Power outage fault warning method, device, electronic device and computer-readable medium

Abstract

Embodiments of the present disclosure disclose a power outage fault warning method, apparatus, electronic device, and computer-readable medium. A specific implementation of the method includes: obtaining a real-time digital twin model; in response to receiving device fault detection information, obtaining a target device identifier; obtaining a power equipment association relationship graph from a distributed server; preliminarily cropping the power equipment association relationship graph according to the target device identifier to generate a first cropped graph; determining first power outage impact range information according to the first cropped graph; obtaining a distribution map from the distributed server; screening at least one first key facility object information from the distribution map; and displaying a first real-time area image corresponding to a first power supply sub-region in the real-time digital twin model. This implementation can quickly and efficiently generate corresponding relevant power outage information for faulty devices, so as to perform subsequent power equipment maintenance in a timely manner and ensure stable power supply.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technologies, and more particularly, to a power outage fault warning method, apparatus, electronic device, and computer-readable medium. Background Art

[0002] Currently, with the continuous development of power, it is very important to determine the power outage scope affected by a device fault and the power supply of key facility objects affected by the device fault in the case of a power device fault. For determining the impact situation in the case of a power device fault, the commonly used method is: determining the impact situation in the case of a power device fault by means of manual reporting by each affected object. Herein, the affected object is an object whose power supply is affected by a power device fault.

[0003] However, when using the above method, the following technical problems often exist:

[0004] The method of manual reporting is inefficient and cannot achieve real-time and accurate determination of the power outage scope and the key facility objects affected, resulting in the situation of power failure supply not being effectively and timely maintained.

[0005] The above information disclosed in this background art section is only used to enhance the understanding of the background of the inventive concept, and thus, it may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] This summary of the disclosure is intended to introduce concepts in a brief form, which will be described in detail in the following detailed implementation section. This summary of the disclosure is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to be used to limit the scope of the claimed technical solution.

[0007] Some embodiments of the present disclosure propose a power outage fault warning method, apparatus, electronic device, and computer-readable medium to solve one or more of the technical problems mentioned in the above background art section.

[0008] In a first aspect, some embodiments of the present disclosure provide a power outage fault warning method, including: obtaining a real-time digital twin model for a target power supply area; in response to the device fault detection information for a target power device received by the deployment terminal corresponding to the real-time digital twin model, obtaining the device identifier corresponding to the target power device as the target device identifier; obtaining the power device association relationship map corresponding to the target power supply area from a distributed server, where the distributed server is a server deployed for the target power supply area, each node in the power device association relationship map is a device identifier, and the edge represents the association relationship between two power devices; preliminarily pruning the power device association relationship map according to the target device identifier to generate a first pruned map; determining first power outage impact range information according to the first pruned map; obtaining the distribution map corresponding to the target power supply area for key facility objects and power devices from the distributed server; screening at least one first key facility object information corresponding to the first power outage impact range information from the distribution map; displaying a first real-time area image corresponding to a first power supply sub-region in the real-time digital twin model, where there are range marker information representing the area range corresponding to the first power outage impact range information, at least one first object marker information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power device in the first real-time area image, where the first power supply sub-region is a sub-region within the target power supply area determined according to the first power outage impact range information.

[0009] In a second aspect, some embodiments of the present disclosure provide a power outage related information display device, including: a first acquisition unit configured to acquire a real-time digital twin model for a target power supply area; a second acquisition unit configured to, in response to receiving device fault detection information for a target power device by a terminal corresponding to the real-time digital twin model, acquire a device identifier corresponding to the target power device as a target device identifier; a third acquisition unit configured to acquire a power device association relationship graph corresponding to the target power supply area from a distributed server, where the distributed server is a server deployed for the target power supply area, and each node in the power device association relationship graph is a device identifier, and the edge represents an association relationship between two power devices; a cropping unit configured to perform a preliminary crop on the power device association relationship graph according to the target device identifier to generate a first cropped graph; a determination unit configured to determine first power outage impact range information according to the first cropped graph; a fourth acquisition unit configured to acquire a distribution map for key facility objects and power devices corresponding to the target power supply area from the distributed server; a screening unit configured to screen out at least one first key facility object information corresponding to the first power outage impact range information from the distribution map; a display unit configured to display a first real-time area image corresponding to a first power supply sub-region in the real-time digital twin model for power outage fault warning processing, where there is range marker information representing the area range corresponding to the first power outage impact range information, at least one first object marker information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power device in the first real-time area image, and the first power supply sub-region is a sub-region within the target power supply area determined according to the first power outage impact range information.

[0010] In a third aspect, some embodiments of the present disclosure provide an electronic device, including: one or more processors; a storage device storing one or more programs thereon, when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement the method described in any implementation manner of the first aspect.

[0011] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium storing a computer program thereon, where the program, when executed by a processor, implements the method described in any implementation manner of the first aspect.

