Power grid equipment transportation method, device, electronic device and computer readable medium

Abstract

The embodiments of the present disclosure disclose a method, device, electronic device and computer-readable medium for transporting power grid equipment. A specific implementation of the method includes: obtaining a power grid equipment data set; generating at least one power grid equipment association structure diagram; performing structure diagram verification on each power grid equipment association structure diagram to generate a verification result; in response to determining that the verification result indicates that the verification is correct, storing at least one power grid equipment association structure diagram and at least one query element in a predetermined format; in response to receiving target query demand information, performing information parsing on the query demand information to generate a query element information set; screening out a set of power grid equipment association structure diagrams; generating a summary of power grid equipment association structure diagrams; displaying a target demand map; and performing power transportation operations. This implementation can quickly and efficiently query at least one corresponding power grid equipment information for the target user's equipment query needs, so as to achieve efficient transportation of electricity.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to a method, device, electronic device, and computer-readable medium for transporting power grid equipment. Background Art

[0002] At present, with the continuous development of the power grid, the effective control of power grid equipment has become one of the main development directions. The effective control of power grid equipment can realize real-time abnormal detection of power grid equipment, real-time equipment update and other operations, greatly improving the efficiency of power control. For the query of relevant equipment information corresponding to power grid equipment, the method usually adopted is: to determine the relevant equipment information of power equipment by traversing each equipment information one by one.

[0003] However, when the above method is used to query the relevant equipment information corresponding to the power equipment, the following technical problems often occur:

[0004] The query efficiency for device information in multiple query directions is low, which wastes a lot of computing resources and leads to low power transportation efficiency of target power grid equipment.

[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 a method, an apparatus, an electronic device, and a computer-readable medium for transporting power grid 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 transporting power grid equipment, comprising: obtaining a power grid equipment data set for a power grid equipment set in a target area; generating at least one power grid equipment association structure diagram for the target area based on the power grid equipment data set, wherein each power grid equipment association structure diagram has a corresponding query element; performing a structure diagram verification on each power grid equipment association structure diagram in the at least one power grid equipment association structure diagram to generate a verification result; in response to determining that the verification result indicates that the verification is correct, storing the at least one power grid equipment association structure diagram and the corresponding at least one query element in a predetermined format; in response to receiving a query requirement information input by a target user in a power grid equipment query interface, information, parse the query demand information to generate a query element information set; filter out a grid equipment association structure diagram set corresponding to the query element information set from at least one stored grid equipment association structure diagram; generate a summary grid equipment association structure diagram based on the grid equipment association structure diagram set; display a target demand map on the grid equipment query interface, wherein the target demand map is a map generated based on the summary grid association structure diagram and displays the queried grid equipment information, wherein the target demand map supports various map operations for the queried grid equipment information; in response to receiving the power transportation information, execute a power transportation operation for the target grid equipment in the target demand map.

[0009] In a second aspect, some embodiments of the present disclosure provide a power grid equipment transportation device, comprising: an acquisition unit, configured to acquire a power grid equipment data set for a target area and for a power grid equipment set; a first generation unit, configured to generate at least one power grid equipment association structure diagram for the target area based on the power grid equipment data set, wherein each power grid equipment association structure diagram has a corresponding query element; a verification unit, configured to perform a structure diagram verification on each power grid equipment association structure diagram in the at least one power grid equipment association structure diagram to generate a verification result; a storage unit, configured to store the at least one power grid equipment association structure diagram and the corresponding at least one query element in a predetermined format in response to determining that the verification result indicates that the verification is correct; an information parsing unit, configured to receive an information input by a target user in a power grid equipment query interface; Query demand information, parse the query demand information to generate a query element information set; a screening unit is configured to screen out a grid equipment association structure diagram set corresponding to the query element information set from at least one stored grid equipment association structure diagram; a second generating unit is configured to generate a summary grid equipment association structure diagram based on the grid equipment association structure diagram set; a display unit is configured to display a target demand map on the grid equipment query interface, wherein the target demand map is a map generated based on the summary grid equipment association structure diagram and displays the queried grid equipment information, wherein the target demand map supports various map operations for the queried grid equipment information; an execution unit is configured to execute power transportation operations for the target grid equipment in the target demand map in response to receiving power transportation information.

[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 power grid equipment transportation method of some embodiments of the present disclosure, it is possible to quickly and efficiently query at least one corresponding power grid equipment information for the equipment query needs of the target user. Specifically, the reason for the inaccuracy of the relevant power grid equipment information query is that the query efficiency is low for the query of equipment information in multiple query directions, which wastes a lot of computing resources. Based on this, the power grid equipment transportation method of some embodiments of the present disclosure first obtains a power grid equipment data set for the power grid equipment set in the target area, wherein the obtained power grid equipment data set is used as the basic data set of the subsequent power grid equipment association structure diagram, so as to accurately generate at least one power grid equipment association structure diagram. Then, according to the above-mentioned power grid equipment data set, at least one power grid equipment association structure diagram for the above-mentioned target area can be accurately generated, wherein each power grid equipment association structure diagram has a corresponding query element. Here, through at least one power grid equipment association structure diagram, effective control of the power grid equipment element information for each query element can be achieved, and efficient modification of the power grid equipment association structure diagram can be achieved for the power grid equipment element information of a single query element. Next, a structure diagram verification is performed on each of the above-mentioned at least one power grid device association structure diagram to generate a verification result to ensure the accuracy of each power grid device element information in the at least one power grid device association structure diagram. Then, in response to determining that the above-mentioned verification result indicates that the verification is correct, the above-mentioned at least one power grid device association structure diagram and the corresponding at least one query element are stored in a predetermined format to facilitate subsequent retrieval and query of power grid device information. Secondly, in response to receiving the query demand information input by the target user in the power grid device query interface, the above-mentioned query demand information is parsed to generate a query element information set to facilitate the subsequent determination of the query target of the target user and to facilitate the use of the corresponding power grid device association structure diagram set to achieve efficient query of power grid device information. Furthermore, the power grid device association structure diagram set corresponding to the above-mentioned query element information set is screened out from the stored at least one power grid device association structure diagram to facilitate the subsequent information summary of the power grid device information that the target user wants to query to ensure the accuracy of the queried power grid device information. Further, according to the above-mentioned power grid device association structure diagram set, a summary power grid device association structure diagram representing each power grid device information to be queried can be accurately generated. Next, the target demand map is displayed on the above-mentioned power grid equipment query interface so that the target user can obtain the information of each power grid equipment to be queried. The above-mentioned target demand map is a map generated according to the above-mentioned aggregated power grid association structure diagram and displays the queried power grid equipment information, wherein the above-mentioned target demand map supports various map operations for the queried power grid equipment information. Finally, in response to receiving the power transportation information, the power transportation operation for the target power grid equipment in the above-mentioned target demand map is performed to achieve efficient transportation of power.In summary, by storing at least one grid device association structure diagram, the query of grid device information under the combination of various query elements can be efficiently realized, thereby improving the power transmission efficiency of the target grid device. 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 power grid equipment transportation method according to the present disclosure;

