Power transmission construction project environmental impact evaluation system and method based on big data analysis

Abstract

The invention relates to the technical field of data analysis, in particular to a power transmission construction project environmental impact evaluation system and method based on big data analysis, and the method specifically comprises the steps: obtaining electric field data in the operation process of a power transmission line and growth monitoring data of trees in different directions of the power transmission line, and carrying out the tree adaptability analysis; screening to obtain a potential threat branch set; the growth data of the potential threatening branches are imported into a line safety influence analysis strategy for line threatening analysis; and importing the tree adaptive value, the line threat evaluation value and the growth mutation probability value obtained through analysis into a power transmission system stability analysis strategy to perform power transmission line environment matching degree evaluation, and generating an environment optimization suggestion in real time. The dynamic coupling relationship between the spatial and temporal distribution characteristics of the electromagnetic field and the physiological response of the tree is not comprehensively considered, so that the early-stage concealment risk is difficult to find in time.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and is a system and method for environmental impact assessment of power transmission construction projects based on big data analysis. Background Art

[0002] Current assessment methods for the environmental impact of power transmission lines suffer from the following major technical flaws: Existing environmental impact assessments often employ static threshold methods, judging risk solely through a single indicator of electric field strength or safety distance. These methods fail to comprehensively consider the dynamic coupling between the spatiotemporal distribution of electromagnetic fields and the physiological responses of trees, resulting in inaccurate predictions of potential risks. Furthermore, existing technologies assess abnormal tree growth using a single dimension, often focusing solely on visible morphological changes (such as tree height growth rate) while ignoring the multi-scale biological damage mechanisms caused by the unique environmental interference of transmission lines with tree growth. This makes it difficult to detect early, hidden risks and hinders the precise operation and maintenance requirements of UHV lines. Summary of the Invention

[0003] The technical problem to be solved by the present invention is that the existing technology fails to comprehensively consider the dynamic coupling relationship between the temporal and spatial distribution characteristics of the electromagnetic field and the physiological response of trees, making it difficult to timely discover early hidden risks. A system and method for environmental impact assessment of power transmission construction projects based on big data analysis are proposed.

[0004] To achieve the above objectives, the technical solution of the environmental impact assessment method for power transmission construction projects based on big data analysis of the present invention includes the following steps:

[0005] S1: Acquire electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line;

[0006] S2: Import the electric field data and tree growth monitoring data into the tree growth impact analysis strategy to conduct tree adaptability analysis, and screen and obtain a set of potential threatening branches based on the tree adaptability analysis results;

[0007] S3: Import the growth data of potential threat branches into the line safety impact analysis strategy to perform line threat analysis;

[0008] S4: The tree adaptation value, line threat assessment value and growth mutation probability value obtained from the analysis are introduced into the transmission system stability analysis strategy to evaluate the transmission line environment matching degree;

[0009] S5: Generate environmental optimization suggestions in real time based on the transmission line environment matching evaluation results.

[0010] Specifically, the method of importing electric field data and tree growth monitoring data into the tree growth impact analysis strategy to perform tree adaptability analysis, and screening out potential threatening branches based on the tree adaptability analysis results, includes:

[0011] S21: synchronously extracting the electric field data of the transmission line and calculating the electromagnetic exposure parameters of the trees near the transmission line based on the electric field data;

[0012] S22: Importing electromagnetic exposure parameters into the electromagnetic stress response assessment strategy to obtain the electromagnetic stress response of trees near the transmission line;

[0013] S23: Acquire data on changes in the physiological status of trees at monitoring points in different directions along the transmission line within a set monitoring period, and evaluate the growth inhibition index and canopy imbalance index of the trees caused by the transmission line based on the data on changes in the physiological status of the trees;

[0014] Specifically, the method of importing the electric field data and the tree growth monitoring data into the tree growth impact analysis strategy to perform tree adaptability analysis, and screening out potential threatening branches based on the tree adaptability analysis results, further includes:

[0015] S24: importing the acquired electromagnetic stress response of trees near the transmission line and tree growth monitoring data into a tree adaptability evaluation formula to calculate the tree adaptability value;

[0016] S25: Calculate the area near the transmission line The tree fitness value of trees near the transmission line The tree fitness values ​​of each tree are averaged to obtain the overall tree fitness value of all trees near the transmission line. ;

[0017] S26: Yes The tree fitness values ​​of the trees are sorted, and the branches of the first 30% of the trees in the tree fitness value sequence are marked to obtain the set of potential threat branches in the environment where the current transmission line is located.

