CN111798096A - Visual analysis method, system and storage medium based on power grid dispatching data - Google Patents
Visual analysis method, system and storage medium based on power grid dispatching data Download PDFInfo
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Abstract
The invention provides a visual analysis method, a system and a storage medium based on power grid dispatching data, which comprises the following steps: s101, collecting multi-source heterogeneous data of equipment in a power grid dispatching center machine room and classifying the data; s102, respectively constructing a visual model for the classified data; s103, calling a corresponding visualization model according to the instruction of the user, and performing visualization display; the invention helps a user to understand a power grid dispatching data center from multiple angles, visually displays the machine room integration from the aspects of equipment running state, equipment scale, real-time monitoring, real-time observation, real-time analysis, real-time control and the like, and realizes a man-machine interaction platform with flexible layout.
Description
Technical Field
The invention belongs to the technical field of visual analysis, and particularly relates to a visual analysis method, a visual analysis system and a storage medium based on power grid dispatching data.
Background
Visual analysis is an emerging interdisciplinary subject, a comprehensive problem-solving thinking mode is formed by combining visualization, human-computer interaction and a data mining algorithm, people are placed in an analysis loop, the method is not biased to simple data mining or to pure visualization aiming at presentation, human-computer cooperation is used for completing analysis tasks, and the basis and means for making decisions by people are visual analysis. In recent years, with the rapid development of the scale of a power grid, the corresponding automation machine room system and the data network are increasingly huge in scale, more and more system nodes are provided, more and more machine room devices are provided, and more service manufacturers are provided. At present, a national power grid company is organizing relevant units to research and develop a power grid dispatching data center information machine room support system, and a visual analysis technology is one of key technologies. In general, the visualization technology of the dispatching data center is currently in the stage of SCADA/EMS data visualization application, and the requirement of the application of the visual analysis technology in the dispatching data center of the power grid is urgent.
Disclosure of Invention
The invention overcomes the defects of the prior art, and solves the technical problems that: the visual analysis method, the visual analysis system and the visual analysis storage medium based on the power grid dispatching data can visually display the dispatching data of the power grid dispatching center and facilitate the cognition of a user on the dispatching data.
In order to solve the technical problems, the invention adopts the technical scheme that: a visual analysis method based on power grid dispatching data comprises the following steps: s101, collecting multi-source heterogeneous data of equipment in a power grid dispatching center machine room and classifying the data; s102, respectively constructing a visual model for the classified data; s103, calling a corresponding visualization model according to the instruction of the user, and performing visualization display.
Preferably, the visual analysis method based on the power grid dispatching data further includes: a user displays an interaction layer self-service configuration data query and dynamically feeds back interaction data to a data storage layer; and storing the data acquired by the data acquisition layer and the data of the interaction between the user and the presentation interaction layer.
Preferably, the acquiring and classifying multi-source heterogeneous data of the equipment in the machine room of the power grid dispatching center includes: the method comprises the steps that a CPU, a server, a switch and a router in a machine room are used as network nodes, and data transmitted by each network node and configuration information and running state data of each device in the machine room are collected; cleaning the acquired data, and deleting abnormal data; formatting the cleaned data, and forming the same equipment names of a scheduling system on a model, a code, a storage and an interface by implementing the unified naming standard of the operation and maintenance data of the information machine room and combining a multi-source heterogeneous data mapping strategy to realize a visual data integration system; classifying according to the resource attribute of the data; the resource attributes include the type and display mode of the data.
Preferably, the invoking a corresponding visualization model according to the instruction of the user and performing visualization display includes: dynamically displaying the visual model; identifying terms of equipment in the information machine room, and interacting with a user; and intelligently drawing the specification of the equipment in the machine room of the power grid dispatching center.
Accordingly, a visual analysis system based on power grid dispatching data comprises: a data acquisition layer: the system is used for collecting multi-source heterogeneous data of equipment in a machine room of a power grid dispatching center and classifying the data; a model building layer: the visual models are respectively constructed for the classified data; visualization display layer: and calling the corresponding visual model according to the instruction of the user, and performing visual display.
