Overhead line safety information display method, device, equipment and medium

Abstract

The embodiment of the invention discloses an overhead line safety information display method and device, equipment and a medium. One specific embodiment of the method comprises the following steps: in response to received overhead line verification information, obtaining at least one piece of overhead line information and a point cloud data set; performing point cloud data classification to generate a point cloud data set; generating point cloud data set proximity relation information corresponding to each point cloud data set; for each piece of overhead line information, executing a first generation step: determining a point cloud data set as a target point cloud data set; determining at least one adjacent point cloud data group; generating distance safety information; in response to determining that the overhead line information has a distance safety problem, generating distance safety information; performing information summarization on the at least one piece of distance safety information to generate distance safety summarized information; and sending the distance safety summary information to the target power data terminal. According to the embodiment, the safety detection of the overhead line in the target power area can be accurately and efficiently realized.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to methods, devices, equipment, and media for displaying safety information of overhead lines. Background Art

[0002] At present, with the continuous improvement of power equipment, the safety monitoring of overhead lines has become one of the important development directions in the current power area. For the safety detection of overhead lines, the usual method is: first, determine the spatial distances between the line and each adjacent object through manual measurement. Then, according to each spatial distance, determine the distance safety detection information corresponding to the overhead line.

[0003] However, when the above method is used to perform safety inspection on overhead lines, the following technical problems often occur:

[0004] The detection efficiency of overhead lines is low, and the effective measurement of various spatial distances cannot be accurately achieved, resulting in low accuracy of safety detection and greater safety risks.

[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 introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0007] Some embodiments of the present disclosure propose methods, devices, equipment and media for displaying safety information of overhead lines 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 displaying overhead line safety information, comprising: in response to receiving overhead line verification information for a target power area, obtaining at least one pre-registered overhead line information corresponding to the target power area; obtaining a point cloud data set corresponding to the target power area; performing point cloud data classification on the point cloud data set to generate a point cloud data set; generating point cloud data set proximity relationship information corresponding to each point cloud data set in the point cloud data set to obtain a point cloud data set proximity relationship information set; for each overhead line information in the at least one overhead line information, performing the following first generation step: determining a point cloud data set in the point cloud data set corresponding to the overhead line information as a target point cloud data set; and classifying the point cloud data set according to the overhead line information. The method comprises the following steps: determining at least one adjacent point cloud data group corresponding to the overhead line information based on the proximity relationship information of the point cloud data group corresponding to the line information; generating distance safety information corresponding to the overhead line information based on the at least one adjacent point cloud data group and the target point cloud data group; generating distance safety information in a predetermined format corresponding to the overhead line information in response to determining that the distance safety information indicates that the overhead line information has a distance safety problem; aggregating the at least one distance safety information obtained to generate distance safety summary information corresponding to at least one overhead line information; and sending the distance safety summary information to a target power data terminal to display the distance safety situation corresponding to the at least one overhead line information under the spatial model corresponding to the target power area on a line display interface.

[0009] In a second aspect, some embodiments of the present disclosure provide an overhead line safety information display device, comprising: a first acquisition unit, configured to, in response to receiving overhead line verification information for a target power area, acquire at least one pre-registered overhead line information corresponding to the target power area; a second acquisition unit, configured to acquire a point cloud data set corresponding to the target power area; a first execution unit, configured to perform point cloud data classification for the point cloud data set to generate a point cloud data set; a generation unit, configured to generate point cloud data set proximity relationship information corresponding to each point cloud data set in the point cloud data set to obtain a point cloud data set proximity relationship information set; a second execution unit, configured to, for each of the at least one overhead line information, perform the following first generation step: determine the point cloud data set in the point cloud data set corresponding to the overhead line information, as a target point cloud data group; determining at least one adjacent point cloud data group corresponding to the overhead line information according to the proximity relationship information of the point cloud data group corresponding to the overhead line information; generating distance safety information corresponding to the overhead line information according to the at least one adjacent point cloud data group and the target point cloud data group; in response to determining that the distance safety information indicates that there is a distance safety problem in the overhead line information, generating distance safety information in a predetermined format corresponding to the overhead line information; an information aggregation unit, configured to aggregate the at least one distance safety information obtained to generate distance safety aggregation information corresponding to at least one overhead line information; a sending unit, configured to send the distance safety aggregation information to a target power data terminal to display the distance safety situation corresponding to the at least one overhead line information under the spatial model corresponding to the target power area on a line display interface.

