Power distribution network reconstruction project progress intelligent analysis and control method

Abstract

The invention provides a power distribution network reconstruction project progress intelligent analysis and management and control method, and belongs to the technical field of project intelligent management and control, and the method comprises the steps: analyzing an available construction day number interval of a project in a typhoon high-incidence month, recognizing a centralized and dispersed distribution change day number span, and evaluating the trend of the distribution change day number span; obtaining the number of remaining construction period days of the to-be-compressed project from the project database, analyzing the overlapping condition of the number of remaining construction period days and the typhoon high-incidence month, and determining the advanced investment date of the temporary protection measures; dynamically adjusting a stage interval division period of each to-be-compressed project according to a span trend of an advanced investment date and a distribution change day number of the temporary protection measures; and performing comprehensive evaluation on the adjusted stage interval division period and the available construction day number interval, verifying whether a windproof reinforcement project can be completed before a typhoon high-incidence month, and outputting a final project progress adjustment scheme. The accuracy and the anti-risk capability of project management in the typhoon high-incidence period are remarkably improved, and the construction period stability is ensured.

Description

Technical Field

[0001] This invention relates to the field of intelligent engineering management and control technology, and in particular to a method for intelligent analysis and management of the progress of power distribution network renovation projects. Background Technology

[0002] In the field of power distribution network renovation projects, ensuring the safe operation of power facilities and timely response to natural disasters is of paramount importance. This area directly relates to the stable power supply for countless households, especially in typhoon-prone regions, where coordinating project progress with safety measures is a crucial and indispensable aspect. Currently, many methods tend to completely avoid construction during peak disaster periods. While this approach may seem to reduce safety risks, it fails to fully consider the specific needs of certain projects. For example, typhoon reinforcement projects must be completed before a disaster to provide adequate protection. This one-sided pursuit of safety may cause projects to miss the optimal protection window, thereby affecting the overall security of the power grid.

[0003] A deeper technical challenge lies in balancing the conflict between construction safety and timely protection measures. The core factor in this conflict is the dynamic clash between the peak typhoon season and the project completion deadline. Since the start and end dates of the peak typhoon season can vary annually, construction plans need to be flexibly adjusted based on specific weather conditions. However, such adjustments often disrupt the original project phase divisions and schedules. Simply extending or shortening the construction time for certain phases could lead to resource imbalances and even new safety risks. Adding to the complexity, when typhoon distribution shifts from concentrated to dispersed, the window for continuous construction shortens significantly, making the transitions between project phases extremely tight. Even a slight misstep could delay the overall progress.

[0004] Taking a specific business scenario as an example, in the renovation of a power distribution network in a coastal area, the typhoon reinforcement project needs to be completed by the end of June, before the typhoon season. However, the local typhoon season may begin as early as May, significantly reducing the effective time left for construction. If construction is scheduled before the typhoon season according to the conventional plan, there may be insufficient preparation beforehand; while if the typhoon season is deliberately avoided, the reinforcement project cannot be completed before the typhoon arrives, and the power grid facilities will be directly exposed to disaster risks. This dynamic change in the time window and the conflict between the project's protection requirements greatly increase the difficulty of progress control.

[0005] Therefore, how to rationally adjust the division of construction stages and resource allocation in the dynamic contradiction between the months with high typhoon incidence and the project completion deadline, so as to ensure both construction safety and the timeliness of protection, has become a key issue in the progress control of power distribution network renovation projects. Summary of the Invention

[0006] This invention provides a method for intelligent analysis and control of the progress of power distribution network renovation projects, including: The annual typhoon-prone months are obtained from the meteorological database, and the phased construction period days and the latest completion date of the windproof reinforcement project for each power distribution network renovation project are extracted from the engineering database to identify the available construction days range for projects in the typhoon-prone months. Analyze the range of available construction days for projects during typhoon-prone months, identify the span of days of distribution change from concentrated to dispersed, and assess the trend of the span of distribution change. When the range of days for distribution changes shows an expanding trend, the initial range of available construction days is reduced to obtain a reduced range of construction days. The reduced range of construction days is then matched with the latest completion date to adjust the range of available construction days. Extract the time interval between cross-stage work processes of each power distribution network renovation project, compare the time interval with the adjusted range of available construction days, and mark projects whose time interval exceeds the available construction days as projects to be compressed. Obtain the remaining construction period days of the projects to be compressed from the engineering database, analyze the overlap between the remaining construction period days and the months with high typhoon incidence, and determine the advance implementation date of temporary protective measures; Based on the trend of the advance implementation date and the number of days of distribution of temporary protective measures, the phase interval division cycle of each project to be compressed will be dynamically adjusted. A comprehensive evaluation was conducted on the adjusted phase interval division period and available construction days range to verify that the windproof reinforcement project was completed before the arrival of the typhoon-prone months, and the final project schedule adjustment plan was output.

[0007] Preferably, the step of extracting the inter-stage work connection time of each power distribution network renovation project, comparing the connection time with the adjusted range of available construction days, and marking projects whose connection time exceeds the available construction days as projects to be compressed includes: Extract the end time of the basic construction phase and the start time of the equipment installation phase of each project from the power distribution network renovation project database, calculate the number of working days between the two time points after deducting statutory holidays and weekends, and obtain the time interval between cross-phase work processes. Compare the duration of the inter-stage process connection interval with the total number of days in the corresponding project's adjusted available construction days range; When the duration of the inter-stage process connection interval is greater than the total number of days in the adjusted available construction days interval, the corresponding project will be marked as a project to be compressed and added to the project to be compressed set. Obtain the completion date of the basic construction phase and the start date of the equipment installation phase from each power distribution network renovation project. Extract the waiting days for material transportation to the site and the preparation days for construction personnel to move to the site from the project database. Calculate the proportion of material waiting days to the connection gap time and the proportion of personnel preparation days to the connection gap time, respectively. Based on the ratio of the sum of material waiting days and personnel preparation days to the total duration of the connection gap, determine the compressible redundancy days and the minimum preparation days that must be retained within the connection gap.

[0008] Preferably, the step of obtaining the remaining construction period days of the project to be compressed from the engineering database, analyzing the overlap between the remaining construction period days and the months with high typhoon incidence, and determining the advance implementation date of temporary protective measures includes: Retrieve the current construction progress percentage and planned total duration days of the project to be compressed from the engineering database, and calculate the remaining duration days. The end date of the remaining construction period is determined by adding the remaining number of days to the current date; Compare the period from the current date to the end date of the remaining construction period with the months with the highest typhoon incidence, and count the historical number of typhoon landfalls in each month during the period from the current date to the end date of the remaining construction period; When the number of historical typhoons making landfall in a certain month exceeds the historical average threshold, calculate the number of overlapping days between that month and the remaining construction period. Based on the number of overlapping days, the start date of the typhoon-prone month, the installation period of temporary protective facilities, and the procurement period of protective materials, the start date of the typhoon-prone month is calculated by subtracting the sum of the installation period and the procurement period, thus obtaining the advance date for the implementation of temporary protective measures.

