Intelligent operation and maintenance decision support method and platform based on multi-source data fusion in power industry

Abstract

The present invention provides an intelligent operation and maintenance decision support method and platform for multi-source data fusion of electric power, belonging to the field of data processing technology. The method includes the following steps: determining an installation area that meets the conditions for electric power installation, and determining the estimated number of installations of corresponding heliostats based on the installation area; generating an electric power warning area based on the regional center point of the installation area, and sequentially forming each ring-shaped planning area around the electric power warning area with the electric power warning area as the center; in response to the formation of any ring-shaped planning area, performing regional planning on the ring-shaped planning area to obtain placement sub-areas for placing heliostats, and in response to the cumulative number of areas corresponding to all placement sub-areas being no less than the estimated number of installations, stopping the formation of the ring-shaped planning area. The present invention at least improves planning efficiency.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to an intelligent operation and maintenance decision support method and platform for fusion of multi-source power data. Background Art

[0002] In the field of solar energy utilization, heliostats are crucial for improving solar energy collection efficiency. Traditional heliostat layout often relies on manual planning based on experience, which has numerous drawbacks. Firstly, manual planning fails to fully account for complex geographical factors; secondly, manual planning is inefficient, which in turn increases labor costs.

[0003] As solar energy applications continue to expand, the number and layout complexity of heliostats are rapidly increasing, highlighting the limitations of manual planning. Failure to automate heliostat planning would not only waste resources but also hinder the efficient development of the solar industry. Therefore, achieving automated heliostat planning, enabling it to automatically optimize its layout based on factors such as the geographic environment and lighting conditions, has become a pressing technical challenge. Summary of the Invention

[0004] Based on the above problems, the present invention is proposed to provide an intelligent operation and maintenance decision support method and platform for power multi-source data fusion to overcome the above problems or at least partially solve the above problems.

[0005] According to one aspect of the present invention, a method for intelligent operation and maintenance decision support based on multi-source power data fusion is provided, comprising the following steps:

[0006] Determine an installation area that meets the power installation conditions, and determine an estimated installation quantity of corresponding heliostat equipment based on the installation area;

[0007] Generate a power warning area based on the center point of the installation area, and sequentially form each ring planning area around the power warning area with the power warning area as the center;

[0008] In response to forming any annular planning area, performing area planning on the annular planning area to obtain placement sub-areas for placing the heliostats, and in response to the cumulative number of areas corresponding to all placement sub-areas obtained being no less than the estimated installation quantity, stopping the formation of the annular planning area.

[0009] Optionally, in the method according to the present invention, determining an installation area that meets the power installation conditions, and determining an estimated number of corresponding heliostats to be installed based on the installation area, includes:

[0010] Perform array processing on the site to be explored, and perform elevation detection on each array point to obtain the elevation value of each point;

[0011] Determine array points that meet the screening conditions based on the elevation value of each point, and connect adjacent array points to obtain initial areas;

[0012] In response to the circular area of the inscribed circular area formed based on any of the initial areas being greater than a preset minimum area, the inscribed circular area is determined as a power installation area that meets the power installation conditions;

[0013] The total adapted power is determined based on the installation area of the corresponding installation region, and the estimated installation quantity is obtained based on the ratio of the total adapted power to the equipment power of the corresponding heliostat equipment.

[0014] Optionally, in the method according to the present invention, determining array points that meet the screening conditions based on the elevation value of each point includes:

[0015] Calculating the difference between the elevation values of adjacent corresponding points for all array points, and based on each obtained first point difference, aggregating all array points whose corresponding elevation values are less than a preset first difference into a point screening group;

[0016] The difference between the corresponding point elevation values of each pair of all array points located in the point screening group is calculated, and based on each obtained second point difference, all array points corresponding to the points less than the preset second difference are determined to meet the screening condition.

[0017] Optionally, in the method according to the present invention, in response to forming any annular planning area, performing area allocation on the annular planning area to obtain placement sub-areas for placing heliostats includes:

[0018] Taking the center point of the area as the origin, establish a real coordinate system corresponding to the installation area, and use the X-axis of the real coordinate system as the horizontal centerline and the Y-axis as the vertical centerline, respectively, to generate a horizontal aisle area and a vertical aisle area extending along the X-axis and the Y-axis;

[0019] In response to forming any annular planning area, determining each independent area located in the annular planning area and not overlapping with the transverse aisle area and the longitudinal aisle area;

[0020] generating an independent centerline based on an outer diameter contour line and an inner diameter contour line corresponding to the same independent area, and retrieving an on-device visual contour corresponding to the heliostat;

[0021] Any end point of the line segment corresponding to the independent center line is determined as the sliding starting point, and the other end point of the line segment is determined as the sliding ending point. The visible contour on the device is controlled to slide from the sliding starting point to the sliding ending point in such a way that the center point of the contour of the device coincides with the sliding starting point, thereby forming the independent area and each placement sub-area with a preset spacing between adjacent areas.

[0022] Optionally, in the method according to the present invention, the method further comprises:

[0023] Determine a placement sub-region adjacent to the sliding end point in each independent region as an edge sub-region, and obtain a point distance between a contour center point corresponding to the edge sub-region and the sliding end point based on the independent center line;

[0024] In response to the point distance being greater than a preset first spacing and less than a preset second spacing, controlling all placement sub-areas located in the independent area to slide along the independent center line toward the sliding end point by a distance corresponding to half the point distance;

[0025] In response to the point distance being greater than a preset second spacing, the contour center point corresponding to each placement center point and the sliding start point and the sliding end point corresponding to the independent center line are respectively determined as placement division points;

[0026] Obtain the spacing between adjacent placement points, and calculate the mean of all the obtained point spacings to obtain the point mean;

[0027] Based on the independent center line, the extension direction from the sliding end point to the sliding start point is determined as the adjustment direction, and based on the adjustment direction, the placement division points of each placement sub-area are slidingly operated in turn to adjust the point spacing of the placement division points in adjacent positions to the point average.

[0028] Optionally, in the method according to the present invention, the method further comprises:

[0029] In response to stopping the formation of the annular planned area, establishing a regional model corresponding to the erection area based on digital twin technology, wherein the regional model includes an annular virtual area corresponding to each annular planned area;

[0030] Sending the regional model to a marking construction end for display, so that the marking construction end forms a real marking line for marking the annular planning area based on the regional model;

[0031] In response to receiving a construction completion signal sent by the marking construction end, the drone is controlled to fly to the erection area to collect images of each ring-shaped planned area to obtain a regional collection map;

[0032] performing image recognition on the area acquisition image, and determining an image marking line indicating the real marking line located in the area acquisition image based on the recognition result;

[0033] Determine the virtual marking lines constituting each annular virtual area, and compare the image marking lines corresponding to the same annular planning area with the virtual marking lines;

[0034] In response to determining that the construction attributes of all the ring-shaped planning areas are qualified attributes based on the comparison result, a device placement signal is sent to the placement construction end, so that the placement construction end places the heliostat in each ring-shaped planning area.

[0035] Optionally, in the method according to the present invention, determining virtual marking lines constituting each annular virtual area and performing line segment comparison between the image marking lines corresponding to the same annular planned area and the virtual marking lines includes:

[0036] Determining virtual marking lines constituting each annular virtual area based on the area model, wherein the virtual marking lines include a contour marking line corresponding to the virtual environment area and an area marking line corresponding to each placement sub-area;

[0037] Comparing the contour marking line and the virtual marking line corresponding to the same annular planning area, and determining a first comparison score based on the obtained first comparison result;

[0038] Performing a line segment comparison between each area marking line corresponding to the same annular planning area and the virtual marking line, and determining a second comparison score based on the obtained second comparison result;

[0039] A weighted summation is performed on the first comparison score and the second comparison score, and in response to the obtained comprehensive score being greater than a preset score, the construction attribute of the annular planning area is determined to be a qualified attribute, otherwise it is determined to be a defective attribute.

