A digital power house-based device fault analysis processing method and device

Abstract

The application provides a device fault analysis processing method and device based on a digital power room, specifically, fault data generated by a device of the digital power room in an operation process is acquired in real time, data analysis is performed on the fault data after the fault data is parsed through a first container and a second container constructed in advance, and the data analysis process based on a knowledge graph makes fault positioning more rapid and efficient, the technical scheme of the application can timely process fault problems occurring in the operation process of different devices in multiple digital power rooms, improves the operation efficiency of a power network, and effectively reduces the maintenance cost of the digital power room device.

Description

Technical Field

[0001] This invention relates to the field of power distribution room control systems, and more specifically to a method and apparatus for analyzing and handling equipment faults based on digital power distribution rooms. Background Technology

[0002] Digital substations achieve efficient and reliable operation of power distribution systems by applying digital and intelligent technologies to the management of substations. However, the analysis of faults in digital substations during operation still faces challenges, such as insufficient comprehensiveness and real-time performance of fault analysis, which has slowed down the digitalization and intelligentization development of digital substations.

[0003] Existing technologies for fault analysis in digital power distribution rooms involve various technical solutions. For example, the invention patent with an application date of November 27, 2023, and authorization announcement number CN117289745B, discloses a method for monitoring the operation of a digital power distribution room. This method generates an abnormal alarm command based on abnormal equipment values ​​through a power distribution room monitoring platform and obtains abnormal equipment. Then, it analyzes and correlates relevant parameters based on the information obtained from the abnormal equipment. This solves the problem that existing intelligent monitoring platforms and methods for power distribution rooms cannot monitor various electrical equipment in the power distribution room, cannot detect abnormalities in electrical equipment in a timely manner, and cannot perform fault repairs, resulting in long power outage times due to maintenance. However, this technical solution associates all equipment information with abnormal equipment, making it easier for maintenance personnel to view historical maintenance causes and find faults in a shorter time. However, this solution requires waiting for maintenance personnel to handle the problem on-site and cannot effectively improve the fault clearance rate. For example, the invention patent with the application date of November 24, 2023 and the authorization announcement number CN117294023B discloses a remote monitoring method and system for operating equipment. It realizes abnormal monitoring of target equipment by setting descriptive factor datasets. However, it cannot handle situations where multiple equipment faults may exist simultaneously in the power distribution room or a single equipment has the same fault code corresponding to different fault handling methods.

[0004] As can be seen from the above, although there are various fault analysis methods for digital substations in the existing technology, they cannot clear faults in a timely and efficient manner in practice, which reduces work efficiency and poses safety risks to the operation of the power network. Therefore, this application proposes a fault analysis and processing method for equipment based on digital substations to solve the existing technical problems. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention proposes a method and apparatus for analyzing and processing equipment faults based on a digital power room.

[0006] Firstly, this invention proposes a method for analyzing and handling equipment faults in digital power substations, which aims to ensure timely and effective handling of equipment faults in digital power substations. At the same time, based on the priority settings of different devices, faults can be prioritized and eliminated according to the importance of different devices, thereby reducing the maintenance or service costs caused by power network faults.

[0007] The equipment fault analysis and handling method based on digital power supply rooms includes the following steps: Real-time acquisition of fault data generated by the equipment in the digital power room during operation; The fault data is parsed. If first feature data is extracted, the first feature data is input into a pre-built first container knowledge graph for first fault analysis processing to obtain fault handling pattern data corresponding to the first feature data. If second feature data is extracted, the second feature data is simultaneously input into the first container and the pre-built fault analysis processing knowledge graph for second fault analysis processing to generate fault handling pattern data corresponding to the second feature data. The digital power room processes the equipment based on the received fault handling mode data to achieve fault analysis and handling of the equipment.

[0008] As a further improvement of the present invention, the step of acquiring fault data generated by the equipment in the digital power room during operation in real time includes: the digital power room monitors alarm information data generated by the equipment during operation in real time; if any one or more of the equipment generates one or more unrelated alarm information data at the same time, a first sub-fault data is generated; if the same equipment generates multiple alarm information data at the same time, and / or, alarm information data of the same type from multiple different equipment at the same time, a second sub-fault data is generated; the fault data includes the first sub-fault data and / or the second sub-fault data.

