CN111625517B - New energy real-time data processing method and device based on change storage - Google Patents

New energy real-time data processing method and device based on change storage Download PDF

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CN111625517B
CN111625517B CN202010358003.8A CN202010358003A CN111625517B CN 111625517 B CN111625517 B CN 111625517B CN 202010358003 A CN202010358003 A CN 202010358003A CN 111625517 B CN111625517 B CN 111625517B
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new energy
time
real
data
time data
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CN111625517A (en
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王家坤
周庆捷
仇向东
付龙明
李帅奇
王顺成
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BEIJING JOIN BRIGHT DIGITAL POWER TECHNOLOGY CO LTD
Shandong Guohua Times Investment Development Co ltd
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BEIJING JOIN BRIGHT DIGITAL POWER TECHNOLOGY CO LTD
Shandong Guohua Times Investment Development Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2228Indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention discloses a new energy real-time data processing method and device based on change storage, wherein the method comprises the following steps: configuring data change configuration of the new energy real-time data; acquiring new energy real-time data, and performing data conversion through data change configuration to obtain converted new energy real-time data; and sending the stored converted new energy real-time data to the corresponding client. According to the processing method provided by the embodiment of the invention, the data processing speed can be increased, the data statistics can be simplified, the real-time capability of data processing can be effectively ensured, the processing reliability and the processing efficiency can be improved, the operation is simple, and the processing experience can be improved.

Description

New energy real-time data processing method and device based on change storage
Technical Field
The invention relates to the technical field of new energy real-time data processing, in particular to a new energy real-time data processing method and device based on change storage.
Background
At present, the new energy power generation industry in China is in a high-speed development stage, and a plurality of new energy companies begin to engage in development, construction, operation and related technical services of wind power plants.
However, with the rapid increase of the installed capacity, the real-time monitoring data of the new energy also presents an exponential growth trend, so that the new energy company needs to count and report related data, consumes more and more time for data acquisition and counting, cannot ensure the real-time capability of data processing, reduces the processing reliability and processing efficiency, is complex to operate, and reduces the processing experience.
Disclosure of Invention
The present invention is directed to solving, at least in part, one of the technical problems in the related art.
Therefore, an object of the present invention is to provide a new energy real-time data processing method based on change storage, which can improve data processing speed, simplify data statistics, effectively ensure real-time capability of data processing, improve processing reliability and processing efficiency, and improve processing experience.
The invention further aims to provide a new energy real-time data processing device based on change storage.
In order to achieve the above object, an embodiment of the present invention provides a method for processing new energy real-time data based on change storage, including the following steps: configuring data change configuration of the new energy real-time data; acquiring the new energy real-time data, and performing data conversion through the data change configuration to obtain the converted new energy real-time data; and sending the stored converted new energy real-time data to a corresponding client.
The new energy real-time data processing method based on change storage can improve the data processing speed, simplify data statistics, effectively ensure the real-time capability of data processing, improve the processing reliability and the processing efficiency, is simple to operate and improves the processing experience.
In addition, the method for processing the real-time new energy data based on the change storage according to the above embodiment of the present invention may further have the following additional technical features:
in an embodiment of the present invention, the configuring data change configuration of the new energy real-time data includes: configuring the analytic format of the new energy real-time data according to the type of the substation equipment to obtain configuration information; storing the configuration information to a configuration file and a database; and reading the configuration information into a memory to perform data processing.
Further, in an embodiment of the present invention, before sending the stored new energy real-time data to the corresponding client, the method includes: acquiring the configuration information and the new energy real-time data; analyzing the new energy real-time data according to the configuration information, and extracting equipment coding information and time; taking the equipment information and the time as retrieval indexes, and storing the new energy real-time data into the database so as to store or update the new energy real-time data; retrieving the configuration information to determine whether a single quantity in the real-time new energy data record needs to be changed for storage.
Further, in an embodiment of the present invention, before sending the stored converted new energy real-time data to a corresponding client, the method further includes: and when the new energy real-time data need to be changed and stored, extracting the new energy real-time data according to the type of the change and storage to be changed and stored.
In addition, in an embodiment of the present invention, the sending the stored converted new energy real-time data to a corresponding client includes: acquiring the configuration information and the equipment information; acquiring the new energy real-time data according to the equipment information and the time as a retrieval index; retrieving the configuration information, and judging whether the single quantity needs to be changed and stored in the real-time data record, wherein if the change and storage needs to be configured, the change and storage value of the single quantity is obtained according to the joint index of the equipment information, the time and the change type; and storing the new energy real-time data to the replacement list according to the change to obtain the new energy real-time data sent to the client.
