Cloud-side cooperative transformer substation fault monitoring and management system and cloud-side cooperative transformer substation fault monitoring and management method

Abstract

The invention, which relates to the technical field of power fault detection, discloses a cloud-side cooperative transformer substation fault monitoring management system and method, comprising a transformer substation area acquisition module, a data preprocessing module, a fault analysis module and a logic embedding module. The data preprocessing module comprises a data classification unit, a fault marking unit and a data backup unit; the fault analysis module comprises a logic analysis unit and a fault positioning unit. According to the method, the data processing efficiency is effectively improved in a cloud edge collaboration mode, multi-source data are effectively sorted in cooperation with classification drawing of a plurality of information blocks, and the effectiveness of fault type judgment is ensured, the separation of the information blocks is realized and the integrity of the data is ensured in combination with a two-time fault judgment result comparison mode; effective judgment of abnormal stations is realized through the logic embedding module, effective reference data support is provided for judgment of fault inducements of transformer stations, and operation and maintenance of the transformer stations are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of power fault detection, and in particular to a cloud-edge collaborative substation fault monitoring management system and method. Background Art

[0002] Substation fault detection data is multi-source and heterogeneous. How to efficiently process and analyze these massive data, realize data value, and provide data support for the stable operation of the power system is a key issue in current research. In the existing technology, substation fault detection mainly adopts the method of uploading data to the cloud for analysis and processing, that is, using cloud-edge collaboration to improve information processing efficiency. For example, an existing cloud-edge collaborative task management system and method for substation fault detection reduces network transmission delay through cloud-edge collaborative task management, which is conducive to the smooth completion of urgent and time-sensitive tasks. The load prediction method is used to predict the system load situation at the next moment, which improves resource utilization efficiency, has a simple structure, is easy to operate, and is easy to promote.

[0003] However, the existing technology still has the following technical defects in practical applications: First, since different types of fault data require different computing resources, and substations have different requirements and urgency for the time to remove different types of faults, the method of uniformly uploading data to the cloud for analysis and processing is prone to communication congestion, resulting in emergency faults that cannot be removed in time, posing a safety hazard to the substation; secondly, the existing substation fault detection is mainly based on fault recording analysis, which can only locate the fault area and cannot effectively determine the cause of the fault; especially when a chain failure occurs in the substation, the difficulty of judging the cause of the fault is further increased due to the expansion of the fault range, which is not conducive to the subsequent maintenance work; therefore, it is urgent to propose a substation fault detection solution that can ensure efficient data processing and accurate judgment of the cause of the fault. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to provide a cloud-edge collaborative substation fault monitoring and management system and method to solve the problem that conventional fault recording analysis can often only locate the fault area, but lacks the judgment of the cause of the fault. Especially when a substation fault occurs, large-area faults are prone to occur, further increasing the difficulty of fault cause judgment.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In the first aspect, an embodiment of the present invention provides a cloud-edge collaborative substation fault monitoring and management system, which includes a substation area acquisition module, a data preprocessing module, a fault analysis module and a logic embedding module; the substation area acquisition module is used to divide the area according to the power transmission direction of the substation, obtain power blocks, establish an information block secondary aggregation station for the directly managed power blocks and collect fault recording data in the power blocks to obtain block data; the data preprocessing module is used to classify and mark the block data according to the electrical type, obtain the information blocks under the information block secondary aggregation station, make suspected fault judgments according to the information area, and mark the corresponding suspected fault electrical quantities; the fault analysis module is used to make secondary fault judgments based on the suspected fault electrical quantities, and compare the secondary fault judgment results with the suspected faults to obtain the final fault type; the logic embedding module is used to establish a judgment logic for the power transmission change direction and the corresponding electrical quantity change according to the sequence-marked information block secondary aggregation station.

[0008] As a preferred solution of the cloud-edge collaborative substation fault monitoring and management system described in the present invention, wherein: the data preprocessing module includes a data classification unit, a fault marking unit and a data backup unit; the data classification unit is used to classify and mark the block data according to the electrical type to obtain the information block; the data backup unit is used to back up the information blocks under the secondary aggregation station of the adjacent upper-order information block to obtain the reference data in charge of the secondary aggregation station of the current information block; the functions of the fault marking unit include: comparing the information block with the electrical quantities under the historical fault type, obtaining suspected faults, and marking the corresponding electrical quantities of the suspected faults; comparing the reference data in charge and the direct management information according to the judgment logic, and marking abnormal logical changes according to the comparison results.