[0009] As a further improvement of the present invention, the step of parsing the fault data includes: parsing the type of the fault data, extracting the data type characteristics of the fault data and the device; if the data type characteristics are the same as the characteristics of the first sub-fault data, then the first sub-fault data is used as the first feature data; if the data type characteristics are the same as the characteristics of the second sub-fault data, then the second sub-fault data is used as the second feature data; if the data type characteristics include the characteristics of the first sub-fault data and the second sub-fault data, then the first sub-fault data of the fault data is used as the first feature data and the second sub-fault data is used as the second feature data.

[0010] As a further improvement of the present invention, the step of acquiring fault data generated by the equipment in the digital power room during operation in real time includes a step of pre-establishing a fault handling mode knowledge graph before the step of acquiring fault data in real time. Specifically, this involves: establishing a first container based on equipment data and a second container based on fault handling mode data, and constructing a fault handling mode knowledge graph based on the mapping relationship between equipment and fault handling modes; wherein, the first container stores the coded data of different equipment with different digital power room identifiers, and the second container stores the fault handling mode data corresponding to different fault data; establishing a mapping relationship between the coded data of different equipment in the first container and the fault handling mode data in the second container, and generating a fault handling mode knowledge graph based on the mapping relationship established between all the coded data of all equipment in the first container and all the fault handling mode data in the second container.

[0011] As a further improvement of the present invention, the step of establishing a first container based on device data includes: dividing the first container into a data storage area and a dynamic data update area, wherein the data storage area stores the corresponding device data based on different digital substations, and each data storage area corresponds to the coded data corresponding to the digital substation; establishing a mapping relationship between the same devices in different digital substations to generate a knowledge graph of the first container; wherein the device data includes a unique identifier for the digital substation, a unique identifier for the device, and a unique identifier for different fault data; and the dynamic data update area forms a dynamic sorted dataset of digital substation levels and digital substation device levels based on the importance of different devices in each digital substation during the working process.

[0012] As a further improvement of the present invention, the step of inputting the first feature data into a pre-constructed first container knowledge graph for first fault analysis processing to obtain one or more fault handling pattern data corresponding to the fault data includes: identifying the first feature data as first sub-fault data, scheduling the first sub-fault data to a first container, the first container matching the first sub-fault data in the first container knowledge graph to generate a device type dataset corresponding to the first sub-fault data, obtaining a fault handling pattern dataset corresponding to the first sub-fault dataset from the fault handling pattern knowledge graph based on the device type dataset, and if the corresponding fault handling pattern dataset is a unique fault handling pattern data, sending a fault handling pattern data corresponding to the fault data to the digital power room to realize device fault analysis processing.

[0013] As a further improvement of the present invention, in the step of obtaining the fault handling pattern dataset corresponding to the first sub-fault dataset from the fault handling pattern knowledge graph based on the device type dataset, if the corresponding fault handling pattern dataset includes multiple fault handling pattern data, the multiple fault handling pattern data are sorted according to a preset rule, and the fault handling pattern data with the first position in the sort is sent to the digital power room. If the fault is not eliminated, the fault handling pattern data is sent according to the sort until the fault is eliminated and then the sending of fault handling pattern data stops. The preset rule is a success rate order rule generated based on the success rate data carried in multiple fault handling pattern data of the same fault data.

[0014] As a further improvement of the present invention, the step of simultaneously inputting the second feature data into the first container and the pre-built fault analysis and processing knowledge graph for second fault analysis and processing to generate fault processing pattern data corresponding to the second feature data includes: After parsing the fault data, the second feature data is extracted, and the second sub-fault data is used as the second feature data; The second sub-fault data is sent as concurrent thread data to the first container and the fault analysis and processing knowledge graph. The devices are prioritized in the first container, and the fault processing pattern dataset corresponding to the second sub-fault data is matched in the fault analysis and processing knowledge graph. In this process, after the second sub-fault dataset is sent to the first container as concurrent thread data, device information matching is performed in the dynamic data update area of ​​the first container to generate a device information dataset to be sent based on the priority of the digital power room and the priority of the devices in the digital power room. After the fault handling mode dataset is matched, the data in the fault handling mode dataset is sorted according to the preset rules and then added to the device information dataset to be sent according to the thread identifier to generate fault handling mode data corresponding to the second feature data.

