CN115757998A - Dynamic rendering method and device for power grid data - Google Patents
Dynamic rendering method and device for power grid data Download PDFInfo
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- CN115757998A CN115757998A CN202211296079.8A CN202211296079A CN115757998A CN 115757998 A CN115757998 A CN 115757998A CN 202211296079 A CN202211296079 A CN 202211296079A CN 115757998 A CN115757998 A CN 115757998A
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Abstract
The invention discloses a dynamic rendering method and a dynamic rendering device for power grid data, which are applied to a server, and the method comprises the following steps: s1, responding to a connection request of WebSocket sent by a client, and establishing bidirectional connection with the client; s2, obtaining the latest power grid model data and real-time equipment state data from the client; s3, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with a data increment condition; s4, sending the target newly added data to the client according to a preset data structure; the target newly-added data is locally rendered at the client; s5, judging whether the client breaks the bidirectional connection; if not, the procedure returns to step S3. Therefore, the data calculation amount of the client is reduced, multiple wireless refreshing rendering of the view is avoided, the slow rendering and pause phenomenon of the view are solved, and the memory pressure of the client is reduced.
Description
Technical Field
The invention relates to the technical field of power grid data graphic display technology, in particular to a dynamic rendering method and device for power grid data.
Background
Most of the power grid data display at the present stage is static paper display, and the dynamic change process of the power grid data can not be displayed, so that the method has important significance in dynamically rendering the power grid data.
The dynamic view rendering and real-time data acquisition are established on the basis of long connection between a client and a server, and the current long connection between the client and the server mainly comprises polling, long polling, iframe long connection and the like. Polling means that the client initiates a request to the server at intervals, and since most of the initiated requests are not responded, the connection method wastes bandwidth and server resources; the long polling and iframe long connection can reduce the requests of the client and reduce the invalid network transmission, but can cause the excessive resource consumption of the server.
Disclosure of Invention
The invention provides a dynamic rendering method and device for power grid data, which are used for reducing the data operand of a client, solving the problems of slow view rendering and pause phenomenon and further reducing the memory pressure of the client.
In a first aspect, the present invention provides a method for dynamically rendering power grid data, which is applied to a server, and includes the steps of:
s1, responding to a WebSocket connection request sent by a client, and establishing bidirectional connection with the client;
s2, obtaining the latest power grid model data and real-time equipment state data from the client;
s3, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with a data increment condition;
s4, sending the target newly added data to the client according to a preset data structure; the target newly-added data is locally rendered at the client;
s5, judging whether the client breaks the bidirectional connection; if not, the step S3 is returned to.
Optionally, the server is configured with a timing acquisition module and a timer; the step S2 includes:
s21, acquiring the latest power grid model data from a model database through the timing acquisition module;
and S22, acquiring real-time equipment state data from the client through a timer.
Optionally, the server is configured with an incremental filtering caching module and a caching module; the step S3 includes:
s31, judging whether an increment data cache exists in the increment filtering cache module; if not, executing step S32; if yes, go to step S33;
s32, determining gap data between the latest power grid model data and the real-time equipment state data, defining the gap data as the target new data, and writing the target new data into the cache module;
s33, determining newly added data between the real-time state data and the incremental data cache, defining the newly added data as the target newly added data, writing the target newly added data into the cache module, and deleting the incremental data cache.
Optionally, after the step S3, the method further includes:
and receiving a screening condition sent by the client, and filtering the target newly-added data according to the screening condition.
In a second aspect, the present invention further provides a device for dynamically rendering grid data, which is applied to a server, and the device includes:
the response module is used for responding to a connection request of the WebSocket sent by the client and establishing bidirectional connection with the client;
the acquisition module is used for acquiring the latest power grid model data and the real-time equipment state data from the client;
the target newly-added data determining module is used for determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with the data increment condition;
the sending module is used for sending the target new data to the client according to a preset data structure; the target newly-added data is locally rendered at the client;
the judging module is used for judging whether the client side disconnects the bidirectional connection; and if not, returning to execute the target newly added data determining module.
Optionally, the server is configured with a timing acquisition module and a timer; the acquisition module includes:
the first acquisition submodule is used for acquiring the latest power grid model data from the model database through the timing acquisition module;
and the second obtaining submodule is used for obtaining the real-time equipment state data from the client through the timer.
