Method, device, electronic device and medium for transmitting information related to electric power equipment

Abstract

The embodiments of the present disclosure disclose a method, device, electronic device and medium for sending information related to electric power equipment. A specific implementation of the method includes: in response to receiving equipment safety detection information, obtaining electric power equipment information as target electric power equipment information; determining at least one electric power equipment specification information; screening out electric power equipment information groups; setting a multimodal working feature set and an electric power basic feature set; in response to determining that the number of electric power equipment information is greater than a preset number, performing clustering processing to generate an electric power equipment information cluster; based on the electric power equipment information cluster, generating current electric power equipment operation information and corresponding equipment safety detection results; sending the current electric power equipment operation information and the equipment safety detection results to the electric power equipment information submission terminal. This implementation can quickly and efficiently realize the operation status detection and equipment safety detection of electric power equipment while ensuring the accuracy of detection, thereby avoiding the occurrence of equipment failure problems.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and more particularly to a method, device, electronic device, and medium for transmitting information related to power equipment. Background Art

[0002] How to effectively perform operation and safety inspections on power equipment has become an important issue that needs to be addressed. The common method for performing operation and safety inspections on power equipment is to manually perform insulation resistance inspections.

[0003] However, when using the above methods to perform operation and safety inspections on power equipment, the following technical problems often arise:

[0004] Manual inspections of the vast amount of power equipment in rural and remote areas are inefficient, and the results are often insufficiently reliable. Furthermore, if local faults are not promptly addressed, they can spread throughout the power system, leading to wider power outages or equipment damage (such as transformer burnouts and line shorts). These problems can also cause voltage fluctuations and harmonic interference in power equipment, impacting the normal operation of precision equipment such as medical equipment and data centers.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the Invention

[0006] The content of this disclosure is used to briefly introduce concepts that will be described in detail in the detailed description section below. The content of this disclosure is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0007] Some embodiments of the present disclosure propose methods, devices, electronic devices, and media for transmitting information related to power equipment to solve one or more of the technical problems mentioned in the above background technology section.

[0008] In a first aspect, some embodiments of the present disclosure provide a method for sending information related to electric power equipment, comprising: in response to receiving equipment safety detection information corresponding to a target electric power equipment sent by an electric power equipment information submission terminal, obtaining electric power equipment information corresponding to the above-mentioned target electric power equipment as target electric power equipment information, wherein the above-mentioned target electric power equipment information includes: target electric power equipment specification information and equipment multimodal working status information in a current time period; determining at least one electric power equipment specification information that matches the above-mentioned target electric power equipment specification information; screening out an electric power equipment information group corresponding to the above-mentioned at least one electric power equipment specification information and the above-mentioned target electric power equipment specification information from an electric power equipment information library, wherein the electric power equipment information group includes: target electric power equipment specification information and equipment multimodal working status information in a current time period; determining at least one electric power equipment specification information that matches the above-mentioned target electric power equipment specification information; screening out an electric power equipment information group corresponding to the above-mentioned at least one electric power equipment specification information and the above-mentioned target electric power equipment specification information from an electric power equipment information library; wherein the electric power equipment information group includes: target electric power equipment specification information and equipment multimodal working status information in a current time period; determining at least one electric power equipment specification information that matches the above-mentioned target electric power equipment specification information; screening out at least one electric power equipment specification information that matches the above-mentioned target electric power equipment specification information; wherein the electric power equipment information group includes: target electric power equipment specification information and equipment multimodal working status information in a current time period ... The backup information group is the power equipment information corresponding to the power equipment in each historical time period; a multimodal working feature set and a power basic feature set are set for the power equipment; in response to determining that the number of power equipment information corresponding to the above power equipment information group set is greater than a preset number, clustering processing is performed on the above power equipment information group set and the above target power equipment information according to the multimodal working feature set and the above power basic feature set to generate a power equipment information cluster set; based on the above power equipment information cluster set, the current power equipment operation information and the corresponding equipment safety detection result corresponding to the above target power equipment are generated; the above current power equipment operation information and the above equipment safety detection result are sent to the above power equipment information submission end.

[0009] In a second aspect, some embodiments of the present disclosure provide a device for sending information related to electric power equipment, comprising: an acquisition unit, configured to, in response to receiving equipment safety detection information corresponding to the target electric power equipment sent by the electric power equipment information submission terminal, acquire the electric power equipment information corresponding to the above-mentioned target electric power equipment as the target electric power equipment information, wherein the above-mentioned target electric power equipment information includes: target electric power equipment specification information and equipment multimodal working status information in the current time period; a determination unit, configured to determine at least one electric power equipment specification information that matches the above-mentioned target electric power equipment specification information; a screening unit, configured to screen out an electric power equipment information group set corresponding to the above-mentioned at least one electric power equipment specification information and the above-mentioned target electric power equipment specification information from the electric power equipment information library, wherein the electric power equipment information group is The power equipment information corresponding to the power equipment in each historical time period; a setting unit, configured to set a multimodal working feature set and a power basic feature set for the power equipment; an execution unit, configured to, in response to determining that the number of power equipment information corresponding to the above-mentioned power equipment information set is greater than a preset number, perform clustering processing on the above-mentioned power equipment information set and the above-mentioned target power equipment information according to the multimodal working feature set and the above-mentioned power basic feature set to generate a power equipment information cluster set; a generation unit, configured to generate the current power equipment operation information and the corresponding equipment safety detection result corresponding to the above-mentioned target power equipment according to the above-mentioned power equipment information cluster set; a sending unit, configured to send the above-mentioned current power equipment operation information and the above-mentioned equipment safety detection result to the above-mentioned power equipment information submission terminal.

[0010] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner in the first aspect.

