Resource management method and platform for surveying underground power channels

Abstract

The present invention discloses a resource management method and platform for surveying underground power channels, and relates to the technical field of power channel management. The method includes: analyzing predetermined layout constraints through a layout typesetting unit, and constructing an initial structure model; obtaining target multi-dimensional information through the input module; visually adjusting the initial structure model through a node positioning unit to obtain a target structure model; performing slice processing and analysis through an attribute editing unit to obtain arbitrary slice information; rendering the arbitrary slice information identifier to obtain a target resource visualization model; and performing visual resource management on the target underground power channel. The present invention solves the technical problems of low survey efficiency and accuracy, and inconsistent drawing quality in the prior art, and achieves the technical effect of realizing efficient survey and visual management of underground power channel resources, improving survey efficiency and accuracy, and ensuring consistency in drawing quality.

Description

Technical Field

[0001] The present invention relates to the technical field of power channel management, and in particular to a resource management method and platform for surveying underground power channels. Background Art

[0002] In the field of underground power channel resource survey, relevant data is crucial for power cable construction, operation and maintenance, and urban underground power channel resource planning and design. At present, the commonly used power channel survey map drawing method mainly relies on manual operation. During the survey or acceptance, it is usually hand-drawn by hand, and then further processed using CAD or Word drawing software. There are many problems with this method, such as the data is mainly paper-based, the electronic version of the data is often incomplete, and the drawing standards are not unified. Since the manual hand-drawing process involves complex steps such as manual drawing of graphics, positioning elements, and typesetting layout, the workload is huge, and there is a certain lag, which cannot meet the project needs in time. These problems have seriously affected the efficiency and accuracy of underground power channel resource surveys, and also restricted the smooth development of related projects.

[0003] Existing technologies have technical problems such as low survey efficiency and accuracy, and inconsistent mapping quality. Summary of the invention

[0004] The present application provides a resource management method and platform for surveying underground power channels, which is used to solve the technical problems of low survey efficiency and accuracy, and inconsistent mapping quality in the prior art.

[0005] In view of the above problems, the present application provides a resource management method and platform for surveying underground power channels.

[0006] In a first aspect of the present application, a resource management method for surveying underground power channels is provided, the method comprising:

[0007] The predetermined layout constraints are analyzed by the layout typesetting unit in the drawing module, and an initial structure model is constructed, wherein the predetermined layout constraints are stored in the drawing module; the target multi-dimensional information is obtained by the input module, and the target multi-dimensional information refers to the actual parameter information of the target underground power channel collected based on the predetermined characteristic indicators; the node positioning unit in the drawing module visually adjusts the initial structure model based on the target multi-dimensional information to obtain the target structure model; the target construction information in the data module is sliced ​​and analyzed by the attribute editing unit in the drawing module to obtain any slice information of any construction slice; the arbitrary slice information identifier is rendered to the target structure model to obtain a target resource visualization model; the target underground power channel is visualized through the target resource visualization model; wherein, the target construction information in the data module is sliced ​​and analyzed by the attribute editing unit in the drawing module to obtain any slice information of any construction slice, including: reading a predetermined unit time, the predetermined unit time It refers to the average value of the survey duration of each construction node during historical survey and construction; the target construction information is sliced ​​with the predetermined unit duration as the slice constraint to obtain a target slice result, and the target slice result includes multiple construction slices; the arbitrary construction slice is obtained based on the multiple construction slices; the arbitrary construction slice includes multiple construction images, and the arbitrary slice information is edited and rendered to the target structure model to obtain a target resource visualization model, including: extracting the first image from the multiple construction images, and using the first image as a registration constraint; extracting the second image from the multiple construction images, and using the second image as an image to be registered; registering and fusing the images to be registered according to the registration constraint to obtain an arbitrary target image of the arbitrary construction slice; collecting image color and image texture features of the arbitrary target image in turn, and obtaining arbitrary target color features and arbitrary target texture features respectively; the arbitrary target color features and the arbitrary target texture features constitute the arbitrary slice information, and the arbitrary slice information is identified to the target structure model to obtain the target resource visualization model.

[0008] Preferably, before analyzing the predetermined layout constraints through the layout typesetting unit in the drawing module and constructing the initial structural model, it also includes: collecting the ground layout conditions of the target underground power channel to obtain the target ground layout; extracting the first ground power unit and the second ground power unit in the target ground layout, wherein the first ground power unit corresponds to the first ground coordinate, and the second ground power unit corresponds to the second ground coordinate; combining the power demand of the first ground power unit and the second ground power unit to obtain the layout attribute constraint of the corresponding underground power channel; combining the first ground coordinate and the second ground coordinate to obtain the layout direction constraint of the corresponding underground power channel; and forming the predetermined layout constraint according to a first layout mapping relationship between the layout attribute constraint and the layout direction constraint.

[0009] Preferably, the predetermined characteristic indicators include predetermined working well characteristic indicators and predetermined channel characteristic indicators. The predetermined working well characteristic indicators include working well type, working well size, manhole cover material and manhole cover quantity. The predetermined channel characteristic indicators include channel length, channel material and channel diameter.

[0010] Preferably, before slicing and analyzing the target construction information in the data module, it also includes: acquiring the target engineering information of the target underground power channel; obtaining a target data list according to the target correspondence between the target underground power channel and the target engineering information and the target construction information; and storing the target data list in the data module.

[0011] Preferably, the arbitrary target image is locally binary-converted to obtain an arbitrary target binary code; the arbitrary target binary code is traversed and matched in a binary code database to obtain a best-matching image; the best-matching image replaces the arbitrary target image and is rendered to the target structure model.