[0009] Preferably, the step of obtaining the months with the highest annual typhoon incidence from the meteorological database, extracting the phased construction period days for each power distribution network renovation project and the latest completion date for typhoon-resistant reinforcement projects from the engineering database, and identifying the available construction day range for projects in the months with the highest typhoon incidence includes: The number of typhoon landfalls and the number of days typhoons lasted for each month in the preset time period of previous years were obtained from the meteorological database. Extract the basic construction days, equipment installation days, and commissioning and acceptance days of the power distribution network renovation project from the engineering database, and calculate the construction start date by working backward from the latest completion date of the windproof reinforcement project. By counting the number of days affected by typhoons in each month between the start date of construction and the latest completion date, and summing up the number of days available for construction in each month, we can obtain the range of available construction days for the power distribution network renovation project during months with high typhoon incidence.

[0010] Preferably, the analysis of the available construction days range for projects during typhoon-prone months, identifying the span of days of distribution change from concentrated to dispersed, and assessing the trend of the span of distribution change includes: Extract the sequence of workable dates for each month from the range of available construction days, and calculate the number of days between adjacent workable dates; The number of discontinuous construction periods within each month is counted based on the number of days between construction periods, and the dispersion of construction periods is calculated. For the dispersion of the construction period, calculate the difference in dispersion between two adjacent months to determine the point of change in distribution pattern; The trend of the span of the distribution change days is assessed based on the change in the total number of days available for construction before and after the change in the distribution pattern, as well as the incremental change in the span over consecutive months.

[0011] Preferably, the method further includes: obtaining the landfall dates and durations of typhoons in the same period over the past several years from a typhoon historical database, calculating the number of days between two adjacent typhoons making landfall in the same month of each year, and obtaining the coefficient of variation of the number of days between the landfall dates; The annual growth rate of the coefficient of variation is statistically analyzed, and the distribution of the number of days between each month of the year is predicted using a time series forecasting algorithm to obtain an index of the fragmentation degree of the construction window period. Based on the monthly change sequence of the fragmentation index, the time points at which the construction days interval evolve from a continuously available state to a multi-segmented intermittent state are determined.

[0012] Preferably, when the range of days for distribution variation shows an expanding trend, the initial available construction days interval is reduced to obtain a reduced construction days interval. The reduced construction days interval is then matched with the latest completion date to adjust the available construction days interval, including: Calculate the reduction factor for the preliminary available construction days range based on the growth rate of the trend of the distribution change in the number of days. Multiply the initial number of available construction days by the reduction factor to obtain the reduced range of construction days. The end date of the reduced construction days interval is compared with the latest completion date of the windproof reinforcement project, and the reduced construction days interval is shifted and adjusted according to the difference in days. The final adjusted range of available construction days is obtained by subtracting the predicted typhoon impact days from the adjusted range of construction days.

[0013] Preferably, the step of dynamically adjusting the phase interval division period for each project to be compressed based on the trend of the advance deployment date and the number of days of distribution of temporary protective measures includes: The preparation time window for protection is obtained by calculating the number of days between the date when temporary protective measures are implemented in advance and the current construction date. Extract the monthly span growth rate from the trend of the number of days of distribution change; The compression ratio coefficient is determined based on the monthly span growth rate. Multiply the original interval days of each item to be compressed by the coefficient adjusted by the compression ratio factor to obtain the new interval days after compression. Adjust the start and end times of each construction phase according to the new compressed interval days.

[0014] Preferably, the step of comprehensively evaluating the adjusted stage interval division period and the available construction days range to verify that the windproof reinforcement project is completed before the arrival of the typhoon-prone months includes: Obtain the cumulative number of construction days for windproof reinforcement projects within the adjusted phase interval division period; Compare the cumulative number of construction days with the total number of available construction days within the available construction days range; Based on the comparison results, determine whether the planned completion date of the windproof reinforcement project is earlier than the start date of the month with the highest typhoon incidence. Based on the judgment results, the start and end dates of construction, the stage division nodes, the number of days to be compressed, and the time for the implementation of protective measures for each project are summarized to form a project schedule adjustment plan.

[0015] Preferably, the compressible redundancy days are the remaining days after deducting the material waiting days and personnel preparation days from the connection gap time, and the minimum preparation days that must be retained are the sum of the material transportation baseline cycle and the personnel allocation baseline cycle.

[0016] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses an intelligent analysis and control method for the progress of power distribution network renovation projects. Addressing the business scenario of fragmented construction windows and project delays caused by typhoon-prone months, it integrates meteorological data analysis, historical typhoon pattern prediction, and project progress optimization. By analyzing the available construction days range during typhoon-prone months and combining historical typhoon landfall intervals with time series prediction algorithms, this invention deduces the degree of fragmentation of the construction window and the cumulative number of days of project delay. Simultaneously, it dynamically reduces the construction interval based on the trend of the distribution of days, adjusting the schedule to match the latest completion date. For projects requiring compression, this invention assesses the redundancy days between phase transitions, determines the advance implementation date of temporary protective measures, optimizes the phase interval division cycle, and finally verifies the feasibility of completing the typhoon reinforcement project, outputting a schedule adjustment plan. This invention significantly improves the accuracy and risk resistance of project management during typhoon-prone periods, ensuring project schedule stability. Attached Figure Description

[0017] Figure 1 This is a flowchart of a method for intelligent analysis and control of the progress of a power distribution network renovation project according to the present invention.

[0018] Figure 2 This is a schematic diagram of an intelligent analysis and control method for the progress of power distribution network renovation projects according to the present invention.

[0019] Figure 3 This is another schematic diagram of the intelligent analysis and control method for the progress of power distribution network renovation projects according to the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0021] like Figures 1-3 This embodiment of a method for intelligent analysis and control of the progress of a power distribution network renovation project may specifically include: S101. Obtain the months with the highest typhoon incidence in the year from the meteorological database, extract the phased construction period days for each power distribution network renovation project and the latest completion date of the windproof reinforcement project from the engineering database, and identify the available construction days range for projects in the months with the highest typhoon incidence.

[0022] The number of typhoon landfalls and the number of days typhoons have lasted from May to October each year were obtained from a meteorological database. The number of days for basic construction, equipment installation, and commissioning / acceptance of power distribution network upgrade projects were extracted from an engineering database. The construction start date was calculated by working backwards from the latest completion date of the typhoon-resistant reinforcement project. For the period between the construction start date and the latest completion date, the number of days affected by typhoons in each month was statistically analyzed. Months with more dispersed construction days were identified, and the number of construction days for each month was summarized to obtain the range of available construction days for power distribution network upgrade projects during typhoon-prone months.