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

[0012] The above-described embodiments of the present disclosure have the following beneficial effects: The power equipment related information transmission methods of some embodiments of the present disclosure can quickly and efficiently detect the operating status and safety of power equipment while ensuring detection accuracy, thus avoiding equipment failures. Specifically, the reason for the inaccurate and inefficient operation status and safety detection of power equipment is that manual detection of the vast number of power equipment in rural and remote areas is too inefficient, and the detection results are often insufficiently reliable. Furthermore, if local faults are not promptly addressed, they may spread to the entire power system, causing larger-scale power outages or equipment damage (such as transformer burnouts and line shorts), voltage fluctuations, harmonic interference, and other problems in power equipment, affecting the normal operation of precision equipment (such as medical instruments and data centers). Based on this, the power equipment related information transmission methods of some embodiments of the present disclosure first, in response to receiving equipment safety detection information corresponding to a target power equipment sent by a power equipment information submitter, obtain power equipment information corresponding to the target power equipment as the target power equipment information. The target power equipment information includes target power equipment specifications and multimodal operating status information of the equipment in the current time period. Here, the target power equipment information obtained is used to facilitate subsequent matching of similar power equipment data, thereby quickly determining the operating status while ensuring the accuracy of the operating status determination. Then, at least one power equipment specification information that matches the above-mentioned target power equipment specification information is determined to facilitate the subsequent acquisition of power equipment data that matches the equipment specifications corresponding to the target power equipment. Next, a set of power equipment information groups corresponding to the above-mentioned at least one power equipment specification information and the above-mentioned target power equipment specification information is filtered out from the power equipment information library as a similar power equipment information set, which can quickly filter out power equipment information with similar information content to the target power equipment information. Among them, the power equipment information group is the power equipment information corresponding to the power equipment in each historical time period. Furthermore, a multimodal operating feature set and a power basic feature set are set for the power equipment to serve as clustering features for subsequent clustering processing, so that power equipment information with the same features can be grouped together. Next, in response to determining that the number of pieces of power equipment information corresponding to the power equipment information set exceeds a preset number, clustering processing is performed on the power equipment information set and the target power equipment information based on the multimodal operating feature set and the power basic feature set to generate a power equipment information cluster. This clustering process allows for the rapid identification of power equipment information with similar information content to the target power equipment information. Furthermore, based on this power equipment information cluster, current power equipment operating information and corresponding equipment safety test results corresponding to the target power equipment can be quickly and accurately generated.Finally, the current power equipment operating information and the equipment safety test results are sent to the power equipment information submission terminal. In summary, clustering allows for quick and accurate matching of power equipment information similar to the target power equipment information, facilitating the subsequent quick and accurate generation of the corresponding current power equipment operating information and equipment safety test results. This allows for timely handling of localized faults in power equipment, preventing them from spreading to the entire power system and causing wider power outages or equipment damage (e.g., transformer burnouts, line shorts, etc.). Furthermore, voltage fluctuations and harmonic interference within power equipment can be avoided, potentially impacting the normal operation of precision equipment (e.g., medical instruments and data centers). BRIEF DESCRIPTION OF THE DRAWINGS

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

[0014] Figure 1 is a flowchart of some embodiments of the method for transmitting power equipment related information according to the present disclosure;

[0015] Figure 2 is a schematic structural diagram of some embodiments of the apparatus for transmitting information related to electric power equipment according to the present disclosure;

[0016] Figure 3 It is a structural diagram of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0017] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of protection of the present disclosure.

[0018] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other.

[0019] It should be noted that the concepts of "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 or interdependence of the functions performed by these devices, modules or units.

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

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

[0022] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0023] refer to Figure 1 , shows a process 100 of some embodiments of the method for transmitting information related to electric power equipment according to the present disclosure. The method for transmitting information related to electric power equipment includes the following steps:

[0024] Step 101 : in response to receiving the equipment safety detection information corresponding to the target electric equipment sent by the electric equipment information submitting terminal, obtaining the electric equipment information corresponding to the target electric equipment as the target electric equipment information.

[0025] In some embodiments, in response to receiving device safety testing information corresponding to a target power device from a power device information submitter, an entity executing the power device-related information transmission method (e.g., an electronic device) may obtain the power device information corresponding to the target power device via a wired or wireless connection as the target power device information. The power device information submitter may be a terminal that submits power device-related information. In practice, the power device information submitter may be a mobile terminal used by power maintenance personnel. The power device information submitter supports the submission of power device-related information. The power device-related information may include: device safety testing information and power device information of the power device to be tested. The target power device may be the power device to be tested for operation and safety testing. For example, the target power device may be a transformer or a generator. The device safety testing information may be information indicating a safety test has been performed on the power device. For example, the device safety testing information may be a request for a safety test on the power device. The power device information may be device-related information of the power device. The target power device information may include: target power device specification information and multimodal operating status information of the device during the current time period. The target power device specification information may be the device specifications of the target power device. For example, if the target power equipment is a transformer, the corresponding equipment specifications may be "single-phase transformer, capacity: 100VA, input voltage: 220V, output voltage: 110V". In addition, the target power equipment specification information may also include: the service life of the equipment corresponding to the target power equipment. For example, the service life of the equipment corresponding to the target power equipment is 5 years. The current time period may be a predetermined time period before the current time. For example, the current time is "April 10th 11:00", and the current time period may be "April 9th ​​11:00-April 10th 11:00". The multimodal working status information of the device can characterize the working status of the power equipment under the multimodal representation. In practice, the multimodal representation may include: image modal representation and video modal representation.

[0026] Step 102: Determine at least one piece of electric power equipment specification information that matches the target electric power equipment specification information.

[0027] In some embodiments, the execution entity may determine at least one piece of power device specification information that matches the target power device specification information.

[0028] As an example, the execution entity may determine at least one piece of power equipment specification information that is the same as the target power equipment specification information, wherein the brand corresponding to the at least one piece of power equipment specification information is different from the brand corresponding to the target power equipment specification information.

[0029] As another example, the execution entity may first determine at least one key power equipment specification. Then, the execution entity may determine power equipment specification information that corresponds to at least one key power equipment specification as the target power equipment specification information, thereby obtaining at least one power equipment specification. The key power equipment specification may be a predetermined power equipment specification with the highest degree of importance.