[0012] A second aspect of the present application provides a resource management platform for surveying underground power channels, the platform comprising:

[0013] An initial structure model building module, the initial structure model building module is used to analyze the predetermined layout constraints through the layout typesetting unit in the drawing module and build an initial structure model, wherein the predetermined layout constraints are stored in the drawing module; a target multi-dimensional information acquisition module, the target multi-dimensional information acquisition module is used to acquire target multi-dimensional information through the input module, the target multi-dimensional information refers to the actual parameter information of the target underground power channel collected based on the predetermined characteristic indicators; a target structure model acquisition module, the target structure model acquisition module is used to obtain the target structure model by visually adjusting the initial structure model based on the target multi-dimensional information through the node positioning unit in the drawing module; any cut a slice information acquisition module, wherein the arbitrary slice information acquisition module is used to slice and analyze the target construction information in the data module through the attribute editing unit in the drawing module to obtain arbitrary slice information of any construction slice; a visualization model acquisition module, wherein the visualization model acquisition module is used to render the arbitrary slice information identifier to the target structure model to obtain a target resource visualization model; a visualization resource management module, wherein the visualization resource management module is used to perform visualization resource management on the target underground power channel through the target resource visualization model; wherein, the target construction information in the data module is sliced ​​and analyzed through the attribute editing unit in the drawing module to obtain arbitrary construction information of any construction slice. The arbitrary slice information of the slice includes: a predetermined unit time reading module, the predetermined unit time is used to read the predetermined unit time, and the predetermined unit time refers to the average value of the survey time of each construction node during the historical survey and construction; a target slice result acquisition module, the target slice result acquisition module is used to slice the target construction information with the predetermined unit time as the slice constraint to obtain the target slice result, and the target slice result includes multiple construction slices; an arbitrary construction slice acquisition module, the arbitrary construction slice acquisition module obtains the arbitrary construction slice based on the multiple construction slices; the arbitrary construction slice includes multiple construction images, and the arbitrary slice information is edited and rendered to the target structure model to obtain the target resource. The visualization model includes: a first image extraction module, the first image extraction module is used to extract the first image from the multiple construction images, and use the first image as a registration constraint; a second image extraction module, the second image extraction module is used to extract the second image from the multiple construction images, and use the second image as an image to be registered; a registration fusion module, the registration fusion module is used to perform registration fusion on the images to be registered according to the registration constraints to obtain an arbitrary target image of the arbitrary construction slice; an image texture feature acquisition module, the image texture feature acquisition module is used to perform image color and image texture feature acquisition on the arbitrary target image in sequence, and obtain arbitrary target color features and arbitrary target texture features respectively;A target resource visualization model acquisition module, wherein the target resource visualization model acquisition module is used to form the arbitrary slice information from the arbitrary target color features and the arbitrary target texture features, and to identify the arbitrary slice information to the target structure model to obtain the target resource visualization model. ;

[0014] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0015] The predetermined layout constraints are analyzed through the layout typesetting unit in the drawing module, and an initial structure model is constructed; the target multi-dimensional information is obtained through the input module; the target structure model is obtained by visually adjusting the initial structure model based on the target multi-dimensional information through the node positioning unit in the drawing module; the target construction information in the data module is sliced ​​and analyzed through the attribute editing unit in the drawing module to obtain any slice information of any construction slice; the arbitrary slice information identifier is rendered to the target structure model to obtain a target resource visualization model; the target underground power channel is visualized through the target resource visualization model. The technical effect of realizing efficient survey and visualization management of underground power channel resources, improving survey efficiency and accuracy, and ensuring consistency of drawing quality is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A schematic diagram of a resource management method for surveying underground power channels provided in an embodiment of the present application;

[0018] Figure 2 A schematic diagram of the structure of a resource management platform for surveying underground power channels provided in an embodiment of the present application.

[0019] Explanation of the reference numerals: initial structure model building module 10 , target multi-dimensional information acquisition module 20 , target structure model acquisition module 30 , arbitrary slice information acquisition module 40 , visualization model acquisition module 50 , visualization resource management module 60 . DETAILED DESCRIPTION

[0020] The present application provides a resource management method and platform for surveying underground power channels, aiming to solve the technical problems of low survey efficiency and accuracy, and inconsistent drawing quality in the prior art.

[0021] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] Embodiment 1, as Figure 1 As shown, the present application provides a resource management method for surveying underground power channels, the method comprising:

[0023] Step S100: analyzing the predetermined layout constraints by the layout typesetting unit in the drawing module and constructing an initial structural model, wherein the predetermined layout constraints are stored in the drawing module.

[0024] Specifically, it starts with the analysis of the predetermined layout constraints by the layout typesetting unit in the drawing module. These predetermined layout constraints contain information from multiple aspects, such as road type (it may be different types of roads such as urban main roads, secondary roads, and branch roads, with different traffic flows, carrying capacities, and underground space planning), fork types (including three-way intersections, four-way intersections, and turning intersections at different angles, which will affect the direction and layout of underground power channels), sidewalk and green belt types (different sidewalk and green belt designs will restrict and affect the laying of underground power channels, such as width, avoidance of underground facilities, etc.), road length (directly related to the laying range and required resources of underground power channels), preset number of work wells (the preset number of work wells will affect the convenience of maintenance and overhaul of power channels, as well as construction costs), and preset number of channel holes (determines the capacity and distribution of power transmission). These detailed layout constraint information are stored in the drawing module, providing basic data and rule basis for building the initial structural model. Based on the analysis of the above-mentioned predetermined layout constraints, the layout typesetting unit begins to construct an initial structural model. This initial structural model is a preliminary abstraction and construction of the underground power channel and its surrounding environment in plane and space, and graphically presents information such as the general direction of the road, the possible location of the work well, and the preliminary distribution of the channel holes. For example, the basic direction of the power channel is determined according to the type and length of the road, and the connection method of the channel at the intersection is reasonably planned in combination with the type of fork. The corresponding underground space is reserved considering the type of sidewalks and green belts. The setting points of the work wells are preliminarily marked according to the preset number and location of the work wells, and the aperture and distribution density of the channel are roughly planned according to the preset number of channel holes. Through such a construction process, an initial structural model that can reflect the preliminary structure and layout of the underground power channel is obtained, which provides a basic framework for subsequent further adjustments and improvements.

[0025] Step S200: acquiring target multi-dimensional information through the input module, wherein the target multi-dimensional information refers to actual parameter information of the target underground power channel collected based on predetermined characteristic indicators.

[0026] Specifically, the target multi-dimensional information is obtained through the input module. These target multi-dimensional information is the actual parameter information of the target underground power channel collected based on the predetermined characteristic indicators. The predetermined characteristic indicators cover multiple key aspects, including indicators related to the work well, such as the work well type (for example, different shape designs such as round and square, which have differences in structural strength, space utilization, etc.), size (including diameter, depth, wellhead area and other dimensional parameters, these parameters determine the capacity and construction difficulty of the work well), the number of manhole cover materials (the manhole cover has a variety of materials, such as cast iron, composite materials, etc., different materials have different strengths, durability and costs, and the number of manhole covers will also affect the integrity and safety of the work well), and indicators related to the power channel, such as length (directly reflects the laying range of the power channel and the amount of materials required), pipeline scale (including pipeline diameter, wall thickness and other parameters, these parameters determine the transmission capacity and pressure resistance of the power channel). By collecting data for these predetermined characteristic indicators, the actual parameter information of the target underground power channel can be obtained comprehensively and accurately. For example, professional measuring tools and technical means are used to measure the actual size of the working well, determine the material and quantity of the manhole cover, and use survey instruments to obtain parameters such as the length of the power channel and the scale of the pipeline. These actual parameter information will serve as an important basis for subsequent operations and be used to further optimize and improve the model construction and resource management of underground power channels.

