An ecological restoration system and method for power transmission line projects

Abstract

The present application relates to the field of ecological restoration, and more particularly to an ecological restoration system and method for power transmission line engineering, comprising a data acquisition module, an extraction module, a first determination module, a second determination module, a determination module, a covering module, an adjustment module and a seeding module. The present application combines multi-dimensional data acquisition and dynamic adjustment to achieve efficient identification of soil defects along the power transmission line engineering and vegetation restoration. The system collects multi-dimensional data such as soil moisture, ground image and equipment vibration frequency in real time, provides comprehensive and accurate information for repair decision, dynamically adjusts the defect area threshold, and the system flexibly adapts to different construction stages and environmental conditions, avoids over-repair or omission, significantly improves the accuracy and efficiency of ecological restoration, and effectively solves the problem of unstable repair effect caused by insufficient accuracy of ecological restoration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ecological restoration, and in particular to an ecological restoration system and method for a power transmission line project. BACKGROUND

[0002] With the rapid development of power grid construction in China, especially the extension of power transmission and transformation projects to high altitudes, ecologically sensitive areas and uninhabited areas, the impact of power grid construction on the ecological environment has increasingly attracted attention. In recent years, State Grid Corporation of China has explicitly proposed to combine ecological protection with power grid construction, emphasizing reducing disturbance to the ecological environment during construction and actively carrying out ecological restoration after construction. However, ecological restoration of power grid construction still faces many challenges. On the one hand, traditional construction methods cause great damage to the structure and function of the ecological system, and the restored ecological system often has a single structure and low biodiversity; on the other hand, the application of ecological restoration technology in different ecologically fragile areas still needs to be adapted to local conditions, especially in areas with poor soil and complex terrain, vegetation restoration is more difficult.

[0003] The patent document with publication number CN117273366A discloses a method, system and device for vegetation restoration after power grid construction, which includes obtaining characteristic data of the original vegetation community of the area before power grid construction; the characteristic data includes the unit density, vertical height and growth rate of each indigenous plant; determining the Euclidean distance of the characteristic data of the original vegetation community and the characteristic data of the local indigenous plants; and determining the ecological restoration scheme according to the Euclidean distance using an improved weighted k-nearest neighbor classification algorithm; species composition is performed on the ecological restoration scheme for power grid construction land to construct the ecological restoration scheme for power grid construction land.

[0004] It can be seen that the vegetation restoration method, system and device after power grid construction have the following problems: the Euclidean distance and the improved weighted k-nearest neighbor algorithm are used to determine the ecological restoration scheme for power grid construction land, which is scientific but has technical limitations. The Euclidean distance treats the feature weights equally and is easily affected by data scale and high-dimensional data; the weighted k-nearest neighbor algorithm is complex to calculate, sensitive to noise and dependent on K value selection. In addition, the species composition scheme ignores ecological interaction and system heterogeneity, affecting the restoration effect and stability. SUMMARY

[0005] Therefore, the present application provides an ecological restoration system and method for a power transmission line project to overcome the problem of unstable restoration effect caused by insufficient ecological restoration accuracy in the prior art by combining multi-dimensional data acquisition and dynamic adjustment.

[0006] To achieve the above-mentioned purpose, on the one hand, the present application provides an ecological restoration system for a power transmission line project, which comprises:

[0007] a data collection module, configured to collect real-time ground images of each construction area in a construction process, real-time vibration frequencies of equipment, and real-time soil moistures along a construction route;

[0008] an extraction module, connected with the data collection module, configured to extract real-time soil defect areas, real-time soil defect positions, and real-time terrain heights of the real-time ground images;

[0009] a first determination module, connected with the extraction module, configured to determine a plurality of first temporary areas according to the real-time soil defect areas and a preset defect area threshold;

[0010] a second determination module, connected with the data collection module, the extraction module, and the first determination module respectively, configured to determine a plurality of second temporary areas according to soil defect areas and real-time vibration frequencies of each of the first temporary areas;

[0011] a determination module, connected with the extraction module and the second determination module respectively, configured to determine a plurality of vegetation restoration areas according to the real-time soil defect positions of each of the second temporary areas;

[0012] a covering module, connected with the determination module, configured to cover the plurality of vegetation restoration areas with soil moisture membranes;

[0013] an adjustment module, connected with the data collection module and the covering module respectively, configured to adjust the preset defect area threshold to form an adjusted defect area threshold according to the real-time soil moistures within a preset adjustment time period after the soil moisture membranes are covered;

[0014] a seeding module, connected with the covering module and the adjustment module respectively, configured to seed according to real-time terrain heights of vegetation restoration areas determined based on the adjusted defect area threshold.

[0015] Further, the first determination module comprises:

[0016] a defect area comparison unit, configured to compare the real-time soil defect areas with the preset defect area threshold to form a defect area comparison result;

[0017] a first determination unit, connected with the defect area comparison unit, configured to determine each of the construction areas as a first temporary area when the defect area comparison result is that the real-time soil defect area is greater than the preset defect area threshold, to determine the plurality of first temporary areas.

[0018] Further, the second determination module comprises:

[0019] The defect area fluctuation calculation unit is configured to calculate a standard deviation of all the real-time soil defect areas within a preset determination period, to form a defect area fluctuation value.

[0020] The vibration frequency fluctuation calculation unit is configured to calculate a standard deviation of all the real-time vibration frequencies within the preset determination period, to form a vibration frequency fluctuation value.

[0021] The second determination unit is connected with the defect area fluctuation calculation unit and the vibration frequency fluctuation calculation unit respectively, and is configured to determine a plurality of second temporary areas according to the defect area fluctuation value and the vibration frequency fluctuation value.