[0040] Optionally, in the method according to the present invention, performing line segment comparison on the contour marking line corresponding to the same annular planning area and the virtual marking line, and determining a first comparison score based on the obtained first comparison result, includes:

[0041] Acquire each contour pixel point constituting the contour marking line and each virtual pixel point constituting the virtual marking line;

[0042] Compare each contour pixel with each virtual pixel, and group the contour pixels that do not overlap with any virtual pixel into a difference pixel group;

[0043] Obtaining the number of pixels corresponding to all contour pixels in the difference pixel group, and obtaining a quantity difference score of a corresponding quantity dimension based on the number of pixels;

[0044] Establishing a difference connecting line connecting the center point of the region and each contour pixel point located in the difference pixel group, and obtaining a difference line segment length corresponding to each difference connecting line;

[0045] Calculate the difference between the length of the corresponding maximum difference line segment and the length of the corresponding minimum difference line segment, and obtain the deviation difference score of the corresponding deviation dimension based on the obtained difference line segment difference;

[0046] The quantity difference score and the deviation difference score are fused and calculated to obtain the first comparison score.

[0047] Optionally, in the method according to the present invention, performing line segment comparison on each area marking line corresponding to the same annular planning area and the virtual marking line, and determining a second comparison score based on the obtained second comparison result, includes:

[0048] Compare the line segments of each area marking line corresponding to the same annular planning area with the virtual marking line, and calculate the average value based on the obtained overlap rate of each line segment to obtain the overlap mean;

[0049] In response to any line segment overlap ratio being less than one, determining the region marking line corresponding to the line segment overlap ratio as a defect marking line;

[0050] Determining the number of line segments of all defect marking lines included in the same annular planning area, and determining a numerical adjustment coefficient based on the number of line segments;

[0051] The overlap mean is downwardly adjusted based on the numerical adjustment coefficient, and a second comparison score is determined based on the obtained updated mean.

[0052] Optionally, in the method according to the present invention, the method further comprises:

[0053] In response to determining that the construction attributes of any annular planning area are defective attributes based on the comparison result, the annular virtual area corresponding to the annular planning area is determined as a marked virtual area based on the area model;

[0054] Taking the power warning area as a starting point, sorting each annular planned area surrounding the power warning area, and determining the area sequence number of the corresponding marked virtual area based on the obtained area sequence;

[0055] Determining a power virtual area corresponding to the power warning area based on the area model, and establishing a serial number filling slot and an image filling slot based on the power virtual area;

[0056] Determining different marking colors corresponding to the same number based on the number of marks corresponding to all marking virtual areas, and establishing a color correspondence between each marking virtual area and the different marking colors;

[0057] Filling the area serial number and the area upper view corresponding to each marked virtual area into the serial number filling slot and the image filling slot respectively, and configuring the serial number filling slot to cyclically display each area serial number for a corresponding preset display time;

[0058] In response to the serial number filling slot, any area serial number is displayed, and the area serial number and the power virtual area corresponding to the area serial number are rendered in color based on a mark color that has a color correspondence relationship with the area serial number.

[0059] According to another aspect of the present invention, there is provided an intelligent operation and maintenance decision support platform for multi-source power data fusion, comprising:

[0060] a quantity determination module configured to determine an installation area that meets the power installation conditions and determine an estimated installation quantity of corresponding helical devices based on the installation area;

[0061] The warning planning module is configured to generate a power warning area based on the center point of the installation area, and sequentially form each ring planning area around the power warning area with the power warning area as the center;

[0062] The placement planning module is configured to, in response to the formation of any annular planning area, perform area planning on the annular planning area to obtain placement sub-areas for placing heliostats, and stop forming the annular planning area in response to the cumulative number of areas corresponding to all the placement sub-areas being no less than the estimated number of installations.

[0063] The present invention is beneficial in that:

[0064] According to the technical solution proposed by the present invention, the present invention significantly improves the scientificity and efficiency of the installation planning of heliostat equipment through systematic regional planning and equipment layout strategy. In the process of determining the installation area, the elevation detection and double-layer screening mechanism of the array points are used to accurately identify the installation areas with flat terrain and qualified area, ensuring that the heliostat equipment is installed on stable terrain, reducing the foundation treatment cost and equipment operation risk, and through quantitative calculation based on the installation area and equipment power, the estimated installation quantity is made to fit the actual carrying capacity, avoiding resource waste or over-dense equipment layout; in the process of generating and dividing the ring planning area, the ring planning area is constructed layer by layer with the power warning area as the center. By combining the real coordinate system with the reserved aisle area, a reasonable separation between equipment layout and operation and maintenance channels is achieved. By sliding the equipment's upper visual contour along the independent center line, placement sub-areas with standardized spacing are formed in each annular area to ensure the uniformity of equipment arrangement and space utilization. By setting the stop condition (the cumulative number of placement sub-areas ≥ the estimated number of installations), the planning process is automatically terminated to avoid over-planning and improve resource allocation accuracy. This effectively solves the problems of poor terrain adaptability, chaotic layout, low construction accuracy, and low planning efficiency in traditional methods, provides technical support for the efficient installation and stable operation of fixed-day equipment, and significantly improves the digitalization and precision of intelligent operation and maintenance of power systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 A flowchart of an intelligent operation and maintenance decision support method for power multi-source data fusion according to an embodiment of the present invention is shown;

[0066] Figure 2 The diagram shows a planning diagram formed after regional planning of the installation area in this embodiment;

[0067] Figure 3 A structural block diagram of an intelligent operation and maintenance decision support platform for multi-source power data fusion according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0068] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0069] To address the aforementioned problems in the prior art, the inventors have proposed the present invention. One embodiment of the present invention provides a method for intelligent operation and maintenance decision support based on multi-source power data fusion. The method can be executed on a computing device, which can be understood as a terminal with data processing capabilities, such as a mobile phone or computer.

[0070] Figure 1 FIG. 1 is a flow chart showing an intelligent operation and maintenance decision support method for power multi-source data fusion according to an embodiment of the present invention. Figure 1 As shown, the method provided in this embodiment begins with step S101, wherein S101 includes the following contents:

[0071] An installation area that meets the power installation conditions is determined, and an estimated installation quantity of corresponding heliostat equipment is determined based on the installation area.

[0072] For example, in this embodiment, it can be explained that, based on the background art, heliostats generate corresponding power output by receiving light. Therefore, to improve the efficiency of power output, areas with long light duration and high light intensity are generally selected for the layout of corresponding heliostats. After determining that any area meets the corresponding light conditions, in order to ensure that the heliostats can be stably installed and used for a long time, it is necessary to determine whether the power installation conditions are met based on the terrain conditions of the area. If any installation area that meets the power installation conditions is found, the estimated number of corresponding heliostats to be installed can be determined based on the regional status of the installation area. In other words, the corresponding number can be estimated in advance, and the estimated number of installations obtained can be used as a planning target in the subsequent specific planning process.

