Multi-source power grid data intelligent processing method and server

Abstract

The invention relates to the technical field of data processing, and discloses an intelligent processing method for multi-source power grid data and a server, comprising: for an authorized power grid data reporting end, when receiving a power grid data reporting demand, the server reports the data to the data reporting hierarchy corresponding to the power grid data reporting end according to the data reporting hierarchy corresponding to the power grid data reporting end; extracting to-be-verified preset key power grid data from target power grid data uploaded by the power grid data reporting end and verifying the to-be-verified preset key power grid data; and when the verification is passed, the server determines the target power grid data as to-be-processed target power grid data, determines associated power grid data corresponding to the to-be-processed target power grid data based on multi-dimensional information corresponding to the to-be-processed target power grid data, and performs joint processing operation on the to-be-processed target power grid data and the associated power grid data corresponding to the to-be-processed target power grid data. And obtaining a power grid data joint processing result. Therefore, the accuracy of the power grid data reported by different power grid data reporting ends can be improved, and the processing accuracy of the multi-source power grid data can also be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an intelligent processing method and a server for multi-source power grid data. Background Art

[0002] With the rapid development of the Internet, the Internet of Things, and artificial intelligence, the power grid system is becoming larger and larger, and the sources of power grid data involved in the power grid system are becoming more and more numerous and diversified, which leads to an increasing amount of power grid data. In practical applications, it is necessary to organize power grid data from multiple sources in order to analyze the performance of the power grid system, or to provide an accurate and comprehensive reference for the optimization of the power grid system.

[0003] In actual applications, different data reporting terminals need to register on the server used to manage power grid data. After successful registration, they can report power grid data autonomously. The power grid data management platform processes and stores the power grid data reported by different power grid data reporting terminals. However, practice has found that power grid data is autonomously reported by different reporting terminals, and the accuracy of power grid data cannot be guaranteed. In addition, when processing multi-source power grid data, the correlation of power data from different sources is not considered, which is not conducive to improving the processing accuracy of multi-source power grid data. Summary of the invention

[0004] The present invention provides an intelligent processing method and a service end for multi-source power grid data, which can improve the accuracy of power grid data reported by different power grid data reporting ends, and can also improve the processing precision of multi-source power grid data.

[0005] The first aspect of the present invention discloses an intelligent processing method for multi-source power grid data, the method is applied to a server for processing multi-source power grid data, and the method comprises:

[0006] For any authorized power grid data reporting terminal, when the service end receives the power grid data reporting demand of the power grid data reporting terminal, the service end determines the data reporting level corresponding to the power grid data reporting terminal, extracts the preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting terminal according to the data reporting level corresponding to the power grid data reporting terminal, and verifies the preset key power grid data;

[0007] When the preset key power grid data is verified to be passed, the service end determines the target power grid data as the target power grid data to be processed, and determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed;

[0008] The server performs a joint processing operation on the target power grid data to be processed and the corresponding associated power grid data to obtain a power grid data joint processing result.

[0009] As an optional implementation manner, in the first aspect of the present invention, the server determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed, including:

[0010] The server selects related power grid data to be processed from the power grid data to be processed reported by at least one other power grid data reporting terminal based on the multi-dimensional information corresponding to the target power grid data to be processed;

[0011] The server selects and associates the processed power grid data from all power grid data processing results stored in the server based on the multi-dimensional information corresponding to the target power grid data to be processed;

[0012] The server determines the associated power grid data corresponding to the target power grid data to be processed according to the associated power grid data to be processed and the associated processed power grid data.

[0013] As an optional implementation manner, in the first aspect of the present invention, the server determines the associated power grid data corresponding to the target power grid data to be processed according to the associated power grid data to be processed and the associated processed power grid data, including:

[0014] The server determines whether the associated processed power grid data has a data association relationship with the associated power grid data to be processed;

[0015] When the data association relationship does not exist, the server determines the associated power grid data to be processed and the associated processed power grid data as the associated power grid data corresponding to the target power grid data to be processed;

[0016] When the data association relationship exists, the server performs a prior joint processing operation on the associated processed power grid data and the associated data to be processed according to the data association relationship to obtain a prior power grid data joint processing result, and determines the prior power grid data joint processing result as the associated power grid data corresponding to the target power grid data to be processed.

[0017] As an optional implementation manner, in the first aspect of the present invention, the server performs a joint processing operation on the target power grid data to be processed and the corresponding associated power grid data to obtain a power grid data joint processing result, including:

[0018] The server determines the target joint processing operation to be performed according to the target data association relationship between the target power grid data to be processed and the corresponding associated power grid data;

[0019] When the target joint processing operation is a power grid data adjustment operation, the service end determines the power grid data to be adjusted and the adjustment basis data of the power grid data to be adjusted from the target power grid data to be processed and the corresponding associated power grid data;

[0020] The service end performs the power grid data adjustment operation on the power grid data to be adjusted according to the adjustment basis data, obtains a power grid data adjustment result corresponding to the power grid data to be adjusted, and determines the power grid data adjustment result as a power grid data joint processing result.

[0021] As an optional implementation manner, in the first aspect of the present invention, the server extracts preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, including:

[0022] When the data reporting level is greater than or equal to a preset level threshold, the service end selects first sub-preset key power grid data matching the preset power grid data type from the target power grid data uploaded by the power grid data reporting end according to the preset power grid data type, and selects hierarchical fusion power grid data from the target power grid data as second sub-preset key power grid data;

[0023] The server determines the first sub-preset key power grid data and the second sub-preset key power grid data as preset key power grid data to be verified.