[0022] Further, the second determination unit comprises:

[0023] The defect area curve drawing subunit is configured to draw a change curve of the defect area fluctuation value within the preset determination period, to form a defect area curve.

[0024] The vibration frequency curve drawing subunit is configured to draw a change curve of the vibration frequency fluctuation value within the preset determination period, to form a vibration frequency curve.

[0025] The synchronization degree calculation subunit is connected with the defect area curve drawing subunit and the vibration frequency curve drawing subunit respectively, and is configured to calculate a cosine similarity of the defect area curve and the vibration frequency curve, to form a change synchronization degree.

[0026] The second determination subunit is connected with the synchronization degree calculation subunit, and is configured to determine that vegetation restoration needs to be performed when the change synchronization degree is greater than a preset synchronization degree threshold, to determine a plurality of second temporary areas.

[0027] Further, the determination module comprises:

[0028] The distribution density calculation unit is configured to calculate a standard deviation of all the real-time soil defect positions in each of the second temporary areas, to form a distribution density.

[0029] The determination unit is connected with the distribution density calculation unit, and is configured to determine that the second temporary area is the vegetation restoration area when the distribution density is greater than a preset distribution density threshold, to form a plurality of vegetation restoration areas.

[0030] Further, the adjustment module comprises:

[0031] The humidity fluctuation calculation unit is configured to calculate a standard deviation of the real-time soil humidity, to form a humidity fluctuation value.

[0032] an adjusting unit, connected with the humidity fluctuation calculating unit, for adjusting the preset defect area threshold according to the humidity fluctuation value and a preset humidity fluctuation value threshold, to form an adjusted defect area threshold.

[0033] Further, the adjusting unit comprises:

[0034] a humidity fluctuation comparison sub-unit, for comparing the humidity fluctuation value and the preset humidity fluctuation value threshold, to form a humidity comparison result;

[0035] an adjusting sub-unit, connected with the humidity fluctuation comparison sub-unit, for, when the humidity comparison result is that the humidity fluctuation value is greater than the preset humidity fluctuation value threshold, decreasing the preset defect area threshold according to a relative deviation of the humidity fluctuation value being greater than the preset humidity fluctuation value threshold and a preset first adjusting coefficient, to form the adjusted defect area threshold.

[0036] Further, the sowing module comprises:

[0037] a height difference calculating unit, for calculating a difference value of the real-time terrain height of preset adjacent sowing points in each of the vegetation restoration areas, to form a height difference;

[0038] a sowing unit, connected with the height difference calculating unit, for sowing according to the height difference.

[0039] Further, the sowing unit comprises:

[0040] a sowing amount calculating sub-unit, for calculating a sowing amount according to the height difference and a preset height difference range;

[0041] a sowing sub-unit, connected with the sowing amount calculating sub-unit, for sowing according to the sowing amount.

[0042] In another aspect, the present application also provides an ecological restoration method for power transmission line engineering, comprising:

[0043] collecting real-time ground images of each construction area in the construction process, real-time vibration frequencies of equipment and real-time soil humidity along the construction route;

[0044] extracting real-time soil defect areas, real-time soil defect positions and real-time terrain heights of the real-time ground images;

[0045] determining a plurality of first temporary areas according to the real-time soil defect areas and a preset defect area threshold;

[0046] determining a plurality of second temporary areas according to soil defect areas and real-time vibration frequencies of each of the first temporary areas;

[0047] According to the real-time soil defect position of each second temporary area, several vegetation restoration areas are determined;

[0048] A soil moisture film is covered on the several vegetation restoration areas;

[0049] The preset defect area threshold is adjusted according to the real-time soil moisture within a preset adjustment time period after the soil moisture film is covered, to form an adjusted defect area threshold;

[0050] Seeding is performed according to the real-time terrain height of the vegetation restoration area determined based on the adjusted defect area threshold.

[0051] Compared with the prior art, the beneficial effects of the present application are that, by means of dynamic monitoring and precise restoration, efficient identification and vegetation recovery of soil defects along the power transmission line engineering are realized. First, the system can collect multi-dimensional data such as soil moisture, ground image and equipment vibration frequency in real time, ensuring that the restoration decision is based on comprehensive and accurate information. Second, by dynamically adjusting the defect area threshold, the system can adapt flexibly according to different construction stages and environmental conditions, avoiding over-repair or omission, and significantly improving the accuracy and efficiency of ecological restoration. In addition, combined with the precise seeding method of terrain height, the success rate of vegetation recovery is further improved, providing a strong guarantee for the ecological restoration of the construction area. Overall, the system not only effectively reduces the impact of construction on the ecological environment, but also promotes the recovery of biological diversity, and solves the problem of unstable repair effect due to insufficient accuracy of ecological restoration.

[0052] Further, by comparing the real-time soil defect area with the preset defect area threshold and determining the first temporary area accordingly, the system can efficiently screen out soil defect areas that need to be repaired first. This threshold-based screening mechanism not only improves the targeting of ecological restoration, avoids waste of resources, but also ensures the efficiency and accuracy of the repair work. In addition, this method can quickly respond to soil defect problems that occur during construction, providing timely positioning and guidance for subsequent ecological restoration measures, thereby effectively improving the overall effect and efficiency of ecological restoration.

[0053] Further, by calculating the defect area fluctuation value and the vibration frequency fluctuation value within a preset time period, the system can dynamically monitor the changes of soil defects and the interference degree of construction equipment, and accurately screen out areas that are greatly affected by construction and need to be repaired first. This dynamic monitoring method not only improves the targeting and efficiency of ecological restoration, but also reduces the misjudgment caused by data noise or short-term fluctuations, ensuring that repair resources can be accurately invested and optimizing the overall effect of ecological restoration.

