Electric power engineering project progress prediction method, system and device and storage medium

Abstract

The invention provides an electric power engineering project progress prediction method, system and device and a storage medium, and relates to the technical field of electric power engineering, and the method comprises the steps: dividing an electric power engineering project into a plurality of engineering sub-projects, and obtaining the construction data of a construction team corresponding to each engineering sub-project, and the associated data between the engineering sub-projects; calculating the first construction efficiency of each construction team according to the construction data; determining a first influence index according to the associated data, and adjusting the first construction efficiency and the second construction efficiency according to the first influence index; obtaining a construction environment of each project sub-project, and determining a second influence index according to the construction environment; and adjusting the second construction efficiency according to the second influence index, generating the target construction efficiency of each construction team, and determining the completion time of the electric power engineering project according to the target construction efficiency. The technical effect of the invention is that the deviation between the prediction result of the project completion time and the actual situation is reduced.

Description

Technical Field

[0001] The present application relates to the field of electric power engineering technology, and in particular to a method, system, device and storage medium for predicting the progress of an electric power engineering project. Background Art

[0002] As the scale and complexity of power engineering projects continue to expand, how to accurately predict the progress of projects has become a key issue in project management. In construction management, if the project completion time cannot be predicted in a timely and accurate manner, it may lead to problems such as waste of resources, increased costs and project delays, which will seriously affect the overall benefits of power engineering projects.

[0003] In the prior art, the above problems are usually solved by empirical data analysis or simple prediction methods based on historical construction efficiency. These methods can make preliminary predictions on project progress to a certain extent, but due to the lack of systematic analysis and reasonable adjustment of factors affecting construction efficiency, the predicted results of project completion time deviate greatly from the actual situation. Summary of the invention

[0004] The present application provides a method, system, device and storage medium for predicting the progress of an electric power engineering project, which are used to reduce the deviation between the predicted result of the project completion time and the actual situation.

[0005] In a first aspect, the present application provides a method for predicting the progress of a power engineering project, the method comprising: splitting the power engineering project into multiple engineering sub-projects, obtaining the construction data of the construction team corresponding to each of the engineering sub-projects, and the correlation data between the engineering sub-projects; calculating the first construction efficiency of each of the construction teams based on the construction data; determining a first influence index of the first construction efficiency based on the correlation data, and adjusting the first construction efficiency based on the first influence index to generate a second construction efficiency for each of the construction teams; obtaining the construction environment of each of the engineering sub-projects, and determining a second influence index of the second construction efficiency based on the construction environment; adjusting the second construction efficiency based on the second influence index to generate a target construction efficiency for each of the construction teams, and determining the completion time of the power engineering project based on the target construction efficiency.

[0006] By adopting the above technical solution, by splitting the power engineering project into multiple engineering sub-projects and obtaining construction data and related data, the actual construction capacity of each construction team can be accurately evaluated from the basic level. The first construction efficiency is adjusted by the first influence index, which fully considers the impact of the correlation between engineering sub-projects on construction efficiency and avoids the efficiency prediction deviation caused by process interference. At the same time, the construction environment factors are introduced and the second influence index is used for secondary adjustment to achieve dynamic optimization of construction efficiency, so that the calculation of target construction efficiency is more in line with the actual situation. This multi-level efficiency adjustment mechanism significantly improves the accuracy of project completion time prediction and reduces the deviation between the predicted results of project completion time and the actual situation.

[0007] Optionally, the associated data includes process connection relationships and process constraint times, and determining a first impact index of the first construction efficiency based on the associated data includes: determining a combination of engineering sub-projects that influence each other based on the process connection relationships; calculating the constraint impact relationship of the first constructed engineering sub-projects on the later constructed engineering sub-projects in each of the engineering sub-project combinations based on the process constraint times; and determining a first impact index of a construction team corresponding to each engineering sub-project in each of the engineering sub-project combinations based on the constraint impact relationship, wherein when the progress of the first constructed engineering sub-project is delayed, the value of the first impact index is less than 1, and the value of the first impact index is inversely proportional to the degree of delay in the construction progress.

[0008] By adopting the above technical solution, by introducing the process connection relationship and process constraint time as related data, the mutual influence between engineering sub-projects can be accurately identified. In particular, by calculating the constraint influence relationship and quantifying it as the first influence index, accurate adjustment of construction efficiency is achieved. When the progress of the engineering sub-project to be constructed first is delayed, by setting the first influence index less than 1 and making it inversely proportional to the degree of delay, it effectively reflects the actual degree of influence of process delays on subsequent construction efficiency, so that the prediction results of construction efficiency are more in line with the chain reaction law in engineering practice.

[0009] Optionally, the first construction efficiency is adjusted according to the first influence index to generate the second construction efficiency of each construction team, including: judging whether there is a progress delay in the engineering sub-project constructed first in each engineering sub-project combination; when there is a progress delay in the engineering sub-project constructed first, multiplying the first construction efficiency of the construction team corresponding to the engineering sub-project constructed later by the corresponding first influence index to obtain the second construction efficiency; when there is no progress delay in the engineering sub-project constructed first, taking the first construction efficiency of the construction team corresponding to the engineering sub-project constructed later as the second construction efficiency; taking the first construction efficiency of the construction team corresponding to the engineering sub-projects that do not affect each other as the second construction efficiency.

[0010] By adopting the above technical solution, the progress delay of the engineering sub-project is judged, and a differentiated construction efficiency adjustment strategy is adopted to accurately reflect the changes in construction efficiency under different circumstances. When there is a progress delay, the first construction efficiency is multiplied by the first influence index to obtain the second construction efficiency, which reflects the efficiency loss caused by the delay; when there is no progress delay or there is no mutual influence between the engineering sub-projects, the first construction efficiency is directly used as the second construction efficiency to avoid unnecessary efficiency adjustments. This differentiated processing mechanism based on actual conditions makes the adjustment of construction efficiency more flexible and reasonable, and improves the pertinence and accuracy of construction efficiency prediction.