[0024] As an optional implementation manner, in the first aspect of the present invention, the server verifies the preset key power grid data, including:

[0025] The server end divides the preset key power grid data into first power grid data of direct acquisition type and second power grid data of fusion type according to the acquisition type of the preset key power grid data acquired by the power grid data reporting end;

[0026] The service end calculates the data collection credibility of the power grid data reporting end according to the first power grid data, and calculates the data fusion credibility of the power grid data reporting end according to the second power grid data;

[0027] The service end calculates the comprehensive credibility of the power grid data reporting end according to the data collection credibility and the data fusion credibility; if the comprehensive credibility is greater than or equal to a preset credibility threshold, it is determined that the preset key power grid data has been verified.

[0028] As an optional implementation, in the first aspect of the present invention, for any authorized target power grid data reporting terminal that meets the preset reporting level adjustment conditions, the service end adjusts the data reporting level corresponding to the target power grid data reporting terminal based on the historical reporting status of the power grid data corresponding to the target power grid data reporting terminal, the historical operations of the power grid data reported by the target power grid data reporting terminal, and the operation results of the historical operations.

[0029] A second aspect of the present invention discloses a server, which is used to process multi-source power grid data, and includes:

[0030] A verification control module, for any authorized power grid data reporting terminal, when the service terminal receives the power grid data reporting demand of the power grid data reporting terminal, determines the data reporting level corresponding to the power grid data reporting terminal, extracts the preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting terminal according to the data reporting level corresponding to the power grid data reporting terminal, and verifies the preset key power grid data;

[0031] A data determination module, configured to determine the target power grid data as the target power grid data to be processed when the verification control module passes the verification of the preset key power grid data, and determine the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed;

[0032] The data processing module is used to perform a joint processing operation on the target power grid data to be processed and the corresponding associated power grid data to obtain a power grid data joint processing result.

[0033] As an optional implementation, in the second aspect of the present invention, the specific manner in which the data determination module determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed includes:

[0034] Based on the multi-dimensional information corresponding to the target power grid data to be processed, selecting related power grid data to be processed from the power grid data to be processed reported by at least one other power grid data reporting terminal;

[0035] Based on the multi-dimensional information corresponding to the target power grid data to be processed, selecting and associating the processed power grid data from all power grid data processing results stored in the server;

[0036] According to the associated power grid data to be processed and the associated processed power grid data, the associated power grid data corresponding to the target power grid data to be processed is determined.

[0037] As an optional implementation, in the second aspect of the present invention, the data determination module determines the associated power grid data corresponding to the target power grid data to be processed according to the associated power grid data to be processed and the associated processed power grid data in a specific manner including:

[0038] Determining whether the associated processed power grid data has a data association relationship with the associated power grid data to be processed;

[0039] When the data association relationship does not exist, determining the associated power grid data to be processed and the associated processed power grid data as the associated power grid data corresponding to the target power grid data to be processed;

[0040] When the data association relationship exists, a prior joint processing operation is performed on the associated processed power grid data and the associated data to be processed according to the data association relationship to obtain a prior power grid data joint processing result, and the prior power grid data joint processing result is determined as the associated power grid data corresponding to the target power grid data to be processed.

[0041] As an optional implementation, in the second aspect of the present invention, the data processing operation performs a joint processing operation on the target power grid data to be processed and the corresponding associated power grid data, and a specific method of obtaining a power grid data joint processing result includes:

[0042] Determining a target joint processing operation to be performed according to a target data association relationship between the target power grid data to be processed and the corresponding associated power grid data;

[0043] When the target joint processing operation is a power grid data adjustment operation, determining the power grid data to be adjusted and the adjustment basis data of the power grid data to be adjusted from the target power grid data to be processed and the corresponding associated power grid data;

[0044] The power grid data adjustment operation is performed on the power grid data to be adjusted according to the adjustment basis data to obtain a power grid data adjustment result corresponding to the power grid data to be adjusted, and the power grid data adjustment result is determined as a power grid data joint processing result.

[0045] As an optional implementation, in the second aspect of the present invention, the verification control module extracts the preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end. The specific manner includes:

[0046] When the data reporting level is greater than or equal to a preset level threshold, first sub-preset key power grid data matching the preset power grid data type is screened out from the target power grid data uploaded by the power grid data reporting end according to the preset power grid data type, and hierarchical fusion power grid data is screened out from the target power grid data as second sub-preset key power grid data;

[0047] The first sub-preset key power grid data and the second sub-preset key power grid data are determined as preset key power grid data to be verified.

[0048] As an optional implementation, in the second aspect of the present invention, the specific manner in which the data verification module verifies the preset key power grid data includes:

[0049] According to the acquisition type of the preset key power grid data acquired by the power grid data reporting end, the preset key power grid data is divided into first power grid data of direct acquisition type and second power grid data of fusion type;

[0050] Calculate the data collection credibility of the power grid data reporting end according to the first power grid data, and calculate the data fusion credibility of the power grid data reporting end according to the second power grid data;

[0051] The comprehensive credibility of the power grid data reporting terminal is calculated according to the data collection credibility and the data fusion credibility; if the comprehensive credibility is greater than or equal to a preset credibility threshold, it is determined that the preset key power grid data has been verified.