[0012] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: Through the power outage fault warning method of some embodiments of the present disclosure, relevant power outage information corresponding to faulty equipment can be generated quickly and efficiently, so as to carry out subsequent maintenance of power equipment in a timely manner and ensure stable power supply. Specifically, the reason for the inefficient maintenance of relevant power equipment lies in that the method of manual reporting is inefficient and cannot accurately determine the power outage scope and the key facility objects affected in real time, resulting in the situation of power failure supply not being effectively and timely maintained. Based on this, in the power outage fault warning method of some embodiments of the present disclosure, first, a real-time digital twin model for the target power supply area is obtained. Here, through the real-time digital twin model, real-time reception of equipment fault conditions and real-time and effective display of relevant power outage information caused by faulty equipment can be achieved, enabling real-time maintenance personnel to effectively discover and maintain power outage-related information. Then, in response to the equipment fault detection information for the target power equipment received by the terminal corresponding to the above real-time digital twin model, the equipment identifier corresponding to the above target power equipment is obtained as the target equipment identifier, so as to determine each power equipment that may be affected through the target equipment identifier. Next, the power equipment association relationship graph corresponding to the above target power supply area is obtained from the distributed server, where the distributed server is the server deployed for the above target power supply area, and each node in the power equipment association relationship graph is an equipment identifier, and the edge represents the association relationship between two power equipment. Here, through the power equipment association relationship graph, each power equipment affected by the target power equipment fault can be determined efficiently and accurately to determine the power outage impact scope information. Then, according to the above target equipment identifier, the power equipment association relationship graph is initially trimmed to accurately generate the first trimmed graph. Immediately afterwards, according to the above first trimmed graph, the first power outage impact scope information can be accurately determined. Furthermore, the distribution map of key facility objects and power equipment corresponding to the above target power supply area is obtained from the above distributed server, so that through the distribution map, the key equipment objects within the scope corresponding to the first power outage impact scope information can be determined efficiently and accurately. Furthermore, at least one first key facility object information corresponding to the above first power outage impact scope information can be accurately screened out from the above distribution map to effectively perform power outage fault warning processing for key facility objects.Finally, the first real-time regional image corresponding to the first power supply sub-region is displayed in the above real-time digital twin model for power outage fault warning processing. Among them, there is range marking information representing the corresponding regional range of the first power outage impact range information, at least one first object marking information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power equipment in the first real-time regional image. Among them, the first power supply sub-region is a sub-region within the target power supply region determined according to the first power outage impact range information. In summary, through the power equipment association diagram and distribution diagram, the power outage impact range information and the corresponding key facility object information can be accurately and effectively determined to effectively display the power outage-related information corresponding to the failure of the target power equipment in the real-time digital twin model. Description of the Drawings

[0013] In combination with the accompanying drawings and with reference to the following specific embodiments, the above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more apparent. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic, and the elements and elements are not necessarily drawn to scale.

[0014] Figure 1 is a flowchart of some embodiments of the power outage fault warning method according to the present disclosure;

[0015] Figure 2 is a schematic structural diagram of some embodiments of the power outage-related information display device according to the present disclosure;

[0016] Figure 3 is a schematic structural diagram of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Description of the Embodiments

[0017] The embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0018] In addition, it should be noted that for the sake of description, only parts related to the relevant invention are shown in the drawings. Without conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

[0019] It should be noted that the concepts such as "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependent relationships.

[0020] It should be noted that the modifications of "one" and "multiple" mentioned in this disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless clearly specified otherwise in the context, it should be understood as "one or more".

[0021] The names of the messages or information exchanged between multiple devices in the embodiments of this disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0022] The following will detail this disclosure with reference to the drawings and in conjunction with embodiments.

[0023] Reference Figure 1 , which shows the flow 100 of some embodiments of the power outage fault warning method according to this disclosure. The power outage fault warning method includes the following steps:

[0024] Step 101, obtain a real-time digital twin model for a target power supply area.

[0025] In some embodiments, the execution subject (e.g., an electronic device) of the above power outage fault warning method can obtain a real-time digital twin model for a target power supply area through a wired connection method or a wireless connection method. Among them, the target power supply area can be the area where power supply is carried out with pre-displayed power outage-related information. For example, the target power supply area can be a certain district in a certain city. The power outage-related information can be information related to the power outage phenomenon. For example, the power outage-related information can include: power outage area information, power outage equipment information. The power outage area information can represent the area where power supply stops. The power outage equipment information can represent the equipment where power supply stops. The real-time digital twin model can be a real-time display of information related to regional power supply such as the power outage situation in the target power supply area and the device information corresponding to each power device. The real-time digital twin model can be updated every predetermined time period.

[0026] Step 102, in response to the device failure detection information for a target power device received by the deployment terminal corresponding to the above real-time digital twin model, obtain the device identifier corresponding to the above target power device as the target device identifier.

[0027] In some embodiments, in response to the device failure detection information for the target power device received by the deployment terminal corresponding to the above real-time digital twin model, the above execution entity may obtain the device identifier corresponding to the above target power device in a wired or wireless manner as the target device identifier. Among them, the deployment terminal corresponding to the real-time digital twin model may be an electronic terminal on which the real-time digital twin model is deployed. The device failure detection information may be detection information indicating that there is a device operation failure in the target power device. The target power device may be a power device in which a possible operation failure is detected. The device identifier may represent the identity information corresponding to the power device. Each power device has a unique corresponding device identifier.

[0028] Step 103: Obtain the power device association relationship graph corresponding to the above target power supply area from the distributed server.

[0029] In some embodiments, the above execution entity may obtain the power device association relationship graph corresponding to the above target power supply area from the distributed server. Among them, the above distributed server is a server deployed for the above target power supply area, and each node in the above power device association relationship graph is a device identifier, and the edge represents the association relationship between two power devices. The distributed server may be a distributed type of server. The power device association relationship graph may be an association relationship graph representing the association relationships between various power devices. In practice, the association relationship may be the upstream and downstream relationship between power devices.

[0030] Step 104: Perform a preliminary pruning on the above power device association relationship graph according to the above target device identifier to generate a first pruned graph.

[0031] In some embodiments, the above execution entity may perform a preliminary pruning on the above power device association relationship graph according to the above target device identifier to generate a first pruned graph. Among them, each power device in the first pruned graph may be a power device whose power supply is affected by the operation failure of the target power device.

[0032] As an example, first, determine the identification position of the target device identifier in the above power device association relationship graph. Then, determine the device type corresponding to the above target power device. Next, determine the influence step length corresponding to the above device type. Among them, each device type has an influence step length. Finally, with the identification position as the center and the influence step length as the edge pruning length, perform a preliminary pruning on the above power device association relationship graph to generate a first pruned graph. The edge pruning length may represent the pruning length of the edge in the graph.

