Power grid relocation benefit evaluation system based on big data analysis

Abstract

The invention relates to the technical field of power grid relocation and relocation data processing, and particularly discloses a power grid relocation and relocation benefit evaluation system based on big data analysis, and the system is provided with a power grid relocation and relocation data preprocessing module, a data processing module and a power grid relocation and relocation benefit optimization module, so that data error processing caused by inconsistent data formats can be reduced; the accuracy and reliability of relocation and relocation power grid data processing are improved, redundant data and invalid information can be removed, the workload of relocation and relocation power grid data processing is reduced, multi-dimensional data including performance parameter data and environment data of power grid relocation and relocation can be deeply known, and problems and low-efficiency links in power grid relocation and relocation can be identified. Therefore, targeted improvement and resource allocation are carried out, the number of faults is reduced, the reliability and stability of overall power grid relocation and relocation and relocation work efficiency of the power grid are improved, various benefits brought by power grid relocation and relocation are quantified more accurately, and decision makers can know the actual effect of power grid relocation and relocation more clearly.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid relocation data processing, and in particular to a power grid relocation benefit evaluation system based on big data analysis. Background Art

[0002] At present, with the continuous increase in electricity demand, the demand for power grid relocation is also increasing. Therefore, by evaluating the relocation of the power grid, we can adapt to the gradual increase in electricity demand. However, due to certain data processing limitations in the multi-dimensional data collection and analysis involved in the relocation process of the power grid, it is impossible to obtain comprehensive and accurate data support when evaluating the benefits of power grid relocation, resulting in deviations in the results of the evaluation of power grid relocation, which cannot truly reflect the actual effect of the power grid relocation.

[0003] For example, the invention patent with the announcement number CN104142976B discloses a power grid health assessment method and a power grid health assessment system, including: obtaining the ratio of the standard deviation of the latitude to be assessed of any regional power grid to the average value, and complementing the ratio with 1 to obtain the coordination score of the latitude to be assessed; obtaining the difference between the target value of the first assessment cycle and the second assessment cycle of the latitude to be assessed of any regional power grid, and obtaining the ratio of the difference to the target value of the first cycle as the development score, wherein the first cycle is earlier than the second cycle; establishing two-dimensional coordinates with the two latitudes of coordination and development in the power grid health assessment result display area, and dividing the coordinate area into four sub-areas; if the coordination score is greater than the preset coordination score, and the development score is greater than the preset development score, then displaying the coordination score and the development score with an identification mark at the corresponding coordinates of the demonstration area.

[0004] For example, the invention patent with announcement number CN103914788B discloses a reliability assessment method for a multi-link system of a power grid. It quantifies the impact of the transmission network on the reliability of the distribution network through the load-power reliability equivalence, breaking through the limitation of the traditional distribution network reliability assuming that the power supply is completely reliable, and the calculation result is in line with the actual power grid engineering. In addition, this method uses the loop as the basic unit for transmission network reliability assessment, and further forms a set of anticipated accidents, which not only helps to significantly reduce the number of system states concentrated in anticipated accidents, but also facilitates the statistical analysis of reliability engineering data. It can be used to analyze the sensitivity of reliability indicators to transmission network / distribution network related reliability parameters and their enhancement measures, thereby further guiding the planning, operation and maintenance of power supply companies.

[0005] Based on the above solutions, it is found that most of the current power grid assessment schemes directly evaluate the collected power grid data. If the collected power grid data is inaccurate or incomplete, it will cause a large deviation between the power grid assessment results and the actual power grid results to a large extent, affecting the accurate and reliable operation of the power grid. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a power grid relocation benefit evaluation system based on big data analysis, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a power grid relocation benefit evaluation system based on big data analysis, comprising: The power grid migration data preprocessing module is used to obtain the initial big data of the migrated power grid based on the power grid migration process, and perform preprocessing to obtain the performance data and environmental data of the migrated power grid.

[0008] The data processing module is used to analyze the performance data and environmental data of the relocated power grid respectively, and obtain the power grid relocation performance benefit index and the power grid relocation environmental benefit index.

[0009] The grid relocation benefit optimization module is used to comprehensively analyze the grid relocation performance benefit index and the grid relocation environmental benefit index to obtain the grid relocation benefit evaluation index, and match it with the grid relocation benefit optimization strategy corresponding to each grid relocation benefit evaluation index interval, and finally optimize the grid relocation benefit.

[0010] The power grid relocation database is used to store the preset reference electric power for relocation operation, the correction factor corresponding to the preset electric power of the relocated power equipment, the preset reference temperature of the power equipment during the relocation process, the correction factor corresponding to the preset temperature of the relocated power equipment, the influence factor corresponding to the preset unit value of the total cable relocation length, the preset allowable failure rate of the power grid relocation, the correction factor corresponding to the preset power grid relocation failure rate, the weight factor corresponding to the preset performance index of the relocated power grid equipment, the weight factor corresponding to the preset climate impact index of the relocated power grid, the preset equipment noise reference decibel, the correction factor corresponding to the preset noise decibel, the preset reference magnetic field strength, the correction factor corresponding to the preset magnetic field strength, the weight factor corresponding to the preset power grid relocation performance benefit index, the weight factor corresponding to the preset power grid relocation environmental benefit index, and the power grid relocation benefit optimization strategy corresponding to each power grid relocation benefit evaluation index interval.