[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 the 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-mentioned embodiments of the present disclosure have the following beneficial effects: through the overhead line safety information display method of some embodiments of the present disclosure, the safety detection of the overhead line in the target power area can be accurately and efficiently realized. Specifically, the reason why the relevant safety detection is not accurate and efficient is that the detection efficiency of the overhead line is low, and the effective measurement of each spatial distance cannot be accurately realized, resulting in low accuracy of safety detection and a greater safety risk. Based on this, the overhead line safety information display method of some embodiments of the present disclosure, first, in response to receiving the overhead line verification information for the target power area, obtains at least one overhead line information corresponding to the above target power area and pre-registered. Here, by determining at least one overhead line information, it is convenient to carry out targeted safety detection of the line. Then, the point cloud data set corresponding to the above target power area is obtained. Here, the spatial arrangement of each object in the target power area is visualized in the form of a point cloud. Then, the point cloud data classification for the above point cloud data set is accurately performed to generate a point cloud data group set to determine the point cloud data group corresponding to each object in the target power area. Next, the point cloud data group proximity relationship information corresponding to each point cloud data group in the above point cloud data group set is generated to obtain the point cloud data group proximity relationship information set, so that each overhead line information can perform distance safety detection for nearby objects. Further, for each overhead line information in the above at least one overhead line information, the following first generation step is performed: the first step is to determine the point cloud data group in the above point cloud data group set corresponding to the above overhead line information as the target point cloud data group to characterize the position information and spatial arrangement information corresponding to the overhead line information. The second step is to determine at least one adjacent point cloud data group corresponding to the above overhead line information based on the point cloud data group proximity relationship information corresponding to the above overhead line information, so as to determine the spatial structure and position information corresponding to at least one nearby object corresponding to the overhead line information. The third step is to accurately generate the distance safety information corresponding to the above overhead line information based on the above at least one adjacent point cloud data group and the above target point cloud data group to characterize the safety level of the line corresponding to the overhead line information at the distance level. In the fourth step, in response to determining that the distance safety information indicates that the overhead line information has a distance safety problem, distance safety information corresponding to the overhead line information in a predetermined format can be accurately generated, so as to facilitate subsequent distance-level sum safety detection for each overhead line information in the target power area. Secondly, the obtained at least one distance safety information is summarized to generate distance safety summary information corresponding to at least one overhead line information, so as to accurately reflect the safety detection status of each overhead line in the target power area at the distance level.Finally, the above distance safety summary information is sent to the target power data terminal to display the distance safety situation corresponding to the above at least one overhead line information under the spatial model corresponding to the above target power area on the line display interface. In summary, through the level of point cloud data, the location information and spatial information corresponding to each object in the target power area can be modeled. Based on this, the distance safety detection between the overhead line information and the adjacent objects can be realized, so as to accurately generate the safety detection summary information corresponding to each overhead line information in the target power area. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. 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 that components and elements are not necessarily drawn to scale.

[0014] Figure 1 is a flow chart of some embodiments of the overhead line safety information display method according to the present disclosure;

[0015] Figure 2 It is a schematic structural diagram of some embodiments of the overhead line safety information display device according to the present disclosure;

[0016] Figure 3 It is a schematic diagram of the structure 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 set forth 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 only for exemplary purposes 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 can be combined with each other.

[0019] It should be noted that the concepts such as "first" and "second" mentioned in the present 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 "plurality" 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, it 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 overhead line safety information display method according to the present disclosure. The overhead line safety information display method comprises the following steps:

[0024] Step 101: in response to receiving overhead line verification information for a target power area, obtaining at least one piece of overhead line information corresponding to the target power area and registered in advance.

[0025] In some embodiments, in response to receiving overhead line verification information for a target power area, the execution subject (e.g., an electronic device) of the overhead line safety information display method may obtain at least one piece of overhead line information corresponding to the target power area and registered in advance through a wired connection or a wireless connection. The target power area may be a power area to be subjected to overhead line safety detection. For example, the power area may be a target forest area. Overhead line verification information may be information for verifying the overhead line. In practice, the overhead line verification information may be request information for performing overhead line safety verification on the target power area. There is a one-to-one correspondence between at least one overhead line and at least one overhead line information. At least one overhead line may be each overhead line pre-placed in the target power area. Overhead line information may be line information corresponding to the overhead line. Overhead line information may include, but is not limited to, at least one of the following: overhead line identification, overhead line voltage parameters, and overhead line type.

[0026] As an example, the execution subject may obtain at least one piece of pre-registered overhead line information corresponding to the target power area by querying a target database. The target database stores information representing the corresponding deployment relationship between the power area and the corresponding at least one piece of overhead line information.

[0027] Step 102: Acquire a point cloud data set corresponding to the target power area.

[0028] In some embodiments, the execution subject may obtain a point cloud data set corresponding to the target power area through a point cloud collection device. The point cloud data set may represent the spatial arrangement information of each object in the target power area. In practice, the spatial arrangement information may include: spatial position information and object shape information.

[0029] Step 103 , performing point cloud data classification on the point cloud data set to generate a point cloud data set.

[0030] In some embodiments, the execution subject may perform point cloud data classification for the point cloud data set to generate a point cloud data set. Each point cloud data set in the point cloud data set corresponds to an object in the target power area. For example, the objects in the target power area include: object 1, object 2, and object 3. The point cloud data set includes: a point cloud data set corresponding to object 1, a point cloud data set corresponding to object 2, and a point cloud data set corresponding to object 3.