[0033] Step 105: Determine the first power outage impact range information according to the above first pruned graph.

[0034] In some embodiments, the above-mentioned execution entity may determine first power outage impact range information based on the above-mentioned first cropped atlas. Among them, the first power outage impact range information may be the range information of area power outages caused by the failure of the target power equipment.

[0035] As an example, the above-mentioned execution entity may directly determine the area range where each power equipment in the first cropped atlas is located to generate area range information as the first power outage impact range information.

[0036] In some optional implementation manners of some embodiments, the determining of the first power outage impact range information according to the above-mentioned first cropped atlas includes:

[0037] First step, by means of association relationship extraction, extract a subset of power equipment information corresponding to the above-mentioned target power equipment from the above-mentioned first cropped atlas. Among them, the way of association relationship extraction may be to extract each power equipment whose power supply has problems caused by the failure of the target power equipment. In practice, an association relationship extraction table can be used to determine other power equipment that may cause power supply failures due to the failure of the target power equipment.

[0038] Second step, determine the above-mentioned first power outage impact range information according to the above-mentioned subset of power equipment information.

[0039] As an example, the above-mentioned execution entity may determine the area range information where the power equipment corresponding to the subset of power equipment information is located as the first power outage impact range information.

[0040] Step 106, obtain a distribution map of key facility objects and power equipment corresponding to the above-mentioned target power supply area from the above-mentioned distributed server.

[0041] In some embodiments, the above-mentioned execution entity may obtain a distribution map of key facility objects and power equipment corresponding to the above-mentioned target power supply area from the above-mentioned distributed server. Among them, the distribution map may be a map representing the corresponding distribution positions of associated implementation objects and power equipment. Key facility objects may be facility objects with a very large social impact. For example, key facility objects may be, but are not limited to, one of the following: schools, hospitals, key areas of concern, key factories.

[0042] Step 107, screen out at least one piece of first key facility object information corresponding to the above-mentioned first power outage impact range information from the above-mentioned distribution map.

[0043] In some embodiments, the above-mentioned execution entity may screen out at least one piece of first critical facility object information corresponding to the above-mentioned first power outage impact range information from the above-mentioned distribution map. Among them, the at least one piece of first critical facility object information is the object information of each critical facility object within the power outage impact range corresponding to the first power outage impact range information. For example, if the area information corresponding to the first power outage impact range information is area information A, the corresponding at least one piece of first critical facility object information includes: Hospital A, Hospital B, School A, and School B.

[0044] Step 108, display the first real-time area image corresponding to the first power supply sub-region in the above-mentioned real-time digital twin model.

[0045] In some embodiments, the above-mentioned execution entity may display the first real-time area image corresponding to the first power supply sub-region in the above-mentioned real-time digital twin model for power outage fault warning processing. Among them, in the above-mentioned first real-time area image, there is range marking information representing the area range corresponding to the above-mentioned first power outage impact range information, at least one first object marking information corresponding to the above-mentioned at least one piece of first critical facility object information, and a fault identifier corresponding to the target power device. Among them, the above-mentioned first power supply sub-region is a sub-region within the above-mentioned target power supply region determined according to the above-mentioned first power outage impact range information. The range marking information may represent the range situation and size situation of the area range. There is a one-to-one correspondence between the first critical facility object information in the at least one piece of first critical facility object information and the first object marking information in the at least one piece of first object marking information. The first object marking information may be marking information indicating that the power supply of the first critical facility object information has problems due to the failure of the target power device. The fault identifier may be an identifier indicating whether the target power device has an operating fault.

[0046] In some alternative implementation manners of some embodiments, the steps further include:

[0047] First step, determine at least one power outage remedy plan corresponding to the above-mentioned at least one piece of first critical facility object information. Among them, there is a one-to-one correspondence between the first critical facility object information in the at least one piece of first critical facility object information and the power outage remedy plan in the at least one power outage remedy plan. The power outage remedy plan may be a plan for power supply remedy when there is a power supply fault in the first critical facility object information. It should be noted that the power outage remedy plan corresponding to each critical facility object information may be pre-set.

[0048] The second step is, in response to determining to execute the above-mentioned at least one power outage remediation plan, displaying the real-time area image corresponding to the first power supply sub-area in the above-mentioned real-time digital twin model, adding at least one power outage remediation mark for the above-mentioned at least one first key facility object information, wherein the power outage remediation mark supports mark click to jump to the corresponding power outage remediation plan. There is a one-to-one correspondence between the first key facility object information in the at least one first key facility object information and the power outage remediation mark in the at least one power outage remediation mark. The power outage remediation mark can indicate that the first key facility object is currently in a power outage remediation state.

[0049] The third step is to obtain a power maintenance object distribution map from the above-mentioned distributed server. The power maintenance object distribution map may be a map of the distribution locations of objects for power maintenance. The power maintenance object may be an object for normal power supply maintenance and power failure repair. For example, the power maintenance object may be an electrician.

[0050] The fourth step is to determine the power maintenance object information set corresponding to the first power outage impact range information from the power maintenance object distribution map, wherein the power maintenance object information corresponding objects in the power maintenance object information set are objects responsible for power maintenance within the corresponding range of the first power outage impact range information.

[0051] Step 5: For each piece of power maintenance object information in the power maintenance object information set, perform the following sending steps:

[0052] Sub-step 1: Determine the maintenance work information corresponding to the above-mentioned power maintenance object information. The maintenance work information may represent the work content that the object corresponding to the power maintenance object information is responsible for.

[0053] Sub-step 2, in response to determining that the above-mentioned maintenance work information represents the power supply corresponding to the maintenance target key equipment object information, the power outage remediation plan and power outage maintenance speech information corresponding to the above-mentioned target key equipment object information are sent to the user terminal corresponding to the above-mentioned power maintenance object information. Among them, the power outage maintenance speech information can be generated by using a relevant speech generation model based on the power outage remediation plan and the environment in which the object corresponding to the current target key equipment object information is located. The speech generation model can be a large language model for generating speech based on natural language processing. The power outage maintenance speech information can represent the speech information for performing power outage maintenance to perform power outage remediation.