[0015] Secondly, the present invention proposes a device for analyzing and processing equipment faults based on a digital power room, which is used to implement the method of the first aspect.

[0016] A device for analyzing and processing equipment faults based on a digital power room includes: The acquisition module is used to acquire fault data generated by the equipment in the digital power room during operation in real time; The analysis module is used to parse the fault data. If first feature data is extracted, the first feature data is input into a pre-built first container knowledge graph for first fault analysis processing to obtain fault handling pattern data corresponding to the first feature data. If second feature data is extracted, the second feature data is simultaneously input into the first container and the pre-built fault analysis processing knowledge graph for second fault analysis processing to generate fault handling pattern data corresponding to the second feature data. The processing module is used by the digital power room to process the equipment according to the received fault handling mode data in order to realize the fault analysis and processing of the equipment.

[0017] As a further improvement of the present invention, the analysis module includes a first container and a second container, wherein: The first container includes a data storage area and a dynamic data update area. The data storage area stores the corresponding device data based on different digital substations. Each data storage area corresponds to the coded data corresponding to the digital substation. A mapping relationship is established between the same devices in different digital substations to generate a knowledge graph for the first container. The second container is used to establish a fault handling pattern knowledge graph. The fault handling pattern knowledge graph is mapped to the knowledge graph of the first container. Based on the fault data, corresponding fault handling pattern data is generated to process the faults of the equipment and realize the fault analysis and processing of the equipment.

[0018] This invention proposes a method and apparatus for analyzing and processing equipment faults in digital power substations. Specifically, it involves acquiring fault data generated by the equipment in the digital power substation during operation in real time, parsing the fault data, and then performing data analysis through a pre-constructed first and second container. The knowledge graph-based data analysis process makes fault location faster and more efficient. The technical solution of this invention can promptly handle fault problems that occur during the operation of different equipment in multiple digital power substations, improve the operating efficiency of the power network, and effectively reduce the maintenance cost of digital power substation equipment. Attached Figure Description

[0019] Figure 1 This is a diagram illustrating the application scenario of equipment fault analysis and processing based on digital power rooms proposed in this invention.

[0020] Figure 2 This is a flowchart of the equipment fault analysis and processing method based on digital power room proposed in this invention.

[0021] Figure 3 This is a schematic diagram of the first container data storage area in an embodiment of the equipment fault analysis and processing method based on a digital power room proposed in this invention.

[0022] Figure 4 This is a framework diagram of the equipment fault analysis and processing device based on a digital power room proposed in this invention. Detailed Implementation

[0023] The present application will now be described in further detail with reference to the accompanying drawings. It should be noted that the following specific embodiments are only used to further illustrate the present application and should not be construed as limiting the scope of protection of the present application. Those skilled in the art can make some non-essential improvements and adjustments to the present application based on the above application content.

[0024] In new power systems dominated by new energy sources, the reliability of power supply to users faces increasing challenges due to the large-scale integration of distributed and fragmented new energy sources on the user side. The use of digital substations, formed by applying digital and intelligent technologies to distribution rooms, enables effective monitoring of equipment operation and provides support for the reliable operation of equipment in the digital substation through real-time analysis of fault knowledge graph data.

[0025] Figure 1 This invention illustrates an application scenario for equipment fault analysis and processing based on a digital power room. This scenario is applied to both the local and remote service sides of the equipment in the digital power room. The fault analysis and processing of the equipment in the digital power room is achieved by the service side analyzing and processing the data received from the local side equipment.

[0026] like Figure 1 As shown, the service side 101 establishes communication with one or more local digital substations 102. It can be understood that the service side can establish remote communication with one or more digital substations 102, or it can establish short-range communication with one or more digital substations 102. In actual digital substation construction, some digital substations in certain areas are crucial for the safe operation of the power network, and some digital substations may be large in scale, requiring a local service side for monitoring and management. Therefore, the location of the service side needs to be specifically set according to the construction mode of the digital substations, so that different digital substations can be monitored and managed according to their importance. Alternatively, several digital substations 102 can be monitored using a single service side. If this service side cannot perform data analysis effectively, then communication can be established with the remote service side 101 to achieve fault data analysis and processing.