In order to achieve the above object, another embodiment of the present invention provides a new energy real-time data processing apparatus based on change storage, including: the configuration module is used for configuring data change configuration of the new energy real-time data; the acquisition module is used for acquiring the new energy real-time data and performing data conversion through the data change configuration to obtain the converted new energy real-time data; and the processing module is used for sending the stored converted new energy real-time data to the corresponding client.
The new energy real-time data processing device based on change storage, provided by the embodiment of the invention, can improve the data processing speed, simplify data statistics, effectively ensure the real-time capability of data processing, improve the processing reliability and processing efficiency, is simple to operate and improves the processing experience.
In addition, the real-time data processing device for new energy based on change storage according to the above embodiment of the present invention may further have the following additional technical features:
wherein, in one embodiment of the present invention, the configuration module includes: the configuration unit is used for configuring the analysis format of the new energy real-time data according to the type of the substation equipment to obtain configuration information; the saving unit is used for saving the configuration information to a configuration file and a database; and the reading unit is used for reading the configuration information into the memory so as to process data.
Further, in an embodiment of the present invention, the obtaining module is further configured to obtain the configuration information and the real-time new energy data, analyze the real-time new energy data according to the configuration information, extract device coding information and time, use the device information and the time as a retrieval index, store the real-time new energy data in the database, so as to store or update the real-time new energy data, and retrieve the configuration information, so as to determine whether a single quantity in the real-time new energy data record needs to be changed and stored.
Further, in an embodiment of the present invention, the obtaining module is further configured to extract the new energy real-time data for change storage according to a type of the change storage when the change storage is needed.
In addition, in an embodiment of the present invention, the processing module is specifically configured to obtain the configuration information and the device information, obtain the real-time new energy data according to a retrieval index which is the device information and the time, retrieve the configuration information, and determine whether it is necessary to perform change storage on a single quantity in a real-time data record, where if it is necessary to perform configuration change storage, a change storage value of the single quantity is obtained according to a joint index of the device information, the time, and a change type, and the real-time new energy data sent to the client is obtained according to the change storage to a replacement single quantity.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a method for real-time data processing of new energy based on change storage according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for processing real-time new energy data based on change storage according to an embodiment of the present invention;
FIG. 3 is a flow diagram of a real-time data format configuration according to one embodiment of the invention;
FIG. 4 is a flow diagram of real-time data change storage according to one embodiment of the present invention;
FIG. 5 is a data flow diagram of a client obtaining a change store according to one embodiment of the invention; and
fig. 6 is a block diagram of a new energy real-time data processing apparatus based on change storage according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The method and the device for processing the new energy real-time data based on change storage according to the embodiment of the invention are described below with reference to the accompanying drawings, and first, the method for processing the new energy real-time data based on change storage according to the embodiment of the invention will be described with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for processing real-time new energy data based on change storage according to an embodiment of the present invention.
As shown in fig. 1, the method for processing the new energy real-time data based on change storage includes the following steps:
in step S01, a data change configuration of the new energy real-time data is configured.
It is understood that, as shown in fig. 2, step S1: real-time data format configuration and processing configuration of configuration data change.
In one embodiment of the present invention, configuring a data change configuration of new energy real-time data includes: configuring the analytic format of the new energy real-time data according to the type of the substation equipment to obtain configuration information; storing the configuration information to a configuration file and a database; and reading the configuration information into the memory to perform data processing.
Specifically, as shown in fig. 3, step S1 may include:
step S101: and configuring the analysis format of the real-time data according to the field station sub-equipment type, specifically to data index, data meaning and whether to change and store.
Step S102: and saving the configuration information to a configuration file and a database.
Step S103: and reading the configuration information into the memory to accelerate the data processing speed.
In step S02, new energy real-time data is obtained, and data conversion is performed through data change configuration to obtain converted new energy real-time data.
It is to be understood that, as shown in fig. 2, step S2: and acquiring real-time data, and performing data conversion according to data change configuration.
In an embodiment of the present invention, before sending the stored real-time new energy data to the corresponding client, the method includes: acquiring configuration information and new energy real-time data; analyzing the new energy real-time data according to the configuration information, and extracting equipment coding information and time; the equipment information and the time are used as retrieval indexes, and the new energy real-time data are stored in a database so as to be stored or updated; and retrieving configuration information to judge whether the single quantity in the new energy real-time data record needs to be changed and stored.
Further, in an embodiment of the present invention, before sending the stored converted new energy real-time data to the corresponding client, the method further includes: when the change storage is needed, the new energy real-time data are extracted according to the type of the change storage for change storage.
It is to be understood that, as shown in fig. 2, step S3: and storing the data change in real time.
Specifically, as shown in fig. 4, step S3 may include:
step S301: configuration information and real-time data are input.
Step S302: and analyzing the real-time data according to the configuration information, extracting equipment coding information and time, and further processing the time into a year, month and day format.
Step S303: and storing the real-time data into a memory database by taking the equipment information and the time as retrieval indexes, and updating the data if the real-time data exists in the database.