[0011] As a further solution, the initial big data of the relocated power grid is obtained, and the specific acquisition process is as follows: A power grid migration benefit subsystem is extracted from the power grid migration process, and the power grid migration benefit subsystem is used to store various data of the power grid migration process, so as to obtain initial big data of the migrated power grid through the power grid migration benefit subsystem.

[0012] As a further solution, the performance data and environmental data of the relocated power grid are obtained, and the specific analysis process is as follows: The initial big data of the relocated power grid is preprocessed, wherein the preprocessing specifically includes merging, noise removal, outlier removal, missing value filling, standardization and normalization, and finally the performance data and environmental data of the relocated power grid are obtained.

[0013] As a further solution, the power grid relocation performance benefit index has a specific analysis process of: comprehensively analyzing the total length of cables relocated in the relocated power grid, the power grid relocation failure rate and the performance indicators of the relocated power grid equipment to obtain the power grid relocation performance benefit index.

[0014] As a further solution, the specific analysis process of the environmental benefit index of power grid relocation is as follows: The climate average temperature and climate average humidity during the relocation process of the relocated power grid are comprehensively analyzed through weighted average to obtain the climate impact index of the relocated power grid.

[0015] The environmental benefit index of power grid relocation is obtained by comprehensively analyzing the climate impact indicators of the relocated power grid, the maximum noise decibel of the equipment during the relocation process, and the highest magnetic field intensity of the relocated power grid during the relocation process.

[0016] As a further solution, the evaluation index of the benefits of power grid relocation is analyzed as follows: The performance benefit index and environmental benefit index of power grid relocation are comprehensively analyzed to obtain the power grid relocation benefit evaluation index. The specific analysis formula is:

[0017] In the formula, It is an evaluation index of the benefits of power grid relocation. is the performance benefit index of power grid relocation, is the environmental benefit index of power grid relocation, e is a natural constant, is the weight factor corresponding to the power grid migration performance benefit index preset in the power grid migration database, It is the weight factor corresponding to the power grid relocation environmental benefit index preset in the power grid relocation database.

[0018] As a further solution, the above mentioned optimization of the benefits of power grid relocation is as follows: The power grid relocation benefit evaluation indicators are matched with the power grid relocation benefit optimization strategies corresponding to each power grid relocation benefit evaluation indicator interval to obtain the power grid relocation benefit optimization strategy, and finally the power grid relocation benefit is optimized through the power grid relocation benefit optimization strategy.

[0019] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention can reduce erroneous processing caused by inconsistent data formats by preprocessing the initial big data of the relocated power grid, thereby improving the accuracy and reliability of the relocated power grid data processing. At the same time, it can remove redundant data and invalid information, reduce the workload of the relocated power grid data processing, and provide an accurate data basis for subsequent relocated power grid data processing.

[0020] (2) By analyzing the performance data of the relocated power grid, the present invention can identify the problems and inefficient links encountered in the relocation of the power grid, so as to carry out targeted improvements and resource allocation, reduce the number of failures, and improve the reliability, stability and efficiency of the overall relocation of the power grid; by analyzing the environmental data of the relocated power grid, the operating parameters of the power equipment during the relocation process can be adjusted and protective measures can be taken to reduce the negative impact of extreme weather on the operation of the power equipment. At the same time, the noise and magnetic field of the power grid during the relocation process can be analyzed to optimize the relocation layout of the power grid.

[0021] (3) By optimizing the benefits of power grid relocation, the present invention can gain an in-depth understanding of the multi-dimensional data of power grid relocation, including performance parameter data and environmental data, so as to more accurately quantify the various benefits brought about by power grid relocation, which helps decision makers to more clearly understand the actual effects of power grid relocation and provide a solid data foundation for subsequent power grid relocation decisions and planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0023] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0024] Figure 2 This is a current variation curve diagram of the power equipment involved in the present invention. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: a power grid migration benefit evaluation system based on big data analysis, including a power grid migration data preprocessing module, a data analysis module, a power grid migration benefit optimization module and a power grid migration database.

[0027] The power grid relocation data preprocessing module is connected to the data analysis module, the data analysis module is connected to the power grid relocation benefit optimization module, and the data analysis module and the power grid relocation benefit optimization module are respectively connected to the power grid relocation database.

[0028] The power grid migration data preprocessing module is used to obtain the initial big data of the migrated power grid based on the power grid migration process, and perform preprocessing to obtain the performance data and environmental data of the migrated power grid.

[0029] The data processing module is used to analyze the performance data and environmental data of the relocated power grid respectively, and obtain the power grid relocation performance benefit index and the power grid relocation environmental benefit index.

[0030] The grid relocation benefit optimization module is used to comprehensively analyze the grid relocation performance benefit index and the grid relocation environmental benefit index to obtain the grid relocation benefit evaluation index, and match it with the grid relocation benefit optimization strategy corresponding to each grid relocation benefit evaluation index interval, and finally optimize the grid relocation benefit.

[0031] The power grid relocation database is used to store the preset reference electric power for relocation operation, the correction factor corresponding to the preset electric power of the relocated power equipment, the preset reference temperature of the power equipment during the relocation process, the correction factor corresponding to the preset temperature of the relocated power equipment, the influence factor corresponding to the preset unit value of the total cable relocation length, the preset allowable failure rate of the power grid relocation, the correction factor corresponding to the preset power grid relocation failure rate, the weight factor corresponding to the preset performance index of the relocated power grid equipment, the weight factor corresponding to the preset climate impact index of the relocated power grid, the preset equipment noise reference decibel, the correction factor corresponding to the preset noise decibel, the preset reference magnetic field strength, the correction factor corresponding to the preset magnetic field strength, the weight factor corresponding to the preset power grid relocation performance benefit index, the weight factor corresponding to the preset power grid relocation environmental benefit index, and the power grid relocation benefit optimization strategy corresponding to each power grid relocation benefit evaluation index interval.