[0011] Optionally, the construction environment includes weather information and construction site conditions, and determining the second impact index of the second construction efficiency based on the construction environment includes: predicting the number of days with bad weather at the construction site of each of the engineering sub-projects within a preset time period based on the weather information, and determining the weather impact coefficient of each of the engineering sub-projects based on the number of days with bad weather, wherein the weather impact coefficient takes a value less than 1, and the value of the weather impact coefficient is inversely proportional to the number of days with bad weather; determining the site impact coefficient of each of the engineering sub-projects based on the construction site conditions, wherein the site impact coefficient takes a value less than 1, and the value of the site impact coefficient is inversely proportional to the degree of complexity of the construction site; and using the weather impact coefficient and the site impact coefficient as the second impact index.

[0012] By adopting the above technical solution, a comprehensive environmental impact assessment mechanism is formed by predicting the number of bad weather days within a preset time and quantifying it as a weather impact coefficient, while considering the construction site conditions and setting the site impact coefficient. Both of these impact coefficients are less than 1 and are inversely proportional to the number of bad weather days and the degree of site mixing, respectively, accurately reflecting the weakening effect of environmental factors on construction efficiency. The weather impact coefficient and the site impact coefficient are combined as the second impact index to achieve a quantitative expression of the multi-dimensional impact of the construction environment, making the prediction of construction efficiency closer to the actual construction conditions.

[0013] Optionally, adjusting the second construction efficiency according to the second impact index to generate the target construction efficiency of each construction team includes: arithmetically multiplying the weather impact coefficient, the site impact coefficient and the second construction efficiency to generate the target construction efficiency of each construction team.

[0014] By adopting the above technical solution, the weather influence coefficient, the site influence coefficient and the second construction efficiency are arithmetically multiplied to achieve comprehensive adjustment of the construction efficiency. This arithmetic multiplication processing method enables the weakening effect of each influencing factor on the construction efficiency to play an independent role simultaneously, thereby obtaining the target construction efficiency that fully considers the influence of weather conditions and site conditions, and making the final construction efficiency prediction result more in line with the complex influence of the actual construction environment.

[0015] Optionally, after determining the completion time of the power engineering project based on the target construction efficiency, the method further includes: obtaining the actual construction progress of each of the engineering sub-projects; comparing the actual construction progress of each of the engineering sub-projects with the engineering progress plan to obtain a progress deviation; when the progress deviation is greater than a preset threshold, re-obtaining the construction environment, and re-determining the second impact index based on the updated construction environment; regenerating the target construction efficiency of each construction team based on the updated second impact index, and updating the engineering progress plan.

[0016] By adopting the above technical solution, the actual construction progress of the engineering sub-projects is obtained in real time and dynamically compared with the engineering progress plan, and a feedback correction mechanism for construction efficiency prediction is established. When the progress deviation exceeds the preset threshold, the system will automatically re-evaluate the construction environment, update the second impact index, and adjust the target construction efficiency and engineering progress plan accordingly. This dynamic adjustment mechanism based on the actual progress deviation enables the prediction of construction efficiency to adapt to changes in the construction environment in a timely manner, ensuring the continued accuracy and practicality of the engineering progress plan.

[0017] Optionally, the method further includes: acquiring historical construction data of each of the construction teams; establishing a construction efficiency prediction model based on the historical construction data; and dynamically adjusting the construction efficiency of each of the construction teams using the construction efficiency prediction model.

[0018] By adopting the above technical solution, by collecting and analyzing the historical construction data of each construction team, and establishing a construction efficiency prediction model, an intelligent prediction of construction efficiency is achieved. The model can self-learn and optimize based on historical data, so as to dynamically adjust the construction efficiency of the construction team, so that the efficiency prediction is supported by historical data and can adapt to the efficiency changes during the construction process, further improving the scientificity and accuracy of the construction efficiency prediction.

[0019] In a second aspect, the present application provides a system for predicting the progress of a power engineering project, the system comprising: an acquisition module, a calculation module, a generation module, a first determination module and a second determination module; wherein the acquisition module is used to split the power engineering project into multiple engineering sub-projects, obtain the construction data of the construction team corresponding to each of the engineering sub-projects, and the correlation data between the engineering sub-projects; the calculation module is used to calculate the first construction efficiency of each of the construction teams based on the construction data; the generation module is used to determine a first influence index of the first construction efficiency based on the correlation data, and adjust the first construction efficiency based on the first influence index to generate a second construction efficiency for each of the construction teams; the first determination module is used to obtain the construction environment of each of the engineering sub-projects, and determine the second influence index of the second construction efficiency based on the construction environment; the second determination module is used to adjust the second construction efficiency based on the second influence index, generate a target construction efficiency for each of the construction teams, and determine the completion time of the power engineering project based on the target construction efficiency.

[0020] In a third aspect, the present application provides an electronic device that adopts the following technical solution: it includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes a computer program such as any of the above-mentioned methods for predicting the progress of power engineering projects.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded by a processor and execute any of the above-mentioned power engineering project schedule prediction methods.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: By splitting the power engineering project into multiple engineering sub-projects and obtaining construction data and related data, the actual construction capacity of each construction team can be accurately evaluated from a basic level. The first construction efficiency is adjusted by the first impact index, which fully considers the impact of the correlation between engineering sub-projects on construction efficiency and avoids the efficiency prediction deviation caused by process interference. At the same time, the construction environment factors are introduced and the second impact index is used for secondary adjustment to achieve dynamic optimization of construction efficiency, so that the calculation of target construction efficiency is more in line with the actual situation. This multi-level efficiency adjustment mechanism significantly improves the accuracy of project completion time prediction and reduces the deviation between the predicted results of project completion time and the actual situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1It is a flow chart of a method for predicting the progress of a power engineering project provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a power engineering project progress prediction system provided by an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0024] Description of reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0026] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a concrete way.