[0023] In one implementation, when obtaining typhoon data from a meteorological database for May to October of each year, it is necessary to extract the landfall time, wind force level, and radius of influence for each typhoon, and determine the duration of its impact on construction operations based on the wind force level. For example, the impact duration of a typhoon of level 12 or above is usually 3 days, while the impact duration of a weaker typhoon may be 1 to 2 days.

[0024] Specifically, the construction days for a power distribution network renovation project include multiple stages such as foundation excavation, pole and tower erection, and conductor stringing. Foundation construction typically accounts for 30% of the total construction period, equipment installation accounts for 40%, and commissioning and acceptance accounts for 30%. Based on the latest completion date of June 30 for the windproof reinforcement project, if the total construction period is 100 days, construction needs to be started back to March 22.

[0025] Preferably, when calculating the percentage of days affected by typhoons, the cumulative impact method is used to count the actual number of days that cannot be worked on each month. This is calculated by multiplying the number of typhoon landfalls by the average number of days of continuous impact. When this cumulative value exceeds 12 days in a month, i.e., the percentage exceeds 0.4, the remaining usable days in that month will be fragmented. Although these scattered construction periods may have a considerable total number of days, the short intervals make it difficult to schedule continuous operations. Therefore, when summarizing the range of usable construction days, the minimum continuous construction days requirement needs to be considered.

[0026] S102. Analyze the range of available construction days for projects during months with high typhoon incidence, identify the range of days for distribution changes from concentrated to dispersed, and assess the trend of the range of days for distribution changes.

[0027] Extract the sequence of workable dates for each month from the available construction days range, calculate the number of days between adjacent workable dates, and determine the continuity of the construction period based on whether the number of days exceeds a preset continuous construction threshold. This continuous construction threshold is determined according to the technical requirements of the construction process. Count the number of discontinuous construction periods within each month and divide it by the total number of days in that month to obtain the construction period dispersion. For the construction period dispersion, calculate the difference in dispersion between two adjacent months. If the difference exceeds a preset dispersion change threshold, mark this point as a distribution pattern transition point. Calculate the change in the total number of workable days within three months before and after the transition point to determine the span of the distribution change from concentrated to dispersed. Based on the increment of the distribution change span in consecutive months, calculate the monthly growth rate of the span. If the monthly growth rate is positive for three consecutive months and exceeds a preset growth rate threshold, it is determined that the distribution change span is expanding, generating a span trend assessment result that includes the trend direction and rate of change.

[0028] In one implementation, the dispersion of construction periods reflects the degree to which typhoons disrupt construction continuity. When extracting the sequence of workable dates for each month from the available construction days interval, the typhoon impact status needs to be marked daily, forming a binary sequence where 1 indicates work is possible and 0 indicates work is impossible due to typhoon impact. By traversing this sequence, consecutive segments of 1 values ​​are identified as independent construction periods.

[0029] Specifically, calculating the number of days between adjacent workable dates involves statistically analyzing the difference between the end date of each work period and the start date of the next work period. When the number of days exceeds a preset continuous construction threshold, it indicates that the two periods cannot be combined into a continuous construction period. This threshold is usually set as the larger of the material curing cycle and the equipment commissioning cycle, typically 5 to 7 days in power distribution network renovation projects. If this interval is exceeded, construction preparation work needs to be restarted.

[0030] It should be noted that the dispersion of construction periods is obtained by counting the number of discontinuous construction periods within a month and dividing by the total number of days in that month, reflecting the degree of fragmentation of construction time.

[0031] For example, if a month has 30 days and there are 5 independent construction periods, the dispersion is 0.167. The higher the dispersion value, the more fragmented the construction periods are, and the higher the difficulty of project management.

[0032] In one embodiment, the implementation process of the construction period distribution change identification algorithm is as follows: The algorithm input includes the sequence of workable dates for each month, a continuous construction threshold, a dispersion change threshold, and a growth rate threshold. The algorithm first analyzes the sequence of workable dates for each month, calculates the number of days between adjacent workable dates, and counts the number of times the interval exceeds the continuous construction threshold, dividing this number by the total number of days in the month to obtain the construction period dispersion. Then, it calculates the difference in dispersion between adjacent months. If the difference exceeds the dispersion change threshold, it is marked as a distribution pattern transition point. The algorithm further calculates the change in the total number of workable days for the three months before and after the transition point, obtaining the distribution change day span. Finally, it calculates the monthly growth rate of the span. If the growth rate is positive for three consecutive months and exceeds the growth rate threshold, it outputs an evaluation result indicating that the span is expanding.

[0033] Preferably, the identification of distribution pattern transition points adopts the dispersion difference judgment method between adjacent months. When the dispersion of a certain month is 0.1, and the dispersion of the following month suddenly increases to 0.4, with the difference reaching 0.3 and exceeding the preset dispersion change threshold, this time point is marked as the transition point. Within three months before and after the transition point, the total number of days available for construction is counted. The first three months have 85 days, and the latter three months have 52 days, with a change range of 33 days. This is the span of days for the distribution change from concentrated to dispersed.

[0034] In one embodiment, the monthly growth rate of the span is obtained by calculating the incremental change in the number of days between adjacent months. If the span in May is 20 days, in June it is 28 days, and in July it is 37 days, then the growth rate in June is 0.4, and the growth rate in July is 0.32. When the growth rates for three consecutive months are all positive and exceed a preset threshold of 0.2, it is determined that the span is expanding.

[0035] For example, the span trend assessment results include two dimensions: trend direction and rate of change. The trend direction is divided into three categories: expansion, stability, and contraction. The rate of change quantifies the average monthly change in the span, providing a quantitative basis for adjusting the project schedule.

[0036] By obtaining the landfall dates and durations of typhoons from the historical typhoon database for the same period in the past few years, and analyzing the degree of change in the number of days between landfalls of historical typhoons from a regular distribution to a random distribution within a month, time series prediction algorithms are used to extrapolate the degree of fragmentation of the construction window period in the current year and the extent of the expansion of the number of days between construction windows. The time points at which the construction day intervals evolve from a continuous available state to a multi-segmented intermittent state are predicted, and the cumulative number of days of construction period extension caused by the segmentation of the construction window period for each project is assessed.