[0027] Step S300: The node positioning unit in the drawing module visually adjusts the initial structural model based on the target multi-dimensional information to obtain a target structural model.

[0028] Specifically, the initial structural model is visually adjusted through the node positioning unit in the drawing module. The node positioning unit has the key element of the scale of the model, which can establish the corresponding relationship between the actual length and the model length. For example, the length of the corresponding part in the model can be calculated by the known actual length and the scale, thereby providing an accurate basis for model positioning. Based on the obtained target multi-dimensional information, the initial structural model is specifically adjusted. The target multi-dimensional information contains various actual parameters of the underground power channel, such as the relevant parameters of the work well and the parameters of the power channel itself. These actual parameter information will affect the position and attributes of each node in the model. For example, if the actual measured work well position deviates from the position in the initial structural model, then the work well node in the model is moved and adjusted through the node positioning unit according to the accurate position data in the target multi-dimensional information. Similarly, if the length or direction of the power channel is inconsistent with the initial model in the actual survey, the corresponding nodes and connecting parts will also be adjusted according to the target multi-dimensional information. After the above-mentioned visual adjustment process based on the target multi-dimensional information, the initial structural model is gradually optimized, and finally the target structural model is obtained. This target structural model more accurately reflects the actual structure and layout of the underground power channel. Not only is it more accurate in terms of node location, but the connection relationship between nodes and the overall scale are also consistent with the actual situation, providing a more reliable foundation for subsequent construction information processing and resource management.

[0029] Step S400: Slice the target construction information in the data module through the attribute editing unit in the drawing module to obtain any slice information of any construction slice.

[0030] Specifically, the target construction information (actual image data) stored in the data module is operated through the attribute editing unit of the drawing module. According to some set rules or parameters, the slice processing is prepared. For example, a predetermined unit duration will be read. This duration is the average of the survey duration of each construction node during the historical survey and construction. It will serve as a key constraint condition for slicing. Then, based on this predetermined unit duration, the actual image data is sliced ​​and divided into parts corresponding to multiple time periods. Each part is a construction slice, thereby obtaining a target slice result containing multiple construction slices. Then, any construction slice (actual picture) is selected from these construction slices, and the relevant information is further analyzed and extracted for this actual picture, such as key elements, features, and possible related annotation information in the picture. The extracted information is any slice information.

[0031] Step S500: Rendering the arbitrary slice information identifier to the target structure model to obtain a target resource visualization model.

[0032] Specifically, the previously acquired arbitrary slice information identification is rendered to the target structure model to obtain a target resource visualization model. For the case where any construction slice contains multiple construction images, one of the images will be extracted as the registration constraint, and then the other image will be extracted as the image to be registered. The registration and fusion operation is performed on the image to be registered according to the registration constraint to obtain an arbitrary target image. Then, the image color and image texture features of this arbitrary target image are collected in turn to obtain arbitrary target color features and arbitrary target texture features respectively. These color features and texture features together with other relevant information extracted previously constitute arbitrary slice information. Finally, these arbitrary slice information are accurately identified and rendered to the target structure model, so that the target structure model can integrate the construction information, thereby forming a target resource visualization model that can intuitively display the information related to the underground power channel.

[0033] Step S600: Performing visual resource management on the target underground power channel through the target resource visualization model.

[0034] Specifically, the constructed target resource visualization model is used to carry out visual resource management of the target underground power channel. Through this visualization model, various information of the underground power channel can be clearly and intuitively observed, including its structural layout, construction progress, and the distribution of related resources. According to the content presented by the model, the resources of the underground power channel can be reasonably planned and deployed. For example, subsequent construction tasks and resource inputs can be arranged according to the construction progress, key maintenance and overhaul areas can be determined according to the structural layout, and resource utilization efficiency can be optimized according to the resource distribution, thereby realizing comprehensive and effective visual resource management of the target underground power channel.

[0035] In a possible implementation, step S100 further includes:

[0036] Step S110: collecting ground layout conditions of the target underground power channel to obtain the target ground layout.

[0037] Step S120: extracting a first ground power unit and a second ground power unit in the target ground layout, wherein the first ground power unit corresponds to a first ground coordinate, and the second ground power unit corresponds to a second ground coordinate.

[0038] Step S130: obtaining layout attribute constraints of the corresponding underground power channel by combining the power consumption demands of the first ground power consumption unit and the second ground power consumption unit.

[0039] Step S140: combining the first ground coordinate and the second ground coordinate to obtain a layout direction constraint of the corresponding underground power channel.

[0040] Step S150: forming the predetermined layout constraint according to the first layout mapping relationship between the layout attribute constraint and the layout direction constraint.

[0041] Specifically, it is necessary to comprehensively collect the ground layout conditions of the target underground power channel. This process involves the observation and analysis of various ground elements. The key is to identify relevant facilities such as residential areas or office buildings. For each identified facility, its volume needs to be considered, including building area, number of residents (for residential areas) or number of office staff (for office buildings). By considering these volume factors, its electricity demand can be further analyzed. For example, a large residential area may have a large population, and its electricity demand is mainly concentrated in residents' daily life and public facilities, and the total electricity consumption is relatively large. A large office building has a large number of office equipment and a large number of office staff, and its electricity demand is mainly reflected in the electricity used for office equipment operation and office area lighting, and its electricity consumption characteristics are different from those of the residential area. While analyzing the electricity demand, according to the actual location of these residential areas or office buildings, some basic requirements of their corresponding underground power channels can be obtained. According to the distance between the facilities, the length of the underground power channel can be preliminarily predicted. If the two facilities are far apart, the underground power channel connecting them needs a longer length to achieve power transmission. According to the type of facility and the characteristics of electricity demand, the type of underground power channel is inferred. For example, for facilities with large electricity demand and high requirements for power stability, higher-level power channel types are required, such as channels with better insulation performance and greater transmission capacity. In addition, the general direction of the underground power channel, that is, the channel direction, can also be determined through the positional relationship between the facilities. By collecting and analyzing the ground layout conditions, taking into account the volume, electricity demand, and actual location of the community or office building, the basic demand conditions of the target ground layout and its corresponding underground power channel are obtained, thereby providing important basic data and preliminary underground channel situation predictions for subsequent steps.