[0054] Further, by plotting the defect area curve and the vibration frequency curve and calculating their synchronization degree of change, the system can accurately identify the areas where the soil defects and vibration frequency change trends are highly consistent during construction. This synchronization-based determination method not only improves the accuracy of ecological restoration, avoiding the waste of repair resources caused by single indicator misjudgment, but also dynamically adapts to environmental changes in different construction stages, ensuring that the repair measures are more scientific and targeted.

[0055] Further, by calculating the distribution density and combining it with the preset distribution density threshold for determination, the system can accurately identify areas with high soil defect distribution density, thereby determining the specific range that needs vegetation restoration. This distribution density-based determination method not only improves the accuracy of ecological restoration, avoiding ineffective repair of defect scattered areas, but also optimizes resource allocation and reduces repair costs. At the same time, this method can dynamically adapt to the soil defect distribution characteristics of different construction areas, enhancing the flexibility and adaptability of the system, providing a scientific, efficient and economical solution for ecological restoration of power transmission line projects.

[0056] Further, by dynamically adjusting the defect area threshold based on humidity fluctuation, the system can more accurately respond to soil humidity changes under different environmental conditions. For example, in areas with large humidity fluctuations, adjusting the defect area threshold appropriately can avoid misjudgment caused by unstable humidity, thereby improving the accuracy and efficiency of ecological restoration. In addition, this method can also optimize resource allocation, reduce unnecessary repair work, and enhance the system's adaptability to complex environments.

[0057] Further, by comparing humidity fluctuations and dynamically adjusting the defect area threshold, the system can flexibly adjust the repair standard according to the actual changes in soil humidity. When humidity fluctuates greatly, appropriately reducing the defect area threshold can avoid misjudgment caused by unstable humidity, ensuring that ecological restoration measures are more accurate and scientific. This method not only improves the adaptability and stability of the system, but also optimizes resource allocation, reduces unnecessary repair work, and improves the overall effectiveness of ecological restoration.

[0058] Further, by calculating the real-time terrain height difference of the preset adjacent seeding points in the vegetation restoration area and seeding accordingly, this method can effectively improve the uniformity and accuracy of seeding, ensuring that seeds are evenly distributed under different terrain conditions, thereby enhancing the effectiveness of vegetation restoration. At the same time, this method can adapt to complex terrain, reduce seed waste, optimize resource utilization, and promote the recovery and stability of the ecological system by quickly establishing stable vegetation communities.

[0059] Further, by dynamically adjusting the seeding amount and accurately seeding through the height difference and the preset height difference range, the seeds can be uniformly distributed in complex terrain, resource waste is avoided, stable vegetation coverage is quickly established, soil and water loss is reduced, and the ecological restoration efficiency and quality are significantly improved, thereby providing strong support for ecological system recovery.

[0060] Further, by accurately positioning the repair area, dynamically adjusting the repair strategy, and optimizing the vegetation restoration effect, the efficiency and quality of the ecological restoration of the power transmission line project are effectively improved, resource waste and construction interference are reduced, and the stability and recovery capacity of the ecological system are enhanced. BRIEF DESCRIPTION OF DRAWINGS

[0061] Figure 1 FIG. 1 is a schematic diagram of an ecological restoration system for a power transmission line project according to an embodiment of the present application;

[0062] Figure 2 FIG. 3 is a determination logic diagram for determining a first temporary area by a first determination unit according to an embodiment of the present application;

[0063] Figure 3 FIG. 4 is a determination logic diagram for determining a second temporary area by a second determination unit according to an embodiment of the present application;

[0064] Figure 4 FIG. 5 is a flowchart of an ecological restoration method for a power transmission line project according to an embodiment of the present application. DETAILED DESCRIPTION

[0065] In order to make the objects and advantages of the present application clearer, the following further describes the present application with reference to embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0066] The preferred embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application and do not limit the protection scope of the present application.

[0067] On the one hand, referring to FIG. 1, which is a schematic diagram of an ecological restoration system for a power transmission line project according to an embodiment of the present application; Figure 1

[0068] The present embodiment provides an ecological restoration system for a power transmission line project, which comprises:

[0069] The data acquisition module is used to acquire real-time ground images of each construction area in the construction process, real-time vibration frequencies of equipment, and real-time soil moisture along the construction route;

[0070] The extraction module is connected with the data acquisition module and is used to extract real-time soil defect areas, real-time soil defect positions, and real-time terrain heights of the real-time ground images.​

[0071] a first determining module, connected with the extracting module, for determining a plurality of first temporary areas according to the real-time soil defect area and a preset defect area threshold;

[0072] a second determining module, connected with the data collecting module, the extracting module and the first determining module respectively, for determining a plurality of second temporary areas according to the soil defect area of each first temporary area and the real-time vibration frequency;

[0073] a judging module, connected with the extracting module and the second determining module respectively, for judging a plurality of vegetation restoration areas according to the real-time soil defect position of each second temporary area;

[0074] a covering module, connected with the judging module, for covering the plurality of vegetation restoration areas with soil moisture film;

[0075] an adjusting module, connected with the data collecting module and the covering module respectively, for adjusting the preset defect area threshold to form an adjusted defect area threshold according to the real-time soil moisture within a preset adjusting time period after covering the soil moisture film;

[0076] a sowing module, connected with the covering module and the adjusting module respectively, for sowing according to the real-time terrain height of the vegetation restoration area determined based on the adjusted defect area threshold.

[0077] The ground image collecting in the data collecting module can adopt a high-resolution camera, combined with a UAV or a vehicle-mounted device for dynamic shooting to obtain high-precision images of the construction area. The collecting of the device vibration frequency is realized through high-precision vibration sensors, which can monitor the vibration of the construction device in real time and transmit the data to the collecting module. The collecting of the soil moisture utilizes soil moisture sensors to measure the soil water content through reflection signals or electrical conductivity principles. Some researches also combine GNSS-R technology to realize high-precision soil moisture monitoring through inversion models. The collected data is processed through the analog-digital conversion circuit of the data collecting module and stored in the buffer memory, and then transmitted to the monitoring center through wireless or wired communication mode.