[0009] As a preferred solution of the cloud-edge collaborative substation fault monitoring and management system described in the present invention, the obtaining of the final fault type includes the following steps: comparing the secondary fault judgment result with the suspected fault. If the secondary fault judgment result is inconsistent with the suspected fault judged by the information block secondary aggregation station, the data backup unit uses the information block secondary aggregation station that stores the backup information of the information blocks under the corresponding information block secondary aggregation station to re-judge the suspected fault. If the re-judgment result is consistent with the secondary fault judgment result, the secondary fault judgment result is used as the final fault type; if the re-judgment result is consistent with the suspected fault, the suspected fault is used as the final fault type; if the secondary fault judgment result is consistent with the suspected fault, the suspected fault is used as the final fault type; if the secondary fault judgment result is consistent with the suspected fault judged by the information block secondary aggregation station, the suspected fault is used as the final fault type.

[0010] As a preferred solution of the cloud-edge collaborative substation fault monitoring and management system described in the present invention, the suspected fault judgment includes the following steps: according to the historical fault type, using a fault recorder to collect electrical quantity change data and establish a fault feature library; comparing the information area with the fault feature library to obtain a suspected fault; the adjacent upper-order information block secondary aggregation station refers to marking the information block secondary aggregation station in order according to the power transmission direction of the substation, and after screening out the first information block secondary aggregation station, the information block secondary aggregation station with a higher adjacent order mark is the adjacent upper-order information block secondary aggregation station; the power transmission change direction includes increase, decrease and unchanged.

[0011] As a preferred solution of the cloud-edge collaborative substation fault monitoring and management system described in the present invention, wherein: the fault analysis module includes a logic analysis unit and a fault location unit; the logic analysis unit is used to judge whether the secondary aggregation station of the fault information block is an abnormal station according to the abnormal logical change marks corresponding to the secondary aggregation stations of different information blocks; the fault location unit is used to make a secondary fault judgment based on the electrical quantity corresponding to the suspected fault, and compare the secondary fault judgment result with the suspected fault. If the secondary fault judgment result is consistent with the suspected fault, it is judged that the corresponding fault occurs.

[0012] As a preferred solution of the cloud-edge collaborative substation fault monitoring and management system described in the present invention, the judgment of whether the fault information block secondary aggregation station is an abnormal station includes the following steps: judging the information block secondary aggregation station with an abnormal logical change mark, if the information block secondary aggregation station with an abnormal logical change mark is a continuous information block secondary aggregation station, then judging the first information block secondary aggregation station with an abnormal logical change mark as an abnormal station; if the information block secondary aggregation station with an abnormal logical change mark is not a continuous information block secondary aggregation station, then dividing the information block secondary aggregation station with an abnormal logical change mark into multiple abnormal stations to be judged according to continuity, and judging the first information block secondary aggregation station among the abnormal stations to be judged as an abnormal station.

[0013] As a preferred solution of the cloud-edge collaborative substation fault monitoring and management system described in the present invention, the secondary fault judgment includes the following steps: according to the historical fault type, using a fault recorder to collect electrical quantity change data and establish a fault feature library; comparing the corresponding electrical quantity of the suspected fault with the fault feature library to obtain a secondary fault judgment result.

