Logic optimization system and machine site quantitative evaluation method for field survey work of large land wind power project

Abstract

The invention discloses a logic optimization system and a machine site quantitative evaluation method for on-site survey work of a large land wind power project, and the method comprises the following steps: 1, determining the weight values of influence factors corresponding to a survey site and a project, and calculating the sum of the weights of the influence factors as 1; 2, performing field personnel configuration, and planning a field work development plan; 3, carrying out field data recording, and inputting the data into the model according to categories; 4, parameters are corrected, comprehensive sensitive factors of all the point locations are measured and calculated, and the point locations are sorted and summarized; 5, generating a survey result table and a field survey report; the method can save the survey time and labor cost, improve the survey result precision, and tamp the micro-siting work basis in the early working stage of the wind power project.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new energy wind power technology, in particular to a logic optimization system for on-site reconnaissance work of large-scale onshore wind power projects and a site quantitative evaluation method. BACKGROUND

[0002] The number of units of a large-scale onshore wind power project can reach several hundred. According to the micro-siting specification, the on-site information of each site needs to be recorded, and multiple professionals, unit suppliers and owner parties are involved. During on-site reconnaissance, each staff member pays attention to different information, including land properties, surface attachments, avoidance areas and their distances, land acquisition, construction and installation conditions, resource conditions and geological conditions. During the on-site reconnaissance work, problems such as tight time, failure to record and subsequent data sorting work confusion often occur. Under the condition of a certain project cycle, how to ensure the standardized, efficient and low-error-rate development of on-site reconnaissance work is the pain point faced by large-scale onshore wind power projects in the micro-siting stage. SUMMARY

[0003] The purpose of the present application is to overcome the above-mentioned deficiencies and provide a logic optimization system for on-site reconnaissance work of large-scale onshore wind power projects and a site quantitative evaluation method. The system standardizes the reconnaissance work process, clearly defines the work responsibilities and boundaries of on-site personnel, assists on-site personnel in systematically recording and sorting reconnaissance information, checks key points of interest, and assists in customizing programs to provide a centralized storage and intelligent retrieval platform for reconnaissance information, supports collaboration and efficient review, and finally generates a reconnaissance report to ensure that the entire micro-siting work is carried out efficiently, orderly, with low error rate and pertinence.

[0004] To solve the above technical problems, the technical solution adopted by the present application is as follows: a logic optimization system for on-site reconnaissance work of large-scale onshore wind power projects and a site quantitative evaluation method, comprising the following steps: Step 1: determining the reconnaissance point and the corresponding influence factor weight value of the project, and the total weight of the influence factor is 1; Step 2: configuring on-site personnel and planning on-site work development plan; Step 3: developing on-site data recording and inputting data into the model according to categories; Step 4: correcting parameters, calculating the comprehensive sensitive factor of each point, and sorting and summarizing the points; Step 5: generating a reconnaissance result table and a on-site reconnaissance report.

[0005] Preferably, the specific process of step 1 is as follows: According to the wind farm resource distribution, combined with project geographic information data, geological data to determine the project reconnaissance stage point, all the points in the site that meet the construction conditions are selected, and a part of the points are deleted and selected. According to the preliminary determination of the project, the weight value a of each influencing factor is determined i The sum of the weight values of each influencing factor is 1.

[0006] Preferably, the weight value of the influencing factor in step 1 is preliminarily determined by the internal work, which can be adjusted according to the actual situation of the project. The weight value corresponding to the resource condition is reduced in the high wind speed area with good wind energy resource. The weight value corresponding to the geological condition is increased in the area where geological disasters frequently occur.

[0007] Preferably, the influencing factors of the conventional wind power project in step 1 include the shielding condition of the main wind direction, the height of the ground vegetation, the ground type, the road, the high voltage line, the civil building, the land ownership, the geological problem, the platform size, the road direction, and the corresponding weight values are 0.15, 0.05, 0.05, 0.05, 0.10, 0.10, 0.10, 0.20, 0.10 and 0.10.

[0008] Preferably, the field personnel configuration in step 2 includes the owner, the designer and the unit supplier, and at least 2 groups of corresponding professional personnel are configured according to the project influencing factors for large land wind power projects.

