Data online collaboration method based on modular special transformer terminal

Abstract

The invention discloses a data online collaboration method based on a modular special transformer terminal, and relates to the technical field of data collaboration, and the method comprises the steps: regularly generating a data copying task, determining a task publishing target, and sending the data copying task to a corresponding modular special transformer terminal according to the determined task publishing target; the modular special transformer terminal obtains electric meter data according to the received data copying task, and optimizes the obtained electric meter data; uploading the optimized ammeter data to a cloud end, and carrying out cloud end cooperative processing on the ammeter data uploaded to the cloud end; and a data collaboration space is constructed at the cloud, so that centralized storage and efficient collaboration of data are realized. Management personnel can initiate a collaboration request and set collaboration conditions through the authority interface, target collaboration personnel can be conveniently organized to participate in data collaboration, ammeter data can be read and packaged according to the collaboration range, needed data can be rapidly provided, and the collaboration efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data collaboration, and specifically to an online data collaboration method based on a modularized special transformer terminal. Background Art

[0002] In the power system, the special transformer terminal, as a key device connecting the power main station and the special transformer users, plays a crucial role in the acquisition, transmission, and processing of power data. With the rapid development of the power industry and the in-depth promotion of the construction of the smart grid, the traditional special transformer terminal has gradually exposed limitations such as single function and poor scalability, and it is difficult to meet the increasingly complex and changeable business requirements. The modularized special transformer terminal emerges as the times require. By encapsulating different functions into independent modules, it has good scalability and flexibility and can be quickly customized and upgraded according to actual needs.

[0003] However, a large number of modularized special transformer terminals will generate a huge amount of data during operation. These data are scattered in different terminals and systems. How to achieve the online collaborative processing and sharing of these data is of great significance for improving the operation efficiency of the power system, optimizing resource allocation, and ensuring power supply reliability, which is the problem we need to solve. Therefore, an online data collaboration method based on a modularized special transformer terminal is provided. Summary of the Invention

[0004] The purpose of the present invention is to provide an online data collaboration method based on a modularized special transformer terminal.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An online data collaboration method based on a modularized special transformer terminal, including the following steps:

[0006] Step S1: Regularly generate a data copy task, determine the task release target, and send the data copy task to the corresponding modularized special transformer terminal according to the determined task release target;

[0007] Step S2: The modularized special transformer terminal obtains the meter data according to the received data copy task, and optimizes the obtained meter data;

[0008] Step S3: Upload the optimized meter data to the cloud, and perform cloud collaborative processing on the meter data uploaded to the cloud.

[0009] Furthermore, the process of regularly generating a data copy task, determining the task release target, and sending the data copy task to the corresponding modularized special transformer terminal includes:

[0010] Set the data copy period, and generate a periodic data copy task corresponding to the set data copy period according to the set data copy period;

[0011] Read the task content corresponding to the generated periodic data copying task, where the task content includes the task execution scope, the data coverage time period, and the copied data items;

[0012] Determine the target area according to the task execution scope, obtain all the electricity meter information within the target area from the cloud, and send the periodic data copying task to the modularized special transformer terminal configured corresponding to the electricity meter according to the obtained electricity meter information.

[0013] Furthermore, each electricity meter is configured with a corresponding modularized special transformer terminal, and the electricity meter information includes the electricity meter number, the location of the electricity meter, and the parameter items collected by the electricity meter.

[0014] Furthermore, the modularized special transformer terminal includes a data acquisition unit and a data preprocessing unit;

[0015] Obtain the electricity meter data corresponding to the copied data items generated by the electricity meter during the data coverage time period through the data acquisition unit. The electricity meter data includes several parameter items and the parameter values corresponding to each parameter item, and send the obtained parameter items and the corresponding ones to the data preprocessing unit, and optimize the obtained electricity meter data through the data preprocessing unit.