[0030] Step 103: Filter out, from the power equipment information database, a power equipment information set corresponding to the at least one power equipment specification information and the target power equipment specification information.

[0031] In some embodiments, the execution entity may filter, from the power equipment information database, a set of power equipment information groups corresponding to the at least one power equipment specification information and the target power equipment specification information. A power equipment information group includes power equipment information corresponding to the power equipment during various historical time periods. For example, a power equipment information group includes equipment corresponding to at least one power equipment specification information and a specific power equipment specification information from the target power equipment specification information. Each power equipment information group includes a corresponding power equipment, and a power equipment information group may include power equipment information for the corresponding power equipment during various historical time periods. For example, if the power equipment is transformer A and the current time is 10:00 AM on April 10th, the power equipment information group may include power equipment information corresponding to transformer A from "10:00 AM on April 6th to 10:00 AM on April 7th," power equipment information corresponding to transformer A from "10:00 AM on April 7th to 10:00 AM on April 8th," and power equipment information corresponding to transformer A from "10:00 AM on April 8th to 10:00 AM on April 9th." The at least one power equipment specification information and the target power equipment specification information may contain the same power equipment specification information as the equipment specification information corresponding to transformer A.

[0032] Step 104: Set a multimodal operating feature set and a basic power feature set for the power equipment.

[0033] In some embodiments, the aforementioned execution entity may set a multimodal operating feature set and a basic power feature set for the power equipment. The multimodal operating feature set may be a feature set related to the operating process in a multimodal manner. The basic power feature set may be a basic feature set for the power equipment. Basic power features may be the general operating features of the power equipment during operation and the device's inherent attributes. The basic power feature set and the multimodal operating feature set do not share the same features.

[0034] In some optional implementations of some embodiments, the above-mentioned setting of the multimodal operating feature set and the power basic feature set for the power equipment may include the following steps:

[0035] The first step is to determine a first multimodal feature set corresponding to the target power device specification information and a second multimodal feature set corresponding to the at least one power device specification information. The first multimodal feature set may be a set of feature attributes for each modality set for the target power device specification information. The second multimodal feature set may be a set of feature attributes for each modality set for the at least one power device specification information. Each power device specification information has a corresponding second multimodal feature subset. The at least one second multimodal feature subset comprises a second multimodal feature set.

[0036] In the second step, the first multimodal feature set and the second multimodal feature set are deduplicated and fused to obtain the multimodal working feature set.

[0037] The third step is to extract the basic power feature set corresponding to the target power equipment specifications. This basic power feature set can include electrical, mechanical, and chemical features. Electrical features can include voltage, current, and power. Mechanical features can include vibration, noise, and temperature. Chemical features can include the composition and content of chemicals such as gases and liquids generated during power equipment operation.

[0038] Step 105, in response to determining that the number of power equipment information corresponding to the above-mentioned power equipment information set is greater than a preset number, clustering processing is performed on the above-mentioned power equipment information set and the above-mentioned target power equipment information according to the multimodal working feature set and the above-mentioned power basic feature set to generate a power equipment information cluster set.

[0039] In some embodiments, in response to determining that the number of pieces of power equipment information corresponding to the power equipment information set is greater than a preset number, the execution entity may perform clustering processing on the power equipment information set and the target power equipment information based on the multimodal operating feature set and the power basic feature set to generate a power equipment information cluster. The pieces of power equipment information in the power equipment information cluster have similar feature content in terms of multimodal operating features and power basic features. The multimodal operating features and power basic features of the individual power equipment information clusters differ significantly from one another.

[0040] In some optional implementations of some embodiments, performing clustering processing on the power device information group set and the target power device information based on the multimodal operating feature set and the power basic feature set to generate a power device information cluster set may include the following steps:

[0041] In the first step, for each electric power equipment information group in the electric power equipment information group set, the following first generation step is performed:

[0042] Sub-step 1: Extracting a multimodal operating feature information set corresponding to the multimodal operating feature set from the power equipment information group as a first multimodal operating feature information set. The multimodal operating features in the multimodal operating feature set correspond one-to-one to the multimodal operating feature information in the multimodal operating feature information set. The multimodal operating feature information may be characteristic content of the power equipment under the corresponding multimodal feature.

[0043] Sub-step 2: Extracting a power basic feature information set corresponding to the power basic feature set from the power equipment information group as a first power basic feature information set. There is a one-to-one correspondence between power basic features and power basic feature information. The power basic feature information may be the characteristic content of the power equipment under the corresponding power basic feature.

[0044] In the second step, a multimodal operating characteristic information set corresponding to the multimodal operating characteristic set is extracted from the target power equipment information as a second multimodal operating characteristic information set. Detailed explanation of the second multimodal operating characteristic information set is omitted.

[0045] The third step is to extract the power basic feature information set corresponding to the power basic feature set from the target power equipment information as the second power basic feature information set. The specific explanation of the second power basic feature information is omitted.

[0046] In the fourth step, a clustering algorithm is used to generate power equipment information clusters based on the obtained multiple first multimodal operating feature information sets, multiple first basic power feature information sets, the second multimodal operating feature information set, and the second basic power feature information set. The clustering algorithm may be K-Means clustering.

[0047] Step 106 : generating current power equipment operation information and corresponding equipment safety detection results corresponding to the target power equipment based on the power equipment information cluster.

[0048] In some embodiments, the execution entity may generate current power device operation information and corresponding device safety detection results corresponding to the target power device based on the power device information cluster. The current power device operation information may be the operating status of the power device at the current time. The device safety detection result may be the safety detection result of the power device at the current time.

[0049] In some optional implementations of some embodiments, generating the current power equipment operation information and the corresponding equipment safety detection result corresponding to the target power equipment according to the power equipment information cluster may include the following steps:

[0050] In the first step, the power equipment information cluster where the target power equipment information is located is selected from the power equipment information cluster set as the target power equipment information cluster.