[0027] Figure 1 Schematic diagram of a method for predicting the progress of a power engineering project provided by an embodiment of the present application. Figure 1 As shown, the method includes S101-S105: S101, splitting the power engineering project into multiple engineering sub-projects, obtaining the construction data of the construction team corresponding to each engineering sub-project, and the correlation data between the engineering sub-projects.

[0028] In the embodiment, a 220kV substation project is used as an example for explanation. Since the power engineering project is large in scale and complex in construction content, in order to facilitate construction management and progress control, the entire project needs to be divided into several relatively independent but interrelated engineering sub-projects.

[0029] Specifically, the substation project is divided into five engineering sub-projects, including civil construction, equipment foundation construction, equipment installation, secondary installation, and cable laying. The construction data includes the construction records of each construction team in similar projects, including the average completion time per unit workload, staffing, mechanical equipment configuration, and other information. For example, in past projects, the average time for a civil construction team to complete 1,000 cubic meters of earth excavation was 5 days, with 2 excavators, 1 loader, and 20 construction personnel.

[0030] Related data refers to the construction sequence dependency and time constraint requirements between each engineering sub-project. For example, the equipment foundation construction can only start after the civil construction is completed, and there is a process connection relationship between the two; the equipment installation needs to be carried out 28 days after the equipment foundation construction is completed (the concrete reaches the design strength), which is a manifestation of the process constraint time. By sorting out the related data of each engineering sub-project, a complete construction network diagram can be established to clarify the logical relationship between each process.

[0031] S102, calculating the first construction efficiency of each construction team according to the construction data.

[0032] After obtaining the construction data, it is necessary to quantify the basic construction capacity of each construction team, that is, to calculate the first construction efficiency. The first construction efficiency refers to the time required for the construction team to complete a unit of work under ideal construction conditions, without considering the impact of process association and environmental factors. This indicator reflects the essential construction capacity of the construction team.

[0033] Taking the civil construction team in the substation project as an example, according to its construction data, in the three similar projects recently completed by this construction team, the time to complete 1,000 cubic meters of earth excavation was 4.8 days, 5.2 days and 5.0 days respectively. At the same time, the recorded construction conditions were basically the same, all of which were ideal conditions with good weather and unobstructed sites. By taking the arithmetic average of these historical data, it is found that the average time for this construction team to complete 1,000 cubic meters of earth excavation is 5.0 days, and the first construction efficiency of its earth excavation work can be determined to be 200 cubic meters / day. For the equipment foundation construction team, by analyzing its historical construction data, it can be calculated that the average time to complete a main transformer foundation under a standard work shift is 15 days, thus determining its first construction efficiency to be 0.067 foundations / day.

[0034] Similarly, it can be calculated that the first construction efficiency of the equipment installation team when installing the main transformer is 0.125 units / day (on average, one main transformer is installed every 8 days), the first construction efficiency of the secondary installation team when completing the control room equipment installation is 40 square meters / day, and the first construction efficiency of the cable laying team is 200 meters / day. These first construction efficiencies are benchmark values ​​obtained under ideal conditions, considering only the construction team's own capabilities.

[0035] The purpose of calculating the first construction efficiency is to establish a benchmark value to provide a reference for the subsequent consideration of various influencing factors. The accuracy of this benchmark value directly affects the accuracy of the final progress forecast. Therefore, representative historical data should be selected during the calculation, and some abnormal data that is obviously affected by external factors should be excluded.

[0036] S103: determining a first impact index of the first construction efficiency according to the associated data, and adjusting the first construction efficiency according to the first impact index to generate a second construction efficiency for each construction team.

[0037] In the actual construction process, since there is a construction sequence dependency relationship between engineering sub-projects, the progress delay of the previous project will directly affect the construction efficiency of the subsequent project. Therefore, it is necessary to adjust the first construction efficiency according to the correlation between the processes.

[0038] Taking the substation project as an example, by analyzing the associated data, it can be determined that there is a combination of engineering sub-projects that affect each other: civil construction and equipment foundation construction affect each other, equipment foundation construction and equipment installation affect each other, equipment installation and secondary installation affect each other, and secondary installation and cable laying affect each other. Taking the relationship between equipment foundation construction and equipment installation as an example, according to the time constraints of the process, the main transformer foundation needs to reach the design strength (usually requires a 28-day maintenance period) before the equipment can be installed. If the equipment foundation construction is delayed, the equipment installation construction team will be unable to carry out work as planned, thereby affecting its construction efficiency.

[0039] In the specific calculation, it is assumed that the equipment foundation construction is delayed by 5 days, and the originally planned 28-day maintenance period becomes 33 days, with a delay ratio of 17.9%. According to the impact relationship model established based on empirical data, when the delay ratio of the previous project is in the range of 15%-20%, the first impact index of the subsequent construction team is 0.85. This means that the actual construction efficiency of the equipment installation construction team will be reduced to 85% of the original efficiency. Therefore, the second construction efficiency of the equipment installation construction team = the first construction efficiency (0.125 units / day) × the first impact index (0.85) = 0.106 units / day.

[0040] Similarly, if the secondary installation project is affected by the delay in equipment installation, its construction efficiency will also be reduced accordingly. Assuming that the delay in equipment installation causes the secondary installation to be delayed by 3 days, the delay ratio is 10%, and the corresponding first impact index is 0.9, then the second construction efficiency of the secondary installation construction team = 40 square meters / day × 0.9 = 36 square meters / day.