[0031] In some optional implementations of some embodiments, the performing of point cloud data classification for the point cloud data set to generate a point cloud data set may include the following steps:

[0032] In the first step, each point cloud data in the above point cloud data set is preprocessed to generate a preprocessed point cloud data set. The data preprocessing may include but is not limited to one of the following: removing outliers, downsampling, reducing data noise and redundancy.

[0033] In the second step, the preprocessed point cloud data set is input into at least one pre-trained point cloud data classification model to generate at least one initial point cloud data set. The point cloud data classification model can be a network model for classifying point cloud data based on different objects. The model classification logic corresponding to each point cloud data classification model is different. There is a one-to-one correspondence between the point cloud data classification model in at least one point cloud data classification model and the initial power data set in at least one initial point cloud data set. In practice, at least one point cloud data classification model may include: support vector machine (SVM), nearest neighbor (KNN), random forest (Random Forest), and convolutional neural network model.

[0034] In the third step, for each initial point cloud data set in the at least one initial point cloud data set, the point cloud domain information corresponding to each initial point cloud data set in the initial point cloud data set is determined to obtain a point cloud domain information set. The point cloud domain information can characterize the object space occupancy of the object corresponding to the initial point cloud data set, and also characterize the space occupancy of each point cloud corresponding to the initial point cloud data set. The point cloud domain information can be range information in the form of coordinates. That is, the point cloud domain information can be composed of multiple coordinates.

[0035] The fourth step is to select the point cloud field information whose corresponding information frequency meets the preset frequency condition from the obtained at least one point cloud field information set, and obtain at least one point cloud field information. The number of information corresponding to the above-mentioned at least one point cloud field information is the same as the number of point cloud data groups corresponding to the above-mentioned point cloud data set. The preset frequency condition may be the point cloud field information whose frequency of overlap in the corresponding field is higher than the target preset frequency. The overlap in the corresponding field may indicate that the same area with a target area ratio greater than the target area ratio appears in the field area between the corresponding point cloud field information. The target area ratio may be a preset value between 0 and 1.

[0036] For example, at least one point cloud domain information set includes: a first point cloud domain information set, a second point cloud domain information set, and a third point cloud domain information set. The first point cloud domain information set includes: point cloud domain information A, point cloud domain information B, and point cloud domain information C. The second point cloud domain information set includes: point cloud domain information E, point cloud domain information F, and point cloud domain information G. The third point cloud domain information set includes: point cloud domain information H, point cloud domain information J, and point cloud domain information K. Among them, the preset frequency of the target is a value of 2. And the target area ratio between point cloud domain information A and point cloud domain information E and point cloud domain information J is greater than 70%, then the point cloud domain information A and point cloud domain information E and point cloud domain information J are characterized as the same point cloud information, and the corresponding mapping objects are the same object.

[0037] Step 5: For each point cloud domain information in the at least one point cloud domain information, perform the following second generation step:

[0038] Sub-step 1: determining an initial point cloud data set corresponding to the point cloud domain information as a target initial point cloud data set, wherein the target initial point cloud data set is each initial point cloud data set in at least one point cloud domain information set that maps the same object as the point cloud domain information and has overlapping domains.

[0039] Sub-step 2: generating a point cloud data set corresponding to the point cloud domain information according to the target initial point cloud data set.

[0040] As an example, first, the execution subject may fuse each point cloud data in the target initial point cloud data set to generate a fused point cloud data set, and then perform deduplication processing on each fused point cloud data in the fused point cloud data set to generate a point cloud data set.

[0041] In the sixth step, the obtained at least one point cloud data group is determined as the above-mentioned point cloud data group set.

[0042] In some optional implementations of some embodiments, the performing of point cloud data classification for the point cloud data set to generate a point cloud data set may include the following steps:

[0043] In the first step, each point cloud data in the above point cloud data set is preprocessed to generate a preprocessed point cloud data set, which will not be explained in detail.

[0044] The second step is to determine the object information set corresponding to the target power area. The object information in the object information set corresponds to different object categories. The object information may be various building objects placed in the target power area. For example, the object information set may include: overhead lines, electric towers, and wind turbines.

[0045] The third step is to determine the difference feature set and the corresponding feature importance set corresponding to the above object information set. The difference feature can characterize the object difference between each object information. For example, the difference feature set may include: shape difference feature, area difference feature. There is a one-to-one correspondence between the difference features in the difference feature set and the feature importance in the feature importance set. The feature importance can characterize the feature importance of the difference feature. Each difference feature can be preset. The feature degree corresponding to each difference feature can be preset. The feature degree can be a numerical value between 0 and 1. The higher the numerical value, the higher the importance of the corresponding difference feature.

[0046] The fourth step is to sort the various difference features in the difference feature set according to the feature importance set to generate a difference feature sequence.

[0047] As an example, the execution subject may sort the difference features in the difference feature set in descending order of feature importance to generate a difference feature sequence.

[0048] In the fifth step, based on the above difference feature sequence, point cloud data clustering processing is performed on the above point cloud data set to generate the above point cloud data set.

[0049] As an example, the execution subject may perform point cloud data clustering processing on the point cloud data set using a K-means clustering algorithm according to a difference feature sequence to generate the point cloud data set.