[0032] Specifically, the initial big data of the relocated power grid is obtained in the following specific process: A power grid migration benefit subsystem is extracted from the power grid migration process, and the power grid migration benefit subsystem is used to store various data of the power grid migration process, so as to obtain initial big data of the migrated power grid through the power grid migration benefit subsystem.

[0033] It needs to be explained that the above-mentioned extraction of the grid migration benefit subsystem from the grid migration process, the specific extraction process is: during the grid migration process, data will be collected from various data sources (such as sensors, project management, etc.), and these data will be integrated and stored in the grid migration benefit subsystem. When it is necessary to obtain data in the grid migration process, it can be directly obtained through the grid migration benefit subsystem.

[0034] Specifically, the performance data and environmental data of the relocated power grid are obtained, and the specific analysis process is as follows: The initial big data of the relocated power grid is preprocessed, wherein the preprocessing specifically includes merging, noise removal, outlier removal, missing value filling, standardization and normalization, and finally the performance data and environmental data of the relocated power grid are obtained.

[0035] It should be noted that the purpose of preprocessing the initial big data of the relocated power grid mentioned above is to improve the quality of the power grid relocation data and ensure the accuracy and completeness of the power grid relocation data. The initial big data of the relocated power grid can be merged through database technology (such as SQL query) to form a unified data set; filtering technology (such as median filtering, Gaussian filtering) can be used to remove various interferences and noise generated during the collection and transmission of the initial big data of the relocated power grid; statistical methods (such as box plots, Z-score detection) are used to identify and remove outliers that are obviously deviated from the normal range; interpolation methods (such as mean interpolation, median interpolation, linear interpolation, multiple interpolation, etc.) are used to fill in missing data values ​​to ensure the integrity of the power grid relocation data. The initial big data of the relocated power grid can be standardized and normalized by using conversion functions in Python (such as fit function, transform function), which can reduce the impact of dimensional differences between different features.

[0036] Furthermore, the performance data of the relocated power grid specifically includes the total length of the relocated cables of the relocated power grid, the total number of failures during the relocation process, the total number of relocated power equipment, and the maximum operating temperature, average operating current, and average operating voltage of each relocated power equipment during the relocation process.

[0037] It should be noted that the total length of the cables relocated in the above-mentioned relocated power grid can be obtained by measuring the cable length of the relocated power grid on the spot through a measuring instrument tool. The total number of faults in the relocation process is obtained by real-time recording and statistics of the faults occurring in the relocation process. The total number of relocated power equipment can be obtained by recording and summarizing the relocated power equipment in the process of relocating the power grid. The maximum operating temperature of each relocated power equipment during the relocation process can be monitored and recorded in real time by a temperature sensor. The temperature of each relocated power equipment during the relocation process is recorded in real time, and the temperatures of each relocated power equipment during the relocation process are arranged in order from small to large, and finally the maximum operating temperature of each relocated power equipment during the relocation process is obtained. The operating current and voltage of the power equipment are monitored and recorded in real time by a power monitoring system, and the average value of the current and voltage is calculated to finally obtain the average operating current and average operating voltage of each relocated power equipment during the relocation process.

[0038] It should be explained that the operating current of the above-mentioned power equipment is not fixed. The operating current of the power equipment is monitored in real time according to the operating time of the migrated power equipment during the power grid migration process. In this embodiment, the power equipment current monitoring time period is set to 1 minute. The specific power equipment current change curve is shown in Figure 2.

[0039] It needs to be explained that by observing Figure 2 The current change curve of the power equipment shows that the current value of the power equipment is monitored every 6 seconds. During the detection period, the overall trend and growth trend of the current indicate that the power equipment is in a high-load operation state during this period.

[0040] Specifically, the performance data of the relocated power grid is analyzed, and the specific analysis process is as follows: The average operating electric power of each relocated power equipment during the relocation process is obtained by multiplying the average operating current of each relocated power equipment during the relocation process by the average operating voltage.

[0041] The average operating power, maximum operating temperature and total number of relocated power equipment during the relocation process are comprehensively analyzed to obtain the performance index of the relocated power grid equipment. The specific analysis formula is:

[0042] In the formula, In order to relocate the performance indicators of power grid equipment, during the relocation process, the operating power of the relocated power equipment is relatively high, and a more sophisticated power grid relocation design plan is required to ensure the stable operation of the power grid and the safety of the relocated power equipment during the relocation process. When the operating temperature of the relocated power equipment is too high during the relocation process, the tolerance of the insulation materials, metal conductors and other materials of the relocated power equipment will gradually decrease. Long-term high-temperature operation will accelerate the aging process of these materials, shorten the service life of the equipment, and cause aging of the insulation materials of transformers, generators and other equipment, reduce the insulation capacity of the relocated power equipment, and increase the risk of leakage and short circuit. This will not only affect the normal operation of the equipment, but may also cause safety accidents. Therefore, by analyzing the various data in the performance indicators of the relocated power grid equipment, the operating power and temperature of the relocated power equipment can be discovered in time, helping to identify the potential risks of leakage and short circuit, so as to take preventive measures, such as strengthening insulation protection and regular maintenance, timely discovering high temperature phenomena and taking measures, such as adding cooling facilities or adjusting the load, to avoid accelerated aging of insulation materials and metal conductors due to long-term high-temperature operation.

