space-time data model is used for representing time dynamic space static data and a change trend of the space-time dynamic data which changes along with the change of time. According to the visual requirements, model construction is carried out on space geography, equipment and the like, meanwhile, attribute binding is carried out on space data, and data in the same position and space are collected to form standardized space-time data.

In some embodiments, based on the first data information subjected to the first processing, a first interface corresponding to the first data information subjected to the first processing may be displayed.

In some embodiments, a second interface corresponding to the first processed second data information may be displayed based on the first processed second data information.

In some embodiments, a third interface corresponding to the first processed third data information may be displayed based on the first processed third data information.

In some embodiments, after the target data information is acquired, a second process may also be performed on the target data information. Referring to fig. 9, performing the second process on the target data information includes the following steps S901 to S902:

s901: multi-source data included in the target data information is determined.

S902: and performing second preprocessing on the multi-source data included in the target data information.

Wherein, referring to fig. 10, the second preprocessing includes the following steps S1001 to S1002:

s1001: classifying, format converting, cleaning and updating the multi-source data.

Specifically, the method can analyze the results returned by various data acquisition interfaces, integrate the data returned by multiple interfaces, and form the data format required by the part of the topic library. If the change of the resource utilization rate is monitored, the system respectively calls the historical change curve query interfaces of the CPU, the memory, the storage and other performance indexes, integrates the three types of returned data and realizes the unified observation of the change condition of the resource.

In some embodiments, the information returned by a part of the data acquisition interfaces is complicated and redundant, so that the original data needs to be cleaned, only the field concerned by service monitoring is reserved, and the burden of subsequent data processing is reduced. Some static data (such as server information) generally have little change, full replacement is not needed after each acquisition, and only the changed data is updated by data comparison in an incremental data capturing mode.

S1002: and carrying out aggregation processing on the multisource data subjected to the second preprocessing based on at least one preset statistical dimension.

The data can be aggregated according to the statistical dimension, for example, the alarm data needs to call a plurality of inquiry interfaces for a plurality of times, the result of the plurality of times of call is aggregated according to the unique ID to form a whole set of the alarm information, and then the aggregated alarm records are classified and counted.

In some embodiments, based on the second processed first data information, a first interface corresponding to the second processed first data information may be displayed.

In some embodiments, a second interface corresponding to the second processed second data information may be displayed based on the second processed second data information.

In some embodiments, a third interface corresponding to the third data information subjected to the second process may be displayed based on the third data information subjected to the second process.

In some embodiments, the first processed and/or second processed target data information may be statistically processed in a target dimension to obtain index data corresponding to the target dimension, and an interface corresponding to the index data of the target dimension may be displayed.

In some embodiments, the method provided by the application can further comprise the step of performing light weight processing on the oversized model. Wherein oversized models typically have a large number of triangular faces, an increase in the number of triangular faces can lead to a stuck system engine. The method can perform surface deletion processing on the generated oversized model through 3DMax software, so that the oversized model is subjected to light-weight processing, the visual effect is more stable, and the requirement of large scene display and loading is met.

In some embodiments, in the event that a target instruction entered by a user is detected, an initial interface as shown in FIG. 11 may be displayed based on the target data information. The initial interface includes an item control 1101 for jumping to display the overall situation, an item control 1102 for jumping to display the first interface, an item control 1103 for jumping to display the second interface, and an item control 1104 for jumping to display the third interface. The user can click on any item control. When receiving a click operation of any item control input by a user, the cloud platform can respond to the click operation and request to acquire target data information for displaying a corresponding interface from a data interface of the item control corresponding to the click operation.

And if the request is successful, displaying an interface associated with the item control corresponding to the clicking operation. For example, an interface including parameters of the controlling device is displayed, an interface including operating parameters of the controlling device is displayed, and an interface including cloud platform resource operation monitoring is displayed.

If the request fails, generating alarm information for prompting the request failure, and displaying an interface comprising the alarm information. For example, an interface including the environmental control equipment alarm information and an interface of the cloud platform resource alarm information are displayed.