[0009] Preferably, the field work plan in step 2 is formulated according to the expected duration of the reconnaissance, including the route of the day, the grouped personnel and the expected point number.

[0010] Preferably, step 3 specifically includes the following processes: Step 3.1, register user information: after registration, the user imports the project information, including the layout of the site, the road distribution results in the previous internal work; the program will automatically generate all the influencing factors and the corresponding weight values according to the project information, and display the corresponding influencing factors according to the professional information of the user; Step 3.2, select the site number: all the point information has been imported in step 1, including the geographic coordinates and the site number; in this step, the specific site number is called; Step 3.3, take pictures at the point, and keep the image data: according to the specification, each point needs to include southeast, southwest and northwest four direction image data, if there are influencing factors around, the number of photos can be increased accordingly; Step 3.4, assign single sensitive factor of influencing factor, and input detailed information of corresponding limiting factor, repeat this step until the corresponding professional personnel assign and input all the influencing factors; Step 3.5, repeat steps 3.2~3.4 until all the points are recorded. Step 3.6, save data: after all groups of all professionals record information upload and save, the program combines the point-by-point information input by different professionals under a project module, facilitating subsequent review.

[0011] Preferably, the calculation formula of the comprehensive sensitivity factor in step 4 is:

[0012] Wherein, : the comprehensive sensitivity factor of the point numbered xx; : the weight value of the influencing factor; : the single sensitivity factor of the influencing factor according to the field situation; : the number of influencing factors; The single sensitivity factor of an influencing factor ranges from 0 to 10, and the specific value is determined according to the difficulty of the field situation. If there is a problem that is not conducive to project construction, the value is 10 and the reason is marked. If there is no adverse situation, the value is 0. If there is a single influencing factor of a single professional with a revolutionary opinion, it can be marked as 999, and the revolutionary reason needs to be explained in detail in the situation description column.

[0013] Preferably, the sorting and summarizing rule in step 4 is: according to the sorting result of all point comprehensive sensitivity factors, all points exceeding 10 points are marked as all deleted; points not exceeding 10 points are sorted from large to small, and the number of alternative points should be about 5-10% of the number of selected points according to relevant specifications. If the total number of project sites is not enough, all points except selected points are set as alternative points; the first 30% of the selected points should be marked as key attention to facilitate subsequent adjustment of the scheme during construction.

[0014] Preferably, the specific process of step 5 is: The point-by-point information input by different professionals in the program is combined under a module, and a single information can be traced back to the registration personnel at any time, which is convenient for subsequent problem finding; the weight value of the influencing factor can be adjusted according to the need in the result export stage, and any single influencing factor can be sorted; the model has a point-by-point information template to ensure that the field reconnaissance report is generated according to a unified standard.

[0015] Advantages of the present application: 1. The traditional reconnaissance work takes a long time and is prone to point confusion, and it is difficult to reproduce key point information only by memory, increasing the actual construction difficulty. The method of the present application can save reconnaissance time and labor cost, and improve the accuracy of reconnaissance results, and lay a solid foundation for the micro-siting work before the start of the wind power project.

[0016] 2. This invention standardizes the site survey workflow, clarifies the responsibilities and boundaries of on-site personnel, assists on-site personnel in systematically recording and organizing site survey information, identifies key points of concern, and provides a centralized storage and intelligent retrieval platform for site survey information through customized programs, supports collaboration and efficient review, and ultimately generates a site survey report, ensuring that the entire micro-site selection work is carried out efficiently, orderly, with a low error rate, and in a targeted manner.

[0017] 3. This invention provides a logical optimization and numerical integration model for on-site surveys of large-scale onshore wind power projects, effectively addressing the problems of time constraints, insufficient recording time, and disorganized data processing during the on-site survey phase. The key innovation of this method lies in its quantitative evaluation method for turbine locations. Professionals input information relevant to their respective fields, and the model calculates critical coefficients for each location. Locations with higher values ​​are identified as key areas requiring focused attention. During actual construction, these areas can be prioritized to overcome technical challenges and effectively reduce construction risks.