[0043] i is the serial number of each relocated power equipment, i=1, 2, 3...n, and n is the total number of relocated power equipment.

[0044] is the average operating power of the i-th relocated power equipment during the relocation process, which refers to the average value of the power consumed by the relocated power equipment during the entire relocation process.

[0045] The migration operation reference average electric power preset in the power grid migration database refers to the average operating electric power value expected for the migrated power equipment during the entire migration process.

[0046] It is the correction factor corresponding to the electric power of the relocated power equipment preset in the power grid relocation database, which refers to the degree of influence of the change of the electric power of the relocated power equipment on the performance indicators of the relocated power grid equipment. The fitting curve corresponding to the electric power can be obtained by fitting the correspondence between the historical operating current and the historical operating voltage of the relocated power equipment and the electric power of the relocated power equipment. The real-time operating current and operating voltage of the relocated power equipment are brought into the fitting curve corresponding to the electric power, thereby obtaining the correction factor corresponding to the electric power of the relocated power equipment in this embodiment, and the value range is (0, 1).

[0047] is the maximum operating temperature of the i-th relocated power equipment during the relocation process, which refers to the highest temperature value monitored during the relocation process of the power equipment.

[0048] The reference temperature of the power equipment during the migration process preset in the power grid migration database refers to a temperature reference value preset according to the technical specifications, design standards and safety requirements of the equipment when the power grid is migrating equipment.

[0049] It is the correction factor corresponding to the temperature of the migrated power equipment preset in the power grid migration database, which refers to the degree of influence of the temperature change of the migrated power equipment on the performance indicators of the migrated power grid equipment. The temperature change fitting curve of the migrated power equipment can be obtained by fitting the correspondence between the historical working time of the migrated power equipment and the temperature change of the migrated power equipment. The real-time working time of the migrated power equipment is brought into the temperature change fitting curve of the migrated power equipment, thereby obtaining the correction factor corresponding to the temperature of the migrated power equipment in this embodiment, and the value range is (0, 1).

[0050] It should be noted that there is a close relationship between the average operating power and the maximum operating temperature of the above-mentioned relocated power equipment during the relocation process. Generally, the higher the average operating power of the power equipment, the more heat it generates, so the maximum operating temperature will also increase accordingly. This is because higher power means more current passes through the equipment, resulting in more Joule heat. The specific data correspondence between the average operating power and the maximum operating temperature of each relocated power equipment during the relocation process is shown in Table 1: Table 1 Relationship between power and temperature of each relocated power equipment

[0051] It should be explained that, by observing the data change relationship between the average operating power and the maximum operating temperature of each power equipment in Table 1 above, it is found that in the same type of relocated power equipment, the greater the average operating power of the relocated power equipment during the grid relocation process, the higher the corresponding operating temperature will be, and the smaller the average operating power, the lower the corresponding operating temperature will be. For example, when the average operating power of the transformer during the grid relocation process is 500kW, the corresponding maximum operating temperature is 80°C. When the average operating power of the transformer during the grid relocation process is 40kW, the corresponding maximum operating temperature is 40°C.

[0052] The total number of failures during the migration process is divided by the time period corresponding to the migration process to obtain the power grid migration failure rate.

[0053] Furthermore, the specific analysis process of the power grid migration performance benefit index is as follows: The total length of cables to be relocated, the failure rate of the relocated power grid, and the performance indicators of the relocated power grid equipment are comprehensively analyzed to obtain the power grid relocation performance benefit index. The specific analysis formula is:

[0054] In the formula, For the grid relocation performance benefit index, a longer total cable relocation length means more materials and human resources are needed, which will lead to an increase in project costs. At the same time, longer cables require more complex construction techniques, further increasing costs. A longer total cable relocation length will increase construction difficulty. For example, grid relocation in areas with complex terrain and sensitive environments will delay grid relocation progress, thus affecting the completion time of the entire grid relocation. A longer total cable relocation length will increase operation and maintenance costs, because longer cables are more prone to failure and require more frequent inspections and maintenance. A higher grid relocation failure rate will increase the operation and maintenance costs of the grid relocation system and reduce the safety and reliability of the grid relocation system. Affects the stability and quality of power supply; higher performance indicators of relocated power grid equipment, higher performance indicators of relocated power grid equipment means that the performance of relocated power grid equipment is unstable, and the relocated power grid equipment is lacking in load capacity, operating efficiency and other aspects, which will lead to insufficient overall power supply capacity of the relocated power grid and fail to meet electricity demand. At the same time, relocated power grid equipment is more prone to failure problems, increasing the risk of power outages and affecting the efficiency of power grid relocation. Therefore, by analyzing various data of the power grid relocation performance benefit index, it is possible to identify potential problems and challenges in the process of power grid relocation, and take timely measures to improve and optimize, reduce the number of failures, and improve the reliability, stability and efficiency of the overall power grid relocation.

[0055] The total length of cables to be relocated for power grid relocation refers to the total length of all cable lines that need to be relocated or modified when the power grid is relocated.