[0073] Furthermore, in this embodiment, the above-mentioned "determining a construction area that meets the power installation conditions, and determining the estimated installation quantity of corresponding heliostats based on the construction area" may also include the following steps:

[0074] Perform array processing on the site to be explored, and perform elevation detection on each array point to obtain the elevation value of each point;

[0075] Determine array points that meet the screening conditions based on the elevation value of each point, and connect adjacent array points to obtain initial areas;

[0076] In response to the circular area of the inscribed circular area formed based on any of the initial areas being greater than a preset minimum area, the inscribed circular area is determined as a power installation area that meets the power installation conditions;

[0077] The total adapted power is determined based on the installation area of the corresponding installation region, and the estimated installation quantity is obtained based on the ratio of the total adapted power to the equipment power of the corresponding heliostat equipment.

[0078] For example, in this embodiment, the determination of the installation area and the estimated number of installations based on the installation area can be specifically implemented based on the following process:

[0079] First, the site to be explored can be arrayed to form regularly distributed array points, and elevation detection can be performed on each array point to obtain the elevation value of each point, providing a data basis for subsequent screening of suitable areas based on terrain conditions, ensuring that the acquired terrain data can accurately reflect the actual elevation of the site. It can be explained that the site to be explored can be understood as a site that meets the lighting conditions, and the elevation detection of each array point can be achieved based on a drone, that is, by controlling the drone to fly to each array point, and further obtaining the point elevation value of each array point through the elevation sensor pre-installed on the drone;

[0080] Then, based on the obtained elevation value of each point, the difference between the elevation values of adjacent points can be calculated for all array points. The array points with a value less than the preset first difference are aggregated into a point screening group. Then, the difference between the elevation values of each pair of array points in the point screening group is calculated. The array points with a value less than the preset second difference are determined as points that meet the screening conditions. Through the two-layer difference screening, areas with large terrain undulations are effectively excluded, ensuring that the screened points are on relatively flat terrain, which is conducive to the stable installation and operation of the heliostat.

[0081] Next, adjacent array points that meet the screening criteria can be further connected to form initial areas. For each initial area, the circular area of the corresponding inscribed circular area is calculated. In response to the circular area being larger than the preset minimum area, the inscribed circular area is determined to be the installation area that meets the power installation conditions. By determining the inscribed circular area, it is ensured that the installation area has a large enough flat space to meet the layout requirements of the heliostat equipment, avoiding equipment installation difficulties or low operating efficiency due to the area being too small or the terrain being complex.

[0082] Finally, the total adapted power is determined based on the installation area. The estimated installation quantity is then calculated by comparing the total adapted power to the power of the heliostats. This process scientifically and rationally determines the number of devices to be installed based on the actual carrying capacity of the area and the power parameters of the devices, optimizing the utilization of resources in the installation area and providing precise quantitative guidance for heliostat installation planning. This process is suitable for automated planning of heliostat installation quantities in large-scale power facility construction, reducing errors in manual estimation and improving planning efficiency and accuracy.

[0083] Furthermore, in this embodiment, the above-mentioned “determining array points that meet the screening conditions based on the elevation value of each point” may further include the following steps:

[0084] Calculating the difference between the elevation values of adjacent corresponding points for all array points, and based on each obtained first point difference, aggregating all array points whose corresponding elevation values are less than a preset first difference into a point screening group;

[0085] The difference between the corresponding point elevation values of each pair of all array points located in the point screening group is calculated, and based on each obtained second point difference, all array points corresponding to the points less than the preset second difference are determined to meet the screening condition.

[0086] For example, in this embodiment, the determination of array points that meet the screening conditions can be achieved based on the following process:

[0087] First, the difference in elevation between adjacent corresponding points of all acquired array points can be calculated to obtain each first point difference. Furthermore, based on the first point difference, all array points with elevations less than the preset first difference are aggregated into a point screening group. By preliminarily filtering adjacent points with large terrain fluctuations, a relatively flat candidate point set is formed, providing a basis for accurate screening of the heliostat installation area.

[0088] Next, the difference between the corresponding point elevation values of all array points located in the point screening group can be calculated to obtain each second point difference. Based on the second point difference, all array points corresponding to the points less than the preset second difference are determined to meet the screening conditions.

[0089] Based on the above, it can be seen that this embodiment can further exclude points with excessive local terrain fluctuations within the point screening group through two-level elevation difference screening, ensuring that the array points finally screened are located in an area where the terrain height consistency meets the standard. This can effectively reduce the difficulty of foundation treatment during heliostat installation and the stability risk during subsequent operation. It provides a reliable point foundation for subsequent array planning and installation layout of heliostats based on stable terrain conditions, realizes automated and accurate screening of high-quality installation points within the installation area, and improves the scientific nature and efficiency of heliostat installation planning in power facility construction.

[0090] In step S102, the following contents are included:

[0091] A power warning area is generated based on the center point of the installation area, and each annular planning area is formed layer by layer around the power warning area with the power warning area as the center.

[0092] For example, in this embodiment, since the heliostat generates corresponding electricity based on the reception of light during operation, in order to prevent certain safety hazards, the corresponding regional center point can be determined based on the installation area, so that the corresponding power warning area is generated with the regional center point as the center of the circle. It can be explained that the power warning area can be used to construct a corresponding warning lighthouse in the subsequent process. The warning lighthouse is mainly used to emit warning lights with a large light intensity to prevent other unrelated personnel or corresponding wild animals from approaching and causing corresponding safety accidents. Further, after completing the planning of the power warning area, a ring-shaped planning area can be formed layer by layer around the power warning area with the power warning area as the center. Among them, the ring-shaped planning area is mainly used for planning the corresponding placement sub-area in the subsequent process, and the placement sub-area is used to install and set up the heliostat.

[0093] In step S103, the following contents are included:

[0094] In response to forming any annular planning area, performing area planning on the annular planning area to obtain placement sub-areas for placing the heliostats, and in response to the cumulative number of areas corresponding to all placement sub-areas obtained being no less than the estimated installation quantity, stopping the formation of the annular planning area.

[0095] For example, based on the above content, it can be seen that each annular planning area is formed based on the power warning area. In this embodiment, after the formation of any annular planning area is completed, the corresponding placement sub-area will be planned based on the annular planning area, and the number of areas where the sub-areas are placed will be accumulated. When it is determined that the number of areas obtained is not less than the estimated installation number, it indicates that the current planning target has been completed. At this time, the formation of the new annular planning area can be stopped; when the estimated installation number is 5,000, when the accumulated number of corresponding placement sub-areas is less than 5,000 (for example, 4,500), a new annular planning area needs to be formed for another area planning; and when the accumulated number of corresponding placement sub-areas is greater than 5,000 (for example, 5,100), there is no need to form a new annular planning area, that is, the corresponding area planning process has been completed.

[0096] Furthermore, in this embodiment, the above-mentioned "response to forming any annular planning area, performing area allocation on the annular planning area to obtain placement sub-areas for placing the heliostats" may further include the following steps:

[0097] Taking the center point of the area as the origin, establish a real coordinate system corresponding to the installation area, and use the X-axis of the real coordinate system as the horizontal centerline and the Y-axis as the vertical centerline, respectively, to generate a horizontal aisle area and a vertical aisle area extending along the X-axis and the Y-axis;

[0098] In response to forming any annular planning area, determining each independent area located in the annular planning area and not overlapping with the transverse aisle area and the longitudinal aisle area;

[0099] generating an independent centerline based on an outer diameter contour line and an inner diameter contour line corresponding to the same independent area, and retrieving an on-device visual contour corresponding to the heliostat;

[0100] Any end point of the line segment corresponding to the independent center line is determined as the sliding starting point, and the other end point of the line segment is determined as the sliding ending point. The visible contour on the device is controlled to slide from the sliding starting point to the sliding ending point in such a way that the center point of the contour of the device coincides with the sliding starting point, thereby forming the independent area and each placement sub-area with a preset spacing between adjacent areas.