[0078] The extraction module first pre-processes the ground images, including denoising, correction, and image registration. Then, it uses image recognition techniques to extract texture features of soil defects, analyze soil structure stability and porosity. Combined with multispectral image calculation of vegetation index, it evaluates vegetation coverage and health status, and estimates soil organic matter content. In addition, through thermal imaging image analysis of temperature distribution, it estimates soil moisture, identifies drought and water-sufficient areas. Terrain height is obtained by generating a digital elevation model (DEM) or using Cesium technology to obtain the precise height of specified points.

[0079] The preset defect area threshold is a parameter for determining whether the soil defect area needs ecological restoration, which depends on the soil type of the construction area, vegetation restoration demand and ecological restoration target, usually set between 10 square meters to 100 square meters. In this embodiment, it is set to 50 square meters, which can effectively identify larger area of soil defect area, ensure the pertinence and efficiency of ecological restoration, and avoid excessive intervention to small area of natural disturbance area, so as to achieve the balance between ecological restoration and construction efficiency.

[0080] The preset adjustment duration is a time parameter for dynamically adjusting the defect area threshold, which depends on the soil moisture change rate, vegetation recovery period and ecological restoration demand, usually set between 1 day to 7 days. In this embodiment, it is set to 3 days, which ensures the efficiency of ecological restoration while timely adjusting the threshold to adapt to the change of soil moisture, so as to better achieve the ecological restoration target.

[0081] First, real-time ground images, equipment vibration frequency and soil moisture data are collected along the construction route, and then the area, position and terrain height information of soil defects are extracted from the images. Next, by comparing the real-time soil defect area with the preset threshold, the areas that need attention are preliminarily determined; combined with the equipment vibration frequency, more accurate areas are further screened out. Then, according to the defect position and terrain height, the specific areas that need vegetation restoration are comprehensively determined, and the moisture retention film is covered in these areas to improve the soil environment. Subsequently, the threshold of defect area is dynamically adjusted according to the change of soil moisture after covering the moisture retention film, to optimize the accuracy of subsequent repair work. Finally, according to the adjusted threshold and terrain height information, accurate seeding is carried out, so as to realize efficient identification and repair of soil defects, promote vegetation restoration, and achieve the goal of ecological restoration.

[0082] Through dynamic monitoring and precise repair, efficient identification of soil defects along the transmission line and vegetation restoration are achieved. First, the system can collect multi-dimensional data such as soil moisture, ground images, and device vibration frequency in real time, ensuring that repair decisions are based on comprehensive and accurate information. Second, by dynamically adjusting the defect area threshold, the system can adapt to different construction stages and environmental conditions, avoiding over-repair or omission, significantly improving the accuracy and efficiency of ecological restoration. In addition, combined with the precise seeding method of terrain height, the success rate of vegetation restoration is further improved, providing strong guarantee for ecological restoration in the construction area. Overall, the system not only effectively reduces the impact of construction on the ecological environment, but also promotes the recovery of biodiversity, addressing the issue of unstable repair effectiveness due to insufficient ecological restoration accuracy.

[0083] Please continue to see Figure 2 The determination logic diagram for determining the first temporary area by the first determination unit of the embodiment is shown in FIG. 1;

[0084] The first determination module comprises:

[0085] The defect area comparison unit is used to compare the real-time soil defect area with the preset defect area threshold to form a defect area comparison result.

[0086] The first determination unit is connected with the defect area comparison unit and is used to determine the construction area as a first temporary area when the defect area comparison result is that the real-time soil defect area is greater than the preset defect area threshold, so as to determine a plurality of first temporary areas.

[0087] By comparing the real-time soil defect area with the preset defect area threshold, a comparison result is generated. When the comparison result shows that the real-time soil defect area is greater than the preset threshold, the system determines that the construction area is a first temporary area that needs to be focused on, thereby determining a plurality of such areas.

[0088] By comparing the real-time soil defect area with the preset defect area threshold and determining the first temporary area accordingly, the system can efficiently screen out soil defect areas that need to be repaired first. This threshold-based screening mechanism not only improves the targeting of ecological restoration, avoids waste of resources, but also ensures the efficiency and accuracy of repair work. In addition, this method can quickly respond to soil defect problems that occur during construction, providing timely positioning and guidance for subsequent ecological restoration measures, thereby effectively improving the overall effectiveness and efficiency of ecological restoration.

[0089] Specifically, the second determination module comprises:

[0090] a defect area fluctuation calculation unit configured to calculate a standard deviation of all real-time soil defect areas within a preset determination time period to obtain a defect area fluctuation value;

[0091] a vibration frequency fluctuation calculation unit configured to calculate a standard deviation of all real-time vibration frequencies within the preset determination time period to obtain a vibration frequency fluctuation value;

[0092] a second determination unit connected to the defect area fluctuation calculation unit and the vibration frequency fluctuation calculation unit, respectively, and configured to determine a plurality of second temporary regions according to the defect area fluctuation value and the vibration frequency fluctuation value.

[0093] The preset determination time period is a time interval for calculating and evaluating the soil defect area fluctuation value and the vibration frequency fluctuation value. The setting of the preset determination time period needs to comprehensively consider the change rate of the soil defect, the vibration frequency of the construction equipment, and the real-time requirement of the system, and is usually set to be between 10 minutes and 1 hour. In the embodiment, the preset determination time period is set to 30 minutes, which can ensure real-time monitoring of the changes of the soil defect and the vibration frequency, effectively filter data noise, and improve the accuracy and stability of the system.