[0050] In some optional implementations of some embodiments, the difference features in the above-mentioned difference feature sequence are arranged in descending order according to the feature importance.

[0051] Optionally, performing point cloud data clustering processing on the point cloud data set according to the difference feature sequence to generate the point cloud data set may include the following steps:

[0052] In the first step, in response to determining that the classified available resource amount corresponding to the above point cloud data set is greater than the first preset resource amount and less than the second preset resource amount, for the target difference feature in the difference feature sequence, the following third generation step is performed:

[0053] Sub-step 1, in response to determining that the target difference feature is the difference feature at the initial position in the difference feature sequence, determining whether the feature importance corresponding to the target difference feature is greater than or equal to the target value. The target value may be a preset value. The classification available resource amount may be the amount of computational resources that can be used in the process of performing a point cloud data classification operation (or clustering operation). The first preset resource amount and the second preset resource amount may be preset based on relevant business scenarios.

[0054] Sub-step 2: in response to determining that the value is less than the target value, determining a next difference feature corresponding to the target difference feature as a first adjacent difference feature.

[0055] Sub-step 3: determining the number of difference feature combinations corresponding to the above-classified available resource quantities, wherein the number of difference feature combinations may be the number of combinations of difference features.

[0056] As an example, the execution entity may determine the number of difference feature combinations corresponding to the above-classified available resource quantities through a resource quantity association table.

[0057] Sub-step 4: Determine the sum of the feature importance corresponding to the first adjacent difference feature and the feature importance corresponding to the target difference feature to obtain the first feature importance sum.

[0058] Sub-step 5, in response to determining that the first feature importance is less than the above target value, and the number of the above difference feature combinations is greater than the number of features corresponding to the target difference feature and the first adjacent difference feature, determine the next difference feature corresponding to the first adjacent difference feature as the second adjacent difference feature.

[0059] Sub-step 6, determining whether the second feature importance sum is greater than or equal to the target value, wherein the second feature importance sum is based on the sum of the first feature importance sum and the feature importance corresponding to the second adjacent difference feature.

[0060] Sub-step 7, in response to determining that the second feature importance is greater than or equal to the target value, combining the target difference feature, the first adjacent difference feature and the second adjacent difference feature to generate a feature group.

[0061] Sub-step 8, in response to determining that the second adjacent difference feature is the last difference feature in the difference feature sequence, sorting the generated at least one feature group according to the generation order corresponding to the feature groups to generate a feature group sequence. The generation order may be a predetermined order.

[0062] Sub-step 9, in response to determining that the second feature importance is less than the target value, determining a difference feature subsequence after the target difference feature, wherein each difference feature in the difference feature subsequence is continuous, and the number of each difference feature included in the difference feature subsequence is less than the number of difference feature combinations.

[0063] Sub-step 10, in response to determining that the sum of the feature importance sub-sequences corresponding to the difference feature sub-sequences is less than or equal to the target value, determining the difference feature sub-sequences as a feature group.

[0064] Sub-step 11, in response to determining that the sum of the feature importance subsequences corresponding to the difference feature subsequences is greater than the above-mentioned target value, determining the previous target difference feature subsequence in the difference feature subsequence as a feature group, wherein the feature importance subsequence corresponding to the previous target difference feature subsequence is greater than or equal to the above-mentioned target value, the difference feature at the initial position corresponding to the difference feature subsequence is the same as the difference feature at the initial position corresponding to the previous target difference feature subsequence, and the feature importance subsequence corresponding to the difference feature subsequence after removing the difference feature at the last position in the previous target difference feature subsequence is less than the above-mentioned target value.

[0065] Sub-step 12, generating a point cloud data set according to the obtained feature group sequence.

[0066] In the second step, in response to determining that the second adjacent difference feature is not the difference feature at the end position in the difference feature sequence, the feature group sequence is removed from the difference feature sequence to obtain a difference feature sequence after removal.

[0067] The third step is to use the difference feature sequence after removal as the difference feature sequence and continue to execute the third generation step.

[0068] In some optional implementations of some embodiments, the execution subject may generate a point cloud data set according to the obtained feature group sequence, including the following steps:

[0069] In the first step, for the target feature group in the feature group sequence, the following fourth generation step is performed:

[0070] Sub-step 1: Determine whether there is a corresponding initial clustering result for the target feature information, wherein the target feature group is the feature group at the initial position in the feature group sequence. The initial clustering result may be a result after preliminary clustering.

[0071] Sub-step 2, in response to determining existence, performing clustering processing on the initial clustering results using the target feature group as a clustering criterion to obtain candidate clustering results.

[0072] Sub-step 3, in response to determining that the target feature group is the feature group at the last position in the feature group sequence, determining the candidate point cloud data group set corresponding to the candidate clustering result as the above point cloud data group set.

[0073] In the second step, in response to determining that the target feature group is not the feature group at the end position in the feature group sequence, the target feature group is removed from the feature group sequence to generate a post-removal feature group sequence;

[0074] The third step is to use the removed feature group sequence as the feature group sequence and continue to execute the fourth generation step.