Preferably, the visual analysis method and system based on the power grid dispatching data further include: presenting an interaction layer: a user displays an interaction layer self-service configuration data query and dynamically feeds back interaction data to a data storage layer; a data storage layer: the data acquisition layer is used for acquiring data and displaying interaction data of the interaction layer.
Preferably, the data acquisition layer comprises: a collecting unit: the method comprises the steps that a CPU, a server, a switch and a router in a machine room are used as network nodes, and data transmitted by each network node and configuration information and running state data of each device in the machine room are collected; a pretreatment unit: the data processing device is used for cleaning the acquired data and deleting abnormal data; a data integration unit: the system is used for formatting the cleaned data, forming the same equipment names of the scheduling system on a model, a code, a storage and an interface by implementing the unified naming specification of the operation and maintenance data of the information machine room and combining a multi-source heterogeneous data mapping strategy, and realizing a visual data integration system; a data classification unit: classifying according to the resource attribute of the data; the resource attributes include the type and display mode of the data.
Preferably, the visualization presentation layer includes: visual component development unit: the visualization model is used for dynamically showing; a language interaction unit: the system is used for identifying information machine room equipment terms and interacting with users; a picture drawing unit: the intelligent drawing method is used for intelligently drawing the specifications of equipment in a machine room of the power grid dispatching center.
The present invention provides a computer readable storage medium having stored thereon a computer program programmed or configured with the visual analysis method based on grid scheduling data as described above.
The invention has the beneficial technical effects that:
the invention provides a visual analysis method, a system and a storage medium based on power grid dispatching data, which comprises the steps of collecting multi-source heterogeneous data of equipment in a machine room of a power grid dispatching center, classifying according to different types, respectively constructing visual models for the classified data, and calling the corresponding visual models and carrying out visual display when a user views the data through a browser; the invention helps a user to understand a power grid dispatching data center from multiple angles, and visually displays the machine room integration from the aspects of equipment running state, equipment scale, real-time monitoring, real-time observation, real-time analysis, real-time control and the like, thereby realizing a man-machine interaction platform with flexible layout.
Drawings
Fig. 1 is a schematic flowchart of a visual analysis method based on power grid scheduling data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to a fourth embodiment of the present invention;
in the figure: the system comprises a data acquisition layer 1, an acquisition unit 11, a preprocessing unit 12, a data integration unit 13, a data classification unit 14, a model construction layer 2, a visual display layer 3, a visual component development unit 31, a language interaction unit 32, a picture drawing unit 33, a display interaction layer 4 and a data storage layer 5.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention; all other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flowchart of a visual analysis method based on power grid scheduling data according to an embodiment of the present invention, and as shown in fig. 1, a visual analysis method based on power grid scheduling data includes:
s101, collecting multi-source heterogeneous data of equipment in a power grid dispatching center machine room and classifying the data;
s102, respectively constructing a visual model for the classified data;
s103, calling a corresponding visualization model according to the instruction of the user, and performing visualization display.
The method is simple and easy to implement, high in system compatibility, high in intelligence degree and strong in engineering practicability, real-time interaction visualization is achieved through linkage of multiple views, and accordingly cognitive burden of users is reduced.
The invention relates to Web visual application built based on a flash, wherein the flash is a lightweight Web application program frame compiled by python, the flash is simple and easy to use, open source components of a third party are very abundant, a system adopts a B/S mode, server-side software uses Apache, a neutralization data file in an experiment is deployed at an Apache server side, a browser selected by a client side is Chrome, and a user can be connected to the system and link a database in real time only by accessing through the browser.
Further, the visual analysis method based on the power grid dispatching data further includes: a user displays an interaction layer self-service configuration data query and dynamically feeds back interaction data to a data storage layer; and storing the data acquired by the data acquisition layer and the data of the interaction between the user and the presentation interaction layer.