Optionally, the server is configured with an incremental filtering cache module and a cache module; the target new data determination module comprises:
the judgment submodule is used for judging whether the increment filtering cache module has an increment data cache; if not, executing a first writing sub-module; if yes, executing a second writing sub-module;
the first writing sub-module is configured to determine gap data between the latest power grid model data and the real-time device status data, define the gap data as the target new data, and write the target new data into the cache module;
and the second write-in submodule is used for determining newly added data between the real-time state data and the incremental data cache, defining the newly added data as the target newly added data, writing the target newly added data into the cache module, and deleting the incremental data cache.
Optionally, the method further comprises:
and the screening module is used for receiving the screening conditions sent by the client and filtering the target newly-added data according to the screening conditions.
A third aspect of the application provides an electronic device comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the dynamic rendering method for grid data according to the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium for storing program code for executing the method for dynamically rendering power grid data according to the first aspect.
According to the technical scheme, the invention has the following advantages:
the invention discloses a dynamic rendering method of power grid data, which is applied to a server and comprises the following steps: s1, responding to a WebSocket connection request sent by a client, and establishing bidirectional connection with the client; s2, obtaining the latest power grid model data and real-time equipment state data from the client; s3, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and by combining the data increment condition; s4, sending the target newly added data to the client according to a preset data structure; the target newly added data is locally rendered at the client; s5, judging whether the client breaks the bidirectional connection; if not, the procedure returns to step S3. The target new data is locally rendered through a long connection mode of the client and the server of the WebSocket and a preset data structure, so that the data calculation amount of the client is reduced, multiple wireless refreshing rendering of the view is avoided, the slow rendering and the pause phenomenon of the view are solved, and the memory pressure of the client is reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts;
fig. 1 is a flowchart illustrating steps of a first embodiment of a method for dynamically rendering grid data according to the present invention;
FIG. 2 is a flowchart illustrating steps of a second embodiment of a method for dynamically rendering grid data according to the present invention;
fig. 3 is a block diagram of a dynamic rendering apparatus for grid data according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a dynamic rendering method and device for power grid data, which are used for reducing the data calculation amount of a client, solving the problems of slow view rendering and pause phenomenon and further reducing the memory pressure of the client.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, fig. 1 is a flowchart illustrating a first step of a dynamic rendering method of grid data according to an embodiment of the present invention, which is applied to a server, and specifically includes the following steps:
s1, responding to a connection request of WebSocket sent by a client, and establishing bidirectional connection with the client;
s2, obtaining the latest power grid model data and real-time equipment state data from the client;
s3, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with a data increment condition;
s4, sending the target newly added data to the client according to a preset data structure; the target newly-added data is locally rendered at the client;
s5, judging whether the client breaks the bidirectional connection; if not, the procedure returns to step S3.
The embodiment of the invention responds to a WebSocket connection request sent by a client through S1 and establishes bidirectional connection with the client; s2, obtaining the latest power grid model data and real-time equipment state data from the client; s3, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with a data increment condition; s4, sending the target newly added data to the client according to a preset data structure; the target newly-added data is locally rendered at the client; s5, judging whether the client breaks the bidirectional connection; if not, the procedure returns to step S3. The target new data is locally rendered through a long connection mode of the client and the server of the WebSocket and a preset data structure, so that the data calculation amount of the client is reduced, multiple wireless refreshing rendering of the view is avoided, the slow rendering and the pause phenomenon of the view are solved, and the memory pressure of the client is reduced.
Referring to fig. 2, a flowchart of a second step of the dynamic rendering method for grid data according to the embodiment of the present invention is applied to a server, where the server includes: the server is provided with a timing acquisition module, a timer, an increment filtering cache module and a cache module, and the method specifically comprises the following steps:
step S201, responding to a WebSocket connection request sent by a client, and establishing bidirectional connection with the client;
it should be noted that WebSocket is a protocol for performing full-duplex communication on a single TCP connection. The WebSocket communication protocol was specified by the IETF as standard RFC 6455 in 2011 and is supplemented by RFC 7936. The WebSocket API is also standardized by W3C. The WebSocket can enable data exchange between the client and the server to be simpler, and allow the server to actively push data to the client.
In the embodiment of the invention, the WebSocket is adopted to realize the bidirectional communication between the client and the server, once the connection is established, the client and the server can bidirectionally transmit data through the channel until one of the client or the server actively closes the connection, and the mode effectively reduces unnecessary requests and resource consumption.
In specific implementation, java language is used as middleware, http service in java and technologies such as interface springmvc are conveniently used.
Step S202, acquiring the latest power grid model data from a model database through the timing acquisition module;
step S203, acquiring real-time equipment state data from the client through a timer;
in the embodiment of the invention, after receiving the connection request, the server side acquires the latest power grid model data through the timing acquisition module and starts the timer to acquire the real-time equipment state data of the full-area mode diagram of the power grid data.