[0052] As an optional implementation manner, in the second aspect of the present invention, the server further includes:

[0053] The level adjustment module is used to adjust the data reporting level corresponding to any target power grid data reporting terminal that is authorized and meets the preset reporting level adjustment conditions, according to the historical reporting situation of the power grid data corresponding to the target power grid data reporting terminal, the historical operation situation of the power grid data reported by the target power grid data reporting terminal, and the operation results of the historical operation situation.

[0054] A third aspect of the present invention discloses another server, which is used to process multi-source power grid data, and includes:

[0055] A memory storing executable program code;

[0056] a processor coupled to the memory;

[0057] The processor calls the executable program code stored in the memory to execute the steps of any one of the intelligent processing methods for multi-source power grid data described in the first aspect of the present invention.

[0058] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the intelligent processing method of multi-source power grid data described in any one of the first aspects of the present invention.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] The present invention is applied to a service end that processes multi-source power grid data. Specifically, for any authorized power grid data reporting end, when the service end receives a power grid data reporting demand from the power grid data reporting end, the service end determines the data reporting level corresponding to the power grid data reporting end, extracts preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, and verifies the preset key power grid data; when the preset key power grid data is verified, the service end determines the target power grid data as the target power grid data to be processed, and determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed; the service end performs a joint processing operation on the target power grid data to be processed and its corresponding associated power grid data to obtain a power grid data joint processing result.

[0061] It can be seen that when the power grid data reporting end has a data reporting demand, the present invention, in addition to requiring the power grid data reporting end to be an authorized power grid data reporting end, can also extract key power grid data from the power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, and verify the extracted key power grid data, which is not only conducive to improving the accuracy and reliability of the power grid data reported by the power grid data reporting end, but also can realize the targeted verification of the power grid data reporting end, thereby improving the verification reliability of the power grid data reporting end. In addition, when processing the power grid data reported by the power grid data reporting end, in addition to considering the reported power grid data, the associated power grid data corresponding to the reported power grid data is further considered, and the power grid data and its corresponding associated power grid data are jointly processed, which is conducive to improving the processing accuracy and processing reliability of the power grid data; in addition, when determining the associated power grid data corresponding to the power grid data to be processed, both the associated power grid data to be processed and the associated processed power grid data can be considered, which is conducive to improving the comprehensiveness and accuracy of the determined associated power grid data; in addition, when determining the associated power grid data based on the associated processed power grid data and the associated power grid data to be processed, the data association relationship between the two can be further considered, and the appropriate associated power grid data determination method is matched according to whether there is a data association relationship between the two, which is conducive to further improving the determination accuracy of the associated power grid data; in addition, when performing a joint processing operation on the power grid data and its corresponding associated power grid data, the joint processing operation to be performed is first determined based on the data association relationship between the two, which is conducive to improving the matching between the determined joint processing operation and the power grid data and its corresponding associated power grid data The matching is beneficial to improve the execution efficiency and reliability of the joint processing operation. Furthermore, if the joint processing operation is a power grid data adjustment operation, the power grid data to be adjusted and the adjustment basis data can be determined first, and then the power grid data adjustment operation is performed, which is beneficial to improve the execution accuracy of the power grid data adjustment operation. In addition, when determining the key power grid data to be verified according to the data reporting level of the power grid data reporting end, it is not only necessary to screen according to the data type, but also to further screen the hierarchical fusion power grid data, which is beneficial to improve the comprehensiveness and accuracy of the determination of the key power grid data to be verified. Furthermore, the credibility of the power grid data reporting end in different dimensions can be calculated according to the two types of power grid data screened out, and then the comprehensive credibility of the power grid data reporting end can be calculated according to the credibility of different dimensions, which is beneficial to improve the verification reliability of the power grid data reporting end. In addition, the adaptive adjustment of the data reporting level of the power grid data reporting end can be realized according to the relevant historical information of the power grid data reporting end, which is beneficial to improve the update efficiency of the data reporting level corresponding to the power grid data reporting end, and can also improve the accuracy and reliability of the data reporting level corresponding to the power grid data reporting end. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0063] Figure 1 It is a flowchart of an intelligent processing method for multi-source power grid data disclosed in an embodiment of the present invention;

[0064] Figure 2 It is a structural diagram of a server disclosed in an embodiment of the present invention;

[0065] Figure 3 It is a structural diagram of another server disclosed in an embodiment of the present invention;

[0066] Figure 4 It is a structural diagram of another server disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0069] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0070] The present invention discloses an intelligent processing method and service end for multi-source power grid data. When a power grid data reporting end has a data reporting demand, in addition to requiring the power grid data reporting end to be an authorized power grid data reporting end, it can also extract key power grid data from the power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, and verify the extracted key power grid data, which is not only conducive to improving the accuracy and reliability of the power grid data reported by the power grid data reporting end, but also can realize the targeted verification of the power grid data reporting end, and improve the verification reliability of the power grid data reporting end. In addition, when processing the power grid data reported by the power grid data reporting end, in addition to considering the reported power grid data, the associated power grid data corresponding to the reported power grid data is further considered, and the power grid data and its corresponding associated power grid data are jointly processed, which is conducive to improving the processing accuracy and processing reliability of the power grid data. The following are detailed descriptions.