[0037] The typhoon landfall dates and durations for each month of the same period over the past five years are obtained from a historical typhoon database. The interval between two consecutive typhoon landfalls within the same month each year is calculated. The standard deviation of this interval is divided by the mean to obtain the coefficient of variation. If the coefficient of variation increases from a low value in the initial year to exceed a preset randomness threshold in the fifth year, it is determined that the typhoon landfall distribution has shifted from a regular distribution to a random distribution. The annual growth rate of the coefficient of variation is recorded. Based on the annual growth rate and the typhoon interval sequence for each month of each year, a construction window prediction model is constructed using the ARIMA time series prediction algorithm. The time series of typhoon intervals for each month of the past five years and the corresponding coefficient of variation sequence are input, and the distribution of predicted intervals for each month of the current year is output. The percentage of times the predicted interval is less than the shortest duration of the basic work procedures for power distribution network renovation is calculated to obtain an index of the fragmentation degree of the construction window. For the monthly change sequence of the fragmentation index, the months in which the index value jumps from below the continuous construction threshold to above the intermittent construction threshold are identified. These months are determined as the time nodes when the construction days interval evolves from a continuously available state to a multi-segmented intermittent state. The number of segments into which the construction window is divided in each month after these time nodes is counted. Based on the number of segments into which the construction window is divided and the number of days between each segment, the downtime waiting loss is calculated by multiplying the number of days in each interval by the average daily labor cost. This loss is then added to the equipment debugging and material preparation days required for each restart of construction. The additional days generated by all intervals are accumulated to assess the cumulative number of days of extended construction period caused by window segmentation for each power distribution network renovation project.

[0038] In one implementation, the coefficient of variation (CV) serves as a key indicator of the dispersion in the number of days between typhoon landfalls. It is calculated by dividing the standard deviation of the interval by the average value. When the CV is close to 0, it indicates a strong periodicity in typhoon landfalls, allowing construction companies to rationally plan their work based on historical patterns. However, when the CV increases year by year and exceeds a preset randomness threshold, it signifies a significant increase in the randomness of typhoon landfall timing. Traditional empirical prediction methods become ineffective, necessitating the use of more precise prediction algorithms to address this uncertainty.

[0039] Specifically, when extracting data from historical typhoon databases, it is necessary to pay attention to the specific landfall time, wind circle radius, and movement speed of each typhoon. Taking a coastal area as an example, in May 2019, there were three typhoons that made landfall on May 8th, May 18th, and May 28th, with intervals of 10 days and a coefficient of variation of 0. In contrast, in the same period of 2023, the three typhoons made landfall on May 3rd, May 11th, and May 29th, with intervals of 8 days and 18 days, and a coefficient of variation of 0.41. This shift from a regular distribution to a random distribution directly affects the planning of construction windows for power distribution network renovation projects.

[0040] It should be noted that the time series forecasting algorithm constructs a predictive model by analyzing the historical patterns of typhoon interval days. The algorithm takes into account the typhoon interval day sequence from the past few years and the corresponding monthly coefficients of variation. Through model parameter training, it outputs the predicted interval day distribution for the next few months and its confidence interval. Based on the predicted interval day distribution, the degree of fragmentation of the construction window and the extent of the increase in the interval days can be assessed.

[0041] Preferably, the fragmentation index is calculated based on a comparison between the predicted interval in days and the shortest duration of basic procedures for power distribution network upgrades. Basic procedures for power distribution network upgrades include pit excavation, foundation pouring, and tower erection. A curing period of at least 7 days is required after foundation pouring before the next procedure can proceed. When the predicted typhoon interval is less than this shortest duration, it means that a complete basic procedure cannot be completed within that period, and construction will be forced to stop. The fragmentation index for that month is obtained by statistically analyzing the proportion of such short intervals occurring within a month to the total number of intervals.

[0042] In one possible implementation, identifying the time points when the construction days transition from a continuous, available state to a multi-segmented, intermittent state is crucial. When the fragmentation index suddenly increases from 0.2 in April to 0.65 in May, it indicates that May was a critical turning point. After this point, the period that could have been a continuous 20-day construction period was divided into 3 to 4 fragmented periods of 5 to 7 days each, separated by typhoon impact periods.

[0043] For example, assessing the cumulative number of days of project delays requires considering multiple factors. Losses due to downtime are calculated based on the actual number of days in each interval, including wages for construction workers waiting for work, rental fees for idle machinery and equipment, and maintenance costs for temporary facilities. A power distribution network renovation project experienced eight downtimes during the typhoon season, totaling 45 days. Each restart required two days for equipment debugging and calibration, and three days for material preparation and quality inspection, adding an extra 40 days of preparation time.

[0044] Understandably, the equipment commissioning days include safety inspections of the lifting equipment, parameter calibration of the tension machine, and accuracy verification of measuring instruments. Material preparation days involve the re-procurement of easily deteriorated materials such as cement, rust removal from steel, and insulation performance testing of insulators. While these preparations may seem tedious, they are crucial for ensuring project quality and construction safety.

[0045] For example, based on the aforementioned predictive model, suppose a 110kV distribution network renovation project was originally planned for a 120-day construction period. After being divided into several phases during the typhoon season, the actual construction period was extended to 205 days. This included 45 days of direct work stoppage and waiting, 16 days of equipment readjustment, and 24 days of material preparation, resulting in a cumulative extension of 85 days. Through the established predictive model and evaluation methods, project management departments can anticipate the extent of the extension in advance, allocate resources rationally, and avoid economic losses caused by delays. Furthermore, when the evaluation results show that the cumulative extension days exceed 50% of the original planned construction period, it is necessary to consider adjusting the construction plan, adopting prefabricated construction and modular installation methods to shorten on-site work time, or adjusting some procedures to be carried out intensively after the typhoon season, thereby reducing the impact of typhoons on the project progress.

[0046] S103. When the range of days for distribution changes shows an expanding trend, the initial range of available construction days is reduced to obtain a reduced range of construction days. The reduced range of construction days is then matched with the latest completion date to adjust the range of available construction days.

[0047] Based on the trend growth rate when the span of days in the distribution changes shows an expanding trend, a reduction coefficient is calculated for the initial available construction days interval. If the trend growth rate exceeds a preset growth rate threshold, the reduction coefficient is obtained by dividing the growth rate threshold by the trend growth rate. The initial available construction days are then multiplied by the reduction coefficient to obtain the reduced construction days interval. The end date is extracted from the reduced construction days interval, and the difference in days between this end date and the latest completion date of the typhoon reinforcement project is calculated. A positive difference indicates surplus time, while a negative difference indicates overdue work. The absolute value of the negative difference determines the number of days that need to be adjusted forward, and the start and end dates of the reduced construction days interval are simultaneously shifted forward by the corresponding number of days. Based on the shifted construction days interval, the overlapping portion with typhoon-prone months is identified. The predicted typhoon impact days in the overlapping months are obtained from the typhoon database. The predicted typhoon impact days are deducted from the shifted construction days interval, the net available construction days are recalculated, and the adjusted available construction days interval is output.

[0048] In one implementation, there is a non-linear relationship between the trend growth rate and the reduction factor. When the trend growth rate of the span of days of distribution change reaches 0.3, it indicates that the randomness of typhoon distribution is rapidly increasing, and a conservative estimate of the initial available construction days is required. The reduction factor is calculated by dividing the growth rate by a preset threshold. If the growth rate is 0.3 and the threshold is 0.2, the ratio is 1.5, and the reduction factor is its reciprocal, 0.67, meaning that the actual available construction days are only 67% of the initial estimate.