[0075] As one of the invention points, the second technical problem "the clustering effect of the point cloud data groups in the point cloud data set is poor" is solved. Based on this, the present invention sets a combination of difference features corresponding to the classified available resource quantities and the difference feature sequences to generate a diversified feature group sequence. Based on the feature group sequence and utilizing relevant clustering algorithms, the clustering processing of the point cloud data can be accurately realized to obtain a more accurate point cloud data group.

[0076] Step 104 , generating point cloud data group neighboring relationship information corresponding to each point cloud data group in the above point cloud data group set, and obtaining a point cloud data group neighboring relationship information set.

[0077] In some embodiments, the execution entity may generate point cloud data group proximity information corresponding to each point cloud data group in the point cloud data group set to obtain a point cloud data group proximity information set. The point cloud data group proximity information may characterize the proximity relationship between each point cloud data group. The point cloud data group proximity information corresponding to a point cloud data group may characterize at least one point cloud data group that has a position proximity relationship with the point cloud data group. For example, for point cloud data group A, the corresponding point cloud data group proximity information may be "point cloud data group A is adjacent to point cloud data group B, point cloud data group C and point cloud data group D". The point cloud data group proximity relationship may characterize the existence of at least one of the following relationships between point cloud data groups: an intersecting relationship, a non-intersecting relationship with a minimum parallel distance less than a predetermined value.

[0078] As an example, for each point cloud data group in the above-mentioned point cloud data group set, the above-mentioned execution entity can generate the point cloud data group proximity relationship information corresponding to the above-mentioned point cloud data group based on the intersection relationship or the minimum distance between the corresponding position area of ​​the point cloud data group and the corresponding position area subsets of the remaining point cloud data group subsets.

[0079] Step 105: for each piece of overhead line information in the at least one piece of overhead line information, perform the following first generation step:

[0080] Step 1051, determining a point cloud data group in the point cloud data group set corresponding to the overhead line information as a target point cloud data group.

[0081] In some embodiments, the execution entity may determine a point cloud data group in the point cloud data group set corresponding to the overhead line information as a target point cloud data group.

[0082] As an example, first, the execution subject may compare the line location area included in the overhead line information with the location area corresponding to the candidate point cloud data set to determine the location area overlap percentage. Then, in response to determining that the location area overlap percentage is greater than the target percentage, information is generated indicating that the candidate point cloud data set is the point cloud data set corresponding to the overhead line information.

[0083] Step 1052: Determine at least one adjacent point cloud data group corresponding to the overhead line information according to the adjacent relationship information of the point cloud data group corresponding to the overhead line information.

[0084] In some embodiments, the execution subject may determine at least one adjacent point cloud data group corresponding to the overhead line information based on the adjacent relationship information of the point cloud data group corresponding to the overhead line information, wherein each adjacent point cloud data group in the at least one adjacent point cloud data group is in a positional proximity or partial overlap relationship with the overhead line information.

[0085] As an example, the execution subject may query at least one adjacent point cloud data group corresponding to at least one adjacent point cloud data group information included in the adjacent relationship information of the point cloud data group by means of a point cloud data group query. There is a one-to-one correspondence between the adjacent point cloud data group information in the at least one adjacent point cloud data group information and the adjacent point cloud data group in the at least one adjacent point cloud data group.

[0086] Step 1053: Generate distance safety information corresponding to the overhead line information based on the at least one adjacent point cloud data group and the target point cloud data group.

[0087] In some embodiments, the execution subject may generate distance safety information corresponding to the overhead line information based on the at least one adjacent point cloud data group and the target point cloud data group. The distance safety information may indicate whether the line or related construction objects in the surrounding environment corresponding to the overhead line information are within a safe distance range from the overhead line. In practice, the safe distance range may be manually set based on the line type and related line parameters of the line corresponding to the overhead line information.

[0088] As an example, first, the execution entity may determine the location area corresponding to each adjacent point cloud data group in at least one adjacent point cloud data group to obtain at least one location area. Then, determine the location area corresponding to the target point cloud data group. The location area may be a bounding box based on coordinates. Next, determine the regional minimum distance between each location area in at least one location area and the location area corresponding to the target point cloud data group to obtain at least one regional minimum distance. Finally, in response to determining that the minimum value of the at least one regional minimum distance is greater than the minimum value in the safety distance range, generate distance safety information indicating that there is no distance safety problem with the overhead line information. In response to determining that the minimum value of the at least one regional minimum distance is less than the minimum value in the safety distance range, generate distance safety information indicating that there is a distance safety problem with the overhead line information.

[0089] Step 1054, in response to determining that the distance safety information indicates that the overhead line information has a distance safety problem, generating predetermined distance safety information in a predetermined format corresponding to the overhead line information.