Step S304: rapidly retrieving configuration information, judging whether a single quantity in the real-time data record needs to be changed and stored or not, if so, extracting the real-time data for change and storage according to the type of the change and storage, wherein the type of the change and storage is as follows: data difference (by day), time to failure, data accumulation, maximum, minimum, mean, and the like. The change storage retrieval index is a joint index of the device information, the time and the change type.
In step S03, the stored converted new energy real-time data is sent to the corresponding client.
It is understood that, as shown in fig. 2, step S4: the client obtains the data stored in a change way.
Further, in an embodiment of the present invention, the sending the stored converted new energy real-time data to a corresponding client includes: acquiring configuration information and equipment information; acquiring new energy real-time data for retrieval indexes according to the equipment information and the time; retrieving configuration information, and judging whether the single quantity needs to be changed and stored in the real-time data record, wherein if the change and storage needs to be configured, the change and storage value of the single quantity is obtained according to the joint index of the equipment information, the time and the change type; and storing the new energy real-time data to the replacement list according to the change to obtain the new energy real-time data of the sending client.
Specifically, as shown in fig. 5, step S4 may include:
step S401: configuration information and device information are input.
Step S402: and acquiring real-time data records according to the equipment information and the time as retrieval indexes.
Step S403: and rapidly searching configuration information, judging whether the single quantity needs to be subjected to change storage in the real-time data record, and if the change storage is configured, acquiring a change storage value of the single quantity according to the joint index of the equipment information, the time and the change type.
Step S404: in place of the single quantity in the pair acquired in step S402, a single quantity is acquired in the record according to the single quantity variation value acquired in step S403.
Step S405: and finally returning the real-time data record of the equipment.
In summary, the embodiment of the present invention can utilize memory resources to process real-time data for change storage, assemble each change value of the real-time data when the client acquires the data to form a real-time data record required by the client, and implement real-time and effectiveness of data processing by separating data processing and acquisition, thereby simplifying a complex structure of real-time data processing.
Specifically, memory resources are utilized to process real-time data for change storage, when a client acquires the data, all change values of the real-time data are assembled to form a real-time data record required by the client, and the analytic format of the real-time data is configured according to the type of field station equipment, specifically, the data index, the data meaning and whether change storage is required or not; and saving the configuration information to a configuration file and a database. And reading the configuration information into the memory to accelerate the data processing speed.
Firstly, inputting configuration information and real-time data; analyzing the real-time data according to the configuration information, extracting equipment coding information and time, and further processing the time into a year, month and day format; the equipment information and the time are used as retrieval indexes, real-time data are stored in a memory database, and the data are updated if the real-time data exist in the database; rapidly retrieving configuration information, judging whether a single quantity in the real-time data record needs to be changed and stored or not, if so, extracting the real-time data for change and storage according to the type of the change and storage, wherein the type of the change and storage is as follows: data difference (by day), time to failure, data accumulation, maximum, minimum, mean, and the like. The change storage retrieval index is a combined index of the equipment information, the time and the change type; secondly, inputting configuration information and equipment information; acquiring a real-time data record according to the equipment information and the time as a retrieval index; and rapidly retrieving configuration information, judging whether the single quantity needs to be subjected to change storage in the real-time data record, and if the change storage is configured, acquiring a change storage value of the single quantity according to the joint index of the equipment information, the time and the change type. And replacing the single quantity in the pair obtained in the record according to the obtained single quantity variation value. And finally returning the real-time data record of the equipment.
According to the new energy real-time data processing method based on change storage, the data processing speed can be increased, data statistics can be simplified, the real-time capacity of data processing is effectively guaranteed, the processing reliability and the processing efficiency are improved, the operation is simple, and the processing experience is improved.
Next, a new energy real-time data processing apparatus based on change storage according to an embodiment of the present invention will be described with reference to the accompanying drawings.
Fig. 6 is a block diagram of a new energy real-time data processing device based on change storage according to an embodiment of the present invention.
As shown in fig. 6, the real-time new energy data processing apparatus 10 based on change storage includes: a configuration module 100, an acquisition module 200 and a processing module 300.
Specifically, the configuration module 100 is configured to configure data change configuration of the new energy real-time data.
The obtaining module 200 is configured to obtain the new energy real-time data, and perform data conversion according to data change configuration to obtain the converted new energy real-time data.
And the processing module 300 is configured to send the stored converted new energy real-time data to the corresponding client.
In one embodiment of the present invention, the configuration module 100 includes: a configuration unit and a saving unit.
The configuration unit is used for configuring the analysis format of the new energy real-time data according to the type of the substation equipment to obtain configuration information.
The storage unit is used for storing the configuration information to a configuration file and a database; and the reading unit is used for reading the configuration information into the memory so as to process data.