[0027] It should be noted that the operating equipment in the multiple digital power substations 102 may be the same or different, and the operating processes of different digital power substations are set according to the current operating environment of the digital power substation. Secondly, after the digital power substations are built and communication is established with the server side 101, a dataset of operational fault codes for the equipment in different digital power substations is pre-built. Based on this dataset, a corresponding fault data processing mode is provided. The fault data processing mode is sent to the digital power substation via data and controls the corresponding faulty equipment to operate and eliminate the fault. Therefore, the server side actually stores the corresponding processing data for operational faults of different equipment in each digital power substation. When a device malfunctions, it retrieves the corresponding processing data from the server side to perform the appropriate operation.

[0028] In practice, the server cannot completely store all the operation mode data corresponding to all fault codes. Some actual faults may also require the intervention of maintenance personnel. However, it should be noted that sending fault operation data to maintenance personnel for timely processing is not the content to be protected by this invention. The purpose of this invention is the process of analyzing and processing data from different digital substations. The technical solution of this invention will be described in detail below.

[0029] like Figure 2 As shown, this invention proposes a method for equipment fault analysis and processing based on a digital power room, specifically including the following steps: Step S201. Acquire fault data generated by the equipment in the digital power room during operation in real time.

[0030] Step S202. Parse the fault data. If first feature data is extracted, input the first feature data into a pre-built first container knowledge graph for first fault analysis processing to obtain fault handling pattern data corresponding to the first feature data. If second feature data is extracted, input the second feature data into both the first container and the pre-built fault analysis processing knowledge graph for second fault analysis processing to generate fault handling pattern data corresponding to the second feature data.

[0031] Step S203. The digital power room processes the equipment according to the received fault handling mode data to realize equipment fault analysis and processing.

[0032] In this embodiment, step S201 describes the real-time acquisition of fault data generated by the digital power room equipment during operation. As mentioned above, the operation scenario is set to include a service side and a local side, wherein a sub-service side can also be set up on the local side for monitoring and management of the designated digital power room.

[0033] In practice, to enable data interaction between multiple local digital substations and the server, the acquired fault data carries the identifier of the digital substation. Each digital substation is assigned a unique identifier, and different devices are also assigned identifiers. For example, if device 1 in digital substation 1 malfunctions, the fault data generated when it outputs a fault code is represented as "11 + code". Secondly, to enable comparative analysis of fault data for the same device in different digital substations, different digital substations are represented using different coded data, but the same device uses the same code identifier. For example, if device 2 in digital substation 1 and device 2 in digital substation 2 both malfunction, they are represented as "12 + code" and "22 + code" respectively. The purpose of this invention is to achieve fault analysis for a specific device while also performing comparative analysis on the same device that does not belong to different digital substations. It constructs the possible faults of the same device in different working environments, thereby providing analytical support for faults based on the same device.

[0034] It should be noted that when multiple fault codes appear on the same device or multiple devices in the same digital power substation appear with multiple fault codes—for example, device 1 in digital power substation 1 has multiple fault codes, or devices 1 and 2 in digital power substation both have one or more fault codes—the data packet format can be "11+'code 1'+'code 2'+..." or "11+'code 1'", "11+'code 2'", etc. This gives the fault data specific characteristics. These characteristics can be based on a code table with multiple rows appearing in the same data, or a code table with multiple columns under the same device identifier. These characteristics will be used for feature analysis after parsing the fault data to determine whether it is first-feature data or second-feature data. When multiple codes are present, the parsed characteristics are considered to correspond to second-feature data. If the fault data corresponds to a fault code for each device in each digital power substation, or for each of multiple devices, and the fault codes are different between the fault data sent by multiple digital power substations, then the parsed characteristics are considered to correspond to first-feature data. For example, if device 1 in digital power substation 1 sends fault data represented as "11 + code 1", and device 2 in digital power substation 2 sends fault data represented as "22 + code 2", then these are considered to correspond to the first characteristic data. Similarly, if device 1 in digital power substation 1 sends fault data represented as "11 + code 1", and device 1 in digital power substation 2 sends fault data represented as "21 + code 2", although both devices share the same device 1, their fault codes are not related; therefore, they are also considered to correspond to the first characteristic data. This process of distinguishing between the first and second characteristics after fault data parsing is explained in the same way.