[0094] The defect area fluctuation value is obtained by calculating the standard deviation of the real-time soil defect area within the preset determination time period, to reflect the change degree of the soil defect area. At the same time, the standard deviation of the real-time vibration frequency within the same time period is calculated to obtain the vibration frequency fluctuation value, to evaluate the dynamic influence of the construction equipment on the soil. Then, the soil stability of the construction region is comprehensively judged by combining the defect area fluctuation value and the vibration frequency fluctuation value. When the fluctuation value exceeds the set standard, the system determines the region as a second temporary region, to determine a plurality of regions that need further attention.

[0095] By calculating the defect area fluctuation value and the vibration frequency fluctuation value within the preset time period, the system can dynamically monitor the change of the soil defect and the interference degree of the construction equipment, and accurately screen out the regions that are greatly affected by the construction and need to be repaired in priority. This dynamic monitoring method not only improves the pertinence and efficiency of ecological restoration, but also reduces the misjudgment caused by data noise or short-term fluctuation, ensures that the repair resources can be accurately invested, and optimizes the overall effect of ecological restoration.

[0096] Please continue to refer to Figure 3 as shown in FIG. 6, which is a determination logic diagram of the second determination unit of the embodiment for determining the second temporary region;

[0097] The second determination unit includes:

[0098] a defect area curve drawing subunit configured to draw a change curve of the defect area fluctuation value within the preset determination time period to obtain a defect area curve;

[0099] a vibration frequency curve plotting subunit configured to plot a vibration frequency curve of the vibration frequency fluctuation value within the preset determination duration;

[0100] a synchronization degree calculation subunit connected with the defect area curve plotting subunit and the vibration frequency curve plotting subunit, respectively, and configured to calculate a cosine similarity of the defect area curve and the vibration frequency curve to form a change synchronization degree;

[0101] a second determination subunit connected with the synchronization degree calculation subunit and configured to determine that vegetation restoration is needed when the change synchronization degree is greater than a preset synchronization degree threshold value, to determine a plurality of the second temporary areas.

[0102] The preset synchronization degree threshold value is an important parameter for evaluating the synchronization of the change trends of the defect area curve and the vibration frequency curve, and needs to comprehensively consider the complexity of the construction environment, the target accuracy of ecological restoration, and the correlation of the changes of the two, and depends on the strictness of the requirement for synchronization, and is usually set between 0.8 and 0.95, and in this embodiment, is set to 0.9. This higher threshold value can ensure that only when the changes of the two are highly consistent can the area be determined as needing restoration, thereby improving the accuracy of ecological restoration, reducing misjudgment and resource waste, and at the same time enhancing the adaptability of the system to complex construction environments.

[0103] By calculating the defect area fluctuation value and the vibration frequency fluctuation value within the preset determination duration, the defect area curve and the vibration frequency curve are plotted, respectively. Then, the cosine similarity of the two curves is calculated to obtain the change synchronization degree. When the change synchronization degree is greater than the preset synchronization degree threshold value, it is determined that the area needs vegetation restoration, and is determined as a second temporary area.

[0104] By plotting the defect area curve and the vibration frequency curve and calculating the change synchronization degree, the system can accurately identify the area in which the soil defects and the vibration frequency change trends are highly consistent during the construction process. This determination method based on synchronization degree not only improves the accuracy of ecological restoration and avoids the waste of restoration resources caused by misjudgment of a single indicator, but also dynamically adapts to environmental changes at different construction stages, ensuring that the restoration measures are more scientific and targeted.

[0105] Specifically, the determination module comprises:

[0106] a distribution density calculation unit configured to calculate a standard deviation of all the real-time soil defect positions in each of the second temporary areas to form a distribution density;

[0107] a determination unit connected with the distribution density calculation unit and configured to determine that the second temporary area is the vegetation restoration area when the distribution density is greater than a preset distribution density threshold value, to form a plurality of vegetation restoration areas.

[0108] The preset distribution density threshold is an important parameter for evaluating whether the soil defect distribution density meets the vegetation restoration standard. It needs to comprehensively consider the spatial distribution characteristics of soil defects, ecological restoration targets, and the complexity of construction environment, and is usually set between 0.5 and 1.5. In this embodiment, the threshold is set to 1.0, and vegetation restoration is only performed in areas with dense defect distribution, so as to improve the accuracy of ecological restoration, reduce resource waste, and enhance the adaptability of the system to complex construction environments.

[0109] The distribution density of each second temporary area is obtained by calculating the standard deviation of all real-time soil defect positions in the area. Then, the calculated distribution density is compared with the preset distribution density threshold. When the distribution density is greater than the preset threshold, the second temporary area is determined as an area that needs vegetation restoration, thereby finally determining a plurality of vegetation restoration areas.

[0110] By calculating the distribution density and combining the preset distribution density threshold for determination, the system can accurately identify areas with dense soil defect distribution, thereby determining the specific range that needs vegetation restoration. This distribution density-based determination method not only improves the accuracy of ecological restoration, avoids ineffective restoration of scattered defect areas, but also optimizes resource allocation and reduces restoration costs. At the same time, this method can dynamically adapt to the soil defect distribution characteristics of different construction areas, enhancing the flexibility and adaptability of the system, and providing a scientific, efficient and economical solution for ecological restoration of power transmission line projects.

[0111] Specifically, the adjustment module comprises:

[0112] A humidity fluctuation calculation unit is configured to calculate the standard deviation of the real-time soil humidity to form a humidity fluctuation value.

[0113] An adjustment unit is connected to the humidity fluctuation calculation unit and configured to adjust the preset defect area threshold according to the humidity fluctuation value and a preset humidity fluctuation value threshold to form an adjusted defect area threshold.