[0042] Two important parts are extracted from the collected target ground layout information, namely the first ground power unit and the second ground power unit. This extraction process requires careful analysis of each element in the ground layout, such as various buildings and facilities, to determine which ones meet the characteristics of the power unit. After the first ground power unit is determined, its corresponding first ground coordinates must also be clarified, which accurately locates the position of this power unit on the ground; similarly, for the second ground power unit, its corresponding second ground coordinates must also be determined. These two coordinates will provide key location basis for the subsequent determination of the layout direction and related attributes of the underground power channel.

[0043] The electricity demand of the first ground power user and the second ground power user is analyzed. The electricity demand includes power power, time distribution of power consumption, and power stability requirements. Different types of power users, such as residential areas and industrial plants, have obvious differences in their electricity demand. For example, the electricity demand of residential areas is relatively stable, mainly concentrated in the daily life of residents, but the power consumption may be large during certain peak hours (such as the peak of power consumption at night); while industrial plants may require continuous and stable high-power electricity. Then, the layout attribute constraints of the underground power channel are determined based on these power demands. For example, if the power demand is large and the power stability requirements are high, it is necessary to select the material and specifications of the power channel that can carry a large current, which will constrain the type of channel; at the same time, in order to meet the needs of power transmission, it is necessary to reasonably plan the length of the channel to ensure that the electric energy can be effectively transmitted to the power user, which involves the constraint of the road length. In addition, considering the ground layout, such as road type, fork type, sidewalk and green belt type, etc., will also affect the layout of the underground power channel. Different road types (such as main roads and secondary roads) have different requirements for the laying depth and protection of underground passages; the type of fork will affect the direction and connection method of the passage; the type of sidewalks and green belts may limit the laying location of the passage to avoid damage to ground facilities. Finally, the number of preset work wells and the number of preset channel holes will also be determined based on the power demand and the ground layout. The number of work wells will affect the convenience of maintenance and repair of the power channel, as well as the construction cost; the number of channel holes is related to the capacity and distribution of power transmission. Taking these factors into consideration, the layout attribute constraints of the corresponding underground power channel are finally determined, including road type, fork type, sidewalk and green belt type, road length, number of preset work wells, number of preset channel holes, etc.

[0044] The layout direction constraint of the corresponding underground power channel should be determined by combining the first ground coordinate and the second ground coordinate. The first ground coordinate and the second ground coordinate represent the positions of the first ground power unit and the second ground power unit on the ground respectively. By analyzing the relative position relationship between the two coordinates, the general direction of the underground power channel can be determined. For example, if the first ground coordinate is (x 1 ,y 1 ), the second ground coordinate is (x 2 ,y 2 ), when x 2 -x 1 >0 and y 2 -y 1=0, it means that the second ground power unit is horizontally on the right side of the first ground power unit, so the layout direction of the underground power channel is horizontal from left to right. At the same time, it is necessary to consider obstacles such as buildings and roads on the ground, and the direction of the channel needs to be fine-tuned to avoid these obstacles. For example, if x2-x1>0 and y2-y1>0, it means that the second ground power unit is on the upper right of the first ground power unit, and the underground power channel needs to be laid from the first ground power unit to the upper right direction, but it also needs to be combined with the actual situation on the ground. If you encounter a road fork, you may need to adjust the direction of the channel at the fork according to the type of fork to ensure that the channel can reasonably connect the two power units and meet the planning and requirements of the ground facilities. In short, by analyzing the first ground coordinates and the second ground coordinates, the various actual situations on the ground are comprehensively considered to determine the layout direction constraints of the corresponding underground power channel.

[0045] The predetermined layout constraints are formed according to the first layout mapping relationship between the layout attribute constraints and the layout direction constraints. The layout attribute constraints include information such as road type, fork type, sidewalk and green belt type, road length, preset number of work wells, preset number of channel holes, etc. These attributes are determined based on the power demand of the first ground power user unit and the second ground power user unit and the ground layout situation. The layout direction constraint is the direction information of the underground power channel obtained by analyzing the first ground coordinate and the second ground coordinate, and combining the actual situation on the ground (such as buildings, roads and other obstacles). The first layout mapping relationship is a rule or logical relationship that organically combines the layout attribute constraints and the layout direction constraints. For example, when the layout direction constraint determines that the power channel needs to be laid along a certain main road (direction constraint), and considering that the power demand is large, a channel of a specific specification needs to be adopted (attribute constraint), then under the first layout mapping relationship, the predetermined layout constraint will clarify the channel specifications and related layout details that should be adopted under the main road, such as the number and location of work wells, the setting of the number of channel holes, etc. Through this first layout mapping relationship, the layout attribute constraints and layout direction constraints are integrated to form a predetermined layout constraint, which provides an accurate basis for the subsequent construction of the initial structural model and ensures that the model can accurately reflect the reasonable layout of the underground power channel.

[0046] In a possible implementation, step S200 further includes:

[0047] Step S210: The predetermined characteristic indicators include predetermined working well characteristic indicators and predetermined channel characteristic indicators. The predetermined working well characteristic indicators include working well type, working well size, manhole cover material and manhole cover quantity. The predetermined channel characteristic indicators include channel length, channel material and channel diameter.

[0048] Specifically, the composition of the predetermined characteristic indicators is clarified, which includes the predetermined manhole characteristic indicators and the predetermined channel characteristic indicators. The predetermined manhole characteristic indicators cover several key aspects. The manhole type refers to the shape design of the manhole, such as round, square and other different shapes, which have differences in structural strength, space utilization and other aspects. The manhole size includes parameters such as diameter, depth, and wellhead area. These size parameters determine the capacity and construction difficulty of the manhole. There are many kinds of manhole covers, such as cast iron, composite materials, etc. Different materials have different strengths, durability and costs, and the number of manhole covers will also affect the integrity and safety of the manhole. The predetermined channel characteristic indicators also describe the characteristics of underground power channels. The channel length directly reflects the laying range and the amount of materials required for the power channel. The channel material determines the physical properties and applicable environment of the channel. For example, metal materials may have good conductivity and strength, but are prone to corrosion in certain environments; plastic materials have good corrosion resistance, but may have poor conductivity. The channel caliber is related to the capacity and distribution of power transmission. A larger caliber may allow a larger current to pass through and meet higher power demand. These predetermined characteristic indicators provide a basis for accurately obtaining the actual parameter information of the target underground power channel. By collecting information related to these indicators, we can fully understand the actual situation of the underground power channel, providing important data support for subsequent model adjustment and improvement.