[0035] In step S202 of this embodiment, in order to analyze the fault data, the present invention needs to pre-establish a data analysis and processing environment to handle fault data analysis and processing requests sent by different digital substations at the same time. The data analysis and processing environment is configured to have two containers for data analysis and processing, including establishing a first container based on device data and a second container based on fault processing mode data.

[0036] It should be noted that the configuration of the first and second containers differs from the existing technology, which simply involves putting data into containers for matching. This invention is configured according to the actual usage environment of the digital power room. On the one hand, it is necessary to find the corresponding fault handling mode based on the equipment, and on the other hand, it is necessary to analyze the operating status of the equipment based on the fault handling data of different equipment.

[0037] The first container of the present invention is configured to have a data storage area and a dynamic data update area. As described above, the data storage area of ​​the present invention stores the corresponding device data of different digital substations. In this embodiment, the device data stored in the data storage area includes a unique identifier for the digital substation, a unique identifier for the device, and a unique identifier for different fault data.

[0038] like Figure 3 The diagram illustrates a data storage scenario within a data storage area. Digital power room 1 includes devices 1, 2, 3, and 4; digital power room 2 includes devices 1, 3, 5, and 7; and digital power room N includes devices 2, 4, 6, and 8. It should be noted that... Figure 3 This is an illustrative demonstration for the purpose of explaining the content of this invention. It should be understood that... Figure 3 The purpose is to clarify that the devices stored in the data storage area may be the same or different. However, the purpose of this invention is not only to clarify this, but more importantly, to establish associations between the same devices. Therefore, in this embodiment, a first container knowledge graph is established for the device data in the data storage area. This knowledge graph describes the mapping relationship between the same devices in different digital substations. For example, a mapping relationship is established between device 1 in digital substation 1 and device 1 in digital substation 2, and a mapping relationship is established between device 2 in digital substation 1 and device 2 in digital substation N. And so on, mapping relationships are established for the same devices in all digital substations in the data storage area, thereby constituting the first container knowledge graph.

[0039] In this embodiment, the dynamic data update area of ​​the first container stores a sorted dataset of dynamic digital substation levels and digital substation equipment levels. These levels are pre-set based on data generated during the construction of the digital substation and dynamically adjusted according to the actual working environment. It should be noted that the data adjustment in the dynamic data update area can be set to automatically adjust within a preset period, or it can be adjusted according to the actual needs of maintenance personnel.

[0040] In this embodiment, the second container is configured to store fault handling mode data. As mentioned earlier, the fault handling mode data is used to match the received fault data with the operation instructions for resolving the fault, and then send the operation instructions to the corresponding device for fault clearing. It should be noted that the purpose of this invention is not merely to store fault handling mode data, but rather to establish a dynamically adjustable dataset based on the processing results of the fault data. This dataset forms a success rate value for each fault handling mode data based on multiple fault handling results. To achieve high efficiency in fault handling, each fault data request for fault handling mode data is defined as a fault success rate after fault handling, and this success rate is configured to correspond to the corresponding fault handling mode data. This will be explained in detail below.

[0041] Since each device may have a unique fault code, and fault codes from different devices may not be related, this invention maps device data to fault codes and fault handling mode data. A fault handling mode knowledge graph is established between the first and second containers. One piece of device data may correspond to multiple fault handling mode data, and the fault handling mode data corresponding to fault data from the same device will not all be the same. This means that after establishing the knowledge graph, when encountering the same fault from the same device, where the success rates of the corresponding fault handling mode data may differ, the optimal fault handling mode data will be selected for processing based on its success rate.

[0042] The above describes the configuration process for the first and second containers. The following section will elaborate on the specific process of handling fault data upon receipt.