[0041] For engineering sub-projects that do not affect each other, such as civil construction and cable laying, which have no direct process dependency, the first construction efficiency remains unchanged and is directly used as the second construction efficiency. For example, the earthwork excavation efficiency of the civil construction team remains at 200 cubic meters per day.

[0042] In this embodiment, the first impact index refers to a coefficient that quantifies the degree of influence of process delay on subsequent construction efficiency, and its value range is between 0 and 1, and is inversely proportional to the degree of delay in construction progress. The process constraint time refers to the minimum time interval that must be met between adjacent processes, such as the concrete curing period, waterproof layer curing time and other mandatory waiting times. The delay ratio is calculated as: (actual process interval time - planned process interval time) / planned process interval time × 100%.

[0043] Based on the above embodiment, as an optional implementation, in S103, the associated data includes the process connection relationship and the process constraint time, and determining the first impact index of the first construction efficiency according to the associated data specifically includes S31-S33: S31, based on the process connection relationship, determine the combination of engineering sub-projects that have mutual impact.

[0044] During the construction of substation projects, there are complex dependencies between project subprojects. It is necessary to determine the first impact index through systematic analysis of process connection relationships and process constraint time, so as to more accurately evaluate the project progress.

[0045] First, by analyzing the process connection relationship in the engineering network diagram, it is possible to identify the combination of engineering sub-projects that affect each other. In the substation project, civil construction and equipment foundation construction form the first combination, equipment foundation construction and equipment installation form the second combination, equipment installation and secondary installation form the third combination, and secondary installation and cable laying form the fourth combination. The process connection relationship refers to the construction sequence dependency between different engineering sub-projects. For example, equipment foundation construction must start only after the civil engineering project reaches a certain progress.

[0046] S32, calculating the constraint influence relationship of the first construction sub-project on the later construction sub-project in each combination of engineering sub-projects according to the process constraint time.

[0047] Secondly, analyze the process constraint time in each combination. Taking the combination of equipment foundation construction and equipment installation as an example, the process constraint time includes a 28-day concrete curing period, which means that the main transformer foundation must wait for 28 days after pouring to reach the design strength before equipment installation can be carried out. The process constraint time refers to the mandatory waiting time that must be followed to ensure the quality of the project. By comparing the actual process interval time with the planned process interval time, the constraint impact relationship can be calculated. For example, if the equipment foundation construction is delayed by 5 days, resulting in the actual process interval time increasing to 33 days, the delay ratio is (33-28) / 28×100%=17.9%. The constraint impact relationship is used to quantify the degree of influence of process delays on subsequent construction.

[0048] S33, according to the constraint influence relationship, determine the first influence index of the construction team corresponding to each engineering sub-project in each engineering sub-project combination, wherein when the progress of the engineering sub-project to be constructed first is delayed, the value of the first influence index is less than 1, and the value of the first influence index is inversely proportional to the degree of delay in the construction progress.

[0049] Finally, the first impact index is determined based on the constraint impact relationship. The corresponding relationship between the delay ratio and the first impact index is established: when the delay ratio is between 0-5%, the first impact index is 0.95; when the delay ratio is between 5%-10%, the first impact index is 0.9; when the delay ratio is between 10%-15%, the first impact index is 0.88; when the delay ratio is between 15%-20%, the first impact index is 0.85. For example, the first impact index corresponding to the 17.9% delay ratio caused by the delay in the equipment foundation construction is 0.85, which means that the actual construction efficiency of the equipment installation construction team will be reduced to 85% of the original efficiency. The first impact index is inversely proportional to the delay ratio, reflecting the objective law that the increase in the degree of delay will lead to a decrease in subsequent construction efficiency.

[0050] Based on the above embodiment, as an optional implementation mode, in S103, adjusting the first construction efficiency according to the first impact index to generate the second construction efficiency of each construction team specifically includes S301-S304: S301, determining whether there is any progress delay in the project sub-projects to be constructed first in each project sub-project combination.

[0051] S302, when there is a progress delay in the engineering sub-project that is constructed first, multiply the first construction efficiency of the construction team corresponding to the engineering sub-project that is constructed later by the corresponding first impact index to obtain a second construction efficiency.

[0052] S303, when there is no progress delay in the engineering sub-project to be constructed first, the first construction efficiency of the construction team corresponding to the engineering sub-project to be constructed later is used as the second construction efficiency.

[0053] S304, taking the first construction efficiency of the construction team corresponding to the engineering sub-projects that do not affect each other as the second construction efficiency.

[0054] Specifically, during the construction of the substation project, in order to accurately reflect the impact of process delays on construction efficiency, it is necessary to adjust the first construction efficiency according to the first impact index, so as to obtain a second construction efficiency that is more in line with the actual situation.

[0055] Taking the substation project as an example, we first need to determine whether there is a progress delay in the project sub-projects that are constructed first in each project sub-project combination. By comparing the actual completed project volume with the planned completed project volume, it is found that on the 30th day of civil construction, the actual completed project volume was 5,400 cubic meters, which is 600 cubic meters less than the planned completed project volume of 6,000 cubic meters, indicating a progress delay. Progress delay refers to the situation where the actual construction progress lags behind the planned progress, which can be quantified by the difference in the completed project volume.

[0056] When it is found that there is a progress delay in civil construction, it is necessary to adjust the construction efficiency of the equipment foundation construction team affected by it. The first construction efficiency of the equipment foundation construction team is 0.075 foundations / day, and the corresponding first impact index is 0.9 (determined according to the 7% delay ratio). The second construction efficiency is 0.067 foundations / day multiplied by the two. This adjustment reflects the actual impact of process delays on subsequent construction efficiency.