[0051] In the second step, power equipment information is selected from the target power equipment information cluster for which a predetermined proximity relationship with the target power equipment information satisfies a preset relationship condition. This information is used as the adjacent power equipment information, thereby obtaining at least one adjacent power equipment information. The proximity relationship may be the distance between two pieces of power equipment information in the target power equipment information cluster. The predetermined relationship condition may be that the distance between the two pieces of power equipment information is less than a target value. The distance between two pieces of power equipment information can be determined by the cosine distance between their characteristic information.

[0052] In the third step, in response to determining that the at least one adjacent power device information does not include the cluster center corresponding to the target power device information cluster, the cluster center corresponding to the target power device information cluster is merged with the at least one adjacent power device information to generate a candidate power device information set.

[0053] Step 4: For each piece of candidate power equipment in the candidate power equipment information set, determine the historical power equipment operation information for the historical time period corresponding to the candidate power equipment information. The historical power equipment operation information may include the operation details of the power equipment during the historical time period. The operation details may include various operating parameters and various operating status descriptions.

[0054] The fifth step is to determine the above-mentioned current power equipment operation information and the above-mentioned equipment safety detection result based on the obtained historical power equipment operation information set.

[0055] As an example, the execution entity may classify each piece of historical power equipment operation information in the historical power equipment operation information set to determine the number of pieces of information under each operation type. The operation content corresponding to the operation type with the largest number of pieces of information is then determined as the current power equipment operation information, and a device safety detection result for each operation type is generated. The device safety detection result may be matched one-to-one with the operation type.

[0056] Step 107: Send the current power equipment operation information and the equipment safety detection result to the power equipment information submission terminal.

[0057] In some embodiments, the execution entity may send the current power equipment operation information and the equipment safety detection result to the power equipment information submission terminal.

[0058] In some optional implementations of some embodiments, the multimodal operating status information of the device includes: an infrared image of the device operation, wherein the infrared image of the device operation may be an infrared image of the power device during operation.

[0059] Optionally, after step 107, the steps further include:

[0060] In the first step, in response to determining that the number of pieces of power equipment information corresponding to the power equipment information set is less than or equal to the preset number, a device operation infrared profile corresponding to each piece of power equipment information in the power equipment information set is determined as a candidate device operation infrared profile, thereby obtaining a set of candidate device operation infrared profiles. The preset number may be a predetermined number. The preset number may be determined based on a number requirement of a clustering algorithm.

[0061] In the second step, the infrared image of the above equipment is run to perform semantic segmentation of power equipment to generate a segmented infrared image.

[0062] As an example, the execution entity may input the device operation infrared image into a pre-trained semantic segmentation model to generate a segmented infrared image. In practice, the semantic segmentation model may be a U-net model. The segmented infrared image may include a segmented infrared image of the target power device.

[0063] The third step is to perform power equipment semantic segmentation on each candidate device operation infrared image in the candidate device operation infrared image set to generate a candidate segmented infrared image, thereby obtaining a candidate segmented infrared image set. For an explanation of the candidate segmented infrared image, refer to the explanation of the segmented infrared image.

[0064] The fourth step is to determine the average pixel value corresponding to the above segmented infrared image as the first pixel average value, and determine the average pixel value corresponding to each candidate segmented infrared image in the above candidate segmented infrared image set as the second pixel average value.

[0065] Step 5: Filter out at least one candidate segmented infrared image from the candidate segmented infrared image set, wherein the difference between the second pixel average value and the first pixel average value is within a predetermined numerical range. The difference between the pixel average values ​​can provide feedback on the degree of pixel similarity between the two images. The predetermined numerical ranges can be numerical ranges set for target similarity ranges within each similarity range. Each similarity range can be a range between 0 and 1. The target similarity range can be a range greater than a target similarity value. For example, the target similarity value can be 0.5.

[0066] In step 6, in response to determining that the at least one candidate segmented infrared image is not empty, determining whether there is a target candidate segmented infrared image in the at least one candidate segmented infrared image having a corresponding color region distribution identical to the color region distribution corresponding to the segmented infrared image. The color region distribution can represent the degree of similarity in infrared content between the two infrared images. A higher degree of similarity in infrared content indicates greater similarity in content between the two infrared images.

[0067] Step 7: In response to the determination of existence, the above-mentioned current power equipment operation information and the above-mentioned equipment safety detection result are generated based on the obtained at least one target candidate segmented infrared image.

[0068] As an example, the execution entity may first input the at least one target candidate segmented infrared image into a power equipment operation information generation model to generate at least one power equipment operation information. The execution entity may then classify each piece of power equipment operation information within the at least one piece of power equipment operation information to determine the number of pieces of information under each operation type. The operation content corresponding to the operation type with the largest number of pieces of information is then determined as the current power equipment operation information, and a device safety detection result for the operation type is generated. The device safety detection result may be matched one-to-one with the operation type.

[0069] As another example, the execution entity may generate a generation instruction for generating current power equipment operation information and equipment safety test results based on at least one target candidate segmented infrared image. The generation instruction is then input into the large language model to generate the current power equipment operation information and equipment safety test results.

[0070] Optionally, performing semantic segmentation of power equipment on the infrared image of the device operation to generate a segmented infrared image includes:

[0071] The first step is to obtain a full set of power equipment specification information corresponding to the target power equipment as the first full set of power equipment specification information, wherein the first full set of power equipment specification information can represent all specification information sets related to the target power equipment on the market.

[0072] The second step is to determine the first infrared image feature information corresponding to each piece of first full power equipment specification information in the first full power equipment specification information set to obtain the first infrared image feature information set.

[0073] In a third step, for each piece of first full power device specification information, determine the first image device size information corresponding to the first full power device specification information at a target shooting distance. The first image device size information may be an outer bounding box of the device associated with the first full power device specification information in an image captured at the target shooting distance.

[0074] In the fourth step, deduplication processing is performed on the obtained first image device size information set to generate a first deduplication-treated image device size information set.

[0075] The fifth step is to determine the associated device information group that has a direct connection relationship with the target power device.