[0016] Furthermore, the process of the data preprocessing unit optimizing the obtained electricity meter data includes:

[0017] The data preprocessing unit constructs a two-dimensional coordinate system of time versus parameters according to the obtained parameter items;

[0018] Generate a parameter change curve for the corresponding time period of the data copying cycle according to the parameter values of each obtained parameter item, and map the generated parameter change curves into the corresponding two-dimensional coordinate systems;

[0019] Traverse whether there are breakpoints in the parameter change curves within each two-dimensional coordinate system. If there is a breakpoint in the parameter change curve within the two-dimensional coordinate system corresponding to any parameter item, mark the parameter item and the corresponding moment as data missing points;

[0020] Sample the other parameter change curves corresponding to the data missing points, and record them as data sampling points;

[0021] Generate a corresponding horizontal line in the two-dimensional coordinate system with the data sampling point as the reference point, and record the moment corresponding to the point where the horizontal line intersects the corresponding parameter change curve and has the shortest time interval from the reference point as the reference moment;

[0022] Map the obtained reference moments into the two-dimensional coordinate system where the data missing points are located, and obtain the parameter values corresponding to each reference moment;

[0023] Obtain the mean values of each parameter value, and fill the obtained mean values into the data missing points to complete the optimization of the electricity meter data.

[0024] Furthermore, the process of uploading the optimized electricity meter data to the cloud and performing cloud collaborative processing on the uploaded electricity meter data to the cloud includes:

[0025] Generate corresponding cloud nodes according to each modularized dedicated transformer terminal, and associate the generated cloud nodes with the corresponding modularized dedicated transformer terminals;

[0026] Import the electricity meter data uploaded by each modularized dedicated transformer terminal into the corresponding cloud node for storage;

[0027] Build a data collaboration space in the cloud, create a permission interface linked to the built data collaboration space, and associate the permission interface with at least one management personnel;

[0028] The management personnel initiate a data collaboration request through the permission interface, and generate a condition window according to the data collaboration request initiated by the management personnel;

[0029] The management personnel input corresponding data collaboration conditions into the condition window, and the data collaboration conditions include target collaboration personnel and data collaboration scope;

[0030] Send the data collaboration request to the corresponding target collaboration personnel according to the data collaboration conditions. After being confirmed by the corresponding target collaboration personnel, they join the corresponding data collaboration space;

[0031] Read the data collaboration scope in the data collaboration conditions, read the electricity meter data in the corresponding scope in each cloud node according to the data collaboration scope, and package it to obtain the corresponding electricity meter data packet;

[0032] Map the read electricity meter data packet to the permission interface, and the management personnel grant permissions to the electricity meter data packet;

[0033] After completing the permission granting of the electricity meter data packet, import the electricity meter data packet into the data collaboration space and decompress the electricity meter data packet to obtain the corresponding electricity meter data;

[0034] Build a data collaboration record form associated with the electricity meter data. The data collaboration record form is used to record the operation content and the time of performing the corresponding operation content by the management personnel and each target collaboration personnel, and then generate the corresponding operation log according to the data collaboration record form after completing the data collaboration;

[0035] When the data collaboration is ended by the administrator, a temporary data storage space is built in the cloud. After importing the electricity meter data and operation logs in the data collaboration space into the temporary storage space, the corresponding data collaboration space is deleted, and the retention period of the data in the temporary storage space is set by the administrator.

[0036] Furthermore, the permission granting specifically means that the administrator sets corresponding operation permissions for the electricity meter data packet and the target collaboration personnel who can execute the corresponding operation permissions. The operation permissions include viewing, downloading, and editing.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0038] 1. A data collaboration space is built in the cloud, realizing centralized storage and efficient collaboration of data. The administrator can initiate a collaboration request and set collaboration conditions through the permission interface, conveniently organizing the target collaboration personnel to participate in data collaboration, reading and packaging the electricity meter data according to the collaboration scope, quickly providing the required data, improving the collaboration efficiency, and granting permissions to the electricity meter data packet, enabling setting operation permissions such as viewing, downloading, and editing according to different needs, ensuring the security and privacy of data. At the same time, a data collaboration record form is built to record the operation content and time, generating an operation log, which is convenient for tracing and management of data usage.

