Collaborative command device for panoramic operation of electric power pipe gallery

Abstract

The invention relates to the technical field of pipe gallery cooperative command, in particular to an electric power pipe gallery panoramic operation cooperative command device which comprises an acquisition module, a model construction module, a visualization module, a division module, a cooperative scheduling module and an alarm module. The acquisition module, the model construction module, the visualization module, the division module, the collaborative scheduling module and the alarm module are connected in sequence; therefore, the electric power pipe gallery is comprehensively scanned and the visual model is constructed, so that workers can communicate with the visual model to carry out real-time observation of panoramic operation, region division is carried out on the electric power pipe gallery by virtue of the division module, and then cooperative commanding and dispatching of resources and workers are automatically carried out under the action of the cooperative dispatching module; the pressure of workers is greatly reduced, and the command efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of collaborative command of utility tunnels, and particularly to a panoramic operation collaborative command device for power utility tunnels. Background Art

[0002] At present, in urban power infrastructure, power utility tunnels are an important component, and their safe, efficient, and intelligent operation and management become particularly important. In order to be able to monitor the panoramic operation of power utility tunnels, high-definition panoramic cameras are arranged inside the power utility tunnels to capture and transmit the omnidirectional images inside the tunnels in real time, providing clear and intuitive on-site monitoring information for operation and maintenance personnel; this panoramic monitoring method not only improves the coverage and accuracy of monitoring, but also helps operation and maintenance personnel to discover and handle potential safety hazards in a timely manner.

[0003] In the aforementioned prior art, although the tunnels can be observed in real time through monitoring, there are many operation contents inside the tunnels, and the tunnel area is large. At the same time, the staff needs to first judge the operation situation through the video images and then make command and dispatch, resulting in low command efficiency and inability to conduct efficient and comprehensive collaborative command of the tunnels. Summary of the Invention

[0004] The purpose of the present invention is to provide a panoramic operation collaborative command device for power utility tunnels, which solves the problem that although the tunnels can be observed in real time through monitoring in the prior art, there are many operation contents inside the tunnels, the tunnel area is large, and the staff needs to first judge the operation situation through the video images and then make command and dispatch, resulting in low command efficiency and inability to conduct efficient and comprehensive collaborative command of the tunnels.

[0005] To achieve the above purpose, the present invention provides a panoramic operation collaborative command device for power utility tunnels, including a collection module, a model construction module, a visualization module, a division module, a collaborative scheduling module, and an alarm module, which are connected in sequence;

[0006] The collection module is used for collecting data and images inside the power utility tunnel;

[0007] The model construction module is used for constructing a triangular mesh model according to the collected data and images;

[0008] The visualization module is used for inputting the triangular mesh model into a 3D visualization platform for display;

[0009] The division module is used for making a detailed division of the triangular mesh model;

[0010] The collaborative scheduling module is used to reasonably schedule the personnel and resources inside the power pipe gallery according to the division results;

[0011] The alarm module is used to give an alarm when an abnormal situation occurs in the power pipe gallery.

[0012] Among them, the acquisition module includes a pipe gallery scanning unit, a pipe gallery image shooting unit, a pipe gallery environment parameter acquisition unit, and a pipe gallery equipment status acquisition unit, and the pipe gallery scanning unit, the pipe gallery image shooting unit, the pipe gallery environment parameter acquisition unit, and the pipe gallery equipment status acquisition unit are connected in sequence;

[0013] The pipe gallery scanning unit is used to comprehensively scan the power pipe gallery by relying on multiple laser scanners to obtain point cloud data;

[0014] The pipe gallery image shooting unit is used to take a large number of overlapping photos in the power pipe gallery by relying on a high-resolution digital camera and generate a high-resolution image;

[0015] The pipe gallery environment parameter acquisition unit is used to obtain the environmental parameters inside the power pipe gallery by relying on sensors, and the environmental parameters include temperature, humidity, and harmful gas concentration;

[0016] The pipe gallery equipment status acquisition unit is used to collect the operation status data of each device in the power pipe gallery.