[0014] On the second aspect, in order to further solve the safety problems existing in power fault detection, the present invention provides a cloud-edge collaborative substation fault monitoring and management method in an embodiment, which includes: using the substation area acquisition module to divide the area, obtain power blocks and establish an information block secondary aggregation station, collect fault recording data in the power block, and obtain block data; using the data classification unit to classify and mark the block data to obtain information blocks, using the fault marking unit to compare the information blocks with the electrical quantities under the historical fault types to obtain suspected faults, and mark the corresponding electrical quantities of the suspected faults; using the fault location unit to perform secondary fault judgment based on the electrical quantities of the suspected faults, and compare the secondary fault judgment results with the suspected faults. If the two are consistent, it is judged that the corresponding fault has occurred. If If the two are inconsistent, execute the next step; use the data backup unit to back up the information blocks under the adjacent upper-order information block secondary aggregation station to obtain the reference data in charge of the information block secondary aggregation station; use the information block secondary aggregation station that stores the backup information of the information blocks under the corresponding information block secondary aggregation station to make another judgment on the suspected fault and obtain the final fault type; use the logic embedding module to establish the judgment logic of the change direction of power transmission and the corresponding change in electrical quantity, the fault marking unit compares the reference data in charge and the direct management information according to the judgment logic, and marks the abnormal logic change according to the comparison result, and the logic analysis unit judges whether the faulty information block secondary aggregation station is an abnormal station according to the abnormal logic change marks corresponding to different information block secondary aggregation stations.

[0015] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, it implements any step of the cloud-edge collaborative substation fault monitoring and management system as described in the first aspect of the present invention.

[0016] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored, wherein: when the computer program is executed by a processor, it implements any step of the cloud-edge collaborative substation fault monitoring and management system as described in the first aspect of the present invention.

[0017] Beneficial effects of the present invention: The present invention avoids the congestion caused by centralized data processing through the setting of several information block secondary aggregation stations and information block main stations. At the same time, it effectively improves the data processing efficiency in a cloud-edge collaborative manner, and cooperates with the classification of several information blocks to achieve effective organization of multi-source data, which is convenient for the information block secondary aggregation station to make suspected fault judgments based on several directly managed information blocks, and accelerates the secondary fault judgment of the information block main station through the marking of abnormal data. Combined with the method of comparing the results of the two fault judgments, the effectiveness of the fault type judgment is guaranteed. At the same time, in conjunction with the setting of the information backup unit, it can not only realize the division of information blocks and ensure the integrity of data, but also provide reliable support for the final judgment of the fault type; through the setting of the logic embedded module, after the information block secondary aggregation station performs logical comparison based on the directly managed information blocks and the divided reference data, it can achieve effective judgment of the abnormal station, provide effective reference data support for the judgment of the cause of the substation failure, and thus facilitate the operation and maintenance of the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing 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. Among them:

[0019] Figure 1 This is a schematic diagram of the system architecture distribution of a cloud-edge collaborative substation fault monitoring and management system in Example 1.

[0020] Figure 2 This is a principle block diagram of a cloud-edge collaborative substation fault monitoring and management system in Example 1.

[0021] Figure 3 This is a schematic diagram of the distribution of the logic embedded module, the information block main station and the information block secondary aggregation station in Example 1.

[0022] Figure 4 This is a system principle block diagram of the data preprocessing module in Example 1.

[0023] Figure 5 This is a system principle block diagram of the fault analysis module in Example 1.

[0024] Figure 6 This is a schematic diagram of the structure of the computer device in Example 3. DETAILED DESCRIPTION

[0025] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0026] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0027] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0028] Example 1

[0029] Reference Figure 1 to Figure 5 , which is the first embodiment of the present invention, and this embodiment provides a cloud-edge collaborative substation fault monitoring and management system.

[0030] The existing power fault detection methods mainly have the following problems: First, since different types of fault data require different computing resources, and substations have different requirements for the time and urgency of clearing different types of faults, the method of uniformly uploading data to the cloud for analysis and processing is prone to communication congestion, resulting in emergency faults that cannot be cleared in time, posing a safety hazard to the substation; secondly, the existing substation fault detection is mainly based on fault recording analysis, which can only locate the fault area and cannot effectively determine the cause of the fault; especially when a chain failure occurs in the substation, the expansion of the fault range further increases the difficulty of judging the cause of the fault, which is not conducive to the subsequent maintenance work.

[0031] The present application provides an effective solution to the above-mentioned problems. Next, multiple embodiments will be combined to explain in detail how to implement the cloud-edge collaborative substation fault monitoring and management system.