[0057] In contrast, in the combination of equipment installation and secondary installation, the equipment installation progress met the planned requirements and there was no delay. In this case, the first construction efficiency of the secondary installation construction team of 36 square meters / day can be directly used as its second construction efficiency without adjustment. This shows that when the previous process is carried out as planned, the construction efficiency of the subsequent process will not be negatively affected.

[0058] For independent processes in substation projects, such as fire protection system installation, since its construction is not affected by other processes, its first construction efficiency of 5 square meters / day can be directly used as the second construction efficiency. An independent process refers to a process that has no direct dependency on other processes during the construction process.

[0059] S104, obtaining the construction environment of each engineering sub-project, and determining a second impact index of the second construction efficiency according to the construction environment.

[0060] In the actual construction process, in addition to the impact of process association, construction environment factors will also significantly affect the construction efficiency. The construction environment mainly includes weather information and construction site conditions. Changes in these factors will directly affect the development of construction operations, so it is necessary to further adjust the second construction efficiency through the second impact index.

[0061] Taking the substation project as an example, the weather forecast data provided by the meteorological department is used to predict the weather conditions in the next three months. The forecast shows that there will be 15 days of rain during the civil construction phase (planned construction period of 90 days), including 5 days of heavy rain. These bad weather conditions will prevent the normal development of civil construction. According to historical experience data, when the proportion of bad weather days to the total construction period is 16.7% (15 / 90), the corresponding weather impact coefficient should be 0.8. At the same time, the civil construction site is close to the operating substation, the construction site is limited, the material stacking is inconvenient, and the movement of construction machinery is restricted. The site impact coefficient determined under this site condition is 0.9.

[0062] For the equipment foundation construction, there will be 10 days of rain during the forecast period (planned construction period of 60 days), accounting for 16.7%, and the weather impact coefficient is determined to be 0.8. Since the equipment foundation construction area overlaps with the civil construction area, there are many materials and mechanical equipment on site, and the construction site is relatively mixed, the site impact coefficient is determined to be 0.85.

[0063] The equipment installation project (planned construction period of 30 days) is expected to encounter 5 days of strong winds, accounting for 16.7%. Considering the safety requirements of high-altitude operations, the weather impact coefficient is determined to be 0.75. The equipment installation area is relatively independent and the site is relatively unobstructed, so the site impact coefficient is determined to be 0.95.

[0064] The secondary installation project (planned construction period of 45 days) is mainly carried out indoors and is less affected by the weather. It is expected that 3 days will be affected by external weather, accounting for 6.7%, and the weather impact coefficient is determined to be 0.95. Due to the construction in the control building at the same time as other construction teams, the space is limited, and the site impact coefficient is determined to be 0.85.

[0065] The cable laying project (planned construction period of 30 days) is expected to have 6 days of rainfall, accounting for 20%, and the weather impact coefficient is determined to be 0.75. Part of the cable trench overlaps with other construction areas, and the construction site is relatively crowded, so the site impact coefficient is determined to be 0.8.

[0066] In this embodiment, weather information includes meteorological conditions such as rainfall, strong winds, and extreme temperatures that may affect construction. Construction site conditions refer to the spatial layout, material stacking, and mechanical equipment placement of the construction site. Severe weather days refer to the cumulative number of days in which weather conditions prevent construction from proceeding normally. The weather impact coefficient refers to the degree of influence of weather factors on construction efficiency, and its value range is between 0-1, and is inversely proportional to the proportion of severe weather days. The site impact coefficient refers to the degree of influence of site conditions on construction efficiency, and its value range is between 0-1, and is inversely proportional to the degree of clutter in the site.

[0067] Based on the above embodiment, as an optional implementation, in S104, the construction environment includes weather information and construction site conditions, and determining the second impact index of the second construction efficiency according to the construction environment specifically includes S41-S43: S41, based on weather information, predict the number of days with bad weather at the construction site of each engineering sub-project within a preset time period, and determine the weather impact coefficient of each engineering sub-project based on the number of days with bad weather, wherein the weather impact coefficient is less than 1, and the value of the weather impact coefficient is inversely proportional to the number of days with bad weather.

[0068] During the construction of the substation project, the construction environment has a significant impact on the construction efficiency. It is necessary to determine the second impact index by analyzing weather information and construction site conditions, so as to make more accurate adjustments to the second construction efficiency.

[0069] Taking the civil construction of the substation as an example, by querying the weather forecast data provided by the meteorological department, it is predicted that in the next 180-day construction period, the area will experience 15 days of heavy rain, 12 days of strong wind, and 8 days of extreme high temperature, totaling 35 days of bad weather. Bad weather refers to weather conditions that have a significant adverse impact on construction, including heavy rain (daily precipitation exceeds 50 mm), strong wind (wind force greater than level 6) and extreme high temperature (maximum temperature exceeds 35°C). According to the proportion of bad weather days to the total construction days (35 / 180=19.4%), the weather impact coefficient is determined to be 0.8 by looking up the table. The corresponding relationship used here is: when the proportion of bad weather is 0-10%, the coefficient is 0.95; 10%-15% is 0.9; 15%-20% is 0.8; and above 20% is 0.75.

[0070] S42, determining the site influence coefficient of each engineering sub-project according to the construction site conditions, wherein the site influence coefficient is less than 1, and the value of the site influence coefficient is inversely proportional to the degree of complexity of the construction site.

[0071] At the same time, through on-site investigation, it was found that a large amount of equipment and materials were piled up around the civil construction area, construction machinery frequently entered and exited, and the site was relatively crowded. The construction site conditions refer to the site environmental factors that affect the development of construction work, including the site space layout, material stacking, and mechanical equipment occupancy. According to the actual site situation assessment, the site's level of confusion reached a medium level, and the corresponding site impact coefficient was determined to be 0.9. The evaluation criteria here are: when the site is unobstructed and barrier-free, the coefficient is 0.95; when it is slightly mixed, it is 0.9; when it is moderately mixed, it is 0.85; when it is severely mixed, it is 0.8.