[0071] Embodiment 1

[0072] See also Figure 1 , Figure 1 1 is a flow chart of an intelligent processing method for multi-source power grid data disclosed in an embodiment of the present invention. Figure 1 The described method is applied to a server that processes multi-source power grid data. The server may be a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 1 As shown, the intelligent processing method of multi-source power grid data may include the following operations:

[0073] 101. For any authorized power grid data reporting terminal, when the server receives a power grid data reporting demand from the power grid data reporting terminal, the server determines a data reporting level corresponding to the power grid data reporting terminal.

[0074] In an embodiment of the present invention, there are multiple authorized power grid data reporting terminals, and for each power grid data reporting terminal, it needs to first submit registration authentication information to the service end, and the service end verifies the registration authentication information submitted by it. If the verification is passed, the power grid data reporting terminal is assigned the power grid data reporting authority, such as assigning an authorized login name and login password to the power grid data reporting terminal to report the power grid data, or adding the device identifier uniquely corresponding to the power grid data reporting terminal to the authorization database, which is not limited by the embodiment of the present invention. Furthermore, if the data reporting level corresponding to a certain authorized power grid data reporting terminal is greater than or equal to the preset level, when allocating reporting authority to the power grid data reporting terminal, it can be assigned direct data reporting authority and non-direct data reporting authority. Among them, direct data is used to represent the power grid data directly collected by the power grid data reporting terminal, and non-direct data is used to represent the power grid data received by the power grid data reporting terminal from other low data reporting levels.

[0075] The data reporting level can be determined based on the setting area of ​​the power grid data reporting terminal and / or the relevant historical records of the power grid data reported by the power grid data reporting terminal and / or the importance of the reported power grid data. Furthermore, the data reporting level is not fixed and can be adaptively adjusted according to actual conditions.

[0076] 102. The server extracts preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, and verifies the preset key power grid data.

[0077] In the embodiment of the present invention, different data reporting levels need to extract different preset key power grid data, which realizes personalized verification for the power grid data reporting end. It should be particularly noted that: for the power grid data reporting end with a higher data reporting level, the closer the "distance" of reporting power grid data to the service end, for the power grid data reporting end with a lower data reporting level, the farther the "distance" of reporting power grid data to the service end, wherein the aforementioned "distance" is not a physical distance, but the number of levels of other power grid data reporting ends that the power grid data reporting end needs to cross to report power grid data to the service end, and the smaller the aforementioned "distance", the fewer the number of levels of other power grid data reporting ends that the power grid data reporting end needs to cross to report power grid data to the service end, and the larger the aforementioned "distance", the more the number of levels of other power grid data reporting ends that the power grid data reporting end needs to cross to report power grid data to the service end. For example, if the power grid data reporting end is at the maximum data reporting level, it can directly report power grid data to the service end.

[0078] In practical applications, if the data reporting level corresponding to the power grid data reporting terminal is larger, on the one hand, it can be considered that the service end has a higher degree of trust in the power grid data reporting terminal, and the verification process of the power grid data reporting terminal can be simplified, that is: the amount of data corresponding to the preset key power grid data to be verified can be smaller; or, on the other hand, it can be considered that the more important the power grid data reported by the power grid data reporting terminal is, the more attention can be paid to the verification process of the power grid data reporting terminal, that is: the amount of data corresponding to the preset key power grid data to be verified can be smaller. In practical applications, when extracting the preset key power grid data to be verified, a comprehensive consideration can be made based on the degree of trust of the service end in the power grid data reporting terminal and / or the importance of the power grid data reported by the power grid data reporting terminal.

[0079] 103. When the preset key power grid data is verified, the server determines the target power grid data as the target power grid data to be processed, and determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed.

[0080] In an embodiment of the present invention, the multi-dimensional information corresponding to the target power grid data to be processed may include one or more of the data volume corresponding to the target power grid data to be processed, the type of power grid data contained in the target power grid data to be processed, the original data source of the target power grid data to be processed, the abnormal data situation in the target power grid data to be processed, the reporting trigger factor of the abnormal data in the target power grid data to be processed, etc., and the embodiment of the present invention is not limited thereto.

[0081] 104. The server performs a joint processing operation on the target power grid data to be processed and its corresponding associated power grid data to obtain a power grid data joint processing result.

[0082] In the embodiment of the present invention, the power grid data joint processing result obtained by the server performing the joint processing operation is finally stored in the corresponding database. Furthermore, if the server is an authorized node in the blockchain, it is also necessary to report the power grid data joint processing result and its corresponding generation process information to the block for power grid data traceability in the blockchain, which can not only conveniently realize the traceability of the power grid data joint processing result, but also avoid the power grid data joint processing result from being tampered with, thereby improving the accuracy of the power grid data joint processing result.

[0083] Further optionally, the results of the joint processing of power grid data can be used for general data query, can be used to analyze the current operation of the power system in the corresponding area, and can also be used as a reference for optimizing the operation of the power system in the corresponding area, which is not limited in the embodiments of the present invention.

[0084] It can be seen that the method described in the embodiment of the present invention, when the power grid data reporting end has a data reporting demand, in addition to requiring the power grid data reporting end to be an authorized power grid data reporting end, can also extract key power grid data from the power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, and verify the extracted key power grid data, which is not only conducive to improving the accuracy and reliability of the power grid data reported by the power grid data reporting end, but also can realize the targeted verification of the power grid data reporting end, and improve the verification reliability of the power grid data reporting end. In addition, when processing the power grid data reported by the power grid data reporting end, in addition to considering the reported power grid data, the associated power grid data corresponding to the reported power grid data is further considered, and the power grid data and its corresponding associated power grid data are jointly processed, which is conducive to improving the processing accuracy and processing reliability of the power grid data.