[0032] Figure 1 The following is a schematic diagram of the architecture distribution of a cloud-edge collaborative substation fault monitoring and management system, including:

[0033] Preferably, Figure 2 The figure shows a principle block diagram of a cloud-edge collaborative substation fault monitoring and management system, which includes a substation area acquisition module, a data preprocessing module, a fault analysis module and a logic embedding module.

[0034] Specifically, the substation area collection module is used to divide the area according to the power transmission direction of the substation, obtain power blocks, establish an information block secondary aggregation station for the directly managed power blocks, and collect fault recording data within the power blocks to obtain block data.

[0035] Preferably, the present invention divides the substation into different power blocks and establishes a secondary summary station, which can better collect and manage the fault recording data within the block, effectively improving the accuracy and efficiency of data collection. Compared with traditional substation fault detection, which often collects data from the entire station in a centralized manner and makes it difficult to analyze the cause of the fault in a targeted manner, the substation area collection module can more accurately locate the area where the fault occurs, providing more detailed data for subsequent fault analysis.

[0036] Specifically, the data preprocessing module is used to classify and mark the block data according to the electrical type, obtain the information block under the secondary aggregation station of the information block, make suspected fault judgments based on the information area, and mark the corresponding electrical quantities of suspected faults.

[0037] Specifically, the fault analysis module serves as the information block master station, and is used to make a secondary fault judgment based on the electrical quantity of the suspected fault, and compare the secondary fault judgment result with the suspected fault to obtain the final fault type.

[0038] Specifically, Figure 3 The figure shows the distribution diagram of the logic embedding module, the information block main station and the information block secondary aggregation station. The logic embedding module is used to establish the judgment logic of the power transmission change direction and the corresponding electrical quantity change amount according to the sequence-marked information block secondary aggregation station, where the power transmission change direction includes increase, decrease and unchanged.

[0039] Preferably, logical rules for fault judgment are established based on the power transmission direction and the trend of electrical quantity changes, which fully integrates the physical characteristics of the power system and can better assist in fault location and classification. Compared with traditional fault analysis, which often lacks consideration of the power system topology and transmission laws, and the analysis results are difficult to match the actual power system conditions, the present invention can effectively improve the pertinence and reliability of fault analysis.

[0040] Preferably, Figure 4 The figure shows a system principle block diagram of a data preprocessing module, which includes a data classification unit, a fault marking unit and a data backup unit.

[0041] Specifically, the data classification unit is used to classify and mark the block data according to the electrical type to obtain the information block.

[0042] Specifically, the functions of the fault marking unit include: comparing the information block with the electrical quantities under the historical fault type, obtaining the suspected fault, and marking the corresponding electrical quantities of the suspected fault.

[0043] The reference data under charge and the directly managed information are compared according to the judgment logic, and abnormal logical changes are marked according to the comparison results.

[0044] Furthermore, the suspected fault judgment includes the following steps: according to the historical fault type, a fault recorder is used to collect electrical quantity change data and establish a fault feature library.

[0045] The information area is compared with the fault feature library to obtain suspected faults.

[0046] Specifically, the data backup unit is used to back up information of subordinate information blocks of the adjacent upper-order information block secondary summary station to obtain the reference data in charge of the current information block secondary summary station.

[0047] Furthermore, the adjacent upper-order information block secondary aggregation station refers to the information block secondary aggregation station that is marked in order according to the power transmission direction of the substation. After the first information block secondary aggregation station is screened out, the information block secondary aggregation station with the higher adjacent order mark is the adjacent upper-order information block secondary aggregation station.

[0048] Preferably, by constructing a data preprocessing module, the collected data is classified and marked, suspected faults are judged and information is backed up, so that the fault information that needs to be analyzed in detail can be effectively screened out, thereby improving the pertinence and accuracy of subsequent fault analysis. Compared with traditional substation fault detection, which requires manual analysis of a large amount of raw data and is inefficient, the present invention can automatically complete data classification and suspected fault judgment, reduce labor resource consumption, and improve fault detection efficiency.

[0049] Preferably, Figure 5 The figure shows a system principle block diagram of a fault analysis module, which includes a logic analysis unit and a fault location unit.

[0050] Specifically, the logic analysis unit is used to determine whether the faulty information block secondary aggregation station is an abnormal station according to the abnormal logic change marks corresponding to the different information block secondary aggregation stations.