[0015] Figure 2 is a schematic structural diagram of some embodiments of the power grid equipment transportation 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 power grid equipment transportation method according to the present disclosure. The power grid equipment transportation method includes the following steps:

[0024] Step 101: Acquire a power grid device data set for a power grid device set in a target area.

[0025] In some embodiments, the execution subject (for example, electronic device) of the above-mentioned power grid equipment transportation method can obtain the power grid equipment data set for the power grid equipment set in the target area through a wired connection method or a wireless connection method. Among them, the target area can be the area monitored by the power equipment. For example, the target area can be Haidian District, Beijing. The power grid equipment set can be each power grid equipment registered and deployed in the target area. The power grid equipment is the power equipment. In practice, the power grid equipment can be but not limited to at least one of the following: generator, mutual inductor, transformer, cable, reactor. There is a one-to-one correspondence between the power grid equipment in the power grid equipment set and the power grid equipment data in the power grid equipment data set. The power grid equipment data may include: relevant connection information and basic equipment information corresponding to the power grid equipment. For example, for the power grid equipment as a target cable, the relevant connection information may include: at least one power grid equipment connected to the target cable, the connection relationship between at least one power grid equipment, and the cable specification information of the target cable.

[0026] Step 102: generating at least one power grid equipment association structure diagram for the target area based on the power grid equipment data set.

[0027] In some embodiments, the execution subject may generate at least one grid device association structure diagram in the form of a spatial index structure for the target area based on the grid device data set. Each grid device association structure diagram has a corresponding query element. There are multiple corresponding query elements for the grid device. The query element may be the smallest unit information for the user to query the grid device. In practice, each query element in the multiple query elements is a full query element. The multiple query elements may be pre-set. In practice, the multiple query elements may include but are not limited to at least one of the following: a device identification element, a device specification element, a location range element, a device type element, a device working status element, and a device cost element. At least one grid device association structure diagram may include but is not limited to at least one of the following: a grid device association structure diagram corresponding to a device identification element, a grid device association structure diagram corresponding to a device specification element, a grid device association structure diagram corresponding to a location range element, a grid device association structure diagram corresponding to a device type element, a grid device association structure diagram corresponding to a device working status element, and a grid device association structure diagram corresponding to a device cost element. In practice, the query information corresponding to the grid device information queried by the user is queried for at least one query element.

[0028] As an example, for each query element in the multiple query elements, first, an element data set corresponding to the query element in the power grid equipment data set is determined. Then, based on the element data set, a power grid equipment association structure diagram corresponding to the query element is generated in the form of a spatial index structure.

[0029] Step 103 : performing a structure diagram verification on each power grid device association structure diagram in the at least one power grid device association structure diagram to generate a verification result.

[0030] In some embodiments, the execution subject may perform a structure diagram verification on each of the at least one power grid device association structure diagram to generate a verification result, wherein the verification result may indicate whether there are errors in the node position and node connection information in each power grid device association structure diagram.

[0031] As an example, the execution subject may verify the node position and node connection information corresponding to each graph node in each power grid device association structure graph to generate a verification result.

[0032] Step 104 , in response to determining that the verification result indicates that the verification is correct, storing the at least one power grid device association structure diagram and the corresponding at least one query element in a predetermined format.

[0033] In some embodiments, in response to determining that the verification result indicates that the verification is correct, the execution entity may store the at least one power grid device association structure diagram and the corresponding at least one query element in a predetermined format. The predetermined format may be a predetermined storage format. There is a one-to-one correspondence between the power grid device association structure diagram in the at least one power grid device association structure diagram and the query element in the at least one query element. For example, the predetermined format may be a tuple format.

[0034] In some optional implementations of some embodiments, after step 104, the steps further include:

[0035] In the first step, in response to determining that the verification result indicates that there is a verification error in the power grid device association structure diagram, a candidate power grid device association structure diagram indicating the verification error and a corresponding problem node set are determined. The problem node may be a node with a position error or a connection relationship error.

[0036] In the second step, each problematic node in the problematic node set in the candidate power grid equipment association structure diagram is corrected to generate a corrected power grid equipment association structure diagram as the power grid equipment association structure diagram.

[0037] In some optional implementations of some embodiments, the above-mentioned predetermined format is in the form of a key-value pair, the key is a query element, and the value is a power grid device association structure diagram.

[0038] Optionally, storing the at least one power grid device association structure diagram and the corresponding at least one query element in a predetermined format may include the following steps:

[0039] The first step is to determine the storage call resource information. The storage call resource information can be the amount of computing resources required to perform the call operation corresponding to the storage content per unit time. The larger the storage call resource amount, the more computing resources can be called per unit time to support more storage resource calls.