[0114] The preset humidity fluctuation value threshold is an important parameter in the ecological restoration system for monitoring and adjusting soil humidity changes, and depends on the characteristics of soil humidity changes, ecological restoration targets, and construction environmental conditions. It is usually set between 2% and 5% RH. In this embodiment, it is set to 3% RH, which can dynamically monitor soil humidity changes while reducing false positives and system false triggers, ensuring the stability and effectiveness of ecological restoration measures.

[0115] The humidity fluctuation value is formed by calculating the standard deviation of the real-time soil humidity, and the preset defect area threshold is dynamically adjusted according to the relationship between the fluctuation value and the preset humidity fluctuation value threshold, to obtain the adjusted defect area threshold.

[0116] By dynamically adjusting the defect area threshold value based on the humidity fluctuation value, the system can more accurately respond to changes in soil humidity under different environmental conditions. For example, in areas with large humidity fluctuations, appropriately adjusting the defect area threshold value can avoid false positives caused by unstable humidity, thereby improving the accuracy and efficiency of ecological restoration. In addition, this method can also optimize resource allocation, reduce unnecessary repair work, and enhance the system's adaptability to complex environments.

[0117] Specifically, the adjustment unit comprises:

[0118] A humidity fluctuation comparison sub-unit is used to compare the humidity fluctuation value and the preset humidity fluctuation value threshold to form a humidity comparison result.

[0119] An adjustment sub-unit connected to the humidity fluctuation comparison sub-unit is used to, when the humidity comparison result is that the humidity fluctuation value is greater than the preset humidity fluctuation value threshold, decrease the preset defect area threshold value according to the relative deviation of the humidity fluctuation value being greater than the preset humidity fluctuation value threshold and a preset first adjustment coefficient to form an adjusted defect area threshold value.

[0120] The preset first adjustment coefficient is a key parameter for dynamically adjusting the defect area threshold value, and is determined by the characteristics of soil humidity change, ecological restoration goals, and construction environmental conditions. It is usually set between 0.5 and 1.5. In this embodiment, the coefficient is set to 0.8, which can more flexibly adjust the threshold value when the humidity fluctuation is large, avoiding false positives caused by humidity changes, thereby improving the adaptability of the system and the accuracy of the repair measures.

[0121] By comparing the humidity fluctuation value calculated in real time with the preset humidity fluctuation value threshold, a humidity comparison result is obtained. If the humidity fluctuation value exceeds the preset threshold, the system will dynamically decrease the preset defect area threshold value according to the relative deviation of the humidity fluctuation value exceeding the threshold and the preset first adjustment coefficient, thereby obtaining an adjusted defect area threshold value.

[0122] By comparing the humidity fluctuation value calculated in real time with the preset humidity fluctuation value threshold, a humidity comparison result is obtained. If the humidity fluctuation value exceeds the preset threshold, the system will dynamically decrease the preset defect area threshold value according to the relative deviation of the humidity fluctuation value exceeding the threshold and the preset first adjustment coefficient, thereby obtaining an adjusted defect area threshold value.

[0123] Specifically, the sowing module comprises:

[0124] A height difference calculation unit is used to calculate the difference in real-time terrain height of preset adjacent sowing points in each vegetation restoration area to form a height difference.

[0125] a sowing unit connected to the height difference calculation unit for sowing according to the height difference.

[0126] The preset distance between adjacent sowing points is a key parameter for guiding the sowing operation of vegetation restoration, which depends on the plant growth characteristics, soil conditions and restoration targets, and is usually set between 10 cm and 50 cm. In this embodiment, it is set to 20 cm, which can ensure the vegetation coverage effect and avoid excessive competition between seeds, improve seed survival rate and growth quality, and has good universality and adaptability.

[0127] The height difference data is obtained by calculating the real-time terrain height difference between the preset adjacent sowing points in the vegetation restoration area. Then, sowing operation is performed according to these height difference data.

[0128] By calculating the real-time terrain height difference between the preset adjacent sowing points in the vegetation restoration area and sowing accordingly, this method can effectively improve the uniformity and accuracy of sowing, ensure uniform distribution of seeds under different terrain conditions, and thus enhance the effect of vegetation restoration. At the same time, this method can adapt to complex terrain, reduce seed waste, optimize resource utilization, and promote the recovery and stability of the ecological system by quickly establishing a stable vegetation community.

[0129] Specifically, the sowing unit comprises:

[0130] a sowing amount calculation sub-unit for calculating the sowing amount according to the height difference and the preset height difference range;

[0131] a sowing sub-unit connected to the sowing amount calculation sub-unit for sowing according to the sowing amount.

[0132] The preset height difference range is an important parameter for guiding the calculation of sowing amount in the process of vegetation restoration, which depends on the terrain features, plant species and soil conditions, and is usually set between 0 and 20 cm. In this embodiment, it is set to 0 to 15 cm, which can effectively adapt to terrain changes and ensure accurate calculation of sowing amount, thereby improving the effect and efficiency of vegetation restoration.

[0133] The sowing amount is calculated according to the height difference of each preset adjacent sowing point in the vegetation restoration area and the preset height difference range. Specifically, this unit adjusts the sowing amount according to the size of the height difference, for example, appropriately increases the sowing amount in areas with large terrain undulations (height difference close to the upper limit of the preset height difference range) to ensure the uniformity of vegetation coverage; and reduces the sowing amount in areas with relatively flat terrain (small height difference) to avoid resource waste. Then, accurate sowing is performed according to the calculated sowing amount to ensure uniform distribution of seeds and adapt to different terrain conditions, thereby improving the effect and efficiency of vegetation restoration.