[0101] For example, in this embodiment, a placement sub-area for placing heliostats may be formed based on each formed annular planning area according to the following specific process:

[0102] First, a real coordinate system can be established with the center point of the installation area as the origin. The X-axis and Y-axis of the coordinate system are used as the horizontal centerline and the vertical centerline, respectively. A horizontal aisle area extending along the X-axis and a vertical aisle area extending along the Y-axis are generated. By constructing an orthogonal aisle network, a reference framework is provided for subsequent equipment installation and operation and maintenance channel planning. It can be noted that the area specifications of the horizontal aisle area and the vertical aisle area can be pre-set, and their corresponding sizes are not specifically limited in this embodiment.

[0103] Then, in response to the formation of any ring-shaped planning area, independent areas within the ring-shaped planning area that do not overlap with the horizontal aisle area and the vertical aisle area are identified. By excluding the space occupied by the aisles, the effective area available for equipment placement is accurately defined, ensuring the reasonable separation of the fixed-day equipment installation space and the operation and maintenance channels, and avoiding conflicts between subsequent equipment layout and traffic requirements.

[0104] Next, for the same independent area, an independent centerline is generated based on its outer and inner diameter contours. The device-viewing contour of the heliostat is retrieved. By extracting the regional geometric features and device shape parameters, a geometric reference is provided for the positioning and layout of the device, ensuring the compatibility of the device arrangement direction with the regional morphology. It can be explained that the device-viewing contour can be understood as the contour obtained by the heliostat based on the upward perspective.

[0105] Finally, one end point of the independent centerline is set as the sliding starting point, and the other end is set as the sliding ending point. The upper-view contour of the control device is slid along the independent centerline to the sliding ending point in such a way that its contour center point coincides with the sliding starting point, forming an arrangement structure with preset spacing between adjacent placement sub-areas. Through the sliding positioning method based on the device shape, the automatic and uniform layout of the heliostat devices in the independent area is achieved, ensuring that the device spacing meets the installation specifications and operational safety requirements, improving the space utilization and equipment arrangement efficiency of the installation area, and providing a precise placement sub-area division scheme for the automated planning of large-scale heliostat arrays.

[0106] For example, Figure 2 The schematic diagram of the planning formed after the regional planning of the erection area in this embodiment is shown, wherein based on Figure 2 From the content, it can be seen that there are two ring-shaped planning areas, and the first ring-shaped planning area includes 8 placement sub-areas, and the second ring-shaped planning area includes 20 placement sub-areas.

[0107] In addition, the planning of placement sub-areas is performed based on different independent areas. It can be explained that, since different annular planning areas have different area specifications, different remaining space conditions may exist in the planning process of placement sub-areas of the same area specifications based on each annular planning area. In order to improve the space utilization rate of each annular planning area, the following steps may be further included in this embodiment:

[0108] Determine a placement sub-region adjacent to the sliding end point in each independent region as an edge sub-region, and obtain a point distance between a contour center point corresponding to the edge sub-region and the sliding end point based on the independent center line;

[0109] In response to the point distance being greater than a preset first spacing and less than a preset second spacing, controlling all placement sub-areas located in the independent area to slide along the independent center line toward the sliding end point by a distance corresponding to half the point distance;

[0110] In response to the point distance being greater than a preset second spacing, the contour center point corresponding to each placement center point and the sliding start point and the sliding end point corresponding to the independent center line are respectively determined as placement division points;

[0111] Obtain the spacing between adjacent placement points, and calculate the mean of all the obtained point spacings to obtain the point mean;

[0112] Based on the independent center line, the extension direction from the sliding end point to the sliding start point is determined as the adjustment direction, and based on the adjustment direction, the placement division points of each placement sub-area are slidingly operated in turn to adjust the point spacing of the placement division points in adjacent positions to the point average.

[0113] For example, in this embodiment, the adjustment process for each formed placement sub-area can be implemented based on the following specific process:

[0114] First, the placement sub-area adjacent to the sliding end point in each independent area is identified as an edge sub-area. The distance between the center point of the edge sub-area's contour and the sliding end point is obtained based on the independent centerline. By accurately locating the spacing parameters of the edge area, a data basis is provided for subsequent differentiated adjustments. This approach is suitable for spacing optimization scenarios at the edge of a heliostat array, avoiding installation deviations or maintenance inconveniences caused by abnormal spacing of edge devices.

[0115] Then, the point distance can be compared with the preset first spacing and the preset second spacing respectively;

[0116] In one case, in response to the point distance being between a preset first spacing and a preset second spacing, all placement sub-areas within the independent area are controlled to slide simultaneously along the independent center line toward the sliding end point by half the distance of the point distance. That is, when the point distance is small, a corresponding half-value sliding strategy can be used to avoid exceeding the edge spacing limit while maintaining a uniform distribution of the overall placement sub-areas, thereby reducing the difficulty of edge adaptation during equipment installation and improving the overall planning neatness.

[0117] In another case, in response to the point distance being greater than a preset second spacing, the contour center points of each placement sub-area and the sliding start and end points of the independent centerline are determined as placement division points. The spacings between adjacent placement division points are collected and averaged to obtain a point mean. That is, when the point distance is large, a mean calculation mechanism can be introduced to establish a unified benchmark for spacing adjustment in irregular edge areas, ensuring layout standardization under complex boundary conditions. After obtaining the point mean, the direction from the sliding end point to the sliding start point of the independent centerline can be further determined as the adjustment direction. The placement division points of each placement sub-area are slid along this direction so that the spacings between adjacent placement division points are adjusted to the point mean. Through directional uniform adjustment, automated layout optimization is achieved in scenarios where edge spacing exceeds the limit, ensuring the equal spacing of heliostat equipment within the independent area, improving the space utilization of the installation area and the mechanical stability of the equipment layout. This is suitable for automatic equipment layout planning under complex boundary conditions in large-scale heliostat fields, ensuring installation accuracy and convenient subsequent operation and maintenance.

[0118] After completing the regional planning for the heliostat equipment based on the above-mentioned technical solution, each heliostat equipment can be installed and erected based on the obtained placement sub-area. Before installation and erection, in order to help construction personnel clearly understand the installation location of each heliostat equipment, that is, the relevant location of the placement sub-area, each placement sub-area obtained based on the regional planning can be marked by a marking construction end using a real marking line. After completing the marking of each placement sub-area, it is convenient for the construction end to place the heliostat equipment in the corresponding placement sub-area. The corresponding method steps can include the following:

[0119] In response to stopping the formation of the annular planned area, establishing a regional model corresponding to the erection area based on digital twin technology, wherein the regional model includes an annular virtual area corresponding to each annular planned area;

[0120] Sending the regional model to a marking construction end for display, so that the marking construction end forms a real marking line for marking the annular planning area based on the regional model;

[0121] In response to receiving a construction completion signal sent by the marking construction end, the drone is controlled to fly to the erection area to collect images of each ring-shaped planned area to obtain a regional collection map;

[0122] performing image recognition on the area acquisition image, and determining an image marking line indicating the real marking line located in the area acquisition image based on a recognition result;

[0123] Determine the virtual marking lines constituting each annular virtual area, and compare the image marking lines corresponding to the same annular planning area with the virtual marking lines;

[0124] In response to determining that the construction attributes of all the ring-shaped planning areas are qualified attributes based on the comparison result, a device placement signal is sent to the placement construction end, so that the placement construction end places the heliostat in each ring-shaped planning area.