[0043] In this embodiment, upon receiving fault data, the fault data is parsed. As described above, when the first feature data is extracted, the first sub-fault data is used as the first feature data. Specifically, the alarm information data generated by the digital power room real-time monitoring equipment during operation is considered as the first sub-fault data if one or more unrelated alarm information data are generated by any one or more devices at the same time. The first sub-fault data is scheduled to the first container and matched in the knowledge graph of the first container to generate a device type dataset corresponding to the first sub-fault data. Based on the device type dataset, the fault handling mode dataset corresponding to the first sub-fault dataset is obtained from the fault handling mode knowledge graph. If the corresponding fault handling mode dataset is a unique fault handling mode dataset, the server sends a fault handling mode dataset corresponding to the fault data to the digital power room. If the fault is eliminated according to the corresponding fault handling mode dataset, a success response message is returned. Success rate data is added to the fault handling mode data in the second container. Adding "1+100%" to the fault handling mode data completes the recording process of a fault handling mode data success rate. If a failure response message is returned, then "1+0" is added. At this time, a fault repair message needs to be sent to the maintenance personnel. This repair message carries the fault code of the fault data. After the maintenance personnel complete the fault operation, the operation data code is sent to the second container for use in the next occurrence of the same fault data. At the same time, the unique fault handling mode data in the second container that records the same fault data code is updated to the unique fault handling mode data and the fault handling mode data recorded after success. At the same time, a success rate data is recorded.

[0044] In this embodiment, if the corresponding fault handling mode dataset includes multiple fault handling mode data, the multiple fault handling mode data are sorted based on pre-recorded success rate data, and the fault handling mode data with the highest ranking is sent to the digital power substation. If the fault is not eliminated, the fault handling mode data is sent according to the ranking until the fault is eliminated, at which point the sending of fault handling mode data stops. Similarly, the multiple fault handling mode datasets are analyzed based on the current fault handling results, and the success rate of the fault handling mode data that has eliminated the fault is recorded. Fault handling mode data that successfully eliminated the fault is represented by "1+100%", and those that failed are represented by "1+0". At the same time, the fault handling mode data in the second container is periodically updated, and each fault handling mode data is updated to the latest ranking after fault elimination within the periodic time.

[0045] In this embodiment, after receiving fault data, the fault data is parsed. As described above, when the second feature data is extracted, the second sub-fault data is used as the second feature data. In this embodiment, if multiple alarm information data are generated by the same device at the same time, and / or alarm information data of the same type from multiple different devices at the same time, then second sub-fault data is generated. It should be noted that the fault data includes the first sub-fault data, the second sub-fault data, or both. Therefore, parsing and processing are required. If it is the first sub-fault data, the processing described above will be performed. If it is the second sub-fault data, the second sub-fault data will be sent as concurrent thread data to the first container and the fault analysis and processing knowledge graph. The purpose of sending it to the first container is to establish the priority order of the data to be returned based on the device information in the dynamic data update area. The purpose of sending it to the fault processing mode processing knowledge graph is to obtain multiple corresponding fault processing mode data. This step is performed simultaneously. When multiple digital substation devices send fault data, the corresponding fault data processing mode data cannot be returned simultaneously. Moreover, some digital substation device faults may not have a significant impact, while the operation of other devices may play a crucial role in the operation and startup of the power network. Therefore, the returned data needs to be analyzed and processed.

[0046] In this embodiment, when the fault handling pattern dataset is matched, it is also sorted according to the success rate, and the step of updating the success rate of the fault handling pattern data after fault elimination is also required. Similarly, when fault elimination cannot be completed, this data needs to be sent to the operation and maintenance personnel for processing, and the fault handling pattern data update process is completed at the same time.