In connection with the above description, the interface including the content of the micro level will be described in detail below by taking the displayed interface as an example of the interface including the content of the micro level, where the interface including the parameter of the ring control device, the interface including the operation parameter of the ring control device, the interface including the alarm information of the ring control device, the interface including the operation monitoring of the cloud platform resource, the interface of the cloud platform resource alarm, and the like.

The method comprises the steps of carrying out real-time state operation of equipment in a real-time scene through model mapping depth reduction by checking, positioning and displaying according to information such as serial numbers, names, positions (such as rooms and floors) and the like of the environmental control equipment. The user can view the basic information of the corresponding device by clicking the device. For the alert thematic page, a time range needs to be designated for querying, such as querying alert related content in a week or month dimension.

The parameters of the environmental control equipment mainly comprise parameters such as an environmental control equipment profile, environmental control temperature and humidity, and the like, the thematic interface counts the number of the environmental control equipment of the data center, the specific number and the duty ratio of the equipment such as access control, video, fire control, cameras, temperature and humidity sensors, and the like through the equipment total number index and the equipment item index, and a user can check the basic information of the equipment by clicking the corresponding equipment.

The operation parameters of the environmental control equipment mainly comprise the historical operation time and quantity of the refrigeration equipment, the historical opening times of the access control and the historical time energy consumption of various equipment. The thematic page system performs data butt joint and real-time monitoring by selecting important equipment which needs to monitor the running state in real time from all the environmental control equipment, intuitively displays the running data of the equipment on a thematic interface, and simultaneously displays the highest value, the lowest value and the average value of the running data of the equipment.

The alarm information of the environmental control equipment comprises an alarm profile, an alarm trend and an alarm event list, wherein the alarm profile can inquire information of power supply alarm, refrigeration alarm, security alarm, environment alarm and the like according to the dimension of the week or month.

The cloud platform resource operation monitoring and obtaining data mainly comprises various indexes of hardware equipment such as a CPU, a block storage, a memory, a server, network equipment and the like.

The cloud platform resource alarm analyzes and displays the software and hardware alarm information of the cloud platform and the data center, and the content comprises three parts, namely an alarm profile, alarm trend analysis and an alarm event list. The alarm profile can inquire alarm information of different alarm levels according to the dimension of the week or month, wherein the alarm levels comprise prompt alarms, secondary alarms, important alarms, emergency alarms and the like.

In some embodiments, the method provided by the application can display the index data values or related alarm information associated with the cloud platform and the business on the cloud on the corresponding thematic interface in the form of a visual chart.

The cloud platform environment-friendly intelligent monitoring system can be combined with usage conditions of various real-time cloud platform environment-friendly equipment, calculation, storage and other resources such as pie charts, bar charts, line charts and the like, through visual monitoring of cloud platform operation resources and infrastructure, operation and maintenance personnel are helped to control the operation state of cloud platform bottom equipment, when an abnormal state of a key index generates an alarm, the alarm can be linked to a machine room three-dimensional model in real time, the operation and maintenance personnel can be helped to quickly locate a machine cabinet, equipment and an internal module which are in problem, observability operation and maintenance capability and fault removal efficiency are improved, and the visibility and controllability of cloud platform resources and infrastructure are realized.

In some embodiments, cloud platform data archives and usage may be statistically and visually presented.

The data can be used as a link, the time is used as a main line, a data resource system is constructed, the overall situation of data resource integration is presented, a user is helped to check the downloading amount and the access amount of the data on an interface, the time variation trend of the data service is observed, the details of data sharing and downloading are known through a list, and the active observation capability of the user on the platform data is improved.

In some embodiments, the cumulative archived file size and number and the total record count of the database may be presented digitally directly for visual presentation aspects of the data archive. And displaying the change trend of the size and the number of the archive files and the total record number of the database along with time by adopting a line diagram and other modes, displaying the distribution of the size and the number of the archive data of each business unit by adopting a histogram and other modes, displaying the item data information by adopting a table, and displaying the details of a data list of the archive data of each business unit as an object.