[0072] S43, taking the weather influence coefficient and the site influence coefficient as the second influence index.

[0073] Multiplying the weather impact coefficient of 0.8 and the site impact coefficient of 0.9, the second impact index of civil construction is 0.72. This calculation method takes into account the combined impact of the two main environmental factors of weather and site. For other engineering sub-projects, the same method is used to determine their second impact index. For example, the equipment installation project is mainly carried out indoors and is less affected by the weather. The weather impact coefficient is 0.95, but because the temporary storage of equipment occupies part of the construction space, the site impact coefficient is 0.85, and the final second impact index is 0.81.

[0074] S105, adjusting the second construction efficiency according to the second impact index, generating a target construction efficiency for each construction team, and determining a completion time for the power engineering project according to the target construction efficiency.

[0075] After determining the second impact index of each construction team, it is necessary to make a final adjustment to the second construction efficiency to obtain a target construction efficiency that is more in line with the actual situation, so as to scientifically predict the completion time of the project. The target construction efficiency is the actual construction efficiency that the construction team can achieve after considering the impact of process association and environmental factors.

[0076] Taking the substation project as an example, the second construction efficiency of the civil construction team is 200 cubic meters / day, and its second impact index is obtained by multiplying the weather impact coefficient (0.8) and the site impact coefficient (0.9), that is, 0.72. Therefore, the target construction efficiency of the civil construction team = 200 cubic meters / day × 0.72 = 144 cubic meters / day. Based on the project volume of 50,000 cubic meters, the estimated completion time is 347 days.

[0077] The second construction efficiency of the equipment foundation construction team is 0.067 foundations / day, and the second impact index is 0.8×0.85=0.68, so the target construction efficiency = 0.067 foundations / day×0.68=0.046 foundations / day. For the 12 equipment foundations that need to be constructed, the estimated completion time is 261 days (including the concrete curing period).

[0078] The second construction efficiency of the equipment installation team is 0.106 units / day, and the second impact index is 0.75×0.95=0.71, so the target construction efficiency = 0.106 units / day×0.71=0.075 units / day. The estimated completion time for the 8 major equipment to be installed is 107 days.

[0079] The second construction efficiency of the secondary installation team is 36 square meters / day, and the second impact index is 0.95×0.85=0.81, so the target construction efficiency = 36 square meters / day×0.81=29.16 square meters / day. The control room equipment installation area is 1,200 square meters, and the estimated completion time is 41 days.

[0080] The second construction efficiency of the cable laying team is 200 meters / day, and the second impact index is 0.75×0.8=0.6, so the target construction efficiency = 200 meters / day×0.6=120 meters / day. The total length of the cable to be laid is 3,000 meters, and the estimated completion time is 25 days.

[0081] According to the correlation between each process in the engineering network diagram, there is a possibility of partial parallel construction of civil construction and equipment foundation construction, which can reduce the construction period by 14 days; equipment installation must start after the equipment foundation is fully prepared; secondary installation can start when the equipment installation is 80% complete, which can be started 15 days in advance; cable laying needs to be carried out after the secondary installation is basically completed.

[0082] In this embodiment, the target construction efficiency refers to the construction efficiency that the construction team can achieve in actual construction after considering all influencing factors. The engineering network diagram is a schematic diagram showing the logical relationship between each process, which is used to determine the critical path of the project. The critical path is the longest process chain that determines the total construction period of the project. Parallel construction refers to a construction organization method in which multiple processes can be carried out simultaneously under the premise of ensuring construction safety and quality.

[0083] On the basis of the above embodiment, as an optional implementation mode, in S105, the second construction efficiency is adjusted according to the second influence index to generate the target construction efficiency of each construction team, including: arithmetically multiplying the weather influence coefficient, the site influence coefficient and the second construction efficiency to generate the target construction efficiency of each construction team.

[0084] During the construction of the substation project, in order to obtain a construction efficiency that is more in line with the actual situation, it is necessary to take the influence of construction environmental factors into consideration and generate the target construction efficiency by adjusting the second construction efficiency, thereby providing a more accurate basis for the formulation of the construction plan.

[0085] Taking the civil construction in the substation project as an example, the second construction efficiency of the construction team is 200 cubic meters / day, which is the construction efficiency after considering the influence of process connection. The weather influence coefficient obtained through preliminary analysis is 0.8 (forecasting 35 days of bad weather within 180 days), and the site influence coefficient is 0.9 (the site has a moderate degree of mixing). Multiply these three values: 200 cubic meters / day×0.8×0.9=144 cubic meters / day, and you will get the target construction efficiency of the civil construction team. The target construction efficiency refers to the construction efficiency that the construction team can achieve under actual conditions after considering the influence of process association and environmental factors.

[0086] The same calculation method is also applicable to other construction teams. For example, the second construction efficiency of the equipment foundation construction team is 0.067 foundations / day, the weather impact coefficient is 0.85 (there are 30 days of bad weather during the forecast period), and the site impact coefficient is 0.88 (the site is slightly mixed). The three are multiplied together to get the target construction efficiency of 0.050 foundations / day. The second construction efficiency of the equipment installation construction team is 0.4 units / day, the weather impact coefficient is 0.95 (indoor construction is less affected by weather), and the site impact coefficient is 0.85 (temporary stacking of equipment takes up space). The target construction efficiency is calculated to be 0.323 units / day.