[0047] In this embodiment, when multiple digital substation fault data are received simultaneously, the processing method for the second sub-fault data is based on timely updating and sorting of the data according to the importance of different devices and digital substations. Even if fault data is received simultaneously, the return time of the fault data can be sequential. In particular, prioritizing the processing of faults in higher-level digital substations or devices will effectively improve the reliability of power grid operation. Simultaneously, generating corresponding datasets by sorting the corresponding fault handling mode data will make fault handling more efficient. Especially in the analysis of the second sub-fault data, while the first container implements the sorting process of the data to be sent from different devices, the corresponding fault handling mode dataset is matched in the fault analysis and processing knowledge graph. These two processes are performed simultaneously, effectively improving work efficiency. In this embodiment, after parsing the second sub-fault data, two thread data streams are formed and thread data identifiers are set. One thread completes the sorting of the data to be sent, and the other thread completes the acquisition of fault handling mode data. Both threads operate simultaneously.

[0048] It should be noted that the processing of the fault handling pattern data obtained after analyzing the second sub-fault data is the same as the processing of multiple fault handling pattern data corresponding to one fault handling pattern in the first sub-fault data. Both require sorting the fault handling pattern data to generate a dataset to be sent, and updating the multiple fault handling pattern data in the dataset to be sent after the fault elimination is completed. It should be understood that after the fault elimination of the previous fault handling pattern data is completed, only the operation results of one or more data before that fault handling pattern data are recorded. The fault handling pattern data that is sorted later is not updated because it did not participate in the fault elimination process.

[0049] According to the purpose of this invention, the present invention also proposes a device 400 for equipment fault analysis and processing based on a digital power room, such as... Figure 4 As shown, the device 400 includes: The acquisition module 401 is used to acquire fault data generated by the equipment in the digital power room during operation in real time; Analysis module 402 is used to parse the fault data. If first feature data is extracted, the first feature data is input into a pre-built first container knowledge graph for first fault analysis processing to obtain fault handling pattern data corresponding to the first feature data. If second feature data is extracted, the second feature data is simultaneously input into the first container and the pre-built fault analysis processing knowledge graph for second fault analysis processing to generate fault handling pattern data corresponding to the second feature data. The processing module 403 is used by the digital power room to process the equipment according to the received fault handling mode data in order to realize the fault analysis and processing of the equipment.

[0050] The analysis module 402 includes a first container 4021 and a second container 4022, wherein, The first container 4021 includes a data storage area and a dynamic data update area. The data storage area stores the corresponding device data based on different digital substations. Each data storage area corresponds to the coded data corresponding to the digital substation. A mapping relationship is established between the same devices in different digital substations to generate a knowledge graph of the first container. The second container 4022 is used to establish a fault handling mode knowledge graph. The fault handling mode knowledge graph is mapped to the first container knowledge graph, and corresponding fault handling mode data is generated based on the fault data to process the faults of the equipment and realize the fault analysis and processing of the equipment.

[0051] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0052] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0053] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A digital electric room-based device failure analysis processing method, characterized by, The method includes the following steps: The system monitors alarm data generated by the device in real time during operation. If the alarm data is generated by one or more devices at the same time and is unrelated to each other, a first sub-fault data is generated. If the alarm data is generated by the same device at the same time and / or by the same type of alarm data from multiple different devices at the same time, a second sub-fault data is generated. Real-time acquisition of fault data generated by the equipment in the digital power room during operation, the fault data including first sub-fault data and second sub-fault data; The fault data type is analyzed, and the data type features of the fault data and the equipment are extracted. If the data type feature is the same as the feature of the first sub-fault data, the first sub-fault data is used as the first feature data. The first feature data is scheduled to the first container. The first container matches the first feature data in the knowledge graph of the first container to generate a device type dataset corresponding to the first feature data. Based on the device type dataset, the fault handling pattern dataset corresponding to the first feature data is obtained from the fault handling pattern knowledge graph. If the corresponding fault handling pattern dataset is a unique fault handling pattern data, a fault handling pattern data corresponding to the fault data is sent to the digital power room to realize equipment fault analysis and processing. If the corresponding fault handling mode dataset includes multiple fault handling mode data, the multiple fault handling mode data are sorted according to a preset rule, and the fault handling mode data with the first position in the sort is sent to the digital power room. If the fault is not eliminated, the fault handling mode data is sent according to the sort until the fault is eliminated and then the sending of fault handling mode data stops. The preset rule is a success rate order rule generated based on the success rate data carried in multiple fault handling mode data of the same fault data. If the data type features are the same as the features of the second sub-fault data, then the second sub-fault data is used as the second feature data. The second feature data is simultaneously input into the first container and the pre-built fault analysis and processing knowledge graph to perform second fault analysis and processing to generate fault processing pattern data corresponding to the second feature data. The digital power room processes the equipment based on the received fault handling mode data to achieve fault analysis and handling of the equipment.