[0017] Among them, the model construction module includes a point cloud preprocessing unit, an image processing unit, a mesh generation unit, and an image mapping unit, and the point cloud preprocessing unit, the image processing unit, the mesh generation unit, and the image mapping unit are connected in sequence;

[0018] The point cloud preprocessing unit is used to preprocess the point cloud data;

[0019] The image processing unit is used to input the point cloud model into point cloud processing software and convert it into a three-dimensional model;

[0020] The mesh generation unit is used to convert the three-dimensional model into the triangular mesh model;

[0021] The image mapping unit is used to map the high-resolution image to the triangular mesh model.

[0022] Among them, the point cloud preprocessing unit includes a denoising subunit, a registration subunit, and a simplification subunit, and the denoising subunit, the registration subunit, and the simplification subunit are connected in sequence;

[0023] The denoising subunit is used to remove the noise points in the point cloud data;

[0024] The registration subunit is used to align the point cloud data of multiple scan points to form a complete point cloud model;

[0025] The simplification subunit is used to reduce the density of the point cloud data and improve the processing efficiency.

[0026] Among them, the mesh generation unit includes an algorithm reconstruction subunit, a mesh denoising and repair subunit, and a mesh simplification subunit, and the algorithm reconstruction subunit, the mesh denoising and repair subunit, and the mesh simplification subunit are connected in sequence;

[0027] The algorithm reconstruction subunit is used to use a surface reconstruction algorithm to convert the three-dimensional model into a triangular mesh model composed of triangular patches;

[0028] The mesh denoising and repair subunit is used to remove the noise on the mesh surface using a smoothing algorithm, and then detect and fill the holes in the mesh;

[0029] The mesh simplification subunit is used to use a simplification algorithm to reduce the number of mesh patches, improve the rendering efficiency, and retain important geometric features at the same time.

[0030] Among them, the division module includes a model area division unit, an area task division unit, and a task progress division unit, and the model area division unit, the area task division unit, and the task progress division unit are connected in sequence;

[0031] The model area division unit is used to divide different working areas of the triangular mesh model, and the working areas include the equipment operation area, the pipe gallery passage area, the construction area, the pipe gallery control center, and the working well area;

[0032] The area task division unit is used to classify multiple tasks being carried out in the working area, and the classified categories include daily operation and maintenance categories, safety emergency categories, construction categories, data management categories, and equipment maintenance categories;

[0033] The task progress division unit is used to divide the specific progress of the tasks being carried out in each category.

[0034] Among them, the collaborative scheduling module includes a pipe gallery data real-time display unit, a sorting unit, a resource scheduling unit, and a personnel scheduling unit, and the pipe gallery data real-time display unit, the sorting unit, the resource scheduling unit, and the personnel scheduling unit are connected in sequence;

[0035] The pipe gallery data real-time display unit is used to display the environmental parameters of the power pipe gallery and the operation status data of the equipment in the triangular mesh model and update them in real time;

[0036] The sorting unit is used to perform sorting according to the progress divided by the task progress division unit;

[0037] The resource scheduling unit is used to allocate the resources in the area with faster progress completion to the area with slower progress;

[0038] The personnel scheduling unit is used to allocate the personnel in the area with faster progress completion to the area with slower progress.

[0039] Among them, the alarm module includes an alarm preset unit and an alarm display unit, and the alarm preset unit is connected to the alarm display unit;

[0040] The alarm preset unit is used to set the operation preset values of the power pipe gallery environment parameters and equipment;

[0041] The alarm display unit is used to give an alarm after the environment parameters or equipment operation data exceed the preset values, and display the alarm area on the triangular grid model for the convenience of intuitive viewing by the staff.

[0042] For a panoramic operation collaborative command device of a power pipe gallery according to the present invention, the acquisition module is used to acquire data and images inside the power pipe gallery;

[0043] The model construction module is used to construct a triangular grid model according to the acquired data and images; the visualization module is used to input the triangular grid model into a 3D visualization platform for display; the division module is used to perform a detailed division on the triangular grid model; the collaborative scheduling module is used to reasonably schedule the personnel and resources inside the power pipe gallery according to the division result; the alarm module is used to give an alarm when an abnormal situation occurs in the power pipe gallery; thus, by comprehensively scanning the power pipe gallery and constructing a visualization model, the staff can then conduct real-time observation of the panoramic operation through the visualization model, and rely on the division module to divide the power pipe gallery into regions, and then under the action of the collaborative scheduling module, automatically conduct collaborative command and scheduling of resources and personnel, greatly reducing the pressure on the staff and improving the command efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art.

[0045] Figure 1 It is the overall schematic diagram of the present invention.