[0049] Specifically, a power distribution network renovation project initially estimated 90 days of available construction days from May to July. After adjustment with a reduction factor of 0.67, the actual number of available construction days decreased to 60 days. This reduction reflects the increased construction risks brought about by the uncertainty of typhoons and avoids the inability to complete key processes due to overly optimistic schedules.

[0050] It should be noted that the calculation of the difference in days involves rigid constraints on the project schedule. The latest completion date for typhoon reinforcement projects is usually set 15 days before the arrival of typhoon season to allow time for equipment inspection and emergency drills. If the reduced construction day interval ends on July 15, while the latest completion date is June 30, the difference in days is -15 days, indicating that the project will be delayed by 15 days according to the current schedule.

[0051] Preferably, the forward shift operation needs to consider the availability of construction resources. Shifting the entire construction period forward by 15 days means that the project originally scheduled to start on May 1st needs to start on April 16th. This requires the construction unit to complete preliminary preparations such as personnel recruitment, material procurement, and equipment debugging in advance, while also coordinating resource allocation with other ongoing projects.

[0052] In one possible implementation, the prediction of the number of days affected by typhoons uses a combination of historical averages and weather forecast corrections. The number of days affected by typhoons in the same month over the past five years is extracted from a typhoon database, and an average is calculated as a baseline. This average is then corrected based on the sea surface temperature anomaly index for the current year. If the historical average number of days affected by typhoons in May is 8 days, and the sea surface temperature anomaly index indicates a potential 20% increase in typhoon activity, then the predicted number of days affected is adjusted to 10 days.

[0053] For example, after a complete adjustment, the original 90-day construction period of a project was reduced to 60 days. After shifting it forward by 15 days, the time window became April 16 to June 14. After deducting the predicted 18 days of typhoon impact, the final net number of days available for construction was 42 days, which was only 47% of the original plan.

[0054] S104. Extract the time interval between cross-stage work processes of each power distribution network renovation project, compare the time interval with the adjusted range of available construction days, and mark projects whose time interval exceeds the available construction days as projects to be compressed.

[0055] The end time of the basic construction phase and the start time of the equipment installation phase of each project are extracted from the power distribution network renovation project database. The number of working days between these two time points, excluding statutory holidays and weekends, is calculated as the inter-phase work transition interval (unit: working days). The interval intervals of all projects are compiled into an interval interval list. Each interval interval in the interval interval list is compared with the adjusted available construction days range for the corresponding project. If the interval interval of a project exceeds the total number of days in its available construction days range, the project is marked as a project to be compressed and added to the set of projects to be compressed.

[0056] In one implementation, the duration of the inter-stage process transition interval reflects the necessary transition time between different construction stages in a power distribution network renovation project. After the foundation construction stage is completed, the concrete foundation needs a curing period, equipment needs to be transported from the warehouse to the site, and the construction team needs personnel adjustments and technical briefings. These activities constitute the main content of the transition interval.

[0057] Specifically, the calculation of working days needs to exclude statutory holidays and weekends, as these periods are usually unsuitable for normal construction work. For example, the foundation construction of a certain project ended on May 20th, and equipment installation began on June 3rd, including two weekends totaling four days. The actual working day gap was 10 days.

[0058] It should be noted that when the duration of the transition period exceeds the total number of days in the available construction period, it means that the time used for phase transition alone has exhausted all available construction time, and actual construction work cannot be carried out.

[0059] For example, if a project has only 15 days of available construction time, but the transition period requires 18 days, the project must either shorten the transition time or adjust the construction plan.

[0060] Preferably, the establishment of the set of projects to be compressed provides a clear scope for subsequent schedule optimization, avoids indiscriminate adjustments to all projects, and improves the targeting of resource allocation.

[0061] Obtain the completion date of the basic construction phase and the start date of the equipment installation phase from each power distribution network renovation project. Extract the waiting days for material transportation to the site and the required days for construction personnel to prepare for site relocation from the project database. Analyze the composition of the idle days between the completion of basic construction and the start of equipment installation. Assess the proportion of material waiting days and personnel preparation days in the idle days. Determine the compressible redundant days and the minimum preparation days that must be retained in the gaps between each stage.

[0062] The completion dates of the basic construction phase and the start dates of the equipment installation phase are obtained from each power distribution network renovation project. The transition period between these two dates is calculated. The waiting days for materials to be transported from the supplier's warehouse to the construction site and the preparation days for construction personnel to transfer from the previous site to the current site are extracted from the project database and summarized into a detailed table of transition period occupancy. Based on the detailed table, the proportions of material waiting days to transition period and personnel preparation days to transition period are calculated. If the sum of these two proportions is less than a preset necessary proportion threshold, the difference between the transition period and the material waiting days and personnel preparation days is calculated to obtain the compressible redundancy days. For the material waiting days and personnel preparation days, the additional waiting time caused by improper supply chain coordination and the additional preparation time caused by unreasonable scheduling are identified. The compressible redundancy days are deducted from the total idle days, retaining the basic material transportation cycle and the basic personnel allocation cycle, to determine the minimum preparation days that must be retained in the transition period of each stage.

[0063] In one implementation, the construction of a detailed schedule of idle time needs to comprehensively consider multiple time dimensions of the power distribution network renovation project. The completion date of the foundation construction phase is usually marked by the end of the concrete curing period, while the start date of the equipment installation phase is marked by the arrival of the first batch of equipment. The total number of idle days between these two points in time includes the time spent on various necessary and unnecessary activities.

[0064] Specifically, material waiting days cover the entire cycle from supplier delivery, logistics transportation, on-site acceptance, quality testing, and warehousing. In a certain 110kV distribution network renovation project, it takes 3 days to transport insulators from the production base to the construction site, 2 days to transport steel, while easily deteriorated materials such as cement need to be purchased locally, with transportation taking only 1 day. These differences in transportation time for different materials lead to the complexity of waiting times.

[0065] It should be noted that the necessary percentage threshold is set based on historical project experience data. Statistical analysis revealed that when the combined percentage of time spent waiting for materials and preparing personnel is less than 0.7, it means that more than 30% of the downtime is wasted. This time is neither used for material preparation nor for personnel allocation, and is purely a redundancy caused by management inefficiency.

[0066] Preferably, the additional waiting time caused by poor supply chain coordination is mainly reflected in two aspects: batch mismatch and inventory turnover imbalance.

[0067] For example, the conductors have been on site for 15 days, but the matching hardware has not yet arrived due to order delays. The conductors are stuck in the warehouse, wasting time that could have been used for other processes. Inappropriate scheduling manifests as construction teams arriving early but being unable to start work, or equipment being in place but operators not yet on duty.