[0056] The influencing factor corresponding to the unit value of the total cable migration length preset in the power grid migration database refers to the degree of influence of the change in the total cable migration length on the power grid migration performance benefit index. The fitting curve corresponding to the cable migration length can be obtained by fitting the correspondence between the number of historical cable migration buildings and the total cable migration length. The real-time number of buildings is brought into the fitting curve corresponding to the cable migration length, thereby obtaining the influencing factor corresponding to the unit value of the total cable migration length in this embodiment, and the value range is (0, 1).

[0057] The grid migration failure rate refers to the ratio of the number of equipment or system failures caused by various reasons during the grid migration process to the grid migration time.

[0058] The allowable failure rate of power grid migration preset in the power grid migration database refers to the upper limit of the ratio of the number of equipment or system failures caused by various reasons during the power grid migration process to the power grid migration time.

[0059] It is the correction factor corresponding to the power grid migration failure rate preset in the power grid migration database, which refers to the influence of the change of the power grid migration failure rate on the power grid migration performance benefit index. The corresponding relationship between the historical number of power grid migration failures, the historical operating time and the power grid migration failure rate can be used to fit the corresponding fitting curve of the power grid migration failure rate. The real-time number of power grid migration failures and the operating time are brought into the corresponding fitting curve of the power grid migration failure rate, thereby obtaining the correction factor corresponding to the power grid migration failure rate in this embodiment, and the value range is (0, 1).

[0060] It is the performance index of relocated power grid equipment, which refers to the measurement of the operating conditions of relocated power grid equipment during the process of power grid relocation.

[0061] It is the weight factor corresponding to the performance index of the migrated power grid equipment preset in the power grid migration database, which refers to the impact of the change of the performance index of the migrated power grid equipment on the power grid migration performance benefit index. The corresponding relationship between the historical operating time and the historical operating power of the migrated power grid equipment and the performance index of the migrated power grid equipment can be used to fit the corresponding fitting curve of the performance index of the migrated power grid equipment. The real-time operating time and operating power of the migrated power grid equipment are brought into the corresponding fitting curve of the performance index of the migrated power grid equipment, thereby obtaining the weight factor corresponding to the performance index of the migrated power grid equipment in this embodiment, and the value range is (0, 1).

[0062] In this embodiment, by performing nonlinear processing on the total length of cable migration, the failure rate of the migration of the power grid, and the performance index of the migration of the power grid, the differences between the factors can be effectively smoothed, making the final result more accurate, reducing the impact of outliers, and making the evaluation results more stable. This is because the data distribution after nonlinear processing will be more concentrated, reducing the interference of extreme values.

[0063] Specifically, the environmental data of the relocated power grid includes the average climate temperature, average climate humidity, maximum noise decibel of equipment and maximum magnetic field intensity during the relocation process of the relocated power grid.

[0064] It should be noted that the climate average temperature and climate average humidity during the relocation process of the above-mentioned relocated power grid can be obtained from the meteorological department, and the climate average temperature and climate average humidity during the relocation process can be finally obtained by averaging. The maximum noise decibel of the equipment can be measured in real time by using professional noise testing instruments to measure the noise of the relocated power grid during the relocation process to obtain the noise pressure level, and convert it into decibel values. At the same time, the noise decibel values ​​of the relocated power grid during the relocation process are arranged in order from small to large to obtain the maximum noise decibel of the equipment. The highest magnetic field strength can be measured by using professional magnetic field measuring instruments, such as Tesla meters or Hall effect magnetometers, to measure the real-time magnetic field strength of the relocated power grid during the relocation process, and the real-time magnetic field strengths obtained are arranged in order from low to high to obtain the highest magnetic field strength.

[0065] Furthermore, the specific analysis process of the environmental benefit index of power grid relocation is as follows: The climate average temperature and climate average humidity during the relocation process of the relocated power grid are comprehensively analyzed through weighted average to obtain the climate impact index of the relocated power grid.

[0066] It needs to be explained that the main steps of the weighted average comprehensive analysis of the climate average temperature and climate average humidity during the relocation process of the above-mentioned relocated power grid are: setting corresponding weights according to the actual influence of the climate average temperature and climate average humidity on the relocation process of the relocated power grid, and the sum of the weight corresponding to the climate average temperature and the weight corresponding to the climate average humidity is 1, the climate average temperature and the climate average humidity are multiplied by their respective set weights, and the two products are added together to finally obtain the climate impact index of the relocated power grid.

[0067] The climate impact index of the relocated power grid, the maximum noise decibel of the equipment during the relocation process, and the highest magnetic field intensity of the relocated power grid during the relocation process are comprehensively analyzed to obtain the environmental benefit index of the relocation of the power grid. The specific analysis formula is:

[0068] In the formula, The grid relocation environmental benefit index is a high index of climate impact during grid relocation, which means that the climate environment during the grid relocation process is relatively bad. Grid relocation under bad climate conditions will increase the difficulty and complexity of grid relocation, and increase the difficulty and frequency of grid relocation equipment maintenance. When the noise generated by the equipment during the relocation process is high, long-term exposure to the high-decibel noise environment of the grid relocation will cause hearing damage to the grid relocation workers, thereby affecting the efficiency of the grid relocation. During the grid relocation process, people who are exposed to high magnetic field intensity for a long time will face potential health risks. Strong magnetic fields may interfere with electronic equipment and instruments used in the grid relocation process. Such interference may cause unstable equipment operation or even failure, thereby affecting the construction progress and quality. Therefore, by analyzing the various data in the grid relocation environmental benefit index, it is beneficial to adjust the operating parameters of power equipment during the relocation process and take protective measures to reduce the negative impact of extreme weather on the operation of power equipment. At the same time, the grid relocation layout is optimized according to the noise and magnetic field during the relocation process to ensure the stability of the grid relocation.

