Power channel construction system with fusion of dynamic universal perception and geographical live-action

Abstract

The invention relates to the technical field of power channel construction, and discloses a dynamic universal perception and geographical live-action fused power channel construction system, which comprises an image data acquisition module, an environment data acquisition module, a channel path calculation module, an optimal channel path decision module and a model building module, the environment data acquisition module comprises a geographic data acquisition unit and a region division unit. The system obtains the weight of construction in the region by comprehensively analyzing the landform characteristics of the power channel construction region, whether the power channel construction region is a special region or not and the population living condition, thereby ensuring the diversification of power channel construction, and then rejecting part of the region with overlarge weight and the special region through the point location selection unit, thereby improving the accuracy of power channel construction. And a multivariate equation is established for the local area in the channel path calculation module by the optimal channel path decision module, the multivariate equation is solved with the minimum fund loss, and the optimal channel path is obtained, so that the construction of the whole power channel is completed.

Description

Technical Field

[0001] The present invention relates to the technical field of power channel construction, and in particular to a power channel construction system integrating dynamic pan-perception and geographic reality. Background Art

[0002] Ubiquitous perception generally refers to ubiquitous perception, which is an emerging research direction that intersects multiple fields such as ubiquitous computing, mobile computing, human-computer interaction, the Internet of Things, and artificial intelligence. Ubiquitous perception mainly uses cameras, accelerometers, gyroscopes, WiFi, LTE, millimeter-wave radars, and acoustic wave transceiver modules embedded in smartphones, watches, wearable devices, cars, and home appliances to perform multimodal perception of people and the environment; uses signal processing and artificial intelligence methods to analyze the perception information to obtain the situational status of people and the environment; and then provides intelligent services for people at the right time and place.

[0003] Geographic real scenes are generally obtained by directly scanning the height and width of buildings using satellite or laser technology, ultimately forming a three-dimensional map data file.

[0004] Before planning and constructing a power channel, it is necessary to investigate factors such as the geographical environment of the planning area, so as to plan a power channel that conforms to the local geographical environment according to the local geographical environment factors. The invention patent with the publication number CN113904327A discloses a method for constructing a strong local power grid. The method includes: establishing a list of important power users; for each important user in the list of important power users, establishing the shortest power supply channel from the user access point to the highest voltage level of the urban power grid; establishing a radial power supply grid from the highest voltage level of the power grid to the user access points of each important user; establishing different path channels from a hub substation to the highest voltage level substation, if there are no less than two path channels, then select the path channel with the shortest power supply distance to superimpose on the radial power supply grid; establish the shortest power supply channel from the disaster protection power supply to the radial power supply grid, so as to connect the disaster protection power supply to the radial power supply grid to form a power supply grid to be evaluated; based on the power supply grid to be evaluated, a strong local power grid is formed. The present invention can systematically and quickly form a strong local power grid.

[0005] The above-mentioned prior art provides a method for reinforcing the power supply grid and power channels in the later stage. However, the prior art still lacks a method for planning and adjusting the newly built power channels in combination with the local geographical environment factors of the construction site, so that the newly built power channels conform to the local geographical environment factors and ensure the safety and reliability of the newly built power channels. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the shortcomings of the prior art, the present invention provides a power channel construction system that integrates dynamic pan-perception and geographic reality, which has the advantages of consuming the least capital to construct a model and solves the above-mentioned technical problems.

[0008] (II) Technical solution

[0009] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a power channel construction system integrating dynamic pan-perception and geographic real scene, comprising an image data acquisition module, an environmental data acquisition module, a channel path calculation module, an optimal channel path decision module and a model building module;

[0010] The image data acquisition module is used to collect terrain and image data at the construction site of the power channel, pre-process the collected data, and send the pre-processed data to the channel path calculation module;

[0011] The environmental data acquisition module includes a geographic data acquisition unit and a region division unit. The geographic data acquisition unit is used to collect the geographical environment of the power channel construction site. The region division unit is used to divide the geographical environment collected by the environmental data acquisition unit and send the data to the channel path calculation module.