Further, in an embodiment of the present invention, the obtaining module 200 is further configured to obtain configuration information and real-time new energy data, analyze the real-time new energy data according to the configuration information, extract device coding information and time, use the device information and the time as a retrieval index, store the real-time new energy data in a database, to store or update the real-time new energy data, and retrieve the configuration information to determine whether a single quantity in the real-time new energy data record needs to be changed and stored.
Further, in an embodiment of the present invention, the obtaining module 200 is further configured to extract real-time new energy data according to a type of change storage for change storage when the change storage is needed.
In addition, in an embodiment of the present invention, the processing module 300 is specifically configured to obtain the configuration information and the device information, obtain real-time new energy data according to the device information and the time as a retrieval index, retrieve the configuration information, and determine whether it is necessary to perform change storage on a single quantity in the real-time data record, where if it is necessary to configure change storage, a change storage value of the single quantity is obtained according to a joint index of the device information, the time, and a change type, and the real-time new energy data sent to the client is obtained according to the change storage to the replacement single quantity.
It should be noted that the foregoing explanation on the embodiment of the method for processing real-time new energy data based on change storage is also applicable to the apparatus for processing real-time new energy data based on change storage in this embodiment, and is not described herein again.
According to the new energy real-time data processing device based on change storage, the data processing speed can be increased, data statistics can be simplified, the real-time capacity of data processing is effectively guaranteed, the processing reliability and the processing efficiency are improved, the operation is simple, and the processing experience is improved.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (4)

1. A new energy real-time data processing method based on change storage is characterized by comprising the following steps:
configuring data change configuration of the new energy real-time data;
acquiring the new energy real-time data, and performing data conversion through the data change configuration to obtain the converted new energy real-time data;
the stored converted new energy real-time data are sent to corresponding clients;
before the stored converted new energy real-time data is sent to the corresponding client, the method comprises the following steps: acquiring configuration information and the new energy real-time data; analyzing the new energy real-time data according to the configuration information, and extracting equipment coding information and time; taking the equipment information and the time as retrieval indexes, and storing the new energy real-time data into a database so as to store or update the new energy real-time data; retrieving the configuration information to judge whether a single quantity in the new energy real-time data record needs to be changed and stored or not, when the new energy real-time data record needs to be changed and stored, extracting the new energy real-time data according to a change type to be changed and stored, wherein a change storage retrieval index is a combined index of equipment information, time and the change type;
the step of sending the stored converted new energy real-time data to the corresponding client side comprises the following steps: acquiring the configuration information and the equipment information; acquiring the new energy real-time data according to the equipment information and the time as a retrieval index; retrieving the configuration information, and judging whether the single quantity needs to be changed and stored in the real-time data record, wherein if the change and storage needs to be configured, the change and storage value of the single quantity is obtained according to the joint index of the equipment information, the time and the change type; and storing the new energy real-time data to the replacement list according to the change to obtain the new energy real-time data sent to the client.
2. The method according to claim 1, wherein configuring the data change configuration of the new energy real-time data comprises:
configuring the analytic format of the new energy real-time data according to the type of the substation equipment to obtain configuration information;
storing the configuration information to a configuration file and a database;
and reading the configuration information into a memory to perform data processing.
3. A new energy real-time data processing device based on change storage is characterized by comprising:
the configuration module is used for configuring data change configuration of the new energy real-time data;
the acquisition module is used for acquiring the new energy real-time data and performing data conversion through the data change configuration to obtain the converted new energy real-time data;
the processing module is used for sending the stored converted new energy real-time data to the corresponding client;
the acquisition module is further configured to acquire the configuration information and the real-time new energy data, analyze the real-time new energy data according to the configuration information, extract device coding information and time, use the device information and the time as retrieval indexes, store the real-time new energy data in a database to store or update the real-time new energy data, retrieve the configuration information to determine whether a single quantity in the real-time new energy data record needs to be changed and stored, extract the real-time new energy data according to a change type to be changed and stored when the change and storage are needed, and change and store the retrieval indexes as joint indexes of device information, time and change types;
the processing module is specifically configured to obtain the configuration information and the device information, obtain the new energy real-time data according to the device information and the time as a retrieval index, retrieve the configuration information, and determine whether a single quantity in a real-time data record needs to be changed and stored, where if the change storage needs to be configured, a change storage value of the single quantity is obtained according to a joint index of the device information, the time, and a change type, and the new energy real-time data sent to the client is obtained according to the change storage to a replacement single quantity.
4. The apparatus of claim 3, wherein the configuration module comprises:
the configuration unit is used for configuring the analysis format of the new energy real-time data according to the type of the substation equipment to obtain configuration information;
the saving unit is used for saving the configuration information to a configuration file and a database;
and the reading unit is used for reading the configuration information into the memory so as to process data.
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