[0054] Sub-step 3, in response to determining that the above maintenance work information represents the power supply corresponding to the maintenance target power equipment, the equipment maintenance speech information corresponding to the above target power equipment is sent to the user terminal corresponding to the above power maintenance object information. The equipment maintenance speech information can represent the speech information for performing operation and maintenance of the power equipment. The equipment maintenance speech information can be pre-set speech information. The equipment maintenance speech information may include: equipment location, equipment failure condition, and equipment maintenance speech.

[0055] In some optional implementations of some embodiments, the steps further include:

[0056] The first step is to adjust the fault mark in the real-time regional image displayed by the real-time digital twin model to a normal operation mark in response to receiving the normal operation information for the target power equipment, and add a power supply restoration mark for the at least one first key facility object information, wherein the normal operation mark supports mark click to jump to the normal operation information corresponding to the target power equipment. The normal operation mark can indicate that the target power equipment is in a normal operation state. The power supply restoration mark can indicate that the power supply of the object corresponding to at least one first key facility object information can be restored.

[0057] The second step is to send the above-mentioned normal operation information to the user terminal corresponding to the model object corresponding to the above-mentioned real-time digital twin model, and issue a warning message indicating that the above-mentioned target power equipment is operating normally.

[0058] The third step is to execute the original power supply for the at least one first key facility object information and issue the power supply for the first power outage impact range information in response to confirming that the power supply restoration mark is clicked.

[0059] In some optional implementations of some embodiments, the steps further include:

[0060] The first step is to periodically update the above-mentioned power equipment association relationship map, the above-mentioned distribution map and the above-mentioned power maintenance object distribution map according to at least one pre-set update cycle to obtain the updated power equipment association relationship map, the updated distribution map and the updated power maintenance object distribution map. Among them, the above-mentioned at least one update cycle includes: the first update cycle corresponding to the above-mentioned power equipment association relationship map, the second update cycle corresponding to the above-mentioned distribution map and the third update cycle corresponding to the above-mentioned power maintenance object distribution map, and the above-mentioned second update cycle and the third update cycle are less than or equal to the above-mentioned first update cycle. The first update cycle, the second update cycle and the third update cycle can be pre-set durations.

[0061] In the second step, perform regional scale unification on the updated power equipment association relationship map, the updated distribution map, and the updated power maintenance object distribution map to generate a first power equipment association relationship map, a first distribution map, and a first power maintenance object distribution map. Among them, the regional scale unification can indicate that the regional scope and display scale corresponding to the updated power equipment association relationship map, the updated distribution map, and the updated power maintenance object distribution map are consistent.

[0062] In the third step, perform key map information unification on the first power equipment association relationship map, the first distribution map, and the first power maintenance object distribution map to generate a second power equipment association relationship map, a second distribution map, and a second power maintenance object distribution map. Among them, the key map information unification can include but is not limited to at least one of the following: information unification of key power equipment, information unification of key positions in the region.

[0063] In the fourth step, replace the power equipment association relationship map, the distribution map, and the power maintenance object distribution map in the distributed server with the second power equipment association relationship map, the second distribution map, and the second power maintenance object distribution map respectively.

[0064] In some optional implementation manners of some embodiments, the periodic update of the power equipment association relationship map, the distribution map, and the power maintenance object distribution map to obtain the updated power equipment association relationship map, the updated distribution map, and the updated power maintenance object distribution map includes:

[0065] In the first step, obtain the power equipment information set corresponding to the target power supply area. Among them, the power equipment information set corresponding to the power equipment set is that the corresponding equipment positions are within the target power supply area.

[0066] In the second step, for each power equipment information in the power equipment information set, perform the following first generation step:

[0067] Sub-step 1, determine the equipment importance record information corresponding to the power equipment information. The equipment importance record information can be the record situation of filing the equipment importance for the power equipment information. The equipment importance can indicate the importance of the equipment corresponding to the power equipment information, and at the same time reflect the importance of the power supply of the equipment corresponding to the power equipment information.

[0068] Sub-step 2, in response to determining that the equipment importance record information indicates that the power equipment information has been filed for equipment importance and the filing qualification has not been cancelled, generate generation information indicating that the power equipment information is key facility object information.

[0069] Sub-step 3: In response to determining that the above-mentioned equipment importance filing information indicates that the above-mentioned power equipment information has not been filed for equipment importance or the filing qualification has been cancelled, obtain the historical power supply data sequence corresponding to the above-mentioned power equipment information. Among them, the historical power supply data sequence can be the power supply data sequence of the equipment corresponding to the power equipment information in the target historical time period. There is a one-to-one correspondence between the historical power supply data in the historical power supply data sequence and the historical time points in the target historical time period.

[0070] Sub-step 4: Decompose the above-mentioned historical power supply data sequence to obtain a historical index data set sequence. Among them, there is a one-to-one correspondence between each historical index data in the historical index data set sequence and the historical time points in each historical time point. The historical index data set can be the index content of the equipment corresponding to the power equipment information under each power supply index at the corresponding historical time point. In practice, each power supply index can be preset. For example, each power supply index can include: voltage value, current value, voltage change.

[0071] As an example, first, obtain each index calculation method corresponding to each power supply index. Then, for each historical power supply data in the above-mentioned historical power supply data sequence, use each index calculation method to determine the historical index data set corresponding to the above-mentioned historical power supply data.

[0072] Sub-step 5: Determine the future index data set sequence for the future time period of the above-mentioned power equipment information according to the above-mentioned historical index data set sequence. Among them, the future time period can be a preset time period in the future. Among them, there is a one-to-one correspondence between the future index data sets in the future index data set sequence and the future time points in each future time point.