[0012] The channel path calculation module includes a regional weight calculation unit and a point selection unit. The regional weight calculation unit determines the influencing factors of each area in the power channel construction process in combination with the data in the image data acquisition module and the environmental data acquisition module, and uses the influencing factors as the weight of the area. The point selection unit performs a preliminary screening of the areas in the channel path calculation module, removes unqualified areas, and sends the weight data of the removed areas to the optimal channel path decision module;

[0013] The optimal channel path decision module is used to establish a multivariate equation for the local area in the channel path calculation module, and solve the multivariate equation with the minimum capital loss to obtain the optimal channel path;

[0014] The model building module establishes a power channel according to the optimal channel path in the optimal channel path decision module, and simulates the power channel under different environments.

[0015] As a preferred technical solution of the present invention, the image data acquisition module performs preprocessing on image acquisition and acquired data, including the following steps:

[0016] A1. Use drones or satellites to capture images of the area where construction is required;

[0017] A2. Divide the captured area into equal parts according to the area, and determine the coordinates of the center point of each area to obtain the image data set TX.

[0018] As a preferred technical solution of the present invention, the data set expression after the image data acquisition module is divided is as follows:

[0019] TX=[TX 1 ,…,TX i ,…,TX n ]

[0020] Among them, TX 1 ,…,TX i ,…,TX n Respectively represent the 1st...i-th...n-th regional image data sets.

[0021] As a preferred technical solution of the present invention, the specific working process of the environmental data acquisition module includes the following steps:

[0022] B1. Read the climate conditions and geomorphic features corresponding to the historical years of the current power construction site;

[0023] B2. Make the same division in the image data acquisition module for the construction area of ​​the power channel, and add the landform features of the corresponding area, including plains, mountains, hills and gullies.

[0024] As a preferred technical solution of the present invention, the regional weight calculation unit in the channel path calculation module combines the data in the image data acquisition module and the environmental data acquisition module to calculate the weight of each district bureau as follows:

[0025] W i =DM i +TS i +JZ i

[0026] Among them, W i represents the weight of the i-th region, DM i represents the weight factor of the geomorphic features of the ith region, TS i Indicates the weight factor of the i-th area as a special area, JZ i Represents the weight factor of the population living in the ith area.

[0027] As a preferred technical solution of the present invention, the landform feature weight factor DM of the i-th region i The expression is as follows:

[0028]

[0029] Among them, DM i represents the weight factor of the geomorphic features of the ith region, DM i=λ represents the value when the topographic feature of the i-th region is mountainous or gully, DM i =λ / 2 represents the value when the topographic feature of the i-th region is hilly, DM i =1 represents the value when the topographic feature of the i-th region is hilly;

[0030] The special area TS i Including nature reserves and areas where image data collection is prohibited, the special area TS i The expression is as follows:

[0031]

[0032] Among them, TS i =Θ indicates that the area is a special area, TS i =0 indicates that the area is not a special area, and Θ indicates a preset maximum value.

[0033] As a preferred technical solution of the present invention, the working steps of the point selection unit are as follows:

[0034] C1. Determine the weight factor of the i-th area as a special area. If TS i ≠0, then remove the area. If TS i =0, then execute step C2;

[0035] C2. Determine W i Whether it exceeds the set weight threshold W 0 If it exceeds the limit, the area will be eliminated; if it does not exceed the limit, the area will be retained, and the weight data of the area will be sent to the optimal channel path decision module.

[0036] As a preferred technical solution of the present invention, the multivariate equation expression established by the optimal channel path decision module is as follows:

[0037]

[0038] Among them, minY represents the minimum value of price Y, F ij represents the distance between the jth adjacent region of the ith region, W j represents the weight of the jth neighboring region of the ith region, CB j represents the cost of constructing the jth adjacent area of ​​the ith area, CB i represents the construction cost of the ith region, W i represents the weight of the ith region.

[0039] As a preferred technical solution of the present invention, the distance F between the i-th region and its j-th adjacent region is ij The expression is as follows:

[0040]

[0041] Among them, x i and i Respectively represent TX i The center point of the region in j and j They represent the center point of the jth adjacent region of the ith region respectively.