In some embodiments, for the visual display aspect of data usage, the sizes and the numbers of shared files and downloaded files of a data center can be directly displayed in a digital manner, the changing trend of the number of data downloads, the size and the number of database accesses with time is displayed in a line graph or the like manner, the distribution of the sizes and the numbers of the data shared and downloaded by each service unit is displayed in a histogram or the like manner, the tabular display is used for displaying the item data information, and the display object comprises the details of the data list shared and downloaded by each service unit.

Furthermore, the embodiment of the invention supports the system administrator to perform data screening according to any combination of time, service system, data volume, data type and other dimensions and configure the custom alarm threshold, and alarms the data tasks which are not submitted on time by monitoring the submitted files of the support centers in real time, thereby comprehensively analyzing the data resource system.

In some embodiments, visual display can be performed on aspects of resource allocation and use of a service system on the cloud, data flow of the service system, operation alarm of the service system and the like.

The cloud service system resource allocation and use monitoring system can monitor resource allocation and use of each service system on the cloud, rank resource allocation and use conditions of each service system, timely discover and prompt abnormal conditions such as resource waste and resource operation bottleneck of operation and maintenance personnel, and provide effective data support for the operation and maintenance personnel for carrying out resource capacity expansion, secondary allocation and resource recovery.

In some embodiments, in terms of visual display of resource allocation and use of the cloud service system, the number of cloud service systems can be displayed according to dimensions such as service units, cloud time and the like in a digital pie chart; the method comprises the steps of supporting to view resource use ranking of each task unit on selectable time dimensions (day, week and month) and occupation ranking of each cloud business system on selectable resource types in a bar graph mode, wherein the resource types comprise virtual machines, CPUs (central processing units), various storage network resources and the like; aiming at a specific service system, the multi-dimensional information such as the service units, the cloud time, various resource occupation conditions, the early warning information list and the like of the service system is displayed in a mode of combining various statistical graphics such as a histogram, a fan-shaped graph, an instrument panel, a line graph and the like and combining corresponding text lists.

Referring to fig. 12, a schematic view of monitoring a cloud platform service system provided in an embodiment of the present application is shown in fig. 12, in which, by interacting with a pie chart at the upper left corner, clicking on a name of a corresponding service system, displaying details of resources of the corresponding service system in a linked right column, displaying basic information of the system, service system resource usage conditions and service system resource early warning information, and supporting an operation and maintenance person to drill down for analysis on resource usage conditions of specific services.

In some embodiments, for the visual display of service data flow, the operation parameters related to the statistics record ES, kafka, redis are mainly monitored by burying points at calling interfaces related to an ES database, a Kafka middleware and a Redis cache, and the statistics record includes a plurality of indexes such as node data, a COU usage rate, a JVM usage rate, query performance in a time dimension, a partition message number of Kafka, a memory usage rate of Redis, a query hit rate and the like of the ES cluster, and all indexes of the statistics record are combined and displayed in various modes such as a list, a number, a pie chart, a line graph and the like.

In some embodiments, for visual display of the service system operation alarm aspect, specific alarm information can be obtained by carrying out combined query on parameters such as alarm time, alarm level, alarm object and the like, the alarm quantity of different levels is displayed in the form of a digital plus dashboard, the variation trend of the alarm quantity of different time periods is displayed in the form of a line graph, and specific information related to the alarm is displayed in the form of a list.

In a second aspect, an embodiment of the present application further provides a system for cloud platform and on-cloud service operation monitoring visualization. Referring to fig. 13, the system includes at least five layers of structures, which are respectively an infrastructure layer, a digital platform layer, a service layer, an application layer and a presentation layer from bottom to top, specifically as follows:

an infrastructure layer comprising at least one hardware device, such as a server, a network device, a storage device, etc. The at least one hardware device is configured to support operation of the present system.

The digital platform layer is used for creating an overall situation module, a resource monitoring module, a data monitoring module and a service monitoring module.

The resource monitoring module is used for acquiring and processing first data information, wherein the first data information comprises at least one of operation parameters of at least one hardware device, device information of the at least one hardware device and environment parameters of an environment where the at least one hardware device is located.