[0018] Specifically, the growth data of potential threat branches is imported into the line safety impact analysis strategy to conduct line threat analysis, including:

[0019] S31: obtaining mechanical threat parameters of potentially threatening branches at different positions of the transmission line within a set period;

[0020] S32: Import the mechanical threat parameters of potential threatening branches at different positions of the transmission line into the line threat assessment value calculation formula to obtain the line threat assessment value ;

[0021] Specifically, electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line are obtained, including: real-time acquisition of tree growth status data at different locations during the operation of the transmission line, importing the data into a tree growth analysis system, and importing the tree growth status data at different locations monitored this time and the growth status data of historical periods into a tree growth mutation probability value calculation formula to calculate the tree growth mutation probability value;

[0022] Furthermore, the tree growth mutation probability value calculation formula is:

[0023] ;

[0024] Among them, G is the probability value of tree growth mutation; is the coefficient of the proportion of normally growing branches on trees during this monitoring period; is the average growth rate of normally growing branches during this monitoring period; The average growth rate of normally growing branches monitored for the historical period; is the average growth deviation of the inhibited branches monitored in this study; The average growth deviation of suppressed branches monitored for the historical period;

[0025] A tree growth mutation index is preset. If the growth mutation probability value is greater than or equal to the tree growth mutation index, it is set as a multi-source inhibition tree. If the growth mutation probability value is less than the tree growth mutation index, it is set as a single-source inhibition tree. The trees at various locations before the line is put into operation are classified into multi-source inhibition trees and single-source inhibition trees, and the growth mutation distribution of trees at all locations after the line is put into operation is obtained.

[0026] Specifically, the tree adaptability value, line threat assessment value, and growth mutation probability value obtained from the analysis are introduced into the transmission system stability analysis strategy to evaluate the transmission line environment matching degree, including:

[0027] Obtain the calculated growth mutation probability value, tree adaptation value of the historical monitoring period, and line threat assessment value of the historical monitoring period and import them into the environmental matching degree calculation formula to calculate the current environmental matching degree. The environmental matching degree calculation formula is:

[0028] ;

[0029] in, is the transmission line environment matching degree of the current monitoring period;

[0030] is the tree suitability assessment value for the historical monitoring period;

[0031] is the matching ratio coefficient of the environmental assessment item.

[0032] Specifically, based on the transmission line environment matching evaluation results, environmental optimization suggestions are generated in real time, including:

[0033] when When ≥0.8, a maintenance operation recommendation is generated to maintain the current transmission line operating parameters;

[0034] When 0.5≤ When <0.8, generate environmental optimization adjustment suggestions;

[0035] when When <0.5, an urgent intervention recommendation is generated;

[0036] In addition, the environmental impact assessment system for power transmission construction projects based on big data analysis of the present invention includes the following modules:

[0037] Environmental parameter acquisition module, threat branch screening module, line threat assessment module, environmental matching evaluation module and environmental optimization suggestion output module;

[0038] The environmental parameter acquisition module is used to obtain electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line;

[0039] The threatening branch screening module is used to import electric field data and tree growth monitoring data into the tree growth impact analysis strategy to perform tree adaptability analysis, and to screen and obtain a set of potential threatening branches based on the tree adaptability analysis results;

[0040] The line threat assessment module is used to import the growth data of potential threat branches into the line security impact analysis strategy to perform line threat analysis;

[0041] The environmental matching evaluation module is used to import the tree adaptability value, line threat assessment value and growth mutation probability value obtained from the analysis into the transmission system stability analysis strategy to perform transmission line environmental matching evaluation;

[0042] The environmental optimization suggestion output module generates environmental optimization suggestions in real time according to the transmission line environment matching evaluation results.