[0042] As a preferred technical solution of the present invention, the model building module reads the solution result of the optimal channel path decision module, connects the center points of the regions to obtain the optimal path, and simulates the optimal path based on the climate conditions corresponding to the historical years.

[0043] Compared with the prior art, the present invention provides a power channel construction system integrating dynamic pan-perception and geographic real scene, which has the following beneficial effects:

[0044] The present invention conducts a comprehensive analysis of the geomorphic features of the area where the power channel is constructed, whether it is a special area, and the population living conditions, and obtains the weight for construction in the area, thereby ensuring the diversification of the power channel construction. After that, the point selection unit is used to eliminate some areas with excessive weights and special areas, and the optimal channel path decision module is used to establish a multivariate equation for the local area in the channel path calculation module, and the multivariate equation is solved with minimal capital loss to obtain the optimal channel path, thereby completing the construction of the overall power channel. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figure 1 , a power channel construction system integrating dynamic pan-perception and geographic reality, including an image data acquisition module, an environmental data acquisition module, a channel path calculation module, an optimal channel path decision module and a model building module;

[0048] The image data acquisition module is used to collect the terrain and image data of the power channel construction site, pre-process the collected data, and send the pre-processed data to the channel path calculation module;

[0049] The image data acquisition module performs preprocessing on image acquisition and acquired data, including: taking images of the area to be constructed by drone or satellite, then dividing the photographed area into equal parts according to the area, and determining the coordinates of the center point of each area to obtain the image data set TX;

[0050] The data set expression after the image data acquisition module is divided is as follows:

[0051] TX=[TX 1 ,…,TX i ,…,TX n ]

[0052] Among them, TX 1 ,…,TX i ,…,TX n Respectively represent the 1st…ith…nth regional image data sets;

[0053] The environmental data acquisition module includes a geographic data acquisition unit and a region division unit. The geographic data acquisition unit is used to collect the geographical environment of the power channel construction site. The region division unit is used to divide the geographical environment collected by the environmental data acquisition unit and send the data to the channel path calculation module.

[0054] The specific working process of the environmental data acquisition module includes: reading the climate conditions and geomorphic features corresponding to the historical years of the current power construction site, dividing the power channel construction area into the same area as in the image data acquisition module, and adding the geomorphic features of the corresponding area, where the geomorphic features include: plains, mountains, hills and gullies;

[0055] The channel path calculation module includes a regional weight calculation unit and a point selection unit. The regional weight calculation unit combines the data in the image data acquisition module and the environmental data acquisition module to determine the influencing factors of each area in the power channel construction process, and uses the influencing factors as the weight of the area;

[0056] The regional weight calculation unit in the channel path calculation module combines the data in the image data acquisition module and the environmental data acquisition module to calculate the weight of each district bureau. The expression is as follows:

[0057] W i =DM i +TS i +JZ i

[0058] Among them, W i represents the weight of the i-th region, DM i represents the weight factor of the geomorphic features of the ith region, TSi Indicates the weight factor of the i-th area as a special area, JZ i represents the weight factor of the population living in the ith region;

[0059] The weight factor DM of the geomorphic characteristics of the i-th region i The expression is as follows:

[0060]

[0061] Among them, DM i represents the weight factor of the geomorphic features of the ith region, DM i =λ represents the value when the topographic feature of the i-th region is mountainous or gully, DM i =λ / 2 represents the value when the topographic feature of the i-th region is hilly, DM i =1 represents the value when the topographic feature of the i-th region is hilly, and λ represents the influence factor of the terrain;

[0062] Special Area TS i Including nature reserves and areas where image data collection is prohibited, special areas TS i The expression is as follows:

[0063]

[0064] Among them, TS i =Θ indicates that the area is a special area, TS i =0 means that the area is not a special area, Θ means the preset maximum value;

[0065] The weight factor JZ of the population living in the i-th region i The expression is as follows:

[0066]