That is, the resource monitoring module is used for assisting a user to check basic information and operation status quo of the current cloud platform server, network equipment and storage equipment, reduces cost of manual on-site investigation, supports to directly check early warning details in three-dimensional graphics, is convenient for operation and maintenance personnel to track and trace problems and faults, and is mainly divided into two parts of cloud platform operation environment monitoring and cloud platform operation resource monitoring according to an actual functional module.

In the embodiment of the invention, the cloud resource operation environment monitoring is monitored through three thematic modules of the environmental control equipment overview, the environmental control equipment operation monitoring and the environmental control equipment alarm; the cloud platform operation resource monitoring is monitored through a platform resource operation monitoring and platform resource alarming thematic module.

The data monitoring module is used for acquiring and processing second data information, the second data information comprises interaction information for at least one service unit to interact with the cloud platform, and the interaction information comprises data information corresponding to data uploaded to the cloud platform by the at least one service unit and/or data information corresponding to data downloaded by the at least one service unit on the cloud platform. At least one cloud service is operated on the cloud platform, each cloud service corresponds to at least one service unit, and the service units interact with the cloud platform through the corresponding cloud service.

The service monitoring module is used for acquiring and processing third data information, wherein the third data information comprises calling information of at least one cloud service on at least one hardware device, alarm information corresponding to the at least one cloud service and data circulation information corresponding to the at least one cloud service. The alarm information is used for representing abnormal operation of the corresponding cloud service, and the data flow information comprises monitoring data acquired at a preset calling interface.

The overall situation module is used for carrying out statistical processing on the target data information in the target dimension to obtain index data corresponding to the target dimension. The description of the target dimension may be referred to the description in the foregoing embodiments, and will not be repeated herein.

The service layer is a support system for supporting model construction and management, data access and management, a visualization engine, platform user management and the like of visual large screen display. The method is used for constructing a space scene model corresponding to the space where the cloud platform is located based on the space scene data corresponding to the cloud platform. The spatial scene model is used to characterize location information of at least one hardware device. And the service layer is used for generating a visual model for displaying an interface associated with the corresponding data information based on at least one of the first data information, the second data information and the third data information.

And the display layer is used for directly providing an interface for the front end of the large screen to interact with a user. Specifically, the method is used for displaying an interface corresponding to target data information based on the target data information under the condition that a target instruction input by a user is detected, or displaying the position distribution of at least one hardware device in a space where a cloud platform is located based on the space scene model, or displaying an interface corresponding to target dimension index data based on the target dimension index data.

In some embodiments, the presentation layer is further configured to display, based on the spatial scene model, a location distribution of the at least one hardware device in a space where the cloud platform is located, if the target instruction is detected to be the first instruction. And displaying an interface corresponding to the index data of the target dimension based on the index data of the target dimension when the target instruction is detected as the second instruction. And displaying the first interface based on the first data information when the target instruction is detected to be the third instruction. And displaying a second interface based on the second data information if the target instruction is detected to be the fourth instruction. And displaying a third interface based on the third data information if the target instruction is detected to be the fifth instruction.

The method and the system for the cloud platform and the on-cloud service operation monitoring visualization can realize the visualization of the three-dimensional model of the position distribution of at least one hardware device in the space where the cloud platform is located, the construction of a space scene model and the management of model information, and realize the one-to-one real mapping and unified management of facilities such as a machine room, a ring control device, a cloud platform hardware device and the like through the binding of the space scene model and each hardware device. And the integrated operation and maintenance monitoring visualization of the cloud platform and the cloud service is realized, multi-source space-time data and monitoring data such as cloud platform resource data, cloud service operation data and the like are collected, effective monitoring of multiple dimensions such as infrastructure, cloud platform, cloud service and data and the like is formed, the operation states of the cloud platform and the cloud service are comprehensively mastered, the island of data is broken, and the operation and maintenance efficiency is improved. And the rich interactive exploration capability is realized, related business processes are integrated, associated and interacted, so that each business process is cooperatively displayed on a platform, the data linkage analysis is realized, the independent existing mode of each traditional system is broken, and the system fusion and business integration are truly realized.