[0051] Furthermore, determining whether the faulty information block secondary aggregation station is an abnormal station includes the following steps: determining the information block secondary aggregation station with an abnormal logic change mark; if the information block secondary aggregation station with the abnormal logic change mark is a continuous information block secondary aggregation station, determining the first information block secondary aggregation station with the abnormal logic change mark to be an abnormal station.

[0052] If the information block secondary aggregation station with the abnormal logical change mark is not a continuous information block secondary aggregation station, the information block secondary aggregation station with the abnormal logical change mark will be divided into multiple abnormal stations to be judged according to continuity, and the first information block secondary aggregation station among the abnormal stations to be judged will be judged as an abnormal station.

[0053] Specifically, the fault location unit is used to perform a secondary fault judgment based on the electrical quantity corresponding to the suspected fault, and compare the secondary fault judgment result with the suspected fault. If the secondary fault judgment result is consistent with the suspected fault, it is determined that the corresponding fault occurs.

[0054] Furthermore, the secondary fault judgment includes the following steps: according to the historical fault type, a fault recorder is used to collect electrical quantity change data and establish a fault feature library.

[0055] The corresponding electrical quantity of the suspected fault is compared with the fault feature library to obtain the secondary fault judgment result.

[0056] Preferably, comparing the secondary fault judgment result with the suspected fault to obtain the final fault type includes the following steps: comparing the secondary fault judgment result with the suspected fault; if the secondary fault judgment result is inconsistent with the suspected fault judged by the information block secondary aggregation station, the data backup unit uses the information block secondary aggregation station that stores the backup information of the information blocks under the corresponding information block secondary aggregation station to re-judge the suspected fault; if the re-judgment result is consistent with the secondary fault judgment result, the secondary fault judgment result is used as the final fault type.

[0057] If the re-judgment result is consistent with the suspected fault, the suspected fault will be taken as the final fault type.

[0058] If the secondary fault judgment result is consistent with the suspected fault judged by the secondary aggregation station of the information block, the suspected fault will be taken as the final fault type.

[0059] Preferably, by utilizing secondary fault judgment and final fault type judgment, the present invention can more accurately determine the fault type, especially by utilizing the backup data of adjacent information blocks for re-judgment, further verifying the preliminary judgment result and improving the reliability of the judgment; the construction of the fault analysis module makes full use of historical fault data, establishes a fault feature library, realizes intelligent judgment of fault types, and effectively improves the accuracy and efficiency of fault analysis.

[0060] In summary, the present invention avoids the congestion caused by centralized data processing through the setting of several information block secondary aggregation stations and information block main stations. At the same time, it effectively improves the data processing efficiency in a cloud-edge collaborative manner, and cooperates with the classification of several information blocks to achieve effective organization of multi-source data, which is convenient for the information block secondary aggregation station to make suspected fault judgments based on several directly managed information blocks, and accelerates the secondary fault judgment of the information block main station through the marking of abnormal data. Combined with the method of comparing the results of the two fault judgments, the effectiveness of the fault type judgment is guaranteed. At the same time, in conjunction with the setting of the information backup unit, it can not only realize the division of information blocks and ensure the integrity of the data, but also provide reliable support for the final judgment of the fault type. Through the setting of the logic embedded module, after the information block secondary aggregation station performs a logical comparison based on the directly managed information blocks and the divided reference data, it can achieve effective judgment of the abnormal station, and provide effective reference data support for the judgment of the cause of the substation failure, thereby facilitating the operation and maintenance of the substation.