[0049] In a possible implementation, step S400 further includes:

[0050] Step S410: Acquire target engineering information of the target underground power channel.

[0051] Step S420: Obtain a target data list according to the target correspondence between the target underground power channel and the target engineering information and the target construction information.

[0052] Step S430: storing the target data list in the data module.

[0053] Specifically, obtaining the target project information of the target underground power channel is a key step. This process requires the collection of information from many aspects, including the survey mode, which clarifies the specific method used to survey the underground power channel, such as a comprehensive survey or a special survey for specific problems; the nature of the project, such as new construction, renovation or maintenance projects, which determines the goals and priorities of the project; the name of the project, which is a specific identification of the underground power channel project; the construction unit, which is the entity responsible for the construction of the project; the construction unit, which is the organization that undertakes the actual construction task; the administrative region to which the project belongs, which clarifies the geographical area where the project is located; the project location, which is accurate to the specific location coordinates or a general description of the geographical location; the survey personnel, which records the information of the personnel involved in the survey; and the survey time, which determines the specific time period for the survey work. By fully acquiring these target project information, basic data is provided for subsequent operations and analysis.

[0054] The target data list is constructed based on the specific target correspondence between the target underground power channel and the target engineering information and target construction information. The target engineering information includes multiple aspects such as survey mode, engineering nature, engineering name, construction unit, construction unit, administrative region to which the project belongs, engineering location, survey personnel, survey time, etc. This information describes the basic attributes and relevant background of the underground power channel project from different angles. The target construction information involves various detailed data in the actual construction process, including construction progress, construction technology, materials and equipment used, etc. As the core object, the target underground power channel has a close logical relationship with the target engineering information and target construction information. For example, the nature of the project (target engineering information) determines the selection direction of construction technology and materials (target construction information), and the location of the project (target engineering information) may affect some special treatment methods in the construction process (target construction information). By deeply digging and sorting out these correspondences, the relevant key information is integrated. For example, when the nature of the project is a new construction project, the application of new materials and new processes in the target construction information will be extracted; if the project location is in a special geological area, the construction measures for the geological conditions in the target construction information will be taken into consideration. Finally, these corresponding information are organized together in an orderly manner to form a target data list that can comprehensively and accurately reflect the detailed conditions of each link of the target underground power channel from planning to construction.

[0055] The target data list that has been obtained is stored in the data module to ensure that the data module is in a normal state to receive and store data. Then, the data in the target data list is sorted according to the predetermined storage format and rules to ensure the integrity and accuracy of the data. During the storage process, the data module will process the received data accordingly, such as assigning a specific storage location and index to the data so that it can be quickly and accurately queried and called later. By storing the target data list in the data module, a reliable foundation is provided for the management and use of underground power channel related data, which facilitates the efficient acquisition and use of these data when needed later.

[0056] In a possible implementation, step S400 further includes:

[0057] Step S440: Reading a predetermined unit time, where the predetermined unit time refers to an average value of the survey time of each construction node during historical survey and construction.

[0058] Step S450: Slicing the target construction information with the predetermined unit time as a slicing constraint to obtain a target slicing result, wherein the target slicing result includes a plurality of construction slices.

[0059] Step S460: Acquire the arbitrary construction slice based on the multiple construction slices.

[0060] Specifically, the predetermined unit duration is for underground power channels. It is determined based on the survey duration of each construction node during historical survey and construction. In the past survey and construction of underground power channels, each construction node has its own specific survey duration. These durations are affected by many factors, such as the complexity of the construction node, the difficulty of the construction environment, and the survey technology and methods used. By statistically analyzing the survey duration of all construction nodes and calculating their average value, the predetermined unit duration referred to here is obtained. This predetermined unit duration will serve as an important reference standard in subsequent operations, and will be used for slicing and other related operations of the target construction information.

[0061] The target construction information is sliced ​​using the scheduled unit duration as a slicing constraint. The target construction information covers all aspects of the underground power channel construction process, including details such as construction progress, construction technology, and construction personnel operations. The scheduled unit duration is the average of the survey duration of each construction node during the historical survey and construction, which provides a unified time standard for slicing. Based on this scheduled unit duration, slicing is performed at fixed time intervals starting from the start time of the construction information. For example, if the scheduled unit duration is 10 minutes, then every 10 minutes, the construction information in the current time period is intercepted as a construction slice. In this way, the entire target construction information is continuously sliced ​​and processed, and the target slicing result is finally obtained. This result contains multiple construction slices, each of which corresponds to a specific time period in the construction process and can reflect the relevant construction conditions in that time period.

[0062] Since the target construction information has been sliced ​​according to the predetermined unit time in the previous steps, multiple construction slices have been obtained. These construction slices correspond to different time periods in the construction process and contain various information about the construction in the corresponding time period, such as construction progress, construction technology, construction personnel operations, etc. When it is necessary to obtain any construction slice, select one of these multiple construction slices according to the specific research purpose or analysis needs. For example, if you want to know the details of a specific moment in the construction process, you can find the slice corresponding to the time period of that moment in multiple construction slices and use it as an arbitrary construction slice. This arbitrary construction slice will serve as the basis for further analysis and research of the local situation in the construction process.

[0063] In a possible implementation, step S500 further includes:

[0064] Step S510: extracting a first image from the plurality of construction images, and using the first image as a registration constraint.

[0065] Step S520: extracting a second image from the plurality of construction images, and using the second image as the image to be registered.

[0066] Step S530: performing registration and fusion on the images to be registered according to the registration constraints to obtain any target image of the arbitrary construction slice.

[0067] Step S540: collecting image color and image texture features of the arbitrary target image in sequence, and obtaining arbitrary target color features and arbitrary target texture features respectively.

[0068] Step S550: The arbitrary target color feature and the arbitrary target texture feature constitute the arbitrary slice information, and the arbitrary slice information is identified to the target structure model to obtain the target resource visualization model.

[0069] Specifically, the first image is extracted from multiple construction images and set as the registration constraint. These construction images are records of the construction process of the underground power channel, and they contain information about each stage and angle of the construction. When extracting the first image, it will be selected according to specific rules or requirements. For example, select the image with the earliest shooting time, or the image corresponding to a key construction node, or the image taken from a specific angle that best reflects the overall layout of the construction. Once the first image is selected, it becomes the benchmark for subsequent registration operations, and other images will be adjusted in position and angle based on it to ensure the accuracy and consistency of the registration.