[0067] Among them, JZ i It is divided into three levels according to the increasing number of residents. As the number of residents in a village or town increases, the construction difficulty cycle will also increase. δ represents the weight factor of the population;

[0068] The weight coefficient of the construction difficulty of the current area is formed by judging the population, environment and special areas, so as to consider the selection of the optimal path more comprehensively;

[0069] The point selection unit preliminarily screens the areas in the channel path calculation module, removes unqualified areas, and sends the weight data of the removed areas to the optimal channel path decision module. The specific process is as follows: first, the weight factor of the i-th area is judged as a special area. If TS i≠0, then remove the area. If TS i =0, then continue to judge, judge W i Whether it exceeds the set weight threshold W 0 If it exceeds, the area is removed; if it does not exceed, it is retained, and the weight data of the area is sent to the optimal channel path decision module;

[0070] The optimal channel path decision module is used to establish a multivariate equation for the local area in the channel path calculation module, and solve the multivariate equation with the minimum capital loss to obtain the optimal channel path.

[0071] The multivariate equation expression established by the optimal channel path decision module is as follows:

[0072]

[0073] Among them, minY represents the minimum value of price Y, F ij represents the distance between the jth adjacent region of the ith region, W j represents the weight of the jth neighboring region of the ith region, CB j represents the cost of constructing the jth adjacent area of ​​the ith area, CB i represents the construction cost of the ith region, W i Represents the weight of the ith region. In this formula, the selection logic of the adjacent regions is as follows: After the distance between the ith region and its jth adjacent region is calculated, the ith region cannot be selected, and the constraints of the multivariate equation are: the first point selected must be the starting point of the power channel construction, and the last point selected must be the end point of the power channel construction, to avoid the possibility of performing only one operation during the selection process or the inability to establish a complete path;

[0074] The distance F between the i-th region and its j-th adjacent region ij The expression is as follows:

[0075]

[0076] Among them, x i and i Respectively represent TX i The center point of the region in j and j They represent the center point of the jth adjacent region of the ith region respectively;

[0077] The model building module builds the power channel according to the optimal channel path in the optimal channel path decision module, and simulates the power channel under different environments. The model building module reads the solution results of the optimal channel path decision module, connects the regional center points, obtains the optimal path, and simulates the optimal path based on the climatic conditions corresponding to the historical years. On the simulation page, the expert can change different regional points to view different construction paths, or eliminate special areas by authorizing special areas, and recalculate the optimal path.

[0078] The present invention realizes a comprehensive analysis of the fusion of dynamic pan-perception and geographical real scene by combining the power channel with satellite remote sensing data and real-scene data taken by unmanned aerial vehicles on the geomorphic features of the construction area, and obtains the weight of construction in the area, thereby ensuring the diversification of the power channel construction. After that, some areas with excessive weights and special areas are eliminated through the point selection unit, and a multivariate equation is established for the local area in the channel path calculation module with the optimal channel path decision module, and the multivariate equation is solved with minimal capital loss to obtain the optimal channel path, thereby completing the construction of the overall power channel.

[0079] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A power channel construction system integrating dynamic pan-perception and geographic reality, characterized by: It includes image data acquisition module, environmental data acquisition module, channel path calculation module, optimal channel path decision module and model building module; The image data acquisition module is used to collect terrain and image data at the construction site of the power channel, pre-process the collected data, and send the pre-processed data to the channel path calculation module; The environmental data acquisition module includes a geographic data acquisition unit and a region division unit. The geographic data acquisition unit is used to collect the geographical environment of the power channel construction site. The region division unit is used to divide the geographical environment collected by the environmental data acquisition unit and send the data to the channel path calculation module. The channel path calculation module includes a regional weight calculation unit and a point selection unit. The regional weight calculation unit determines the influencing factors of each area in the power channel construction process in combination with the data in the image data acquisition module and the environmental data acquisition module, and uses the influencing factors as the weight of the area. The point selection unit performs a preliminary screening of the areas in the channel path calculation module, removes unqualified areas, and sends the weight data of the removed areas to the optimal channel path decision module; The optimal channel path decision module is used to establish a multivariate equation for the local area in the channel path calculation module, and solve the multivariate equation with the minimum capital loss to obtain the optimal channel path; The model building module establishes a power channel according to the optimal channel path in the optimal channel path decision module, and simulates the power channel under different environments.