[0061] Embodiment 2 is an embodiment of the present invention, which provides a cloud-edge collaborative substation fault monitoring and management method, including: using the substation area acquisition module to divide the area, obtain power blocks and establish an information block secondary aggregation station, collect fault recording data in the power block, and obtain block data; using the data classification unit to classify and mark the block data to obtain information blocks, using the fault marking unit to compare the information block with the electrical quantity under the historical fault type to obtain a suspected fault, and mark the corresponding electrical quantity of the suspected fault; using the fault location unit to perform a secondary fault judgment based on the electrical quantity of the suspected fault, and compare the secondary fault judgment result with the suspected fault. If the two are consistent, it is judged that the corresponding fault occurs; if the two are inconsistent, then Execute the next step; use the data backup unit to back up the information blocks under the adjacent upper-order information block secondary aggregation station to obtain the reference data in charge of the information block secondary aggregation station; use the information block secondary aggregation station that stores the backup information of the information blocks under the corresponding information block secondary aggregation station to re-judge the suspected fault and obtain the final fault type; use the logic embedding module to establish the judgment logic of the change direction of power transmission and the corresponding change amount of electrical quantity, the fault marking unit compares the reference data in charge and the direct management information according to the judgment logic, and marks the abnormal logic change according to the comparison result, and the logic analysis unit judges whether the faulty information block secondary aggregation station is an abnormal station according to the abnormal logic change marks corresponding to different information block secondary aggregation stations.

[0062] Embodiment 3 is an embodiment of the present invention, which is different from the previous embodiment in that:

[0063] like Figure 6As shown, if the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0064] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0065] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0066] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0067] Example 4 is an embodiment of the present invention, which provides a cloud-edge collaborative substation fault monitoring and management system. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0068] In this embodiment, 10 220kV substations under a provincial power grid company are selected as test objects. They are connected in series through a 500kV transmission line. In order to verify the effectiveness of the cloud-edge collaborative task management system of the present invention, a 6-month fault detection test is carried out on the substations. First, these substations are numbered S1 to S10 from upstream to downstream according to the direction of power transmission, and an information block secondary aggregation station is set up in each substation. An intelligent fault recorder is installed in each substation with a sampling frequency of 10kHz.

[0069] During the implementation process, the 10 substations were first divided into regions through the substation area acquisition module, and two adjacent substations were divided into a power block, forming a total of 9 power blocks (D1~D9). Each power block was equipped with an edge computing server for real-time collection and pre-processing of fault recording data; the data pre-processing module adopted a distributed storage architecture to classify and mark the collected data according to voltage class (V class), current class (I class), and power class (P class); at the same time, the system established a historical fault feature library containing typical fault types such as short circuit faults, ground faults, and circuit breaker faults.

[0070] During the fault analysis process, this example adopts a dual judgment mechanism; first, the fault marking unit intelligently matches the real-time collected electrical quantities with the historical fault feature library, and uses an improved dynamic time warping algorithm to perform waveform similarity analysis, with the similarity threshold set to 85%; when a suspected fault is detected, the system automatically triggers the secondary fault judgment mechanism, and uses a deep learning-based fault feature extraction algorithm to extract the time domain and frequency domain characteristics of the fault waveform to build a fault discrimination model.

[0071] In order to improve the accuracy of fault location, a data backup mechanism is introduced for the secondary aggregation station of the adjacent upper-order information block. When the S(n) site detects a suspected fault, the system automatically calls the historical data of the S(n-1) site as a reference, and establishes a logical relationship for fault judgment by comparing and analyzing the direction of change in power transmission and the change in electrical quantity.

[0072] In terms of logic embedding, this example uses an improved decision tree algorithm to quantify the correspondence between the direction of power transmission change and the amount of electrical quantity change into judgment rules; by setting the voltage change threshold to ±5%, the current change threshold to ±10%, and the power change threshold to ±15%, a complete abnormal logic judgment system is established. When an abnormality is detected, the system will automatically mark the abnormal logic change and determine whether it is a secondary aggregation station of the fault information block through the logic analysis unit.

[0073] In this example, the traditional single-site detection, the method of the present invention (without backup mechanism), the method of the present invention (single backup) and the method of the present invention (complete solution) are compared and tested from three aspects: fault detection accuracy, reliability index and data processing efficiency. Table 1 is a comparison table of fault detection accuracy.