[0085] In an optional embodiment, the server determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed, which may include:

[0086] The server selects related power grid data to be processed from the power grid data to be processed reported by at least one other power grid data reporting terminal based on the multi-dimensional information corresponding to the target power grid data to be processed;

[0087] The server selects and associates the processed power grid data from all the power grid data processing results stored in the server based on the multi-dimensional information corresponding to the target power grid data to be processed;

[0088] The server determines the associated power grid data corresponding to the target power grid data to be processed according to the associated power grid data to be processed and the associated processed power grid data.

[0089] In this optional embodiment, the associated processed power grid data includes processed power grid data that has a first influence relationship with the target power grid data to be processed, for example, the aforementioned threshold used when judging whether there is abnormal power grid data in the target power grid data to be processed according to the corresponding threshold is calculated based on the processed power grid data; the associated power grid data to be processed includes power grid data to be processed that has a second influence relationship with the target power grid data to be processed, for example, the target power grid data to be processed and the associated power grid data to be processed are used together as a basis for analyzing abnormal situations, and both are indispensable.

[0090] It can be seen that this optional embodiment can consider both the associated power grid data to be processed and the associated processed power grid data when determining the associated power grid data corresponding to the power grid data to be processed, which is beneficial to improving the comprehensiveness and accuracy of the determined associated power grid data.

[0091] In this optional embodiment, further optionally, the server determines the associated power grid data corresponding to the target power grid data to be processed according to the associated power grid data to be processed and the associated processed power grid data, including:

[0092] The server determines whether the associated processed power grid data has a data association relationship with the associated power grid data to be processed; for example, if the associated power grid data to be processed is currently only the calculation basis of the required power grid data, and the calculation of the required power grid data also depends on the associated processed power grid data, then the two have a data association relationship (that is, a data calculation relationship); or, if the data type of the associated power grid data to be processed is not the required data type, and the data type conversion of the associated power grid data depends on the associated processed power grid data, then the two have a data association relationship (that is, a type conversion relationship);

[0093] When there is no data association relationship, the server determines the associated power grid data to be processed and the associated processed power grid data as the associated power grid data corresponding to the target power grid data to be processed;

[0094] When there is a data association relationship, the server performs a prior joint processing operation (such as a calculation operation and / or a data type conversion operation) on the associated processed power grid data and the associated data to be processed according to the data association relationship, obtains a prior power grid data joint processing result, and determines the prior power grid data joint processing result as the associated power grid data corresponding to the target power grid data to be processed.

[0095] It can be seen that when determining the associated power grid data based on the associated processed power grid data and the associated power grid data to be processed, this optional embodiment can further consider the data association relationship between the two, and match the appropriate method of determining the associated power grid data according to whether there is a data association relationship between the two, which is conducive to further improving the accuracy of determining the associated power grid data.

[0096] In another optional embodiment, the server performs a joint processing operation on the target power grid data to be processed and its corresponding associated power grid data to obtain a power grid data joint processing result, including:

[0097] The server determines the target joint processing operation to be performed according to the target data association relationship between the target power grid data to be processed and its corresponding associated power grid data;

[0098] When the target joint processing operation is a power grid data adjustment operation, the server determines the power grid data to be adjusted and the adjustment basis data of the power grid data to be adjusted from the target power grid data to be processed and its corresponding associated power grid data;

[0099] The server performs a power grid data adjustment operation on the power grid data to be adjusted according to the adjustment basis data, obtains a power grid data adjustment result corresponding to the power grid data to be adjusted, and determines the power grid data adjustment result as a power grid data joint processing result.

[0100] It can be seen that when this optional embodiment performs a joint processing operation on the power grid data and its corresponding associated power grid data, it first determines the joint processing operation to be performed based on the data association relationship between the two, which is beneficial to improving the matching degree between the determined joint processing operation and the power grid data and its corresponding associated power grid data, and further beneficial to improving the execution efficiency and execution reliability of the joint processing operation. Furthermore, if the joint processing operation is a power grid data adjustment operation, it can also first determine the power grid data to be adjusted and the adjustment basis data, and then perform the power grid data adjustment operation, which is beneficial to improving the execution accuracy of the power grid data adjustment operation.

[0101] In this optional embodiment, further optionally, the server extracts preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, including:

[0102] When the data reporting level is greater than or equal to the preset level threshold, the service end selects the first sub-preset key power grid data that matches the preset power grid data type from the target power grid data uploaded by the power grid data reporting end according to the preset power grid data type, and selects the hierarchical fusion power grid data from the target power grid data as the second sub-preset key power grid data; wherein the hierarchical fusion power grid data is the power grid data reported to the above-mentioned power grid data reporting end after other low-level power grid data reporting ends perform data fusion operations on the power grid data reported by the power grid data reporting end of the lower level; the preset power grid data type may specifically be a data type, or may specifically be a device type of a data source device, such as a certain type of sensor, etc.;

[0103] The server determines the first sub-preset key power grid data and the second sub-preset key power grid data as the preset key power grid data to be verified.