[0043] Compared with the prior art, the technical effects of the present invention are as follows:

[0044] By constructing a multi-dimensional dynamic assessment model, the present invention realizes the precise coupling analysis of the electromagnetic environment of the transmission line and the tree growth response, and establishes a comprehensive evaluation system including electromagnetic exposure parameters, electrophysiological inhibition index, canopy imbalance index and growth mutation probability value, upgrading the traditional single electric field strength assessment to biological damage detection covering multiple scales of cells, tissues and organs, thereby improving the accuracy of early risk identification; the tree adaptability assessment proposed by the present invention introduces the orientation weight coefficient and electromagnetic stress response, and quantifies the approach and avoidance effect of trees in different orientations through polar coordinate modeling, solving the problem of insufficient risk assessment of eccentric crown growth by traditional methods; the line threat assessment model in the present invention combines overturning angle mechanical analysis and real-time spatial clearance monitoring to reduce the mechanical threat prediction error, realize risk classification warning through the environmental matching index, and can automatically trigger differentiated prevention and control strategies (such as load regulation, shielding net installation, etc.) according to the changes in the electric field gradient, thereby improving the management and operation efficiency of the transmission project. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0046] Figure 1 Schematic diagram of the main steps of the environmental impact assessment method for power transmission construction projects based on big data analysis of the present invention;

[0047] Figure 2 This is a schematic diagram of the overall process of the environmental impact assessment method for power transmission construction projects based on big data analysis of the present invention;

[0048] Figure 3 This is a schematic diagram of the structure of the environmental impact assessment system for power transmission construction projects based on big data analysis of the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0051] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0052] Example 1:

[0053] like Figure 1 and Figure 2 As shown, the environmental impact assessment method of a power transmission construction project based on big data analysis in an embodiment of the present invention is as follows: Figure 1 As shown, the specific steps are as follows:

[0054] S1: Acquire electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line, including: real-time acquisition of tree growth status data at different locations during the operation of the transmission line, importing the data into the tree growth analysis system, and importing the tree growth status data at different locations monitored this time and the growth status data of historical periods into the tree growth mutation probability calculation formula to calculate the tree growth mutation probability value;

[0055] For example, in this embodiment, a calculation formula for the probability value of tree growth mutation is:

[0056] ;

[0057] Among them, G is the probability value of tree growth mutation; is the coefficient of the proportion of normally growing branches on trees during this monitoring period; is the average growth rate of normally growing branches during this monitoring period; The average growth rate of normally growing branches monitored for the historical period; is the average growth deviation of the inhibited branches monitored in this study; The average growth deviation of suppressed branches monitored for the historical period;

[0058] A tree growth mutation index is preset. If the growth mutation probability value is greater than or equal to the tree growth mutation index, it is set as a multi-source inhibition tree. If the growth mutation probability value is less than the tree growth mutation index, it is set as a single-source inhibition tree. The trees at various locations before the line is put into operation are classified into multi-source inhibition trees and single-source inhibition trees, and the growth mutation distribution of trees at all locations after the line is put into operation is obtained.

[0059] S2: Import the electric field data and tree growth monitoring data into the tree growth impact analysis strategy to conduct tree adaptability analysis. Based on the tree adaptability analysis results, a set of potentially threatening branches is obtained, including:

[0060] S21: synchronously extracting the electric field data of the transmission line and calculating the electromagnetic exposure parameters of the trees near the transmission line based on the electric field data;

[0061] In one specific embodiment, a calculation strategy for electromagnetic exposure parameters of trees near a transmission line is as follows:

[0062] ;

[0063] in, The coordinates are Electromagnetic exposure parameters at the monitoring points;

[0064] are the polar coordinates of the monitoring points;

[0065] is the Cartesian coordinate of the nth transmission line;

[0066] is the real-time line voltage of the nth transmission line; is the dielectric constant of vacuum;