2. The digital electric room-based device failure analysis processing method according to claim 1, characterized by, Before the step of acquiring fault data generated by the equipment in the digital power substation during operation in real time, the step includes pre-establishing a fault handling pattern knowledge graph. Specifically, this involves: establishing a first container based on equipment data and a second container based on fault handling pattern data, and constructing a fault handling pattern knowledge graph based on the mapping relationship between equipment and fault handling patterns; wherein, the first container stores the coded data of different equipment with different digital power substation identifiers, and the second container stores the fault handling pattern data corresponding to different fault data; establishing a mapping relationship between the coded data of different equipment in the first container and the fault handling pattern data in the second container, and generating a fault handling pattern knowledge graph based on the mapping relationship established between all the coded data of all equipment in the first container and all the fault handling pattern data in the second container.

3. The digital electric room-based device failure analysis processing method according to claim 2, characterized by, The steps for establishing a first container based on device data include: dividing the first container into a data storage area and a dynamic data update area. The data storage area stores the corresponding device data based on different digital substations. Each data storage area corresponds to the coded data corresponding to the digital substation. A mapping relationship is established between the same devices in different digital substations to generate a knowledge graph for the first container. The device data includes a unique identifier for the digital substation, a unique identifier for the device, and unique identifiers for different fault data. The dynamic data update area forms a dynamic sorted dataset of digital substation levels and digital substation device levels based on the importance of different devices in each digital substation during operation.

4. The equipment fault analysis and processing method based on a digital power room according to claim 3, characterized in that, The steps of simultaneously inputting the second feature data into the first container and the pre-built fault analysis and processing knowledge graph for second fault analysis and processing to generate fault processing pattern data corresponding to the second feature data include: After parsing the fault data, the second feature data is extracted, and the second sub-fault data is used as the second feature data; The second sub-fault data is sent as concurrent thread data to the first container and the fault analysis and processing knowledge graph. The devices are prioritized in the first container, and the fault processing pattern dataset corresponding to the second sub-fault data is matched in the fault analysis and processing knowledge graph. In this process, after the second sub-fault data is sent to the first container as concurrent thread data, device information matching is performed in the dynamic data update area of ​​the first container to generate a dataset of device information to be sent based on the priority of the digital power room and the priority of the devices in the digital power room. After the fault handling mode dataset is matched, the data in the fault handling mode dataset is sorted according to a preset rule and then added to the dataset of device information to be sent according to the thread identifier to generate fault handling mode data corresponding to the second feature data.

5. A device failure analysis processing method based on a digital electric room according to claim 4, characterized in that, The device includes: The acquisition module is used to acquire fault data generated by the equipment in the digital power room during operation in real time; The analysis module is used to parse the fault data. If first feature data is extracted, the first feature data is input into a pre-built first container knowledge graph for first fault analysis processing to obtain fault handling pattern data corresponding to the first feature data. If second feature data is extracted, the second feature data is simultaneously input into the first container and the pre-built fault analysis processing knowledge graph for second fault analysis processing to generate fault handling pattern data corresponding to the second feature data. The processing module is used by the digital power room to process the equipment according to the received fault handling mode data in order to realize the fault analysis and processing of the equipment.

6. The apparatus of claim 5, wherein, The analysis module includes a first container and a second container, wherein: The first container includes a data storage area and a dynamic data update area. The data storage area stores the corresponding device data based on different digital substations. Each data storage area corresponds to the coded data corresponding to the digital substation. A mapping relationship is established between the same devices in different digital substations to generate a knowledge graph for the first container. The second container is used to establish a fault handling pattern knowledge graph. The fault handling pattern knowledge graph is mapped to the knowledge graph of the first container. Based on the fault data, corresponding fault handling pattern data is generated to process the faults of the equipment and realize the fault analysis and processing of the equipment.

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