[0125] For example, in this embodiment, the specific process of forming a corresponding real marking line based on each annular planning area can be implemented based on the following content:

[0126] First, in response to stopping the formation of the ring planning area, a regional model corresponding to the erection area can be constructed based on digital twin technology, wherein the regional model includes a ring virtual area corresponding to each ring planning area. Here, digital mapping technology is used to provide a high-precision virtual reference for subsequent construction verification, ensuring the consistency between virtual planning and actual construction.

[0127] Then, the regional model can be sent to the marking construction end for visual display, so that the marking construction end can form a corresponding real marking line in the real site based on the annular virtual area in the regional model, and realize the on-site implementation of the planning scheme through virtual-reality mapping technology, providing intuitive physical boundary guidance for construction personnel, and effectively reducing the error rate of manual marking and the difficulty of implementing the planning scheme. It can be explained that the marking construction end can be understood as the terminal used by the construction personnel assigned the marking task, wherein the formation of the real marking line can be achieved based on spraying paint or spreading lime powder.

[0128] Then, after receiving the construction completion signal sent by the marking construction end, which indicates that the marking construction end has completed the formation of all actual marking lines, the server can control the drone to fly to the installation area, collect images of each circular planning area, and obtain the area collection map containing the actual marking lines. In other words, the high-altitude perspective and automated inspection capabilities of the drone can be used to achieve non-contact rapid inspection of the completed construction area, thereby improving the efficiency and safety of the construction verification process.

[0129] Subsequently, image recognition processing is performed on the regional acquisition image, and image marking lines indicating real marking lines are extracted based on the recognition results. The physical markings are converted into quantifiable digital information through image processing technology, providing a data basis for subsequent comparative analysis with virtual marking lines, ensuring the objectivity and accuracy of the detection process. It can be explained that image recognition of the regional acquisition image can be performed based on machine learning models and neural network learning models.

[0130] Next, the virtual marking lines that make up each annular virtual area are determined, and the image marking lines corresponding to the same annular planning area are compared with the virtual marking lines. Through geometric feature matching and deviation analysis, the consistency between the actual construction and the virtual planning is verified, ensuring that the actual construction of the annular planning area meets the design standards.

[0131] Finally, in response to the comparison results showing that the construction attributes of all circular planning areas are qualified attributes, an equipment placement signal is sent to the placement construction terminal, enabling the placement construction terminal to accurately place the fixed-day equipment based on the qualified circular planning areas. It can be explained that the placement construction terminal can be understood as the terminal used by the construction personnel assigned to the placement task; here, an automated verification mechanism is used to ensure that the equipment is installed in an area that meets the planning requirements, avoiding equipment layout confusion or subsequent operation and maintenance problems caused by construction deviations, and realizing closed-loop control of the entire process from planning to construction to equipment placement.

[0132] Furthermore, in this embodiment, the above-mentioned "determining the virtual marking lines constituting each annular virtual area, and performing line segment comparison between the image marking lines corresponding to the same annular planned area and the virtual marking lines" may further include the following steps:

[0133] Determining virtual marking lines constituting each annular virtual area based on the area model, wherein the virtual marking lines include a contour marking line corresponding to the virtual environment area and an area marking line corresponding to each placement sub-area;

[0134] Comparing the contour marking line and the virtual marking line corresponding to the same annular planning area, and determining a first comparison score based on the obtained first comparison result;

[0135] Performing a line segment comparison between each area marking line corresponding to the same annular planning area and the virtual marking line, and determining a second comparison score based on the obtained second comparison result;

[0136] A weighted summation is performed on the first comparison score and the second comparison score, and in response to the obtained comprehensive score being greater than a preset score, the construction attribute of the annular planning area is determined to be a qualified attribute, otherwise it is determined to be a defective attribute.

[0137] For example, in this embodiment, after the annular virtual area corresponding to the annular planning area is determined based on the area model, the image marking line corresponding to the same annular planning area can be compared with the virtual marking line to implement marking verification at the marking construction end. The corresponding method steps can be described as follows:

[0138] First, the geometric parameters of each annular virtual area can be analyzed based on the regional model to determine a virtual marker line composed of contour markers and area markers. The contour marker line defines the outer boundary of the annular planning area, and the area marker line corresponds to the positioning boundary of each sub-area. By clarifying the dual-layer structure of the virtual marker line (contour layer and sub-area layer), an accurate virtual reference benchmark is provided for multi-dimensional construction verification, which is suitable for dual-precision verification of the annular area boundary and sub-area positioning.

[0139] Then, the contour marking lines formed by image recognition extraction of the actual marking lines of the same annular planning area are compared with the contour marking lines in the virtual marking lines. Based on the first comparison results such as the geometric coincidence and position deviation between the two, a first comparison score representing the construction accuracy of the area boundary is quantitatively generated. By comparing the contour layers, it is ensured that the actual boundary of the annular planning area is consistent with the design plan, avoiding problems such as insufficient equipment installation space or aisle blockage caused by boundary deviation.

[0140] Next, a line-by-line comparison is performed between the actual marking lines (i.e., image marking lines) of each placement sub-area within the same circular planning area and the corresponding area marking lines in the virtual marking lines. Based on the second comparison results, such as the line segment overlap rate and spacing uniformity, a second comparison score is generated to reflect the sub-area positioning accuracy. This detailed comparison at the sub-area level ensures that the placement of the heliostat equipment meets the preset layout requirements, reducing the risk of irregular equipment spacing or installation misalignment caused by factor area offsets.

[0141] Finally, the first and second comparison scores are weighted and summed according to preset weights to obtain a comprehensive score that comprehensively reflects the construction quality of the ring-shaped planning area. When the comprehensive score is greater than the preset score, the construction attributes of the area are judged to be qualified, otherwise it is a defect. Through hierarchical scoring and weighted calculation mechanisms, a quantitative and systematic evaluation of the construction quality of the ring-shaped planning area is achieved, providing an objective basis for the construction quality acceptance before the installation of the fixed-height equipment, ensuring that the boundary size and sub-area positioning of each ring area in the large-scale array layout meet the automation planning and design standards, and improving the construction accuracy and consistency of the overall erection project.

[0142] On the one hand, in this embodiment, the above-mentioned "comparing the contour marking line corresponding to the same annular planning area with the virtual marking line, and determining the first comparison score based on the obtained first comparison result" may further include the following steps:

[0143] Acquire each contour pixel point constituting the contour marking line and each virtual pixel point constituting the virtual marking line;

[0144] Compare each contour pixel with each virtual pixel, and group the contour pixels that do not overlap with any virtual pixel into a difference pixel group;

[0145] Obtaining the number of pixels corresponding to all contour pixels in the difference pixel group, and obtaining a quantity difference score of a corresponding quantity dimension based on the number of pixels;

[0146] Establishing a difference connecting line connecting the center point of the region and each contour pixel point located in the difference pixel group, and obtaining a difference line segment length corresponding to each difference connecting line;

[0147] Calculate the difference between the length of the corresponding maximum difference line segment and the length of the corresponding minimum difference line segment, and obtain the deviation difference score of the corresponding deviation dimension based on the obtained difference line segment difference;

[0148] The quantity difference score and the deviation difference score are fused and calculated to obtain the first comparison score.

[0149] For example, in this embodiment, obtaining the first comparison score may be specifically implemented based on the following process:

[0150] First, every pixel that makes up the outline marker line and every virtual pixel that makes up the corresponding virtual marker line are acquired. This pixel-level data acquisition provides basic data for high-precision comparison. This approach is suitable for verifying the boundaries of circular planning areas with millimeter-level accuracy required for heliostat installation, ensuring that the geometric features of the real marker line and the virtual design can be quantified and compared.