[0076] Step 6: For each piece of associated device information in the associated device information group, perform the following information generation steps:

[0077] Sub-step 1: Determine the full set of power equipment specification information corresponding to the associated equipment information as the second full set of power equipment specification information. For the explanation of the second full set of power equipment specification information, refer to the explanation of the first full set of power equipment specification information.

[0078] Sub-step 2: determining the second infrared image feature information corresponding to each second full amount of electric power equipment specification information in the second full amount of electric power equipment specification information set to obtain the second infrared image feature information set.

[0079] Sub-step 3: For each piece of second full power device specification information in the second full power device specification information set, determine the second image device size information corresponding to the second full power device specification information at a target shooting distance. The second image device size information may be an outer bounding box of the device associated with the second full power device specification information in an image captured at the target shooting distance.

[0080] Sub-step 4: performing deduplication processing on the obtained second image device size information set to generate a second deduplicated image device size information group.

[0081] Step 7: Generate a target power device tag for the first deduplicated image device size information set and an associated device tag corresponding to the second deduplicated image device size information set. The target power device tag can indicate that the first deduplicated image device size information set belongs to an outer range corresponding to the target power device. The associated device tag can indicate that the second deduplicated image device size information set belongs to an outer range corresponding to the associated devices of the target power device.

[0082] The eighth step is to generate a first image generation instruction representing generation of a segmented infrared image based on the first deduplicated image device size information set, the target power device tag, the second deduplicated image device size information group set and the associated device tag.

[0083] The ninth step is to generate a second image generation instruction for generating a segmentation infrared image by generating a segmentation model representing image segmentation based on an outer bounding box.

[0084] In the tenth step, the first image generation instruction and the second image generation instruction are input into a pre-trained large language model (LLM) to generate a segmented infrared image.

[0085] As one of the invention points, it solves another technical problem: "the problem of inaccuracy in the segmentation process of infrared image segmentation based on infrared technology, so that the segmented object obtained subsequently is not the target power equipment, resulting in the inability to obtain accurate infrared feature information corresponding to the target power equipment." Based on this, the present application obtains the outer bounding box set under each device specification corresponding to the target power equipment and the outer bounding box set under each device specification corresponding to the associated power equipment. Based on the outer bounding box sets of the two, accurate first generation instructions and second generation instructions are generated. Through the first generation instruction and the second generation instruction, the subsequent large language model can be instructed to accurately realize the segmentation of the target power equipment in the infrared image by utilizing the image segmentation model based on the outer bounding box and multiple outer bounding box sets with representative labels, so that more accurate infrared feature information corresponding to the target power equipment can be obtained subsequently.

[0086] Optionally, the multi-modal working state information of the device further includes: a device operating spectrum image, wherein the device operating spectrum image may be a spectrum image of the power device during operation.

[0087] Optionally, the generating of the current power equipment operation information and the equipment safety detection result based on the obtained at least one target candidate segmented infrared image may include the following steps:

[0088] The first step is to determine the device operation spectrum graph corresponding to each piece of power equipment information in the power equipment information group set as a candidate device operation spectrum graph, and obtain a candidate device operation spectrum graph set.

[0089] In the second step, each candidate device operating spectrum graph in the candidate device operating spectrum graph set is input into a spectral feature information extraction layer based on an attention mechanism to generate first spectral feature information, thereby obtaining a first spectral feature information set. The spectral feature information extraction layer can be a network layer that extracts spectral feature information from an image. In practice, the spectral feature information extraction layer based on an attention mechanism can be a multi-head attention mechanism module in a Transformer. The first spectral feature information can be a vector representing the semantic features of the spectrum.

[0090] The third step is to input the above-mentioned device operation spectrum diagram into the above-mentioned spectrum feature information extraction layer to generate second spectrum feature information.

[0091] In the fourth step, for each piece of first spectral feature information in the first spectral feature information set, the first spectral feature information and the second spectral feature information are input into a convolutional layer-based spectral similarity generation layer to generate spectral similarity. The spectral similarity generation layer may be a network layer that generates spectral similarity. The spectral similarity may be the degree of similarity in the spectral content of the images. The convolutional layer-based spectral similarity generation layer may be a network layer composed of multiple convolutional layers connected in series to generate spectral similarity.

[0092] Step 5: Filter out candidate device operation spectrum graphs from the candidate device operation spectrum graph set whose corresponding spectrum similarity is greater than a preset similarity, thereby obtaining at least one candidate device operation spectrum graph. The preset similarity can be a predetermined similarity value, for example, the spectrum similarity can be 0.5.

[0093] In step 6, in response to the at least one candidate device operation spectrum being not empty, the current power device operation information and the device safety detection result are generated based on the at least one candidate device operation spectrum and the at least one target candidate segmented infrared image.

[0094] As an example, first, the above-mentioned execution entity can input the above-mentioned at least one target candidate segmented infrared image and at least one target candidate segmented infrared image into the power equipment operation information generation model to generate at least one first power equipment operation information and at least one second power equipment operation information. Then, the above-mentioned execution entity can classify each power equipment operation information in the at least one first power equipment operation information and the at least one second power equipment operation information to determine the number of information under each operation type. Then, the operation content of the operation type with the largest number of corresponding information is determined as the current power equipment operation information, and the equipment safety detection result of the operation type of the operation type is generated. Among them, the equipment safety detection result can be matched one-to-one with the operation type.

[0095] As another example, the execution entity may generate a generation instruction for generating current power equipment operation information and equipment safety detection results based on the at least one candidate equipment operation spectrum diagram and the at least one target candidate segmented infrared image. The generation instruction is then input into the large language model to generate the current power equipment operation information and equipment safety detection results.