[0039] 2. The data preprocessing unit of the modularized special transformer terminal optimizes the electricity meter data, effectively handling the problem of data loss. By generating a parameter change curve, marking data loss points, obtaining the parameter values at the reference time and filling them, etc., the integrity and continuity of the data are ensured, and the data quality is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

[0041] Figure 1 is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] As Figure 1 shown, the data online collaboration method based on the modularized special transformer terminal includes the following steps:

[0043] Step S1: Regularly generate data copying tasks, determine the task release target, and send the data copying tasks to the corresponding modularized special transformer terminals according to the determined task release target;

[0044] Step S2: The modularized dedicated variable terminal obtains the electricity meter data according to the received data copying task, and optimizes the obtained electricity meter data;

[0045] Step S3: Upload the optimized electricity meter data to the cloud, and perform cloud collaborative processing on the electricity meter data uploaded to the cloud;

[0046] It should be further noted that in the specific implementation process, the process of regularly generating data copying tasks, determining the task release target, and sending the data copying tasks to the corresponding modularized dedicated variable terminals according to the determined task release target includes:

[0047] Set the data copying cycle, and generate periodic data copying tasks corresponding to the set data copying cycle according to the set data copying cycle;

[0048] Read the task content corresponding to the generated periodic data copying task, and the task content includes the task execution scope, the data coverage time period, and the copied data items;

[0049] Determine the target area according to the task execution scope, obtain all the electricity meter information in the target area from the cloud, and send the periodic data copying task to the modularized dedicated variable terminal configured corresponding to the electricity meter according to the obtained electricity meter information;

[0050] It should be further noted that in the specific implementation process, each electricity meter is configured with a corresponding modularized dedicated variable terminal, and the electricity meter information includes the electricity meter number, the location of the electricity meter, and the parameter items collected by the electricity meter.

[0051] It should be further noted that in the specific implementation process, the modularized dedicated variable terminal includes a data collection unit and a data preprocessing unit;

[0052] Obtain the electricity meter data corresponding to the copied data items generated by the electricity meter during the data coverage time period through the data collection unit. The electricity meter data includes several parameter items and parameter values corresponding to each parameter item, and send the obtained parameter items and the corresponding ones to the data preprocessing unit, and optimize the obtained electricity meter data through the data preprocessing unit.

[0053] It should be further noted that in the specific implementation process, the process of the data preprocessing unit optimizing the obtained electricity meter data includes:

[0054] The data preprocessing unit constructs a two-dimensional coordinate system of time versus parameters according to the obtained parameter items;

[0055] Generate a parameter change curve for the corresponding time period of the data copy period based on the parameter values of each obtained parameter item, and map the generated parameter change curves to the corresponding two-dimensional coordinate system;

[0056] Traverse whether there are breakpoints in the parameter change curves within each two-dimensional coordinate system. If there is a breakpoint in the parameter change curve within the two-dimensional coordinate system corresponding to any parameter item, mark the parameter item and the corresponding moment as data missing points;

[0057] Sample the other parameter change curves corresponding to the data missing points, and record them as data sampling points;

[0058] Generate a corresponding horizontal line in the two-dimensional coordinate system with the data sampling point as the reference point, and record the moment corresponding to the point where the horizontal line intersects the corresponding parameter change curve and has the shortest time interval from the reference point as the reference moment;

[0059] Map the obtained reference moments to the two-dimensional coordinate system where the data missing points are located, and obtain the parameter values corresponding to each reference moment;

[0060] Obtain the average value of each parameter value, and fill the obtained average value into the data missing points to complete the optimization of the electricity meter data.