Specifically, the editor adopts a visual graphical editing interface, so that a user can adjust the page layout according to the visible and acquired effect when using the editor, and the defect that the effect can be checked only when running during the previous development is overcome. The method comprises the steps of initializing all component libraries used by a system during the startup of an editor, caching the component libraries in a memory as resources, creating a component list, loading interface information and data when the system is loaded for the first time when a page is displayed, caching the interface information in a user temporary folder after the first loading, and only loading data information when a user request of the same page in later system operation does not load the interface information any more, thereby greatly improving the loading efficiency and improving the user experience.
Further, the multi-source heterogeneous data of the equipment in the power grid dispatching center machine room is collected and classified, and the method comprises the following steps: the method comprises the steps that a CPU, a server, a switch and a router in a machine room are used as network nodes, and data transmitted by each network node and configuration information and running state data of each device in the machine room are collected; cleaning the acquired data, and deleting abnormal data; formatting the cleaned data, and forming the same equipment names of a scheduling system on a model, a code, a storage and an interface by implementing the unified naming standard of the operation and maintenance data of the information machine room and combining a multi-source heterogeneous data mapping strategy to realize a visual data integration system; classifying according to the resource attribute of the data; the resource attributes include the type and display mode of the data.
Specifically, the data center is divided into corresponding nodes according to a CPU, a server, a switch and a router of the power grid dispatching data center, the nodes can be divided into day-ahead, real-time, early warning and the like according to an analysis target, and the nodes can be summarized into network structures, node data, line or branch data and the like according to a data display method; the real-time monitoring of equipment data of the machine room can be subdivided into various data such as real-time service interaction, real-time alarm analysis, rapid detection, real-time computer room CPU look-ahead and the like; the collected data are subjected to formatting treatment after being cleaned, unified naming specifications of operation and maintenance data of an information implementation machine room are formulated, and data access obstacles caused by inconsistent data models are eliminated by combining a model multi-source heterogeneous data mapping strategy, so that a visual data integration system is realized; by researching the resource attributes of the power grid object and selecting construction elements facing to visualization requirements, an integrated visualization full model such as a physical model and an information model facing to the full-service interaction of the power grid dispatching data center is constructed.
Further, the calling a corresponding visualization model according to the instruction of the user and performing visualization display includes: dynamically displaying the visual model; identifying terms of equipment in the information machine room, and interacting with a user; and intelligently drawing the specification of the equipment in the machine room of the power grid dispatching center.
Specifically, the dynamically presenting the visualization model includes: based on an object-oriented technology, the widget (wid-get) for the configuration of the graphic picture is realized, the widget tool box has good expandability, can form a new component and display the capability of the new data type and other aspects, and can expand various visual widgets including a GIS map, buttons, a dashboard, a table, a curve, a tree diagram and the like according to requirements. In the aspect of picture development, the small parts support a series of interactive technology visualization such as dragging, zooming, translation, folding and the like, and various visualized data display pictures can be customized and configured as required; in the embodiment, network data of a power grid dispatching data center is taken as an example for explanation, the network data of the power grid dispatching data center is visualized through a force-oriented layout algorithm, the basic idea of the force-oriented layout algorithm is that a graph is regarded as a physical system, each node has attraction and repulsion mutually, and moves around under the action of force until acting forces among all nodes reach a balanced state, the nodes stop moving, and the regional scaling of a node-link graph can be realized by changing weights of different edges; in the model, each node is regarded as a charge, repulsion force, namely coulomb force, exists between the charges, edges existing between the nodes are simulated as elastic force in Hooke's law, and the force applied between the nodes is close to balance by utilizing an optimization algorithm so as to achieve the purpose of diagram layout. Although the layout time of this algorithm is long, the change of the node positions in the layout process is smooth. The method comprises the following specific steps: firstly, the specific position of the node is determined by calculating the minimum value of the total energy E of the spring system, wherein E is as follows:
in the formula (1), puAnd pvAs the positions of nodes u and v, luvIs the ideal distance of the spring between nodes u and v, kuvIs the spring constant of the spring between nodes u and v, luvAnd kuvIs defined as follows:
luv＝L·d(u,v) (2)
in equations (2) and (3), L is the equilibrium distance between nodes, k is a constant, d (u, v) is the shortest path length between nodes u and v, i.e. the minimum number of edges passed from node u to node v, and L is defined as:
in the formula (4), w and h are the width and height of the drawing region.