[0096] Optionally, generating the current power equipment operation information and the equipment safety detection result according to the at least one candidate equipment operation spectrum diagram and the at least one target candidate segmented infrared diagram may include the following steps:

[0097] The first step is to determine at least one piece of power device information corresponding to the at least one candidate device operating spectrum graph as at least one piece of first power device information, and to determine at least one piece of power device information corresponding to the at least one target candidate segmented infrared graph as at least one piece of second power device information. The first piece of power device information in the at least one piece of first power device information has a one-to-one correspondence with the candidate device operating spectrum graph in the at least one candidate device operating spectrum graph. The second piece of power device information in the at least one piece of second power device information has a one-to-one correspondence with the at least one target candidate segmented infrared graph.

[0098] The second step is to determine whether the at least one first electric device information and the at least one second electric device information are identical.

[0099] In the third step, in response to determining existence, for each piece of the at least one piece of identical power equipment information obtained, historical power equipment operation information in the historical time period corresponding to the above identical power equipment information is determined as the identical power equipment operation information.

[0100] The fourth step is to generate the above-mentioned current power equipment operation information and the above-mentioned equipment safety detection result based on the obtained at least one identical power equipment operation information.

[0101] As an example, the execution entity may first classify each piece of identical power equipment operation information within at least one identical power equipment operation information to determine the number of pieces of information under each operation type. The operation content of the operation type corresponding to the largest number of pieces of information is then determined as the current power equipment operation information, and a device safety detection result for the operation type is generated. The device safety detection result may be matched one-to-one with the operation type.

[0102] As another example, the execution entity may generate a generation instruction for generating current power equipment operation information and equipment safety test results based on at least one identical power equipment operation information. The generation instruction is then input into the large language model to generate the current power equipment operation information and the equipment safety test results.

[0103] The above-described embodiments of the present disclosure have the following beneficial effects: The power equipment related information transmission methods of some embodiments of the present disclosure can quickly and efficiently detect the operating status and safety of power equipment while ensuring detection accuracy, thus avoiding equipment failures. Specifically, the reason for the inaccurate and inefficient operation status and safety detection of power equipment is that manual detection of the vast number of power equipment in rural and remote areas is too inefficient, and the detection results are often insufficiently reliable. Furthermore, if local faults are not promptly addressed, they may spread to the entire power system, causing larger-scale power outages or equipment damage (such as transformer burnouts and line shorts), voltage fluctuations, harmonic interference, and other problems in power equipment, affecting the normal operation of precision equipment (such as medical instruments and data centers). Based on this, the power equipment related information transmission methods of some embodiments of the present disclosure first, in response to receiving equipment safety detection information corresponding to a target power equipment sent by a power equipment information submitter, obtain power equipment information corresponding to the target power equipment as the target power equipment information. The target power equipment information includes target power equipment specifications and multimodal operating status information of the equipment in the current time period. Here, the target power equipment information obtained is used to facilitate subsequent matching of similar power equipment data, thereby quickly determining the operating status while ensuring the accuracy of the operating status determination. Then, at least one power equipment specification information that matches the above-mentioned target power equipment specification information is determined to facilitate the subsequent acquisition of power equipment data that matches the equipment specifications corresponding to the target power equipment. Next, a set of power equipment information groups corresponding to the above-mentioned at least one power equipment specification information and the above-mentioned target power equipment specification information is filtered out from the power equipment information library as a similar power equipment information set, which can quickly filter out power equipment information with similar information content to the target power equipment information. Among them, the power equipment information group is the power equipment information corresponding to the power equipment in each historical time period. Furthermore, a multimodal operating feature set and a power basic feature set are set for the power equipment to serve as clustering features for subsequent clustering processing, so that power equipment information with the same features can be grouped together. Next, in response to determining that the number of pieces of power equipment information corresponding to the power equipment information set exceeds a preset number, clustering processing is performed on the power equipment information set and the target power equipment information based on the multimodal operating feature set and the power basic feature set to generate a power equipment information cluster. This clustering process allows for the rapid identification of power equipment information with similar information content to the target power equipment information. Furthermore, based on this power equipment information cluster, current power equipment operating information and corresponding equipment safety test results corresponding to the target power equipment can be quickly and accurately generated.Finally, the current power equipment operation information and the equipment safety test results are sent to the power equipment information submission terminal. In summary, through clustering processing, it is possible to quickly and accurately match power equipment information similar to the target power equipment information, so that the corresponding current power equipment operation information and the corresponding equipment safety test results can be quickly and accurately generated.

[0104] Further references Figure 2 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a device for transmitting information related to electric power equipment. These device embodiments are similar to Figure 1 Corresponding to the method embodiments shown, the device for sending power equipment related information can be specifically applied to various electronic devices.

[0105] like Figure 2 As shown, a device 200 for sending information related to electric power equipment includes: an acquisition unit 201, a determination unit 202, a screening unit 203, a setting unit 204, an execution unit 205, a generation unit 206 and a sending unit 207. The acquisition unit 201 is configured to, in response to receiving equipment safety detection information corresponding to the target electric power equipment sent by the electric power equipment information submission terminal, acquire the electric power equipment information corresponding to the above-mentioned target electric power equipment as the target electric power equipment information, wherein the above-mentioned target electric power equipment information includes: target electric power equipment specification information and equipment multimodal working status information in the current time period; the determination unit 202 is configured to determine at least one electric power equipment specification information that matches the above-mentioned target electric power equipment specification information; the screening unit 203 is configured to screen out electric power equipment information groups corresponding to the above-mentioned at least one electric power equipment specification information and the above-mentioned target electric power equipment specification information from the electric power equipment information library, wherein the electric power equipment information group is the electric power equipment corresponding to each historical time period. Power equipment information; a setting unit 204, configured to set a multimodal working feature set and a power basic feature set for the power equipment; an execution unit 205, configured to, in response to determining that the number of power equipment information corresponding to the above-mentioned power equipment information set is greater than a preset number, perform clustering processing on the above-mentioned power equipment information set and the above-mentioned target power equipment information according to the multimodal working feature set and the above-mentioned power basic feature set to generate a power equipment information cluster set; a generation unit 206, configured to generate the current power equipment operation information and the corresponding equipment safety detection result corresponding to the above-mentioned target power equipment according to the above-mentioned power equipment information cluster set; a sending unit 207, configured to send the above-mentioned current power equipment operation information and the above-mentioned equipment safety detection result to the above-mentioned power equipment information submission terminal.