[0104] It can be seen that when this optional embodiment determines the key power grid data to be verified according to the data reporting level of the power grid data reporting end, it is necessary not only to filter according to the data type, but also to further filter the hierarchical fusion power grid data, which is beneficial to improve the comprehensiveness and accuracy of the determination of the key power grid data to be verified, and further helps to improve the verification reliability of the power grid data reporting end.

[0105] In yet another optional embodiment, the server verifies preset key power grid data, including:

[0106] The server end divides the preset key power grid data into first power grid data of direct acquisition type and second power grid data of fusion type according to the acquisition type of the preset key power grid data obtained by the power grid data reporting end;

[0107] The service end calculates the data collection credibility of the power grid data reporting end according to the first power grid data, and calculates the data fusion credibility of the power grid data reporting end according to the second power grid data; wherein the data collection credibility can be understood as the credibility of the power grid data reporting end itself, and the data fusion credibility can be understood as the credibility of other low-level power grid data reporting ends managed by the power grid data reporting end;

[0108] The server calculates the comprehensive credibility of the power grid data reporting end based on the data collection credibility and the data fusion credibility; if the comprehensive credibility is greater than or equal to the preset credibility threshold, it is determined that the preset key power grid data has been verified.

[0109] It can be seen that this optional embodiment can also calculate the credibility of the power grid data reporting end in different dimensions based on the two types of screened power grid data, and then calculate the comprehensive credibility of the power grid data reporting end based on the credibility in different dimensions, which is conducive to improving the verification reliability of the power grid data reporting end.

[0110] In yet another optional embodiment, the method may further include:

[0111] For any target power grid data reporting terminal that is authorized and meets the preset reporting level adjustment conditions, the server adjusts the data reporting level corresponding to the target power grid data reporting terminal based on the historical reporting status of the power grid data corresponding to the target power grid data reporting terminal, the historical operations of the power grid data reported by the target power grid data reporting terminal, and the operation results of the historical operations.

[0112] It can be seen that this optional embodiment can also realize adaptive adjustment of the data reporting level of the power grid data reporting end according to the relevant historical information of the power grid data reporting end, which is conducive to improving the update efficiency of the data reporting level corresponding to the power grid data reporting end, and can also improve the accuracy and reliability of the data reporting level corresponding to the power grid data reporting end.

[0113] Embodiment 2

[0114] See also Figure 2 , Figure 2 : is a schematic diagram of the structure of a server disclosed in an embodiment of the present invention. Figure 2 The described server is used to implement a server for processing multi-source power grid data. The server may be a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 2 As shown, the server may include:

[0115] The verification control module 201 is used for any authorized power grid data reporting terminal. When the service end receives the power grid data reporting demand from the power grid data reporting terminal, it determines the data reporting level corresponding to the power grid data reporting terminal, extracts the preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting terminal according to the data reporting level corresponding to the power grid data reporting terminal, and verifies the preset key power grid data;

[0116] The data determination module 202 is used to determine the target power grid data as the target power grid data to be processed when the verification control module verifies the preset key power grid data, and determine the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed;

[0117] The data processing module 203 is used to perform a joint processing operation on the target power grid data to be processed and its corresponding associated power grid data to obtain a power grid data joint processing result.

[0118] It can be seen that implementation Figure 2When the power grid data reporting end has a data reporting demand, the described service end, in addition to requiring the power grid data reporting end to be an authorized power grid data reporting end, can also extract key power grid data from the power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, and verify the extracted key power grid data, which is not only conducive to improving the accuracy and reliability of the power grid data reported by the power grid data reporting end, but also can realize the targeted verification of the power grid data reporting end, and improve the verification reliability of the power grid data reporting end. In addition, when processing the power grid data reported by the power grid data reporting end, in addition to considering the reported power grid data, the associated power grid data corresponding to the reported power grid data is further considered, and the power grid data and its corresponding associated power grid data are jointly processed, which is conducive to improving the processing accuracy and processing reliability of the power grid data.

[0119] In an optional embodiment, the specific manner in which the data determination module 202 determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed includes:

[0120] Based on the multi-dimensional information corresponding to the target power grid data to be processed, selecting the associated power grid data to be processed from the power grid data to be processed reported by at least one other power grid data reporting terminal;

[0121] Based on the multi-dimensional information corresponding to the target power grid data to be processed, the associated processed power grid data is filtered from all power grid data processing results stored on the server;

[0122] According to the associated power grid data to be processed and the associated processed power grid data, the associated power grid data corresponding to the target power grid data to be processed is determined.

[0123] It can be seen that this optional embodiment can consider both the associated power grid data to be processed and the associated processed power grid data when determining the associated power grid data corresponding to the power grid data to be processed, which is beneficial to improving the comprehensiveness and accuracy of the determined associated power grid data.

[0124] In another optional embodiment, the data determination module 202 determines the associated power grid data corresponding to the target power grid data to be processed according to the associated power grid data to be processed and the associated processed power grid data in a specific manner including:

[0125] Determine whether the associated processed power grid data has a data association relationship with the associated power grid data to be processed;

[0126] When there is no data association relationship, the associated power grid data to be processed and the associated processed power grid data are determined as the associated power grid data corresponding to the target power grid data to be processed;

[0127] When there is a data association relationship, a prior joint processing operation is performed on the associated processed power grid data and the associated data to be processed according to the data association relationship to obtain a prior power grid data joint processing result, and the prior power grid data joint processing result is determined as the associated power grid data corresponding to the target power grid data to be processed.