[0069] The climate impact index for grid relocation refers to an indicator that measures the impact of climate environment on grid relocation.

[0070] The weight factor corresponding to the climate impact index of the relocated power grid preset in the power grid relocation database refers to the impact of the change of the climate impact index of the relocated power grid on the environmental benefit index of the relocation of the power grid. The fitting curve of the climate impact index of the relocated power grid can be obtained by fitting the correspondence between the historical temperature, historical humidity and the climate impact index of the relocated power grid during the power grid relocation process. The real-time temperature and real-time humidity during the power grid relocation process are brought into the fitting curve of the climate impact index of the relocated power grid, thereby obtaining the weight factor corresponding to the climate impact index of the relocated power grid in this embodiment, and the value range is (0, 1).

[0071] The maximum noise decibel of equipment during the grid relocation process refers to the maximum noise level that the grid relocation equipment used in the grid relocation process can generate during operation.

[0072] The equipment noise reference decibel preset in the power grid migration database refers to the preset standard value used to reference and evaluate the noise level of power grid migration equipment in power grid migration projects.

[0073] The correction factor corresponding to the noise decibel preset in the power grid migration database refers to a series of adjustment coefficients preset according to different noise levels during the power grid migration process, which are used to correct and optimize the noise impact. The fitting curve corresponding to the noise decibel can be obtained by fitting the correspondence between the historical number of equipment, the historical operating time of the equipment and the noise decibel of the equipment. The real-time number of equipment and the equipment operating time are brought into the fitting curve corresponding to the noise decibel, thereby obtaining the correction factor corresponding to the noise decibel in this embodiment, and the value range is (0, 1).

[0074] h is the maximum magnetic field intensity of the relocated power grid during the relocation process, which refers to the maximum value of the magnetic field intensity generated in the power grid relocation project.

[0075] The reference magnetic field strength preset in the power grid relocation database refers to the maximum allowable strength value of the magnetic field generated in the power grid relocation project.

[0076] It is the correction factor corresponding to the magnetic field strength preset in the power grid migration database, which refers to a series of adjustment coefficients preset according to different magnetic field strengths during the power grid migration process, which is used to correct and optimize the influence of the magnetic field. The fitting curve corresponding to the magnetic field strength can be obtained by fitting the correspondence between the historical current of the cable in the power grid migration and the magnetic field strength, and the real-time current of the cable in the power grid migration is brought into the fitting curve corresponding to the magnetic field strength, thereby obtaining the correction factor corresponding to the magnetic field strength in this implementation example, and the value range is (0, 1).

[0077] In this embodiment, the above-mentioned climate impact index of the relocated power grid, the maximum noise decibel of the equipment in the relocated power grid during the relocation process, and the highest magnetic field strength of the relocated power grid during the relocation process are analyzed through nonlinear functions, which can effectively reduce the impact of extreme values ​​on the analysis results. When there are extreme values ​​or skewed distributions in the data, the nonlinear function can compress the data range to make the data closer to the normal distribution. For example, in environmental data analysis, certain extreme climate conditions may cause extremely large outliers in the original data. Through nonlinear function conversion, these outliers will be relatively "reduced", making the overall data smoother and facilitating subsequent analysis. At the same time, the complex nonlinear relationship between variables can be revealed through nonlinear functions. In the process of power grid relocation, there may be a nonlinear interdependence between the climate impact index, the maximum noise decibel of the equipment, and the highest magnetic field strength. The use of nonlinear functions for regression analysis can better fit this nonlinear relationship, thereby providing more accurate predictions and explanations.

[0078] Specifically, the specific analysis process of the power grid relocation benefit evaluation index is as follows: The performance benefit index and environmental benefit index of power grid relocation are comprehensively analyzed to obtain the power grid relocation benefit evaluation index. The specific analysis formula is:

[0079] In the formula, It is an indicator for evaluating the benefit of power grid relocation. A higher performance benefit index of power grid relocation will increase the construction difficulty and complexity of the power grid relocation process. Power equipment with poor performance is easily damaged, resulting in frequent replacement and repair of power equipment, which not only increases the maintenance cost, but also leads to unstable power supply of the power grid, affecting the reliability of power supply of the power grid. Frequent failures will also affect the safe and stable operation of the power grid relocation and increase the risk of unexpected downtime. A lower environmental benefit index of power grid relocation means that the climate environment is relatively harsh during the process of power grid relocation. The large noise and radiation generated by the power grid relocation equipment reduce the safety performance of the entire power grid relocation and easily cause serious safety accidents. At the same time, the harsh climate conditions will cause equipment damage and frequent failures, which directly affect the reliability of the power grid. Therefore, by analyzing the data of various indicators of power grid relocation benefit evaluation, problems in the power grid relocation process can be discovered and solved in a timely manner, the number of power grid relocation failures can be reduced, and the reliability, stability and efficiency of the overall power grid relocation can be improved.

[0080] is the performance benefit index of power grid relocation, is the environmental benefit index of power grid relocation, and e is a natural constant.