[0061] It should be further noted that in the specific implementation process, uploading the optimized electricity meter data to the cloud and the process of performing cloud collaborative processing on the uploaded electricity meter data to the cloud includes:

[0062] Generate corresponding cloud nodes according to each modularized special transformer terminal, and associate the generated cloud nodes with the corresponding modularized special transformer terminals;

[0063] Import the electricity meter data uploaded by each modularized special transformer terminal into the corresponding cloud node for storage;

[0064] Build a data collaboration space in the cloud, create a permission interface linked to the built data collaboration space, and associate the permission interface with at least one management personnel;

[0065] The management personnel initiate a data collaboration request through the permission interface. According to the data collaboration request initiated by the management personnel, generate a condition window;

[0066] The management personnel input corresponding data collaboration conditions into the condition window, and the data collaboration conditions include target collaboration personnel and data collaboration scope;

[0067] Send the data collaboration request to the corresponding target collaboration personnel according to the data collaboration conditions. After being confirmed by the corresponding target collaboration personnel, join the corresponding data collaboration space;

[0068] Read the data collaboration range within the data collaboration conditions. According to the data collaboration range, read the electricity meter data within the corresponding range in each cloud node, and package it to obtain the corresponding electricity meter data packet;

[0069] Map the read electricity meter data packet to the permission interface, and the management personnel grant permissions to the electricity meter data packet;

[0070] The permission granting specifically means that the management personnel set corresponding operation permissions and target collaboration personnel who can execute the corresponding operation permissions for the electricity meter data packet. The operation permissions include viewing, downloading, and editing;

[0071] After completing the permission granting for the electricity meter data packet, import the electricity meter data packet into the data collaboration space, and decompress the electricity meter data packet to obtain the corresponding electricity meter data;

[0072] Construct a data collaboration record form associated with the electricity meter data. The data collaboration record form is used to record the operation content and the time when the management personnel and each target collaboration personnel perform operations on the electricity meter data, and then generate the corresponding operation log according to the data collaboration record form after completing the data collaboration;

[0073] When the management personnel end the data collaboration, construct a temporary data storage space in the cloud. After importing the electricity meter data and the operation log in the data collaboration space into the temporary storage space, delete the corresponding data collaboration space, where the retention duration of the data in the temporary storage space is set by the management personnel.

[0074] The above is only a preferred embodiment of the present invention, and it does not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the above-disclosed technical content to be equivalent embodiments within the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any modification or equivalent replacement made according to the technical essence of the present invention to the above embodiments still falls within the scope of the technical solution of the present invention.

Claims

1. An online data collaboration method based on a modular special-purpose terminal, characterized in that It includes the following steps: Step S1: Regularly generate data copy tasks, determine the task release target, and send the data copy tasks to the corresponding modularized special transformer terminal according to the determined task release target; Step S2: The modularized special transformer terminal obtains meter data according to the received data copy tasks, and performs optimization processing on the obtained meter data; Step S3: Upload the optimized meter data to the cloud, and perform cloud collaborative processing on the meter data uploaded to the cloud.

2. The data online collaboration method based on the modular dedicated variable terminal according to claim 1, wherein The process of regularly generating data copy tasks, determining the task release target, and sending the data copy tasks to the corresponding modularized special transformer terminal includes: Set the data copy period, and generate periodic data copy tasks corresponding to the set data copy period according to the set data copy period; Read the task content corresponding to the generated periodic data copy task, and the task content includes the task execution scope, data coverage time period, and copied data items; Determine the target area according to the task execution scope, obtain all meter information in the target area from the cloud, and send the periodic data copy task to the modularized special transformer terminal configured corresponding to the meter according to the obtained meter information.

3. The data online collaboration method based on the modularized dedicated terminal according to claim 2, wherein Each meter is configured with a corresponding modularized special transformer terminal, and the meter information includes the meter number, the location of the meter, and the parameter items collected by the meter.