2. According to claim 1, a power channel construction system integrating dynamic pan-perception and geographic reality is characterized by: The image data acquisition module performs preprocessing of image acquisition and acquired data, including the following steps: A1. Use drones or satellites to capture images of the area where construction is required; A2. Divide the captured area into equal parts according to the area, and determine the coordinates of the center point of each area to obtain the image data set TX.

3. According to claim 2, a power channel construction system integrating dynamic pan-perception and geographic reality is characterized by: The data set expression after the image data acquisition module is divided is as follows: TX=[TX l ,…,TX i ,…,TX n ] Among them, TX1, ..., TX i ,…,TX n Respectively represent the 1st...i-th...n-th regional image data sets.

4. According to claim 2, a power channel construction system integrating dynamic pan-perception and geographic reality is characterized by: The specific working process of the environmental data acquisition module includes the following steps: B1. Read the climate conditions and geomorphic features corresponding to the historical years of the current power construction site; B2. Make the same division in the image data acquisition module for the construction area of ​​the power channel, and add the landform features of the corresponding area, including plains, mountains, hills and gullies.

5. According to claim 4, a power channel construction system integrating dynamic pan-perception and geographic reality is characterized by: The expression for the regional weight calculation unit in the channel path calculation module to calculate the weight of each district by combining the data in the image data acquisition module and the environmental data acquisition module is as follows: W i =DM i +TS i +JZ i Among them, W i represents the weight of the i-th region, DM i represents the weight factor of the geomorphic features of the ith region, TS i Indicates the weight factor of the i-th area as a special area, JZ i Represents the weight factor of the population living in the ith area.

6. According to claim 5, a power channel construction system integrating dynamic pan-perception and geographic reality is characterized by: The geomorphic feature weight factor DM of the i-th region i The expression is as follows: Among them, DM i represents the weight factor of the geomorphic features of the ith region, DM i＝ λ represents the value when the topographic feature of the i-th region is mountainous or gully, DM i =λ / 2 represents the value when the topographic feature of the i-th region is hilly, DM i＝ 1 represents the value when the geomorphic feature of the i-th region is hilly; The special area TS i Including nature reserves and areas where image data collection is prohibited, the special area TS i The expression is as follows: Among them, TS i＝ Θ indicates that the area is a special area, TS i＝ 0 means that the area is not a special area, and Θ means the preset maximum value.

7. According to claim 5, a power channel construction system integrating dynamic pan-perception and geographic reality is characterized by: The working steps of the point selection unit are as follows: C1. Determine the weight factor of the i-th area as a special area. If TS i ≠0, then remove the area. If TS i =0, then execute step C2; C2. Determine W i Whether it exceeds the set weight threshold W0, if it exceeds, the area is eliminated, if not, it is retained and the weight data of the area is sent to the optimal channel path decision module.

8. The power channel construction system integrating dynamic pan-perception and geographic reality according to claim 7 is characterized by: The multivariate equation expression established by the optimal channel path decision module is as follows: Among them, minY represents the minimum value of price Y, F ij represents the distance between the jth adjacent region of the ith region, W j represents the weight of the jth neighboring region of the ith region, CB j represents the construction cost of the jth adjacent area of ​​the ith area, CB i represents the construction cost of the ith area, W i represents the weight of the ith region.

9. The power channel construction system integrating dynamic pan-perception and geographic reality according to claim 8 is characterized by: The distance F between the i-th region and its j-th adjacent region ij The expression is as follows: Among them, x i and i Respectively represent TX i The center point of the region in j and j They represent the center point of the jth adjacent region of the ith region respectively.

10. The power channel construction system integrating dynamic pan-perception and geographic reality according to claim 8 is characterized by: The model building module reads the solution results of the optimal channel path decision module, connects the center points of the regions to obtain the optimal path, and simulates the optimal path based on the climate conditions corresponding to the historical years.

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