[0046] Figure 2 It is the schematic diagram of the acquisition module of the present invention.

[0047] Figure 3 It is the schematic diagram of the model construction module of the present invention.

[0048] Figure 4 It is the schematic diagram of the point cloud preprocessing unit of the present invention.

[0049] Figure 5 It is the schematic diagram of the mesh generation unit of the present invention.

[0050] Figure 6 It is the schematic diagram of the partitioning module of the present invention.

[0051] Figure 7 It is the schematic diagram of the collaborative scheduling module of the present invention.

[0052] Figure 8 It is the schematic diagram of the alarm module of the present invention.

[0053] 1 - Acquisition module, 101 - Utility tunnel scanning unit, 102 - Utility tunnel image capturing unit, 103 - Utility tunnel environmental parameter acquisition unit, 104 - Utility tunnel equipment status acquisition unit, 2 - Model construction module, 201 - Point cloud preprocessing unit, 2011 - Denoising subunit, 2012 - Registration subunit, 2013 - Simplification subunit, 202 - Image processing unit, 203 - Mesh generation unit, 2031 - Algorithm reconstruction subunit, 2032 - Mesh denoising and repair subunit, 2033 - Mesh simplification subunit, 204 - Image mapping unit, 3 - Visualization module, 4 - Partitioning module, 401 - Model area partitioning unit, 402 - Area task partitioning unit, 403 - Task progress partitioning unit, 5 - Collaborative scheduling module, 501 - Utility tunnel data real - time display unit, 502 - Sorting unit, 503 - Resource scheduling unit, 504 - Personnel scheduling unit, 6 - Alarm module, 601 - Alarm preset unit, 602 - Alarm display unit. Detailed implementation manners

[0054] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present invention, and should not be construed as limiting the present invention.

[0055] Please refer to Figures 1 to 8 , the present invention provides a panoramic operation collaborative command device for a power utility tunnel, which specifically includes:

[0056] The acquisition module 1 is used to acquire data and images inside the power utility tunnel;

[0057] Specifically, it includes:

[0058] The utility tunnel scanning unit 101 is used to comprehensively scan the power utility tunnel by relying on multiple laser scanners to obtain point cloud data;

[0059] Laser scanners are installed at the corners of each area of the power cable tunnel to ensure a comprehensive scan of the power cable tunnel and lay the foundation for subsequent model construction.

[0060] The tunnel image capturing unit 102 is used to capture a large number of overlapping photos inside the power cable tunnel by relying on a high-resolution digital camera and generate high-resolution images.

[0061] High-resolution digital cameras are installed at the corners of each area of the power cable tunnel to ensure a comprehensive capture of the power cable tunnel and lay the foundation for subsequent model construction.

[0062] The tunnel environment parameter acquisition unit 103 is used to obtain the environmental parameters inside the power cable tunnel by relying on sensors. The environmental parameters include temperature, humidity, and harmful gas concentration.

[0063] By installing temperature sensors, humidity sensors, and various gas detectors at the corners of each area inside the power cable tunnel, the temperature, humidity, and harmful gas concentration inside the power cable tunnel can be detected. The gas detector is a detection sensor for combustible and toxic gases to ensure that the inside of the power cable tunnel will not cause damage to the human body.

[0064] The tunnel equipment status acquisition unit 104 is used to collect the operation status data of each device inside the power cable tunnel.

[0065] By installing monitoring sensors on the equipment inside the power cable tunnel, the data of the equipment operating inside the power cable tunnel can be collected, so that the staff can remotely observe whether the equipment is operating normally and ensure the normal operation of the power cable tunnel.

[0066] The model construction module 2 is used to construct a triangular mesh model based on the collected data and images.

[0067] Specifically, it includes:

[0068] The point cloud preprocessing unit 201 is used to preprocess the point cloud data.

[0069] Specifically, it includes:

[0070] The denoising sub-unit 2011 is used to remove the noise points in the point cloud data.

[0071] The noise points are removed by radius filtering by setting a radius range. First, for each point, count the number of neighboring points within its radius r. If the number of neighboring points is less than the set threshold, then this point is regarded as noise and removed.

[0072] The registration sub-unit 2012 is used to align the point cloud data of multiple scan points to form a complete point cloud model.