4. The data online collaboration method based on the modularized dedicated terminal according to claim 3, characterized in that The modularized special transformer terminal includes a data acquisition unit and a data preprocessing unit; Obtain the meter data corresponding to the copied data items generated by the meter during the data coverage time period through the data acquisition unit. The meter data includes several parameter items and parameter values corresponding to each parameter item, and send the obtained parameter items and corresponding ones to the data preprocessing unit, and optimize the obtained meter data through the data preprocessing unit.

5. The data online collaboration method based on the modularized dedicated terminal according to claim 4, characterized in that, The process of the data preprocessing unit optimizing the obtained meter data includes: The data preprocessing unit constructs a two-dimensional coordinate system of time versus parameters corresponding to the obtained parameter items; Generate parameter change curves for the time period corresponding to the data copy period according to the parameter values of each obtained parameter item, and map the generated parameter change curves into the corresponding two-dimensional coordinate system; Traverse whether there are breakpoints in the parameter change curves in each two-dimensional coordinate system. If there is a breakpoint in the parameter change curve in the two-dimensional coordinate system corresponding to any parameter item, mark the parameter item and the corresponding moment as data missing points; Sample the other parameter change curves corresponding to the data missing points, and record them as data sampling points; Generate a corresponding horizontal line in the two-dimensional coordinate system with the data sampling point as the reference point, and record the moment corresponding to the point where the horizontal line intersects the corresponding parameter change curve and has the shortest time interval from the reference point as the reference moment; Map the obtained reference moments into the two-dimensional coordinate system where the data missing points are located, and obtain the parameter values corresponding to each reference moment; Obtain the average value of each parameter value, and fill the obtained average value into the data missing points to complete the optimization of the meter data.

6. The data online collaboration method based on the modularized dedicated terminal according to claim 5, wherein, The process of uploading the optimized electricity meter data to the cloud and performing cloud collaborative processing on the electricity meter data uploaded to the cloud includes: Generating corresponding cloud nodes according to each modularized special transformer terminal, and associating the generated cloud nodes with the corresponding modularized special transformer terminals; Importing the electricity meter data uploaded by each modularized special transformer terminal into the corresponding cloud node for storage; Building a data collaboration space in the cloud, creating a permission interface linked to the built data collaboration space, and associating the permission interface with at least one management personnel; Initiating a data collaboration request by the management personnel through the permission interface, and generating a condition window according to the data collaboration request initiated by the management personnel; The management personnel input corresponding data collaboration conditions into the condition window, and the data collaboration conditions include target collaboration personnel and data collaboration scope; Sending the data collaboration request to the corresponding target collaboration personnel according to the data collaboration conditions, and after being confirmed by the corresponding target collaboration personnel, joining the corresponding data collaboration space; Reading the data collaboration scope in the data collaboration conditions, reading the electricity meter data within the corresponding scope in each cloud node according to the data collaboration scope, and packing to obtain the corresponding electricity meter data packet; Mapping the read electricity meter data packet to the permission interface, and the management personnel assign permissions to the electricity meter data packet; After completing the permission assignment to the electricity meter data packet, importing the electricity meter data packet into the data collaboration space, and decompressing the electricity meter data packet to obtain the corresponding electricity meter data; Building a data collaboration record table associated with the electricity meter data, and the data collaboration record table is used to record the operation content and the time for performing the corresponding operation content by the management personnel and each target collaboration personnel, and then generating a corresponding operation log according to the data collaboration record table after completing the data collaboration; When the management personnel end the data collaboration, building a temporary data storage space in the cloud, importing the electricity meter data and the operation log in the data collaboration space into the temporary storage space, and then deleting the corresponding data collaboration space, where the data retention duration of the temporary storage space is set by the management personnel.

7. The data online collaboration method based on the modular special-purpose terminal according to claim 6, wherein The permission assignment specifically means that the management personnel set corresponding operation permissions and the target collaboration personnel who can execute the corresponding operation permissions for the electricity meter data packet, and the operation permissions include view, download, and edit.

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