In a third aspect, the embodiments of the present application further provide a data processing system, where the data processing system may operate based on a method for visualizing cloud platform and on-cloud service operation monitoring provided in the first aspect of the embodiments of the present application, and a principle of solving a problem is similar to that of the method. The data processing system provided by the embodiment of the invention comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the methods and/or aspects of the various embodiments of the invention described above.

In a fourth aspect, another embodiment of the present invention also provides a computer readable storage medium having stored thereon computer program instructions executable by a processor to implement the method and/or the technical solution of any one or more of the embodiments of the present invention described above.

In particular, the present embodiments may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowchart or block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of devices, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple elements or page components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.

The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Claims

1. A method for cloud platform and on-cloud business operation monitoring visualization, comprising:

constructing a space scene model corresponding to a space where a cloud platform is located based on space scene data corresponding to the cloud platform; the cloud platform comprises at least one hardware device, and the space scene model is used for representing the position information of the at least one hardware device;

acquiring target data information; the target data information comprises first data information, second data information and third data information;

Carrying out statistical processing on the target data information in a target dimension to obtain index data corresponding to the target dimension;

wherein the first data information includes at least one of an operation parameter of the at least one hardware device, device information of the at least one hardware device, and an environmental parameter of an environment in which the at least one hardware device is located;

the second data information comprises interaction information of at least one business unit interacting with the cloud platform; the interaction information comprises data information corresponding to data uploaded to the cloud platform by the at least one service unit and/or data information corresponding to data downloaded by the at least one service unit on the cloud platform; at least one cloud service is operated on the cloud platform, and each cloud service corresponds to at least one service unit; the business units interact with the cloud platform through the corresponding cloud business;

the third data information comprises call information of the at least one cloud service to the at least one hardware device, alarm information corresponding to the at least one cloud service and data flow information corresponding to the at least one cloud service; the alarm information is used for representing abnormal operation of the corresponding cloud service; the data flow information comprises monitoring data acquired at a preset calling interface;

The method further comprises the steps of:

displaying an interface corresponding to the target data information based on the target data information under the condition that a target instruction input by a user is detected, or displaying the position distribution of the at least one hardware device in the space where the cloud platform is located based on the space scene model, or displaying an interface corresponding to the target dimension index data based on the target dimension index data;

under the condition that the target instruction is detected to be a first instruction, based on the space scene model, displaying the position distribution of the at least one hardware device in the space where the cloud platform is located;

displaying an interface corresponding to the index data of the target dimension based on the index data of the target dimension when the target instruction is detected to be a second instruction;

displaying a first interface corresponding to the first data information based on the first data information when the target instruction is detected to be a third instruction;

displaying a second interface corresponding to the second data information based on the second data information when the target instruction is detected to be a fourth instruction;

And displaying a third interface corresponding to the third data information based on the third data information when the target instruction is detected to be a fifth instruction.

2. The method of claim 1, wherein constructing a spatial scene model corresponding to a space in which the cloud platform is located based on spatial scene data corresponding to the cloud platform comprises:

constructing at least one basic scene model associated with the cloud platform based on the spatial scene data; wherein, each basic scene model is mutually independent; the basic scene model is used for representing objects included in a space where the cloud platform is located;

and determining the position distribution of each basic scene model based on at least one of a layout drawing, an image and live-action data corresponding to the space where the cloud platform is located, so as to obtain the space scene model.