[0073] First, perform rough registration. Extract the feature points of the point cloud, use a feature matching algorithm (such as RANSAC) to find the corresponding relationships between the point clouds, and calculate the initial transformation matrix. Then, perform fine registration. Fine registration further optimizes the alignment accuracy based on the rough registration by using the Iterative Closest Point (ICP) algorithm: for each point, find the closest point in the target point cloud as the corresponding point, calculate the rigid body transformation (rotation and translation) that minimizes the distance between the corresponding points, apply the transformation and iterate until convergence.

[0074] The simplification subunit 2013 is used to reduce the density of the point cloud data and improve the processing efficiency.

[0075] Reduce the computational complexity by reducing the density of the point cloud data. The method is voxel grid filtering: divide the point cloud into a series of cubes (voxels), and replace all the points in each cube with the centroid of the cube, so as to achieve the effect of downsampling. This method is simple and effective and can significantly reduce the amount of point cloud data.

[0076] The image processing unit is used to input the point cloud model into point cloud processing software and convert it into a three-dimensional model;

[0077] Open the point cloud processing software (CloudCompare), input the preprocessed point cloud model into the software for loading, and use the mesh generation function in the software to convert the point cloud into a three-dimensional model.

[0078] The mesh generation unit 203 is used to convert the three-dimensional model into the triangular mesh model;

[0079] Specifically, it includes:

[0080] The algorithm reconstruction subunit 2031 is used to use a surface reconstruction algorithm to convert the three-dimensional model into a triangular mesh model composed of triangular patches;

[0081] Use the Delaunay triangulation algorithm to construct the model. Generate the triangular mesh by projecting the point cloud onto a parameter domain, then performing triangulation on this domain, and finally mapping the triangulation back to the original space.

[0082] The mesh denoising and repair subunit 2032 is used to use a smoothing algorithm to remove the noise on the mesh surface, and then detect and fill the holes in the mesh;

[0083] Using the Laplace smoothing algorithm, the position of each vertex is averaged by weighting the positions of neighboring vertices to reduce the noise of the mesh. Then, the hole detection tool in the 3D modeling software is used to automatically identify the holes in the mesh. For smaller holes, a triangulation algorithm can be used to fill them. For larger holes, it may be necessary to create a patch mesh to fill them. Finally, the noise on the mesh surface is effectively removed and the holes in the mesh are filled, thus generating a smoother and more complete 3D mesh model.

[0084] The mesh simplification subunit 2033 is used to reduce the number of mesh faces using a simplification algorithm, improve the rendering efficiency, and retain important geometric features at the same time.

[0085] Sample the Edge Collapse algorithm to simplify the model by merging two adjacent faces. The merged faces are usually determined by calculating some geometric metrics (such as normal direction, area, etc.), thereby reducing the number of mesh faces and improving the rendering efficiency. After the simplification is completed, check the geometric features to ensure that important geometric features (edges, corners, and surfaces) are retained.

[0086] The image mapping unit 204 is used to map the high-resolution image to the triangular mesh model.

[0087] High-resolution images can capture more details, such as textures, color changes, and shadows. After these details are mapped onto the model, they can greatly enhance the realism and three-dimensionality of the model. Through texture mapping, the effects of various materials, such as metal, wood, and fabric, can be simulated, making the model look more realistic; thus, it is more convenient for the staff to analyze the situation of the power pipe gallery and improve the experience of the staff in command and dispatch.

[0088] The visualization module 3 is used to input the triangular mesh model into a 3D visualization platform for display;

[0089] By performing 3D visualization of the model, the staff can directly observe the triangular mesh model in the control center, and then view the situation of the power pipe gallery in all directions, greatly improving the efficiency of collaborative command.

[0090] The partitioning module 4 is used to perform a detailed partitioning of the triangular mesh model;

[0091] Specifically, it includes:

[0092] The model area partitioning unit 401 is used to partition different working areas of the triangular mesh model. The working areas include the equipment operation area, the pipe gallery passage area, the construction area, the pipe gallery control center, and the working well area;

[0093] The power pipe gallery is divided into multiple working areas, enabling the equipment and staff in each area to perform their respective duties. Meanwhile, it facilitates the control center to intuitively judge the working conditions of each area, and it is more convenient to allocate the resources and personnel in the area with a faster working progress to the area with a slower working progress, eliminating the need for manual analysis and judgment, and greatly improving the collaborative command efficiency.