During calculation, u and v of all nodes are calculated, and a shortest graph distance matrix [ d ] between the nodes is calculateduv]、luvCoefficient matrix luv]、kuvCoefficient matrix kuv]And the maximum offset max Δ in each node uu(ii) a Setting a displacement threshold theta in advance, and finding a node with the maximum offset as a moving node; let v satisfy Δv＝maxΔuThe mobile node of (2); when deltau>θ，xv＝xv+σx，yv＝yv+σy(ii) a Calculating the offset Δ of node vv(ii) a Calculating in each node uMaximum offset max Δu(ii) a In KK algorithm [ d ] is requireduv]、[luv]、[kuv]These three matrices, whose values are independent of the specific position p of the node, therefore need to be computed only once initially.
The development tool in the embodiment provides an offline data loading function, a project can directly read a local data file without requesting data of a remote server, the data loading by the method can reduce the request times to the server, the data loading efficiency can be greatly improved, and the probability of errors caused by the influence of network environment is correspondingly reduced due to the reduction of the request times to the server, so that the stability of the system is improved.
The information machine room equipment term is recognized and interacted with a user, and the information machine room equipment term is specialized, so that a good condition is created for the application of a voice recognition technology.
The specification of the equipment in the machine room of the power grid dispatching center is intelligently drawn, the graph drawing tool can intelligently draw according to the plug-in D3, and the specification data of the equipment in the information machine room of the power grid dispatching data center in the database is used for drawing.
In the embodiment, the power grid dispatching data center real-time monitoring visualization is based on different visual angles such as power grid dispatching data center information machine room visualization operation and maintenance, real-time monitoring, alarming and monitoring, comprehensive summary of machine room equipment is provided through interactive visualization in quantitative and qualitative aspects, various power grid dispatching data centers with relevance are reasonably organized, a friendly and visual interface is provided, help is provided for machine room managers to reasonably deal with problems occurring in the operation period of an information machine room, and the method mainly comprises machine room equipment real-time monitoring normalization expression, real-time observation visualization, real-time analysis visualization, real-time control visualization, early warning and auxiliary decision visualization, asset visualization, inspection visualization, full-service interaction visualization, network architecture flow visualization and the like.
Fig. 2 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to an embodiment of the present invention, and as shown in fig. 2, a visual analysis system based on power grid scheduling data includes:
data acquisition layer 1: the system is used for collecting multi-source heterogeneous data of equipment in a machine room of a power grid dispatching center and classifying the data;
model building layer 2: the visual models are respectively constructed for the classified data;
visualization presentation layer 3: and calling the corresponding visual model according to the instruction of the user, and performing visual display.
Specifically, the data acquisition layer 1 acquires multi-source heterogeneous data of equipment in a machine room of the power grid dispatching center and classifies the data, the model construction layer 2 respectively constructs visual models for the classified data, and the visual display layer 3 calls corresponding visual models according to instructions of users and performs visual display; the implementation helps a user to understand a power grid dispatching data center from multiple angles, and the machine room is integrally and visually displayed from the aspects of equipment running state, equipment scale, real-time monitoring, real-time observation, real-time analysis, real-time control and the like, so that a man-machine interaction platform with flexible layout is realized.
Fig. 3 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to a second embodiment of the present invention, as shown in fig. 3, on the basis of the first embodiment, the system further includes:
presentation interaction layer 4: a user displays an interaction layer self-service configuration data query and dynamically feeds back interaction data to a data storage layer;
the data storage layer 5: the data acquisition layer is used for acquiring data and displaying interaction data of the interaction layer.