[0040] In the second step, in response to determining that the above-mentioned stored call resource information does not meet the preset resource condition, determine that the structure diagram storage method corresponding to the above-mentioned at least one power grid device associated structure diagram is the first storage method and the first hierarchical number. Among them, the preset resource condition indicates that the stored call resource information is less than the predetermined call resource size, that is, the size of the computing resources that can be called is less than the preset computing resource size. The first storage method can be a storage method that represents the storage of the power grid device associated structure diagram according to the number of calls within a predetermined time period in the future. The first hierarchical number can be the number of structure diagram levels into which at least one power grid device associated structure diagram is divided. For example, if the first hierarchical number is 3, at least one power grid device associated structure diagram is divided into 3 structure diagram levels.

[0041] In the third step, for each of the at least one power grid device association structure diagram, the following first generation step is performed:

[0042] Sub-step 1, determine the historical structure diagram call number sequence corresponding to the above-mentioned power grid equipment association structure diagram as the first historical structure diagram call number sequence. Among them, the historical structure diagram call number sequence has a one-to-one correspondence with the historical time in the historical time period. The historical structure diagram call number can be the number of times the power grid equipment association structure diagram is called in the historical time. That is, the historical structure diagram call number sequence is the call number sequence within the historical time period. For example, the current time is May 25, and the historical time period can be [May 20, May 21, May 22, May 23, May 24]. The corresponding historical structure diagram call number sequence can be [the corresponding call number on May 20, the corresponding call number on May 21, the corresponding call number on May 22, the corresponding call number on May 23, and the corresponding call number on May 24].

[0043] Sub-step 2: preprocessing each first history structure diagram call count in the first history structure diagram call count sequence to generate a first preprocessed count sequence. The preprocessing may be but is not limited to at least one of the following: removing maximum and minimum values, data padding, and data deletion.

[0044] Sub-step 3, in response to determining that the storage method of the structure diagram is the first storage method, determine the first future call number sequence corresponding to the power grid device association structure diagram in the future predetermined time period according to the first pre-processed number sequence. The future call number may be the number of times the power grid device association structure diagram is called at a future time. The future predetermined time period includes: a future time sequence. There is a one-to-one correspondence between the future time in the future time sequence and the first future call number in the first future call number sequence.

[0045] As an example, the above-mentioned execution entity can determine the first future call number sequence corresponding to the above-mentioned power grid equipment association structure diagram within a future predetermined time period based on the above-mentioned first preprocessed number sequence using a temporal neural network model (for example, a recurrent neural network model).

[0046] Sub-step 4, determining the total number of calls and the average number of calls corresponding to the first future call number sequence. The total number of calls may be the sum of the first future call numbers in the first future call number sequence. The average number of calls may be the average of the first future call numbers in the first future call number sequence.

[0047] In the fourth step, the respective grid device association structure diagrams in the at least one grid device association structure diagram are graded according to the obtained total call count set, the average call count set and the first graded number, so as to obtain the first storage configuration information characterizing the association relationship between the first grid device association structure diagram set sequence and the structure diagram level set. Among them, the structure diagram levels corresponding to the respective first grid device association structure diagram sets are different, and the number of the first grid device association structure diagram sets corresponding to the first grid device association structure diagram set sequence is the same as the first graded number. For example, the first grid device association structure diagram set sequence includes: the first grid device association structure diagram set A, the first grid device association structure diagram set B, and the first grid device association structure diagram set C. The structure diagram level corresponding to the first grid device association structure diagram set A is the first-level structure diagram level. The structure diagram level corresponding to the second grid device association structure diagram set B is the second-level structure diagram level. The structure diagram level corresponding to the third grid device association structure diagram set C is the third-level structure diagram level. The storage level corresponding to the first-level structure diagram level is higher than the storage level corresponding to the second-level structure diagram level. The storage level corresponding to the second-level structure diagram level is higher than the storage level corresponding to the third-level structure diagram level. The retrieval order corresponding to the storage space corresponding to the first-level structure diagram level is before the retrieval order corresponding to the storage space corresponding to the second-level structure diagram level. The retrieval order corresponding to the storage space corresponding to the second-level structure diagram level is before the retrieval order corresponding to the storage space corresponding to the third-level structure diagram level.

[0048] As an example, first, the above-mentioned execution subject can sort the individual power grid device association structure diagrams in at least one power grid device association structure diagram using the obtained total call count set and average call count set to obtain a power grid device association structure diagram sequence. Then, according to the arrangement order of the power grid device association structure diagrams corresponding to the power grid device association structure diagram sequence, the above-mentioned power grid device association structure diagram sequence is evenly divided into a first number of grades to generate a first power grid device association structure diagram set sequence. According to the arrangement order of the power grid device association structure diagrams corresponding to the power grid device association structure diagram sequence, the structure diagram level corresponding to each first power grid device association structure diagram set is assigned to obtain the level distribution information. Finally, according to the level distribution information, the first storage configuration information is generated.

[0049] In the fifth step, according to the first storage configuration information, each first power grid device association structure atlas set and the query element subset in the first power grid device association structure atlas set sequence is stored in a corresponding storage space by using a key-value pair method to obtain a storage space sequence. There is an element correspondence relationship between the first power grid device association structure graph in the first power grid device association structure graph set and the query element in the query element subset.

[0050] Optionally, the steps further include:

[0051] In the first step, in response to determining that the storage call resource information satisfies the preset resource condition, the structure diagram storage mode corresponding to the at least one power grid device association structure diagram is determined to be a second storage mode and a second number of levels. The first storage mode may be a storage mode that represents the storage of the power grid device association structure diagram according to the number of calls at the next future time of the current time. For example, if the current time is May 27, the next future time may be May 28.