[0094] The area task division unit 402 is used to classify multiple tasks being carried out in the working area. The classified categories include daily operation and maintenance category, safety emergency category, construction category, data management category, and equipment maintenance category.

[0095] In the case of dividing the power pipe gallery into areas, classifying the specific tasks in the areas is more convenient for the control center to view and compare.

[0096] The task progress division unit 403 is used to divide the specific progress of the tasks being carried out in each category.

[0097] Displaying the specific progress of each task can more conveniently allocate the resources and personnel in the area with a faster working progress to the area with a slower working progress, eliminating the need for manual analysis and judgment, and greatly improving the collaborative command efficiency.

[0098] The collaborative scheduling module 5 is used to reasonably schedule the personnel and resources inside the power pipe gallery according to the division results.

[0099] Specifically including:

[0100] The pipe gallery data real-time display unit 501 is used to display the environmental parameters of the power pipe gallery and the operation status data of the equipment in the triangular grid model and update them in real time.

[0101] Real-time display of the environmental temperature, humidity and gas conditions of the power pipe gallery in each divided area ensures the safety of the staff in the power pipe gallery. Meanwhile, displaying the operation status of the equipment in each area ensures the normal operation of the power pipe gallery, thereby improving the operation safety and stability of the power pipe gallery and reducing the pressure of the staff's patrol.

[0102] The sorting unit 502 is used to sort according to the progress divided by the task progress division unit 403.

[0103] Sorting the task progress is convenient for the staff to intuitively view the tasks with slower and faster progress, so as to facilitate the subsequent command and dispatch of resources and personnel.

[0104] The resource scheduling unit 503 is used to allocate the resources in the area with a faster progress completion to the area with a slower progress.

[0105] Resources from areas that are completed faster will be allocated to areas that are completed slower, thereby ensuring the synchronization of the overall operations of the power corridor and improving the work quality and efficiency of the power corridor.

[0106] The personnel dispatching unit 504 is used to dispatch personnel from areas with faster progress to areas with slower progress.

[0107] Personnel from areas that complete work faster will be deployed to areas that complete work slower, thereby ensuring the synchronization of the overall operations of the power corridor and improving the work quality and efficiency of the power corridor.

[0108] The alarm module 6 is used to generate an alarm when an abnormal situation occurs in the power pipeline corridor.

[0109] Specifically include:

[0110] The alarm preset unit 601 is used to set the power pipeline corridor environmental parameters and equipment operation preset values;

[0111] After setting the preset value, the safety of the power corridor can be fully guaranteed and the pressure on staff during inspections can be reduced.

[0112] The alarm display unit 602 is used to issue an alarm after the environmental parameters or equipment operation data exceed the preset value, and display the alarm area on the triangular mesh model for the convenience of intuitive viewing by the staff.

[0113] The alarm area is displayed on the triangular mesh model for intuitive viewing by staff. Staff can directly find the specific alarm area location from the visualized triangular mesh model and notify relevant technical personnel to go for maintenance, which greatly shortens the emergency processing time and improves the safety of the power pipeline corridor.

[0114] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A panoramic operation collaborative command device for power pipe gallery, characterized in that: It includes a collection module, a model building module, a visualization module, a division module, a collaborative scheduling module and an alarm module, wherein the collection module, the model building module, the visualization module, the division module, the collaborative scheduling module and the alarm module are connected in sequence; The acquisition module is used to collect data and images inside the power pipeline corridor; The model building module is used to build a triangular mesh model based on the collected data and images; The visualization module is used to input the triangular mesh model into a 3D visualization platform for display; The division module is used to divide the triangular mesh model in detail; The collaborative dispatching module is used to reasonably dispatch personnel and resources inside the power pipeline corridor according to the division results; The alarm module is used to give an alarm when an abnormal situation occurs in the power pipeline corridor.