[0068] In one possible implementation, the basic material transportation cycle refers to the shortest necessary time from order placement to material arrival at the site under normal logistical conditions. This cycle excludes delays caused by factors such as weather, traffic control, and holidays, representing the ideal transportation time. The basic personnel deployment cycle is the shortest time for a construction team to transfer to the new project after completing the previous project, undergoing necessary rest and technical training.

[0069] For example, by identifying and compressing redundant time, a project reduced its original 28-day idle period to 18 days, including a basic material transportation cycle of 7 days, a basic personnel allocation cycle of 5 days, and necessary equipment debugging and safety inspections of 6 days, thus effectively shortening the project duration.

[0070] S105. Obtain the remaining construction period days of the project to be compressed from the engineering database, analyze the overlap between the remaining construction period days and the months with high typhoon incidence, and determine the advance implementation date of temporary protective measures.

[0071] Retrieve the current construction progress percentage and planned total construction period days of the project to be compressed from the engineering database, and calculate the remaining construction period days. The calculation formula is R=T×(1-P), where R is the remaining construction period days (unit: days), T is the planned total construction period days (unit: days), and P is the decimal form of the current construction progress percentage (dimensionless). Determine the end date of the remaining construction period by adding the remaining construction period days to the current date. Compare the period from the current date to the end date of the remaining construction period with the typhoon-prone months recorded in the typhoon database, and count the historical typhoon landfall counts for each month within this period. If the number of typhoon landfalls in a certain month exceeds the historical average of more than 3 times per month, calculate the number of overlapping days between that month and the remaining construction period. Based on the overlapping days and the start date of the typhoon-prone month, obtain the installation cycle of temporary protective facilities and the procurement cycle of protective materials. Subtract the sum of the installation cycle and procurement cycle from the start date of the typhoon-prone month to obtain the advance deployment date of the temporary protective measures.

[0072] In one implementation, accurate calculation of the remaining project duration is crucial for arranging subsequent protective measures. The current percentage of progress is derived by dividing the completed work by the planned total work, reflecting the project's actual completion status. For example, a 110kV distribution network renovation project has a planned total duration of 150 days, and the current progress is 40%, resulting in 90 remaining days. By adding the remaining days to the current date, the project's completion date can be accurately predicted, providing a time reference for deploying protective measures.

[0073] Specifically, the identification of peak typhoon months is based on statistical patterns in historical meteorological data. The typhoon database records information such as the number of typhoon landfalls, wind speed, and affected area for each month over the past 10 years. A month is considered a peak typhoon month when the historical average number of typhoon landfalls exceeds two. This method, based on historical data, reflects regional typhoon activity patterns.

[0074] It should be noted that the calculation of overlapping days involves the intersection of time intervals. If the remaining construction period lasts from April 15th to July 15th, and the peak typhoon months are June and July, then the entire 30 days of June and the first 15 days of July constitute the overlapping period, totaling 45 overlapping days. This number of overlapping days directly affects the urgency and scale of protective measures.

[0075] Preferably, the installation cycle of temporary protective facilities includes multiple stages. Assembling the protective brackets takes 3 days, erecting the windproof guy wires takes 2 days, and installing temporary shelters takes 2 days, for a total installation cycle of 7 days. The procurement cycle for protective materials depends on their availability; standard protective materials take 5 days to procure, while special-specification materials may take more than 10 days.

[0076] In one possible implementation, the advance deployment date is determined using a backward calculation method. Starting from the beginning of the typhoon-prone month, subtract 7 days from the installation period and then 5 days from the procurement period; the resulting date is the advance deployment date for temporary protective measures. This arrangement ensures that all protective facilities are installed and have undergone necessary inspections before the typhoon arrives.

[0077] For example, if the peak typhoon season starts from June 1, temporary protective measures should be implemented before May 20. This allows sufficient preparation time for the entire protective work and avoids inadequate protection due to time constraints.

[0078] S106. Based on the trend of the advance implementation date and the number of days of distribution of temporary protective measures, dynamically adjust the phase interval division cycle of each project to be compressed.

[0079] The preparation time window for protection is obtained by calculating the difference in days between the advance implementation date of temporary protective measures and the current construction date. The distribution variation in the number of days span refers to the monthly variation sequence of the number of days span based on historical construction data, from which the monthly span growth rate is extracted. The calculation formula is G=(C 当月 -C 上月 ) / C 上月 Where G is the monthly span growth rate, and C 当月 C represents the month's span (unit: days). 上月The monthly span is in days. If the monthly span growth rate exceeds a preset growth rate threshold of 0.1, the compression ratio coefficient is obtained by dividing the monthly span growth rate by the growth rate threshold. For the compression ratio coefficient, the original interval in days between the completion of basic construction and the start of equipment installation for each project to be compressed is obtained. The original interval in days is multiplied by (1 - compression ratio coefficient) to calculate the new interval in days after compression. Based on the new interval in days after compression, the start and end times of each construction stage are reset. The compressed days are obtained by subtracting the new interval in days from the original interval in days. The construction stages of each project to be compressed are then moved forward according to the compressed days, and the dynamically adjusted stage interval division cycle is output.

[0080] In one implementation, determining the protective preparation time window requires comprehensive consideration of multiple time factors. The advance implementation date for temporary protective measures is typically set 12 to 15 days before the typhoon's arrival, while the current construction date reflects the actual progress of the project. The difference in days between these two dates constitutes a time buffer that can be used to adjust the construction schedule. The larger this buffer, the greater the flexibility of project adjustments, but it also means increased protective costs.

[0081] Specifically, the monthly span growth rate reflects the speed at which typhoon distribution evolves from concentrated to dispersed. When the fragmentation of the construction window in a given month increases by 30% compared to the previous month, the monthly span growth rate is 0.3. This growth rate directly affects the need to compress construction phase intervals. A higher growth rate indicates a more dispersed typhoon distribution and a shorter available continuous construction period, thus requiring a greater reduction in phase intervals.

[0082] It should be noted that the compression ratio is calculated using a relative value method. When the monthly span growth rate is 0.3, and the preset growth rate threshold is 0.2, the ratio is 1.5, meaning the actual growth exceeds expectations by 50%. In this case, the compression ratio is set to 0.5, indicating that the original interval days need to be reduced by half. For example, the original 20-day interval between foundation construction and equipment installation in a certain project was shortened to 10 days after compression.

[0083] Preferably, the new interval days after compression must meet minimum technical requirements. Foundation concrete curing requires at least 7 days, and equipment transportation preparation requires at least 3 days; therefore, the interval after compression cannot be less than 10 days. If the calculated new interval days are less than this minimum, other measures need to be taken, such as stockpiling materials in advance or increasing the construction team.