[0128] It can be seen that when determining the associated power grid data based on the associated processed power grid data and the associated power grid data to be processed, this optional embodiment can further consider the data association relationship between the two, and match the appropriate method of determining the associated power grid data according to whether there is a data association relationship between the two, which is conducive to further improving the accuracy of determining the associated power grid data.

[0129] In another optional embodiment, the data processing operation 203 performs a joint processing operation on the target power grid data to be processed and its corresponding associated power grid data, and a specific method of obtaining the power grid data joint processing result includes:

[0130] Determine the target joint processing operation to be performed according to the target data association relationship between the target power grid data to be processed and its corresponding associated power grid data;

[0131] When the target joint processing operation is a power grid data adjustment operation, the power grid data to be adjusted and the adjustment basis data of the power grid data to be adjusted are determined from the target power grid data to be processed and the corresponding associated power grid data;

[0132] A power grid data adjustment operation is performed on the power grid data to be adjusted according to the adjustment basis data to obtain a power grid data adjustment result corresponding to the power grid data to be adjusted, and the power grid data adjustment result is determined as a power grid data joint processing result.

[0133] It can be seen that when this optional embodiment performs a joint processing operation on the power grid data and its corresponding associated power grid data, it first determines the joint processing operation to be performed based on the data association relationship between the two, which is beneficial to improving the matching degree between the determined joint processing operation and the power grid data and its corresponding associated power grid data, and further beneficial to improving the execution efficiency and execution reliability of the joint processing operation. Furthermore, if the joint processing operation is a power grid data adjustment operation, it can also first determine the power grid data to be adjusted and the adjustment basis data, and then perform the power grid data adjustment operation, which is beneficial to improving the execution accuracy of the power grid data adjustment operation.

[0134] In another optional embodiment, the verification control module 201 extracts the preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting terminal according to the data reporting level corresponding to the power grid data reporting terminal. The specific method includes:

[0135] When the data reporting level is greater than or equal to the preset level threshold, first sub-preset key power grid data matching the preset power grid data type is screened out from the target power grid data uploaded by the power grid data reporting end according to the preset power grid data type, and hierarchical fusion power grid data is screened out from the target power grid data as the second sub-preset key power grid data;

[0136] The first sub-preset key power grid data and the second sub-preset key power grid data are determined as the preset key power grid data to be verified.

[0137] It can be seen that when this optional embodiment determines the key power grid data to be verified according to the data reporting level of the power grid data reporting end, it is not only necessary to filter according to the data type, but also to further filter the hierarchical fusion power grid data, which is conducive to improving the comprehensiveness and accuracy of the determination of the key power grid data to be verified.

[0138] In another optional embodiment, the specific manner in which the data verification module 201 verifies the preset key power grid data includes:

[0139] According to the acquisition type of the preset key power grid data acquired by the power grid data reporting terminal, the preset key power grid data is divided into first power grid data of direct acquisition type and second power grid data of fusion type;

[0140] Calculate the data collection credibility of the power grid data reporting end according to the first power grid data, and calculate the data fusion credibility of the power grid data reporting end according to the second power grid data;

[0141] The comprehensive credibility of the power grid data reporting end is calculated based on the data collection credibility and the data fusion credibility; if the comprehensive credibility is greater than or equal to the preset credibility threshold, it is determined that the preset key power grid data has been verified.

[0142] It can be seen that this optional embodiment can also calculate the credibility of the power grid data reporting end in different dimensions based on the two types of screened power grid data, and then calculate the comprehensive credibility of the power grid data reporting end based on the credibility in different dimensions, which is conducive to improving the verification reliability of the power grid data reporting end.

[0143] In yet another optional embodiment, Figure 3 As shown, the server also includes:

[0144] The level adjustment module 204 is used to adjust the data reporting level corresponding to the target power grid data reporting end for any authorized target power grid data reporting end that meets the preset reporting level adjustment conditions, according to the historical reporting situation of the power grid data corresponding to the target power grid data reporting end, the historical operation situation of the power grid data reported by the target power grid data reporting end, and the operation results of the historical operation situation.

[0145] It can be seen that this optional embodiment can also realize adaptive adjustment of the data reporting level of the power grid data reporting end according to the relevant historical information of the power grid data reporting end, which is conducive to improving the update efficiency of the data reporting level corresponding to the power grid data reporting end, and can also improve the accuracy and reliability of the data reporting level corresponding to the power grid data reporting end.

[0146] Embodiment 3

[0147] See also Figure 4 , Figure 4 It is a structural diagram of another server disclosed in an embodiment of the present invention. Figure 4 The described server is used to implement a server for processing multi-source power grid data. The server may be a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 4 As shown, the server may include:

[0148] A memory 301 storing executable program codes;

[0149] a processor 302 coupled to the memory 301;

[0150] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of any one of the intelligent processing methods for multi-source power grid data described in the first embodiment.

[0151] Embodiment 4

[0152] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of any intelligent processing method for multi-source power grid data described in the first embodiment.