[0106] It is understandable that the units recorded in the power equipment related information sending device 200 are similar to the reference Figure 1Therefore, the operations, features and beneficial effects described above for the method are also applicable to the power equipment related information sending device 200 and the units included therein, and will not be repeated here.

[0107] Reference below Figure 3 , which shows a structural schematic diagram of an electronic device (eg, an electronic device) 300 suitable for implementing some embodiments of the present disclosure. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0108] like Figure 3 As shown, electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 302 or programs loaded from a storage device 308 into a random access memory (RAM) 303. RAM 303 also stores various programs and data required for the operation of electronic device 300. Processing device 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to bus 304.

[0109] Typically, 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 by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as needed.

[0110] In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from a network via 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 method of some embodiments of the present disclosure are performed.

[0111] It should be noted that in some embodiments of the present disclosure, the computer-readable medium described above may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. Computer-readable storage media may include, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or component. Furthermore, in some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. This propagated data signal may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wire, optical cable, RF (radio frequency), or any suitable combination thereof.

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

[0113] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: in response to receiving the device safety detection information corresponding to the target power device sent by the power device information submission terminal, obtain the power device information corresponding to the target power device as the target power device information, wherein the target power device information includes: target power device specification information and device multimodal working status information in the current time period; determine at least one power device specification information that matches the target power device specification information; filter out the power device information group corresponding to the at least one power device specification information and the target power device specification information from the power device information library. , wherein the power equipment information group is the power equipment information corresponding to the power equipment in each historical time period; a multimodal working feature set and a power basic feature set are set for the power equipment; in response to determining that the number of power equipment information corresponding to the above power equipment information group set is greater than a preset number, clustering processing is performed on the above power equipment information group set and the above target power equipment information according to the multimodal working feature set and the above power basic feature set to generate a power equipment information cluster set; based on the above power equipment information cluster set, the current power equipment operation information and the corresponding equipment safety detection result corresponding to the above target power equipment are generated; and the above current power equipment operation information and the above equipment safety detection result are sent to the above power equipment information submission terminal.

[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 a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, 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 cases involving 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 (e.g., through the Internet using an Internet service provider).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the module, program segment, or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0116] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The units described may also be provided in a processor. For example, they may be described as follows: a processor includes an acquisition unit, a determination unit, a screening unit, a setting unit, an execution unit, a generation unit, and a sending unit. The names of these units do not, in some cases, constitute limitations on the units themselves. For example, the determination unit may also be described as "a unit for determining at least one power device specification information that matches the target power device specification information."

[0117] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0118] The above descriptions are merely some preferred embodiments of the present disclosure and illustrate the underlying technical principles. Those skilled in the art should understand that the scope of the invention encompassed by the embodiments of the present disclosure is not limited to technical solutions formed by specific combinations of the aforementioned technical features. It also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents, without departing from the aforementioned inventive concept. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A method for transmitting information related to electric power equipment, comprising: In response to receiving device safety detection information corresponding to a target power device sent by the power device information submitting terminal, acquiring power device information corresponding to the target power device as target power device information, wherein the target power device information includes: target power device specification information and device multimodal working status information in a current time period; determining at least one piece of electric power equipment specification information that matches the target electric power equipment specification information; Filtering out a set of power equipment information groups corresponding to the at least one power equipment specification information and the target power equipment specification information from a power equipment information database, wherein the power equipment information group is power equipment information corresponding to the power equipment in each historical time period; Setting a multi-modal working feature set and a basic power feature set for power equipment; In response to determining that the number of power equipment information corresponding to the power equipment information group set is greater than a preset number, clustering processing is performed on the power equipment information group set and the target power equipment information according to the multimodal working feature set and the power basic feature set to generate a power equipment information cluster set, wherein the clustering processing is performed on the power equipment information group set and the target power equipment information according to the multimodal working feature set and the power basic feature set to generate a power equipment information cluster set, including: for each power equipment information group in the power equipment information group set, performing the following first generation step: extracting the multimodal working feature information set corresponding to the multimodal working feature set from the power equipment information group as the first multimodal working feature set modal operating characteristic information set; extracting a power basic characteristic information set corresponding to the power basic characteristic set from the power equipment information group as a first power basic characteristic information set; extracting a multimodal operating characteristic information set corresponding to the multimodal operating characteristic set from the target power equipment information as a second multimodal operating characteristic information set; extracting a power basic characteristic information set corresponding to the power basic characteristic set from the target power equipment information as a second power basic characteristic information set; generating a power equipment information cluster set using a clustering algorithm based on the obtained multiple first multimodal operating characteristic information sets, multiple first power basic characteristic information sets, the second multimodal operating characteristic information set, and the second power basic characteristic information set; generating, based on the power equipment information cluster, current power equipment operation information and corresponding equipment safety detection results corresponding to the target power equipment; The current power equipment operation information and the equipment safety detection result are sent to the power equipment information submission terminal.

2. The method according to claim 1, wherein The setting is for a multimodal operating feature set and a basic power feature set of the power equipment, including: Determining a first multimodal feature set corresponding to the target power device specification information and a second multimodal feature set corresponding to the at least one power device specification information; Deduplication-removing and fusing the first multimodal feature set and the second multimodal feature set to obtain the multimodal working feature set; Extracting a basic power feature set corresponding to the target power equipment specification information.

3. The method according to claim 1, wherein The generating, based on the electric power equipment information cluster, current electric power equipment operation information and corresponding equipment safety detection results corresponding to the target electric power equipment includes: Filtering the electric power equipment information cluster where the target electric power equipment information is located from the electric power equipment information cluster set as the target electric power equipment information cluster; Filtering out, from the target power equipment information cluster, power equipment information whose information proximity relationship with the target power equipment information satisfies a preset relationship condition as adjacent power equipment information, and obtaining at least one adjacent power equipment information; In response to determining that the at least one adjacent electric device information does not include the cluster center corresponding to the target electric device information cluster, fusing the cluster center corresponding to the target electric device information cluster with the at least one adjacent electric device information to generate a candidate electric device information set; For each piece of candidate electric equipment information in the candidate electric equipment information set, determining historical electric equipment operation information in a historical time period corresponding to the candidate electric equipment information; The current power equipment operation information and the equipment safety detection result are determined based on the obtained historical power equipment operation information set.