Specifically, the presentation interaction layer 4 provides a panoramic view and a visual management interface of the power grid, provides a complete solution for scheduling the integration requirements of cooperation, function module integration, information sharing, cross-professional comprehensive application and the like of each professional system, and greatly improves the convenience and transparency of maintenance of each professional system; the data storage layer 5 stores the data collected by the data collection layer and the data of interaction between the user and the presentation interaction layer in a database, so that the operation efficiency of the system is improved.
Fig. 4 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to a third embodiment of the present invention, as shown in fig. 4, on the basis of the second embodiment, the data acquisition layer 1 includes:
the acquisition unit 11: the method comprises the steps that a CPU, a server, a switch and a router in a machine room are used as network nodes, and data transmitted by each network node and configuration information and running state data of each device in the machine room are collected;
the preprocessing unit 12: the data processing device is used for cleaning the acquired data and deleting abnormal data;
the data integration unit 13: the system is used for formatting the cleaned data, forming the same equipment names of the scheduling system on a model, a code, a storage and an interface by implementing the unified naming specification of the operation and maintenance data of the information machine room and combining a multi-source heterogeneous data mapping strategy, and realizing a visual data integration system;
the data classification unit 14: classifying according to the resource attribute of the data; the resource attributes include the type and display mode of the data.
Specifically, a CPU, a server, a switch, and a router of the data center are divided into corresponding nodes according to a power grid scheduling, the acquisition unit 11 acquires data transmitted by each network node and configuration information and operating state data of each device in a machine room, and can be divided into day-ahead, real-time, and early warning according to an analysis target, and can be summarized into a network structure, node data, line or branch data, and the like according to a data display method; the preprocessing unit 12 cleans the acquired data and deletes abnormal data, the data integration unit 13 eliminates data access obstacles caused by inconsistent data models by formulating a unified naming standard of operation and maintenance data of an information implementation machine room and combining a model multi-source heterogeneous data mapping strategy to realize a visual data integration system, and the data classification unit 14 classifies the data according to the resource attributes of the data; therefore, an integrated visual full model such as a physical model and an information model facing the full-service interaction of the power grid dispatching data center is constructed.
Fig. 5 is a schematic structural diagram of a visual analysis system based on power grid scheduling data according to a fourth embodiment of the present invention, as shown in fig. 5, on the basis of the third embodiment, the visual presentation layer 3 includes:
visual component development unit 31: the visualization model is used for dynamically showing;
the language interaction unit 32: the system is used for identifying information machine room equipment terms and interacting with users;
the picture drawing unit 33: the intelligent drawing method is used for intelligently drawing the specifications of equipment in a machine room of the power grid dispatching center.
Specifically, the visual component development unit 31 implements widgets (wid-gets) for the configuration of the graphic screen based on the object-oriented technology, and the component toolbox has good expandability, can form new components and display the capabilities of new data types and the like, and can expand various visual widgets including GIS maps, buttons, dashboards, tables, curves, dendrograms and the like according to requirements. In the aspect of picture development, the small parts support a series of interactive technology visualization such as dragging, zooming, translation, folding and the like, and various visualized data display pictures can be customized and configured as required; the language interaction unit 32 extends the visualization concept of the information machine room equipment of the power grid dispatching data center to a voice technology, and realizes calling, analysis and management of integrated information and pictures of the machine room based on voice recognition, wherein the voice technology comprises a voice synthesis technology and a voice recognition technology, and the functions of mouth and ear are utilized, so that the visualization is generalized; the picture drawing unit 33 can intelligently draw the specification of equipment in the power grid dispatching center machine room, the graph drawing tool can intelligently draw according to the plug-in D3, and the specification data of the power grid dispatching data center information machine room equipment in the database is used for drawing.
In this embodiment, the operation data of the equipment in the machine room is correspondingly associated with the visual model of the equipment, so that the operation state change data of the equipment can be visually displayed on the visual model, and whether the equipment is abnormal can be visually judged, the abnormal operation condition of the equipment can be timely and visually controlled, and the operation and maintenance cost of the equipment is further reduced.