[0074] Table 1 Fault detection accuracy comparison table

[0075] Test scenario Fault detection accuracy (%) Fault location accuracy (m) Traditional single-site testing 85.3 150 The method of the present invention (without backup mechanism) 91.2 95 The method of the present invention (single backup) 94.5 85 The method of the present invention (complete scheme) 98.3 65

[0076] It can be seen from Table 1 that in terms of fault detection accuracy, based on the dual judgment mechanism and data backup cross-validation mechanism proposed in the present invention, compared with the traditional single-site detection method, the present invention effectively improves the accuracy of fault detection; by introducing the power transmission change direction analysis and logic embedding mechanism, the present invention achieves higher positioning accuracy. This high-precision fault location capability has important practical significance for rapid fault handling and equipment maintenance.

[0077] As shown in Table 2, which is a reliability index comparison table, it can be found through step-by-step analysis of the data that with the gradual improvement of the backup mechanism, the reliability of the system is gradually improved, which verifies the effectiveness of the multi-level backup and cross-validation mechanism proposed in the present invention, and shows that the present invention significantly reduces the false alarm rate and missed alarm rate of the system.

[0078] Table 2 Reliability index comparison table

[0079] Test scenario False alarm rate (%) Missing rate (%) Traditional single-site testing 8.5 6.2 The method of the present invention (without backup mechanism) 5.8 4.1 The method of the present invention (single backup) 4.2 3.3 The method of the present invention (complete scheme) 2.3 1.8

[0080] Table 3 shows a comparison table of data processing efficiency.

[0081] Table 3 Data processing efficiency comparison table

[0082] Test scenario Response time (ms) Data processing efficiency (Mb / s) Traditional single-site testing 280 45 The method of the present invention (without backup mechanism) 180 75 The method of the present invention (single backup) 165 72 The method of the present invention (complete scheme) 145 68

[0083] As can be seen from the above table, the present invention effectively shortens the fault detection response time through the distributed edge computing architecture and optimized data processing flow. Even when the complete data backup and cross-validation mechanism are enabled, the system still maintains a low response time, indicating the optimization effect of the present invention in terms of algorithm efficiency and system architecture. Through the optimized edge computing architecture and data classification storage strategy, the present invention maintains a high data processing efficiency, effectively balancing the system performance while ensuring detection accuracy.

[0084] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A cloud-edge collaborative substation fault monitoring and management system, characterized by: include: Substation area acquisition module, data preprocessing module, fault analysis module and logic embedding module; The substation area collection module is used to divide the area according to the power transmission direction of the substation to obtain power blocks, establish an information block secondary summary station for the directly managed power blocks and collect fault recording data in the power blocks to obtain block data; The data preprocessing module is used to classify and mark the block data according to the electrical type, obtain the information block under the secondary aggregation station of the information block, make a suspected fault judgment according to the information area, and mark the corresponding electrical quantity of the suspected fault; The fault analysis module is used to perform secondary fault judgment based on the electrical quantity of the suspected fault, and compare the secondary fault judgment result with the suspected fault to obtain the final fault type; The logic embedding module is used to establish the judgment logic of the power transmission change direction and the corresponding electrical quantity change amount according to the information block secondary aggregation station with the sequence mark.

2. The cloud-edge collaborative substation fault monitoring and management system according to claim 1, characterized in that: The data preprocessing module includes a data classification unit, a fault marking unit and a data backup unit; The data classification unit is used to classify and mark the block data according to the electrical type to obtain the information block; The data backup unit is used to back up the information blocks under the secondary summary station of the adjacent upper-order information blocks to obtain the reference data in charge of the secondary summary station of the current information block; The functions of the fault marking unit include: Compare the information block with the electrical quantities under the historical fault type, obtain the suspected fault, and mark the corresponding electrical quantities of the suspected fault; Compare the reference data in charge and the direct management information according to the judgment logic, and mark abnormal logical changes based on the comparison results.

3. The cloud-edge collaborative substation fault monitoring and management system according to claim 2, characterized in that: Determining the final fault type comprises the following steps: The secondary fault judgment result is compared with the suspected fault. If the secondary fault judgment result is inconsistent with the suspected fault judged by the information block secondary aggregation station, the data backup unit uses the information block secondary aggregation station storing the backup information of the information block under the corresponding information block secondary aggregation station to judge the suspected fault again. If the re-judgment result is consistent with the secondary fault judgment result, the secondary fault judgment result is used as the final fault type; If the re-judgment result is consistent with the suspected fault, the suspected fault will be taken as the final fault type; If the secondary fault judgment result is consistent with the suspected fault judged by the secondary aggregation station of the information block, the suspected fault will be taken as the final fault type.