4. The method according to claim 1, wherein The multimodal working status information of the device includes: an infrared image of the current device operation; and The method further comprises: In response to determining that the number of electric device information corresponding to the electric device information set is less than or equal to the preset number, determining a device operation infrared map corresponding to each electric device information in the electric device information set as a candidate device operation infrared map, and obtaining a candidate device operation infrared map set; Performing power equipment semantic segmentation on the current device operation infrared image to generate a segmented infrared image; Performing power equipment semantic segmentation on each candidate device operation infrared image in the candidate device operation infrared image set to generate a candidate segmented infrared image, thereby obtaining a candidate segmented infrared image set; Determining an average value of pixel values ​​corresponding to the segmented infrared image as a first pixel average value, and determining an average value of pixels corresponding to each candidate segmented infrared image in the candidate segmented infrared image set as a second pixel average value; Filtering at least one candidate segmented infrared image from the candidate segmented infrared image set, wherein the difference between the second pixel average value and the first pixel average value is within a predetermined value range; In response to determining that the at least one candidate segmented infrared image is not empty, determining whether there is a target candidate segmented infrared image in the at least one candidate segmented infrared image whose corresponding color region distribution is the same as that of the segmented infrared image; In response to determining that the target exists, the current power equipment operation information and the equipment safety detection result are generated according to the obtained at least one target candidate segmented infrared image.

5. The method according to claim 4, wherein The device multimodal working state information also includes: a current device operating spectrum diagram; and The step of generating the current power equipment operation information and the equipment safety detection result based on the obtained at least one target candidate segmented infrared image includes: Determine a device operation spectrum graph corresponding to each piece of electric power equipment information in the electric power equipment information group set as a candidate device operation spectrum graph, and obtain a candidate device operation spectrum graph set; Inputting each candidate device operation spectrum graph in the candidate device operation spectrum graph set into a spectrum feature information extraction layer based on an attention mechanism to generate first spectrum feature information, thereby obtaining a first spectrum feature information set; Inputting the current device operation spectrum graph into the spectrum feature information extraction layer to generate second spectrum feature information; For each first spectrum feature information in the first spectrum feature information set, inputting the first spectrum feature information and the second spectrum feature information into a spectrum similarity generation layer based on a convolutional layer to generate spectrum similarity; Filtering candidate device operation spectrum graphs whose corresponding spectrum similarity is greater than a preset similarity from the candidate device operation spectrum graph set to obtain at least one candidate device operation spectrum graph; In response to the at least one candidate device operation spectrum diagram being not empty, the current power device operation information and the device safety detection result are generated according to the at least one candidate device operation spectrum diagram and the at least one target candidate segmented infrared image.

6. The method according to claim 5, wherein: The generating of the current power equipment operation information and the equipment safety detection result according to the at least one candidate equipment operation spectrum diagram and the at least one target candidate segmented infrared diagram includes: Determine at least one piece of power device information corresponding to the at least one candidate device operation spectrum diagram as at least one first piece of power device information, and determine at least one piece of power device information corresponding to the at least one target candidate segmented infrared diagram as at least one second piece of power device information; determining whether the at least one first electric device information and the at least one second electric device information are identical; In response to determining that the same power device exists, for each piece of the obtained at least one piece of same power device information, determining historical power device operation information in a historical time period corresponding to the same power device information as the same power device operation information; The current power equipment operation information and the equipment safety detection result are generated based on the obtained at least one identical power equipment operation information.

7. A device for transmitting information related to electric power equipment, comprising: an acquiring unit configured to, in response to receiving device safety detection information corresponding to a target power device sent by the power device information submitting terminal, acquire power device information corresponding to the target power device as target power device information, wherein the target power device information includes: target power device specification information and device multimodal working status information in a current time period; a determining unit configured to determine at least one piece of electric power device specification information matching the target electric power device specification information; a screening unit configured to screen out, from the power equipment information library, a set of power equipment information groups corresponding to the at least one power equipment specification information and the target power equipment specification information, wherein the power equipment information group is power equipment information corresponding to the power equipment in each historical time period; A setting unit configured to set a multimodal operating feature set and a power basic feature set for the power equipment; An execution unit is configured to, in response to determining that the number of power equipment information corresponding to the power equipment information group set is greater than a preset number, perform clustering processing on the power equipment information group set and the target power equipment information according to the multimodal working feature set and the power basic feature set to generate a power equipment information cluster set, wherein the clustering processing on the power equipment information group set and the target power equipment information according to the multimodal working feature set and the power basic feature set to generate a power equipment information cluster set includes: for each power equipment information group in the power equipment information group set, perform the following first generation step: extract the multimodal working feature information set corresponding to the multimodal working feature set from the power equipment information group, and perform is a first multimodal operating feature information set; extracting a power basic feature information set corresponding to the power basic feature set from the power equipment information group as the first power basic feature information set; extracting a multimodal operating feature information set corresponding to the multimodal operating feature set from the target power equipment information as the second multimodal operating feature information set; extracting a power basic feature information set corresponding to the power basic feature set from the target power equipment information as the second power basic feature information set; generating a power equipment information cluster set using a clustering algorithm based on the obtained multiple first multimodal operating feature information sets, multiple first power basic feature information sets, the second multimodal operating feature information set, and the second power basic feature information set; a generating unit configured to generate current power equipment operation information and corresponding equipment safety detection results corresponding to the target power equipment according to the power equipment information cluster; The sending unit is configured to send the current power equipment operation information and the equipment safety detection result to the power equipment information submission terminal.

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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