The invention also provides a computer device programmed or configured with the steps of the above-described visual analysis method based on grid dispatching data.
The present invention also provides a computer readable storage medium having stored thereon a computer program programmed or configured with the visual analysis method based on grid dispatch data as described above.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A visual analysis method based on power grid dispatching data is characterized in that: the method comprises the following steps:
s101, collecting multi-source heterogeneous data of equipment in a power grid dispatching center machine room and classifying the data;
s102, respectively constructing a visual model for the classified data;
s103, calling a corresponding visualization model according to the instruction of the user, and performing visualization display.
2. The visual analysis method based on the power grid dispatching data as claimed in claim 1, wherein: further comprising:
a user displays an interaction layer self-service configuration data query and dynamically feeds back interaction data to a data storage layer;
and storing the data acquired by the data acquisition layer and the data of the interaction between the user and the presentation interaction layer.
3. The visual analysis method based on the power grid dispatching data as claimed in claim 1, wherein: gather the heterogeneous data of multisource of equipment in the electric wire netting dispatch center computer lab, and classify, include:
the method comprises the steps that a CPU, a server, a switch and a router in a machine room are used as network nodes, and data transmitted by each network node and configuration information and running state data of each device in the machine room are collected;
cleaning the acquired data, and deleting abnormal data;
formatting the cleaned data, and forming the same equipment names of a scheduling system on a model, a code, a storage and an interface by implementing the unified naming standard of the operation and maintenance data of the information machine room and combining a multi-source heterogeneous data mapping strategy to realize a visual data integration system;
classifying according to the resource attribute of the data; the resource attributes include the type and display mode of the data.
4. The visual analysis method based on the power grid dispatching data as claimed in claim 1, wherein: the calling of the corresponding visualization model according to the instruction of the user and the visualization display comprise:
dynamically displaying the visual model;
identifying terms of equipment in the information machine room, and interacting with a user;
and intelligently drawing the specification of the equipment in the machine room of the power grid dispatching center.
5. A visual analytic system based on electric wire netting dispatch data which characterized in that: the method comprises the following steps:
a data acquisition layer: the system is used for collecting multi-source heterogeneous data of equipment in a machine room of a power grid dispatching center and classifying the data;
a model building layer: the visual models are respectively constructed for the classified data;
visualization display layer: and calling the corresponding visual model according to the instruction of the user, and performing visual display.
6. The visual analysis method and system based on power grid dispatching data according to claim 5, wherein: further comprising:
presenting an interaction layer: a user displays an interaction layer self-service configuration data query and dynamically feeds back interaction data to a data storage layer;
a data storage layer: the data acquisition layer is used for acquiring data and displaying interaction data of the interaction layer.
7. The visual analysis method and system based on power grid dispatching data according to claim 5, wherein: the data acquisition layer comprises:
a collecting unit: the method comprises the steps that a CPU, a server, a switch and a router in a machine room are used as network nodes, and data transmitted by each network node and configuration information and running state data of each device in the machine room are collected;
a pretreatment unit: the data processing device is used for cleaning the acquired data and deleting abnormal data;
a data integration unit: the system is used for formatting the cleaned data, forming the same equipment names of the scheduling system on a model, a code, a storage and an interface by implementing the unified naming specification of the operation and maintenance data of the information machine room and combining a multi-source heterogeneous data mapping strategy, and realizing a visual data integration system;
a data classification unit: classifying according to the resource attribute of the data; the resource attributes include the type and display mode of the data.
8. The visual analysis method and system based on power grid dispatching data according to claim 5, wherein: the visualization presentation layer includes:
visual component development unit: the visualization model is used for dynamically showing;
a language interaction unit: the system is used for identifying information machine room equipment terms and interacting with users;
a picture drawing unit: the intelligent drawing method is used for intelligently drawing the specifications of equipment in a machine room of the power grid dispatching center.
9. A computer readable storage medium having stored thereon a computer program programmed or configured to perform the method for visual analysis of grid dispatch data based on grid dispatch data as claimed in any one of claims 1 to 4.
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