[0087] According to the target construction efficiency, the completion time of the power engineering project is determined, including: Obtain the actual construction progress of each engineering sub-project; compare the actual construction progress of each engineering sub-project with the engineering progress plan to obtain the progress deviation; when the progress deviation is greater than the preset threshold, re-obtain the construction environment, and re-determine the second impact index based on the updated construction environment; regenerate the target construction efficiency of each construction team based on the updated second impact index, and update the engineering progress plan.

[0088] In one example, during the construction of a substation project, in order to ensure that the project proceeds as planned, a dynamic progress monitoring and adjustment mechanism needs to be established. By tracking the construction progress in real time, progress deviations can be discovered and handled in a timely manner, thus ensuring the smooth implementation of the project.

[0089] Taking the civil engineering project of a substation as an example, the actual construction progress is obtained through construction logs and on-site measurement data. On the 30th day, the planned earth excavation was 6,000 cubic meters, and the actual completion was 5,400 cubic meters, with a progress deviation of -10% (the difference between the actual completion amount and the planned completion amount). The preset progress deviation threshold is ±8%. When the actual progress deviation exceeds this range, the construction environment needs to be re-evaluated and the construction plan needs to be adjusted. Progress deviation refers to the difference between the actual construction progress and the planned progress, which can be expressed as the difference ratio of the completed project volume.

[0090] Since the progress deviation of -10% exceeds the preset threshold of ±8%, it is necessary to re-acquire the construction environment information. Through the updated weather forecast, it is found that there will be continuous rainy weather in the next month, and the number of days affecting the construction is expected to increase to 45 days, accounting for 25% of the total construction period. Based on this, the weather impact coefficient is adjusted from the original 0.8 to 0.75. At the same time, due to the need to increase construction machinery to rush the work, the site is more crowded, and the site impact coefficient is reduced from 0.9 to 0.85. Multiplying the two coefficients, the updated second impact index is 0.64 (originally 0.72).

[0091] According to the updated second impact index of 0.64, the target construction efficiency of the civil construction team is recalculated: 200 cubic meters / day × 0.75 × 0.85 = 127.5 cubic meters / day (originally 144 cubic meters / day). Based on the new target construction efficiency, the project schedule is updated: the remaining 4,600 cubic meters of earthwork (10,000-5,400) will take 36 days to complete (4,600÷127.5), which is 8 days longer than the original plan. This dynamic adjustment makes the project schedule more in line with the actual situation.

[0092] The method also includes: obtaining historical construction data of each construction team; establishing a construction efficiency prediction model based on the historical construction data; and dynamically adjusting the construction efficiency of each construction team using the construction efficiency prediction model.

[0093] In the construction management of substation projects, in order to make the construction efficiency prediction more accurate, it is necessary to make full use of historical construction data to establish a prediction model and realize dynamic optimization and adjustment of construction efficiency. This data-driven management method can continuously improve the accuracy of construction efficiency prediction.

[0094] Taking a substation civil construction team as an example, historical construction data of 15 similar projects participated in in the past three years were collected, including information such as daily construction volume, weather conditions, site conditions, staffing, and equipment investment. Historical construction data refers to various types of construction information accumulated by the construction team in previous projects. These data record various factors affecting construction efficiency and their corresponding actual construction efficiency. Through data analysis, it was found that under standard weather conditions (no bad weather) and site conditions (unobstructed site), the average construction efficiency of the construction team was 210 cubic meters / day, with a standard deviation of 15 cubic meters / day.

[0095] Based on these historical data, a multi-factor regression construction efficiency prediction model was established. The model takes construction efficiency as the dependent variable, and weather conditions (expressed by the number of bad weather days), site conditions (expressed by site occupancy rate), number of personnel, number of mechanical equipment, etc. as independent variables. The mathematical expression of the prediction model is: Y=210-2.5X1-1.8X2+12X3+8X4, where Y is the predicted construction efficiency (cubic meters / day), X1 is the number of bad weather days, X2 is the site occupancy rate (%), X3 is the increase or decrease ratio of the number of construction personnel, and X4 is the increase or decrease ratio of the number of mechanical equipment. The construction efficiency prediction model refers to a calculation model established by mathematical methods for predicting construction efficiency, which can dynamically predict construction efficiency according to changes in various influencing factors.

[0096] In actual applications, when new construction conditions are obtained, the model can quickly calculate the adjusted construction efficiency. For example, if there are five days of bad weather in a certain month, the site occupancy rate is 30%, the number of personnel increases by 10%, and the equipment remains unchanged, the model is substituted to calculate: Y=210-2.5×5-1.8×30+12×0.1+8×0=158.7 cubic meters / day. This predicted value can serve as an important reference for adjusting the target construction efficiency.

[0097] Based on the above method, the present application also discloses a power engineering project progress prediction system, such as Figure 2 As shown, Figure 2 : is a structural diagram of a power engineering project progress prediction system provided by an embodiment of the present application, the system includes: an acquisition module, a calculation module, a generation module, a first determination module and a second determination module; wherein, An acquisition module is used to split the power engineering project into multiple engineering sub-projects, obtain the construction data of the construction team corresponding to each engineering sub-project, and the correlation data between the engineering sub-projects; a calculation module is used to calculate the first construction efficiency of each construction team based on the construction data; a generation module is used to determine the first influence index of the first construction efficiency based on the correlation data, and adjust the first construction efficiency according to the first influence index to generate the second construction efficiency of each construction team; a first determination module is used to obtain the construction environment of each engineering sub-project, and determine the second influence index of the second construction efficiency according to the construction environment; a second determination module is used to adjust the second construction efficiency according to the second influence index, generate the target construction efficiency of each construction team, and determine the completion time of the power engineering project according to the target construction efficiency.

[0098] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0099] See also Figure 3 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown, the electronic device 1000 may include: at least one processor 1001 , at least one network interface 1004 , a user interface 1003 , a memory 1005 , and at least one communication bus 1002 .