It should be noted that the power grid big data includes data based on a CIM model and power grid operation section data; the data volume is huge and complex based on real-time data, historical data and the like of a power grid Operation Management System (OMS), a scheduling intelligent command platform (DICP) and a power grid operation monitoring system (OCS). The whole area mode diagram refers to a local dispatching whole network mode diagram in the embodiment of the invention, and comprises a power grid net rack operation mode formed by lines, substations and power plants with the voltage class of 110 kilovolts to 500 kilovolts within the local dispatching administration range and relevant equipment with the voltage class of 10 kilovolts to 500 kilovolts in the local dispatching whole network.
Step S204, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with a data increment condition;
in an alternative embodiment, the step S204 includes:
judging whether an increment data cache exists in the increment filtering cache module; if not, determining gap data between the latest power grid model data and the real-time equipment state data, defining the gap data as the target new data, and writing the target new data into the cache module; if yes, determining newly added data between the real-time state data and the incremental data cache, defining the newly added data as the target newly added data, writing the target newly added data into the cache module, and deleting the incremental data cache.
In the embodiment of the invention, the server side judges whether the increment filtering cache module has increment data cache, if not, the difference data comparing the latest power grid model data with the real-time equipment state is written into the cache module; and if the incremental data exists, comparing the real-time equipment state data with the cache data to obtain newly added data, updating the newly added data to the cache module, and deleting the incremental data.
Step S205, receiving the screening condition sent by the client, and filtering the target newly-added data according to the screening condition;
in the embodiment of the invention, the target newly added data is filtered according to the screening condition transmitted by the client in the two-way traffic.
Step S206, sending the target new data to the client according to a preset data structure; the target newly added data is locally rendered at the client;
in the embodiment of the present invention, the preset data structure is an { add, update, delete } data structure, and the client may perform view local incremental rendering according to the received target additional data. The { add, update, delete } data structure is a data structure returned in increment, and the newly added, updated and deleted data are obtained and returned by comparing the data pushed last time, so that the data return amount is greatly reduced, the data operation of a client is effectively reduced, the frequent refreshing of a view is avoided, the pressure of a browser is reduced, and the phenomena of slow rendering and pause of the view are solved.
Step S207, judging whether the client breaks the bidirectional connection; if not, the process returns to step S204.
In the embodiment of the present invention, the timer acquires the real-time device status data and then executes S204 to S207 in a loop until the client actively disconnects the bidirectional communication channel.
The dynamic rendering method of the power grid data provided by the embodiment of the invention is applied to a server, and comprises the following steps: s1, responding to a connection request of WebSocket sent by a client, and establishing bidirectional connection with the client; s2, obtaining the latest power grid model data and real-time equipment state data from the client; s3, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with a data increment condition; s4, sending the target newly added data to the client according to a preset data structure; the target newly-added data is locally rendered at the client; s5, judging whether the client breaks the bidirectional connection; if not, the procedure returns to step S3. The target new data is locally rendered through a long connection mode of the client and the server of the WebSocket and a preset data structure, so that the data calculation amount of the client is reduced, multiple wireless refreshing rendering of the view is avoided, the slow rendering and the pause phenomenon of the view are solved, and the memory pressure of the client is reduced.
Referring to fig. 3, a block diagram of an embodiment of a dynamic rendering apparatus for grid data is shown, applied to a server, and the apparatus includes:
the response module 301 is configured to respond to a WebSocket connection request sent by a client, and establish a bidirectional connection with the client;
an obtaining module 302, configured to obtain latest power grid model data and real-time device status data from the client;
a target new data determination module 303, configured to determine target new data according to the latest power grid surface model data and the real-time device state data, in combination with a data increment condition;
a sending module 304, configured to send the target new data to the client according to a preset data structure; the target newly-added data is locally rendered at the client;
a determining module 305, configured to determine whether the client disconnects the bidirectional connection; and if not, returning to execute the target newly added data determining module.
In an optional embodiment, the server is configured with a timing acquisition module and a timer; the obtaining module 302 includes:
the first acquisition submodule is used for acquiring the latest power grid model data from the model database through the timing acquisition module;
and the second obtaining submodule is used for obtaining the real-time equipment state data from the client through the timer.