[0018] 4. This method has a certain degree of applicability and is more suitable for the micro-site reconnaissance work of large-scale wind farm sites under the large-scale base model. Using this method, site survey personnel can collaboratively record and verify site information, optimize the logic of on-site work cooperation, greatly shorten the site survey cycle, and play a significant role when project schedules are tight. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating a logic optimization system and a quantitative evaluation method for turbine locations used in on-site surveys of large-scale onshore wind power projects. Detailed Implementation

[0020] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0021] Example 1: As Figure 1 As shown, a logic optimization system and a quantitative evaluation method for turbine locations for on-site reconnaissance of large-scale onshore wind power projects include the following steps: Step 1: Determine the site survey locations and the corresponding weight values ​​of influencing factors. Based on the distribution of wind farm resources and combined with project geographic information data, geological data, and other materials, determine the sites for the project survey stage. It is recommended that this stage adopt the principle of selecting all eligible sites within the site, reserving some sites for deletion and as backup options. Based on the internal work, preliminarily determine the weight values ​​of each influencing factor for this project. The sum of the weights of each influencing factor is 1, as shown in the following formula. The weight values of the influencing factors of conventional wind power projects are shown in Table 1. The actual weight values can be adjusted according to the actual situation. For example, if the project is located in an area with good wind energy resources, the overall resource is a medium-high wind speed area, and the weight value corresponding to the resource condition can be reduced to a certain extent; if the project is located in an area with frequent geological disasters, the weight value corresponding to the geology should be increased to a certain extent.

[0022]

[0023] wherein, : weight value of the influencing factor; : number of influencing factors.

[0024] Table 1: Weight value statistics table of influencing factors of conventional wind power projects

[0025] Step 2, on-site personnel configuration, plan the on-site work plan. Large-scale onshore wind power projects generally have a capacity of tens to millions of kW or more, and there are many site points. Considering a certain number of alternative points, the reconnaissance work is expected to last for several weeks. According to the requirements of the specifications, it needs to include the owner, the designer and the machine supplier. In order to shorten the work cycle, according to the project influencing factors, at least 2 groups and more of corresponding professional personnel should be configured, and the daily route, grouped personnel and estimated point number should be planned before the on-site work.

[0026] Step 3, record the on-site data and input the model according to the category.

[0027] 3.1, register user information. The program will automatically generate all the influencing factors and corresponding weight values involved according to the professional information in the user information.

[0028] 3.2, select the site number. All point information has been imported in step 1 in the program, including geographic coordinates and site number. In this step, the specific site number is called.

[0029] 3.3, take pictures at the point and keep image data. According to the requirements of the specifications, each point needs to include image data in the east, south, west and north directions. If there are influencing factors around, the number of photos can be increased accordingly.

[0030] 3.4, assign single sensitive factors of influencing factors, and input detailed information of corresponding limiting factors. Repeat this step until all influencing factors corresponding to the professional personnel are assigned and inputted.

[0031] 3.5, repeat steps 3.2-3.4 until all point records are completed.

[0032] 3.6, save information. After all groups of all professionals record information upload and save, the program will combine the point-by-point information input by different professionals under one module, making it easy to view later.

[0033] Step 4, correct parameters, measure each point comprehensive sensitive factor, sort and summarize.

[0034]

[0035] : the comprehensive sensitive factor of the point numbered xx; : the weight value of the influencing factor; : the single sensitive factor of the influencing factor according to the site condition; : the number of influencing factors.

[0036] The single sensitive factor of an influencing factor ranges from 0 to 10, and the specific value is determined according to the difficulty of the site condition. If there is a problem that is not conducive to project construction, the value is 10, and if there is no adverse situation, the value is 0. If there is a single influencing factor of a single professional with a revolutionary opinion, it can be marked as 999, and the revolutionary reason needs to be explained in detail in the situation description column.

[0037] According to the sorting results of all point comprehensive sensitive factors, all points exceeding 10 points are marked for deletion. Points that do not exceed 10 points are sorted from large to small. According to relevant specifications, the number of selected points should be about 5-10% of the selected points. If the total number of points is not enough, all points except the selected points are set as selected points. The first 30% of the selected points should be marked as key points for attention, which is convenient for adjusting the scheme during subsequent construction.