[0081] It is the weight factor corresponding to the power grid migration performance benefit index preset in the power grid migration database, which refers to the influence of the change of the power grid migration performance benefit index on the power grid migration benefit evaluation index. The fitting curve corresponding to the power grid migration performance benefit index can be obtained by fitting the corresponding relationship between the historical number of power equipment of the migrated power grid in the process of power grid migration and the power grid migration performance benefit index. The fitting curve corresponding to the power grid migration performance benefit index of the real-time number of power equipment of the migrated power grid in the process of power grid migration is obtained, thereby obtaining the weight factor corresponding to the power grid migration performance benefit index in this embodiment, and the value range is (0, 1). is the weight factor corresponding to the grid migration environmental benefit index preset in the grid migration database, which refers to the degree of influence of the change of the grid migration environmental benefit index on the grid migration benefit evaluation index. The fitting curve corresponding to the grid migration environmental benefit index in this embodiment can be obtained by fitting the corresponding relationship between the historical temperature and historical humidity of the grid migration and the grid migration environmental benefit index. The real-time temperature and real-time humidity of the grid migration are brought into the fitting curve corresponding to the grid migration environmental benefit index to obtain the weight factor corresponding to the grid migration environmental benefit index in this embodiment. The value range is (0, 1). In this embodiment, the sum of the weight factor corresponding to the above-mentioned preset grid migration performance benefit index and the weight factor corresponding to the preset grid migration environmental benefit index is 1, that is, + =1.

[0082] In this embodiment, the above-mentioned power grid migration performance benefit index and power grid migration environmental benefit index are analyzed through nonlinear functions, which can handle the complex data relationship between the power grid migration performance benefit index, the power grid migration environmental benefit index and the power grid migration benefit evaluation index, and more accurately reflect the real impact of the power grid migration, thereby providing more detailed analysis results.

[0083] In this embodiment, the weight factor corresponding to the above-mentioned power grid migration performance benefit index is set to 0.5, and the weight factor corresponding to the power grid migration environmental benefit index is set to 0.5. Then, the values ​​of the power grid migration benefit evaluation index are shown in Table 2: Table 2 Grid relocation benefit evaluation index table

[0084] It should be explained that by observing the numerical changes of the power grid relocation performance benefit index, the power grid relocation environmental benefit index and the power grid relocation benefit evaluation index in the above Table 2 power grid relocation benefit evaluation index table, it is found that the power grid relocation benefit evaluation index changes with the changes of the power grid relocation performance benefit index and the power grid relocation environmental benefit index. When the power grid relocation performance benefit index and the power grid relocation environmental benefit index are large, the power grid relocation benefit evaluation index / % is also larger.

[0085] Furthermore, the optimization of the benefits of power grid relocation is carried out in the following specific process: The power grid relocation benefit evaluation indicators are matched with the power grid relocation benefit optimization strategies corresponding to each power grid relocation benefit evaluation indicator interval to obtain the power grid relocation benefit optimization strategy, and finally the power grid relocation benefit is optimized through the power grid relocation benefit optimization strategy.

[0086] It should be noted that the above-mentioned power grid relocation benefit evaluation indicators are matched with the power grid relocation benefit optimization strategies corresponding to each power grid relocation benefit evaluation indicator interval. The specific matching process is as follows: In this embodiment, each power grid relocation benefit evaluation index interval is divided into the following intervals: (0, 0.8], (0.8, 1] and greater than 1, corresponding to three power grid relocation benefit optimization strategies, namely the first optimization strategy, the second optimization strategy and the third optimization strategy.

[0087] As mentioned above, the specific grid relocation benefit optimization strategies corresponding to each grid relocation benefit evaluation index interval are: when the grid relocation benefit evaluation index is in the interval of (0, 0.8], it means that the grid relocation has performed well in both performance and environmental benefits, and has achieved a high level of comprehensive benefits. The corresponding grid relocation benefit optimization strategy is the third optimization strategy. The third optimization strategy is mainly to maintain the current high standards of grid relocation and seek further innovation and improvement opportunities. When the grid relocation benefit evaluation index is in the interval of (0.8, 1], the corresponding grid relocation benefit optimization strategy is the second optimization strategy. This optimization strategy needs to target the weak points in performance benefits or environmental benefits. Key improvements should be made in various links, such as reducing noise pollution, etc. At the same time, the management of power grid relocation should be strengthened, the resource allocation of power grid relocation should be optimized, and the efficiency and quality of power grid relocation should be improved. When the power grid relocation benefit evaluation index is greater than 1, the corresponding power grid relocation benefit optimization strategy is the first optimization strategy. It is necessary to conduct a comprehensive review of the power grid relocation process, find out the root causes of the low power grid relocation benefits, and formulate solutions for key issues, such as replacing inefficient relocation power grid equipment and optimizing the power grid relocation structure. At the same time, it is necessary to strengthen the supervision of power grid relocation to ensure that various improvement measures are effectively implemented. For example, in the above Table 2 Power Grid Relocation Benefit Evaluation Index Table, when the power grid relocation performance benefit index is / % is 10, the environmental benefit index of power grid relocation When / % is 90, the power grid relocation benefit evaluation index / % is 83, and the power grid relocation benefit evaluation index is greater than 0.8, then the corresponding power grid relocation benefit optimization strategy is the second optimization strategy.