[0151] Then, each contour pixel is compared with the virtual pixel point by point, and the contour pixels that do not overlap with any virtual pixel point are further aggregated into a difference pixel group. By accurately screening non-overlapping pixels, the specific difference points between the real marking line and the virtual marking line are located, providing a precise coordinate reference for construction deviation analysis.

[0152] Next, the number of contour pixels in the difference pixel group can be counted. Based on the negative correlation between the number of pixels and construction accuracy, a quantitative difference score reflecting the coincidence of the marking lines can be generated (for example, the fewer the number of pixels, the higher the score). This quantitative dimension quantifies the overall degree of coincidence of the boundary markings and quickly identifies large areas of deviation.

[0153] Subsequently, a difference connecting line is established between the center point of the region and each contour pixel point in the difference pixel group. The segment length of each difference connecting line is collected, and the difference between the maximum and minimum difference segment lengths is calculated. Based on this difference, a deviation difference score is generated to reflect the degree of deviation of the marking line (for example, the smaller the difference, the higher the score). The uniformity of the boundary marking is evaluated through the spatial distance dimension to avoid abnormal equipment installation space caused by local extreme deviations.

[0154] Finally, the quantity difference score and the deviation difference score are fused and calculated according to preset weights to obtain a first comparative score that comprehensively reflects the construction accuracy of the contour marking line. Through the coupled evaluation of two-dimensional indicators, a comprehensive quantitative analysis of the boundary marking quality of the ring planning area is achieved, providing a scientific basis for boundary compliance verification before the installation of the heliostat equipment, ensuring that the actual boundaries of each ring area in the large-scale array layout are highly consistent with the virtual design, and avoiding the risk of equipment arrangement conflicts or obstruction of operation and maintenance channels caused by boundary deviations.

[0155] On the other hand, in this embodiment, the above-mentioned “comparing each area marking line corresponding to the same annular planning area with the virtual marking line and determining a second comparison score based on the obtained second comparison result” may further include the following steps:

[0156] Compare the line segments of each area marking line corresponding to the same annular planning area with the virtual marking line, and calculate the average value based on the obtained overlap rate of each line segment to obtain the overlap mean;

[0157] In response to any line segment overlap ratio being less than one, determining the region marking line corresponding to the line segment overlap ratio as a defect marking line;

[0158] Determining the number of line segments of all defect marking lines included in the same annular planning area, and determining a numerical adjustment coefficient based on the number of line segments;

[0159] The overlap mean is downwardly adjusted based on the numerical adjustment coefficient, and a second comparison score is determined based on the obtained updated mean.

[0160] For example, in this embodiment, obtaining the second comparison score may be specifically implemented based on the following process:

[0161] First, each regional marker line within the same circular planning area is compared line by line segment with the corresponding virtual marker line. The overlap ratio of each pair of line segments (i.e., the ratio of overlap in the length direction between the real marker line and the virtual marker line) is calculated. The average of all the line segment overlap ratios is then calculated to obtain the average overlap value, which reflects the overall consistency of the regional marker lines. This quantitative overlap provides a basic evaluation indicator for the positioning accuracy of the heliostat placement sub-area.

[0162] Then, in response to any line segment overlap rate being less than 1 (i.e., there are non-overlapping line segments), the corresponding area marking line is determined to be a defective marking line. By accurately identifying the boundaries of sub-areas with positioning deviations, a basis is provided for subsequent targeted adjustments, avoiding equipment installation misalignment or irregular spacing caused by local marking deviations.

[0163] Next, the number of defect marking line segments within the same circular planning area is counted. Based on the negative correlation between the number of defects and construction quality, a numerical adjustment coefficient is determined (for example, the greater the number of defects, the larger the adjustment coefficient). By establishing a quantitative correlation between the number of defects and the score adjustment, a scientific assessment of the impact of construction deviations can be achieved.

[0164] Finally, based on the numerical adjustment coefficient, the coincidence mean is adjusted downward (for example, by deducting the score in a linear or nonlinear manner) to obtain a second comparative score reflecting the comprehensive construction accuracy of the regional marking line. By incorporating the impact of local defects into the overall scoring system, it is ensured that the scoring result reflects both the overall consistency and the cumulative effect of local deviations. This provides an objective and comprehensive quantitative standard for the positioning accuracy acceptance of the sub-area where the heliostat equipment is placed, ensuring that each equipment installation location in the installation area meets the requirements of automation planning and design, and reducing equipment installation errors and subsequent operation and maintenance costs caused by marking line deviations.

[0165] In addition, it can be explained that in the above-mentioned technical solution, the construction attribute of the corresponding annular planning area can be determined by comparing the image identification line corresponding to the same annular planning area with the virtual marking line. When there is an annular planning area whose corresponding construction attribute is a defective attribute, it means that the annular planning area needs to be corrected to convert the defective attribute into the corresponding qualified attribute. In order to enable the corresponding construction personnel to quickly determine the annular planning area corresponding to the defective attribute, in this embodiment, the following method steps can be further included:

[0166] In response to determining that the construction attributes of any annular planning area are defective attributes based on the comparison result, the annular virtual area corresponding to the annular planning area is determined as a marked virtual area based on the area model;

[0167] Taking the power warning area as a starting point, sorting each annular planned area surrounding the power warning area, and determining the area sequence number of the corresponding marked virtual area based on the obtained area sequence;

[0168] Determining a power virtual area corresponding to the power warning area based on the area model, and establishing a serial number filling slot and an image filling slot based on the power virtual area;

[0169] Determining different marking colors corresponding to the same number based on the number of marks corresponding to all marking virtual areas, and establishing a color correspondence between each marking virtual area and the different marking colors;

[0170] Filling the area serial number and the area upper view corresponding to each marked virtual area into the serial number filling slot and the image filling slot respectively, and configuring the serial number filling slot to cyclically display each area serial number for a preset display time;

[0171] In response to the serial number filling slot, any area serial number is displayed, and the area serial number and the power virtual area corresponding to the area serial number are rendered in color based on a mark color that has a color correspondence relationship with the area serial number.

[0172] For example, in this embodiment, marking of the annular planning area corresponding to the defect attribute may be specifically implemented based on the following content:

[0173] First, based on the comparison results, if the construction attribute of any annular planning area is determined to be a defective attribute, the corresponding annular virtual area is marked as a marked virtual area based on the regional model. Here, by accurately locating the construction deviation area, a digital twin-level identification foundation can be provided for subsequent visual tracing and rectification of the problem area.

[0174] Then, taking the power warning area as the starting point for spatial sorting, all the ring-shaped planning areas distributed layer by layer around it are arranged from the inside to the outside or from the outside to the inside to form an area sequence. Based on this sequence, the unique area number corresponding to the marked virtual area is determined. By establishing a hierarchical area sequence with the power warning area as the core, orderly management of multi-layer ring-shaped planning areas is achieved, facilitating hierarchical tracing and location of construction problems.

[0175] Next, a power virtual area corresponding to the power warning area can be further extracted based on the area model, and a serial number filling slot for displaying the area serial number and an image filling slot for displaying the area top view image can be established in the virtual area. The serial number filling slot and the image filling slot can be understood as corresponding information display carriers. By constructing the information display carrier in the power virtual area, a layout framework can be provided for the centralized visualization of construction deviation information.

[0176] Subsequently, an equal number of different marking colors (such as red, yellow, and blue) are determined based on the number of all marked virtual areas. A color correspondence is established between each marked virtual area and its corresponding area number. Through color coding technology, different defect areas can be differentiated and identified, avoiding confusion of deviation information in multiple areas and improving the efficiency of construction workers in identifying problem areas.