[0038] Step 5, generate the reconnaissance results table and site reconnaissance report. The point-by-point information input by different professionals in the program will be combined under one module, and a single information can be traced back to the registration personnel at any time, which is convenient for subsequent problem finding. In addition, the weight value of the influencing factor can be adjusted according to the needs during the export of the results, and the sorting of any single influencing factor can be found. The model has a point-by-point information template, which ensures that the site reconnaissance report is generated according to the unified standard.

[0039] Example 2: Taking a certain hilly wind power project in Inner Mongolia as an example, the specific implementation steps and methods of the present application are introduced in detail.

[0040] The total installed capacity of the project is 1 million kW, and a total of 186 points are arranged in the early stage of the reconnaissance work, distributed in two east and west sites. The project is located in the hilly area of Inner Mongolia, and most of the sites are pastoral areas, with better overall resource conditions than general wind power projects, and there are collective pasture property disputes in some areas.

[0041] Step 1: Determine the 186 survey points and the corresponding impact factor weight values.

[0042] Step 2: On-site personnel configuration and planning of on-site work. Due to the tight project schedule, only 10 days are reserved for the survey. Two groups of personnel are configured to work at two sites, each group consisting of design personnel (resource professionals, planning professionals, civil engineering professionals, etc.), the owner party, and the machine supplier, with a total of 4-5 people in each group. Considering the uncontrollable factors such as weather, it is planned to visit 10-12 machine positions per day for each group. In addition, the daily route and corresponding machine number are determined based on the shortest route principle.

[0043] Step 3: On-site data recording and inputting into the program. Before the day's trip, each group of personnel logs into their personal interface, and upon arrival at the point, they judge the sensitive factors corresponding to the impact factors of each professional, and quickly record the on-site information and image data. Repeat the above operation at each point. After the field work is completed, review the recorded information for the day, check for omissions, and ensure the accuracy of the information.

[0044] Step 4: Correction of parameters, calculation of comprehensive sensitive factors of each point, and summary. The survey work of this project is planned to be completed within 10 days, but due to weather reasons, it is stopped for 2 days, and all points are confirmed to be completed within 8 days. During the actual survey work, it is found that the specific problems of this project points are concentrated in land acquisition difficulties, existence of surrounding built projects and dense high-voltage lines, serious obstruction of low-lying resources in the city, and poor construction conditions, and insufficient platform range. Adjust the weight values of the impact factors in the model, and the adjusted values are shown in the table below. According to the adjusted parameters, the comprehensive sensitive factors of each point are calculated, and the results are as follows: 44 points exceed 10 points, with overturning factors, 23 points are deleted due to land acquisition difficulties, 8 points are deleted due to the existence of surrounding built projects and dense high-voltage lines, 4 points are deleted due to serious obstruction of low-lying resources, and 9 points are deleted due to poor construction conditions. In addition, 22 machine positions have sensitive factors exceeding 8 points, marked as alternative points. The remaining 120 positive points are determined to be correct after the survey work, and all consider avoiding residential areas, ecological red lines, mining areas, high-voltage lines, and highways and railways according to the requirements.

[0045] Table 2: Statistical table of impact factor weight values of the wind power project

[0046] Step 5: Generate the survey results table and on-site survey report. The survey report of this project is completed within 1 day after the completion of the on-site work, which is nearly 1 week faster than the traditional manual method. As the project progresses, the on-site information of the machine position needs to be checked during the process of various procedures, and the database of this program is called more than hundreds of times, ensuring the orderly progress of the construction phase.

[0047] The above embodiments are only preferred technical solutions of the present application, and should not be regarded as a limitation of the present application. The protection scope of the present application should be the technical solutions recited in the claims, including equivalent replacement solutions of the technical features recited in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present application.

Claims

1. A logic optimization system and a quantitative evaluation method for turbine location sites for on-site reconnaissance of large-scale onshore wind power projects, characterized in that, Includes the following steps: Step 1: Determine the survey points and the corresponding weight values ​​of the influencing factors for the project. The total weight of the influencing factors is 1. Step 2: Assign on-site personnel and plan the on-site work. Step 3: Conduct on-site data recording and input the data into the model according to category; Step 4: Adjust parameters, calculate the comprehensive sensitivity factor of each point, and sort and summarize the points; Step 5: Generate the site survey results table and site survey report.

2. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects as described in claim 1, characterized in that, Step 1 is as follows: Based on the distribution of wind farm resources and combined with project geographic information data and geological data, the site survey locations were determined. All locations within the site that met the construction conditions were selected, with some locations reserved for deletion and as backup options. Based on the preliminary work, the weight values ​​'a' of each influencing factor for this project were determined. i The total weight of each influencing factor is 1.

3. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 2, characterized in that, The weight values ​​of influencing factors in step 1 are initially determined through office work and can be adjusted according to the actual situation of the project. For projects in medium-to-high wind speed areas with good wind energy resources, the weight corresponding to resource conditions should be reduced, while for projects in areas prone to geological disasters, the weight corresponding to geological conditions should be increased.

4. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 1, characterized in that, In step 1, the influencing factors of conventional wind power projects include the obstruction of the prevailing wind direction, the height of surface vegetation, land type, roads, high-voltage lines, residential buildings, land ownership, geological issues, platform size, and road direction, with corresponding weight values ​​of 0.15, 0.05, 0.05, 0.05, 0.10, 0.10, 0.10, 0.20, 0.10, and 0.10, respectively.

5. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 1, characterized in that, Step 2 involves on-site personnel from the owner, the designer, and the turbine supplier. For large-scale onshore wind power projects, at least two or more groups of professionals should be assigned based on the project's influencing factors.

6. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 1, characterized in that, Step 2 involves developing a field work plan based on the estimated duration of the reconnaissance, including the daily route, group personnel, and expected arrival point numbers.

7. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 1, characterized in that, Step 3 specifically includes the following processes: Step 3.1: Register user information: After registration, the user imports project information, including the results of the camera layout and road distribution in the previous inner page work; the program will automatically generate all the influencing factors involved and their corresponding weight values ​​based on the project information, and display the corresponding influencing factors according to the user's professional information; Step 3.2: Select aircraft stand number: All location information, including geographical coordinates and aircraft stand number, has been imported into the program in Step 1; in this step, you can simply call up the specific aircraft stand number. Step 3.3: Take photos at the designated locations and preserve the image data: According to the specifications, each location must include image data in four directions: east, south, west, and north. If there are influencing factors in the surrounding area, the number of photos can be increased accordingly. Step 3.4: Assign values ​​to the single sensitivity factor of the influencing factors and enter the detailed information of the corresponding limiting factors. Repeat this step until all influencing factors for the professional have been assigned values ​​and entered. Step 3.5: Repeat steps 3.2 to 3.4 until all points have been recorded; Step 3.6, Save Data: After all groups and professionals have uploaded and saved their recorded information, the program will merge the point information entered by different professionals into one project module for easy viewing later.

8. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 1, characterized in that, The formula for calculating the comprehensive sensitivity factor in step 4 is as follows: in, The comprehensive sensitivity factor of the location numbered xx; : Weight values ​​of influencing factors; : Determine the influencing factors and single sensitive factors based on the on-site situation; Number of influencing factors; The range of a single sensitivity factor for a certain influencing factor is 0 to 10. The specific value depends on the difficulty of the situation on site. If there are problems that are not conducive to the project construction, the value is 10 and the reason is marked. If there are no adverse situations, the value is 0. If a single influencing factor belonging to a single profession has a subversive opinion, it can be marked as 999, and the subversive reason must be explained in detail in the situation description column.

9. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 1, characterized in that, The sorting summary rules in step 4 are as follows: Based on the comprehensive sensitivity factor sorting results of all points, all points exceeding 10 points are considered to have a disruptive impact and are marked for deletion; points below 10 points are sorted from largest to smallest. According to relevant specifications, the number of candidate points should be about 5-10% of the selected points. If the total number of project control points is insufficient, all points except the selected points are set as candidate points; the top 30% of the selected points should be marked as key points of concern to facilitate adjustments to the plan during subsequent construction.

10. The logic optimization system and quantitative evaluation method for site surveys of large-scale onshore wind power projects according to claim 1, characterized in that, The specific process of step 5 is as follows: The location information entered by different professionals in the program will be merged into one module, and a single piece of information can be traced back to the registered person at any time, which is convenient for finding problems later. During the results export stage, the weight values ​​of influencing factors can be adjusted as needed, and any single influencing factor can be searched and sorted. The model comes with templates for each point, ensuring that site survey reports are generated according to a unified standard.

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