4. The cloud-edge collaborative substation fault monitoring and management system according to claim 3, characterized in that: The suspected fault judgment comprises the following steps: According to the historical fault types, the fault recorder is used to collect the electrical quantity change data and establish the fault feature library; Compare the information area with the fault feature library to obtain suspected faults; The adjacent upper-order information block secondary summary station refers to the information block secondary summary station being marked in order according to the power transmission direction of the substation. After the first information block secondary summary station is screened out, the information block secondary summary station with the highest adjacent order mark is the adjacent upper-order information block secondary summary station; The power transmission change direction includes increase, decrease and unchanged.

5. The cloud-edge collaborative substation fault monitoring and management system according to claim 4, characterized in that: The fault analysis module includes a logic analysis unit and a fault location unit; The logic analysis unit is used to determine whether the fault information block secondary aggregation station is an abnormal station according to the abnormal logic change marks corresponding to the secondary aggregation stations of different information blocks; The fault location unit is used to perform secondary fault judgment based on the electrical quantity corresponding to the suspected fault, and compare the secondary fault judgment result with the suspected fault. If the secondary fault judgment result is consistent with the suspected fault, it is judged that the corresponding fault occurs.

6. The cloud-edge collaborative substation fault monitoring and management system according to claim 5, characterized in that: The determination of whether the fault information block secondary aggregation station is an abnormal station comprises the following steps: The secondary aggregation station of the information block with the abnormal logic change mark is judged. If the secondary aggregation station of the information block with the abnormal logic change mark is a continuous secondary aggregation station of the information block, the first secondary aggregation station of the information block with the abnormal logic change mark is judged as an abnormal station; If the information block secondary aggregation station with the abnormal logical change mark is not a continuous information block secondary aggregation station, the information block secondary aggregation station with the abnormal logical change mark will be divided into multiple abnormal stations to be judged according to continuity, and the first information block secondary aggregation station among the abnormal stations to be judged will be judged as an abnormal station.

7. The cloud-edge collaborative substation fault monitoring and management system according to claim 6, characterized in that: The secondary fault judgment comprises the following steps: According to the historical fault types, the fault recorder is used to collect the electrical quantity change data and establish the fault feature library; The corresponding electrical quantity of the suspected fault is compared with the fault feature library to obtain the secondary fault judgment result.

8. A cloud-edge collaborative substation fault monitoring and management method, based on the cloud-edge collaborative substation fault monitoring and management system according to any one of claims 1 to 7, characterized in that: include, Use the substation area acquisition module to divide the area, obtain the power block and establish the secondary summary station of the information block to collect the fault recording data in the power block and obtain the block data; Using the data classification unit to classify and mark the block data to obtain the information block, using the fault marking unit to compare the information block with the electrical quantity under the historical fault type to obtain the suspected fault, and marking the corresponding electrical quantity of the suspected fault; The fault location unit is used to perform secondary fault judgment according to the electrical quantity of the suspected fault, and the secondary fault judgment result is compared with the suspected fault. If the two are consistent, it is determined that the corresponding fault occurs. If the two are inconsistent, the next step is executed; Using the data backup unit to back up the information blocks under the secondary summary station of the adjacent upper-order information blocks, and obtain the reference data in charge of the secondary summary station of the information blocks; The suspected fault is re-judged by using the information block secondary aggregation station storing the backup information of the information block under the corresponding information block secondary aggregation station to obtain the final fault type; The logic embedding module is used to establish the judgment logic of the change direction of power transmission and the corresponding change amount of electrical quantity. The fault marking unit compares the divided reference data and the direct management information according to the judgment logic, and marks the abnormal logic change according to the comparison result. The logic analysis unit determines whether the secondary aggregation station of the fault information block is an abnormal station according to the abnormal logic change mark corresponding to the secondary aggregation station of different information blocks.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the cloud-edge collaborative substation fault monitoring and management system described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the cloud-edge collaborative substation fault monitoring and management system described in any one of claims 1 to 7 are implemented.

Images