[0090] In some embodiments, the execution entity may generate predetermined distance safety information in a predetermined format corresponding to the overhead line information in response to determining that the distance safety information indicates that the overhead line information has a distance safety problem. The predetermined format may be in the form of a key-value pair. The predetermined distance safety information may be object information representing each building object that has a distance hazard with the overhead line information. For example, the predetermined distance safety distance may be {"first building object information: first target area minimum value", "second building object information: second target area minimum value", "third building object information: third target area minimum value", "fourth building object information: fourth target area minimum value"}.

[0091] As an example, first, from at least one regional minimum value, a corresponding regional minimum value that is smaller than the regional minimum value in the above safety distance range is screened as a target regional minimum value, and at least one target regional minimum value is obtained. Then, at least one building object information corresponding to the at least one target regional minimum value is determined. Finally, predetermined distance safety information for at least one building object information and overhead line information is generated.

[0092] In some optional implementations of some embodiments, the execution entity may generate distance safety information corresponding to the overhead line information according to the at least one adjacent point cloud data group and the target point cloud data group, including the following steps:

[0093] In the first step, each adjacent point cloud data group in the at least one adjacent point cloud data group and the target point cloud data group are input into a pre-trained distance generation model to generate distance information, thereby obtaining at least one distance information. The distance generation model may be a neural network model for generating distances set for different types of overhead line information. In practice, the distance generation model may include:

[0094] The second step is to obtain the line distance requirement information corresponding to the overhead line information, wherein the line distance requirement information may be the requirement setting of the line safety distance corresponding to the overhead line information.

[0095] The third step is to generate the distance safety information according to the at least one distance information and the line distance requirement information.

[0096] As an example, the execution entity may generate distance safety information by comparing at least one distance information with line distance requirement information.

[0097] Step 106: Aggregate the obtained at least one distance safety information to generate distance safety summary information corresponding to at least one overhead line information.

[0098] In some embodiments, the execution entity may aggregate the obtained at least one distance safety information to generate distance safety aggregate information corresponding to at least one overhead line information.

[0099] Step 107, sending the distance safety summary information to the target power data terminal, so as to display the distance safety situation corresponding to the at least one overhead line information under the spatial model corresponding to the target power area on the line display interface.

[0100] In some embodiments, the execution entity may send the distance safety summary information to a target power data terminal to display the distance safety situation corresponding to the at least one overhead line information under the spatial model corresponding to the target power area on the line display interface. The target power data terminal may be a terminal for displaying and processing various data related to power in the target power area. The spatial model corresponding to the target power area may be a three-dimensional model.

[0101] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the overhead line safety information display method of some embodiments of the present disclosure, the safety detection of the overhead line in the target power area can be accurately and efficiently realized. Specifically, the reason why the relevant safety detection is not accurate and efficient is that the detection efficiency of the overhead line is low, and the effective measurement of each spatial distance cannot be accurately realized, resulting in low accuracy of safety detection and a greater safety risk. Based on this, the overhead line safety information display method of some embodiments of the present disclosure, first, in response to receiving the overhead line verification information for the target power area, obtains at least one overhead line information corresponding to the above target power area and pre-registered. Here, by determining at least one overhead line information, it is convenient to carry out targeted safety detection of the line. Then, the point cloud data set corresponding to the above target power area is obtained. Here, the spatial arrangement of each object in the target power area is visualized in the form of a point cloud. Then, the point cloud data classification for the above point cloud data set is accurately performed to generate a point cloud data group set to determine the point cloud data group corresponding to each object in the target power area. Next, the point cloud data group proximity relationship information corresponding to each point cloud data group in the above point cloud data group set is generated to obtain the point cloud data group proximity relationship information set, so that each overhead line information can perform distance safety detection for nearby objects. Further, for each overhead line information in the above at least one overhead line information, the following first generation step is performed: the first step is to determine the point cloud data group in the above point cloud data group set corresponding to the above overhead line information as the target point cloud data group to characterize the position information and spatial arrangement information corresponding to the overhead line information. The second step is to determine at least one adjacent point cloud data group corresponding to the above overhead line information based on the point cloud data group proximity relationship information corresponding to the above overhead line information, so as to determine the spatial structure and position information corresponding to at least one nearby object corresponding to the overhead line information. The third step is to accurately generate the distance safety information corresponding to the above overhead line information based on the above at least one adjacent point cloud data group and the above target point cloud data group to characterize the safety level of the line corresponding to the overhead line information at the distance level. In the fourth step, in response to determining that the distance safety information indicates that the overhead line information has a distance safety problem, distance safety information corresponding to the overhead line information in a predetermined format can be accurately generated, so as to facilitate subsequent distance-level sum safety detection for each overhead line information in the target power area. Secondly, the obtained at least one distance safety information is summarized to generate distance safety summary information corresponding to at least one overhead line information, so as to accurately reflect the safety detection status of each overhead line in the target power area at the distance level.Finally, the above distance safety summary information is sent to the target power data terminal to display the distance safety situation corresponding to the above at least one overhead line information under the spatial model corresponding to the above target power area on the line display interface. In summary, through the level of point cloud data, the location information and spatial information corresponding to each object in the target power area can be modeled. Based on this, the distance safety detection between the overhead line information and the adjacent objects can be realized, so as to accurately generate the safety detection summary information corresponding to each overhead line information in the target power area.