3. The method according to claim 2, wherein after constructing a spatial scene model corresponding to a space in which the cloud platform is located based on spatial scene data corresponding to the cloud platform, the method further comprises:

managing the spatial scene model;

wherein said managing said spatial scene model comprises:

Sorting attribute data corresponding to the space scene model based on a preset sorting rule;

performing format conversion on attribute data corresponding to the space scene model based on a preset format conversion rule;

inputting attribute data corresponding to the space scene model subjected to format conversion into the cloud platform;

and/or the number of the groups of groups,

classifying objects corresponding to the basic scene models;

and/or the number of the groups of groups,

binding equipment information of any hardware equipment in the at least one hardware equipment with a target object in objects corresponding to the basic scene models; the any hardware device is associated with the target object;

and/or the number of the groups of groups,

modifying model data corresponding to at least one basic scene model, and/or changing position distribution of each basic scene model, and/or updating the space scene model based on a new basic scene model, and/or changing a binding relation between the target object and equipment information of any hardware equipment, and/or establishing a binding relation between the target object and equipment information of the new hardware equipment.

4. A method according to claim 3, wherein after the acquisition of the target data information, the method further comprises:

Performing first processing on the target data information;

the first processing of the target data information includes:

determining spatiotemporal data included in the target data information; the space-time data comprises space-time static data and time dynamic space static data and space-time dynamic data; the spatiotemporal static data is used for characterizing data which is not changed with time and is not changed with space and is included in the first data information, the second data information and the third data; the time-dynamic spatial static data is used to characterize data that varies with time but not with spatial variations included in the first data information, the second data information, and the third data; the spatiotemporal dynamic data is used to characterize data comprised in the first, second and third data that varies over time and over space;

performing first pretreatment on the space-time data, and storing the space-time data subjected to the first pretreatment; the first preprocessing comprises the operations of reference unification, spatial indexing and coding on the space-time data;

Constructing a spatial topological relation between the preprocessed space-time data;

establishing a space-time data model based on the preprocessed space-time data to obtain standard space-time data; the space-time data model is used for representing the time dynamic space static data and the change trend of the space-time dynamic data which changes along with the time change;

the displaying, based on the first data information, a first interface corresponding to the first data information includes:

displaying a first interface corresponding to the first data information subjected to the first processing based on the first data information subjected to the first processing;

the displaying, based on the second data information, a second interface corresponding to the second data information includes:

displaying a second interface corresponding to the second data information subjected to the first process based on the second data information subjected to the first process;

the displaying, based on the third data information, a third interface corresponding to the third data information includes:

and displaying a third interface corresponding to the third data information subjected to the first processing based on the third data information subjected to the first processing.

5. The method of claim 4, wherein after the obtaining the target data information, the method further comprises:

performing second processing on the target data information;

the second processing of the target data information includes:

determining multi-source data included in the target data information;

performing second preprocessing on multi-source data included in the target data information; the second preprocessing includes classifying, format converting, cleaning and updating the multi-source data;

performing aggregation processing on the multi-source data subjected to the second preprocessing based on at least one preset statistical dimension;

displaying a first interface corresponding to the first data information subjected to the second process based on the first data information subjected to the second process;

displaying a second interface corresponding to the second data information subjected to the second processing based on the second data information subjected to the second processing;

and displaying a third interface corresponding to the third data information subjected to the second processing based on the third data information subjected to the second processing.

6. The method of claim 5, wherein the interface corresponding to the target data information includes a base effects component and a preset additional effects component; and displaying an interface corresponding to the target data information based on the target data information under the condition that the target instruction input by the user is detected, and further comprising:

establishing a first layer; the first layer is a blank layer;

loading and displaying the basic effect component in the first layer based on the target data information and layer data associated with the target data information; the basic effect component is used for presenting data associated with the target data information in an interface corresponding to the target data information;

loading and displaying the additional effect component in the first layer; the additional effect component is used for enhancing the display effect of the data in the interface corresponding to the target data information.

7. The method of claim 6, wherein the displaying the location distribution of the at least one hardware device in the space in which the cloud platform is located comprises:

displaying the cloud platform comprising the at least one hardware device, each business unit corresponding to the cloud platform, and position distribution among space stations corresponding to the cloud platform; and/or the number of the groups of groups,

displaying a position distribution of the cloud platform including the at least one hardware device relative to a preset map.