[0134] The calculation method of the seeding amount is to determine the final seeding amount according to the height difference between adjacent seeding points, combined with the preset seeding amount adjustment rule. The specific steps are as follows:

[0135] 1. Obtain the height difference between adjacent seeding points:

[0136] By measuring the terrain height of adjacent seeding points, the height difference between them is calculated. For example, if the terrain height of a point is 120 cm, and the height of the adjacent point is 130 cm, the height difference is 10 cm.

[0137] 2. Determine whether the height difference exceeds the preset height difference range:

[0138] If the calculated height difference is greater than 15 cm, the seeding amount adjustment range is calculated according to 15 cm to avoid excessive increase of the seeding amount. For example, if the height difference between two seeding points is 18 cm, it is calculated according to the upper limit of 15 cm.

[0139] 3. Calculate the seeding amount

[0140] Set a standard seeding amount, that is, in the case of flat terrain, 50 grams of seeds per square meter.

[0141] When the height difference is small, the adjustment range of the seeding amount is small. For example, if the height difference is 5 cm, the seeding amount can be increased by about 7%, that is, about 53.5 grams of seeds per square meter.

[0142] When the height difference is large but still within 15 cm, the increase range of the seeding amount is larger. For example, if the height difference is 12 cm, the seeding amount can be increased by 16%, that is, about 58 grams of seeds per square meter.

[0143] When the height difference reaches 15 cm, the seeding amount is increased by a maximum of 20%, that is, 60 grams of seeds per square meter.

[0144] 4. Seeding execution:

[0145] The calculated seeding amount is transmitted to the seeding device, and the seeding device adjusts the seed delivery amount according to different terrain areas to ensure uniform distribution of plant seeds and improve the effect of vegetation restoration.

[0146] Example:

[0147] Case 1: Flat terrain (height difference 3 cm)

[0148] In this case, the height difference is small, and the seeding amount remains basically unchanged or increases slightly, such as by 4%, that is, 52 grams of seeds per square meter.

[0149] Case 2: Terrain with slight ups and downs (height difference 8 cm)

[0150] The height difference here is more obvious, and the seeding amount needs to be appropriately increased, such as by 11%, i.e., 55.5 grams of seeds per square meter, to ensure that the seeds can cover uneven areas.

[0151] Case 3: Large terrain undulation (height difference of 15 cm)

[0152] Due to the steep terrain, seed loss or uneven coverage may occur, so the seeding amount is increased by 20%, i.e., 60 grams of seeds per square meter, to ensure uniform vegetation coverage.

[0153] For small height differences, the seeding amount is basically unchanged, only fine-tuned to prevent seed waste; for medium height differences, the seeding amount is appropriately increased to ensure that the seeds can effectively cover the ground; and for large height differences, the seeding amount is significantly increased to avoid insufficient vegetation coverage due to terrain undulation. This can ensure vegetation restoration effects under different terrain conditions and improve plant survival rate and coverage.

[0154] By dynamically adjusting the seeding amount based on the height difference and the preset height difference range and accurately seeding, the seeds can be uniformly distributed in complex terrain, avoiding resource waste, while quickly establishing stable vegetation coverage, reducing soil erosion, and significantly improving ecological restoration efficiency and quality, providing strong support for ecological system restoration.

[0155] On the other hand, please continue to refer to Figure 4 as shown, which is a flowchart of the ecological restoration method for the power transmission line project of the embodiment;

[0156] The embodiment also provides an ecological restoration method for a power transmission line project, comprising:

[0157] Collecting real-time ground images of each construction area in the construction process, real-time vibration frequencies of equipment, and real-time soil moisture along the construction route;

[0158] Extracting real-time soil defect areas, real-time soil defect positions, and real-time terrain heights from the real-time ground images;

[0159] Determining a plurality of first temporary areas according to the real-time soil defect areas and a preset defect area threshold;

[0160] Determining a plurality of second temporary areas according to the soil defect areas and real-time vibration frequencies of each of the first temporary areas;

[0161] Determining a plurality of vegetation restoration areas according to the real-time soil defect positions of each of the second temporary areas;

[0162] Covering the plurality of vegetation restoration areas with soil moisture membranes;

[0163] The preset defect area threshold is adjusted according to the real-time soil humidity within a preset adjustment time period after the soil moisture film is covered.

[0164] Seeding is performed according to the real-time terrain height of the vegetation repair area determined based on the adjusted defect area threshold.

[0165] By collecting real-time ground images, vibration frequencies, soil humidity and other data along the construction route, soil defect area, location and terrain height information are extracted, the first temporary area and the second temporary area are determined in sequence, and the vegetation repair area is determined according to the defect location. Then, the repair area is covered with a moisture-retaining film to improve the soil conditions, and the defect area threshold is dynamically adjusted according to the soil humidity after the moisture-retaining film is covered, and finally precise seeding is performed in combination with the terrain height. This method realizes the whole-process optimization from data collection to precise repair, effectively improves the efficiency and quality of ecological repair, reduces the impact of construction on the ecological environment, and provides scientific and efficient technical support for ecological recovery after power grid construction.

[0166] By precisely positioning the repair area, dynamically adjusting the repair strategy and optimizing the vegetation recovery effect, the efficiency and quality of ecological repair of the power transmission line project are effectively improved, resource waste and construction interference are reduced, and the stability and recovery capacity of the ecological system are enhanced.

[0167] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.