[0052] The second step is to select the next future time under the current time from the above-mentioned future scheduled time periods as the target future time.

[0053] In the third step, for the above target future time, perform the following second generation step:

[0054] Sub-step 1: for each power grid device association structure diagram in the at least one power grid device association structure diagram, executing the following third generation step:

[0055] The first sub-step is to determine the historical structure diagram call frequency sequence corresponding to the above power grid equipment association structure diagram as the second historical structure diagram call frequency sequence.

[0056] The second sub-step is to pre-process each second history structure diagram call count in the second history structure diagram call count sequence to generate a second pre-processed count sequence. The details will not be repeated here. See the generation of the first pre-processed count sequence.

[0057] In the third sub-step, in response to determining that the structure diagram storage method is the second storage method, according to the second pre-processed number sequence, the future call number corresponding to the above-mentioned power grid device associated structure diagram at the above-mentioned target future time is determined as the second future call number. The details are not repeated here. See the generation of the first future call number.

[0058] Sub-step 2, in response to determining that the future time is not the time of the target position in the above-mentioned future predetermined time period, the individual power grid device association structure diagrams in the above-mentioned at least one power grid device association structure diagram are graded according to the obtained at least one second future call number, and the second storage configuration information representing the association relationship between the second power grid device association structure diagram set sequence and the structure diagram level set is obtained, wherein the structure diagram levels corresponding to the individual second power grid device association structure diagram sets are different, and the number of the second power grid device association structure diagram sets corresponding to the above-mentioned second power grid device association structure diagram set sequence is the same as the above-mentioned second grade number. The details will not be repeated here, and refer to the generation of the first storage configuration information.

[0059] Sub-step 3: according to the second storage configuration information, each second power grid device association structure atlas and the corresponding query element in the second power grid device association structure atlas sequence are stored in the corresponding storage space by using a key-value pair method to obtain a storage space sequence.

[0060] Step 105 , in response to receiving the query requirement information input by the target user in the power grid device query interface, the query requirement information is parsed to generate a query element information set.

[0061] In some embodiments, in response to receiving the query demand information input by the target user in the power grid device query interface, the above-mentioned execution subject may perform information analysis on the above-mentioned query demand information to generate a query element set. Among them, the target user may be a user who performs a power grid device query. The power grid device query interface may be an interface for querying power grid device information. The query demand information may be the query content for the power grid device to be queried. In practice, the query demand information is query information generated based on a predetermined number of query elements. For example, the query demand information may be: obtaining power grid device information whose device identification element is a first device identification, whose device specification element is a first device specification, and whose location range element is a first location range. In practice, the query demand information may be information combined based on a predetermined number of query elements by a preset information format. The query element information may be the element query content corresponding to the query element. The query element information in the query element information set has a one-to-one correspondence with the query elements in the query element set.

[0062] As an example, the execution entity may parse the query requirement information through a regular expression to generate a query element set.

[0063] Step 106: Filter out a set of power grid equipment association structure diagrams corresponding to the query element information set from at least one stored power grid equipment association structure diagram.

[0064] In some embodiments, the execution subject may filter out a grid device association structure diagram set corresponding to the query element set from at least one stored grid device association structure diagram, wherein the query elements in the query element set correspond to the grid device association structure diagram in the grid device association structure diagram set.

[0065] In some optional implementations of some embodiments, the execution subject may determine the power grid equipment association structure diagram corresponding to each query element information in the query element information set by querying each storage space in the storage space sequence in sequence, and obtain a set of power grid equipment association structure diagrams. Each storage space in the storage space sequence may be arranged in descending order according to the access frequency of the storage space. The storage space stores a subset of the power grid equipment association structure diagrams whose access frequency is within the corresponding interval.

[0066] In some optional implementations of some embodiments, the query element information set includes: device type element information, location range element information, and device specification element information. The device type element information may be device type content corresponding to the device type element. The location range element information may be location content corresponding to the location range element. The device specification element information may be device specification content corresponding to the device specification element.

[0067] Optionally, the above-mentioned screening out the power grid device association structure graph set corresponding to the above-mentioned query element set from the at least one stored power grid device association structure graph may include the following steps:

[0068] In the first step, according to the above-mentioned position range element information, each power grid device association structure diagram in the above-mentioned at least one power grid device association structure diagram is subjected to structure diagram cropping to generate a cropped structure diagram, thereby obtaining at least one cropped structure diagram. The position range information corresponding to the cropped structure diagram is the same as the above-mentioned position range element information.

[0069] In a second step, a tailored structure diagram corresponding to the device type element information is selected from the at least one tailored structure diagram as a device type structure diagram.

[0070] The third step is to select a tailored structure diagram corresponding to the device specification element information from the at least one tailored structure diagram as the device specification structure diagram.

[0071] The fourth step is to determine the above-mentioned equipment type structure diagram and the above-mentioned equipment specification structure diagram as the above-mentioned power grid equipment associated structure diagram set.

[0072] Step 107: Generate a summary grid equipment association structure diagram based on the above grid equipment association structure diagram set.

[0073] In some embodiments, the execution subject may generate a summary grid device association structure diagram based on the grid device association structure diagram set. The summary grid device association structure diagram may be a general structure diagram of each grid device corresponding to the summary grid device association structure diagram set. The summary grid device association structure diagram displays the grid information set queried by the target user.

[0074] In some optional implementations of some embodiments, the nodes in the power grid device association structure diagram in the above-mentioned power grid device association structure diagram set include: a power grid device identifier and query element information corresponding to the power grid device association structure diagram. In addition, the edges between the nodes in the power grid device association structure diagram can represent the positional relationship between the nodes. The power grid device identifier can be a device identifier corresponding to the power grid device.