[0153] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0154] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, a magnetic disk storage, a magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0155] Finally, it should be noted that the intelligent processing method and service end of multi-source power grid data disclosed in the embodiment of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that the technical solutions recorded in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent processing method for multi-source power grid data, characterized in that: The method is applied to a server for processing multi-source power grid data, and the method comprises: For any authorized power grid data reporting terminal, when the service end receives the power grid data reporting demand of the power grid data reporting terminal, the service end determines the data reporting level corresponding to the power grid data reporting terminal, extracts the preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting terminal according to the data reporting level corresponding to the power grid data reporting terminal, and verifies the preset key power grid data; When the preset key power grid data is verified to be passed, the service end determines the target power grid data as the target power grid data to be processed, and determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed; The server performs a joint processing operation on the target power grid data to be processed and the corresponding associated power grid data to obtain a power grid data joint processing result.

2. The intelligent processing method of multi-source power grid data according to claim 1, characterized in that: The server determines the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed, including: The server selects related power grid data to be processed from the power grid data to be processed reported by at least one other power grid data reporting terminal based on the multi-dimensional information corresponding to the target power grid data to be processed; The server selects and associates the processed power grid data from all power grid data processing results stored in the server based on the multi-dimensional information corresponding to the target power grid data to be processed; The server determines the associated power grid data corresponding to the target power grid data to be processed according to the associated power grid data to be processed and the associated processed power grid data.

3. The intelligent processing method of multi-source power grid data according to claim 2 is characterized in that: The server determines, according to the associated power grid data to be processed and the associated processed power grid data, the associated power grid data corresponding to the target power grid data to be processed, including: The server determines whether the associated processed power grid data has a data association relationship with the associated power grid data to be processed; When the data association relationship does not exist, the server determines the associated power grid data to be processed and the associated processed power grid data as the associated power grid data corresponding to the target power grid data to be processed; When the data association relationship exists, the server performs a prior joint processing operation on the associated processed power grid data and the associated data to be processed according to the data association relationship to obtain a prior power grid data joint processing result, and determines the prior power grid data joint processing result as the associated power grid data corresponding to the target power grid data to be processed.

4. The intelligent processing method for multi-source power grid data according to any one of claims 1 to 3, characterized in that: The server performs a joint processing operation on the target power grid data to be processed and the corresponding associated power grid data to obtain a power grid data joint processing result, including: The server determines the target joint processing operation to be performed according to the target data association relationship between the target power grid data to be processed and the corresponding associated power grid data; When the target joint processing operation is a power grid data adjustment operation, the service end determines the power grid data to be adjusted and the adjustment basis data of the power grid data to be adjusted from the target power grid data to be processed and the corresponding associated power grid data; The service end performs the power grid data adjustment operation on the power grid data to be adjusted according to the adjustment basis data, obtains a power grid data adjustment result corresponding to the power grid data to be adjusted, and determines the power grid data adjustment result as a power grid data joint processing result.

5. The intelligent processing method of multi-source power grid data according to claim 4, characterized in that: The server extracts preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting end according to the data reporting level corresponding to the power grid data reporting end, including: When the data reporting level is greater than or equal to a preset level threshold, the service end selects first sub-preset key power grid data matching the preset power grid data type from the target power grid data uploaded by the power grid data reporting end according to the preset power grid data type, and selects hierarchical fusion power grid data from the target power grid data as second sub-preset key power grid data; The server determines the first sub-preset key power grid data and the second sub-preset key power grid data as preset key power grid data to be verified.

6. The intelligent processing method of multi-source power grid data according to claim 5, characterized in that: The server verifies the preset key power grid data, including: The server end divides the preset key power grid data into first power grid data of direct acquisition type and second power grid data of fusion type according to the acquisition type of the preset key power grid data acquired by the power grid data reporting end; The service end calculates the data collection credibility of the power grid data reporting end according to the first power grid data, and calculates the data fusion credibility of the power grid data reporting end according to the second power grid data; The service end calculates the comprehensive credibility of the power grid data reporting end according to the data collection credibility and the data fusion credibility; if the comprehensive credibility is greater than or equal to a preset credibility threshold, it is determined that the preset key power grid data has been verified.

7. The intelligent processing method of multi-source power grid data according to claim 6, characterized in that: The method further comprises: For any authorized target power grid data reporting terminal that meets the preset reporting level adjustment conditions, the service end adjusts the data reporting level corresponding to the target power grid data reporting terminal based on the historical reporting status of the power grid data corresponding to the target power grid data reporting terminal, the historical operations of the power grid data reported by the target power grid data reporting terminal, and the operation results of the historical operations.

8. A server, characterized in that: The server is used to process multi-source power grid data, and the server includes: A verification control module, for any authorized power grid data reporting terminal, when the service terminal receives the power grid data reporting demand of the power grid data reporting terminal, determines the data reporting level corresponding to the power grid data reporting terminal, extracts the preset key power grid data to be verified from the target power grid data uploaded by the power grid data reporting terminal according to the data reporting level corresponding to the power grid data reporting terminal, and verifies the preset key power grid data; A data determination module, configured to determine the target power grid data as the target power grid data to be processed when the verification control module passes the verification of the preset key power grid data, and determine the associated power grid data corresponding to the target power grid data to be processed based on the multi-dimensional information corresponding to the target power grid data to be processed; The data processing module is used to perform a joint processing operation on the target power grid data to be processed and the corresponding associated power grid data to obtain a power grid data joint processing result.

9. A server, characterized in that: The server is used to process multi-source power grid data, and the server includes: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the steps in the intelligent processing method of multi-source power grid data according to any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, the steps in the intelligent processing method for multi-source power grid data according to any one of claims 1 to 7 are executed.

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