[0073] As an example, first, the above-mentioned execution entity can determine the future index data prediction model corresponding to each power supply index in each power supply index, and obtain each future index data prediction model. Then, according to the above-mentioned historical index data set sequence, use the future index data prediction model to determine the future index data set sequence for the future time period of the above-mentioned power equipment information. The future index data prediction model can be a prediction model for predicting the index data in the future time period. In practice, the future index data prediction model can be, but is not limited to, one of the following: regression model, prediction model based on recurrent neural network model, prediction model based on LSTM model, SVM model.

[0074] Sub-step 6: Determine the electricity consumption characteristics information corresponding to the above-mentioned power equipment information based on the above-mentioned historical index data set sequence and the above-mentioned future index data set sequence. Among them, the electricity consumption characteristics information can characterize the electricity consumption situation of the equipment corresponding to the power equipment information. Here, through the electricity consumption characteristics information, it can be determined whether the equipment corresponding to the power equipment information is a key equipment object. The electricity consumption characteristics information includes: the index content set of the key index set used to determine whether it is a key equipment object. In practice, the electricity consumption characteristics information can include: electricity consumption, electricity consumption duration, voltage magnitude, power equipment layout, number of electrical equipment, and electricity consumption area range.

[0075] Sub-step 7: Generate generation information characterizing whether the above-mentioned power equipment information is key equipment object information based on the above-mentioned electricity consumption characteristics information.

[0076] As an example, the above-mentioned execution entity can generate generation information characterizing whether the above-mentioned power equipment information is key equipment object information by whether each key index content in the electricity consumption characteristics information meets the corresponding key index content conditions.

[0077] Third step: Update the key facility objects and power equipment in the above-mentioned distribution map according to the obtained power equipment information set and the obtained generation information set to generate the above-mentioned updated distribution map.

[0078] Fourth step: For each power equipment information in the above-mentioned power equipment information set, perform the following second generation steps:

[0079] Sub-step 1: Determine the equipment task nature corresponding to the above-mentioned power equipment information. Among them, the equipment task nature can characterize the work task content of the equipment corresponding to the power equipment information. For example, the equipment task nature can be, but is not limited to, one of the following: step-up task nature, step-down task nature, shunt task nature, transmission task nature.

[0080] Sub-step 2: Determine the extraction association relationship set corresponding to the above-mentioned equipment task nature. Among them, the extraction association relationship can be an association relationship that has a task operation association with the equipment task nature. As an example, the above-mentioned execution entity can query the extraction association relationship table corresponding to the above-mentioned equipment task nature from the target association relationship table.

[0081] As another example, the above-mentioned execution entity can also extract the extraction association relationship set corresponding to the above-mentioned equipment task nature from the knowledge graph.

[0082] Sub-step 3: Extract at least one power equipment information from the above-mentioned power equipment information set for the above-mentioned power equipment information, and the corresponding relationship is in the above-mentioned extraction association relationship table.

[0083] Sub-step 4: Generate an equipment association relationship table for the above power equipment information, the above at least one power equipment information, and the corresponding at least one extracted association relationship information. Among them, there is a one-to-one correspondence between the power equipment information in the above at least one power equipment information and the extracted association relationship information in the at least one extracted association relationship information.

[0084] Step 5: Determine the historical equipment association relationship table set corresponding to the above power equipment association relationship map. Among them, the historical equipment association relationship table set can be the equipment association relationship tables at each historical time point.

[0085] Step 6: Generate at least one difference information between the equipment association relationship table set and the above historical equipment association relationship table set. Among them, the at least one difference information can characterize the table content difference between the equipment association relationship table set and the above historical equipment association relationship table set.

[0086] Step 7: According to the above at least one difference information, update the above power equipment association relationship map to obtain an updated power equipment association relationship map.

[0087] Step 8: Obtain the maintenance time corresponding to the above power maintenance object distribution map. Among them, the maintenance time can be the last historical update time corresponding to the above power maintenance object distribution map.

[0088] Step 9: Obtain the power maintenance object change information within the time period between the above maintenance time and the current time. Among them, the power maintenance object change information can characterize the change situation of the power maintenance object within the time period between the maintenance time and the current time.

[0089] Step 10: According to the above power maintenance object change information, update the above power maintenance object distribution map to generate an updated power maintenance object distribution map.

[0090] In some optional implementation manners of some embodiments, the steps further include:

[0091] Step 1: In response to the above real-time digital twin model receiving area power outage information, determine the area power outage range information corresponding to the above area power outage information. Among them, the area power outage information can be the information of a power outage occurring within the area. Among them, the area power outage range information can be the area range where the area power outage occurs.

[0092] Step 2: Determine the key facility object information set and the remaining facility object information set in the above area power outage range information. Among them, the remaining facility object information set can be the information set of the remaining facility objects in the area power outage range except for the key facility object information set.

[0093] As an example, the above-mentioned execution entity can determine the key facility object information set and the remaining facility object information set in the above-mentioned power outage scope information by querying facility object information.

[0094] In the third step, perform object anomaly detection on the hierarchical device sets of the above-mentioned key facility object information set and the remaining facility object information set to generate a detection result. Among them, the hierarchical device object anomaly detection can be a hierarchical anomaly detection that first performs object anomaly detection on the key facility object information set and then performs object anomaly detection on the remaining facility object information set. The detection result can be each facility object with an anomaly.

[0095] In the fourth step, obtain the device identifier corresponding to the above-mentioned detection result as the detected device identifier.

[0096] In the fifth step, obtain the above-mentioned power equipment association relationship graph from the above-mentioned distributed server.

[0097] In the sixth step, perform preliminary cropping on the above-mentioned power equipment association relationship graph according to the above-mentioned detected device identifier to generate a second cropped graph. The specific implementation method will not be elaborated.