8. The method according to claim 7, wherein, in the case that a target instruction input by a user is detected, displaying an interface corresponding to the target data information based on the target data information, or displaying a position distribution of the at least one hardware device in a space where the cloud platform is located based on the spatial scene model, or displaying an interface corresponding to index data of the target dimension based on the index data of the target dimension, further comprises:

displaying an initial interface; the initial interface comprises item controls for displaying the position distribution of the at least one hardware device in the space where the cloud platform is located, an interface corresponding to index data for displaying the target dimension in a jumping manner, the item controls for displaying the first interface in a jumping manner, the item controls for displaying the second interface in a jumping manner and the item controls for displaying the third interface in a jumping manner;

Receiving clicking operation of any item control input by a user;

responding to the clicking operation, and requesting to acquire the target data information for displaying the corresponding interface from the data interface of the item control corresponding to the clicking operation;

if the request fails, generating alarm information for prompting the failure of the request;

and if the request is successful, displaying an interface associated with the item control corresponding to the clicking operation.

9. A system for cloud platform and on-cloud business operation monitoring visualization, comprising:

an infrastructure layer comprising at least one hardware device; the at least one hardware device is configured to support the system operation;

the digital platform layer is used for creating an overall situation module, a resource monitoring module, a data monitoring module and a service monitoring module; the resource monitoring module is used for acquiring and processing first data information, wherein the first data information comprises at least one of operation parameters of the at least one hardware device, device information of the at least one hardware device and environment parameters of an environment where the at least one hardware device is located; the data monitoring module is used for acquiring and processing second data information, and the second data information comprises interaction information of at least one service unit interacting with the cloud platform; the interaction information comprises data information corresponding to data uploaded to the cloud platform by the at least one service unit and/or data information corresponding to data downloaded by the at least one service unit on the cloud platform; at least one cloud service is operated on the cloud platform, and each cloud service corresponds to at least one service unit; the business units interact with the cloud platform through the corresponding cloud business; the service monitoring module is configured to acquire and process third data information, where the third data information includes call information of the at least one cloud service on the at least one hardware device, alarm information corresponding to the at least one cloud service, and data flow information corresponding to the at least one cloud service; the alarm information is used for representing abnormal operation of the corresponding cloud service; the data flow information comprises monitoring data acquired at a preset calling interface; the overall situation module is used for carrying out statistical processing on the target data information in a target dimension to obtain index data corresponding to the target dimension;

The service layer is used for constructing a space scene model corresponding to the space where the cloud platform is located based on the space scene data corresponding to the cloud platform; the spatial scene model is used for representing the position information of the at least one hardware device; and generating a visualization model for displaying an interface associated with the corresponding data information based on at least one of the first data information, the second data information, and the third data information;

an application layer for providing a function of displaying a position distribution of the at least one hardware device in a space where the cloud platform is located based on the overall situation module; and/or a function for providing an interface corresponding to the index data of the target dimension based on the overall situation module; and/or, a function for providing a first interface corresponding to the first data information based on the resource monitoring module; and/or a function for providing a second interface corresponding to the second data information based on the data monitoring module; and/or a function for providing a third interface corresponding to the third data information based on the service monitoring module;

The display layer is used for displaying an interface corresponding to the target data information based on the target data information under the condition that a target instruction input by a user is detected, or displaying the position distribution of the at least one hardware device in the space where the cloud platform is located based on the space scene model; or displaying an interface corresponding to the index data of the target dimension based on the index data of the target dimension;

wherein, the show layer is also used for:

displaying the position distribution of the at least one hardware device in the space where the cloud platform is located based on the space scene model under the condition that the target instruction is detected to be a first instruction;

displaying the first interface based on the first data information under the condition that the target instruction is detected to be a third instruction;

displaying the second interface based on the second data information under the condition that the target instruction is detected to be a fourth instruction;

And displaying the third interface based on the third data information under the condition that the target instruction is detected to be a fifth instruction.

10. An electronic device, comprising: a processor, a memory and a display screen, the memory and the display screen being coupled to the processor, the memory being for storing computer program code, the computer program code comprising computer instructions which, when read from the memory by the processor, cause the electronic device to perform the method of any of claims 1-8.