[0070] A second image is extracted from multiple construction images and used as the image to be registered. These construction images are records of the construction status of underground power channels, and each image has its own unique perspective and information. When extracting the second image, its selection may be based on different considerations, such as an image that is immediately after the first image in time sequence, or an image that is complementary to the perspective of the first image and can provide more construction details. After selection, the second image becomes an object that needs to be registered and fused based on the registration constraint (i.e., the first image in step S510). By adjusting its position and angle, etc., it is spatially matched with the first image, thereby accurately reflecting the relevant information in the construction process.

[0071] For the registration constraint image (first image) and the image to be registered (second image), a method based on key point and local feature description is used. In the first image, points with unique features are first identified as key points. These key points can be points in the image where the gray value changes significantly, or positions such as the edge and corner of the object. For each key point, the features of the local area around it are further described. A feature description vector is constructed by analyzing the gray value distribution pattern of the pixels around the key point. This vector can reflect the texture, shape and other information of the area around the key point. Similarly, the same operation is performed on the image to be registered (second image), and its key points are found and the corresponding feature description vector is constructed. Next, a matching relationship is found between the feature description vectors of the first image and the second image. For each feature description vector in the second image, the most similar vector is found in all feature description vectors of the first image. The similarity here can be determined by comparing a certain distance metric between the vectors. For example, a simple distance metric method is used, such as calculating the sum of the absolute values ​​of the differences between the corresponding elements of the vector. In order to improve the accuracy of the matching, a threshold is set. When the distance between a feature description vector in the second image and a vector in the first image is less than the threshold, it is preliminarily considered that the two vectors may match. Then these possible matching point pairs are further screened. The distance relationship between each possible matching point pair and other potential matching point pairs is compared. If the distance of a matching point pair is significantly smaller than the distance of other matching point pairs, it is more certain that this matching point pair is valid. After a sufficient number of valid matching point pairs are determined, the transformation model from the second image to the first image is calculated based on these matching point pairs, using a method based on geometric transformation. First, observe the positional relationship between the matching point pairs in the first image and the second image. If the relative position changes of most matching point pairs in the two images have certain regularities, such as showing a trend of translation, rotation or scaling, a rough transformation model is constructed based on these regularities. For example, if the matching point pairs have obvious displacement in the horizontal direction, a horizontal translation amount can be determined; if the matching point pairs have changes in angle, a rotation angle is determined; if the matching point pairs have proportional changes in distance, a scaling factor is determined. By comprehensively considering these factors such as translation, rotation and scaling, a transformation model is constructed. This model can describe how the second image matches the first image through operations such as translation, rotation and scaling. According to the calculated transformation model, the second image is transformed. For each pixel in the second image, its position after transformation is calculated according to the parameters such as translation amount, rotation angle and scaling factor in the transformation model. If it is a translation transformation, the coordinates of the pixel point are directly moved according to the translation amount; if it is a rotation transformation, the coordinates of the pixel point after rotation are calculated according to the rotation angle formula; if it is a scaling transformation, the coordinates of the pixel point are adjusted according to the scaling factor.Then, the corresponding pixel value is obtained from the second image according to the transformed coordinates, and assigned to the corresponding position in the target image (i.e., any target image of any construction slice). Since the transformed coordinates calculated during the image transformation may not be integers, while the pixel coordinates in the image are integers, interpolation processing is required. For non-integer coordinates, an interpolation method such as nearest neighbor interpolation is used. That is, the pixel value corresponding to the integer coordinate closest to the non-integer coordinate is found and used as the pixel value at the non-integer coordinate. The interpolated pixel value is assigned to the corresponding position in the target image to complete the image registration and fusion operation, and obtain any target image of any construction slice.

[0072] The image color and image texture features are collected for any target image. For the image color feature collection, the color value and distribution law of each pixel in the target image are analyzed. The color features are described by statistically analyzing the distribution range, average value, standard deviation and other parameters of the pixel values ​​of different color channels (such as RGB channels). At the same time, the spatial distribution of colors is also considered, such as the clustering phenomenon of colors, the shape and size of different color areas, etc. For the image texture feature collection, the focus is on the texture structure and change law of the surface of the object in the image, involving the analysis of the direction, frequency, roughness and other aspects of the texture. For example, the frequency characteristics are determined by detecting the periodic changes of the texture in the image, the roughness characteristics are described by analyzing the thickness and tortuosity of the texture lines, and the direction characteristics are determined by observing the direction of the texture. Through these analyses, the color features of any target and the texture features of any target are obtained respectively.

[0073] The arbitrary target color features and arbitrary target texture features are combined to form arbitrary slice information. This arbitrary slice information contains the comprehensive features of the image color and texture of any construction slice. Then, this arbitrary slice information is marked on the target structure model. The marking process is to associate these feature information with the corresponding elements in the target structure model in a specific data structure or marking method. In this way, the target structure model not only contains the structural information of the underground power channel, but also incorporates information such as the image color and texture features of the construction slice, thereby obtaining a target resource visualization model. This target resource visualization model can more intuitively and comprehensively display the actual situation of the underground power channel, and provide richer information support for subsequent analysis, decision-making and management.

[0074] In a possible implementation, step S550 further includes:

[0075] Step S551: Perform local binary conversion on the arbitrary target image to obtain an arbitrary target binary code.

[0076] Step S552: traverse and match the arbitrary target binary code in the binary code database to obtain the best matching image.

[0077] Step S553: ​​replacing the arbitrary target image with the best matching image, and rendering the image to the target structure model.

[0078] Specifically, to perform local binary conversion on any target image, first, it is necessary to determine the division method of the local area, such as dividing the local area according to a fixed-size window or based on certain features of the image. For each local area, analyze the grayscale value or color value of the pixel point and other information. Then, according to the set threshold rule, the pixel value in the local area is converted to binary. If the pixel value meets a certain condition (such as greater than the threshold), it is assigned a value of 1, otherwise it is assigned a value of 0. By performing such processing on all local areas in the image in turn, a sequence of 0 and 1 is finally obtained, that is, an arbitrary target binary code, which can reflect the local feature information of any target image to a certain extent.