[0088] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A power grid relocation benefit evaluation system based on big data analysis, characterized in that: include: The power grid migration data preprocessing module is used to obtain the initial big data of the migrated power grid based on the power grid migration process, and perform preprocessing to obtain the performance data and environmental data of the migrated power grid; A data processing module is used to analyze the performance data and environmental data of the relocated power grid respectively to obtain the power grid relocation performance benefit index and the power grid relocation environmental benefit index; The power grid relocation benefit optimization module is used to comprehensively analyze the power grid relocation performance benefit index and the power grid relocation environmental benefit index to obtain the power grid relocation benefit evaluation index, and match it with the power grid relocation benefit optimization strategy corresponding to each power grid relocation benefit evaluation index interval, and finally optimize the power grid relocation benefit; The power grid relocation database is used to store the preset reference electric power for relocation operation, the correction factor corresponding to the preset electric power of the relocated power equipment, the preset reference temperature of the power equipment during the relocation process, the correction factor corresponding to the preset temperature of the relocated power equipment, the influence factor corresponding to the preset unit value of the total cable relocation length, the preset allowable failure rate of the power grid relocation, the correction factor corresponding to the preset power grid relocation failure rate, the weight factor corresponding to the preset performance index of the relocated power grid equipment, the weight factor corresponding to the preset climate impact index of the relocated power grid, the preset equipment noise reference decibel, the correction factor corresponding to the preset noise decibel, the preset reference magnetic field strength, the correction factor corresponding to the preset magnetic field strength, the weight factor corresponding to the preset power grid relocation performance benefit index, the weight factor corresponding to the preset power grid relocation environmental benefit index, and the power grid relocation benefit optimization strategy corresponding to each power grid relocation benefit evaluation index interval.

2. The power grid relocation benefit evaluation system based on big data analysis according to claim 1 is characterized by: The specific process of obtaining the initial big data of the relocated power grid is as follows: A power grid migration benefit subsystem is extracted from the power grid migration process, and the power grid migration benefit subsystem is used to store various data of the power grid migration process, so as to obtain initial big data of the migrated power grid through the power grid migration benefit subsystem.

3. The power grid relocation benefit evaluation system based on big data analysis according to claim 1 is characterized in that: The performance data and environmental data of the relocated power grid are obtained, and the specific analysis process is as follows: The initial big data of the relocated power grid is preprocessed, wherein the preprocessing specifically includes merging, noise removal, outlier removal, missing value filling, standardization and normalization, and finally the performance data and environmental data of the relocated power grid are obtained.

4. The power grid relocation benefit evaluation system based on big data analysis according to claim 3 is characterized by: The performance data of the relocated power grid specifically includes the total length of the relocated cables of the relocated power grid, the total number of faults during the relocation process, the total number of relocated power equipment, and the maximum operating temperature, average operating current, and average operating voltage of each relocated power equipment during the relocation process.

5. The power grid relocation benefit evaluation system based on big data analysis according to claim 1 is characterized by: The specific analysis process of analyzing the performance data of the relocated power grid is as follows: The average operating power of each relocated power equipment during the relocation process is obtained by multiplying the average operating current of each relocated power equipment during the relocation process by the average operating voltage; Comprehensively analyze the average operating power, maximum operating temperature and total number of relocated power equipment during the relocation process to obtain the performance indicators of the relocated power grid equipment; The total number of failures during the migration process is divided by the time period corresponding to the migration process to obtain the power grid migration failure rate.

6. The power grid relocation benefit evaluation system based on big data analysis according to claim 1 is characterized by: The specific analysis process of the power grid relocation performance benefit index is as follows: The total length of cables to be relocated, the failure rate of the relocated power grid, and the performance indicators of the relocated power grid equipment are comprehensively analyzed to obtain the power grid relocation performance benefit index.

7. The power grid relocation benefit evaluation system based on big data analysis according to claim 3 is characterized by: The environmental data of the relocated power grid specifically includes the average climate temperature, average climate humidity, maximum noise decibel of the equipment and the maximum magnetic field intensity during the relocation process of the relocated power grid.

8. The power grid relocation benefit evaluation system based on big data analysis according to claim 1 is characterized by: The specific analysis process of the power grid relocation environmental benefit index is as follows: The climate average temperature and climate average humidity of the relocated power grid during the relocation process are analyzed by weighted average to obtain the climate impact index of the relocated power grid; The environmental benefit index of power grid relocation is obtained by comprehensively analyzing the climate impact indicators of the relocated power grid, the maximum noise decibel of the equipment during the relocation process, and the highest magnetic field intensity of the relocated power grid during the relocation process.

9. The power grid relocation benefit evaluation system based on big data analysis according to claim 1 is characterized by: The specific analysis process of the power grid relocation benefit evaluation index is as follows: The performance benefit index and environmental benefit index of power grid relocation are comprehensively analyzed to obtain the power grid relocation benefit evaluation index. The specific analysis formula is: In the formula, It is an evaluation index of the benefits of power grid relocation. is the performance benefit index of power grid relocation, is the environmental benefit index of power grid relocation, e is a natural constant, is the weight factor corresponding to the power grid migration performance benefit index preset in the power grid migration database, It is the weight factor corresponding to the power grid relocation environmental benefit index preset in the power grid relocation database.

10. The power grid relocation benefit evaluation system based on big data analysis according to claim 1, characterized in that: The optimization of the benefits of power grid relocation is carried out as follows: The power grid relocation benefit evaluation indicators are matched with the power grid relocation benefit optimization strategies corresponding to each power grid relocation benefit evaluation indicator interval to obtain the power grid relocation benefit optimization strategy, and finally the power grid relocation benefit is optimized through the power grid relocation benefit optimization strategy.

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