[0067] S22: Importing electromagnetic exposure parameters into the electromagnetic stress response assessment strategy to obtain the electromagnetic stress response of trees near the transmission line;

[0068] For example, in this embodiment, an electromagnetic stress response assessment strategy is as follows:

[0069] ;

[0070] in, Indicates the real-time electromagnetic stress response of trees near transmission lines; is the response steepness coefficient determined based on the differences in growth cycles of the same species of trees; The electromagnetic exposure threshold is determined based on the differences among different tree species;

[0071] It should be noted that when the electromagnetic exposure level in the environment where the plant is located exceeds the electromagnetic exposure threshold When the electric field has a significant inhibitory effect on plants, the exposure test in the laboratory calibrates the plant to 3.2 kV / m for example, for example, poplar.

[0072] S23: Acquire data on changes in the physiological status of trees at monitoring points in different directions along the transmission line within a set monitoring period, and evaluate the growth inhibition index and canopy imbalance index of the trees caused by the transmission line based on the data on changes in the physiological status of the trees;

[0073] For example, in this embodiment, the orientations of the transmission line monitoring points are selected to include: four main orientations: east, south, west, and north;

[0074] For example, in this embodiment, a specific evaluation method for evaluating the growth inhibition index of trees caused by power transmission lines based on the data of changes in the physiological state of the trees is also provided, specifically:

[0075] ;

[0076] in, The growth inhibition index of trees caused by transmission lines

[0077] T is the total monitoring duration of the set monitoring cycle;

[0078] The tree membrane sensitivity coefficient is determined based on the differences in the growth cycles of the same tree species and is used to quantify the conversion strength of the membrane potential in response to the electric field gradient.

[0079] is the second-order derivative of the membrane potential space (i.e., Laplace operator), which is used to reflect the non-uniformity of the membrane potential distribution;

[0080] In this embodiment, it should be noted that the membrane potential of plant cells exposed to electric fields for a long time will undergo cumulative changes due to ion channel disturbances. The temporal cumulative effects of electric field exposure can be quantified;

[0081] It should also be noted in this embodiment that The membrane potential perturbation term characterizes local membrane damage caused by the electric field, such as cell inactivation in areas with large potential gradients, such as leaf edges or root tips. When ion channel function in trees is abnormal for a long time, water and nutrient transport is blocked, leading to loss of apical dominance, disordered growth of lateral branches, and the formation of structurally fragile dead branches, which significantly increases the probability of dead branches breaking and falling.

[0082] For example, in this embodiment, a specific evaluation method for evaluating the canopy imbalance index caused by power transmission lines on trees based on the data of changes in the physiological state of the trees is also provided, specifically:

[0083] ;

[0084] in, is the canopy imbalance index caused by transmission lines on trees;

[0085] is the azimuth leaf area in the direction; is the average leaf area of ​​all leaves on the branch where the leaf is located; is the growth of tree canopy at different azimuth angles;

[0086] It should be noted that is the coefficient of variation of leaf area at each azimuth angle, i.e. The degree of variation in the canopy reflects the radial symmetry of the canopy. The larger the value, the more asymmetric the canopy.

[0087] It should be noted that is the growth difference ratio, which is used to measure the growth difference in different parts of the canopy;

[0088] It should also be noted that in this embodiment, the canopy imbalance index is used to quantify the morphological deviation of the tree crown. Based on the approach-avoidance effect of trees, the electric field gradient will cause the tree crown to grow toward the direction of low field strength. After the center of gravity shifts, the stress of the branches on the windward side is concentrated, making them prone to breakage and falling.