[0084] In one possible implementation, the construction phase is moved forward by adjusting the start dates of each phase. The equipment installation phase, originally scheduled to begin on June 1st, needs to be moved forward to May 22nd due to a 10-day reduction in time. This forward movement not only affects individual phases but also creates a chain reaction, requiring subsequent commissioning and acceptance phases to be moved forward accordingly.

[0085] For example, by dynamically adjusting the phase interval division cycle, a power distribution network renovation project successfully compressed the original 120-day construction period to 95 days, completing all key processes before the typhoon season and achieving a balance between project progress and protection requirements.

[0086] S107. Conduct a comprehensive evaluation of the adjusted stage interval division period and available construction days range to verify whether the windproof reinforcement project can be completed before the peak typhoon months, and output the final project schedule adjustment plan.

[0087] The cumulative construction days for the windproof reinforcement project within the adjusted phase interval division period are obtained. The total number of available construction days is extracted from the available construction days interval, and the proportion of the cumulative construction days to the total available construction days is calculated. If this proportion exceeds a preset availability threshold, the windproof reinforcement project is deemed to meet the conditions for timely completion. Based on the conditions for timely completion, the planned completion date of the windproof reinforcement project and the start date of the typhoon-prone month are obtained. The number of days the planned completion date is earlier than the start date of the typhoon-prone month is calculated. If the number of days earlier is greater than a preset safety day threshold, the completion of the windproof reinforcement project before the arrival of the typhoon-prone month is verified. Based on the completion verification results, the adjusted start and end dates, phase division nodes, compressed days, and protective measure deployment time of each power distribution network renovation project are summarized and integrated to form a project schedule adjustment plan that includes the construction time arrangement, phase connection method, and protective implementation plan of each project.

[0088] In one implementation, the total number of construction days needs to be calculated considering the actual work content of each construction stage. The windbreak reinforcement project includes several sub-items such as foundation reinforcement, guy wire installation, and windbreak support erection, each with its own required construction time. Foundation reinforcement requires 15 days, including excavation of the existing foundation, reinforcement densification, and concrete pouring; guy wire installation requires 10 days, involving anchor drilling, guy wire tensioning, and anti-corrosion treatment; windbreak support erection requires 8 days, including support assembly, fixing, and debugging. These times are accumulated to form the total number of construction days for the windbreak reinforcement project.

[0089] In one embodiment, the comprehensive evaluation algorithm verifies the feasibility of the project schedule through a multi-dimensional indicator system. The algorithm inputs include: the adjusted phase interval division period, the available construction days range, the cumulative construction days for the typhoon reinforcement project, the start date of the typhoon-prone month, the availability threshold, and the safety days threshold. The algorithm first calculates the ratio of the cumulative construction days to the total available construction days to determine if it exceeds the availability threshold. Then, it calculates the difference in days between the planned completion date and the start date of the typhoon-prone month to determine if it is greater than the safety days threshold. If both conditions are met, the algorithm outputs a verification result, indicating that the typhoon reinforcement project can be completed before the arrival of the typhoon-prone month. Finally, the algorithm summarizes the construction schedule, phase connection methods, and protection implementation plans for each project, outputting a complete project schedule adjustment plan.

[0090] Specifically, the availability threshold is set based on empirical data from project management. When the ratio of cumulative construction days to total available construction days is higher than 0.8, it means that the utilization rate exceeds 80%. This high efficiency can cope with unforeseen factors during construction, such as material supply delays and sudden weather changes. For example, a project had a cumulative construction period of 37 days and a total available construction period of 45 days, a ratio of 0.82, which is higher than the 0.8 threshold, indicating that the project has good conditions for on-time completion.

[0091] It should be noted that the calculation of the lead time involves risk buffering considerations. The planned completion date is usually set 20 days before typhoon season, and the start date of the peak typhoon month is determined based on historical meteorological data. If the planned completion date is June 10th, and the peak typhoon season begins on July 1st, the lead time is 21 days. The safety days threshold is generally set at 15 days, which is sufficient time to complete project acceptance, equipment commissioning, and emergency drills.

[0092] Preferably, the integration of project schedule adjustment plans requires balancing multiple factors. The construction schedule clearly defines the start and end dates and key milestones for each stage; the stage transition method specifies the transition arrangements between different procedures, including details such as material handover, personnel allocation, and equipment relocation; and the protection implementation plan details the installation time, protection level, and removal timing of temporary protective facilities.

[0093] In one possible implementation, the final project schedule adjustment plan is presented in the form of a Gantt chart, with the horizontal axis representing the time axis and the vertical axis representing each construction project. Different colors are used to indicate the normal construction period, the compressed construction period, and the typhoon impact period, which intuitively presents the construction arrangements of the entire power distribution network renovation project before and after the typhoon season, providing a clear execution basis for project management.

[0094] If the technical solution of this application involves personal information, the product using this solution has clearly informed the user of the personal information processing rules and obtained the user's voluntary consent before processing the personal information. If sensitive personal information is involved, the user's separate consent has been obtained before processing, and the "express consent" requirement is met. For example, a clear sign is placed at the collection device such as a camera to inform the user that they have entered the collection area, and the user's voluntary entry is considered as consent; or the processing device clearly indicates the processing rules and obtains authorization through pop-up windows or by asking the user to upload information themselves. The personal information processing rules include the processor, the purpose of processing, the processing method, and the types of personal information.

[0095] It should be noted that the above examples are merely some specific embodiments of the present invention. Obviously, the present invention is not limited to the above embodiments and many variations are possible. All variations that can be directly derived or conceived by those skilled in the art from the content disclosed in this invention should be considered within the scope of protection of this invention.

Claims

1. A method for intelligent analysis and control of the progress of power distribution network renovation projects, characterized in that, include: The annual typhoon-prone months are obtained from the meteorological database, and the phased construction period days and the latest completion date of the windproof reinforcement project for each power distribution network renovation project are extracted from the engineering database to identify the available construction days range for projects in the typhoon-prone months. Analyze the range of available construction days for projects during typhoon-prone months, identify the span of days of distribution change from concentrated to dispersed, and assess the trend of the span of distribution change. When the range of days for distribution changes shows an expanding trend, the initial range of available construction days is reduced to obtain a reduced range of construction days. The reduced range of construction days is then matched with the latest completion date to adjust the range of available construction days. Extract the time interval between cross-stage work processes of each power distribution network renovation project, compare the time interval with the adjusted range of available construction days, and mark projects whose time interval exceeds the available construction days as projects to be compressed. Obtain the remaining construction period days of the projects to be compressed from the engineering database, analyze the overlap between the remaining construction period days and the months with high typhoon incidence, and determine the advance implementation date of temporary protective measures; Based on the trend of the advance implementation date and the number of days of distribution of temporary protective measures, the phase interval division cycle of each project to be compressed will be dynamically adjusted. A comprehensive evaluation was conducted on the adjusted phase interval division period and available construction days range to verify that the windproof reinforcement project was completed before the arrival of the typhoon-prone months, and the final project schedule adjustment plan was output.

2. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 1, characterized in that, The process involves extracting the inter-stage work transition time for each power distribution network renovation project, comparing this transition time with the adjusted available construction days range, and marking projects with transition time exceeding the available construction days as projects to be compressed. These include: Extract the end time of the basic construction phase and the start time of the equipment installation phase of each project from the power distribution network renovation project database, calculate the number of working days between the two time points after deducting statutory holidays and weekends, and obtain the time interval between cross-phase work processes. Compare the duration of the inter-stage process connection interval with the total number of days in the corresponding project's adjusted available construction days range; When the duration of the inter-stage process connection interval is greater than the total number of days in the adjusted available construction days interval, the corresponding project will be marked as a project to be compressed and added to the project to be compressed set. Obtain the completion date of the basic construction phase and the start date of the equipment installation phase from each power distribution network renovation project. Extract the waiting days for material transportation to the site and the preparation days for construction personnel to move to the site from the project database. Calculate the proportion of material waiting days to the connection gap time and the proportion of personnel preparation days to the connection gap time, respectively. Based on the ratio of the sum of material waiting days and personnel preparation days to the total duration of the connection gap, determine the compressible redundancy days and the minimum preparation days that must be retained within the connection gap.

3. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 1, characterized in that, The process of retrieving the remaining construction period days of the project to be compressed from the engineering database, analyzing the overlap between the remaining construction period days and typhoon-prone months, and determining the advance implementation date of temporary protective measures includes: Retrieve the current construction progress percentage and planned total duration days of the project to be compressed from the engineering database, and calculate the remaining duration days. The end date of the remaining construction period is determined by adding the remaining number of days to the current date; Compare the period from the current date to the end date of the remaining construction period with the months with the highest typhoon incidence, and count the historical number of typhoon landfalls in each month during the period from the current date to the end date of the remaining construction period; When the number of historical typhoons making landfall in a certain month exceeds the historical average threshold, calculate the number of overlapping days between that month and the remaining construction period. Based on the number of overlapping days, the start date of the typhoon-prone month, the installation period of temporary protective facilities, and the procurement period of protective materials, the start date of the typhoon-prone month is calculated by subtracting the sum of the installation period and the procurement period, thus obtaining the advance date for the implementation of temporary protective measures.

4. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 1, characterized in that, The process involves obtaining the peak typhoon months from the meteorological database, extracting the phased construction period days for each power distribution network renovation project and the latest completion date for typhoon-resistant reinforcement projects from the engineering database, and identifying the available construction day range for projects during peak typhoon months, including: The number of typhoon landfalls and the number of days typhoons lasted for each month in the preset time period of previous years were obtained from the meteorological database. Extract the basic construction days, equipment installation days, and commissioning and acceptance days of the power distribution network renovation project from the engineering database, and calculate the construction start date by working backward from the latest completion date of the windproof reinforcement project. By counting the number of days affected by typhoons in each month between the start date of construction and the latest completion date, and summing up the number of days available for construction in each month, we can obtain the range of available construction days for the power distribution network renovation project during months with high typhoon incidence.

5. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 1, characterized in that, The analysis examines the available construction days for projects during typhoon-prone months, identifies the range of days for distribution changes from concentrated to dispersed, and assesses the trend of this distribution change, including: Extract the sequence of workable dates for each month from the range of available construction days, and calculate the number of days between adjacent workable dates; The number of discontinuous construction periods within each month is counted based on the number of days between construction periods, and the dispersion of construction periods is calculated. For the dispersion of the construction period, calculate the difference in dispersion between two adjacent months to determine the point of change in distribution pattern; The trend of the span of the distribution change days is assessed based on the change in the total number of days available for construction before and after the change in the distribution pattern, as well as the incremental change in the span over consecutive months.

6. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 5, characterized in that, Also includes: The landfall dates and durations of typhoons in the same period over the past few years were obtained from the historical typhoon database. The number of days between two consecutive landfalls of typhoons in the same month of each year was calculated, and the coefficient of variation of the interval was obtained. The annual growth rate of the coefficient of variation is statistically analyzed, and the distribution of the number of days between each month of the year is predicted using a time series forecasting algorithm to obtain an index of the fragmentation degree of the construction window period. Based on the monthly change sequence of the fragmentation index, the time points at which the construction days interval evolve from a continuously available state to a multi-segmented intermittent state are determined.

7. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 1, characterized in that, When the range of days for distribution variation shows an expanding trend, the initial available construction days interval is reduced to obtain a reduced construction days interval. This reduced interval is then matched with the latest completion date to adjust the available construction days interval, including: Calculate the reduction factor for the preliminary available construction days range based on the growth rate of the trend of the distribution change in the number of days. Multiply the initial number of available construction days by the reduction factor to obtain the reduced range of construction days. The end date of the reduced construction days interval is compared with the latest completion date of the windproof reinforcement project, and the reduced construction days interval is shifted and adjusted according to the difference in days. The final adjusted range of available construction days is obtained by subtracting the predicted typhoon impact days from the adjusted range of construction days.

8. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 1, characterized in that, The dynamic adjustment of the phase interval division period for each project to be compressed, based on the trend of the advance implementation date and the number of days of distribution of temporary protective measures, includes: The preparation time window for protection is obtained by calculating the number of days between the date when temporary protective measures are implemented in advance and the current construction date. Extract the monthly span growth rate from the trend of the number of days of distribution change; The compression ratio coefficient is determined based on the monthly span growth rate. Multiply the original interval days of each item to be compressed by the coefficient adjusted by the compression ratio factor to obtain the new interval days after compression. Adjust the start and end times of each construction phase according to the new compressed interval days.

9. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 1, characterized in that, The comprehensive evaluation of the adjusted stage interval division period and available construction days range verifies that the windproof reinforcement project is completed before the arrival of the typhoon-prone months, including: Obtain the cumulative number of construction days for windproof reinforcement projects within the adjusted phase interval division period; Compare the cumulative number of construction days with the total number of available construction days within the available construction days range; Based on the comparison results, determine whether the planned completion date of the windproof reinforcement project is earlier than the start date of the month with the highest typhoon incidence. Based on the judgment results, the start and end dates of construction, the stage division nodes, the number of days to be compressed, and the time for the implementation of protective measures for each project are summarized to form a project schedule adjustment plan.

10. The intelligent analysis and control method for the progress of power distribution network renovation projects according to claim 2, characterized in that, The compressible redundancy days are the remaining days after deducting material waiting days and personnel preparation days from the connection gap time. The minimum preparation days that must be retained are the sum of the material transportation baseline cycle and the personnel allocation baseline cycle.

Images