[0098] In the seventh step, determine the second power outage impact scope information according to the above-mentioned second cropped graph. The specific implementation method will not be elaborated.

[0099] In the eighth step, obtain the distribution map from the above-mentioned distributed server. The specific implementation method will not be elaborated.

[0100] In the ninth step, screen out at least one second key facility object information corresponding to the above-mentioned second power outage impact scope information from the above-mentioned distribution map. The specific implementation method will not be elaborated.

[0101] In the tenth step, display the second real-time area image corresponding to the second power supply sub-region in the above-mentioned real-time digital twin model, where there are range marker information representing the area range corresponding to the above-mentioned second power outage impact scope information, at least one second object marker information corresponding to the above-mentioned at least one second key facility object information, and a fault identifier of the detected power equipment in the above-mentioned second real-time area image. Among them, the above-mentioned second power supply sub-region is a sub-region within the above-mentioned target power supply area determined according to the above-mentioned second power outage impact scope information. The specific implementation method will not be elaborated.

[0102] The above technical solution and its related content are an inventive point of the embodiments of the present disclosure, which solves the technical problem: the display of power outage-related information in the area power outage scenario is one of the important scenarios, so the generation of power outage-related information in the area power outage scenario is crucial. Based on this, the present disclosure determines the device identifiers that may be abnormal through hierarchical anomaly detection. Based on this, the range marking information within the area, at least one second object marking information corresponding to the at least one second key facility object information, and the fault identifiers of the detected power equipment can be accurately displayed.

[0103] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: Through the power outage fault warning method of some embodiments of the present disclosure, relevant power outage information corresponding to faulty equipment can be generated quickly and efficiently, so as to carry out subsequent power equipment maintenance in a timely manner and ensure stable power supply. Specifically, the reason for the inefficient maintenance of relevant power equipment lies in that the method of manual reporting is inefficient and cannot accurately determine the power outage scope and the key facility objects affected in real time, resulting in the situation of power failure supply not being effectively and timely maintained. Based on this, for the power outage fault warning method of some embodiments of the present disclosure, first, a real-time digital twin model for the target power supply area is obtained. Here, through the real-time digital twin model, real-time reception of equipment fault conditions and real-time and effective display of relevant power outage information caused by faulty equipment can be realized, enabling real-time maintenance personnel of faults to effectively discover and maintain power outage-related information. Then, in response to the equipment fault detection information for the target power equipment received by the corresponding deployment terminal of the above real-time digital twin model, the equipment identifier corresponding to the above target power equipment is obtained as the target equipment identifier to determine each power equipment that may be affected through the target equipment identifier. Next, the power equipment association relationship graph corresponding to the above target power supply area is obtained from the distributed server, where the above distributed server is the server deployed for the above target power supply area, and each node in the above power equipment association relationship graph is an equipment identifier, and the edge represents the association relationship between two power equipment. Here, through the power equipment association relationship graph, each power equipment affected by the target power equipment fault can be determined efficiently and accurately to determine the power outage impact scope information. Then, according to the above target equipment identifier, the above power equipment association relationship graph is initially trimmed to accurately generate the first trimmed graph. Immediately afterwards, according to the above first trimmed graph, the first power outage impact scope information can be accurately determined. Furthermore, the distribution map of key facility objects and power equipment corresponding to the above target power supply area is obtained from the above distributed server, so that through the distribution map, the key equipment objects within the scope corresponding to the first power outage impact scope information can be determined efficiently and accurately. Furthermore, at least one first key facility object information corresponding to the above first power outage impact scope information can be accurately screened out from the above distribution map to effectively carry out power outage fault warning processing for the key facility objects.Finally, the first real-time regional image corresponding to the first power supply sub-region is displayed in the above real-time digital twin model for power outage fault warning processing. Among them, there are range marking information representing the area range corresponding to the first power outage impact range information, at least one first object marking information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power equipment in the first real-time regional image. Among them, the first power supply sub-region is a sub-region within the target power supply area determined according to the first power outage impact range information. In summary, through the power equipment association diagram and distribution diagram, the power outage impact range information and the corresponding key facility object information can be accurately and effectively determined, so as to effectively display the power outage-related information corresponding to the failure of the target power equipment in the real-time digital twin model.

[0104] Further referring to Figure 2 , as an implementation of the methods shown in the above figures, some embodiments of a power outage-related information display device are provided in the present disclosure. These device embodiments correspond to Figure 1 the method embodiments shown, and the power outage-related information display device can be specifically applied to various electronic devices.

[0105] As shown in Figure 2As shown, a power outage related information display device 200 includes: a first acquisition unit 201, a second acquisition unit 202, a third acquisition unit 203, a clipping unit 204, a determination unit 205, a fourth acquisition unit 206, a screening unit 207, and a display unit 208. Among them, the first acquisition unit 201 is configured to acquire a real-time digital twin model for a target power supply area; the second acquisition unit 202 is configured to, in response to the device failure detection information for the target power device received by the terminal corresponding to the real-time digital twin model, acquire the device identifier corresponding to the target power device as the target device identifier. The third acquisition unit 203 is configured to acquire the power device association relationship map corresponding to the target power supply area from a distributed server, where the distributed server is a server deployed for the target power supply area, and each node in the power device association relationship map is a device identifier, and the edge represents the association relationship between two power devices; the clipping unit 204 is configured to perform a preliminary clipping on the power device association relationship map according to the target device identifier to generate a first clipped map; the determination unit 205 is configured to determine the first power outage impact range information according to the first clipped map; the fourth acquisition unit 206 is configured to acquire the distribution map of key facility objects and power devices corresponding to the target power supply area from the distributed server; the screening unit 207 is configured to screen at least one first key facility object information corresponding to the first power outage impact range information from the distribution map; the display unit 208 is configured to display a first real-time area image corresponding to a first power supply sub-area in the real-time digital twin model for power outage fault warning processing, where there is range marking information representing the area range corresponding to the first power outage impact range information, at least one first object marking information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power device in the first real-time area image, where the first power supply sub-area is a sub-area within the target power supply area determined according to the first power outage impact range information.