[0177] Next, the area serial number of each marked virtual area and its corresponding area upper view are filled into the serial number filling slot and image filling slot respectively. The serial number filling slot is configured to cyclically display the area serial number according to the preset display time (such as 5 seconds / each). Through the dynamic cyclic display mechanism, it is ensured that all construction defect areas can receive periodic attention to avoid rectification omissions;

[0178] Finally, when the serial number filling slot displays any area serial number, the server can automatically call the mark color associated with the serial number, and synchronously render the displayed area serial number and the corresponding power virtual area (for example, the serial number "3" corresponds to red, and the edge of the power virtual area is synchronously displayed in red highlight). Through the dual association of spatial position and color characteristics, an intuitive warning sign of defective area is formed in the digital twin model, which helps construction personnel quickly locate the circular planning area that needs rectification, improves the rectification efficiency and accuracy of problem areas in the installation of fixed-day equipment, and realizes full-process visual control of the execution process of the automated planning scheme.

[0179] In summary, this embodiment significantly improves the scientificity and efficiency of heliostat installation planning through systematic regional planning and equipment layout strategies. In the process of determining the installation area, the elevation detection and double-layer screening mechanism of the array points are used to accurately identify installation areas with flat terrain and qualified areas, ensuring that the heliostat equipment is installed on stable terrain, reducing foundation treatment costs and equipment operation risks, and through quantitative calculation based on the installation area and equipment power, the estimated installation quantity is made consistent with the actual carrying capacity, avoiding resource waste or over-dense equipment layout; in the process of generating and dividing the ring planning area, the ring planning area is constructed layer by layer with the power warning area as the center, combined with the existing The reservation of real coordinate systems and aisle areas enables a reasonable separation between equipment layout and operation and maintenance channels. Through the sliding positioning of the equipment's upper visual contour along the independent center line, placement sub-areas with standardized spacing are formed in each annular area to ensure the uniformity of equipment arrangement and space utilization. By setting stop conditions (the cumulative number of placement sub-areas ≥ the estimated number of installations), the planning process is ensured to terminate automatically, avoiding over-planning and improving resource allocation accuracy. This effectively solves the problems of poor terrain adaptability, chaotic layout, low construction accuracy, and low planning efficiency in traditional methods, provides technical support for the efficient installation and stable operation of fixed-day equipment, and significantly improves the digitalization and precision of intelligent operation and maintenance of power systems.

[0180] Figure 3 Another embodiment of the present invention provides an intelligent operation and maintenance decision support platform for multi-source data fusion of electric power. Figure 3 As shown, the platform includes:

[0181] a quantity determination module configured to determine an installation area that meets the power installation conditions and determine an estimated installation quantity of corresponding helical devices based on the installation area;

[0182] The warning planning module is configured to generate a power warning area based on the center point of the installation area, and sequentially form each ring planning area around the power warning area with the power warning area as the center;

[0183] The placement planning module is configured to, in response to the formation of any annular planning area, perform area planning on the annular planning area to obtain placement sub-areas for placing heliostats, and stop forming the annular planning area in response to the cumulative number of areas corresponding to all the placement sub-areas being no less than the estimated number of installations.

[0184] In the description provided herein, the algorithms and displays are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems may also be used in conjunction with the examples of the present invention. Based on the above description, it is apparent that the structure required for constructing such systems is well understood. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages may be utilized to implement the present invention described herein, and the description of specific languages above is provided for the purpose of disclosing preferred embodiments of the present invention.

[0185] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0186] Similarly, it should be understood that in order to streamline the disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0187] Those skilled in the art will appreciate that the modules, units, or components of the devices in the examples disclosed herein may be arranged in the device described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or further divided into multiple submodules.

[0188] Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and installed in one or more devices different from the embodiments. The modules, units, or components in the embodiments can be combined into one module, unit, or component, and furthermore, they can be divided into multiple submodules, subunits, or subcomponents.

[0189] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features and not other features included in other embodiments, the combination of features from different embodiments is intended to be within the scope of the invention and to form different embodiments.

[0190] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions described. Thus, a processor having the necessary instructions for implementing the method or method element forms a device for implementing the method or method element. Furthermore, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0191] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved and are not intended to imply that the objects so described must have a given order in time, space, ranking, or in any other manner.

[0192] Although the present invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of the foregoing description, will appreciate that other embodiments are contemplated within the scope of the invention thus described. Furthermore, it should be noted that the language used in this specification has been selected primarily for readability and instructional purposes and is not selected to explain or limit the subject matter of the present invention.

Claims

1. An intelligent operation and maintenance decision support method based on multi-source data fusion for electric power, characterized in that: The following steps are involved: Determine an installation area that meets the power installation conditions, and determine an estimated installation quantity of corresponding heliostat equipment based on the installation area; Generate a power warning area based on the center point of the installation area, and sequentially form each ring planning area around the power warning area with the power warning area as the center; In response to forming any annular planning area, performing area planning on the annular planning area to obtain placement sub-areas for placing heliostats, and in response to a cumulative number of areas corresponding to all placement sub-areas obtained being no less than the estimated number of installations, stopping the formation of the annular planning area; In response to forming any annular planning area, the annular planning area is allocated to obtain placement sub-areas for placing the heliostats, including: Taking the center point of the area as the origin, establish a real coordinate system corresponding to the installation area, and use the X-axis of the real coordinate system as the horizontal centerline and the Y-axis as the vertical centerline, respectively, to generate a horizontal aisle area and a vertical aisle area extending along the X-axis and the Y-axis; In response to forming any annular planning area, determining each independent area located in the annular planning area and not overlapping with the transverse aisle area and the longitudinal aisle area; generating an independent centerline based on an outer diameter contour line and an inner diameter contour line corresponding to the same independent area, and retrieving an on-device visual contour corresponding to the heliostat; Any end point of the line segment corresponding to the independent center line is determined as the sliding starting point, and the other end point of the line segment is determined as the sliding ending point. The visible contour on the device is controlled to slide from the sliding starting point to the sliding ending point in such a way that the center point of the contour of the device coincides with the sliding starting point, thereby forming the independent area and each placement sub-area with a preset spacing between adjacent areas.

2. The intelligent operation and maintenance decision support method for power multi-source data fusion according to claim 1 is characterized in that: Determining an installation area that meets the power installation conditions, and determining an estimated number of corresponding heliostats to be installed based on the installation area, including: Perform array processing on the site to be explored, and perform elevation detection on each array point to obtain the elevation value of each point; Determine array points that meet the screening conditions based on the elevation value of each point, and connect adjacent array points to obtain initial areas; In response to the circular area of the inscribed circular area formed based on any of the initial areas being greater than a preset minimum area, the inscribed circular area is determined as a power installation area that meets the power installation conditions; The adapted total power is determined based on the installation area of the corresponding installation region, and the estimated installation quantity is obtained based on the ratio of the adapted total power to the equipment power of the corresponding heliostat equipment.

3. The intelligent operation and maintenance decision support method for power multi-source data fusion according to claim 2 is characterized in that: Determine array points that meet the screening conditions based on the elevation value of each point, including: Calculating the difference between the elevation values of adjacent corresponding points for all array points, and based on each obtained first point difference, aggregating all array points whose corresponding elevation values are less than a preset first difference into a point screening group; The difference between the corresponding point elevation values of each pair of all array points located in the point screening group is calculated, and based on each obtained second point difference, all array points corresponding to the points less than the preset second difference are determined to meet the screening condition.