[0089] S24: importing the acquired electromagnetic stress response of trees near the transmission line and tree growth monitoring data into a tree adaptability evaluation formula to calculate the tree adaptability value;

[0090] For example, in one specific embodiment, a tree adaptability evaluation formula is:

[0091]

[0092] Where n is the tree number index; is the tree fitness value of the nth tree near the transmission line;

[0093] is the orientation weight coefficient of the tree's environment;

[0094] In this embodiment, it should be noted that the orientation weight coefficient of the environment in which the tree is located is determined by simulating the biological characteristics of the tree in the laboratory, such as the plant's photophilia;

[0095] is the area corresponding to different azimuth angles;

[0096] The tree growth weight is determined based on the differences among different tree species;

[0097] is the electromagnetic stress response of trees, which is equal to ;

[0098] S25: Calculate the area near the transmission line The tree fitness value of trees near the transmission line The tree fitness values ​​of each tree are averaged to obtain the overall tree fitness value of all trees near the transmission line. ;

[0099] S26: Yes The tree fitness values ​​of the trees are sorted, and the branches of the first 30% of the trees in the tree fitness value sequence are marked to obtain the set of potential threat branches in the environment where the current transmission line is located.

[0100] S3: Import the growth data of potential threat branches into the line safety impact analysis strategy to perform line threat analysis;

[0101] S31: obtaining mechanical threat parameters of potentially threatening branches at different positions of the transmission line within a set period;

[0102] S32: Import the mechanical threat parameters of potential threatening branches at different positions of the transmission line into the line threat assessment value calculation formula to obtain the line threat assessment value ;

[0103] For example, in this embodiment, a calculation formula for a line threat assessment value is:

[0104]

[0105] in, The line threat assessment value posed by potential threatening branches to the transmission line;

[0106] is the number of potential threat branches at time t, The label index of the potential threat branch;

[0107] For the The tipping angle of a potentially threatening branch;

[0108] Exemplarily, in this embodiment, a tipping angle of a potentially threatening branch is an offset relative to a vertical plane of the conductor;

[0109] For the The terminal velocity of the free fall of a potentially threatening branch; g is the acceleration due to gravity; is the wood density of the tree; A is the cross-sectional area of ​​dead branches that are potentially threatening;

[0110] In one specific embodiment, The final free-fall velocity of a potentially threatening branch is calculated as follows:

[0111] ; Among them, m is the The quality of deadwood that potentially threatens branches;

[0112] is the air density. In this embodiment, ;

[0113] is the air resistance coefficient;

[0114] is the mechanical strength threshold of the transmission line conductor;

[0115] For the The clear distance between the center of gravity of a potentially threatening branch and the nearest conductor; is the safety distance threshold;

[0116] is the risk correction coefficient. In this embodiment, the risk correction coefficient is obtained through regression analysis of historical accident data; .

[0117] S4: The tree adaptation value, line threat assessment value and growth mutation probability value obtained from the analysis are introduced into the transmission system stability analysis strategy to evaluate the transmission line environment matching degree;

[0118] The tree adaptability value, line threat assessment value, and growth mutation probability value obtained from the analysis are introduced into the transmission system stability analysis strategy to evaluate the transmission line environment matching degree, including:

[0119] Obtain the calculated growth mutation probability value, tree adaptation value of the historical monitoring period, and line threat assessment value of the historical monitoring period and import them into the environmental matching degree calculation formula to calculate the current environmental matching degree. The environmental matching degree calculation formula is:

[0120] ;

[0121] in, is the transmission line environment matching degree of the current monitoring period;

[0122] is the tree suitability assessment value for the historical monitoring period;

[0123] is the matching ratio coefficient of the environmental assessment item.

[0124] S5: Generate environmental optimization suggestions in real time based on the transmission line environment matching evaluation results.

[0125] Based on the transmission line environment matching evaluation results, real-time environmental optimization suggestions are generated, including:

[0126] when When ≥0.8, a maintenance operation recommendation is generated to maintain the current transmission line operating parameters;

[0127] When 0.5≤ When <0.8, generate environmental optimization adjustment suggestions;

[0128] For example, in this embodiment, one environmental optimization adjustment suggestion includes: adjusting line load (reducing by 5%-15%), optimizing tree pruning cycle (shortening by 20%-30%), and locally enhancing electromagnetic shielding (installing shielding nets);

[0129] when When <0.5, an urgent intervention recommendation is generated;

[0130] For example, in this embodiment, an emergency intervention suggestion includes switching to backup line operation, reinforcing or removing high-risk trees, and activating an electromagnetic shielding system for the entire line.