[0075] Optionally, the generating of the summary power grid device association structure diagram according to the power grid device association structure diagram set may include the following steps:

[0076] The first step is to determine the grid equipment identification group corresponding to each grid equipment association structure diagram in the grid equipment association structure diagram set, wherein the grid equipment identification group corresponding to the grid equipment association structure diagram may be each grid equipment identification existing in the grid equipment association structure diagram.

[0077] In the second step, for each power grid device identifier in the obtained power grid device identifier group set, the following determination steps are performed:

[0078] Sub-step 1: determine the grid equipment identification group corresponding to the grid equipment identification as the target grid equipment identification group, wherein the target grid equipment identification group may be the grid equipment identification group to which the grid equipment identification belongs.

[0079] Sub-step 2: determining the remaining grid device identification group subsets for the target grid device identification group, wherein the remaining grid device identification group subsets may be the grid device identification groups after removing the remaining grid device identification groups of the target grid device identification group from the grid device identification group set.

[0080] Sub-step 3: for each grid equipment identification group in the remaining grid equipment identification group subsets, determining whether there is an identification identical to the grid equipment identification in the grid equipment identification group, and obtaining a determination result.

[0081] Sub-step 4: in response to each determination result in the obtained determination result subset indicating the existence of an identifier identical to the above-mentioned power grid device identifier, determining the above-mentioned power grid device identifier as a target power grid device identifier.

[0082] The third step is to determine the query element information set group corresponding to the obtained target power grid device identification group. There is a one-to-one correspondence between the target power grid device identification in the target power grid device identification group and the query element information set in the query element information set group. That is, each target power grid device identification has a corresponding query element set.

[0083] The fourth step is to generate the above-mentioned summary power grid equipment association structure diagram based on the above-mentioned query element information set group.

[0084] As an example, the execution subject may mark the query element information set group and the target power grid device identification group on a blank device association structure diagram to generate a summary power grid device association structure diagram.

[0085] Step 108: Display the target demand map on the power grid equipment query interface.

[0086] In some embodiments, the execution subject may display a target demand map on the power grid device query interface. The target demand map is a map generated based on the aggregated power grid association structure diagram and displays the queried power grid device information, and the target demand map supports various map operations for the queried power grid device information. In practice, the map operation may be one of the following: click operation, zoom operation, and add operation.

[0087] In some optional implementations of some embodiments, after step 108, the steps further include:

[0088] The first step is to determine at least one grid device update data corresponding to the at least one first grid device in the above-mentioned grid device set in response to receiving data change information for at least one first grid device. The data change information can indicate that information changes have occurred corresponding to the at least one first grid device. The grid device update data can be the latest grid device data corresponding to the first grid device. There is a one-to-one correspondence between the first grid device in the at least one first grid device and the grid device update data in the at least one grid device update data.

[0089] The second step is to determine at least one query element corresponding to the at least one power grid device update data as at least one first query element. The power grid device update data in the at least one power grid device update data and the first query element in the at least one first query element have a one-to-one correspondence.

[0090] In the third step, for each first query element in the at least one first query element, the following fourth generation step is performed:

[0091] Sub-step 1: determine the power grid equipment association structure diagram corresponding to the first query element as the first power grid equipment association structure diagram.

[0092] Sub-step 2: determining a subset of the power grid device update data corresponding to the first query element in the at least one power grid device update data.

[0093] Sub-step 3: adjusting the structure diagram of the first power grid equipment association structure diagram according to the power grid equipment update data subset to generate a first adjusted power grid equipment association structure diagram.

[0094] As an example, the execution subject may adjust the nodes and edges in the first power grid device association structure graph according to the power grid device update data subset to generate a first adjusted power grid device association structure graph.

[0095] The fourth step is to replace the corresponding power grid equipment association structure diagram in at least one power grid equipment association structure diagram with the corresponding first adjusted power grid equipment association structure diagram to generate at least one first replaced power grid equipment association structure diagram as at least one power grid equipment association structure diagram.

[0096] The fifth step is to determine at least one grid device addition data corresponding to the at least one second grid device in the grid device set in response to receiving the data addition information for the at least one second grid device.

[0097] The sixth step is to determine at least one query element corresponding to the at least one power grid device added data as at least one second query element.

[0098] Step 7: for each second query element in the at least one second query element, perform the following fifth generation step:

[0099] Sub-step 1: determine the power grid equipment association structure diagram corresponding to the second query element as the second power grid equipment association structure diagram.

[0100] Sub-step 2: determining a subset of the power grid equipment addition data corresponding to the second query element in the at least one power grid equipment addition data.

[0101] Sub-step 3: adjusting the second power grid equipment association structure diagram according to the power grid equipment addition data subset to generate a second adjusted power grid equipment association structure diagram.

[0102] In the eighth step, the corresponding power grid equipment association structure diagram in at least one power grid equipment association structure diagram is replaced with the corresponding second adjusted power grid equipment association structure diagram to generate at least one second replaced power grid equipment association structure diagram as at least one power grid equipment association structure diagram.

[0103] In a ninth step, in response to receiving data deletion information for at least one second power grid device in the power grid device set, determining at least one power grid device deletion data corresponding to the at least one second power grid device.

[0104] The tenth step is to determine at least one query element corresponding to the at least one power grid device deletion data as at least one third query element.

[0105] In step 11, for each third query element in the at least one third query element, perform the following sixth generation step:

[0106] Sub-step 1: determining the power grid equipment association structure diagram corresponding to the third query element as the third power grid equipment association structure diagram.

[0107] Sub-step 2: determining a subset of the power grid device deletion data corresponding to the third query element in the at least one power grid device deletion data.

[0108] Sub-step 3: adjusting the third power grid device association structure diagram according to the power grid device deletion data subset to generate a third adjusted power grid device association structure diagram. The specific implementation method will not be described in detail.