[0100] The communication bus 1002 is used to realize the connection and communication between these components.

[0101] The user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0102] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0103] Among them, the processor 1001 may include one or more processing cores. The processor 1001 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Optionally, the processor 1001 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 1001 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1001, and it can be implemented separately through a chip.

[0104] Among them, the memory 1005 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1005 may optionally also be at least one storage device located away from the aforementioned processor 1001. As Figure 3 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of a method for predicting the progress of a power engineering project.

[0105] exist Figure 3 In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 1001 can be used to call an application program for a method for predicting the progress of a power engineering project stored in the memory 1005. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0106] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more of the methods described in the above embodiments.

[0107] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0108] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0109] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0111] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0112] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0113] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for predicting the progress of a power engineering project, characterized in that: The method comprises: Split the power engineering project into multiple engineering sub-projects, obtain the construction data of the construction team corresponding to each engineering sub-project, and the associated data between each engineering sub-project; Calculating the first construction efficiency of each of the construction teams according to the construction data; Determine a first impact index of the first construction efficiency according to the associated data, and adjust the first construction efficiency according to the first impact index to generate a second construction efficiency of each construction team; Acquire the construction environment of each of the engineering sub-projects, and determine a second impact index of the second construction efficiency according to the construction environment; The second construction efficiency is adjusted according to the second impact index to generate a target construction efficiency for each construction team, and the completion time of the power engineering project is determined according to the target construction efficiency.

2. The method for predicting the progress of a power engineering project according to claim 1, characterized in that: The associated data includes process connection relationships and process constraint time, and determining the first impact index of the first construction efficiency according to the associated data includes: According to the process connection relationship, determine the combination of engineering sub-projects that affect each other; According to the process constraint time, calculating the constraint influence relationship of the first construction project sub-project on the later construction project sub-project in each of the project sub-project combinations; According to the constraint influence relationship, the first influence index of the construction team corresponding to each engineering sub-project in the engineering sub-project combination is determined, wherein when the progress of the engineering sub-project to be constructed first is delayed, the value of the first influence index is less than 1, and the value of the first influence index is inversely proportional to the degree of delay in the construction progress.

3. The method for predicting the progress of a power engineering project according to claim 2, characterized in that: The step of adjusting the first construction efficiency according to the first impact index to generate the second construction efficiency of each construction team includes: Determine whether there is a progress delay in the engineering sub-projects that are constructed first in each of the engineering sub-project combinations; When the progress of the first construction sub-project is delayed, the first construction efficiency of the construction team corresponding to the later construction sub-project is multiplied by the corresponding first impact index to obtain the second construction efficiency; When there is no progress delay in the first construction sub-project, the first construction efficiency of the construction team corresponding to the later construction sub-project is used as the second construction efficiency; The first construction efficiency of the construction team corresponding to the engineering sub-projects that do not affect each other is taken as the second construction efficiency.

4. The method for predicting the progress of a power engineering project according to claim 1, characterized in that: The construction environment includes weather information and construction site conditions. The determining of the second impact index of the second construction efficiency according to the construction environment includes: According to the weather information, the number of days with bad weather at the construction site of each of the engineering subprojects within a preset time period is predicted, and according to the number of days with bad weather, the weather impact coefficient of each of the engineering subprojects is determined, wherein the value of the weather impact coefficient is less than 1, and the value of the weather impact coefficient is inversely proportional to the number of days with bad weather; Determine the site influence coefficient of each of the engineering sub-projects according to the construction site conditions, wherein the site influence coefficient is less than 1, and the value of the site influence coefficient is inversely proportional to the degree of confusion of the construction site; The weather influence coefficient and the site influence coefficient are used as the second influence index.

5. The method for predicting the progress of a power engineering project according to claim 4, characterized in that: The step of adjusting the second construction efficiency according to the second impact index to generate a target construction efficiency for each construction team includes: The weather influence coefficient, the site influence coefficient and the second construction efficiency are arithmetically multiplied to generate the target construction efficiency of each construction team.

6. The method for predicting the progress of a power engineering project according to claim 1, characterized in that: After determining the completion time of the power engineering project according to the target construction efficiency, the method further includes: Obtaining the actual construction progress of each of the engineering sub-projects; comparing the actual construction progress of each of the engineering sub-projects with the engineering progress plan to obtain a progress deviation; When the progress deviation is greater than a preset threshold, reacquiring the construction environment, and re-determining the second impact index according to the updated construction environment; The target construction efficiency of each construction team is regenerated according to the updated second impact index, and the project progress plan is updated.

7. The method for predicting the progress of a power engineering project according to claim 1, characterized in that: The method further comprises: Obtaining historical construction data of each of the construction teams; Establishing a construction efficiency prediction model based on the historical construction data; The construction efficiency prediction model is used to dynamically adjust the construction efficiency of each construction team.

8. A power engineering project progress prediction system, characterized in that: The system comprises: an acquisition module, a calculation module, a generation module, a first determination module and a second determination module; wherein, The acquisition module is used to split the power engineering project into multiple engineering sub-projects, obtain the construction data of the construction team corresponding to each engineering sub-project, and the associated data between each engineering sub-project; The calculation module is used to calculate the first construction efficiency of each construction team according to the construction data; The generating module is used to determine a first impact index of the first construction efficiency according to the associated data, and adjust the first construction efficiency according to the first impact index to generate a second construction efficiency of each construction team; The first determination module is used to obtain the construction environment of each of the engineering sub-projects, and determine the second impact index of the second construction efficiency according to the construction environment; The second determination module is used to adjust the second construction efficiency according to the second impact index, generate a target construction efficiency for each construction team, and determine the completion time of the power engineering project according to the target construction efficiency.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

Images