[0102] Further references Figure 2 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of an overhead line safety information display device, and these device embodiments are Figure 1 Corresponding to the method embodiments shown, the overhead line safety information display device can be specifically applied to various electronic devices.

[0103] like Figure 2As shown, an overhead line safety information display device 200 includes: a first acquisition unit 201, a second acquisition unit 202, a first execution unit 203, a generation unit 204, a second execution unit 205, an information aggregation unit 206 and a sending unit 207. Among them, the first acquisition unit 201 is configured to, in response to receiving overhead line verification information for a target power area, acquire at least one pre-registered overhead line information corresponding to the above target power area; the second acquisition unit 202 is configured to acquire a point cloud data set corresponding to the above target power area; the first execution unit 203 is configured to perform point cloud data classification for the above point cloud data set to generate a point cloud data set; the generation unit 204 is configured to generate point cloud data set proximity relationship information corresponding to each point cloud data set in the above point cloud data set to obtain a point cloud data set proximity relationship information set; the second execution unit 205 is configured to perform the following first generation step for each overhead line information in the above at least one overhead line information: determine the point cloud data set in the above point cloud data set corresponding to the above overhead line information as the target point cloud data set; based on According to the proximity relationship information of the point cloud data group corresponding to the above-mentioned overhead line information, at least one adjacent point cloud data group corresponding to the above-mentioned overhead line information is determined; according to the above-mentioned at least one adjacent point cloud data group and the above-mentioned target point cloud data group, distance safety information corresponding to the above-mentioned overhead line information is generated; in response to determining that the above-mentioned distance safety information indicates that the above-mentioned overhead line information has a distance safety problem, distance safety information in a predetermined format corresponding to the above-mentioned overhead line information is generated; the information aggregation unit 206 is configured to aggregate the at least one distance safety information obtained to generate distance safety aggregation information corresponding to at least one overhead line information; the sending unit 207 is configured to send the above-mentioned distance safety aggregation information to the target power data terminal to display the distance safety situation corresponding to the above-mentioned at least one overhead line information under the spatial model corresponding to the above-mentioned target power area on the line display interface.

[0104] It is understandable that the units recorded in the overhead line safety information display device 200 are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the overhead line safety information display device 200 and the units contained therein, and will not be described in detail here.

[0105] 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.

[0106] like Figure 3 As shown, the 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 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 via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0107] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although 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 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 required.

[0108] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. 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 a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the 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 method of some embodiments of the present disclosure are executed.

[0109] It should be noted that the computer-readable medium in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with 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 containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, the computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of 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 a computer readable storage medium, which may 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 suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0110] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may 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 future developed network.

[0111] The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; or it may exist independently without being assembled into the electronic device. The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: in response to receiving the overhead line verification information for the target power area, obtains at least one pre-registered overhead line information corresponding to the above-mentioned target power area; obtains the point cloud data set corresponding to the above-mentioned target power area; performs point cloud data classification for the above-mentioned point cloud data set to generate a point cloud data set; generates point cloud data set proximity relationship information corresponding to each point cloud data set in the above-mentioned point cloud data set to obtain a point cloud data set proximity relationship information set; for each of the above-mentioned at least one overhead line information, executes the following first generation step: determines the point cloud data set in the above-mentioned point cloud data set corresponding to the above-mentioned overhead line information as the target point cloud data set ; According to the proximity relationship information of the point cloud data group corresponding to the above-mentioned overhead line information, determine at least one adjacent point cloud data group corresponding to the above-mentioned overhead line information; according to the above-mentioned at least one adjacent point cloud data group and the above-mentioned target point cloud data group, generate distance safety information corresponding to the above-mentioned overhead line information; in response to determining that the above-mentioned distance safety information indicates that the above-mentioned overhead line information has a distance safety problem, generate distance safety information in a predetermined format corresponding to the above-mentioned overhead line information; summarize the at least one distance safety information obtained to generate distance safety summary information corresponding to at least one overhead line information; send the above-mentioned distance safety summary information to the target power data terminal to display the distance safety situation corresponding to the above-mentioned at least one overhead line information under the spatial model corresponding to the above-mentioned target power area on the line display interface.

[0112] 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 separate 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 via 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., via the Internet using an Internet service provider).

[0113] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square 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 square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0114] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be provided in a processor, for example, may be described as: a processor comprising a first acquisition unit, a second acquisition unit, a first execution unit, a generation unit, a second execution unit, an information aggregation unit, and a sending unit. The names of these units do not, in some cases, constitute limitations on the units themselves, for example, the second acquisition unit may also be described as "a unit for acquiring a point cloud data set corresponding to the above-mentioned target power area".

[0115] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, 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.