[0106] It can be understood that the units described in the power outage related information display device 200 correspond to the respective steps in the method described in the reference Figure 1 Therefore, the operations, features, and beneficial effects described above for the method also apply to the power outage related information display device 200 and the units included therein, and will not be repeated here.

[0107] Next, refer to Figure 3 , which shows a schematic structural diagram of an electronic device (e.g., an electronic device) 300 suitable for implementing some embodiments of the present disclosure. Figure 3The electronic device shown is merely an example and should not impose any limitations on the functions and scope of use of the embodiments of the present disclosure.

[0108] As Figure 3 shown, the electronic device 300 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 301, which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0109] Generally, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or wirelessly to exchange data. Although Figure 3 the electronic device 300 with various devices is shown, it should be understood that it is not required to implement or include all the shown devices. More or fewer devices may be alternatively implemented or included. Figure 3 Each block shown in

[0110] particular, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes program codes for performing the methods shown in the flowcharts. In such some embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the methods of some embodiments of the present disclosure are executed.

[0111] It should be noted that in some embodiments of the present disclosure, the above-mentioned computer-readable medium may be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, the computer-readable storage medium may be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0112] In some embodiments, the client and the server can communicate using any currently known or future-developed network protocol such as HTTP (HyperText Transfer Protocol), and can be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks ("LANs"), wide area networks ("WANs"), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0113] The above computer-readable medium may be included in the above electronic device; or may exist separately without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device is caused to: obtain a real-time digital twin model for a target power supply area; in response to receiving device fault detection information for a target power device by a corresponding deployment terminal of the real-time digital twin model, obtain a device identifier corresponding to the target power device as a target device identifier; obtain a power device association relationship map corresponding to the target power supply area from a distributed server, where the distributed server is a server deployed for the target power supply area, each node in the power device association relationship map is a device identifier, and an edge represents an association relationship between two power devices; perform a preliminary pruning on the power device association relationship map according to the target device identifier to generate a first pruned map; determine first power outage impact range information according to the first pruned map; obtain a distribution map corresponding to the target power supply area for key facility objects and power devices from the distributed server; screen out at least one first key facility object information corresponding to the first power outage impact range information from the distribution map; display a first real-time area image corresponding to a first power supply sub-area in the real-time digital twin model for power outage fault warning processing, where there are range marker information representing the area range corresponding to the first power outage impact range information, at least one first object marker information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power device in the first real-time area image, where the first power supply sub-area is a sub-area within the target power supply area determined according to the first power outage impact range information.

[0114] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0116] The units described in some embodiments of the present disclosure can be implemented in software or in hardware. The described units can also be provided in a processor. For example, it can be described as: a processor includes an acquisition unit, a query unit, and a segmentation unit. Among them, the names of these units do not constitute a limitation to the unit itself in some cases. For example, the acquisition unit can also be described as "the unit for acquiring the height and width of the first target image".

[0117] The functions described above can be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that can be used include: Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit (ASIC), Application Specific Standard Product (ASSP), System on Chip (SOC), Complex Programmable Logic Device (CPLD), and so on.

[0118] The above description is only some preferred embodiments of the present disclosure and an explanation of the technical principles applied. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A power outage fault alarm method, comprising: Obtain a real-time digital twin model for the target power supply area; In response to the deployment terminal corresponding to the real-time digital twin model receiving device fault detection information for the target power device, obtaining a device identifier corresponding to the target power device as the target device identifier; Acquire a power equipment association relationship map corresponding to the target power supply area from a distributed server, wherein the distributed server is a server deployed for the target power supply area, each node in the power equipment association relationship map is a device identifier, and an edge represents an association relationship between two power equipments; Preliminarily trimming the power equipment association relationship map according to the target equipment identifier to generate a first trimmed map; Determining first power outage impact range information according to the first cropped graph; Acquire, from the distributed server, a distribution map of key facility objects and power equipment corresponding to the target power supply area; Filtering at least one first key facility object information corresponding to the first power outage impact range information from the distribution map; A first real-time area image corresponding to a first power supply sub-area is displayed in the real-time digital twin model to perform power outage fault alarm processing, wherein the first real-time area image contains range marking information characterizing the area range corresponding to the first power outage impact range information, at least one first object marking information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power equipment, wherein the first power supply sub-area is a sub-area within the target power supply area determined based on the first power outage impact range information.

2. The method according to claim 1, wherein: The method further comprises: determining at least one power outage remediation plan corresponding to the at least one first critical facility object information; In response to determining to execute the at least one power outage remediation plan, displaying a real-time area image corresponding to the first power supply sub-area in the real-time digital twin model and adding at least one power outage remediation mark for the at least one first critical facility object information, wherein the power outage remediation mark supports mark click to jump to the corresponding power outage remediation plan; Obtaining a power maintenance object distribution map from the distributed server; Determine a power maintenance object information set corresponding to the first power outage impact range information from the power maintenance object distribution map; For each piece of power maintenance object information in the power maintenance object information set, the following sending steps are performed: Determine the maintenance work information corresponding to the power maintenance object information; In response to determining that the maintenance work information represents the power supply corresponding to the maintenance target key device object information, a power outage remediation plan and power outage maintenance speech information corresponding to the target key device object information are sent to a user terminal corresponding to the power maintenance object information; In response to determining the maintenance work information, equipment maintenance speech information corresponding to the target power equipment is sent to a user terminal corresponding to the power maintenance object information, wherein the maintenance work information represents the power supply corresponding to the maintenance target power equipment.