[0079] To perform a traversal matching operation on any target binary code in the binary code database, start from the starting position of the database and take out the stored binary codes one by one. For each taken out binary code, compare it with the arbitrary target binary code. The comparison process is to calculate the similarity index between the two binary codes. This similarity index is determined by counting the number of identical values ​​at the same position in the binary code to the total number of bits. After traversing the entire database, find the binary code with the highest similarity to the arbitrary target binary code, and then determine the corresponding image as the best matching image.

[0080] Perform image replacement operation, and place the best matching image found accurately at the position where any target image was originally located, ensuring that it maintains the correct relative relationship with other elements in the target structure model in space, which involves adjusting the size and proportion of the image to make it fit the corresponding area of ​​the target structure model. Next is the rendering process, which is to integrate the replaced image into the target structure model in a suitable way so that it can be presented naturally. In the rendering process, it is necessary to consider the setting of visual attributes such as image color and transparency. For example, if the target structure model has a specific background color or lighting effect, it is necessary to adjust the color and transparency of the best matching image to make it coordinated with the overall environment to avoid abrupt visual effects. At the same time, it is also necessary to ensure that the display effect of the image in the target structure model meets the actual needs, and the resolution and clarity of the image need to be optimized to ensure that the relevant information of the underground power channel can be clearly displayed at different viewing angles and zoom levels. Through such rendering operations, the best matching image can be better integrated into the target structure model, providing more accurate and intuitive visualization support for subsequent analysis and decision-making.

[0081] Embodiment 2, based on the same inventive concept as the resource management method for surveying underground power channels in the aforementioned embodiment, Figure 2 As shown, the present application provides a resource management platform for surveying underground power channels, and the platform and method embodiments in the present application embodiments are based on the same inventive concept. The platform includes:

[0082] The initial structure model building module 10 is used to analyze the predetermined layout constraints through the layout typesetting unit in the drawing module and build an initial structure model, wherein the predetermined layout constraints are stored in the drawing module.

[0083] The target multi-dimensional information acquisition module 20 is used to acquire target multi-dimensional information through the input module. The target multi-dimensional information refers to actual parameter information of the target underground power channel collected based on predetermined characteristic indicators.

[0084] The target structure model acquisition module 30 is used to obtain the target structure model by visually adjusting the initial structure model based on the target multi-dimensional information through the node positioning unit in the drawing module.

[0085] The arbitrary slice information acquisition module 40 is used to perform slice processing and analysis on the target construction information in the data module through the attribute editing unit in the drawing module to obtain arbitrary slice information of any construction slice.

[0086] The visualization model acquisition module 50 is used to render the arbitrary slice information identifier to the target structure model to obtain a target resource visualization model.

[0087] A visual resource management module 60 is used to perform visual resource management on the target underground power channel through the target resource visualization model.

[0088] Furthermore, the initial structure model building module 10 also includes:

[0089] A target ground layout acquisition unit is used to collect ground layout conditions of the target underground power channel to obtain a target ground layout.

[0090] The above-ground power unit extraction unit is used to extract a first above-ground power unit and a second above-ground power unit in the target above-ground layout, wherein the first above-ground power unit corresponds to a first above-ground coordinate, and the second above-ground power unit corresponds to a second above-ground coordinate.

[0091] A layout attribute constraint acquisition unit is used to obtain layout attribute constraints of the corresponding underground power channel by combining the power consumption requirements of the first ground power consumption unit and the second ground power consumption unit.

[0092] A layout direction constraint acquisition unit is configured to obtain a layout direction constraint of the corresponding underground power channel by combining the first ground coordinate and the second ground coordinate.

[0093] A predetermined layout constraint forming module is used to form the predetermined layout constraint according to a first layout mapping relationship between the layout attribute constraint and the layout direction constraint.

[0094] Furthermore, the target multi-dimensional information acquisition module 20 also includes:

[0095] The predetermined characteristic indicators include predetermined working well characteristic indicators and predetermined channel characteristic indicators. The predetermined working well characteristic indicators include working well type, working well size, well cover material and well cover quantity. The predetermined channel characteristic indicators include channel length, channel material and channel diameter.

[0096] Furthermore, the arbitrary slice information acquisition module 40 further includes:

[0097] A target engineering information acquisition unit is used to acquire target engineering information of the target underground power channel.

[0098] A target data list acquisition unit is used to obtain a target data list according to a target correspondence relationship between the target underground power channel and the target engineering information and the target construction information.

[0099] A target data list storage unit is used to store the target data list in the data module.

[0100] Furthermore, the arbitrary slice information acquisition module 40 further includes:

[0101] The predetermined unit time length reading unit is used to read the predetermined unit time length, and the predetermined unit time length refers to the average value of the survey time length of each construction node during the historical survey and construction.

[0102] A target slicing result acquisition unit is used to slice the target construction information with the predetermined unit time as a slicing constraint to obtain a target slicing result, wherein the target slicing result includes multiple construction slices.

[0103] An arbitrary construction slice acquisition unit is configured to acquire the arbitrary construction slice based on the plurality of construction slices.

[0104] Furthermore, the arbitrary slice information acquisition module 40 further includes:

[0105] A first image extraction unit is used to extract a first image from the multiple construction images and use the first image as a registration constraint.

[0106] The second image extraction unit is used to extract a second image from the multiple construction images and use the second image as the image to be registered.

[0107] An arbitrary target image acquisition unit is used to perform registration and fusion on the images to be registered according to the registration constraints to obtain an arbitrary target image of the arbitrary construction slice.

[0108] A feature acquisition unit is used to sequentially acquire image color and image texture features of the arbitrary target image, and obtain arbitrary target color features and arbitrary target texture features respectively.

[0109] The target resource visualization model acquisition unit is used to form the arbitrary slice information with the arbitrary target color feature and the arbitrary target texture feature, and identify the arbitrary slice information to the target structure model to obtain the target resource visualization model.

[0110] Furthermore, the target resource visualization model acquisition unit further includes:

[0111] An arbitrary target binary code acquisition unit is used to perform local binary conversion on the arbitrary target image to obtain an arbitrary target binary code.

[0112] The best matching image acquisition unit is used to traverse and match the arbitrary target binary code in the binary code database to obtain the best matching image.

[0113] The best matching image replacement unit is used to replace the arbitrary target image with the best matching image and render it to the target structure model.