[0131] Example 2:

[0132] like Figure 3 As shown, the environmental impact assessment system for power transmission construction projects based on big data analysis in an embodiment of the present invention is as follows: Figure 3 As shown, it includes the following modules:

[0133] Environmental parameter acquisition module, threat branch screening module, line threat assessment module, environmental matching evaluation module and environmental optimization suggestion output module;

[0134] The environmental parameter acquisition module is used to obtain electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line;

[0135] The threatening branch screening module is used to import electric field data and tree growth monitoring data into the tree growth impact analysis strategy to perform tree adaptability analysis, and to screen and obtain a set of potential threatening branches based on the tree adaptability analysis results;

[0136] The line threat assessment module is used to import the growth data of potential threat branches into the line security impact analysis strategy to perform line threat analysis;

[0137] The environmental matching evaluation module is used to import the tree adaptability value, line threat assessment value and growth mutation probability value obtained from the analysis into the transmission system stability analysis strategy to perform transmission line environmental matching evaluation;

[0138] The environmental optimization suggestion output module generates environmental optimization suggestions in real time according to the transmission line environment matching evaluation results.

[0139] Example 3:

[0140] This embodiment provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0141] The processor executes the above-mentioned environmental impact assessment method for power transmission construction projects based on big data analysis by calling the computer program stored in the memory.

[0142] This electronic device may vary significantly due to configuration or performance, and may include one or more processors (Central Processing Units, CPUs) and one or more memories, wherein the memories store at least one computer program, which is loaded and executed by the processor to implement the method for environmental impact assessment of power transmission construction projects based on big data analysis provided in the above-mentioned method embodiment. The electronic device may also include other components for implementing the device's functions. For example, the electronic device may also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment is not described in detail here.

[0143] Example 4:

[0144] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0145] When the computer program runs on a computer device, the computer device executes the above-mentioned method for environmental impact assessment of power transmission construction projects based on big data analysis.

[0146] For example, computer-readable storage media can be read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device.

[0147] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0148] It should be understood that determining B based on A does not mean determining B based solely on A. B can also be determined based on A and / or other information.

[0149] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0150] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for environmental impact assessment of power transmission construction projects based on big data analysis, characterized in that: The method comprises: S1: Acquire electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line; S2: Import the electric field data and tree growth monitoring data into the tree growth impact analysis strategy to conduct tree adaptability analysis, and screen and obtain a set of potential threatening branches based on the tree adaptability analysis results; S3: Import the growth data of potential threat branches into the line safety impact analysis strategy to perform line threat analysis; S4: The tree adaptation value, line threat assessment value and growth mutation probability value obtained from the analysis are introduced into the transmission system stability analysis strategy to evaluate the transmission line environment matching degree; S5: Generate environmental optimization suggestions in real time based on the transmission line environment matching evaluation results.

2. The method for environmental impact assessment of power transmission construction projects based on big data analysis according to claim 1, characterized in that: The electric field data and tree growth monitoring data are imported into the tree growth impact analysis strategy to perform tree adaptability analysis, and potential threatening branches are screened out based on the tree adaptability analysis results, including: S21: synchronously extracting the electric field data of the transmission line and calculating the electromagnetic exposure parameters of the trees near the transmission line based on the electric field data; S22: Importing electromagnetic exposure parameters into the electromagnetic stress response assessment strategy to obtain the electromagnetic stress response of trees near the transmission line; S23: Acquire data on changes in the physiological status of trees at monitoring points at different locations along the transmission line within a set monitoring period, and evaluate a growth inhibition index and a canopy imbalance index caused by the transmission line on the trees based on the data on changes in the physiological status of the trees.