3. The method according to claim 2, wherein: The method further comprises: In response to receiving the normal operation information for the target power equipment, adjusting the fault mark in the real-time regional image displayed by the real-time digital twin model to a normal operation mark, and adding a power supply restoration mark for the at least one first key facility object information, wherein the normal operation mark supports mark click to jump to the normal operation information corresponding to the target power equipment; The normal operation information is sent to a user terminal corresponding to a model object corresponding to the real-time digital twin model, and a warning message indicating that the target power equipment is operating normally is issued; In response to determining that the power supply restoration mark is clicked, the original power supply for the at least one first key facility object information is executed, and the power supply for the first power outage impact range information is issued.

4. The method according to claim 2, wherein: The method further comprises: According to at least one pre-set update cycle, the power equipment association relationship map, the distribution map and the power maintenance object distribution map are periodically updated to obtain an updated power equipment association relationship map, an updated distribution map and an updated power maintenance object distribution map, wherein the at least one update cycle includes: a first update cycle corresponding to the power equipment association relationship map, a second update cycle corresponding to the distribution map and a third update cycle corresponding to the power maintenance object distribution map, and the second update cycle and the third update cycle are less than or equal to the first update cycle; Performing regional scale unification on the updated power equipment association relationship map, the updated distribution map, and the updated power maintenance object distribution map to generate a first power equipment association relationship map, a first distribution map, and a first power maintenance object distribution map; Unifying key graph information of the first power equipment association relationship graph, the first distribution graph, and the first power maintenance object distribution graph to generate a second power equipment association relationship graph, a second distribution graph, and a second power maintenance object distribution graph; The power equipment association relationship map, distribution map and power maintenance object distribution map in the distributed server are replaced with the second power equipment association relationship map, the second distribution map and the second power maintenance object distribution map respectively.

5. The method according to claim 4, wherein: The periodic updating of the electric power equipment association relationship map, the distribution map and the electric power maintenance object distribution map to obtain an updated electric power equipment association relationship map, an updated distribution map and an updated electric power maintenance object distribution map includes: Acquire a set of electric power equipment information corresponding to the target electric power supply area; For each piece of electric device information in the electric device information set characterizing whether the electric device information is generation information of key device object information, the following first generation step is performed: Determine the equipment importance filing information corresponding to the power equipment information; In response to determining that the equipment importance filing information indicates that the electric power equipment information has been filed for equipment importance and the filing qualification has not been revoked, generating generation information indicating that the electric power equipment information is key facility object information; In response to determining that the equipment importance filing information indicates that the power equipment information has not been filed for equipment importance or the filing qualification has been revoked, acquiring a historical power supply data sequence corresponding to the power equipment information; Decomposing the historical power supply data sequence into data indicators to obtain a historical indicator data set sequence; Determining a future indicator data set sequence within a future time period for the power equipment information according to the historical indicator data set sequence; Determining the power consumption characteristic information corresponding to the power equipment information according to the historical indicator data set sequence and the future indicator data set sequence; Generate, based on the power usage characteristic information, generation information indicating whether the power equipment information is key equipment object information; According to the obtained electric power equipment information set and the obtained generation information set, updating the key facility objects and electric power equipment in the distribution map to generate the updated distribution map; For each piece of electric device information in the electric device information set, the following second generation step is performed: Determine the nature of the equipment task corresponding to the power equipment information; Determine an extracted association relationship set corresponding to the device task property; Extracting at least one piece of electric device information corresponding to the electric device information and having a corresponding relationship in the extraction association relationship table from the electric device information set; Generate a device association relationship table for the power device information, the at least one power device information and the corresponding at least one extracted association relationship information, wherein the power device information in the at least one power device information and the extracted association relationship information in the at least one extracted association relationship information have a one-to-one correspondence; Determine a historical equipment association relationship table set corresponding to the electric power equipment association relationship map; generating at least one difference information between the device association relationship table set and the historical device association relationship table set; According to the at least one difference information, updating the electric power equipment association relationship map to obtain an updated electric power equipment association relationship map; Obtaining the maintenance time corresponding to the power maintenance object distribution map; Obtaining power maintenance object change information between the maintenance time and the current time; The power maintenance object distribution map is updated according to the power maintenance object change information to generate an updated power maintenance object distribution map.

6. The method according to claim 1, wherein: The determining, according to the first cropped graph, information on a first power outage impact range includes: Extracting a subset of power equipment information corresponding to the target power equipment from the first cropped graph by extracting association relationships; The first power outage impact scope information is determined based on the power equipment information subset.

7. A power failure alarm device, comprising: A first acquisition unit is configured to acquire a real-time digital twin model for a target power supply area; A second acquisition unit is configured to acquire, in response to the deployment terminal corresponding to the real-time digital twin model receiving device fault detection information for the target power device, a device identifier corresponding to the target power device as the target device identifier; A third acquisition unit is configured to acquire a power equipment association relationship map corresponding to the target power supply area from a distributed server, wherein the distributed server is a server deployed for the target power supply area, each node in the power equipment association relationship map is a device identifier, and an edge represents an association relationship between two power devices; A cutting unit is configured to perform preliminary cutting on the power equipment association relationship map according to the target equipment identifier to generate a first cut map; a determining unit configured to determine first power outage impact range information according to the first cropped graph; a fourth acquisition unit, configured to acquire, from the distributed server, a distribution map for key facility objects and power equipment corresponding to the target power supply area; a screening unit configured to screen out at least one first key facility object information corresponding to the first power outage impact range information from the distribution map; A display unit is configured to display a first real-time area image corresponding to a first power supply sub-area in the real-time digital twin model to perform power outage fault alarm processing, wherein the first real-time area image contains range marking information characterizing the area range corresponding to the first power outage impact range information, at least one first object marking information corresponding to the at least one first key facility object information, and a fault identifier corresponding to the target power equipment, wherein the first power supply sub-area is a sub-area within the target power supply area determined based on the first power outage impact range information.

8. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

9. A computer readable medium having a computer program stored thereon, wherein: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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