[0109] In the twelfth step, the corresponding power grid equipment association structure diagram in at least one power grid equipment association structure diagram is replaced with the corresponding third adjusted power grid equipment association structure diagram to generate at least one power grid equipment association structure diagram after the third replacement as at least one power grid equipment association structure diagram.

[0110] The above technical solution and its related contents, as an inventive point of an embodiment of the present disclosure, solve the technical problem that the update efficiency of the corresponding data of each grid device information in the grid device set is low, resulting in various power problems in the application process of the grid device. Based on this, the present disclosure discloses the effective update of the corresponding data of the real-time grid device information in the scenarios of data change, data deletion and data addition, which greatly improves the data update efficiency.

[0111] Step 109 , in response to receiving the power transportation information, executing a power transportation operation for the target power grid device in the target demand map.

[0112] In some embodiments, in response to receiving the power transportation information, the execution subject may execute a power transportation operation for the target power grid device in the target demand map, wherein the power transportation information may represent information for power transportation supply.

[0113] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the power grid equipment transportation method of some embodiments of the present disclosure, it is possible to quickly and efficiently query at least one corresponding power grid equipment information for the equipment query needs of the target user. Specifically, the reason for the inaccuracy of the relevant power grid equipment information query is that the query efficiency is low for the query of equipment information in multiple query directions, which wastes a lot of computing resources. Based on this, the power grid equipment transportation method of some embodiments of the present disclosure first obtains a power grid equipment data set for the power grid equipment set in the target area, wherein the obtained power grid equipment data set is used as the basic data set of the subsequent power grid equipment association structure diagram, so as to accurately generate at least one power grid equipment association structure diagram. Then, according to the above-mentioned power grid equipment data set, at least one power grid equipment association structure diagram for the above-mentioned target area can be accurately generated, wherein each power grid equipment association structure diagram has a corresponding query element. Here, through at least one power grid equipment association structure diagram, effective control of the power grid equipment element information for each query element can be achieved, and efficient modification of the power grid equipment association structure diagram can be achieved for the power grid equipment element information of a single query element. Next, a structure diagram verification is performed on each of the above-mentioned at least one power grid device association structure diagram to generate a verification result to ensure the accuracy of each power grid device element information in the at least one power grid device association structure diagram. Then, in response to determining that the above-mentioned verification result indicates that the verification is correct, the above-mentioned at least one power grid device association structure diagram and the corresponding at least one query element are stored in a predetermined format to facilitate subsequent retrieval and query of power grid device information. Secondly, in response to receiving the query demand information input by the target user in the power grid device query interface, the above-mentioned query demand information is parsed to generate a query element information set to facilitate the subsequent determination of the query target of the target user and to facilitate the use of the corresponding power grid device association structure diagram set to achieve efficient query of power grid device information. Furthermore, the power grid device association structure diagram set corresponding to the above-mentioned query element information set is screened out from the stored at least one power grid device association structure diagram to facilitate the subsequent information summary of the power grid device information that the target user wants to query to ensure the accuracy of the queried power grid device information. Further, according to the above-mentioned power grid device association structure diagram set, a summary power grid device association structure diagram representing each power grid device information to be queried can be accurately generated. Next, the target demand map is displayed on the above-mentioned power grid equipment query interface so that the target user can obtain the information of each power grid equipment to be queried. The above-mentioned target demand map is a map generated according to the above-mentioned aggregated power grid association structure diagram and displays the queried power grid equipment information, wherein the above-mentioned target demand map supports various map operations for the queried power grid equipment information. Finally, in response to receiving the power transportation information, the power transportation operation for the target power grid equipment in the above-mentioned target demand map is performed to achieve efficient transportation of power.In summary, by storing at least one grid device association structure diagram, the query of grid device information under the combination of various query elements can be efficiently realized, thereby improving the power transmission efficiency of the target grid device.

[0114] Further references Figure 2 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a power grid equipment transportation device. These device embodiments are similar to Figure 1 Corresponding to the method embodiments shown, the power grid equipment transportation device can be specifically applied to various electronic devices.

[0115] like Figure 2 As shown, a power grid equipment transportation device 200 includes: an acquisition unit 201, a first generation unit 202, a verification unit 203, a storage unit 204, an information parsing unit 205, a screening unit 206, a second generation unit 207, a display unit 208 and an execution unit 209. The acquisition unit 201 is configured to acquire a power grid equipment data set for a target area and for a power grid equipment set; the first generation unit 202 is configured to generate at least one power grid equipment association structure diagram for the target area based on the power grid equipment data set, wherein each power grid equipment association structure diagram has a corresponding query element; the verification unit 203 is configured to perform a structure diagram verification on each power grid equipment association structure diagram in the at least one power grid equipment association structure diagram to generate a verification result; the storage unit 204 is configured to store the at least one power grid equipment association structure diagram and the corresponding at least one query element in a predetermined format in response to determining that the verification result indicates that the verification is correct; the information parsing unit 205 is configured to perform a structure diagram verification on the query requirement information input by the target user in the power grid equipment query interface in response to receiving the query requirement information input by the target user in the power grid equipment query interface The query information is parsed to generate a query element information set; a screening unit 206 is configured to screen out a set of grid equipment association structure diagrams corresponding to the above query element information set from at least one stored grid equipment association structure diagram; a second generating unit 207 is configured to generate a summary grid equipment association structure diagram based on the above grid equipment association structure diagram set; a display unit 208 is configured to display a target demand map on the above grid equipment query interface, wherein the target demand map is a map generated based on the above summary grid equipment association structure diagram and displays the queried grid equipment information, wherein the target demand map supports various map operations for the queried grid equipment information; an execution unit 209 is configured to execute a power transportation operation for a target grid equipment in the above target demand map in response to receiving power transportation information.