In an optional embodiment, the server is configured with an incremental filtering cache module and a cache module; the target new data determining module 303 includes:
the judgment sub-module is used for judging whether the increment filtering cache module has an increment data cache; if not, executing a first writing sub-module; if yes, executing a second writing sub-module;
the first writing sub-module is configured to determine gap data between the latest power grid model data and the real-time device status data, define the gap data as the target new data, and write the target new data into the cache module;
the second write-in submodule is used for determining newly added data between the real-time state data and the incremental data cache, defining the newly added data as the target newly added data, writing the target newly added data into the cache module, and deleting the incremental data cache.
In an optional embodiment, further comprising:
and the screening module is used for receiving the screening conditions sent by the client and filtering the target newly-added data according to the screening conditions.
The application also provides an electronic device, which comprises a processor and a memory;
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is configured to execute the dynamic rendering method of the power grid data in the above method embodiments according to instructions in the program code.
The present application further provides a computer-readable storage medium for storing program codes for executing the method for dynamically rendering power grid data in the above method embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical 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 application 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 application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method described in the embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device). And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A dynamic rendering method of power grid data is applied to a server and comprises the following steps:
s1, responding to a connection request of WebSocket sent by a client, and establishing bidirectional connection with the client;
s2, obtaining the latest power grid model data and real-time equipment state data from the client;
s3, determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with a data increment condition;
s4, sending the target newly added data to the client according to a preset data structure; the target newly-added data is locally rendered at the client;
s5, judging whether the client breaks the bidirectional connection; if not, the procedure returns to step S3.
2. The dynamic rendering method of grid data according to claim 1, wherein the server is configured with a timing acquisition module and a timer; the step S2 includes:
s21, acquiring the latest power grid model data from a model database through the timing acquisition module;
and S22, acquiring real-time equipment state data from the client through a timer.
3. The dynamic rendering method of grid data according to claim 2, wherein the server is configured with an incremental filtering cache module and a cache module; the step S3 includes:
s31, judging that an increment data cache exists in the increment filtering cache module; if not, executing step S32; if yes, go to step S33;
s32, determining gap data between the latest power grid model data and the real-time equipment state data, defining the gap data as the target new data, and writing the target new data into the cache module;
s33, determining newly added data between the real-time state data and the incremental data cache, defining the newly added data as the target newly added data, writing the target newly added data into the cache module, and deleting the incremental data cache.
4. The method for dynamically rendering grid data according to claim 3, wherein after the step S3, the method further comprises:
and receiving a screening condition sent by the client, and filtering the target newly-added data according to the screening condition.
5. The utility model provides a dynamic rendering device of electric wire netting data which is applied to the server, and the device includes:
the response module is used for responding to a connection request of the WebSocket sent by the client and establishing bidirectional connection with the client;
the acquisition module is used for acquiring the latest power grid model data and the real-time equipment state data from the client;
the target newly-added data determining module is used for determining target newly-added data according to the latest power grid surface model data and the real-time equipment state data and in combination with the data increment condition;
the sending module is used for sending the target new data to the client according to a preset data structure; the target newly-added data is locally rendered at the client;
the judging module is used for judging whether the client side disconnects the bidirectional connection; and if not, returning to execute the target newly added data determining module.
6. The dynamic rendering device of grid data according to claim 5, wherein the server is configured with a timing acquisition module and a timer; the acquisition module includes:
the first acquisition submodule is used for acquiring the latest power grid model data from the model database through the timing acquisition module;
and the second acquisition submodule is used for acquiring the real-time equipment state data from the client through the timer.
7. The dynamic rendering device of power grid data according to claim 6, wherein the server is configured with an incremental filtering cache module and a cache module; the target new data determination module comprises:
the judgment submodule is used for judging whether the increment filtering cache module has an increment data cache; if not, executing a first writing sub-module; if yes, executing a second writing sub-module;
the first writing sub-module is configured to determine gap data between the latest power grid model data and the real-time device status data, define the gap data as the target new data, and write the target new data into the cache module;
and the second write-in submodule is used for determining newly added data between the real-time state data and the incremental data cache, defining the newly added data as the target newly added data, writing the target newly added data into the cache module, and deleting the incremental data cache.
8. The apparatus for dynamically rendering grid data according to claim 7, further comprising:
and the screening module is used for receiving the screening conditions sent by the client and filtering the target newly-added data according to the screening conditions.
9. An electronic device comprising a processor and a memory, the memory storing computer readable instructions that, when executed by the processor, perform the method of any of claims 1-4.
10. A storage medium on which a computer program is stored, which computer program, when being executed by a processor, is adapted to carry out the method according to any one of claims 1-4.
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