[0114] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0116] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A resource management method for surveying underground power channels, characterized in that: The method is applied to a resource management platform for surveying underground power channels, the platform comprising an input module, a data module and a drawing module, the drawing module comprising a layout unit, a node positioning unit and an attribute editing unit, the method comprising: Analyzing the predetermined layout constraints by the layout typesetting unit in the drawing module and constructing an initial structure model, wherein the predetermined layout constraints are stored in the drawing module; Acquiring target multi-dimensional information through the input module, wherein the target multi-dimensional information refers to actual parameter information of the target underground power channel collected based on predetermined characteristic indicators; By means of the node positioning unit in the drawing module, the initial structural model is visually adjusted based on the target multi-dimensional information to obtain a target structural model; By means of the attribute editing unit in the drawing module, the target construction information in the data module is sliced ​​and analyzed to obtain any slice information of any construction slice; Rendering the arbitrary slice information identifier to the target structure model to obtain a target resource visualization model; Performing visual resource management on the target underground power channel through the target resource visualization model; Wherein, the target construction information in the data module is sliced ​​and analyzed by the attribute editing unit in the drawing module to obtain any slice information of any construction slice, including: Reading a predetermined unit duration, where the predetermined unit duration refers to the average value of the survey duration of each construction node during historical survey and construction; Slicing the target construction information with the predetermined unit time as a slicing constraint to obtain a target slicing result, wherein the target slicing result includes a plurality of construction slices; Acquire the arbitrary construction slice based on the multiple construction slices; The arbitrary construction slice includes a plurality of construction images, and the arbitrary slice information is edited and rendered to the target structure model to obtain a target resource visualization model, including: Extracting a first image from the plurality of construction images, and using the first image as a registration constraint; Extracting a second image from the plurality of construction images, and using the second image as an image to be registered; Performing registration and fusion on the images to be registered according to the registration constraints to obtain any target image of the any construction slice; Sequentially collecting image color and image texture features of the arbitrary target image, and obtaining arbitrary target color features and arbitrary target texture features respectively; The arbitrary target color features and the arbitrary target texture features constitute the arbitrary slice information, and the arbitrary slice information is identified to the target structure model to obtain the target resource visualization model.

2. The method according to claim 1, characterized in that: Before analyzing the predetermined layout constraints by the layout typesetting unit in the drawing module and constructing the initial structure model, the method further includes: Collecting ground layout conditions of the target underground power channel to obtain a target ground layout; Extracting a first ground power unit and a second ground power unit in the target ground layout, wherein the first ground power unit corresponds to a first ground coordinate, and the second ground power unit corresponds to a second ground coordinate; Combining the power consumption demands of the first ground power consumption unit and the second ground power consumption unit, obtaining a layout attribute constraint of the corresponding underground power channel; Combining the first ground coordinate and the second ground coordinate to obtain a layout direction constraint of the corresponding underground power channel; The predetermined layout constraint is formed according to a first layout mapping relationship between the layout attribute constraint and the layout direction constraint.

3. The method according to claim 1, characterized in that: The predetermined characteristic indicators include predetermined working well characteristic indicators and predetermined channel characteristic indicators. The predetermined working well characteristic indicators include working well type, working well size, well cover material and well cover quantity. The predetermined channel characteristic indicators include channel length, channel material and channel diameter.

4. The method according to claim 1, characterized in that: Before slicing and analyzing the target construction information in the data module, the method further includes: Acquire target engineering information of the target underground power channel; Obtaining a target data list according to a target correspondence relationship between the target underground power channel and the target engineering information and the target construction information; The target data list is stored in the data module.

5. The method according to claim 1, characterized in that: Also includes: Performing local binary conversion on the arbitrary target image to obtain an arbitrary target binary code; Traverse and match the arbitrary target binary code in the binary code database to obtain the best matching image; The best matching image is used to replace the arbitrary target image and rendered to the target structure model.

6. A resource management platform for surveying underground power channels, characterized in that: The platform is used to execute the resource management method for surveying underground power channels according to any one of claims 1 to 5, the platform includes an input module, a data module and a drawing module, the drawing module includes a layout typesetting unit, a node positioning unit and an attribute editing unit, and the platform includes: An initial structure model building module, the initial structure model building module is used to analyze the predetermined layout constraints through the layout typesetting unit in the drawing module and build an initial structure model, wherein the predetermined layout constraints are stored in the drawing module; A target multi-dimensional information acquisition module, the target multi-dimensional information acquisition module is used to acquire target multi-dimensional information through the input module, the target multi-dimensional information refers to actual parameter information of the target underground power channel collected based on predetermined characteristic indicators; A target structure model acquisition module, the target structure model acquisition module is used to obtain a target structure model by visually adjusting the initial structure model based on the target multi-dimensional information through the node positioning unit in the drawing module; An arbitrary slice information acquisition module, the arbitrary slice information acquisition module is used to perform slice processing and analysis on the target construction information in the data module through the attribute editing unit in the drawing module to obtain arbitrary slice information of any construction slice; A visualization model acquisition module, wherein the visualization model acquisition module is used to render the arbitrary slice information identifier to the target structure model to obtain a target resource visualization model; A visual resource management module, wherein the visual resource management module is used to perform visual resource management on the target underground power channel through the target resource visualization model; Wherein, the target construction information in the data module is sliced ​​and analyzed by the attribute editing unit in the drawing module to obtain any slice information of any construction slice, including: A module for reading a predetermined unit duration, wherein the predetermined unit duration is used to read a predetermined unit duration, wherein the predetermined unit duration refers to an average value of the survey duration of each construction node during historical survey and construction; A target slicing result acquisition module, the target slicing result acquisition module is used to slice the target construction information with the predetermined unit time length as a slicing constraint to obtain a target slicing result, the target slicing result including a plurality of construction slices; An arbitrary construction slice acquisition module, wherein the arbitrary construction slice acquisition module acquires the arbitrary construction slice based on the multiple construction slices; The arbitrary construction slice includes a plurality of construction images, and the arbitrary slice information is edited and rendered to the target structure model to obtain a target resource visualization model, including: A first image extraction module, the first image extraction module is used to extract a first image from the multiple construction images and use the first image as a registration constraint; A second image extraction module, the second image extraction module is used to extract a second image from the multiple construction images, and use the second image as the image to be registered; A registration and fusion module, wherein the registration and fusion module is used to perform registration and fusion on the images to be registered according to the registration constraints to obtain any target image of the any construction slice; An image texture feature acquisition module, wherein the image texture feature acquisition module is used to sequentially acquire image color and image texture features of the arbitrary target image, and obtain an arbitrary target color feature and an arbitrary target texture feature respectively; The target resource visualization model acquisition module is used to form the arbitrary slice information with the arbitrary target color features and the arbitrary target texture features, and identify the arbitrary slice information to the target structure model to obtain the target resource visualization model.

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