Claims

1. An ecological restoration system for power transmission line engineering, characterized in that, include: The data acquisition module is used to collect real-time ground images, real-time vibration frequency of equipment, and real-time soil moisture in each construction area along the construction route. An extraction module, which is connected to the data acquisition module, is used to extract the real-time soil defect area, real-time soil defect location, and real-time terrain height of the real-time ground image; The first determining module is connected to the extraction module and is used to determine several first temporary areas based on the real-time soil defect area and the preset defect area threshold. The second determining module is connected to the data acquisition module, the extraction module and the first determining module respectively, and is used to determine a number of second temporary areas based on the soil defect area and real-time vibration frequency of each first temporary area. A determination module, which is connected to the extraction module and the second determination module respectively, is used to determine several vegetation restoration areas based on the real-time soil defect locations of each of the second temporary areas. A covering module, which is connected to the determination module, is used to cover the several vegetation restoration areas with a soil moisture-retaining film; An adjustment module, which is connected to the data acquisition module and the coverage module respectively, is used to adjust the preset defect area threshold according to the real-time soil humidity within a preset adjustment time after covering the soil moisture film, thereby forming an adjustment defect area threshold. A seeding module, which is connected to the covering module and the adjustment module respectively, is used to seed according to the real-time terrain height of the vegetation restoration area determined based on the adjustment defect area threshold.

2. The ecological restoration system for power transmission line projects according to claim 1, characterized in that, The first determining module includes: The defect area comparison unit is used to compare the real-time soil defect area with the preset defect area threshold to form a defect area comparison result; The first determining unit is connected to the defect area comparison unit and is used to determine the construction area as a first temporary area when the defect area comparison result is that the real-time soil defect area is greater than a preset defect area threshold, so as to determine a number of first temporary areas.

3. The ecological restoration system for power transmission line projects according to claim 2, characterized in that, The second determining module includes: The defect area fluctuation calculation unit is used to calculate the standard deviation of all the real-time soil defect areas within a preset time period to form the defect area fluctuation value. The vibration frequency fluctuation calculation unit is used to calculate the standard deviation of all the real-time vibration frequencies within the preset time period to form a vibration frequency fluctuation value. The second determining unit is connected to the defect area fluctuation calculation unit and the vibration frequency fluctuation calculation unit respectively, and is used to determine a number of second temporary regions based on the defect area fluctuation value and the vibration frequency fluctuation value.

4. The ecological restoration system for power transmission line projects according to claim 3, characterized in that, The second determining unit includes: The defect area curve drawing subunit is used to draw the change curve of the defect area fluctuation value within the preset time period, thereby forming the defect area curve; The vibration frequency curve plotting subunit is used to plot the change curve of the vibration frequency fluctuation value within the preset time period, thereby forming a vibration frequency curve. The synchronization calculation subunit is connected to the defect area curve drawing subunit and the vibration frequency curve drawing subunit respectively, and is used to calculate the cosine similarity between the defect area curve and the vibration frequency curve to form the change synchronization degree. The second determining subunit, which is connected to the synchronization calculation subunit, is used to determine that vegetation restoration is needed when the change in synchronization is greater than a preset synchronization threshold, so as to determine a number of second temporary areas.

5. The ecological restoration system for power transmission line projects according to claim 4, characterized in that, The determination module includes: The distribution density calculation unit is used to calculate the standard deviation of all real-time soil defect locations in each of the second temporary areas to form the distribution density; A determination unit, which is connected to the distribution density calculation unit, is used to determine the second temporary area as the vegetation restoration area when the distribution density is greater than a preset distribution density threshold, thereby forming several vegetation restoration areas.

6. The ecological restoration system for power transmission line projects according to claim 5, characterized in that, The adjustment module includes: A humidity fluctuation calculation unit is used to calculate the standard deviation of the real-time soil humidity to form a humidity fluctuation value; An adjustment unit, connected to the humidity fluctuation calculation unit, is used to adjust the preset defect area threshold according to the humidity fluctuation value and the preset humidity fluctuation value threshold, thereby forming an adjusted defect area threshold.

7. The ecological restoration system for power transmission line projects according to claim 6, characterized in that, The adjustment unit includes: A humidity fluctuation comparison subunit is used to compare the humidity fluctuation value with the preset humidity fluctuation value threshold to form a humidity comparison result; An adjustment subunit, connected to a humidity fluctuation comparison subunit, is used to reduce the preset defect area threshold based on the relative deviation of the humidity fluctuation value from the preset humidity fluctuation threshold and a preset first adjustment coefficient when the humidity comparison result is that the humidity fluctuation value is greater than the preset humidity fluctuation threshold, thereby forming an adjustment defect area threshold.

8. The ecological restoration system for power transmission line projects according to claim 7, characterized in that, The seeding module includes: The height difference calculation unit is used to calculate the difference in real-time terrain height between preset adjacent seeding points within each vegetation restoration area, thereby forming a height difference. A sowing unit, which is connected to the height difference calculation unit, is used to sow seeds according to the height difference.

9. The ecological restoration system and method for power transmission line engineering according to claim 8, characterized in that, The seeding unit includes: The seeding amount calculation subunit is used to calculate the seeding amount based on the height difference and the preset height difference range; A sowing subunit, which is connected to the sowing amount calculation subunit, is used to sow seeds according to the sowing amount.

10. An ecological restoration method for power transmission line projects, based on the ecological restoration system for power transmission line projects according to any one of claims 1-9, characterized in that, include: Collect real-time ground images, equipment vibration frequencies, and soil moisture in each construction area along the construction route during the construction process; Extract the real-time soil defect area, real-time soil defect location, and real-time terrain height from the real-time ground image; Several first temporary regions are determined based on the real-time soil defect area and the preset defect area threshold. Several second temporary areas are determined based on the soil defect area and real-time vibration frequency of each of the first temporary areas; Several vegetation restoration areas are determined based on the real-time soil defect locations in each of the second temporary areas; Cover the aforementioned vegetation restoration areas with a soil moisture-retaining film; The preset defect area threshold is adjusted based on the real-time soil moisture within a preset adjustment period after the soil moisture film is covered, thus forming the adjusted defect area threshold. Seeding is performed based on the real-time terrain height of the vegetation restoration area determined by the adjusted defect area threshold.

Images