4. The intelligent operation and maintenance decision support method for power multi-source data fusion according to claim 1 is characterized in that: The method further comprises: Determine a placement sub-region adjacent to the sliding end point in each independent region as an edge sub-region, and obtain a point distance between a contour center point corresponding to the edge sub-region and the sliding end point based on the independent center line; In response to the point distance being greater than a preset first spacing and less than a preset second spacing, controlling all placement sub-areas located in the independent area to slide along the independent center line toward the sliding end point by a distance corresponding to half the point distance; In response to the point distance being greater than a preset second spacing, the contour center point corresponding to each placement center point and the sliding start point and the sliding end point corresponding to the independent center line are respectively determined as placement division points; Obtain the spacing between adjacent placement points, and calculate the mean of all the obtained point spacings to obtain the point mean; Based on the independent center line, the extension direction from the sliding end point to the sliding start point is determined as the adjustment direction, and based on the adjustment direction, the placement division points of each placement sub-area are slidingly operated in turn to adjust the point spacing of the placement division points in adjacent positions to the point average.

5. The intelligent operation and maintenance decision support method for power multi-source data fusion according to claim 1 is characterized in that: The method further comprises: In response to stopping the formation of the annular planned area, establishing a regional model corresponding to the erection area based on digital twin technology, wherein the regional model includes an annular virtual area corresponding to each annular planned area; Sending the regional model to a marking construction end for display, so that the marking construction end forms a real marking line for marking the annular planning area based on the regional model; In response to receiving a construction completion signal sent by the marking construction end, the drone is controlled to fly to the erection area to collect images of each ring-shaped planned area to obtain a regional collection map; performing image recognition on the area acquisition image, and determining an image marking line indicating the real marking line located in the area acquisition image based on a recognition result; Determine the virtual marking lines constituting each annular virtual area, and compare the image marking lines corresponding to the same annular planning area with the virtual marking lines; In response to determining that the construction attributes of all the ring-shaped planning areas are qualified attributes based on the comparison result, a device placement signal is sent to the placement construction end, so that the placement construction end places the heliostat in each ring-shaped planning area.

6. The intelligent operation and maintenance decision support method for power multi-source data fusion according to claim 5 is characterized in that: Determine the virtual marking lines that constitute each annular virtual area, and compare the image marking lines corresponding to the same annular planning area with the virtual marking lines, including: Determining virtual marking lines constituting each annular virtual area based on the area model, wherein the virtual marking lines include a contour marking line corresponding to the annular virtual area and an area marking line corresponding to each placement sub-area; Comparing the contour marking line and the virtual marking line corresponding to the same annular planning area, and determining a first comparison score based on the obtained first comparison result; Performing a line segment comparison between each area marking line corresponding to the same annular planning area and the virtual marking line, and determining a second comparison score based on the obtained second comparison result; A weighted summation is performed on the first comparison score and the second comparison score, and in response to the obtained comprehensive score being greater than a preset score, the construction attribute of the annular planning area is determined to be a qualified attribute, otherwise it is determined to be a defective attribute.

7. The intelligent operation and maintenance decision support method for power multi-source data fusion according to claim 6 is characterized in that: Comparing the contour marking line and the virtual marking line corresponding to the same annular planning area, and determining a first comparison score based on the obtained first comparison result, including: Acquire each contour pixel point constituting the contour marking line and each virtual pixel point constituting the virtual marking line; Compare each contour pixel with each virtual pixel, and group the contour pixels that do not overlap with any virtual pixel into a difference pixel group; Obtaining the number of pixels corresponding to all contour pixels in the difference pixel group, and obtaining a quantity difference score of a corresponding quantity dimension based on the number of pixels; Establishing a difference connecting line connecting the center point of the region and each contour pixel point located in the difference pixel group, and obtaining a difference line segment length corresponding to each difference connecting line; Calculate the difference between the length of the corresponding maximum difference line segment and the length of the corresponding minimum difference line segment, and obtain the deviation difference score of the corresponding deviation dimension based on the obtained difference line segment difference; The quantity difference score and the deviation difference score are fused and calculated to obtain the first comparison score.

8. The intelligent operation and maintenance decision support method for electric power multi-source data fusion according to claim 6 is characterized in that: Comparing each area marking line corresponding to the same annular planning area with the virtual marking line, and determining a second comparison score based on the obtained second comparison result, including: Compare the line segments of each area marking line corresponding to the same annular planning area with the virtual marking line, and calculate the average value based on the obtained overlap rate of each line segment to obtain the overlap mean; In response to any line segment overlap ratio being less than one, determining the region marking line corresponding to the line segment overlap ratio as a defect marking line; Determining the number of line segments of all defect marking lines included in the same annular planning area, and determining a numerical adjustment coefficient based on the number of line segments; The overlap mean is downwardly adjusted based on the numerical adjustment coefficient, and a second comparison score is determined based on the obtained updated mean.

9. The intelligent operation and maintenance decision support method for power multi-source data fusion according to claim 5 is characterized in that: The method further comprises: In response to determining that the construction attributes of any annular planning area are defective attributes based on the comparison result, the annular virtual area corresponding to the annular planning area is determined as a marked virtual area based on the area model; Taking the power warning area as a starting point, sorting each annular planned area surrounding the power warning area, and determining the area sequence number of the corresponding marked virtual area based on the obtained area sequence; Determining a power virtual area corresponding to the power warning area based on the area model, and establishing a serial number filling slot and an image filling slot based on the power virtual area; Determining different marking colors corresponding to the same number based on the number of marks corresponding to all marking virtual areas, and establishing a color correspondence between each marking virtual area and the different marking colors; Filling the area serial number and the area upper view corresponding to each marked virtual area into the serial number filling slot and the image filling slot respectively, and configuring the serial number filling slot to cyclically display each area serial number for a corresponding preset display time; In response to the serial number filling slot, any area serial number is displayed, and the area serial number and the power virtual area corresponding to the area serial number are rendered in color based on a mark color that has a color correspondence relationship with the area serial number.

10. An intelligent operation and maintenance decision support platform for power multi-source data fusion, characterized by: include: a quantity determination module configured to determine an installation area that meets the power installation conditions and determine an estimated installation quantity of corresponding helical devices based on the installation area; The warning planning module is configured to generate a power warning area based on the center point of the installation area, and sequentially form each ring planning area around the power warning area with the power warning area as the center; a placement planning module configured to, in response to the formation of any annular planning area, perform area planning on the annular planning area to obtain placement sub-areas for placement of heliostats, and, in response to a cumulative number of areas corresponding to all the obtained placement sub-areas being no less than the estimated number of installations, stop forming the annular planning area; In response to forming any annular planning area, the annular planning area is allocated to obtain placement sub-areas for placing the heliostats, including: Taking the center point of the area as the origin, establish a real coordinate system corresponding to the installation area, and use the X-axis of the real coordinate system as the horizontal centerline and the Y-axis as the vertical centerline, respectively, to generate a horizontal aisle area and a vertical aisle area extending along the X-axis and the Y-axis; In response to forming any annular planning area, determining each independent area located in the annular planning area and not overlapping with the transverse aisle area and the longitudinal aisle area; generating an independent centerline based on an outer diameter contour line and an inner diameter contour line corresponding to the same independent area, and retrieving an on-device visual contour corresponding to the heliostat; Any end point of the line segment corresponding to the independent center line is determined as the sliding starting point, and the other end point of the line segment is determined as the sliding ending point. The visible contour on the device is controlled to slide from the sliding starting point to the sliding ending point in such a way that the center point of the contour of the device coincides with the sliding starting point, thereby forming the independent area and each placement sub-area with a preset spacing between adjacent areas.

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