[0116] It is understandable that the units described in the power grid equipment transportation device 200 are similar to those described in the reference Figure 1Therefore, the operations, features and beneficial effects described above for the method are also applicable to the power grid equipment transportation device 200 and the units included therein, and will not be described in detail here.

[0117] 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.

[0118] 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 to 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.

[0119] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, 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 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.

[0120] 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.

[0121] 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. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, 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 appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0122] 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.

[0123] 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: obtains a power grid equipment data set for a power grid equipment set in a target area; generates at least one power grid equipment association structure diagram for the above-mentioned target area based on the above-mentioned power grid equipment data set, wherein each power grid equipment association structure diagram has a corresponding query element; performs a structure diagram verification on each power grid equipment association structure diagram in the above-mentioned at least one power grid equipment association structure diagram to generate a verification result; in response to determining that the above-mentioned verification result indicates that the verification is correct, the above-mentioned at least one power grid equipment association structure diagram and the corresponding at least one query element are stored in a predetermined format; in response to receiving a query from a target user in the power grid equipment query interface The method comprises the steps of: receiving query demand information inputted by the user, parsing the query demand information to generate a query element information set; screening a grid equipment association structure diagram set corresponding to the query element information set from at least one stored grid equipment association structure diagram; generating a summary grid equipment association structure diagram according to the grid equipment association structure diagram set; displaying a target demand map on the grid equipment query interface, wherein the target demand map is a map generated according to the summary grid association structure diagram and displaying the queried grid equipment information, wherein the target demand map supports various map operations for the queried grid equipment information; and executing a power transportation operation for a target grid equipment in the target demand map in response to receiving power transportation information.

[0124] 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 the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0125] 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.

[0126] 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, may be described as: a processor including an acquisition unit, a first generation unit, a verification unit, a storage unit, an information parsing unit, a screening unit, a second generation unit, a display unit, and an execution unit. The names of these units do not, in some cases, constitute limitations on the units themselves, for example, the acquisition unit may also be described as a "unit for acquiring a grid device data set for a grid device set in a target area".

[0127] 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.

[0128] 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 technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A method for transporting power grid equipment, comprising: Acquire a power grid device dataset for a power grid device set in a target area; generating, according to the power grid equipment data set, at least one power grid equipment association structure diagram for the target area, wherein each power grid equipment association structure diagram has a corresponding query element; Performing a structure diagram verification on each power grid device association structure diagram in the at least one power grid device association structure diagram to generate a verification result; In response to determining that the verification result indicates that the verification is correct, the at least one power grid device association structure diagram and the corresponding at least one query element are stored in a predetermined format, and the predetermined format is in the form of a key-value pair, the key is the query element, and the value is the power grid device association structure diagram. The at least one power grid device association structure diagram and the corresponding at least one query element are stored in a predetermined format, including: determining to store and call resource information; in response to determining that the storage and call resource information does not meet the preset resource conditions, determining that the structure diagram storage method corresponding to the at least one power grid device association structure diagram is a first storage method and a first hierarchical number; for each power grid device association structure diagram in the at least one power grid device association structure diagram, performing the following first generation step: determining a historical structure diagram call count sequence corresponding to the power grid device association structure diagram as a first historical structure diagram call count sequence; preprocessing each first historical structure diagram call count sequence in the first historical structure diagram call count sequence to generate a first preprocessed count sequence; in response to determining that the structure diagram storage The method is the first storage method, and according to the first pre-processed number sequence, a first future call number sequence corresponding to the power grid device association structure diagram within a future predetermined time period is determined; the total call number and the average call number corresponding to the first future call number sequence are determined; according to the obtained total call number set, the average call number set and the first grade number, each power grid device association structure diagram in the at least one power grid device association structure diagram is graded to obtain the first storage configuration information characterizing the association relationship between the first power grid device association structure diagram set sequence and the structure diagram level set, wherein the structure diagram levels corresponding to each first power grid device association structure diagram set are different, and the number of first power grid device association structure diagram sets corresponding to the first power grid device association structure diagram set sequence is the same as the first grade number; according to the first storage configuration information, each first power grid device association structure diagram set and the query element subset in the first power grid device association structure diagram set sequence are stored in the corresponding storage space by using a key-value pair method to obtain a storage space sequence; In response to receiving the query requirement information input by the target user in the power grid device query interface, parsing the query requirement information to generate a query element information set; Filtering out a set of power grid equipment association structure graphs corresponding to the query element information set from at least one stored power grid equipment association structure graph; Generate a summary grid equipment association structure diagram according to the grid equipment association structure diagram set; Displaying a target demand map on the power grid equipment query interface, wherein the target demand map is a map generated according to the aggregated power grid equipment association structure diagram and displays the queried power grid equipment information, wherein the target demand map supports various map operations for the queried power grid equipment information; In response to receiving the power transportation information, a power transportation operation is performed for a target grid device in the target demand map.

2. The method according to claim 1, wherein: The method further comprises: In response to determining that the storage call resource information meets the preset resource condition, determining that the structure diagram storage mode corresponding to the at least one power grid device association structure diagram is a second storage mode and a second number of levels; Filter out the next future time under the current time from the future scheduled time period as the target future time; For the target future time, the following second generation step is performed: For each of the at least one power grid device association structure diagram, the following third generating step is performed: Determine a historical structure diagram call number sequence corresponding to the power grid device association structure diagram as a second historical structure diagram call number sequence; Preprocessing each second history structure graph call count in the second history structure graph call count sequence to generate a second preprocessed count sequence; In response to determining that the structure diagram storage mode is the second storage mode, determining the future call number corresponding to the power grid device associated structure diagram at the target future time according to the second preprocessed number sequence as the second future call number; In response to determining that the future time is not the time of the target position in the future predetermined time period, the respective power grid device association structure diagrams in the at least one power grid device association structure diagram are graded according to the obtained at least one second future call number, to obtain second storage configuration information characterizing the association relationship between the second power grid device association structure diagram set sequence and the structure diagram level set, wherein the structure diagram levels corresponding to the respective second power grid device association structure diagram sets are different, and the number of the second power grid device association structure diagram sets corresponding to the second power grid device association structure diagram set sequence is the same as the second grade number; According to the second storage configuration information, each second power grid device association structure atlas and the corresponding query element in the second power grid device association structure atlas sequence are stored in the corresponding storage space by using a key-value pair method to obtain a storage space sequence.