2. The power pipeline gallery panoramic operation collaborative command device according to claim 1, characterized in that: The acquisition module includes a pipe gallery scanning unit, a pipe gallery image shooting unit, a pipe gallery environment parameter acquisition unit and a pipe gallery equipment status acquisition unit, and the pipe gallery scanning unit, the pipe gallery image shooting unit, the pipe gallery environment parameter acquisition unit and the pipe gallery equipment status acquisition unit are connected in sequence; The pipeline corridor scanning unit is used to comprehensively scan the power pipeline corridor by means of multiple laser scanners to obtain point cloud data; The pipeline gallery image capturing unit is used to capture a large number of overlapping photos in the power pipeline gallery with a high-resolution digital camera and generate a high-resolution image; The pipe gallery environmental parameter acquisition unit is used to obtain environmental parameters inside the power pipe gallery by relying on sensors, and the environmental parameters include temperature, humidity and concentration of harmful gases; The pipe gallery equipment status collection unit is used to collect the operating status data of each device in the power pipe gallery.

3. The power pipeline gallery panoramic operation collaborative command device according to claim 2, characterized in that: The model building module comprises a point cloud preprocessing unit, an image processing unit, a grid generation unit and an image mapping unit, wherein the point cloud preprocessing unit, the image processing unit, the grid generation unit and the image mapping unit are connected in sequence; The point cloud preprocessing unit is used to preprocess the point cloud data; The image processing unit is used to input the point cloud model into the point cloud processing software to convert it into a three-dimensional model; The mesh generation unit is used to convert the three-dimensional model into the triangular mesh model; The image mapping unit is used to map the high-resolution image to the triangular mesh model.

4. The power pipeline gallery panoramic operation collaborative command device according to claim 3, characterized in that: The point cloud preprocessing unit includes a denoising subunit, a registration subunit and a simplification subunit, and the denoising subunit, the registration subunit and the simplification subunit are connected in sequence; The denoising subunit is used to remove noise points in the point cloud data; The registration subunit is used to align the point cloud data of multiple scanning points to form a complete point cloud model; The simplification subunit is used to reduce the density of point cloud data and improve processing efficiency.

5. The power pipeline gallery panoramic operation collaborative command device according to claim 4, characterized in that: The mesh generation unit comprises an algorithm reconstruction subunit, a mesh denoising and repairing subunit and a mesh simplification subunit, and the algorithm reconstruction subunit, the mesh denoising and repairing subunit and the mesh simplification subunit are connected in sequence; The algorithm reconstruction subunit is used to convert the three-dimensional model into a triangular mesh model composed of triangular facets using a surface reconstruction algorithm; The mesh denoising and repairing subunit is used to remove the noise on the mesh surface by using a smoothing algorithm, and then detect and fill the holes in the mesh; The mesh simplification subunit is used to use a simplification algorithm to reduce the number of mesh facets, improve rendering efficiency, and retain important geometric features.

6. The power pipeline gallery panoramic operation collaborative command device according to claim 5, characterized in that: The division module includes a model area division unit, a regional task division unit and a task progress division unit, and the model area division unit, the regional task division unit and the task progress division unit are connected in sequence; The model area division unit is used to divide the triangular mesh model into different working areas, the working areas including equipment operation areas, pipe gallery passage areas, construction areas, pipe gallery control centers and working well areas; The regional task division unit is used to classify multiple tasks being performed in the work area into categories, including daily operation and maintenance category, safety emergency category, construction category, data management category and equipment maintenance category; The task progress division unit is used to divide the specific progress of the ongoing tasks of each category.

7. The power pipeline gallery panoramic operation collaborative command device according to claim 6, characterized in that: The collaborative scheduling module includes a real-time display unit for pipe gallery data, a sorting unit, a resource scheduling unit and a personnel scheduling unit, and the real-time display unit for pipe gallery data, the sorting unit, the resource scheduling unit and the personnel scheduling unit are connected in sequence; The real-time display unit for pipeline corridor data is used to display the collected environmental parameters of the power pipeline corridor and the operating status data of the equipment in the triangular mesh model and update them in real time; The sorting unit is used to sort according to the progress divided by the task progress dividing unit; The resource scheduling unit is used to allocate resources from the area with faster progress to the area with slower progress; The personnel dispatching unit is used to deploy personnel from areas with faster progress to areas with slower progress.

8. The power pipeline gallery panoramic operation collaborative command device according to claim 7, characterized in that: The alarm module includes an alarm preset unit and an alarm display unit, and the alarm preset unit is connected to the alarm display unit; The alarm preset unit is used to set the power pipeline corridor environmental parameters and equipment operation preset values; The alarm display unit is used to issue an alarm after the environmental parameters or equipment operation data exceed the preset value, and display the alarm area on the triangular mesh model for the convenience of intuitive viewing by the staff.

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