3. The method for environmental impact assessment of power transmission construction projects based on big data analysis according to claim 2, characterized in that: The method of importing the electric field data and the tree growth monitoring data into the tree growth impact analysis strategy to perform tree adaptability analysis, and screening out potentially threatening branches based on the tree adaptability analysis results, further includes: S24: importing the acquired electromagnetic stress response of trees near the transmission line and tree growth monitoring data into a tree adaptability evaluation formula to calculate the tree adaptability value; S25: Calculate the area near the transmission line The tree fitness value of trees near the transmission line The tree fitness values ​​of each tree are averaged to obtain the overall tree fitness value of all trees near the transmission line. ; S26: Yes The tree fitness values ​​of the trees are sorted, and the branches of the first 30% of the trees in the tree fitness value sequence are marked to obtain the set of potential threat branches in the environment where the current transmission line is located.

4. The method for environmental impact assessment of power transmission construction projects based on big data analysis according to claim 3, characterized in that: Import the growth data of potential threat branches into the line safety impact analysis strategy to conduct line threat analysis, including: S31: obtaining mechanical threat parameters of potentially threatening branches at different positions of the transmission line within a set period; S32: Import the mechanical threat parameters of potential threatening branches at different positions of the transmission line into the line threat assessment value calculation formula to obtain the line threat assessment value .

5. The method for environmental impact assessment of power transmission construction projects based on big data analysis according to claim 4 is characterized in that: Obtaining electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line, including: obtaining real-time tree growth status data at different locations during the operation of the transmission line, importing the data into a tree growth analysis system, and importing the tree growth status data at different locations monitored this time and the growth status data from historical periods into a tree growth mutation probability calculation formula to calculate the tree growth mutation probability value; A tree growth mutation index is preset. If the growth mutation probability value is greater than or equal to the tree growth mutation index, it is set as a multi-source inhibition tree. If the growth mutation probability value is less than the tree growth mutation index, it is set as a single-source inhibition tree. The trees at various locations before the line is put into operation are classified into multi-source inhibition trees and single-source inhibition trees, and the growth mutation distribution of trees at all locations after the line is put into operation is obtained.

6. The method for environmental impact assessment of power transmission construction projects based on big data analysis according to claim 5, characterized in that: The tree adaptability value, line threat assessment value, and growth mutation probability value obtained from the analysis are introduced into the transmission system stability analysis strategy to evaluate the transmission line environment matching degree, including: Obtain the calculated growth mutation probability value, tree adaptation value of the historical monitoring period, and line threat assessment value of the historical monitoring period and import them into the environmental matching degree calculation formula to calculate the current environmental matching degree. The environmental matching degree calculation formula is: ； in, is the transmission line environment matching degree of the current monitoring period; is the tree suitability assessment value for the historical monitoring period; is the matching ratio coefficient of the environmental assessment item.

7. The method for environmental impact assessment of power transmission construction projects based on big data analysis according to claim 6, characterized in that: Based on the transmission line environment matching evaluation results, real-time environmental optimization suggestions are generated, including: when When ≥0.8, a maintenance operation recommendation is generated to maintain the current transmission line operating parameters; When 0.5≤ When <0.8, generate environmental optimization adjustment suggestions; when When <0.5, an emergency intervention recommendation is generated.

8. A system for environmental impact assessment of power transmission construction projects based on big data analysis, for implementing the method for environmental impact assessment of power transmission construction projects based on big data analysis as claimed in any one of claims 1 to 7, characterized in that: The system includes the following modules: Environmental parameter acquisition module, threat branch screening module, line threat assessment module, environmental matching evaluation module and environmental optimization suggestion output module; The environmental parameter acquisition module is used to obtain electric field data during the operation of the transmission line and tree growth monitoring data at different locations along the transmission line; The threatening branch screening module is used to import electric field data and tree growth monitoring data into the tree growth impact analysis strategy to perform tree adaptability analysis, and to screen and obtain a set of potential threatening branches based on the tree adaptability analysis results; The line threat assessment module is used to import the growth data of potential threat branches into the line security impact analysis strategy to perform line threat analysis; The environmental matching evaluation module is used to import the tree adaptability value, line threat assessment value and growth mutation probability value obtained from the analysis into the transmission system stability analysis strategy to perform transmission line environmental matching evaluation; The environmental optimization suggestion output module generates environmental optimization suggestions in real time according to the transmission line environment matching evaluation results.

Images