3. The method according to claim 1, wherein: The step of selecting a set of power grid equipment association structure graphs corresponding to the query element information set from at least one stored power grid equipment association structure graph comprises: By sequentially querying each storage space in the storage space sequence, the power grid equipment association structure diagram corresponding to each query element information in the query element information set is determined to obtain a power grid equipment association structure diagram set.

4. The method according to claim 1, wherein: The nodes in the power grid device association structure diagram in the power grid device association structure diagram set include: power grid device identification and query element information corresponding to the power grid device association structure diagram; and The step of generating a summary grid equipment association structure diagram according to the grid equipment association structure diagram set includes: For each power grid device association structure diagram in the power grid device association structure diagram set, determining a power grid device identification group corresponding to the power grid device association structure diagram; For each power grid device identifier in the obtained power grid device identifier group set, the following determination steps are performed: Determine a power grid device identification group corresponding to the power grid device identification as a target power grid device identification group; Determine remaining power grid device identification group subsets for the target power grid device identification group; For each grid device identification group in the remaining grid device identification group subsets, determining whether there is an identification identical to the grid device identification in the grid device identification group to obtain a determination result; In response to each determination result in the obtained determination result subset indicating that an identifier identical to the grid device identifier exists, determining the grid device identifier as a target grid device identifier; Determine the query element information set group corresponding to the obtained target power grid device identification group; The summarized power grid equipment association structure diagram is generated according to the query element information set group.

5. The method according to claim 1, wherein: The query element information set includes: device type element information, location range element information, and device specification element information; and The step of selecting a set of power grid equipment association structure graphs corresponding to the query element information set from at least one stored power grid equipment association structure graph comprises: According to the location range element information, perform structure diagram clipping on each power grid device association structure diagram in the at least one power grid device association structure diagram to generate a clipped structure diagram, and obtain at least one clipped structure diagram, wherein the location range information corresponding to the clipped structure diagram is the same as the location range element information; Filtering out a tailored structure diagram corresponding to the device type element information from the at least one tailored structure diagram as a device type structure diagram; Filtering out a tailored structure diagram corresponding to the device specification element information from the at least one tailored structure diagram as a device specification structure diagram; The equipment type structure diagram and the equipment specification structure diagram are determined as the power grid equipment associated structure diagram set.

6. A power grid equipment transportation device, comprising: An acquisition unit is configured to acquire a power grid device data set for a power grid device set in a target area; A first generating unit is configured to generate at least one power grid device association structure diagram for the target area according to the power grid device data set, wherein each power grid device association structure diagram has a corresponding query element; A verification unit, configured to perform a structure diagram verification on each power grid device association structure diagram in the at least one power grid device association structure diagram to generate a verification result; A storage unit is configured to, in response to determining that the verification result indicates that the verification is correct, store the at least one power grid device association structure diagram and the corresponding at least one query element in a predetermined format, wherein the predetermined format is in the form of a key-value pair, the key is the query element, and the value is the power grid device association structure diagram, and store the at least one power grid device association structure diagram and the corresponding at least one query element in a predetermined format, including: determining to store call resource information; in response to determining that the storage call resource information does not meet the preset resource condition, determining that the structure diagram storage method corresponding to the at least one power grid device association structure diagram is a first storage method and a first hierarchical number; for each power grid device association structure diagram in the at least one power grid device association structure diagram, performing the following first generation step: determining a historical structure diagram call count sequence corresponding to the power grid device association structure diagram as a first historical structure diagram call count sequence; preprocessing each first historical structure diagram call count sequence in the first historical structure diagram call count sequence to generate a first preprocessed count sequence; in response to determining the The structure diagram storage method is the first storage method, and according to the first pre-processed number sequence, a first future call number sequence corresponding to the power grid device association structure diagram within a future predetermined time period is determined; the total call number and the average call number corresponding to the first future call number sequence are determined; according to the obtained total call number set, the average call number set and the first classification number, each power grid device association structure diagram in the at least one power grid device association structure diagram is classified to obtain the first storage configuration information characterizing the association relationship between the first power grid device association structure diagram set sequence and the structure diagram level set, wherein the structure diagram levels corresponding to each first power grid device association structure diagram set are different, and the number of first power grid device association structure diagram sets corresponding to the first power grid device association structure diagram set sequence is the same as the first classification number; according to the first storage configuration information, each first power grid device association structure diagram set and the query element subset in the first power grid device association structure diagram set sequence are stored in the corresponding storage space by using a key-value pair method to obtain a storage space sequence; An information parsing unit is configured to, in response to receiving query demand information input by a target user on a power grid device query interface, parse the query demand information to generate a query element information set; A screening unit, configured to screen out a set of power grid equipment association structure diagrams corresponding to the query element information set from at least one stored power grid equipment association structure diagram; A second generating unit is configured to generate a summary power grid device association structure diagram according to the power grid device association structure diagram set; A display unit is configured to display a target demand map on the power grid device query interface, wherein the target demand map is a map generated according to the aggregated power grid device association structure diagram and displays the queried power grid device information, wherein the target demand map supports various map operations for the queried power grid device information; The execution unit is configured to execute a power transportation operation for a target grid device in the target demand map in response to receiving the power transportation information.

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.

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