[0116] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. 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 a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A method for displaying overhead line safety information, comprising: In response to receiving overhead line verification information for a target power area, acquiring at least one piece of overhead line information corresponding to the target power area and registered in advance; Acquire a point cloud data set corresponding to the target power area; performing point cloud data classification on the point cloud data set to generate a point cloud data set; Generate point cloud data group neighboring relationship information corresponding to each point cloud data group in the point cloud data group set to obtain a point cloud data group neighboring relationship information set; For each piece of overhead line information in the at least one piece of overhead line information, the following first generating step is performed: Determine a point cloud data group in the point cloud data group set corresponding to the overhead line information as a target point cloud data group; Determine at least one adjacent point cloud data group corresponding to the overhead line information according to the adjacent relationship information of the point cloud data group corresponding to the overhead line information; generating distance safety information corresponding to the overhead line information according to the at least one adjacent point cloud data group and the target point cloud data group; In response to determining that the distance safety information indicates that the overhead line information has a distance safety problem, generating predetermined distance safety information in a predetermined format corresponding to the overhead line information; Aggregating the obtained at least one predetermined distance safety information to generate distance safety summary information corresponding to at least one overhead line information; The distance safety summary information is sent to a target power data terminal to display the distance safety situation corresponding to the at least one overhead line information under the corresponding space model of the target power area on a line display interface.

2. The method according to claim 1, wherein: The method further comprises: In response to determining that the existence of the distance safety information corresponding to the overhead line information indicates that there is a safety problem, line adjustment for at least one target overhead line information is performed.

3. The method according to claim 1, wherein: The performing point cloud data classification on the point cloud data set to generate a point cloud data set includes: Performing data preprocessing on each point cloud data in the point cloud data set to generate a preprocessed point cloud data set; Inputting the preprocessed point cloud data set into at least one pre-trained point cloud data classification model to generate at least one initial point cloud data set; For each initial point cloud data set in the at least one initial point cloud data set, determining point cloud domain information corresponding to each initial point cloud data set in the initial point cloud data set to obtain a point cloud domain information set; Filtering point cloud field information whose corresponding information frequency satisfies a preset frequency condition from the obtained at least one point cloud field information set, and obtaining at least one point cloud field information, wherein the number of information corresponding to the at least one point cloud field information is the same as the number of point cloud data groups corresponding to the point cloud data set; For each point cloud domain information in the at least one point cloud domain information, the following second generating step is performed: Determine an initial point cloud data set corresponding to the point cloud domain information as a target initial point cloud data set; Generating a point cloud data group corresponding to the point cloud domain information according to the target initial point cloud data group set; The obtained at least one point cloud data set is determined as the point cloud data set set.

4. The method according to claim 1, wherein: The performing point cloud data classification on the point cloud data set to generate a point cloud data set includes: Performing data preprocessing on each point cloud data in the point cloud data set to generate a preprocessed point cloud data set; Determine an object information set corresponding to the target power area, wherein each object information in the object information set corresponds to a different object category; Determine a difference feature set and a corresponding feature importance set corresponding to the object information set; According to the feature importance set, sorting each difference feature in the difference feature set to generate a difference feature sequence; Point cloud data clustering processing is performed on the point cloud data set according to the difference feature sequence to generate the point cloud data set.

5. The method according to claim 1, wherein: The step of generating distance safety information corresponding to the overhead line information according to the at least one adjacent point cloud data group and the target point cloud data group comprises: Inputting each adjacent point cloud data set in the at least one adjacent point cloud data set and the target point cloud data set into a pre-trained distance generation model to generate distance information, thereby obtaining at least one distance information; Acquire line distance requirement information corresponding to the overhead line information; The distance safety information is generated according to the at least one distance information and the route distance requirement information.

6. An overhead line safety information display device, comprising: A first acquisition unit is configured to, in response to receiving overhead line verification information for a target power area, acquire at least one piece of overhead line information corresponding to the target power area and registered in advance; A second acquisition unit is configured to acquire a point cloud data set corresponding to the target power area; A first execution unit is configured to execute point cloud data classification for the point cloud data set to generate a point cloud data set; A generating unit is configured to generate point cloud data group neighboring relationship information corresponding to each point cloud data group in the point cloud data group set to obtain a point cloud data group neighboring relationship information set; The second execution unit is configured to execute the following first generation step for each piece of overhead line information in the at least one piece of overhead line information: determining a point cloud data group in the point cloud data group set corresponding to the overhead line information as a target point cloud data group; Determine at least one adjacent point cloud data group corresponding to the overhead line information according to the adjacent relationship information of the point cloud data group corresponding to the overhead line information; generating distance safety information corresponding to the overhead line information according to the at least one adjacent point cloud data group and the target point cloud data group; In response to determining that the distance safety information indicates that the overhead line information has a distance safety problem, generating distance safety information in a predetermined format corresponding to the overhead line information; An information summarizing unit is configured to summarize the obtained at least one distance safety information to generate distance safety summary information corresponding to at least one overhead line information; The sending unit is configured to send the distance safety summary information to the target power data terminal to display the distance safety situation corresponding to the at least one overhead line information under the corresponding space model of the target power area on the line display interface.

7. 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 5.

8. 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 5 is implemented.

Images